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International Review on Computers and Software Vol. 7 N. 1-- Part A
International Review on Computers and Software Vol. 7 N. 1-- Part B
International Review on
Computers and Software - January 2012 (Vol. 7 N. 1) - Papers Part A
International Review on Computers and Software - Papers- Part A
New
Algorithm for Maximization of Linearly Constrained Convex Quadratic
Programming
by A.
Chikhaoui, A. Belabbaci, A. Mokhtari
Vol. 7. n. 1, pp. 1-8
Abstract - The aim of this study is to calculate the optimum of a convex quadratic function under linear constraints. The aim of this paper is to present a new algorithm for maximizing a convex quadratic programming problem. Constraints are linear. The algorithm operates on quadratic programs in standard form. Each iteration computes new expression of the objective function and the expression of the convex. The stopping criterion is a test of the combination of the cost function allows. The optimal solution is an exact solution and is always a peak when it is unique. This algorithm begins at starting vertex and moves along the edges of the polytope until reaching the vertex of the optimal solution. This algorithm is also valid for linear programming problems. Note a significant result is that the double product does not affect the accumulation of the function. The structure of the algorithm is very similar to simplex algorithm for the linear case. This algorithm is a contribution to the separable program because it allows interpolation of order two. Note that this algorithm is also valid for the linear programming problems.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Global Optimization, Quadratic Function, Interpolation, Convex Maximization.
A
Graphical Model for Assessing the Quality of E-Commerce Systems
by
Thair M. Hamtini, Osama M. Rababah
Vol. 7. n. 1, pp. 9-17
Abstract - One of the most key determinants for success or failure in E-commerce is a high quality website that provides a good user experience. The most consistently successful E-commerce companies are painfully aware of this. Merely a web presence or offering low prices is not enough. However, it has been elusive to judge a site’s quality. To gauge the quality of the user experience of a website, it is necessary to produce a framework and model that makes an evaluation possible. In this paper we introduce a model, named EWQPNet (E-commerce Website Quality Prediction Network). This model provides a consistent and practical approach to assessing the quality of the user experience of the website. The assessment can be carried out before the completion of the website development. Therefore it can provide insights on recommended trends and directions for corrections and improvements. It can also be carried out on operational sites and provide a thorough analysis of areas for improvement. In order to apply EWQPNet’s model a software program has been developed, which also was named EWQPNet. The performance of this program is quick and practical and provides an overall comprehensive assessment with root-cause analysis. This can be used for corrective measures in order to improve the quality of the E-commerce website.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: E-Commerce, Metrics, Quality Evaluation, Software Program.
Finished
Precision Study for Rapid Prototyping Model
by Yu Dongman, Zhongxiao Hao, Li Xiaojing
Vol. 7. n. 1, pp. 18-22
Abstract - As an advanced technology, stereo lithography apparatus of rapid prototyping (RP), has been widely accepted as an efficiency way for fabricating new production with shorter cycle and lower cost. Nowadays, a variety of rapid manufacturing technologies have emerged and developed, such as stereo lithography apparatus (SLA), selective laser sintering (SLS), fused deposition modeling (FDM), laminated object manufacturing (LOM). In this study, we carry out the study of SLA rapid prototyping that works with layer-by-layer manner. During the fabrication process, ultraviolet light is selectively exposed to liquid resin to establish model. However, because of photo-polymerization and simultaneously shrinkage, the finished model has the defect of volume shrinkage. For the reason of avoiding severe volume shrinkage and dimensional instability, the finished precision study of LSA is carried out. A non-standard gear is selected as research object and fabricated in SLA machine. The four typical scanning modes of SLA are respectively conducted in this study. The research results indicate that SLA parameters, especially for scanning mode and scanning speed, have closely relationship with forming precision. The finished precision of XYST mode is prior to the XY mode, and the X-Y mode is prior to the X-X mode. The lower scanning speed and surface recoating process might enhance the finished precision.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Stereo Lithography Apparatus, Rapid Prototyping, Finished Precision.
Improved
Chaotic Particle Swarm Optimization Algorithm and Its Application in the Design
of Robust Controller
by
Miao-Wang Qian, Guo-Jun Tan, Zhi-Xun Ma, Hui Zhang
Vol. 7. n. 1, pp. 23-30
Abstract - An improved chaotic particle swarm optimization (ICPSO) algorithm which considers the global suboptimal is proposed in the paper. The ICPSO algorithm is based on traditional chaotic particle swarm optimization (CPSO) algorithm with the updating formulas improved. The ICPSO algorithm is tested with 4 benchmark functions and the results indicate that the ICPSO algorithm has better performance compared with CPSO algorithm. Then aiming at the difficulties of parameter selection for the H∞ robust controller of three-phase PWM rectifier control system, the ICPSO algorithm is applied to select the parameters. Finally, the capability of the optimized H∞ controller is verified with simulation and experiment. The results demonstrate that the PWM rectifier control system with H∞ controller has excellent dynamic and steady-state performance. Therefore, the improvement of algorithm in the paper is feasible and the ICPSO algorithm is valid for the design of H∞ controller.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Particle Swarm Optimization Algorithm, Chaotic Search, Global Suboptimal, H∞ Controller, PWM Rectifier.
A
New Model-Based Test Technique Using Formal Specification of Software
Architectures
by Samaneh
Vaez Dalili, Sayed Mehran Sharafi, Bahman Zamani
Vol. 7. n. 1, pp. 31-39
Abstract – In component-based software development, the correctness of a system depends upon the successful integration of components. While individual components may function correctly, several new faults can arise when these components are integrated together. Model-based testing, as a way of checking the correctness of a component, generates test cases from a formal model of the components, in a systematic manner. In this work, we use Software Architecture as a reference model in Model-based testing. It specifies the behavior of components with respect to their architectural specifications. Team automata possess distinguishable characteristics which make it suitable to specify Software Architecture, formally. It is an extended automata-based model. We present a framework which uses team automata to formalize architectural specifications. We use formal architectural specifications during automatic generation of test case. We use a sample HRMCS case study to illustrate our hands-on experience.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Software Testing, Software Architecture, Model-Based Testing, Team Automata, UML.
Time
Characteristic Evaluation of MC-CDMA System
by Al-Thuneibat
S. A.
Vol. 7. n. 1, pp. 40-44
Abstract – We had divided the performance of MC-CDMA system into probability and time characteristics. Previously we have presented the probability characteristics. In this paper we use the introduced queuing model of the up link from mobile station to the base station for the evaluation of a wide range of time characteristics of MC-CDMA system. We use MathCAD calculation program and performed several experiments with this model. Calculation results of the time characteristics are obtained and discussed. These results are very essential and important for the design and development of the improved time characteristic of MC-CDMA system.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: MC-CDM, Modeling, Time Characteristic Evaluation.
Green
Cloud Computing: Need of the Hour
by
R. K. Jena
Vol. 7. n. 1, pp. 45-52
Abstract - Day by
day, Cloud computing is becoming a very promising computing platform for
various applied areas of computing including science, engineering and
business. A Cloud infrastructure is consisting of multiple distributed
and heterogeneous resources. The notion of a Cloud has existed in one
form or another for some time now. But due to the recent advances in
virtualization technologies and ICT enabled business, this concept has
became more appealing today. Clouds computing aim to deliver more
economical solutions to both consumers and providers. The minimization
of energy consumption plays a crucial role in the context of the
economical solution for computing. Energy usage in Cloud computing has
yielded many other concerns like carbon emissions and system
reliability. Global warming due to carbon emission is the main concern
in present day computation. This paper discusses the various elements of
Clouds, which contribute to the energy consumption and carbon emissions.
Toward the end, this paper also discusses the solutions to minimize the
carbon emission.
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Keywords: Cloud Computing, Green Cloud, Virtualization, Data Center SaaS, PaaS, IaaS.
Based
on Particle Swarm Optimization Mobile Robot FastSLAM Method
by
Dongbo Liu, Guorong Liu, Peixin Qu
Vol. 7. n. 1, pp. 53-59
Abstract - FastSLAM
is a framework which solves the problem of simultaneous localization and
mapping using a Rao-Blackwellized particle filter. Conventional FastSLAM
is known to degenerate over time in terms of accuracy due to the
particle depletion in resampling phase. To solve this problem, This
paper provides a robust new algorithm based on the particle swarm
optimization(PSO) and unscented transformation called PSO unscented
FastSLAM (PSOU-FastSLAM).Through the particle swarm optimization, the
particle’s prediction is updated, the particle’s proposal distribution
is adjusted in FastSLAM, and the landmarks updated through Unscented
Kalman filter to improve map estimation accuracy. This approach improves
the filter consistency and state estimation accuracy, and requires
smaller number of particles than the FastSLAM approach. The simulation
experiment results prove its effectiveness and feasibility.
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Keywords: Robot, SLAM, Particle Swarm Optimization, Unscented Kalman Filter.
Hierarchical
Hybrid Modeling Approach for System of Systems Architecture Evaluationby A-Ni Song, Ming-Zhe Wang
Vol. 7. n. 1, pp. 60-66
Abstract - As the top framework of System of Systems (SoS), SoS architecture serves as the basis for capability exploration and mission implementation. The Department of Defense Architecture Framework (DoDAF) is one of the most popular architecture representation standards to provide a common communication language for SoS architecture design. However, DoDAF is the static description of SoS. In order to evaluate dynamic performance of SoS architecture, computer-based modeling and analysis techniques are needed. Based on coloured Petri net framework, this paper proposes a hierarchical hybrid modeling approach to develop executable model for SoS architecture. With considering of its hybrid feature, SoS architecture is divided into three levels: discrete event level, continuous level and interface level. The first two are modeled in their specific domain respectively, and interactions between them are synthesized by a unified interface. The insights into time synchronization issues of hierarchical model and timing mechanism of SoS architecture are also provided in detail. An application to a simplified missile intercepting system is investigated to demonstrate the practicability of the developed approach.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: System of Systems, Architecture, Hybrid System, Coloured Petri Net.
Measuring
E-Learning Web-based Application Usability
by Thair M.
Hamtini, Amjad A. Hudaib
Vol. 7. n. 1, pp. 67-73
Abstract - Internet-based educational programs have become extremely commonplace and are implemented by both academic institutions and companies locally and world-wide. The growth in the utility of the internet as an educational tool has led to the need to evaluate the usability of e-learning environments [1]. This study represents a comparative examination of two of the most popular usability tools—heuristic and end-user evaluation. For the purposes of this study, three experts were utilized for the heuristic evaluation portion and end-user satisfaction questionnaires were administered to 122 end-users from King Abdullah II School for Information Technology at the University of Jordan. The findings of this study reveal that the website received a more of a favorable rating from the heuristics experts than it did from the end-users. However, the usability rating for both the end-users and the expert evaluators were within the range of acceptability. The implications of this are such that with increased and extended use of an e-learning environment, many problems become evident to its end-users. These problems are not readily assessed by heuristics experts as end-users and experts rate the usability of a website utilizing different standards.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: E-Learning, End-user Evaluation, Heuristic Evaluation, Usability.
Fractal
Integration Ability of Supply Chain Based on Fuzzy Mutation Series Evaluation
Model
by
Wenfang
Sun, Guangchun Fu
Vol. 7. n. 1, pp. 74-82
Abstract – Organization structure and knowledge of supply chain are integrated by fractal methods, and entropy evaluation models of integration are built respectively. Then, establish the fuzzy mutation series evaluation model by taking integration entropy of supply chain as control variables to analyze and assess its integration ability required. Moreover, compare the integration ability of GE supply chain in different periods and situational research of GE supply chain to find deficiencies of integration method, and control entropy production during the integration.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Entropy, Fractal Integration Ability, Supply Chain, Fuzzy Mutation Series, Evaluation.
Flow-Based
Scenarios in Mobile Communication Systems and Networks
by
Sabah Al-Fedaghi, Dalal AlZanaidi
Vol. 7. n. 1, pp. 83-91
Abstract - The field
of mobile communication is concerned with such issues as management and
integration of wireless communication and network components, system
support for mobility, computing system architectures for wireless
nodes/base stations/servers, and user interfaces and new applications.
Dynamic modeling in the context of mobile communication refers to
representation of the behavior of the objects and subsystems and the
flow of control among the objects. It includes building graphical
scenarios used for specifying interactions between objects in
communication and networks systems. This paper examines methods of
diagrammatical representation of scenarios. Many types of diagrams are
used for such purpose, notably Message Sequence Charts and UML scenarios
in mobile systems. These methods of scenario representations and their
extensions lack basic features of continuation that characterize the
notion of “scenario”. This paper proposes utilizing a flow-based
methodology as an alternative representation.
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Keywords: Mobile Communication, Wireless Communication Systems, Scenarios, Message Sequence Charts, UML Sequence Diagram.
Efficient
64-Point FFT/IFFT Processor Based on 8-Point FFT Module for OFDM Based WLAN
by
M. Arioua, S. Belkouch, M. M’rabet Hassani
Vol. 7. n. 1, pp. 92-99
Abstract -
High-speed and low-power performances are required in many applications
in OFDM-based wireless broadband communication systems. For this
purpose, it’s essential to develop a high-performance FFT processor to
meet the low cost and real time prerequisites. This paper gives the
details of the development of a novel FFT architecture to be used in
OFDM system and which satisfies the specification of IEEE 802.11a
standard and ETSI Bran. The FFT processor architecture is based on the
DIF radix-2 8-point FFT module implemented in pipeline architecture. The
proposed architecture reduces the multiplicative complexity by using
real constant multiplications. The FFT processor has been implemented in
VHDL code, and simulation results show that this processor can reach low
arithmetic complexity, hence high speed and low power consumption for
OFDM-based wireless broadband communication systems.
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Keywords: FFT/IFFT, FPGA, IEEE 802.11a, OFDM, R2MDC, Wireless Application.
On
the Vulnerability of OFDM Systems to Receiver Impairments
by
Konstantinos B. Baltzis, Vasileios Goulemes
Vol. 7. n. 1, pp. 100-105
Abstract - This paper studies the impact of receiver imperfections on the performance of SISO and SIMO OFDM systems in terms of uncoded bit error rate. First, we extend previous studies in the literature and analyze in detail the performance degradation due to the combined effect of residual carrier frequency offset, I/Q imbalance and outdated channel state information. The obtained results are further used to determine the severity of the impact of the three impairments on error probability. The differences between SISO and SIMO systems are also pointed out. Secondly, we explore the relation between bit error rate, FFT length and number of data subcarriers and evaluate the degree to which a proper setting of the last two parameters improves system performance.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Bit Error Rate, Diversity, Orthogonal Frequency Division Multiplexing, Receiver Impairments, Wireless Communications.
Follow-Up
of the Lips for a Labial Reading
by
Mohamed Lamine Hamidatou, Mhania Guerti, Samy Ait-Aoudia
Vol. 7. n. 1, pp. 106-112
Abstract - The
purpose of this research work targets the automatic extraction in
real-time, of labial contours of a video sequence, without constraints
of lighting or make-up for the development of one assistance system to
the labial reading. Our study contains two essential steps:
semi-automatic initialization for the extraction of the lips external
contour of the first image of a sequence, and the follow-up of the lips
movements. For that, we based ourselves on algorithms of the
characteristic points determination of the lips, as well as a method of
optimal slope allowing to trace the cubic ones forming the lips initial
contours. For the follow-up of the characteristic points, we adapted a
method of mapping. The minimization of the errors of follow-up is made
by an algorithm of retiming in order to follow suitably the lips
contours. Finally to make sure of the performance of our algorithms; we
tested them on a variety of speakers. The results obtained showed the
rigor of our algorithms.
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Keywords: Labial Contours, Follow-Up, Characteristic Points, Method of Mapping, Retiming.
New
Supervised Class Imbalance Method for Highly Imbalanced Video Data
Classification
by Ziti
Fariha Mohd Apandi, Norwati Mustapha, Lilly Suriani Affendey
Vol. 7. n. 1, pp. 113-121
Abstract - As more
information sources become available in digital video, there is a need
of technique to identify the interesting rare event and mining
information from video. In this work, we proposed a new supervised class
imbalance method for addressing the challenges posed in rare or class
imbalance event detection, where the irrelevant information dominate the
detection model and give the poor performance to capture small portion
of targeted event from huge amount of video data. The proposed method
tackles this issue by combining the strength of principle component
analysis and weight linear analysis to alleviate imbalanced dataset and
give a great influence to the classifier. Specifically, a set of
algorithms are developed for filtering the counterpart of data instances
and generating the refined potential instances. Then, the filtered data
are fed into C4.5 classifier to construct the decision model. To
evaluate the performance of the proposed method, several experiments
using 27 soccer videos dataset with various production styles and
different audiovisual was implemented. The results are promising and
demonstrates the proposed method is able to improve classification
performance in imbalanced video data when collaborates with detection
model.
Copyright © 2012 Praise Worthy Prize S.r.l. -
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Keywords: Imbalanced Data, Video Data, Classification, Event Detection, Data Mining.
Subspace-Based
Learning for Face Retrieval
by M. Alarmel
Mangai, N. Ammasai Gounden
Vol. 7. n. 1, pp. 122-131
Abstract - In this paper, a subspace-based clustering method is presented for Content-Based Image Retrieval (CBIR) of faces. The proposed clustering algorithm, which is based on Principal Component Analysis (PCA), generates clusters using hierarchically related low-dimensional, nested eigenspaces. Mahalanobis distance measure has been used for grouping the images into clusters. Retrieval of faces is carried out in two steps – classification and image matching. The clusters generated are used to form the training set of the classifier. A query is classified belonging to the trained clusters, which are at minimum distance to the query. Later the distance between each image from the chosen clusters and the query is evaluated. The relevant images, which are closest to the query, are retrieved. The Subspace Linear Discriminant Analysis (SLDA) algorithm is employed for the classification purpose. The Euclidean distance measure is used for image matching. Several experiments have been conducted using the benchmark data sets such as UMIST and Weizmann Institute Face database having face images with large variations in pose / pose and expressions and the results are presented. Comparison on the performance is made with that of normalized Mahalanobis distance measure-based K-means clustering algorithm for retrieval to demonstrate the robustness of the proposed scheme.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Content-Based Image Retrieval, Eigenvalue Decomposition, Face Recognition, Image Matching, Principal Component Analysis, Subspace-Based Clustering.
Kidney
Region Extraction in Ultrasound Images Based on Gradient Descent Method and
Curvelet Transform-based Enhancement
by Ehsan Jokar,
Hossein Pourghassem
Vol. 7. n.
1, pp. 132-142
Abstract - Extracting the kidney region in an automatic system at a short time is an important factor in the evaluation and recognition of the kidney diseases in the ultrasound imaging. In this paper, a model-based kidney region extraction algorithm is proposed using the shape features and the level set method. In this algorithm, the kidney region extraction is optimized by an energy function based on the image intensity variance. Since there is always an intrinsic noise in ultrasound images, a quadratic function cannot be used as the energy function in the energy function optimization step. So, the optimization methods based on gradient which were proposed in the previous methods can be upgraded. In our proposed optimization method, basic gradient descent and the second partial derivatives of the energy function are utilized to impressively improve the performance of the kidney texture extraction. We use a Curvelet transform-based preprocessing step for improving contrast and noise removal. In this method, a non-linear function optimizes the coefficients of Curvelet transform adaptively. The obtained segmentation results show that our automatic extraction method provide results close to opinion of the specialist.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Image Extraction, Kidney Extraction, FDCT, Texture And Shape Model, Basic Gradient Descent.
A
Novel Decision Level Fusion Algorithm for Dynamic Signature
Identification System
by Ava Tahmasebi, Hossein Pourghassem
Vol. 7. n.
1, pp. 143-148
Abstract - Dynamic signature identification has recently received significant attention, due to its extensive applications ranged from authentication to security. This paper investigates a new algorithm for online handwritten signature identification using fusion of dynamic properties. Hidden Marcov Model (HMM) is applied to three sets of categorized dynamic properties to extract precise compressed features. After analyzing the extracted features, KNN classifier is used for the identification task and a decision level fusion scheme is also proposed to integrate the multi-feature decision level fusion in order to enhance system performance. The signature identification experiments demonstrated the superiority of multi-feature decision fusion to single-feature identification, which concludes in better identification accuracy. The validity of the proposed system is evaluated on SVC2004 signature Database. The proposed method is also compared with several approaches that have been presented in the literature.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Online Signature Identification, Dynamic Features, HMM, KNN Classifier, Decision Level Fusion.
A
Novel Age Estimation Algorithm Based on Texture Features and Curvelet Transform
in Human Face Images
by
Alireza Samadi, Hossein Pourghassem
Vol. 7. n. 1, pp. 149-157
Abstract - Age estimation by using the human face digital images can be considered as efficient method in intelligent systems used for special age class. But, its complications yet make it difficult to estimate the accurate age. In this paper, we propose a novel and efficient algorithm which can estimate human age by using texture features of the human face images. In this algorithm, we apply two steps to remove the system sensibility to intense changes of illumination and contrast. In order to extract the features related to the texture, we apply multi-scale curvelet transform on the human face images. Then by considering the adaptive threshold and calculating the entropy in each of sub-bands in curvelet space, the effective features related to the texture of images are selected. Then, using Principle Component Analysis (PCA), the dimensions of features are reduced. Finally, a neural network classifier classifies the extracted features based on various ranges of age. The proposed algorithm is evaluated on 102 images of FG-NET aging database. The obtained results show that mean absolute error of the age estimation (MAE) is 3.87 year.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Human Age Estimation, Texture Features, Curvelet Transform, Equalized Intensity Method, Adaptive Correction Function.
Flashover
Phenomena Prevention during GIS Installation Using Image Processing Technique
by M. F.
Agos, N. A. Muhamad
Vol. 7. n. 1, pp. 158-161
Abstract - This paper discuss on developing particle detection system for High Voltage (HV) Gas Insulated Switchgear (GIS) using image processing in order to prevent flashover phenomena. The borescope is inserted to newly assembled switchgear to detect any existing particles inside the GIS enclosure. The system was designed to detect various sizes and shapes of the particles. The in-lab tests were conducted on simulated GIS to detect samples particles placed inside the unit. As a result, the detected particle will be shown on-screen live-view mode and enable user to view inside the GIS and count how many particles ware inside the set. Removing the particles can be done before the set were installed with the insulated gas. This method is highly suggested for every first installation of the GIS on site as it could reduce the chances for flashover occurred on HV GIS.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Computer Vision, Flashover Prevention, Gas Insulated Switchgear, Image Processing Engineering, Particle Detection.
Integration
Platform of Information Flow of Supply Chain Finance
by
Wenfang Sun, Guangchun Fu
Vol. 7. n. 1, pp. 162-165
Abstract – Based on the complexity of information flow in supply chain finance, adopt Internet Technology to establish integration platform of information flow of supply chain finance on various target customers in supply chain, and integrate modular office automation system, logistics management system, business flow management system and banking information system in supply chain finance, to share information to a greater extent and the wider target audience. Meanwhile, rely on the practices of supply chain finance of Baoshang Bank through the combination of theory and practice, and empirical research by establishing integration platform of information flow of supply chain finance, create value for all parties, and reduce supply chain risks in the financing process.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Supply Chain Finance, Information Flow, Integration.
Context-Aware Middleware for Services Retrieval and Adaptation
by
M. Madkour, A. Maach, D. Elghanami
Vol. 7. n. 1, pp. 166-176
Abstract – Pervasive information systems is an emerging concept of information systems where information technology is gradually embedded in the physical environment, capable of discovering users needs and recommending them most appropriates services in adaptable manner. To do so, Pervasive information systems differ from desktop information systems in that they provide new means of interaction with context and can generate new context-aware services. One of the main requirements on the pervasive systems is automatic adaptation without much need for user’s interaction. In this vision, the context-awareness is a key requirement in a pervasive system as it enables an application to adapt to his current situation. Although the context sensitive services present an exciting realm where intelligent devices interact within the background of the environments to create a more intuitive experience for their human users, and consequently to ensure a certain level of QoS. However, due to the vast heterogeneity of services and devices as well as the highly dynamic character of pervasive environments decisions regarding the best possible combination of services which fulfils the user’s need is a challenging concern. This project presents context-aware middleware that handles a context aware processing and manages the service adaptation and provisioning, it offers a sophisticated mechanism in firstly matching user with appropriates services and then adapting automatically theses services without much need for user’s interaction.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Context Awareness, Ontology Modeling, Ubiquitous Computing, Context-Aware Service Provisioning, Context-Aware Service Adapting.
Downlink
Scheduling and Resource Allocation with Rate Constrains for Multi-user
OFDMA System under Partial CSI
by
Jiping Li, Shixun Wu, Shouyin Liu
Vol. 7. n. 1, pp. 177-184
Abstract – In this
paper, a downlink scheduling and resource allocation scheme with maximum
and minimum rate constrains for multiuser single-cell orthogonal
frequency division multiple access (OFDMA) system under partial
(imperfect) CSI is investigated. Our scheme aims to maximize the system
throughput while keeping long term fairness in terms of throughput among
users and satisfying users’ quality of service (QoS) requirements in
terms of minimum rate. Under partial CSI, there is a nonzero outage
probability that the assigned rate at the particular subcarrier/user
pair will not be supported by the true channel realization, which may
lead to significant waste of the system’s radio resources, so the
assigned rate should be less than the maximum rate, which is related to
the system’s target outage probability. The minimum rates, which are
determined by the users’ average packet arrival rates and queue capacity
according to M/D/1/B queue model, are used to satisfy users’ QoS
requirement. The proposed scheme consists of two phases. The first phase
performs joint scheduling and subcarrier allocation and the second phase
carries out power adjustment among subcarriers allocated to the
maximum-rate-satisfied users to save power to users whose maximum rates
are not satisfied. Simulation results show that our scheme achieves
higher throughput compared with multicarrier proportional fair (MPF)
scheme, realizes the highest mean system fairness and keeps the average
outage probability of users at low level in the presence of partial CSI.
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Keywords: Downlink Scheduling, Resource Allocation, Quality of Service (Qos), Partial Channel State Information (CSI).
Design
of Braille Alphabet Display for Persian Texts Using Thermal Cells with
Capability of Connectivity to Computer
by
Hamid Tabatabaee, Seyed Mohsen Zabihi
Vol. 7. n. 1, pp. 185-190
Abstract – Nowadays,
many people are blind or can’t see well and suffer from problems of
communicating to the outside world. Blind people should be familiar to
Braille alphabets to communicate with others in written form. Many
electronic devices have been designed and invented to help these people
interact with computer and the internet in the communication world.
Braille alphabet display is one of these devices and should have some
specifications such as portability, low price and desired quality that
can be used for all blind people. But according to some reasons, none of
them could be useful and practical for all blind people. In this paper,
we presented a new method that is used for designing and inventing a
Braille alphabet display that is a full electronic device. It can also
be connected to computers and translate digital Persian texts to Braille
and show the characters on the display. This device is made of thermal
cells unlike the previous ones. An AVR microcontroller that is the main
part of this device is used to do all tasks like refreshing the display,
reading input keys and connection to the computer. So these people can
have access to many digital texts using this device that has low price
and everybody can afford and use it easily. Finally, we tested and
evaluated this device by some blind people and the real results approved
its performance and efficiency.
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Keywords: Component, Display, Braille Alphabet, Thermal Cells, AVR Microcontroller.
Evaluation
of Three Classification Methods for Random Tiles Defect Detection
by
A. Fathi, S. A. Monadjemi, F. Mahmoudi
Vol. 7. n. 1, pp. 191-196
Abstract – One of
the most important problems in random tiles defect detection is the
selection of a suitable classification method. In this article an
appropriate method was proposed for defect detection by comparison of
three existing methods for classification on the extracted features
space. The suggested method is based on the combination of wavelet
transform and co-occurrence matrix. Supervised classification methods
are more efficient than unsupervised and distance-based methods due to
training with similar samples from the test images of random tile
texture. The results indicate, both visually and computationally, that
the supervised classification by using combination of wavelet transform
and co-occurrence matrix is more capable for random tiles defect
detection.
Copyright © 2012 Praise Worthy Prize S.r.l. -
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Keywords: Random Tile, Defect Detection, Supervised Classification, Unsupervised Classification, Distance-Based Classification.
Cryptanalysis
of Yoon et al.'s User Friendly Authentication Scheme with Anonymity for Wireless
Communications
by
Hongbin Tang, Xinsong Liu
Vol. 7. n. 1, pp. 197-200
Abstract - An anonymous user authentication scheme allows the user and the remote server to authenticate each other, and should preserve user anonymity. In 2011, Yoon et al. proposed a user friendly secure anonymous authentication scheme for wireless communications. They claimed that their scheme was more secure and efficient than the previous schemes. However, we demonstrate that their scheme is vulnerable to lost smart card attack and impersonation attack. Moreover, it does not provide user anonymity and perfect forward secrecy properties. Thus it is not feasible for real-life implementation.
Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Password, Anonymity, Authentication, Protocol, Cryptography.
International Review on Computers and Software - Papers- Part B
Example-based
Single Image Superresolution Using Support Vector Regression
by
Jiali Tang, Jianmin Zuo, Xiangjun Chen, Chenrong Huang
Vol. 7. n. 1, pp. 201-205
Abstract –
Example-based superresolution algorithms reconstruct the high frequency
information of high-resolution images by learning prior knowledge.
However, these methods need to run though all the sample set, which
results in high calculation load and image degradation because of mis-matching.
In this paper, we propose a new image superresolution algorithm based on
support vector regression (SVR) pre-classified learning. Before the
prediction, we select the subset of sample database which has similar
texture feature with the object image. The pre-classification process
ensures the content relevance between the sample patch and the input
low-resolution image. In addition, it reduces the mis-matching greatly
and improves the program running speed in the meanwhile. The experiment
results show that the proposed algorithm gets better reconstruction
performance than the traditional example-based algorithms.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Superresolution, Support Vector Regression, Texture Feature, Example-based Algorithm.
Detection
and Analysis of Real-time Signals Generated by Abrasive Waterjet Cutting
by
Guilin Yang
Vol. 7. n. 1, pp. 206-210
Abstract – As an
emerging technology, abrasive water jet machining technology has many
advantages more than other machining technologies. This paper brings
forward a new method of using characteristics of the signals to
determine the abrasive waterjet cutting performance, a acquisition and
analysis system of real-time signals generated by abrasive water jet
cutting is built basing on waterjet equipment, VB and Matlab. The
results show that using signals generated by abrasive waterjet cutting
is feasible to determine the quality of the cutting. The highest
pressure are found to yield decreased surface roughness than lower
pressure and medium pressure, medium abrasive flow rate are found to
yield decreased surface roughness than lower abrasive flow rate and
highest abrasive flow rate, using single mesh abrasives, a practitioner
not only can cut faster but also achieve reduced surface roughness.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Abrasive Water Jet, Cutting Quality, Real-Time Signal, Data Simulation.
Effects
of Breathing on Dose Distribution in Heavy-ion Radiotherapy Based on Medical
Image Processing
by
Yangping Wang, Jianwu Dang, Xiaogang Du
Vol. 7. n. 1, pp. 211-216
Abstract – Heavy ion
dose distribution is sensitive to anatomic changes and tissue motion due
to high dose concentrated on Bragg peak with high relative biological
effectiveness (RBE). During treating target sites especially in lung
cancer cases, breathing motion may result unintended variations in the
dose distribution. Based on image registration, segmentation and
pseudo-color algorithm, the work conducts a study on the calculation and
visualization of the heavy dose distribution for 3D superimposed
conformal irradiation and dose evaluation. Then the paper investigates
the respiratory motion effects on the dosimetric redistribution on
target and critical tissues during heavy ion radiotherapy. In our
experiments, ten patients have been undergone routine free breathing CT
scan, two additional CT scans at the end of inspiration and the end of
expiration. The results have showed that clinical target volume (CTV)
coverage is compromised markedly due to respiration. The paper suggests
a real-time respiratory gating system and adjustable dramatic multi-leaf
collimator should be adopted in lung cancer cases for heavy ion
radiotherapy with small CTV-to-PTV margin.
Copyright © 2012 Praise Worthy Prize S.r.l. -
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Keywords: Heavy-ion Radiotherapy, Medical Image Processing, Dose Distribution Calculation, Respiration-Induced Motion.
An
Efficient Evaluation Model for E-learning Behavior Comprehensive Analysis
by
Jianting Li, Haoming Wang, Xiao Ma
Vol. 7. n. 1, pp. 217-222
Abstract – Based on
the analysis of student’s E-learning behavior in XI’AN University of
Finance and Economics as well as the existing E-learning evaluation
system, the index system of non-quantitative evaluation, a comprehensive
evaluation model for the student’s E-learning behavior analysis is
built. We also explored the selection of the evaluation indexes, and the
process of the evaluation results in the E-learning environment. The
weights of evaluation indexes are determined by the hierarchy analysis.
The 2-level evaluation system of E-learning behavior passed the
consistency test. Meanwhile, the comprehensive evaluation standard of
E-learning is given. The evaluations are utilized as timely feedback of
learning behaviors, or the guidance of improvement to the E-learning
students. Our experiment indicates that the evaluation index system in
this paper fits the E-leaning system in XI’AN University of Finance and
Economics. It can be a value reference for the other E-learning
evaluations as well.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: E-learning Behavior, E-learning Evaluation, E-learning Evaluation Index, Analytic Hierarchy Process, Web Data Mining.
Conversion
Interface Design for Different Field Bus Protocols
by
Hao Zhang, Jiongzhao Yang, Zhongkui Sun, Guohuan Lou, Wensheng Shi
Vol. 7. n. 1, pp. 223-227
Abstract – Since the
birth of field bus, it has become development and research focus of
automation technology, it is known as Local area network (LAN) of the
automation. However, field bus standards are not uniform at present,
which brings many difficulties to different industrial control
equipments from different manufacturers to connect their devices to
others. Currently, due to various kinds of field bus, it is very
important to develop a bus conversion device. Profibus-DP and Controller
Area Network (CAN) bus are two completely different buses which have a
wide range of application areas, but the bus protocols (link layer and
application layer) are totally different. In order to make two bus
devices achieve data exchange, it is necessary to design conversion
methods for data link layer and application layer protocols
respectively. The conversion interface, designed in this paper, can
satisfy this function greatly.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Field Bus, Protocol Conversion, Conversion Interface.
Complex
Modulation Method based on PSK and ASK
by
Guangchun Fu, Yansheng Yang
Vol. 7. n. 1, pp. 228-233
Abstract –
Amplitude-shift keying (ASK) modulation method is simple, but the
performance is poor and the bit error rate is high. PSK modulation
method is also relatively simple, but its good performance, the bit
error rate is low. Because of the phase error existence, Differential
phase-shift keying (DPSK) is widely used instead of phase-shift keying (PSK)
in practice. This paper presents a new complex modulation method which
absorb advantages of ASK and PSK which characteristics of the simple ASK
and PSK excellent performance. It can effectively solve the problem of
PSK phase error, by use of the ASK and PSK advantages. It is each
separated by a fixed several coding, and then a corresponding first code
from the PSK modulation changes the ASK modulation. The theoretical
analysis show that, this method can solve the phase error; the error
rate is relatively between of the ideal PSK and ASK.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Complex Modulation, phase-shift keying, Bit Error Rate.
Throughput
Capacity of Hierarchical Wireless Sensor Networks
by
Genjian Yu, Kunpeng Wen, Huibin Feng
Vol. 7. n. 1, pp. 234-240
Abstract – In this
paper, we investigate throughput capacity theories of Hierarchical
Wireless Sensor Networks (H-WSN). Firstly, we introduce the structural
protocol model, node mobility tracking model and conflict graph model of
H-WSN. Secondly, we give some fundamental definitions about conflict
graph and conflict event. Thirdly, a fundamental theorem about graph
theory is given, and then the throughput capacity is turned to the
problem that can be translated into linear constraints system, and can
be gotten by finding the feasible solution of linear system. Finally, we
propose and prove a critical inequality of throughput capacity of H-WSN.
We also propose and prove a gradual probabilistic quality and the
specific expression of expectant availability of throughput capacity of
H-WSN. The results enrich the theory of some famous conclusions about
throughput capacity and the information theory of wireless networks.
Copyright © 2012 Praise Worthy Prize S.r.l. -
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Keywords: Hierarchical Wireless Sensor Networks, Throughput Capacity, Information Theory, Conflict Graph.
An
Improved Fuzzy C-Means based on IPSO
by
Zhonghou Zhang, Shuang Liu, Changpeng Ji
Vol. 7. n. 1, pp. 241-245
Abstract – Two
problems affect the clustering capacity of the fuzzy C-means clustering
algorithm: one is the selection of initial cluster centers, which has
great influence on the performance. The other one is easy to fall into
local optimum. The improved FCM (Fuzzy C-Means) based on IPSO (Improved
Particle Swarm Optimization) is proposed to overcome these two problems.
The improved PSO can be used to solve the initial cluster centers, and
it also can solve the local optimum problem combined with Suganthan PSO
(Particle Swarm Optimization) model of neighborhood operations. The
efficiency of particle swarm optimization algorithm has better
performance, and the new update strategies improved the performance of
PSO. The algorithm has a good global convergence, which ensures the
diversity of population and overcomes the fuzzy C-means clustering
algorithm deficiencies.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Fuzzy C-Means, Cluster Algorithm, Particle Swarm Optimization.
Near-Threshold
Flip-Flop Standard Cell Embedded in Commercial Standard-Cell Libraries
by
Jianhui Lin, Jindan Chen, Jianping Hu
Vol. 7. n. 1, pp. 246-251
Abstract – With the
increasing demand for battery-operated mobile platforms like laptops,
wireless sensors, and biomedical applications that require ultra-low
energy dissipations, energy-efficient designs have become more and more
important in nanometer CMOS circuits. Near-threshold computing for CMOS
circuits can respectively reduce both dynamic and leakage power
dissipations. In this paper, a near-threshold flip-flop standard cell is
developed and embedded into commercial standard-cell libraries. The
near-threshold standard cell is optimized to achieve low energy delay
product (EDP). The flip-flop standard cell is optimized to achieve low
EDP. The layout, abstract design, and standard-cell characters of the
near-threshold flip-flop are described. A 4-bit shift register is
verified with the proposed standard cell by using commercial EDA tools.
The results show that the proposed standard cell based on near-threshold
computing is a good choose in term of EDP.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Near-Threshold Computing, Electronic Design Automation, Low Power, Standard Cell, Flip-Flop.
Digital
Usability Evaluation Methods for Work Space
by
Qiuhui Wang, Yajun Liu, Aihui Yang
Vol. 7. n. 1, pp. 252-256
Abstract – Usability
testing on dimensionality of work space is carried out based on
Rhinoceros design platform. By putting two-dimensional digital human
body model into virtual work space, this paper put forwards methods of
usability evaluation for work space and environmental facility to verify
feasibility of feature users’ work space and environmental facility
dimensionality. The evaluation methods will provide theoretical evidence
for dimensionality design of work space and improve congruence of work
space and effectiveness of design. It is put two-dimensional digital
human body model in the National Constructional Standard Picture-Old
People’s Kitchen and Wash Room Facility Space. Evaluation and
verification on old People’s Kitchen and Wash Room Facility at P1, P5,
P50, and P90 is completed for the analysis on height of water closet,
nappy, and cooking bench to test the usability of work space and
environmental facility scale.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Two-Dimensional Digital Human Model, Work Space, Usability Evaluation.
Qualitative
Analysis Methods of Judging the Variable Correlation Served for Program
Assertion Detection
by
Shukun Liu, Jifeng Chen
Vol. 7. n. 1, pp. 257-262
Abstract – Nowadays,
software quality is becoming more and more important. In order to
improve quality of software, people has researched many respects of
program such as software developing methods, management of software
development process, software developing tools ,etc. DBC (Design by
contract) is a very important method which is often used to improve
quality of software. Programmers can analyze the associate-attributes in
programs and achieve the detecting of contracts by dynamically
discovering technology. Discovering contracts is a very difficult task.
In order to reduce the time spent on detecting contracts, many methods
have been used. In this paper, a typical thinking of improving detecting
efficiency is introduced. And two main methods of detecting the
correlation of variables are showed too. In this way, program contracts
can be discovered in a flexible way. During the process of discovering
the contract, the judging of variables correlation plays a very
important role. Great experiments have been done and the results
demonstrate that the methods are obviously reliable and more efficient.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Variables Correlation, Software Quality, Qualitative Analysis.
Rescue
Robot Path Planning based on Hierarchical Fuzzy Theory
by
Fengjun Hu
Vol. 7. n. 1, pp. 263-267
Abstract –
Considering the problem that rescue robot needs fusion of multi sensor’s
data, Fuzzy theory can solve the sensor’s value of uncertainty. An
intelligent control method based on fuzzy theory is designed. By fuzzy
theory robot realizes multilayer control: the first layer is the robot
velocity control; the second layer is the robot steering angle control;
and the third layer is the photosensitive sensor control. The robot uses
sensors to detect surrounding environment, and precisely measured data
are mapped into fuzzy domain. It establishes fuzzy control input and
output variables of the membership functions, using the weighted average
method for multi-sensor data fusion and fuzzy decision. Finally, through
experiments it can prove the feasibility and effectiveness of the
algorithm. The robot can effectively avoid obstacles and search target.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: The Hierarchical Fuzzy Theory, Multi Sensor, Data Fusion, Path Planning.
The
Application in Train Operation Adjustment Based on Three Swarms
Cooperative-particle Swarm Optimization Algorithm
by
Xiaoping Guang, Yongsheng Qian, Junwei Zeng, Min Wang, Xiaoyan Guo
Vol. 7. n. 1, pp. 268-274
Abstract – Train
Operation Adjustment is the way and means to reduce or eliminate the
influence when train operation departs from the train working diagram or
disorders. It is taken when trains operate, so it is quite
time-sensitive. Based on the basic principles and methods of train
operation adjustment, this paper designs a model of train Operation
Adjustment on Double-line Fixed Autoblock Railway and establishes Three
Swarms Cooperative-particle Swarm Optimization Algorithm(TSC-PSO) to
solve. It improves the time-sensitive of the model solution. So it can
play a very good decision-making role in Train Operation Adjustment.
Copyright © 2012 Praise Worthy Prize S.r.l. -
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Keywords: Particle Swarm Optimization Algorithm, Train Operation Adjustment, Double-line Railway, Fixed Autoblock.
Simplified
Output Feedback Stabilization for Time-Delay Interconnected Systems Based on
Dynamic Surface Control
by
Tao Guo, Aimin Wang
Vol. 7. n. 1, pp. 275-282
Abstract – In this
paper, the simplified adaptive fuzzy decentralized stabilization problem
is investigated for a class of output-feedback large-scale nonlinear
systems with unknown time-varying time-delays and interconnections.
Through synthesis and induction, only one fuzzy logic system is needed
in each subsystem to approximate the unknown functions with same
argument, so that the controller structure is simpler than the existing
results. Both the observer and the controller are independent of the
unknown time delay. It is proved that the proposed design approach is
able to guarantee semi-global uniform ultimate boundedness (SGUUB) of
all signals in the closed-loop system, with arbitrary small error by
appropriately choosing design parameters.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Dynamic Surface Control, Fuzzy Logic System, Time-Delay, Large-Scale System.
LS-SVM
Soft Sensing Based on Hybrid Particle Swarm Optimization
by
Yingwei Li, Peipei Ma, Lina Yu
Vol. 7. n. 1, pp. 283-290
Abstract – In order
to solve the problems of poor global convergence and falling into local
optimum easily in Least Squares Support Vector Machine (LS-SVM) soft
sensing, an improved hybrid particle swarm optimization algorithm is
proposed. This algorithm combines crossover and mutation operation with
speed-displacement formula, and optimizes the regularization parameter
and the kernel function parameter in LS-SVM. On the basis of this hybrid
particle swarm optimization algorithm, a LS-SVM soft sensing model is
established to measure the flowrate of oil-gas-water three-phase flow.
The experiments has been performed in three-phase flow simulation test
device and the results have been compared with genetic algorithm,
particle swarm optimization algorithm, ant colony optimization algorithm
and traditional LS-SVM algorithm. The analysis demonstrates the hybrid
particle swarm optimization algorithm is superior to the other
algorithms, and it is an effective method for LS-SVM soft sensing.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Swarm Intelligence Algorithm, Hybrid Particle Swarm Optimization, Least Squares Support Vector Regression Machine, Soft Sensing.
Research
on Oracle Bone Inscriptions Machine Translation based on Example
by
Jing Xiong, Feng Gao, Yongge Liu, Qingsheng Li
Vol. 7. n. 1, pp. 291-296
Abstract – Oracle
Bone Inscriptions (OBI) refers to incised ancient Chinese characters
found on oracle bones, which are animal bones or turtle shells used in
divination in Bronze Age China. The vast majority record the pyromantic
divinations of the royal house of the late Shang dynasty at the capital
of Yin. OBI is the earliest and complete system ancient Chinese
characters. It has very important research merit. With the development
of computer and information technology, digitization processing of OBI
becomes an important aspect in current digitization processing of
ancient Chinese font. For information researchers, the study object is
OBI sentences added punctuation marks by experts, but it is also a heavy
and difficult work processing these sentences. In order to reduce the
burden of OBI experts and the research difficulties in the OBI
information processing, reusing and managing the existing OBI knowledge,
an example-based machine translation (EBMT) method is proposed. The
advantages of EBMT for OBI are analyzed, and an example library building
method based on OBI-Chinese parallel corpus is introduced. Firstly, the
basic construction steps of bilingual parallel corpus are analyzed.
Secondly, the processes and key technologies of EBMT for OBI are
studied. Finally, a machine translation system is developed to verify
the proposed method. Experimental results show that the target sentences
obtained by the machine translation can meet the demands of information
technology researchers.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Oracle Bone Inscriptions, Bilingual Parallel Corpus, Sentence Similarity.
An
Image Inpainting Approach Based on Fractal
by
Zongwen Bai, Meili Zhou, Weihu Zhang , Yongdong Song
Vol. 7. n. 1, pp. 297-300
Abstract – An image
inpainting algorithm based on fractal and image decomposition is
proposed in this paper. The image is decomposition into structure and
texture, which are processed respectively according to their
characteristic, structure element is inpainted by Curvature-Drive
Diffusions (CDD) algorithm. Texture information propagation is achieved
by fractal dimension, which is a single, efficient algorithm. Experiment
results show that the effectiveness of our algorithm in removing large
occluding objects as well as thin scratches is better than others. And
robustness with respect to the shape of the manually selected target
region is strong.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Image Decomposition, Fractal Dimension, Curvature Drive Diffusions, Image Inpaint.
Computer
Aided Process Planning System Design Based on Semi-Generative
by
Zhendong Mu, Huabo Xiao
Vol. 7. n. 1, pp. 301-306
Abstract – Because
of the complex operation and low intelligence, the current computer
aided process planning system can not meet the needs of many varieties
of small batch production. By combing describing the parts and encoding
the parts, this paper establishes a 20-bits hybrid coding system. Then
used the theory of data reduction and successful case derive the rule
base. By utilizing the method designed in this paper, we test the
samples of the following cases, which are finishing the hole (black
metal), finishing the hole (non-ferrous metals), super finishing the
hole and the hole semi-finished. The test results show that the proposed
scheme can achieve the purpose of processing methods automatic
selection.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Semi-Generative, Computer Aided Process Planning, Data Reduction.
Quantity
Effectiveness Analysis of Information Diffusion Based on Network Dimension-force
by
Zhibin Liu, Jinlou Zhao, Jiannan Yu
Vol. 7. n. 1, pp. 307-313
Abstract – Basic
hypotheses are determined firstly according to network original
characters and the realistic state of network information diffusion.
Then based on above hypotheses network topological structure in ideal
state is analyzed firstly to get diffusion power-law exponent, with
which diffusion quantity effectiveness is quantitatively described based
on network dimension-force. Then considering realistic state, loss of
diffusion quantity effectiveness is described and proved using
non-homogeneous Poisson process. On this basis, we determine information
saturation as measurement index and establish information quantity
effectiveness model comprehensively. Simulation is performed with
realistic click-through data of one website, and confirms the
effectiveness of the established model.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Network Dimension-force, Information Diffusion, Quantity Effectiveness, Network Topological Structure, Non-homogeneous Poisson Process, Information Saturation.
Boolean
Evaluation for Interactive Genetic Algorithms and Its Fatigue-Reduction Effects
in Product Optimization Task
by
Yan Sun, Xiaojian Liu, Xiaodong He
Vol. 7. n. 1, pp. 314-321
Abstract – The
fatigue during user’s evaluation is the key factor that influences the
efficiency and quality of interactive genetic algorithms (IGA).
Considering the multi-subjects and vast user information required by the
product innovation projects which will result in more user workload, a
Boolean evaluation method based on user selections is proposed in this
paper. The algorithm gains efficiency and low user fatigue with the
unnecessary precision as trading off, taking into consideration of the
inherent noise in user’s evaluation criterion. An incomplete sequential
selecting evaluation method is developed on the basis of Boolean
evaluation method to improve the evaluating precision, and an estimating
model is established through extra random generations and the genes’
sensitive factors. A fusing algorithm is applied to fuse user’s
selection and model estimation for better efficiency and solution
quality. The method is tested with comparison to existing methods in an
example of product shape optimization, and its practicability is proved.
The test also proved its economical efficiency compared with traditional
grading method which has superfluous precision.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Interactive Genetic Algorithms, Fatigue-Reduction, Product Optimization.
A
Study on the Optimizing for Interview Questions
by
Liang Ma, Haiying Sun
Vol. 7. n. 1, pp. 322-325
Abstract –
Interviewing is a subjective work. In order to ensure fairness, this
paper put forward a new way of solving the questions by simulating in
computing languages. Main thoughts are as follows. Firstly, we designed
an algorithm to support our analysis. And then put forward a model to
reflect the questions with the idea of mathematical modeling,
subsequently, we studied the actual case with the model. Some analysis
and verifying are in the fourth part which is based on the thoughts of
linear algebra. By this, we have verified the balance of the interviewed
students and the balance of the interviewing teachers. Using the AHP, we
made the consistency check as well. Lastly, we raised some optimization
methods. What this paper does show, however, is that the computing
simulation and mathematical modeling are capable of solving observed
sociological behavior.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Interview Questions, Filtering Algorithm, Mathematical Modeling, Optimizing.
On
the Modeling of Abrasive Waterjet Cutting Steel Based on ANN
by
Guilin Yang
Vol. 7. n. 1, pp. 326-330
Abstract – Abrasive
water jet (AWJ) cutting has now been widely accepted by the machine shop
over the world and its advantages are well known. AWJ cutting process is
very complex and involves more variables than a conventional machining
process. On the other hand, there are typically nonlinear relationships
among the variables; therefore it is more difficult to build the model
of AWJ cutting theoretically. In this paper, Artificial Neural Network
(ANN) was adopted to model AWJ cutting process based on experimental
data. It was showed that ANN model for AWJ cutting can be better
prediction of AWJ cutting performance than that of theoretical or
semi-empirical model. As the result of the study, precise machining
using AWJ can be performed.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Abrasive Waterjet, Cutting 45 steel, Artificial Neural Network, Data Simulation.
Diagnosis
of Supply Chain’s Reliability Based on Common Cause Failure
by
Guohua Chen, Genbao Zhang, Jihong Pang
Vol. 7. n. 1, pp. 331-336
Abstract – The
diagnosis of supply chain based on common cause failure is a complex and
important problem. To study failure mode diagnosis of supply chain based
on common cause failure, the idea that GO methodology is introduced into
the reliability analysis of supply chain system is brought forward.
Through analyzing every important factor leading to success of supply
chain system detailedly and taking three-tier supply chain as the
object, the GO model of reliability diagnosis of supply chain based on
common cause failure is found. It can not only calculate accurately
reliability of supply chain based on common cause failure, but also
identify its failure mode and calculate its importance, which provides a
way for diagnosing and improving supply chain based on common cause
failure. Lastly, the example is presented to prove the method’s
feasibility and validity.
Copyright © 2012 Praise Worthy Prize S.r.l. -
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Keywords: Diagnosis, Supply Chain’s Reliability, Common Cause Failure.
Discretization
of Nonlinear Time Delayed Multi-input System using First Order Hold with Scaling
and Squaring Technique
by
Yuanliang Zhang, Guangchun Fu
Vol. 7. n. 1, pp. 337-343
Abstract – The time
delay is always existent in the practical systems. Analysis of the delay
phenomenon in a continuous time domain is sophisticated. It is
appropriate to obtain its corresponding discrete time model for
implementation via digital computer. This paper proposed a new scheme
for the discretization of nonlinear systems with time delayed
multi-input using Taylor series expansion and the first order hold (FOH)
assumption. In the case of slow sampling rates, the order of the Taylor
series must be chosen as a very big one in order to obtain the accurate
discretization results. This will increase the computational burden
largely. In this paper a hybrid discretization scheme are proposed under
conditions of very low sampling rates. The proposed hybrid
discretization scheme combines the scaling and squaring technique (SST)
with the Taylor method. By applying SST, the proposed method can provide
good enough discretization results in the case of slow sampling rates
without increasing the computational burden largely. The performance of
the proposed discretization procedure is evaluated using a nonlinear
system. For this nonlinear system, various sampling rates and time delay
values are considered.
Copyright © 2012 Praise Worthy Prize S.r.l. -
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Keywords: Discretization, Time Delay, Multi-input, Taylor Series, First Order Hold, Scaling and Squaring Technique.
Quotient
Space Based Flood Risk Analysis
by
Xuezhen Li, Lizhong Xu, Zhenli Ma, Yanguo Chen, Peijie Huang
Vol. 7. n. 1, pp. 344-352
Abstract – Flood
Risk analysis is one of the key issues for the management of the basin
water resources. It requires knowledge about the spatiotemporal
variability of average precipitation over an area, especially the
extremely heavy precipitation. In this paper, we propose a
multi-granular flood risk analysis method based on quotient space. Daily
grid precipitation dataset, which has a 0.25 longitudinal and
latitudinal resolution, from the National Climatic Centre (NCCC) of the
China Meteorological Administration (CMA) is analyzed to explore the
possible flood condition in the Dongjiang River basin, south China. Two
quotient spaces with different views, including wet/dry granularity and
precipitation intensity granularity, are constructed from the
precipitation time series. Then granularity synthesis theory of quotient
space and the basic properties among different quotient spaces such as
the “false-preserving” and the “true-preserving” properties, are applied
to maximize the analyst's insight into the precipitation dataset, which
can provide decision support for the analysis of potential flood risk.
Copyright © 2012 Praise Worthy Prize S.r.l. -
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Keywords: Quotient Space, Flood Risk Analysis, Precipitation, Multi-Granular.
Urban
Green Development Evaluation Based on Analytic Hierarchy Process and
Unascertained Measure Model
by
Hua Jiang, Jing Yang
Vol. 7. n. 1, pp. 353-363
Abstract –
Environment and development are two major themes which mankind is
facing. Promoting the harmonious relationship between man and nature and
taking the road of green development has become a new model of urban
development. The paper, considering city's scientific development from
the point of energy saving, emission reduction and economic development,
firstly built an evaluation index system of urban green development,
then calculated out the weights of every index using Analytic Hierarchy
Process, and lastly, according to the index system and index weights,
applied Unascertained Measure Model to evaluate the urban green
development of cities of Hebei province in China.
Copyright © 2012 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Urban Green Development, Evaluation Index System, Analytic Hierarchy Process, Unascertained Measure Model.
Transmission
of Wave in Ordered Porous Medium
by
Wenhai He
Vol. 7. n. 1, pp. 364-368
Abstract – Solid
plates arranged periodically in air can constitute one-dimensional
ordered porous. Its transmissivity and band gap are developed based on
Bloch wave number method and transfer matrix method in this paper. The
Bloch wave number of this porous medium is complex and depends on
frequency of incidence plane wave. If the image part of this wave number
is not zero, the transmissivity of plane wave in this medium will be
zero, which is named band gap emerging. Computer simulation results show
that this ordered porous medium exists obvious band gap in a certain
frequency range if its lattice number is equal to or larger than four.
So, it can be used to control vibration and noise. The upper and lower
limiting frequencies of the first band gap increases with the decreasing
of the lattice size. The upper limiting frequency increases with the
thickness ratio of solid to air, but the lower one does not obviously
vary with the thickness ratio.
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Keywords: Bloch Wave Number Method, Transfer Matrix Method, Transmissivity, Band Gap, Ordered Porous Medium.
Support
Vector Machine Based Knowledge Discovery in CBR System
by
Zhiwei Ni, Lichuan Gu, Zhangjun Wu, Chang Zhang
Vol. 7. n. 1, pp. 369-373
Abstract – CBR (case
based reasoning) is a hot research field in machine learning, according
to the bottleneck of knowledge acquisition, the application of knowledge
discovery in case-based reasoning system is studied with the SVM(
Support Vector Machine) methods. The SVM used for rules acquisition in
case base reduces the condition attributes and extracts the features,
and then the complexity and speed of rules acquisition will be improved
with the fewer features. For the confirmation and decision of example
category, a simple decision function can be obtained by using SVM in the
classification in CBR system. The decision function can perform the
category prediction of samples with the similar role of decision-making
rules, and can be much more easily realized than the traditional
methods. The results show SVM for the knowledge discovery in CBR can
achieve the simplicity and high-speed, especially in large scale CBR.
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Keywords: Case-based Reasoning, Support Vector Machine, Knowledge Discovery, Attribute Reduction.
Integrated
Production Planning and Scheduling Model and Algorithm for Permutation Flowshop
by
Qiaoying Dong, Jiansha Lu, Yuankun Gui
Vol. 7. n. 1, pp. 374-381
Abstract – Since the
separation lying in the traditional serial production planning and
scheduling in permutation flowshop, the integrated optimization complete
model of production planning and scheduling based on multiple objectives
and constraints was constructed. The integrated optimization complete
model is difficult to solve, the heuristic approach in full space was
adopt, and a modified discrete particle swarm optimization (MDPSO) was
presented to solve the model in discrete space. The encoding method
suited for discrete code was proposed to avoid the unfeasible solution
and improve the efficiency. A dynamic parameter methods and
self-adaptive escapes scheme were introduced to enhance the diversity of
particles. The simulation studies on a real assembly line with three
algorithms. The experiments verifies the presented model and algorithm
can realize the simultaneously optimization of production planning and
scheduling in permutation flowshop and contribute to the performance
improving and the application scope expanding of the particle swarm
optimization algorithm.
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Keywords: Permutation Flowshop, Production Planning, Scheduling, Integrated Model, Modified Discrete Particle Swarm Optimization.
An
Improvement Anti-Collision Scheme for RFID Reader Based on Pluse Algorithm
by
Lvqing Yang
Vol. 7. n. 1, pp. 382-386
Abstract – Based on
the study of existing reader anti-collision algorithm, this paper first
generally describes the reader algorithm, analyzes the classification
and mechanism of the RFID (Radio Frequency Identification) reader
anti-collision (collision avoidance), discussion and analysis of the
Pluse algorithm theory, and puts forward an improved reader
anti-collision algorithm and its processes. The simulation analysis
shows that the improved algorithm is simple, well able to avoid the
network conflict of RFID reader. In the simulation the improved PLUSE
algorithm is compared with two other reader anti-collision algorithms.
The result indicates that the proposed algorithm has advances in system
input output and efficiency, which verifies the rationality and
effectiveness of the algorithm, providing a way method for the study of
reader anti-collision algorithm based on RFID, which has certain
referencing and extending value in application.
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Keywords: Radio Frequency Identification (RFID), Pluse Algorithm, Anti-Collision.
A
PCNN Based Face Orientation Recognition Scheme
by Hongyan
Zhang, Yan Wang
Vol. 7. n. 1, pp. 387-391
Abstract – The
feature extraction of face orientations is the key of the face’s
orientation recognition. In this paper, four methods including entropy
sequence, logarithmic series, time series, and standard deviation series
based on the Pulse Coupled Neural Network (PCNN) have been introduced to
extract the features of face orientations. Combined with Euclidean
distance method this paper identified different face orientation.
Experiments show that these four methods which based on the feature
sequence of PCNN are effective and feasible, in which the method which
based on the logarithmic series is the best, which can be used to
extract the features of face orientation. The classified results of
logarithmic series which are impacted by salt and pepper have been
analyzed. The method of Euclidean distance has been used to classify and
recognize the face orientations. Based on the sequence of entropy, the
sequence of numbers, time series, and the sequence of standard deviation
of PCNN, this paper analyzed the 5 orientation of the face, and
anti-jamming capability of the method of feature extraction of PCNN with
increased noise. The results prove that the method based on logarithmic
series whose accurate identification rate was 96% has certain anti-noise
ability.
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Keywords: Pulse Coupled Neural Network, Face Orientation Recognition, Feature Extraction, Feature Sequence.
A
Traffic Flow Model for Recovery Time of Railway Traffic Interruption Based on
Echo Wave Theory
by Min Wang,
Yongsheng Qian, Junwei Zeng
Vol. 7. n. 1, pp. 392-396
Abstract – In
railway transportation, traffic interruption has influence on conveying
of the technical operation plan at technical stations, as well as on
passengers' alighting and boarding at main passenger stations. Fast and
reasonable calculating the recovery time after traffic interpretations
is very important for railway dispatch and command work. In this paper,
echo wave theory was creatively introduced to solve the calculation of
the recovery time of railway traffic interruption. The calculation
formula was deduced, and then the influencing factor and determination
method of variables in the calculation formula were analyzed. Finally
through example, the merits and demerits of the formula and its
application scope were analyzed by comparing with the traditional
method. The method proposed put forward a new method to solve the
calculation of recovery time of the traffic interruption.
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Keywords: Traffic Flow, Echo Wave, Traffic Interruption, Dispatch and Command, Recovery Time.
Data
Gathering of WSNs based on Sequential Compressed Sensing and Sparse Sensing
by Xiaoxia
Song, Guangming Shi
Vol. 7. n. 1, pp. 397-402
Abstract – In order
to solve the problem of sensor nodes with limited energy supply in
wireless sensor networks (WSNs), this paper proposes a method to collect
the data of sensor nodes based on sequential compressed sensing (SCS)
and sparse sensing. In the proposed method, the measurement matrix is
generated according to sparse random projection which may save
communication costs, and the data of sensor nodes are collected in the
way of SCS which can reduce communication data. The proposed method can
save the energy consumption of sensor nodes and achieve more reliable
reconstruction results by adding the computations at the sink node.
Experimental results also show that the proposed method can reduce the
energy consumption of sensor nodes and achieve more reliable
reconstruction results without almost reducing reconstruction quality of
the signal, compared with other CS methods.
Copyright © 2012 Praise Worthy Prize S.r.l. -
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Keywords: Wireless Sensor Networks, Data Gathering, Compressed Sensing, Measurement Matrix, Sequential Compressed Sensing, Sparse Sensing.
Construction
of Oracle Expert System Corpus Based on Bayesian Network
by Yanqiang
Ge, Xiangzheng Wang
Vol. 7. n. 1, pp. 403-407
Abstract – This
paper introduces the present situation of the oracle textual Research.
It summarizes the experience of the oracle experts in the past.
Combining with oracle word, text and figure of the trinity, the
characteristics of oracle research methods is given: the textual
structure, the textual context and textual evolution. According to the
assisted reasoning process of oracle textual research, it is used to
construct the Bayesian network of oracle. On this basis, the
constructions of characteristics and attributes corpus are put forward,
and characteristic attributes of corpus establishes the oracle fonts and
rule library. Finally, we design and develop the oracle auxiliary
prototype system based on the construction of oracle corpus.
Copyright © 2012 Praise Worthy Prize S.r.l. -
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Keywords: Textual Research, Bayesian Network, Expert System.
Automatic
Optical Path Planning in SMT Inspection System
by Bin Ren,
Huijie Liu, Lei Yang, Lianglun Cheng
Vol. 7. n. 1, pp. 408-413
Abstract – As the
electronic devices become smaller and the density of device mounted on
the surface of printed circuit board (PCB) becomes bigger, the defect
inspection of surface mounted device (SMD) has become more difficult,
the conventional inspection technology baffled the assembly automation
in speed and ability of inspection, it is Significance to research
automatic optical inspection system. In order to improve surface mounted
technology (SMT) overall system detection efficiency and the speed,
studied deeply on particle swarm optimization (PSO) algorithm, presented
the new modified PSO algorithm for camera path planning. With the
evolution of velocity in the modified PSO algorithm, particle not only
studies from the historical optimum individual of itself and population,
but also studies from the other stochastic individuals with some
probability. The modified PSO algorithm is used to SMT automatic optical
inspection path planning, result shows that, not only modified PSO
algorithm has merits of height accuracy and quick convergence speed, but
also the quantity of inspecting windows of the path planning is the
fewest in this algorithm and the inspecting route is the shortest.
Copyright © 2012 Praise Worthy Prize S.r.l. -
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Keywords: Surface Mounted Technology, Automatic Optical Inspection, Path Planning, Particle Swarm Optimization.
A
Nonlinear Dynamic Adapted Particle Swarm Optimization Algorithm
by Qing Wei,
Zhiguo Bao
Vol. 7. n. 1, pp. 414-419
Abstract – It is
known that the standard Particle Swarm Optimization (PSO) algorithm has
many advantages in some problems that need high speed of convergence.
However, there are also some cases shown that the PSO algorithm cannot
reach the top optimal situation sometimes; therefore, it prevented us to
obtain accuracy solution in the way of fine tuning. Via the analysis on
the influence of average absolute value of velocity of all particles on
search ability of the PSO, a kind of improved particle swarm
optimization is proposed, which has the characteristic of nonlinear
dynamic adaptive velocity variation. To represent the briskness of all
the particles, the average absolute value of velocity is applied as an
index in this proposed improved algorithm. To enhance the search ability
in the multidimensional space, the average absolute value of velocity
changes along with a given nonlinear variation of ideal velocity by
feedback control for tuning inertia weight. Experimental results
represents that the convergence precision and the ability of PSO to
escape the local optima is highly improved in the proposed algorithm.
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Keywords: Particle Swarm Optimization, Average Absolute Value Of Velocity, Nonlinear Dynamic, Adaptive Velocity Variation.
Stress
Field of Ladle Composite Construction Body
by Gongfa Li,
Jianyi Kong, Guozhang Jiang, Liangxi Xie, Siqiang Xu
Vol. 7. n. 1, pp. 420-425
Abstract – Ladle is
an important equipment of the metallurgical industry. Distribution of
thermo mechanical stress in linings has an essential influence on its
life, and the size of its life-span affects the economic benefits of the
iron and steel enterprise directly. In the process of design and
calibration of the large-size ladle, it is of great significance to
determine the stress distribution of each part of the ladle for safely
and reliably running the device. Aiming at the performances of ladle
composite body in service, two-dimensional model of ladle based on law
of finite element method is built, and the influence of thermal
conductivity, thermal expansion coefficient, elasticity coefficient and
thickness of work lining on ladle stress field are discussed. The
calculation results indicate that stress increases with the increase of
thermal conductivity, thermal expansion coefficient and elasticity
coefficient and decrease of thickness. The finite element analysis
results accord with practical operation of ladle. The method is
reasonable and reliable, which can provide some theoretical evidences
for the design and checking of ladle composite construction body.
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Keywords: Ladle Composite Construction Body, Work lining, Stress Field, Finite Element Method.
A
Fast Edge Detection Algorithm Based on Cellular Neural Networks for Road Images
by Guobao Xu,
Shiyi Xie, Yixin Yin, Meijuan Zhou, Shilong Zhang
Vol. 7. n. 1, pp. 426-431
Abstract – Mobile
robot road image edge detection plays an important role in improving the
accuracy of identification for roads image. Taking into account the
real-time requirement for visual navigation of mobile robots, the early
visual segmentation method based on mathematical morphology was studied
in this work. An edge detection algorithm based on cellular neural
networks for processing road images was proposed. The proposed algorithm
can eliminate the influence of salt and pepper noises and cracks on the
edge detection of road images, segment the road region and extract the
road edges quickly and accurately. Therefore, it paves the way for
follow-up mobile robot visual navigation.
Copyright © 2012 Praise Worthy Prize S.r.l. -
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Keywords: Cellular Neural Networks, Edge Detection, Road Image, Image Segmentation, Mobile Robot.
Congestion
Control Algorithms with General Utility Function
by Cao Yuan,
Yaqin Li
Vol. 7. n. 1, pp. 432-437
Abstract – The
mechanisms of Transmission Control Protocol congestion control are
understood as primal-dual algorithms which try to maximize the utility
of Internet. This means optimization theory and control theory should be
both considered for transmission control protocol design. In this paper,
we use control theory to study the local stability of general
primal-dual algorithms which in the presence of general network topology
and arbitrary delay. The analysis result is based on the frequency
response functions of the system and the model of general primal-dual
algorithms. Furthermore, we extend the traditional proportional fairness
of Transmission Control Protocol by adopting general utility function.
At last we present two kinds of congestion control algorithms according
to different stable conditions. Simulation results show that the new
algorithm is stability and achieve scalable fairness.
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Keywords: Transmission Control Protocol, Congestion Control, Utility Function.
Design
of Control Platform Systems Based on Object-Oriented
by Qun Yin,
Jianbo Zhang
Vol. 7. n. 1, pp. 438-442
Abstract – In the
electronic experimental courses of most universities, the functional
board welded by the students themselves are often unable to reuse, which
results a lot of waste of experimental resources. To solve this problem,
we design and develop the simulation control platform system based on
object-oriented in this paper. The designed system uses the concept of
object-oriented, the theory of the component model drawn with the GDI +
graphics technology and the serial port communication method. The system
can abstract and package the electronic components into the objects, and
finally complete the link of software and hardware to achieve accurate
interaction of Software and the experimental board. When students make
the electronic category (such as SCM) experiments, they just need drag
out the packaged modules in the software and assemble them in visual
way. If the circuit is correct, the computer will automatically generate
the appropriate test program. Students just need adjust the test board
jumpers, and then the hardware circuit can work automatically. Thus, the
system has a certain universal control. It can avoid wasting a lot of
experimental equipment, save cost and improve efficiency.
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Keywords: Object-Oriented, Electronic Experimental Course, Control Platform, Experimental Platform.
A
Novel Agent Perception Framework Based on Events Composition Network
by Jing Wang,
Dawei Chu
Vol. 7. n. 1, pp. 443-449
Abstract –
Apperceiving to the environment is the basic attribute of Agent.
Different environment requires Agent to adopt different perception
methods. Message-publishing/subscribing system can offer reliable
asynchronous communication between agents of loose coupling. In this
paper, proceeding from practical angle, we, on the basis of original
Agent conceptual model regard (Java Message Service) JMS
publishing/subscribing system as idiographic environment that Agent
apperceives, and construct a model of the perception body which is
suitable for asynchronism cooperation of Agents. Because of the Agent
character of event driven and the advantage of event communication mode,
the model framework adopts event communication mode, takes event process
as the core and includes event obtain module, event filter module and
event process module. It also advances a reticulate event composition
mechanism to solve the problem of the synthesis of compound events. The
Paper gives the definition, mechanism of realization and evaluation of
the application of this model.
Copyright © 2012 Praise Worthy Prize S.r.l. -
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Keywords: Agent Perception Framework, Message-Publishing/Subscribing Environment, Event Composition Net, Java Message Service.
Blind
Channel Estimation of Relaying Cooperative Communication in IoT Systems
by Xiaoqiang
Zhong
Vol. 7. n. 1, pp. 450-455
Abstract – In
Internet of Things (IOT) systems, Radio Frequency Identification (RFID)
tags are limited by size, costs and hardware complex. Relaying
cooperative communication allows for energy saving through diversity
gains, which can diminish the per-node energy consumption and increase
network lifetime. However, channel state information (CSI) is always
unknown and must depend on the channel estimation techniques to get. We
propose a kind of framework batch blind channel estimation methods for
the relay cooperative communication of IoT systems. We propose a cost
function, including a modified Reduced Constellation Algorithm( RCA )
error function term and adopt iterative reweighed least square(IRLS)
algorithm to solve the optimization problem. The simulation results show
that the proposed blind channel estimation method can estimate the CSI
correctly without any training sequence and achieves a fast blind
estimation of the channel only rely on small batch vector size.
Copyright © 2012 Praise Worthy Prize S.r.l. -
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Keywords: Internet of Things, Sensor Networks, Blind Channel Estimation, Relaying Cooperative Communication, Channel State Information.
Research
on Optimal Power Allocation for Cooperation-Relay AF Network
by Qingbo
Zhang, Jiaming He
Vol. 7. n. 1, pp. 456-460
Abstract –
Cooperating communication firstly stemmed from the theory of relay
channel, there are mainly two cooperation communication networks, which
are AF (Amplify-and-Forward) and DF (Decoded and Forward). Power
allocation is the current research focus of cooperation relay network.
For cooperation-relay AF network model, there are many algorithms are
proposed, for example, the average power distribution, but this
algorithm is not perfect for performance. In this paper, an OFDM based
optimal power allocation algorithm is proposed with the combination of
AMC (Adaptive Modulation and Coding) and bit-filling. In the algorithm,
AMC uses fixed threshold value based on expectations correction; Power
allocation algorithm adopts bit-filling according to different
modulation mode, adjusting power with the quality of the channel.
Simulation results show that the proposed algorithm not only the BER
performance is stable, but also the complexity of the algorithm is low.
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Keywords: Cooperation-Relay, AF Network, OFDM System, Power Allocation.
Computer
Numerical Calculation Techniques on Simulating Soil Temperature Field of Ground
Heat Exchanger
by Zhenyu Du,
Zhidong Lv
Vol. 7. n. 1, pp. 461-467
Abstract – With the
rapid development of computer technology, it becomes possible to
correctly predict the soil temperature field of ground heat exchanger (GHE)
after long-running, so as to effectively guide the design and optimize
operation strategy of GHE. In this paper, the GHE of ground source heat
pump (GSHP) engineering in the Loess Plateau region are selected as the
research object. Three-dimensional seepage of water in the isotropic
saturated soil porous media, thermal disturbance between the heat
transfer wells and different physical properties of the layered soil
along the depth direction are considered in the modeling process. The
computer numerical model is established through coupling fluid
turbulence model in the U-tube and soil porous media seepage model. The
soil temperature field of the actual GHE is continuous monitored in a
four-month heating period, then the monitoring datum are used to
calibrate the new model. Further using the model to predict and analyze
the thermal influencing radius, the soil temperature field distribution
and the impact of seepage. The simulation results are basic consistent
with the test data. This shows that the model and discrete algorithm is
effective and feasible, so the model can be used to predict the design
and operation of the GHE.
Copyright © 2012 Praise Worthy Prize S.r.l. -
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Keywords: Numerical Calculation, Computer Numerical Model, Ground Heat Exchanger, Soil Temperature Field, Porous Medium, Seepage Flow.
A
Quantitative Decision Method of Optimization Design for Product Quality using
Improved TOPSIS and GRA
by Jihong
Pang, Hongming Zhou, Fengping Li, Guohua Chen, Peihong Fu
Vol. 7. n. 1, pp. 468-474
Abstract – The
decision method of product design scheme has emerged as an active
research area. However, few quality characteristics (QCs) have been
considered to select the best product design scheme. To overcome the
above limitations, it becomes important to make a decision using
multiple QCs instead of one quality characteristic. The aim of this
paper is to propose a comprehensive decision method based on the
improved technique for order preference by similarity to an ideal
solution (TOPSIS) and grey relation analysis (GRA). First, the
multiple-attribute decision-making system was established by multiple
QCs. Second, the improved TOPSIS method was used to determine the index
weight of correlative QCs. Third, an application of GRA in decision of
optimal design scheme was discussed based on these weights. The validity
of proposed method was demonstrated with an example taken from design
scheme decision of CNC machine center.
Copyright © 2012 Praise Worthy Prize S.r.l. -
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Keywords: Product Quality, Optimization Design, Grey Relation Analysis, TOPSIS.
DSS
Development of Data Warehouse Based on Subject Domain of Logistics Cost
by Lei Guo,
Xiping Tian, Aimin Wang
Vol. 7. n. 1, pp. 475-479
Abstract – With the
development of logistics, more and more scholars began to study how to
reduce logistics cost. Decision Support System, shorted for DSS, is
referred to as decision-making computer applications system, which will
assist decision-makers with decision-making from data warehouse.
Nowadays, this technique has been applied and played a very important
role in various fields. Therefore, how to develop DSS becomes a new
research topic for data warehouse of logistics.This paper proposed a
data warehouse model based on subject domain of logistics cost using the
star schema, the center of which was the fact table of logistics cost
surrounded by multi-mansion tables. For data mining, the data described
logistics cost from different mansions were first clustered then mined
using associational rules technique. DDS of data warehouse based on the
logistics cost subject has provided important decision-making support to
reduce cost of logistics enterprises.
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Keywords: Logistics Cost, Subject Domain, Data Warehouse, Association Rules, Decision Support System.
Zigbee-based
Control System of the Spraying Robot by Electromagnetic Guidance
by Jian Song
Vol. 7. n. 1, pp. 480-484
Abstract – Automatic
spray technology is an innovative and high technology developed to meet
the requirements of facility agriculture in recent years.
Electromagnetically inductive control system of the spraying robot based
on Zigbee is developed to meet the operation requirements of the
spraying robot. The robot is composed of wheel-drive unit, control unit,
sensor-modulation unit and the sprayer. The inducing signals of the
running track of the robot are produced by the guide line with
high-frequency current buried in the field, using the signal voltage
difference of a pair of electromagnetical sensor to judge the robot
position. Star network topology is adopted to establish a wireless
sensor network with a central control node and six wireless sensor
nodes. C language is applied to develop wireless sensor program under
IAR Embedded Workbench for MCS-51 Evaluation environment. It is
indicated by the experiment that the straight line navigation accuracy
is ±8.5mm in a range of 20 meters; navigation accuracy is ±21cm when the
turn radius is 0.5m, so that it can meet the requirement of the spraying
robot.
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Keywords: Zigbee, Electromagnetic Induction Sensor, PID Algorithm, CC2430.
Optimization
Analysis of Resource Planning Schedule Performance in Complex Manufacturing
Collaborative Logistics Network
by Xiaofeng
Xu, Yirui Deng, Jinlou Zhao
Vol. 7. n. 1, pp. 485-489
Abstract – Schedule
variance usually happens in resource planning performance, because of
the interference of uncertain random factors which exist in complex
manufacturing collaborative logistics network. The schedule variance in
planning performance can induce delay and disjunction, and increases
disorder degree of collaborative logistics network. Therefore, the paper
analyses the defects about traditional prediction accuracy and
performance risks, combines the feedback control of earned value (EV)
and Weibull failure analysis, in order to dynamically adjust resource
planning based on prediction results, and maintains the effectiveness
and stability of resource planning performance in complex manufacturing
collaborative logistics network. Finally, an example empirical result
verifies the validity of the method.
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Keywords: Collaborative Logistics Network, Schedule Optimization, Earned Value Analysis, Weibull Distribution.
Weather
Phenomena Simulation in Virtual Environment
by Lin Gong,
Dingjun Hu
Vol. 7. n. 1, pp. 490-494
Abstract – Realistic
rendering of weather phenomena such as cloud, fog, rain and snow is an
important portion of computer graphics. However, due to the uncertainty
surface and the complex physical formation process, the modeling and
rendering of weather phenomena have been considered one of the most
challenging research topics in computer graphics. In this paper, texture
mobile technology is recommended to simulating cloud in sky dome, and
the algorithms of simulating rain, snow, thunder based on particle
system were discussed and improved. The whole three dimensional weather
phenomena environment model was established. The results show that the
three dimensional weather phenomena model is effective and realistic;
they can meet the requirements of real-time scene simulation.
Copyright © 2012 Praise Worthy Prize S.r.l. -
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Keywords: Scene Simulation, Weather Phenomena Simulation, Texture Mobile Technology, Particle System.
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