2022 IEEE 2nd International Conference on Computer Systems (ICCS)最新文献_第2页

Analysis of Local Rainfall Prediction Based on Intelligent Algorithm 基于智能算法的局地降雨预报分析

2022 IEEE 2nd International Conference on Computer Systems (ICCS) Pub Date : 2022-09-23 DOI: 10.1109/ICCS56273.2022.9987970

Sheng-bin Wu, Ying-di Yang, Qili Wu, Beibei Mao, Zhimin Liu, Hao Yu, Mei Long, Shao-Ting Ge

引用次数: 0

Development of Language Feature Analysis System for Mineral Engineering English Corpus Based on Web 基于Web的矿产工程英语语料库语言特征分析系统开发

2022 IEEE 2nd International Conference on Computer Systems (ICCS) Pub Date : 2022-09-23 DOI: 10.1109/ICCS56273.2022.9988369

Aiqing Wang

引用次数: 0

Method of Obtaining OD Matrix for Bus Passenger Flow Based on Pedestrian Re-identification Algorithm 基于行人再识别算法的公交客流OD矩阵获取方法

2022 IEEE 2nd International Conference on Computer Systems (ICCS) Pub Date : 2022-09-23 DOI: 10.1109/ICCS56273.2022.9987938

Xiaolei Liu, Li Guo, Weizhong Zhang, Wenshan Wang

{"title":"Method of Obtaining OD Matrix for Bus Passenger Flow Based on Pedestrian Re-identification Algorithm","authors":"Xiaolei Liu, Li Guo, Weizhong Zhang, Wenshan Wang","doi":"10.1109/ICCS56273.2022.9987938","DOIUrl":"https://doi.org/10.1109/ICCS56273.2022.9987938","url":null,"abstract":"In public transport, the OD (origin-destination) matrix of each passenger's starting and ending points is of great importance for bus scheduling and network optimization. The difficulty is matching passengers getting off at the back door with those getting on at the front door in real-time. The leading technology used here is re-identification. The current re-identification method is mainly used in the security field of pedestrian re-identification, vehicle filling discrimination, and although the accuracy is high, the real-time performance is poor. In this paper, the classical method FastReID is improved by changing its attention module using GCNet to improve accuracy and by adding a fully connected layer to the BNNeck structure to classify other essential attributes of pedestrians while calculating the distance between the same passenger attributes; in the loss function, constraints are applied according to the distance between this attributes to reduce the intra-class distance. Finally, passenger features are stored in categories by attributes to improve the final retrieval efficiency. Experiments show that the method in this paper improves accuracy by 3.2 % and detection speed by 14.73% (69.58ms) per 100 retrievals compared to FastReID.","PeriodicalId":382726,"journal":{"name":"2022 IEEE 2nd International Conference on Computer Systems (ICCS)","volume":"32 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131806041","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

Subway Water Leakage Detection Based on Improved deeplabV3+ 基于改进deeplabV3+的地铁漏水检测

2022 IEEE 2nd International Conference on Computer Systems (ICCS) Pub Date : 2022-09-23 DOI: 10.1109/ICCS56273.2022.9988699

Mengjiao Li, Hao Wang, Shumei Zhang, Pengxiang Gao

引用次数: 2

SLIC Research and Implementation of a Parallel Optimization Algorithm SLIC并行优化算法的研究与实现

2022 IEEE 2nd International Conference on Computer Systems (ICCS) Pub Date : 2022-09-23 DOI: 10.1109/ICCS56273.2022.9988402

Shang Xiaomin, Li Qiang, Qi Yongmeng, Tao Shunan

引用次数: 0

Detection of Turn-to-Turn Short Circuit Fault of Permanent Magnet Synchronous Motor Based on Wavelet Packet Transform and KNN 基于小波包变换和KNN的永磁同步电机匝间短路故障检测

2022 IEEE 2nd International Conference on Computer Systems (ICCS) Pub Date : 2022-09-23 DOI: 10.1109/ICCS56273.2022.9987826

Huan Shuaiwei, L. Jinhua, Zhao Junli, Zhang Yujie, Wang Qi

引用次数: 0

A Lightweight and Secure Data Sharing Scheme for Mobile Device in Cloud Computing 一种轻量级、安全的云计算移动设备数据共享方案

2022 IEEE 2nd International Conference on Computer Systems (ICCS) Pub Date : 2022-09-23 DOI: 10.1109/ICCS56273.2022.9987876

X. Wang, Xiuqing Lu, Quanli Lu, Ning Wei

引用次数: 0

Insulator Pollution Grade Recognition Method and Platform 绝缘子污染等级识别方法与平台

2022 IEEE 2nd International Conference on Computer Systems (ICCS) Pub Date : 2022-09-23 DOI: 10.1109/ICCS56273.2022.9987914

Qingdan Huang, Hongbing Wang, Jing Liu, Huihong Huang, Kaiqing Wei

{"title":"Insulator Pollution Grade Recognition Method and Platform","authors":"Qingdan Huang, Hongbing Wang, Jing Liu, Huihong Huang, Kaiqing Wei","doi":"10.1109/ICCS56273.2022.9987914","DOIUrl":"https://doi.org/10.1109/ICCS56273.2022.9987914","url":null,"abstract":"Insulators play an important role in the power grids. However, when they get polluted, the flashover phenomenon may take place, which will bring huge losses to the power grid companies. The flashover phenomenon is closely related to the pollution levels of insulators, which need being measured to guide the maintenance work of insulators. If there is a convenient and accurate method to detect the pollution levels of insulators, the work to prevent the flashover phenomenon will be more efficient. To this end, an automatic insulator pollution grade recognition method based on hyperspectral imaging technology and SVM (Support Vector Machine) is proposed. What's more, this paper implements a matching automatic recognition platform with friendly human-computer interaction interface by PLC (Programmable Logic Controller) and Qt. The procedures of the automatic recognition method, the hardware composition and the software work flow of the automatic recognition platform are presented successively. At last, the final integrated recognition platform and the accuracy of the recognition method are exhibited to show their effectiveness.","PeriodicalId":382726,"journal":{"name":"2022 IEEE 2nd International Conference on Computer Systems (ICCS)","volume":"249 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114552093","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 Covert Communication Method Combining Secret Sharing and Steganography 一种结合秘密共享和隐写术的秘密通信方法

2022 IEEE 2nd International Conference on Computer Systems (ICCS) Pub Date : 2022-09-23 DOI: 10.1109/ICCS56273.2022.9988316

Peizheng Yan, Kaixi Wang, Xiaozhu Jia

{"title":"A Covert Communication Method Combining Secret Sharing and Steganography","authors":"Peizheng Yan, Kaixi Wang, Xiaozhu Jia","doi":"10.1109/ICCS56273.2022.9988316","DOIUrl":"https://doi.org/10.1109/ICCS56273.2022.9988316","url":null,"abstract":"In the distributed environment, when all parties carry out the cooperative computing, there are problems of low scalability and privacy leakage. To solve the above problems, this paper proposes a scheme that integrates the secret sharing and distributed steganography. Arnold transform is performed to encrypt the secret before the communication, and this transform can effectively improve the robustness of secret transmission. After a secret is embedded in a cover, the scheme uses random numbers to generate multiple sub-stego-objects, then carries out the distributed storage and communication for these sub-stego-objects. The identity of the sender is verified by the receiver using Schnorr zero-knowledge proof at the local, which reduced interaction between the sender and the receiver, and no more information is not obtained by the receiver except the stego-object. As a result, the receiver does not communicate directly with the sender, which, to some extent, can avoid the attention of the steganography from external attackers. Additionally, this scheme can still work even in the case that some users were disconnected from the system after a stego-object is transmitted. After analyzing how the scheme supports more senders, the correctness of the scheme is also proved in detail.","PeriodicalId":382726,"journal":{"name":"2022 IEEE 2nd International Conference on Computer Systems (ICCS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132748453","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

Mathematical Image Analysis of Light Fused with Computer Fuzzy Algorithm 融合计算机模糊算法的光图像数学分析

2022 IEEE 2nd International Conference on Computer Systems (ICCS) Pub Date : 2022-09-23 DOI: 10.1109/ICCS56273.2022.9987735

Jia-Ci Tang

{"title":"Mathematical Image Analysis of Light Fused with Computer Fuzzy Algorithm","authors":"Jia-Ci Tang","doi":"10.1109/ICCS56273.2022.9987735","DOIUrl":"https://doi.org/10.1109/ICCS56273.2022.9987735","url":null,"abstract":"The fuzzy mathematics theory was born in 1965, and it takes uncertain things as the research object. In recent years, the research on fuzzy mathematics theory has been deepened again and again. Therefore, the theoretical research of fuzzy mathematics is widely used in aerospace, petrochemical, nuclear power and many other industries. At the same time, under the impetus of advanced computer science and technology, fuzzy mathematics theory is the most important in the field of computer application. Digital image processing technology is to use the computer's recognition and operation functions to carry out image processing, and fuzzy mathematical theory is also used in the process of image processing. In order to improve the accuracy and precision of image processing, it is a problem to be solved urgently to enhance digital images by using fuzzy operations. Under this background, this paper uses the quadratic element function to process the data, and realizes the mathematical analysis of the image under the complex background. However, conventional digital images cannot be used effectively for mathematical computer modeling. In the application process of optical recognition technology, how to balance the visible light image under various constraints is the key issue of applying computer fuzzy method to light analysis. For images with complex backgrounds, this paper adopts the flow mathematics method of different adjacent regions to solve traditional flow problems under complex backgrounds. On this basis, the VNM (Von Neumann and Morgenstern) function is used to reduce the noise of the image in the complex background, and the computer blur algorithm is used to maximize the light intensity and spatial distribution of the digital image. Finally, pixel-level fusion of digital images is realized.","PeriodicalId":382726,"journal":{"name":"2022 IEEE 2nd International Conference on Computer Systems (ICCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134158403","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