Authors: C. Ardil

Abstract:

Keywords: Open science, open data, open access, cyberscience , cybertechnology.

Authors: Selim Yannier, Asif Sabanovic, Ahmet Onat, Muhammet Bastan

Abstract:

Keywords: Autonomous Mobile Robot, Behavior Based Control, Fast Local Obstacle Avoidance, Sliding Mode Control.

Authors: Abhijit Mitra

Abstract:

we propose a new normalized LMS (NLMS) algorithm, which gives satisfactory performance in certain applications in comaprison with con-ventional NLMS recursion. This new algorithm can be treated as a block based simplification of NLMS algorithm with significantly reduced number of multi¬ply and accumulate as well as division operations. It is also shown that such a recursion can be easily implemented in block floating point (BFP) arithmetic, treating the implementational issues much efficiently. In particular, the core challenges of a BFP realization to such adaptive filters are mainly considered in this regard. A global upper bound on the step size control parameter of the new algorithm due to BFP implementation is also proposed to prevent overflow in filtering as well as weight updating operations jointly.

Keywords: Adaptive algorithm, Block floating point arithmetic, Implementation issues, Normalized least mean square methods

Authors: Tianchai Suksri, U-thai Sritheeravirojana, Arjin Numsomran, Viriya Kongrattana, Thongchai Werataweemart

Abstract:

Keywords: CRA, Quadruple-Tank.

Authors: Markus Kaiser, Johannes Buchmann

Abstract:

In this paper we explore the application of a formal proof system to verification problems in cryptography. Cryptographic properties concerning correctness or security of some cryptographic algorithms are of great interest. Beside some basic lemmata, we explore an implementation of a complex function that is used in cryptography. More precisely, we describe formal properties of this implementation that we computer prove. We describe formalized probability distributions (o--algebras, probability spaces and condi¬tional probabilities). These are given in the formal language of the formal proof system Isabelle/HOL. Moreover, we computer prove Bayes' Formula. Besides we describe an application of the presented formalized probability distributions to cryptography. Furthermore, this paper shows that computer proofs of complex cryptographic functions are possible by presenting an implementation of the Miller- Rabin primality test that admits formal verification. Our achievements are a step towards computer verification of cryptographic primitives. They describe a basis for computer verification in cryptography. Computer verification can be applied to further problems in crypto-graphic research, if the corresponding basic mathematical knowledge is available in a database.

Keywords: prime numbers, primality tests, (conditional) proba¬bility distributions, formal proof system, higher-order logic, formal verification, Bayes' Formula, Miller-Rabin primality test.

Authors: Stefan Rass

Abstract:

Keywords: Meet-in-the-middle attack, quantum key distribution, quantum networks, unconditionally secure authentication.

Authors: Omessaad Hamdi, Ammar Bouallegue, Sami Harari

Abstract:

Keywords: Public, cryptosystem, cryptanalisis, HFE.

Authors: Antonio Di Leva, Carla Reyneri, Michele Sonnessa

Abstract:

Keywords: Decision Support Systems, Ontology, Healt Care, Clinical Pathway

Authors: Hadi Seyedarabi, Ali Aghagolzadeh, Sohrab Khanmohammadi

Abstract:

Keywords: Deformable face model, facial animation, facialcharacteristic points, optical flow.

Authors: Mustafa Resa Becan, Ahmet Kuzucu

Abstract:

Keywords: Fuzzy, noise effect, predictive, pursuit.

Authors: Rafet Akdeniz, Pınar Tüfekçi, B.Sıddık Yarman

Abstract:

Keywords: ECG Compression, EKG Compression.

Authors: Sadi Vural, Hiromi Tomii, Hironori Yamauchi

Abstract:

Keywords: Decoder, Digital content, JPEG2000 Frame, System-On-Chip and additional watermark.

Authors: A. Ben Abdallah, H. Essabbah, M. H. Bedoui

Abstract:

The myocardial sintigraphy is an imaging modality which provides functional informations. Whereas, coronarography modality gives useful informations about coronary arteries anatomy. In case of coronary artery disease (CAD), the coronarography can not determine precisely which moderate lesions (artery reduction between 50% and 70%), known as the “gray zone", are haemodynamicaly significant. In this paper, we aim to define the relationship between the location and the degree of the stenosis in coronary arteries and the observed perfusion on the myocardial scintigraphy. This allows us to model the impact evolution of these stenoses in order to justify a coronarography or to avoid it for patients suspected being in the gray zone. Our approach is decomposed in two steps. The first step consists in modelling a coronary artery bed and stenoses of different location and degree. The second step consists in modelling the left ventricle at stress and at rest using the sphercical harmonics model and myocardial scintigraphic data. We use the spherical harmonics descriptors to analyse left ventricle model deformation between stress and rest which permits us to conclude if ever an ischemia exists and to quantify it.

Keywords: Spherical harmonics model, vascular bed, 3D reconstruction, left ventricle, myocardial scintigraphy.

Authors: Kamil Aida-zade, C. Ardil

Abstract:

Keywords: Feedback control, distributed systems, smooth optimization methods, lumped control synthesis.

Authors: K. P. Csányi, L. T. Kóczy, D. Tikk

Abstract:

Keywords: Telecommunication, telecommunication supervisionsystems, umbrella systems

Authors: Jebari Chaker, Ounalli Habib

Abstract:

Keywords: categorization rule, document categorization, flexible categorization, logical structure.

Authors: Mohammad S. Laghari, Qurban A. Memon, Gulzar A. Khuwaja

Abstract:

Keywords: Computer vision, knowledge based systems, morphology, wear particles.

Authors: Yong-can Cao, Wei-dong Zhang

Abstract:

To deal with random delays in Networked Control System (NCS), Modified Fuzzy PID Controller is introduced in this paper to implement real-time control adaptively. Via adjusting the control signal dynamically, the system performance is improved. In this paper, the design process and the ultimate simulation results are represented. Finally, examples and corresponding comparisons prove the significance of this method.

Keywords: Fuzzy Control, Networked Control System, PID, Random Delays

Authors: Wudhichai Assawinchaichote, Sing Kiong Nguang

Abstract:

This paper investigates the problem of designing a robust state-feedback controller for a class of uncertain Markovian jump nonlinear systems that guarantees the L2-gain from an exogenous input to a regulated output is less than or equal to a prescribed value. First, we approximate this class of uncertain Markovian jump nonlinear systems by a class of uncertain Takagi-Sugeno fuzzy models with Markovian jumps. Then, based on an LMI approach, LMI-based sufficient conditions for the uncertain Markovian jump nonlinear systems to have an H performance are derived. An illustrative example is used to illustrate the effectiveness of the proposed design techniques.

Keywords: Robust H, Fuzzy Control, Markovian Jump Systems, LMI.

Authors: A.S. Rebaï, M. Elloumi

Abstract:

Keywords: Shortest approximate common superstring, approximation algorithms, strings overlaps, complexities.

Authors: Kamil Aida-zade, C. Ardil

Abstract:

Keywords: dynamic objects, ordinary differential equations, multipoint unshared edge conditions, quadratic programming, conditions shift

Authors: Karamitsos Ioannis, Orfanidis Konstantinos

Abstract:

Keywords: Blackout, Generator, Load, Power Load.

Authors: S. Kotsiantis, E. Koumanakos, D. Tzelepis, V. Tampakas

Abstract:

Keywords: Machine learning, stacking, classifier.

Authors: S. B. Kotsiantis, D. Kanellopoulos, P. E. Pintelas

Abstract:

Keywords: Data mining, feature selection, data cleaning.

Authors: Theologos Athanaselis, Stelios Bakamidis, Ioannis Dologlou

Abstract:

Keywords: Statistical language model, N-grams, emotionallycoloured speech

Authors: Theologos Athanaselis, Stelios Bakamidis, Ioannis Dologlou

Abstract:

Keywords: Permutations filtering, Statistical languagemodel N-grams, Word order errors

Authors: Muhammed Yousoof, Mohd Sapiyan, Khaja Kamaluddin

Abstract:

Keywords: Cognitive Load, Instructional Models, LearningStyles, Program Visualization.

Authors: Ganesan V.

Abstract:

Application of Expert System in the area of agriculture would take the form of Integrated Crop Management decision aids and would encompass water management, fertilizer management, crop protection systems and identification of implements. In order to remain competitive, the modern farmer often relies on agricultural specialists and advisors to provide information for decision-making. An expert system normally composed of a knowledge base (information, heuristics, etc.), inference engine (analyzes knowledge base), and end user interface (accepting inputs, generating outputs). Software named 'CROP-9-DSS' incorporating all modern features like, graphics, photos, video clippings etc. has been developed. This package will aid as a decision support system for identification of pest and diseases with control measures, fertilizer recommendation system, water management system and identification of farm implements for leading crops of Kerala (India) namely Coconut, Rice, Cashew, Pepper, Banana, four vegetables like Amaranthus, Bhindi, Brinjal and Cucurbits. 'CROP-9-DSS' will act as an expert system to agricultural officers, scientists in the field of agriculture and extension workers for decision-making and help them in suggesting suitable recommendations.

Keywords: Diagnostic, inference engine, knowledge base and user interface.

Authors: Muhammed Yousoof, Mohd Sapiyan, Khaja Kamaluddin

Abstract:

Keywords: Cognitive load, concept maps, working memory, split attention effect, partial code programs.

Authors: Chung-Hsin Huang, Chien-Ching Chiu, Chun Jen Lin

Abstract:

Keywords: Slab Medium, Unrelated Illumination Method, TEWave Illumination, Inhomogeneous Cylinders.

Authors: Yu-Shuai Chen , Chien-Ching Chiu , Chung-Hsin Huang, Chien-Hung Chen

Abstract:

Keywords: UWB, multipath, outage probability.

Authors: Mahdi Masoumi, Mehrdad Ardebilipoor, Seyed Aidin Bassam

Abstract:

This paper proposes a novel frequency offset (FO) estimator for orthogonal frequency division multiplexing. Simplicity is most significant feature of this algorithm and can be repeated to achieve acceptable accuracy. Also fractional and integer part of FO is estimated jointly with use of the same algorithm. To do so, instead of using conventional algorithms that usually use correlation function, we use DFT of received signal. Therefore, complexity will be reduced and we can do synchronization procedure by the same hardware that is used to demodulate OFDM symbol. Finally, computer simulation shows that the accuracy of this method is better than other conventional methods.

Keywords: DFT, Estimator, Frequency Offset, IEEE802.11a, OFDM.

Authors: Khaja Kamaluddin, Muhammed Yousoof

Abstract:

Keywords: Bandwidth allocation, Virtual Channel (VC), CBR, ABR, MCR and QOS.

Authors: Lu Yanhui, Zhang Lizhi, Yin Changchuan, Yue Guangxin

Abstract:

Keywords: OFDMA, adaptive radio resource allocation, QoS.

Authors: Khaja Kamaluddin, Muhammed Yousoof

Abstract:

Keywords: Layered Approach, Bandwidth allocation, CBR, ABR, QOS.

Authors: Lu Yanhui, Wang Chunming, Yin Changchuan, Yue Guangxin

Abstract:

Keywords: OFDMA, adaptive radio resource allocation, scheduling, QoS.

Authors: Y. Shpungin

Abstract:

Estimating the reliability of a computer network has been a subject of great interest. It is a well known fact that this problem is NP-hard. In this paper we present a very efficient combinatorial approach for Monte Carlo reliability estimation of a network with unreliable nodes and unreliable edges. Its core is the computation of some network combinatorial invariants. These invariants, once computed, directly provide pure and simple framework for computation of network reliability. As a specific case of this approach we obtain tight lower and upper bounds for distributed network reliability (the so called residual connectedness reliability). We also present some simulation results.

Keywords: Combinatorial invariants, Monte Carlo simulation, reliability, unreliable nodes and unreliable edges.

Authors: Pisit Boonsrimuang, Arjin Numsomran, Tawil Paungma, Hideo Kobayashi

Abstract:

Keywords: OFDM, PAPR, dummy sub-carriers, non-linear

Authors: Masataka Ohta

Abstract:

The Internet telephony employs a new type of Internet communication on which a mutual communication is realized by establishing sessions. Session Initiation Protocol (SIP) is used to establish sessions between end-users. For unreliable transmission (UDP), SIP message should be retransmitted when it is lost. The retransmissions increase a load of the SIP signaling network, and sometimes lead to performance degradation when a network is overloaded. The paper proposes an overload control for a SIP signaling network to protect from a performance degradation. Introducing two thresholds in a queue of a SIP proxy server, the SIP proxy server detects a congestion. Once congestion is detected, a SIP signaling network restricts to make new calls. The proposed overload control is evaluated using the network simulator (ns-2). With simulation results, the paper shows the proposed overload control works well.

Keywords: SIP signalling congestion overload control retransmission throughput simulation.

Authors: Kee-Leong Tan, Cheng-Suan Lee, Hui-Na Chua

Abstract:

Keywords: Web service, discovery, semantic, SOA, registry, UDDI.

Authors: Hossam el-ddin Mostafa, Pavel Čičak

Abstract:

Keywords: Amigos, BER-systems, ns-2 implementation, packetlosses, registration process, roaming.

Authors: Marko Mailand, Hans-Joachim Jentschel

Abstract:

Keywords: receivers, analog front-end, heterodyning, self-mixing.

Authors: Hossam el-ddin Mostafa, Pavel Čičak

Abstract:

Keywords: Cisco configuration, handoff, packet delay, Petri-Nets, registration process, Simulink.

Authors: S. Arrizabalaga, A. Salterain, M. Domínguez, I. Alvaro

Abstract:

Traditionally, Internet has provided best-effort service to every user regardless of its requirements. However, as Internet becomes universally available, users demand more bandwidth and applications require more and more resources, and interest has developed in having the Internet provide some degree of Quality of Service. Although QoS is an important issue, the question of how it will be brought into the Internet has not been solved yet. Researches, due to the rapid advances in technology are proposing new and more desirable capabilities for the next generation of IP infrastructures. But neither all applications demand the same amount of resources, nor all users are service providers. In this way, this paper is the first of a series of papers that presents an architecture as a first step to the optimization of QoS in the Internet environment as a solution to a SMSE's problem whose objective is to provide public service to internet with certain Quality of Service expectations. The service provides new business opportunities, but also presents new challenges. We have designed and implemented a scalable service framework that supports adaptive bandwidth based on user demands, and the billing based on usage and on QoS. The developed application has been evaluated and the results show that traffic limiting works at optimum and so it does exceeding bandwidth distribution. However, some considerations are done and currently research is under way in two basic areas: (i) development and testing new transfer protocols, and (ii) developing new strategies for traffic improvements based on service differentiation.

Keywords: Differentiated Services, Linux, Quality of Service, queueing disciplines, web application.

Authors: Susmi Routray, A. M. Sherry, B. V. R. Reddy

Abstract:

Keywords: Asynchronous Transfer Mode(ATM), GeneticAlgorithm(GA), Tabu Search(TS).

Authors: Wararat Rungworawut, Twittie Senivongse

Abstract:

Keywords: Business Process Model, Model DrivenArchitecture, Ontology, UML Class Diagram.

Authors: Claudiu N.Musat

Abstract:

Due to the constant increase in the volume of information available to applications in fields varying from medical diagnosis to web search engines, accurate support of similarity becomes an important task. This is also the case of spam filtering techniques where the similarities between the known and incoming messages are the fundaments of making the spam/not spam decision. We present a novel approach to filtering based solely on layout, whose goal is not only to correctly identify spam, but also warn about major emerging threats. We propose a mathematical formulation of the email message layout and based on it we elaborate an algorithm to separate different types of emails and find the new, numerically relevant spam types.

Keywords: Clustering, layout, k-means, spam.

Authors: Poonam Garg, Aditya Shastri, D.C. Agarwal

Abstract:

Keywords: Genetic Algorithm, Knapsack cipher, Key search.

Authors: Eakong Atiptamvaree, Twittie Senivongse

Abstract:

Keywords: Business Process Model, Managerial Goals, ProcessComponent.

Authors: Satean Tunyasrirut, Tianchai Suksri, Arjin Numsomran, Supan Gulpanich, Kitti Tirasesth

Abstract:

Keywords: Coupled-Tank, Interacting water level process, PIDController, Auto-tuning.

Authors: Namchul Do, Gyeongseok Chae

Abstract:

Keywords: HW and SW Development Integration, ProductDevelopment with Software.

Authors: Cyrille Lambert, Tatiana Kalganova, Emanuele Stomeo

Abstract:

Keywords: Evolvable hardware, evolutionary computation, FPGA systems.

Authors: R. Sharma, M. Gopal

Abstract:

Keywords: Fictitious Play, Cautious Fictitious Play, InvertedPendulum, Controller, Markov Games, Mobile Robot.

Authors: Konstantin Movsovic, Emanuele Stomeo, Tatiana Kalganova

Abstract:

Keywords: Evolvable hardware, evolutionary algorithm, digitallogic circuit, mutation rate.

Authors: Choon Ki Ahn, Jung Hun Park, Wook Hyun Kwon

Abstract:

Keywords: CEMTool, Finite element method (FEM), Numericalanalysis, Partial differential equation (PDE)

Authors: R. Sharma, M. Gopal

Abstract:

Keywords: Markov Decision Process (MDP), Mobile robot, Policy iteration, Simulation.

Authors: Taweepol Suesut, Arjin Numsomran, Vittaya Tipsuwanporn

Abstract:

Keywords: Distributed Real-Time Automation, Machine Visionand Ethernet.

Authors: Ventura Assuncao

Abstract:

Keywords: Automotive systems, neuro-hybrid models, demodulator, nonlinear systems, identification, and neural networks.

Authors: Nicolás H. Beltrán, Manuel A. Duarte-Mermoud, Víctor A. Soto, Sebastián A. Salah, and Matías A. Bustos

Abstract:

Keywords: Feature extraction techniques, Pattern recognitiontechniques, Principal component analysis, Radial basis functionsneural networks, Wine classification.

Authors: Marina Velikova, Hennie Daniels, Ad Feelders

Abstract:

Keywords: Mixture models, monotone neural networks, partially monotone models, partially monotone problems.

Authors: Safaa R. Amer

Abstract:

Missing data yields many analysis challenges. In case of complex survey design, in addition to dealing with missing data, researchers need to account for the sampling design to achieve useful inferences. Methods for incorporating sampling weights in neural network imputation were investigated to account for complex survey designs. An estimate of variance to account for the imputation uncertainty as well as the sampling design using neural networks will be provided. A simulation study was conducted to compare estimation results based on complete case analysis, multiple imputation using a Markov Chain Monte Carlo, and neural network imputation. Furthermore, a public-use dataset was used as an example to illustrate neural networks imputation under a complex survey design

Keywords: Complex survey, estimate, imputation, neural networks, variance.

Authors: Willem Waegeman, Luc Boullart

Abstract:

Keywords: Ordinal regression, support vector machines, ensemblelearning.

Authors: Petia Georgieva, Sebastião Feyo de Azevedo

Abstract:

This paper is focused on issues of nonlinear dynamic process modeling and model-based predictive control of a fed-batch sugar crystallization process applying the concept of artificial neural networks as computational tools. The control objective is to force the operation into following optimal supersaturation trajectory. It is achieved by manipulating the feed flow rate of sugar liquor/syrup, considered as the control input. A feed forward neural network (FFNN) model of the process is first built as part of the controller structure to predict the process response over a specified (prediction) horizon. The predictions are supplied to an optimization procedure to determine the values of the control action over a specified (control) horizon that minimizes a predefined performance index. The control task is rather challenging due to the strong nonlinearity of the process dynamics and variations in the crystallization kinetics. However, the simulation results demonstrated smooth behavior of the control actions and satisfactory reference tracking.

Keywords: Feed forward neural network, process modelling, model predictive control, crystallization process.

Authors: Achela K. Fernando, Xiujuan Zhang, Peter F. Kinley

Abstract:

Keywords: Artificial Neural Networks, Back-propagationlearning, Combined sewer overflows, Forecasting.

Authors: Sofien Chtourou, Mohamed Chtourou, Omar Hammami

Abstract:

Keywords: Address, data set, memory, prediction, recurrentneural network.

Authors: Lewis E. Hibell, Honghai Liu, David J. Brown

Abstract:

Keywords: Image Enhancement, Neural Networks, Multi-Frame.

Authors: C. Lodato, S. Lopes

Abstract:

Keywords: Motion Detection, Object Extraction, Optical Flow, Segmentation.

Authors: Michela Lecca

Abstract:

System MEMORI automatically detects and recognizes rotated and/or rescaled versions of the objects of a database within digital color images with cluttered background. This task is accomplished by means of a region grouping algorithm guided by heuristic rules, whose parameters concern some geometrical properties and the recognition score of the database objects. This paper focuses on the strategies implemented in MEMORI for the estimation of the heuristic rule parameters. This estimation, being automatic, makes the system a highly user-friendly tool.

Keywords: Automatic object recognition, clustering, content based image retrieval system, image segmentation, region adjacency graph, region grouping.

Authors: K. Machida, H. Yamada

Abstract:

Displacement measurement was conducted on compact normal and shear specimens made of acrylic homogeneous material subjected to mixed-mode loading by digital image correlation. The intelligent hybrid method proposed by Nishioka et al. was applied to the stress-strain analysis near the crack tip. The accuracy of stress-intensity factor at the free surface was discussed from the viewpoint of both the experiment and 3-D finite element analysis. The surface images before and after deformation were taken by a CMOS camera, and we developed the system which enabled the real time stress analysis based on digital image correlation and inverse problem analysis. The great portion of processing time of this system was spent on displacement analysis. Then, we tried improvement in speed of this portion. In the case of cracked body, it is also possible to evaluate fracture mechanics parameters such as the J integral, the strain energy release rate, and the stress-intensity factor of mixed-mode. The 9-points elliptic paraboloid approximation could not analyze the displacement of submicron order with high accuracy. The analysis accuracy of displacement was improved considerably by introducing the Newton-Raphson method in consideration of deformation of a subset. The stress-intensity factor was evaluated with high accuracy of less than 1% of the error.

Keywords: Digital image correlation, mixed mode, Newton-Raphson method, stress intensity factor.

Authors: Kozak K, M. Kozak, K. Stapor

Abstract:

The k-nearest neighbors (knn) is a simple but effective method of classification. In this paper we present an extended version of this technique for chemical compounds used in High Throughput Screening, where the distances of the nearest neighbors can be taken into account. Our algorithm uses kernel weight functions as guidance for the process of defining activity in screening data. Proposed kernel weight function aims to combine properties of graphical structure and molecule descriptors of screening compounds. We apply the modified knn method on several experimental data from biological screens. The experimental results confirm the effectiveness of the proposed method.

Keywords: biological screening, kernel methods, KNN, QSAR

Authors: U. Bottigli, D.Cascio, F. Fauci, B. Golosio, R. Magro, G.L. Masala, P. Oliva, G. Raso, S.Stumbo

Abstract:

Keywords: Neural Networks, K-Nearest Neighbours, SupportVector Machine, Computer Aided Diagnosis.

Authors: Giovanni Luca Masala

Abstract:

Keywords: Computer Aided Detection, mammary tumor, pattern recognition, thalassemia.

Authors: Abdelouahab Moussaoui, Nabila Ferahta, Victor Chen

Abstract:

Keywords: Clustering, Automatic Classification, SKIZ, MarkovFields, Image segmentation, Maximum Posterior Marginal (MPM).

Authors: Uzair Muhammad, Kashif Bilal, Atif Khan, M. Nasir Khan

Abstract:

Machine Translation (MT 3) of English text to its Urdu equivalent is a difficult challenge. Lot of attempts has been made, but a few limited solutions are provided till now. We present a direct approach, using an expert system to translate English text into its equivalent Urdu, using The Unicode Standard, Version 4.0 (ISBN 0-321-18578-1) Range: 0600–06FF. The expert system works with a knowledge base that contains grammatical patterns of English and Urdu, as well as a tense and gender-aware dictionary of Urdu words (with their English equivalents).

Keywords: Machine Translation, Multiword Expressions, Urdulanguage processing, POS12 Tagging for Urdu, Expert Systems.

Authors: M. Rahmati, S.M. Mirzababaei

Abstract:

Keywords: Data Mining, Firewall, Optimization, Packetclassification, Statistical Pattern Recognition.

Authors: Morteza Moazami-Goudarzi, Mohammad. H. Moradi

Abstract:

Keywords: ECG compression, Multiwavelet, Prefiltering.

Authors: R.N.Pise, S.A.Kulkarni, R.V.Pawar

Abstract:

Keywords: Forwarding equivalence class, incoming label map, label, next hop label forwarding entry.

Authors: Ramaswamy Palaniappan

Abstract:

Keywords: Linear Discriminant, Neural Network, VisualEvoked Potential.

Authors: Ramaswamy Palaniappan, Nai-Jen Huan

Abstract:

Keywords: Autoregressive, Brain-Computer Interface, Electroencephalogram, Neural Network.

Authors: Rekha Kandwal, Kamal K.Bharadwaj

Abstract:

Knowledge is indispensable but voluminous knowledge becomes a bottleneck for efficient processing. A great challenge for data mining activity is the generation of large number of potential rules as a result of mining process. In fact sometimes result size is comparable to the original data. Traditional data mining pruning activities such as support do not sufficiently reduce the huge rule space. Moreover, many practical applications are characterized by continual change of data and knowledge, thereby making knowledge voluminous with each change. The most predominant representation of the discovered knowledge is the standard Production Rules (PRs) in the form If P Then D. Michalski & Winston proposed Censored Production Rules (CPRs), as an extension of production rules, that exhibit variable precision and supports an efficient mechanism for handling exceptions. A CPR is an augmented production rule of the form: If P Then D Unless C, where C (Censor) is an exception to the rule. Such rules are employed in situations in which the conditional statement 'If P Then D' holds frequently and the assertion C holds rarely. By using a rule of this type we are free to ignore the exception conditions, when the resources needed to establish its presence, are tight or there is simply no information available as to whether it holds or not. Thus the 'If P Then D' part of the CPR expresses important information while the Unless C part acts only as a switch changes the polarity of D to ~D. In this paper a scheme based on Dempster-Shafer Theory (DST) interpretation of a CPR is suggested for discovering CPRs from the discovered flat PRs. The discovery of CPRs from flat rules would result in considerable reduction of the already discovered rules. The proposed scheme incrementally incorporates new knowledge and also reduces the size of knowledge base considerably with each episode. Examples are given to demonstrate the behaviour of the proposed scheme. The suggested cumulative learning scheme would be useful in mining data streams.

Keywords: Censored production rules, cumulative learning, data mining, machine learning.

Authors: André Trudel, Haiyi Zhang

Abstract:

Keywords: Constraint logic programming, CSP, logic, temporalreasoning.

Authors: George E. Tsekouras, Evi Sampanikou

Abstract:

Keywords: Aesthetic judgment, comics artists, cluster analysis, categorical data.

Authors: Gideon Avigad, Amiram Moshaiov, Neima Brauner

Abstract:

Keywords: Conceptual solution, engineering design, hierarchical planning, multi-objective search, problem reduction.

Authors: J. P. Dubois, O. M. Abdul-Latif

Abstract:

Keywords: Least Square-Support Vector Machine, SyntheticAperture Radar. Partially Developed Speckle, Multi-Look Model.

Authors: J. P. Dubois, O. M. Abdul-Latif

Abstract:

Support Vector Machine (SVM) is a statistical learning tool that was initially developed by Vapnik in 1979 and later developed to a more complex concept of structural risk minimization (SRM). SVM is playing an increasing role in applications to detection problems in various engineering problems, notably in statistical signal processing, pattern recognition, image analysis, and communication systems. In this paper, SVM was applied to the detection of medical ultrasound images in the presence of partially developed speckle noise. The simulation was done for single look and multi-look speckle models to give a complete overlook and insight to the new proposed model of the SVM-based detector. The structure of the SVM was derived and applied to clinical ultrasound images and its performance in terms of the mean square error (MSE) metric was calculated. We showed that the SVM-detected ultrasound images have a very low MSE and are of good quality. The quality of the processed speckled images improved for the multi-look model. Furthermore, the contrast of the SVM detected images was higher than that of the original non-noisy images, indicating that the SVM approach increased the distance between the pixel reflectivity levels (detection hypotheses) in the original images.

Keywords: LS-SVM, medical ultrasound imaging, partially developed speckle, multi-look model.

Authors: Samraj Andrews, Ramaswamy Palaniappan, Nidal Kamel

Abstract:

Keywords: Electroencephalogram, P3, Single trial VEP.

Authors: Raied Salman, Nazar Younis

Abstract:

Keywords: Management theory, control theory, feed back, input/output, strategy, change, information technology, informationsystems, IS, organizational environment, organizations, opensystems, closed systems.

Authors: Nazar Younis, Raied Salman

Abstract:

Keywords: MIS, management theory, information technology, information systems, IS, organizational environment, organizations, degeneracy, organizational change.

Authors: Dipeng Chen, Qi Li

Abstract:

Keywords: Complex contourlet transform, Complex wavelettransform, Fusion.

Authors: N. Moghadam, H. Sadeghi

Abstract:

Keywords: Content-Based Audio Watermarking, Genetic AudioWatermarking.

Authors: J. P. Dubois, H. M. Chiu

Abstract:

Keywords: ATM, multiplexing, queueing, telemedicine, VBR.

Authors: Sui Xin, Li Chunsheng, Tian Di

Abstract:

Short message integrated distributed monitoring systems (SM-DMS) are growing rapidly in wireless communication applications in various areas, such as electromagnetic field (EMF) management, wastewater monitoring, and air pollution supervision, etc. However, delay in short messages often makes the data embedded in SM-DMS transmit unreliably. Moreover, there are few regulations dealing with this problem in SMS transmission protocols. In this study, based on the analysis of the command and data requirements in the SM-DMS, we developed a processing model for the control center to solve the delay problem in data transmission. Three components of the model: the data transmission protocol, the receiving buffer pool method, and the timer mechanism were described in detail. Discussions on adjusting the threshold parameter in the timer mechanism were presented for the adaptive performance during the runtime of the SM-DMS. This model optimized the data transmission reliability in SM-DMS, and provided a supplement to the data transmission reliability protocols at the application level.

Keywords: Delay, SMS, reliability, distributed monitoringsystem (DMS), wireless communication.

Authors: Haiyi Zhang, Jianli Guo, Daqian Yang

Abstract:

Keywords: Classify Bird Sounds, Noise Filter, High-pass, Lowpass, Band-pass, Band-stop Filter, FIR.

Authors: Salvatore L., Pires B., Campos M. C. M., De Souza Jr M. B.

Abstract:

Keywords: Fault detection, hydrotreatment, hybrid systems, neural networks.

Authors: S. Annadurai, P. Geetha

Abstract:

Keywords: EZW algorithm, lifting scheme, losslesscompression, reversible integer wavelet transform, securetransmission, selective bit scrambling, modified runlength coding .

Authors: Yong-Quan Zhou, Deng-Xu He, Zheng Nong

Abstract:

Keywords: Functional network, neural network, XOR problem, classification, numerical analysis method.

Authors: Praveen Boinee, Alessandro De Angelis, Gian Luca Foresti

Abstract:

Keywords: Ensembles, WEKA, Neural networks [NN], SupportVector Machines [SVM], Random Forests [RF].

Authors: J. P. Dubois, P. G. Jreije

Abstract:

Keywords: Web Security, Internet Voting, Firewall, QoS, Latency, Utilization, Throughput.

Authors: F.J. Suárez, J.C. Granda, J. Molleda, D.F. García

Abstract:

A prototype for audio and video capture and compression in real time on a Linux platform has been developed. It is able to visualize both the captured and the compressed video at the same time, as well as the captured and compressed audio with the goal of comparing their quality. As it is based on free code, the final goal is to run it in an embedded system running Linux. Therefore, we would implement a node to capture and compress such multimedia information. Thus, it would be possible to consider the project within a larger one aimed at live broadcast of audio and video using a streaming server which would communicate with our node. Then, we would have a very powerful and flexible system with several practical applications.

Keywords: Audio and video compression, Linux platform, live streaming, real time, visualization of captured and compressed video.

Authors: Julio Molleda, Daniel F. García, Juan C. Granda, Francisco J. Suárez

Abstract:

Keywords: Classification, Pattern Recognition, ProbabilisticReasoning, Statistical Data Analysis.

Authors: O.M. Mohamed vall, M. Radhi

Abstract:

This work presents a recursive identification algorithm. This algorithm relates to the identification of closed loop system with Variable Structure Controller. The approach suggested includes two stages. In the first stage a genetic algorithm is used to obtain the parameters of switching function which gives a control signal rich in commutations (i.e. a control signal whose spectral characteristics are closest possible to those of a white noise signal). The second stage consists in the identification of the system parameters by the instrumental variable method and using the optimal switching function parameters obtained with the genetic algorithm. In order to test the validity of this algorithm a simulation example is presented.

Keywords: Closed loop identification, variable structure controller, pseud-random binary sequence, genetic algorithms.

Authors: Fereidoon Nowshiravan Rahatabad, Mohammad Hassan Moradi, Vahid Reza Nafisi

Abstract:

Keywords: Computer-Assisted Sperm Analysis (CASA), Spermidentification, Segmentation.

Authors: Cuiran Li, Jianli Xie, Chengshu Li

Abstract:

Keywords: MC-CDMA, Rayleigh fading, Narrowbandinterference, Channel estimation.

Authors: Cuiran Li, Jianli Xie, Chengshu Li

Abstract:

Keywords: Code-division multiple access, Quasi-SynchronousCDMA, Access timing error

Authors: R.V Pawar, P.P.Kajave, S.N.Mali

Abstract:

Keywords: Average Mean Distance function, Backpropogation, Linear Predictive Coding, MultilayeredPerceptron,

Authors: Muhammad Naeem, Syed Ismail Shah, Habibullah Jamal

Abstract:

Keywords: Genetic Algorithm (GA), Multiple AccessInterference (MAI), Multistage Detectors (MSD), SuccessiveInterference Cancellation.

Authors: Sepehr M.H.Jamarani, M.H.Moradi, H.Behnam, G.A.Rezai Rad

Abstract:

Keywords: Breast cancer, neural networks, diagnosis, multiwavelet packet, microcalcification.

Authors: Ahmad T. Al-Taani

Abstract:

Keywords: Expert system, car failure diagnosis, knowledgebasedsystem, CLIPS.

Authors: Kashif Bilal, Uzair Muhammad, Atif Khan, M. Nasir Khan

Abstract:

Keywords: Machine Translation, Multiword Expressions, Urdulanguage processing, POS (stands for Parts of Speech) Tagging forUrdu, Expert Systems.

Authors: Gioacchino Lavanco, Elisabetta Di Giovanni, Floriana Romano

Abstract:

The aim of this paper is to study in depth some methodological aspects of social interventation, focusing on desirable passage from social maternage method to peer advocacy method. For this purpose, we intend analyze social and organizative components, that affect operator's professional action and that are part of his psychological environment, besides the physical and social one. In fact, operator's interventation should not be limited to a pure supply of techniques, nor to take shape as improvised action, but “full of good purposes".

Keywords: Advocacy, education, relationship, social mandate.

Authors: Md. Emaj Uddin

Abstract:

Keywords: Bangladesh, Cross-Cultural Perspective, MaritalDuration, Muslim, Santal, Marital Sexual Frequency.

Authors: Lidia Martínez Murillo

Abstract:

Since the 1990s the American furniture industry faces a transition period. Manufacturers, one of its most important actors made its entrance into the retail industry. This shift has had deep consequences not only for the American furniture industry as a whole, but also for other international furniture industries, especially the Chinese. The present work aims to analyze this actor based on the distinction provided by the Global Commodity Chain Theory. It stresses its characteristics, structure, operational way and importance for both the U.S. and the Chinese furniture industries.

Keywords: M&RC, blended strategy, U.S. furniture industry, Chinese furniture industry.

Authors: Olugbara O.O., Adebiyi A.A.

Abstract:

Keywords: Requirements engineering, Requirements elicitation, Extreme programming, Mobile Work force

Authors: Rinaldo Christian Tanumara, Ming Xie, Chi Kit Au

Abstract:

Keywords: Color categorization, color learning, machinelearning, color naming.

Authors: Konstantinos C. Giotopoulos, Christos E. Alexakos, Grigorios N. Beligiannis, Spiridon D.Likothanassis

Abstract:

Keywords: Bayesian Networks, Computational Intelligencetechniques, E-learning legacy systems, Service Oriented Integration, Intelligent Agents, Genetic Algorithms.

Authors: Yahya H. Zweiri

Abstract:

Keywords: Neural Networks, Backpropagation, Optimization.

Authors: Abdenour Bounsiar, Edith Grall, Pierre Beauseroy

Abstract:

Keywords: rejection, Chow's rule, error-reject tradeoff, SupportVector Machine.

Authors: Sudeept Mohan, Surekha Bhanot

Abstract:

Keywords: Hybrid fuzzy, Self-organizing, Self-tuning, Trajectory tracking.

Authors: Ahmet Denker, Tuğrul Adıgüzel

Abstract:

Keywords: robotics, robot vision, rendezvous planning, self organizingmaps.

Authors: Sandeep Chandana, Rene V. Mayorga

Abstract:

The paper presents a new hybridization methodology involving Neural, Fuzzy and Rough Computing. A Rough Sets based approximation technique has been proposed based on a certain Neuro – Fuzzy architecture. A New Rough Neuron composition consisting of a combination of a Lower Bound neuron and a Boundary neuron has also been described. The conventional convergence of error in back propagation has been given away for a new framework based on 'Output Excitation Factor' and an inverse input transfer function. The paper also presents a brief comparison of performances, of the existing Rough Neural Networks and ANFIS architecture against the proposed methodology. It can be observed that the rough approximation based neuro-fuzzy architecture is superior to its counterparts.

Keywords: Boundary neuron, neuro-fuzzy, output excitation factor, RANFIS, rough approximation, rough neural computing.

Authors: Zhenhuan Zhu, David Mulvaney, Vassilios Chouliaras

Abstract:

A new genetic algorithm, termed the 'optimum individual monogenetic genetic algorithm' (OIMGA), is presented whose properties have been deliberately designed to be well suited to hardware implementation. Specific design criteria were to ensure fast access to the individuals in the population, to keep the required silicon area for hardware implementation to a minimum and to incorporate flexibility in the structure for the targeting of a range of applications. The first two criteria are met by retaining only the current optimum individual, thereby guaranteeing a small memory requirement that can easily be stored in fast on-chip memory. Also, OIMGA can be easily reconfigured to allow the investigation of problems that normally warrant either large GA populations or individuals many genes in length. Local convergence is achieved in OIMGA by retaining elite individuals, while population diversity is ensured by continually searching for the best individuals in fresh regions of the search space. The results given in this paper demonstrate that both the performance of OIMGA and its convergence time are superior to those of a range of existing hardware GA implementations.

Keywords: Genetic algorithms, genetic hardware, machinelearning.

Authors: Cyrille Lambert, Tatiana Kalganova, Emanuele Stomeo, Manissa Wilson

Abstract:

Keywords: Evolvable Hardware, Evolutionary Strategy, multiboardFPGA system.

Authors: Razib M. Othman, Safaai Deris, Rosli M. Illias, Hany T. Alashwal, Rohayanti Hassan, FarhanMohamed

Abstract:

Keywords: Gene Ontology, Semantic similarity measure, Genetic algorithm, Ontology search

Authors: Sung-Hae Jun, Kyung-Whan Oh

Abstract:

Keywords: Evolutionary computing, Local optima, Over-fitting, Statistical learning theory

Authors: József Valyon, Gábor Horváth

Abstract:

Keywords: Function estimation, Least–Squares Support VectorMachines, Regression, System Modeling

Authors: P. Georgieva, S. Feyo de Azevedo

Abstract:

Keywords: artificial neural networks, nonlinear model control, process identification, crystallization process

Authors: Thienhuong Hoang

Abstract:

This qualitative, quantitative mixed-method study explores how students- motivation and interest in creative hands-on activities affected their conceptual understanding of science. The objectives of this research include developing a greater understanding about how creative activities, incorporated into the classroom as instructional strategies, increase student motivation and their learning or mastery of science concepts. The creative activities are viewed as a motivational tool, a specific type of task, which have an impact on student goals. Pre-and-post tests, pre-and-post interviews, and student responses measure motivational-goal theory variables, interest in the activity, and conceptual change. Implications for education and future research will be discussed.

Keywords: Science education, motivation, conceptual understanding, instructional strategies.

Authors: Nathaniel Bryan

Abstract:

American public schools should be the place that reflects America-s diverse society. The recent Supreme Court decision to discontinue the use of race as a factor in school admission policies has caused major setbacks in America-s effort to repair its racial divide, to improve public schools, and to provide opportunities for all people, regardless of race or creed. However, educators should not allow such legal decision to hinder their ability to teach children tolerance of others in schools and classrooms in America.

Keywords: Race, Supreme Court, injustice, racial quotas.

Authors: Kazuo Komatsu, Hitoshi Takata

Abstract:

Keywords: Formal Linearization, LQ Control, Nonlinear Control, Taylor Expansion, Zero Function.

Authors: M. Sedighizadeh, A. Rezazadeh

Abstract:

Batteries and fuel cells contain a great potential to back up severe photovoltaic power fluctuations under inclement weather conditions. In this paper comparison between batteries and fuel cells is carried out in detail only for their PV power backup options, so their common attributes and different attributes is discussed. Then, the common and different attributes are compared; accordingly, the fuel cell is selected as the backup of Photovoltaic system. Finally, environmental evaluation of the selected hybrid plant was made in terms of plant-s land requirement and lifetime CO2 emissions, and then compared with that of the conventional fossilfuel power generating forms.

Keywords: Fuel cell, PV cell, hybrid power plant.

Authors: M. Sedighizadeh, A. Rezazadeh

Abstract:

Keywords: Dynamic load, modeling, Voltage Stability.

Authors: M. Sedighizadeh, A. Rezazadeh

Abstract:

Keywords: Adaptive Control, Morlet Wavelets, PEMFC.

Authors: M. Sedighizadeh, A. Rezazadeh

Abstract:

Keywords: Decision Making, Power Generation, ElectricUtilities, Resource Planning.

Authors: M. Sedighizadeh, A. Rezazadeh

Abstract:

Keywords: Load Modelling, Static, Power Flow.

Authors: M. Sedighizadeh, A. Rezazadeh

Abstract:

Keywords: DOIG, Iterative separation, Integral manifolds, Reduced order.

Authors: K. A. Sumithradevi, Vijayalakshmi. M. N., Annamma Abraham., Dr. Vasanta

Abstract:

Keywords: VLSI, Circuit partitioning, DBSCAN, fuzzyARTMAP.

Authors: Mahesh Pal

Abstract:

Keywords: Ensemble learning, decision tree, remote sensingclassification.

Authors: Dursun Aydin

Abstract:

Keywords: Kernel regression, Nonparametric models, Prediction, Smoothing spline.

Authors: Manpreet Singh, Parvinder Singh Sandhu, Basant Raj Singh

Abstract:

Keywords: Coefficient of Parentage, Morphological characters, Pedigree, Genetic Diversity.

Authors: S. Y. Ahmadi-Brooghani, H. Hassanzadeh, P. Kahhal

Abstract:

Keywords: Abrasive water jet machining, Adaptive meshcontrol, Explicit finite elements analysis, Single-particle impact.

Authors: Manpreet Singh, Parvinder Singh Sandhu, Manjinder Singh Kahlon

Abstract:

Keywords: FPGA, Routing, DNA Computing.

Authors: Manpreet Singh, Parvinder Singh, Suman

Abstract:

Keywords: Multidimensional, data precision.

Authors: Jalal Karam

Abstract:

Keywords: Time-Scale, Wavelets, Time-Frequency, Compression, Recognition.

Authors: M. Sadighi, H. Pouriayevali, M. Saadati

Abstract:

This paper describes analysis of low velocity transverse impact on fully backed sandwich beams with composite faces from Eglass/epoxy and cores from Polyurethane or PVC. Indentation on sandwich beams has been analyzed with the existing theories and modeled with the FE code ABAQUS, also loadings have been done experimentally to verify theoretical results. Impact on fully backed has been modeled in two cases of impactor energy with SDOF model (single-degree-of-freedom) and indentation stiffness: lower energy for elastic indentation of sandwich beams and higher energy for plastic area in indentation. Impacts have been modeled by ABAQUS. Impact results can describe response of beam in terms of core and faces thicknesses, core material, indentor energy and energy absorbed. The foam core is modeled using the crushable foam material model and response of the foam core is experimentally characterized in uniaxial compression with higher velocity loading to define quasi impact behaviour.

Keywords: Low velocity impact, fully backed, indentation, sandwich beams, foams, finite element.

Authors: M. Sadighi, H. Pouriayevali, M. Saadati

Abstract:

Keywords: Three point Bending, Indentation, Foams, Composite laminated beam, Sandwich beams, Finite element

Authors: Hui-jun Ren, Da-kun ZHang

Abstract:

VRML( The virtual reality modeling language) is a standard language used to build up 3D virtualized models. The quick development of internet technology and computer manipulation has promoted the commercialization of reality virtualization. VRML, thereof, is expected to be the most effective framework of building up virtual reality. This article has studied plans to build virtualized scenes based on the technology of virtual reality and Java programe, and introduced how to execute real-time data transactions of VRML file and Java programe by applying Script Node, in doing so we have the VRML interactivity being strengthened.

Keywords: VRML, Java, Virtual scene, Script.

Authors: R. Rajeswari, N. Kamaraj

Abstract:

Keywords: Winding InterTurn fault, ANN, ANFIS, and DWT.

Authors: Insung Jung, Gi-Nam Wang

Abstract:

Keywords: Neural network, Back-propagation, classification.

Authors: Insung Jung, Gi-Nam Wang

Abstract:

Keywords: Neural network, U-healthcare, MDSS, CAP, DSS.

Authors: Mohd Amaluddin Yusoff

Abstract:

Keywords: channel equalization filter, Hermite-Rodriguez, pulseshaping filter, quadratic programming.

Authors: Hee Suk Seo, Tae Kyung Kim

Abstract:

Keywords: Mobile Grid, AAA, Mobility Management.

Authors: Hee Suk Seo, Tae Kyung Kim

Abstract:

Keywords: SVDB, PBN, DEVS, Network security.

Authors: Dong-Young Yoo, Jong-Whoi Shin, Jin-Young Choi

Abstract:

Keywords: Home-Network, Security, Vulnerability, Response, Countermeasure.

Authors: Dong-Young Yoo, Jong-Whoi Shin, Gang Shin Lee, Jae-Il Lee

Abstract:

Keywords: Information Security Evaluation Methodology, Critical Information Infrastructure Protection.

Authors: M. H. Kargarnovin, A. Mamandi

Abstract:

This paper presents investigation effects of a sharp edged gust on aeroelastic behavior and time-domain response of a typical section model using Jones approximate aerodynamics for pure plunging motion. Flutter analysis has been done by using p and p-k methods developed for presented finite-state aerodynamic model for a typical section model (airfoil). Introduction of gust analysis as a linear set of ordinary differential equations in a simplified procedure has been carried out by using transformation into an eigenvalue problem.

Keywords: Aeroelastic response, jones approximation, pure plunging motion, sharp edged gust.

Authors: R. Hashemi, M.H.Kargarnovin

Abstract:

Keywords: Genetic Algorithm, Inverse problem, Optimization, Vibration.

Authors: M. H. Kargarnovin, K. Momeni

Abstract:

Keywords: Axial Loading, Composite, Hollow CylindricalFiber, Stress Distribution.

Authors: Kargarnovin M.H., Faghidian S. A, Arghavani J.

Abstract:

Keywords: Circular plate, FGM circular plate, Limit analysis, Lower and Upper bound theorems.

Authors: R. Kazemzadeh, J. M. Kauffmann

Abstract:

Keywords: Power Generation, Energy Conversion, FrequencyControl, Matrix Converter.

Authors: Pavel K. Lopatin, Artyom S. Yegorov

Abstract:

The Algorithm 2 for a n-link manipulator movement amidst arbitrary unknown static obstacles for a case when a sensor system supplies information about local neighborhoods of different points in the configuration space is presented. The Algorithm 2 guarantees the reaching of a target position in a finite number of steps. The Algorithm 2 is reduced to a finite number of calls of a subroutine for planning a trajectory in the presence of known forbidden states. The polynomial approximation algorithm which is used as the subroutine is presented. The results of the Algorithm2 implementation are given.

Keywords: Manipulator, trajectory planning, unknown obstacles.

Authors: O. Younis, J. Pallares, F. X. Grau

Abstract:

This paper presents and discusses the numerical simulations of transient laminar natural convection cooling of high Prandtl number fluids in cubical cavities, in which the six walls of the cavity are subjected to a step change in temperature. The effect of the fluid Prandtl number on the heat transfer coefficient is studied for three different fluids (Golden Syrup, Glycerin and Glycerin-water solution 50%). The simulations are performed at two different Rayleigh numbers (5·106 and 5·107) and six different Prandtl numbers (3 · 105 ≥Pr≥ 50). Heat conduction through the cavity glass walls is also considered. The propsed correlations of the averaged heat transfer coefficient (N u) showed that it is dependant on the initial Ra and almost independent on P r. The instantaneous flow patterns, temperature contours and time evolution of volume averaged temperature and heat transfer coefficient are presented and analyzed.

Keywords: Transient natural convection, High Prandtl number, variable viscosity.

Authors: Nureddin Dinler, Nuri Yucel

Abstract:

Keywords: CFD simulation, eddy break-up model, k-εturbulence model, reciprocating engine flow and combustion.

Authors: J.-C. Créput, A. Koukam, A. Hajjam

Abstract:

Keywords: Evolutionary algorithm, self-organizing map, clustering and vehicle routing.

Authors: Dib Djalel, Haddouche Ali, Chellali Benachiba

Abstract:

Keywords: Lightning, overhead lines, electromagneticcoupling, return stroke, models, induced overvoltages.

Authors: M. Mordjaoui, B. Boudjema, M. Chabane, R. Daira

Abstract:

Keywords: ANFIS modeling technique, magnetic hysteresis, Jiles-Atherton model, ferromagnetic core.

Authors: S. Praveen, P. Sojan Lal

Abstract:

Keywords: Reverse Engineering, Source Code Obfuscation.

Authors: Mazeyanti M. Ariffin, Noreen Izza Arshad, Ainol Rahmah Shaarani, Syed Uzair Shah

Abstract:

Keywords: Knowledge Management, Knowledge Transfer, Help Desk, Web-based system.

Authors: R. Khaniki, M.B. Menhaj, H. Eliasi

Abstract:

Keywords: Generalized Predictive Control (GPC), TemperatureControl, Global Linearizing Control (GLC), Batch Reactor.

Authors: V. S. K. Reddy, S. Sengupta, Y. M. Latha

Abstract:

Keywords: Video Coding, Motion Estimation, Full-Search, Block-Matching, VLSI Architecture.

Authors: Ehab Mourtaga, Ahmad Sharieh, Mousa Abdallah

Abstract:

Keywords: Hidden Markov Model (HMM), MaximumLikelihood Linear Regression (MLLR), Quran, Regression ClassTree, Speech Recognition, Speaker-independent.

Authors: Sumathi Poobal, G. Ravindran

Abstract:

Keywords: DCT, FIC, PIFS, PSNR.

Authors: Ahmad Habibizad Navin, Mehdi Naghian Fesharaki, Mohamad Teshnelab, Ehsan Shahamatnia

Abstract:

Keywords: ABS, Fuzzy controller, PSDS, Time-Memory tradeoff, Data oriented modeling.

Authors: Shiuh-Jer Huang, Ming-Tien Su

Abstract:

Keywords: Fuzzy control, gain tuning and optical disk drive.

Authors: Abdallah S. Abdallah, Mohamad A bou El-Nasr, A. Lynn Abbott

Abstract:

Keywords: Image database, color image analysis, facedetection, skin segmentation.

Authors: Travis Wiens, Greg Schoenau, Rich Burton

Abstract:

Keywords: Control and automation, artificial neural networks, limit cycle

Authors: S. Sutin, M. Jaroensutasinee, K. Jaroensutasinee

Abstract:

Keywords: Water quality, Freshwater fishes, National Park, Khao Luang, Thailand.

Authors: W. Preechaporn, M. Jaroensutasinee, K. Jaroensutasinee

Abstract:

Keywords: Aedes aegypti, Aedes albopictus, Season, Topography.

Authors: S. Chumkiew, W. Srisang, M. Jaroensutasinee, K. Jaroensutasinee

Abstract:

Keywords: Influenza, Climatic Factor, Relative Humidity, Rainy day, Wind Speed.

Authors: F. Nejadebrahimi, M. ArdebiliPour

Abstract:

In this paper, we are going to determine the threshold levels of adaptive modulation in a burst by burst CDMA system by a suboptimum method so that the above method attempts to increase the average bit per symbol (BPS) rate of transceiver system by switching between the different modulation modes in variable channel condition. In this method, we choose the minimum values of average bit error rate (BER) and maximum values of average BPS on different values of average channel signal to noise ratio (SNR) and then calculate the relative threshold levels of them, so that when the instantaneous SNR increases, a higher order modulation be employed for increasing throughput and vise-versa when the instantaneous SNR decreases, a lower order modulation be employed for improvement of BER. In transmission step, by this adaptive modulation method, in according to comparison between obtained estimation of pilot symbols and a set of above suboptimum threshold levels, above system chooses one of states no transmission, BPSK, 4QAM and square 16QAM for modulation of data. The expected channel in this paper is a slow Rayleigh fading.

Keywords: AQAM, burst, BER, BPS, CDMA, threshold.

Authors: N. Ebrahimi-Tofighi, M. ArdebiliPour, M. Shahabadi

Abstract:

Keywords: MIMO system, Performance of system, Signalcorrelation, SIMO system, Wireless channel model.