Pub Date : 2020-07-15DOI: 10.1109/IISA50023.2020.9284376
Stavros Piotopoulos, E. Sakkopoulos
The Greek Integrated Information Citizenship System “Gr.I.I.C.S” (pronounced “Greeks”) is used by the competent Services nationwide. The Central and Regional Citizenship Directorates of Greece process thousands of cases of varying levels of complexity every year and it has been apparent that an expert system should be created to aid them in this task. In 2017, “Gr.I.I.C.S” was put in productive use that modernized procedures. In this work, we dive into the processes of the complex Citizenship Law provisions. The business process analysis is focused on the evaluation of two popular citizen service scenarios. Our work shows that proposed approaches will shorten the service time needed for each case and it contributes at the same time to a more effective management of citizenship employees.
{"title":"Smart eGov Services for Citizenship: Improving Personalized Services","authors":"Stavros Piotopoulos, E. Sakkopoulos","doi":"10.1109/IISA50023.2020.9284376","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284376","url":null,"abstract":"The Greek Integrated Information Citizenship System “Gr.I.I.C.S” (pronounced “Greeks”) is used by the competent Services nationwide. The Central and Regional Citizenship Directorates of Greece process thousands of cases of varying levels of complexity every year and it has been apparent that an expert system should be created to aid them in this task. In 2017, “Gr.I.I.C.S” was put in productive use that modernized procedures. In this work, we dive into the processes of the complex Citizenship Law provisions. The business process analysis is focused on the evaluation of two popular citizen service scenarios. Our work shows that proposed approaches will shorten the service time needed for each case and it contributes at the same time to a more effective management of citizenship employees.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125758891","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 : 2020-07-15DOI: 10.1109/IISA50023.2020.9284346
Gregory Koronakos, Dionisios N. Sotiropoulos
Data Envelopment Analysis (DEA) is the most popular non-parametric method for the efficiency assessment of homogeneous units. In this paper, we develop a novel approach, which integrates DEA with Artificial Neural Networks (ANNs) to accelerate the evaluation process and reduce the computational burden. We employ ANNs to estimate the efficiency scores of the milestone DEA models. The relative nature of DEA is considered in our approach by assuring that the DMUs used for training the ANNs are first evaluated against the efficient set. The ANNs employed in our approach estimate accurately the DEA efficiency scores. We validate our approach by conducting a series of experiments based on different data generation processes and number of inputs and outputs. Also, these estimated efficiency scores satisfy the properties of the fundamental DEA models. Thus, our approach can be employed for large scale assessments where the traditional DEA methods are rendered impractical.
{"title":"A Neural Network approach for Non-parametric Performance Assessment","authors":"Gregory Koronakos, Dionisios N. Sotiropoulos","doi":"10.1109/IISA50023.2020.9284346","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284346","url":null,"abstract":"Data Envelopment Analysis (DEA) is the most popular non-parametric method for the efficiency assessment of homogeneous units. In this paper, we develop a novel approach, which integrates DEA with Artificial Neural Networks (ANNs) to accelerate the evaluation process and reduce the computational burden. We employ ANNs to estimate the efficiency scores of the milestone DEA models. The relative nature of DEA is considered in our approach by assuring that the DMUs used for training the ANNs are first evaluated against the efficient set. The ANNs employed in our approach estimate accurately the DEA efficiency scores. We validate our approach by conducting a series of experiments based on different data generation processes and number of inputs and outputs. Also, these estimated efficiency scores satisfy the properties of the fundamental DEA models. Thus, our approach can be employed for large scale assessments where the traditional DEA methods are rendered impractical.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121639226","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 : 2020-07-15DOI: 10.1109/IISA50023.2020.9284363
A. Arsenopoulos, Vangelis Marinakis, K. Koasidis, A. Stavrakaki, J. Psarras
Energy poverty is broadly understood as the inability of households to maintain adequate levels of energy services at an affordable cost, within an economically developed national context. Under the Energy Efficiency Directive (2012/27/EU), Member States must set up an energy efficiency obligation scheme that requires energy companies to achieve yearly energy savings in terms of annual sales to final consumers (Article 7). As such, energy companies need to design and implement measures that help final consumers improve the energy efficiency of their dwellings. A share of measures is required to be implemented as a priority among vulnerable households, including those affected by energy poverty, and where appropriate, in social housing. In this context, the aim of this paper is to present decision support tools to help utilities and energy suppliers effectively: (a) identify energy poor households; (b) select the most appropriate schemes to include under their Energy Efficiency Obligation and elaborate Energy Poverty Action Plans; (c) monitor their effectiveness and evaluate their impact. In this way, the proposed tools support utilities and energy suppliers to fulfil their energy efficiency obligations, as well as improve public relations, promote Corporate Social Responsibility strategies, reduce debt and overhead in managing debt and enhance their public image.
{"title":"Decision Support Tools for Energy Efficiency Obligated Parties towards Energy Poverty Alleviation","authors":"A. Arsenopoulos, Vangelis Marinakis, K. Koasidis, A. Stavrakaki, J. Psarras","doi":"10.1109/IISA50023.2020.9284363","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284363","url":null,"abstract":"Energy poverty is broadly understood as the inability of households to maintain adequate levels of energy services at an affordable cost, within an economically developed national context. Under the Energy Efficiency Directive (2012/27/EU), Member States must set up an energy efficiency obligation scheme that requires energy companies to achieve yearly energy savings in terms of annual sales to final consumers (Article 7). As such, energy companies need to design and implement measures that help final consumers improve the energy efficiency of their dwellings. A share of measures is required to be implemented as a priority among vulnerable households, including those affected by energy poverty, and where appropriate, in social housing. In this context, the aim of this paper is to present decision support tools to help utilities and energy suppliers effectively: (a) identify energy poor households; (b) select the most appropriate schemes to include under their Energy Efficiency Obligation and elaborate Energy Poverty Action Plans; (c) monitor their effectiveness and evaluate their impact. In this way, the proposed tools support utilities and energy suppliers to fulfil their energy efficiency obligations, as well as improve public relations, promote Corporate Social Responsibility strategies, reduce debt and overhead in managing debt and enhance their public image.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117013465","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 : 2020-07-15DOI: 10.1109/IISA50023.2020.9284390
Athanasios Tsipis, Vasileios Komianos, K. Oikonomou, I. Stavrakakis
Fog-assisted cloud computing advances have paved the way for new solutions in online gaming, by integrating all rendering resources directly into the edges of the cloud. However, despite the numerous benefits, these systems still remain prone to network delays, ergo, the discovery of an optimal rendering service placement in the fog layer, that effectively reduces capital deployment cost for the game providers and access latency cost for the game clients, is a challenging issue. In fact, it falls into the category of the well-known (NP-hard) facility location problems. As such, conventional centralized approaches, that require global network knowledge, in most cases are deemed unscalable and cost-prohibitive, thus, distributed solutions must be further explored. The approach followed here, introduces a Rendering Service Allocation Policy (RSAP) to autonomously allocate services towards an optimal placement, based strictly on local information available to the fog renderers regarding their aggregate rendering demands, yielding reduced access latency and deployment costs, whilst meeting their stringent capacity bounds. Simulation results showcase the efficiency of RSAP and verify its elastic behavior under different deployment scenarios.
{"title":"Elastic Distributed Rendering Service Placement in Capacitated Cloud/Fog Gaming Systems","authors":"Athanasios Tsipis, Vasileios Komianos, K. Oikonomou, I. Stavrakakis","doi":"10.1109/IISA50023.2020.9284390","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284390","url":null,"abstract":"Fog-assisted cloud computing advances have paved the way for new solutions in online gaming, by integrating all rendering resources directly into the edges of the cloud. However, despite the numerous benefits, these systems still remain prone to network delays, ergo, the discovery of an optimal rendering service placement in the fog layer, that effectively reduces capital deployment cost for the game providers and access latency cost for the game clients, is a challenging issue. In fact, it falls into the category of the well-known (NP-hard) facility location problems. As such, conventional centralized approaches, that require global network knowledge, in most cases are deemed unscalable and cost-prohibitive, thus, distributed solutions must be further explored. The approach followed here, introduces a Rendering Service Allocation Policy (RSAP) to autonomously allocate services towards an optimal placement, based strictly on local information available to the fog renderers regarding their aggregate rendering demands, yielding reduced access latency and deployment costs, whilst meeting their stringent capacity bounds. Simulation results showcase the efficiency of RSAP and verify its elastic behavior under different deployment scenarios.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130979840","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 : 2020-07-15DOI: 10.1109/IISA50023.2020.9284416
Anna-Maria Velentza, E. Economou
The use of virtual reality in education is giving researchers new designing opportunities to create learning environments with characteristics that are difficult or even impossible to implement in the real world. There are plenty of educational, cognitive, architectural and neuroscience theories suggesting that certain environmental aspects can enhance the learning process. Such an example is the variation of lighting conditions, in terms of intensity (high or low luminance) and/or temperature (cold or warm), that have been shown to improve memory, attention and executive functions. In this paper, we investigate the differences between a real and a Virtual Learning Environment (VLE) regarding the effects of the lighting conditions on several cognitive functions while we apply, for the first time, certain lighting theories directly into a University level VLE. The first main outcome of our study is that lighting conditions in VLEs affect students’ cognitive functions in a similar way to traditional/physical learning environments, i.e. high luminance enhance memory, attention and executive functions when compared with low luminance. Our results indicate that if we need to test a cognitive or learning hypothesis, we can test it directly into a virtual environment since it gives us similar results/outcomes with those triggered in real one. Moreover, our results demonstrate that exposure to blue (cold) lighting in VLEs increase students’ scores, in the given pseudoword test, in comparison with their exposure to red (warm) lighting.
{"title":"Effects of Lighting Variations in Virtual Learning Environments","authors":"Anna-Maria Velentza, E. Economou","doi":"10.1109/IISA50023.2020.9284416","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284416","url":null,"abstract":"The use of virtual reality in education is giving researchers new designing opportunities to create learning environments with characteristics that are difficult or even impossible to implement in the real world. There are plenty of educational, cognitive, architectural and neuroscience theories suggesting that certain environmental aspects can enhance the learning process. Such an example is the variation of lighting conditions, in terms of intensity (high or low luminance) and/or temperature (cold or warm), that have been shown to improve memory, attention and executive functions. In this paper, we investigate the differences between a real and a Virtual Learning Environment (VLE) regarding the effects of the lighting conditions on several cognitive functions while we apply, for the first time, certain lighting theories directly into a University level VLE. The first main outcome of our study is that lighting conditions in VLEs affect students’ cognitive functions in a similar way to traditional/physical learning environments, i.e. high luminance enhance memory, attention and executive functions when compared with low luminance. Our results indicate that if we need to test a cognitive or learning hypothesis, we can test it directly into a virtual environment since it gives us similar results/outcomes with those triggered in real one. Moreover, our results demonstrate that exposure to blue (cold) lighting in VLEs increase students’ scores, in the given pseudoword test, in comparison with their exposure to red (warm) lighting.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133144387","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 : 2020-07-15DOI: 10.1109/IISA50023.2020.9284339
Eirini Zoumi, Emmanouil Skondras, N. Tsolis, A. Michalas, D. Vergados
Vehicular networks have emerged in recent years offering novel medical services to vehicular users. In-vehicle equipment such as On-Board Units (OBUs), Internet of Things (IoT) devices and sensors are used to supervise the health of on-board users and create an increasing amount of medical information. This information should be processed and then transmitted to medical units (e.g. hospitals) with the lowest possible processing and communication delays. Furthermore, it should be organized considering well-defined standards, in order to be easily reusable from third-party medical systems. Thus, the medical staff will be able to remotely provide immediate medical support to vehicular patients. In this paper, an interoperable Storage as a Service (STaaS) scheme which delivers medical data through a 5G wireless network architecture is described. The Health Level 7 (HL7) standard is applied for the manipulation of the collected medical data, ensuring the interoperability of the proposed scheme with third-party systems that use the same standard. The Web Ontology Language (OWL) is used to produce and manipulate the relative ontological descriptions about the collected data.
{"title":"A Storage as a Service scheme for supporting Medical Services on 5G Vehicular Networks","authors":"Eirini Zoumi, Emmanouil Skondras, N. Tsolis, A. Michalas, D. Vergados","doi":"10.1109/IISA50023.2020.9284339","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284339","url":null,"abstract":"Vehicular networks have emerged in recent years offering novel medical services to vehicular users. In-vehicle equipment such as On-Board Units (OBUs), Internet of Things (IoT) devices and sensors are used to supervise the health of on-board users and create an increasing amount of medical information. This information should be processed and then transmitted to medical units (e.g. hospitals) with the lowest possible processing and communication delays. Furthermore, it should be organized considering well-defined standards, in order to be easily reusable from third-party medical systems. Thus, the medical staff will be able to remotely provide immediate medical support to vehicular patients. In this paper, an interoperable Storage as a Service (STaaS) scheme which delivers medical data through a 5G wireless network architecture is described. The Health Level 7 (HL7) standard is applied for the manipulation of the collected medical data, ensuring the interoperability of the proposed scheme with third-party systems that use the same standard. The Web Ontology Language (OWL) is used to produce and manipulate the relative ontological descriptions about the collected data.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116004951","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 : 2020-07-15DOI: 10.1109/IISA50023.2020.9284375
Emmanouil Viennas, Zafeiria-Marina Ioannou, G. Pavlidis, Giannis Tzimas, E. Sakkopoulos
The present work aims at the systematic analysis of the requirements of the project, the highlighting of the functions that are useful for passengers and employees of the shippingcruise industry. In this work, the classification of users in terms of software use cases, the architecture of the approach and an integrated system of personalized secure boarding process is proposed. It includes detailed mapping, and processing of proposals on the software under development resulting from the end-user traditional Services examined, the cruise passenger and employee experience and know-how of cruise stakeholders as well as the national and international literature. The appropriate architectural design is defined by stating the technological parameters that are affected and the subsystems required. The goal is to create a roadmap to the most efficient technological options and to provide a comprehensive software design that will support the Agency’s customers and Service clients. In addition, all technological developments will be considered so that the implementing team is able to select all the functional components required to complete the project. Initial results are reported for a novel secure boarding process for cruise industry.
{"title":"HappyCruise: An architecture for Personalized Secure Boarding on Cruises","authors":"Emmanouil Viennas, Zafeiria-Marina Ioannou, G. Pavlidis, Giannis Tzimas, E. Sakkopoulos","doi":"10.1109/IISA50023.2020.9284375","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284375","url":null,"abstract":"The present work aims at the systematic analysis of the requirements of the project, the highlighting of the functions that are useful for passengers and employees of the shippingcruise industry. In this work, the classification of users in terms of software use cases, the architecture of the approach and an integrated system of personalized secure boarding process is proposed. It includes detailed mapping, and processing of proposals on the software under development resulting from the end-user traditional Services examined, the cruise passenger and employee experience and know-how of cruise stakeholders as well as the national and international literature. The appropriate architectural design is defined by stating the technological parameters that are affected and the subsystems required. The goal is to create a roadmap to the most efficient technological options and to provide a comprehensive software design that will support the Agency’s customers and Service clients. In addition, all technological developments will be considered so that the implementing team is able to select all the functional components required to complete the project. Initial results are reported for a novel secure boarding process for cruise industry.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125996910","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 : 2020-07-15DOI: 10.1109/IISA50023.2020.9284388
Vasileios Tsoulchas, N. Tsolis, Eirini Zoumi, Emmanouil Skondras, D. Vergados
During the last years, Internet of Things (IoT) is evolving rapidly, providing a vast range of equipment that fits in all aspects of modern life. Indicatively, wearable devices can be used for monitoring people’s health, since several people need continuous medical supervision due to health problems they face. Meanwhile the continuous monitoring of their health status with traditional ways, such as with daily visits at hospitals, brings several limitations to their daily lives while at the same time it does not provide supervision on a 24-hour basis. This paper proposes a model to monitor the health of people with diabetes melitus, a disease with high incident rates mainly at the elderly but also in younger people. Specifically, a study about the existing medically approved technologies for continuous measurement of diabetes is described. Subsequently, the model for monitoring patient’s blood glucose levels is descibed. Whenever a patient’s blood glucose levels are Low or High, the model triggers an alarm to a Cloud infrastructure in order remote medical staff to provide immediate cure to the patient. Furthermore, in order to assure the immediate response of the remote medical staff, the proposed model is deployed upon a 5G wireless network architecture.
{"title":"Health Monitoring of People with Diabetes using IoT and 5G Wireless Network Infrastructures","authors":"Vasileios Tsoulchas, N. Tsolis, Eirini Zoumi, Emmanouil Skondras, D. Vergados","doi":"10.1109/IISA50023.2020.9284388","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284388","url":null,"abstract":"During the last years, Internet of Things (IoT) is evolving rapidly, providing a vast range of equipment that fits in all aspects of modern life. Indicatively, wearable devices can be used for monitoring people’s health, since several people need continuous medical supervision due to health problems they face. Meanwhile the continuous monitoring of their health status with traditional ways, such as with daily visits at hospitals, brings several limitations to their daily lives while at the same time it does not provide supervision on a 24-hour basis. This paper proposes a model to monitor the health of people with diabetes melitus, a disease with high incident rates mainly at the elderly but also in younger people. Specifically, a study about the existing medically approved technologies for continuous measurement of diabetes is described. Subsequently, the model for monitoring patient’s blood glucose levels is descibed. Whenever a patient’s blood glucose levels are Low or High, the model triggers an alarm to a Cloud infrastructure in order remote medical staff to provide immediate cure to the patient. Furthermore, in order to assure the immediate response of the remote medical staff, the proposed model is deployed upon a 5G wireless network architecture.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122458837","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 : 2020-07-15DOI: 10.1109/IISA50023.2020.9284417
S. Mystakidis
Sustaining students’ interest and engagement in semester-long courses in distance learning settings is a tangible challenge in Higher Education. Social Virtual Reality platforms feature richer, spatial affordances in comparison to 2D, webbased synchronous and asynchronous systems. Gamification is a promising method which adds an additional, affective layer to learning in the direction of the enhancement of motivation. In this article the results of an exploratory study on student active engagement applying gamification in a postgraduate distance education course taught at a UK university are presented. Based on the design principles of a gamified course, student experiences and recommendations to practitioners are discussed.
{"title":"Distance Education Gamification in Social Virtual Reality: A Case Study on Student Engagement","authors":"S. Mystakidis","doi":"10.1109/IISA50023.2020.9284417","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284417","url":null,"abstract":"Sustaining students’ interest and engagement in semester-long courses in distance learning settings is a tangible challenge in Higher Education. Social Virtual Reality platforms feature richer, spatial affordances in comparison to 2D, webbased synchronous and asynchronous systems. Gamification is a promising method which adds an additional, affective layer to learning in the direction of the enhancement of motivation. In this article the results of an exploratory study on student active engagement applying gamification in a postgraduate distance education course taught at a UK university are presented. Based on the design principles of a gamified course, student experiences and recommendations to practitioners are discussed.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124976706","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 : 2020-07-15DOI: 10.1109/IISA50023.2020.9284412
Karen T. Fields, Noel T. Fortun, Geoffrey A. Solano, Angelyn R. Lao
Ordinary Differential Equation (ODE) requires the use of differential equations to describe the dynamically changing phenomena, evolution, and variation and Chemical Reaction Network (CRN) is a model that gives a more general interpretation of biochemical networks as it ties aspects of reaction network structure in a precise way. In this study, these computational approaches can be used to model biological networks in the form of disease or metabolic pathways. Given the availability of data from Kyoto Encyclopedia of Genes and Genomes (KEGG), the application can convert the selected pathways to S-system or Generalized Mass-Action (GMA) ODE, and this ODE can be extended to its corresponding CRN to show more intimate relationships between network structure and basic phenomena of biological functions.
{"title":"CRNet Translator: Building GMA, S-System Models and Chemical Reaction Networks of Disease and Metabolic Pathways","authors":"Karen T. Fields, Noel T. Fortun, Geoffrey A. Solano, Angelyn R. Lao","doi":"10.1109/IISA50023.2020.9284412","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284412","url":null,"abstract":"Ordinary Differential Equation (ODE) requires the use of differential equations to describe the dynamically changing phenomena, evolution, and variation and Chemical Reaction Network (CRN) is a model that gives a more general interpretation of biochemical networks as it ties aspects of reaction network structure in a precise way. In this study, these computational approaches can be used to model biological networks in the form of disease or metabolic pathways. Given the availability of data from Kyoto Encyclopedia of Genes and Genomes (KEGG), the application can convert the selected pathways to S-system or Generalized Mass-Action (GMA) ODE, and this ODE can be extended to its corresponding CRN to show more intimate relationships between network structure and basic phenomena of biological functions.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124999145","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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