Research ArticleOpen accessIn the abstractChildhood Cancer-a Hospital based study using Decision Tree TechniquesK. Kalaivani, R. ShanmugalakshmiProblem statement: Cancer is generally regarded as a disease of adults. But there being a higher proportion of childhood cancer (ALL-Acute Lymphoblastic Leukemia) in India. The incidence of childhood cancer has increased over the last 25 years, but the increase is much larger in females. The aim was to increase our understanding of the determinants of south Indian parental reactions … …Journal of Computer Science, Vol. 7, Issue 12 · 17 Oct 2011 · 7,057 accessesView PDFCite
Research ArticleOpen accessIn the abstractDermoscopic Image Segmentation using Machine Learning AlgorithmL. Padma Suresh, K.L. Shunmuganathan, S.H. Krishna VeniProblem statement: Malignant melanoma is the most frequent type of skin cancer. Its incidence has been rapidly increasing over the last few decades. Medical image segmentation is the most essential and crucial process in order to facilitate the characterization and visualization of the structure of interest in medical images. Approach: This study explains the task of segmenting skin lesions in … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 7 Oct 2011 · 7,342 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssociation of Anthropometric and Metabolic Variables with Cardiovascular Disease among Urban and Rural OriginBadaruddoza, Kushal Gill, Raman KumarProblem statement: We have examined the prevalence and association of cardiovascular diseases with respect to obesity and metabolic risk factors clustering among urban and rural Punjabi males aged 20-55 years. Obesity has been defined by increased Waist Circumference (WC), Body Mass Index (BMI) and Waist Hip Ratio (WHR). Metabolic traits such as increased total cholesterol, triglycerides and lipoproteins have also … …American Journal of Applied Sciences, Vol. 8, Issue 10 · 20 Aug 2011 · 7,468 accessesView PDFCite
Research ArticleOpen accessIn the abstractWavelet Analysis and Orthogonal Moments based Classification of Microcalcification in Digital MammogramsN. V.S. Sree Rathna Lakshmi, C. ManoharanProblem statement: An important early sign of breast cancer is the clusters of micro calcifications in digital mammograms. To assist radiologists in the diagnosis of mammographic clusters a novel hybrid algorithm has been developed. Approach: A method, for detecting micro calcification in mammograms based on combined feature set with Ant Colony Optimization (ACO) was proposed. The diagonal matrix ‘S’ obtained … …Journal of Computer Science, Vol. 7, Issue 10 · 6 Aug 2011 · 6,558 accessesView PDFCite
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