Pub Date : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932982
Angelos Zacharia, Dimitris Zacharia, Aristeidis Karras, Christos N. Karras, I. Giannoukou, K. Giotopoulos, S. Sioutas
In the modern era of Internet of Things (IoT) and Industry 4.0 there is a growing need for intelligent microcontrollers that can collect, sense and analyse data effectively and efficiently. Such devices can be installed in large scale IoT deployments ranging from smart homes to smart cities and smart buildings. The aim of these devices shall be not only data monitoring but at the same time energy saving and overall building management. In the context of this paper, an all-in-one microprocessor is presented, namely ZAC888DP, which can sense data from multivariate sources and perform data analytics on top of the collected data. Moreover, machine learning (ML) models are deployed in the embedded memory of the device and specifically TinyML methods using a tflite file. The aim of the developed ML model is to collect data from four heterogeneous sources (water sensor, light sensor, humidity and temperature) in order to identify and forecast possible lavatory accidents. The experimental results of this work are encouraging as the model managed to achieve 100 percentage accuracy after 256 iterations. Future directions include the integration of the device with a neural network that will be trained on top of the pre-trained model in order to increase the overall precision even further.
{"title":"An Intelligent Microprocessor Integrating TinyML in Smart Hotels for Rapid Accident Prevention","authors":"Angelos Zacharia, Dimitris Zacharia, Aristeidis Karras, Christos N. Karras, I. Giannoukou, K. Giotopoulos, S. Sioutas","doi":"10.1109/SEEDA-CECNSM57760.2022.9932982","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932982","url":null,"abstract":"In the modern era of Internet of Things (IoT) and Industry 4.0 there is a growing need for intelligent microcontrollers that can collect, sense and analyse data effectively and efficiently. Such devices can be installed in large scale IoT deployments ranging from smart homes to smart cities and smart buildings. The aim of these devices shall be not only data monitoring but at the same time energy saving and overall building management. In the context of this paper, an all-in-one microprocessor is presented, namely ZAC888DP, which can sense data from multivariate sources and perform data analytics on top of the collected data. Moreover, machine learning (ML) models are deployed in the embedded memory of the device and specifically TinyML methods using a tflite file. The aim of the developed ML model is to collect data from four heterogeneous sources (water sensor, light sensor, humidity and temperature) in order to identify and forecast possible lavatory accidents. The experimental results of this work are encouraging as the model managed to achieve 100 percentage accuracy after 256 iterations. Future directions include the integration of the device with a neural network that will be trained on top of the pre-trained model in order to increase the overall precision even further.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75089506","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 : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932979
D. Amanatidis, I. Mylona, Michael F. Dossis
In the paper, we consider the general attitude towards and degree of engagement of users with social media and make an effort to explore whether their personal behaviour and points of view affect their online practices as well. Data that were collected with a questionnaire are structured in a dataset which undergoes the process of factor analysis. The objective of the analysis is, apart from dimensionality reduction, to understand what are the main constructs that influence users in their online consumer behaviour. We identify three such factors having significant impact on their buying practices. The model derived can be of particular value to e.g., marketing executives in their product and services promotion strategies.
{"title":"Social Media and Consumer Behaviour: Exploratory Factor Analysis","authors":"D. Amanatidis, I. Mylona, Michael F. Dossis","doi":"10.1109/SEEDA-CECNSM57760.2022.9932979","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932979","url":null,"abstract":"In the paper, we consider the general attitude towards and degree of engagement of users with social media and make an effort to explore whether their personal behaviour and points of view affect their online practices as well. Data that were collected with a questionnaire are structured in a dataset which undergoes the process of factor analysis. The objective of the analysis is, apart from dimensionality reduction, to understand what are the main constructs that influence users in their online consumer behaviour. We identify three such factors having significant impact on their buying practices. The model derived can be of particular value to e.g., marketing executives in their product and services promotion strategies.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73985489","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 : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932911
Zoe Christidi, E. Christopoulou
Nowadays there is a strong interest in the educational community and society in innovative technologies and more specifically on STEAM (Science, Technology, Engineering, Art and Mathematics) education and robotics. Via STEAM education and educational robotics the learning process and the development of students’ skills can undoubtedly be supported and developed. Additionally, students advance problem-solving and 21st century skills, like critical thinking, creativity and communication. The main aim of our research is to raise the environmental awareness of kindergarten students who were involved in educational robotics and STEAM education activities. This research study was completed as part of a real process, where our students, aged 4 to 6 years old, participated in eight educational activities focusing on water pollution and utilizing the programmable Blue Bot robot. Our research revealed that young students developed and acquired knowledge of programming and algorithmic thinking in a playful way through the use of the educational robot and managed to develop their cognitive and communication skills.
{"title":"Environmental Awareness in Preschool Education via Educational Robotics and STEAM Education","authors":"Zoe Christidi, E. Christopoulou","doi":"10.1109/SEEDA-CECNSM57760.2022.9932911","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932911","url":null,"abstract":"Nowadays there is a strong interest in the educational community and society in innovative technologies and more specifically on STEAM (Science, Technology, Engineering, Art and Mathematics) education and robotics. Via STEAM education and educational robotics the learning process and the development of students’ skills can undoubtedly be supported and developed. Additionally, students advance problem-solving and 21st century skills, like critical thinking, creativity and communication. The main aim of our research is to raise the environmental awareness of kindergarten students who were involved in educational robotics and STEAM education activities. This research study was completed as part of a real process, where our students, aged 4 to 6 years old, participated in eight educational activities focusing on water pollution and utilizing the programmable Blue Bot robot. Our research revealed that young students developed and acquired knowledge of programming and algorithmic thinking in a playful way through the use of the educational robot and managed to develop their cognitive and communication skills.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73411536","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 : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932973
Kyriakos Koritsoglou, Petros Laskas, V. Patras, A. Boursianis, Konstantinos Grigoriadis, I. Fudos
In Relational Database Management Systems (RDBMS) the representation and storage of graph datasets is achieved by using two data tables. One representing the nodes’ data and another for the edges’ data of the graph. Using this model every search process in a big data volume requires multiple joins of large data tables, which significantly reduces their performance. The increasing use of graph datasets in various computer science fields such as (big data, social and computer networks, networks, Semantic Web, knowledge graphs, biological networks, and road networks) creates the need to research methods that will improve the performance of RDBMS when managing this type of data. In this paper, unlike most of the solutions proposed in the literature to date, a purely relational approach is presented using only the native RDBMS query analyzer and not either aggregate functions not implemented in all RDBMSs or an additional plugin layer that analyzes and processes the graph queries in order to translate them into the corresponding SQL versions. With the proposed solution we proved that by designing a bi-directional BFS algorithm that passes through properly selected intermediate pivot points, it is possible to query graph datasets significantly larger than those a complex SQL query can handle, with no major overhead.
{"title":"A bi-directional shortest path calculation speed up technique for RDBMS","authors":"Kyriakos Koritsoglou, Petros Laskas, V. Patras, A. Boursianis, Konstantinos Grigoriadis, I. Fudos","doi":"10.1109/SEEDA-CECNSM57760.2022.9932973","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932973","url":null,"abstract":"In Relational Database Management Systems (RDBMS) the representation and storage of graph datasets is achieved by using two data tables. One representing the nodes’ data and another for the edges’ data of the graph. Using this model every search process in a big data volume requires multiple joins of large data tables, which significantly reduces their performance. The increasing use of graph datasets in various computer science fields such as (big data, social and computer networks, networks, Semantic Web, knowledge graphs, biological networks, and road networks) creates the need to research methods that will improve the performance of RDBMS when managing this type of data. In this paper, unlike most of the solutions proposed in the literature to date, a purely relational approach is presented using only the native RDBMS query analyzer and not either aggregate functions not implemented in all RDBMSs or an additional plugin layer that analyzes and processes the graph queries in order to translate them into the corresponding SQL versions. With the proposed solution we proved that by designing a bi-directional BFS algorithm that passes through properly selected intermediate pivot points, it is possible to query graph datasets significantly larger than those a complex SQL query can handle, with no major overhead.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72419402","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 : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9933000
Polychronis Pattakos, Angelos Katsoulas, S. Angelopoulos, A. Ktena, E. Hristoforou
In our days, the new specifications and standards produced by the Internet of Things makes it necessary for the ever-existing need for control over the quality of resources like metals to be reexamined. Nondestructive testing of metal components in machines, tools and construction materials is still considered the most effective method of controlling the quality of metals during production and maintenance, but a more automated and autonomous process of data collection can go a long way with the efficiency of industrial applications. In this paper, an energy harvester is used as a power supply for a steel health monitoring sensor. The paper follows the redesigning of an existing magnetic permeability sensor and the application of the energy harvester in order to achieve autonomous operation, which also includes data monitoring and transmission, thus making the system an Internet of Things compatible device.
{"title":"Magnetic harvester for autonomous steel health monitoring sensors","authors":"Polychronis Pattakos, Angelos Katsoulas, S. Angelopoulos, A. Ktena, E. Hristoforou","doi":"10.1109/SEEDA-CECNSM57760.2022.9933000","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9933000","url":null,"abstract":"In our days, the new specifications and standards produced by the Internet of Things makes it necessary for the ever-existing need for control over the quality of resources like metals to be reexamined. Nondestructive testing of metal components in machines, tools and construction materials is still considered the most effective method of controlling the quality of metals during production and maintenance, but a more automated and autonomous process of data collection can go a long way with the efficiency of industrial applications. In this paper, an energy harvester is used as a power supply for a steel health monitoring sensor. The paper follows the redesigning of an existing magnetic permeability sensor and the application of the energy harvester in order to achieve autonomous operation, which also includes data monitoring and transmission, thus making the system an Internet of Things compatible device.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79150172","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 : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932904
Ioannis Masklavanos, Christos Koutsos, G. Doumenis
Energy accumulators are useful storage components in energy scavenging IoT devices. In cases of intermittent energy scavenging, electrical energy is stored in such components for later use. Most used energy accumulators are batteries and supercapacitors. EDLC supercapacitors store less energy than lithium-based batteries, but their charge/discharge limit reaches up to half a million cycles. However, due to self-leakage currents, the usable energy stored in an EDLC is difficult to estimate and varies with time. In this paper, we provide practical observations concerning the efficiency of such devices in IoT systems with energy scavenging and provide energy capacity estimations vs baseline energy storage calculations.
{"title":"Efficiency of SuperCap storage in energy harvesting micropower supplies","authors":"Ioannis Masklavanos, Christos Koutsos, G. Doumenis","doi":"10.1109/SEEDA-CECNSM57760.2022.9932904","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932904","url":null,"abstract":"Energy accumulators are useful storage components in energy scavenging IoT devices. In cases of intermittent energy scavenging, electrical energy is stored in such components for later use. Most used energy accumulators are batteries and supercapacitors. EDLC supercapacitors store less energy than lithium-based batteries, but their charge/discharge limit reaches up to half a million cycles. However, due to self-leakage currents, the usable energy stored in an EDLC is difficult to estimate and varies with time. In this paper, we provide practical observations concerning the efficiency of such devices in IoT systems with energy scavenging and provide energy capacity estimations vs baseline energy storage calculations.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85870930","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 : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932956
Nikolaos Barmparitsas, Alice Baronchelli, S. Karellas, P. Pallis, S. Thanopoulos
Retradeables is intended to be the first European marketplace for used F-gases to support the circular economy of refrigerants extracted from HVAC-R equipment. In line with all relevant EU policies such as the F-gas Regulation, the Green Deal and the Waste Framework, Retradeables promotes the maximization of the quantities of recovered F-gases that are reused in the market by identifying the most suitable treatment method to be applied (recycling, reclamation or appropriate destruction) depending on their original quality grade (A/B/C). Currently, the Retradeables marketplace has been rolled-out in 3 EU countries: Slovakia (SK), Hungary (HU) and Czech Republic (CZ) with a view to scaling up across Europe in the next few years. Therefore, the aim of this paper is to present the key functionalities of the marketplace platform, including the user registration process under internal and Know-Your-Customer (KYC) verification schemes, the individual trading activities of sellers (supply side) & buyers (demand side) within the platform, the use of wallets and the available payment service based on the Single Euro Payments Area (SEPA) network. At the same time, the full transparency about acting parties, refrigerant volumes & types and running prices as well as full traceability of all refrigerants on sale are both highlighted as the two key design parameters on which Retradeables is structured. Finally, it should be noted that Retradeables is now considered as a beta platform since continuous upgrades are made according to the various requirements and customizations indicated by local users.
{"title":"Retradeables: the first online marketplace for used F-gases in Europe","authors":"Nikolaos Barmparitsas, Alice Baronchelli, S. Karellas, P. Pallis, S. Thanopoulos","doi":"10.1109/SEEDA-CECNSM57760.2022.9932956","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932956","url":null,"abstract":"Retradeables is intended to be the first European marketplace for used F-gases to support the circular economy of refrigerants extracted from HVAC-R equipment. In line with all relevant EU policies such as the F-gas Regulation, the Green Deal and the Waste Framework, Retradeables promotes the maximization of the quantities of recovered F-gases that are reused in the market by identifying the most suitable treatment method to be applied (recycling, reclamation or appropriate destruction) depending on their original quality grade (A/B/C). Currently, the Retradeables marketplace has been rolled-out in 3 EU countries: Slovakia (SK), Hungary (HU) and Czech Republic (CZ) with a view to scaling up across Europe in the next few years. Therefore, the aim of this paper is to present the key functionalities of the marketplace platform, including the user registration process under internal and Know-Your-Customer (KYC) verification schemes, the individual trading activities of sellers (supply side) & buyers (demand side) within the platform, the use of wallets and the available payment service based on the Single Euro Payments Area (SEPA) network. At the same time, the full transparency about acting parties, refrigerant volumes & types and running prices as well as full traceability of all refrigerants on sale are both highlighted as the two key design parameters on which Retradeables is structured. Finally, it should be noted that Retradeables is now considered as a beta platform since continuous upgrades are made according to the various requirements and customizations indicated by local users.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82032167","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 : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932920
Aris Magklaras, Christos G Gogos, Panagiotis Alefragis, Christos Valouxis, A. Birbas
Photolithography process is one of the most critical in the semiconductor industry since it drives the Moore’s law and the advances in microelectronics in general. Hard constraints on precision, throughput and image quality require software control algorithms and high precision measurements. In such strict environment and requirements, where quality and performance goals need to be met, the optimal design of the measurements is more than necessary. In this paper we propose an Optimal Design of Experiments Algorithm that will enable the process to be able to obtain G-optimal result in a highly competitive time fraction that will ensure at the same time the throughput optimality of the photolithography machines.
{"title":"Sampling Points Selection Algorithm For Advanced Photolithography Process","authors":"Aris Magklaras, Christos G Gogos, Panagiotis Alefragis, Christos Valouxis, A. Birbas","doi":"10.1109/SEEDA-CECNSM57760.2022.9932920","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932920","url":null,"abstract":"Photolithography process is one of the most critical in the semiconductor industry since it drives the Moore’s law and the advances in microelectronics in general. Hard constraints on precision, throughput and image quality require software control algorithms and high precision measurements. In such strict environment and requirements, where quality and performance goals need to be met, the optimal design of the measurements is more than necessary. In this paper we propose an Optimal Design of Experiments Algorithm that will enable the process to be able to obtain G-optimal result in a highly competitive time fraction that will ensure at the same time the throughput optimality of the photolithography machines.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80370791","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 : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9933012
Christos N. Karras, Aristeidis Karras, I. Giannoukou, K. Giotopoulos, D. Tsolis, S. Sioutas
In this paper, the concepts and techniques for global graph clustering are examined, or the process of locating related clusters of vertices within a graph. We introduce the construction of a graph clustering technique based on an eigenvector embedding and a local graph clustering method based on stochastic exploration of the graph. Then, the developed implementations of both methods are presented and assessed in terms of performance. In addition, the difficulties associated with assessing clusterings and benchmarking cluster algorithms are explored where PageRank and EigEmbed algorithms are utilized. The experiments show that the EigEmbed outperformed PageRank across all experiments as it detected more communities with the same number of clusters. Ultimately, we apply both algorithms to a real-world graph representing Twitter network and the followers and tweets therein.
{"title":"Global Graph Clustering and Local Graph Exploration for Community Detection in Twitter","authors":"Christos N. Karras, Aristeidis Karras, I. Giannoukou, K. Giotopoulos, D. Tsolis, S. Sioutas","doi":"10.1109/SEEDA-CECNSM57760.2022.9933012","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9933012","url":null,"abstract":"In this paper, the concepts and techniques for global graph clustering are examined, or the process of locating related clusters of vertices within a graph. We introduce the construction of a graph clustering technique based on an eigenvector embedding and a local graph clustering method based on stochastic exploration of the graph. Then, the developed implementations of both methods are presented and assessed in terms of performance. In addition, the difficulties associated with assessing clusterings and benchmarking cluster algorithms are explored where PageRank and EigEmbed algorithms are utilized. The experiments show that the EigEmbed outperformed PageRank across all experiments as it detected more communities with the same number of clusters. Ultimately, we apply both algorithms to a real-world graph representing Twitter network and the followers and tweets therein.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82909143","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 : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9933009
Alexandra Tzanidou, Vasilis Vlachokyriakos
The last few years there has been a proliferation of location-based systems beyond the commonplace use of digital maps for navigation. Such uses range from Geographic Information Systems (GIS) for neighbourhood planning, to mapping selforganised civic initiatives and location-based Facebook events. Responding to such developments, the HCI community and research has been active in exploring the potential of such systems for a more meaningful participation of citizens in place-making. Building on such research, this paper explores the design of GIS to support location-based civic participation through undertaking expert interviews, local community workshops and deploying a bespoke GIS system in the context of Athens, Greece. In our findings, we highlight the diversity of opinions and needs of different stakeholders in such technology-enabled and location-based projects.
{"title":"Participatory, location-based systems in community place-making.","authors":"Alexandra Tzanidou, Vasilis Vlachokyriakos","doi":"10.1109/SEEDA-CECNSM57760.2022.9933009","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9933009","url":null,"abstract":"The last few years there has been a proliferation of location-based systems beyond the commonplace use of digital maps for navigation. Such uses range from Geographic Information Systems (GIS) for neighbourhood planning, to mapping selforganised civic initiatives and location-based Facebook events. Responding to such developments, the HCI community and research has been active in exploring the potential of such systems for a more meaningful participation of citizens in place-making. Building on such research, this paper explores the design of GIS to support location-based civic participation through undertaking expert interviews, local community workshops and deploying a bespoke GIS system in the context of Athens, Greece. In our findings, we highlight the diversity of opinions and needs of different stakeholders in such technology-enabled and location-based projects.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83770752","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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