Pub Date : 2020-12-01DOI: 10.1109/CSCI51800.2020.00079
Ashrf Althbiti, Rayan Alshamrani, Xiaogang Ma
As a result of the ever-increasing number of available items in e-services, users are often overwhelmed. Therefore, it is essential to develop and apply algorithms to address the challenge of selection overload. Collaborative Filtering (CF) systems have been developed to help users to find what they might be interested in among a range of available selections. Moreover, CF systems have been widely discussed as an efficient approach to cope with the selection overload issue. This paper presents a literature review of the common CF techniques and data mining techniques used for CF.
{"title":"A Literature Review of Data Mining Techniques Used in Collaborative Filtering Recommender Systems","authors":"Ashrf Althbiti, Rayan Alshamrani, Xiaogang Ma","doi":"10.1109/CSCI51800.2020.00079","DOIUrl":"https://doi.org/10.1109/CSCI51800.2020.00079","url":null,"abstract":"As a result of the ever-increasing number of available items in e-services, users are often overwhelmed. Therefore, it is essential to develop and apply algorithms to address the challenge of selection overload. Collaborative Filtering (CF) systems have been developed to help users to find what they might be interested in among a range of available selections. Moreover, CF systems have been widely discussed as an efficient approach to cope with the selection overload issue. This paper presents a literature review of the common CF techniques and data mining techniques used for CF.","PeriodicalId":336929,"journal":{"name":"2020 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131423738","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}
Pub Date : 2020-12-01DOI: 10.1109/CSCI51800.2020.00155
Trasha Gupta, Rajni Jindal, S. Indu
The lifestyle led by today’s generation leads to the development of many chronic diseases. Such diseases rank amongst the first ten causes of death. To increase life’s expectancy, a technology like thermography is required to monitor the health and identify the early signs of abnormality in the body. In this paper, we have studied the effectiveness of Thermography with Artificial Intelligence-based techniques for three different diseases and achieved an accuracy of 91.42%, 93.47%, 88.57% for DMR-IR, DB-FOOT-PLANTAR, TH-NOD-DB, respectively.
{"title":"Empirical Analysis of Thermography Effectiveness for Health Diagnosis","authors":"Trasha Gupta, Rajni Jindal, S. Indu","doi":"10.1109/CSCI51800.2020.00155","DOIUrl":"https://doi.org/10.1109/CSCI51800.2020.00155","url":null,"abstract":"The lifestyle led by today’s generation leads to the development of many chronic diseases. Such diseases rank amongst the first ten causes of death. To increase life’s expectancy, a technology like thermography is required to monitor the health and identify the early signs of abnormality in the body. In this paper, we have studied the effectiveness of Thermography with Artificial Intelligence-based techniques for three different diseases and achieved an accuracy of 91.42%, 93.47%, 88.57% for DMR-IR, DB-FOOT-PLANTAR, TH-NOD-DB, respectively.","PeriodicalId":336929,"journal":{"name":"2020 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131486749","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}
Pub Date : 2020-12-01DOI: 10.1109/csci51800.2020.00203
Yui Tanaka, T. Fujimoto
In recent years, telecommuting, business trips, and studying abroad have become quite common. Against this backdrop, improvement in ways of long-distance communication such as video calls is needed. Especially between family members and partners, it is desirable to close both physical and emotional distance. With the advancement in information technology, communication became much easier than before. However, the problem of emotional distance still remains unsolved. Having too much communication out of sheer desire to get partner’s information can be invasion of privacy. Research efforts are currently being made in various approaches, but it is difficult to have a ‘realistic experience’ of actually being with the partner. Even a successful tool would require another device in many cases, and it often comes with high initial costs. Therefore, we focus on ‘heartbeat’ in this study, and propose an application that transmits heartbeat by using the pulse sensor of smartwatch.
{"title":"Proposal of Heartbeat-transmitting Application For Long-distance Communication","authors":"Yui Tanaka, T. Fujimoto","doi":"10.1109/csci51800.2020.00203","DOIUrl":"https://doi.org/10.1109/csci51800.2020.00203","url":null,"abstract":"In recent years, telecommuting, business trips, and studying abroad have become quite common. Against this backdrop, improvement in ways of long-distance communication such as video calls is needed. Especially between family members and partners, it is desirable to close both physical and emotional distance. With the advancement in information technology, communication became much easier than before. However, the problem of emotional distance still remains unsolved. Having too much communication out of sheer desire to get partner’s information can be invasion of privacy. Research efforts are currently being made in various approaches, but it is difficult to have a ‘realistic experience’ of actually being with the partner. Even a successful tool would require another device in many cases, and it often comes with high initial costs. Therefore, we focus on ‘heartbeat’ in this study, and propose an application that transmits heartbeat by using the pulse sensor of smartwatch.","PeriodicalId":336929,"journal":{"name":"2020 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121883695","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}
Pub Date : 2020-12-01DOI: 10.1109/CSCI51800.2020.00126
Miku Kawai, Jumpei Ono, Takashi Ogata
We are developing a stage performing structure simulation system. This paper introduces the generation of explanations into the system. First, we classified the explanations we collected. Thereafter, we prototyped a mechanism wherein the system automatically determines the content and method of an explanation based on arbitrary parameters. Through this trial, we will examine effective explanation methods for story generation.
{"title":"Explanation Generation in a Kabuki Dance Stage Performing Structure Simulation System","authors":"Miku Kawai, Jumpei Ono, Takashi Ogata","doi":"10.1109/CSCI51800.2020.00126","DOIUrl":"https://doi.org/10.1109/CSCI51800.2020.00126","url":null,"abstract":"We are developing a stage performing structure simulation system. This paper introduces the generation of explanations into the system. First, we classified the explanations we collected. Thereafter, we prototyped a mechanism wherein the system automatically determines the content and method of an explanation based on arbitrary parameters. Through this trial, we will examine effective explanation methods for story generation.","PeriodicalId":336929,"journal":{"name":"2020 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127698452","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}
Pub Date : 2020-12-01DOI: 10.1109/CSCI51800.2020.00205
Kevin Matthe Caramancion, Pierre Pauline Abesamis
This paper offers an assessment on the performance of the Philippines’ e-government initiatives particularly in the aspect of interoperability. Benchmarking Canada, Australia, and Singapore—the authors evaluated the successes and failures of the Philippines and created comparative analyses on its initiative performance. Although government funding and human resources on the country is of high magnitude, it is surprising to witness how the Philippines consistently ranks low on UN rankings. Findings revealed that appropriate integration of human factors and dynamics will significantly improve the country’s performance. Likewise, this paper affirms a proposition through a roadmap to that possibility.
{"title":"Human Capacity Organizational Roadmap for E-Government Interoperability in the Philippines","authors":"Kevin Matthe Caramancion, Pierre Pauline Abesamis","doi":"10.1109/CSCI51800.2020.00205","DOIUrl":"https://doi.org/10.1109/CSCI51800.2020.00205","url":null,"abstract":"This paper offers an assessment on the performance of the Philippines’ e-government initiatives particularly in the aspect of interoperability. Benchmarking Canada, Australia, and Singapore—the authors evaluated the successes and failures of the Philippines and created comparative analyses on its initiative performance. Although government funding and human resources on the country is of high magnitude, it is surprising to witness how the Philippines consistently ranks low on UN rankings. Findings revealed that appropriate integration of human factors and dynamics will significantly improve the country’s performance. Likewise, this paper affirms a proposition through a roadmap to that possibility.","PeriodicalId":336929,"journal":{"name":"2020 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132586829","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}
Pub Date : 2020-12-01DOI: 10.1109/csci51800.2020.00215
J. Ortiz-Hernandez, Juan Antonio Miguel-Ruiz, Manuel Erazo-Valadez, Leon Torres-Restrepo, A. Martínez-Rebollar, M. Mejía-Lavalle
Successive technological improvements have made possible the development of IoT with a high capacity for communication and data collection, providing numerous opportunities for application. As a result, attention from researchers in both academic and industrial environments has been drawn to the subject matter. Despite all the enhancements till date, there are still several open issues that represent the main challenges for IoT. One of these concerns resides in the management of the devices responsible for collecting environmental data. The functionality and reliability of the services it provides depends on the correct management of the sensor devices. In this article we propose a framework for the development of a lightweight IoT smart solution using the FIWARE Open-Source Platform. This solution scheme is intended for an indoor localization system using Wireless Fidelity (WiFi) and Bluetooth Low Energy (BLE) signals.
{"title":"A Lightweight Framework for IoT Smart Solutions","authors":"J. Ortiz-Hernandez, Juan Antonio Miguel-Ruiz, Manuel Erazo-Valadez, Leon Torres-Restrepo, A. Martínez-Rebollar, M. Mejía-Lavalle","doi":"10.1109/csci51800.2020.00215","DOIUrl":"https://doi.org/10.1109/csci51800.2020.00215","url":null,"abstract":"Successive technological improvements have made possible the development of IoT with a high capacity for communication and data collection, providing numerous opportunities for application. As a result, attention from researchers in both academic and industrial environments has been drawn to the subject matter. Despite all the enhancements till date, there are still several open issues that represent the main challenges for IoT. One of these concerns resides in the management of the devices responsible for collecting environmental data. The functionality and reliability of the services it provides depends on the correct management of the sensor devices. In this article we propose a framework for the development of a lightweight IoT smart solution using the FIWARE Open-Source Platform. This solution scheme is intended for an indoor localization system using Wireless Fidelity (WiFi) and Bluetooth Low Energy (BLE) signals.","PeriodicalId":336929,"journal":{"name":"2020 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132699284","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}
Pub Date : 2020-12-01DOI: 10.1109/CSCI51800.2020.00114
A. Leach, S. Hussain
There have been several explanations advanced to account for the unsteady levels of political participation among Blacks in recent years, but rather unfortunately, little research has been conducted into the role local issues may play. National personalities and elongated election seasons inundated with negative campaigning may have "turned-off" potential voters, but as the popular aphorism goes, "all politics are local," and thus local conditions should be interrogated to help understand voting and other forms of political participation. To this end, this study seeks to probe more deeply into this phenomenon by examining local political participation in the American states. For reasons we outline below, we specifically focus on local political participation in the state of Tennessee (TN) Utilizing data from the 2016 Congressional Cooperative Election Study (CCE), we ask what local-level factors most likely influence political participation among Blacks in TN? In order to parse through the large 2016 CCES dataset more efficiently, we employ software programming tools to address our primary questions using computational thinking and research methods. This technology-driven style of political thinking demonstrates the utility of adopting computing tools and data-driven approaches to identify and address areas of concern across government and civic society. One implication of this work is that it highlights the need for political actors to think more locally when crafting strategies for outreach and engagement towards historically disadvantaged race groups.
{"title":"Black Political Participation in the Volunteer State","authors":"A. Leach, S. Hussain","doi":"10.1109/CSCI51800.2020.00114","DOIUrl":"https://doi.org/10.1109/CSCI51800.2020.00114","url":null,"abstract":"There have been several explanations advanced to account for the unsteady levels of political participation among Blacks in recent years, but rather unfortunately, little research has been conducted into the role local issues may play. National personalities and elongated election seasons inundated with negative campaigning may have \"turned-off\" potential voters, but as the popular aphorism goes, \"all politics are local,\" and thus local conditions should be interrogated to help understand voting and other forms of political participation. To this end, this study seeks to probe more deeply into this phenomenon by examining local political participation in the American states. For reasons we outline below, we specifically focus on local political participation in the state of Tennessee (TN) Utilizing data from the 2016 Congressional Cooperative Election Study (CCE), we ask what local-level factors most likely influence political participation among Blacks in TN? In order to parse through the large 2016 CCES dataset more efficiently, we employ software programming tools to address our primary questions using computational thinking and research methods. This technology-driven style of political thinking demonstrates the utility of adopting computing tools and data-driven approaches to identify and address areas of concern across government and civic society. One implication of this work is that it highlights the need for political actors to think more locally when crafting strategies for outreach and engagement towards historically disadvantaged race groups.","PeriodicalId":336929,"journal":{"name":"2020 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134381618","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}
Pub Date : 2020-12-01DOI: 10.1109/CSCI51800.2020.00190
E. Abuelyaman, A. A. Manda
Educational institutions worldwide continue to improve their teaching and learning activities in almost all the facets of the profession. Upon the declaration of COVID 19 as a pandemic, learning activities were abruptly shifted from the in-person to virtual classroom activities. The transition required changes in the strategies and methods/styles of teaching. Despite the success in most of the activities, classroom interactions and assessments of students’ work emerged as areas that deserve more attention. The objective of this study is to develop a pilot project aimed at maintaining acceptable and secured levels of interactions and assessments. The setting for this study includes virtual classroom interactions, peer level tutoring sessions, and formative assessments. To improve the interactions, efficacious assessment methods deploying incremental levels of thinking were used. This requires a third-party program for embedding questions on prerecorded lectures. The questions were then randomized and assigned to the subjects. The use of hierarchical randomization of multiple-choice questions for the short quizzes resulted in reduction of cheating. The performance of the students in the four sections of a calculus course used for this project improved by 17%. For complete eradication of cheating, the midterm was returned from online back to the traditional classrooms. Such move will include the final exam in mid-December.
{"title":"Transition to Semi-Virtual Classrooms","authors":"E. Abuelyaman, A. A. Manda","doi":"10.1109/CSCI51800.2020.00190","DOIUrl":"https://doi.org/10.1109/CSCI51800.2020.00190","url":null,"abstract":"Educational institutions worldwide continue to improve their teaching and learning activities in almost all the facets of the profession. Upon the declaration of COVID 19 as a pandemic, learning activities were abruptly shifted from the in-person to virtual classroom activities. The transition required changes in the strategies and methods/styles of teaching. Despite the success in most of the activities, classroom interactions and assessments of students’ work emerged as areas that deserve more attention. The objective of this study is to develop a pilot project aimed at maintaining acceptable and secured levels of interactions and assessments. The setting for this study includes virtual classroom interactions, peer level tutoring sessions, and formative assessments. To improve the interactions, efficacious assessment methods deploying incremental levels of thinking were used. This requires a third-party program for embedding questions on prerecorded lectures. The questions were then randomized and assigned to the subjects. The use of hierarchical randomization of multiple-choice questions for the short quizzes resulted in reduction of cheating. The performance of the students in the four sections of a calculus course used for this project improved by 17%. For complete eradication of cheating, the midterm was returned from online back to the traditional classrooms. Such move will include the final exam in mid-December.","PeriodicalId":336929,"journal":{"name":"2020 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"402 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134584351","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}
Pub Date : 2020-12-01DOI: 10.1109/CSCI51800.2020.00220
A. Martínez-Rebollar, Hugo Estrada-Esquivel, L. López-García, Leon Torres-Restrepo, J. Ortiz-Hernandez
The Internet of Things is promoting the generation of smart buildings. These buildings have as main requirement the navigation of interiors. However, GPS technology, which is used to carry out positioning, cannot be used within a building because satellite signals do not travel well through solid materials. In this paper, we present an indoor navigation proposal, which uses beacons technology and smartphones. Our software application obtains information from the context and generates the best route to reach the destination within an intelligent building. The Dijkstra algorithm was used to process all the information. Hence, our proposal aims to combine different technologies, and adapt developed algorithms to indoor navigation. The results obtained are encouraging and show that it is possible to obtain good results using this type of technology.
{"title":"Generating Indoor Navigation Routes Using Beacons","authors":"A. Martínez-Rebollar, Hugo Estrada-Esquivel, L. López-García, Leon Torres-Restrepo, J. Ortiz-Hernandez","doi":"10.1109/CSCI51800.2020.00220","DOIUrl":"https://doi.org/10.1109/CSCI51800.2020.00220","url":null,"abstract":"The Internet of Things is promoting the generation of smart buildings. These buildings have as main requirement the navigation of interiors. However, GPS technology, which is used to carry out positioning, cannot be used within a building because satellite signals do not travel well through solid materials. In this paper, we present an indoor navigation proposal, which uses beacons technology and smartphones. Our software application obtains information from the context and generates the best route to reach the destination within an intelligent building. The Dijkstra algorithm was used to process all the information. Hence, our proposal aims to combine different technologies, and adapt developed algorithms to indoor navigation. The results obtained are encouraging and show that it is possible to obtain good results using this type of technology.","PeriodicalId":336929,"journal":{"name":"2020 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114789522","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}
Pub Date : 2020-12-01DOI: 10.1109/CSCI51800.2020.00102
Daniel A. Sanaguano, José Lucio-Naranjo, R. Tenenbaum
This work aims to give an overview of Artificial Neural Networks (ANN) approaches applied for BIRs generation published in the literature and to expose gaps in the academic research. The literature review shows that several successful studies are using ANNs approaches for BIRs generation with a reduction in the computational effort by up to 90% with respect to the Traditional Method. Nevertheless, these approaches are bounded by a fixed pair of a sound-source and binaural-receptor, meaning that they do not take into account dynamic variations in the position of the receptor. In this sense, this work also introduces a conceptual model for a real-time BIRs generator that considers a moving binaural-receptor using a set of Artificial Neural Networks.
{"title":"A Conceptual Model for real-time Binaural-Room Impulse Responses generation using ANNs in Virtual Environments: State of the Art","authors":"Daniel A. Sanaguano, José Lucio-Naranjo, R. Tenenbaum","doi":"10.1109/CSCI51800.2020.00102","DOIUrl":"https://doi.org/10.1109/CSCI51800.2020.00102","url":null,"abstract":"This work aims to give an overview of Artificial Neural Networks (ANN) approaches applied for BIRs generation published in the literature and to expose gaps in the academic research. The literature review shows that several successful studies are using ANNs approaches for BIRs generation with a reduction in the computational effort by up to 90% with respect to the Traditional Method. Nevertheless, these approaches are bounded by a fixed pair of a sound-source and binaural-receptor, meaning that they do not take into account dynamic variations in the position of the receptor. In this sense, this work also introduces a conceptual model for a real-time BIRs generator that considers a moving binaural-receptor using a set of Artificial Neural Networks.","PeriodicalId":336929,"journal":{"name":"2020 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114862330","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}
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