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Wireless RF Energy Transfer in the Massive IoT Era最新文献

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Massive IoT
Pub Date : 2021-11-19 DOI: 10.1002/9781119718703.ch1
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引用次数: 0
Frontmatter
Pub Date : 2021-11-19 DOI: 10.1002/9781119718703.fmatter
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引用次数: 0
Clustering Algorithms 聚类算法
Pub Date : 2021-11-19 DOI: 10.4135/9781446251119.n10
Feng-Jyh Lin
Data mining tasks  Predictive vs descriptive tasks – Predictive tasks: predict the value of a particular attribute (the target variable) based on the values of other attributes – Descriptive tasks: derive patterns (correlations, trends, clusters, trajectories, and anomalies) that summarize the underlying relationships in data  Predictive modeling – The goal of predictive modeling is to learn a model that minimizes the error between the predicted and true values of the target variable – Classification: for discrete target variables – Regression: for continuous target variables  Cluster analysis – The goal is to find groups of similar observations/objects – Many clustering algorithms have been developed Applications of clustering in biology
数据挖掘任务—预测性任务与描述性任务—预测性任务:根据其他属性的值预测特定属性(目标变量)的值—描述性任务:导出模式(相关性,趋势,集群,轨迹和异常),总结数据中的潜在关系·预测建模-预测建模的目标是学习一个模型,最大限度地减少目标变量的预测值和真实值之间的误差-分类:对于离散目标变量-回归:对于连续目标变量-聚类分析-目标是找到相似的观察/对象组-许多聚类算法已经开发
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引用次数: 0
Wireless RF Energy Transfer: An Overview 无线射频能量传输:概述
Pub Date : 2021-11-19 DOI: 10.1002/9781119718703.ch2
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引用次数: 0
Simultaneous Wireless Information and Power Transfer 同时无线信息和电力传输
Pub Date : 2021-11-19 DOI: 10.1002/9781119718703.ch7
The wireless body area network (WBAN) is one of the applications of the Internet of things (IoT) for healthcare, which monitors human physiological parameters. In this paper, a two-objective optimization problem is designed to maximize the sum-throughput and wireless transferred energy simultaneously. The designed one-tier network includes body surface sensors, an implantable sensor, and one coordinator. All of these sensors can harvest energy from the body and radio frequency (RF) signals. A temperature constraint is considered for the implanted sensor due to the sensitivity of internal tissues. Each sensor transmits physiological data to the coordinator in the uplink according to the scheduled time slots obtained by solving the optimization problem. At the beginning of each frame in the downlink, the coordinator transmits a pilot signal to transfer wireless energy and for channel estimation at the sensors. We have used a Recurrent Neural Network (RNN) architecture to predict one time step ahead of the channel. Then by interpolation, the channel gains of all time slots of a frame are estimated and the time scheduling of the sensor access to the channel is improved. The simulation results show that the objective function and time scheduling are improved by the proposed algorithms.
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引用次数: 9
Efficient Schemes for WET 有效的污水处理计划
Pub Date : 2021-11-19 DOI: 10.1002/9781119718703.ch4
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引用次数: 0
Index 指数
Pub Date : 2021-11-19 DOI: 10.1002/9781119718703.index
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引用次数: 0
Wireless‐powered Communication Networks 无线通信网络
Pub Date : 2021-11-19 DOI: 10.1002/9781119718703.ch6
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引用次数: 1
Ambient RF EH 环境射频EH
Pub Date : 2021-11-19 DOI: 10.1002/9781119718703.ch3
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引用次数: 0
Multi‐PB Massive WET 多PB大量湿
Pub Date : 2021-11-19 DOI: 10.1002/9781119718703.ch5
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引用次数: 0
期刊
Wireless RF Energy Transfer in the Massive IoT Era
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