The WPW 2020 composes the 2020 IEEE MTT-S Wireless Power Transfer Conference (WPTC 2020), the 2020 IEEE PELS Workshop on Emerging Technologies: Wireless Power (WoW 2020), and AirFuel Alliance (AFA) Developers Forum 2020, which will be co-located and co-sponsored by IEEE Microwave Theory ...
The 2020 Wireless Power Week (WPW2020) is the largest wireless power event in the world, co-sponsored by IEEE Microwave Theory Technique Society (MTT-S), Power Electronics Society (PELS), and AirFuel Alliance (AFA). IEEE MTT-S Wireless Power Transfer Conference (WPTC), IEEE PELS Workshop ...
Microwave-based wireless power transfer can be used for low power consumption applications such as wireless sensor network because this technology can cover long distance. There are some methods to improve transmission efficiency. First,...
来源会议 Wireless Power Transfer Conference 2015 研究点推荐 RF power transfer harvesting wireless power transfer textile 站内活动 0关于我们 百度学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们保持学习的态度,不忘初心,砥砺前行。了解更多>>...
[IEEE 2017 IEEE Wireless Power Transfer Conference (WPTC) - Taipei, Taiwan (2017.5.10-2017.5.12)] 2017 IEEE Wireless Power Transfer Conference (WPTC) - Dat... K Nakanishi,M Sasaki 被引量: 0发表: 2017年 [IEEE 2017 IEEE Wireless Power Transfer Conference (WPTC) - Taipei, Taiwan (2017.5....
The 2022 IEEE Wireless Power Week Conference (WPW 2022) will be held on July 4-9 2022 , jointly with the Energy Harvesting Summit. WPW is the largest wireless power event in the world, financially co-sponsored by IEEE Microwave Theory and Techniques Society (MTT-S) and Power Electronics ...
The 2020 Wireless Power Week (WPW2020) will include IEEE PELS Workshop on Emerging Technologies: Wireless Power (WoW), IEEE MTT-S Wireless Power Transfer Conferences (WPTC), and AFA Developers Forum 2020. The three meetings will be co-located in Seoul, Korea on May 5 – 9, 2020, ...
[IEEE 2014 IEEE Wireless Power Transfer Conference (WPTC) - Jeju City, South Korea (2014.5.8-2014.5.9)] 2014 IEEE Wireless Power Transfer Conference - Adve... 目的:明确慢性阻塞性肺疾病住院患者合并抑郁的现状,探索影响患 者发生抑郁的因素.方法采用抑郁自评量表对164例慢性阻塞性肺疾病住院患者进行测...