Submitted by Nadir Basilio (nadirsb@uninove.br) on 2017-08-04T21:26:50Z No. of bitstreams: 1 Renato Alessandro Rocha Santos.PDF: 5054326 bytes, checksum: 739f1115bab9b157f48eb56ca44d4c34 (MD5) / Made available in DSpace on 2017-08-04T21:26:50Z (GMT). No. of bitstreams: 1 Renato Alessandro Rocha Santos.PDF: 5054326 bytes, checksum: 739f1115bab9b157f48eb56ca44d4c34 (MD5) Previous issue date: 2017-03-02 / Over the last decades the Vehicle Routing Problem (VRP) has been subject of research of several authors, mainly because of difficulties found in its optimization as well as its application in real-world situations. In the scientific literature there are several proposed solutions for the PRV using different optimization techniques. However, such solutions are rarely transformed into software tools that can be used by end users, for example, micro enterprises. Thus, the focus of the present work was to develop a Web computational tool for vehicle routing, called “SGRV  Sistema de Gestão de Roteamento de Veículos”, which uses Google Maps features and aims to meet the needs of micro enterprises. Therefore, initially it was conducted a literature search about solution methods for VRP, to support the choice of strategy based on genetic algorithms employed in SGRV. Then, a new bibliographic research was made with the purpose of finding free softwares for the VRP solution, which were object of analysis to mark out the development of the SGRV. For the development of this research was used the methodology Design Science Research. A qualitative evaluation of the SGRV was carried out by four microenterprises from different branches, that used the tool for a certain period and, in the end, answered six questions opened from semi-structured interviews. The experiences of these microenterprises were transcribed and the data obtained reveal the effectiveness of the SGRV in the management of its tasks related to the orders and deliveries of products. / Nas últimas décadas o Problema de Roteamento de Veículos (PRV) tem sido temática de pesquisas de diversos autores, principalmente por causa de dificuldades encontradas para sua resolução, bem como sua aplicabilidade em situações reais do cotidiano. Na literatura científica há diversas propostas de soluções para o PRV empregando diferentes técnicas de otimização. No entanto, tais soluções raramente são transformadas em ferramentas computacionais que possam ser utilizadas por usuários finais como, por exemplo, as microempresas. Assim, o foco do presente trabalho foi desenvolver uma ferramenta computacional Web para roteamento de veículos, denominada SGRV  Sistema de Gestão de Roteamento de Veículos, que emprega recursos do Google Maps e visa suprir as necessidades de microempresas. Para tanto, inicialmente realizou-se uma pesquisa bibliográfica acerca de métodos de solução para o PRV, a fim de subsidiar a escolha de uma estratégia baseada em Algoritmos Genéticos empregada no SGRV. Em seguida, foi feito um novo levantamento bibliográfico com intuito de encontrar softwares de uso livre para a solução do PRV, os quais foram objeto de uma análise que visou balizar a implementação do SGRV. Para o desenvolvimento dessa pesquisa foi empregada a metodologia Design Science Research. Uma avaliação qualitativa do SGRV foi realizada por quatro microempresas de diferentes ramos, as quais utilizaram a ferramenta por um determinado período e, ao final, responderam seis questões abertas a partir de entrevistas semiestruturadas. As experiências dessas microempresas foram transcritas e os dados obtidos revelam a efetividade do SGRV no gerenciamento de suas tarefas relacionadas aos pedidos e entregas de produtos.

The 711-acre Mueller development is located just three miles northeast of downtown on the former site of the Robert Mueller Municipal Airport. Planned as one of Austin’s major transit-oriented New Urbanist developments, Mueller contains a pattern of pedestrian and bike friendly streets to encourage a range of transportation options for residents and visitors. Mueller is 30% complete and provides housing and jobs to over 3000 residents and 3000 employees. This professional report seeks to understand how current residents, employees, and visitors use the bike lanes, sidewalks, and roads in the Mueller community. To evaluate the transportation infrastructure, the author designed and coded a custom Google Maps survey that asked residents to draw common routes, points of interest, and points of concern related to their transportation choices. Field observations were conducted to verify and triangulate the information reported in the online survey. This study investigates whether the transportation principles for the development are or are not achieved by comparing the expressed principles of the development with the actual behavior reported and exhibited by frequent users. / text

Šio darbo tikslas – sukurti efektyvius įvykių atpažinimo filtrus duomenims, gautiems pasitelkiant pagreičių matavimo prietaisus mobiliosiose technologijose. Atlikus sukurtų filtrų nuodugnius tyrimus įvertinti, kurie iš filtrų įvykius atpažįsta efektyviausiai. Neuroninių tinklų pagalba išskirti duobę ir greičio ribojimo kalnelį iš bendro įvykių srauto. Sukurtą prototipą realizuoti praktiškai ir išsamiai atvaizduoti gaunamus rezultatus. Taip pat susipažinti su kitų autorių sukurtais atpažinimo modeliais bei sistemomis, palyginti jų sukurtų algoritmų bei šio darbo atpažinimo rezultatus, praktiškai realizuoti išnagrinėtą modelį. Užfiksuotoms eismo įvykių koordinatėms pritaikyti tinkamiausią duomenų grupavimo algoritmą ir išsamiai atvaizduoti gautus rezultatus. / The aim of this work was to analyze the data which was gotten from accelerometer mounted in mobile device during the test drives through the city together with GPS (Global Positioning System) coordinates, to detect and report the surface conditions of roads as well as to find the way, how it could be represented in the map. The research was started by analyzing oscillation data from accelerometer. We had to keep in mind that there can be road bumps, pit holes, speed bumps and other road anomalies, car can accelerate quickly and break sharply or even crash into something, what would cause a sudden stop. In order to recognize events, different detection filters were applied on data. In addition to this, neuron network was used to recognize pit holes and speed bumps from all event flow. The results of event detection algorithms were compared with other scientist’s works. In order to represent results clearly, database was created holding coordinates of the road events and other information like time, etc. The results were represented using an application programming interface made-up by Google, which was really suitable solution in our case. The whole system was programmed using Java servlets, which allowed to gather data from database using SQL (Structured Query Language) queries. While trying to represent accelerometer data, we faced difficulties in representing these road events on the map, as GPS each time returned answer with small variation of coordinates. In this case, we... [to full text]

This thesis explores aspects of map censorship in Google China through a theoretical framework based on Foucault’s power/knowledge. Comparing results of content analysis of maps in Google Ditu in Google China and Google Maps in Google Dot Com, the thesis analyzes the degree of censorship of maps in the Google geoweb. My findings are a higher density of labeling in Google Ditu in comparison with Google Maps, the absence of VGI in Google Ditu, the limitation of zoom level at Google Ditu, and the absence of Street View in China. This thesis suggests possible explanations to differences in map information between Google Ditu and Google Maps.

With technology continuing to advance, a lot of everyday tasks are becoming easier to perform and less physically demanding. However, as a result of this, peoples lives are also becoming more sedentary. There is a need for motivating people to be more active. The project's solution to this problem was to develop a mobile game application which made use of Augmented Reality (AR) technology together with GPS to be able to set the outdoor world as the playing field. Along with using the science of gamification, we strove to create a gameplay that encourages players to continue to play. The resulting game makes the player move outdoors to be able to progress within the game. This feature of the game counteracts sedentary behavior. The results suggest that the use of gamification is an important aspect of making a game that players find fun and motivating. The AR technology was less important and needs more functions than just being able to view 3D-models. / Med fortsatta avancemang inom teknologi, blir vardagliga uppgifter lättare att utföra och mindre fysiskt ansträngande. Dock som ett resultat av detta blir människors vardag mer stillasittande. Det finns ett behov av att motivera människor till att bli mer aktiva. Projektets lösning till detta problem var att utveckla ett spel till mobiltelefoner som använde sig av Augmented Reality teknologi ihop med GPS för att sätta upp världen utomhus som spelplan. Tillsammans med vetenskapen om spelifiering, strävade vi efter att skapa en spelupplevelse som uppmuntrar spelare att fortsätta att spela. Det resulterande spelet kräver att spelare rör på sig utomhus för att kunna nå framsteg inom spelet. Denna aspekt av spelet motverkar stillasittande beteende. Resultaten föreslår att användningen av spelifiering är en viktig aspekt i skapandet av ett spel som spelare finner roligt och motiverande. Användningen av AR-teknologi var mindre viktig och behöver fler funktioner än att bara kunna visa 3D-modeller.

The presented thesis deals with the subject of tracking via GPS and focuses on possibilities of the practical implementation of user tracking system with the help of mobile end user devices. The introductory theoretical part shortly describes the properties and history of the GPS navigation system. It outlines possible development of end user mobile applications on the level of operating systems and mobile web applications. The final theoretical part provides a short outline of properties of tacking systems available in the Czech market. The primary aim of the thesis was to create an application which would enable the tracking of user position via GPS. The practical part describes the selected solution as well as the individual parts of the designed tracking system. The resulting system allows to record and track user position determined by a mobile phone with an integrated GPS module. The systems also enables the creation of user groups, tracking their routes and visualization of the given position or entire route on a map.

This work deals with traveling salesman problem (TSP) and examines it’s possibilities to use in business. It is about the optimization of the travel cost, saving time and unnecessary mileage. Part of the work is a program with a GUI written in program MATLAB. Program uses neural networks to calculate the most effective path between places, where the trader has to reach. It’s possible to use the algorithm for many purposes, e.g. distribution of goods, store management, planning of PCBs or rescue services. Program communicates with the Google Maps API server, which provides the actual information of the path.

This paper explores the development and implementation of an in-browser map with the purpose of visualizing large sets of geographic data. The map is implemented into a pre-existing search engine of geographic data. Two mapping frameworks are compared in terms of performance, ease-of-use, and functionality. These frameworks are Leaflet and Google Maps. This paper also explores which issues may arise when implementing these mapping frameworks within a pre-existing ASP.NET project. These aspects were evaluated through performance tests, documentation reading, and compiling experiences gained through implementing the map within the search engine. The experiments show that both Leaflet and Google Maps are viable frameworks to use when developing in-browser maps, but also that they have their pros and cons. Google Maps sports a generally higher level of performance, and a larger set of paid available services. Leaflet is a free, open-source alternative with a large plugin repository, but relies on third-party services for features such as geocoding.

This thesis describes the process of identifying key requirements for a map-based interface for a document management software. Existing software platforms suitable for implementation of such a system were identified, evaluated and tested. The purpose of this thesis was to provide Aconex, a document management company, a recommendation for the implementation of a map-based interface to its software for its customer Bechtel. Requirements gathering was done in stages: identifying stakeholders, understanding context, defining requirements and finally creating software specifications. Suitable platforms were identified by literature study and consultation. They were selectedbased on a few critical criteria. Selected platforms were used in implementation of a prototype showcasing the platforms’ abilities to satisfy the technical requirements. It turned out that Google Maps provided the best platform for Aconex's needs. OpenLayers was a great alternative and came with the ability of using unlimited numbers of KML-layers, but at the disadvantage of requiring more code. / Denna rapport beskriver processen att identifiera krav för ett kartbaserat gränsnitt till ett dokumenthanteringssystem. Tillgängliga mjukvaruplattformar som kan användas i detta syfte har identifierats, testats och utvärderats. Målet med detta arbete var att ge råd till Aconex, ett företag som arbetar med dokumenthantering, om hur de borde implementera ett kartbaserat gränsnitt till sitt dokumenthanteringssystem för deras kund Bechtel. Kravinsamling gjordes i olika steg: hitta intressenter, definiera systemkontext, samla in krav och utveckla programvaruspecifikationer utifrån kraven. Tillgängligamjukvarulösningar hittades genom en kombination av litteraturstudier och goda råd, och blev sedan prioriterade utifrån kritiska krav. Prototyper skapades i de mest lovande plattformarna, där varje prototyp visar hur plattformen uppfyller de krav som ställts. Resultatet blev att Google Maps var den platform som fungerade bäst för Aconex. OpenLayers var också ett bra alternativ då man där kan visa obegränsat antal KML-lager, men för att OpenLayers ska klara av lika mycket som Google Maps krävs betydligt mer kod.

The awareness of power consumption is considered to be an important step of driving energy- saving technologies development. With the ‘Smart Grid’ technologies, Sweden has deployed Advanced Metering Infrastructure (AMI) nationwide. How to present and operate the data be collected by AMI devices in an effective and friendly way has become a problem worth to research on. This thesis project aims to provide an energy consumption monitoring system, which integrate power consumption information from AMI, and geographic information from coordinates, for both customers and power companies, practical for the latter one. Based on that, active web map services of Geographic Information Systems (GIS) in Swedish market are also been analyzed in this thesis report, in order to investigate the features which may be applied in this system. The energy consumption monitoring system presented in this project is developed on the GIS of Google Maps, web-browser based. With the open Google Maps API for Javascript and WAMP environment support, a working system is given locally. In this project, at a designated Swedish area, Smedjebacken, there are 50 end-users with AMI data periodically recorded at the interval level of one hour for a whole year, and 3 substations connecting part of the end-users, all of them have the coordinates to position. AMI data is used to simulate a real-time scenario to test the monitoring function. Functions of this system are separated into two aspects, customers and power companies. Customers can check their power consumption in many different ways, including latest hour’s consumption, any past single day’s consumption, generate whole year’s consumption column chart, comparing with the average consumption level with a certain range of neighbors. Power companies have global view and access authorities of all customers and substations. In addition, an alarm will be triggered if any of the substation’s power loss is over 5%. As a result of analysis, the advantage lay with Google Map on cost of developing, open API and documentations. In the end, a working monitoring system is given under the simulated real-time power consumption scenario.