Table of Content

15 August 2020 Volume 33 Issue 8

  

Design and Implementation of Automatic Face Detection and Statistics Software in Video Image

YANG Siyan,MIAO Kaibin,WANG Feng,MIAO Qiguang

Electronic Science and Technology. 2020, 33(8):  1-9.  doi:10.16180/j.cnki.issn1007-7820.2020.08.001

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Aiming at the problem of low detection accuracy and high computational complexity of deep learning models due to factors such as imaging angle, weather conditions, and occlusion in face detection in video, a face detection algorithm based on ellipse skin color model and AdaBoost was proposed. The algorithm selectd Haar-like features as weak classifiers, and used the face images in the cropped CAS_PEAL data set as the training set, and used the AdaBoost algorithm to combine multiple weak classifiers into a strong classifier. The cascaded structure constituted the final classifier model. In order to solve the problem of detecting non-face area as a human face, an ellipse skin color model was introduced, and the video frame was processed using the ellipse skin color model so that areas with similar skin color in the image enterd the subsequent face detection process to reduce the false detection rate. Experimental results showed that the algorithm could perform real-time face detection at an average detection speed of 26 ms (single face video) and an average of 34 ms (multi-face video), and achieved a detection accuracy of 87.2%, which had a large application promotion value.

Design and Implementation of a Fast Online Algorithm for Mutation Point Detection

ZOU Junchen,QI Jinpeng,LI Na,LIU Jialun,ZHU Houjie

Electronic Science and Technology. 2020, 33(8):  10-16.  doi:10.16180/j.cnki.issn1007-7820.2020.08.002

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The traditional TSTKS algorithm is an offline mutation point detection algorithm, which has low accuracy when there are multiple mutation points in the time series data. To solve this problem, TSTKS algorithm and sliding window theory were combined to propose an online detection method for fast time series data mutation points. The method used sliding window to divide the data into several sub-segments, and took TSTKS algorithm to detect the mutation point for each sub-segment according to the order of window, so as to realize the rapid multi-mutation points detection of time series data. The results showed that compared with the common algorithms, the proposed algorithm took less time, had lower relative error rate and higher hit rate in multiple mutation points detection

Garbage Image Edge Detection Based on Improved Canny Algorithm

JU Zhiyong,ZHANG Wenxin,ZHAI Chunyu

Electronic Science and Technology. 2020, 33(8):  16-20.  doi:10.16180/j.cnki.issn1007-7820.2020.08.003

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In order to improve the accuracy of garbage in the process of identification and classification, this paper proposed a method based on improved Canny algorithm for garbage image edge detection in the process of garbage image preprocessing. The method optimized the edge detection of garbage images from three aspects: traditional Canny algorithm filtering, gradient direction and threshold adaptive. For the poor performance of Gauss filter used by traditional Canny algorithm in limitation of removing gauss noise and loss of edge details, the improved gradient reciprocal weighting method was used to filter. For the problem that the Canny algorithm was easy to detect the false edge, the edge was refined by adding the direction gradient template in the process of calculating the gradient direction of the image. At the same time, the minimum error method was used to solve the limitation of manually setting the threshold, and the threshold could be adaptive. The experimental result showed that this method improved the denoising performance and obtained better edge detection effect, which provided technical support for the subsequent classification and classification of garbage images.

Dual Color Image Watermarking Algorithm Based on QDCT and HVS

JING Zhengjun,QI Gang

Electronic Science and Technology. 2020, 33(8):  21-27.  doi:10.16180/j.cnki.issn1007-7820.2020.08.004

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Aiming at the mutually restricted problem of information capacity, invisibility and robustness in watermarking, a dual color image watermarking algorithm based on QDCT and HVS was proposed. With this algorithm, a colored carrier image and a colored watermarking image were subject to QDCT. The embedding location and strength of watermarking information were decided based on the characteristics of HVS. Based on the generalized Arnold transform and redundant embedding strategy, the QDCT coefficient of the watermarking image was embedded into the real part and imaginary part of the QDCT coefficient of the carrier image. The experiment result showed with this algorithm, most of NC values of the watermark extracted under common attacks were higher than 0.95 and the watermark information possessed better invisibility and robustness for the colored watermark-embedded image when PSNR was 35 dB.

Non-contact Rail Profile Detection System Based on Laser Profiler

BAO Yajun,LIU Jin,YANG Haima,JIANG Shenghua,YUAN Baolong,YANG Ping

Electronic Science and Technology. 2020, 33(8):  28-33.  doi:10.16180/j.cnki.issn1007-7820.2020.08.005

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At present, the geometrical dimension measurement of the rail profile is mostly based on manual measurement. The high-precision profile detection system based on the laser profiler can improve work efficiency of manual measurement and reduce measurement errors. The median filtering method was used to preprocess the profile data collected by the laser profilometer, and the coordinate system was transformed by coordinate translation and coordinate rotation. Then, the appropriate feature point was selected by quadratic fitting to match the silhouette stitching. After field test, the repeated measurement error of the rail profile size was less than 0.1 mm, and the absolute measurement accuracy was up to 0.014 mm. These experimental value met the requirements of the national standard for the detection accuracy of the rail profile, indicating the proposed method could effectively improve the detection efficiency of the rail.

High-precision DOA Estimation of Underwater Targets Based on Acoustic Energy Flux Vector Counteraction

BAI Xingyu,OU Hongfei,JIANG Yu,REN Longping

Electronic Science and Technology. 2020, 33(8):  34-39.  doi:10.16180/j.cnki.issn1007-7820.2020.08.006

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Aiming at the problem that the anisotropic noise seriously interferes with the accuracy of underwater target DOA estimation, this paper proposed a high-precision DOA estimation method for underwater targets based on acoustic energy flux vector compensation. The method was based on the joint information processing technology of sound pressure and particle velocity, and the anisotropic noise source distribution model was obtained while effectively reducing the influence of isotropic noise. The anisotropic noise was vector compensated according to the anisotropic noise field acoustic energy flow model, which further suppressed the anisotropic noise and achieved the purpose of high-precision estimation. The numerical simulation results showed that below 20 dB the accuracy of the method was higher than that of DOA estimate of conventional complex intensity processor with the highest precision increased by 21%.

Research on Data Distribution Service of Distributed Real-time System

WANG Tianyi,GAO Bo

Electronic Science and Technology. 2020, 33(8):  40-45.  doi:10.16180/j.cnki.issn1007-7820.2020.08.007

Abstract ( 1439 )   HTML ( 48 )   PDF (895KB) ( 262 )  

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Data Distribution Service is the technical specification of communication middleware for distributed real-time system. With the increase of complexity and scale of distributed real-time system, the quality requirements of data transmission in the system are greatly increased. DDS adopts data-centric publish/subscribe mode, which meet the performance requirements and hard real-time requirements of various distributed applications. The article firstly analyzed and compared four common data distribution models and pointed out their respective advantages and disadvantages. Then, the DDS specification was elaborated in five aspects: communication mechanism, quality of service, transmission framework, discovery process and standard implementation. The challenges faced by DDS applications were reviewed from three aspects: the complexity of DDS configuration, DDS application in WAN and DDS application in wireless network, and the future research directions are discussed.

Research on Low Power and High Precision Temperature Multichannel Acquisition Technology

ZHOU Xuan,SHI Wei

Electronic Science and Technology. 2020, 33(8):  46-52.  doi:10.16180/j.cnki.issn1007-7820.2020.08.008

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A temperature measuring system, characterized by small size, high accuracy, low consumption, was designed in this paper. This measuring system can achieve wireless data transmission and temperature multi-channel acquisition in order to satisfy the measuring need in rotating objects, moving parts or objects installed the temperature distribution systems. The PT100 was used as temperature sensor, and the multi-channel analog switch ADG888 with high consistency and low on-resistance was used to achieve multi-channel measuring control. The correction function, correcting the data between resistance value and ADC conversion,was established via the specific software and the whole signal chain of PT100 was systematically calibrated so that the accurate resistance value of PT100 could be obtained. After comparing various nonlinear processing methods and analyzing their own error, the transfer function of PT100 was used to correct the nonlinear error in order to obtain high accuracy measured value. The temperature multi-channel acquisition system could reach the accuracy of 0.5 ℃ in the temperature range of 0~300 ℃.

Research on Improving the Efficiency of Parallel Charger Based on Constraint Optimizations

LU Huan

Electronic Science and Technology. 2020, 33(8):  53-58.  doi:10.16180/j.cnki.issn1007-7820.2020.08.009

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As electric vehicles has become a key denelopment direction in the automotive field, the field of electric vehicles has made considerable progress, including the progress of parallel charging technology.For the practical problems, experiments were designed, experimental platform was established to realize the charging process of input power from the grid to the electric vehicles, and experimental data was analyzed. After testing the characteristics of a single parallel charger, a charging model was extracted on this basis. Corresponding optimization algorithms were designed according to the model. The model was extended to the combination of multiple parallel chargers, and the constraints were added according to the actual situation, and the advantages of different optimization algorithms were integrated. The experimental data was verified by augmented Lagrange algorithm, sequential quadratic programming and hybrid algorithm. The analysis and verification showed that the hybrid algorithm which combined Lagrange and sequential quadratic programming methods could effectively distribute the current on the most efficient basis. Finally, the constraint algorithm used was evaluated with complexity, and the optimal algorithm was comprehensively evaluated.

Ant Colony Optimization for Dynamic Pheromone Update Strategy Based on Congestion Factor

ZHU Hongwei,ZHANG Hainan

Electronic Science and Technology. 2020, 33(8):  59-64.  doi:10.16180/j.cnki.issn1007-7820.2020.08.010

Abstract ( 459 )   HTML ( 6 )   PDF (1112KB) ( 36 )  

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Aiming at the problem that the ant colony algorithm is easy to fall into local optimum and the convergence speed is slow, this paper proposed an ant colony optimization based on CFACS. The idea of crowding degree in the Fish Swarm algorithm was introduced to expand the distribution range of ants in the population, which made the ants explored more solution space and improve the global search ability of the algorithm. The dynamic pheromone update strategy was adopted to adaptively adjust the pheromone concentration released by the current optimal path in each iteration to ensure the diversity of the ant colony in the early stage and to ensure the convergence of the algorithm in the later stage. The simulation experiments for solving the TSP problem showed that the improved algorithm could obtain the solution quality and the convergence speed of the solution were better than the traditional ant colony algorithm, which balanced the contradiction between population diversity and convergence speed.

Realization of Warm White Light and Energy Transfer of Y₃MgAl₃SiO₁₂:Dy³⁺,Eu³⁺ Phosphor

TONG Erbao,XU Mingxue,SONG Kaixin,GAO Huifang,ZHAO Pinghai,SHEN Shaohua,WU Jun,XU Junming

Electronic Science and Technology. 2020, 33(8):  65-69.  doi:10.16180/j.cnki.issn1007-7820.2020.08.011

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Dy ³⁺, Eu ³⁺ co-doped Y₃MgAl₃SiO₁₂ phosphors were prepared by high temperature solid state reaction method. The structure and spectral characteristics of the samples were characterized by XRD and fluorescence spectrometer. The crystal sites and spectral characteristics of Dy ³⁺/Eu ³⁺ in Y₃MgAl₃SiO₁₂ host along with energy transfer mechanism between both ions were investigated. Under the excitation of 367 nm near-ultraviolet light, the emission spectrum of Y₃MgAl₃SiO₁₂:Dy ³⁺, Eu ³⁺ con-tained the characteristic transition of 6F9/2 to 6H15/2 (487nm blue emission) and 6H13/2 (592 nm yellow emission) of Dy ³⁺ and the 5D0 7F2 and 5D0 7F4characteristic emission of Eu ³⁺ (616 nm and 710 nm red emission). There were energy transfers of quadrupole quadrupole interaction between Dy ³⁺ and Eu ³⁺ resulting from optical overlap between the PL of Dy ³⁺ and the PLE of t Eu ³⁺ in the range of 400~500 nm. Supposed that packaging the near-ultraviolet LED chip, the phosphor provided a strategy to realize single-substrate warm white LED illumination by adjusting the doping concentration ratio of Dy ³⁺ and Eu ³⁺.

Adaptive Image Dehazing Algorithm Based on Deep Convolutional Neural Network

HE Yihong,LI Yanfeng,HUANG Shukai,TAN Wanchuan

Electronic Science and Technology. 2020, 33(8):  70-73.  doi:10.16180/j.cnki.issn1007-7820.2020.08.012

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Due to the influence of air particles such as fog, haze, dust and so on, the image of outdoor photography was gray and white. However, the existing image de fogging algorithm had the problems of over dependence on prior information and inaccurate transmission calculation. In order to solve the above problems, an adaptive image defogging algorithm based on the depth convolution neural network was proposed in this paper. The algorithm realized the defogging of the foggy image based on the atmospheric scattering model. Three full convolution networks including shallow extraction, parallel extraction and deep fusion, were designed to realize the fusion of the shallow and deep features of the image, which greatly improved the accuracy of the transmittance image. The experimental results showed that the algorithm proposed in this paper had a good defogging effect on outdoor fog map, and the effect of defogging details was better.

Indoor Positioning Algorithm Based on WiFi-BP

ZHU Yifeng

Electronic Science and Technology. 2020, 33(8):  74-79.  doi:10.16180/j.cnki.issn1007-7820.2020.08.013

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Aiming at the problem that signal deviation caused by the device variability affects positioning accuracy, an indoor positioning algorithm combining BP neural network and weighted centroid positioning algorithm was proposed. In this paper, the RSSI data of different mobile phones were cleaned by outlier detection algorithm, and the cleaned data was used as the data source of BP neural network to train the model, thus obtaining a stable nonlinear BP model. On this basis, combined with the improved indoor positioning algorithm for indoor positioning. Experiment results showed the mean error, minimum error and maximum error of the proposed algorithm were 0.58 m, 0.24 m and 1.06 m, respectively, and the positioning accuracy was significantly higher than that of the existing similar algorithms.

Research on Information Security Equipment Deployment Guarantee Technology

JIN Xin,FENG Yi,YOU Xuexi,WANG Jiaxin

Electronic Science and Technology. 2020, 33(8):  80-86.  doi:10.16180/j.cnki.issn1007-7820.2020.08.014

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AAiming at the current situation that the deployment of a large number of information security devices still relies on manual deployment, this paper proposed an information security device deployment guarantee technology based on machine learning algorithms.On the basis of in-depth study of the existing information security equipment deployment guarantee scheme, all the attribute characteristics of the equipment allocation in the scheme were analyzed. The equipment deployment guarantee sample set was constructed according to the existing information security equipment deployment guarantee scheme and the extracted attribute features. The forest algorithm optimized the attribute features and the most reasonable attribute features were selected. Combined with the support vector machine algorithm, the allocation guarantee model was constructed. The experimental comparison showed that the accuracy of the model test set with the random forest algorithm increased by nearly 8%, and the model running time was reduced by 43%. In the process of solving the actual problem, the error rate of the original plan was 8.69%.