2021 International Conference on Computer & Information Sciences (ICCOINS)最新文献

Advanced Data Analytics and Supervised Machine Learning in Optics Engineering Analysis 光学工程分析中的高级数据分析和监督机器学习

2021 International Conference on Computer & Information Sciences (ICCOINS) Pub Date : 2021-07-13 DOI: 10.1109/ICCOINS49721.2021.9497207

L. M. Choong, Wei Kuang

{"title":"Advanced Data Analytics and Supervised Machine Learning in Optics Engineering Analysis","authors":"L. M. Choong, Wei Kuang","doi":"10.1109/ICCOINS49721.2021.9497207","DOIUrl":"https://doi.org/10.1109/ICCOINS49721.2021.9497207","url":null,"abstract":"Advance data analytics and machine learning have affected almost every industry and area of scientific research, including engineering. Although limited literature of Machine Learning in optics engineering are found, Machine learning adoption has been valuable and garners a lot of interest in this field [1][2], and the rate of research in this area is growing rapidly [3]. In fiber optic transmission system, an optical transceiver is a core element, responsible for converting electrical signal to light pulses and vice versa. It comprises of housing, optoelectronic devices and PCBA, it has to undergo various characterization and tests at different stages of the manufacturing processes. Optical transceiver characterization is a very complex process with many sub-processes and parameters within those sub-processes which can lead to difficulties using traditional analytics approach. Usually, a tuning process only utilizes key parametric at the point of characterization, it may not be optimized taking considerations of other external factors e.g. product variants, components, testers, software used etc. Machine Learning shines when there are a lot of input parameters to be optimized [1]. This paper describes the application of machine learning techniques in the transmitter characterization algorithm of a high speed optical transceiver module to enhance the tuning algorithm and also improving throughput.","PeriodicalId":245662,"journal":{"name":"2021 International Conference on Computer & Information Sciences (ICCOINS)","volume":"251 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121133074","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 Effectiveness Character Value in Blended Learning 混合学习中有效性特征值分析

2021 International Conference on Computer & Information Sciences (ICCOINS) Pub Date : 2021-07-13 DOI: 10.1109/ICCOINS49721.2021.9497229

Onny Fitriana Sitorus, Afif Abdurrozak, Wan Fatimah Wan Achmad, Meyta Dwi Kurniasih, M. H. Hasan

引用次数: 0

Social Influence on the Use of Social Media Towards Environmental Sustainability Awareness in HEI 社会媒体对高校环境可持续发展意识的影响

2021 International Conference on Computer & Information Sciences (ICCOINS) Pub Date : 2021-07-13 DOI: 10.1109/ICCOINS49721.2021.9497178

Abeer Abdullah Abdulmajid Mohammed, D. D. Dominic

{"title":"Social Influence on the Use of Social Media Towards Environmental Sustainability Awareness in HEI","authors":"Abeer Abdullah Abdulmajid Mohammed, D. D. Dominic","doi":"10.1109/ICCOINS49721.2021.9497178","DOIUrl":"https://doi.org/10.1109/ICCOINS49721.2021.9497178","url":null,"abstract":"Environmental issues are a big concern for all human beings. Environmental Sustainability Awareness can play an essential role in reducing those issues. Moreover, technologies, such as social media, can contribute to rising Environmental Sustainability Awareness if used effectively. Higher education Institutes are an important sector that can educate and increase students, staff, and other stakeholders’ awareness. Therefore, the objective is to study the impact of Social Influence on using Social Media for Environmental Sustainability Awareness in Higher Education Institutes (HEIs) in Malaysia. This research is quantitative. Data will be collected using a questionnaire. Participants are HEIs stakeholders. A simple random sample method will be used. Measures will be identified. And relationships will be evaluated. The analysis will be done using Statistical Package for the Social Sciences (SPSS) and Structural Equation Modeling (SEM). This study is going to contribute to the literature through the framework. Also, report the social influence in using social media for environmental awareness. And can be used to enhance Environmental policies. It will also contribute toward achieving Sustainable development.","PeriodicalId":245662,"journal":{"name":"2021 International Conference on Computer & Information Sciences (ICCOINS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129203790","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

Factors Influencing Blockchain Adoption in Government Organization : A Proposed Framework 政府组织采用区块链的影响因素:一个拟议的框架

2021 International Conference on Computer & Information Sciences (ICCOINS) Pub Date : 2021-07-13 DOI: 10.1109/ICCOINS49721.2021.9497196

Miza Shazwani Kamarulzaman, N. H. Hassan, N. A. A. Bakar, N. Maarop, Ganthan Narayana Samy, N. Aziz

{"title":"Factors Influencing Blockchain Adoption in Government Organization : A Proposed Framework","authors":"Miza Shazwani Kamarulzaman, N. H. Hassan, N. A. A. Bakar, N. Maarop, Ganthan Narayana Samy, N. Aziz","doi":"10.1109/ICCOINS49721.2021.9497196","DOIUrl":"https://doi.org/10.1109/ICCOINS49721.2021.9497196","url":null,"abstract":"With the rapid digitalisation of the economy nowadays, it is becoming increasingly important for organisations to embrace digital innovation. The emergence of blockchain technology illustrates digital innovation's disruptive impact and, at the same time, poses challenges to organisations. This study has been assisting government organisations in blockchain adoption that is reflected in far-reaching measures in terms of technology, organisation, and environment. Based on this framework, this research builds on an empirical study to explore the technology, organisation, environment and trust adoption of blockchain technology. This proposed framework aims to assist the government in developing blockchain adoption based on the baseline theory models, which are Technology, Organization, Environment (TOE), emphasis on trust and other blockchain adoption theories. This research uses a conventional literature review to identify the factors influencing blockchain adoption. Preliminary investigation has been conducted prior to develop the proposed framework. The interview session was conducted to verify the availability of the blockchain technology in government organisations. The proposed conceptual model can be valuable to government organisations and may assist those government organisations which consider blockchain technology in the organisation to be more secure.","PeriodicalId":245662,"journal":{"name":"2021 International Conference on Computer & Information Sciences (ICCOINS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114854360","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

Fast Regression Convolutional Neural Network for Visual Crowd Counting 基于快速回归卷积神经网络的视觉人群计数

2021 International Conference on Computer & Information Sciences (ICCOINS) Pub Date : 2021-07-13 DOI: 10.1109/ICCOINS49721.2021.9497198

S. Teoh, Vooi Voon Yap, H. Nisar

引用次数: 1

The Development of the Educational Contents for Disaster Mitigation in Indonesia 印尼减灾教育内容的发展

2021 International Conference on Computer & Information Sciences (ICCOINS) Pub Date : 2021-07-13 DOI: 10.1109/ICCOINS49721.2021.9497192

Gary Foo Xiang G, K. Savita, Maythem K. Abbas, Jebul Suroso, S. Widyaningsih, Sri Suparti

{"title":"The Development of the Educational Contents for Disaster Mitigation in Indonesia","authors":"Gary Foo Xiang G, K. Savita, Maythem K. Abbas, Jebul Suroso, S. Widyaningsih, Sri Suparti","doi":"10.1109/ICCOINS49721.2021.9497192","DOIUrl":"https://doi.org/10.1109/ICCOINS49721.2021.9497192","url":null,"abstract":"Gamification understood as the use of game design elements in the other contexts for the purpose of engagement has become a hot topic in years. The role of gamification in promoting learner’ learning has been investigated empirically by many scholars. To date, mixed results about the effectiveness of gamification have been reported, and researchers frequently argue that the inappropriateness of certain techniques may have contributed to these mixed findings, especially toward disaster subject. Relatively little research that stated gamification in the disaster is an effective approach to learn the subject. Moreover, disasters and emergencies have been increasing all over the world. Disaster mitigation measures are those that eliminate or reduce the impacts and risks of hazards through proactive measures taken before an emergency or disaster occurs. Today, with technological advancement, acquiring knowledge and its application is regarded as the only effective way to prevent disasters or reducing its effects. The research also aimed to review the importance of gamification integration to support the existing education and the effect of different methods of education on disaster mitigation among Indonesia community. In this regard, having the gamification to disaster educational is possible for people to acquire and increase the level of knowledge, which in return, increases the motivation and engagement of the learner. The results showed that gamification integration positively affects learner’ learning compare to existing traditional classroom method.","PeriodicalId":245662,"journal":{"name":"2021 International Conference on Computer & Information Sciences (ICCOINS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125654213","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

Share Buyback Prediction using LSTM on Malaysian Stock Market 基于LSTM的马来西亚股票回购预测

2021 International Conference on Computer & Information Sciences (ICCOINS) Pub Date : 2021-07-13 DOI: 10.1109/ICCOINS49721.2021.9497157

Muhammad Zahid bin Hilmi, A. Mahmood, A. Moin, Toni Anwar, S. Sutrisno

引用次数: 0

Solar-Wind Hybrid Energy Generation System Maximum Power Point Tracking using Perturb and Observe (P&O) Algorithm* 基于摄动和观测(P&O)算法的太阳能-风能混合发电系统最大功率点跟踪*

2021 International Conference on Computer & Information Sciences (ICCOINS) Pub Date : 2021-07-13 DOI: 10.1109/ICCOINS49721.2021.9497152

Ibrahim Khan, R. Hussain, M. Sikander, Sheeraz Arif, Muhammad Umair

引用次数: 3

Financial Time Series Forecasting with Hybrid ARIMA-Continuous Wavelet Transform 混合arima -连续小波变换的金融时间序列预测

2021 International Conference on Computer & Information Sciences (ICCOINS) Pub Date : 2021-07-13 DOI: 10.1109/ICCOINS49721.2021.9497225

H. Lee, W. Beh, K. Lem

引用次数: 0

Investor Style in Stock Investment Decisions 股票投资决策中的投资者风格

2021 International Conference on Computer & Information Sciences (ICCOINS) Pub Date : 2021-07-13 DOI: 10.1109/ICCOINS49721.2021.9497231

Elizabeth Lucky Maretha Sitinjak, K. Haryanti, Yohanes Wisnu Djati Sasmito, Widuri Kurniasari

{"title":"Investor Style in Stock Investment Decisions","authors":"Elizabeth Lucky Maretha Sitinjak, K. Haryanti, Yohanes Wisnu Djati Sasmito, Widuri Kurniasari","doi":"10.1109/ICCOINS49721.2021.9497231","DOIUrl":"https://doi.org/10.1109/ICCOINS49721.2021.9497231","url":null,"abstract":"Every investor has different investment behavior. These differences are called investor style. Investor style can be different because of demography, personality, and different transaction times. The purpose of this study is to reduce the mistakes made by individual investors style. Some of the methods used in this research are Analytical Hierarchy Process (AHP), secondary data, Focus Group Discussion (FGD), and stock simulation with algorithm. All of these methods emphasize the decision making process when buying and selling stocks. The results provide a set of price targets and types of stocks purchased. Accounting information remains the main ingredient for making these decisions. Accounting information that is often used is Price Book Value (PBV) to select undervalued stocks. Additional results from depth interviews, average return obtained based on the time horizon, the beginning of the transaction up to 1 year has a stock return of around 2-4 percent. A time horizon of 1-3 years will get a return of around 10 percent. Time horizon of more than 3 years, stock returns will rise again. The average long-term stock investment is around 20 percent. Personalities based on Dominance, influence, Steadiness, Conscientiousness (DISC) that fit the stock investment style tend to be a precisionist personality, a style of investor that systematically follows existing trading orders. The stock simulation method also uses a trading algorithm with stages according to the AHP results, in order to be able to see the investment style of stocks in the Indonesian capital market.","PeriodicalId":245662,"journal":{"name":"2021 International Conference on Computer & Information Sciences (ICCOINS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126606662","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