{"title":"Problematic Use of Live Video Streaming Services: Impact of Personality Traits, Psychological Factors, and Motivations","authors":"S. Cheng, Shao-Liang Chang, Chi-Ying Chen","doi":"10.1145/3316615.3316620","DOIUrl":"https://doi.org/10.1145/3316615.3316620","url":null,"abstract":"As technology grows, live video streaming services become a new form of social media, in which everyone is able to live webcast and interact with audiences. Statistics indicate that Internet audiences are viewing more live content than ever before. It is noteworthy live video streaming viewing may become a new form of addicted behavior of technology but literature on such subject is very limited. The purpose of this research is to explore the factors for addictive use of live video streaming services. A total of 338 participants were recruited via an online survey that was designed with five subscales: demographics, psychological factors (life satisfaction and loneliness), Big Five personality traits, motivations, and problematic use of live video streaming services. Results indicated age was not related to addiction, but gender and average watching time per day were related. The personality of agreeableness was negatively related and neuroticism was positively related with the addiction. Motivations for interaction, escapism, and peeking were found related to the addiction.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129050194","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}
{"title":"Dashboard-based Alumni Tracer Study Report Using Normalized Data Store Architecture","authors":"Asroni, Juanita Yusanti, S. Riyadi","doi":"10.1145/3316615.3316635","DOIUrl":"https://doi.org/10.1145/3316615.3316635","url":null,"abstract":"Universitas Muhammadiyah Yogyakarta is one of the universities in Indonesia. Every college must have graduated or called alumni. Alumni have an essential role in the development of educational institutions. Currently, alumni are used as one of the requirements for the university accreditation process by BAN-PT as evaluation material, therefore the importance of alumni monitoring or information, UMY has a tracer study to monitor alumni information using a questionnaire. However, to obtain data from the survey, it is still having trouble because the data is not yet integrated. Integrated data is collected by building a data warehouse. This research develops a data warehouse using NDS architecture, and There is some noise was found that need to be cleaned, such as null data and duplication of data. data warehouse alumni have been built, and it can meet the requirements of the institution that are displayed in a report to make it easier to analyze reports, the news is made into a dashboard form that is enhanced using Power BI applications.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128305646","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}
S. Ullah, M. Asif, Shahbaz Ahmad, Ulfat Imdad, O. Sohaib
{"title":"Application of Data Science for Controlling Energy Crises: A Case Study of Pakistan","authors":"S. Ullah, M. Asif, Shahbaz Ahmad, Ulfat Imdad, O. Sohaib","doi":"10.1145/3316615.3316616","DOIUrl":"https://doi.org/10.1145/3316615.3316616","url":null,"abstract":"Today Pakistan is facing numerous challenges for the interconnection of local energy resources and for balanced energy policies. Data Science, Big Data, Artificial Intelligence (AI), IoT and Cloud computing draws our focus towards controlling energy crises in terms of smart energy generation, consumption and to overcome causes of energy crises. To make a conclusion valuable we have to extract significant value from a large amount of data that's why data management plays a significant role. This Paper presents a review of energy sectors, energy resources, energy crises in Pakistan. It also presents the possible solution of energy crises with the help of data science application and the involvement of Big Data, Cloud computing, IoT and AI.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121369368","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}
S. Rajapaksa, W. Rasanjana, I. Perera, D. Meedeniya
{"title":"GPU Accelerated Maximum Likelihood Analysis for Phylogenetic Inference","authors":"S. Rajapaksa, W. Rasanjana, I. Perera, D. Meedeniya","doi":"10.1145/3316615.3316630","DOIUrl":"https://doi.org/10.1145/3316615.3316630","url":null,"abstract":"With the advancement of biology and computer science, the amount of DNA sequences has grown at a rapid rate giving rise to the analysis of phylogenetic trees with many taxa. The maximum likelihood analysis is commonly considered as the best approach in phylogenetic analyses, which is extremely intensive for computation. Availability of computer resources and the application of modern technologies are key factors that determine the use of such analyses. The paper presents a parallel implementation of a GPU accelerated maximum likelihood inference of phylogenetic trees on DNAml program of the PHYLIP package. The improved DNAml program uses both GPU and CPU processing to perform compute-intensive tasks in phylogenetic analyses. The evaluation results show a speedup of x2.94 for the GPU accelerated DNAml program than the existing program. As the results show the proposed system saves the processing time increasingly against the current system with the number of taxa.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116264665","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}
Mohammed A. Al-Sharafi, Ruzaini bin Abdullah Arshah, E. Abu-Shanab
{"title":"Questionnaire Development Process to Measure the SMEs' Continuous Use behavior towards Cloud Computing Services","authors":"Mohammed A. Al-Sharafi, Ruzaini bin Abdullah Arshah, E. Abu-Shanab","doi":"10.1145/3316615.3316723","DOIUrl":"https://doi.org/10.1145/3316615.3316723","url":null,"abstract":"In the business world, cloud computing (CC) technologies are emerging computing platforms used to improve the deployment of ICT services with the aim of improving performance and competitive advantage. However, enough attention has not been given to the factors that influence the continuous use behavior of organizations towards CC services. Hence, this study aims to develop a reliable and valid questionnaire for the determination of the continuous use behavior of SMEs towards CC services. The questionnaire used in this study passed through three basic steps in accordance to the established scale development guidelines provided by Moore and Benbasat [1]. The questionnaire included three main sections with 87 questions. The questionnaire serves as a tool that will help SMEs and CC service providers to plan their strategies for providing a supportive sustained use of CC services in Malaysia.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127217750","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}
Samer Muthana Sarsam, H. Al-Samarraie, Bahiyah Omar
{"title":"Geo-spatial-based Emotions: A Mechanism for Event Detection in Microblogs","authors":"Samer Muthana Sarsam, H. Al-Samarraie, Bahiyah Omar","doi":"10.1145/3316615.3316640","DOIUrl":"https://doi.org/10.1145/3316615.3316640","url":null,"abstract":"The use of emotions in microblogs to trace the occurrence of certain events and determine their locations is an open challenge for sentiment analysis. This study investigated the potential of detecting the geographical location of events based on existing linkages between the types of emotion embedded in tweets (degree of polarity) and the source location of those tweets. The extracted tweets were clustered using K-means algorithm and a predictive model was developed using Naïve Bayes algorithm. Then, a time series forecasting technique was applied using linear regression analysis. This method was used to predict the amount of emotions in association with the event of interest. Latitude and longitude were used to evaluate the results of the linear regression model on a real-time world map. Results showed that happy emotion tends to be a reliable source for detecting the geographical location of an event. This study revealed the feasibility of using the time series forecasting approach in investigating the degree of emotions in twitter messages.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127232600","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}
Ngo Tung Son, Le Phuong Chi, Phan Truong Lam, Tran Van Dinh
{"title":"Combination of Facial Recognition and Interaction with Academic Portal in Automatic Attendance System","authors":"Ngo Tung Son, Le Phuong Chi, Phan Truong Lam, Tran Van Dinh","doi":"10.1145/3316615.3316638","DOIUrl":"https://doi.org/10.1145/3316615.3316638","url":null,"abstract":"The computer vision has been advancing rapidly recently and it has become necessary to use the technology in the education area. As a part of it, the application of facial recognition technology plays an important role in building the intelligent education system, where teaching and learning can be measured to support quality improvement. The required-attendance taking activity at the schools is one of the important parts of the teaching process. The traditional attendance method causes several inconveniences such as wasting time and effort, easy to mistake and difficult to verify. In this paper, we introduce an automatic attendance system based on the combination of facial recognition technology and interaction with the existing academic portal. We conducted a review of several modern methods to select the most suitable open framework for individual tasks. Our proposed design is flexible and be able to apply to the large-scale set of students without compromising predictive accuracy. We have tested the system on more than 2200 freshmen at FPT University in Hanoi, Vietnam. Initial numerical results show the effectiveness in both aspects of the accuracy and performance of the prototype.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130840723","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}
{"title":"Proposing a Development of Geolocation Mobile Application for Airport Pickup of International Students PickUp","authors":"Zafeera Rashid, C. S. Mon, Raenu Kolandaisamy","doi":"10.1145/3316615.3316639","DOIUrl":"https://doi.org/10.1145/3316615.3316639","url":null,"abstract":"This paper proposes an idea of development of an android App, PickUp to improve the airport arrival for new international students of Malaysia private higher learning institute. It intends to reduce the waiting time for international students at the airport when they arrive in Malaysia, thereby to stimulate sharing of updated information between the driver who is responsible for the pickup and the new students. It would inform the students about the estimated arrival time of the drivers and they can track the driver on google maps using this proposed idea of a mobile app. This proposed idea of mobile app would specifically to be used by students and drivers of private higher learning institute in Malaysia. Any changes in the scheduled arrival time for driver would be updated in the app and the students would be notified. Continuous alerts would be sent in case of delays or changes. Divers' locations and routes are shown on real time maps using Google maps. The application will be structured and tested where the users will be assured that the application gives the real time service which will be extremely useful for them.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131234223","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}
{"title":"SGApps","authors":"Mimi Rosnida Osman, M. M. Yusof, Hanayanti Hafit","doi":"10.1145/3316615.3316649","DOIUrl":"https://doi.org/10.1145/3316615.3316649","url":null,"abstract":"The disease often suffered by Sugar Glider shown in terms of physical condition. However, the illness is often undetected by Sugar Glider owner until it reaches a serious stage and only began to be noticed after consulting with veterinary doctors. Therefore, this expert system allows the owner of Sugar Glider makes a preliminary diagnosis by selecting its symptoms. Selected symptoms will produce result contain diseases and treatment methods. Development of a knowledge base about the symptoms, diagnosis and treatment method for Expert System Apps for Diagnosing Sugar Glider Diseases (SGApps) have involvement and cooperation from one of the lecturer in Faculty of Veterinary Medicine, University Putra Malaysia. Knowledge engineering model has been chosen as methodology while forward chaining as the inference method. Atom software, the Apache server and MySQL database are implemented to develop a web-based system for the administrator. Next, Bootstrap software is used as a development platform for android, MySQL as database and Visual Studio as a compiler. Usability test by doctor suggests that this expert system can produce suitable diagnosis results that match the input symptoms. While usability testing with the owner of Sugar Glider show this android based expert system can provide information on proper care of the Sugar Glider. Finally, the system can allow users to ask any questions directly to the veterinarians.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115026645","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}
{"title":"DCA-Based Algorithm for Cross-Functional Team Selection","authors":"Ngo Tung Son, Tran Thi Thuy, Bui Ngoc Anh, Tran Van Dinh","doi":"10.1145/3316615.3316645","DOIUrl":"https://doi.org/10.1145/3316615.3316645","url":null,"abstract":"This is a continuing work of Ngo et al, 2018 [1]. They have proposed a mixed binary integer quadratic programming (MIQP) model for cross-functional team selection. The model called Minimum distance to the boundary, MDSB. It is not only specific to team selection but also a generic model for other problems that in form of searching for the best-matched candidate to a predefined target. Ngo et al designed a generic algorithm (GA) for solving MDSB. The GA algorithm is efficient but it also comes with several disadvantages. In this paper, we propose a DCA-based algorithm to solve the MDSB. We compared the proposed algorithm with MIQP-CPLEX and Genetic Algorithm. The numerical results show that our algorithm not only provides the best objective value but also significantly faster than the other compared algorithms.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123428640","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}