Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

7 articles for “modular group”
Set a search alert
Research ArticleOpen accessEvery word in the titleGroup Re-keying Protocol Based on Modular Polynomial Arithmetic Over Galois Field GF(2n)Sundaram Sudha, Azman Samsudin, Mohammad Ahmad AliaProblem statement: In this study we propose a group re-keying protocol based on modular polynomial arithmetic over Galois Field GF(2n). Common secure group communications requires encryption/decryption for group re-keying process, especially when a group member is leaving the group. Approach: This study proposes secret keys multiplication protocol based on modular polynomial arithmetic (SKMP), which eliminates the need for the encryption/decryption … …American Journal of Applied Sciences, Vol. 6, Issue 9 · 30 Sep 2009 · 7,165 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Efficient Certificate-Free Key Distribution Protocol for Secure Group Communication in Grid EnvironmentMandadi Venkatesulu, Kamatchi KartheebanProblem statement: In grid environment, group communication is an important mechanism to realize large-scale information resource sharing. However providing security for group communication in grid environment is very difficult because the group is dynamic in nature. Scalable group re-keying is one of the important issues in secure group communication. These group keys should be updated whenever a member joins/leaves the … …Journal of Computer Science, Vol. 7, Issue 6 · 14 Jun 2011 · 7,125 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Detailed Preserving Medical Image Denoising Using Cluster-Wise PCA Thresholding and Iterative Mean FilteringMohit Sharma, Ayush Dogra, Anita Gupta et al.Image denoising is a vital process in medical imaging that involves removing noise or distortions introduced during image acquisition. Random noise can degrade image quality and reduce contrast, making accurate analysis more challenging. This paper presents a detail-preserving medical image denoising framework based on a hybrid methodology that combines cluster-wise Principal Component Analysis (PCA) thresholding with Iterative Mean Filtering (IMF). … …Journal of Computer Science, Vol. 22, Issue 4 · 18 Apr 2026 · 1,787 accessesView PDFCite
Research ArticleOpen accessIn the abstractKinematics of a Mechanism with a TriadRelly Victoria Virgil Petrescu, Raffaella Aversa, Taher M. Abu-Lebdeh et al.The Assuric Structural Groups are the most well-known classification and modulation used in machine and machine theory, and even though other modular classifications adapted to robots have emerged today, they still remain a reference classification in industrial mechanics and engineering. Diada in the mechanics can be studied similarly to the diode in the electronics, the triad is studied in the … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 2 Mar 2018 · 7,340 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch of Modular Object Oriented Dynamic Learning Environment E-Learning on Social Study for Elementary School StudentsTian-Syung Lan, Shu-Chun ChiuProblem statement: As the progress of digital technology, involving e-learning into curriculum becomes a novel trend. In general, the teaching practice of social study for elementary school students in Taiwan still depends on teacher’s one-way instruction. It’s difficult to activate students’ motivation within the limited course time. Approach: This study is proposed to recognize how e-learning improves teaching and learning … …Journal of Mathematics and Statistics, Vol. 7, Issue 2 · 18 May 2011 · 7,731 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPersonalized Recommendation System: Web of Things Using Modular Density-Based Community DiscoveryVinod Patidar, Jayashree A. Patil, Sonika Thapak et al.Community discovery is the cornerstone and core of study in customized recommendation, assembling group features and social network analysis on the web of things. Conventional community discovery methods, however, struggle with difficulties including low accuracy, delayed convergence, modularity resolution limits and more when dealing with more complicated social networks. Because of this, differential evolution and module density are included in … …Journal of Computer Science, Vol. 20, Issue 9 · 21 Jun 2024 · 5,628 accessesView PDFCite