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127 results for “reduction algorithm”
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Research ArticleOpen accessIn the abstractOn the Pulsewidth Analysis in the Presence of PMD and PDL in Optical Fibers Using Neural Network AlgorithmA. Sivasubramanian, V. C. RavichandranIn long haul networks, the random birefringence induced in the optical fiber leads to a considerable Polarization Mode Dispersion (PMD). Polarization Dependent Loss (PDL) mainly occurs in optical components and depends on the state of polarization of optical signals. The presence of PMD and PDL causes pulsewidth narrowing and the pulsewidth reduction depends on states of polarization at which the … …Journal of Computer Science, Vol. 3, Issue 4 · 30 Apr 2007 · 7,055 accessesView PDFCite
Research ArticleOpen accessIn the abstractCoupling Routing Algorithm and Data Encoding for Low Power Networks on ChipMaurizio Palesi, Davide Patti, Giuseppe Ascia et al.The routing algorithm used in a Network-on-Chip (NoC) has a strong impact on both the functional and non functional indices of the overall system. Traditionally, routing algorithms have been designed considering performance and cost as the main objectives. In this study we focus on two important non functional metrics, namely, power dissipation and energy consumption. We propose a selection policy … …Journal of Computer Science, Vol. 11, Issue 3 · 4 May 2015 · 6,932 accessesView PDFCite
Research ArticleOpen accessIn the abstractContent Based Medical Image Retrieval with Texture Content Using Gray Level Co-occurrence Matrix and K-Means Clustering AlgorithmsB. Ramamurthy, K. R. ChandranProblem statement: Recently, there has been a huge progress in collection of varied image databases in the form of digital. Most of the users found it difficult to search and retrieve required images in large collections. In order to provide an effective and efficient search engine tool, the system has been implemented. In image retrieval system, there is no methodologies … …Journal of Computer Science, Vol. 8, Issue 7 · 24 May 2012 · 7,452 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnergy Constrained Secure Hierarchical Data Aggregation in Wireless Sensor NetworksV. Bhoopathy, R. M.S. ParvathiProblem statement: Wireless sensor networks, brings out variety of different challenges at energy level, integrity, authentication, communication cost. Approach: In the secure data aggregation techniques, reduction in the energy consumption was not elaborated in detail, since aggregator means of connection to sink was either direct or through other aggregators which need high energy level. Results: We suggest an Energy Constrained … …American Journal of Applied Sciences, Vol. 9, Issue 6 · 16 Mar 2012 · 7,382 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Subset Selection for Hot Method Prediction using Genetic Algorithm wrapped with Support Vector MachinesSandra Johnson, Valli ShanmugamProblem statement: All compilers have simple profiling-based heuristics to identify and predict program hot methods and also to make optimization decisions. The major challenge in the profile-based optimization is addressing the problem of overhead. The aim of this work is to perform feature subset selection using Genetic Algorithms (GA) to improve and refine the machine learnt static hot method predictive … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,238 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing Inventory Using Genetic Algorithm for Efficient Supply Chain ManagementP. Radhakrishnan, W. M. Prasad, M. R. GopalanProblem statement: Today, inventory management is considered to be an important field in Supply chain management. Once the efficient and effective management of inventory is carried out throughout the supply chain, service provided to the customer ultimately gets enhanced. Hence, to ensure minimal cost for the supply chain, the determination of the level of inventory to be held at various … …Journal of Computer Science, Vol. 5, Issue 3 · 31 Mar 2009 · 8,363 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Low-Memory Reference FFT on Digital Signal ProcessorYi-Pin Hsu, Shin-Yu LinProblem statement: In order to improve and implement Fast Fourier Transform (FFT), in general, an efficient parallel form in digital signal processor is necessary. The butterfly structure is an important role in FFT, because its symmetry form is suitable for hardware implementation. Although it can perform a symmetric structure, the performance will be reduced under the data-dependent flow characteristic. Even … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 7,146 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Deep Learning Framework for Classifying and Evaluating Yoga ExercisesMehar Latif Malik, Arun KhoslaYoga is a type of physical activity that combines physical postures with breathing techniques. Cardiovascular disease is the leading cause of illness and mortality. Yoga's potential involvement in cardiac recovery can be incorporated into cardiovascular rehabilitation. Classifying and evaluating yoga exercises using a deep learning framework plays a significant role in postoperative recovery. Home based rehabilitation often suffers from a … …Journal of Computer Science, Vol. 19, Issue 2 · 30 Jan 2023 · 6,098 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comprehensive Review of Medical Image Denoising: Techniques, Challenges, Applications and Future DirectionsMohit Sharma, Ayush Dogra, Anita Gupta et al.The concept of noise reduction in medical images plays a vital role in improving image quality and accuracy associated with diagnosis, and facilitating reliable automated analysis. This survey presents a structured overview of medical image denoising, beginning with foundational definitions and noise models for modalities such as MRI and CT. We critically evaluate persistent gaps, including the limited generalizability of … …Journal of Computer Science, Vol. 22, Issue 3 · 28 Mar 2026 · 1,861 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Survey of Quadratization Methods Used in QUBO Formulations and their Usage in Quantum and Digital AnnealingGeethika Prabhath, Anuradha Mahasinghe, Nalin Ranasinghe, Kasun De ZoysaQuantum annealing is a metaheuristic method aimed at finding the global minimum of a pseudo-Boolean quadratic function. To solve a problem by a quantum annealer, it must be restated as a QUBO (quadratic unconstrained binary optimization) problem, the standard format acceptable to an annealer. However, there are many natural problems that turn out be of cubic or higher order, yet … …Journal of Computer Science, Vol. 22, Issue 1 · 16 Feb 2026 · 2,562 accessesView PDFCite