{"title":"The Pro-environmental Behaviour and the Effect of COVID-19 Pandemic in Malaysia on Green IT Practices","authors":"Kesava Rao Alla, Z. Hassan, Soong Der Chen","doi":"10.1109/ICCI51257.2020.9247762","DOIUrl":"https://doi.org/10.1109/ICCI51257.2020.9247762","url":null,"abstract":"The COVID-19 pandemic has caused disruption to human life throughout the world in 2020. This virus has recorded above 21 Million infected cases and 750,000 deaths by early August 2020 [7]. As there is no cure and vaccine available yet, this unprecedented infectious virus is still claiming its toll on daily basis. The year 2020 will be remembered throughout the world for the pandemic and is the same in Malaysia too. Malaysia observed stringent movement control orders (MCO) by locking down the economy from March 18th, 2020. This has greatly reduced the carbon emissions by commercial/ educational entities throughout the country. At the same time, since people were required to stay home and the use of communication and work channels through digital platforms escalated, it has caused the surge in the residential network and energy demand to the peak. The online meetings and the Direct-to-Home (DTH) connections caused enormous load on the network infrastructure and the related energy surge. This study is an attempt to study the effects of pro-environmental behaviour and the Green IT practices during the lockdown period through applying the Protection Motivation Theory (PMT). Our research indicated that the constructs of PMT has the significant capability to define the pro-environmental behaviour in the individuals. The PMT constructs, ‘self-efficacy’ and ‘response-efficacy’, along with the extrinsic and intrinsic rewards of intentions can derive pro-environmental behaviour in the given circumstances related to this study.","PeriodicalId":194158,"journal":{"name":"2020 International Conference on Computational Intelligence (ICCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131036568","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}
Naga Sunil Kumar Gandikota, M. H. Hasan, J. Jaafar
{"title":"Comparison between Conventional and Fuzzy Hypotheses Test Results for Parameter Treatment Effect for Heart Patients","authors":"Naga Sunil Kumar Gandikota, M. H. Hasan, J. Jaafar","doi":"10.1109/ICCI51257.2020.9247733","DOIUrl":"https://doi.org/10.1109/ICCI51257.2020.9247733","url":null,"abstract":"In the traditional hypotheses test, hypotheses are crisp. In this paper, we consider the hypotheses test for unknown mean in normal populations with fuzzy data when the standard deviation of the population is known. This paper aims to distinguish various parameter effects on clinical Heart Patients with Two-way Anova, and in this fuzzy test, we will make a fuzzy decision for rejection or acceptance null hypothesis on various parameters of clinical data of Heart Patients with Fuzzy p-value and compared the results with the conventional hypothesis test results. These results will be a benchmark for new patients (same characteristics as the old patients) to treat them in a better way.","PeriodicalId":194158,"journal":{"name":"2020 International Conference on Computational Intelligence (ICCI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133263555","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}