2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)最新文献_第8页

Design and implementation of intelligent recommendation Online Autonomous Learning System 智能推荐在线自主学习系统的设计与实现

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778384

Min Huang

引用次数: 0

Multi-view Image Display System Based On FPGA 基于FPGA的多视图图像显示系统

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778565

Zhe Tian

引用次数: 1

A Fast Cross-Band Spectrum Anomaly Detection Algorithm Based on Meta-Learning 一种基于元学习的快速跨频带频谱异常检测算法

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778699

Chung Peng, Mengbo Zhang, Weilin Hu, Lunwen Wang

引用次数: 1

Research on Generation Algorithm of Parallel Particle Swarm Algorithm Combination Test Cases 并行粒子群算法组合测试用例生成算法研究

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778654

D. He

{"title":"Research on Generation Algorithm of Parallel Particle Swarm Algorithm Combination Test Cases","authors":"D. He","doi":"10.1109/ICSP54964.2022.9778654","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778654","url":null,"abstract":"At this stage, software testing is the core means to ensure software quality and improve software reliability. At the same time, improving and generating the degree of automation corresponding to test cases is also the key to improving the automation level of software testing. In order to further improve the automation of generating test cases, it is necessary to reasonably optimize the inherent algorithm of the basic particle swarm. The inherent particle swarm algorithm takes more time to generate combined test cases. In response to this situation, a new parallel particle swarm algorithm is proposed to generate a pairwise combination test case method, and the big data platform spark is used as the basis to group all the use cases that need to be covered in the form of pairwise combination processing. The final result is sent to the corresponding cluster node for continued optimization. The one-test-at-a-time strategy is combined with the adaptive particle swarm algorithm to find the optimal solution. After the optimization operation of all nodes is completed, spark can be used to collect all the results produced. At this time, the collected and processed results can be simplified and processed through the use case set. The algorithm proposed in this paper mainly improves the automatic test case generation algorithm, so that the iterative prompting and average running time required for automatic stress generation are better than the traditional algorithm to achieve the purpose of improving the degree of automatic test generation.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130384359","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: 1

A Multi-view 3D Human Pose Estimation Algorithm Based On Positional Attention 一种基于位置注意的多视图三维人体姿态估计算法

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778615

Dandan Sun, ChangAn Zhang

{"title":"A Multi-view 3D Human Pose Estimation Algorithm Based On Positional Attention","authors":"Dandan Sun, ChangAn Zhang","doi":"10.1109/ICSP54964.2022.9778615","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778615","url":null,"abstract":"With the development of CNNs, the human pose estimation research has made great progress, but there is still a problem: the relationships of the human each joint location are not well exploited in previous CNNs-based methods. Considering the order of global spatial information and human body location information, we propose a multi-view 3D human pose estimation algorithm based on position attention. In 2D detection stage, position coding is adopted to rebuild the image in the global space position relation. The attention mechanism can model the relationship between various channels and capture feature maps the dependencies between the horizontal and vertical direction, and the details are mined from the feature location relationship to generate high-quality feature maps. In the last stage of feature extraction, adjacent view features are used to enhance the spatial expression ability of feature images, so as to better solve occlusion and oblique view. Experiments on the Human3.6M data set show that when using Resnet-50 as the backbone network and 256×256 of the image size, the average joint error of our algorithm is reduced to 25.2mm, which reaching the competitive result.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115323972","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: 1

Exploitability Analysis of Public Component Library Vulnerabilities Based on Taint Analysis 基于污点分析的公共组件库漏洞可利用性分析

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778489

Huijie Yuan, Yunchao Wang, Guoxiao Zong, Zhuo Lv

{"title":"Exploitability Analysis of Public Component Library Vulnerabilities Based on Taint Analysis","authors":"Huijie Yuan, Yunchao Wang, Guoxiao Zong, Zhuo Lv","doi":"10.1109/ICSP54964.2022.9778489","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778489","url":null,"abstract":"The reuse of public component libraries has contributed to the field of computer science because of its low implementation time and high production efficiency. However, the vulnerabilities in libraries can be more serious than those in real-world software because they can affect various software which uses these libraries. Therefore, the technologies of vulnerability mining of public component libraries have received extensive attention, such as fuzzing. But the number of crashes generated by fuzzing is huge, and only an exceedingly small number of public component library vulnerabilities are exploitable in real-world software. To solve this problem, we use taint analysis techniques to analyze the exploitability of library vulnerabilities in real-world software. We first use Pin binary instrumentation technology to instrument the consumer program, analyze the process of calling the library in the consumer program through the taint analysis, and convert the extracted execution path and parameter information into an adjacency matrix. Then we analyze the execution path and crash scene of the crash file, convert the exploitability analysis into path reachability analysis, and determine whether the crash can reach the vulnerable pointer of the software through reachability. Finally, we divide the library vulnerabilities into three levels: directly exploitable, indirectly exploitable, and unexploitable. We design and implement a prototype tool, LibExp-T, to analyze nine public component libraries and four real-world software containing multiple attack surfaces such as images, audio, video, fonts, etc. And we compare them with automatic exploit generation tools CRAX and REX. The results show that LibExp-T can effectively verify the exploitability of component library vulnerabilities in real-world software with low overhead.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"17 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114133198","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

Federated Learning for Long-term Forecasting of Electricity Consumption towards a Carbon-neutral Future 面向碳中和未来的电力消费长期预测的联邦学习

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778813

Zhiheng Shen, Qiaofeng Wu, Jiajia Qian, Chenlin Gu, Feifei Sun, Jia Tan

引用次数: 2

A Specific Emitter Identification Method Based on RF-DNA and XGBoost 基于RF-DNA和XGBoost的特定发射器识别方法

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778627

Yipeng Zhou, Chun-yu Wang, Rui Zhou, Xiaofeng Wang, Hailong Wang, Yan Yu

引用次数: 0

Electropalatographic Articulation process of Uyghur Consonant ʤ 维吾尔语辅音“<e:1>”的电腭发音过程

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778642

Kailibinuer Abudureheman, Jianbin Wang, Mei Reyi, Mei Na

引用次数: 0

Visual Detection Algorithm of Foreign Object Intrusion in High-Speed Railway Traction Substation Based on Patch Clustering Learning 基于斑块聚类学习的高速铁路牵引变电站异物入侵视觉检测算法

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778468

Meng Xiang, Xuemin Lu, W. Quan, Shibin Gao, Gousong Lin

{"title":"Visual Detection Algorithm of Foreign Object Intrusion in High-Speed Railway Traction Substation Based on Patch Clustering Learning","authors":"Meng Xiang, Xuemin Lu, W. Quan, Shibin Gao, Gousong Lin","doi":"10.1109/ICSP54964.2022.9778468","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778468","url":null,"abstract":"Since high-speed railway traction substation is usually built in an open area, the intrusion of foreign objects will cause hidden trouble to the operation safety of the substation, so it is of great significance and practical value to study the foreign object intrusion detection method in traction substation. Therefore, this paper proposes a patch-based clustering learning foreign invasion of visual detection algorithm. Firstly, the global region image of the high-speed railway traction substation is divided into patches, and then features are extracted from the segmented image patches based on the MobileNetV2 network. Then, the image patches are clustered according to these features by the K-means method and the classification results are obtained. Finally, the Patch-SVDD method is used to train the encoder and classifier to detect and locate foreign object intrusion. Based on the real traction substation data, the optimal input size and sampling step size of the image patch were obtained by selecting segmentation image patches of different sizes and sampling step sizes, and the validity and accuracy of the proposed method were verified. The detection accuracy of foreign object intrusion was 96.6%, and the positioning accuracy was 98.8%.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123138815","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