Ran Zhang, Xi Feng, Wennan Feng, Y. Hu, Xiaoke Tang
{"title":"Design for RTDB Memory Structure of DCS","authors":"Ran Zhang, Xi Feng, Wennan Feng, Y. Hu, Xiaoke Tang","doi":"10.1109/IAEAC47372.2019.8997614","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997614","url":null,"abstract":"Real-time database (RTDB) is an important part of the distributed control system (DCS), which is equivalent to a data processing center and functions as a data exchange area. The RTDB kernel carries the main features of the RTDB, supports task timing constraints, maintains a large amount of shared data, and ensures the integrity, consistency and real-time performance of the data. It also provides data access services for historical databases and human-computer interaction client programs, and is a bridge for data interaction between controllers and clients. The data in the real-time library is stored in memory. Therefore, the design of the RTDB memory structure directly affects the quality of the entire DCS system.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"27 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":"114349687","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}
{"title":"PS-InSAR Analysis of Collapsed Dam and Extraction of Flood Inundation Areas in Laos Using Sentinel-1 SAR Images","authors":"Shibo Cheng, Wenhui Zhao, Zhiping Yin","doi":"10.1109/IAEAC47372.2019.8997848","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997848","url":null,"abstract":"Interferometric Synthetic Aperture Radar (InSAR) technique can potentially measure millimetre-scale changes in deformation by two or more SAR images. In this paper, thirty Sentinel-1 SAR images were processed with Persistent Scatterer InSAR (PS-InSAR) method over the collapsed dam in Laos to measure its deformation in the last year before the collapse. Then the deformation map of the dam is achieved. The map show that unusual subsidence occurred in the final two months prior to the collapse. Several feature points distributed near the collapse of the dam were analyzed. The maximum accumulated subsidence exceeded -20 mm in the last year. Our results indicate that PS-InSAR technology for deformation monitoring of dams can be used as an early warning method to prevent other similar accidents. Furthermore, we extracted the flood inundation map from two Sentinel-1 images. It can play a role in post-disaster relief work.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"38 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":"114350079","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}
{"title":"IAEAC 2019 Table of Contents","authors":"","doi":"10.1109/iaeac47372.2019.8997716","DOIUrl":"https://doi.org/10.1109/iaeac47372.2019.8997716","url":null,"abstract":"","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"71 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":"114714702","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}
Zhang Chenxi, Miao Zhonghua, He Changxin, Bai Yucen
{"title":"Remote Monitoring System of four-wheel Drive Robot based on Web and Cloud Platform","authors":"Zhang Chenxi, Miao Zhonghua, He Changxin, Bai Yucen","doi":"10.1109/IAEAC47372.2019.8997696","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997696","url":null,"abstract":"Aiming at the shortcomings of existing four-wheeled robot remote monitoring system, such as poor mobility, complex operation and high consumption, a monitoring system based on web and cloud platform is developed. The system is mainly composed of the perception layer responsible for data acquisition, the transmission layer responsible for data transmission, and the application layer responsible for remote monitoring by users. Among them, the sensor and CPU are used to collect the job information of the robot, and then the collected data is sent to the Cloud Server by MQTT protocol through the MQTT module. The data is rendered from the Cloud Server to the page using TCP/IP protocol and AXJX. The experimental results show that the system has good stability, good real-time performance and ideal monitoring effect. It effectively solves the problems of real-time on-site monitoring and remote monitoring of robot operation information.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"3 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":"124484101","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}
{"title":"Cylindrical conformal broadband array antenna based on defective ground structure","authors":"Yuhe Liu, Ting Wang, Peilin Zhong, Sijie Wang","doi":"10.1109/IAEAC47372.2019.8997548","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997548","url":null,"abstract":"The existing cylindrical conformal ultra-wideband antennas are mostly unit antennas, although the working bandwidth is wider, the gain is low. When the array antenna is conformal on the surface of the cylinder, the working bandwidth is narrowed because of the deformation of the array antenna. To solve this problem, a cylindrical conformal array antenna based on rectangular defective ground structure(DGS) is proposed in this paper. The antenna is designed as a cylindrical conformal wideband array antenna with a center frequency of 10 GHz, which broadens the bandwidth by loading rectangular defective ground structures on the backplane. The simulation results show that the bandwidth of the cylindrical conformal array antenna increases from 0.2GHz to 1.6GHz after loading the rectangular defective ground structure, and the gain of the antenna increases from 12.3dB to 14.1dB. The operating frequency bandwidth of the conformal array antenna is effectively increased without adding the thickness of the dielectric layer, which is more advantageous for miniaturization and integration of the array antenna.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"25 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":"126496829","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}
Chen Guo-zhi, Le Yanjie, Yue Junpeng, Lv Anqiang, Lu Zhengtong, Xu Jianliang
{"title":"Stress Analysis of Submarine Cable Tension and Torsion Test Device Based on Finite Element Method","authors":"Chen Guo-zhi, Le Yanjie, Yue Junpeng, Lv Anqiang, Lu Zhengtong, Xu Jianliang","doi":"10.1109/IAEAC47372.2019.8997780","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997780","url":null,"abstract":"In order to ensure that the tension and torsion test system can complete the normal test of submarine cable torsion, it is very important to analyze the maximum torque that the system can withstand. In this paper, the finite element simulation software ANSYS is used to model the submarine cable tension and torsion test system. The torque of 1kNm, 5kNm and 10kNm is applied to the model and solved. The main force position of the torsion device was evaluated by analyzing the changes of displacement, stress and strain after the model was twisted. The results show that after applying the maximum allowable torque of 10kNm to the submarine cable tension and torsion test system, the system is not damaged, and the displacement, stress and strain changes are consistent with the actual situation, and the work of torsion testing of the submarine cable can be completed. This paper provides a method and data reference for the evaluation of the operating parameters of the submarine cable tension and torsion experimental system.","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":"128050504","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}
{"title":"Research and Optimization of Wireless Mesh Network Routing Protocol with Multiple Criterions","authors":"Jinfeng Lin, Zuoxue Liu, Jianmei Dai","doi":"10.1109/IAEAC47372.2019.8997932","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997932","url":null,"abstract":"Batman-adv (Better Approach to Mobile Ad-hoc Networking Advanced) routing protocol is a rapidly developing wireless Mesh network routing protocol in recent years. Due to its good portability, open source code, high dynamic organization and high security, More suitable for use in disaster relief, plateau shooting range and other places. When the routing criteria of the protocol are deeply studied, it is found that the protocol has a single criterion and is prone to instability when sending large-capacity data, causing frequent switching of routes, which in turn leads to packet loss. Aiming at this problem, the signal strength is introduced and the routing criteria are redesigned. The experimental results show that the new routing criteria can improve the stability of the routing protocol.","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":"128098275","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}
{"title":"Ship target detection algorithm based on improved deep learning","authors":"Haixia Fan, Liankai Chen","doi":"10.1109/IAEAC47372.2019.8997993","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997993","url":null,"abstract":"Faster R-CNN algorithm is a deep learning network model based on regional suggestion network, which is applied to the field of target detection and recognition. Extracting a small number of pixels in the original image and generating a downscaled image can improve the detection efficiency of Faster R-CNN. Scene semantic narrowing is be directed at specific types of regions and geographical locations in the image. By performing targeted analysis on these regions, it can be interpreted more carefully, and the image is better applied to Faster R-CNN. The deep convolutional network with the narrowing function of the theme is studied. The main factors that affect the understanding of image content accumulated by human visual cognitive experience and computer vision research are summarized into various themes, and the appropriate theme is selected as a narrow sub-network according to the task. Realize the optimization of the Faster R-CNN algorithm by implementing a collaborative deep network with clear functions in the overall black box and subnet. The experimental results show that the proposed method can significantly shorten the detection time of the algorithm while improving the detection accuracy of Faster R-CNN algorithm.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"8 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":"121838087","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}
{"title":"Research on Sparse Code Shrinkage denoise in Underwater 3D Laser Scanning Images","authors":"Junjie Liu","doi":"10.1109/IAEAC47372.2019.8997866","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997866","url":null,"abstract":"Noise removal is the pre-stage and essential step for many image processing tasks. Sometimes it is hard to have correct exposure for camera in underwater environment. In general, we need to have long exposure time to collect the weak light signal which increase the background electrical noise and higher than the signal. Underwater laser scanning is such special case with white laser stripe and dark background images. Hence, noise including which dots, lumps have heavy impact to our laser image. This paper discuss underwater laser scanning image denoise and presents the method based on Sparse code shrinkage algorithm to reduce such noise effect in final reconstructed 3D model. The comparative study using natural and real 3D underwater scanning images is presented on the experimental section.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"24 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":"121622153","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}
{"title":"A Noval Mirror Training Strategy Based On Kinematics","authors":"Yingchao Huang","doi":"10.1109/IAEAC47372.2019.8997759","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997759","url":null,"abstract":"Aiming at the problem of limb motor dysfunction in stroke patients after operation, a noval mirror training strategy based on kinematics is proposed in this paper. Firstly, the pose of the end effector based on the common coordinate system is obtained by establishing forward kinematic modeling of dual-arm upper limb rehabilitation robot; Secondly, the pose of the end effector of patient’s impaired limb in the common coordinate system is calculated by the mirror relationship of the bilateral limbs, and the joint angles is obtained according to the inverse kinematics, which realizing the function of the mirror training. Finally, the experiment is designed and the tester’s training data is collected and a series of evaluation indicators are obtained to reflect the training effect in different traininig stages. The results show that this strategy has a certain effect on improving the motor function of the impaired limb. In the future, the factors affecting the strategy will be further optimized to improve the rehabilitation effect.","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":"130270999","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}