Fatores-chave de sucesso na adoção de aplicativos móveis de táxi

A pesquisa tem como objetivo investigar os fatores-chave de sucesso na adoção de aplicativos móveis de táxi (AMTs) por taxistas. Baseando-se nos modelos de Aceitação Tecnológica (DAVIS; BAGOZZI; WARSHAW, 1989), Difusão da Inovação (ROGERS, 1995) e de Confiança (CARTER; BÉLANGER, 2005), o trabalho propõe também uma revisão da literatura de Aplicações Móveis aplicada ao contexto dos AMTs (VAN BILJON; KOTZÉ, 2007). Para o propósito dessa pesquisa, os AMTs são definidos como aplicativos de serviço móvel avançado que viabilizam, por meio de Internet e geolocalização, a solicitação de transporte de táxi em dispositivos móveis, mediante sistemas de informação e chamadas telefônicas, e o acompanhamento da prestação do serviço e seu pagamento. A partir de entrevistas semiestruturadas em profundidade e aplicações de questionários em pesquisa de campo, o estudo propõe uma triangulação de métodos de Análise Lexical (BOTTA,2010; GEERAERTS,2010), Conteúdo (BARDIN,2006) e Ranking Médio (OLIVEIRA,2005) para a investigação dos fatores identificados na literatura. Os resultados apontam que os fatores influenciadores do sucesso dos AMTs, na perspectiva de uso pelos motoristas de táxi, são Simplicidade e Utilidade Percebida, enquanto os moderadores são Segurança e Ganhos Financeiros. Acredita-se que a pesquisa poderá contribuir para a discussão de um tema ainda pouco explorado na literatura no Brasil, os Aplicativos Móveis, além de proporcionar implicações gerenciais no âmbito da inovação em empresas desenvolvedoras.

Help-me-Here: sistema para atendimento a chamada de emergência rápida e inteligente

This final paper is a reflection on mobile service of urgency by raising the main difficulties encountered by organizations, and seeking innovative solutions through new technological features like smartphones, tablets application and cloud computing to develop a scalable system and globalized, based on geolocation that is able to overcome this difficulty being accessible to the whole population

Explorando a matemática do posicionamento geográfico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Progettazione e realizzazione di soluzioni per la geolocalizzazione e marketing di prossimità mediante utilizzo di tecnologia iBeacons.

Si analizza il nuovo protocollo iBeacon, proposto da Apple, e come questo possa essere utilizzato per migliorare e rendere maggiormente efficace la user experience delle applicazioni. Viene inoltre definito lo stato dell'arte di questa tecnologia analizzando l'hardware e il software a oggi presenti sul mercato. Proponendo un esempio di come tale protocollo possa essere utilizzato per implementare tecniche di marketing di prossimità.

Ideazione di sistemi distribuiti collaborativi basati su realta aumentata mobile: un caso di studio, con approfondimento relativo all'interfaccia utente

L'obiettivo di questa tesi è quello di esplorare l'ideazione di sistemi software collaborativi innovativi basati su smart-glasses e forme di realtà aumentata mobile. In particolare, è stato formulato un caso di studio che cattura alcuni aspetti essenziali di questi sistemi: un'applicazione nel quale più utenti dotati di smart glasses si muovono in una zona precisa cercando di raggiungere tutti i punti d'interesse preimpostati in fase di inizializzazione e ottendendo le ricompense contenute dentro agli scrigni situati nei suddetti punti. Lo specifico caso di studio si occupa di approfondire gli aspetti relativi all'Interfaccia Utente, mentre precedentemente erano state affrontate le parti riguardanti la comunicazione e la cooperazione. L'applicazione è location-based e si serve delle tecniche di geolocalizzazione GPS ed è hands-free perché l'interfaccia grafica è mostrata all'utente tramite lo schermo degli smart-glasses.

INTEGRATION D’UN OBSERVATOIRE URBAIN SUR GOOGLE MAPS : Cas des infrastructures de la santé de la ville de Douala Cameroun

The spectacular advances computer science applied to geographic information systems (GIS) in recent times has favored the emergence of several technological solutions. These developments have given rise to enormous opportunities for digital management of the territory. Among the technological solutions, the most famous Google Maps offers free online mapping dynamic exhaustive of the Maps. In addition to meet the enormous needs of urban indicators geotagged information, we did work on this project “Integration of an urban observatory on Google Maps.” The problem of geolocation in the urban observatory is particularly relevant in the sense that there is currently no data (descriptive and geographical) reliable on the urban sector; we must stick to extrapolate from data old and obsolete. This helps to curb the effectiveness of urban management to make difficult investment programming and to prevent the acquisition of knowledge to make cities engines of growth. The use of a geolocation tool coupled to the data would allow better monitoring of indicators Our project's objective is to develop an interactive map server (WebMapping) which map layer is formed from the resources of the Google Maps servers and match information from the field to produce maps of urban equipment and infrastructure of a city data to the client's request To achieve this goal, we will participate in a study of a GPS location of strategic sites in our core sector (health facilities), on the other hand, using information from the field, we will build a postgresql database that will link the information from the field to map from Google Maps via KML scripts and PHP appropriate. We will limit ourselves in our work to the city of Douala Cameroon with the sectors of health facilities with the possibility of extension to other areas and other cities. Keywords: Geographic Information System (GIS), Thematic Mapping, Web Mapping, data mining, Google API.

Contextualizing local-scale point sample data using global-scale spatial datasets: Lessons learnt from the analysis of large-scale land acquisitions

This paper examines how the geospatial accuracy of samples and sample size influence conclusions from geospatial analyses. It does so using the example of a study investigating the global phenomenon of large-scale land acquisitions and the socio-ecological characteristics of the areas they target. First, we analysed land deal datasets of varying geospatial accuracy and varying sizes and compared the results in terms of land cover, population density, and two indicators for agricultural potential: yield gap and availability of uncultivated land that is suitable for rainfed agriculture. We found that an increase in geospatial accuracy led to a substantial and greater change in conclusions about the land cover types targeted than an increase in sample size, suggesting that using a sample of higher geospatial accuracy does more to improve results than using a larger sample. The same finding emerged for population density, yield gap, and the availability of uncultivated land suitable for rainfed agriculture. Furthermore, the statistical median proved to be more consistent than the mean when comparing the descriptive statistics for datasets of different geospatial accuracy. Second, we analysed effects of geospatial accuracy on estimations regarding the potential for advancing agricultural development in target contexts. Our results show that the target contexts of the majority of land deals in our sample whose geolocation is known with a high level of accuracy contain smaller amounts of suitable, but uncultivated land than regional- and national-scale averages suggest. Consequently, the more target contexts vary within a country, the more detailed the spatial scale of analysis has to be in order to draw meaningful conclusions about the phenomena under investigation. We therefore advise against using national-scale statistics to approximate or characterize phenomena that have a local-scale impact, particularly if key indicators vary widely within a country.

Global distributions of diatoms abundance, biovolume and biomass - Gridded data product (NetCDF) - Contribution to the MAREDAT World Ocean Atlas of Plankton Functional Types

This study is a first effort to compile the largest possible body of data available from different plankton databases as well as from individual published or unpublished datasets regarding diatom distribution in the world ocean. The data obtained originate from time series studies as well as spatial studies. This effort is supported by the Marine Ecosystem Data (MAREDAT) project, which aims at building consistent data sets for the main PFTs (Plankton Functional Types) in order to help validate biogeochemical ocean models by using converted C biomass from abundance data. Diatom abundance data were obtained from various research programs with the associated geolocation and date of collection, as well as with a taxonomic information ranging from group down to species. Minimum, maximum and average cell size information were mined from the literature for each taxonomic entry, and all abundance data were subsequently converted to biovolume and C biomass using the same methodology.

Sonophone: Desarrollo y evaluación de un sonómetro profesional para iOS

La medida de la presión sonora es un proceso de extrema importancia para la ingeniería acústica, de aplicación en numerosas áreas de esta disciplina, como la acústica arquitectónica o el control de ruido. Sobre todo en esta última, es necesario poder efectuar medidas precisas en condiciones muy diversas. Por otra parte, la ubicuidad de los dispositivos móviles inteligentes (smartphones, tabletas, etc.), dispositivos que integran potencia de procesado, conectividad, interactividad y una interfaz intuitiva en un tamaño reducido, abre la posibilidad de su uso como sistemas de medida de calidad y de coste bajo. En este Proyecto se pretende utilizar las capacidades de entrada y salida, procesado, conectividad inalámbrica y geolocalización de los dispositivos móviles basados en iOS, en concreto el iPhone, para implementar un sistema de medidas acústicas que iguale o supere las prestaciones de los sonómetros existentes en el mercado. SonoPhone permitirá, mediante la conexión de un micrófono de medida adecuado, la realización de medidas de acuerdo a las normas técnicas en vigor, así como la posibilidad de programar, configurar y almacenar o trasmitir las medidas realizadas, que además estarán geolocalizadas con el GPS integrado en el dispositivo móvil. También se permitirá enviar los datos de la medida a un almacenamiento remoto en la nube. La aplicación tiene una estructura modular en la que un módulo de adquisición de datos lee la señal del micrófono, un back-end efectúa el procesado necesario, y otros módulos permiten la calibración del dispositivo y programar y configurar las medidas, así como su almacenamiento y transmisión en red. Una interfaz de usuario (GUI) permite visualizar las medidas y efectuar las configuraciones deseadas por el usuario, todo ello en tiempo real. Además de implementar la aplicación, se ha realizado una prueba de funcionamiento para determinar si el hardware del iPhone es adecuado para la medida de la presión acústica de acuerdo a las normas internacionales. Sound pressure measurement is an extremely important process in the field of acoustic engineering, with applications in numerous subfields, like for instance building acoustics and noise control, where it is necessary to be able to accurately measure sound pressure in very diverse (and sometimes adverse) conditions. On the other hand, the growing ubiquity of mobile devices such as smartphones or tablets, which combine processing power, connectivity, interactivity and an intuitive interface in a small size, makes it possible to use these devices as quality low-cost measurement systems. This Project aims to use the input-output capabilities of iOS-based mobile devices, in particular the iPhone, together with their processing power, wireless connectivity and geolocation features, to implement an acoustic measurement system that rivals the performance of existing devices. SonoPhone allows, with the addition of an adequate measurement microphone, to carry out measurements that comply with current technical regulations, as well as programming, configuring, storing and transmitting the results of the measurement. These measurements will be geolocated using the integrated GPS, and can be transmitted effortlessly to a remote cloud storage. The application is structured in modular fashion. A data acquisition module reads the signal from the microphone, while a back-end module carries out the necessary processing. Other modules permit the device to be calibrated, or control the configuration of the measurement and its storage or transmission. A Graphical User Interface (GUI) allows visual feedback on the measurement in progress, and provides the user with real-time control over the measurement parameters. Not only an application has been developed; a laboratory test was carried out with the goal of determining if the hardware of the iPhone permits the whole system to comply with international regulations regarding sound level meters.

Characterization of Cavities Using the GPR, LIDAR and GNSS Techniques

The study of the many types of natural and manmade cavities in different parts of the world is important to the fields of geology, geophysics, engineering, architectures, agriculture, heritages and landscape. Ground-penetrating radar (GPR) is a noninvasive geodetection and geolocation technique suitable for accurately determining buried structures. This technique requires knowing the propagation velocity of electromagnetic waves (EM velocity) in the medium. We propose a method for calibrating the EM velocity using the integration of laser imaging detection and ranging (LIDAR) and GPR techniques using the Global Navigation Satellite System (GNSS) as support for geolocation. Once the EM velocity is known and the GPR profiles have been properly processed and migrated, they will also show the hidden cavities and the old hidden structures from the cellar. In this article, we present a complete study of the joint use of the GPR, LIDAR and GNSS techniques in the characterization of cavities. We apply this methodology to study underground cavities in a group of wine cellars located in Atauta (Soria, Spain). The results serve to identify construction elements that form the cavity and group of cavities or cellars. The described methodology could be applied to other shallow underground structures with surface connection, where LIDAR and GPR profiles could be joined, as, for example, in archaeological cavities, sewerage systems, drainpipes, etc.

Aplicación móvil y web para la gestión de lugares geolocalizados

El proyecto “Aplicación móvil y web para la gestión de lugares geolocalizados (www.midiez.com)” tiene como objetivo principal crear un repositorio de listas categorizadas de sitios para su uso en el ámbito personal o comercial. Tanto la aplicación web como la aplicación móvil desarrollada en Android tienen el propósito de gestionar listas de lugares de interés (Restaurantes, tiendas,..) o con propósitos específicos (Organización de viajes) o simplemente como una forma de anotar aquellos sitios que nos comentan y que nos gustaría visitar. El desarrollo de este proyecto además permitirá contrastar las distintas alternativas y la evolución de las distintas herramientas que se han ido desarrollando para la gestión del ocio en los últimos años desde el sistema Android y plataformas web. Todo el proyecto ha sido realizado usando software libre (PHP para el lenguaje web servidor y Java para la programación móvil). La principal finalidad desde el punto de vista del desarrollador es: aprovechar las sinergias de la programación móvil y la programación web de manera que las mismas capas de negocio de Datos sean usadas por ambas plataformas. Asimismo crear una aplicación distribuida y fácilmente escalable. Las herramientas que se han usado para desarrollar han sido: la SDK proporcionada por Google, una JDK de Java y un IDE de desarrollo Java como es Eclipse y otro similar para el desarrollo de la parte PHP. La BBDD elegida ha sido MySQL. El proyecto pretende mostrar el potencial de las aplicaciones móviles geolocalizadas desde el punto de vista del ocio y compararlas con el estado del arte actual. Por lo tanto la mayor parte del tiempo dedicado al proyecto ha sido empleado en el desarrollo de la aplicación web, la aplicación móvil y en la base de datos pero también he dedicado una pequeña parte del trabajo para realizar un estudio sobre las consecuencias que esta tecnología está teniendo en nuestros cerebros. ABSTRACT The project "Web and Mobile App for managing geolocation places” has as main objective managing of places lists in order to use them in the leisure time scope. Nowadays the use of GPS is being a constant in mobile applications so that is already part of our daily life. We used to know where we are always and at the same time we can find locations using the technology of our mobile phones. Now it is very difficult to get lost outside but also is difficult to explain somebody how to get to anywhere without using Google Maps. Google Maps, Geolocation, gps navigators, … all that kind of stuff are making our life easier and less complicated but also are making our brains lazier. Furthermore, the development of this project will use the potential of locate places into maps to avoid annotate every spot we would like to visit or a brand new restaurant. The project itself shows the location features of Google Maps combined with an places data base in order to create, and manage places lists and use them to get to them as well as to share those places with our contacts. Also, the main purpose from the point of view of the developer is to combine different programming languages and use the resulting synergies in a easily scalable and portable environment. The tools that have been used to develop are: the SDK provided by Google, one JDK Java and Java development IDE such as Eclipse and similar to the development of the PHP part. The DB has been chosen MySQL. Finally, this project aims to show, from an educational point of view, the use and potential of this technology. Thus, it has been devoted a large amount of time of the project (and, consequently, its documentation) on develop the Android app, the data base and the web app but also but also to highlight the consequences of using technology.

Aplicações baseadas em geolocalizações para gestão de instalações desportivas: exemplo de utilização da API da GOOGLE Maps no concelho de Guimarães

O contexto tecnológico em que vivemos é uma realidade. E a tendência é para ser assim também no futuro. Cada vez mais. É o caso das representações de locais e entidades em mapas digitais na web. Na visão de Crocker (2014), esta tendência é ainda mais acentuada, no âmbito das aplicações móveis, como mostram as mais diversas location-based applications. No setor do desporto e da respetiva gestão nem sempre foi fácil desenvolver aplicações, recorrendo a este tipo de representações espaciais. A tecnologia não era fácil e o know-how não era adequadamente qualificado. Mas, as empresas fornecedoras de tecnologia geoespacial simplificaram o desenvolvimento de aplicações web nesta área, através da utilização de application programming interfaces (API). Como refere Svennerberg (2010), estas API’s servem de interface entre um serviço proporcionado por uma empresa, caso da Google Maps (2013) e uma aplicação web ou móvel que utiliza esses serviços. Foi com este objetivo que desenvolvemos uma aplicação web, utilizando as metodologias próprias neste domínio, como a framework de Zachman (2009), tal como foi originalmente adaptada por Whitten e Bentley (2005), onde um dos módulos é precisamente a representação de espaços desportivos, recorrendo à utilização dos serviços da Google Maps. Para além disso, toda a aplicação é suportada numa abordagem Model-View-Control (MVC). Para conseguir representar as instalações desportivas num mapa, criámos uma base de dados MySQL, com dados de longitude e latitude, de cada instalação desportiva. Através de JavaScript criou-se o mapa propriamente dito, indicando o tipo (mapa de estradas, satélite ou street view) e as respetivas opções (nível de zoom, alinhamento, controlo de interface e posicionamente, entre muitas outras opções). O passo seguinte consistiu em passar os dados para o frontend da aplicação web. Para isso, recorreu-se à integração do PHP com as livrarias externas de código JavaSrcipt, criadas especificamente para o efeito (caso da MarkerManager). A implementação destas funcionalidades permite georeferenciar todos os tipos e géneros de espaços desportivos de um concelho, região ou País. Obteve-se ainda know-how, background e massa crítica, para o desenvolvimento de novas funcionalidades. A sua utilização em dispositivos móveis é outra das possibilidades atualmente já em desenvolvimento.

Quantifying ice-shelf basal melt and ice-stream dynamics using high-resolution DEM and GPS time series

Thesis (Ph.D.)--University of Washington, 2016-06

Scaling geospatial searches in large spatial databases

Modern geographical databases, which are at the core of geographic information systems (GIS), store a rich set of aspatial attributes in addition to geographic data. Typically, aspatial information comes in textual and numeric format. Retrieving information constrained on spatial and aspatial data from geodatabases provides GIS users the ability to perform more interesting spatial analyses, and for applications to support composite location-aware searches; for example, in a real estate database: “Find the nearest homes for sale to my current location that have backyard and whose prices are between $50,000 and $80,000”. Efficient processing of such queries require combined indexing strategies of multiple types of data. Existing spatial query engines commonly apply a two-filter approach (spatial filter followed by nonspatial filter, or viceversa), which can incur large performance overheads. On the other hand, more recently, the amount of geolocation data has grown rapidly in databases due in part to advances in geolocation technologies (e.g., GPS-enabled smartphones) that allow users to associate location data to objects or events. The latter poses potential data ingestion challenges of large data volumes for practical GIS databases. In this dissertation, we first show how indexing spatial data with R-trees (a typical data pre-processing task) can be scaled in MapReduce—a widely-adopted parallel programming model for data intensive problems. The evaluation of our algorithms in a Hadoop cluster showed close to linear scalability in building R-tree indexes. Subsequently, we develop efficient algorithms for processing spatial queries with aspatial conditions. Novel techniques for simultaneously indexing spatial with textual and numeric data are developed to that end. Experimental evaluations with real-world, large spatial datasets measured query response times within the sub-second range for most cases, and up to a few seconds for a small number of cases, which is reasonable for interactive applications. Overall, the previous results show that the MapReduce parallel model is suitable for indexing tasks in spatial databases, and the adequate combination of spatial and aspatial attribute indexes can attain acceptable response times for interactive spatial queries with constraints on aspatial data.