Wireless Sensing by Generating Electricity with Familiar Bacteria

2020 ◽  
Vol 140 (11) ◽  
pp. 724-727
Author(s):  
Teppei HAYASHI
Keyword(s):  
Wireless Sensing

Fully-physically crosslinked silk fibroin/poly(hydroxyethyl acrylamide) hydrogel with high transparency and adhesive properties for wireless sensing and low-temperature strain sensing

2021 ◽  
Vol 9 (6) ◽  
pp. 1880-1887
Author(s):  
Xia Sun ◽  
Shaoshuai He ◽  
Mengmeng Yao ◽  
Xiaojun Wu ◽  
Haitao Zhang ◽  
...  
Keyword(s):  
Low Temperature ◽  
Silk Fibroin ◽  
Temperature Sensing ◽  
Wireless Sensing ◽  
Strain Sensitivity ◽  
Strain Sensing ◽  
Adhesive Properties ◽  
High Transparency ◽  
Physically Crosslinked ◽  
Temperature Strain

Fully-physically crosslinked hydrogels with strain sensitivity and anti-freezing properties for wireless sensing and low temperature sensing were prepared.

Deep AI Enabled Ubiquitous Wireless Sensing

2021 ◽  
Vol 54 (2) ◽  
pp. 1-35
Author(s):  
Chenning Li ◽  
Zhichao Cao ◽  
Yunhao Liu
Keyword(s):  
Great Success ◽  
Wireless Sensing ◽  
Ubiquitous Sensing ◽  
Sensing Systems ◽  
The Status ◽  
Sensing Model ◽  
High Level ◽  
Traditional Approaches ◽  
The Internet Of Things ◽  
High Level Feature

With the development of the Internet of Things (IoT), many kinds of wireless signals (e.g., Wi-Fi, LoRa, RFID) are filling our living and working spaces nowadays. Beyond communication, wireless signals can sense the status of surrounding objects, known as wireless sensing , with their reflection, scattering, and refraction while propagating in space. In the last decade, many sophisticated wireless sensing techniques and systems were widely studied for various applications (e.g., gesture recognition, localization, and object imaging). Recently, deep Artificial Intelligence (AI), also known as Deep Learning (DL), has shown great success in computer vision. And some works have initially proved that deep AI can benefit wireless sensing as well, leading to a brand-new step toward ubiquitous sensing. In this survey, we focus on the evolution of wireless sensing enhanced by deep AI techniques. We first present a general workflow of Wireless Sensing Systems (WSSs) which consists of signal pre-processing, high-level feature, and sensing model formulation. For each module, existing deep AI-based techniques are summarized, further compared with traditional approaches. Then, we provide a view of issues and challenges induced by combining deep AI and wireless sensing together. Finally, we discuss the future trends of deep AI to enable ubiquitous wireless sensing.

An Energy-efficient Street Lighting Approach Based on Traffic Parameters Measured by Wireless Sensing Technology

2021 ◽  
pp. 1-1
Author(s):  
Yuxi Jiang ◽  
Yinghong Shuai ◽  
Xiaoliang He ◽  
Xing Wen ◽  
Liangliang Lou
Keyword(s):  
Energy Efficient ◽  
Wireless Sensing ◽  
Street Lighting ◽  
Sensing Technology

scholarly journals Circuits and Systems for Wireless Sensing

2017 ◽  
Vol 2017 ◽  
pp. 1-2
Author(s):  
Xiongchuan Huang ◽  
Xiaopeng Yu ◽  
Chao Wang ◽  
Hao Gao
Keyword(s):  
Wireless Sensing

Biofuel cell backpacked insect and its application to wireless sensing

2016 ◽  
Vol 78 ◽  
pp. 390-395 ◽  
Author(s):  
Kan Shoji ◽  
Yoshitake Akiyama ◽  
Masato Suzuki ◽  
Nobuhumi Nakamura ◽  
Hiroyuki Ohno ◽  
...  
Keyword(s):  
Biofuel Cell ◽  
Wireless Sensing
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