2022 IEEE International Conference on Computing (ICOCO)最新文献_第2页

The Improvement of Stress Level Detection in Twitter: Imbalance Classification Using SMOTE Twitter中应力水平检测的改进:基于SMOTE的不平衡分类

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031684

Mohd Shahrul Nizam Mohd Danuri, Rohizah Abd Rahman, I. Mohamed, Azzan Amin

{"title":"The Improvement of Stress Level Detection in Twitter: Imbalance Classification Using SMOTE","authors":"Mohd Shahrul Nizam Mohd Danuri, Rohizah Abd Rahman, I. Mohamed, Azzan Amin","doi":"10.1109/ICOCO56118.2022.10031684","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031684","url":null,"abstract":"This study developed a model to improve stress level detection using Synthetic Minority Oversampling Technique (SMOTE) imbalanced data classification. SMOTE is a method to address imbalanced datasets to oversample the minority class. The data collected from Twitter may seem vague mainly due to the massive amount of data. This research used the framework model of Data, Experts Data Annotation, Text Pre-processing, and Text Representation and Classification. The Bag of Word (BoW), Term Frequency-Inverse Document Frequency (TFIDF), and Lemma were used for the text representation. The data were collected only from Twitter under certain circumstances. The Subject Matter Experts (SMEs) on mental health problems have annotated the text from the tweets based on four levels: Normal, Mild, Moderate, and Severe. The data group for the Normal stress level was relatively large compared to the other groups. Due to the imbalanced data group, the SMOTE technique was used for data argumentation. The result showed that the model classification using Support Vector Machine with SMOTE increased by improving the cardinality of the minority class label through the significant Macro Avg Recall and Macro Avg F1-Score analysis results compared to the baseline.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"16 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":"131669921","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

Preliminary Analysis on Nursing Students Intention to Use Virtual Reality Application as a Learning Tool for Basic Human Anatomy Course 护生利用虚拟现实应用作为人体解剖学基础课程学习工具意向的初步分析

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031994

H. Sulaiman, R. Ramli, Azmi Bin Mohd Yusof

{"title":"Preliminary Analysis on Nursing Students Intention to Use Virtual Reality Application as a Learning Tool for Basic Human Anatomy Course","authors":"H. Sulaiman, R. Ramli, Azmi Bin Mohd Yusof","doi":"10.1109/ICOCO56118.2022.10031994","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031994","url":null,"abstract":"Virtual Reality (VR) refers to the use of computer technology to create a simulated environment. The simulated environment can be of something that represents a real-world scenario. The rapidly changing learning landscapes also indicate that learning methods in higher education institutions must evolve to keep up with the trend of incorporating integrated technologies into the learning modules. The existence of new millennial classrooms, blended learning applications and advance learning labs have allowed lecturers to experiment with new teaching styles. Nevertheless, these facilities may not exist in all faculties due to restricted budgets and lack of resources. Healthcare related faculties have been reported to be slow in acceptance and use of technologies in teaching fundamental subjects. A common fundamental subject across all health-related studies is Basic Human Anatomy. This subject requires visualization and memorization of human body parts that would be more interesting to have the use of technology devices as the supporting learning tool. As the uptake of technology namely VR is relatively low in the health education field, it is imperative to explore the suitability of VR learning tools for the human anatomy subject. A survey was conducted to first- and second-year nursing students who have taken and currently taking the basic human anatomy course. Data was analyzed using basic descriptive statistics to gauge the intention to use virtual reality application for the course. A proposed virtual reality intention to use model is conceptualized from previous learning models and results of the survey depicting factors that would affect learning of human anatomy subject through virtual reality.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"26 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":"123046350","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

Residual Value Prediction 残值预测

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031995

Huayi Jing, Xinfeng Ye, S. Manoharan

引用次数: 0

A Framework for Supporting Deaf and Mute Learning Experience Through Extended Reality 通过扩展现实支持聋哑人学习体验的框架

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031865

S. A. Mubin, Jacob Sow Tian You, Edwin Pio Rufus Samiraj, Sharizal Pujahaas Jaafar

引用次数: 0

Age Differences Classification Associated with Corpus Callosum Measurement 胼胝体测量的年龄差异分类

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031802

Shafaf Ibrahim, Nur Aina Shahirah Mat Jelaini, Nor Azura Md. Ghani, R. Janor, Mohd Hanif Ali

{"title":"Age Differences Classification Associated with Corpus Callosum Measurement","authors":"Shafaf Ibrahim, Nur Aina Shahirah Mat Jelaini, Nor Azura Md. Ghani, R. Janor, Mohd Hanif Ali","doi":"10.1109/ICOCO56118.2022.10031802","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031802","url":null,"abstract":"A medical visualization is a tool used in medicine to detect aspects of the human body in terms of digital health. The corpus callosum is a large white matter structure that separates the two hemispheres of the brain. It is an extremely essential structural and functional component of the brain. Assessing the corpus callosum measurement could reveal the information on age differences category of each individual, as well as atypical growth such as multiple sclerosis (MS), Alzheimer’s, and autism spectrum disorder (ASD). Thus, this study proposed the use of Magnetic Resonance Imaging (MRI) sagittal brain images to classify age differences associated with corpus callosum measurement. Three age differences were studied; children (0-10 years), adolescent (10-18 years), and adult (18-25 years). The present results provided evidence that adult and children differ in terms of developmental trajectories for the brain structure, with significant age-related changes discernable from infancy to early adulthood. A few steps of MRI corpus callosum image collection, Median Filtering image enhancement, Otsu binarization, and K-Means clustering segmentation, corpus callosum measurement, and Support Vector Machine (SVM) classification were involved. The performance of the corpus callosum classification was evaluated using a confusion matrix. The overall mean percentage of accuracy reflected a very high accuracy which are 97.72%, 95.56%, and 97.72% for children, adolescent, and adult respectively. It can be deduced that the proposed techniques of corpus callosum classification are found to be successful.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"92 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":"116670573","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

Development of Tuition Centre Management System 学费中心管理系统的开发

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031819

Nur 'Amirah Binti Hanafiah, R. A. Aziz

引用次数: 0

Mapping Study of Critical Success Factor for Agile Software Project 敏捷软件项目关键成功因素的映射研究

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031946

Nurul Annisa Azhar, N. Abdullah

引用次数: 0

Review on Challenges and Solutions in Novice Programming Education 编程新手教育中的挑战与解决方案综述

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031657

Tze Ying Sim, Sian Lun Lau

{"title":"Review on Challenges and Solutions in Novice Programming Education","authors":"Tze Ying Sim, Sian Lun Lau","doi":"10.1109/ICOCO56118.2022.10031657","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031657","url":null,"abstract":"Novice programming subject refers to the first programming subject taken by a student. This is also commonly known as Computer Science 1 (CS1) subject. It is concluded that the average failure rate of a novice programming class is 30%. The systematic review collects data between 2000 and 2022 via the Scopus database. Keywords utilized were ”programming, coding, computer” and ”introductory, novice”. The first search resulted in 940 results. The second search added the focus on curriculum. This search only returned 11 results. The papers were analysed to determine if imperative-first or object-first should be adopted. The research indicates that block-based programming is mainly used in K12 education, or CS1 without programming in K12 education. Even though the programming languages used are objectoriented, the activities and class content do not focus on object-oriented programming. The main focus is still learning to solve problems, and imperative-first programming is more commonly implemented. The third search with the word challenges and difficulties returned 163 results. Further search was done for the word within abstract, returning 39 results. The findings indicate 17 research implemented imperative programming vs 1 on object. Most of the research in undergraduate studies implemented textbased programming (22 cases) vs block-based programming (5 cases). Another two observations are automated tools to support teaching and learning, especially personalizing feedback, and the social aspect of learning, for example collaborative learning. This research indicates that the trend for solution has moved from error analysis to block based programming to the future of learning tools automation.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"9 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":"132015003","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 System for Extracting Discussion Circumstances on Social Media to Promote Inexperienced Students Understand Discussion Cases 社交媒体讨论情境提取系统，促进无经验学生理解讨论案例

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031826

H. Nakayama, R. Onuma, Kota Chiba, H. Kaminaga, Y. Miyadera, Shoichi Nakamura

引用次数: 0

Unmanned Ground Vehicle Research Platform for Agricultural Environment 农业环境无人驾驶地面车辆研究平台

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031658

Bukhary Ikhwan Ismail, Shahrol Hisham Baharom, Hishamadie Ahmad, Muhammad Nurmahir Mohamad Sehmi, Mohammad Fairus Khalid

引用次数: 0