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146 articles for “Hybrid Method (HM)”
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Research ArticleOpen accessIn the abstractHYBRID IMPLEMENTATION AND PERFORMANCE ANALYSIS FOR HIGH PERFORMANCE COMPUTATION WORKLOADJoseph IssaGiven the need to achieve maximum performance possible, offloading intensive computation workload to GPU is a key to achieve this goal. Offloading most of the workload to GPU may not results in desired performance, so a middle approach is more suitable such as splitting the workload between the CPU and the GPU can be considered as an optimized approach. In … …Journal of Computer Science, Vol. 10, Issue 9 · 26 Apr 2014 · 6,520 accessesView PDFCite
Research ArticleOpen accessIn the abstractCONGESTION MANAGEMENT BY OPTIMAL ALLOCATION OF FACTS CONTROLLERS USING HYBRID FISH BEE OPTIMIZATIONS. Thangalakshmi, P. ValsalalThe role of Independent System Operator (ISO) in the restructured power industry includes system control, capacity planning, transmission tariff and congestion management; the challenging task being minimizing the congestion. One of the popular techniques used to alleviate congestion is using Flexible AC Transmission Systems (FACTS) devices. The power system generally operates near its rated capacity in deregulated market because of … …Journal of Computer Science, Vol. 10, Issue 9 · 24 Apr 2014 · 6,648 accessesView PDFCite
Research ArticleOpen accessIn the abstractNatural Fiber Reinforced Polymer Composites for Automobile AccessoriesD. Chandramohan, J. BharanichandarThe invention is an effort to utilize the advantages offered by renewable resources for the development of composite materials based on polymer and particles of natural fibers for Conservation of natural resources. In this research, natural fibers like Sisal (Agave sisalana), Banana (Musa sepientum) and Roselle (Hibiscus sabdariffa), Sisal and banana (hybrid), Roselle and banana (hybrid) and Roselle and sisal … …American Journal of Environmental Sciences, Vol. 9, Issue 6 · 17 Jan 2014 · 17,339 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NOVELTY APPROACH OF SPATIAL CO-OCCURRENCE AND DISCRETE SHEARLET TRANSFORM BASED TEXTURE CLASSIFICATION USING LPBOOSTING CLASSIFIERC. Vivek, S. AudithanRecently, the research towards Brodatz database for texture classification done at considerable amount of study has been published, the effective classification are vulnerable towards for training and test sets. This study presents the novel texture classification method based on feature descriptor, called spatial co-occurrence with discrete shearlet transformation through the LPboosting classification. It can be considered as a frame through … …Journal of Computer Science, Vol. 10, Issue 5 · 11 Jan 2014 · 6,608 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NOVEL HYBRID NODE LOCALIZATION ALGORITHM FOR WIRELESS SENSOR NETWORKSLiu Yu, Wang Haipeng, He You, Shen JianNode self-localization is one of the supporting technologies in Wireless Sensor Networks (WSNs). In this study, a distributed hybrid localization algorithm based on divide-and-conquer and refinement method is proposed. Firstly, the effect of ranging error in the Received Signal Strength (RSS) model on node localization is analyzed and the topology relations of anchors and unknown nodes are derived when the … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,881 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Retinal Image Registration Using Mutual InformationPradeepa Palraj, Ila VennilaImage registration has tremendous applications in medical industry both in diagnosis and therapy. But registering the retinal images is very difficult task because of the structural and illumination criteria. Normal registration algorithms are proved to be less effective and more complicated for such applications. This study aims at combining two methods of retinal image registration: Vessel based and non-vessel based … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 18 Sep 2013 · 6,694 accessesView PDFCite
Research ArticleOpen accessIn the abstractMEDICAL IMAGE COMPRESSION TECHNIQUE USING LISTLESS SET PARTITIONING IN HIERARCHICAL TREES AND CONTEXTUAL VECTOR QUANTIZATION FOR BRAIN IMAGESS. Sridevi, V. R. VijayakumarA hybrid image compression techniques has been developed to compress medical images. Due to the extensive use of medical images like CT and MR scan, these medical imagery are stored for a longer period for the continuous monitoring of the patients and the amount of data associated with images is large and it occupies enormous storage capacity. So, the medical … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 7,199 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of an Energy-Efficient, Secure and Reliable Wireless Sensor Networks Routing Protocol Based on Data Aggregation and User AuthenticationA. Gopi Saminathan, S. KarthikData aggregation protocols are required in Wireless Sensor Networks (WSNs) to improve the data accuracy and extend the network lifetime by reducing the energy consumption. The existing Data Aggregation-Optimal LEACH (DAO-LEACH) protocol for WSN is enhanced in terms of security and fault-tolerance based on Gracefully Degraded Data Aggregation (GDDA) to ensure the integrity of the aggregated data and Hybrid Layer … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 6,860 accessesView PDFCite
Research ArticleOpen accessIn the abstractUSER RECOMMENDATION ALGORITHM IN SOCIAL TAGGING SYSTEM BASED ON HYBRID USER TRUSTWong Pei Voon, Norwati Mustapha, Nasir SulaimanWith the rapid growth of web 2.0 technologies, tagging become much more important today to facilitate personal organization and also provide a possibility for users to search information or discover new things with Collaborative Tagging Systems. However, the simplistic and user-centered design of this kind of systems cause the task of finding personally interesting users is becoming quite out of … …Journal of Computer Science, Vol. 9, Issue 8 · 5 Jul 2013 · 7,551 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NOVEL APPROACH BASED ON GENETIC FUZZY CLUSTERING AND ADAPTIVE NEURAL NETWORKS FOR SALES FORECASTINGAttariuas Hichama, Bouhorma Mohameda, El Fallahi AbdellahbThis article proposes a new hybrid sales forecasting system based on genetic fuzzy clustering and Back-Propagation (BP) Neural Networks with adaptive learning rate (GFCBPN).The proposed architecture consists of three stages: (1) utilizing Winter’s Exponential Smoothing method and Fuzzy C-Means clustering, all normalized data records will be categorized into k clusters; (2) using an adapted Genetic Fuzzy System (MCGFS), the fuzzy … …Journal of Computer Science, Vol. 9, Issue 8 · 2 Jul 2013 · 6,675 accessesView PDFCite