Proceedings of the 6th International Conference on Computer Science and Application Engineering最新文献_第2页

Reducing the Risk of Completeness Loss by Subgraph Reasoning in Engineering Applications 用子图推理降低工程应用中完备性损失的风险

Proceedings of the 6th International Conference on Computer Science and Application Engineering Pub Date : 2022-10-21 DOI: 10.1145/3565387.3565401

Xixi Zhu, B. Liu, Zhao-yun Ding, Li Yao, Cheng Zhu, Xianqiang Zhu

{"title":"Reducing the Risk of Completeness Loss by Subgraph Reasoning in Engineering Applications","authors":"Xixi Zhu, B. Liu, Zhao-yun Ding, Li Yao, Cheng Zhu, Xianqiang Zhu","doi":"10.1145/3565387.3565401","DOIUrl":"https://doi.org/10.1145/3565387.3565401","url":null,"abstract":"The ontology knowledge base is divided into TBox and ABox, the former is the schema-level information of the knowledge base, which is used to describe the relationship between the recognized concepts and attributes, and the latter is a collection of instance assertions or fact statements in the domain. Using TBox, the process of reasoning more implicit assertions in ABox is called ABox materialization, which plays an important role in knowledge base applications. Some ontology reasoners for OWL DL and DL-safe SWRL, the reasoning results are considered to be correct and complete. However, in practical applications, this paper finds that in some cases, the reasoning results are not complete when reasoning about the ontology knowledge base constructed by OWL DL and DL-sale SWRL. In those application scenarios that require completeness, blindly trusting these reasoners will bring risks. In response to this problem, this paper proposes a method based on subgraph reasoning, which can identify whether the result of ontology reasoning is complete in engineering, and at the same time, when it is incomplete, new assertions that have not been found before can be inferred. The comparative experimental results on two open-source ontologies verify the method in this paper.","PeriodicalId":182491,"journal":{"name":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124949850","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

Augmented Reality-Based Rapid Digital Verification of the Body-in-white for Intelligent Manufacturing 基于增强现实的智能制造白车身快速数字验证

Proceedings of the 6th International Conference on Computer Science and Application Engineering Pub Date : 2022-10-21 DOI: 10.1145/3565387.3565448

Peng Wang, Yaoguang Hu, Xiaonan Yang, Jingfei Wang

引用次数: 0

A New Approximation Algorithm for the Contig-Based One-Sided Repetitive Genomic Scaffold Filling Problem 基于组态的单侧重复基因组支架填充问题的一种新的近似算法

Proceedings of the 6th International Conference on Computer Science and Application Engineering Pub Date : 2022-10-21 DOI: 10.1145/3565387.3565409

Nan Liu, Yong Zhu, Shenghua Li

引用次数: 0

Research on Dynamic Water Level Recognition of Cabin Based on Improved Retinex Algorithm: Dynamic Water Level Recognition 基于改进Retinex算法的船舱动态水位识别研究:动态水位识别

Proceedings of the 6th International Conference on Computer Science and Application Engineering Pub Date : 2022-10-21 DOI: 10.1145/3565387.3565430

Shuang Huang, Xu Cao, F. Li, Ziwei Zhao

引用次数: 0

An Improved TODIM Method With Z-number and Its Application in Ranking 一种改进的z数TODIM方法及其在排序中的应用

Proceedings of the 6th International Conference on Computer Science and Application Engineering Pub Date : 2022-10-21 DOI: 10.1145/3565387.3565395

Wenbin Deng, Meiqi Wu, Zheng Pei

引用次数: 0

CNN-based Hardhats Wearing Detection for On-site Monitoring 基于cnn的现场监控戴帽检测

Proceedings of the 6th International Conference on Computer Science and Application Engineering Pub Date : 2022-10-21 DOI: 10.1145/3565387.3565452

Xiaoyu Zheng, Jiehong Shen, Peng Li

{"title":"CNN-based Hardhats Wearing Detection for On-site Monitoring","authors":"Xiaoyu Zheng, Jiehong Shen, Peng Li","doi":"10.1145/3565387.3565452","DOIUrl":"https://doi.org/10.1145/3565387.3565452","url":null,"abstract":"Hardhat is a class of indispensable equipment for workers to enter construction sites. Considering that many accidents occurred at the construction sites are related to the violations of rules by workers, detection of workers whether wearing hardhats is particularly significant for production safety. However, due to the complex environment of the construction sites, it is a challenging issue to accurately detect whether workers are wearing hardhats. In this paper, a practical detection model with high detection accuracy is proposed. Firstly, after revising and supplementing the existing hardhat- wearing dataset, a large Hardhat-Head dataset is constructed, which consists of 11172 images, including 23766 head instances wearing hardhats, annotated as hat class, and 124928 head instances not wearing hardhats, annotated as person class. Secondly, in contrast to the commonly multiple-stage methods based on pedestrian detection or face detection, this paper adopts a higher accuracy and faster one-stage method to perform hardhats wearing detection. Finally, by training and testing four models modified based on the Cascade RCNN algorithm on our constructed Hardhat-Head dataset, the four trained models achieve the highest average precision (AP) value of 92% in the hat class and 94% in the person class, the highest mean AP value reaches 92.9%.","PeriodicalId":182491,"journal":{"name":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","volume":"243 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121478208","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 Method of Real-time Data Access and Storage in Urban Rail Based on Containers 基于容器的城市轨道交通实时数据存取与存储方法

Proceedings of the 6th International Conference on Computer Science and Application Engineering Pub Date : 2022-10-21 DOI: 10.1145/3565387.3565438

Ying-chen Di, Lele Zhang, Lili Chen

引用次数: 0

Personalization Exercise Recommendation Based on Cognitive Diagnosis 基于认知诊断的个性化运动推荐

Proceedings of the 6th International Conference on Computer Science and Application Engineering Pub Date : 2022-10-21 DOI: 10.1145/3565387.3565416

Hongle Du, Na Li, Famin Ma, T. Palaoag

{"title":"Personalization Exercise Recommendation Based on Cognitive Diagnosis","authors":"Hongle Du, Na Li, Famin Ma, T. Palaoag","doi":"10.1145/3565387.3565416","DOIUrl":"https://doi.org/10.1145/3565387.3565416","url":null,"abstract":"Online education has become an important part of education services. Faced with the vast online learning resources, how to provide students with personalized learning resources and achieve the goal of precise teaching is an important part of the intelligent teaching system. The premise of personalized recommendation is accurate personalized cognitive diagnosis and accurate analysis of each student's mastery of knowledge. Since cognitive diagnosis can diagnose and evaluate individual knowledge structure or cognitive process, combined with knowledge space theory, this paper designs a personalized exercise recommendation method based on cognitive diagnosis. The sequential dependency between course knowledge points has an impact on personalized exercise recommendation. Therefore, firstly, according to the knowledge space theory, the relationship graph between the knowledge concepts of the course is constructed, that is, the course knowledge topology map; Students conduct cognitive diagnosis and analyze the knowledge mastery status of each student; finally, the knowledge structure of each student is visualized on the knowledge map, and personalized test questions are recommended based on students' knowledge structure, question difficulty and course knowledge map. While improving the accuracy and reliability of the recommended test items, the interpretability of test item recommendation is guaranteed. The experimental comparison proves the accuracy and interpretability of the method in test item recommendation.","PeriodicalId":182491,"journal":{"name":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123843416","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 Integrated Automatic Control System for Railway Station Receiving and Dispatching Line Confirmation 铁路车站收发线确认综合自动控制系统的研究

Proceedings of the 6th International Conference on Computer Science and Application Engineering Pub Date : 2022-10-21 DOI: 10.1145/3565387.3565436

Xiaoyan Yang

引用次数: 0

Visualization Analysis of Information Literacy Education Research Based on Knowledge Graph 基于知识图谱的信息素养教育研究可视化分析

Proceedings of the 6th International Conference on Computer Science and Application Engineering Pub Date : 2022-10-21 DOI: 10.1145/3565387.3565417

Yang Jiang, Bo-Ra Jin

引用次数: 0