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Top News In பேட்டரிகள் க்கு மின் ஆற்றல் சேமிப்பு இல் போக்குவரத்து Today - Breaking & Trending Today

"Learning to Charge RF-Energy Harvesting Devices in WiFi Networks" by Yizhou Luo and Kwan Wu Chin

Future WiFi networks will be powered by renewable sources. They will also have radio frequency (RF)-energy harvesting devices. In these networks, a solar-powered access point (AP) will be tasked with supporting both nonenergy harvesting or legacy data users such as laptops, and RF-energy harvesting sensor devices. A key issue is ensuring the AP uses its harvested energy efficiently. To this end, this article contributes two novel solutions that allow the AP to control its transmit power to meet the data rate requirement of legacy users and also to ensure RF-energy devices harvest sufficient energy to transmit their sensed data. Advantageously, these solutions can be deployed in current wireless networks, and they do not require perfect channel gain information to sensor devices or noncausal energy arrivals at an AP. The first solution uses a deep Q-network (DQN) whilst the second solution uses model predictive control (MPC) to manage the AP’s transmit power subject to its available e ....

Receding Horizon Control , Einforcement Learning Rl , Signal To Noise Ratio , Task Analysis , Wireless Fidelity , கேளுங்கள் பகுப்பாய்வு ,

"Link Scheduling in Rechargeable Wireless Sensor Networks with Imperfec" by Tony Tony, Sieteng Soh et al.

Abstract
This paper considers the novel problem of deriving a Time Division Multiple Access (TDMA) link schedule for rechargeable wireless sensor networks (rWSNs). Unlike past works, it considers: (i) the energy harvesting time of nodes, (ii) a battery cycle constraint that is used to overcome so called memory effects, and (iii) battery imperfections, i.e., leakage. This paper shows analytically that the battery cycle constraint and leaking batteries lead to unscheduled links. Further, it presents a greedy heuristic that schedules links according to when their corresponding nodes have sufficient energy. Our simulations show that enforcing the battery cycle constraint increases the link schedule by up to 1.71 (0.31) times for nodes equipped with a leaking (leak-free) battery. When nodes have a leaking battery, the derived schedules are on average 1.05 times longer than the case where nodes have a leak-free battery. Finally, the battery cycle constraint reduces the number of cha ....

Time Division Multiple Access , Attery Cycle Constraint , Ischarges Electric , Energy Harvesting , Arvesting Time , Rink Schedule , Time Division Multiple Access , Wireless Sensor Networks , நேரம் பிரிவு பல நுழைவு ,

"Synchrotron X-Ray Absorption Spectroscopy and Electrochemical Study of" by Zhibin Wu, Gemeng Liang et al.

Abstract
Elucidating the battery operating mechanism is important for designing better conversion-type anodes as it determines the strategies used to improve electrochemical performances. Herein, the authors pioneered the electrochemical study of layered Bi O Se as anodes for lithium-ion batteries (LIBs) and potassium-ion batteries (PIBs). Surprisingly, the Bi O Se/graphite composite electrode shows even better cycle stability for PIBs. The electrochemical reaction mechanisms of the Bi O Se/graphite electrode for LIBs and PIBs are investigated by potential-resolved in situ and ex situ X-ray absorption spectroscopy based at the Bi L -edge and Se K-edge through characterizing the local atomic structure evolution, valence state change, and charge transfer. New insights are gained regarding the electrochemical process of Se anions in Bi O Se, where multiple Li–Se intermediates rather than the traditional single-phase Li Se are involved in this conversion-type anode. The advance ....

Io Se 2 , N Situ Investigations , X Ray Absorption Spectroscopy , எக்ஸ் ராய் ஸ்பெக்ட்ரோஸ்கோபி ,

"A Cooperative Energy Management in a Virtual Energy Hub of an Electric" by Arian Zahedmanesh, Kashem M. Muttaqi et al.

Electric transport systems and renewable energy sources (RESs) have recently attracted significant interest, because of the limitations and drawbacks of fossil fuels and the growing demand for utilization of clean energy. Suitable paradigms are needed to manage the atypical and heterogeneous load of electric vehicles (EVs), the intermittent nature of RESs, and the changeability of electrical loads in power networks. The technical and commercial operation of an integrated system comprising an electric transportation system with a battery-powered bus (eBus) charging station and an EV parking lot, integrated with solar photovoltaic (PV) generation and combined with a battery storage system (BSS), as a virtual energy hub (VEH) is proposed. Moreover, a cooperative decision making (CDM) strategy is proposed for the VEH, where the active and reactive power flows and the economic operation of the VEH are scheduled using a novel three-stage cooperative control system. A supervisory control syst ....

Lectric Bus Ebus , Electric Vehicle Ev , Electric Vehicle Charging , Energy Management , Hotovoltaic Pv , Real Time Systems , Us Department Of Defense , Vehicle To Grid , Irtual Energy Hub Veh , கள் துறை ஆஃப் பாதுகாப்பு ,

"Powering Implantable and Ingestible Electronics" by So Yoon Yang, Vitor Sencadas et al.

Implantable and ingestible biomedical electronic devices can be useful tools for detecting physiological and pathophysiological signals, and providing treatments that cannot be done externally. However, one major challenge in the development of these devices is the limited lifetime of their power sources. The state-of-the-art of powering technologies for implantable and ingestible electronics is reviewed here. The structure and power requirements of implantable and ingestible biomedical electronics are described to guide the development of powering technologies. These powering technologies include novel batteries that can be used as both power sources and for energy storage, devices that can harvest energy from the human body, and devices that can receive and operate with energy transferred from exogenous sources. Furthermore, potential sources of mechanical, chemical, and electromagnetic energy present around common target locations of implantable and ingestible electronics are thorou ....

Energy Harvesting , Energy Transfer , Implantable Electronics , Ingestible Electronics ,