2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE)最新文献_第6页

The dilemma of online gamified learning in Malaysian educational context: A qualitative study on Malaysian university students’ perspective 马来西亚教育背景下网络游戏化学习的困境:马来西亚大学生视角的质性研究

2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2022-05-21 DOI: 10.1109/iscaie54458.2022.9794527

Darren Lim Yie, Mageswaran Sanmugam, Wan Ahmad Jaafar Wan Yahaya, Noratikah Binti Abdullah

{"title":"The dilemma of online gamified learning in Malaysian educational context: A qualitative study on Malaysian university students’ perspective","authors":"Darren Lim Yie, Mageswaran Sanmugam, Wan Ahmad Jaafar Wan Yahaya, Noratikah Binti Abdullah","doi":"10.1109/iscaie54458.2022.9794527","DOIUrl":"https://doi.org/10.1109/iscaie54458.2022.9794527","url":null,"abstract":"The situation of the Covid-19 pandemic had prompted the educational sector to conduct teaching and learning online, but such a learning environment affects students in various ways including motivation, engagement and more. Gamification, a term coined by Nick Pelling in 2002 is the concept of applying game elements and game mechanics in a non-game situation in hope of changing a person’s behaviour. The use of gamification in the learning environment by previous researchers had shown the possibility of overcoming such problems. However, with the failure of technological infrastructure in the context of Malaysia, multiple dilemmas arise. This study is done by interviewing 30 university students from the School of Educational Studies and the analysation of data is done using an inductive approach of thematic analysis. The study further discussed the dilemma faced by educators from the perspectives of students. Thus, hoping to provide certain new insight to educators and other researchers.","PeriodicalId":395670,"journal":{"name":"2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123846090","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: 3

A Cycle slip Detection Method Based on Single-frequency Dual-mode 一种基于单频双模的周跳检测方法

2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2022-05-21 DOI: 10.1109/iscaie54458.2022.9794508

Weibin Liang, Zhiming Liao, Wentao Fu, Bingye Pan

引用次数: 0

Analysis of Factors Contributing to the Difficulties in Learning Computer Programming among Non-Computer Science Students 非计算机专业学生学习计算机程序设计困难的原因分析

2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2022-05-21 DOI: 10.1109/iscaie54458.2022.9794546

Rozita Kadar, Siti Balqis Mahlan, Maisurah Shamsuddin, Jamal Othman, Naemah Abdul Wahab

{"title":"Analysis of Factors Contributing to the Difficulties in Learning Computer Programming among Non-Computer Science Students","authors":"Rozita Kadar, Siti Balqis Mahlan, Maisurah Shamsuddin, Jamal Othman, Naemah Abdul Wahab","doi":"10.1109/iscaie54458.2022.9794546","DOIUrl":"https://doi.org/10.1109/iscaie54458.2022.9794546","url":null,"abstract":"Understanding computer programming has become necessary in today’s life. In response to that, higher education institutions have begun to provide programming courses to non-computer science students. Learning programming requires a comprehensive teaching approach to generate students’ logical, creative and critical thinking. Based on past related studies, several factors have been identified to contribute to difficulties in learning computer programming including educators, students' abilities and programming nature. This paper focuses on these three factors and surveys to discover more about how these factors influence non-computer science students' ability to learn computer programming. An online survey was conducted on engineering students who have taken programming courses, which amounted to 241 students in this study. The analysis was applied to generally examine these three factors that influence students in learning programming subjects. Results showed that although students find it difficult to learn programming, most of them have no critical issues with their learning process. With these findings, it is hoped that this study can be used to improve teaching methods for programming courses to increase students' understanding and interest in the subject.","PeriodicalId":395670,"journal":{"name":"2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116014348","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: 2

Automated Tomato Grading System using Computer Vision (CV) and Deep Neural Network (DNN) Algorithm 基于计算机视觉(CV)和深度神经网络(DNN)算法的番茄自动分级系统

2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2022-05-21 DOI: 10.1109/iscaie54458.2022.9794557

W. Tan, Muhammad Amir Hakim Ismail, Z. Husin, Muhammad Luqman Yasruddin

引用次数: 1

Optimal Input Selection for Single Object Tracking using RGB-Thermal Camera rgb热像仪单目标跟踪的最优输入选择

2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2022-05-21 DOI: 10.1109/iscaie54458.2022.9794503

Siti Raihanah Abdani, Mohd Asyraf Zulkifley

{"title":"Optimal Input Selection for Single Object Tracking using RGB-Thermal Camera","authors":"Siti Raihanah Abdani, Mohd Asyraf Zulkifley","doi":"10.1109/iscaie54458.2022.9794503","DOIUrl":"https://doi.org/10.1109/iscaie54458.2022.9794503","url":null,"abstract":"In the modern era, Object tracking has been used in various intelligent applications that include surveillance, autonomous car, smart harvesting, and action recognition systems. In a video-based setting, an object tracking algorithm aims to correlate the object of interest throughout the frames by building the movement trajectory. The most popular sensing input to the tracking algorithm is the RGB channels, yet, it performs relatively poor in low lighting surroundings, especially if the object’s appearance is similar appearance to the background. Therefore, multi-modal input through a combination of RGB and thermal images has been explored to overcome the weakness of a single modality input. For a tracker that is based on the scoring output of convolutional neural networks, pre-trained weights are usually used to represent the feature extraction module. It is the norm that the weights in convolutional layers are frozen, while the parameters fitting is only done in the fully connected layers. Since the weights are pre-trained, the optimal number of channels is only three, which poses a problem for a tracker with RGB-Thermal input. Two schemes have been devised in this work, either to slice the pre-trained weights to accommodate an additional thermal channel, or to duplicate the thermal channel into a three-channel format. Hence, the performance of 4D and 6D inputs are tested on three state-of-the-art trackers, which are MDNet, TCNN, and MMCNN. The best performance result was produced by TCNN-4D with an expected average overlap of 0.2534, accuracy of 0.5963, and reliability of 0.9329. The results indicate that an optimized slicing method to select the best pre-trained weights will produce a significant tracking improvement even if fewer input channels are used. Index Terms—Single Object Tracking, RGB-Thermal Camera, Convolutional Neural Networks, Optimal Input Selection","PeriodicalId":395670,"journal":{"name":"2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130363915","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 Automated Real-Time Water Quality Monitoring and Controlling System in Aquarium 水族馆自动实时水质监测与控制系统的研制

2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2022-05-21 DOI: 10.1109/iscaie54458.2022.9794472

Muhammad Luqman Yasruddin, Muhammad Amir Hakim Ismail, Z. Husin, W. Tan

{"title":"Development of Automated Real-Time Water Quality Monitoring and Controlling System in Aquarium","authors":"Muhammad Luqman Yasruddin, Muhammad Amir Hakim Ismail, Z. Husin, W. Tan","doi":"10.1109/iscaie54458.2022.9794472","DOIUrl":"https://doi.org/10.1109/iscaie54458.2022.9794472","url":null,"abstract":"The aquaculture industry significantly impacts food and the world economy, especially in countries that depend on marine and river resources. Fish farming in large tanks is getting more attention as this can be done anywhere without searching for sea, river and pond areas. However, the water quality in the rearing tank must be monitored and controlled continuously, which causes problems because maintaining the water quality requires expertise and is time-consuming. This paper proposes an automated water quality control system consisting of various sensors, microcontrollers, servers and mobile applications that continuously monitor and control water quality. Water quality parameters are measured using sensors, and data is sent to the microcontroller. The microcontroller processes the received data simultaneously, sends it to the server, and activates the actuator based on the situation. Data on the server can be monitored and controlled by a mobile application. The system achieves an excellent real-time performance and high practicability in the future to encourage technological advancement in the aquaculture industry.","PeriodicalId":395670,"journal":{"name":"2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129809367","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: 3

Customer Interaction of OTOP-SMEs Products on Social Media using Data Mining Technique 基于数据挖掘技术的OTOP-SMEs产品在社交媒体上的客户交互

2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2022-05-21 DOI: 10.1109/iscaie54458.2022.9794530

Chinnawat Chonglomkrod, Bunyisa Saelo, Siriwan Kajornkasirat

{"title":"Customer Interaction of OTOP-SMEs Products on Social Media using Data Mining Technique","authors":"Chinnawat Chonglomkrod, Bunyisa Saelo, Siriwan Kajornkasirat","doi":"10.1109/iscaie54458.2022.9794530","DOIUrl":"https://doi.org/10.1109/iscaie54458.2022.9794530","url":null,"abstract":"This study investigated the association between the time of day for posting to sell products and the number of users interested in the post, in a Facebook group. The data were obtained for a specific Facebook group, OTOP-SMEs Surat Thani, and comprised 1,663 records from 25 March 2020 to 25 March 2021. Data mining with FP-Growth algorithm and Python programming with the Facebook scraper library were used for data pre-processing and data analysis. The results show that the time of day with most posting was from 09:01 am to 12:00 pm (22.36%), that with the posts most liked was from 09:01 am to 12:00 pm (24.76%), and that receiving the most comments was from 00:01 pm to 03:00 pm (27.03%). Association rules were mined with the FP-Growth algorithm. There were 5 association rules extracted, such as (1) if a post is created from 00:01 pm to 03:00 pm and it is commented on, it is liked with 100% confidence; and (2) if a post is created from 06:01 pm to 09:00 pm and is commented on, it is liked with 100% confidence. The results from this study can be applied in studying customer behaviors and used to plan posting for sales of OTOP and SMEs products via Facebook groups.","PeriodicalId":395670,"journal":{"name":"2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125641336","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

Chaladohn: Website for Avoiding of Online Shopping Scams in Thailand Chaladohn:防止泰国网上购物诈骗的网站

2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2022-05-21 DOI: 10.1109/iscaie54458.2022.9794538

Therdpong Daengsi, Phongsakorn Chomchuen, Phunsa Klamklomchit, Phisit Pornpongtechavanich, Khanawit Saribua, Wanvisa Thimthong, Nippol Sukniyom

{"title":"Chaladohn: Website for Avoiding of Online Shopping Scams in Thailand","authors":"Therdpong Daengsi, Phongsakorn Chomchuen, Phunsa Klamklomchit, Phisit Pornpongtechavanich, Khanawit Saribua, Wanvisa Thimthong, Nippol Sukniyom","doi":"10.1109/iscaie54458.2022.9794538","DOIUrl":"https://doi.org/10.1109/iscaie54458.2022.9794538","url":null,"abstract":"This paper presents the website called Chaladohn (cha-lad-ohn). This website was designed and developed to aid Thai victims from online scammers; a collaborative project by the Faculty of Engineering, Rajamangala University of Technology Phra Nakhon and the Investigation Division, Metropolitan Police Division 8. The major key features provided by this website are checking and alerting users about scammers from names, surnames, telephone numbers, bank accounts, and/or e-wallet accounts. Therefore, online shoppers can avoid scams if the checked results show evidence. Furthermore, users can add new lists of scammers into the database of the system when they identify themselves and provide reliable evidence. After the research and development, the website went through beta testing and received an average voting score of 4.24±0.95 out of 5 from 122 subjects, which is considered excellent. Furthermore, in real practice, police officers utilized the information from the system for arresting scammers associated with several cases within a few weeks after launching Chaladohn.","PeriodicalId":395670,"journal":{"name":"2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125692480","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: 3