Pub Date : 2021-09-24DOI: 10.1109/SEEDA-CECNSM53056.2021.9566242
Christina Nousi, Christos Tjortjis
Application of Machine Learning (ML) and sentiment analysis on data from microblogging services has become a common approach for stock market prediction. In this paper, we propose a methodology using sentiment analysis on Twitter and StockTwits data for Stock movement prediction. The methodology was evaluated by analyzing stock movement and sentiment data. We present a case study focusing on Microsoft stock. We collected tweets from Twitter and StockTwits along with financial data extracted from Finance Yahoo. Sentiment analysis was applied on tweets, and two ML models namely SVM and Logistic Regression were implemented. Best results were achieved when using tweets from Twitter with VADER and SVM. Top F-score was 76.3% and top Area Under Curve (AUC) was 67%. SVM also achieves the greatest accuracy equal to 65.8%, when using StockTwits with TextBlob on this imbalanced data set.
{"title":"A Methodology for Stock Movement Prediction Using Sentiment Analysis on Twitter and StockTwits Data","authors":"Christina Nousi, Christos Tjortjis","doi":"10.1109/SEEDA-CECNSM53056.2021.9566242","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM53056.2021.9566242","url":null,"abstract":"Application of Machine Learning (ML) and sentiment analysis on data from microblogging services has become a common approach for stock market prediction. In this paper, we propose a methodology using sentiment analysis on Twitter and StockTwits data for Stock movement prediction. The methodology was evaluated by analyzing stock movement and sentiment data. We present a case study focusing on Microsoft stock. We collected tweets from Twitter and StockTwits along with financial data extracted from Finance Yahoo. Sentiment analysis was applied on tweets, and two ML models namely SVM and Logistic Regression were implemented. Best results were achieved when using tweets from Twitter with VADER and SVM. Top F-score was 76.3% and top Area Under Curve (AUC) was 67%. SVM also achieves the greatest accuracy equal to 65.8%, when using StockTwits with TextBlob on this imbalanced data set.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77854051","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 : 2021-09-24DOI: 10.1109/SEEDA-CECNSM53056.2021.9566229
E. Malliou, Spyridon Doukakis, Sarah Vlachou, Evangelia Filippakopoulou
Online learning had a decisive role in all levels of education during the pandemic. In this study, we will explore adult vocational education students of computer science that experienced the online education during the school academic year 2020–2021. The study attempts to explore the views of 10 adult students. At the same time, an attempt is made to determine the role of educational neuroscience in students' learning. Participants were asked to answer 14 questions about the online education they had experienced. This was followed by data analysis using NVivo software. According to the findings, 6 students identified the reasons why they prefer to be educated in a physical learning environment and 1 student stated that he prefers a mixed model that will include lessons with both physical and online presence. In addition, 9 out of 10 students stated that they prefer synchronous online teaching to asynchronous. Also, 7 out of 10 students identified that in the theoretical part they were able to achieve the expected learning outcomes but on the other hand, 6 out of 10 learners reported difficulties in attending the workshops. Nevertheless, 8 out of 10 stated that they were quite consistent with the obligations they had during the course. The findings indicate that the principles of educational neuroscience can be a critical component of effective online learning.
{"title":"Exploring the role of educational neuroscience in learning through the perspectives of adult vocational education students of computer science in the field of online learning. A case study","authors":"E. Malliou, Spyridon Doukakis, Sarah Vlachou, Evangelia Filippakopoulou","doi":"10.1109/SEEDA-CECNSM53056.2021.9566229","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM53056.2021.9566229","url":null,"abstract":"Online learning had a decisive role in all levels of education during the pandemic. In this study, we will explore adult vocational education students of computer science that experienced the online education during the school academic year 2020–2021. The study attempts to explore the views of 10 adult students. At the same time, an attempt is made to determine the role of educational neuroscience in students' learning. Participants were asked to answer 14 questions about the online education they had experienced. This was followed by data analysis using NVivo software. According to the findings, 6 students identified the reasons why they prefer to be educated in a physical learning environment and 1 student stated that he prefers a mixed model that will include lessons with both physical and online presence. In addition, 9 out of 10 students stated that they prefer synchronous online teaching to asynchronous. Also, 7 out of 10 students identified that in the theoretical part they were able to achieve the expected learning outcomes but on the other hand, 6 out of 10 learners reported difficulties in attending the workshops. Nevertheless, 8 out of 10 stated that they were quite consistent with the obligations they had during the course. The findings indicate that the principles of educational neuroscience can be a critical component of effective online learning.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81359627","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 : 2021-09-24DOI: 10.1109/SEEDA-CECNSM53056.2021.9566212
S. Bandopadhyay, T. Dimitrakos, Yair Diaz, Alicia Y Hariri, Tezcan Dilshener, Antonio La Marra, A. Rosetti
This paper introduces a new model for handling data privacy throughout data lifecycle via the introduction of a policy profile using the Abbreviated Language For Authorization (ALFA) policy language. Our approach extends previous models In three complementary ways: (1) By introducing Administration and Delegation Profile (ADP) in ALFA policy where users and companies can restrict the scope of access/usage policies related to data as well as specify a chain of custody for data (moreover such an approach eases up the tasks of handling users' consent); (2) Thanks to our framework Usage Control System Plus (UCS+) users can monitor the usage of data and revoke its usage upon specific conditions or at will; (3) By introducing new states for policy evaluation, i.e. Admissible/NotAdmissible to filter out those applicable policies that were unauthorized in the first place.
本文通过引入使用缩写授权语言(缩写Language for Authorization, ALFA)策略语言的策略概要，介绍了一个在整个数据生命周期中处理数据隐私的新模型。我们的方法以三种互补的方式扩展了以前的模型:(1)通过在ALFA政策中引入管理和授权配置文件(ADP)，用户和公司可以限制与数据相关的访问/使用政策的范围，并指定数据的监管链(此外，这种方法简化了处理用户同意的任务);(2)由于我们的框架使用控制系统Plus (UCS+)，用户可以监控数据的使用情况，并在特定情况下或随意撤销其使用;(3)通过引入新的状态进行策略评估，即adeable / notadeable，过滤掉那些一开始就未经授权的适用策略。
{"title":"DataPAL: Data Protection and Authorization Lifecycle framework","authors":"S. Bandopadhyay, T. Dimitrakos, Yair Diaz, Alicia Y Hariri, Tezcan Dilshener, Antonio La Marra, A. Rosetti","doi":"10.1109/SEEDA-CECNSM53056.2021.9566212","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM53056.2021.9566212","url":null,"abstract":"This paper introduces a new model for handling data privacy throughout data lifecycle via the introduction of a policy profile using the Abbreviated Language For Authorization (ALFA) policy language. Our approach extends previous models In three complementary ways: (1) By introducing Administration and Delegation Profile (ADP) in ALFA policy where users and companies can restrict the scope of access/usage policies related to data as well as specify a chain of custody for data (moreover such an approach eases up the tasks of handling users' consent); (2) Thanks to our framework Usage Control System Plus (UCS+) users can monitor the usage of data and revoke its usage upon specific conditions or at will; (3) By introducing new states for policy evaluation, i.e. Admissible/NotAdmissible to filter out those applicable policies that were unauthorized in the first place.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80861666","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 : 2021-09-24DOI: 10.1109/SEEDA-CECNSM53056.2021.9566222
Panagiotis Drakatos, Eleni Koutrouli, A. Tsalgatidou
The abrupt development of cryptocurrencies and blockchain technology has pointed to the importance of deploying large scale, highly robust Byzantine fault-tolerant schemes to handle critical distributed failures in system networks. Although traditional wisdom is to build systems by following synchronous protocols such as PBFT consensus, these protocols strongly rely on network time limitations and only guarantee liveness when the nodes behave arbitrary. This paper presents the design and implementation of Adrastus, a scalable blockchain system. The main contributions of Adrastus are the use of a consistent hashing mechanism which solves load balancing problems and the efficient assignment of transactions on parallel regions of single-chain consensus systems, referred to as zones, without introducing unnecessary overhead. We claim that the Adrastus blockchain system scales linearly without compromising system security. We present theoretical analysis, discuss our solution, and examine the conditions to meet both safety and liveness of our fault-tolerant system.
{"title":"Rapid Blockchain Scaling with Efficient Transaction Assignment","authors":"Panagiotis Drakatos, Eleni Koutrouli, A. Tsalgatidou","doi":"10.1109/SEEDA-CECNSM53056.2021.9566222","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM53056.2021.9566222","url":null,"abstract":"The abrupt development of cryptocurrencies and blockchain technology has pointed to the importance of deploying large scale, highly robust Byzantine fault-tolerant schemes to handle critical distributed failures in system networks. Although traditional wisdom is to build systems by following synchronous protocols such as PBFT consensus, these protocols strongly rely on network time limitations and only guarantee liveness when the nodes behave arbitrary. This paper presents the design and implementation of Adrastus, a scalable blockchain system. The main contributions of Adrastus are the use of a consistent hashing mechanism which solves load balancing problems and the efficient assignment of transactions on parallel regions of single-chain consensus systems, referred to as zones, without introducing unnecessary overhead. We claim that the Adrastus blockchain system scales linearly without compromising system security. We present theoretical analysis, discuss our solution, and examine the conditions to meet both safety and liveness of our fault-tolerant system.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90189290","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 : 2021-09-24DOI: 10.1109/SEEDA-CECNSM53056.2021.9566220
M. Kalafati, A. Kakarountas
The exponential growth of the number and variety of monitoring devices for patients in the hospital, as well as the improvement of medical equipment and hygiene conditions constitute the core of eHealth projects nowadays. In this study, an assistant, smart nightstand near patient's bed and a novel platform are presented, which have the ability to take vital signs in time via sensors which are connected with the patient and simultaneously the data are sent in the central nursing station. The platform has also an interactive role with patients as it will also contribute to their entertainment. Also, the sterilization of objects with UV lamps has been widely introduced in our daily life, mainly due to Covid-19 and other viruses and bacteria that exist in hospitals and patients are at risk of infection. Thus, we have constructed in our nightstand a disinfection area for the patient's personal hygiene items. Last but not least, we have introduced a construction of drug dispenser which will alert the patient to the drop of his medication.
{"title":"A Smart Assistant Nightstand For Hospitals","authors":"M. Kalafati, A. Kakarountas","doi":"10.1109/SEEDA-CECNSM53056.2021.9566220","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM53056.2021.9566220","url":null,"abstract":"The exponential growth of the number and variety of monitoring devices for patients in the hospital, as well as the improvement of medical equipment and hygiene conditions constitute the core of eHealth projects nowadays. In this study, an assistant, smart nightstand near patient's bed and a novel platform are presented, which have the ability to take vital signs in time via sensors which are connected with the patient and simultaneously the data are sent in the central nursing station. The platform has also an interactive role with patients as it will also contribute to their entertainment. Also, the sterilization of objects with UV lamps has been widely introduced in our daily life, mainly due to Covid-19 and other viruses and bacteria that exist in hospitals and patients are at risk of infection. Thus, we have constructed in our nightstand a disinfection area for the patient's personal hygiene items. Last but not least, we have introduced a construction of drug dispenser which will alert the patient to the drop of his medication.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86587973","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 : 2021-09-24DOI: 10.1109/SEEDA-CECNSM53056.2021.9566265
S. Mystakidis, George Papantzikos, C. Stylios
Science, Technology, Engineering and Mathematics (STEM) skills comprise a crucial meta-discipline for success in the 21st century. Education in the industry 4.0 era can be enhanced by adopting Virtual (VR), Mixed (MR), and Augmented (AR). VR can support creative student-centered teaching and learning methods in STEM, such as playful learning, gameful learning (gamification), and serious games. Serious escape rooms are digital interactive, live adventure breakout games with a pedagogical rationale. This paper examines the perceptions of K-12 school education teachers towards digital educational escape rooms for STEM education in VR environments. Twenty-eight Greek teachers responded to a questionnaire after having experienced a cost-effective science-themed digital escape room. Results indicate that teachers reacted positively to the VR escape room, appreciating its value for learning. Moreover, they are eager to engage in professional development activities and embrace gameful learning methods.
{"title":"Virtual Reality Escape Rooms for STEM Education in Industry 4.0: Greek Teachers Perspectives","authors":"S. Mystakidis, George Papantzikos, C. Stylios","doi":"10.1109/SEEDA-CECNSM53056.2021.9566265","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM53056.2021.9566265","url":null,"abstract":"Science, Technology, Engineering and Mathematics (STEM) skills comprise a crucial meta-discipline for success in the 21st century. Education in the industry 4.0 era can be enhanced by adopting Virtual (VR), Mixed (MR), and Augmented (AR). VR can support creative student-centered teaching and learning methods in STEM, such as playful learning, gameful learning (gamification), and serious games. Serious escape rooms are digital interactive, live adventure breakout games with a pedagogical rationale. This paper examines the perceptions of K-12 school education teachers towards digital educational escape rooms for STEM education in VR environments. Twenty-eight Greek teachers responded to a questionnaire after having experienced a cost-effective science-themed digital escape room. Results indicate that teachers reacted positively to the VR escape room, appreciating its value for learning. Moreover, they are eager to engage in professional development activities and embrace gameful learning methods.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85811751","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 : 2021-09-24DOI: 10.1109/SEEDA-CECNSM53056.2021.9566233
Muhammad Abu Talha, Adeel Zafar
Parody is a widespread comic on different social media platforms. As the usage of social media increases, the number of parody accounts increases as well. The main purpose of parody accounts is to spread fake news or to criticize someone in comic ways. In this paper, we investigate parody for different social media accounts. For this study, a customized tweets dataset is created related to different Pakistani personalities and companies. The experiment is carried out using different machine learning and deep learning methods. Our results indicate an accuracy of 92% using RoBERTa.
{"title":"Investigating Parody from Social Media Accounts","authors":"Muhammad Abu Talha, Adeel Zafar","doi":"10.1109/SEEDA-CECNSM53056.2021.9566233","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM53056.2021.9566233","url":null,"abstract":"Parody is a widespread comic on different social media platforms. As the usage of social media increases, the number of parody accounts increases as well. The main purpose of parody accounts is to spread fake news or to criticize someone in comic ways. In this paper, we investigate parody for different social media accounts. For this study, a customized tweets dataset is created related to different Pakistani personalities and companies. The experiment is carried out using different machine learning and deep learning methods. Our results indicate an accuracy of 92% using RoBERTa.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90364927","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 : 2021-09-24DOI: 10.1109/SEEDA-CECNSM53056.2021.9566216
Vasileios Christou, Alexandros Bantaloukas-Arjmand, D. Dimopoulos, D. Varvarousis, A. Tzallas, Ch Gogos, M. Tsipouras, A. Ploumis, N. Giannakeas
This article introduces a method that can automatically classify the hemiplegia type (right or left side of the body is paralyzed) between healthy and non-healthy subjects. The proposed method utilizes the data taken from the accelerometer sensor of the RehaGait mobile gait analysis system. These data undergo a pre-processing and feature extraction stage before being sent as input to a scaled conjugate gradient backpropagation (SCG-BP) trained neural network. The proposed system is tested using a custom-created dataset containing 10 healthy and 20 patients suffering from hemiplegia (right or left). The experimental part of the system utilized 7 sensors placed on the left and right foot, the left and right shank, the left and right thigh, and the hip of each subject. Each sensor captured a 3-dimensional (3D) signal from 3 different device types: accelerometer, magnetometer, and gyroscope. The system utilized and split into 2-second windows only the accelerometer data, achieving a classification accuracy of 87.71%.
{"title":"Neural Network-Based approach for Hemiplegia Detection via Accelerometer Signals","authors":"Vasileios Christou, Alexandros Bantaloukas-Arjmand, D. Dimopoulos, D. Varvarousis, A. Tzallas, Ch Gogos, M. Tsipouras, A. Ploumis, N. Giannakeas","doi":"10.1109/SEEDA-CECNSM53056.2021.9566216","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM53056.2021.9566216","url":null,"abstract":"This article introduces a method that can automatically classify the hemiplegia type (right or left side of the body is paralyzed) between healthy and non-healthy subjects. The proposed method utilizes the data taken from the accelerometer sensor of the RehaGait mobile gait analysis system. These data undergo a pre-processing and feature extraction stage before being sent as input to a scaled conjugate gradient backpropagation (SCG-BP) trained neural network. The proposed system is tested using a custom-created dataset containing 10 healthy and 20 patients suffering from hemiplegia (right or left). The experimental part of the system utilized 7 sensors placed on the left and right foot, the left and right shank, the left and right thigh, and the hip of each subject. Each sensor captured a 3-dimensional (3D) signal from 3 different device types: accelerometer, magnetometer, and gyroscope. The system utilized and split into 2-second windows only the accelerometer data, achieving a classification accuracy of 87.71%.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90667027","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 : 2021-09-24DOI: 10.1109/SEEDA-CECNSM53056.2021.9566237
Marco Zecchini, Alessandra Anna Griesi, I. Chatzigiannakis, I. Mavrommati, Dimitrios Amaxilatis, O. Akrivopoulos
Aquatic environments are cornerstone for the existence of life, while water scarcity and unsafe water supply are major global issues affecting citizens [37]. Recently, the deployment of Internet of Things over water distribution networks has indicated ways to address some of these issues. Yet, policies for sustainable and efficient use of the aquatic resources depend largely on citizen's engagement. The use of data arriving from water metering and water quality sensors in educational environments as a mean to educate citizens and inspire environmental friendly behaviours has not been studied throughly in the past, mainly due to the lack of real-world data. Towards this end, real-world data collected by smart water meters can become a powerful tool to bridge digital and physical environments to support design for sustainable behaviour. A data-driven approach is adopted here that evaluates the effect of human actions related to the consumption of water within an educational setting. The data used in this study is collected from a pilot deployment of a 24 months period and is analyzed on weekly, daily and hourly basis to identify usage patterns. The examined period also includes the restrictions imposed by the local authorities as a response to the COVID-19 emergency taking place during the first quarter of 2020. The evaluation of water consumption before, during and after the lockdown period highlights the impact of human actions within the educational environment. The paper investigates how to design educational activities for sustainable behaviour based on the analysis of the data collected from the smart water grid.
{"title":"Using IoT Data-Driven Analysis of Water Consumption to support Design for Sustainable Behaviour during the COVID-19 Pandemic","authors":"Marco Zecchini, Alessandra Anna Griesi, I. Chatzigiannakis, I. Mavrommati, Dimitrios Amaxilatis, O. Akrivopoulos","doi":"10.1109/SEEDA-CECNSM53056.2021.9566237","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM53056.2021.9566237","url":null,"abstract":"Aquatic environments are cornerstone for the existence of life, while water scarcity and unsafe water supply are major global issues affecting citizens [37]. Recently, the deployment of Internet of Things over water distribution networks has indicated ways to address some of these issues. Yet, policies for sustainable and efficient use of the aquatic resources depend largely on citizen's engagement. The use of data arriving from water metering and water quality sensors in educational environments as a mean to educate citizens and inspire environmental friendly behaviours has not been studied throughly in the past, mainly due to the lack of real-world data. Towards this end, real-world data collected by smart water meters can become a powerful tool to bridge digital and physical environments to support design for sustainable behaviour. A data-driven approach is adopted here that evaluates the effect of human actions related to the consumption of water within an educational setting. The data used in this study is collected from a pilot deployment of a 24 months period and is analyzed on weekly, daily and hourly basis to identify usage patterns. The examined period also includes the restrictions imposed by the local authorities as a response to the COVID-19 emergency taking place during the first quarter of 2020. The evaluation of water consumption before, during and after the lockdown period highlights the impact of human actions within the educational environment. The paper investigates how to design educational activities for sustainable behaviour based on the analysis of the data collected from the smart water grid.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86131582","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 : 2021-09-24DOI: 10.1109/SEEDA-CECNSM53056.2021.9566262
Anastasios Andronikidis, E. Samara, Ioannis Bakouros, N. Komninos, Efthymios Katsoras
The use of Smart Technologies in Regional Innovation Systems (RIS) for Regional Development is the main topic of this study. A dynamic model has been created that depicts the contribution of smart technologies to the actors of a Regional Innovation System. In this paper we analyse the first three out of five stages of system dynamics structure approach, namely we start by identifying the problem recognition, we move on to the description of the system and we conclude with the qualitative analysis which demonstrates the causal-loop diagram of the Regional Innovation System.
{"title":"System dynamics modelling to study the impact of digital technologies on regional development","authors":"Anastasios Andronikidis, E. Samara, Ioannis Bakouros, N. Komninos, Efthymios Katsoras","doi":"10.1109/SEEDA-CECNSM53056.2021.9566262","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM53056.2021.9566262","url":null,"abstract":"The use of Smart Technologies in Regional Innovation Systems (RIS) for Regional Development is the main topic of this study. A dynamic model has been created that depicts the contribution of smart technologies to the actors of a Regional Innovation System. In this paper we analyse the first three out of five stages of system dynamics structure approach, namely we start by identifying the problem recognition, we move on to the description of the system and we conclude with the qualitative analysis which demonstrates the causal-loop diagram of the Regional Innovation System.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84959308","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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