{"title":"Multi-record Matching Strategy in Assessment of Complex Information System Skills","authors":"Jimei Li, Ruohui Wang","doi":"10.1109/ICCSE49874.2020.9201824","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201824","url":null,"abstract":"Complex information system is widely used in modern society, and its skills assessment plays an important role in its practical work. Research on multi-record matching strategy benefits to the quality of assessment results on complex information system skills. This paper takes ERP software as an example and studies the multi-record matching strategy. It firstly designs and implements five record-matching methods, depending on the keywords, the local optimal accuracy, the local optimal scores, the global optimal accuracy and the global optimal scores, and then carries on the comparison to the effect of them. The keywords matching means that all the scoring fields in one record are matched, then the whole record is deemed to be matched. The optimal method refers to selecting the record with the maximum accuracy or scores as the matched record. The local way of matching relies on the order of the records, whereas the global one considers all the possible matches for the determination of the result. When using the accuracy as the optimal selection basis, the number of matching fields in one record must be counted. At the time if the scores are the criteria, the scores of matched fields need to be calculated before working out the final matched records. The paper is aim to help carry out the study in skills assessment and the practical work of complex information system.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115667205","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}
Xinlu Zong, Yijie Chen, Aiping Liu, Ruicheng Li, Shiqin Liu, Han Yu, Min Tan
{"title":"Abnormal Event Detection in Video Based on Sparse Representation","authors":"Xinlu Zong, Yijie Chen, Aiping Liu, Ruicheng Li, Shiqin Liu, Han Yu, Min Tan","doi":"10.1109/ICCSE49874.2020.9201883","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201883","url":null,"abstract":"As a research hotspot in intelligent video surveillance system, abnormal event detection has attracted the attention of many researchers in recent years. In order to overcome the shortcoming of the semi-supervised model, that is, the training sample is difficult to contain all possible situations, which leads to the occurrence of error detection, we propose a method based on sparse representation. The principle of this method is to train the model with normal data and abnormal data respectively, get two sparse representation models, and then judge whether there are abnormal events according to the results of the two models. The method has passed the test of the existing data sets and achieved good results.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"1710 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114088170","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}
Lianzhen Liu, Wei Liu, Xinyu Li, Weiwei Wang, W. Cheng
{"title":"Eye-tracking Based Performance Analysis in Error Finding Programming Test","authors":"Lianzhen Liu, Wei Liu, Xinyu Li, Weiwei Wang, W. Cheng","doi":"10.1109/ICCSE49874.2020.9201882","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201882","url":null,"abstract":"Error finding is a widely-used kind of test to assess the students’ ability in program comprehension and debugging. Recently some eye-tracking based approaches have been proposed to analyze students’ cognitive process in programming, but few of them focused on the performance assessment in programming courses. In our previous work, an eye-tracking assisted framework was proposed to assess the overall performance of one student in a web-based error-find test. Aiming to provide individual diagnostics, we extend that work in this paper, and study 15 students’ performance in different phases of the online test. For each student, his performance is analyzed in two phases, i.e. the code overview phase and the subsequent phase. In the first phase, the behavior of first-time code browsing and first-time error finding is studied and compared. We find that the performance of first error-finding action has obvious correlation with the final test score. In the subsequent phase, the students’ performances are examined in activity sequence separated by the click events. We propose a new metric, namely matched ratio of program execution, to describe the proportion of gaze path matching with the program execution. Data analysis results show that, it is more helpful in interpreting students’ behavior and describing the students’ working efficiency in the test.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123877190","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}
{"title":"Design of Blending Teaching Mode for Software Testing Course","authors":"Aili Liu","doi":"10.1109/ICCSE49874.2020.9201740","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201740","url":null,"abstract":"Software testing is a very practical course, in order to achieve the teaching requirements of professional ability training as the important target, this paper puts forward the design of blending teaching mode of software testing course from three aspects: teaching method, teaching content and teaching evaluation. Among them, online micro-video teaching is adopted before class, and offline teaching combined with the teaching mode of flipped classroom is adopted in class, running through the teaching methods of graded project-driven and case teaching, and that online recombination test paper is adopted to test students' learning effect after class. This will form a closed loop of pre-class, in-class and after-class learning, giving play to the advantages of online and offline teaching, promoting students' personalized independent learning and in-depth learning, so as to improve students' learning effect.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116222783","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}
{"title":"iSchood: a Tool Software for Identifying Suspicious Copied Homework Documents with Definitive Contents","authors":"Gang Lu, Jingyang Gao, Ruiqi Li","doi":"10.1109/ICCSE49874.2020.9201869","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201869","url":null,"abstract":"For the homework that has a definitive result, identifying suspicious copied homework documents from a mass of submitted ones is usually a laborious work. Because the documents have almost the same contents, it is impossible to discover copied ones by reading and comparing their contents in detail. However, copied documents will have similar or even the same file properties to the original ones. That makes it possible to identify the suspicious copied documents with similar file properties. We develop a tool software to process the comparisons automatically. It is based on an open source third-party library, and is developed in .NET as a Windows Form application. It simply reads the file properties, and calculates the hash strings from them. It is not necessary to compare every pair of hash strings. It is just needed to sort all the files by their hash strings, then the files with the same hash strings will be put together. The tool software is named iSchood, which means Identifying Suspicious Copied HOmewOrk Documents. By this software, the suspicious copied documents can be identified in a fast and lightweight way.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122943223","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}
Xiangqun Chen, Weizhen Sun, Yu Luo, Lei Wang, Yong Xiang
{"title":"Research on the knowledge hierarchy and practice teaching of operating system course under the background of emerging engineering","authors":"Xiangqun Chen, Weizhen Sun, Yu Luo, Lei Wang, Yong Xiang","doi":"10.1109/ICCSE49874.2020.9201856","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201856","url":null,"abstract":"For the construction of emerging engineering, this paper studies the construction of knowledge hierarchy and teaching practice of the operating system course, puts forward the project-centric comprehensive method of study to help students develop the necessary skills, knowledge and quality. Through the reform and innovation, this paper is committed to improving the quality of engineering personnel training with particular emphasis on the formation of the students' engineering thinking. At the same time, this paper aims to make an overall change of engineering education, especially focuses on the learning methods and learning content of college students to achieve the goal of training leading engineering talents who can lead the future development of industry and society.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124678716","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}
{"title":"Active Learning in Online Computer Systems Course","authors":"Lida Huang, Huan Zhao, Kehua Yang, Yan Liu, Jingke She, Xiongren Xiao, Guoqi Xie, Wendan Yuan","doi":"10.1109/ICCSE49874.2020.9201692","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201692","url":null,"abstract":"Active learning has been proven to improve students learning outcomes effectively. An online active learning pedagogy model is designed and applied in online Computer Systems course this Spring. The model includes five cycle phases which cover online feedback between students and instructor before class, active discussion in the online class, and asynchronous interaction after class in the virtual education environment. Based on the data from students’ questionnaires and the test score ratio shows the active learning pedagogy model is efficient for online education.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121572582","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}
{"title":"Multi-Scale Adaptive Graph Convolutional Network for Skeleton-Based Action Recognition","authors":"Yiqi Fan, Xiaojuan Wang, Tianqi Lv, Lingrui Wu","doi":"10.1109/ICCSE49874.2020.9201897","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201897","url":null,"abstract":"Skeleton-based action recognition is a branch of action recognition which uses dynamic skeletons as input. Recent research based on graph convolutional networks (GCN) has achieved remarkable performance in this area. However, feature extraction and fusion at different physical scales have not been well studied. To solve these issues, we propose a novel MultiScale Adaptive Graph Convolutional Network (MSGCN) which contains a Multi-Scale Graph Convolutional Module and a MultiScale Selective Fusion Module. Extensive experiments on NTU- RGBD dataset demonstrate the effectiveness of our method, our method achieved competitive performance on NTU-RGBD dataset.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122237125","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}
Jinli Yan, Chunbo Jia, Lu Tang, Tao Li, Gaofeng Lv, W. Quan, Hui Yang
{"title":"Network Programming Interface in General-Purpose Multi-core Processor: A Survey","authors":"Jinli Yan, Chunbo Jia, Lu Tang, Tao Li, Gaofeng Lv, W. Quan, Hui Yang","doi":"10.1109/ICCSE49874.2020.9201704","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201704","url":null,"abstract":"Recently, the development and deployment of dedicated hardware can hardly keep pace with the increasing complexity of the network functions. With the performance improvement, the maturity of virtualization technology and many open-source network projects (such as DPDK), the general-purpose multi-core processors (multi-core CPU) have been widely used in network field. Network operators are migrating network functions to multi-core CPU for flexible development and dynamic deployment. Network programming interfaces on multi-core CPU not only provide general packet processing services but also shield the complex implementation of software and hardware for developers. Both network application requirements and implementation mechanisms of the underlying platform have significant influences on the development of network programming interfaces. In this paper, we first review the development of network programming interfaces and classify programming interfaces by information model, resource management mode, and development model. We then analyze the programming interfaces provided by Click, VPP, and mOS, respectively. Because 5G and data center networks require high programmability and performance, and software/hardware co-processing become popular packet processing architectures, we also propose future research directions, including application-defined semantics of control blocks, software/hardware dynamical reconfiguration, and multi-dimensional event management.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129635977","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}
{"title":"Design and Implementation of University Continuing Education Informatization Platform Based on SaaS Model","authors":"Boqin Liu, Hanrong Chen, He Junmei","doi":"10.1109/ICCSE49874.2020.9201626","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201626","url":null,"abstract":"With constant progress being made in informatization of network and continuing education, remote continuing education informatization infrastructure has reached certain scale in our school. Our construction capability has been enhanced steadily, while the number and quality of digital education resources has witnessed substantial improvement. Given the wide coverage of our external learning centers (311 off-campus learning centers in over 20 provinces, including municipalities and autonomous regions, and over 100 Aopeng off-campus learning centers), some centers, with limited funding, is facing problems like high software development costs and maintenance and upgrading difficulties. On-line software service based on SaaS is a newly-emerged software application mode and also one of the three cloud computing modes. In this thesis, the on-line learning platform based on SaaS mode, being practical, universally-applicable, flexible and extendable, transformed educational software from traditional products into service, which could greatly reduce software and hardware and thereby better serve the remote continuing education in our school.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125709370","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}