Home > Archives > Latest issue
International Review on Computers and Software Vol. 7 N. 5-- Part A
International Review on Computers and Software Vol. 7 N. 5-- Part B
International Review on Computers and Software Vol. 7 N. 5-- Part C
International Review on Computers and Software - Papers
Parallel Genetic Cryptanalysis
by
Abdelwadood Mesleh
Vol. 7. n. 5, pp. 1948-1953
Abstract - In this work, a parallel
genetic cryptanalysis (PGC) algorithm for the basic substitution permutation
network is implemented.
The parallel elitism GA algorithm is implemented using OpenMP. The PGC
proves itself to offer a significant performance advantage over the elitism
genetic algorithm as it gains a 1.6 speedup on a dual core Pentium IV machine.
In all the cryptanalysis experiments, the PGC algorithm gets the entire key
bits.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Cryptanalysis,
Parallel Genetic Algorithm, GA.
Circular Sector DCT based Feature Extraction for Enhanced
Face Recognition with Image Segmentation as a Pre-processing Step
by
Abhishek A. K., Aneesh M. U., Arun B. V., Darshan Kumar S. Yaradoni,
K. Manikantan, S. Ramachandran
Vol. 7. n. 5, pp. 1954-1968
Abstract - This paper proposes and
investigates the potential of performing Face Recognition (FR) using face
databases consisting of segmented images of ORL, color FERET and Extended Yale
B. A novel method of extracting DCT coefficients in the form of quadrant of
circle is proposed. A way of creating compressed database using segmented images
is proposed. We observe that
multilevel thresholding based segmentation retains the features required for FR,
while at the same time laying a ground for Edge Detection. Results of the
experiments conducted on illumination variant database show increased
Recognition Rate (RR) for segmented images. Further, we establish that using
Tsallis entropy based segmented images for FR does not deteriorate RR. This also
implies that the proposed FR system is robust for segmented images as well.
Furthermore, testing time for the segmented FERET reduces by nearly 8 seconds as
compared to the original database.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Edge Detection,
Multilevel Thresholding, Segmented Databases, Face Recognition, Dct, Tsallis
Entropy, Feature Extraction, Feature Selection, Image Compression.
DWT Based Feature Extraction Using Normalized Magnitude
Based
Thresholding and Multilevel Illumination
Normalization for
Enhanced Face Recognition
by
Milan S. Shet, Minal Patel, K. Manikantan, S. Ramachandran
Vol. 7. n. 5, pp. 1969-1985
Abstract - This paper proposes two
novel techniques based on Discrete Wavelet Transform (DWT) for enhancing the
performance of Face Recognition (FR) systems. The wavelet approach is used for
feature extraction and also as a pre-processing step. The first technique,
Normalized Magnitude based Thresholding (NMBT), is used in feature extraction
along with DWT to improve performance of the FR system for ORL database. The
second technique, DWT based Multilevel Illumination Normalization (DWT – MIN),
is a preprocessing technique which accounts for normalizing the illumination
variance in images. Together with Feature Selection using Binary Particle Swarm
Optimization and Image Pre-processing techniques such as Resolution Reduction,
Gamma Intensity Correction and Edge Detection, we obtain an improved Recognition
Rate and a reduced number of selected features for the proposed FR systems.
Experiments conducted on ORL, YaleB and Color FERET face databases show an
enhanced performance as compared to other FR systems.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Discrete Wavelet
Transform based Multilevel Illumination Normalization (DWT-MIN), Face
Recognition, Feature Extraction, Image pre-processing, Normalized Magnitude
Based Thresholding (NMBT).
Image Encryption Algorithm Based on Fractional Fourier
Transform
by Yu
Shang, Shasha Lei, Yuxiong Shang
Vol. 7. n. 5, pp. 1986-1989
Abstract - To make up for the
deficiency of the current image encryption algorithm based on fractional Fourier
transform, a new image encryption algorithm is introduced in the paper, which
combines fractional Fourier transform and chaotic systems.
The safety of this algorithm depends on random chaotic images, fractional
Fourier transform order and initial parameters of chaotic system. The
theoretical analysis and experimental results show that the algorithm has good
image encryption effect.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Fractional Fourier
Transform, Chaotic Scrambling, Image Encryption.
Land Use Mapping of Tikrit City by Using Remote Sensing Data
by
Amera I. Hussain Koshnow, Sedeeq M. Jasim
Vol. 7. n. 5, pp. 1990-1995
Abstract - The remote sensing data with combination of computer soft wares can
produce a valuable information on land use and land cover. Land use/land cover
mapping leads to monitor the change over a period of time, as well as
environmental change. Climate change and political changes can effect the land
use and land cover. In this work the ERDAS Imagine v.8.3, Arc view GIS 9.2, Map
Window and Global Mapper computer software’s were used to develop a land use map
for city of Tikrit within Salah Al-Din province.
Using Google Earth
program images .City of Tikrit classified in to (4) significant land use of
level I which are urban or building, agriculture, water and bare land in
addition to the level II and level III classification which included (9)
different land use maps for the
Tikrit city.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Land Use, Land Cover, Tikrit City, Classification System, Satellite Data,
Softwares Programs.
Optimum Feature Extraction with Wavelet Transform
by
Somayeh Ayoobi, Hossein Pourghassem
Vol. 7. n. 5, pp. 1996-2002
Abstract - Iris recognition is known as an accurate reliable technique for human
identification. Feature extraction and noise removing are crucial steps and
important tasks for iris recognition. In this paper, an optimum feature
extraction algorithm based on Wavelet transform for iris recognition is
proposed. In this algorithm, different features are used based on Haar wavelet
transform.
These features are
extracted from different coefficients such as horizontal, vertical and diagonal
coefficients or combination of them in different levels and their performance is
evaluated.
Experimental
results show that combination of CV4 and CD4 in the forth level of wavelet
transform obtains the best results.
This algorithm is
efficient and gives acceptable accuracy. In this work, we have used CASIA Iris
database consisting of 756 images to evaluate our proposed algorithm.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Iris Recognition, Feature Extraction, Wavelet.
Improvement of Thai Speech Emotion Recognition
by
Igor Stankovic, Montri Karnjanadecha, Vlado Delic
Vol. 7. n. 5, pp. 2003-2015
Abstract - Emotions are not usually expressed in the Thai language, because
emotional stress would interfere with the speaker’s meaning, which makes emotion
recognition using Thai speech difficult. Humans use audio cues to recognize
fear, anger and disgust, while happiness and surprise seem to be strong “visual”
emotions. Our experiments prove this assumption and we present a simple way to
combine speech and facial features. The proposed Thai emotion recognition system
augments the speech emotion recognition process with face feature analysis via
an audiovisual Thai emotion database.
Our speech emotion
recognizer is based on calculating mel-frequency cepstral coefficients, zero
crossing rate, and energy from short-time speech signals. Our face feature
analysis is composed of several newly proposed approaches, includes the use of a
reference point and middle frames in image sequences, and fully automatic facial
landmark point extraction. It produces very good facial expression recognition
results and improves the accuracy of the overall system and reduces errors.The
combination of speech and facial expressions show that both vision and hearing
play an important part in expressing and recognizing emotions.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Thai Speech Emotion Recognition, Facial Expression Recognition, Audiovisual
Thai Emotion Database.
Blind Detection of Synthesized JPEG Image
by
Xiangjin Zhou, Feng Li, Lingyun Xiang
Vol. 7. n. 5, pp. 2016-2021
Abstract - JPEG compression introduces quantization noise leading to the
inconsistencies of statistical characteristics between tampered region and
background region of the synthesized image, thus this paper proposes an
algorithm to blindly detect color synthesized JPEG image via quantization noise
analysis. Firstly, the synthesized image is recompressed using a higher
quantization matrix and the corresponding quantization noise is calculated. Then
PCA is employed to separate different components of the quantization noise.
Finally, by using binary and morphology operation to the first PCA component,
the tampered regions would be detected and located. Experimental results show
that our proposed algorithm is simple and effective.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
JPEG Quantization Noise, PCA, Color Synthesized Image, Blind Detection.
A Botnet Detection System Using Multiple Classifiers
Strategy
by
Ezzat Alsous, Ammar Alsous
Vol. 7. n. 5, pp. 2022-2028
Abstract - Among the various forms of intrusions and malware, bots are considered as
the largest known security threat, and it leads to an open issue in the problem
of Intrusion Detection Systems. Botnets provide a distributed platform and can
perform a huge number of illegal operations on the network or a specific victim.
In addition bots can attack the different structures of network; such as IRC,
P2P, Http, Ftp and DNS. Recently many of researches have been interested in the
topic of botnet detection. This paper provides a botnet detection system using
multiple classifiers. Multiple classifiers method uses a set of classifiers and
tries to find the better combination method between them to give a true answer;
this method allows compensating the error of one classifier by true answers of
the others, also it decreases the probability of falling in a local optimum.
Eight single classifiers have been used in our multiple classifier system. These
classifiers are as the following: five neural networks with different
parameters, one LDA classifier, one QDA classifier and a Bayesian network
classifier. Then a majority voting strategy has been considered to combine the
results of these classifiers. The system has been implemented and tested on
feasible part of standard bot set. The results of this system show that the
multiple classifiers system behaves better than its components; also it can tune
the sensitivity of the system, whereas this feature is not possible in the
single classifiers.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Botnet Detection, Multiple Classifiers, Traffic Analysis, Neural Networks,
LDA, QDA, Bayesian Network.
The Performance Comparison and Improvement
by
Yunfeng Dong, Bei Qi, Guixin Zhao
Vol. 7. n. 5, pp. 2029-2033
Abstract - This paper have studied algorithms that commonly used in music retrieval
by humming, evaluated the performance of algorithms and improved one of them. In
order to support study of various approximate match algorithms’ compare, an
algorithm-independent test platform was developed to evaluate the performance of
algorithms. The basic algorithms include hidden Markov models, approximation
melody algorithm, dynamic time wrapping and similarity matching algorithm. The
author have carried out experiments on the algorithms of approximation melody
algorithm, dynamic time wrapping and similarity matching algorithm, analyzed and
evaluated them. The experiment results indicate that, similarity matching
algorithm improved approximation melody algorithm’s efficiency.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Music Humming Retrieval, Dynamic Time Wrapping, Approximation Melody
Algorithm, Similarity Matching Algorithm.
Multispectral and Panchromatic Image Fusion
by
Xiaoqing Luo, Xiaojun Wu
Vol. 7. n. 5, pp. 2034-2040
Abstract - It is an important issue in remote sensing image fusion that effectively
combines the high spatial and high spectral resolutions in order to obtain the
complete and accurate description of the observed scene. In previous research,
various algorithms have been proposed. However, the available methods could
hardly produce the satisfactory results especially in the spectral aspect. In
this paper, a new fusion method based on multi-feature and wavelet transform is
proposed to fuse panchromatic image (PAN) with multispectral image (MS). This
approach uses entropy component analysis (ECA) and adaptive principal component
analysis (APCA) to eliminate band redundancy. The first principal component of
MS (FPCM) and PAN is decomposed using wavelet. PAN is divided into windows and
extract multi-feature of window and then get region. For low frequency subband,
the low frequency coefficient of FPCM is selected as that of fusion image. A
statistical model method based on region is adopted as high frequency fusion
rule. High resolution multispectral image is then obtained by an inverse wavelet
and ECA transform. Experimental results including visual and numerical
evaluation also proves the superiority of the proposed method to its
counterparts. .
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Image Fusion, Wavelet Transform, Principal Component Analysis,
Multi-Feature.
Research on Sharing of Mechanical Design Knowledge
by Jun
Zhou, Watanuki Keiichi
Vol. 7. n. 5, pp. 2041-2044
Abstract - In this paper, we propose an ontology for the field of mechanical design
that enable the sharing of mechanical design knowledge. In the process
of ontology construction, meta-concepts in mechanical design field are
extracted, relationships between the concepts are then defined, and
finally knowledge is integrated based on the experience and inference of
the designer. Then, the ontology has been used in the development and
design of learning contents environment. When learning contents
environment is designed, ontology plays an important role in the
structuring of mechanical design knowledge. By doing this, the tacit
information will be made clear and understandable that solves the
problem of knowledge sharing and reusing.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Ontology, Meta-Concept, E-Learning, Data Sharing, Mechanical Design
Knowledge.
Delving Into Knowledge Modeling Software Supporting
by
Reza Kalbasi, Ali Alesheikh, Saeid Amanzadeh
Vol. 7. n. 5, pp. 2045-2053
Abstract - The proficiency of
ontologies as the formal explication of knowledge in different domains has
motivated numerous software engineers to develop miscellaneous ontology editors.
The recent propensity of ontology engineering community, collaborative ontology
development, necessitates exclusive ontology platforms supporting collaborative
aspects. Although a few research have strived to look over the collaborative
ontology editors, they have not determined a complete list of requirements and
benchmarks for their investigations. Therefore, collaborative ontology
development requirements have been proposed in this research comprehending
collaborative methodologies and platforms. Regarding to these touchstones, two
existing categories of collaborative ontology editors have been explored here.
The most discussed and applied instances of these platforms, wiki-based and
non-wiki-based, have been enumerated in this paper too. The itemization,
description, and evaluation of platforms can be fruitful for the ontology-based
applications in future. The results of this research (in the context of an
ongoing EU project) demonstrate that workflow support, reliability of software,
and integration/representation/storing of changes are the prominent gaps of
current collaborative ontology development platforms.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Software
Engineering, Collaborative Ontology Development, Wiki-Based Ontology Editors,
Non-Wiki-Based Ontology Editors.
A Robust Distributed Boosting Algorithm in Imbalanced
by
Redouane Semghouni, Sid Ahmed Rahal
Vol. 7. n. 5, pp. 2054-2061
Abstract - Boosting algorithm is a
popular technique for the construction of ensembles of highly accurate
classifiers, learning these classifiers is sequentially, and the process takes
time and memory with a high dimension data. Learning from distributed data has
many problems, like the learning from imbalanced data (where we find in each
distant site one or two class that dominate all other class). In this paper
first we propose a parallel and distributed version of the boosting algorithm,
and then we propose a robust strategy using ontology to equilibrate data
virtually over all distant sites. In our distributed learning approach, we built
a classifier at each round at each node, then the classifiers are exchanged
between all nodes, and the best classifier based in some criteria is retained to
update weights for the next iteration in all nodes. Each classifier is built
from a virtual database and not from the real database. This virtual database is
created by the ontology. This will assure a very well achievement of the
distributed data mining algorithm. This approach is tested with several data
sets with several case of partitioning. Our experience show that this approach
is better in accuracy, faster and scalable compared to the standard sequential
boosting.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Parallel and
Distributed Boosting, Imbalanced Distributed Data, Ontology, Fragmentation,
Equilibration Strategy.
An Approach to Resource Recommend by Using Tag
by
Elahe Sabetnia, Mehrdad Jalali, Taha Asgari
Vol. 7. n. 5, pp. 2062-2069
Abstract - Nowadays due to increase volume of data, finding correct and accurate
data become significant challenge which without computer systems that is
impossible. Then, we always need a system which can find suitable information in
short time within vast of data. Recommendation systems are solution of this
problem.
Recommendation
systems by using Data Mining technique can provide appropriate offers and choose
prominent information from among large of data. When the user logged for first
time his/her profile is null which is critical problem in these systems, so by
using approach based on collaboration any similar user for this user is not
found which represent Cold-Start problem.In this issue we proposed tag based on
resource recommendation system which can help to user in select suitable
resources. In this system offers to user based on user's personal interests,
interests of similar users, content resources, databases which associated with
ontology and related words.
The present method
resolved Cold-Start problem in the beginning executes system by combined and
integrated methods based on content, collaboration, related words and user
profile that means it is greatest advantage of present system rather than
previous systems. The proposed system’s evaluation performed on a dataset
collected from
Delicious.com.
Evaluation results of proposed method illustrate this method general quality of
recommendations that has been improved.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Recommendation System, Tag, Ontology, Resource Recommender, Cold Start,
Collaborative Method, Content Based Method.
A Comparative Study on Feature Selection
by H.
Senoussi, B. Chebel-Morello, M. Denaï, N. Zerhouni, A. H. Boudinar
Vol. 7. n. 5, pp. 2070-2077
Abstract - A fault detection system, which is regarded as a classification task, is
developed in this work. The classes considered here are the nominal or
malfunctioning state. To develop a decision system it is important to select
from the whole data set collected by the supervision system, only those carrying
relevant information related to the decision task. A comparative study of five
feature selection algorithms applied to the fault detection data is presented.
The algorithms are tested on real medical diagnosis and fault detection
benchmarks. The results obtained indicate that a small number of measures can
accomplish and perform the classification task.
The proposed classification method is compared with three well-known
classifiers.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Feature Selection, Fault Detection, Decision Tree, k-NN, SVM.
A New Approach for Reinforcement Learning
by W.
Zemzem, M. Tagina
Vol. 7. n. 5, pp. 2078-2087
Abstract - In this paper, a new reinforcement learning approach, called DAC-PS, is
developed for solving the problem of an autonomous mobile robot navigating in an
unknown and dynamic environment.
This problem is principally related to the exploration/ exploitation dilemma,
especially the need to find a solution letting the robot to detect the
environmental change and also to learn in order to adapt to the new
environmental form without ignoring knowledge already acquired. In this study,
firstly, an environmental model is built by experience of the robot and is used
to detect environmental changes. Secondly, prior knowledge is updated after each
reported change and only valid information is kept. Then, the learning step is
done using Prioritized Sweeping algorithm (PS).
Finally, an
intelligent exploration/exploitation policy based on an auto-evaluation of
learning is implemented in order to help the robot to choose the adequate action
at every learning step and to be able to detect all changes including those
which occurred in areas far from the path currently taken by the robot. The
conducted simulation tests indicate the strength of the new proposed approach
for the navigation of an autonomous mobile robot in a non stationary
environment. The results show that DAC-PS performs better than some RL
algorithms and that it has advantages over methods specifically designed to cope
with non-stationary.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Reinforcement Learning, DAC-PS, Autonomous Mobile Robot, Unknown And Dynamic
Environment, Prior Knowledge, Valid Information, Path, Exploration/Exploitation
Policy, Non-Stationarity.
Leveraging Data-Plane Information to
by
Yujing Liu, Jinshu Su
Vol. 7. n. 5, pp. 2088-2094
Abstract - BGP prefix hijacking is a serious security threat to the Internet’s
routing system. Despite many detection mechanisms have been proposed, few of
them are practically deployed in a large scale. Inaccuracy of detection and
inefficiency of deployment are two major causing problems. In this paper, with
the purpose of Leveraging Data-plane information to detect Control-plane
problem, we present a system LDC to detect BGP prefix hijacking attacks by
passively monitoring Load Distribution Change on direct providers of prefix’s
owner. Through large amount of simulations of hijacking attacks and AS failure
events based on empirical data, we evaluate the accuracy of LDC under different
configurations and give suggestions about choosing detection threshold according
to our statistic results. Moreover, based on history data, we employ LDC to
detect a real prefix hijacking event, the YouTube event, to exemplify its usage
and flexible configuration.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
BGP Prefix Hijacking, Detection, Load Distribution, Direct Provider.
Software Quality Assessment using Flexibility:
by
Hema Subramaniam, Hazura Zulzalil
Vol. 7. n. 5, pp. 2095-2099
Abstract - Software flexibility has been viewed as one of the software quality
determinant factors apart from usability, reliability and maintainability.
Software expected to achieve high level of flexibility in order to comply with
current dynamic nature of user requirement. However, there is no effort on
systematically collect, review and synthesize article that relate to this topic.
This trigger a need for a systematic literature review whereby it covers
software flexibility concept in the context of software quality assessment and
various perspective of quantifying it. Literature search related to software
quality and flexibility reveal 360 papers, and after further reading, 29
articles identified as primary paper. Traceability metrics and mind map used to
locate the current research and resolved problem in the field of software
flexibility. Information regarding software flexibility measurement in assessing
software quality also been extracted through literature review. This paper
serves as tool for software developer to anticipate the available software
flexibility measurement method and tools in the process of assessing software
quality.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Software Quality Assessment, Flexibility Measurement, Extensibility,
Maintenance Evaluation, Systematic Literature Review.
Research on the Evaluation System of University’s
Scientific Research
by
Wang Bei, Liu Dongsheng
Vol. 7. n. 5, pp. 2100-2105
Abstract - University is an essential part of the national scientific research
innovation system. It becomes a significant topic in academic research to
evaluate innovation ability of university. First,
this paper selects various indexes to evaluate the innovation of
university's scientific research achievement. Then, an evaluation system of
university’s scientific research achievement of is established. At last,
according to the evaluation system, analyze and evaluate a specific university
by using analytic hierarchy process (AHP) and fuzzy synthetic evaluation model.
This paper expects to reflect the innovation ability of university by evaluating
the innovation of its scientific research achievement and provide references for
functional departments.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
University, Innovation Ability, Evaluation System, Scientific Research
Achievement, Analytic Hierarchy Process, Fuzzy Synthetic Evaluation Model.
Classification of Data Center to Maximize Energy
Utilization and
by
Mueen Uddin, Azizah Abdul Rahman, Suhail Kazi, Raed Alsaqour
Vol. 7. n. 5, pp. 2106-2115
Abstract - Multi-tier data centers have become a norm for hosting modern Internet
applications as they provide a flexible, modular, scalable and high performance
environment. However, these benefits come at a price of the economic dent
incurred in powering and cooling these large hosting centers. Energyefficiency,
performance, power utilization and environmental considerations become critical
considerations in designingand implementing large, cluster-based multi-tier data
centers for supporting a multitude of services. Tierperformance standards are
key features for comparing the capabilities of a particular design topology
against others or to compare group of data centers. This paper proposes to
categorize data centers in four tier level categories depending on different
parameters like performance, facilities, throughput, and subsystems in data
center.
The proposed
technique helps to measure the performance and efficiency accurately and
resourcefully. The classification helps technical and non-technical data center
managers in identifying the anticipated performance of site infrastructure and
design topologies equipped with latest data center standards to measure the
performance and efficiency in terms of energy utilization and emission of
greenhouse gases very hazardous for environmental sustainability and global
warming.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Energy Efficient Data Center, Green IT, Tier Level Requirements,
Virtualization, Tier Level Correlation.
Age-Based Replication Strategy for Data Grids
by Y.
Yusof, M. Madi
Vol. 7. n. 5, pp. 2116-2120
Abstract - Data Grid is an infrastructure that manages huge amount of data files,
and provides intensive computational resources across geographically distributed
collaboration. To increase resource availability and to ease resource sharing in
such environment, there is a need for replication services.
Data replication is
one of the methods used to improve the performance of data access in distributed
systems. In this paper, we propose a dynamic replication strategy thatevaluates
and decide on which file to be created based on three criteria: users’ requests,
files’ requests and files’ age. Simulation results (via Optorsim) show that the
Age-Based Replication Strategy (ABRS) outperformed LALW in the measured metrics
– mean job execution time, effective network usage and average storage usage.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
File Value, Number of Access, Popular File, Replication Strategy, Data Grid.
AODV Protocol Behavior Based on H.264 Multiservice Traffic
by A.
Choukri, M. Amnai, A. Habbani, M. Elkoutbi
Vol. 7. n. 5, pp. 2121-2125
Abstract - Mobile Ad-Hoc network is a
collection of mobile nodes in communication without using any fixed
infrastructure. As the multiservice traffic compressors used today's grows, we
need to verify if the available protocols support their applications. Therefore,
in this paper we have studied the impact of multiservice traffic (MPEG-1,
MPEG-4, H.264) on the performances of On-Demand Distance Vector (AODV) protocol.
The analysis has been done according to End-to-End Delay, Throughput and Packet
Delivery ratio performance metrics. We discovered that the traffic type has huge
impact on the AODV performances.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
AODV, VBR, QoS,
MANET.
Application of Activity Theory and Particle Swarm
Optimization
by
Imran Ali Siddiqui, Manuj Darbari, Sunita Bansal
Vol. 7. n. 5, pp. 2126-2130
Abstract - The paper highlights the
issue of cooperative Software Development using the concept of Activity Theory
and Particle Swarm Optimization (PSo). The concept of Activity Theory refines
the entire process of software development and the selection of Personality
Traits of Myer Brigg Personality Traits (MBTI) along with MPSO provides a strong
set of knowledgebase creation for varied type of software project.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Cooperative
Software Development, Activity Theory, MPSO, MBTI.
A Combined Petri Nets and Model-Driven Engineering for
by
Sabri Mtibaa, Moncef Tagina
Vol. 7. n. 5, pp. 2131-2138
Abstract - With the emergence of technologies such as workflow and web services supported by Service Oriented Architecture (SOA), blending of services provided by organizations become more and more instrumental. Organisations exert great efforts to not only fulfill functional requirements of their business processes but also satisfy their non-functional conditions by producing good overall Quality of Service (QoS).
The purpose of this paper is to present an approach to accomplish verification in the early modeling phases of a Service-Based Application. This approach will allow verifying some user-defined Non-Functional Requirements (NFRs) easier. This work introduces our proposed prototype tool for NFRs specification using domain specific language. It ensures automatic verification chain for applications models based on Petri nets. Thanks to this chain, designers can check model validity without any prerequisite knowledge on how it actually was accomplished.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Workflow, SOA, QOS, Verification, NFRS Specification, Domain Specific Language, Petri Nets.
A Component Repository and Search Engine Tool
by
Michael I. Loupis, Christoforos Kavadias, Nick P. Papanikolaou
Vol. 7. n. 5, pp. 2139-2148
Abstract - OPEN-SME introduces an Open Software Component Reuse, which collectively
provides two processes and three tools.
COMPARE (Component Repository and Search Engine) is one of the three
tools, the one that allows SME software re-users to search and discover the
assets (software artefacts, technical documents, test suites, metamodels)
produced by the Domain Engineering Process. COMPARE features an advanced search
engine that can be used for searching among the components, according to
specific needs and selection criteria. Also, COMPARE supports the effective
communication of structured information flows between the software re-users
(asset consumers) and the reuse engineers (asset producers). These information
flows allow re-users to place orders/requests and provide their feedback to the
reuse engineers.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Open Source Software, Component Reuse.
Requirements Engineering Process Assessment:
by
Anurag Shrivastava, S. P. Tripahi
Vol. 7. n. 5, pp. 2149-2158
Abstract - Requirements Engineering (RE) is a key discipline in software development
and several methods are available to help assess and improve RE processes. In
this paper we describe improvement of, the processes of, discovering,
understanding, negotiating, describing, and validating and managing system
requirements. Currently software companies in lucknow city in india has been
facing problems of late delivery and over budget. They do not do what users
really want and they are often never used to their full effectiveness by the
people who paid for them. Therefore, a case study is done, our aim was to
efficiently evaluate the requirements engineering process maturity levels of
these software companies, we present initial maturity assessment results,
describe how process improvements were selected and present data on how RE
process maturity changed after theses improvements were introduced. All
companies reported business benefits and satisfaction with their participation.
New lessons are also learned to improve the assessment model by suggestion of
designing tool support.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Requirements Engineering, Maturity Level, Good Practice, Process
Improvement.
Exploring the Influence of Partnership Quality Factors
towards the
by S.
Arun Kumar, Arun Kumar Thangavelu
Vol. 7. n. 5, pp. 2159-2172
Abstract - Context: Offshore and on-site teams’ partnership quality has been key
predictors to achieve high quality software and reduce cost in the case of
Global Software Development (GSD) projects from the software service provider
perspective in India.
Aim: Our research
aim is to build a unified and theoretically grounded research model which
specifies the different dimensions of offshore and onsite teams partnership
quality and underlying the influencing factors towards the outcome of GSD
projects.
Objective:
Specifically, our study focused on the measurement of perceived partnership
quality factors (knowledge sharing, trust, commitment and requirements flow
down) between offshore and on-site teams rather than gap analysis, as earlier
research has indicated the partnership quality factors influence the outcome of
GSD projects.
Method: The purpose
of this study is to specify the working relationship between offshore and
on-site teams in the outsourcing on-going stage based on Social Exchange Theory
(SET) perspective. To explore the influence of partnership quality factors
towards the outcome of GSD projects from the service provider perspective into
three dimensions: schedule, cost improvement, and service quality.
This study employs survey research methods to empirically validate the
research model based on the data collected from 338 software professionals for
their view of GSD projects in India.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
GSD
Project Outcome, Indian Organizations, Offshore Teams, On-Site Teams,
Partnership Quality, Social Exchange Theory.
Proposal of Simulation-Based Management
by
Vladimír Bureš, Pavel Čech, Tereza Otčenášková
Vol. 7. n. 5, pp. 2173-2178
Abstract - Management of biological or chemical incidents represents a challenging
and demanding issue since it consists of several complex activities and
important decisions. In case of accidents in agricultural or industrial mills or
plants these decisions have to be made by personnel who are usually not
primarily trained for such situations. From the technological perspective,
various approaches or principles have been already applied and intended for
computer-based support of biological or chemical incidents management. However,
few of them incorporate principles of smart solutions which can make decisions
even more precise and appropriate.
This paper presents
model utilizable for the management of biological or chemical incidents created
in the multi-agent NetLogo environment and outlines possibilities of its
extension by smart solution elements. Furthermore, together with the description
of the simulation model, its parameterization is explained, and areas for
further research are depicted.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Biological Incident, Chemical Incident, Decision Support, Multi-agent
Technologies, Simulation, Smart Solution.
A New Multi Agent Cognitive Network Model
by
Shailendra Tahilyani, Manuj Darbari, Praveen Kumar Shukla
Vol. 7. n. 5, pp. 2179-2182
Abstract - The traffic congestion in urban cities is a critical problem due to
limited road infrastructure and exponentially increasing number of vehicles. Due
to these limitations, much technological advancements have been carried out.
This paper is an effort on this direction. A new lane-by-pass approach has been
investigated to deal with the problem of traffic congestion. Cognitive Radio
Systems are utilized for traffic information flow in the road network and
multi-agent systems are used for decision making in the whole system for route
diversion.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Multi Agent Systems, Cognitive Radio Network, Lane –By – Pass Approach.
M-Learning: User Expectations and Acceptance Study
by
Sajid M. Sheikh, Shedden Masupe
Vol. 7. n. 5, pp. 2183-2189
Abstract - mLearning is the ability to access educational resources, tools and
materials at anytime from anywhere, using a mobile device. Currently the
University of Botswana offers learning through classrooms and e-learning
applications such as blackboard. The University has not yet started using
mobile-learning as part of the educational system. This paper outlines the
results of a survey carried at the University of Botswana, Faculty of
Engineering and Technology, on the user expectations and acceptance of
M-learning. This paper also proposes an adaptation mLearning framework for the
University that can make an m-learning education system as expectations from the
users. The results show that majority of the students are unaware of what
m-learning is. Most students own and use mobile devices daily.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
M-Learning, E-Learning, User Acceptance, Wireless Technology, Interactive
Whiteboard.
Integrated Anycast Routing Protocol for Wireless Networks:
by
Guofeng Yan, Shuhong Chen, Yuxing Peng，Peng Xiao
Vol. 7. n. 5, pp. 2190-2194
Abstract - In the paper, we discuss the design and implementation of integrated
anycast routing protocol (IARP) under Linux. The process of IARP, the format of
IARP message, the dynamic updating of MAP table information and anycast data
flow information are presented under Linux kernel by modifying IP protocol
stack. And then, anycast group management system is introduced. Furthermore, the
implementation of IARP is used in a real soft router. Finally, we show the
performance of IARP where IARP communication is used to distribute load among a
set of servers through a study case.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Anycast, MAP Table, Data Flow, Network Load.
A New Optimized Approach for Artificial Neural Networks
Training
by
Aghil Ahmadi, Behbood Mashoufi
Vol. 7. n. 5, pp. 2195-2199
Abstract - The artificial neural networks (ANN) have been used in several
applications such as: pattern recognition, robot control and classification
problems. Training stage is very important and selection of weights and
architecture of a neural network suitable to solve a given problem is one of the
most important challenges in the field of neural networks. In training process
we are going to define optimum number of hidden layers and the proper values of
the weights. The application of Genetic algorithms to neural network
optimization has produced an active field of research (GANN). This paper
discusses about the neural networks structure learning and different ways can be
applied to that and finally proposes an innovative and effective optimization
method in this field.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Artificial Neural Network (ANN), Genetic Algorithms, Optimization, Parallel
Processing, MLP.
Systematic Literature Review in Open Source
by Abu
Bakar Md. Sultan, Abubakar Diwani Bakar, Hazura Zulzalil, Jamilah Din
Vol. 7. n. 5, pp. 2200-2205
Abstract - Background: Now days Open Source Software maintainability prediction has
been the major issue due to the complexity of the technology whereby vendors and
clients are two different groups with unknown profile.
Aims: Performing
Systematic Literature Review of Open Source Software in term of maintainability.
Method: We employed the Standard Systematic Literature Review by implementing
the random search for four (4) online digital libraries for journals and
Conference proceedings. Results: 14 studies were uniquely approved to provide
evidence on the approaches used to measure maintainability of open source
software, results show that most researchers used MI and other like Linux
project used common coupling.
Conclusion: The
study discussed SLR on maintainability and it identified that until now there
are no standard approaches that can be used to measure the maintainability of
open source software.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Open Source Software, Maintainability Index, Common Coupling.
A Boolean Mathematical Model for Optimization of Truncated
by J.
Selvakumar, Vidhyacharan Bhaskar
Vol. 7. n. 5, pp. 2206-2213
Abstract - This paper proposes a novel mathematical model for the multiplier
architecture based on multiplexers that aim for a Boolean optimized truncated
product and power. The design of efficient truncated and low power multiplier is
essential for VLSI implementation of Digital Signal and Image Processing
techniques. Various traditional efficient array and parallel multipliers have
been used and many of them boost the speed of the device at the cost of large
VLSI area and high power dissipation. A new mathematical optimization modeling
approach based on Boolean optimization for multiplexer based multiplier has been
proposed in this paper by eliminating the redundant product term in stage-2 of
multiplexer based architecture. The proposed optimized Multiplexer based
Multiplier was implemented in HSPICE 1.0 environment in TSMC 180 nm, 90 nm and
45 nm library technology files. The results obtained are tabulated in the
Simulation results section, and it is observed that the proposed Transistor
Optimized Multiplexer based multiplier consumes approximately 35% reduction of
dynamic power by avoiding unwanted dynamic switching transients that exist in
the multiplier. It also reduces the
area count in terms of number of transistors by 37% when compared to the
existing multiplexer based multiplier, the conventional Braun Array Multiplier,
and the conventional multiplexer based multiplier for 8 x 8 bit multiplication
operation.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Truncated Multiplexer Based Multiplier, Optimized Multiplexer Based
Multipliers, Braun Array Multiplier, Dynamic Power Reduction, Partial Production
Generation, Boolean Optimization Term.
Energy Efficiency Time Synchronization
by
Ying Guo, Wen Si
Vol. 7. n. 5, pp. 2214-2219
Abstract - Time synchronization is an important issue to Underwater Sensor Networks
(UWSN). Usually, UWSN has very high requirement in energy consume to prolong
network lifetime. Existing time synchronization approaches take too much
attention on synchronization accuracy, and take traffic energy out of
consideration, which makes them not suitable to actual application. In this
paper, we propose a simple time synchronization scheme, called “Sim-Sync”, which
forces on reducing synchronization energy cost for underwater acoustic sensor
networks. It aims at reducing message exchange cost in the synchronization
process, and makes use of re-synchronization mechanism to ensure the acceptable
precision. Sim-Sync balances the tradeoff between energy saving and
synchronization accuracy. We show through simulations that Sim-Sync achieves
minimal energy cost time synchronization with allowable precision.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Time Synchronization, Re-Synchronization Mechanism, Energy Efficiency,
Underwater Sensor Networks.
An Improved Hierarchical Data Aggregation Mechanism
by
Haibo Pu, Lijia Xu
Vol. 7. n. 5, pp. 2220-2225
Abstract - The wireless sensor networks (WSNs) are formed by a large number of
sensor nodes working together to provide a specific duty. However, the low
energy capacity assigned to each node prompts users to look at an important
design challenge such as lifetime maximization. In order to decrease energy
consumption and so, increase network’s lifetime, volume of transmitted data
should be decreased. A solution, which is suggested, is data aggregation. In
aggregation mechanisms, the nodes aggregate received data and send aggregated
data instead of raw data to sink, so, the volume of the transmitted data is
decreased. As the data aggregation technology is effective to reduce the energy
consumed by a WSN and extend its survival cycle, this article is aimed at an
improved hierarchical data aggregation mechanism that improves in respect of
optimal number of cluster heads and cluster head selection threshold etc., as
well as adopts different aggregation strategies on different levels on the
precondition of clustering. It is revealed by the Matlab simulation experiment
that such mechanism eclipses the LEACH protocol in terms of performance since it
is able to cut down network energy consumption and prolong network survival
cycle in an effective approach.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Wireless Sensor Network, Data Aggregation, Hierarchization, Matlab
Simulation.
Study on Knowledge Base System of Extreme Flood Magnitude
by
Feifei Tao, Huimin Wang, Jinle Kang, Lei Qiu
Vol. 7. n. 5, pp. 2226-2230
Abstract - On basis of the requirement analysis for knowledge reasoning of extreme
flood magnitude, the paper constructs the strcture of the knowledge base system
and mainly designs the reasoning engine based on data driven reasoning for
extreme flood magnitude reasoning. The knowledge base system, constructed by the
authors, can help to judge extreme flood magnitude effectively and support to
predict the development trend of extreme flood. As for development of knowledge
base system of extreme flood magnitude, the paper may be used as a reference.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Extreme Flood Magnitude, Knowledge Base System, Data Driven Reasoning.
Mobile Location-Aware Personalized Recommendation with
by
Juebo Wu, Zongling Wu
Vol. 7. n. 5, pp. 2231-2238
Abstract - The high improvement of mobile communication technology and the reduction
in cost of hardware have accelerated the wide popularity of mobile application,
in which the personalized recommendation is playing a more and more important
role in users’ preferences and needs. This paper presents a novel approach of
location-aware personalized recommendation by clustering-based collaborative
filtering, providing recommendation list for users according to their current
positions from mobile devices. First, users are partitioned into different
clusters by k-means algorithm, in order to speed up the process for searching
the nearest neighbors. Second, the location-aware factor is computed according
to the user’s acceptable distance of items, which is changing over time. Third,
the recommendation list is produced by combining location-aware factor with
clustering-based collaborative filtering. An application system of hotel
recommendation is developed to illustrate and test the feasibility and
effectiveness.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Recommendation System, Location-Aware, Mobile Application, Clustering.
Analysis of WAS Interference to
by
Omer A. Hamadnaallah, Yasser S. Siddig, Yassir A. Ibrahim,
Rashid A. Saeed, Raed A. Alsaqour
Vol. 7. n. 5, pp. 2239-2244
Abstract - This paper presentsthe interference between Fixed Satellite Service (FSS)
and Wireless Access Service (WAS) in the C-band for eastern Sudan environment.We
analyzed the interference between FSS and WASEastern Sudan
Environmentandcalculate the exclusion distances for the desired stations to
ensure that the interference level does not exceed a certain level.
Moreover, we
calculate the total attenuations that may face these stations. Simulation is
conductedby using ITU Spectrum Management System forDeveloping Countries
(SMS4DC) software with reference to ITU recommendations to estimate the optimum
location for FSS ground station without causing harmful interference to WAS
stations.
Our calculated
simulation results gave an optimal interference exclusion zone when compared
with ITU recommendation.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Wireless Access Services, Fixed Satellite Service, C-band, Interference,
Attenuation.
MAC Layer Delay Analysis for
by
Liying Xie
Vol. 7. n. 5, pp. 2245-2253
Abstract - The paper proposes an analytic model to evaluate delay for traffic with
different priorities in an unsaturated IEEE 802.11e Wireless Local Area Network.
By modeling each station as a discrete time G/G/1 queue, we derive expressions
of end-to-end delay.
Different from
other analytic models, which assume that each station has the same traffic load,
our model can be used to analyze asymmetry networks where different stations
have different priority traffics.
Simulation studies
show that the proposed model matches well with simulation results.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Wireless Local Area Network, IEEE 802.11e, Delay, Asymmetry Networks,
Priority.
Reducing the Effect of Mobility on AODV
by
Bisengar Ahmed, Ouadoudi Zytoune, Rziza Mohamed,
Ouadou Mohamed, Aboutajdine Driss
Vol. 7. n. 5, pp. 2254-2259
Abstract - A mobile ad-hoc network (MANET) is a self-configuring multi hop network
of mobile hosts connected by wireless links without any
stand-alone infrastructure. Since a destination node might be out of
transmission range of a source node, routing techniques are needed to find a
path so as to forward the packets correctly between the source and the
destination nodes. Due to the network topology changes, routing is critical in
MANETs. AODV requires a new route discovery process whenever a link breaks, such
frequent route discoveries cause a high routing overhead and increase end-to-end
delay. In this paper, we propose a set of protocols based on AODV for
integrating relative velocity, distance, and hop count into the path cost
calculation for MANETs. It is confirmed that this improvement has higher packet
delivery ratio and less end-to-end delay than the AODV protocol.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
On Demand Distance Vector Routing, Mobile Ad Hoc Networks, Link State,
Relative Velocity, Transmission Range.
Recognition and Classification System of
Cardiac Arrhythmia Using ANFIS
by S.
Sumathi, M. Y. Sanavullah
Vol. 7. n. 5, pp. 2260-2265
Abstract - This paper presents an intellectual diagnosis system using hybrid
approach of Adaptive Neuro-Fuzzy Inference System (ANFIS) model for
classification of electrocardiogram (ECG) signals. This method based on using
cubic spline wavelet-transform for analyzing the ECG signals and extracting the
parameters related to dangerous cardiac arrhythmia. These parameters were used
as input of ANFIS classifier, four major types of ECG signals they are Normal
Sinus Rhythm (NSR), Pre-Ventricular Contraction (PVC), Atrial Fibrillation (AF),
Ventricular Fibrillation (VF), and Ventricular FLUtter (VFLU). The inclusion of
ANFIS in the complex investigating algorithms yields very interesting
recognition and classification capabilities across a broad spectrum of
biomedical problem domains. The performance of the ANFIS model was evaluated in
terms of training performance and classification accuracies. The results
emphasize that the proposed ANFIS model illustrate potential advantage in
classifying the ECG signals. A testing classification accuracy of 96.52% is
achieved.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
ECG, Wavelet Transform, Cardiac Arrhythmia, ANFIS.
Evaluation of Anesthesia Depth via EEG Using Wavelet Energy
by
Majid Mardani, Alireza Mehri Dehnavi, Hossein Pourghassem
Vol. 7. n. 5, pp. 2266-2270
Abstract - During surgical operation the depth of anesthesia is a major issue.
Because the effect of anesthetic drugs is on central nervous system (NCS), we
can estimate it by using brain signals received from anesthetized patients and
extracting their suitable features. EEG signals are dynamic and non-static.
Wavelet transform,
because of its unique features can be very useful in time-frequency analyze and
it can extract suitable features. In this research, a new method is represented
to estimate depth of anesthesia using wavelet transform and neural networks.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
EEG Signal, Wavelet Energy, Neural Network, DOA (Depth Of Anesthesia).
Geometric Transformation Algorithms for Implant
Manipulation
by A.
Shapi’i, R. Sulaiman, N. F. Elias
Vol. 7. n. 5, pp. 2271-2276
Abstract - The use of geometric transformation is crucial in the field of medicine
because it can assist surgeons in carrying out pre-surgery processes
efficiently. This study aims to produce techniques and algorithms that can be
used to implement implant transformation processes, such as translations,
rotations and reflections, on medical images. The main objective of this paper
is to show the hip joint implant transformation algorithm used in x-ray images
of hip joint replacement patients. The computerised hip joint replacement
process developed by a group of researchers from the Industrial Computing
Research Group (ICOMP), Faculty of Technology and Information Science,
Universiti Kebangsaan Malaysia shows the implant transformation process being
performed. Three geometric transformation algorithms (translations, rotation and
reflection) are shown in this paper. The example demonstrates that by using the
suggested transformation algorithm, the position of the hip joint implant can be
manipulated to obtain the optimal position on the x-ray images of patients.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Transformation, Geometric, Implant, Algorithm, Manipulation.
Wireless-Based Information Security Scheme for
Reconfigurable FPGA IP Cores
by
Laavanya Sridhar, V. Lakshmi Prabha
Vol. 7. n. 5, pp. 2277-2284
Abstract - In recent years the growing problem of breaches in information security
of reconfigurable Field Programmable Gate Array (FPGA) Intellectual Property
(IP) cores has created a demand for developing an effective Intellectual
Property Protection (IPP) technique for securing the FPGA IP cores. With the
increase in use of reconfigurable FPGAs in production designs and in
implementation of system on FPGA applications, protecting IP preserves
competitive advantage and protects investment. In this paper, a novel wireless
scheme based on Radio Frequency Identification (RFID) technology is proposed for
securing the information contained in the FPGA IP cores. The existing FPGA core
IPP techniques are basically IP core infringement detection techniques with
limited protection capability and they do not prevent the unauthorized usage of
IP cores. The proposed work is
distinct from other existing works, as it is an IP infringement preventive
scheme that employs wireless authentication and remote activation techniques to
provide access control protection for IP cores. The proposed scheme also
overcomes the secure secret decryption key storage problem associated with
traditional encryption-based IPP techniques that are widely used for IPP of
reconfigurable FPGA IP cores. The results derived from the testing of hardware
prototype used for the evaluation of the proposed scheme are quite encouraging.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Reconfigurable Field Programmable Gate Arrays (FPGAs), Intellectual Property
Protection (IPP), Radio Frequency Identification (RFID), Authentication
Protection, Remote Activation, Decryption Key Transmission.
International Review on Computers and Software - Papers- Part B
An Energy-Efficient Real-time Routing Protocol for Wireless Sensor
Networks
by Pengliu Tan, Mingshan Ju
Vol. 7. n. 5, pp. 2285-2289
Abstract - To meet the real-time QoS (Quality of Service) requirements in the applications of wireless sensor networks, an energy-efficient real-time routing protocol is proposed, in which localization and clustering is integrated. The cluster is determined by using location information of nodes. Cluster head is elected by utilizing a hybrid method based on the anchor nodes, barycenter and residual energy, so as to balance the energy consumption overall the network. In addition, a dynamic routing mechanism is applied to dynamically adjust the transmission rate of data packets, in order to meet the real-time QoS. Simulation results show that the proposed protocol can not only effectively balance the energy consumption to extend the network lifetime but also lower the delay to meet some real-time requirements
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Real-time Routing, Routing Protocol, Quality of Service, Wireless Sensor
Networks.
An Asymmetric Encryption Algorithm for Wireless Sensor Networks Based on
Elliptic Curve Cryptosystem
by Chuiwei Lu, Hao Xiong, Zhiyuan Liu
Vol. 7. n. 5, pp. 2290-2297
Abstract - The elliptic curve cryptosystem (ECC) have many excellent characteristics, such as short key, low cost, rapid encryption speed, high security level and etc. Now, there is a tendency for ECC to replace other asymmetric cryptosystems such as RSA, DSS. Based on the basic principles of the elliptic curve cryptosystem and the features of WSNs, the paper propose a novel asymmetric encryption algorithm, named WSNs-ECC, which is used for vital-data encryption and keys management in resource-restrained WSNs. The experiments in wireless sensors demonstrate: on the same security level, the average encryption speed of WSNs-ECC algorithm is five times faster than the RSA algorithm, but its average occupancy rates of CPU and RAM are respectively equal to 17% and 11% of RSA algorithm. Comparing to RSA, WSNs-ECC can save more power, prolong the survival time, and enhance the quality of real-time service for resource-restrained WSNs
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Elliptic Curve Cryptosystem, Discrete Algorithm, Wireless Sensor
Network, Public-key Encryption.
Recognition Method for Key Knowledge Subjects in Knowledge Network
by Yuanwei Du, Kan Wang, Wanchun Duan
Vol. 7. n. 5, pp. 2298-2307
Abstract
- In order to recognize the key knowledge subjects from knowledge
network in large scale, an extracting method with dynamic interaction
idea is constructed to gradually attain the subjective evidence
information from organizational managers' knowledge, experiences and
intuition. Then a dynamic knowledge matrix is utilized to suggest a
deduction theorem that can effectively convert basic probability
assignment (BPA) functions from subjective deduction information. After
that, the Pignistic probability and the ABC analytical method are
employed to illustrate the specific process of recognizing key knowledge
subjects in the knowledge network. Finally a case simulation analysis is
utilized to testify the validity and the feasibility of the proposed
method
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Knowledge Network, Knowledge Subject, Dynamic Knowledge Matrix, Evidence
Theory, Recognition Method.
Optimization Models for Schedule Risk Control of Virtual Enterprise
by Neng Wang, Lin Jin
Vol. 7. n. 5, pp. 2308-2313
Abstract
- Virtual enterprises not only help enterprises enhance competitiveness,
but also make them face increased risk. From the perspectives of
resources allocation and coordination, the author divides task of
virtual enterprise into several units, and proposes an algorithm for
transfer of Schedule risk. Risk bottleneck node is identified based on
risk assessment, and local and global optimization models are
established based resources and collaborative risk control, finally, the
effectiveness of models is verified with cases.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Virtual Enterprise, Risk Transfer, Risk Identification, Resources
Coordination, Optimization Model.
Sensing Connectivity Coverage and Robustness of WSN with Random
Distribution of Nodes
by Genjian Yu, Kunpeng Wen, Huibin Feng
Vol. 7. n. 5, pp. 2314-2320
Abstract - In this paper, we aim at the point which the sensing coverage for target monitor tracking and the connectivity coverage for information transmitting of WSN claim to robust, anti-fragility. We firstly present and prove a profound sensing radius of nodes; this radius can make each objective point of monitor area fall under the sensing range of at least one sensor node by the probability of tending to 1 at any time. Secondly, we analyze the problem of connectivity coverage of WSN, also present and prove a probability inequality of active nodes, which can be of the judgment scale and the critical threshold that the connectivity of WSN not to be destroyed. Thirdly, under the premise which the necessity of connectivity of WSN is satisfied, we present an algorithm that provided with robust connectivity of big probability, and doing the simulation analysis
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Wireless Sensor Networks, Sensing Coverage, Connectivity Coverage,
Random Distribution.
An Improved
Routing Algorithm for ZigBee Networks
by Wangang Wang, Yong Peng
Vol. 7. n. 5, pp. 2321-2325
Abstract - IAiming at the routing algorithm shortage of ZigBee Networks which is based on energy balance, critical residual energy value Ewarning of ZigBee nodes is done dynamic regulation during the process of ZigBee network operating under circumstance of comprehensive consideration of node residual energy and routing depth. In the process of transmitting data, nodes whose residual energy is inferior to critical residual energy value Ewarning are bypassed as much as possible, which is to protect the nodes keeping low residual energy from losing effectiveness because of continuing energy dissipation and keep network partitioning from happening. Simulation result indicates that the improved algorithm may balance the networks energy consumption and lengthen the life cycle of ZigBee networks
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
ZigBee, AODVjr, Cluster-Tree, Routing Algorithm, Node Energy.
Acoustic Study on Perception of Vowels in Standard Chinese by Uyghur
Students
by Yi Yang, Huaying Chen
Vol. 7. n. 5, pp. 2326-2332
Abstract - The present acoustic study aims to explore the role of the first language phonetic categories in the second language learning by examining Uyghur speakers’ perception of vowels in Standard Chinese. The perception experiment is computer controlled with the software E-Prime. 30 Uyghur university students as well as 30 Han Chinese students participated in the experiment. The findings show that although the Uyghur students have learned Standard Chinese for many years, they are still significantly poorer and slower in perceiving the vowels than the Han Chinese students; and the Uyghur students are better and quicker in perceiving some of the Chinese vowels but poorer and slower in perceiving some others. It can be concluded that the first language phonological system plays an important part in the second language perception
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Acoustic Study, Vowel Perception, Standard Chinese, Uyghur.
A Transformation Approach of Business Process Model Based on Rich
Semantic
by Jin Li, Dechen Zhan, Lanshun Nie
Vol. 7. n. 5, pp. 2333-2342
Abstract
- A large number of enterprise business process models have many typical
business patterns with rich semantics. These rich semantic business
patterns can simplify transformation definition, raise transformation
efficiency, and improve transformation quality. However, current model
transformation methods do not focus on these rich semantic patterns.
Therefore, we propose a transformation approach based on rich semantic
patterns for the transformation of business process models. Firstly, we
use rough set theory to (semi-) automatically discover and extract rich
semantic business patterns in business process models; secondly, we make
these rich semantic business patterns as transformation units to
construct transformation rules; finally we implement model
transformation using the transformation patterns. We provide a
corresponding algorithm to detect rich semantic transformation patterns
and construct transformation rules. We also provide three measurement
indicators of transformation rules to support selecting proper rules
from many rules which meet transformation requirement. Four kinds of
experiments are given for the validation of the proposed approach.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Business Process Model, Model Transformation, Rich Semantic, Rough Set
Dynamics Behavior Analysis of Parallel Robot with Clearance Joints
by Xiulong Chen, Shibo Shen, Gongping Lu
Vol. 7. n. 5, pp. 2343-2352
Abstract - A novel 4-UPS-UPU spatial 5-Degree of freedom parallel robot was introduced. The stationary platform of the parallel robot is connected with the moving platform by the same four UPS (universal joints-prismatic pairs-spherical joints) driving limbs and a UPU (universal joints-prismatic pairs- universal joints) driving limb. In order to grasp the dynamic characteristics of 4-UPS-UPU spatial parallel robot with multiple clearance joints, and provide the important theoretical base of the optimization design and the vibration control for 4-UPS-UPU parallel robot, the dynamics modeling and analysis for the parallel robot with multiple clearances were realized. The virtual prototype of 4-UPS-UPU parallel robot with multiple clearances was constructed by Adams while the driving limbs, the moving platform and stationary platform of parallel robot were treated as rigid bodies. Based on the virtual prototype with clearances, the dynamic behaviors, including kinematics output response and contact force of joints element, were obtained. The simulation results show that the dynamic model with clearances proposed can indicate the dynamic characteristics of parallel robot, the joints clearance and friction are demonstrated to have strong impact on system kinematics and dynamics
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Spatial Parallel Robot, Joint Clearance, Dynamic Behavior, Virtual
Prototype.
Online Customer Experience and its Determinants in e-Retailing
by Bo Chen, Yongsheng Jin
Vol. 7. n. 5, pp. 2353-2359
Abstract - The purpose of this article is to investigate whether online shopping environment, product value, service quality, and consumer goals (i.e., utilitarian versus hedonic oriented goals) would influence online customer experience and to explore how they impact online customer experience in an e-retailing context. A survey-based quantitative approach is used to examine the effects of online shopping environment, product value, and service quality on online customer experience, as well as the moderating role of consumer goals. With the data collected in China, a multiple regression analysis is conducted to test the hypotheses. The findings suggest that online shopping environment, product value, and service quality would positively affect online customer experience. Furthermore, it is found that consumer goals moderate the influence of online shopping environment and service quality on customer experience, but it did not support that consumer goals moderated the impact of product value on online customer experience. The results give guidance to e-retailers that which variables they should pay attention to and how to effectively use the factors of online customer experience to develop strategies
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: : Online Customer Experience, Online Shopping
Environment, Product Value, Service Quality, Consumer Goals.
Promote Cooperation to Forward Packets in Multi-Hop Wireless Networks
by Kun Yu, Sanyue Bu
Vol. 7. n. 5, pp. 2360-2366
Abstract - The availability of multi-hop network depend on the cooperation among nodes. Reputation is a typical incentive scheme to enforce the peers in the network to relay packets of others. But the scheme suffers from a regular problem called second-ordered free-riding which can be applied by selfish peers to exploit others by avoid punishing the cheaters. Obviously, if most of the nodes play this strategy, the cheater will free ride without any cost and become the winner in the packet forwarding game. So only the reputation model which can distinguish malicious behaviors from justicial punishments is incentive compatible and be used in P2P punishment structures. In the paper the interaction is regarded in an evolutional game theory model and the system transformation is described by dynamical equations. It is deduced that first-ordered reputation cannot guarantee the cooperation. A continuous second-ordered reputation is proposed and two service rules are analyzed. It is deployed in an Ad hoc network then. The simulation shows the efficiency of the scheme with respect to availability in the presence of adversary
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Multi-Hop Wireless Network, Reputation Mechanism,
Evolutional Game Model.
Submarine Hydraulic Rudder Control System Based on Fuzzy Logic Algorithm
by Huiyuan Liu, Lihua Liang, Lanyong Zhang
Vol. 7. n. 5, pp. 2367-2371
Abstract - According to the composition of the submarine hydraulic rudder system, the paper analyzes the different advantages and disadvantages of the rudder type, steering agencies and the hydraulic rudder control system as well as the scope of application. Some system steering bodies are modeled such as pump control servo, variable pump displacement control system, steering control system and rudder hydrodynamic interference. The intelligent controller is designed based on the mathematical model of the system, which is estimated by using system identification technique. Fuzzy logic hydraulic servo parameter adjustment method is presented, and simulation analysis of the variable pump displacement control system and steering system is introduced. As the system parameters have uncertainties and load disturbance, the performance impact of parameter variation and load disturbance simulation is displayed and analyzed
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Rudder Control, Fuzzy Logic Algorithm, Submarine.
Intelligent Measurement System Based on Wavelet Analysis for
Electromagnetic Interference Measurement
by Lanyong Zhang, Fanming Liu, Bing Li
Vol. 7. n. 5, pp. 2372-2377
Abstract
- According to the problem that the speed of electromagnetic
Interference (EMI) manual system is slow, an intelligent measurement
system is designed for EMI measurement based on wavelet analysis and
LabVIEW. With the characteristic of noise given, it can be suppressed by
threshold function in wavelet-domain, and the pure electromagnetic
radiation can be obtained. It introduces the constituting of system,
testing principle, software structure, and solves the hard problems and
key techniques such as hardware’s controlling, algorithm’s fast
convergence and compatibility of software. Because the signal includes
the ambient noise, the wavelet analysis is applied to filter the noise
and gain the real conducted electromagnetic interference. Comparing with
the other traditional apparatuses and the manual testing, the system
improves the testing efficiency and has good extensibility.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Electromagnetic Interference, LabVIEW, Intelligent
Measurement System, Wavelet Analysis.
A Next-Generation Broadband Multi-mode Intelligent Gateway for a Smart Home
System
by
Zhixiao Wang, Kewang Zhang, Wenyao Yan, Youssef El Hajj Shehadeh, Ang
Gao
Vol. 7. n. 5, pp. 2378-2383
Abstract
- Intelligent gateways that interconnect home networks, pubic networks,
and intelligent household devices play a critical role in smart home
systems. However, the existing gateways could hardly be adapted to
emerging multiple access methods and the multiple services’ requirements
for future smart home environments. This paper introduces the work in
progress in constructing a stable and efficient Next-generation
Broadband Multi-mode Intelligent Gateway (NBMIG) which supports multiple
access methods, multiple services, IPv6, security, QoS and remotely web
management. It is mainly based on an IXP425 network processor and a
Linux kernel. We first present the hardware and software architectures
of NBMIG, and then we introduce their in-detailed implementations. In
the meantime, a smart home system is proposed based on NBMIG and
household appliances equipped with wireless and ZigBee adapters.
Finally, the effectiveness and feasibility of NBMIG is verified through
testing..
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Intelligent Home Gateway, Multi-Mode, Multiple
Services, Smart Home System.
Resource Allocation Optimization of Workflow with Multi-instance and
Multi-resource Based on Queuing Theory
by Mingshun Yang, Zhoupeng Han, Xinqin Gao, Yong Liu, Shaobo Du
Vol. 7. n. 5, pp. 2384-2393
Abstract
- Resource allocation of workflow has a direct impact on the average
execution time of process instances and the cost of an enterprise.
Workflow resource optimization can effectively optimize the resource
allocation amount to decrease the average running time of workflow
instance and increase resource utilization rate and workflow’s running
efficiency. In this paper, time performance of workflow multi instances
running are analyzed based on Queuing Theory, amount relationship
between resource allocation amount and average running time of workflow
instance is studied ,then the mathematical model of resource
optimization under multi-activity – multi-resource allocation style with
constraints of resource cost and amount is built and the model is solved
with simulated annealing algorithm to obtained the optimal resource
allocation scheme to realize resource optimization in workflow running
process. An example of furniture enterprise is illustrated to verify the
presented method.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Workflow Resource Allocation, Queuing Theory,
Multi-Resource, Multi-Instance.
Multi-Scale Segmentation for High Resolution Remote Sensing Imagery Using
Multiphase Level Set Framework
by Yang Yun, Guangchun Fu
Vol. 7. n. 5, pp. 2394-2400
Abstract
- For the difficulty of analyzing remotely sensed imagery with high
spatial resolution from Quickbird, Geoeye-1 satellites etc., the paper
proposes a multi-scale segmentation approach. Specifically, an image can
be initially over-segmented into unknown number of homogeneous regions
at the finest scale after image clustering is performed using Gaussian
multiphase level set model proposed in our previous work. Then those
selected segments, with smaller area (as a measure of segmentation
scale) than a given threshold, are merged to their neighbors according
to a similarity principle, and class labels of the merged segments are
updated at the same time. Thus, a partition of the given image at a
coarser scale can be achieved. Furthermore, image segmentations at
different spatial scales can be performed if scale threshold T is
changed. Experiments on Quickbird multispectral imagery covering Wuhan
city and quantitative comparisons with mean shift, multi-resolution
method adopted in eCognition software are carried. Conclusions can be
drawn that our proposed method shows better precision and an effect
approximated to human vision in multi-scale segmentation for high
resolution remotely sensed imagery. It can be viewed as a candidate of
multi-scale image segmentation methods.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Multiphase Level Set, Multi-Scale Segmentation,
High Resolution Remotely Sensed Imagery.
Clustering Identical Sampling Algorithm of Mobile P2P Networks From Real-time
Data
by Yunxia Pei
Vol. 7. n. 5, pp. 2401-2407
Abstract - With the wide application of mobile P2P technology in the field of E-commerce, distributed mobile P2P network data clustering increasingly urgent demand, however, due to the large-scale and decentralized mobile P2P network, this gathering operation to achieve quite challenging, and in many applications, the data in the mobile P2P network is often change over time, which further increases the difficulty of operation of the clustered existing mobile P2P network clustering algorithm assumes that the network data is a non-time varying, if direct application in the presence of varying data of the mobile P2P network, will be because their clustering too long and cause the clustering process of data has changed. proposed a mobile P2P network based on the balanced sampling time becomes the data approachable clustering algorithm, theoretical analysis and experimental results show that, change the data in the processing of the clustering algorithm is superior to existing algorithms, can be effectively applied to the mobile P2P network in the presence of real-time data
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Real-Time Data, Identical Sampling, Clustering,
Mobile P2P Network.
Efficient and Robust Hash Table for Connection Management in High-speed Networks
by Jinyuan Zhao, Bing Xiong, Zhenhui Li
Vol. 7. n. 5, pp. 2408-2417
Abstract - The continual growth of network traffic rates has driven an increasing demand that hash table for network connection management must perform at fast speeds for real-time packet processing. This paper proposes an efficient and robust hash table, PRH-MTF (Pseudo Random Hashing-Move To Front, to maintain large numbers of simultaneous connections in high-speed networks. A hash function PRH is designed by computing connection identifier with selected operators in consideration of algorithmic complexity attacks. To resolve hash collision efficiently, we apply the MTF heuristic to improve the classical chaining resolution in virtue of network traffic locality. The proposed PRH-MTF hash table is employed to implement connection management, and its average search length is analyzed with packet train model as packet arrival pattern. Finally, we evaluate the performance of the PRH-MTF hash table under diverse conditions with real high-speed network traffic. Experimental results indicate that the PRH-MTF hash table performs better than the traditional IPX-SC one in terms of efficiency and robustness
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: High-Speed Networks, Connection Management, Hash
Table, Pseudo-Random Hashing, Move-to-Front Heuristic.
Independent Motion Region Detection of Freely Moving Cameras in 3D Scenes
by Dong Zhang, Ping Li
Vol. 7. n. 5, pp. 2418-2424
Abstract - This paper presents a method to detect independent motion regions in image sequences captured by freely moving cameras in 3-D scenes. The main contribution is that it proposes a sparse background tracking scheme to get the sparse background/foreground models consistently. It uses 3D motion segmentation methods to segment the feature point trajectories of consecutive frames into different motions and updates the sparse background/foreground models consecutively by examine the matching rates between previous models and the current segmented feature point trajectory sets. This process enables the method to work in 3D scenes which could be totally changed through the image sequence, while most other methods could only work with pre-modeled scenes or with cameras that move in a limited range. The proposed method was tested on various challenging image sequences captured by freely moving cameras and results show that it is very effective and robust.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Motion Detection, Background Subtraction, 3D Motion
Segmentation, Dynamical Vision.
Computer Detection of Density for Woven Fabric Based on Texture Extraction
by Xiuchen Wang, Xiaojiu Li
Vol. 7. n. 5, pp. 2425-2430
Abstract
- In order to correctly detect the density of complex texture fabric, a
new algorithm based on texture extraction method is proposed in this
paper. Firstly, the woven fabric image is processed by linear
enhancement algorithm, and the gray image of fabric is transferred to
texture matrix only including two characteristic values. Secondly, a
formula which could analyze the number of weft and warp yarns each row
or column is constructed according to texture proportion deduction
method, the texture matrix is transformed to density matrix which could
show the distributing rule of weft yarns and warp yarns. At last,
according to density matrix, weft density and warp density are analyzed
by calculating the number of weft yarns and warp yarns. The experimental
results show that this method can recognize woven fabric density
correctly and rapidly with low calculation.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Density, Woven Fabric, Texture Extraction.
An Innovative Approaches to Key Characteristic Parameter Transform of Product
by Xiaomin Ji, Xuemei He
Vol. 7. n. 5, pp. 2431-2434
Abstract
- In this paper, according to the systematic design ideas, innovative
theory and methods of "the key characteristic of parameter
transformation" is inventively put forward， and the design principles
and essence of the key characteristic parameters transformation of the
product are mainly illustrated. Based on in-depth analysis of consumers’
requirement, the importance degree of consumer demand is determined by
applying to rough set theory, and then 1-3 key characteristics are
chosen according to the importance degree of consumers’ requirement.
Grounded on this, the operating method of key characteristics parameter
transformation is explored. Variant design is adopted to produce new
output by transforming key characteristic parameters, and the nature of
content in product innovation design is analyzed so as to provide a
viable new ideas and methods for innovation and design of the product.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Feature Extraction, Parameter Transformation,
Systematic Design.
Game
Analysis and Solving Model on Boycott in the Marketing Audit
by Cheng Che
Vol. 7. n. 5, pp. 2435-2440
Abstract - To the problem of boycott during the execution of marketing audit, the paper firstly introduces the related research of scholars at home and abroad. Secondly, to the deficiencies of the previous studies, the game analysis of both parties of the boycott is used to find out the solutions which can reduce the boycott. Finally, the paper proposes five solutions to solve the problem effectively.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Boycott, Marketing Audit, Game analysis and Solving
Mode.
Expert System Reasoning Model in Sporting Events Based on Agent Technology
by Qian Tao, Fuyuan Xu, Linbo Wang
Vol. 7. n. 5, pp. 2441-2446
Abstract - TAt present, the structure of the traditional expert system reasoning mechanism can not be well adapted to the design requirements of multi-field general decision-making expert system of sporting events bidding. In this paper, from the perspective of systems science, we improve the structure and operation mechanism of the traditional expert system reasoning model using the complex adaptive system theory. Considering general decision-making expert system reasoning model as a complex adaptive system and introducing an Agent to load the knowledge that will interact in the expert system reasoning model, we use bottom-up modeling approach to build dynamic general decision-making expert system reasoning model through the interaction between the knowledge in the Agents. Then, we unify knowledge base and inference engine into the Agents interaction in the general decision-making expert system. Finally, through the design of expert system reasoning model prototype based on Agents in badminton international sporting events bidding decision-making, this paper verifies the effectiveness of the general decision-making expert system reasoning model in sporting events bidding based on Agent.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Agent Technology, Expert System, Complex Adaptive
System, Sporting Events, Reasoning Model.
Classification and Dynamic Fuzzy Clustering of Mold Resources Based on Mold
Manufacturing Grid Platform
by Fanxin Kong, Hongyan Hao, Jianmin Zuo
Vol. 7. n. 5, pp. 2447-2452
Abstract
- In this paper, the mold manufacturing grid resources associated with
the total lifecycle of mold are classified and clustered. To classify
and establish mold manufacturing grid resources conveniently, this paper
divides mold design and manufacturing grid resources into mold design
and analysis resources, mold manufacturing equipment resources, mold
knowledge and technology resources, mold information service resources ,
and mold talent resources. The template instantiation and the dynamic
fuzzy clustering method of the manufacturing grid resources are
proposed. The main functions module of the service platform is set up
based on manufacturing grid. There are seven modules include such as:
product design and mold design resource services module, mold
computation and analysis resource services module, mold processing and
product manufacturing resource services module, mold task and contract
management module, technology and standards service module, human
resources services module, user management module. This research
provides the theoretical basis and the application platform to increase
the efficiency of computation and design and manufacturing facilities,
and quickening process of mold development.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Classification, Fuzzy Clustering, Manufacturing
Gird Resources, Grid Platform.
Network Traffic Prediction Model Based on Wavelet Transform and ARMA
by Xiaoling Tan, Zefu Tan, Weijian Fang
Vol. 7. n. 5, pp. 2453-2460
Abstract
- Based on the analysis of the features of network traffic, which are
self-similar, non-linear, and multi-scale, a short-term prediction model
for network traffic is set to improve the network service and provide an
effective analytical method for its optimized controlling. In this
model, the network traffic is decomposed into different bands by
self-adaptive time-frequency localized analysis and the improved Mallat
algorithm. After de-noising at different thresholds, the wavelet
components of non-stationary random process at the sub-bands are
transformed to stable series by differential processing. Then ARMA model
is used to predict the stable processing components, and the results are
reconstructed by wavelet analysis to get the traffic prediction. The
experimental result shows this method is simple, convenient, and with a
high accuracy at short-term prediction.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Self-similar, Wavelet Analysis, ARMA Model, Traffic
Prediction.
Evaluation of Metropolis Commuter Rail-Transportation Transit Vehicle Planning
Based on Grey Weighting Relation Method
by Zhiguo Zhou, Zhou Jing, Lincai Ma, Fugen Zhu
Vol. 7. n. 5, pp. 2461-2465
Abstract
- With the development of cities, mega cities, Metropolis Commuter
traffic volume is larger, so it is important to plan the metropolis
commuter rail transit. Based on an analysis of the characteristics of
metropolis commuter, the grey weighting relation model is put forward to
evaluating the planning. The index system for evaluating the metropolis
commuter rail transit is built, the entropy method is applied to decide
the weight of each index. And finally an example is taken to apply the
method to optimize three preset schemes and decide the best one.
Finally, the proposed method is proved to be reliable and robust in
evaluating metropolis commuter rail transit planning schemes.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Metropolis Commuter Rail-Transportation Transit,
Index System, Grey Weighting Relation, Entropy Method.
An extended
Transaction model based on THP protocol
by Hai Liu, Jianwei Zhang, Pan Deng, Shilong Ma
Vol. 7. n. 5, pp. 2466-2471
Abstract
- In large scale collaborative systems tremendous amount of various
equipment run cooperatively in a certain relatively vast area. Involved
with a large number of transaction activities and processing a quite
different environment, these systems need appropriate transaction
management different from its traditional counterparts in many different
ways. First, more flexible working target makes higher availability of
alternative resources in the system. Second, resource providers are more
intelligent and can judge for themselves whether to provide resources to
the transaction initiator. Third, different from data manipulation, the
impact of device operation is often irreversible. Due to these
characteristics, we propose an extension model based on THP protocol and
add a phrase of coordination before transaction execution. What is more,
we abandon FIFO booking algorithm of THP and introduce the concept of
Transaction Success Probability and Compensation Cost to optimize the
calculation. Experimental data indicate that extended THP transaction
model can significantly improve the efficiency of resource allocation
and reduce compensation consideration.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Internet of Things, Device Collaborative System,
Transaction, THP, Compensation.
Empirical Analysis on the Performance of Pharmaceutical and Chemical Firms
by Heping Zhong
Vol. 7. n. 5, pp. 2472-2479
Abstract
- This paper examines how organizational slack influences the
performance of pharmaceutical and chemical firms by using empirical
analysis based on the data get from 47 real firms. The result shows that
the relationship between organizational slack and the performance of
pharmaceutical and chemical firms is inverse N-shaped, and task
orientation moderates this relationship in the same direction. The
results broadly demonstrate that relationships differ based on industry
circumstances and organizational slack. Additionally, this study is the
first to empirically identify an inverse N-shaped relationship between
slack and performance, indicating that, in certain industry
circumstances, little and much slack is bad for performance. Moreover,
this paper also studies the moderating effects of firm management style
on the relationship between organizational slack and performance for the
first time. Overall, results highlight the importance of additional
research into intervening factors impacting the slack–performance
relationship.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Pharmaceutical and Chemical Firm, Organizational
Slack, Inverse N-shaped Curve, Task Orientation, Software Application.
A Waveform Selection Method Based on Approximate Dynamic Programming
by
Bin Wang, Jinkuan Wang, Xin Song, Fengming Xin
Vol. 7. n. 5, pp. 2480-2488
Abstract
- With the continuous exploration and development of space, more
extensive use of the electromagnetic spectrum and diversity and
high-speed of target all lead to electromagnetic environment becoming
more complex. Traditional radar transmits single waveform, lacks
flexibility and hardly adapt to complex working environment. In this
paper, we use stochastic dynamic programming model of waveform selection
and propose an approximate dynamic programming (ADP) method in waveform
selection. This method can increase the flexibility of radar and
different waveform can be transmitted according to different
environment. In simulation, we compare ADP method, fixed waveform and
the optimal waveform selection scheme. Simulation results show that the
uncertainty of state estimation using ADP method is less than that using
fixed waveform and it approaches the optimal waveform selection scheme.
Finally, the whole paper is summarized.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Waveform Selection, Approximate Dynamic
Programming, Cognitive Radar.
Privacy Preserving in
Data Aggregation of WSN
by Ping Qian, Meng Wu
Vol. 7. n. 5, pp. 2489-2494
Abstract
- Providing efficient data aggregation while preserving data privacy is
a challenging problem in wireless sensor networks research. In recent
years, researchers at home and abroad have done much work on
privacy-preserving in WSN (Wireless Sensor Network). In this paper based
on surveying the general privacy-preserving methods for data aggregation
in WSN and analyzing their theories and characteristics, we present a
new method based on ECC homomorphic encryption. The method can protect
end-to-end data privacy in the process of addition or multiplication
data aggregation. Compared to current other private data aggregation
methods, the proposed method has better privacy protection performance
than other both end-to-end methods and hop-by-hop methods. Besides, the
method also has advantages in energy consumption and aggregation
accuracy.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Wireless Sensor Networks, Privacy Preservation,
Data Aggregation, ECC Homomorphic Encryption.
Modeling
for Complex Adaptive Agent System based on Time Colored Petri Nets
by Yeqing Zhao, Guihong Bi
Vol. 7. n. 5, pp. 2495-2501
Abstract
- The aim of this paper is to present a new modeling method for complex
adaptive agent system. Because of interior relation complexity of agent
in multi-agent systems, agent behavior was decomposed into action and
status and that is devoted to utilizing Petri nets for modeling and
describing of dynamic systems by introducing time and color sets. Then,
the model of complex adaptive agent system is developed and modeling
process is discussed on detail based on Time Colored Petri Nets (TCPN),
especially, agent behavior and agent interaction model are created. A
case study of steel logistics system by using time colored Petri nets is
provided to show the applicability of our approach and the simulation
results show that the modeling method is correct and effective.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Complex Adaptive Agent System, Petri Nets, Time
Colored Petri Nets, Agent, Behavior Description.
Computer-Aided Modelling and Simulation of Aircraft Generator Failure
by Xudong Shi, Yaowen Yang, Tao Jing
Vol. 7. n. 5, pp. 2502-2507
Abstract
- The corresponding fault signature waveform of the main generator terminal output changes before many aircraft generator failures occur. Therefore, detection and analysis of the output waveform change is an effective measure for diagnosing the interior fault of the aircraft generator. In this work, aiming at the basic fault characteristics, the simulation of generator fault characteristics at the three-phase unbalanced situation, through switching the general model to the phase-domain model of the generator, is put forward. The simulation results show that the model more accurately reflects the normal and fault operation of the aircraft generator.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Aircraft Generator, Output Waveform Change, Fault Characteristics.
Special Graphs: on the Endomorphism Monoid of K(6m, 6)
by Hailong Hou, Rui Gu, Youlin Shang
Vol. 7. n. 5, pp. 2508-2513
Abstract
- In this paper, the endomorphism monoid of circulant complete graph K(6m,6) is explored explicitly. It is shown that Aut(K(6m,6)) is isomorphic to the dihedral group of degree n. It is also shown that K(6m,6) is endomorphism regular, End(K(6m,6))=qEnd(K(6m,6)) and sEnd(K(6m,6))=Aut(K(6m,6)). The structure of the endomorphism monoid of K(6m,6) is characterized and some enumerative problems concerning End(K(6m,6)) are solved.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Endomorphism, Monoid, Circulant Complete Graph.
Computer-Aided Damage Identification for Metal Structure of Bridge Erecting Machine Based on Modal Parameters
by Liying Wang, Shaopu Yang
Vol. 7. n. 5, pp. 2514-2519
Abstract
- Using the metal structure of TLJ900 bridge erecting machine as an example, this paper takes its natural frequency and vibration model as indexes of damage detection, the frequency variation and the vibration model are analyzed in different damage positions and different damage degree. The simulation results demonstrate that the first ten order vibration models under different damage positions are no less than those of undamaged positions, therefore, the vibration model is difficult to identify the damage of structure, but the damage positions and damage degree can be evaluated according to the frequency variation. The frequency variation is small when the damage is slight for the single crack damage, and vice versa. Moreover, the frequency can be obtained quickly and accurately. So, the frequency variation can be used to identify damage even the damage is serious.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Bridge Erecting Machine, Vibration Model, Damage Identification.
A Dynamic Tool for Regional Oil Industry Chain Co-opetition
by Changsheng Huang, Yuying Tian,Chunhuan Chen, Linfang Li, Zhiqiang Ma
Vol. 7. n. 5, pp. 2520-2527
Abstract
- The strategic pattern of integration of large oil companies requires both cooperation and competition within the regional oil industry. The research subject of this paper is oil industry, assuming the current complex composition of oil companies and small enterprises and the distribution pattern of oil industry. Based on this, we construct a dynamic model of regional oil industry chain. The model is tested with the collected data. Finally, this paper proposes several specific co-opetition strategies based on the dynamic model and problems about regional oil industry chain to achieve the goal of optimizing regional oil industry chain.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Oil Industry Chain, Dynamic Model, Co-opetition, Empirical Analysis.
A Calculation Tool for Hydraulic Fracture Network-Propagation in Layered Shale Formation
by Qinghui Li, Mian Chen, Yan Jin, Fred Wang, Mingyuan Wang
Vol. 7. n. 5, pp. 2528-2533
Abstract
- Based on the theories of complex function and dislocation, a mathematical model for solving hydraulic fracture propagation problem in layered shale formation was developed, in consideration of fluid flow and fluid pressure loaded on the surface of each fracture. The mechanism of multi-fracture network-propagation can be well explained with mathematical model especially for hydraulic fracturing in layered shale formation. First, mathematical model of hydraulic fracture vertical expansion in a single layer was proposed. Second, based on flow rate and fluid pressure distributing model a multi-layered model was established. Third, by solving nonlinear equations using user-subroutine code the geometry of hydraulic fracture and the stimulation volume are acquired. The obtained results are of significance to fracturing design and diagnosis.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Numerical Simulation, Hydraulic Fracture, Network-Propagation, Layered Shale Formation, Mathematical Model.
A Computer-Based Barycentric Hermite Interpolation Optimization Algorithm Based on Lebesgue Constant Minimizing
by Qianjin Zhao, Jie Qiao, Xianwen Fang
Vol. 7. n. 5, pp. 2534-2539
Abstract
- The most stable formula for a rational Hermite interpolation is the barycentric interpolation. The core problem is to choose the optimal weights. In this paper, we focus on the barycentric rational Hermite interpolation optimization algorithm. The optimal weights are obtained based on the Lebesgue constant minimizing. Specifically, the weights as decision variables, the minimizing Lebesgue constant of the barycentric rational Hermite interpolation is given for the objective function of optimization algorithm, for ensuring that the barycentric rational Hermite interpolation satisfies the interpolation conditions and without poles and unattainable points, the weights should satisfy a series of constraint conditions. Then the solution of the optimization algorithm can be obtained by the software LINGO. Further, we show how the weights in barycentric rational Hermite interpolation can be chosen so as to preserve shape. The simulation experiments are given to show the feasibility and effectiveness of the new optimization algorithm.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Hermite Interpolation, Barycentric, Lebesgue Constant, Optimization Algorithm, Shape Preserving.
A Software-Tool for Optimal Allocation of Regional Water Resources Based on Particle Swarm Optimization
by Zhanping Wang, Juncang Tian
Vol. 7. n. 5, pp. 2540-2545
Abstract
- Water is a constrained natural resource and in many areas of the planet water shortage is considered to be one of the most important issues to be resolved. This paper analyzes the water resources demand of every area in different periods by economic development planning and possible development of super-normal conditions. A multi-objective optimal allocation model of regional water resources has been established with large scale system optimization theory and sustainable development theory, PSO (Particle Swarm Optimization) algorithm is used to solve the model, the model gets different optimal allocation results for 50% and 75% of 2024. The method and conclusion can provide a scientific decision-making of scientific project planning, water saving and regulation for Yinchuan City. The results show that the model established by this paper is reasonable and feasible and the algorithm is effective.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Water Resources, Optimal Allocation, Particle Swarm Optimization Algorithm.
An
Improved K-Means Algorithm Based on Bacterial Foraging
by Mingru Zhao, Junzhong Ji, Chunnian Liu, Hengliang Tang
Vol. 7. n. 5, pp. 2546-2549
Abstract
- In the recent years, the social foraging behavior of E. coli bacteria
in human intestine has been used to solve optimization problems. This
paper presents an improved K-Means algorithm involving bacterial
foraging in order to overcome the defects in K-Means algorithm. The
paper applied both the new clustering algorithm named K-Means-BFA-K-Means
algorithm (KBFAK) and the elementary K-Means algorithm to the fabric
data items. It is found that the KBFAK has the same results as K-Means,
but its execution time has been largely reduced.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Bacterial Foraging Algorithm, K-Means, Clustering.
International Review on Computers and Software - Papers- Part C
A Service Matching Algorithm Based on Similarity of Concept Semantic Distance
Under the Pervasive Environment
by Cuncun Wei
Vol. 7. n. 5, pp. 2550-2554
Abstract
- With the emergence of a large number of Web services in ubiquitous
environment, how to correctly locate the appropriate Web service has
become the main problem. UDDI based on key words and classification of
service discovery mechanism can not meet the current needs. Through the
definition of ontology concept semantic distance to compute the
similarity between ontology concepts, proposed one kind based on the
similarity of Web service matching algorithm. The experimental results
show that the algorithm has high matching rate and better matching
speed, to be used in pervasive computing environment.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Semantic Web Service, Matching Algorithm, Pervasive
Environments.
A
Digital Image Compression Algorithm Based on Gene Expressions
by Shuyue Ma
Vol. 7. n. 5, pp. 2555-2559
Abstract
- In order to overcome the shortcomings of low image compression ratio
and the low speed of genetic algorithm to search for the optimal fractal
image compression encoding, and to improve the compression rate of
fractal image compression transformation, the author proposes an image
compression algorithm based on gene expressions in this paper. The main
idea of this algorithm is to conduct compression transformation of
binary image and to reveal the gene of binary image, the chromosome
structure and encoding presentation, as well as the fitness function of
image compression; finally, to optimize the selection, variation,
insertion, genetic transformation, genetic recombination and other
genetic evolution operations of algorithm based on gene expression. The
results of simulation experiments prove that the improved algorithm is
excellent in global optimization, thus it is an effective digital image
compression algorithm to solve the problems of low-speed coding and
compression as well as low compression ratio.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Gene Expression, Genetic Optimization Algorithm,
Image Compression.
A
MATLAB ANN Tool Application for Coal Mine Fan Fault Diagnosis
by Hao Zhang, Jiongzhao Yang, Qiuhong Fan, Guohuan Lou
Vol. 7. n. 5, pp. 2560-2565
Abstract
- Coal mine fan is the key equipment of mine production, and it must be strictly monitor, so that avoiding a serious accident. Using rough set theory to monitoring system for fan history monitoring data for analysis, getting fan fault diagnosis system of diagnosis decision rule list, and it is easy to simplify neural network training samples, and reduce the complexity of the diagnosis system structure. Neural network is applied to monitoring and control system, select and use some arithmetic , according to the relationship of fan operation parameters and running state to design network, and after being put into use, and it can site monitoring personnel to provide the most direction fan information according to the real-time input in the network data online judging fan state.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Rough Set, Neural Network, Fault Diagnosis.
Net Profit Forecast Model Based on the Iron and Steel Enterprise Future Earnings
and Least Squares
by Hua Li, Zuofeng Jiang
Vol. 7. n. 5, pp. 2566-2573
Abstract
- With the market competition becoming increasingly fierce, M&A becomes
an enterprise competition means which requires accurate and reasonable
enterprise value assessment. Now, cost method and income approach are
the main assessment methods in China. In the prediction of the future
return of income approach, the evaluators take the quantitative and
qualitative factors into account. However, there are no specific
mathematical models to predict and test in the assessment, so the
expected revenue forecast has a large uncertainty. According to the iron
and steel industry data, we use Eviews software and establish a net
profit forecast model to analyze the expected return. And we analyze the
influencing factors impacted corporate value and future profitability,
in order to get iron and steel industry net profit forecast model. The
enterprise management plays an important role in enterprise value
assessments as well as the impact of economic crisis，and they are of
great significance to enterprise value assessment and corporate
management.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Enterprise Value Assessment, Income Approach, Net
Profit Forecast Model.
On
Duality in Multiobjective Fractional Programming Problems
by Xiaoyan Gao
Vol. 7. n. 5, pp. 2574-2581
Abstract
- The aim of this paper is to deal with a class of nonsmooth
multiobjective fractional programming problems with inequality
constraints using the powerful tool of new generalized invexity. With
the intent of extending most of theoretical results in mathematical
programming, after a deep investigation on the invex functions, a new
kind of generalized invexity, which called
(b,α)- ρ -(η,θ) -invexity,
are firstly defined where the functions involved are locally Lipschitz
by means of the concepts of generalized Clarke directional derivative
and generalized subgradient. The new invexities generalize several known
invexity type properties. In addition, the Mond-Weir type dual model for
the nonsmooth multiobjective fractional programming problem is
formulated and the weak, strong and strict converse duality theorems
relating the problem and the dual problem are established and proved
based upon the assumptions of the new generalized invex functions. To
the best of our knowledge such results have not been done till now, and
obtain authentic extensions of previously known duality results in
multiobjective fractional programming
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
(b,α)- ρ -(η,θ)
Invexity, Multiobjective Fractional Programming, Mond-Weir Type Dual.
A
Palm Print Recognition Algorithm on Geometric Invariant Theory
by Huifen Liao
Vol. 7. n. 5, pp. 2582-2585
Abstract
- This paper studies the palm print recognition in the identity
authentication system. Aiming at the disadvantages that the identity
authentication system based on the biometric of the non-contact sensor
is easily disturbed by the deformation; the research puts forth a fusion
algorithm with characteristics of geometric rotation invariance and
straight line to improve the accuracy of palm print recognition
effectively. In the first place, extract two characteristics SIFT and
LOFO from the palm print image and based on which matching is under
process to get a match. Next, combine two matches by fusion algorithm to
get the final match. The advantage of this approach is to provide
accurate recognition effectively to eliminate problems caused by
rotation and scaling. The Gabor filtering algorithm applied in original
images can extract much more characteristic information, which is
conducive to the final recognition. This approach can be applied in both
individual identity recognition and authentication.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Biometric Specificity, Identity Authentication,
Palm Print Recognition.
ε-Preinvex
Functions and Semi-Infinite Programming
by Linli Dang
Vol. 7. n. 5, pp. 2586-2592
Abstract
- Some kinds of generalized convex function are defined, that is,
ε-preinvex
function，
ε-strictly
preinvex function, generalized
ε-preinvex
function and generalized
ε-strictly
preinvex function etc, which generalize some of the present generalized
convex functions. Some properties of the above new generalized convex
functions are derived. Some application of
ε-preinvex
function in semi-infinite programming problem is studied, and some
interesting results are obtained. The results will not only extend some
of the present researches, and play an important role in theory for
optimality, engineering, economy and management etc, but also they are
helpful for solving the practical optimization problems.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: ε-Preinvex
Function,
ε-Strictly
Preinvex Function, Generalized
ε-Preinvex
Function, Semi-Infinite Programming.
Fuzzy Particle Swarm Optimization Algorithm in Solving Traveling Salesman
Problem
by Jiashun Zhang, Rongjie Lv
Vol. 7. n. 5, pp. 2593-2597
Abstract
- In this paper, a fuzzy travelling salesman problem is considered in
which the trip times between each pair of cities are treated as fuzzy
variables. To minimize the expected trip time, a programming model with
fuzzy trip time is formulated. In order to solve the proposed model, a
fuzzy simulation technique is proposed and a fuzzy particle swarm
optimization algorithm is designed to determine the optimal solution.
Finally, a numerical example is presented to illustrate the
effectiveness of this technique.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Fuzzy Particle Swarm Optimization, Traveling
Salesman Problem, Fuzzy Simulation, Fuzzy Variable.
A Numerical Solution for Large Deformation of Compliant Cantilever Beams under
Combined Loads
by Xuefeng Yang, Wei Li, YuFei Liu
Vol. 7. n. 5, pp. 2598-2602
Abstract
- Cantilevered beam theory is the basic method for the study of output
displacement of compliant mechanisms. In order to analyze the larger
deformation of cantilever beams with geometric non-linearity under
combined end loads, the Euler-Bernoulli theory was employed to build the
large deflection differential equation of cantilever beams, and a simple
and accurate series solution is obtained by homotopy analysis method
(HAM), which avoided the complex calculation of transcendental
functions. The rotation angle, dimensionless horizontal and vertical
coordinates are calculated by HAM and compared with exact solutions
obtained by elliptic integral. This analytic method provides a
convenient and straightforward approach to calculate the horizontal and
vertical coordinates of a cantilever beam with large deformation. The
results show that the HAM method is effective and the analytical
solutions are accurate for most practical engineering applications,
which can be used for further analyzing of the larger deformation of
cantilever beams with geometric non-linearity and optimizing the
structure of compliant mechanisms.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Cantilever Beam, Large Deformation, Numerical
Solution, Homotopy Analysis Method.
Affinity Propagation Clustering Algorithm Based on Fuzzy Evaluation
by Hui Fu, Xiaoyong Liu
Vol. 7. n. 5, pp. 2603-2607
Abstract
- Affinity Propagation algorithm is a novel clustering algorithm, which
is presented in 2007. This algorithm uses message passing mechanism to
cluster. In Affinity Propagation clustering algorithm, the value of
preference is an important factor and is often manually established in
advance. It is obvious that the clustering results have a certain degree
of subjectivity and human error in traditional Affinity Propagation
algorithm. In the study of clustering performance evaluation, clustering
validity evaluation is introduced into the algorithm, and clustering
algorithm can determine automatically the number of categories through
cluster validity judgment. This paper discusses the application of fuzzy
clustering validity evaluation in AP algorithm and proposes the improved
adaptive Affinity Propagation algorithm based on fuzzy evaluation. This
paper combines fuzzy evaluation method in the study of cluster validity
assessment with Affinity Propagation clustering algorithm and obtains
automatically the optimum value of preference. The numerical result
shows that the new algorithm is better than traditional Affinity
Propagation clustering algorithm.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Affinity Propagation Clustering Algorithm, Cluster
Validity Assessment, Preference Value, Fuzzy Evaluation.
A Queuing Time Aware Dynamic Grid Workflow Scheduling Model Based on Repairable
Queuing System
by Xi Li, Zhigang Hu, Chaokun Yan
Vol. 7. n. 5, pp. 2608-2615
Abstract
- The reliability of a Grid resource site will affect the execution
performance of tasks on the site, which will bring effect on the queuing
time of other tasks on this site. M/M/C repairable queuing system is
adopted to establish a comprehensive evaluation model, which is used to
describe the reliability and dynamic processing capacity of Grid
resource in multi-cluster environment. This model considers not only the
possible failures of Grid resource, but also the dynamic workloads of
resource sites, which makes it be close to practical Grid systems. On
the basis of the resource reliability evaluation model, a queuing time
aware dynamic Grid workflow scheduling model and the corresponding
algorithm is proposed. The QTADGWS algorithm uses the list based method,
and tries to achieve great performance by overlapping data transfer time
and queuing time. The simulation experimental results indicate that
QTADGWS could achieve better performance on makespan and average waiting
time.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Grid, Queuing Time, M/M/C Repairable Queuing
System, Workflow Scheduling.
Organization and Management of Instrument Resources in the National Earthquake
Network
by Jingyuan Pang, Yuantian Teng, Chen Wang, Guodong Zheng, Zhonggen Li
Vol. 7. n. 5, pp. 2616-2621
Abstract
- In order to meet the demand of resource sharing and collaborative
work, it is urgent for National Earthquake Network to create an
effective instrument resources management system. Firstly, based on the
analysis of the unique characteristics of resources in the National
Earthquake Network and the business requirements, we proposed a new
resources management system model. Secondly, we proposed a new method to
realize the optimization for multi user concurrent tasks and the results
distribution, which is proved to be very successfully. The information
in our system will be abstracted to be a unified description so that
instruments resources are transformed to uniform and standard resource
which shields the diversity in instruments and makes the system easier
to be extendable. Now, the system is running efficiently in the whole
country.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: National Earthquake Network, Instrument Resources,
Information Management System.
Spam Filtering
Based on SVM and RBF Neural Network
by Caiyin Wang
Vol. 7. n. 5, pp. 2622-2627
Abstract
- The flooding spams consume a large number of server resources and
bring great harms to the user's normal use. At present, the spam
filtering technology which we always use is based on the naive Bayesian
model. Because of the extremely complex Chinese semantic environment and
naive Bayesian algorithm’s easily deceiving, naive Bayesian algorithm is
not very good at Chinese spam filtering. Therefore, we propose one kind
of spam filtering method based on SVM classification and RBF neural
network. Experimental results show that this algorithm can filter
Chinese spam more quickly and more efficiently compared with other spam
filtering methods.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: SVM, RBF Neural Network, Spam Filtering, Word
Segmentation, Feature Selection.
Integration of Edge and Region Information Level Set Vector Image Segmentation
by Jianping Wang
Vol. 7. n. 5, pp. 2628-2633
Abstract
- Take full advantage of the vector image channel region and edge
information based on variational the IAC (integrated active contour)
model introduced signed distance function of the non-thermal heat
equation constraint items, the level set without time-consuming
re-initialization always maintain the characteristics of the symbol
distance function. The equalization of the conductivity of the
non-thermal heat equation, the evolution of the level set segmentation
process fast and stable. In addition, the algorithm improves the curve
of the two-dimensional gradient and divergence operator traditional
discrete manner, gradient and divergence operator to maintain the space
rotation invariance. The experimental results show that this method is
effective to improve the segmentation accuracy and robustness.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Image Segmentation, Integrated Active Contour Model, Region and Edge Information, Divergence Operator.
Model of Improved Grey Relation of Safety Evaluation in High-Rise Building Fires
by Ru Zhou, Wei Zhang
Vol. 7. n. 5, pp. 2634-2638
Abstract
- Through presenting the characters of high-rise building fire and
evacuation and analyzing the faults of some evaluating methods of safe
evacuation, an appropriate evaluation model, based on the overlaying of
information, combining grey relational evaluation and Delphi, is
established. And the relative Euclid nearness and the membership degree
are used to improve the two main defects of the common grey relative
model: the integrity and the relevance. Then an improved safety
evaluation model was developed to obtain the safety evacuation degree
and the most demanding improving factors. For getting more accurate
evaluation result, Delphi is applied to obtain the weighting, which
could reflect the most important factor in high-rise building fires at
the present stage. Then an example is introduced to verify the
feasibility of improved evaluation model.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: High-Rise Building, Fire Evacuation, Grey Relative Evaluation.
Construction and Application of Three-Level Supply Chain Coordination Model with
Profit Sharing Contract
by Weiqiong Fu
Vol. 7. n. 5, pp. 2639-2649
Abstract
- In order to improve the interests of the whole supply chain, achieve
profit sharing and risk sharing, how to coordinate the relationship of
supply-chain enterprises and solve the conflict between the individual
rationality and the collective rationality has become an important
research subject in the field of supply chain management. In the
environment of the three-level supply chain with random demand, setting
up the three-level supply chain structure model composed of the
supplier, the manufacturer and the retailer to analyze decision behavior
differences between supply chain members under the centralized control
and the decentralized control. Through the design of certain profit
sharing parameters to inspire supply chain members and solve
contradictions and conflicts between individual rationality of a single
enterprise and collective rationality of the supply chain, so that the
performance of the supply chain under decentralized control can
reach/close to that under the centralized control.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Three-Level Supply Chain, Profit Sharing Contract, Random Demand.
Connectivity of Spectrum Holes and Latency of Waiting for a Spectrum Hole in
Cognitive Radio Networks
by Jing Wang, Shulin Yao, Dawei Chu, Haiyan Chen, Ying Chang, Yunwei Li
Vol. 7. n. 5, pp. 2650-2654
Abstract
- The activities of primary users affect the channel quality in
Cognitive Radio networks. And the available spectrum holes show
different characteristics which vary over time. In this paper, we assume
that primary users arrive at each channel with Poisson Point Process (P.P.P.)
and occupy the channel for a random duration according to exponential
distribution. We map a cognitive radio channel to a one dimension
Poisson Boolean Model, and consider the characteristic of spectrum holes
under this model. We introduce the connectivity of spectrum holes to
measure the time duration that secondary users can occupy licensed
channels before getting interrupted. Then we study the waiting time of
secondary users for spectrum holes by percolation theory, and obtain the
upper bound on mean duration that a secondary user waits for spectrum
holes in multi-channel cognitive radio networks.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Spectrum Holes, Cognitive Radio Networks, Continuum Percolation Theory, Poisson Boolean Model.
Improvement of Classic Theory by Visual Detection Operation
by Qiang Zhang, Peng Zhang
Vol. 7. n. 5, pp. 2655-2660
Abstract
- Image processing technology is dependent on the quality of the visual
map in order to obtain better results, the existing visual detection
method usually can only detect get rough visual attribute graph,
seriously affected the image processing results. This paper puts forward
a method of using classic theorem and statistical learning of visual
detection method to detect the image of visual property. The method is
based on classic theorem of static image top-down significant and
overall significance, the top-down knowledge and from the bottom up the
significance of combination. For the characteristics of the synthetic
integration problems, by using linear model the weighted linear
combination method and using regularized neural network combined with
nonlinear weighting method to study with all the factors related to the
weight parameter. According to the bottom-up visual model in two fixed
data set using ROC curves for quantitative evaluation, it also shows
that the effect is better than that of linear combination of non-linear
combination.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Visual Detection, Visual Map, Classic Theorem, Logistic Model, Neural Network.
Expert
System for Application in the Drug Quality Management
byZaihe Yu, Miaolei Zhou
Vol. 7. n. 5, pp. 2661-2667
Abstract
- In the quality testing of drug quality management, artificial
judgement method has many shortcomings. In order to overcome these
problems, this paper designed an expert system based on database to
replace artificial judgment. The model form of system structure adopts
database as the carrier, the knowledge or data used in the reasoning
process is stored in the database. Knowledge representation of this
expert system adopts the production rule representation. Experimental
result shows that the proposed expert system can realize the reasoning
for drug quality management.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Expert system, Database, Production Rule, Drug Quality Management.
A Streaming Media
Format for Online Education
by Qing Wei, Xiaoxue Li
Vol. 7. n. 5, pp. 2668-2672
Abstract
- The streaming media for Online Education has some special
characteristics that are different from common VODs in entertainment
applications. It is necessary to develop a new media format for online
education. Based on the ASF format, a new Online Education Streaming
Media Format (OES format) is proposed in this paper. OES is more
suitable for playing on portable devices that has capability of touch
display. Several scenarios are selected to experiment OES’s features
includes interface and controllers. Experiments show the proposed format
is more reasonable, accurate and convenient for processing and playing
media for education.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Portable Device, Synchronization, Capacitive Touch Display, Streaming Media for Online Education.
Affection Behaviour Approach for WSMO Based on Ant Colony Algorithm
by Changwei Ma Xiangbing Zhou
Vol. 7. n. 5, pp. 2673-2678
Abstract
- Affective computing is a new artificial intelligence study and
application area such as virtual reality, human-computer interaction,
pattern recognition. and that, this paper proposes affective behavior
approach for WSMO((Web Service Modeling Ontology)) based on ant colony
algorithm for tourism consumption, which aims to handle travelers’
behavioral characteristics and predict traveler’ consumption trend and
ability in a period of time through analyzing their behavior
characteristics, Moreover, the features, it can meet the demands of
tourism managers. Finally, we adopt a VTA(Virtual Travel Agency) example
under WSMO to show this method is effective and feasible.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Ant Colony Algorithm, Web Service Modeling Ontology, Affective Behavior, Tourism Consumption.
A Heuristic
Approach to Dynamic Scheduling of AEOS System
by Zhenyu Lian, Lining Xing
Vol. 7. n. 5, pp. 2679-2684
Abstract
- Agile Earth Observation Satellites (AEOS) system will be an important
direction, for the AEOS’s agility and high return. Currently, most of
the Earth Observing Satellites are totally controlled by the ground:
operation schedules are regularly made on the ground, uploaded to the
satellite and then, executed on-board step by step. Facing the new AEOS
development and new on-board decision-making requirements, spatial
relation of satellite with ground target is presented firstly, then a
Dynamic Scheduling System of AEOS with a Monitoring, Reactive and
Repairing Architecture (MIRRA) is introduced for protecting satellite’s
on-board resources and a Dynamic Heuristic Scheduling Algorithm is
proposed, as the core part of the systems. Finally, an experimental
evaluation performed on some benchmarks confirms the validity and
effectiveness of this Dynamic Scheduling System.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Agile Earth Observation Satellites, Operation Schedule, Dynamic Scheduling System, Dynamic Heuristic Algorithm.
Improved Wang-Mendel Scheme Based on Cooperation among Input Variables
by Wenyu Chen, Jin Gou
Vol. 7. n. 5, pp. 2685-2689
Abstract
- In order to improve the completeness and robustness of Wang-Mendel
algorithm, this paper develops a new algorithm based on cooperation
among input variables to generate fuzzy rules. A new concept, called
degree of correlation, is defined with the cooperation among samples,
which can be used to make a weighted average operation for each sample
data. A group of simulation experimental results show that the proposed
algorithm has better approximate performance than Wang-Mendel algorithm
when sample data sets in fuzzy system are incomplete or doped with bad
data.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Wang-Mendel algorithm, Completeness and Robustness, Cooperation, Fuzzy system and Fuzzy rules.
Short-Term Forecasting of Wind Speed Based on Wavelet Transform and RBF Neural
Networks
by Chuanan Yao, Yongchang Yu
Vol. 7. n. 5, pp. 2690-2695
Abstract
- Accurate forecasting of wind speed is important for the economic and
secure operation of wind power systems. In order to overcome the
randomness of wind and improve the accuracy of short-term wind speed
forecasting, a combination forecasting model of short-term wind speed
based on wavelet transform and radial basis function (RBF) neural
network is presented in this paper. First, using wavelet transform, the
wind speed time series is decomposed and reconstructed into the
sub-sequences of different frequency bands, then these sub-sequences are
input into RBF networks for training and forecasting, respectively. The
efficiency of the proposed method has been evaluated using an actual set
of data recorded from a wind farm of Inner Mongolia in North China.
Results of the actual wind speed forecasting show, in comparison with
ARMA method and conventional RBF networks, the prediction accuracy of
the combination forecasting model has been greatly improved, can be used
as short-term wind speed prediction.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Wind Speed Forecasting, Wavelet Transform, RBF Neural Network, Combination Forecasting.
Upper and Lower Approximations of Rough Sets Induced by Matrix Transformation
by Sheng Yao, Longshu Li, Meng Ma
Vol. 7. n. 5, pp. 2696-2702
Abstract
- Rough set is discussed from the viewpoint of matrix in this paper. A
simpler matrix is constructed for computing the upper and lower
approximations of an uncertain concept both in Pawlak Rough Set Model
and in Variable Precision Rough Set Model. The matrix vector
multiplication is directly used to solve this problem; the correctness
of the proposed method is proved. In addition, the method for computing
the upper and lower approximations of an uncertain concept in Variable
Precision Rough Set Model is also used in Pawlak Rough Set Model, which
has the versatility.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Rough Set, Matrix Transformation, Matrix Representation, Variable Precision Rough Set.
A Hybrid
WNN-PSO Algorithm for Optimal Control Problems
by Xiaoyu He, Yang Lei
Vol. 7. n. 5, pp. 2703-2708
Abstract
- RTo solve optimal control problems with numerical methods, a hybrid
wavelet neural network - particle swarm optimization algorithm is
proposed. Firstly, the hybrid algorithm is to parameterize the optimal
control trajectory based on the non-linear approximation capability of
the wavelet neural network. Then the optimal control problem is
transformed into a non-linear programming problem where the decision
variables are the parameters of the wavelet neural network. Finally, the
parameters of the network are optimized by the particle swarm
optimization algorithm and the global optimal solution of the NLP is
obtained. Simulation study on a benchmark chemical process optimal
control problem shows the feasibility and effectiveness of the proposed
method.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Optimal Control, Wavelet Neural Network, Parameterization, Particle Swarm Optimization.
Electro-hydraulic Servo Valve Based on New Type Function Materials Actuator: A
Review
by Zaihe Yu, Miaolei Zhou
Vol. 7. n. 5, pp. 2709-2717
Abstract
- Electro-hydraulic servo valve is widely applied in the industrial
field nowadays. The research progress on the electro-hydraulic servo
valve based on new type function materials is reviewed in recent years,
including piezoelectric, magnetostrictive, shape memory alloys and
magneto-rheological servo valve. Their structures, working principles
and achievements on the flow and pressure control are introduced, and
finally the development of this type of servo valve are analyzed,
summarized and prospected.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Electro-Hydraulic Servo Valve, Piezoelectric, Magnetostrictive, Shape Memory Alloy, Magneto-Rheology.
An Image Segmentation Algorithm of Snake Model Based on Firefly Algorithm
by Xiaogang Du, Jianwu Dang, Yangping Wang
Vol. 7. n. 5, pp. 2718-2723
Abstract
- In order to solve the problem that the snake model isn’t convergent to
the concave edges of object region during image segmentation; a snake
image segmentation algorithm based on the firefly algorithm is put
forward in this paper. Firstly, the traditional snake model is improved
by adding the centripetal force, and it has the characteristics of
convergence to the concave edges of object region; Secondly, the initial
contour of object is converged coarsely using the improved Snake model;
Finally, the firefly algorithm which has the good ability of finding the
global best value is adopted for the imprecise convergence contour to
search the real edges of the object region and complete the process of
image segmentation. The experimental results show that this algorithm
can overcome the shortcoming that the snake model is easy to fall into
local extremes and not convergent to the concave edges of object region
and the accuracy of the segmentation results is also improved.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Firefly Algorithm, Snake Model, Object Contour, Image Segmentation.
A Multicast Key Management Scheme against Residual Energy
by Wangcheng Cao, Shuping Fan, Bo Yu
Vol. 7. n. 5, pp. 2724-2728
Abstract - The study of key management scheme has been a research hotspot in security mechanism for multicast communication. In this paper, a multicast key management scheme is proposed based on the security analysis of multicast communication as well as existed key management schemes. Simulation results show that the scheme not only ensures network security but reduces traffic and network overhead so as to extend the network life cycle
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Key Management, Key Tree, Multicast Communication, Residual Energy.
A Software-Tool for Taguchi-Based Parameter Optimization of Brush Box in
Injection Moulding
by Fanxin Kong, Mengling Wu, Weiguo Zhuang, Liqin Shen
Vol. 7. n. 5, pp. 2729-2734
Abstract - The numerical simulation model of a brush box is set up. With the application of Moldflow analysis software, the warpage deformation of the brush box is simulated with the experimental design by orthogonal experimental. The warpage data are obtained under different molding conditions including mold temperature, injection temperature, injection time, dwell time, dwell pressure. The warpage data are also analyzed using ANOVA, the results are used to compare the influencing degree of each factors. The optimal process parameters within molding range were searched out, including mould temperature 85°C, injection temperature 290°C, injection time 2.4s, dwell time 20s and dwell pressure 100MPa.Furthermore, using the optimum set of effective factors obtained; more simulations are carried out by changing one factor at a time and keeping the others at their optimum level, to investigate the effect and mechanism of each factor on the warpage. This paper guided the designing of the plastic mould structure, optimized the trial process parameters of the injection, reduced the cost of the produce and improved the quality of the brush box
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Taguchi, Process Optimization, Injection Moulding, Brush Box.
A
Computer-Based Method for Curvature-Continuous and Collision-Free Trajectory
Planning for Autonomous Vehicle
by Aijuan Li, Shunming Li, Huan Shen, Xiaodong Miao
Vol. 7. n. 5, pp. 2735-2739
Abstract - The trajectory planning technology with obstacle avoidance for autonomous vehicle is an important component in the autonomous vehicle field. In order to make the autonomous vehicle drive smoothly in the obstacle environment, a curvature-continuous trajectory planning method was introduced. The method takes advantage of the vehicle model’s differential flatness property and makes use of B-spline curves to parameterize the flat output in the output space. The method imposes the vehicle’s beginning and end position constraints, obstacle avoidance constraints, curvature constraint and yaw velocity constraint such that the trajectory is curvature-continuous and the vehicle can track the planned trajectory smoothly. The optimum trajectory is obtained by computing the restrained optimization problem of B-spline curve’s parametric coefficient. The real vehicle experiment results demonstrate the planning method is reasonable and feasible. The trajectory’s curvature is continuous and the vehicle can follow the trajectory smoothly
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Autonomous Vehicle, Trajectory Planning, Differential Flatness, B-Spline Curves.
Spectral
Analysis and Independent Component Separation for Aero-Engine Rotor Vibration
Signals
by Xiangyang Jin, Xiangyi Guan, Lili Zhao, Hanlin Yang, Ming Pang,
Tiefeng Zhang
Vol. 7. n. 5, pp. 2740-2744
Abstract - Based on the traditional spectral analysis method, the blind source separation technology has been employed to conduct the vibration source separation for the aircraft engine vibration signals. At the same time, the blind source separation theory has been also introduced and the feasibility of its application in the processing of aero-engine vibration signals has been also discussed. Afterwards, the excessive vibration problem of some turbofan engine has been conducted the fault diagnosis analysis. Finally, the Independent Component Analysis algorithm has been adopted to analyze the vibration signals and the vibration source signals of engine have been also separated. It is indicated that the technology which combines the independent component analysis and the spectral analysis in the process of discussing the vibration signals of engine can effectively separate the vibration source signals and improve the accuracy of fault diagnosis
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Aero-Engine, Signal Separation, Spectral Analysis, Fault Diagnosis.
Aeroengine
Data Correlation by Means of Detrended Fluctuation Analysis
by Keqiang Dong, You Gao, Changjun Zhu
Vol. 7. n. 5, pp. 2745-2749
Abstract
- This paper gives a detailed analysis to the correlation and
cross-correlation characteristics for aeroengine dynamics. By applying
the detrended fluctuation analysis, we find that the detrended
fluctuation function of the aeroengine series follows a power-law, ,
where the parameter , called correlation exponent, represents the
correlation properties in signals. Specially, the correlation property
of the exhaust gas temperature (EGT) and engine fan speeds (N1 and N2)
are similar.
Further, we consider the cross-correlation of the aeroengine time
series. Interestingly, the properties of detrended cross-correlation
analysis function between exhaust gas temperature (EGT) and engine fan
speeds (N1) is analogous to the functional properties obtained by
exhaust gas temperature (EGT) and engine fan speeds (N2). These results
indicate that the correlation and cross-correlation features exist in
the aeroengine system
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Detrended Fluctuation Analysis, Detrended Cross-Correlation Analysis, Exhaust Gas Temperature, Engine Fan Speeds.
MATLAB
RTW Tool Application to Configure RBF Neural Network PID Controller of Turntable
Servo System
by Yanmin Wu, Chun Huang, Wei Deng, Guangzhao Cui
Vol. 7. n. 5, pp. 2750-2754
Abstract
- The conventional PID controller is mostly effective for linear or
nearly linear control systems. However, turntable servo system is highly
nonlinear and uncertainty plants, nonlinear PID controllers are needed
in order to satisfactorily control this system. An adaptive neural
network PID control system is proposed in which the Radial Basis
Function neural network (RBF) is implemented as a controller. The RBF
neural network PID controller avoids model dependence of the
conventional PID, improves the low speed performance of the turntable
system. A semi-physical simulation is conducted by using the MATLAB RTW
tool. The simulation results show that the turntable servo system with
RBF neural network PID controller exhibits robustness and good
adaptation capability which can be practically implemented.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Turntable, Neural Network Control, RBF PID.
Data
Envelopment Analysis Applied to Strategic Emerging Industries
by Liping Fu, Xiaojing Li, Zuting Zheng
Vol. 7. n. 5, pp. 2755-2761
Abstract
- Technological innovation, in the development of strategic emerging
industries including environmental protection, energy saving, a new
generation of information technology, biotechnology, high-end equipment
manufacturing, new energy, new materials and so on, is the core driving
force. So the measure of its efficiency of strategic emerging industries
is essential to improve the scientific and technological innovation
capacity. This paper, on the panel data, builds up input-output
indicator system of technological innovation efficiency by the BCC
model, SE-DEA and Malmquist index method, analyzes the dynamic and
static measures in technological innovation efficiency of regions
strategic emerging industries, attempts to provide a data processing
library of regional strategic emerging industries, and proposes relevant
suggestions on the rational allocation of region’s scientific and
technological resources.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Strategic Emerging Industries, Technical innovation Efficiency, Super-Efficiency Data Envelopment Analysis, Malmquist Index.
Constrained
Bi-Objective Optimization with Hybrid Particle Swarm Optimization
by Lianfeng Wang, Jianshe Song, Jiping Cao, Xiaoyan Li
Vol. 7. n. 5, pp. 2762-2772
Abstract
- This paper introduces a hybrid bi-objective particle swarm
optimization algorithm for solving constrained bi-objective optimization
problems. Firstly, we proposed a fast strategy towards non-dominated set
construction for reducing the computational cost, and an adaptive
threshold value is proposed. The infeasible particles whose total
violation of constraints are less than the threshold and not dominated
by the feasible non-dominated solutions will be put into non-dominated
set. This strategy can exploit the information hidden in infeasible
region, and increase the quality of Pareto set. Secondly, based on
adaptive grid technology and crowding distance sorting, a hybrid
mechanism for global leader selection and diversity maintenance is
designed. When the individual leader is updated, we improve the
stochastic ranking method for handling constraint. The method can lead
the population in the direction where new better particles will be
found. Moreover, we adopt a novel mutation operator with differential
evolution’, which is capable of keeping a balance between exportability
and exploitability. Experimental results performed on several
constrained bi-objective optimization benchmark problems shows that the
proposed scheme has good efficiency.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Constrained Bi-Objective Optimization, Particle Swarm Optimization, Differential Evolution, Pareto Set.
A
New Operational Rule of Grey Number with Probability Distribution
by Huafeng Xu, Yongli Bai
Vol. 7. n. 5, pp. 2773-2778
Abstract
- In the situation of considering probability distribution, using the
new definition of grey number, we propose the operation methods of grey
numbers based on their probability distribution. The operation of
discrete grey number and the continuous grey number has been mainly
studied. With several examples we explain the validity of this method,
finally it indicates that this method can describe the grey number
operation result appropriately. It will have broad application prospects
in computer such as information management and network and
communication.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Grey Number, Operational Rule, Probability Distribution.
An
Improved Multi-Hop Communication Algorithm Based on SEP Protocol
by Chengzhi Long, Yixing Li, Yihong Li
Vol. 7. n. 5, pp. 2779-2784
Abstract
- One of the key points of network routing design is power management.
The paper summarizes the transmitting routing model of SEP, and finds
that although the SEP protocol is a low power and adaptive lamination
route algorithm, it might lead to overload of some cluster head nodes.
Considering the limited energy of sensor nodes in wireless sensor
network, multi-hop routing algorithm (MH-SEP) of cluster heads based on
SEP is proposed. A shortest inter-cluster multi-hop routing is formed
for communication between cluster heads and the base station, which
avoids using low energy cluster heads. Simulation results demonstrate
that compared with SEP this novel protocol is more efficient to save
energy of consumption; it prolongs the lifetime of the network and
increases the throughput of the network.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Wireless Sensor Network, Multi-Hop, Network Lifetime, Network Throughput .
Please send any
questions about this web site to
info@praiseworthyprize.it
Copyright © 2005-2014 Praise Worthy Prize
