2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA)最新文献

A Data Mining Approach to Construct Classification Model for Predicting Tourism Graduates Employability 基于数据挖掘方法构建旅游毕业生就业能力预测分类模型

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197814

Anna Sheila I. Crisostomo, R. Encarnacion, Shakir Al Balushi

{"title":"A Data Mining Approach to Construct Classification Model for Predicting Tourism Graduates Employability","authors":"Anna Sheila I. Crisostomo, R. Encarnacion, Shakir Al Balushi","doi":"10.1109/SERA57763.2023.10197814","DOIUrl":"https://doi.org/10.1109/SERA57763.2023.10197814","url":null,"abstract":"Higher educational institutions’ goal is to ensure that graduates are imbibed with the required employability skills. Hence, by applying the concept of Knowledge Discover in Database (KDD), this study aims to build a graduates’ employment prediction model using classification task in Bayes and Tree Methods. The data utilized for this purpose are collected from the tracer survey conducted to Oman Tourism College alumni. Based on the graduates’ profiles, the generated model predicts whether a graduate is employed full-time, part-time, self-employed or unemployed. Using several classification techniques provided by Waikato Environment for Knowledge Analysis (WEKA), the findings revealed that RandomTree algorithm and REPTree algorithms, under decision tree methods yielded accuracy rates of 96.3636% and 88.1818% respectively. BayesNet algorithm, a variant of Bayes algorithm yielded an accuracy of 84.5455%, ranked third. Information gain and ranker method are also used for attribute ranking which showed occupation as the most influential factor for employability followed by job sector. Other attributes used in classifying the employment status of the graduates include occupation, job sector, specialization, degree, age, personality development skills, cultural competency, leadership, interpersonal skills, creativity, and problem-solving skills. This experiment concludes that a tree-based classifier is the most suitable algorithm for predicting tourism graduates’ employability in the tourism and hospitality sector of the Sultanate of Oman.","PeriodicalId":211080,"journal":{"name":"2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120992371","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

Rule-Based Representation Learning for Traditional Chinese Medicine Knowledge Graph 基于规则的中医知识图谱表示学习

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197724

Dongsheng Shi, Feng Lin, Yuxun Li, Qianzhong Chen, Y. Lin, Wentao Zhu, Dongmei Li, Xiaoping Zhang

引用次数: 0

Nighttime Vehicle Classification based on Thermal Images 基于热图像的夜间车辆分类

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197792

Xianshan Qu, N. Huynh, R. Mullen, J. Rose

{"title":"Nighttime Vehicle Classification based on Thermal Images","authors":"Xianshan Qu, N. Huynh, R. Mullen, J. Rose","doi":"10.1109/SERA57763.2023.10197792","DOIUrl":"https://doi.org/10.1109/SERA57763.2023.10197792","url":null,"abstract":"Each Department of Transportation in the United States must provide to the Federal Highway Administration on annual basis the number and types of vehicles traveled on its state-maintained roads. These data are fed into the Highway Performance Monitoring System used to assess the nation’s highway system performance. Classifying vehicles (i.e., identifying their types, e.g., passenger cars, trucks, etc.) during nighttime is quite challenging due to limited lighting. This study designed and evaluated three Convolutional Neural Network (CNN) models to classify vehicles using their thermal images. These three models have architectures that differ in the number of layers and, in the case of the third model, the addition of an inception layer. Of these, the second model achieves the best performance, achieving mean accuracy scores of greater than 97% for each of the three vehicle classes and f1 scores of greater than 98%. We proposed two training-test methods based on data augmentation to avoid over-fitting and to improve performance. The experimental results demonstrated that a data augmentation training-test method improves model performance further with regard to both accuracy and f1-score.","PeriodicalId":211080,"journal":{"name":"2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128226250","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

Misinformation Detection Using an Ensemble Method with Emphasis on Sentiment and Emotional Analyses 基于情感和情绪分析的集成方法的错误信息检测

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197706

S. E. V. S. Pillai, Wen-Chen Hu

引用次数: 1

Detection of anomalies in the HDFS dataset HDFS数据集异常检测

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197797

Marwa Chnib, Wafa Gabsi

引用次数: 0

Design and Implementation of Scientific Research Achievement Transformation System 科研成果转化系统的设计与实现

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197696

Jinbao Song, Jiahui Cai, Ran Li, Yanan Li

{"title":"Design and Implementation of Scientific Research Achievement Transformation System","authors":"Jinbao Song, Jiahui Cai, Ran Li, Yanan Li","doi":"10.1109/SERA57763.2023.10197696","DOIUrl":"https://doi.org/10.1109/SERA57763.2023.10197696","url":null,"abstract":"The characteristics of modern information dissemination are fast, convenient, timeliness and extensive. If you want to spread the scientific research achievement transformation system to more enterprise users more widely, the less operations and input of enterprise users, the better. Therefore, in the design of the scientific research achievement transformation system, the preliminary design uses less operations and shorter time to let users clearly understand the scientific research achievement transformation system. For this purpose, the scientific research achievement transformation cloud exhibition hall and the scientific research achievement transformation platform are designed to realize the dual functions of the wide dissemination of the system and the transaction of achievements. This paper firstly introduces the Taro framework and FastAPI framework of the development system, designs the functional modules of the system from user requirements, designs the relevant databases according to the attributes of existing scientific research results, and designs functional modules for enterprise users, administrators and teachers respectively. Secondly, it introduces the realization of the specific functions of the transformation system of scientific research achievements, and finally the subject is summarized.","PeriodicalId":211080,"journal":{"name":"2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133361645","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

Data-Driven Smart Manufacturing Technologies for Prop Shop Systems 用于道具商店系统的数据驱动智能制造技术

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197769

Zhicheng Xu, Weinan Gao, Zhicun Chen, Rami J. Haddad, Scot Hudson, Ezebuugo Nwaonumah, Frank Zahiri, Jeremy Johnson

引用次数: 0

Enhancing Students’ Job Seeking Process Through A Digital Badging System 通过数字徽章系统提升学生求职流程

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197817

H. Alabsi, Majed Almotairi, Yahya Alqahtani, M. Alyami

引用次数: 0

Reinforcement of Collaborative Work in the Metaverse Through Playful Activities 通过好玩的活动加强虚拟世界中的协作工作

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197690

Nicia Guillén Yparrea, Felipe Hernández-Rodríguez

{"title":"Reinforcement of Collaborative Work in the Metaverse Through Playful Activities","authors":"Nicia Guillén Yparrea, Felipe Hernández-Rodríguez","doi":"10.1109/SERA57763.2023.10197690","DOIUrl":"https://doi.org/10.1109/SERA57763.2023.10197690","url":null,"abstract":"This article explores the potential of the metaverse as a tool to reinforce collaborative work and improve student participation. A Rally was conducted as a playful activity in the metaverse, and data were collected through a validated survey to assess the impact on student motivation, participation, and collaboration. The main idea was to take advantage of the features of the metaverse to create an interactive and motivating learning environment that fosters collaboration and the exchange of ideas among students. To achieve this, interdisciplinary teams were formed that allowed students to interact and work together in problem solving and knowledge construction. The results of the research show that the use of playful activities in the metaverse improves student participation and motivation, as well as their ability to collaborate and communicate effectively. In conclusion, the proposal presented in this article offers an innovative and effective alternative for the reinforcement of collaborative work in the context of online education and collaboration.","PeriodicalId":211080,"journal":{"name":"2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117296410","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

Improve Accuracy of PC Skill Assessment Using PC Operation Log Data 利用PC操作日志数据提高PC技能评估的准确性

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197810

Haotian Yan, T. Goto, Tadaaki Kirishima, K. Tsuchida

引用次数: 0