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Yang Tang^1,*, Weiwei Liu¹, Chennan Zhang², Yihao He¹, Ning Ji¹, Xinyao Chen¹
Journal on Internet of Things, Vol.2, No.3, pp. 89-99, 2020, DOI:10.32604/jiot.2020.010107 - 16 September 2020
Abstract Bike sharing emerging from college campus in Mainland China has become a major part in the daily traveling of Chinese urban residents. It changes the traveling behavior of urban residents, and simultaneously, raises higher requirements on urban transportation facility construction and management. However, the return of bike sharing to college campus causes more troubles to schools. The fundamental cause is the closed peculiarity of campus traveling comparing with city traveling, and also the discrepancy between college campuses of different types. This paper investigates the traveling characteristics of bike sharing in college campus in three different More >

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1294

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ARTICLE

Yang Tang^1,*, Weiwei Liu¹, Yihao He¹, Yuelin Zhang², Fulong Zhang²
Journal on Internet of Things, Vol.2, No.3, pp. 101-107, 2020, DOI:10.32604/jiot.2020.010108 - 16 September 2020
Abstract Public bicycle service has experienced 15 years of development in Chinese cities, and mainland China is the world's largest public bicycle market. Choosing to use public bicycles is becoming more and more a daily habit of residents. Broadly speaking, public bicycles in Chinese cities include both public bikes with service stations and shared bicycles without service stations. Based on historical review and years of accumulated data, this paper reviews the development of general public bicycles in Chinese cities in the past 15 years. And the role of general public bicycles in China’s urban transportation system More >

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1269

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Yanming Wang^1,2,3, Kebin Jia^1,2,3,*, Pengyu Liu^1,2,3
Journal on Internet of Things, Vol.2, No.3, pp. 109-120, 2020, DOI:10.32604/jiot.2020.010138 - 16 September 2020
Abstract With the global climate change, the high-altitude detection is more and more important in the climate prediction, and the input-output characteristic curve of the air pressure sensor is offset due to the interference of the tested object and the environment under test, and the nonlinear error is generated. Aiming at the difficulty of nonlinear correction of pressure sensor and the low accuracy of correction results, depth neural network model was established based on wavelet function, and Levenberg-Marquardt algorithm is used to update network parameters to realize the nonlinear correction of pressure sensor. The experimental results More >

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1303

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ARTICLE

Xiaokan Wang^*, Qiong Wang
Journal on Internet of Things, Vol.2, No.3, pp. 121-127, 2020, DOI:10.32604/jiot.2020.010200 - 16 September 2020
Abstract In order to prevent drunk driving timely and protect personal safety, a kind of vehicle-loaded alcohol concentration detector based on single chip microcomputer control is designed. The detector usesAT89C51 microcontroller as the core, makes use of the gas sensor, A/D converter to detect the alcohol concentration of the breath of the driver, can set different thresholds according to the space of the car model, automatically cut off the ignition circuit for the exceeded threshold, and has the sound and light alarm function, which fundamentally solve the problem of drunk driving. The instrument is compact in More >

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