Pub Date : 2015-04-28DOI: 10.5220/0005379002130220
A. Lingua, F. Noardo
The great potential of GIS to manage and analyse georeferenced information is well-known. The last several years of development of ICT (Information and Communication Technologies) saw a necessity of interoperability arise, from which the Semantic web standards and domain ontologies are derived. Specific application field ontologies are often insufficient for representing the information of multidisciplinary projects. Moreover, they are often aimed at the representation of homogeneous data formats (alphanumeric data, vector spatial data, raster spatial data, etc.). In this scenario, traditional GIS often have a limit: they implement personal data models, which are very difficult to exchange through different systems. In this study we structured a GIS for the monitoring project ALCOTRA ALIRHYS according to parts of two different self-integrated ontologies, from the perspective of the major interoperability of the system and the sharing of data through a web-GIS platform. The two standard models chosen (SWEET ontology and INSPIRE UML model) have been integrated in a unique conceptual model useful both for geometric and cartographic data, and for thematic information. In this case, the implemented schemas are published on the project website, and are available for other users who want to produce similar studies. Since user-friendly results were desirable, some integrated commercial widespread software programs have been used even if their abilities to manage such a GIS are suboptimal.
{"title":"A semantic geodatabase for environment analysis: Extraction, management and sharing of earth and water information in GIS","authors":"A. Lingua, F. Noardo","doi":"10.5220/0005379002130220","DOIUrl":"https://doi.org/10.5220/0005379002130220","url":null,"abstract":"The great potential of GIS to manage and analyse georeferenced information is well-known. The last several years of development of ICT (Information and Communication Technologies) saw a necessity of interoperability arise, from which the Semantic web standards and domain ontologies are derived. Specific application field ontologies are often insufficient for representing the information of multidisciplinary projects. Moreover, they are often aimed at the representation of homogeneous data formats (alphanumeric data, vector spatial data, raster spatial data, etc.). In this scenario, traditional GIS often have a limit: they implement personal data models, which are very difficult to exchange through different systems. In this study we structured a GIS for the monitoring project ALCOTRA ALIRHYS according to parts of two different self-integrated ontologies, from the perspective of the major interoperability of the system and the sharing of data through a web-GIS platform. The two standard models chosen (SWEET ontology and INSPIRE UML model) have been integrated in a unique conceptual model useful both for geometric and cartographic data, and for thematic information. In this case, the implemented schemas are published on the project website, and are available for other users who want to produce similar studies. Since user-friendly results were desirable, some integrated commercial widespread software programs have been used even if their abilities to manage such a GIS are suboptimal.","PeriodicalId":404783,"journal":{"name":"2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115637829","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 : 2015-04-28DOI: 10.5220/0005348200450053
A. Vorobev, G. R. Shakirova
In the modern World, specialists in biology, medicine, geophysics, geology, technics and many other sciences pay great attention to correlation between external geomagnetic variations (GVM) with possibilities of objects and systems existence and evolution. Well-known scientific publications give a quite wide review of approaches to estimation of weak magnetic fields parameters, creation of magnetometric information measurement systems on their base and definition of their metrological characteristics. But today due to the recently formulated relevance of geomagnetic field (GMF) and its variations parameters monitoring there is no unified and effective approach to development of geoinformation magnetometric systems. In spite of the wide variety of specialized geoinformation systems (GIS) there are no advanced hard- and software, which provide a calculation, geospatial connection, visualization and analysis of GMF and its variations parameters calculation results. It is important to mention, that due to low-efficiency, limited functionality and incorrect work of the known solutions the topicality, scientific and applied interest to such a solution development continuously increases.
{"title":"Modeling and 2D/3D-visualization of geomagnetic field and its variations parameters","authors":"A. Vorobev, G. R. Shakirova","doi":"10.5220/0005348200450053","DOIUrl":"https://doi.org/10.5220/0005348200450053","url":null,"abstract":"In the modern World, specialists in biology, medicine, geophysics, geology, technics and many other sciences pay great attention to correlation between external geomagnetic variations (GVM) with possibilities of objects and systems existence and evolution. Well-known scientific publications give a quite wide review of approaches to estimation of weak magnetic fields parameters, creation of magnetometric information measurement systems on their base and definition of their metrological characteristics. But today due to the recently formulated relevance of geomagnetic field (GMF) and its variations parameters monitoring there is no unified and effective approach to development of geoinformation magnetometric systems. In spite of the wide variety of specialized geoinformation systems (GIS) there are no advanced hard- and software, which provide a calculation, geospatial connection, visualization and analysis of GMF and its variations parameters calculation results. It is important to mention, that due to low-efficiency, limited functionality and incorrect work of the known solutions the topicality, scientific and applied interest to such a solution development continuously increases.","PeriodicalId":404783,"journal":{"name":"2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116814988","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 : 2015-04-28DOI: 10.5220/0005458602210226
B. Zaragozí, P. Giménez-Font, J. T. Navarro-Carrión, Antonio M. Rico-Amorós, Alfredo Ramón-Morte, Antonio Belda-Antolí
Indoor positioning and navigation systems have attributes which make their use inadvisable in certain applications. Our main purpose is to investigate these issues in order to improve accessibility in Smart Cities. In the last decade, there are increasing efforts to develop a sustainable and precise indoor navigation system to be used in any situation. There are interesting proposals but they suffer from various constraints (accuracy, cost, complexity, etc), so the use of hybrid and targeted solutions is mandatory. In an effort to address these problems, in this study we will develop an affordable and accurate indoor location system. Firstly, we will use geodata from the the Open Data initiative of the Spanish Conference of University Rectors. After studying its data model, we will create new methods to automatically derive new geometric layers, useful for accessibility studies. Then, all relevant information will be published via standard protocols and web services. In the second phase of this project, we will design an indoor positioning network (Bluetooth, WiFi, etc) based on indoor mapping. Finally, this positioning and navigation system will be used for performing different mobility experiments from the Smart Cities perspective.
{"title":"A proposal for design and implementation of an hybrid navigation system based on open data, augmented reality and big data: Applications for the smart cities","authors":"B. Zaragozí, P. Giménez-Font, J. T. Navarro-Carrión, Antonio M. Rico-Amorós, Alfredo Ramón-Morte, Antonio Belda-Antolí","doi":"10.5220/0005458602210226","DOIUrl":"https://doi.org/10.5220/0005458602210226","url":null,"abstract":"Indoor positioning and navigation systems have attributes which make their use inadvisable in certain applications. Our main purpose is to investigate these issues in order to improve accessibility in Smart Cities. In the last decade, there are increasing efforts to develop a sustainable and precise indoor navigation system to be used in any situation. There are interesting proposals but they suffer from various constraints (accuracy, cost, complexity, etc), so the use of hybrid and targeted solutions is mandatory. In an effort to address these problems, in this study we will develop an affordable and accurate indoor location system. Firstly, we will use geodata from the the Open Data initiative of the Spanish Conference of University Rectors. After studying its data model, we will create new methods to automatically derive new geometric layers, useful for accessibility studies. Then, all relevant information will be published via standard protocols and web services. In the second phase of this project, we will design an indoor positioning network (Bluetooth, WiFi, etc) based on indoor mapping. Finally, this positioning and navigation system will be used for performing different mobility experiments from the Smart Cities perspective.","PeriodicalId":404783,"journal":{"name":"2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128199352","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 : 2015-04-28DOI: 10.5220/0005402600290033
Xiaohan Du, Feng Qian, Xiangqin Ou
With the improvement of Natural energy exploration technologies, the Seismic interpretation member need to deal with more and more information and parameters. How to better use seismic characteristic parameter to detect hydrocarbon becomes increasingly complex. In this article, we deeply studied the seismic waveform classification, and propose a seismic waveform classification method based combine various characters. After reducing the dimensions of seismic wave, we classify it using the high-level semantic feature extraction technique in pattern recognition. Experiments proved that, the classification result improved in continuity and details, and reduced the redundancy of seismic signal, increased performance of classification.
{"title":"3D seismic waveform classification study based on high-level semantic feature","authors":"Xiaohan Du, Feng Qian, Xiangqin Ou","doi":"10.5220/0005402600290033","DOIUrl":"https://doi.org/10.5220/0005402600290033","url":null,"abstract":"With the improvement of Natural energy exploration technologies, the Seismic interpretation member need to deal with more and more information and parameters. How to better use seismic characteristic parameter to detect hydrocarbon becomes increasingly complex. In this article, we deeply studied the seismic waveform classification, and propose a seismic waveform classification method based combine various characters. After reducing the dimensions of seismic wave, we classify it using the high-level semantic feature extraction technique in pattern recognition. Experiments proved that, the classification result improved in continuity and details, and reduced the redundancy of seismic signal, increased performance of classification.","PeriodicalId":404783,"journal":{"name":"2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133526397","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 : 2015-04-28DOI: 10.5220/0005385901530161
P. Cardoso, G. Schütz, J. Semião, J. Monteiro, J. Rodrigues, A. Mazayev, Emanuel Ey, M. Viegas, Carlos Neves, Sérgio Anastácio
i3FR is a system for optimizing the distribution of fresh goods, using a fleet of vehicles, which must be integrated with an existing Enterprise Resource Planning (ERP) software, while avoiding disruption of established schedules and procedures. In terms of delivery optimization, the most similar problem in literature is the well-established and experimented Vehicle Routing Problem with Time Windows (VRPTW), which is, by nature, a multiple objective problem where the number of vehicles and the total traveled distance must be minimized. In this paper, the overall architecture of the i3FR system is presented, which includes several modules and services (such as ERP, routing optimization and data acquisition modules), and the communication between them. The novelty in the proposed architecture comprises: (i) the application to a fresh goods distribution network, with multiple restrictions on goods' acclimatization; (ii) a data acquisition system which includes vehicle data and environmental data from the vehicles' refrigerated volumes, such as temperature; and (iii) the integration of the VRPTW optimization system with an existing ERP. A case-study is described and validates the overall implementation. The main contribution of paper is the proposal of a multi-layered architecture to integrate existing ERP software with a route optimization and a temperature data acquisition module.
{"title":"Integration of a food distribution routing optimization software with an enterprise resource planner","authors":"P. Cardoso, G. Schütz, J. Semião, J. Monteiro, J. Rodrigues, A. Mazayev, Emanuel Ey, M. Viegas, Carlos Neves, Sérgio Anastácio","doi":"10.5220/0005385901530161","DOIUrl":"https://doi.org/10.5220/0005385901530161","url":null,"abstract":"i3FR is a system for optimizing the distribution of fresh goods, using a fleet of vehicles, which must be integrated with an existing Enterprise Resource Planning (ERP) software, while avoiding disruption of established schedules and procedures. In terms of delivery optimization, the most similar problem in literature is the well-established and experimented Vehicle Routing Problem with Time Windows (VRPTW), which is, by nature, a multiple objective problem where the number of vehicles and the total traveled distance must be minimized. In this paper, the overall architecture of the i3FR system is presented, which includes several modules and services (such as ERP, routing optimization and data acquisition modules), and the communication between them. The novelty in the proposed architecture comprises: (i) the application to a fresh goods distribution network, with multiple restrictions on goods' acclimatization; (ii) a data acquisition system which includes vehicle data and environmental data from the vehicles' refrigerated volumes, such as temperature; and (iii) the integration of the VRPTW optimization system with an existing ERP. A case-study is described and validates the overall implementation. The main contribution of paper is the proposal of a multi-layered architecture to integrate existing ERP software with a route optimization and a temperature data acquisition module.","PeriodicalId":404783,"journal":{"name":"2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127789166","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 : 2015-04-28DOI: 10.5220/0005350701050112
Lin Qi, Markus Schneider
The shortest path computation between two given locations in a road network is an important problem that finds applications in a wide range of fields. There has been a lot of research efforts targeting at the preciseness and performance of finding shortest paths in road networks. However, rarely of them have really taken into account the influence of traffic factors such as traffic lights, road conditions, traffic jams and turning cost. In other words, existing approaches are rather purely based on the topology of the network, but forgot that there are multiple factors in a real road network that impact the accuracy of the algorithm. The contribution of our paper is twofold. First, we present a generic two-layered framework for moving objects in road networks environment and demonstrate the important role of traffic factors on path finding and route planning. Second, we develop an efficient parallel shortest path algorithm in road networks with the consideration of traffic influence factors. Detailed analysis presented shows that our parallel TRAFFic-aware shortest path algORITHM (Trafforithm), is accurate and practical.
{"title":"Trafforithm: A traffic-aware shortest path algorithm in real road networks with traffic influence factors","authors":"Lin Qi, Markus Schneider","doi":"10.5220/0005350701050112","DOIUrl":"https://doi.org/10.5220/0005350701050112","url":null,"abstract":"The shortest path computation between two given locations in a road network is an important problem that finds applications in a wide range of fields. There has been a lot of research efforts targeting at the preciseness and performance of finding shortest paths in road networks. However, rarely of them have really taken into account the influence of traffic factors such as traffic lights, road conditions, traffic jams and turning cost. In other words, existing approaches are rather purely based on the topology of the network, but forgot that there are multiple factors in a real road network that impact the accuracy of the algorithm. The contribution of our paper is twofold. First, we present a generic two-layered framework for moving objects in road networks environment and demonstrate the important role of traffic factors on path finding and route planning. Second, we develop an efficient parallel shortest path algorithm in road networks with the consideration of traffic influence factors. Detailed analysis presented shows that our parallel TRAFFic-aware shortest path algORITHM (Trafforithm), is accurate and practical.","PeriodicalId":404783,"journal":{"name":"2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116919162","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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