Improvements in the geocoding process in organizational environments

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

A Review of Urban Geocoding,1973.

The purpose of this report is to describe and evaluate recent efforts in spatial referencing problems and to assess the utility of the developments for urban research, particularly. and to speculate on future developments in the field attempting to structure the issues and review literature and directions of what has become known as "geocoding."

A rank aggregation framework for video multimodal geocoding

This paper proposes a rank aggregation framework for video multimodal geocoding. Textual and visual descriptions associated with videos are used to define ranked lists. These ranked lists are later combined, and the resulting ranked list is used to define appropriate locations for videos. An architecture that implements the proposed framework is designed. In this architecture, there are specific modules for each modality (e.g, textual and visual) that can be developed and evolved independently. Another component is a data fusion module responsible for combining seamlessly the ranked lists defined for each modality. We have validated the proposed framework in the context of the MediaEval 2012 Placing Task, whose objective is to automatically assign geographical coordinates to videos. Obtained results show how our multimodal approach improves the geocoding results when compared to methods that rely on a single modality (either textual or visual descriptors). We also show that the proposed multimodal approach yields comparable results to the best submissions to the Placing Task in 2012 using no extra information besides the available development/training data. Another contribution of this work is related to the proposal of a new effectiveness evaluation measure. The proposed measure is based on distance scores that summarize how effective a designed/tested approach is, considering its overall result for a test dataset. © 2013 Springer Science+Business Media New York.

A survey of national geocoding systems /

Final report; October 1973-June 1974.

SIAT:sistema de informações e alertas de trânsito

A evolução tecnológica e das sociedades permitiu que, hoje em dia, uma boa parte da população tenha acesso a dispositivos móveis com funcionalidades avançadas. Com este tipo de dispositivos, temos acesso a inúmeras fontes de informação em tempo-real, mas esta característica ainda não é, hoje em dia, aproveitada na sua totalidade. Este projecto tenta tirar partido desta realidade para, utilizando os diversos dispositivos móveis, criar uma rede de troca de informações de trânsito. O utilizador apenas necessita de servir-se do seu dispositivo móvel para, automaticamente, obter as mais recentes informações de trânsito enquanto, paralelamente, partilha com os outros utilizadores a sua informação. Apesar de existirem outras alternativas no mercado, com soluções que permitem usufruir do mesmo tipo de funcionalidades, nenhuma utiliza este tipo de dispositivos (GPS’s convencionais, por exemplo). Um dos requisitos necessário na implementação deste projecto é uma solução de geocoding. Após terem sido testadas várias soluções, nenhuma cumpria, na totalidade, os requisitos deste projecto, o que originou o desenvolvimento de uma nova solução que cumpre esses requisitos. A solução é, toda ela, muito modular, formada por vários componentes, cada um com responsabilidades bem identificadas. A arquitectura desta solução baseia-se nos padrões de desenvolvimento de uma Service Oriented Architecture. Todos os componentes disponibilizam as suas operações através de web services, e a sua descoberta recorre ao protocolo WS-Discovery. Estes vários componentes podem ser divididos em duas categorias: os do núcleo, responsáveis por criar e oferecer as funcionalidades requisitadas neste projecto e os módulos externos, nos quais se incluem as aplicações que apresentam as funcionalidades ao utilizador. Foram criadas duas formas de consumir a informação oferecida pelo serviço SIAT: a aplicação móvel e um website. No âmbito dos dispositivos móveis, foi desenvolvida uma aplicação para o sistema operativo Windows Phone 7.

Deteção automática de atividades agronómicas

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Creation of a web application for smart park system and parking prediction study for system integration

In the last few years, we have observed an exponential increasing of the information systems, and parking information is one more example of them. The needs of obtaining reliable and updated information of parking slots availability are very important in the goal of traffic reduction. Also parking slot prediction is a new topic that has already started to be applied. San Francisco in America and Santander in Spain are examples of such projects carried out to obtain this kind of information. The aim of this thesis is the study and evaluation of methodologies for parking slot prediction and the integration in a web application, where all kind of users will be able to know the current parking status and also future status according to parking model predictions. The source of the data is ancillary in this work but it needs to be understood anyway to understand the parking behaviour. Actually, there are many modelling techniques used for this purpose such as time series analysis, decision trees, neural networks and clustering. In this work, the author explains the best techniques at this work, analyzes the result and points out the advantages and disadvantages of each one. The model will learn the periodic and seasonal patterns of the parking status behaviour, and with this knowledge it can predict future status values given a date. The data used comes from the Smart Park Ontinyent and it is about parking occupancy status together with timestamps and it is stored in a database. After data acquisition, data analysis and pre-processing was needed for model implementations. The first test done was with the boosting ensemble classifier, employed over a set of decision trees, created with C5.0 algorithm from a set of training samples, to assign a prediction value to each object. In addition to the predictions, this work has got measurements error that indicates the reliability of the outcome predictions being correct. The second test was done using the function fitting seasonal exponential smoothing tbats model. Finally as the last test, it has been tried a model that is actually a combination of the previous two models, just to see the result of this combination. The results were quite good for all of them, having error averages of 6.2, 6.6 and 5.4 in vacancies predictions for the three models respectively. This means from a parking of 47 places a 10% average error in parking slot predictions. This result could be even better with longer data available. In order to make this kind of information visible and reachable from everyone having a device with internet connection, a web application was made for this purpose. Beside the data displaying, this application also offers different functions to improve the task of searching for parking. The new functions, apart from parking prediction, were: - Park distances from user location. It provides all the distances to user current location to the different parks in the city. - Geocoding. The service for matching a literal description or an address to a concrete location. - Geolocation. The service for positioning the user. - Parking list panel. This is not a service neither a function, is just a better visualization and better handling of the information.

Caracterização clínica epidemiológica e geográfica da hanseníase em município hiperendêmico do Brasil

Pós-graduação em Saúde Coletiva - FMB

Caracterização clínica epidemiológica e geográfica da hanseníase em município hiperendêmico do Brasil

Pós-graduação em Saúde Coletiva - FMB

Comparación de las aplicaciones de Google y Yahoo para la geocodificación de direcciones postales con fines epidemiológicos

Fundamentos: Geocodificar es asignar coordenadas geográficas a puntos del espacio, frecuentemente direcciones postales. El error cometido al aplicar este proceso puede introducir un sesgo en las estimaciones de modelos espacio-temporales en estudios epidemiológicos. No se han encontrado estudios que midan este error en ciudades españolas. El objetivo es evaluar los errores en magnitud y direccionalidad de dos recursos gratuitos (Google y Yahoo) respecto a GPS en dos ciudades de España. Método: Se geocodificaron 30 direcciones aleatorias con los dos recursos citados y con GPS en Santa Pola (Alicante) y en Alicante. Se calculó la mediana y su IC95% del error en metros entre los recursos y GPS, para el total y por el status reportado. Se evaluó la direccionalidad del error calculando el cuadrante de localización y aplicando un test Chi-Cuadrado. Se evaluó el error del GPS midiendo 11 direcciones dos veces en un intervalo de 4 días. Resultados: La mediana del error total desde Google-GPS fue de 23,2 metros (16,0-32,2) para Santa Pola y 21,4 metros (14,9-31,1) en Alicante. Para Yahoo fue de 136,0 (19,2-318,5) para Santa Pola y 23,8 (13,6-29,2) para Alicante. Por status, se geocodificó entre un 73% y 90% como ‘exactas o interpoladas’ (menor error), tanto Google como Yahoo tuvieron una mediana del error de entre 19 y 22 metros en las dos ciudades. El error del GPS fue de 13,8 (6,7-17,8) metros. No se detectó direccionalidad. Conclusiones: El error de Google es asumible y estable en las dos ciudades, siendo un recurso fiable para geocodificar direcciones postales en España en estudios epidemiológicos.

Social machines dictating social behaviors – When context is missing what is the fallout of uberveillance?

Abstract: In the mid-1990s when I worked for a telecommunications giant I struggled to gain access to basic geodemographic data. It cost hundreds of thousands of dollars at the time to simply purchase a tile of satellite imagery from Marconi, and it was often cheaper to create my own maps using a digitizer and A0 paper maps. Everything from granular administrative boundaries to right-of-ways to points of interest and geocoding capabilities were either unavailable for the places I was working in throughout Asia or very limited. The control of this data was either in a government’s census and statistical bureau or was created by a handful of forward thinking corporations. Twenty years on we find ourselves inundated with data (location and other) that we are challenged to amalgamate, and much of it still “dirty” in nature. Open data initiatives such as ODI give us great hope for how we might be able to share information together and capitalize not only in the crowdsourcing behavior but in the implications for positive usage for the environment and for the advancement of humanity. We are already gathering and amassing a great deal of data and insight through excellent citizen science participatory projects across the globe. In early 2015, I delivered a keynote at the Data Made Me Do It conference at UC Berkeley, and in the preceding year an invited talk at the inaugural QSymposium. In gathering research for these presentations, I began to ponder on the effect that social machines (in effect, autonomous data collection subjects and objects) might have on social behaviors. I focused on studying the problem of data from various veillance perspectives, with an emphasis on the shortcomings of uberveillance which included the potential for misinformation, misinterpretation, and information manipulation when context was entirely missing. As we build advanced systems that rely almost entirely on social machines, we need to ponder on the risks associated with following a purely technocratic approach where machines devoid of intelligence may one day dictate what humans do at the fundamental praxis level. What might be the fallout of uberveillance? Bio: Dr Katina Michael is a professor in the School of Computing and Information Technology at the University of Wollongong. She presently holds the position of Associate Dean – International in the Faculty of Engineering and Information Sciences. Katina is the IEEE Technology and Society Magazine editor-in-chief, and IEEE Consumer Electronics Magazine senior editor. Since 2008 she has been a board member of the Australian Privacy Foundation, and until recently was the Vice-Chair. Michael researches on the socio-ethical implications of emerging technologies with an emphasis on an all-hazards approach to national security. She has written and edited six books, guest edited numerous special issue journals on themes related to radio-frequency identification (RFID) tags, supply chain management, location-based services, innovation and surveillance/ uberveillance for Proceedings of the IEEE, Computer and IEEE Potentials. Prior to academia, Katina worked for Nortel Networks as a senior network engineer in Asia, and also in information systems for OTIS and Andersen Consulting. She holds cross-disciplinary qualifications in technology and law.