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Research ArticleOpen accessIn the abstractGenetic Algorithm Based Probabilistic Motif Discovery in Unaligned Biological SequencesM. Hemalatha, K. VivekanandanFinding motif in biosequences is the most important primitive operation in computational biology. There are many computational requirements for a motif discovery algorithm such as computer memory space requirement and computational complexity. To overcome the complexity of motif discovery, we propose an alternative solution integrating genetic algorithm and Fuzzy Art machine learning approaches for eliminating multiple sequence alignment process. Problem … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,729 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnimation of Natural Language Specifications of Authentication ProtocolsMabroka A. Mayouf, Zarina ShukurProblem Statement: A few visualization tools have been created for protocol design and analysis. Although these tools provide an environment for designing security protocols, each one has its own protocol definition language (its also called informal specification language). The problem is that the user should understand the language which related to the used tool in order to define an exist … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 6,731 accessesView PDFCite
Research ArticleOpen accessIn the abstractDirect Model Reference Adaptive Controller Based-On Neural-Fuzzy Techniques for Nonlinear Dynamical SystemsHafizah Husain, Marzuki Khalid, Rubiyah YusofThis paper presents a direct neural-fuzzy-based Model Reference Adaptive Controller (MRAC) for nonlinear dynamical systems with unknown parameters. The two-phase learning is implemented to perform structure identification and parameter estimation for the controller. In the first phase, similarity index-based fuzzy c-means clustering technique extracts the fuzzy rules in the premise part for the neural-fuzzy controller. This technique enables the recruitment … …American Journal of Applied Sciences, Vol. 5, Issue 7 · 31 Jul 2008 · 6,939 accessesView PDFCite
Research ArticleOpen accessIn the abstractMalaysian Students' Preferences to Online Products and Services on the Internet: An empirical studyPaul H.P. Yeow, Ali Khatibi, Jayanty KuppusamyThe study aims to discover the preferences of Student Internet Users (SIUs) for Online Products and Services (OPS) and research into the demographic factors that affect SIUs’ preferences. A questionnaire survey was conducted on 800 SIUs from private institutions of higher learning in Malaysia, an Industrially Developing Country (IDC). Parametric statistical methods were used to analyze the survey data. It … …Journal of Social Sciences, Vol. 4, Issue 2 · 30 Jun 2008 · 7,940 accessesView PDFCite
Research ArticleOpen accessIn the abstractFramework of Regression-Based Graph Matrix Analysis Approach in Multi-Relational Social Network ProblemFord Lumban Gaol, Belawati WidjajaCommunity mining is one of the major directions in social network analysis. Social network analysis has attracted much attention in recent years. Most of the existing methods on community mining assume that there is only one kind of relation in the network and moreover, the mining results are independent of the users’ needs or preferences. However, in reality, there exist … …Journal of Mathematics and Statistics, Vol. 4, Issue 1 · 31 Mar 2008 · 6,922 accessesView PDFCite
Research ArticleOpen accessIn the abstractMapping UML Component Specifications to JEE ImplementationsJyhjong LinComponent-based Software Engineering (CbSE) has become a well-accepted approach for developing complex software systems due to its significant advantages on composition and reuse. In practice, however, its use still requires the conjunction of a component specification method that describes how system requirements are satisfied in terms of software components. Such a component specification is then implemented in a variety of … …Journal of Computer Science, Vol. 3, Issue 10 · 31 Oct 2007 · 6,478 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdoption of Peer-To-Peer Assessment in a Computing Skills CourseMansoor Al-A'aliThe process of peer-to-peer assessment brings great benefits to the teaching and learning process. This paper presents a peer assessment model which was applied to students enrolled in a generic computing skills course. In order to measure the effectiveness of this proposed model, students had to evaluate their colleagues based on predefined criteria and a comparison is presented between the … …American Journal of Applied Sciences, Vol. 4, Issue 10 · 31 Oct 2007 · 6,397 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Speech Pathology Therapy Computer Aided SystemZ. A. Benselama, M. Guerti, M. A. BencherifThis article concerns a computer aided pathological speech therapy program, based on speech models such as the hidden Markov model and artificial intelligence networks, in order to help persons, suffering from language pathologies, follow a correction learning process, with different interactive feedbacks, aiming to evaluate the degree of evolution of the illness or the therapy. We dealt with the Arabic … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,934 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Control of Robotic Manipulators with Improvement of the Transient Behavior Through an Intelligent Supervision of the Free-Design Parameters and the Sampling PeriodM. De La Sen, A. Almansa, J.C. SotoAn adaptive control scheme for mechanical manipulators proposed. The control loop consists of a network for learning the robot's inverse dynamics and on-line generating the control signal. Some simulation results were provided to evaluate the design. A supervisor was used to improve the performances of the system during the adaptation transients. The supervisor exerts two supervisory actions. The first one … …American Journal of Applied Sciences, Vol. 4, Issue 6 · 30 Jun 2007 · 6,881 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting River Flow in the USA: A Comparison between Auto-Regression and Neural Network Non-Parametric ModelsAbdel K.M. Baareh, Alaa F. Sheta, Khaled A. KhnaifesForecasting a time series became one of the most challenging tasks to variety of data sets. The existence of large number of parameters to be estimated and the effect of uncertainty and outliers in the measurements makes the time series modeling too complicated. Recently, Artificial Neural Network (ANN) became quite successful tool to handle time series modeling problem. This paper … …Journal of Computer Science, Vol. 2, Issue 10 · 31 Oct 2006 · 6,962 accessesView PDFCite