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4th International Conference on Technological Advancements in Computational Sciences, ICTACS 2024

作者： Kumar, R.J.S. Jeba Singh, J. Roopa Jaya Sagayam, K. Martin Kumar, Ravinder Bhattacharya, Pronaya Aggarwal, Gaurav St. Peter's Institute of Higher Education and Research Dept. of Cs Chennai India Karunya Institute of Technology and Sciences Dept. of Ece Coimbatore India Manipal University Jaipur Dept. of Information Technology Rajasthan Jaipur India Amity Sch. of Engg. and Tech. Amity University Dept. of Cse West Bengal Kolkata India Amity University in Tashkent Dept. of It and Engineering Tashkent Uzbekistan

ISBN: (纸本)9798350387490

With the dawn of modern digital civilization i.e., Industry 4.0, a need for bi-directional intelligent communicable devices, is welcomed to the maximum extent by commons. This demand of intelligent bi-directional communication, paved the way to transform a fundamental communication to advanced short range confined network communication, then it grown gradually to the level of full-fledged inter-network connection across boundaries. This survey paper deals with comparative study of modern futuristic, Internet of Everything (IoE) technology over prevalent Internet of Things (IoT) and basic era of Machine to Machine (M2M) Communication there by enhancing the data-center efficiency using AWS Cloud services for future IoE era. Much advancement in IoE will comprise all existing solution of IoT in a much smarter and secured way. The implementation of data-center with mirroring cloud technology to increase data availability efficiency. Dockers enables memory management among the containers. Ubuntu platform has been used to run docker and Kubernetes. Comparative study is done to portray every aspect of advancement in evolution, application, flipsides of the existing IoT and M2M technology and the same is compared with the new futuristic IoE technology with feasibility of fail-safe data-center schema. © 2024 IEEE.

关键词： Efficiency

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A review on task consolidation for cloud computing environment 2

A review on task consolidation for cloud computing environme...

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2nd IEEE International Conference on Electronic engineering, ICEEM 2021

作者： Badr, Shaimaa El Mahalawy, Ahmed Attiya, Gamal Nasr, Aida A. Egyptian Electricity Transmission Company SCADA Engineer Middle Egypt Regional Control Center Egypt Engineering Menoufia University Faculty of Division Dept. of Computer Science and Engineering Menouf Egypt Tanta University Faculty of Computers and Information Egypt

ISBN: (纸本)9781665418423

Recently, Power Consumption is one of The Most Important Researches on Cloud Computing Systems such as CPU central Processors, Drives, memory, and temperature that affect on consuming the amount of energy. But also the amount of software approach has more effective on it, such as scheduling, resource allocation, and task *** Consolidation is an effective technique that is used to save power consumption which consolidates tasks by virtualization technologies. The goal of this optimizing is not only to minimize energy costs in cloud computing systems but also to respond to government and environmental rules. There are more than techniques to minimize energy consumption here we focus on the task consolidation technique and its important algorithms. In task consolidation, idle resources consume a major amount of energy consumption. Virtualization is an important part of the task consolidation *** this survey, we discuss how efficient task consolidation algorithms affect cloud resource power consumption. © 2021 IEEE.

关键词： Electric power utilization

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Particle Swarm Optimization trained recurrent neural network for voltage instability prediction

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Journal of Electrical Systems and information technology 2018年第2期5卷 216-228页

作者： Amr M. Ibrahim Noha H. El-Amary Electrical Power and Machines Engineering Dept. Ain Shams University Cairo Egypt Electrical Power and Control Engineering Dept. Arab Academy for Science and Technology Egypt

Voltage instability is considered as a major problem that faces the power systems during its operation. Voltage instability prediction is necessary for avoiding voltage collapse. This paper investigates the performance of recurrent neural network (RNN) in voltage instability prediction. A recurrent neural network trained with Particle Swarm Optimization (PSO) is proposed in this paper. The proposed method is examined on 14-bus and 30-bus IEEE standard systems. These systems are simulated using MATLAB/Power System Toolbox program. Also, a detailed comparison between PSO algorithm and Backpropagation (BP) algorithm is discussed. The results proved the effectiveness of the proposed method.

关键词： Backpropagation algorithm Particle Swarm Optimization technique Recurrent neural network Voltage instability predictor Voltage stability

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The mac protocol optimization based on physical layer's information feedback

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Biotechnology: An Indian Journal 2013年第10期8卷 1376-1383页

作者： Jun, Wang Jian, Wang Yujun, Pang Dept. of Computer Science and Technology Shenyang University of Chemical Technology Shenyang China Dept. of Information Engineering Shenyang University of Chemical Technology Shenyangÿ China

In this paper, we present a cross-layer optimization scheme to improve the fairness and quality of service (QoS) of wireless ad-hoc network. As for the physical layer's information feedback, it is mainly the physical link quality. We adopt multi-access technique such as TDMA and a fusion of technologies, such as Multiple -Input and Multiple-Output (MIMO) and Orthogonal FrequencyDivisionMultiplexing (OFDM). Using multi-user detection to physical link quality, to achieve the joint cross-layer optimization design of PHY-MAC, we propose the MAC protocol with RTS/CTS reservation mechanism based on a distribution of slots (RDTDMA). The objective is to improve energy utilization, reduce bit error rate (BER) and alleviate network congestion effectively. The experimental results show that the cross-layer optimization can effectively improve the overall performance of wireless ad-hoc network, significantly in energy saving and throughput. © 2013 Trade Science Inc. - INDIA.

关键词： Crude oil

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REAL-TIME VIDEO BASED LIGHTING USING GPU RAYTRACING

REAL-TIME VIDEO BASED LIGHTING USING GPU RAYTRACING

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European Signal Processing Conference

作者： Joel Kronander Johan Dahlin Daniel Jonsson Manon Kok Thomas B. Schon Jonas Unger Dept. of Science and Technology Linkoping University Dept. of Electrical Engineering Linkoping University Dept. of Information Technology Uppsala University

ISBN: (纸本)9781479946037

The recent introduction of high dynamic range (HDR) video cameras has enabled the development of image based lighting techniques for rendering virtual objects illuminated with temporally varying real world illumination. A key challenge in this context is that rendering realistic objects illuminated with video environment maps is computationally demanding. In this work, we present a GPU based rendering system based on the NVIDIA OptiX [1] framework, enabling real time raytracing of scenes illuminated with video environment maps. For this purpose, we explore and compare several Monte Carlo sampling approaches, including bidirectional importance sampling, multiple importance sampling and sequential Monte Carlo samplers. While previous work have focused on synthetic data and overly simple environment map sequences, we have collected a set of real world dynamic environment map sequences using a state-of-art HDR video camera for evaluation and comparisons. Based on the result we show that in contrast to CPU renderers, for a GPU implementation multiple importance sampling and bidirectional importance sampling provide better results than sequential Monte Carlo samplers in terms of flexibility, computational efficiency and robustness.

关键词： Image Based Lighting HDR Video Video Based Lighting

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Maintaining model consistency during in-flight adaptation in a flapping-wing micro air vehicle 2

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2nd International Conference on Robot Intelligence technology and Applications, RiTA 2013

作者： Gallagher, John C. Humphrey, Laura R. Matson, Eric T. Dept. of Computer Science and Engineering Wright State University DaytonOH United States Air Force Research Laboratory WPAFB OH United States Dept. of Computer and Information Technology Purdue University West LafayetteIN United States

ISBN: (纸本)9783319055817

Machine-learning and soft computation methods are often used to adapt and modify control systems for robotic, aerospace, and other electromechanical systems. Most often, those who use such methods of selfadaptation focus on issues related to efficacy of the solutions produced and efficiency of the computational methods harnessed to create them. Considered far less often are the effects self-adaptation on Verification and Validation (V&V) of the systems in which they are used. Simply observing that a broken robotic or aerospace system seems to have been repaired is often not enough. Since self-adaptation can severely distort the relationships among system components, many V&V methods can quickly become useless. This paper will focus on a method by which one can interleave machine-learning and model consistency checks to not only improve system performance, but also to identify how those improvements modify the relationship between the system and its underlying model. Armed with such knowledge, it becomes possible to update the underlying model to maintain consistency between the real and modeled systems. We will focus on a specific application of this idea to maintaining model consistency for a simulated Flapping-Wing Micro Air Vehicle that uses machine learning to compensate for wing damage incurred while in flight. We will demonstrate that our method can detect the nature of the wing damage and update the underlying vehicle model to better reflect the operation of the system after learning. The paper will conclude with a discussion of potential future applications, including generalizing the technique to other vehicles and automating the generation of model consistency-testing hypotheses. © Springer International Publishing Switzerland 2014.

关键词： Wings

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Smith predictor based neural controller with time-delay estimation 15th

Smith predictor based neural controller with time-delay esti...

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15th World Congress of the International Federation of Automatic control, 2002

作者： Tan, Yonghong Karim, M. Nazmul Lab. of Intelligent Systems and Control Engineering Guilin University of Electronic Technology Guilin541004 China Dept. of Chemical and Bioresource Engineering Colorado State University Fort CollinsCO80523 United States

ISBN: (纸本)9783902661746

A neural control strategy for nonlinear processes with time-variant time-delay is proposed in this paper. In this strategy, a dynamic neural network based nonlinear Smith predictor is constructed to compensate for the effect of time-delay of a class of nonlinear processes. An on-line optimizing controller is illustrated based on the neural Smith predictor. It is known that the performance of the Smith predictor may be deteriorated if the time-delay of the process changes with time. In order to improve the performance of the Smith predictor, a time-delay adaptation mechanism is introduced into the control structure to track the variation of the time-delay. The simulation, comparing with the classical Smith predictive control, on a continuous-stirred-tank-reactor (CSTR), where the time-delay of the manipulating flow changes with time, is used for the test. Copyright © 2002 IFAC.

关键词： Delay control systems

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Optimal Design of a Standalone Integrated Solar Hydrogen Energy System for a Residential Building in Alamein City 25

Optimal Design of a Standalone Integrated Solar Hydrogen Ene...

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25th International Middle East Power System Conference, MEPCON 2024

作者： Mohyeldin, Mohamed A. Abdelsalam, Ibrahim Hamad, Mostafa S. Hamdan, Eman Abdel-Khalik, Ayman S. Imam, Sherif M. Research and Innovation Center Arab Academy for Science Technology and Maritime Transport Alamein Egypt Arab Academy for Science Technology and Maritime Transport Electrical and Control Engineering Dept. Cairo Egypt College of Maritime Transport Arab Academy for Science Technology and Maritime Transport Alamein Egypt Alexandria University Department of Electrical Engineering Alexandria Egypt Damanhour University Dept. of Electrical Power Engineering Damanhour Egypt

ISBN: (纸本)9798350379648

This paper uses renewable energy sources as a potential solution to meet energy demands, However, these sources suffer from intermittency, especially solar energy. This calls for an effective energy storage system. Hydrogen has attracted much attention in this area due to its capability as long-term storage, so the problem of intermittency can be solved with the presence of hydrogen. This study aims to analyze solar irradiance levels in El Alamein City, Egypt, and propose a system incorporating PV panels, batteries, an electrolyzer, and a fuel cell to power a small residential load in a rural area where grid extension is difficult to achieve. A comprehensive simulation has been conducted utilizing the Hybrid Optimization Model for Electric Renewables (HOMER) software. The primary objective is to determine the optimal size for a standalone system in El Alamein City that depends only on solar energy. It has been found that 4.25 kW PV panels, 5 kWh batteries, a 3 kW electrolyzer, 1 kW fuel cell, and a 2.08 kW converter can supply a standalone home in a rural area in El Alamein city. © 2024 IEEE.

关键词： Hydrogen storage

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Noise Filtering Algorithm for Event Streams Using Spatial and Temporal Correlation

Noise Filtering Algorithm for Event Streams Using Spatial an...

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China Instrument and control Society (ACCIS), Academic Conference of

作者： Jiahui Song Ting Sun Yixiao Chen Xiangze Meng Ailin Zhang Xi Wang dept. Beijing Information Science and Technology University Beijing China dept. Beijing Institute of Control and Electronics Technology Beijing China

ISBN: (数字)9798350350326

ISBN: (纸本)9798350350333

This paper explores the challenges and advancements in event-based visual sensing technology, focusing on the denoising of event streams generated by event cameras. Event cameras, inspired by biological visual systems, offer significant advantages over traditional cameras in high-speed motion scenarios. However, they face challenges such as background activity noise (BA), which can degrade the quality of event stream data. In this study, we propose a novel denoising method based on both temporal and spatial correlations of event stream data. By setting different event processing windows, we effectively filter out noise while preserving genuine event information. We also introduce a visualization technique that converts event stream data into grayscale intensity images, enabling intuitive evaluation of denoising effectiveness. Experimental results demonstrate the superiority of our proposed method in reducing noise and improving image quality in various scenarios, including close-range moving targets and complex dataset environments.

关键词： Image quality Visualization Correlation Event detection Noise reduction Noise Cameras information filters Sensors Streams

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The MAC protocol optimization of industrial wireless ad-hoc network

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Sensors and Transducers 2013年第10期157卷 153-159页

作者： Wang, Jun Wang, Jian Pang, Yujun Dept. of Computer Science and Technology Shenyang University of Chemical Technology 110142 China Dept. of Information Engineering Shenyang University of Chemical Technology 110142 China

This paper focuses on the study of MAC protocol in industrial wireless ad-hoc network, aiming at improving the fairness of industrial wireless ad-hoc network and quality of service (QOS). As a result, Hybrid Bi-channel Improvement of CSMA/CA mechanism and Dynamic Time Slot of TDMA mechanism MAC (B-T-MAC) is proposed. This protocol using the super frame structure, adopts the methods of bi-channel improvement and dynamic slot to optimize and improve CSMA/CA and TDMA mechan QOS ism respectively. The simulation results show that B-T-MAC can effectively enhance the overall performance of industrial wireless ad-hoc network, which outperforms Hybrid CSMA and TDMA MAC (C-T-MAC) significantly in throughput and time delay. © 2013 IFSA.

关键词： Quality of service

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