The technology of the internet of things (IoT) describes wireless sensor network devices able to quantify physical phenomena in a digital data format and send them to a base station to analyze. Their performance, howe...
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With the rapid development of new energy, a large number of distributed generation (DG) are connected to the distribution network. As the number of DGs connected to the grid increases, it will exacerbate voltage fluct...
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We are currently experiencing an energy crisis because of the quick depletion of fossil resources and increased environmental protection consciousness. In order to meet the energy demand, renewable energy sources (RES...
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Smart Farming with IOT and sensor Networks is an advanced technology that enables traditional farmers to reduce waste and introduce intelligence in measuring the productivity of crops. The papers show how deploying IO...
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This work investigates the signal characteristics of a physiological response (acute stress) and determines the viability of developing a Virtual Reality (VR) integrated physiologically based real-time feedback loop. ...
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As renewable energy sources in the grid increase, the utilization of distributed power sources has become a research focus, with the parallel connection of multiple small power sources to provide high-power output bec...
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A distributed Nash equilibrium (NE) seeking algorithm is proposed for multi-agent systems under non-cooperative game settings, where players are subject to hybrid attacks composed of Denial-of-service (DoS) and false ...
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3D object tracking has great potential applications in computing intensive cyber-physical systems, particularly auto-nomic driving. However, Object tracking based on deep neural networks is vulnerable to adversarial e...
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The proceedings contain 30 papers. The topics discussed include: adaptive control of data center cooling using deep reinforcement learning;automatic differentiation over fluid models for holistic load balancing;of dia...
ISBN:
(纸本)9781665471374
The proceedings contain 30 papers. The topics discussed include: adaptive control of data center cooling using deep reinforcement learning;automatic differentiation over fluid models for holistic load balancing;of diamonds, rings, and bracelets: local values of the response parameter can increase the synchronization probability in pulse-coupled oscillators;the impact of multi-scale control topology on asset distribution in dynamic environments;on the dynamic evolution of distributed computational aggregates;towards an evaluation framework for autonomous systems;reinforcement learning for sustainability: adapting in large-scale heterogeneous dynamic environments;and designing self-adaptive software systems with control theory: an overview.
As a renewable and sustainable energy source, distributed photovoltaics (PV) offer a practical solution to reduce carbon emissions and energy costs and increase energy independence for users. For photovoltaic (PV) ope...
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