2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE)最新文献

A Model Based Safety Analysis Framework for SysML and A Case Study 基于模型的SysML安全分析框架及实例研究

2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE) Pub Date : 2019-10-01 DOI: 10.1109/EITCE47263.2019.9094927

Jun Hu, Hongying Tang, Jiexiang Kang, Hongya Wang

引用次数: 1

Suppressed MT static effect by two wavelet threshold criteria 用两个小波阈值准则抑制MT静态效应

2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE) Pub Date : 2019-10-01 DOI: 10.1109/EITCE47263.2019.9094860

Yurong Gong, Yunqiu Yang, Yulong Gong

引用次数: 0

Intrusion Detection Method of Industrial Control System Based on RIPCA-OCSVM 基于RIPCA-OCSVM的工业控制系统入侵检测方法

2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE) Pub Date : 2019-10-01 DOI: 10.1109/EITCE47263.2019.9095099

Weiming Tong, Bingbing Liu, Zhongwei Li, Xianji Jin

引用次数: 1

Space Target Association Based on Epipolar Geometry Constraints under Multi-Star Sensors 基于极极几何约束的多星敏感器空间目标关联

2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE) Pub Date : 2019-10-01 DOI: 10.1109/EITCE47263.2019.9094972

Qiushi Huang, Yasheng Zhang

引用次数: 0

An Image Encryption Schema Based on Hybrid Optimized Chaotic System 一种基于混合优化混沌系统的图像加密方案

2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE) Pub Date : 2019-10-01 DOI: 10.1109/EITCE47263.2019.9095007

Honghe Xu, H. Jiang

引用次数: 2

A Feedforward Control Strategy aiming at Withdrawal Disturbance of Load Side Resources 一种针对负荷侧资源退出扰动的前馈控制策略

2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE) Pub Date : 2019-10-01 DOI: 10.1109/EITCE47263.2019.9094900

Ziling Zou, Zhetong Ding, Ying Wang, Kun Yuan, Kaifeng Zhang, Xin Shan

{"title":"A Feedforward Control Strategy aiming at Withdrawal Disturbance of Load Side Resources","authors":"Ziling Zou, Zhetong Ding, Ying Wang, Kun Yuan, Kaifeng Zhang, Xin Shan","doi":"10.1109/EITCE47263.2019.9094900","DOIUrl":"https://doi.org/10.1109/EITCE47263.2019.9094900","url":null,"abstract":"In recent years, load side resources have been gradually applied to the frequency control of power systems. However, the characteristics of the load side resources are quite different from the generation side resources, especially the load side resources must secede the frequency control to ensure sufficient user tolerance. This characteristic causes withdrawal disturbance to the power systems, which does harm to the recovery of system frequency. In this paper, a feedforward control strategy is designed to reduce the negative impact of withdrawal disturbance of load side resources on the power systems, so as to improve the performance of the frequency recovery process. By informing the generator in advance about the withdrawal disturbance of load side resources, this method ensures that there are enough generation side resources to compensate when the load resources are withdrawn. The feedforward control strategy is simulated on the standard 10- machine 39-node system, and the experimental results show that the feedforward control can effectively reduce the impact of withdrawal disturbance by load side resources.","PeriodicalId":296709,"journal":{"name":"2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122677197","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}

引用次数: 0

A parallel iteration algorithm for greedy selection based IDW mesh deformation in OpenFOAM OpenFOAM中基于贪婪选择的IDW网格变形并行迭代算法

2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE) Pub Date : 2019-10-01 DOI: 10.1109/EITCE47263.2019.9094931

Ran Zhao, Chao Li, Xiao-Wei Guo, Sijiang Fan, Yi Wang, Yi Liu, Canqun Yang

{"title":"A parallel iteration algorithm for greedy selection based IDW mesh deformation in OpenFOAM","authors":"Ran Zhao, Chao Li, Xiao-Wei Guo, Sijiang Fan, Yi Wang, Yi Liu, Canqun Yang","doi":"10.1109/EITCE47263.2019.9094931","DOIUrl":"https://doi.org/10.1109/EITCE47263.2019.9094931","url":null,"abstract":"Inverse Distance Weighting (IDW) interpolation based mesh deformation is an explicit technique adopted by large-scale mesh computation for Computational Fluid Dynamic (CFD). To obtain the optimum interpolating points set, greedy algorithm is utilized widely in the interpolation process. However, greedy algorithm will bring additional time cost because of its recycling point selection. This paper proposes a parallel iteration algorithm for greedy selection based IDW mesh deformation in OpenFOAM (a widely used software of CFD).The iteration method is proposed based on that some computing values are recycling in greedy loop and it make the computational complexity reduce from O(n3) to O(n2). The parallel algorithm is based on the re-decompositon method which can greatly keep the load balancing. The experiments are operated on a three-dimensional undulating fish model with 3.7 × 105 mesh cells. Results show that our parallel iteration method could obtain a more than 18.2 times performance increase, compared with the conventional greedy algorithm applied in IDW interpolation.","PeriodicalId":296709,"journal":{"name":"2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122608809","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}

引用次数: 2

A Anti-collision Algorithm Based On Checking Group And Collision Tree 一种基于校验组和碰撞树的抗碰撞算法

2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE) Pub Date : 2019-10-01 DOI: 10.1109/EITCE47263.2019.9094846

Pengfei Xu, X. Lei, Puzhou Tan

引用次数: 0

The mean-variance-skewness cardinality constrained portfolio optimization problem using a customized multi-objective evolutionary algorithm 基于自定义多目标进化算法的均值-方差-偏度基数约束投资组合优化问题

2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE) Pub Date : 2019-10-01 DOI: 10.1109/EITCE47263.2019.9094951

Lan Li, Wenlan Huang, Yu Zhang

引用次数: 0

YOLOv3-darknet with Adaptive Clustering Anchor Box for Garbage Detection in Intelligent Sanitation 基于自适应聚类锚盒的yolov3暗网智能卫生垃圾检测

2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE) Pub Date : 2019-10-01 DOI: 10.1109/EITCE47263.2019.9095167

Wei Cui, Wei Zhang, Juli Green, Xu Zhang, Xiang Yao

{"title":"YOLOv3-darknet with Adaptive Clustering Anchor Box for Garbage Detection in Intelligent Sanitation","authors":"Wei Cui, Wei Zhang, Juli Green, Xu Zhang, Xiang Yao","doi":"10.1109/EITCE47263.2019.9095167","DOIUrl":"https://doi.org/10.1109/EITCE47263.2019.9095167","url":null,"abstract":"In recent years, as people’s requirements for living environment are getting higher and higher, many countries have written environmental protection into relevant laws. How to find and clean up garbage in a timely manner is particularly important. Manually searching garbage is not only time consuming, but also requires a lot of manpower. Deep learning has achieved good results in the fields of object detection and semantic segmentation with a good ability to identify these uncertain features just like garbage. In this paper, we capture the garbage image on the road in real time by sanitation vehicle. The YOLOv3-darknet model which is based on adaptive clustering anchor box are used for garbage detection. Multi-category confrontation training is performed on objects that are frequently misdetected. Combined with other auxiliary ranging devices, the latitude and longitude information of the garbage is determined, so that the garbage can be cleaned with a target. Experiments show that our model has achieved good results in garbage detection. The detection time of a single image on the GTX1080ti is 60ms.","PeriodicalId":296709,"journal":{"name":"2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117029423","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}

引用次数: 4