Results 81 to 90 of about 367,785 (340)

A Spatial Filtering Based Gridless DOA Estimation Method for Coherent Sources

IEEE Access, 2018
In this paper, we investigate a covariance matrix reconstruction approach (CMRA) for direction-of-arrival (DOA) estimation in correlated/coherent sources scenario.
Xiaohuan Wu, Wei-Ping Zhu, Jun Yan, Zeyun Zhang   +3 more
doaj   +1 more source

Active node determination for correlated data gathering in wireless sensor networks [PDF]

, 2013
Cataloged from PDF version of article.In wireless sensor network applications where data gathered by different sensor nodes is correlated, not all sensor nodes need to be active for the wireless sensor network to be functional.
Aykanat, C., Karasabun, E., Korpeoglu, I.   +2 more
core   +1 more source

Photoswitching Conduction in Framework Materials

Advanced Functional Materials, EarlyView.
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez, Stefan Hecht, Wolfgang Wenzel, Lars Heinke, Mariana Kozlowska   +4 more
wiley   +1 more source

Challenges of Mobile Social Device Caching

IEEE Access, 2016
Wireless caching at network edges (in user devices or in base stations) is considered to be a promising solution to alleviate backhaul overload in future wireless networks. Device-to-Device (D2D)-assisted caching emerges as an attractive option.
Yecheng Wu, Sha Yao, Yang Yang, Ting Zhou, Hua Qian, Honglin Hu, Matti Hamalainen   +6 more
doaj   +1 more source

Wireless Power Transfer and Data Collection in Wireless Sensor Networks

, 2017
In a rechargeable wireless sensor network, the data packets are generated by sensor nodes at a specific data rate, and transmitted to a base station. Moreover, the base station transfers power to the nodes by using Wireless Power Transfer (WPT) to extend
Abolhasan, Mehran, Duan, Lingjie, Li, Kai, Ni, Wei, Niu, Jianwei   +4 more
core   +1 more source

Toward the 3rd Generation of Smart Farming: Materials, Devices, and Systems for E‐Plant Technologies

Advanced Functional Materials, EarlyView.
This review explores the latest developments in e‐plant technologies, which are revolutionizing smart farming by enabling real‐time monitoring of plant and environmental conditions. It covers the design, applications, and systems of e‐plant devices, detailing how they integrate data analytics to optimize agricultural practices, enhance crop yields, and
Daegun Kim, Jonghyun Won, Hyeongmin Park, Jun‐Gyu Choi, Sungjun Park, Giwon Lee   +5 more
wiley   +1 more source

Cross-Modal Graph Semantic Communication Assisted by Generative AI in the Metaverse for 6G

Research
Recently, the development of the Metaverse has become a frontier spotlight, which is an important demonstration of the integration innovation of advanced technologies in the Internet.
Mingkai Chen, Minghao Liu, Congyan Wang, Xingnuo Song, Zhe Zhang, Yannan Xie, Lei Wang   +6 more
doaj   +1 more source

Fusing target information from multiple views for robust visual tracking

IET Computer Vision, 2014
In this study, the authors address the problem of tracking a single target in a calibrated multi‐camera surveillance system with information on its location in the first frame of each view. Recently, tracking with online multiple instance learning (OMIL)
Keli Hu, Xing Zhang, Yuzhang Gu, Yingguan Wang   +3 more
doaj   +1 more source

Encrypted Network Traffic Classification Using Deep and Parallel Network-in-Network Models

IEEE Access, 2020
Network traffic classification aims to recognize different application or traffic types by analyzing received data packets. This paper presents a neural network model with deep and parallel network-in-network (NIN) structures for classifying encrypted ...
Zhiyong Bu, Bin Zhou, Pengyu Cheng, Kecheng Zhang, Zhen-Hua Ling   +4 more
doaj   +1 more source

Gaussian‐Sigmoid Reinforcement Transistors: Resolving Exploration‐Exploitation Trade‐Off Through Gate Voltage‐Controlled Activation Functions

Advanced Functional Materials, EarlyView.
The characteristics of a vertical n–p–i–p heterostructure transistor device, which exhibits a voltage‐tunable transition between Gaussian and sigmoid functions, are investigated. The mixed state of the transfer curve enables the utilization of both exploitation and exploration, improving computational performance in reinforcement learning tasks ...
Jisoo Park, Juhyung Seo, Ryun‐Han Koo, Dinithi Jayasuriya, Nethmi Jayasinghe, Wonjun Shin, Amit R. Trivedi, Hocheon Yoo   +7 more
wiley   +1 more source