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Chaohu, China

Chaohu University , located in Chaohu, Anhui Province of China, is an institution of higher learning under jurisdiction of Anhui Province.The university was founded in 1977 as Chaohu Specialized Normal School. Upon the approval of the Ministry of Education in April 2002, it was elevated and renamed Chaohu University, affiliated to the Education Bureau of Anhui Province.Chaohu University has a land area of 650,000 sq meters, among which the construction area covers 250,000 sq meters. The university publishes the "Journal of Chaohu University".Current president: Dong Wuqing. Wikipedia.

Li S.,Chaohu University
Proceedings - 2011 International Conference on Network Computing and Information Security, NCIS 2011 | Year: 2011

The problem of speech denoising using wavelet packet decomposition algorithm is considered. For denoising, certain wavelet packet coefficients (frequency) are set to zero and the others are thresholded. We make a comparation of wavelet-packet coefficients algorithm and amended wavelet-packet frequency algorithm in the application of speech denoising. The amended wavelet-packet frequency algorithm is proposed and implemented that can further improve the performance of the denoising system. © 2011 IEEE. Source

Gan Q.,Chaohu University
Open Automation and Control Systems Journal | Year: 2015

In this paper, we prompt a new multi-dimensional logistics method based on the Internet of Things (IOT). Internet of Things is a good enabling technology for logistics and supply chains which implements seamless, real-time tracking and monitoring goods at the level of items. In this paper, we propose a solution, which adopts RFID/GPS/3G/GIS technologies to implement real-time surveillance of logistics in transit. Based on the proposed solution, we chose the tabacco logistics as an example and developed an actual monitoring system for Logistics & Distribution Center of China, which successfully implements real-time vehicle tracking and cigarette packages monitoring. The outcome indicates that this solution minimizes missing goods and effectively reduces wrong delivery. © Bu et al. Source

Yang H.,Chaohu University
Advanced Materials Research | Year: 2013

In power quality monitoring system, there are unavoidably existing various kinds of noises in collected data, presence of noise may result in increased false classification rate, denoising is an extremely important work for detection and classification of power quality disturbances. In order to improve the denoising result of power quality signal, an denoising method for power quality signal using Savitzky-Golay is proposed. Numerical results show that the proposed method can eliminate the influence of noise components and implement transient power quality disturbance detection and localization, thus providing good foundations for transient power quality disturbance monitoring under noise environment. © (2013) Trans Tech Publications, Switzerland. Source

Hou Y.,Chaohu University
Mathematical Problems in Engineering | Year: 2014

Uncertain statistics is a methodology for collecting and interpreting the expert's experimental data by uncertainty theory. In order to estimate uncertainty distributions, an optimization model based on analytic hierarchy process (AHP) and interpolation method is proposed in this paper. In addition, the principle of least squares method is presented to estimate uncertainty distributions with known functional form. Finally, the effectiveness of this method is illustrated by an example. © 2014 Yongchao Hou. Source

Xu M.K.,Chaohu University
Advanced Materials Research | Year: 2013

P+a-SiC/ I nc-Si/N+a-Si structure solar cells is simulated by AMPS-1D program package to characterize the new thin film solar cell. In order to analyze the characteristics of the device, the thickness of layer are considered. The results show that the thickness of layer and the value of layer have a great effect on the conversion efficiency. Our results suggest a high performance P a-SiC/ I nc-Si/N a-Si structure solar cells with high efficiency of 14.411% and fill factor of 0.738. The simulation result is potentially valuable in exploring gradual bandgap P+a-SiC/I nc-Si/N+a-Si structure solar cells with high performance. © (2013) Trans Tech Publications, Switzerland. Source

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