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Research ArticleOpen accessIn the abstractEffects of Pollutant Diesel Fuels on Neurobehavioral Performance among Workers in Locomotive DepotAnuar Ithnin, Radiah Abu Hasan Shaari, Mazrura Sahani et al.Problem statement: Diesel fuel contains various combinations of hydrocarbons such as cyclohexane, n-hexane, benzene and toluene which can cause health problems in major exposure of that pollutant in locomotive depots. Studies were conducted to evaluate the exposure towards diesel fuel pollutant and the effect on neurobehavioral performances among workers in locomotive depots. Approach: Method used was questionnaire form and neurobehavioral … …American Journal of Environmental Sciences, Vol. 7, Issue 3 · 11 Jul 2011 · 7,458 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Artificial Immune System with Artificial Neural Network for Predicting Bombay Stock Exchange TrendsM. Gunasekaran, K. S. RamaswamiProblem statement: The purpose of this study is to develop an artificial immune system for recognizing stock market trends and predict upward and downward directions of stock market. This study compared two prediction models, an Artificial Immune System (AIS) and Artificial Neural Network (ANN) for predicting the future index value, trend of Indian stock market and discovers the best prediction … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 7,075 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Multimodal Biometric Authentication Using Fast Fingerprint Verification and Enhanced Iris FeaturesA. Jameer Basha, V. Palanisamy, T. PurusothamanProblem statement: The accuracy of biometric systems varies with the kind of biometric feature used in it. The Unmoral biometric system is prone to interclass variations. Approach: We implement Multimodal biometric systems to overcome the limitations by using multiple pieces of evidence of the same identity. However, the multimodal biometric system is limited to the time constraints due to its … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,619 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient and Effective Immune Based ClassifierShahram Golzari, Shyamala Doraisamy, Md Nasir Sulaiman, Nur Izura UdzirProblem statement: Artificial Immune Recognition System (AIRS) is most popular and effective immune inspired classifier. Resource competition is one stage of AIRS. Resource competition is done based on the number of allocated resources. AIRS uses a linear method to allocate resources. The linear resource allocation increases the training time of classifier. Approach: In this study, a new nonlinear resource allocation … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,768 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Pre-Processing and Classification Techniques for Single-Trial and Multi-Trial P300-Based Brain Computer InterfacesChanan S. Syan, Randy E.S. HarnarinesinghThe P300 component of Event Related Brain Potentials (ERP) is commonly used in Brain Computer Interfaces (BCI) to translate the intentions of an individual into commands for external devices. The P300 response, however, resides in a signal environment of high background noise. Consequently, the main problem in developing a P300-based BCI lies in identifying the P300 response in the presence … …American Journal of Applied Sciences, Vol. 7, Issue 9 · 30 Sep 2010 · 7,570 accessesView PDFCite
Research ArticleOpen accessIn the abstractParallel Calculation Sensitivity Function for Multi Tasking EnvironmentsHamed Al Rjoub, Ahmed Al-Sha'orProblem statement: Calculating sensitive functions for a large dimension control system to find the unknowns vectors for a linear system in both single and multi processors, is not considered internally compatible with multi tasking environments, so breaking the process can cost time and memory and it couldn't be paused, resumed and saved as patterns for later continuity. This study is … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Aug 2010 · 6,445 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Design and Implementation of a Novel Skew Scenario Model in Mobile Ad Hoc NetworksN. Vetrivelan, A. V. ReddyProblem statement: In this research, it had been presented a novel Skew Scenario Model that has been developed and implemented for mobile ad hoc networks. There exist several mobility patterns that try to capture the behavior of the mobile devices under different circumstances, whereas in our work, the direction movement of the nodes is significantly specified horizontally, vertically and diagonally … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 6,922 accessesView PDFCite
Research ArticleOpen accessIn the abstractNasal Administration of Quercetin Liposomes Modulate Cognitive Impairment and Inhibit Acetylcholinesterase Activity in HippocampusTerdthai Tong-Un, Supaporn Muchimapura, Wathita Phachonpai, Jintanaporn WattanathornProblem statement: Oxidative stress is a major factor implicated in the degeneration of cholinergic neurons in Alzheimer’s Disease (AD). Several reports have indicated that antioxidant intake is beneficial to delay or inhibit the progression of this disease. Presently, Acetylcholinesterase (AChE) inhibitors are the mainstay of therapy for AD. Quercetin, one of the flavonoids in fruits and vegetables, has a powerful … …Neuroscience International, Vol. 1, Issue 1 · 30 Jun 2010 · 7,170 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach to Signal Detection of Sensor Array Units Using 5-3-1 Rule Based Matched Filter Algorithm with Intelligent IdentifiersMahmoud Z. IskandaraniA novel approach to signal detection and identification was developed and tested. The new algorithm was based on provision of tagging a Matched Filter (MF) with identifiers to recognize the source signal with and without noise, so that classification can be carried out. The algorithm was applied successfully to chemical Sensor Array Units (SAU). Problem statement: Signals obtained from chemical … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 2 · 30 Jun 2010 · 7,835 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Trust System Based on Multi Level Virus DetectionYasmine H. Abdul-AmirProblem statement: As these detection methods were developed and implemented, the virus developers adapted to the new detectors in ways intended to defeat them. Approach: This study introduced new multilevel virus detection (MDS). Results: This system model depended on an advance behavior blocking technology. It detected virus-code by a behavior approach monitors and determined a virus activity at several protection … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 6,853 accessesView PDFCite