Abstract:In recent years, with the development of device-free sensing (DFS), researchers have applied it to the field of identity recognition. By taking advantage of the unique influence that different people have on surrounding wireless signals, the technology is able to identify people in a contactless way. Some progress has been made in identification by analyzing the gait information in the received wireless signals, but it needs to provide enough space for walking, which limits its application scenarios to some extent. In order to solve this problem, this paper proposes WAID, a recognition system based on human activities. Through analyzing the unique influence of different people doing the same activity on the channel state information (CSI) of WiFi signal, the identity information of people can be extracted from it. Thus, identification can be achieved by performing activities in fixed locations where there are no area requirements. The experimental results show that in the case of 2 to 6 people, the average recognition accuracy of WAID is 94.3% to 88%, and the average accuracy under six positions is 84.8%.

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	1. Research on Activity-based Device-Free Human Identification Approach
	YANG Yu,JIANG Ting,DING Xue,ZHONG Yi
	Electrics, Communication and Autocontrol Technology 31 March 2021
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	Abstract:In recent years, with the development of device-free sensing (DFS), researchers have applied it to the field of identity recognition. By taking advantage of the unique influence that different people have on surrounding wireless signals, the technology is able to identify people in a contactless way. Some progress has been made in identification by analyzing the gait information in the received wireless signals, but it needs to provide enough space for walking, which limits its application scenarios to some extent. In order to solve this problem, this paper proposes WAID, a recognition system based on human activities. Through analyzing the unique influence of different people doing the same activity on the channel state information (CSI) of WiFi signal, the identity information of people can be extracted from it. Thus, identification can be achieved by performing activities in fixed locations where there are no area requirements. The experimental results show that in the case of 2 to 6 people, the average recognition accuracy of WAID is 94.3% to 88%, and the average accuracy under six positions is 84.8%.
	TO cite this article:YANG Yu,JIANG Ting,DING Xue, et al. Research on Activity-based Device-Free Human Identification Approach[OL].[31 March 2021] http://en.paper.edu.cn/en_releasepaper/content/4754417


	2. Scene Classification Based on minimized Deep Convolutional Neural Networks
	LIU Yu-xuan, DONG Yuan, BAI Hong-liang
	Electrics, Communication and Autocontrol Technology 24 June 2016
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	Abstract: Scene Classification is a subdivision problem of Large-scale classfication problem since the latter has been basically resolved. In this article, several common Scene Classification Data-set and their differences are introduced. Additionally, there are lots of advanced methods of Deep Convolutional Neural Network. Methods for solving Large-scale Classification problems to be used on solving Scene Classification is a very common way. This article summerizes the results of those network structures trained on Scene Data-sets. Therefore, this article introduces some improvement for simply using CNN on Scene Classification and their better result. Since the common network structure is so complicated that it takes a long time to train and test, a method of simplifying these deep networks is raised in this article. Reducing size of input pictures and numbers of convolution kernels could take effect on increasing the speed on both training and testing stages. Finally, this much smaller network got an acceptable result on the data-set. % Reviews: please describe the background, status and application of the research with 150-300 words. I and we can not be used as the subject, % and the abstract must not the same as the sentences of the main text. General research paper: please extracts the key points of the paper, give the main research achievements with object, methods, results and conclusion with 200-400 words. I and we can not be used as the subject, and the abstract must not the same as the sentences of the main text.
	TO cite this article:LIU Yu-xuan, DONG Yuan, BAI Hong-liang. Scene Classification Based on minimized Deep Convolutional Neural Networks[OL].[24 June 2016] http://en.paper.edu.cn/en_releasepaper/content/4698285

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	3. Masked Face Detection Using Deep Learning
	Li yichao,Qiting Ye,Zhao Luo,Shiming Ge
	Electrics, Communication and Autocontrol Technology 21 March 2016
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	Abstract:Face occlusion such as masked face is a challenge problem for most face detection algorithms due to a lack of discriminative information. In this paper, we proposed a novel method to address occluded face detection especially masked face detection. We built a masked face database whose images are collected from web images in the wild. The database includes more than 6000 images and more than 10000 masked faces. To perform masked face detection, we proposed a joint pre-detection and classification method, which learn a discriminative classifier based on deep learning to classify the face proposals which are generated by some weak face detectors. The classifier has higher discrimination power to masked face, unmasked face and non-face. Experimental comparisons with state-of-the-art face detection methods show that the proposed method can give better performance. .
	TO cite this article:Li yichao,Qiting Ye,Zhao Luo, et al. Masked Face Detection Using Deep Learning[OL].[21 March 2016] http://en.paper.edu.cn/en_releasepaper/content/4681179


	4. Learning-Based Compressed Sensing for Infrared Image Super Resolution
	Yao Zhao,Xiubao Sui,Qian Chen,Shaochi Wu
	Electrics, Communication and Autocontrol Technology 30 November 2015
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	Abstract:This paper presents an infrared image super-resolution method based on compressed sensing (CS). First, the reconstruction model under the CS framework is established and a Toeplitz matrix is selected as the sensing matrix. Compared with traditional learning-based methods, the proposed method uses a set of sub-dictionaries instead of two coupled dictionaries to recover high resolution (HR) images. And Toeplitz sensing matrix allows the proposed method time-efficient. Second, all training samples are divided into several feature spaces by using the proposed adaptive k-means classification method, which is more accurate than the standard k-means method. On the basis of this approach, a complex nonlinear mapping from the HR space to low resolution (LR) space can be converted into several compact linear mappings. Finally, the relationships between HR and LR image patches can be obtained by multi-sub-dictionaries and HR infrared images are reconstructed by the input LR images and multi-sub-dictionaries. The experimental results show that the proposed method is quantitatively and qualitatively more effective than other state-of-the-art methods.
	TO cite this article:Yao Zhao,Xiubao Sui,Qian Chen, et al. Learning-Based Compressed Sensing for Infrared Image Super Resolution[OL].[30 November 2015] http://en.paper.edu.cn/en_releasepaper/content/4665509


	5. A New Approach for Combining Video Content with Two-dimensional Barcode
	Xiaoyang Liu
	Electrics, Communication and Autocontrol Technology 26 November 2014
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	Abstract:In this paper, A new approach of video based dynamic two-dimensional barcode which can be applied in some limited scenes is proposed. The paper first analyses the problems that the most-common application of two-dimensional barcode may encounter in some scenes where the distance, displayer and data capacity are limited. Then, a method which applies sliding window and adaptive masking is proposed to tackle the above mentioned problems with minimum interference to the visual content. The proposed mothed has longer recognition distance and larger data capacity with a certain size of the displayer compared with other methods, and will obtain higher value in pritical applications.
	TO cite this article:Xiaoyang Liu. A New Approach for Combining Video Content with Two-dimensional Barcode[OL].[26 November 2014] http://en.paper.edu.cn/en_releasepaper/content/4620470


	6. Tracking Oil Spills Boundary Using Universal Kriging And Barrier Method By UAV
	Zhang Cheng,Pei Hailong
	Electrics, Communication and Autocontrol Technology 14 March 2014
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	Abstract:It is difficult to use one single unmanned aerial vehicle (UAV) to predict the whole environment on the seawater surface. In this paper, Universal Kriging (UK) technology is exploited to estimate the oil dispersion situation which make the UAV seek and track the objective boundary automatically through barrier method. The experiment demonstrates the combined method is effective and worthy of study.
	TO cite this article:Zhang Cheng,Pei Hailong. Tracking Oil Spills Boundary Using Universal Kriging And Barrier Method By UAV[OL].[14 March 2014] http://en.paper.edu.cn/en_releasepaper/content/4589005


	7. Design for channelized transmitter and receiver using efficient polyphase filter bank and IFFT structure
	HE Zhongqiu,SHAO Hao
	Electrics, Communication and Autocontrol Technology 26 November 2013
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	Abstract:Multi-rate signal processing and polyphase filtering with inverse of fast Fourier transform (IFFT) architecture are utilized to design channelized transmitter and receiver. N baseband signals with unlimited digital mapping form, modulated by IFFT processor and interpolation filters (cascaded by interpolators and low pass filters), are transmitted once and for all and arrive at the matched receiver after experiencing the additive white Gaussian noise (AWGN) channel. The receiver easily separates each primitive signal from corresponding subchannel by using the opposite decimation combined with polyphase filtering and another one IFFT operation, which contributes to high efficiency, low complexity and favorable instantaneity. Simulation results, including frequency spectra and constellations of typical signals from certain subchannels, demonstrate the feasibility and effectiveness of the presented design.
	TO cite this article:HE Zhongqiu,SHAO Hao. Design for channelized transmitter and receiver using efficient polyphase filter bank and IFFT structure[OL].[26 November 2013] http://en.paper.edu.cn/en_releasepaper/content/4572003


	8. The Design of A Kind of Multi-Wavelet Signal Filtering Algorithm and Application on Precision Optical Tracking Servo System
	Yang Pu,Ni Jiangfan
	Electrics, Communication and Autocontrol Technology 11 July 2013
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	Abstract:his paper is aiming at non-stationary characteristics of gyroscope noise in precision optical tracking servo system, using the advantages of orthogonal wavelet transform, to present a multi-wavelets fast filtering method which is based on an energy weighted threshold, it can simplify multi-wavelets preprocessing method, and automatically change filtering threshold of different wavelet coefficients on the same scale through the design of a self adjusting energy weighted threshold, optimize multi-wavelets signal filtering algorithm. The practical application to optical servo system shows, this filtering method can take obvious inhibitory effect on gyroscope noise, the filtering effect is superior to Kalman filter which is based upon model and single wavelet filtering method with fixed threshold.
	TO cite this article:Yang Pu,Ni Jiangfan. The Design of A Kind of Multi-Wavelet Signal Filtering Algorithm and Application on Precision Optical Tracking Servo System[OL].[11 July 2013] http://en.paper.edu.cn/en_releasepaper/content/4551343


	9. A fast algorithm of bit stream extraction using distortion prediction based on simulated annealing
	YANG Kaifang,WAN Shuai,GONG Yanchao
	Electrics, Communication and Autocontrol Technology 13 December 2012
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	Abstract:The scalable video streams can be extracted to meet the bandwidth limitations of different network end-users. Bit stream extraction is usually performed at the network proxy or gateway during transmissions, where a low computational complexity is always preferred. How to quickly and accurately select the best resolution combination for a video to meet different bandwidth requirements by each user is crucial in bit stream extraction. In this paper we proposed a fast algorithm of bit stream extraction for scalable video. The relationship between the base quality layer and the first quality layer was used to predict the distortion of higher quality layers. When quality of every layer is available, the proposed method searches for the optimal combination of quality layers based on simulated annealing. Experimental results show that the proposed method provides an optimized performance which is significantly higher than that can be achieved by the basic extraction method. Compared to the quality layer based extraction method in the reference software model of H.264/SVC (JSVM), the proposed algorithm can greatly decrease the decoding times from 2NT to only 2 without losing rate-distortion performance and can meet the demand of the real-time applications. Furthermore, the proposed method obtains a more smoothed video quality which is always preferable by the end user.
	TO cite this article:YANG Kaifang,WAN Shuai,GONG Yanchao. A fast algorithm of bit stream extraction using distortion prediction based on simulated annealing[J].


	10. The Research and Improvement on Dark Channel Prior Image Dehazing Algorithm
	Han Wang,Bo Yang
	Electrics, Communication and Autocontrol Technology 18 October 2012
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	Abstract:This paper focuses on the improvement of a newly proposed single image dehazing algorithm, Dark Channel Prior Method which is firstly proposed in paper Single Image Haze Removal Using Dark Channel Prior. The dark channel prior dehazing algorithm is based on a significant observation that in haze-free outdoor images most regions contain some pixels which have very low intensities (dark channel) in at least one color channel (RGB). Based on this observation, we can use the dark channel as the prior to directly estimate the haze thickness and recover a high quality haze-free image. Compared with other methods for single image dehazing, dark channel prior not only has better performance in situations of dense haze, but also do not rely much on significant variance on transmission and color information in the input image. Based on that, the dark channnel prior method, as a novel haze removing method, provides a simpler and more effective way for single image haze removal. Apart from that, an improvement of the original dark channel dehazing algorithm, mainly focus on removing the noise artefacts showed in the dehazed images, will be paid more attention. Through the comparison between the original and refined dark channel prior dehazing algorithm, we can see that by using the dynamic estimation algorithm on the value of t0, which is proposed in this paper, can significantly improve the dehazing performance and the dehazed image quality of the original dark channel prior dehazing algorithm.
	TO cite this article:Han Wang,Bo Yang. The Research and Improvement on Dark Channel Prior Image Dehazing Algorithm[OL].[18 October 2012] http://en.paper.edu.cn/en_releasepaper/content/4491711

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