Pub Date : 2016-07-13DOI: 10.1109/IISA.2016.7785358
Evangelos Spiliotis, Vangelis Marinakis, H. Doukas, J. Psarras
Smart grid technology has recently attracted a lot of attention since it enables the effective use of widespread energy sources and supports that way actions towards energy optimization and cost reduction. The benefits of adopting and promoting such a technology becomes even more promising given the advances in the field of renewable energy and Information and Communications Technology (ICT), which allow managing the energy sources available according to the respective demand in a smart and environmental friendly way. The main scope of this paper is to present an action plan in order to schedule the operation of heating and electricity systems towards energy cost optimization by taking advantage of smart grid and ICT infrastructures. The action plan, which has been developed to operate within a Decision Support System, is currently tested in the University Campus of Savona (Italy) in order to indicate the usefulness of the solution in a real life application.
{"title":"Integrating a decision support system with smart grid infrastructures and ICT solutions towards energy cost reduction: An action plan to optimally schedule the operation of heating and electricity systems","authors":"Evangelos Spiliotis, Vangelis Marinakis, H. Doukas, J. Psarras","doi":"10.1109/IISA.2016.7785358","DOIUrl":"https://doi.org/10.1109/IISA.2016.7785358","url":null,"abstract":"Smart grid technology has recently attracted a lot of attention since it enables the effective use of widespread energy sources and supports that way actions towards energy optimization and cost reduction. The benefits of adopting and promoting such a technology becomes even more promising given the advances in the field of renewable energy and Information and Communications Technology (ICT), which allow managing the energy sources available according to the respective demand in a smart and environmental friendly way. The main scope of this paper is to present an action plan in order to schedule the operation of heating and electricity systems towards energy cost optimization by taking advantage of smart grid and ICT infrastructures. The action plan, which has been developed to operate within a Decision Support System, is currently tested in the University Campus of Savona (Italy) in order to indicate the usefulness of the solution in a real life application.","PeriodicalId":381597,"journal":{"name":"2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124548613","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 : 2016-07-13DOI: 10.1109/IISA.2016.7785335
V. C. C. Roza, O. Postolache
Applications in Smart City context are improving the quality of life of citizens through several technological interactions. These interactions can be also used to relate the citizens' emotions to city's areas. Thus, the main objective of this work is to present a smart phone application that analyzes the citizens' emotions and the relations between these parameters and different city's areas. Daily the citizens deal with a variety of emotions due a set of factors such as, violence, street illumination or car noises, trash and pollution, for instance. The techniques used to do the acquisition of the citizens' emotions involve, heart rate (HR), heart rate variability (HRV) and galvanic skin response (GSR), measured by Shimmer3 sensors. Additionally the citizens fill an on-line questionnaire using a smart phone application. The acquired signals are also processed by a smart phone application that includes signal acquisition control, citizens' emotions analysis, emotion mapping, and data storage. Once identified and stored these citizens' emotions reported to a city's area, it can be represented by green, yellow or red color, circular icons that are plotted over the city's map, using the Google Maps API on the mobile application. Several tests for ten are presented.
{"title":"Citizen emotion analysis in Smart City","authors":"V. C. C. Roza, O. Postolache","doi":"10.1109/IISA.2016.7785335","DOIUrl":"https://doi.org/10.1109/IISA.2016.7785335","url":null,"abstract":"Applications in Smart City context are improving the quality of life of citizens through several technological interactions. These interactions can be also used to relate the citizens' emotions to city's areas. Thus, the main objective of this work is to present a smart phone application that analyzes the citizens' emotions and the relations between these parameters and different city's areas. Daily the citizens deal with a variety of emotions due a set of factors such as, violence, street illumination or car noises, trash and pollution, for instance. The techniques used to do the acquisition of the citizens' emotions involve, heart rate (HR), heart rate variability (HRV) and galvanic skin response (GSR), measured by Shimmer3 sensors. Additionally the citizens fill an on-line questionnaire using a smart phone application. The acquired signals are also processed by a smart phone application that includes signal acquisition control, citizens' emotions analysis, emotion mapping, and data storage. Once identified and stored these citizens' emotions reported to a city's area, it can be represented by green, yellow or red color, circular icons that are plotted over the city's map, using the Google Maps API on the mobile application. Several tests for ten are presented.","PeriodicalId":381597,"journal":{"name":"2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"549 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134259046","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 : 2016-07-13DOI: 10.1109/IISA.2016.7785345
P. Lagari, Antonia Nasiakou, Rafik Fainti, Keyou S. Mao, L. Tsoukalas, R. Bean, M. Alamaniotis
Dealing with issues related to safety of Nuclear Power Plants (NPPs) is of high importance and priority for assuring nonstop energy production. To enhance safety, modernization and upgrade of the aging installations by incorporating automation processes is unavoidable for many reasons, among them, environmental protection and lifetime extension of currently operating NPP. In that context, Human Machine Interface (HMI) applications are a subject of thorough study. The aim of this work is to develop a mechanism to evaluate the efficiency of HMI in nuclear power plant safety. To that end, HMI applications are addressed as a single joint system and they are not seen separately as a human and machine part. The proposed evaluator was implemented by utilizing Fuzzy Logic and holistic approaches. The implementation and all the experiments were conducted in Matlab by using the fuzzy toolbox.
{"title":"Evaluation of Human Machine Interface (HMI) in Nuclear Power Plants with Fuzzy Logic method","authors":"P. Lagari, Antonia Nasiakou, Rafik Fainti, Keyou S. Mao, L. Tsoukalas, R. Bean, M. Alamaniotis","doi":"10.1109/IISA.2016.7785345","DOIUrl":"https://doi.org/10.1109/IISA.2016.7785345","url":null,"abstract":"Dealing with issues related to safety of Nuclear Power Plants (NPPs) is of high importance and priority for assuring nonstop energy production. To enhance safety, modernization and upgrade of the aging installations by incorporating automation processes is unavoidable for many reasons, among them, environmental protection and lifetime extension of currently operating NPP. In that context, Human Machine Interface (HMI) applications are a subject of thorough study. The aim of this work is to develop a mechanism to evaluate the efficiency of HMI in nuclear power plant safety. To that end, HMI applications are addressed as a single joint system and they are not seen separately as a human and machine part. The proposed evaluator was implemented by utilizing Fuzzy Logic and holistic approaches. The implementation and all the experiments were conducted in Matlab by using the fuzzy toolbox.","PeriodicalId":381597,"journal":{"name":"2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129531740","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 : 2016-07-13DOI: 10.1109/IISA.2016.7785337
D. Moffat, O. Shabalina
The engineering disciplines are technical in nature, but that does not mean that engineers do not need to be creative. Engineering and science students could be asked to create new design ideas, but as they are still learning it might be bewildering for them to be confronted with too many choices. One solution might be to give them design constraints to help them focus their imaginations. In this study we asked students of game development to create small game designs, with or without extra constraints. They found it difficult to follow the constraints when asked to do so; and yet their creativity did not suffer when they did. The game designs were evaluated for creativity, novelty and quality, by a professor in the subject, but also by all the students themselves. The students were able to produce some creative designs, although some struggled to do so in the brief time they had. In peer assessment, they achieved good consistency amongst themselves, but diverged somewhat from the expert evaluator. The strongest performing students, however, also produced the most creative game ideas. This gives us confidence that both the creation and peer assessment exercises are worthwhile and informative, and potentially could benefit the students as they learn their discipline.
{"title":"Assessing creativity of game design students","authors":"D. Moffat, O. Shabalina","doi":"10.1109/IISA.2016.7785337","DOIUrl":"https://doi.org/10.1109/IISA.2016.7785337","url":null,"abstract":"The engineering disciplines are technical in nature, but that does not mean that engineers do not need to be creative. Engineering and science students could be asked to create new design ideas, but as they are still learning it might be bewildering for them to be confronted with too many choices. One solution might be to give them design constraints to help them focus their imaginations. In this study we asked students of game development to create small game designs, with or without extra constraints. They found it difficult to follow the constraints when asked to do so; and yet their creativity did not suffer when they did. The game designs were evaluated for creativity, novelty and quality, by a professor in the subject, but also by all the students themselves. The students were able to produce some creative designs, although some struggled to do so in the brief time they had. In peer assessment, they achieved good consistency amongst themselves, but diverged somewhat from the expert evaluator. The strongest performing students, however, also produced the most creative game ideas. This gives us confidence that both the creation and peer assessment exercises are worthwhile and informative, and potentially could benefit the students as they learn their discipline.","PeriodicalId":381597,"journal":{"name":"2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121790440","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 : 2016-07-13DOI: 10.1109/IISA.2016.7785359
H. Doukas, Vangelis Marinakis, Evangelos Spiliotis, J. Psarras
Making Smart Energy Cities (SEC) a reality requires an intelligent and integrated assessment and consideration of various data sets, as well as relevant intelligent systems in a transparent and accessible manner. The scope of this paper is to present an innovative package of decision support tools (entitled “OPTIMUS”) for energy managers and energy consultancies, in order to make cities more energy efficient and sustainable. OPTIMUS package includes the Smart City Energy Assessment Framework (SCEAF) Tool, the Tracker Tool and the Decision Support System (DSS). The purpose is to optimize the energy use in main city's buildings (municipal, office, educational and entertainment buildings, buildings for sports facilities, etc.), taking into consideration their interaction with energy systems, such as renewable energy production, smart district heating and cooling grids through CHP (Combined Heat and Power) and other energy sources.
{"title":"OPTIMUS decision support tools: Transforming multidisciplinary data to energy management action plans","authors":"H. Doukas, Vangelis Marinakis, Evangelos Spiliotis, J. Psarras","doi":"10.1109/IISA.2016.7785359","DOIUrl":"https://doi.org/10.1109/IISA.2016.7785359","url":null,"abstract":"Making Smart Energy Cities (SEC) a reality requires an intelligent and integrated assessment and consideration of various data sets, as well as relevant intelligent systems in a transparent and accessible manner. The scope of this paper is to present an innovative package of decision support tools (entitled “OPTIMUS”) for energy managers and energy consultancies, in order to make cities more energy efficient and sustainable. OPTIMUS package includes the Smart City Energy Assessment Framework (SCEAF) Tool, the Tracker Tool and the Decision Support System (DSS). The purpose is to optimize the energy use in main city's buildings (municipal, office, educational and entertainment buildings, buildings for sports facilities, etc.), taking into consideration their interaction with energy systems, such as renewable energy production, smart district heating and cooling grids through CHP (Combined Heat and Power) and other energy sources.","PeriodicalId":381597,"journal":{"name":"2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133243826","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 : 2016-07-13DOI: 10.1109/IISA.2016.7785414
Nikos Fazakis, Stamatis Karlos, S. Kotsiantis, K. Sgarbas
Exploiting both labeled and unlabeled instances of various problems seems a really promising strategy, since useful information that is contained on the latter pool of data is discarded during supervised approaches. However, the size of the unlabeled data that needs to be examined is usually extremely large and efficient algorithms should be utilized in such cases. Hidden Naive Bayes (HNB) model constitutes a computational cheap variant of Bayesian networks. In this work, HNB has been used as the base classifier of Self-training scheme for classification problems. Its results over 36 UCI datasets prove that a robust behavior can be achieved with only one hidden layer even under strict time restrictions.
{"title":"Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification","authors":"Nikos Fazakis, Stamatis Karlos, S. Kotsiantis, K. Sgarbas","doi":"10.1109/IISA.2016.7785414","DOIUrl":"https://doi.org/10.1109/IISA.2016.7785414","url":null,"abstract":"Exploiting both labeled and unlabeled instances of various problems seems a really promising strategy, since useful information that is contained on the latter pool of data is discarded during supervised approaches. However, the size of the unlabeled data that needs to be examined is usually extremely large and efficient algorithms should be utilized in such cases. Hidden Naive Bayes (HNB) model constitutes a computational cheap variant of Bayesian networks. In this work, HNB has been used as the base classifier of Self-training scheme for classification problems. Its results over 36 UCI datasets prove that a robust behavior can be achieved with only one hidden layer even under strict time restrictions.","PeriodicalId":381597,"journal":{"name":"2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134373793","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 : 2016-07-13DOI: 10.1109/IISA.2016.7785412
T. Nguyen, A. Kravets
Virtual social networks play an important role in modern life. This paper describes the module for Analysis of social network Facebook comments based on the features of Facebook Graph API. The study aims to identify the areas of interest of the user. We identify the interests of some users and compared them with the interests of their friends and consider the extent to which their interests coincide.
{"title":"Analysis of the social network facebook comments","authors":"T. Nguyen, A. Kravets","doi":"10.1109/IISA.2016.7785412","DOIUrl":"https://doi.org/10.1109/IISA.2016.7785412","url":null,"abstract":"Virtual social networks play an important role in modern life. This paper describes the module for Analysis of social network Facebook comments based on the features of Facebook Graph API. The study aims to identify the areas of interest of the user. We identify the interests of some users and compared them with the interests of their friends and consider the extent to which their interests coincide.","PeriodicalId":381597,"journal":{"name":"2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126449680","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 : 2016-07-13DOI: 10.1109/IISA.2016.7785435
Stamatis Karlos, S. Kotsiantis, Nikos Fazakis, K. Sgarbas
Adoption of techniques from fields related with Data Science, such as Machine Learning, Data Mining and Predictive Analysis, in the task of bankruptcy prediction can produce useful knowledge for both the policy makers and the organizations that are already funding or are interested in acting towards this direction in the near future. The nature of this task prevents analysts from collecting large amount of data for building accurate predictive models. Semi-supervised algorithms overcome this phenomenon and can perform robust behavior based on a few data. Experiments using data from Greek firms have been made in this work, comparing many semi-supervised schemes against well-known supervised algorithms and the results are promising.
{"title":"Effectiveness of semi-supervised learning in bankruptcy prediction","authors":"Stamatis Karlos, S. Kotsiantis, Nikos Fazakis, K. Sgarbas","doi":"10.1109/IISA.2016.7785435","DOIUrl":"https://doi.org/10.1109/IISA.2016.7785435","url":null,"abstract":"Adoption of techniques from fields related with Data Science, such as Machine Learning, Data Mining and Predictive Analysis, in the task of bankruptcy prediction can produce useful knowledge for both the policy makers and the organizations that are already funding or are interested in acting towards this direction in the near future. The nature of this task prevents analysts from collecting large amount of data for building accurate predictive models. Semi-supervised algorithms overcome this phenomenon and can perform robust behavior based on a few data. Experiments using data from Greek firms have been made in this work, comparing many semi-supervised schemes against well-known supervised algorithms and the results are promising.","PeriodicalId":381597,"journal":{"name":"2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129552327","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 : 2016-07-13DOI: 10.1109/IISA.2016.7785343
Fotios Tagkalakis, Aimilia Papagiannaki, G. Drakopoulos, V. Megalooikonomou
fMRI is an established neuroimaging technique providing a snapshot sequence of brain activity with very high spatial resolution. An efficient data mining algorithm is proposed for agumenting voxel activation detection, best performed spatially, with task-specific information, which is primarily temporal. Thus, the observation of evolution of brain region co-activation through fMRI is enhanced. Also, based on the AAL2 standard brain atlas, a neurophysiological interpretation of the findings during a motor task is offered, strengthening the validity of the proposed algorithm.
{"title":"Augmenting fMRI-generated brain connectivity with temporal information","authors":"Fotios Tagkalakis, Aimilia Papagiannaki, G. Drakopoulos, V. Megalooikonomou","doi":"10.1109/IISA.2016.7785343","DOIUrl":"https://doi.org/10.1109/IISA.2016.7785343","url":null,"abstract":"fMRI is an established neuroimaging technique providing a snapshot sequence of brain activity with very high spatial resolution. An efficient data mining algorithm is proposed for agumenting voxel activation detection, best performed spatially, with task-specific information, which is primarily temporal. Thus, the observation of evolution of brain region co-activation through fMRI is enhanced. Also, based on the AAL2 standard brain atlas, a neurophysiological interpretation of the findings during a motor task is offered, strengthening the validity of the proposed algorithm.","PeriodicalId":381597,"journal":{"name":"2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134230219","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 : 2016-07-13DOI: 10.1109/IISA.2016.7785406
P. López-Iturri, E. Aguirre, F. Falcone, L. Azpilicueta, Fran Casino, A. Solanas
The evolution of health systems derives in the implementation of Smart Health, integrated within the framework of Smart Cities and Smart Regions. In this context, vehicular communications provide additional means of interaction among users, administration and health professionals. In this work, characterization of wireless communication between ambulance and urban deployed access points will be analyzed, in order to assess operating conditions and service availability.
{"title":"Analysis of vehicular connectivity in smart health service provision scenarios","authors":"P. López-Iturri, E. Aguirre, F. Falcone, L. Azpilicueta, Fran Casino, A. Solanas","doi":"10.1109/IISA.2016.7785406","DOIUrl":"https://doi.org/10.1109/IISA.2016.7785406","url":null,"abstract":"The evolution of health systems derives in the implementation of Smart Health, integrated within the framework of Smart Cities and Smart Regions. In this context, vehicular communications provide additional means of interaction among users, administration and health professionals. In this work, characterization of wireless communication between ambulance and urban deployed access points will be analyzed, in order to assess operating conditions and service availability.","PeriodicalId":381597,"journal":{"name":"2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123622755","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：