Q3143103 (Q3143103): Difference between revisions
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(Changed an Item: Edited by the materialized bot - inferring region from the coordinates) |
(Created claim: summary (P836): PREVENTION AND RESPONSE ARE KEY TO ANY CITY FACING ANY EMERGENCY (ACCIDENTS, NATURAL DISASTERS, TERRORIST ATTACKS). THIS USUALLY INVOLVES MANAGING 4 PHASES: MITIGATION, PREVENTING THREATS FROM TURNING INTO DISASTERS; (II) PLANNING, COPING WITH THE DISASTER WHEN IT OCCURS; (III) RESPONSE, COORDINATING EFFORTS FOR CRISIS SITUATIONS; And (IV) RECOVERATION, VOLVE THE NORMAL STATE AS PRONTO AS POSIBLE._x000D_ _x000D_ The ubiquity of sensors, internet...) |
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PREVENTION AND RESPONSE ARE KEY TO ANY CITY FACING ANY EMERGENCY (ACCIDENTS, NATURAL DISASTERS, TERRORIST ATTACKS). THIS USUALLY INVOLVES MANAGING 4 PHASES: MITIGATION, PREVENTING THREATS FROM TURNING INTO DISASTERS; (II) PLANNING, COPING WITH THE DISASTER WHEN IT OCCURS; (III) RESPONSE, COORDINATING EFFORTS FOR CRISIS SITUATIONS; And (IV) RECOVERATION, VOLVE THE NORMAL STATE AS PRONTO AS POSIBLE._x000D_ _x000D_ The ubiquity of sensors, internets and MOVILE DISPOSITIVES in network allow a new paradigm in which the CIUDADANS monitor the environment through their MOVILE DISPOSITIVES by collecting DATA (AUDIO, VIDEO, UBICATION) OF CONSCIENT AND/OR INCONSCIENT FORM. IN THIS CONTEXT, LOCALISATION SERVICES LINKED TO SOCIAL NETWORKS (LBSN) ARISE SO THAT USERS CAN SUBSCRIBE THEIR POSITION TO PHYSICAL LOCATIONS (CHEK-IN) AND SHARE THEM WITH THEIR CONTACTS. The MASIVE ADOPTION OF THIS IMPLICAL SERVICES TYPE OF A GREAT QUANTITY OF SOCIAL AND Geographic DATA VINCULED, WHY ANALISIS ESPACIAL, TEMPORAL will allow the Inference OF PATRONS OF USERs’ COMMUNITIES, TRAFFIC FLUJES, EMOTIONS VINCULED TO COLLECTIVES AND, AS NO, RECOGNISING EVIDENCES OF POTENTENT PELIGROUS SITUATIONS Which Permit A TEMPREAN DETECTION AND ADELITED AND EFFECTIVE MANAGEMENT OF THE MISMAS._x000D_ _x000D_ The VIGO UNIVERSITY sub-project is CENTRATED IN THE ATTENUATION PASE, applying technical data to the information gathered through the social networks to provide the basis for the temporary declaration and its reply to an emergency situation. THE INFORMATION WILL COME FROM: (I) THE ACTIVE SHARING OF CITIZENs’ EXPERIENCES AND (II) THE DATA OBTAINED FROM THEIR MOBILE DEVICES (GPS, TEMPERATURE SENSOR, ETC.), WHICH ALLOW TO CONTEXTUALISE THE PRIOR INFORMATION. THUS, OUR CITIZEN BECOMES A SENSOR THAT PROVIDES GEOLOCATED INFORMATION IN REAL TIME. THESE DATA ARE NORMALLY NOISY (UNSTRUCTURED, FROM DIFFERENT SOURCES, ETC.), SO IT IS NECESSARY TO APPLY FUSION TECHNIQUES AND CLEAN UP INFORMATION SOURCES TO MAKE THEM ACCESSIBLE TO THE TIME-SPACE ANALYSIS. THIS ANALYSIS WILL MAKE IT POSSIBLE TO INFER THE BEHAVIOR OF THE COLLECTIVES THROUGH THE ESTABLISHMENT OF BEHAVIORAL PATTERNS AND THE SUBSEQUENT DETECTION OF SUCH ANOMALIES. Obviously, ASPECTS AS THE REPUTATION AND FIABILITY OF SOURCES COUNCIL IN THIS CASE A SPECIAL PROTAGONISM FOR EVALUATION OF THE CREDIBILITY OF INFORMATION_x000D_ _x000D_ In summary, the SPECIFIC OBJECTIVES OF this subproject are CENTREED IN: (I) CONSIDER THE CITIZEN AS ONE MORE SENSOR WHOSE DATA CAN BE ANALYSED USING MINING TECHNIQUES, ESPECIALLY IF THEY COME FROM LBNS; (II) USE DATA FUSION TECHNIQUES TO MANAGE DATA ACTIVELY PROVIDED BY USERS WITH DATA OBTAINED BY PHYSICAL SENSORS ON THEIR MOBILE DEVICES; (III) ADAPT SPATIAL-TEMPORAL ANALYSIS TECHNIQUES FOR THIS GEOLOCATED AND UNSTRUCTURED DATA FLOW AND (IV) DESIGN THE NECESSARY MECHANISMS FOR THE ANALYSIS OF COLLECTIVE BEHAVIOR TO DETECT ANOMALY BEHAVIORS THAT MAY BE INDICATIVE OF EMERGENCY SITUATIONS. (English) | |||||||||||||||
| Property / summary: PREVENTION AND RESPONSE ARE KEY TO ANY CITY FACING ANY EMERGENCY (ACCIDENTS, NATURAL DISASTERS, TERRORIST ATTACKS). THIS USUALLY INVOLVES MANAGING 4 PHASES: MITIGATION, PREVENTING THREATS FROM TURNING INTO DISASTERS; (II) PLANNING, COPING WITH THE DISASTER WHEN IT OCCURS; (III) RESPONSE, COORDINATING EFFORTS FOR CRISIS SITUATIONS; And (IV) RECOVERATION, VOLVE THE NORMAL STATE AS PRONTO AS POSIBLE._x000D_ _x000D_ The ubiquity of sensors, internets and MOVILE DISPOSITIVES in network allow a new paradigm in which the CIUDADANS monitor the environment through their MOVILE DISPOSITIVES by collecting DATA (AUDIO, VIDEO, UBICATION) OF CONSCIENT AND/OR INCONSCIENT FORM. IN THIS CONTEXT, LOCALISATION SERVICES LINKED TO SOCIAL NETWORKS (LBSN) ARISE SO THAT USERS CAN SUBSCRIBE THEIR POSITION TO PHYSICAL LOCATIONS (CHEK-IN) AND SHARE THEM WITH THEIR CONTACTS. The MASIVE ADOPTION OF THIS IMPLICAL SERVICES TYPE OF A GREAT QUANTITY OF SOCIAL AND Geographic DATA VINCULED, WHY ANALISIS ESPACIAL, TEMPORAL will allow the Inference OF PATRONS OF USERs’ COMMUNITIES, TRAFFIC FLUJES, EMOTIONS VINCULED TO COLLECTIVES AND, AS NO, RECOGNISING EVIDENCES OF POTENTENT PELIGROUS SITUATIONS Which Permit A TEMPREAN DETECTION AND ADELITED AND EFFECTIVE MANAGEMENT OF THE MISMAS._x000D_ _x000D_ The VIGO UNIVERSITY sub-project is CENTRATED IN THE ATTENUATION PASE, applying technical data to the information gathered through the social networks to provide the basis for the temporary declaration and its reply to an emergency situation. THE INFORMATION WILL COME FROM: (I) THE ACTIVE SHARING OF CITIZENs’ EXPERIENCES AND (II) THE DATA OBTAINED FROM THEIR MOBILE DEVICES (GPS, TEMPERATURE SENSOR, ETC.), WHICH ALLOW TO CONTEXTUALISE THE PRIOR INFORMATION. THUS, OUR CITIZEN BECOMES A SENSOR THAT PROVIDES GEOLOCATED INFORMATION IN REAL TIME. THESE DATA ARE NORMALLY NOISY (UNSTRUCTURED, FROM DIFFERENT SOURCES, ETC.), SO IT IS NECESSARY TO APPLY FUSION TECHNIQUES AND CLEAN UP INFORMATION SOURCES TO MAKE THEM ACCESSIBLE TO THE TIME-SPACE ANALYSIS. THIS ANALYSIS WILL MAKE IT POSSIBLE TO INFER THE BEHAVIOR OF THE COLLECTIVES THROUGH THE ESTABLISHMENT OF BEHAVIORAL PATTERNS AND THE SUBSEQUENT DETECTION OF SUCH ANOMALIES. Obviously, ASPECTS AS THE REPUTATION AND FIABILITY OF SOURCES COUNCIL IN THIS CASE A SPECIAL PROTAGONISM FOR EVALUATION OF THE CREDIBILITY OF INFORMATION_x000D_ _x000D_ In summary, the SPECIFIC OBJECTIVES OF this subproject are CENTREED IN: (I) CONSIDER THE CITIZEN AS ONE MORE SENSOR WHOSE DATA CAN BE ANALYSED USING MINING TECHNIQUES, ESPECIALLY IF THEY COME FROM LBNS; (II) USE DATA FUSION TECHNIQUES TO MANAGE DATA ACTIVELY PROVIDED BY USERS WITH DATA OBTAINED BY PHYSICAL SENSORS ON THEIR MOBILE DEVICES; (III) ADAPT SPATIAL-TEMPORAL ANALYSIS TECHNIQUES FOR THIS GEOLOCATED AND UNSTRUCTURED DATA FLOW AND (IV) DESIGN THE NECESSARY MECHANISMS FOR THE ANALYSIS OF COLLECTIVE BEHAVIOR TO DETECT ANOMALY BEHAVIORS THAT MAY BE INDICATIVE OF EMERGENCY SITUATIONS. (English) / rank | |||||||||||||||
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| Property / summary: PREVENTION AND RESPONSE ARE KEY TO ANY CITY FACING ANY EMERGENCY (ACCIDENTS, NATURAL DISASTERS, TERRORIST ATTACKS). THIS USUALLY INVOLVES MANAGING 4 PHASES: MITIGATION, PREVENTING THREATS FROM TURNING INTO DISASTERS; (II) PLANNING, COPING WITH THE DISASTER WHEN IT OCCURS; (III) RESPONSE, COORDINATING EFFORTS FOR CRISIS SITUATIONS; And (IV) RECOVERATION, VOLVE THE NORMAL STATE AS PRONTO AS POSIBLE._x000D_ _x000D_ The ubiquity of sensors, internets and MOVILE DISPOSITIVES in network allow a new paradigm in which the CIUDADANS monitor the environment through their MOVILE DISPOSITIVES by collecting DATA (AUDIO, VIDEO, UBICATION) OF CONSCIENT AND/OR INCONSCIENT FORM. IN THIS CONTEXT, LOCALISATION SERVICES LINKED TO SOCIAL NETWORKS (LBSN) ARISE SO THAT USERS CAN SUBSCRIBE THEIR POSITION TO PHYSICAL LOCATIONS (CHEK-IN) AND SHARE THEM WITH THEIR CONTACTS. The MASIVE ADOPTION OF THIS IMPLICAL SERVICES TYPE OF A GREAT QUANTITY OF SOCIAL AND Geographic DATA VINCULED, WHY ANALISIS ESPACIAL, TEMPORAL will allow the Inference OF PATRONS OF USERs’ COMMUNITIES, TRAFFIC FLUJES, EMOTIONS VINCULED TO COLLECTIVES AND, AS NO, RECOGNISING EVIDENCES OF POTENTENT PELIGROUS SITUATIONS Which Permit A TEMPREAN DETECTION AND ADELITED AND EFFECTIVE MANAGEMENT OF THE MISMAS._x000D_ _x000D_ The VIGO UNIVERSITY sub-project is CENTRATED IN THE ATTENUATION PASE, applying technical data to the information gathered through the social networks to provide the basis for the temporary declaration and its reply to an emergency situation. THE INFORMATION WILL COME FROM: (I) THE ACTIVE SHARING OF CITIZENs’ EXPERIENCES AND (II) THE DATA OBTAINED FROM THEIR MOBILE DEVICES (GPS, TEMPERATURE SENSOR, ETC.), WHICH ALLOW TO CONTEXTUALISE THE PRIOR INFORMATION. THUS, OUR CITIZEN BECOMES A SENSOR THAT PROVIDES GEOLOCATED INFORMATION IN REAL TIME. THESE DATA ARE NORMALLY NOISY (UNSTRUCTURED, FROM DIFFERENT SOURCES, ETC.), SO IT IS NECESSARY TO APPLY FUSION TECHNIQUES AND CLEAN UP INFORMATION SOURCES TO MAKE THEM ACCESSIBLE TO THE TIME-SPACE ANALYSIS. THIS ANALYSIS WILL MAKE IT POSSIBLE TO INFER THE BEHAVIOR OF THE COLLECTIVES THROUGH THE ESTABLISHMENT OF BEHAVIORAL PATTERNS AND THE SUBSEQUENT DETECTION OF SUCH ANOMALIES. Obviously, ASPECTS AS THE REPUTATION AND FIABILITY OF SOURCES COUNCIL IN THIS CASE A SPECIAL PROTAGONISM FOR EVALUATION OF THE CREDIBILITY OF INFORMATION_x000D_ _x000D_ In summary, the SPECIFIC OBJECTIVES OF this subproject are CENTREED IN: (I) CONSIDER THE CITIZEN AS ONE MORE SENSOR WHOSE DATA CAN BE ANALYSED USING MINING TECHNIQUES, ESPECIALLY IF THEY COME FROM LBNS; (II) USE DATA FUSION TECHNIQUES TO MANAGE DATA ACTIVELY PROVIDED BY USERS WITH DATA OBTAINED BY PHYSICAL SENSORS ON THEIR MOBILE DEVICES; (III) ADAPT SPATIAL-TEMPORAL ANALYSIS TECHNIQUES FOR THIS GEOLOCATED AND UNSTRUCTURED DATA FLOW AND (IV) DESIGN THE NECESSARY MECHANISMS FOR THE ANALYSIS OF COLLECTIVE BEHAVIOR TO DETECT ANOMALY BEHAVIORS THAT MAY BE INDICATIVE OF EMERGENCY SITUATIONS. (English) / qualifier | |||||||||||||||
point in time: 12 October 2021
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Revision as of 14:05, 12 October 2021
Project Q3143103 in Spain
| Language | Label | Description | Also known as |
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| English | No label defined |
Project Q3143103 in Spain |
Statements
9,680.0 Euro
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12,100.0 Euro
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80.0 percent
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1 January 2014
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30 June 2015
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UNIVERSIDAD DE VIGO
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42°14'15.58"N, 8°43'28.99"W
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36057
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PREVENCION Y RESPUESTA SON CLAVE PARA QUE CUALQUIER CIUDAD HAGA FRENTE A CUALQUIER EMERGENCIA (ACCIDENTES, DESASTRES NATURALES, ATAQUES TERRORISTAS¿). NORMALMENTE ESTO IMPLICA GESTIONAR 4 FASES: (I) ATENUACION, EVITAR QUE LAS AMENAZAS TORNEN EN DESASTRES; (II) PLANIFICACION, HACER FRENTE AL DESASTRE CUANDO ESTE OCURRE; (III) RESPUESTA, COORDINAR ESFUERZOS PARA SITUACIONES DE CRISIS; Y (IV) RECUPERACION, VOLVER AL ESTADO NORMAL TAN PRONTO COMO SEA POSIBLE._x000D_ _x000D_ LA UBICUIDAD DE SENSORES, INTERNET Y DISPOSITIVOS MOVILES EN RED PERMITEN UN NUEVO PARADIGMA EN EL QUE LOS CIUDADANOS MONITORIZAN EL ENTORNO A TRAVES DE SUS DISPOSITIVOS MOVILES RECOLECTANDO DATOS (AUDIO, VIDEO, UBICACION ¿) DE FORMA CONSCIENTE Y/O INCONSCIENTE. EN ESTE CONTEXTO LOS SERVICIOS DE LOCALIZACION VINCULADOS A LAS REDES SOCIALES (LOCATION-BASED SOCIAL NETWORKS, LBSN) SURGEN PARA QUE LOS USUARIOS PUEDAN ADSCRIBIR SU POSICION A UBICACIONES FISICAS (CHEK-IN) Y COMPARTIRLAS CON SUS CONTACTOS. LA ADOPCION MASIVA DE ESTE TIPO DE SERVICIOS IMPLICA DISPONER DE UNA GRAN CANTIDAD DE DATOS SOCIALES Y GEOGRAFICOS VINCULADOS, CUYO ANALISIS ESPACIAL, TEMPORAL PERMITIRA LA INFERENCIA DE PATRONES DE COMUNIDADES DE USUARIOS, FLUJOS DE TRAFICO, EMOCIONES VINCULADAS A COLECTIVOS Y, COMO NO, RECOPILAR EVIDENCIAS DE SITUACIONES POTENCIALMENTE PELIGROSAS QUE PERMITIRAN UNA DETECCION TEMPRANA Y UNA GESTION ADECUADA Y EFICIENTE DE LAS MISMAS._x000D_ _x000D_ EL SUBPROYECTO DE LA UNIVERSIDAD DE VIGO SE CENTRA EN LA FASE DE ATENUACION, APLICANDO TECNICAS DE MINERIA DE DATOS A LA INFORMACION RECOPILADA A TRAVES DE LAS REDES SOCIALES PARA PROPORCIONAR LA BASE QUE PERMITA LA DETECCION TEMPRANA Y SU RESPUESTA ANTE UNA SITUACION DE EMERGENCIA. LA INFORMACION PROVENDRA DE: (I) LA COMPARTICION ACTIVA DE LAS EXPERIENCIAS DE LOS CIUDADANOS Y (II) LOS DATOS OBTENIDOS DE SUS DISPOSITIVOS MOVILES (GPS, SENSOR DE TEMPERATURA, ETC.), QUE PERMITEN CONTEXTUALIZAR LA INFORMACION PREVIA. ASI, NUESTRO CIUDADANO SE CONVIERTE EN UN SENSOR QUE PROPORCIONA INFORMACION GEOLOCALIZADA EN TIEMPO REAL. ESTOS DATOS SON NORMALMENTE RUIDOSOS (NO ESTRUCTURADOS, DE FUENTES DIFERENTES, ETC.), POR LO QUE ES PRECISO APLICAR TECNICAS DE FUSION Y LIMPIEZA DE FUENTES DE INFORMACION PARA HACERLAS ACCESIBLES AL ANALISIS ESPACIO-TEMPORAL. ESTE ANALISIS PERMITIRA INFERIR EL COMPORTAMIENTO DE LOS COLECTIVOS MEDIANTE EL ESTABLECIMIENTO DE PATRONES DE COMPORTAMIENTO Y LA POSTERIOR DETECCION DE DICHAS ANOMALIAS. OBVIAMENTE, ASPECTOS COMO LA REPUTACION Y LA FIABILIDAD DE LAS FUENTES COBRAN EN ESTE CASO UN PROTAGONISMO ESPECIAL PARA EVALUAR LA CREDIBILIDAD DE LA INFORMACION_x000D_ _x000D_ EN RESUMEN, LOS OBJETIVOS ESPECIFICOS DE ESTE SUBPROYECTO SE CENTRAN EN: (I) CONSIDERAR AL CIUDADANO COMO UN SENSOR MAS CUYOS DATOS PUEDEN SER ANALIZADOS UTILIZANDO TECNICAS DE MINERIA, ESPECIALMENTE SI PROCEDEN DE LBNS; (II) UTILIZAR TECNICAS DE FUSION DE DATOS PARA GESTIONAR LOS DATOS PROPORCIONADOS ACTIVAMENTE POR LOS USUARIOS CON LOS DATOS OBTENIDOS POR LOS SENSORES FISICOS EN SUS DISPOSITIVOS MOVILES; (III) ADAPTAR TECNICAS DE ANALISIS ESPACIO-TEMPORAL PARA ESTE FLUJO DE DATOS GEOLOCALIZADOS Y DESESTRUCTURADOS Y (IV) DISEÑAR LOS MECANISMOS NECESARIOS PARA EL ANALISIS DEL COMPORTAMIENTO DE COLECTIVOS QUE PERMITA DETECTAR COMPORTAMIENTOS ANOMALOS QUE PUEDAN SER INDICATIVOS DE SITUACIONES DE EMERGENCIA. (Spanish)
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PREVENTION AND RESPONSE ARE KEY TO ANY CITY FACING ANY EMERGENCY (ACCIDENTS, NATURAL DISASTERS, TERRORIST ATTACKS). THIS USUALLY INVOLVES MANAGING 4 PHASES: MITIGATION, PREVENTING THREATS FROM TURNING INTO DISASTERS; (II) PLANNING, COPING WITH THE DISASTER WHEN IT OCCURS; (III) RESPONSE, COORDINATING EFFORTS FOR CRISIS SITUATIONS; And (IV) RECOVERATION, VOLVE THE NORMAL STATE AS PRONTO AS POSIBLE._x000D_ _x000D_ The ubiquity of sensors, internets and MOVILE DISPOSITIVES in network allow a new paradigm in which the CIUDADANS monitor the environment through their MOVILE DISPOSITIVES by collecting DATA (AUDIO, VIDEO, UBICATION) OF CONSCIENT AND/OR INCONSCIENT FORM. IN THIS CONTEXT, LOCALISATION SERVICES LINKED TO SOCIAL NETWORKS (LBSN) ARISE SO THAT USERS CAN SUBSCRIBE THEIR POSITION TO PHYSICAL LOCATIONS (CHEK-IN) AND SHARE THEM WITH THEIR CONTACTS. The MASIVE ADOPTION OF THIS IMPLICAL SERVICES TYPE OF A GREAT QUANTITY OF SOCIAL AND Geographic DATA VINCULED, WHY ANALISIS ESPACIAL, TEMPORAL will allow the Inference OF PATRONS OF USERs’ COMMUNITIES, TRAFFIC FLUJES, EMOTIONS VINCULED TO COLLECTIVES AND, AS NO, RECOGNISING EVIDENCES OF POTENTENT PELIGROUS SITUATIONS Which Permit A TEMPREAN DETECTION AND ADELITED AND EFFECTIVE MANAGEMENT OF THE MISMAS._x000D_ _x000D_ The VIGO UNIVERSITY sub-project is CENTRATED IN THE ATTENUATION PASE, applying technical data to the information gathered through the social networks to provide the basis for the temporary declaration and its reply to an emergency situation. THE INFORMATION WILL COME FROM: (I) THE ACTIVE SHARING OF CITIZENs’ EXPERIENCES AND (II) THE DATA OBTAINED FROM THEIR MOBILE DEVICES (GPS, TEMPERATURE SENSOR, ETC.), WHICH ALLOW TO CONTEXTUALISE THE PRIOR INFORMATION. THUS, OUR CITIZEN BECOMES A SENSOR THAT PROVIDES GEOLOCATED INFORMATION IN REAL TIME. THESE DATA ARE NORMALLY NOISY (UNSTRUCTURED, FROM DIFFERENT SOURCES, ETC.), SO IT IS NECESSARY TO APPLY FUSION TECHNIQUES AND CLEAN UP INFORMATION SOURCES TO MAKE THEM ACCESSIBLE TO THE TIME-SPACE ANALYSIS. THIS ANALYSIS WILL MAKE IT POSSIBLE TO INFER THE BEHAVIOR OF THE COLLECTIVES THROUGH THE ESTABLISHMENT OF BEHAVIORAL PATTERNS AND THE SUBSEQUENT DETECTION OF SUCH ANOMALIES. Obviously, ASPECTS AS THE REPUTATION AND FIABILITY OF SOURCES COUNCIL IN THIS CASE A SPECIAL PROTAGONISM FOR EVALUATION OF THE CREDIBILITY OF INFORMATION_x000D_ _x000D_ In summary, the SPECIFIC OBJECTIVES OF this subproject are CENTREED IN: (I) CONSIDER THE CITIZEN AS ONE MORE SENSOR WHOSE DATA CAN BE ANALYSED USING MINING TECHNIQUES, ESPECIALLY IF THEY COME FROM LBNS; (II) USE DATA FUSION TECHNIQUES TO MANAGE DATA ACTIVELY PROVIDED BY USERS WITH DATA OBTAINED BY PHYSICAL SENSORS ON THEIR MOBILE DEVICES; (III) ADAPT SPATIAL-TEMPORAL ANALYSIS TECHNIQUES FOR THIS GEOLOCATED AND UNSTRUCTURED DATA FLOW AND (IV) DESIGN THE NECESSARY MECHANISMS FOR THE ANALYSIS OF COLLECTIVE BEHAVIOR TO DETECT ANOMALY BEHAVIORS THAT MAY BE INDICATIVE OF EMERGENCY SITUATIONS. (English)
12 October 2021
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Vigo
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Identifiers
TEC2013-47665-C4-3-R
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