[ { "item": { "title": "PREDICTING EMOTIONS FROM SENSORS FOR ASSISTED Pedelec", "project": "iCity", "authors": [ { "firstName": "S.", "lastName": "Schneider" }, { "firstName": "H.", "lastName": "Dastageeri" }, { "firstName": "P.", "lastName": "Rodriguez" }, { "firstName": "V.", "lastName": "Coors" } ], "imageLink": "./img/schneider2020_1.jpg", "keywords": [ "machine learning", " experience sampling", " mobile sensors", " urban emotions" ], "journal": { "volume": "VI-4/W2-20", "year": "2020", "pages": "149-156" }, "DOI": "10.5194/isprs-annals-VI-4-W2-2020-149-2020" }, "links": { "pdf": "https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/VI-4-W2-2020/149/2020/", "url": "https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/VI-4-W2-2020/149/2020/", "demo": "https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/VI-4-W2-2020/149/2020/" } }, { "item": { "title": "A METHOD FOR ASSESSING REGIONAL BIOENERGY POTENTIALS BASED ON GIS DATA AND A DYNAMIC YIELD SIMULATION MODEL", "project": "EnSys-LE", "authors": [ { "firstName": "K.", "lastName": "Bao" }, { "firstName": "R.", "lastName": "Padsala" }, { "firstName": "V.", "lastName": "Coors" }, { "firstName": "D.", "lastName": "Thrän" }, { "firstName": "B", "lastName": "Schröter" } ], "imageLink": "./img/BAO 2020_07.jpg", "keywords": [ "potential analysis", " geographical information system (GIS)", " bioenergy", " AquaCrop" ], "journal": { "name": "Energies", "volume": "13", "year": "2020", "pages": "64-88" }, "DOI": "10.3390/en13246488" }, "links": { "pdf": " https://doi.org/10.3390/en13246488", "url": " https://doi.org/10.3390/en13246488", "demo": " https://doi.org/10.3390/en13246488" } }, { "item": { "title": "A CONCEPT OF QUALITY MANAGEMENT OF 3D CITY MODELS SUPPORTING APPLICATION-SPECIFIC REQUIREMENTS", "project": "SimStadt, CityDoctor", "authors": [ { "firstName": "V.", "lastName": "Coors" }, { "firstName": "M.", "lastName": "Betz" }, { "firstName": "E.", "lastName": "Duminil" } ], "imageLink": "./img/Coors 2020_02.jpg", "keywords": [ "3D City Model", " CityGML", " Quality Management", " Heating demand simulation" ], "journal": { "name": "PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science", "volume": "88", "year": "2020", "pages": "3 - 14" }, "DOI": "10.1007/s41064-020-00094-0" }, "links": { "pdf": "https://doi.org/10.1007/s41064-020-00094-0", "url": "https://doi.org/10.1007/s41064-020-00094-0", "demo": "https://doi.org/10.1007/s41064-020-00094-0" } }, { "item": { "title": "A CONTINUOUS, SEMI-AUTOMATED WORKFLOW: FROM 3D CITY MODELS WITH GEOMETRIC OPTIMIZATION AND CFD SIMULATIONS TO VISUALIZATION OF WIND IN AN URBAN ENVIRONMENT", "project": "iCity", "authors": [ { "firstName": "M.E.", "lastName": "Deininger" }, { "firstName": "M.v.d.", "lastName": "Grün" }, { "firstName": "R.", "lastName": "Piepereit" }, { "firstName": "S.", "lastName": "Schneider" }, { "firstName": "T.", "lastName": "Santhanavanich" }, { "firstName": "V.", "lastName": "Coors" }, { "firstName": "U.", "lastName": "Voß" } ], "imageLink": "./img/Deininger 2020_10.jpg", "keywords": [ "smart city", " urban environment", " computational fluid dynamics", " computational wind engineering", " open geospatial consortium", " environmental simulation", " 3D visualization", " web services", " automated workflow", " CityGML" ], "journal": { "name": "ISPRS International Journal of Geo-Information", "volume": "9", "year": "2020", "pages": "657-680" }, "DOI": "10.3390/ijgi9110657" }, "links": { "pdf": "https://doi.org/10.3390/ijgi9110657", "url": "https://doi.org/10.3390/ijgi9110657", "demo": "https://doi.org/10.3390/ijgi9110657" } }, { "item": { "title": "SEASONALITY DEDUCTION PLATFORM: FOR PM10, PM2.5, NO, NO2 AND O3 IN RELATIONSHIP WITH WIND SPEED AND HUMIDITY", "authors": [ { "firstName": "S.", "lastName": "Harbola" }, { "firstName": "V.", "lastName": "Coors" } ], "imageLink": "./img/Harbola 2020_09.jpg", "keywords": [ "interactive platform", " agglomerative clustering", " cities planning", " seasonality", " unsupervised classification", " dendrogram", " pollution parameters", " visual analytic", " meteorological data", " Spearman rank" ], "journal": { "name": "ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences", "volume": "VI-4-W2-2020", "year": "2020", "pages": "71-78" }, "DOI": "10.5194/isprs-annals-VI-4-W2-2020-71-2020" }, "links": { "pdf": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-71-2020", "url": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-71-2020", "demo": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-71-2020" } }, { "item": { "title": "INTEGRATION OF HETEROGENEOUS CORONAVIRUS DISEASE COVID-19 DATA SOURCES USING OGC SENSORTHINGS API", "project": "iCity", "authors": [ { "firstName": "T.", "lastName": "Santhanavanich" }, { "firstName": "C.", "lastName": "Kim" }, { "firstName": "V.", "lastName": "Coors" } ], "imageLink": "./img/Santhanavanich 2020_09.jpg", "keywords": [ "SensorThings", " COVID-19", " Smart Cities", " Urban data", " Open Geospatial Consortium" ], "journal": { "name": "ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences", "volume": "VI-4-W2-2020", "year": "2020", "pages": "135-141" }, "DOI": "10.5194/isprs-annals-VI-4-W2-2020-135-2020" }, "links": { "pdf": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-135-2020", "url": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-135-2020", "demo": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-135-2020" } }, { "item": { "title": "3D SAFE ROUTING NAVIGATION APPLICATION FOR PEDESTRIANS AND CYCLISTS BASED ON OPEN SOURCE TOOLS", "project": "iCity", "authors": [ { "firstName": "T.", "lastName": "Santhanavanich" }, { "firstName": "P.", "lastName": "Wuerstle" }, { "firstName": "J.", "lastName": "Silberer" }, { "firstName": "V.", "lastName": "Loidl" }, { "firstName": "P.", "lastName": "Rodrigues" }, { "firstName": "V.", "lastName": "Coors" } ], "imageLink": "./img/Wuerstle 2020_09.jpg", "keywords": [ "Safe routing", " pgRouting", " CityGML", " SensorThings API", " OpenStreetMap", " Open Geospatial Consortium" ], "journal": { "name": "ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences", "volume": "VI-4-W2-2020", "year": "2020", "pages": "143-147" }, "DOI": "10.5194/isprs-annals-VI-4-W2-2020-143-2020" }, "links": { "pdf": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-143-2020", "url": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-143-2020", "demo": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-143-2020" } }, { "item": { "title": "EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDS", "project": "iCity", "authors": [ { "firstName": "S.", "lastName": "Schneider" }, { "firstName": "T.", "lastName": "Santhanavanich" }, { "firstName": "A.", "lastName": "Koukofikis" }, { "firstName": "V.", "lastName": "Coors" } ], "imageLink": "./img/Schneider 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"lastName": "Coors" } ], "imageLink": "./img/Dastageeri 2020_09.jpg", "keywords": [ "experience sampling", " mobile sensors", " urban emotions", " machine learning" ], "journal": { "name": "ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences", "volume": "VI-4-W2-2020", "year": "2020", "pages": "149-156" }, "DOI": "10.5194/isprs-annals-VI-4-W2-2020-149-2020" }, "links": { "pdf": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-149-2020", "url": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-149-2020", "demo": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-149-2020" } }, { "item": { "title": "THE USE OF 3D GEOVISUALIZATION AND CROWDSOURCING FOR OPTIMIZING ENERGY SIMULATION", "project": "3ProzentPlus", "authors": [ { "firstName": "S.", "lastName": "Sini" }, { "firstName": "R.", "lastName": "Sihombing" }, { "firstName": "P.", "lastName": "Kabiro" }, { "firstName": "T.", "lastName": "Santhanavanich" }, { "firstName": "V.", "lastName": "Coors" } ], 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"./img/Vögele 2020.jpg", "keywords": [ "Smart Cities", " 3D-Webvisualisierung", " Geoinformation", " Sensordatenvernetzung", " CityGML", " SensorThings-API" ], "journal": { "name": "Gis Science", "volume": "33", "year": "2020", "pages": "47-58" } }, "links": {} }, { "item": { "title": "FRAMEWORK FOR EMULATION AND UNCERTAINTY QUANTIFICATION OF A STOCHASTIC BUILDING PERFORMANCE SIMULATOR", "authors": [ { "firstName": "P", "lastName": "Wate" }, { "firstName": "M", "lastName": "Iglesias" }, { "firstName": "V", "lastName": "Coors" }, { "firstName": "D", "lastName": "Robinson" } ], "imageLink": "./img/Wate_2020.jpg", "keywords": [ "Gaussian process emulator", " Building performance", " Stochasticity", " Uncertainty quantification and decomposition" ], "journal": { "name": "Applied Energy", "volume": "258", "year": "2020", "pages": "113-759" }, "DOI": " 10.1016/j.apenergy.2019.113759" }, "links": { "pdf": "https://doi.org/10.1016/j.apenergy.2019.113759", "url": "https://doi.org/10.1016/j.apenergy.2019.113759", "demo": "https://doi.org/10.1016/j.apenergy.2019.113759" } }, { "item": { "title": "VISUAL ANALYTICS WEB PLATFORM FOR DETECTING HIGH WIND ENERGY POTENTIAL IN URBAN ENVIRONMENTS BY EMPLOYING OGC STANDARDS", "project": "Ordnance Survey GB, 1Spatial", "authors": [ { "firstName": "A.", "lastName": "Koukofikis" }, { "firstName": "V.", "lastName": "Coors" } ], "imageLink": "./img/Koukofikis 2020_09.jpg", "keywords": [ "Visual analytics", " CFD", " Wind energy", " OGC", " 3DPS", " Web Visualization", " WebGL" ], "journal": { "name": "The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences", "volume": "XLIV-4-W1-2020", "year": "2020", "pages": "71-74" }, "DOI": "10.5194/isprs-archives-XLIV-4-W1-2020-71-2020" }, "links": { "pdf": "https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-71-2020", "url": "https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-71-2020", "demo": "https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-71-2020" } }, { "item": { "title": "GIS-BASED ASSESSMENT OF REGIONAL BIOMASS POTENTIALS AT THE EXAMPLE OF TWO COUNTIES IN GERMANY", "authors": [ { "firstName": "K.", "lastName": "Bao" }, { "firstName": "R.", "lastName": "Padsala" }, { "firstName": "V.", "lastName": "Coors" }, { "firstName": "D.", "lastName": "Thrän" }, { "firstName": "B.", "lastName": "Schröter" } ], "imageLink": "./img/Padsala 2020_07.jpg", "keywords": [ "biofuel", " geographical information system (GIS)", " potential" ], "journal": { "name": "Sustainable Resources for Decarbonising the Economy", "year": "2020", "pages": "77-85" }, "DOI": "10.5071/28thEUBCE2020-1CV.4.15" }, "links": { "pdf": "https://doi.org/10.5071/28thEUBCE2020-1CV.4.15", "url": "https://doi.org/10.5071/28thEUBCE2020-1CV.4.15", "demo": "https://doi.org/10.5071/28thEUBCE2020-1CV.4.15" } }, { "item": { "title": "THE CONCEPTION OF AN URBAN ENERGY DASHBOARD USING 3D CITY MODELS", "project": 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}, { "firstName": "V.", "lastName": "Coors" } ], "imageLink": "./img/Padsala 2020_09.jpg", "keywords": [ "Data Interoperability", " Geometric Modelling", " Urban Design", " Energy Simulation", " CityGML" ], "journal": { "year": "2020", "pages": "365-375" } }, "links": { "pdf": "https://archive.corp.at/cdrom2020/papers2020/CORP2020_54.pdf", "url": "https://archive.corp.at/cdrom2020/papers2020/CORP2020_54.pdf", "demo": "https://archive.corp.at/cdrom2020/papers2020/CORP2020_54.pdf" } }, { "item": { "title": "DIGITIZATION OF VIRTUAL CITY MODELS: CITYGML AND ENERGY ADE", "project": "DIM4Energy", "authors": [ { "firstName": "V.", "lastName": "Coors" } ], "imageLink": "./img/V. Coors 2020_02.jpg", "journal": { "name": "Digital energy planning & optimization of Urban Regions", "year": "2020", "pages": "32-33" }, "keywords": [ "..." ] }, "links": { "pdf": "https://www.ait.ac.at/fileadmin//mc/energy/Business_Cases/7_Smart_Resilient_Cities/DIM4Energy_Leitfaden_Web.pdf", "url": "https://www.ait.ac.at/fileadmin//mc/energy/Business_Cases/7_Smart_Resilient_Cities/DIM4Energy_Leitfaden_Web.pdf", "demo": "https://www.ait.ac.at/fileadmin//mc/energy/Business_Cases/7_Smart_Resilient_Cities/DIM4Energy_Leitfaden_Web.pdf" } } ]