2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS)最新文献_第4页

Distributed Telemetry Equipment Digital Simulation System Based on Container Cloud 基于容器云的分布式遥测设备数字仿真系统

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213169

Gang Li, Bin Shi, Xueliang Wang, Chenghao Ma

{"title":"Distributed Telemetry Equipment Digital Simulation System Based on Container Cloud","authors":"Gang Li, Bin Shi, Xueliang Wang, Chenghao Ma","doi":"10.1109/ISCTIS58954.2023.10213169","DOIUrl":"https://doi.org/10.1109/ISCTIS58954.2023.10213169","url":null,"abstract":"With the increasing number of distributed wide-area telemetry equipments, rapid design and realtime deduction of telemetry equipment measurement schemes become a problem needed to be solved. In order to solve this problem, a distributed telemetry equipment digital simulation system based on container cloud is constructed. The digital simulation system is constructed according to the five-layer framework of physical equipment layer with distributed telemetry equipments, basic service layer, core function layer, model service layer and application display layer. Distributed time synchronization technology is adopted to unify the system time. And the AE element measurement model, the telemetry data processing model and the range coverage calculation model are constructed. In static and dynamic experiments, it takes about 2 minutes for the system to complete the rapid design of 80 sets of equipment measurement schemes. The simulated and measured data have good consistency and strong correlation. The results show that the digital simulation system can simulate the function of actual equipments well and improve the timeliness and reliability of telemetry equipments.","PeriodicalId":334790,"journal":{"name":"2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128664763","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

An Empirical Study on the Correlation between Neuron Coverage and Code Coverage 神经元覆盖率与代码覆盖率相关性的实证研究

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213091

Yahui Li, Guangjie Li

引用次数: 0

Integrated Clustering of Cancer Genes Based on Local Weighting 基于局部加权的肿瘤基因综合聚类

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213131

Chenwen Wu, Zhichao Xu, Hengtong Li

{"title":"Integrated Clustering of Cancer Genes Based on Local Weighting","authors":"Chenwen Wu, Zhichao Xu, Hengtong Li","doi":"10.1109/ISCTIS58954.2023.10213131","DOIUrl":"https://doi.org/10.1109/ISCTIS58954.2023.10213131","url":null,"abstract":"This paper proposes propose a novel ensemble clustering method to address the problem that integrated clustering typically treats all component clusters equally without considering their reliability, thereby being vulnerable to low-quality component clusters. Firstly, five clustering methods are adopted to generate different component clusters. Secondly, a new ensemble-driven clustering index (ECI) based on the unreliability of component clusters is introduced to construct a pool of candidate component clusters and discard low-quality ones. To capture the local diversity of the ensemble, we utilize a matrix known as a locally weighted co-association matrix (LWCA), and a new consistency function, improved locally weighted graph partitioning with consistency consideration (RLWGP), we propose a further approach by incorporating cluster labels across the ensemble through an entropy criterion. In this approach, we consider both clusters and objects as nodes in the graph, and the advantage of bipartite graph structure facilitates efficient graph partitioning and preferable clustering performance. Our experimental results, conducted on various cancer datasets, demonstrate that the proposed method outperforms existing methods in terms of accuracy, precision, and recall.","PeriodicalId":334790,"journal":{"name":"2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130154131","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

Research on ‘Building Block’ Digital Logic Simulation Platform in SaaS Mode * SaaS模式下“积木式”数字逻辑仿真平台的研究*

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213135

Qianlong Liu, Nuo Xiao, Liya Xi, Xinyu Xia, Huaming Hu

引用次数: 0

Power Equipment 3D Reconstruction Method for Distribution Network 配电网电力设备三维重建方法

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213177

Jia Lin, Huaqin He, Libin Wu, Guohua Zhang, Lingjun Gao, Tianhua Zhou

{"title":"Power Equipment 3D Reconstruction Method for Distribution Network","authors":"Jia Lin, Huaqin He, Libin Wu, Guohua Zhang, Lingjun Gao, Tianhua Zhou","doi":"10.1109/ISCTIS58954.2023.10213177","DOIUrl":"https://doi.org/10.1109/ISCTIS58954.2023.10213177","url":null,"abstract":"With the rapid development of oblique photography modeling technology, automatic production of oblique photography 3D models has become increasingly mature. The singulation of oblique photography 3D models has focused on urban buildings at home and abroad, but there are few studies on power distribution network equipment. The fine modeling method of true 3D singulation model based on tilted photographic images requires manual interactive editing. The research and realization of singulation of 3D model of tilted photography based on Cesium also did not solve it. Automatic and regular three-dimensional model contours is the most advanced model to aim at distribution network equipment. We analyze the eb3d data specifications and the principle of unitization supported by the power grid GIS platform, summarizes the existing research results of building unitization, and studies the key technologies of 3D reconstruction of the distribution network. We realized the three-dimensional reconstruction of the distribution network, service release, and three-dimensional display of the distribution network in real urban applications.","PeriodicalId":334790,"journal":{"name":"2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130720213","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

3D Reconstruction of Nonuniform Rational B-Spline Surface Based on Line-Structured Light 基于线结构光的非均匀有理b样条曲面三维重建

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213071

Ziyu Zhang, Zhenwei Wang, Hang Zhao, Hong Chen

{"title":"3D Reconstruction of Nonuniform Rational B-Spline Surface Based on Line-Structured Light","authors":"Ziyu Zhang, Zhenwei Wang, Hang Zhao, Hong Chen","doi":"10.1109/ISCTIS58954.2023.10213071","DOIUrl":"https://doi.org/10.1109/ISCTIS58954.2023.10213071","url":null,"abstract":"Structured light is considered one of the fundamental and reliable techniques for 3D surface reconstruction. In particular, the line-structured light reconstruction method has been widely adopted due to its high precision, robust stability, and simple design. However, using line-structured light to reconstruct complex surfaces, particularly those represented by nonuniform rational B-Spline (NURBS), presents significant challenges. In view of this, this paper focuses on the 3D reconstruction of NURBS surfaces and does the following work: First, the R-channel stripe center extraction algorithm is presented because the laser stripes used in this process often suffer from severe deformation, which can lead to difficulties in center extraction and discontinuity issues. Second, the 3D reconstruction of the NURBS surface is carried out. The average absolute error of the reconstructed surface in the x-direction is 0.1244mm, and the average relative error is 0.11%, reflecting the accuracy of the reconstruction algorithm in this paper. Finally, an improved Iterative Closest Point (ICP) algorithm is presented to overcome the challenge of point cloud registration caused by the similarity in shape between the peaks and valleys of NURBS surfaces. Experimental results show that it significantly improves the registration quality of NURBS surfaces.","PeriodicalId":334790,"journal":{"name":"2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"351 1-3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132879557","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

Image Super-Resolution Using a Enhanced Swin Transformer Network 使用增强型Swin变压器网络的图像超分辨率

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213090

Qinan Zheng, Huahu Xu, Minjie Bian

{"title":"Image Super-Resolution Using a Enhanced Swin Transformer Network","authors":"Qinan Zheng, Huahu Xu, Minjie Bian","doi":"10.1109/ISCTIS58954.2023.10213090","DOIUrl":"https://doi.org/10.1109/ISCTIS58954.2023.10213090","url":null,"abstract":"Image Super-Resolution is a technique in the field of image processing that involves enhancing low-resolution images to generate high-resolution images. This technique aims to improve the clarity and details of images, thereby enhancing their quality and usability. While state-of-the-art image restoration methods are based on convolutional neural networks, they still face challenges such as high demand for training data, computational resource requirements, and difficulty in handling fine details. In this paper, we propose ASTSR, a super-resolution reconstruction model based on data augmentation and Swin Transformer. ASTSR consists of four components: data augmentation, shallow feature extraction, deep feature extraction, and image reconstruction. The data augmentation layer generates new training samples by randomly cropping and blurring different regions of images, thereby expanding the training dataset and improving the model's generalization ability and robustness. The deep feature extraction module is composed of multiple Swin Transformer residual blocks (STRBs). We conduct experiments on different datasets, and the results demonstrate that ASTSR achieves superior performance compared to other state-of-the-art methods, with a performance gain ranging from 0.04 to 0.36 dB, while reducing the total number of parameters by 24%.","PeriodicalId":334790,"journal":{"name":"2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129252763","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 Breast Lesion Segmentation Method Based on Radio Frequency Ultrasound Signals 一种基于射频超声信号的乳腺病变分割方法

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213002

Shengjun Zhang, Suya Han

{"title":"A Breast Lesion Segmentation Method Based on Radio Frequency Ultrasound Signals","authors":"Shengjun Zhang, Suya Han","doi":"10.1109/ISCTIS58954.2023.10213002","DOIUrl":"https://doi.org/10.1109/ISCTIS58954.2023.10213002","url":null,"abstract":"Accurate breast detection and segmentation methods can improve the effectiveness of detection and diagnosis of breast disease, while simultaneously alleviating the workload of medical practitioners. In recent years, numerous methods have emerged for segmenting breast lesions. However, most of them rely on B-mode ultrasound images and exhibit limited understanding of the primary data. To improve the accuracy of segmentation, a segmentation algorithm based on the original ultrasound RF signal is proposed in this paper. The algorithm first uses the MimickNet technique for noise reduction and compression of the original radio frequency (RF) signal. Then, the boundary prediction is accomplished using the Visual Geometry Group 16 (VGG16) neural network as a boundary probability detector. To mitigate the error introduced by the binarization of the boundary probability matrix, a negative feedback-based optimizer is utilized. In the experiments, medical ultrasound images from the publicly available dataset OASBUD are segmented using the algorithm in this paper. The results are compared with those by the U-net method, threshold method, watershed algorithm and texture-based algorithm. It turns out that the algorithm in this paper has great accuracy and stability in noise reduction, compression processing, boundary prediction and accuracy maintenance.","PeriodicalId":334790,"journal":{"name":"2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122552867","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

Multi Target Detection Algorithm for Millimeter Wave Radar Based on Improved OS-CFAR 基于改进OS-CFAR的毫米波雷达多目标检测算法

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10212990

Weijie Yang, M. Ai, Fenggui Wang, Quangang Fu, Mei Chai, Yanbo Zhang

{"title":"Multi Target Detection Algorithm for Millimeter Wave Radar Based on Improved OS-CFAR","authors":"Weijie Yang, M. Ai, Fenggui Wang, Quangang Fu, Mei Chai, Yanbo Zhang","doi":"10.1109/ISCTIS58954.2023.10212990","DOIUrl":"https://doi.org/10.1109/ISCTIS58954.2023.10212990","url":null,"abstract":"When radar performs constant false alarm detection in a multi target environment, if the targets are close together, there will be target masking phenomenon. OS-CFAR performs well in multi target environments, but it has a tolerance for detecting targets, which is determined by the K value in the algorithm. When the number of targets exceeds the tolerance, serious false alarms may occur. This article focuses on the issue of missed alarms caused by the number of targets exceeding the tolerance limit in OS-CFAR. Based on OS-CFAR, an improvement is made and the ITS-CFAR algorithm is proposed. This algorithm uses the iterative threshold method to obtain the threshold, and the signal of the reference unit is segmented based on the threshold to obtain the K value, thereby obtaining the detection threshold to determine the target signal. This effectively reduces the missed alarms caused by the number of targets exceeding the tolerance limit in the OS-CFAR algorithm. Simulation analysis was conducted on the improved detection algorithm, and the results showed that when the number of targets exceeded the OS-CFAR tolerance, the OS-CFAR detector basically lost its detection ability, while the ITS-CFAR detector still maintained a detection probability of over 90% and had strong resistance to target interference.","PeriodicalId":334790,"journal":{"name":"2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116677556","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

Differential Evolution Using Interpolation Strategy for Multimodal Multiobjective Optimization 基于插值策略的差分进化多模态多目标优化

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213183

Jing J. Liang, Xudong Sui, C. Yue, Ying Bi, Mingyuan Yu

{"title":"Differential Evolution Using Interpolation Strategy for Multimodal Multiobjective Optimization","authors":"Jing J. Liang, Xudong Sui, C. Yue, Ying Bi, Mingyuan Yu","doi":"10.1109/ISCTIS58954.2023.10213183","DOIUrl":"https://doi.org/10.1109/ISCTIS58954.2023.10213183","url":null,"abstract":"The ultimate goal of solving Multimodal Multiobjective Optimization Problems (MMOPs) is to identify all Pareto optimal solution sets that are equivalent. Strong search capability and environmental selection mechanism must be possessed by an algorithm designed to solve MMOPs. In this paper, we propose a novel algorithm called Differential Evolution using Interpolation Strategy for Multimodal Multiobjective Optimization (MMODE_IS). The proposed algorithm comprises three main components. First, a neighborhood search strategy that using the data interpolation technique is proposed to aid population evolution and enhance the algorithm's search capability in the decision space. Second, the algorithm dynamically chooses the environment selection mechanism based on the population's evolutionary stage through a novel adaptive selection strategy, thus selecting outstanding individuals that are beneficial to the population's evolution. Finally, we evaluated the performance of MMODE_IS by comparing it with several state-of-the-art algorithms. The experimental results prove that MMODE_IS can effectively solve the MMOPs.","PeriodicalId":334790,"journal":{"name":"2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131218290","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