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154 results for “network optimization”
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Research ArticleOpen accessIn the abstractA Routing Optimization Based on Cross-Layer Design for Wireless Multimedia Sensor Networks (WMSNs)Emansa Hasri Putra, Risanuri Hidayat, Widyawan, Wayan MustikaMultimedia applications are routed from source nodes via neighboring nodes to a sink in Wireless Multimedia Sensor Networks (WMSNs). However, the existing routing protocols in the WMSNs do not fulfill the quality of service (QoS) constraint yet for multimedia transmission. The WMSNs have specific characteristics such as multi-hop way, limited node capability and varying bandwidth, which can affect the quality … …Journal of Computer Science, Vol. 13, Issue 10 · 31 Oct 2017 · 7,401 accessesView PDFCite
Research ArticleOpen accessIn the abstractBuilding Energy Modeling Using Artificial Neural NetworksMaya Arida, Nabil Nassif, Rand Talib, Taher Abu-LebdehAccurate modeling of total building energy is now vital to reduce energy consumption. This is especially true for buildings since they are considered as the largest energy consumer in the United States. This paper investigates modeling methods for building energy-systems using non-linear auto-regression artificial neural networks. The proposed model can forecast the whole building energy consumptions given the four input … …Energy Research Journal, Vol. 7, Issue 2 · 6 Jun 2017 · 7,131 accessesView PDFCite
Research ArticleOpen accessIn the abstractStock price prediction using Generative Adversarial NetworksHungChun Lin, Chen Chen, GaoFeng Huang, Amir JafariDeep learning is an exciting topic. It has been utilized in many areas owing to its strong potential. For example, it has been widely used in the financial area which is vital to the society, such as high-frequency trading, portfolio optimization, fraud detection and risk management. Stock market prediction is one of the most popular and valuable areas in finance. … …Journal of Computer Science, Vol. 17, Issue 3 · 2 Apr 2021 · 17,714 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 abstractFFA-CONTEXT AWARE ENERGY EFFICIENT ROUTING USING FAST REACTIVE AND ADAPTIVE ALGORITHMP. Kavitha Rani, E. KannanA vital issue of routing is how to efficiently strengthen energy consumption of the whole network and to avoid the energy-hole which leads to node failure or node death; this scenario makes the network to work improperly and leads to network death, Here we proves our hypothesis with linearity between routing and linear principles. Our proposed work effectively utilizes the … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 26 Dec 2013 · 6,622 accessesView PDFCite
Research ArticleOpen accessIn the abstractC-LOAD POWER CONTROL PROTOCOL-CROSS-LAYER DESIGN OF A NETWORK LAYER LOAD POWER CONTROL PROTOCOL IN WIRELESS AD HOC NETWORKSA. Arivoli, P. NarayanasamyIn wireless ad hoc network scenario, Cross-layer design is emerging, important in wireless ad hoc network and the power control methods. Power control is the intelligent selection of transmit power in a communication to achieve the better performance within the system. Cross-layer is used to sharing the information between the layers. Physical to Transport layer information are shared in this … …Journal of Computer Science, Vol. 10, Issue 3 · 30 Nov 2013 · 7,153 accessesView PDFCite
Research ArticleOpen accessIn the abstract“OPTIMIZATION OF MULTI-COMMODITIES CONSUMER SUPPLY CHAINS FOR-PART I-MODELING”Zeinab Haji Abolhasani, Romeo M. Marian, Lee LoungThis study and its companions (Part II, Part III) will concentrate on optimizing a class of supply chain problems known as Multi-Commodities Consumer Supply Chain (MCCSC) problem. MCCSC problem belongs to Production-Distribution (P-D) planning category. It aims to determine facilities location, consumers’ allocation and facilities configuration to minimize total Cost (CT) of the entire network. These facilities can be manufacturer … …Journal of Computer Science, Vol. 9, Issue 12 · 26 Nov 2013 · 7,852 accessesView PDFCite
Research ArticleOpen accessIn the abstractLoss Monitoring of Star Topology Sensor Network Based on Scheduling Algorithm for Assessing Structural Health InformationMohammud Ershadul Haque, Mohammud Fauzi Mohammud Zain, Mohammud Abdul Hannan et al.Sensor network is the new invention for assessing civil building structural health information. The new challenge to sensor network: large volume of received data, analyzing result at the computing section, patient coverage area, accuracy and reliability of the system, real time response, optimization development. To cover the entire patient region, sensor topology network is as a key characteristic of Sensor … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 5 Oct 2013 · 6,731 accessesView PDFCite
Research ArticleOpen accessIn the abstractParticle Swarm and Neural Network Approach for Fault Clearing of Multilevel InvertersR. M.S. Parvathi, M. SivakumarThis study presents a machine learning technique for fault diagnostics in induction motor drives. A normal model and an extensive range of faulted models for the inverter-motor combination were developed and implemented using a generic commercial simulation tool to generate voltages and current signals at a broad range of operating points selected by a Particle Swarm Optimization (PSO) based machine … …American Journal of Applied Sciences, Vol. 10, Issue 6 · 8 Jun 2013 · 6,495 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultichannel Cognitive Cross Layer Optimization for Improved Video TransmissionMeenakshi Murugappan, Manimekalai Thirunavukkarasu, Maneesha S. MohanMultimedia applications particularly real-time video transmission in wireless networks, envisions end to end user perceived video quality as an important QoS parameter to be achieved. Cognitive Radio promising efficient spectrum utilization combined with Cross layer optimization is seen as a powerful combination to achieve the desired video quality. This study proposes Optimal Channel Sensed Multichannel Cognitive MAC (OCSM-CMAC), a QoS … …Journal of Computer Science, Vol. 9, Issue 1 · 6 Feb 2013 · 7,202 accessesView PDFCite