Vision-based Scene Analysis toward Dangerous Cycling Behavior Detection Using Smartphones

2021 ◽  
Author(s):  
Hirotaka Hayashi ◽  
Anran Xu ◽  
Zhongyi Zhou ◽  
Koji Yatani
Keyword(s):  
Scene Analysis ◽  
Behavior Detection ◽  
Cycling Behavior

Development of a Awaking Behavior Detection System Using a Neural Network

2008 ◽  
Vol 128 (11) ◽  
pp. 1649-1656 ◽  
Author(s):  
Hironobu Satoh ◽  
Fumiaki Takeda ◽  
Yuhki Shiraishi ◽  
Rie Ikeda
Keyword(s):  
Neural Network ◽  
Detection System ◽  
Behavior Detection

scholarly journals 1.8 V Aqueous Symmetric Carbon-Based Supercapacitors with Agarose-Bound Activated Carbons in an Acidic Electrolyte

Nanomaterials ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1731
Author(s):  
Chih-Chung Lai ◽  
Feng-Hao Hsu ◽  
Su-Yang Hsu ◽  
Ming-Jay Deng ◽  
Kueih-Tzu Lu ◽  
...  
Keyword(s):  
Activated Carbon ◽  
Sulfuric Acid ◽  
Energy Density ◽  
Activated Carbons ◽  
High Energy ◽  
Aqueous Electrolytes ◽  
Alternative Material ◽  
Aqueous Cells ◽  
Acidic Electrolyte ◽  
Cycling Behavior

The specific energy of an aqueous carbon supercapacitor is generally small, resulting mainly from a narrow potential window of aqueous electrolytes. Here, we introduced agarose, an ecologically compatible polymer, as a novel binder to fabricate an activated carbon supercapacitor, enabling a wider potential window attributed to a high overpotential of the hydrogen-evolution reaction (HER) of agarose-bound activated carbons in sulfuric acid. Assembled symmetric aqueous cells can be galvanostatically cycled up to 1.8 V, attaining an enhanced energy density of 13.5 W h/kg (9.5 µW h/cm2) at 450 W/kg (315 µW/cm2). Furthermore, a great cycling behavior was obtained, with a 94.2% retention of capacitance after 10,000 cycles at 2 A/g. This work might guide the design of an alternative material for high-energy aqueous supercapacitors.

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