2022 IEEE International Conference on Computing (ICOCO)最新文献_第7页

Answering Why? An Overview of Immersive Data Visualization Applications Using Multi-Level Typology of Visualization Task 回答为什么?基于多层次可视化任务类型的沉浸式数据可视化应用综述

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031696

Najwa Ayuni Jamaludin, Farhan Mohamed, M. Sunar, A. Selamat, O. Krejcar

引用次数: 0

A Student’s Perspective On The Evaluation Of Teaching And Learning Using Student Feedback Online (SuFO) 基于学生在线反馈的教与学评价的学生视角

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031637

Zan Azma Nasruddin, Norafifa Mohd Ariffin

{"title":"A Student’s Perspective On The Evaluation Of Teaching And Learning Using Student Feedback Online (SuFO)","authors":"Zan Azma Nasruddin, Norafifa Mohd Ariffin","doi":"10.1109/ICOCO56118.2022.10031637","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031637","url":null,"abstract":"Nowadays, students are the main stakeholders in any educational setting. They actively participate in the transmission of knowledge. The university’s future planning heavily relies on their feedback on the current teaching and learning techniques. The Learning Management System (LMS), an i-Learn system, has been used by Universiti Teknologi MARA (UiTM) to implement blended learning in their teaching and learning methods. Student Feedback Online (SuFo), which UiTM has made available to its students, allows them to evaluate the teaching and learning process. However, there are issues with the validity and reliability of the SuFo question in evaluating the course, the lecturer’s performance, the classroom environment, and scepticism in the students’ responses brought up by the previous study. Therefore, this study aims to understand how students perceive SuFo questions and investigate how students feel about SuFo questions and any potential biases in student evaluations. This study analyses data using quantitative methods and a survey along with SPSS. One hundred students from various faculties have fully responded to the survey. The results demonstrate that there are no gender-based biases in student ratings and that the students strongly agree if the SuFo questions are modified and changed. There are also some suggestions for future planning such as changes of SuFo questions and reduced the number of SuFo questions.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130242192","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

Weight Perception Simulation in Virtual Reality with Passive Force using Force Sensing Resistors 基于力感电阻的被动力虚拟现实体重感知仿真

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031797

Woan Ning Lim, Yunli Lee, K. Yap, Ching-Chiuan Yen

{"title":"Weight Perception Simulation in Virtual Reality with Passive Force using Force Sensing Resistors","authors":"Woan Ning Lim, Yunli Lee, K. Yap, Ching-Chiuan Yen","doi":"10.1109/ICOCO56118.2022.10031797","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031797","url":null,"abstract":"There is a rise of interest in promoting Virtual Reality (VR) in many industries since the VR headsets released as consumer products and getting affordable. The advantage of VR lies in its capability in creating a sense of presence and immersion, however it is still a major challenge to enable humans to feel the weight of the object in VR. There have been remarkable advancements in the development of haptic interfaces throughout the years. However, a number of challenges limit the progression to enable humans to sense the weight of virtual objects. Pseudo-haptic approach is a less costly alternative with better mobility compared to haptic interfaces. It is a software approach seeks to use the overall dominance of the visual system to create haptic illusions to render the perception of weight. In this paper, a pseudo-haptic model using passive force to simulate weight perception is proposed. The hand pressures are captured during the interaction to simulate the objects’ behavior to create the pseudo-weight illusion. The design and implementation of the force detection and visual feedback modules are discussed, and the preliminary evaluations of the force sensing resistors are presented.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116400489","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

Evaluating the Predictive Ability of the Bipartite Dengue Contact Network Model 登革热二部接触网络模型的预测能力评价

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031962

J. Labadin, B. H. Hong, W. Tiong, B. Gill, D. Perera, A. Rigit, Sarbhan Singh, Tan Cia Vei, S. M. Ghazali, J. Jelip, Norhayati Mokhtar, Wan Ming Keong

{"title":"Evaluating the Predictive Ability of the Bipartite Dengue Contact Network Model","authors":"J. Labadin, B. H. Hong, W. Tiong, B. Gill, D. Perera, A. Rigit, Sarbhan Singh, Tan Cia Vei, S. M. Ghazali, J. Jelip, Norhayati Mokhtar, Wan Ming Keong","doi":"10.1109/ICOCO56118.2022.10031962","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031962","url":null,"abstract":"This paper presents the predictive power analysis of the bipartite dengue contact (BDC) network model for identifying the source of dengue infection, defined as dengue hotspot. This BDC network model was earlier formulated, verified and validated using data collected in Sarawak, Malaysia. Then, a web-based BDC network system was implemented and subsequently tested by 7 other areas in Malaysia. The data collected using the system was then used to further evaluate the predictive ability of the BDC network model. The validity period of the dengue hotspots identified by the BDC network model was measured based on the accuracy of the predictive power analysis and Spearman’s Rank Correlation Coefficient (SRCC). Based on the results, using prior one-week data was sufficient to predict the dengue hotspot for the following week and subsequent two weeks. This shows that the hotspots are valid for two weeks. The accuracy for the outbreak areas is above 60%. Most of the model reported an SRCC above 0.70 which indicated a strong positive relationship between the hotspots in the targeted model and the validated model. Due to the accuracy and SRCC values obtained, it is suggested that the BDC network model can proceed further with retrospective data for other dengue outbreak areas in Malaysia and a prospective study for the areas that participated in this study.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128783399","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

Analysis of Articles that Correct Other Posts on Social Media Aimed at Promoting the Experience in Examining Fakes 社交媒体上纠正他人帖子的文章分析，旨在提升审假经验

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031731

R. Onuma, H. Kaminaga, H. Nakayama, Y. Miyadera, Keito Suzuki, Shoichi Nakamura

{"title":"Analysis of Articles that Correct Other Posts on Social Media Aimed at Promoting the Experience in Examining Fakes","authors":"R. Onuma, H. Kaminaga, H. Nakayama, Y. Miyadera, Keito Suzuki, Shoichi Nakamura","doi":"10.1109/ICOCO56118.2022.10031731","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031731","url":null,"abstract":"Social media is increasingly being used as a tool to gather a wide variety of information. However, there are fake articles on social networking services mixed in with useful posts. It is desirable for users to use social networking services while determining the truth or falsity of articles. However, such judgement is difficult for inexperienced users since the skills to determine the authenticity of articles should be obtained by a stacking of experiences. In this research, we aim to develop methods for gaining experience with examining fake articles by suggesting noteworthy articles on the basis of an analysis of others’ responses to the articles. This paper describes methods for extracting articles that correct other posts on the basis of the characteristics of people’s responses to articles on social networking services and for extracting candidates for fake articles by analyzing such articles. Finally, we describe an experiment using a prototype system and discuss the effectiveness of our system as based on its results.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132791689","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 Comparative Study of Monolithic and Microservices Architectures in Machine Learning Scenarios 机器学习场景中单片和微服务架构的比较研究

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031648

S. Kleftakis, Argyro Mavrogiorgou, N. Zafeiropoulos, Konstantinos Mavrogiorgos, Athanasios Kiourtis, D. Kyriazis

{"title":"A Comparative Study of Monolithic and Microservices Architectures in Machine Learning Scenarios","authors":"S. Kleftakis, Argyro Mavrogiorgou, N. Zafeiropoulos, Konstantinos Mavrogiorgos, Athanasios Kiourtis, D. Kyriazis","doi":"10.1109/ICOCO56118.2022.10031648","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031648","url":null,"abstract":"Choosing the most suitable architecture for applications is not an easy decision. While the software giants have almost all put in place the microservices architecture, on smaller platforms such decision it is not so obvious. In the healthcare domain and specifically when accomplishing Machine Learning (ML) tasks in this domain, considering its special characteristics, the decision should be made based on specific metrics. In the context of the beHEALTHIER platform, a platform that is able to handle heterogeneous healthcare data towards their successful management and analysis by applying various ML tasks, such research gap was fully investigated. There has been conducted an experiment by installing the platform in three (3) different architectural ways, referring to the monolithic architecture, the clustered microservices architecture exploiting docker compose, and the microservices architecture exploiting Kubernetes cluster. For these three (3) environments, time-based measurements were made for each Application Programming Interface (API) of the diverse platform’s functionalities (i.e., components) and useful conclusions were drawn towards the adoption of the most suitable software architecture.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114150868","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

Experimental Analysis of U-Net and Mask R-CNN for Segmentation of Synthetic Liquid Spray U-Net和掩模R-CNN用于合成液体喷雾分割的实验分析

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031951

Refat Khan Pathan, Wei Lun Lim, Sian Lun Lau, C. Ho, P. Khare, R. Koneru

引用次数: 1

A Hybrid Prioritization Approach by integrating non-Functional and Functional User Stories in Agile-Scrum Software Development (i-USPA):A preliminary study 通过在敏捷- scrum软件开发(i-USPA)中集成非功能和功能用户故事的混合优先级方法:初步研究

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031863

N. Borhan, H. Zulzalil, Sa’adah Hassan, Norhayati Mohd. Ali

{"title":"A Hybrid Prioritization Approach by integrating non-Functional and Functional User Stories in Agile-Scrum Software Development (i-USPA):A preliminary study","authors":"N. Borhan, H. Zulzalil, Sa’adah Hassan, Norhayati Mohd. Ali","doi":"10.1109/ICOCO56118.2022.10031863","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031863","url":null,"abstract":"Due to its significance in the creation of software projects, the Agile-Scrum methodology has only lately become well-known in the field of software development. The Scrum technique, which is a process that gradually, iteratively, and continuously provides software based on time boxes, is another study that supports agile practitioners’ recent shift towards this method (sprints). It consists of user stories that are delivered during sprints by a Scrum team made up of team members, a Scrum Master, and a Product Owner. User stories are kept in product backlogs. The integrated needs prioritization methodologies have been created by a small number of scholars. However, the majority of the research is on non-agile software development. The prioritization of both functional and nonfunctional user stories simultaneously during Agile-Scrum Software Development (ASSD) is one of the main gaps that has been ignored by all of these methodologies, according to the literature review conducted by the researchers. The purpose of this study is to outline a research plan for creating an integrated user story prioritizing approach that combines non-functional and functional user stories of the ASSD (i-USPA). The preliminary findings demonstrate the critical importance of understanding the significance of non-functional user stories or requirements during the early stages of software development using the agile methodology, particularly in ASSD, in order to produce high-quality software while staying within budget and time constraints. The data was acquired from a small group of experts or software practitioners who use Agile, particularly the Scrum technique, in their organizations.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126396155","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

Industry Recommendation for Undergraduate Internship using Decision Tree 基于决策树的大学生实习行业推荐

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031980

Intan Norsyafiqa Kamalbahrin, H. M. Hanum, N. Abdullah, Noor Latiffah Adam, N. Kamal, Z. Bakar

{"title":"Industry Recommendation for Undergraduate Internship using Decision Tree","authors":"Intan Norsyafiqa Kamalbahrin, H. M. Hanum, N. Abdullah, Noor Latiffah Adam, N. Kamal, Z. Bakar","doi":"10.1109/ICOCO56118.2022.10031980","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031980","url":null,"abstract":"The process of matching student profiles to industry profiles is critical to ensuring that students are placed in industries that are a good fit for their program. Therefore, to solve this problem, a system is presented that will give suggestions on suitable industrial types and internship placement from companies in the suggested industry for undergraduate students. This project maps student profiles from seven computer science programs and seven industrial types. There are 284 sample profiles collected from undergraduate students of Universiti Teknologi MARA. The profiles are gathered from previous records of placement for internship training. A decision tree model is constructed based on the sample profiles. The student’s Cumulative Grade Point Average (CGPA) and registered program are used as the main feature of industry recommendation. As a result, a web-based system for mapping students’ profiles to industries’ profiles has been developed. The application stores students’ and industries’ profiles and recommends suitable industries for each student’s profile.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"547 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116376108","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

ARventure: Edutainment Meets Science Mobile Application ARventure:寓教于乐满足科学移动应用

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031868

Nurul Nabilah Izzati Binti Ridzuan, Nurfauza Binti Jali, S. K. Jali, Mohamad Imran Bandan, Adrus Bin Mohamad Tazuddin, Lim Phei Chin

{"title":"ARventure: Edutainment Meets Science Mobile Application","authors":"Nurul Nabilah Izzati Binti Ridzuan, Nurfauza Binti Jali, S. K. Jali, Mohamad Imran Bandan, Adrus Bin Mohamad Tazuddin, Lim Phei Chin","doi":"10.1109/ICOCO56118.2022.10031868","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031868","url":null,"abstract":"Despite continuous growth in STEM-associated industries, the number of students pursuing Science, Technology, Engineering, and Mathematics (STEM) related subjects is declining. The implementation of Augmented Reality (AR) in education has the potential to improve not just the students’ conceptual comprehension and knowledge but also critical abilities like problem-solving, cooperation, and communication. This study intends to demonstrate how a mobile application embedded with AR that uses an educational scrapbook as its AR marker platform can improve the learning experience of secondary Malaysian secondary school students studying Science. 30 students across Malaysia were recruited. Their responses were analysed to determine whether the notion of employing a mobile application and scrapbook was feasible. Overall, the System Usability Scale (SUS) results were encouraging (mean=69.83, SD=13.36, n=30), suggesting the possibility of integrating AR as part of the learning medium that could improve the learning experience in Science subjects.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123497878","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