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102 results for “Static and Dynamic”
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Research ArticleOpen accessIn the abstractA Token-Based Fair Algorithm for Group Mutual Exclusion in Distributed SystemsAbhishek Swaroop, Awadhesh Kumar SinghThe group mutual exclusion (GME) problem is a generalization of the mutual exclusion problem. In group mutual exclusion, a process requests a session before entering its critical section (CS). Processes requesting the same session are allowed to be in their CS simultaneously, however, processes requesting different sessions must execute their CS in mutually exclusive way. The paper presents a token-based … …Journal of Computer Science, Vol. 3, Issue 10 · 31 Oct 2007 · 7,095 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Scheduling Algorithm Based on Petri Nets and Simulated AnnealingRachida Hadiby Ghoul, Abdelhamid Benjelloul, Sihem Kechida, Hicham TebbikhThis study aims at presenting a hybrid Flexible Manufacturing System "HFMS" short-term scheduling problem. Based on the art state of general scheduling algorithms, we present the meta-heuristic, we have decided to apply for a given example of HFMS. That was the study of Simulated Annealing Algorithm SA. The HFMS model based on hierarchical Petri nets, was used to represent static … …American Journal of Applied Sciences, Vol. 4, Issue 5 · 31 May 2007 · 7,164 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Classification of Aspect Mining ApproachesBounour Nora, Ghoul Said, Atil FadilaIn object oriented paradigm, the implementation of a concern is typically scattered over many locations and tangled with the implementation of other concerns, resulting in a system that is hard to explore and understand. Identifying such code automatically greatly improves both the maintainability and the evolveability of the application. Aspect mining aims to identify crosscutting concerns in existing systems, thereby … …Journal of Computer Science, Vol. 2, Issue 4 · 30 Apr 2006 · 6,774 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling Load Balancing in Heterogeneous Unstructured P2P SystemsZhi Jun Li, Ming Hong LiaoLoad balancing is a generally concerned problem in peer-to-peer (P2P) systems. Many researches on load balancing in the structured P2P systems have been launched currently, such as Chord or other DHTs. Although the researches on load balancing in unstructured P2P systems are emerged nowadays, the simple mechanisms achieved can only perform effectively in uniform environment. In this study, the influence … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,783 accessesView PDFCite
Research ArticleOpen accessIn the abstractNew About the Balancing of Thermal MotorsNicolae Petrescu, Florian Ion Tiberiu PetrescuThe paper presents a new method of balancing the thermal motors, the method that perfectly fits the engines with modern internal combustion. This new constructive method imposes a new in-line engine design in order to better balance it, thus achieving a static balancing and total dynamics of the new type of internal combustion heat engine. The method can also be … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 22 Jul 2019 · 5,823 accessesView PDFCite
Review ArticleOpen accessIn the abstractNovel Approach for Characterizing Solid Rocket Motor (SRM)Aliyu Bhar Kisabo, Ngozi Nwokolo, Aliyu Funmilayo Adebimpe, Sholiyi Olusegun SamuelTo characterize SRM, the motor needs to be tested on a static test rig and certain performers indicators evaluated. In this study, the thrust with time from the SRM was acquired via a Digital Acquisition (DAQ) System and saved in Microsoft Excel® format(.csv). These thrust and time of the tested motor were then imported into MATLAB® for the purpose of … …Journal of Aircraft and Spacecraft Technology, Vol. 3, Issue 1 · 24 May 2019 · 6,455 accessesView PDFCite
Research ArticleOpen accessIn the abstractHydrogen is a Friend, or an Enemy, of the Environment?Relly Victoria Virgil Petrescu, Raffaella Aversa, Taher M. Abu-Lebdeh et al.Hydrogen is the best friend of man and the environment. Actually, it is the core element from that can extract energy, at infinity, in various forms. Until now has not been sufficiently exploited, but once with the evolution of the human species is the time to start to pool all types of energy which the hydrogen and its isotopes may … …Energy Research Journal, Vol. 9, Issue 1 · 6 Feb 2019 · 7,029 accessesView PDFCite
Research ArticleOpen accessIn the abstractOnline Forums Hotspot Prediction Based on Sentiment AnalysisK. Nirmala Devi, V. Murali BhaskarnProblem statement: Online forums hotspot prediction is one of the significant research areas in web mining, which can help people make proper decision in daily life. Online forums, news reports and blogs, are containing large volume of public opinion information. Rapid growth of network arouses much attention on public opinion, it is important to analyse the public opinion in time … …Journal of Computer Science, Vol. 8, Issue 8 · 11 Jul 2012 · 7,360 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDesign of a Synchronous Reference Frame Controlled Fuzzy Logic Based Distribution Static Compensator to Enhance Distribution System Power QualityRekha Sampath, Lokesh Mallaiah, Ashwini A V et al.The demand for enhanced power quality in distribution systems has increased due to the widespread utilization of various AC loads, including rectifiers, inductive loads, and variable speed drives. When these nonlinear loads are combined with renewable energy sources, harmonics are introduced in the system. These can affect the way other equipment in the network works and leave the system vulnerable … …Journal of Computer Science, Vol. 22, Issue 2 · 27 Feb 2026 · 1,710 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordConvolution Neural Networks of Dynamically Sized Filters with Modified Stochastic Gradient Descent Optimizer for Sound ClassificationManu Pratap Singh, Pratibha RashmiDeep Neural Networks (DNNs), specifically Convolution Neural Networks (CNNs) are found well suited to address the problem of sound classification due to their ability to capture the pattern of time and frequency domain. Mostly the convolutional neural networks are trained and tested with time-frequency patches of sound samples in the form of 2D pattern vectors. Generally, existing pre-trained convolutional neural … …Journal of Computer Science, Vol. 20, Issue 1 · 13 Dec 2023 · 5,781 accessesView PDFCite