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

290 results for “Resource Use”
Set a search alert
Research ArticleOpen accessEvery word in the titleOntology-based Knowledge Networks for users' training: The Enterprise Resource Planning (ERP) caseMacris AristomenisThis paper presents a prototype model for the design and development of training material, where both the multimedia objects used in training scenarios and the knowledge built into them are captured and fully reusable. Knowledge found in the logic, the structure and the ways of use of domain specific literacy is represented as a knowledge network (a collection of educational … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 6,664 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEconomic Analysis of Honey Production in Chitwan District, NepalSushmita Bhatta, Suraksha Baral, Jay Prakash DattaApiculture is being practiced in Nepal from time immemorial. Economic analysis of honey production in Chitwan district was carried out to analyze profitability along with resource use efficiency in different enterprise system of beekeeping. The Categorization of beekeepers was done according to the number of beehives as small, medium and large. A total of 60 beekeepers were proportionately selected which … …American Journal of Agricultural and Biological Sciences, Vol. 15, Issue 1 · 3 Jan 2021 · 8,677 accessesView PDFCite
Research ArticleOpen accessIn the keywordsResource Selection in Grid Environment Based on Trust Evaluation Using Feedback and PerformancePrakash Mohan, Ravichandran ThangavelA grid computing is a collection of distributed computing resources owned by many organizations across boundaries and not dedicated for a single user available in the Virtual Organization. Grid computing environment provides more computational capabilities to increase the scalability and efficiency of the infra-structure. Resource selection in computational grid is the open issue for executing complex jobs. Trust is the … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 7,176 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRestoration of Biodiversity and EcosystemIgnacio Santa-Regina, M. C. Santa-ReginaSuccession is one of the most studied processes in ecology and succession theory provides strong predictability. However, few attempts have been made to influence the course of succession thereby testing the hypothesis that the passage of one stage is essential to enter a next one. At each stage of succession ecosystem processes may be affected by the diversity of species … …American Journal of Engineering and Applied Sciences, Vol. 6, Issue 1 · 10 Mar 2013 · 6,989 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimal Decentralized Spectral Resource Allocation for Orthogonal Frequency Division Multiple Access Downlink of Femto Networks Via Adaptive Gradient Vector Step Size ApproachLamia Benmesbah, Bingo Wing-Kuen Ling, Vikram Chandrasekhar et al.Problem statement: For the Orthogonal Frequency Division Multiple Access (OFDMA) downlink of a femto network, the resource allocation scheme would aim to maximize the Area Spectral Efficiency (ASE) subject to constraints on the radio resources per transmission interval accessible by each femtocell. Approach: An optimal resource allocation scheme for completely decentralized femtocell deployments leads to a nonlinear optimization problem because … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 14 Jan 2012 · 7,640 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Time-Based Switch Migration Method (TSSM) for Load Balancing in Distributed Software-Defined NetworkingThangaraj E, Dinesh K, Prabhakaran Paulraj et al.Switch migration is predominantly used for workload balancing in distributed Software Defined Network (SDN) controllers. The Time-Sharing Switch Migration (TSSM) technique allowed the switch's responsibility to be divided based on the time duration condition of overload, which resulted in fewer overload events, fewer ping-pong controller issues, and more efficient controllers. However, it has higher controller resource utilization during TSSM working … …Journal of Computer Science, Vol. 22, Issue 3 · 6 Mar 2026 · 1,591 accessesView PDFCite
Research ArticleOpen accessIn the abstractRK4 Differential Equation to improve QoS in an eUTRAN LTE Network: A Deterministic vs. Stochastic ApproachBrou Pacôme, Pandry Ghislain, Bodjré Aka Hugues Félix, Oumtanaga SouleymaneImproving Quality of Service (QoS) in an eUTRAN LTE network is essential to guarantee optimal performance in the face of dynamic variations in user traffic and radio channel interference. In this context, this paper explores the use of 4th-order Runge-Kutta differential equations (RK4) to model and optimize radio resource management, by comparing a deterministic approach, which assumes stable and predictable … …Journal of Mathematics and Statistics, Vol. 21, Issue 1 · 3 Jul 2025 · 5,880 accessesView PDFCite
Research ArticleOpen accessIn the abstractResource Pooling Coupled with Power Adaptation for the Management of Interferences between Cellular and D2D Communications in 5GDeussom Djomadji Eric Michel, Mengoumou Abessolo ArseneAs telecommunication networks are booming, we are witnessing an ever-increasing evolution of network generations. These evolutions are due both to the ever-higher demands of subscribers and services. Thus, the world we live in is moving towards a global interconnection of information systems and equipment, with an ever-increasing demand in terms of throughput, in terms of low latency, and reliability. This … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 5 Mar 2025 · 8,584 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT-Based Smart Hydroponic System for Nutrient Management Using Predictive Machine Learning AlgorithmsPalash Gourshettiwar, K. T. V. ReddyHydroponics, an efficient cultivation method, benefits significantly from the precision and adaptability that Machine Learning (ML) algorithms can offer, along with the real-time monitoring facilitated by the devices using the Internet of Things (IoT). This study summarises the latest research and discusses how Machine Learning and the IoT work together, focusing on nutrient optimization, plant development, and resource efficiency. The … …Journal of Computer Science, Vol. 22, Issue 3 · 11 Mar 2026 · 3,056 accessesView PDFCite