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503 results for “Cluster”
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Research ArticleOpen accessIn the abstractModeling of Multi-Level Capacitated Lot-Size Scheduling ProblemZuhaimy Ismail, Diyana Abd Mahad, Tan Siew ChingProblem statement: Lot-size is the clustering of items for transportation or manufacturing processes occurring at the same time. The issue in lot-size problem is to design production processes so that the feasible production quantities are equal to customer demand quantities and the timing of production is such that inventory positions are almost zero. Approach: In this study, we explore the … …American Journal of Applied Sciences, Vol. 8, Issue 3 · 25 Mar 2011 · 7,319 accessesView PDFCite
Research ArticleOpen accessIn the abstractTopological Decoupled Group Key Management for Cellular NetworksJorge Estudillo Ramirez, Saul Eduardo Pomares Hernandez, Gustavo Rodriguez Gomez, Jose Roberto Perez CruzProblem statement: The continuous increasing capacity of the cellular networks motivates the development of multiparty applications, such as interactive mobile TV and mobile social networks. For these environments, security group services are required. A practical way to provide security services is by using cryptographic methods. However, the key management needed for these methods, which considers a dynamic group membership, introduces … …Journal of Computer Science, Vol. 7, Issue 3 · 9 Mar 2011 · 6,866 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Modified Gaussian Mixture Model for Color-Texture SegmentationM. Sujaritha, S. AnnaduraiProblem statement: This study presents a new, simple and efficient modified Gaussian mixture model based clustering algorithm for color-texture segmentation. The proposed mixture model introduces a new component density function which incorporates spatial information and the weighting factor for neighborhood effect is fully adaptive to the image content. Approach: It enhances the smoothness towards piecewise-homogeneous segmentation and reduces the edge-blurring … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,329 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Computer Aided Diagnosis System for Lung Cancer Detection\Using Support Vector MachineM. Gomathi, P. ThangarajProblem statement: Computer Tomography (CT) has been considered as the most sensitive imaging technique for early detection of lung cancer. Approach: On the other hand, there is a requirement for automated methodology to make use of large amount of data obtained CT images. Computer Aided Diagnosis (CAD) can be used efficiently for early detection of Lung Cancer. Results: The usage … …American Journal of Applied Sciences, Vol. 7, Issue 12 · 31 Dec 2010 · 8,285 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Resonance Theory Training Parameters: Pretty Good SetsTaisir Mohammad Eldos, Abdulaziz Suleiman AlmazyadProblem statement: ART1 artificial neural networks offer good tools for test clustering, where no expert is needed if the system is well trained. However, having no output reference for the input patterns makes it hard to judge the quality of the training. Moreover, the performance depends to a great extent on a set of training parameters. Designers follow some recommendations … …Journal of Computer Science, Vol. 6, Issue 12 · 6 Nov 2010 · 7,155 accessesView PDFCite
Research ArticleOpen accessIn the abstractAcoustic Model Adaptation for Indonesian Language Utterance Training SystemLinda Indrayanti, Yoshifumi Chisaki, Tsuyoshi UsagawaProblem statement: In order to build an utterance training system for Indonesian language, a speech recognition system designed for Indonesian is necessary. However, the system hardly works well due to the pronunciation variants of non-native utterances may lead to substitution/deletion error. This research investigated the pronunciation variant and proposes acoustic model adaptation to improve performance of the system. Approach: The … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,168 accessesView PDFCite
Research ArticleOpen accessIn the abstractIncreasing the Reliability of Fuzzy Inference System-Based Skin DetectorAlaa Y. Taqa, Hamid A. JalabProblem statement: Skin detection is a common primitive for many human-related image processing applications, such as video surveillance, naked image filters and face detection. Skin color is considered as a useful and discriminating spatial feature for many applications, but it is not robust enough to deal with complex image environments. Skin tones range from dark (some Africans) to light white … …American Journal of Applied Sciences, Vol. 7, Issue 8 · 31 Aug 2010 · 7,138 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Sugar Cane Extract, Commercial Probiotic and their Mixture on Growth Performance and Intestinal Histology in Broiler ChickensOraya Khambualai, Koh-en Yamauchi, Jassada Ruttanavut et al.Problem statement: As the intestinal function is intimately affected by fed diets, many kinds of natural substances and probiotics have been supplemented to broilers to raise poultry productivity due to activating intestinal function. Besides, the intestinal histology is clearly altered by intestinal functions. The aim of this study was to investigate whether Sugar Cane Extract (SCE) and commercial probiotic (SPB), … …American Journal of Animal and Veterinary Sciences, Vol. 5, Issue 2 · 30 Jun 2010 · 8,674 accessesView PDFCite
Research ArticleOpen accessIn the abstractAre There Smaller Leverage Effects in Less-Developed Markets? Evidence from an Oil Exporting CountryMosayeb Phalavani, Parinaz EzzatiProblem statement: This study uses daily data from the Tehran Stock Market (TSM) to illustrate the nature of stock market volatility in an undeveloped and young stock market. Although most studies suggest that a negative shock to stock prices will generate more volatility than a positive shock of equal magnitude but there is no evidence of asymmetric effect in TSM. … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,519 accessesView PDFCite
Research ArticleOpen accessIn the abstractTowards the Development of Speaker-Dependent and Speaker-Independent Hidden Markov Model-Based Thai Speech SynthesisSuphattharachai ChomphanProblem statement: Tone distortion in Thai languages can deteriorate not only the intelligibility of speech but also its naturalness. Therefore, the correctness of tone must be carefully taken into account in continuous speech synthesis. The preliminary work confronted this problem when applying HMM-based speech synthesis to Thai. Approach: This study presented a study on speaker-dependent and speaker-independent Hidden Markov Model … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 6,925 accessesView PDFCite