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International Review on Computers and Software - Papers
Implicit Space Mapping Approach to Microwave Circuits Design
by Saeed Tavakoli, Mahdieh Zeinadini, Shahram Mohanna
Vol. 6. n. 5, pp. 626-630
Abstract - Determine of design parameters based on electromagnetic simulations of microwave circuits is an iterative and time-consuming procedure. The space mapping assumes the existence of fine and coarse models. The fine model may be an electromagnetic simulator providing high accuracy whereas the coarse model is typically an equivalent circuit with empirical formulas. In this paper, design parameters for two case-study applications are determined using the implicit space mapping. The main advantage of this technique is that it can decrease the number of fine model evaluations. First, the coarse model is optimized to obtain design parameters satisfying the design objective. Next, a set of auxiliary parameters, which always remain fixed in the fine model, are calibrated in the coarse model to match coarse and fine model's responses. Considering the re-calibrated auxiliary parameters fixed, then, the improved coarse model is re-optimized to obtain new design parameters. Finally, these design parameters are given to the fine model to evaluate its performance. When a satisfactory solution is reached, the procedure is stopped. Case-study applications are a branch-line coupler and a microstrip low-pass filter. Simulation results show that only a few fine model evaluations are sufficient to get satisfactory results for these applications.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Computer-aided design, Microwave circuit design, Optimization, Space mapping, Surrogate model.
Design
and Simulation of an Internet-Based Interactive Controlling and
Monitoring System for Educational Purposes Using SCADA
by R.
Bayindir, Y. Cetinceviz, D. Uygun
Vol. 6. n. 5, pp. 631-639
Abstract - In this paper, we purpose a web based communication system between a laboratory on server side and students on client side in order to teach students how to use various process control environments in which FieldBus communication systems are widely used to interconnect them. Web-based remote access to the system and the controlling/monitoring of the process has been provided by using SCADA (supervisory control and data acquisition) control. In order to emphasize the effectiveness of this remote laboratory, a conveyor system which is controlled by an asynchronous motor driven by industrial wireless module and in which an optic, an inductive, a magnetic and a capacitive sensor exist has been used. A programmable logic controller (PLC) was used to control the operation of the system. SIMATIC MANAGER software inclusive of S7-PLCSIM Simulating Modules for PLC programming and simulating system, WinCC flexible visualization software and Sm@rtService option for web-based remote monitoring and control opportunities have been used.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: SCADA, PROFINET CBA, Industrial Wireless Module, Wincc, Communication-Capable Modules.
A
Hybrid Microphone Array Filter for Speech Enhancement
by
Chih-Chia Yao, Ruo-Wei Hung
Vol. 6. n. 5, pp. 640-651
Abstract - In this paper, a hybrid filter based on microphone arrays with the assumption of a diffuse noise field is proposed to suppress correlated as well as uncorrelated noise. In the past decade, numerous studies have confirmed the excellent performance of microphone array technology in speech source localization and noise reduction. In the proposed hybrid filter the signals are pre-processed by adaptive wavelet filter and spectral subtraction method. Then microphone array is used to filter the signals. Both the spectral subtraction method and adaptive wavelet thresholding method are highly effective for signal denoising. However, spectral subtraction method is ineffective for low-SNR signals whereas adaptive wavelet thresholding method is ineffective for high-frequency signals. The filtering behavior between adaptive wavelet filter and spectral subtraction method is controlled by a feed-forward fuzzy neural network. Experimental results demonstrate the usefulness and superiority of the proposed hybrid filter compared to other methods of speech signal enhancement using speech quality meaures and speech recognition rate.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Speech Enhancement, Microphone Array, Wavelet Filter, Spectral Subtraction Method, Neural Network.
Improvement
of ITU-T G.729B VAD Using WDWF and Dynamic Preprocessingby Hassan Farsi, Mohammad Amin Mozaffarian
Vol. 6. n. 5, pp. 652-660
Abstract - The purpose of this paper is a new voice activity detector (VAD) algorithm for improving speech detection robustness in low noisy environments and providing better performance of speech recognition systems. This algorithm is applied to ITU-T G.729B standard that is one of the regular standards in VAD systems. In this paper, first, we modify its performance through serving some basic methods like changing LSF coefficient evaluation system by True-Envelope Linear Prediction Coding (TE-LPC) and adaptively calculate energy parameters by Geometrically Adaptive Energy Threshold (GAET) and parallel with statistical decision. At the end, we compare the modified version against the original one using statistical method by Weighted Double-channel Wiener filter (WDWF). The proposed scheme was evaluated on male and female speakers under various noise conditions including white Gaussian noise, vehicle, and multi-talker babble noise. The proposed scheme is compared with the most commonly used VADs in this field, in terms of voice/unvoiced discrimination and in terms of recognition performance when the VAD is used for an automatic speech recognition system. Experimental results demonstrate a sustained advantage over standard VADs such as G.729B and adaptive multi-rate (AMR) standards which were used as a reference, and over the VADs of the advanced front-end for distributed speech recognition.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Voice Activity Detection, Speech Enhancement, ITU-T G.729B, Noise Cancellation.
Virtual
Instrument to Evaluate Parameters of Photovoltaic Panels
by
Constantin Daniel Oancea, Adriana Florescu
Vol. 6. n. 5, pp. 661-666
Abstract - One of
the renewable energy sources characterized by a huge potential of
conversion into electrical power is the solar energy. The conversion of
solar radiation into electrical energy by Photo-Voltaic (PV) effect is a
very promising technology, being clean, silent and reliable, with very
small maintenance costs and small ecological impact. This paper presents
a virtual instrument for data acquisition and analysis. Data are from
photovoltaic panels. The novelty of this article consists in application
high flexibility and versatility. Although experiments and design were
made for a low voltage, the system can be adapted easily for other
values.
Copyright © 2011 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Renewable Energy, Solar Cells, Virtual Instrument.
Complex
Electric Signals Analysis Using Virtual Instrumentation
by Anca
Miron, Mircea D. Chindriş, Andrei C. Cziker
Vol. 6. n. 5, pp. 667-677
Abstract - A virtual instrument dedicated for the classification and analysis of complex electric signals influenced by conducted electromagnetic disturbances is presented. The mathematical support of the software tool is based on classic mathematic methods (Fourier transform, wavelet transform and symmetrical components) and artificial neural networks. The virtual instrument graphical user interface is similar to a physical meter and it is easy to understand and work with. The signals analyzer processes electric signals acquired from power networks and determines the power quality indicators that characterize the non-sinusoidal and unbalanced operation states which may also contain voltage dips.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Power Quality, Conducted Electromagnetic Disturbances, Virtual Instrument, Power Quality Indicators.
Combining
Harris Interest Points and the PHOG Descriptor for Object Categorization
by Reza Hemati,
Sattar Mirzakuchaki
Vol. 6. n. 5, pp. 678-682
Abstract - Bag-of-keypoints representations have recently become popular for visual object categorization owing to their simplicity and good performance. One of the most important parts of this technique is interest point localization and description. Interest points are usually associated with a change of an image property or multiple properties simultaneously. Interest point detectors sample a sparse set of locally stable points which is the basis of bag of keypoints. In this paper, we will evaluate effectiveness of Harris corner detector accompanied by the PHOG descriptor (Harris-PHOG) and compare their results with most commonly used ones, DOG-SIFT and DOH-SURF. The results show that this new approach outperforms the existing methods in object categorization. Also we study the effect of hard assignment in conventional bag of keypoints versus soft assignment in final results. It will be shown that soft assignment has better results than hard assignment.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Object Categorization, Bag Of Keypoints, PHOG, Harris.
Software
Development for UML Scenarios: Design, Fusion and Code Generation
by Abdeslam Jakimi,
Lahcen Elbermi, Mohammed Elkoutbi
Vol. 6. n. 5, pp. 683-687
Abstract - The emergence of UML as a standard for modeling systems has encouraged the use of automated software tools that facilitate the development process from analysis through coding. In UML, the static structure of classes in a system is represented by a class diagram while the dynamic behaviour of the classes is represented by a set of sequence or statechart diagrams. To facilitate the software development process, it would be ideal to have tools that automatically design, fusion and generate or help to generate executable code from the models. The goal of this paper is to narrow the gap between UML scenarios and an implemented system. The narrowing of gap is achieved by automatically creating, compositing and generating low-level code from the UML sequence diagrams (use case or service of system).
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: UML, Scenarios, Usecase, Design, Fusion, Code Generation.
Multimedia
Digital Fingerprinting Scheme for Large User Group
by Jian Song, Defa
Hu
Vol. 6. n. 5, pp. 688-691
Abstract -
As an emerging technology for
multimedia copyright protection, digital fingerprinting achieves to
trace pirates by embedding a unique serial number called fingerprint
into each distributed copy invisibly. When designing multimedia digital
fingerprinting systems, there are two major problems must be addressed.
One is how to resist collusion attack launched by some malicious
customers, and the other is how to accommodate a lot of customers, since
the number of potential customers in multimedia applications is very
large. In order to resist the collusion attack, a well known
anti-collusion code proposed by Trappe et al is used in our scheme. To
increase the system capacity to accommodate a large number of customers,
permutation and combination is performed on the original codewords,
which will generate a lot of new codewords.
Copyright © 2011 Praise
Worthy Prize S.r.l. - All rights reserved
Keywords: Digital Fingerprinting, Multimedia Copyright Protection, Anti-Collusion code, Collusion Attack.
An
Overview of Dynamic Evolutionary Multi-objective Optimization
by Min Liu, Wenhua Zeng, Jianfeng Zhao
Vol. 6. n. 5, pp. 692-699
Abstract - In addition to the need for satisfying several competing objectives, many real-world optimization problems involve objectives, constraints, and parameters which constantly change with time. Therefore, the optimization goal is not only to evolve a near-optimal and diverse Pareto front, but also to track the front as it changes with time. Over the past decade, a number of dynamic evolutionary multi-objective optimization (DEMO) algorithms have been suggested to address the above difficulty dynamic multi-objective optimization problems (DMOP). This paper attempts to provide a comprehensive overview of the related work. Firstly, the problem definition is given. Secondly, some important issues, such as diversity introduction, memory schemes, prediction approaches are investigated. Thirdly, existing DEMO algorithms are presented and discussed. Fourthly, benchmark test problems and performance metrics are presented. Moreover, two DEMO algorithms are compared on two test problems. In the fifth place, some applications of DEMO are introduced. Finally, topics for future research are suggested.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Evolutionary Computation, Dynamic Environment, Memory Scheme, Multi-objective Optimization, Pareto Optimal.
A
Collaborative Fuzzy System for Unit Cost Forecasting with Partial Data
Access
by Toly Chen, Yu
Cheng Wang
Vol. 6. n. 5, pp. 700-705
Abstract - Due to security considerations, the integral access to the unit cost data is often limited. As a result, it becomes extremely difficult to accurately predict the unit cost. To solve this problem, a collaborative fuzzy system is constructed in this study. The collaborative fuzzy system is different from the previous methods because now each expert has only partial access to the unit cost data and is not willing to share the raw data he/she owned. In the proposed methodology, every expert uses a fuzzy linear regression equation to predict the unit cost. Subsequently, rather than the raw data, the forecasting results by an expert are conveyed to other experts to modify their settings, so that the actual values will be contained in the fuzzy forecasts after collaboration. A communication protocol is also designed to achieve this purpose. According to the experimental results, the hit rate, precision, and accuracy of forecasting the unit cost were considerably improved using the collaborative fuzzy system for either expert without sharing the raw data he/she owned.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Fuzzy, Unit Cost, Forecasting, Collaborative System, Partial Data Access.
Anti-Collusion
Digital Fingerprinting Based on IPP Code
by Xilong Qu,
Linfeng Bai, Xiaobo Ming, Defa Hu
Vol. 6. n. 5, pp. 706-709
Abstract - Multimedia piracy becomes increasingly rampant in recent years. As an emerging technology for combating multimedia piracy, digital fingerprinting achieves to track the pirate by embedded a unique serial number called fingerprint into each distributed copy. Once an unauthorized content copy is found somewhere, the embedded fingerprint can uniquely identify the source of the leakage. Identifiable parent property (IPP) code can provide some traceabilities from the pirated data, and it has been widely used to track pirates. This paper proposes a multimedia digital fingerprinting scheme, where IPP code is utilized to construct the fingerprints to withstand collusion attacks. In order to resist multiple colluders and accommodate a lot of customers, we use q-ary (q>2) IPP code instead of 2-ary IPP code.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: IPP Code, Digital Fingerprinting, Multimedia Copyright Protection, Secure Multimedia Distribution, Collusion Resistance.
Target
Identification Based on Improved Wavelet Edge Detection for Eggplant
Picking Robot
by Jian Song
Vol. 6. n. 5, pp. 710-714
Abstract - A target identification method based on wavelet transform edge detection for eggplant picking robot is proposed for the sake of improving the operating rate and reliability of its vision system. Through experiments and statistics of the image color features of the eggplants under growing environment, color factor G- component is selected for the processing target, and median filtering method is adopted for smoothing operation. Combined with the space multi-resolution analysis principle of wavelet transform, it is put forward that the compact support biorthogonal wavelet structure is used for multi-scale edge detection. Besides, wavelet function is built, the high and low pass filter sequences are calculated, and the traditional wavelet transform is improved. It is demonstrate by experiments that the method used solves the problems of excessive edge details and noise in the traditional method, with better edge continuity and less crossing detection points and better real-time when used in target identification for eggplant picking robot, thus meeting the requirements of picking operation.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Target Identification, Improved Wavelet, Picking Robot, Edge Detection, Eggplant.
Multiagent
Role Allocation Based on Cognitive Dissonance Theory
by
Florin Leon
Vol. 6. n. 5, pp. 715-724
Abstract - This paper proposes a method by which the agents can self-organize based on the changes of their individual utilities. Agents have different preferences regarding the features of the tasks they are given and their adaptive behavior is based on the psychological theory of cognitive dissonance, where an agent working on a low-preference task gradually improves its attitude towards it. The agents follow individual learning curves and improve their performance by learning or decrease it by forgetting. The model takes into account task inter-dependencies and constraints, as well as functional limitations of the agents. A (near-)optimal assignment of tasks between agents is achieved by an evolutionary multilateral negotiation. After repeated trials, the system stabilizes and the agents converge to specific roles, i.e. they handle tasks mainly defined by particular attribute values. Also, the total productivity is shown to increase as an emergent property of the system.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Multiagent System, Self-Organization, Organizational Roles, Multilateral Negotiation, Learning Curve, Task Allocation, Evolutionary Algorithm.
A
Requirements Engineering Maturity Measurement Framework Tool for Medium and
Small Scale Software Companies
by
Anurag Shrivastava, S.P.Tripathi
Vol. 6. n. 5, pp. 725-729
Abstract - Requirements Engineering (RE) problems are widely acknowledged as having a major impact on the effectiveness of the software development process, Sommerville et al. have developed a requirements maturity model. However, research has shown that the measurement process within Sommerville’s model is ambiguous, and implementation of his requirements maturity model leads to confusion. Hence, Mahmood Niazi, Karl Cox, June Verner proposed a new RE maturity measurement framework (REMMF) based on Sommerville’s model. The objective of research is to efficiently evaluate the RE maturity measurement framework (REMMF) for RE process maturity assessment. We present a tool support in order to perform calculations and to generate different assessment reports; we also present the assessment of good practice guidelines and maturity assessment results for different companies. Our conclusion is that the requirements engineering maturity measurement framework is use full in supporting maturity assessment, identifying requirements engineering process maturity.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Requirements Engineering, Process Maturity Measurement Framework.
Performances
Measuring of a Neuron-Surgical Theatre: A Discrete Event Simulation Technique
by L.
Dekhici, K. Belkadi
Vol. 6. n. 5, pp. 730-734
Abstract - The Neuron-surgical theatre of Hospitable University center of Oran (HUCO) is among the most complex operating theatre to manage. This is due to the fact that emergencies are integrated in unlike other pavilions. Another reason is that early wake-up duration can reach 48 hours, which can disrupt the management of awakening’s beds. Objective. The work presented in this paper mainly aims the modeling and the design of the neurosurgical of HUCO to determine the number of technical and human resources according to the number of operating rooms. Method. For this we use ASDI methodology (Specification-Analysis-Design-Implementation) which has the principle of independence between the specification in a knowledge model and the simulations language in the action model. Result. For the specification, we use ARIS toolset. The simulation of 5 models and over 22 scenarios is done in ARENA 12. It helps us to find the best configuration that maximizes the efficiency of operating rooms and meets quality criteria that we have laid.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Operating Theatre, Simulation, Performance, Efficiency, Resources Numbers.
3D
Object Recognition Using Classification and Invariants
by
M. Elhachloufi, A. El Oirrak, D. Aboutajdine, M.N. Kaddioui
Vol. 6. n. 5, pp. 735-739
Abstract – – In this
work we present a method for recognizing 3D objects from images or 3D
objects (base objects ) using classification and invariants.
The objects of a class verified the statistical properties and geometric
characteristics similar and they have the same invariant. Indeed, to
classify a 3D object in a given class, in the first step we apply the
algorithm K-Means to the base object to determine the different classes
corresponding to 3D objects composing it , then we compute the
invariants from these objects using the canonical correlation
coefficients from the canonical analysis applied to these objects to
study the similarity of these objects. The 3D objects are considered a
transformation of 3D objects by one element of the overall
transformation. All transformations considered in this work are the
general affine group.
Copyright © 2011 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Recognition, Classification, Invariant, 3D Objects.
Noise-Induced
Hearing Loss Prediction in Malaysian Industrial Workers using Gradient
Descent with Adaptive Momentum Algorithm
by N. M.
Nawi, M. Z. Rehman, M. I. Ghazali
Vol. 6. n. 5, pp. 740-748
Abstract – In the past 30 years Malaysian Industry has progressed a lot and emerged as a key player in maintaining the economical stability. Despite providing efficient solutions for Malaysian economical progress most of the major industries face a nemesis in the form of Noise. The high frequency noise emitted from the machines is causing adverse side-effects to the health of the blue-collared employees. One of the most common health injury caused due to exposure to high frequency noise is known as Noise-Induced Hearing Loss (NIHL). Several studies have been conducted to study the major factors involved in causing NIHL in humans using Artificial Neural Networks. But these studies have neglected some important factors that play a major role in causing hearing loss. Therefore, this study is carried-out to predict NIHL in workers using age, work-duration, and noise exposure as the main factors involved in the hearing loss of a human worker. Gradient Descent with Adaptive Momentum (GDAM) algorithm is proposed to predict the hearing loss on both ears. GDAM shows improved prediction results for both ears. The Mean Square Error (MSE) calculated for Left Hearing Loss (LHL) and Right Hearing Loss (RHL) was found to be 2.18x10-3 and 2.30x10-3 respectively. The overall accuracy achieved for NIHL prediction in human workers was close to 99.37 and 99.01 percent for left and right ears respectively.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: CNoise-Induced Hearing Loss, Adaptive Momentum, Occupational Safety, Workers Health, Malaysian Industry.
An
Efficient Approach to Automated Medical Image Annotation
by S.
Loveymi, B. Shadgar, A. Osareh
Vol. 6. n. 5, pp. 749-759
Abstract – Currently, there is an increasing interest for setting up medical image annotation systems that can facilitate the patients’ diagnosis, therapy and treatment planning. This paper aims to investigate the effectiveness of image analysis and machine learning approaches toward an efficient medical image annotation system. In this way, we have utilized a large dataset of about 12000 manually annotated medical images for an accurate training and evaluation of our proposed method. We follow the standard pattern recognition paradigm, in which we first experiment with different combination of feature sets and then extract the most discriminative features for the problem at hand. These include, local binary patterns, shape descriptors, edge orientation histogram and Gabor filter features. An optimum classification-annotation model based on discriminative support vector machine is then trained and the model’s parameters are fine tuned using the extracted features. Finally, the effectiveness of the proposed system is evaluated in terms of classification accuracy against the manually labeled radiograph images when we could achieve overall classification accuracy of 90.4% on the test data.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Automatic Image Annotation, Imageclef, Support Vector Machines, Gabor Filters.
A
FCM and Embedded-BPN approach for Job Cycle Time Estimation in a Wafer
Fabrication Factory
by
Toly Chen
Vol. 6. n. 5, pp. 760-764
Abstract – A fuzzy c-means (FCM) and embedded-back propagation network (embedded BPN) approach is proposed in this study for estimating the cycle time of a job in a wafer fabrication factory, which is a critical task to the wafer fabrication factory. Unlike the existing approaches in which job classification and cycle time estimation are separate stages, the proposed methodology classifies jobs and at the same time estimates the cycle times, which is an innovative treatment in this field. For evaluating the effectiveness of the proposed methodology, production simulation is also applied in this study to generate some test data.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Wafer Fabrication Factory, Embedded, Fuzzy c-means, Fuzzy Back Propagation Network, Cycle Time.
The
Affecting on the Performance of Introducing Different ERP Strategies
by
Ching-Chiang Chen, Dong-Her Shih, Hsiu-Sen Chiang, Chien-Yuan Lai
Vol. 6. n. 5, pp. 765-773
Abstract – Most recently, the studies show that, it is critically important to understand the successful factors of Enterprise resource planning (ERP) implementation. ERP has become critical to enhancing the competitiveness of the enterprise in the world. According to the research reports, There are over 35 hundred million U.S. dollar has been put into the enterprise resource planning deployment. Also, there are over 60,000 companies have already implemented enterprise resources plan in the whole world. The ERP is a large information system, since the ERP in 1990 proposed by the Gartner Group, they will cause a whirlwind in the business fields, many international enterprises have to import ERP system and implementation of "Business Process Reengineering," with information technology, thus, the ERP systems promoted a successful enterprise to enhance the competitiveness, However, the actual benefits of implementing ERP into enterprises are debatable. In many cases, an ineffective application of ERP have incurred huge losses for companies and even driven some to bankruptcy. In this paper, we focus on the advisor’s service quality, staff resist, executive directors’ support and information department service, which to probe the performance of ERP’s influence. To study whether the users’ satisfaction and organization effects will be affected by different strategy ERP implementation. On the other hand, there are 154 research samples had been received by either a manager of the information department or a consultant that had the experience of implementing ERP. The results of our surveys point to the following: the service quality of either the information department or consulting firms not only influences the integration process of ERP, but is also a major factor that affects employee resistance and the effectiveness of ERP.IRECOS.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: ERP, Key Strategy, Consulting Service, Service Quality, Implementation Strategy.
A
Study of Association Rule Data Mining Approaches and its Current Research
Directives on Large Databases
by
Biswaranjan Nayak, Srinivas Prasad
Vol. 6. n. 5, pp. 774-783
Abstract – This paper deals with the overview of association rule mining algorithms in large databases used for especially business organizations where the amount of transactions and items plays a crucial role for effective decision making. Frequent item-set generation and the creation of strong association rules from the frequent item-set patterns are the two basic steps in association rule mining. It becomes very much tedious for mining the association rules as the data are growing instantaneously in every sphere of life. Therefore it becomes important to develop effective association rule mining techniques in such a way that interesting rules are mined effectively from large databases. In this paper we have analyzed different association rule mining techniques with its current directives for large databases.
Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Association Rules, Confidence, Fptree, Partitioning, Support.
An
Efficient Buyer-Seller Fingerprinting Protocol for Grid Context
by
Yunxia Pei, Yue Zhang
Vol. 6. n. 5, pp. 784-786
Abstract - Grid is
an Internet-based emerging network computing technology, which enables
large-scale resource sharing, innovative applications, and strong
computing power. However, grid technology also causes a serious piracy.
Although digital fingerprinting is an emerging technology to combat
piracy, it should be used with a secure buyer-seller fingerprinting
protocol, which can enable a seller to identify a traitor from a pirated
copy, while preventing the seller from framing an innocent buyer. This
paper proposes a buyer-seller fingerprinting protocol, which is suitable
for grid context. To improve the distribution efficiency, the seller
distributes a single encrypted digital product with a short clip to a
grid. The one who wants to buy this product can get a decryption key by
a fingerprinting protocol. When different decryption keys perform on the
same encrypted copy, the result is each buyer gets a slightly deferent
decrypted version, and the difference between the decrypted copes can be
used to track the corresponding buyer.
Copyright © 2011 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Grid, Buyer-Seller Protocol, Digital Fingerprinting, Secure Distribution, Pirate Tracing.
Multiple
Local Feature Strategy a Combining Approach for Object Categorization
by
R. Rashidi, J. Haddadnia, R. Hemati
Vol. 6. n. 5, pp. 787-794
Abstract - Recently,
methods based on local features have shown promise for object
categorization tasks. But there is no single type of feature which can
be optimal for all needs such as discriminative power and invariance.
Hence, in this paper we benefit a multiple feature representation by
merging diverse features for images. In this way we assume the image
representation based on a single feature and extend it to the case of
multiple features from several descriptors. The bag of keypoints model
is used for representing image based on each feature type and a
posteriori probabilities of the image is obtained by means of support
vector machines. Then the final result is attained by applying our
combination strategy on the results of multiple feature types.
Experimental results show that using this combination method improves
the performance significantly as compared with the single cue methods.
Such a representation for merging features has high flexibility such
that other descriptors yielding other feature vectors can be easily
incorporated. Also, it is demonstrated that the proposed method achieves
higher or comparable accuracies as compared with several
state-of-the-art categorization methods on challenging benchmark
dataset.
Copyright © 2011 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Object Categorization, Image Classification, Bag of Keypoints Model, Local Features, Multiple Feature Representation.
The
Integration of Skin Color Segmentation and Self-adapted Template Matching for
the Robust Face Detection
by
Wang Zhi-Wen, Li Shao-Zi, Dai Ying
Vol. 6. n. 5, pp. 795-805
Abstract - In this
paper, an approach of integrating skin color segmentation and
self-adapted template matching for the robust face detection is
proposed. According to the clustering properties of the skin color of
human faces in the YCbCr color space, the regions which close to the
skin color are separated from the image by using Gaussian mixture model
in order to achieve the purpose of rapidly detecting the external face.
The influence of the brightness on the detection of the human faces is
eliminated by using the illumination compensation technology, and also
the confusion of the regions with the closed skin color with the human
face is overcome by the adaptive template matching. Computation in the
matching process is reduced by using the second matching algorithm.
Experimental results show that proposed method can rapidly detect the
human faces from a variety of images, while those detected faces include
several of facial images with the different sizes, poses, races under
the different illumination conditions.
Copyright © 2011 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Face Detection, Mixture Gaussian Model, Illumination Compensation, Secondary Matching Algorithm, Self-Adapted Template Matching Template.
Studying
the Effect of Varying Time Slots Allocated for GTS on IEEE 802.15.4
Performance
by
Nidal Abid Al-Hamid Al-Dmour
Vol. 6. n. 5, pp. 806-810
Abstract - IEEE
802.15.4 is a standard designed for low-rate and low power wireless
connectivity among inexpensive, portable, and moving devices. IEEE
802.15.4 provides a Guaranteed Time Slot (GTS) mechanism to allocate a
specific duration within a superframe for time-critical transmissions.
This paper illustrates how the IEEE 802.15.4 performs regarding the
number of packets received when both the number of slots allocated for
GTSs and the transmission power are varied. The simulations have been
carried out using Omnet++ simulator with the existence of path loss in
the wireless channel and without a path loss.
Copyright © 2011 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Wireless Network, IEEE 802.15.4, GTS, Transmission Power, Omnet++.
A
Reliable Storage Management Framework for Flash memory SSD based RAID
Arrays
by
Sanam Shahla Rizvi, Tae-Sun Chung
Vol. 6. n. 5, pp. 811-819
Abstract - Flash
memory becomes ideal storage media for small size consumer electronics
and embedded systems as well as for large size multimedia applications
because of its attractive features like fast access speed, shock
resistance, high reliability and further more it's rapidly increasing
capacity. However, flash needs expensive erase operation for rewriting
data on same memory location that degrades the system performance.
Therefore, for increasing performance by decreasing the number of erase
operations, data in flash memory is likely to be handled by access
patterns in hot and cold data nature categories. Separately storing data
by nature in different blocks however reduces the frequent erasures but
as a side effect consumes large main memory space to maintain the memory
mapping table at fine granularity on a page level. In this paper, an
advance storage management framework is presented where data is stored
by nature in separate physical blocks but mapping structures are
retained at coarse granularity on a block level. We deploy such system
software for evaluating the system performance in flash memory SSD based
RAID schemes. We also provide the firmware/driver based metadata storage
framework and experiment RAID 0 and RAID 1 to support the increasing
requirements of data reliability and throughput. Simulation results
using real time traces and two modern benchmarks ensure significantly
improved overall system performance with reduced erasures and preserved
migration cost compared to well known previous schemes. Plus great
performance in terms of high throughput and reliability, fast random
access speed and low CPU utilization obtained from RAID arrays compared
with non RAID flash drive and HDD.
Copyright © 2011 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Consumer Electronics, Embedded Systems, Mobile Applications, RAID, Data Organization, Endurance Management, Memory Management, System Performance.
Design
of T-S Fuzzy Control for Active Queue Management in TCP Networks
by
Xilong Qu, Zhongxiao Hao,Linfeng Bai, Xizheng Zhang
Vol. 6. n. 5, pp. 820-826
Abstract - In this
paper, a Fuzzy Active Queue Management (F_AQM) controller based on T-S
models was proposed for the TCP networks in order to solve congestion
control problem. A T-S fuzzy model was firstly formed to represent the
nonlinear system of TCP/AQM. For converting the tracking control into a
stabilization problem, a new control design was proposed to define the
internal desired states. Then, the F_AQM controller for TCP networks
with parameters and flow disturbances was designed based on this fuzzy
model. Also, the feedback gains and the system stability were formulated
and proved in terms of linear matrix inequalities (LMIs). NS-2
Simulation results show that, compared with other exist controller, it
can track queue length more quickly under various network conditions,
and show more robustness to dynamic network disturbances.
Copyright © 2011 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Active Queue Management, T-S Fuzzy Control, Stability Analysis, Linear Matrix Inequality.
An
Experimental Observation-based Ontology Evolution Framework
by
Ali Alifard, Bita Shadgar, Alireza Osareh
Vol. 6. n. 5, pp. 827-833
Abstract - The
notion of cognition and reasoning is the core of cognitive sciences and
artificial intelligence. Some sciences such as philosophy, logic,
psychology, neuroscience and so forth are looking for exact explanation
of how to do these processes in human's mind. What is certain or at
least shown by natural evidences represents that “cognition” in nature
has always brought up some kind of “learning” and “evolution” concepts.
According to the natural evidences, most of organisms, at the beginning
of their life, have a few cognitions about themselves and the world.
However, they reach to a kind of cognitive evolution over the time. This
notion is crucial because there is no complete cognition model of the
world available at the beginning of life and there is no straightway to
reach it immediately. It must be achieved over the time. This article is
suggesting a framework which has focused on cognitive evolution notion
for artificial intelligent agents/systems rather than organisms.
Copyright © 2011 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Concept Learning, Ontology Learning, Ontology Evolution, Conceptual Clustering, Framework.
Real-time
platform ‘TIMER’ for the Distributed Systems –M2M- with the Multi-agents
Systems
by
M.Saqalli, H.Medromi
Vol. 6. n. 5, pp. 834-839
Abstract - TThe
real-time computer systems became present in numerous business sectors
today: in the industry of production, the aeronautics, the sector of the
new economy, the treatment and the routing of the information (video,
data, remote piloting, virtual reality, etc.). These last ones try hard,
through advanced mathematical theories, of more elaborated Computing
solutions and rigorous temporal constraints.
In this paper we propose a new approach multi-platform called "Timer"
for the distributed architectures multi-agents. This approach is
validated and implemented on platforms with the systems multi-agent. The
objective of this Timer is to verify the capacity of every agent of the
platform to perceive its environment and to elaborate an answer in
required time.
This new approach can control several SMA (develop it c, c or Java)
situated in different operating systems (Windows or Linux) and rejoinder
on several machines.
Copyright © 2011 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Platform, Distributed System, Multi-Agents System, Real-Time System.
A
Novel Adaptive Sliding Mode Congestion Control Algorithm for TCP
Networks via T-S Model Approach
by Xilong Qu,
Zhongxiao Hao, Xizheng Zhang
Vol. 6. n. 5, pp. 840-847
Abstract - In order
to solve the problem of congestion control for nonlinear and uncertain
TCP communication, this paper proposed a novel Active Queue Management (AQM)
algorithm based on T-S fuzzy adaptive sliding mode control (FASMC). For
the particular TCP network, a T-S fuzzy system was firstly constructed
to model the nonlinear TCP/AQM dynamics. The AQM tracking problem was
then converted into the stabilization one. In terms of linear matrix
inequality (LMI), the sufficient condition for the existence of sliding
mode and the asymptotically stability of sliding motion were derived.
Meanwhile, the global adaptive laws were designed. NS-2 simulation
results show that, compared with other exist controllers, it can track
queue length more quickly under various network conditions, and show
more robustness to network flow disturbances.
Copyright © 2011 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Active Queue Management (AQM), Adaptive Control, Takagi-Sugeno (T-S) Model, Sliding Mode Control.
Comparative
Study on Various Forming Patterns of Rod Based on Computer Simulation
by Licheng
Yang, Jingxiang Hu, Liwei Ning, Jinchen Ji
Vol. 6. n. 5, pp. 848-855
Abstract -
Rigid-plastic finite element method and isoparametric element technology
are used to build fully three-dimensional FEM models of hot rod rolling
process of typical carbon steel. All kinds of thermal exchange phenomena
are considered in the paper, such as conduction at the rolls-workpiece
interface, convection and radiation between the workpiece or rollers and
the surrounding environment, and heat generation due to plastic
deformation and friction work. Numerical simulation is carried out to
examine the deformation characteristics, temperature field, and
distribution properties of force and energy parameters for four-pass
rolling process of two oval-round rollers, three round-flat rollers and
three arc-flat rollers with Y type, respectively. It is found that the
rolling force of the workpiece shortens drastically by comparing three
rollers of Y type with two oval-round rollers. The flow of metal is more
balance and the impact and wear is smaller than the latter. The
simulating results keep a good agreement with the experiment data and
the reported results available in the literature, which proves the model
and solving method is reasonable.
Copyright © 2011 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Hot Continuous Rolling, Computer Simulation, FEM Modeling, Thermo-Mechanical Coupling.
A
Web-Based Controlled Greenhouse System and Monitoring The System’s Data
by Ali Buldu
Vol. 6. n. 5, pp. 856-861
Abstract - In this
study, the control of a greenhouse system and monitoring the system data
over the internet is intended. Depending on temperature and humidity, a
system controlling this greenhouse is designed. The measured values
received from the system are stored in a database and then these values
can be monitoring through a database communication protocol through a
web interface. Apache web server for the web infrastructure for the
system is preferred. Remote users can observe the data belonging to the
greenhouse system using PHP based web pages via the internet at any
time, or may adjust the parameters for the physical configuration of the
greenhouse. In this way, users from anywhere and at any time can check
and track automation data without any obligation of being existence. In
addition, the recorded measured values and the changes depending on the
time in the system's database would shed light on the approaching
studies about estimated curves. Moreover, data mining technics would be
considered in future studies to develop more efficient methods of
finding convenient values of the greenhouse's setting configuration,
regarding this paper. Therefore the methods could be used to increase
the efficiency and the quality of the greenhouse management system.
Copyright © 2011 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Sera Automation, Apache Web Server, PIC 16F877, Remote Control, Web Based Control, Data Monitoring.
Web-Based
Real Time Tempareture Control System
by Ali Buldu
Vol. 6. n. 5, pp. 862-866
Abstract - Internet
and common communication devices can be very useful enterprise to make
use of them in processes that require remote measurement and control.
Web and these kinds of devices also use real time applications. Internet
is not only used for communication but also used in real time
application processes that require remote measurement and control. This
system has been successfully tested to the air conditioning channel in
web based.In this application circuit has been prepared for controlling
the air conditioning channel and receiving data from the temperature
sensor by using serial port. Then the control interface software which
runs on the computer has been improved in order to supply the
interaction between the user and the controlled system. At the end of
the study, client computer connect to the controlled system over
internet by supplying remote access.
Copyright © 2011 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Realtime Tempareturecontrol, Winsock,Web Based Control.
Thematic
Search of AVD Based on Ontology
by Azaiez Ikbel,
Ben Ahmed Mohamed
Vol. 6. n. 5, pp. 867-872
Abstract - In this
work we aim to build, in a first step, a repository containing
audiovisual document (AVD) doubly indexed: descriptively and
thematically. And in a second step, the establishment of a search engine
fragments AVD answering queries on descriptive attributes and thematic.
The targeted platform includes as a first module, the automatic
transcription of AVD text document containing all the content of a
newscast and an XML file indicating the time code for each word
transcribed begin and end in the sequence. The second module consist of
segment text in homogeneous themes with identification of themes and
extracting keywords by combining the two tools TextTiling and LSI
(Latent Semantic Indexing). A minimal ontology including the major
themes will be expanded by the topic segmentation and extraction of
keywords, so each major theme will be enriched and identified themes,
and each of these themes will have annotated by the relevant keywords.
In this paper, we present the conceptual model of thematic research
platform into a repository of documents indexed by AV descriptive and
thematic metadata.
Copyright © 2011 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords: Ontology, Hypervideo, Thematic Segmentation.
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