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PSMA首届国际能量采集研讨会-PSMA Inaugural international energy harvesting workshop(EnerHarv 2018)将于2018年5月29日-31日在爱尔兰科克郡(Cork, Ireland) 召开。能源采集的开发潜力和在实际应用中的限制,已受到电源和物联网产业的共同关注。低功耗物联网设备的电池需求,已成为阻碍其发展的潜在因素。因此,某种具有...
The scope of the conference ranges from topics in basic research in energy harvesting and storage techniques to component and subsystem level development for defense, security, space, and commercial a...
Soft matter surrounds us. Materials in a variety of physical and chemical states are easily deformed when exposed to external mechanical, electrical, chemical or optical stimuli. Interdisciplinary mat...
Energy-harvesting and wireless power transfer are quickly becoming game-changing technologies for wireless systems. By eliminating bulky batteries, decoupling node deployments from the power grid, and...
Researchers at Disney Research and Carnegie Mellon University (CMU) have developed a system for finding computer bugs in small devices that scavenge their energy from their environment and are subject...
In this paper, we show how to achieve close-to-optimal utility performance in energy harvesting networks with only finite capacity energy storage devices. In these networks,nodes are capable of harves...
In this paper, we present a novel learning-aided energy management scheme (LEM) for multihop energy har-vesting networks. Different from prior works on this problem,our algorithm explicitly incorporat...
Sensor nodes equipped with renewable energy sources are capable of recharging their batteries and supporting data collection and transmission indefinitely. Energy and data management of these types of...
The key limitation in mobile computing systems is energy - without a stable power supply, these systems cannot process, store, or communicate data. This problem is of particular interest since the sto...
Energy harvesting (EH) is a multidisciplinary research area, involving physics, materials science and engineering, with the objective of providing renewable sources of sufficient power to operate targ...
In this paper, we show how to achieve close-tooptimal utility performance in energy harvesting networks with only finite capacity energy storage devices.
In energy harvesting communication systems, an exogenous recharge process supplies energy for the data transmission and arriving energy can be buffered in a battery before consumption.
Sensor nodes with energy harvesting sources are gaining popularity due to their ability to improve the network life time and are becoming a preferred choice supportinggreen communication’.
Converting ambient vibration energy into electrical energy by using piezoelectric energy harvester has attracted a lot of interest in the past few years. In this paper, a topology optimization based m...

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