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

Surgical Instrument Positioning System Based on Binocular Vision 基于双目视觉的手术器械定位系统

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213107

Xiaodong Lin, Xinzui Wang, Fucheng Cao, Yanli Yang

{"title":"Surgical Instrument Positioning System Based on Binocular Vision","authors":"Xiaodong Lin, Xinzui Wang, Fucheng Cao, Yanli Yang","doi":"10.1109/ISCTIS58954.2023.10213107","DOIUrl":"https://doi.org/10.1109/ISCTIS58954.2023.10213107","url":null,"abstract":"Surgical instrument positioning is the core component of the surgical navigation system, which determines the accuracy of the entire system. Based on the principle of binocular vision, a surgical instrument positioning system is proposed. The system uses colored balls as markers. First, the colored ball area is extracted through color segmentation, then the center coordinates of the markers in the left and right images are obtained through the proposed algorithm based on connected domain extraction and centroid calculation. The algorithm first extracts the connected domain in the image, excludes the non-marker areas by the area of the connected domain, and then calculates the center of the connected domain using the centroid formula. Next, the left and right centers are matched based on spatial position, and the centers' three-dimensional coordinates are obtained through three-dimensional reconstruction. Finally, the three-dimensional coordinates of the surgical instrument tip are indirectly obtained through the center 3D coordinates. The stability and accuracy tests were carried out for the system, the results show that the system has good stability and accuracy.","PeriodicalId":334790,"journal":{"name":"2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"24 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":"115626165","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 Weighted Gauss-Seidel Iterative Algorithm with Fast Convergence 一种快速收敛的加权高斯-赛德尔迭代算法

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213210

D. Shen, Li Chen, Qiang Li, Tong Chen, Fengfeng Zhao

引用次数: 0

LCD Graphic Element Location Method Combining NL-means and Local Threshold Segmentation 结合nl均值和局部阈值分割的LCD图形元素定位方法

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213011

Xiaohui Wang, J. Tan

引用次数: 0

Dueling DQN-Rollout for Collision Avoidance Path Planning with Vehicle Speed Location 基于车速定位的避碰路径规划决斗DQN-Rollout

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213163

Gujiayin Nian, Jingzhong Xiao, Xuchuan Zhou

引用次数: 0

The Method of Intelligent Extracting of Abnormal Data Under Computer Data Mining Technology 计算机数据挖掘技术下异常数据的智能提取方法

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213150

Yingmin Zhang, Shuo Li

引用次数: 0

Prediction of Wordle Game based on BP neural network optimization based on Grey Wolf algorithm 基于灰狼算法的BP神经网络优化世界棋局预测

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213079

Qinpeng Chen, Bailiang Liu, Zhuoqi Liu, Jiaxu Song, Yucheng Liu

引用次数: 0

Imbalanced radar micro-motion target classification based on k-means SMOTE and deep residual network 基于k-means SMOTE和深度残差网络的非平衡雷达微动目标分类

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213190

Xiaoyi Wang, Shuhao Zhang, Y. Zhang, Zhongjun Yu

{"title":"Imbalanced radar micro-motion target classification based on k-means SMOTE and deep residual network","authors":"Xiaoyi Wang, Shuhao Zhang, Y. Zhang, Zhongjun Yu","doi":"10.1109/ISCTIS58954.2023.10213190","DOIUrl":"https://doi.org/10.1109/ISCTIS58954.2023.10213190","url":null,"abstract":"In the practical application of radar target classification based on deep learning, there are problems such as incomplete and imbalanced radar datasets making it difficult for deep learning to leverage its advantages. Based on these problems, an imbalanced radar micro-motion target classification method based on k-means SMOTE and deep residual network is proposed. Firstly, based on the imbalance of various target samples collected in practice, in order to make full use of the micro-motion features of targets, the K-means SMOTE algorithm is proposed to optimize and balance training datasets. Then, accurate classification of micro-motion radar targets is achieved based on the residual network, which uses the ResNeXt101 network as the core structure. Finally, based on measured radar target data, experimental verification is conducted. The experimental results show that compared to traditional deep learning direct object classification methods, the algorithm proposed in this paper can more effectively address the problem of data imbalance and achieve higher classification accuracy.","PeriodicalId":334790,"journal":{"name":"2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"114 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":"117259221","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

Human Intrusion Detection System using mm Wave Radar 毫米波雷达人体入侵检测系统

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213143

Xiaojiao Yang, Fangzuo Zhang, Yun He, Pei Liang, Jun Yang

引用次数: 0

Research on Operating System Runtime Jitter Control Method for Electromagnetic Transient Real time Simulation Calculation 电磁瞬变实时仿真计算中操作系统运行时抖动控制方法研究

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10212991

Q. Guo, Tianyu Guo, Yuanhong Lu, Haiping Guo, Libin Huang, Liang Tu

引用次数: 0

Speculative ECC and LCIM Enabled NUMA Device Core 推测ECC和LCIM使能NUMA设备核心

2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2023-07-07 DOI: 10.1109/ISCTIS58954.2023.10213102

You Zhang, Ke Yang, Yihan Wang, Pengyu Yang, Xiyuan Liu

{"title":"Speculative ECC and LCIM Enabled NUMA Device Core","authors":"You Zhang, Ke Yang, Yihan Wang, Pengyu Yang, Xiyuan Liu","doi":"10.1109/ISCTIS58954.2023.10213102","DOIUrl":"https://doi.org/10.1109/ISCTIS58954.2023.10213102","url":null,"abstract":"Advanced process technology allows high memory density while securing high bandwidth. However, the increasing disparity between the computing unit and memory known as the memory wall impedes applications like artificial intelligence (AI) related workloads. The larger area of the memory cell introduces more memory defects, and this causes a memory yield problem. Error-correction code (ECC) is a widely used technique in modern computer architecture for system robustness. The overhead introduced by ECC limits the performance in certain timing-critical applications, like caches. The real time ECC combined with in-memory computation shows great power in addressing the performance and power bottlenecks. This paper proposes a hardware architecture to support memory ECC speculative computing cache. The paper presents a memory structure that implements separate data memory and tag memory, breaking the serialization between data access and error detection. The data is fetched making the prediction that tag is correct and uncorrupted. The system is rolled back when the prediction is wrong. Further optimization involves in-memory computing, which saves memory bandwidth. The proposed ECC speculative computing cache also reduced power and area overhead by reusing the logic from the computing cache.","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":"129366673","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