2022 IEEE International Conference on Computing (ICOCO)最新文献_第3页

Impact of Digitalization in Construction: Enriching As-built Facilities and Operations using BIM 数字化对建筑的影响:利用BIM丰富已建成设施和运营

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031694

H. Biswas, Sian Lun Lau, Tze Ying Sim

{"title":"Impact of Digitalization in Construction: Enriching As-built Facilities and Operations using BIM","authors":"H. Biswas, Sian Lun Lau, Tze Ying Sim","doi":"10.1109/ICOCO56118.2022.10031694","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031694","url":null,"abstract":"3D Terrestrial Laser Scanning (TLS) technology has achieved massive acceptance to produce and visualise the 3D point clouds of existing facilities in the Architectural, Engineering and construction (AEC) industry. In addition, Building Information Modelling (BIM) is also well recognised to digitalise every component of actual buildings. Integration of TLS and BIM has been established as a disruptive technology to increase the quality and performance of the construction industry. Apart from all these recognised contributions of using the technologies, significant flaws in creating 3D BIM models of existing facilities must be addressed to improve the functionalities and operations in the facility management system. It is worth mentioning that the effective geometric modelling and semantic-rich object recognitions of existing construction buildings (behind the concrete wall) and point cloud overlapping are challenging issues in laser scanning technologies that ultimately lead to incomplete BIM models of as-built facilities. In this study, the contribution to the knowledge gap is represented by considering the two real case studies of existing facilities to optimise facility management and operations in the construction industry. Nevertheless, the main focus of this research is to introduce the current challenges in generating an effective 3D BIM model for the existing buildings satisfying the specified specifications and standards. Further research should consider the issues and more robust and effective evaluation procedures for the larger-scale real case containing more complex and hidden objects.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"34 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":"127232612","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

Automatic Keyword Extraction for Viewport Prediction of 360-degree Virtual Tourism Video 360度虚拟旅游视频视口预测关键字自动提取

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10032026

Long Doan, Tho Nguyen Duc, Chuanzhe Jing, E. Kamioka, Phan Xuan Tan

{"title":"Automatic Keyword Extraction for Viewport Prediction of 360-degree Virtual Tourism Video","authors":"Long Doan, Tho Nguyen Duc, Chuanzhe Jing, E. Kamioka, Phan Xuan Tan","doi":"10.1109/ICOCO56118.2022.10032026","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10032026","url":null,"abstract":"In 360-degree streaming videos, viewport prediction can reduce the bandwidth needed during the stream while still maintaining a quality experience for the users by streaming only the area that is visible to the user. Existing research in viewport prediction aims to predict the user’s viewport with data from the user’s head movement trajectory, video saliency, and subtitles of the video. While these subtitles can contain much information necessary for viewport prediction, previous studies can only extract these information manually, which requires in-depth knowledge about the topic of the video. Moreover, extracting these information by hand can still miss some important keywords from the subtitles and limit the accuracy of the viewport prediction. In this paper, we focus on automate this extraction process by proposing three types of automatic keyword extraction methods, namely Adverb, NER (Named entity recognition) and Adverb+NER. We provide an analysis to demonstrate the effectiveness of our automatic methods compared to extracting important keywords by hand. We also incorporate our methods into an existing viewport prediction model to improve prediction accuracy. The experimental results show that the model with our automatic keyword extraction methods outperforms baseline methods which only use manually extracted information.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"89 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":"128943101","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

Blockchain Technologies in e-Government Services: A Literature Review 电子政务服务中的区块链技术:文献综述

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031634

Salfarina Abdullah, Al Dulaimi Moatasem Abdulmajeed Alwan, Y. Y. Jusoh

{"title":"Blockchain Technologies in e-Government Services: A Literature Review","authors":"Salfarina Abdullah, Al Dulaimi Moatasem Abdulmajeed Alwan, Y. Y. Jusoh","doi":"10.1109/ICOCO56118.2022.10031634","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031634","url":null,"abstract":"The efficiency of blockchain technologies in managing transactions using distributed ledgers provides new age of government services. This enhances citizen-government transparency to establish public-sector trust by preventing fraud. However, using and adopting blockchain in e-Government context was insufficiently explored in previously published literatures. This paper systematically reviews relevant works to illustrate blockchain issues, challenges, while detecting the new directions for future research of using blockchain applications in e-Government. Discussed literatures explained that adopting blockchain applications to build e-Government services still has obvious lack in empirical evidence. Predominantly, major challenges facing blockchain adoption are summarized in scalability, flexibility and security aspects. organizationally, acceptability issues in blockchain and demanding new models of e-government are illustrated as major obstacles against the adoption. Furthermore, the lack in legislations and helping regulatory represents the major environmental obstacles against the adoption.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"3 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":"127452316","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 Identification of Stumbles in Construction of Program Logic that Does Not Appear as Compilation Errors 程序逻辑构造中不显示为编译错误的错误识别系统

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031920

Shoichi Nakamura, H. Nakayama, R. Onuma, Junichi Tachibana, H. Kaminaga, Y. Miyadera

引用次数: 0

Geotagging for Malay documents using Name-Entity Recognition Approach 使用名称-实体识别方法的马来文文件地理标记

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031639

Muhammad Syahir Nazarudin, H. M. Hanum, S. A. Rahman, S. Mutalib

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

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 Systematic Review on English Language e-Learning Technologies 英语电子学习技术的系统综述

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031709

Evelyn Yeap Ewe Lin, Kok Cheng Lim, M. A. Faudzi, Mohd Hazli Mohamed Zabil, Ridha Omar, A. Selamat, O. Krejcar

引用次数: 0

Machine Learning-based Anomaly Detection in ZigBee Networks 基于机器学习的ZigBee网络异常检测

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031837

Tomoya Oshio, Satoshi Okada, Takuho Mitsunaga

{"title":"Machine Learning-based Anomaly Detection in ZigBee Networks","authors":"Tomoya Oshio, Satoshi Okada, Takuho Mitsunaga","doi":"10.1109/ICOCO56118.2022.10031837","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031837","url":null,"abstract":"With the development of information technology, IoT devices are spreading rapidly. ZigBee is one of the short-range wireless communication standards used in IoT devices and is expected to be used in smart homes and industrial control systems because of its low power consumption and low-cost operation despite its low communication speed. However, ZigBee can be subject to cyber-attacks because eavesdropping on packets and sending forged packets against wireless communication is easier than wired ones. In order to use ZigBee safely in smart home and industrial control systems, it is necessary to develop a method to detect cyber-attacks quickly. In this paper, we propose a machine learning-based anomaly detection system for Zigbee networks. We focus on characteristics of ZigBee communication and investigate a method to detect network anomalies and cyber attacks on ZigBee networks using machine learning. Furthermore, since we primarily put emphasis on practicality, our proposed system is simple and consists of widely used tools such as Wireshark. To evaluate the detection accuracy of our proposed system, we conduct some experiments. As a result, it is shown that our proposed system can detect attacks with high accuracy. In addition, we varied the features used in machine learning and discuss which feature has a high contribution to anomaly detection.","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":"133442135","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: 4

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