Pub Date : 2021-12-01DOI: 10.1109/CSCI54926.2021.00162
Kangrong Tan, S. Tokinaga
This paper deals with the impact of COVID-19 pandemic on the stock market. We focus on the link between the infected cases and the change of the stock market in Germany. We employ the Markov Regime Switching Analysis (MRSA) to expose the situations of COVID-19 pandemic, and the co-movement between the pandemic and the market. Through our empirical analysis, we find that MRSA works well to divide the whole time horizon into several intervals with different statistical properties, or different regime states.
{"title":"Markov Regime Switching Analysis for the Pandemic and the Dynamics of German Market","authors":"Kangrong Tan, S. Tokinaga","doi":"10.1109/CSCI54926.2021.00162","DOIUrl":"https://doi.org/10.1109/CSCI54926.2021.00162","url":null,"abstract":"This paper deals with the impact of COVID-19 pandemic on the stock market. We focus on the link between the infected cases and the change of the stock market in Germany. We employ the Markov Regime Switching Analysis (MRSA) to expose the situations of COVID-19 pandemic, and the co-movement between the pandemic and the market. Through our empirical analysis, we find that MRSA works well to divide the whole time horizon into several intervals with different statistical properties, or different regime states.","PeriodicalId":206881,"journal":{"name":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129266963","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 : 2021-12-01DOI: 10.1109/CSCI54926.2021.00238
Ko Saito, R. Onuma, H. Nakayama, H. Kaminaga, Y. Miyadera, Shoichi Nakamura
Opportunities have increased to make presentations using slides to explain the results and progress of work. Therefore, there is an increasing need for students to develop the ability to improve presentation slides. To make students experienced in refining slides by themselves, it is important to suggest problematic portions in slides to them. In this research, we have developed a mechanism for automatically estimating problematic portions in presentations on the basis of an analysis of the compositional features of slides and gaze movements of audiences. We have also been working on the development of a system that presents the results of this estimation in an understandable form so that students can use them in their refinement of slides. This paper mainly describes the features of a system that estimates the problematic portions in slides.
{"title":"Estimation of Problematic Portions in Presentation Slides Based on Analysis of Audience’s Unconscious Reactions and Slide Data","authors":"Ko Saito, R. Onuma, H. Nakayama, H. Kaminaga, Y. Miyadera, Shoichi Nakamura","doi":"10.1109/CSCI54926.2021.00238","DOIUrl":"https://doi.org/10.1109/CSCI54926.2021.00238","url":null,"abstract":"Opportunities have increased to make presentations using slides to explain the results and progress of work. Therefore, there is an increasing need for students to develop the ability to improve presentation slides. To make students experienced in refining slides by themselves, it is important to suggest problematic portions in slides to them. In this research, we have developed a mechanism for automatically estimating problematic portions in presentations on the basis of an analysis of the compositional features of slides and gaze movements of audiences. We have also been working on the development of a system that presents the results of this estimation in an understandable form so that students can use them in their refinement of slides. This paper mainly describes the features of a system that estimates the problematic portions in slides.","PeriodicalId":206881,"journal":{"name":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124788074","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 : 2021-12-01DOI: 10.1109/CSCI54926.2021.00255
Dan O. Oketch, Topside E. Mathonsi
Assistive technologies (AT) for people with mild-to-moderate dementia (PwMMD) have evolved over the years and there is a growing awareness of the benefits to users and the need to identify applicable and effective methods for personalized implementations to cater to individual needs. As a result, in this paper, a wrist-worn pre-programmable personalized smart Global System for Mobile Communication (GSM) based task reminder system is proposed. The back-end of the system consists of a computer unit with an internet connection, a bulk SMS subscription service application, and a GSM modem connection. The front-end of the system consists of a user wrist-worn GSM module/receiver for receiving SMS task reminders from the back-end unit via the GSM network.
{"title":"Smart Task Reminder Model for People with Mild Dementia at Home","authors":"Dan O. Oketch, Topside E. Mathonsi","doi":"10.1109/CSCI54926.2021.00255","DOIUrl":"https://doi.org/10.1109/CSCI54926.2021.00255","url":null,"abstract":"Assistive technologies (AT) for people with mild-to-moderate dementia (PwMMD) have evolved over the years and there is a growing awareness of the benefits to users and the need to identify applicable and effective methods for personalized implementations to cater to individual needs. As a result, in this paper, a wrist-worn pre-programmable personalized smart Global System for Mobile Communication (GSM) based task reminder system is proposed. The back-end of the system consists of a computer unit with an internet connection, a bulk SMS subscription service application, and a GSM modem connection. The front-end of the system consists of a user wrist-worn GSM module/receiver for receiving SMS task reminders from the back-end unit via the GSM network.","PeriodicalId":206881,"journal":{"name":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129665860","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 : 2021-12-01DOI: 10.1109/CSCI54926.2021.00076
Yueyang Wang, B. Shafai
Nonnegative Matrix Factorization (NMF) has been proved to be a powerful method in data processing and has also shown success in applications such as feature extraction and image representation. In this paper, we propose two symmetric matrix-based methods, Symcom and Symize, to achieve square strategy (SQR) in SQR-NMF. This integration process allows the matrix to preserve symmetry property associated with images to enhance image reconstruction. Simulation results show that Symcom performs better on super wide or super long data matrices and Symize achieves better results on symmetrical data matrices.
{"title":"Nonnegative Matrix Factorization Approach for Image Reconstruction","authors":"Yueyang Wang, B. Shafai","doi":"10.1109/CSCI54926.2021.00076","DOIUrl":"https://doi.org/10.1109/CSCI54926.2021.00076","url":null,"abstract":"Nonnegative Matrix Factorization (NMF) has been proved to be a powerful method in data processing and has also shown success in applications such as feature extraction and image representation. In this paper, we propose two symmetric matrix-based methods, Symcom and Symize, to achieve square strategy (SQR) in SQR-NMF. This integration process allows the matrix to preserve symmetry property associated with images to enhance image reconstruction. Simulation results show that Symcom performs better on super wide or super long data matrices and Symize achieves better results on symmetrical data matrices.","PeriodicalId":206881,"journal":{"name":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123982342","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 : 2021-12-01DOI: 10.1109/CSCI54926.2021.00313
G. Lee, Yu-Che Lee, Cheng-Chieh Chiang
Face recognition has been widely applied in many systems in our lives. These applications have reached good accuracies on face recognition tasks when face images can be captured with good quality, particularly when they have a high enough resolution. However, in an indoor environment, a surveillance camera often covers a wide area with multiple persons; this leads to only lower resolutions of face images are available in face recognition. This paper presents a face recognition approach for low resolution images using convolutional neural network (CNN) in a multi-person indoor environment. Our methods first detect face regions with the YOLOv3 approach and then recognize face images using the trained CNN model. Experiments are performed in an indoor classroom to capture face images with resolutions ranging from 20x20 to 70x70. Moreover, face images are extracted over 4 months to test the stability of our proposed face recognition model.
{"title":"Low-Resolution Face Recognition in Multi-person Indoor Environments Using Convolutional Neural Networks","authors":"G. Lee, Yu-Che Lee, Cheng-Chieh Chiang","doi":"10.1109/CSCI54926.2021.00313","DOIUrl":"https://doi.org/10.1109/CSCI54926.2021.00313","url":null,"abstract":"Face recognition has been widely applied in many systems in our lives. These applications have reached good accuracies on face recognition tasks when face images can be captured with good quality, particularly when they have a high enough resolution. However, in an indoor environment, a surveillance camera often covers a wide area with multiple persons; this leads to only lower resolutions of face images are available in face recognition. This paper presents a face recognition approach for low resolution images using convolutional neural network (CNN) in a multi-person indoor environment. Our methods first detect face regions with the YOLOv3 approach and then recognize face images using the trained CNN model. Experiments are performed in an indoor classroom to capture face images with resolutions ranging from 20x20 to 70x70. Moreover, face images are extracted over 4 months to test the stability of our proposed face recognition model.","PeriodicalId":206881,"journal":{"name":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123648342","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 : 2021-12-01DOI: 10.1109/CSCI54926.2021.00054
Ereza Baftiu, Krenare Pireva Nuçi
The COVID-19 pandemic has caused changes in terms of traditional teaching globally. In Kosovo context, the Universities have found the transition from teaching in class to online classes quite challenging. This study investigates the transformation process from in-campus classes to online classes from the technical perspective within five Higher Education Institutions (HEI) in Kosovo. The data was collected using the qualitative methods and its analysis followed the 3C Litchman approach. The results show that each of the Universities followed a different approach by using either their limited premises infrastructure or using additional cloud infrastructure.
{"title":"The transformation process from in-campus classes into online classes due to COVID-19 pandemic situation","authors":"Ereza Baftiu, Krenare Pireva Nuçi","doi":"10.1109/CSCI54926.2021.00054","DOIUrl":"https://doi.org/10.1109/CSCI54926.2021.00054","url":null,"abstract":"The COVID-19 pandemic has caused changes in terms of traditional teaching globally. In Kosovo context, the Universities have found the transition from teaching in class to online classes quite challenging. This study investigates the transformation process from in-campus classes to online classes from the technical perspective within five Higher Education Institutions (HEI) in Kosovo. The data was collected using the qualitative methods and its analysis followed the 3C Litchman approach. The results show that each of the Universities followed a different approach by using either their limited premises infrastructure or using additional cloud infrastructure.","PeriodicalId":206881,"journal":{"name":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128039263","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 : 2021-12-01DOI: 10.1109/CSCI54926.2021.00233
Jhasmani Tito, Tânia Basso, Regina L. O. Moraes
Many activities, such as reading a map and self-orienting in the right direction, are linked with people’s spatial ability. This skill allows an understanding of the space-object relationship and its mental transformations. Digital tools such as Virtual Reality allow us to simulate real-world conditions to carry out interactive experiments to train and measure people’s spatial skills, particularly mental rotation and spatial orientation. This work defines a method to collect information about users spatial ability level, and a way to train its abilities. The method was submitted to a pilot test with users preliminary validation. Thus, by applying the method, the authors aim to collect data to understand if the expansion of the scope from traditional test from 2d paper-and-pencil to 3d virtual environment bring new insights on mental rotation and spatial orientation.
{"title":"Digital measurement of spatial ability using a Virtual Reality environment","authors":"Jhasmani Tito, Tânia Basso, Regina L. O. Moraes","doi":"10.1109/CSCI54926.2021.00233","DOIUrl":"https://doi.org/10.1109/CSCI54926.2021.00233","url":null,"abstract":"Many activities, such as reading a map and self-orienting in the right direction, are linked with people’s spatial ability. This skill allows an understanding of the space-object relationship and its mental transformations. Digital tools such as Virtual Reality allow us to simulate real-world conditions to carry out interactive experiments to train and measure people’s spatial skills, particularly mental rotation and spatial orientation. This work defines a method to collect information about users spatial ability level, and a way to train its abilities. The method was submitted to a pilot test with users preliminary validation. Thus, by applying the method, the authors aim to collect data to understand if the expansion of the scope from traditional test from 2d paper-and-pencil to 3d virtual environment bring new insights on mental rotation and spatial orientation.","PeriodicalId":206881,"journal":{"name":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121618279","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 : 2021-12-01DOI: 10.1109/CSCI54926.2021.00227
M. Radaideh
software engineers usually find themselves in project/Administrative/Operational management positions. Therefore, it is very important to include a senior software project management course in any software engineering curriculum. software engineers mostly experience planning Challenges when it comes to budgeting, scheduling, identifying and assessing potential risks, and communicating with their customers and team members. transforming the traditional project management education to a software project management education is crucial to equipping software engineers with adequate practical experience in the software Domain.This paper describes a senior software project management course that is based on the project management Body of knowledge (PMBOK Guide), and the IEEE software engineering Body of knowledge (SWEBOK-V3.0). It also attempts to answer several research questions that involves the main differences between the traditional project management approaches and the software project management approach, and the course compliance with the accreditation Criteria of the institute of the engineering and technology (IET) and the accreditation board for engineering and technology (ABET).
{"title":"Shifting the paradigms from teaching project management to teaching software project management at Jordan university of science and technology based on the IEEE software engineering management knowledge area","authors":"M. Radaideh","doi":"10.1109/CSCI54926.2021.00227","DOIUrl":"https://doi.org/10.1109/CSCI54926.2021.00227","url":null,"abstract":"software engineers usually find themselves in project/Administrative/Operational management positions. Therefore, it is very important to include a senior software project management course in any software engineering curriculum. software engineers mostly experience planning Challenges when it comes to budgeting, scheduling, identifying and assessing potential risks, and communicating with their customers and team members. transforming the traditional project management education to a software project management education is crucial to equipping software engineers with adequate practical experience in the software Domain.This paper describes a senior software project management course that is based on the project management Body of knowledge (PMBOK Guide), and the IEEE software engineering Body of knowledge (SWEBOK-V3.0). It also attempts to answer several research questions that involves the main differences between the traditional project management approaches and the software project management approach, and the course compliance with the accreditation Criteria of the institute of the engineering and technology (IET) and the accreditation board for engineering and technology (ABET).","PeriodicalId":206881,"journal":{"name":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115772581","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 : 2021-12-01DOI: 10.1109/CSCI54926.2021.00341
Sakir Yucel
Boundaries on separate infrastructure domains are blurring as infrastructure providers are collaborating to offer end-to-end services. To capture opportunities and shine in competitive service market, infrastructure and service providers need to excel in addressing the changing customer requirements and in the operations and management of resources. They should welcome effective collaboration with other network and infrastructure providers in delivering quality services to customers. Effective sharing of the infrastructure resources is essential in meeting the customer demands and reducing the cost. Server placement problem for end-to-end virtual services becomes a crucial optimization challenge for providers in such collaborative environments. In our previous work, we formulated the collaborative virtual server placement problem and suggested density-based clustering algorithms to address this problem. In this work, we propose hierarchical and density-aware spectral clustering as a feasible solution to the server placement problem in virtual and collaborative service environments. We introduce three enhancements to the classical spectral clustering to make it fit to our problem: vertex weights, density awareness, hierarchical partitioning.
{"title":"Hierarchical and Density Aware Spectral Clustering Approach to Server Placement for Collaborative Virtual Services","authors":"Sakir Yucel","doi":"10.1109/CSCI54926.2021.00341","DOIUrl":"https://doi.org/10.1109/CSCI54926.2021.00341","url":null,"abstract":"Boundaries on separate infrastructure domains are blurring as infrastructure providers are collaborating to offer end-to-end services. To capture opportunities and shine in competitive service market, infrastructure and service providers need to excel in addressing the changing customer requirements and in the operations and management of resources. They should welcome effective collaboration with other network and infrastructure providers in delivering quality services to customers. Effective sharing of the infrastructure resources is essential in meeting the customer demands and reducing the cost. Server placement problem for end-to-end virtual services becomes a crucial optimization challenge for providers in such collaborative environments. In our previous work, we formulated the collaborative virtual server placement problem and suggested density-based clustering algorithms to address this problem. In this work, we propose hierarchical and density-aware spectral clustering as a feasible solution to the server placement problem in virtual and collaborative service environments. We introduce three enhancements to the classical spectral clustering to make it fit to our problem: vertex weights, density awareness, hierarchical partitioning.","PeriodicalId":206881,"journal":{"name":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130429382","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 : 2021-12-01DOI: 10.1109/CSCI54926.2021.00134
Diksha Kool, Katy C. Kao, Wendy Lee
Candida albicans and Candida glabrata are common fungal species that can change from commensal to pathogen due to their ability to form robust biofilms. Candida species are the leading cause of life-threatening conditions like Candidemia, and the existing treatments for biofilm-related infections are suboptimal. Research shows that the relative abundance of the two Candida species promotes biofilm formation, enhances pathogenicity, and increases antibiotic resistance. Thus, focusing on the importance of co-culture, this paper utilizes RNA sequencing to investigate the gene expression leading to biofilm development in co-culture through a time-series study.
{"title":"Understanding How the Relative Abundance of Candida Species Impacts Transcriptional Regulation in Co-culture Biofilms","authors":"Diksha Kool, Katy C. Kao, Wendy Lee","doi":"10.1109/CSCI54926.2021.00134","DOIUrl":"https://doi.org/10.1109/CSCI54926.2021.00134","url":null,"abstract":"Candida albicans and Candida glabrata are common fungal species that can change from commensal to pathogen due to their ability to form robust biofilms. Candida species are the leading cause of life-threatening conditions like Candidemia, and the existing treatments for biofilm-related infections are suboptimal. Research shows that the relative abundance of the two Candida species promotes biofilm formation, enhances pathogenicity, and increases antibiotic resistance. Thus, focusing on the importance of co-culture, this paper utilizes RNA sequencing to investigate the gene expression leading to biofilm development in co-culture through a time-series study.","PeriodicalId":206881,"journal":{"name":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"28 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134570785","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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