This paper puts forward the attendance system based on face recognition on the problems existing in the current coal preparation plant personnel attendance. Due to the special working environment of the coal preparation plant, this paper first preprocesses the image, including image filtering and image enhancement, to facilitate post-face recognition.
{"title":"Design of Time Attendance System in Coal Preparation Plant Based on Face Recognition","authors":"Xiucai Guo, Shasha Zhang","doi":"10.1109/IAEAC47372.2019.8997671","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997671","url":null,"abstract":"This paper puts forward the attendance system based on face recognition on the problems existing in the current coal preparation plant personnel attendance. Due to the special working environment of the coal preparation plant, this paper first preprocesses the image, including image filtering and image enhancement, to facilitate post-face recognition.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122234434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aiming at the problem of limited presentation ability and easy drift of results for a single feature, a joint fingerprint feature extraction algorithm based on the complexity and entropy of instantaneous parameter (C-E) is proposed. From the perspective of signal information integrity, this paper multi-extract the secondary features of instantaneous amplitude, frequency and phase, and obtain the box dimension, information dimension, information entropy, as well as the Hilbert envelope spectrum information entropy newly proposed in this paper. Finally, the features are fused into C-E features to identify the individual radiation source. Compared with single class features, the recognition rate of the joint features is greatly improved at little time cost. In simulation experiment, the accuracy increases by 15.2% and 19.7% than fractal dimension and entropy respectively. And features have good independence and noise resistance under different environments.
{"title":"Research on C-E Fingerprint Extraction of Emitter","authors":"Jiaying Yue, Liuyang Gao, Nae Zheng","doi":"10.1109/IAEAC47372.2019.8998027","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8998027","url":null,"abstract":"Aiming at the problem of limited presentation ability and easy drift of results for a single feature, a joint fingerprint feature extraction algorithm based on the complexity and entropy of instantaneous parameter (C-E) is proposed. From the perspective of signal information integrity, this paper multi-extract the secondary features of instantaneous amplitude, frequency and phase, and obtain the box dimension, information dimension, information entropy, as well as the Hilbert envelope spectrum information entropy newly proposed in this paper. Finally, the features are fused into C-E features to identify the individual radiation source. Compared with single class features, the recognition rate of the joint features is greatly improved at little time cost. In simulation experiment, the accuracy increases by 15.2% and 19.7% than fractal dimension and entropy respectively. And features have good independence and noise resistance under different environments.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"19 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116824489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To capture the real intention of users’ needs more accurately from the increasingly abundant Mongolian information and return the retrieval results that best meet their needs, a Mongolian information retrieval method based on Word2vec and LDA topic model is proposed in this paper. Combining Mongolian grammatical features, this method builds a model based on LDA three-tier Bayesian structure to mine the hidden topic distribution and feature word distribution of documents, expands user queries according to Word2vec model to obtain words similar to user query keywords semantically, and then uses topic model to model extended vocabulary. Finally, according to the user’s query topic, the similarity between the query topic and the document topic is calculated, and the document with high relevance to the query topic is returned. The experimental results show that the effective combination of Word2vec and LDA model achieves better results than the traditional model with initial query in the representation of latent semantics.
{"title":"Mongolian Information Retrieval Method Based on Word2vec and Topic Model","authors":"Siriguleng","doi":"10.1109/IAEAC47372.2019.8997588","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997588","url":null,"abstract":"To capture the real intention of users’ needs more accurately from the increasingly abundant Mongolian information and return the retrieval results that best meet their needs, a Mongolian information retrieval method based on Word2vec and LDA topic model is proposed in this paper. Combining Mongolian grammatical features, this method builds a model based on LDA three-tier Bayesian structure to mine the hidden topic distribution and feature word distribution of documents, expands user queries according to Word2vec model to obtain words similar to user query keywords semantically, and then uses topic model to model extended vocabulary. Finally, according to the user’s query topic, the similarity between the query topic and the document topic is calculated, and the document with high relevance to the query topic is returned. The experimental results show that the effective combination of Word2vec and LDA model achieves better results than the traditional model with initial query in the representation of latent semantics.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129714324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the development of wisdom forestry, wireless sensor networks play an increasingly important role. With its powerful ability of space-time information data management, spatial analysis and visualization, GIS technology will provide a scientific and visual geographic information support platform for the application of wireless sensor networks in forest environment. The paper makes use of solar radiation analysis, visibility analysis, and buffer analysis of GIS to help engineers scientifically selecting the sensing node location, and finally develops a 3D wireless sensor networks visualization system based on WebGIS. The system realizes the map display of the space-time information, which is beneficial to manage sensor nodes efficiently.
{"title":"Research and Application of GIS in Wisdom Forestry Wireless Sensor Networks Node Location Selection","authors":"Depeng Sun, Yafang Tan, Shuo Zhang","doi":"10.1109/IAEAC47372.2019.8998025","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8998025","url":null,"abstract":"With the development of wisdom forestry, wireless sensor networks play an increasingly important role. With its powerful ability of space-time information data management, spatial analysis and visualization, GIS technology will provide a scientific and visual geographic information support platform for the application of wireless sensor networks in forest environment. The paper makes use of solar radiation analysis, visibility analysis, and buffer analysis of GIS to help engineers scientifically selecting the sensing node location, and finally develops a 3D wireless sensor networks visualization system based on WebGIS. The system realizes the map display of the space-time information, which is beneficial to manage sensor nodes efficiently.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129831029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aiming at problem of denoising and enhancement in Synthetic Apertnre Radar (SAR) image, this paper proposes a fnsion of wavelet packet transform and fnzzy set algorithm for freqnency domain and fnzzy domain collaborative and joint processing to improve denoising and enhancement effect in SAR image. Firstly, wavelet packet transform was nsed to decompose SAR image in freqnency domain, and noise was removed by threshold qnantization. Then, the low freqnency part of SAR image was linearly transformed to enhance freqnency domain of SAR image. Finally, fnzzy set algorithm was nsed to enhance fnzzy domain of SAR image. In snmmary, this paper comprehensively proposes a SAR image denoising and enhancement algorithm combining wavelet packet and fnzzy set. The effectiveness and snperiority of proposed method are verified by experiments.
{"title":"Study on Denoising and Enhancement Method in SAR Image based on Wavelet Packet and Fuzzy Set","authors":"Zhenlin Wang, Ke Wang, Zengyuan Liu, Zhengbo Zeng","doi":"10.1109/IAEAC47372.2019.8997617","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997617","url":null,"abstract":"Aiming at problem of denoising and enhancement in Synthetic Apertnre Radar (SAR) image, this paper proposes a fnsion of wavelet packet transform and fnzzy set algorithm for freqnency domain and fnzzy domain collaborative and joint processing to improve denoising and enhancement effect in SAR image. Firstly, wavelet packet transform was nsed to decompose SAR image in freqnency domain, and noise was removed by threshold qnantization. Then, the low freqnency part of SAR image was linearly transformed to enhance freqnency domain of SAR image. Finally, fnzzy set algorithm was nsed to enhance fnzzy domain of SAR image. In snmmary, this paper comprehensively proposes a SAR image denoising and enhancement algorithm combining wavelet packet and fnzzy set. The effectiveness and snperiority of proposed method are verified by experiments.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128271012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Active magnetic bearing (AMB) rotor system is widely applied in the industry for its remarkable advantages. However, it is a typical open-loop unstable mechatronics system suffering from nonlinear and couple characteristic. In this paper, the feedforward decoupling method is used to deal with the couple relationship of different axes. And the model reference adaptive control (MRAC) method is applied to improve the control performance and robustness and overcome the uncertainties. This control method makes the system output reach to the reference model by the designed adaptive law. Simulation results illustrate the effectiveness of the proposed scheme.
{"title":"A Model Reference Adaptive Controller With Feedforward Decoupling for Active Magnetic Bearing Rotor System","authors":"J. Yi, Gui-Ping Ren, Hai-Tao Zhang, Yue Wu","doi":"10.1109/IAEAC47372.2019.8998078","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8998078","url":null,"abstract":"Active magnetic bearing (AMB) rotor system is widely applied in the industry for its remarkable advantages. However, it is a typical open-loop unstable mechatronics system suffering from nonlinear and couple characteristic. In this paper, the feedforward decoupling method is used to deal with the couple relationship of different axes. And the model reference adaptive control (MRAC) method is applied to improve the control performance and robustness and overcome the uncertainties. This control method makes the system output reach to the reference model by the designed adaptive law. Simulation results illustrate the effectiveness of the proposed scheme.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128663343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents a 7.0 GHz to 8.0 GHz medium power amplifier (PA) using a 0.15-μm GaAs pHEMT process. To achieve the wideband high gain and high efficiency, the proposed PA applies a two-stage topology and two series LC output matching network targeting the optimum efficiency impedances over the desired bandwidth. To implement the finite element analysis for this design, a manual modeling method is proposed to generate the 3-D model of the PA in ANSYS WORKBENCH. Measurement results show that the PA achieves a small-signal gain of 26-27 dB, a saturated output power of about 25 dBm with PAE of 47% from 7.0 GHz to 8.0 GHz.
{"title":"A 7.0–8.0 GHz High Efficiency Medium Power Amplifier Design and 3-D Modeling for FEA","authors":"Q. Lin, Si-wei Chen, Haifeng Wu, Dan-hui Hu, Liu-lin Hu, Xiao-Ming Zhang","doi":"10.1109/IAEAC47372.2019.8997641","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997641","url":null,"abstract":"This paper presents a 7.0 GHz to 8.0 GHz medium power amplifier (PA) using a 0.15-μm GaAs pHEMT process. To achieve the wideband high gain and high efficiency, the proposed PA applies a two-stage topology and two series LC output matching network targeting the optimum efficiency impedances over the desired bandwidth. To implement the finite element analysis for this design, a manual modeling method is proposed to generate the 3-D model of the PA in ANSYS WORKBENCH. Measurement results show that the PA achieves a small-signal gain of 26-27 dB, a saturated output power of about 25 dBm with PAE of 47% from 7.0 GHz to 8.0 GHz.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130500478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Overhauser proton magnetometer is a scalar quantum device for total magnetic field measurement based on the dynamic nuclear polarization (DNP) effect. The earth generates a weak and uniform magnetic field about 18 μT to 60 μT. The magnetic anomaly in the survey area will generate a gradient magnetic field which decreases the accuracy of the magnetometer. The gradient tolerance is the maximum magnetic field gradient that the magnetometer can tolerate. A gradient coil consisting of two circular coils connected in reverse has been constructed to estimate gradient tolerance value of Overhauser magnetometer. The distance between the two circular coils is set as $sqrt 3 $ R, where R is the radius of the circular. Calculated results indicate that the uniformity of the gradient can reach 99% in the range of 5×5×11 cm when the radius of the circular R is set as 0.3 m. Proton precession signal and sensitivity of Overhauser magnetometer under gradient field from 0 nT/m to 12000 nT/m are investigated. Beat phenomenon is observed under high gradient field. The experimental results show that under the background field strength of about 54500 nT, the fluctuation of the measurement results increases with the increase of the gradient.
{"title":"Gradient Tolerance Estimation of Overhauser Magnetometer","authors":"Wenqiang Shi, Shuang Zhang, Jianchang Zhao, Shudong Chen, Xin Guo","doi":"10.1109/IAEAC47372.2019.8997914","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997914","url":null,"abstract":"Overhauser proton magnetometer is a scalar quantum device for total magnetic field measurement based on the dynamic nuclear polarization (DNP) effect. The earth generates a weak and uniform magnetic field about 18 μT to 60 μT. The magnetic anomaly in the survey area will generate a gradient magnetic field which decreases the accuracy of the magnetometer. The gradient tolerance is the maximum magnetic field gradient that the magnetometer can tolerate. A gradient coil consisting of two circular coils connected in reverse has been constructed to estimate gradient tolerance value of Overhauser magnetometer. The distance between the two circular coils is set as $sqrt 3 $ R, where R is the radius of the circular. Calculated results indicate that the uniformity of the gradient can reach 99% in the range of 5×5×11 cm when the radius of the circular R is set as 0.3 m. Proton precession signal and sensitivity of Overhauser magnetometer under gradient field from 0 nT/m to 12000 nT/m are investigated. Beat phenomenon is observed under high gradient field. The experimental results show that under the background field strength of about 54500 nT, the fluctuation of the measurement results increases with the increase of the gradient.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"1 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120898214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The performance of the distributed power flow controller with traditional linear controller may be deteriorated due to a large-range change of the operating condition. Thus, a new nonlinear power flow control strategy for the distributed power flow controller based on exact linearization via feedback was presented. The 5th-order nonlinear models for the distributed power flow controller both in the shunt side and the series side were fully linearized via selection of the Lyapunov-like output function, the appropriate nonlinear coordinate transformation and the state variable feedback. Then the corresponding nonlinear optimal controller for the distributed power flow controller is designed. The simulation results based on PSCAD/EMTDC simulation platform show that the proposed power flow control strategy for the distributed power flow controller is correct and effective, and also show that the proposed control strategy for the distributed power flow controller has better control effect than the traditional linear control strategy for the distributed power flow controller.
{"title":"Nonlinear Optimal Control for Distributed Power Flow Controller","authors":"Hui Yan, A. Tang, Jing Yuan, Hongdan Lei, Xu Zheng, Shuting Zhao","doi":"10.1109/IAEAC47372.2019.8997709","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997709","url":null,"abstract":"The performance of the distributed power flow controller with traditional linear controller may be deteriorated due to a large-range change of the operating condition. Thus, a new nonlinear power flow control strategy for the distributed power flow controller based on exact linearization via feedback was presented. The 5th-order nonlinear models for the distributed power flow controller both in the shunt side and the series side were fully linearized via selection of the Lyapunov-like output function, the appropriate nonlinear coordinate transformation and the state variable feedback. Then the corresponding nonlinear optimal controller for the distributed power flow controller is designed. The simulation results based on PSCAD/EMTDC simulation platform show that the proposed power flow control strategy for the distributed power flow controller is correct and effective, and also show that the proposed control strategy for the distributed power flow controller has better control effect than the traditional linear control strategy for the distributed power flow controller.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120898337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, intelligent agriculture based on information has become a hot topic in research. While information collection has been widely used in agriculture, crop image collection, in particular, is the basis and premise of smart agriculture. However, the traditional image acquisition systems mainly depend on a fixed camera or a mobile robot, and it is known that these methods have shortcomings, such as poor flexibility and consignation. This paper presents a remote configurable crop image acquisition architecture based on cloud computing and wireless network for increasing the flexibility and adaptation of the mobile robot. Firstly, the data acquisition framework based on cloud computing for the mobile robot was constructed. Then, the robot control system and hardware platform were designed. Finally, experiments were constructed, and the results demonstrated that the feasibility of this method is verified.
{"title":"Remote Configurable Image Acquisition Lifting Robot for Smart Agriculture","authors":"Xiao-kang Xu, Xiaomin Li, Rihong Zhang","doi":"10.1109/IAEAC47372.2019.8997721","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997721","url":null,"abstract":"In recent years, intelligent agriculture based on information has become a hot topic in research. While information collection has been widely used in agriculture, crop image collection, in particular, is the basis and premise of smart agriculture. However, the traditional image acquisition systems mainly depend on a fixed camera or a mobile robot, and it is known that these methods have shortcomings, such as poor flexibility and consignation. This paper presents a remote configurable crop image acquisition architecture based on cloud computing and wireless network for increasing the flexibility and adaptation of the mobile robot. Firstly, the data acquisition framework based on cloud computing for the mobile robot was constructed. Then, the robot control system and hardware platform were designed. Finally, experiments were constructed, and the results demonstrated that the feasibility of this method is verified.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114070598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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