Soluções computacionais desenvolvidas para dispositivos móveis são cada vez mais comuns. A popularização de aplicativos móveis possibilitou o desenvolvimento de soluções para diversas áreas de grande potencial, como a área da saúde, entre ela a Terapia Ocupacional. Entre essas soluções, trabalhos apresentaram diversos métodos computacionais para o apoio a Terapia do Espelho. A terapia do espelho é um método que consiste na execução de exercícios com um membro saudável refletido em um espelho de modo que a visualização auxilie na redução da dor e na reabilitação do membro afetado. Essa terapia tem apresentado resultados, entre outros, na reabilitação para indivíduos que reportam dor do membro fantasma ou em recuperação pós-Acidente Vascular Cerebral (AVC). A literatura apresenta soluções computacionais para, entre outros, permitir a visualização do membro saudável a partir de tecnologias de realidade aumentada e de dispositivos vestíveis. Essas soluções muitas vezes são de difícil acesso e economicamente inviáveis. Um trabalho anterior, realizado em colaboração com equipe multidisciplinar, resultou na definição de um modelo de acompanhamento remoto que emprega dispositivos móveis para permitir o monitoramento de pacientes em tratamento por meio da terapia do espelho. Uma das limitações encontradas naquele trabalho foi o fato do terapeuta não conseguir acompanhar de maneira automática se o paciente está executando a terapia de maneira correta. Explorando essas contribuições e limitações, este trabalho teve como objetivo propor um modelo que permita o acompanhamento remoto da terapia do espelho com apoio de recursos de realidade aumentada. Como apoio computacional ao modelo, foi desenvolvida a aplicação para smartphones TEIRA (Terapia do Espelho Interativa com Realidade Aumentada) que, utilizada em conjunto com a tecnologia Google Cardboard, permite a execução da terapia do espelho com realidade aumentada. Além disso, com a integração do sistema TEIRA com o sistema de planejamento de intervenções ESPIM (Experience Sampling and Programmed Intervention Method), foi possível proporcionar um método de acompanhamento remoto com coleta de dados e vídeo. Consulta a especialistas indica que a solução apresenta benefícios potenciais para o monitoramento do paciente durante o acompanhamento remoto, que ajudem o paciente a executar a terapia de maneira correta. / Computational solutions developed for mobile devices are increasingly common. The popularization of mobile applications enabled the development of solutions for several areas of great potential, such as the health area, including Occupational Therapy. Among these solutions, papers presented several computational methods to support Mirror Therapy. Mirror therapy is a method that involves performing exercises with a healthy limb reflected in a mirror so that visualization helps in reducing pain and in rehabilitating the affected limb. This therapy has shown results, among others, in rehabilitation for individuals who report phantom limb pain or in post-stroke recovery. The literature presents computational solutions to, among others, allow visualization of the healthy limb from technologies of augmented reality and wearable devices. These solutions are often difficult to access and economically unfeasible. Previous work, conducted in collaboration with a multidisciplinary team, resulted in the definition of a remote monitoring model that uses mobile devices to allow the monitoring of patients being treated by means of mirror therapy. One of the limitations found in this work was that the therapist was unable to automatically follow up if the patient was performing the therapy correctly. Exploring these contributions and limitations, this work aimed to propose a model that allows remote monitoring of mirror therapy with the support of augmented reality resources. As a computational support to the model, the application was developed for TEIRA (Interactive Mirror Therapy with Augmented Reality) which, used in conjunction with the Google Cardboard technology, allows the execution of mirror therapy with reality increased. In addition, with the integration of the TEIRA system with the ESPIM (Experience Sampling and Programmed Intervention Method) intervention system, it was possible to provide a remote monitoring method with data and video collection. Expert consultation indicates that the solution has potential benefits for patient monitoring during remote monitoring, which will help the patient perform the therapy correctly.

Användning av molntjänster har gjort forensiska undersökningar mer komplicerade. Däremot finns det goda förutsättningar om molnleverantörerna skapar tjänster för att få ut all information. Det skulle göra det enklare och mer tillförlitligt. Informationen som ska tas ut från molntjänsterna är svår att få ut på ett korrekt sätt. Undersökningen görs inte på en skrivskyddad kopia, utan i en miljö som riskerar att förändras. Det är då möjligt att ändringar görs under tiden datan hämtas ut, vilket inte alltid syns. Det går heller inte att jämföra skillnaderna genom att ta hashsummor på filerna som görs vid forensiska undersökningar av datorer. Därför är det viktigt att dokumentera hur informationen har tagits ut, helst genom att filma datorskärmen under tiden informationen tas ut. Informationen finns sparad på flera platser då molntjänsterna Office 365 och Google Apps används, både i molnet och på den eller de datorer som har använts för att ansluta till molntjänsten. Webbläsare sparar mycket information om vad som har gjorts. Därför är det viktigt att det går att ta reda på vilka datorer som har använts för att ansluta sig till molntjänsten, vilket idag inte möjligt. Om det är möjligt att undersöka de datorer som använts kan bevis som inte finns kvar i molnet hittas. Det bästa ur forensisk synvinkel skulle vara om leverantörerna av molntjänster erbjöd en tjänst som hämtar ut all data som rör en användare, inklusive alla relevanta loggar. Då skulle det ske på ett mycket säkrare sätt, då det inte skulle gå att ändra informationen under tiden den hämtas ut. / The usage of cloud services has made forensics investigations more complicated. But there are good foundations if the cloud service providers would create services to retrieve all the information. It would make the process easier and more reliable. The most difficult part to do correctly is to download the information from the cloud services. The investigation is done in a volatile environment and not on a secured copy. It is possible that changes are made during the time the data is retrieved, which is not always visible. It is not possible to compare the differences in files with hash values, in the same way as forensic investigations of computers. That is why it is very important to document how the information is retrieved, preferably by recording the computer screen during the time the information is retrieved. The information is saved on multiple locations when the cloud services Office 365 and Google Apps are used, both in the cloud and on the computer that is being used to access the cloud. The web browser saves a lot of information of what has been done. That is why it is important to find out which computer has been used to connect to the cloud service, which is not possible today. If it would be possible to examine all the computer that have been used, evidence that is no longer in the cloud could be found, The best through a forensic angle would be if the cloud service providers offered to retrieve all data which involves a user, including all relevant logs. Then it would be possible to retrieve the data with a secure method, because it would not be possible to change the information during the retrieval.

Assembling components in a production line could potentially be a tedious task, if performed stepwise by the book. However, an employee who is assembling many different products may not know all the steps by heart. As such they will be reliant on an instruction manual. However, an instruction manual must be carried around and, while assembling components, placed in the assembler's line of sight. Instead new technology could make the process more efficient. Google Glass places a display slightly above the user's line of sight and can be controlled via voice commands, and as such solves many of the problems associated with carrying around instruction manuals. This dissertation is an evaluation of Google Glass and describes the design, implementation and evaluation of an product assembly application for both Google Glass and smartphones. The smartphone version was implemented in order to provide a reference point as well as means of comparison with the Google Glass application. The test application used in the study was to read a QR code and download a set of assembly instructions. Testing was carried out on the different steps of the application, from when the QR code had been scanned until the information was displayed to the user. The results show that Google Glass is almost always slower, in all steps, compared to the smartphone equivalents. The conclusion is that Google must upgrade and improve on Google Glass and in particular the hardware. Google Glass overheats easily and the camera is of inferior quality. Google's implementation restrictions also limits what developers might be able to do with the device. However, Google Glass is easy to use and has potential to become a more useful device in the future. / Montering av komponenter i en produktionslinje kan potentiellt vara en tradig och mekanisk uppgift, om det utförs stegvis enligt instruktioner. En anställd som bygger många olika produkter kan dock eventuellt inte samtliga steg utantill, utan blir beroende av en bruksanvisning. En bruksanvisning måste dock bäras runt och, vid montering av komponenter, lämnad i monterarens siktlinje. Ny teknik skulle kunna göra processen mer effektiv. Google Glass heter den enhet som placerar en display något över användarens siktlinje och kan styras via röstkommandon, och löser således många av de problem som är förknippade med att bära runt en bruksanvisning. Denna uppsats är en utvärdering av Google Glass och beskriver utformning, implementering och utvärdering av en produktsammansättningsapplikation för både Google Glass och smarttelefoner. Smarttelefon-versionen implementerades i syfte att ge en referenspunkt samt medel för jämförelse med Google Glass applikationen. Test-applikationen som används i studien kan skanna en QR-kod och ladda ner en uppsättning monteringsanvisningar. Testning utfördes på de olika stegen i applikationen, från när QR-koden har skannats tills informationen visas för användaren. Resultaten visar att Google Glass nästan alltid är långsammare, i alla steg, jämfört med smarttelefon-ekvivalenter. Slutsatsen är att Google måste uppgradera och förbättra Google Glass, och särskilt hårdvaran. Google Glass överhettas lätt och kameran är av sämre kvalitet. Googles implementationsbegränsningar begränsar också vad utvecklarna skulle kunna göra med enheten. Google Glass är dock lätt att använda och har potential att bli en mer användbar enhet i framtiden.

本篇目的---對於精實企業來說資訊預測的能力扮演舉足輕重的角色，如汽車製造商須要有可靠的資訊來完成各項重要的決策以保持企業競爭力，市場以及消費者的活動提供了新型態的資料可以透過現代科技來處理分，本篇論文希望從2008年至2016年整合的Google 搜尋趨勢資料來建構預測模型。 設計/方法論/方法---基於五階段消費者購買行為，此研究檢視整個過程中合適的Google關鍵字，並利用滯後變數模型和Google搜尋趨勢來驗證銷售和各種經濟變數之間的關係，預測的銷售會更進一步檢視其正確性。 結論與發現---用來檢視預測正確性的兩種最常見的方法指出Google搜尋趨勢可以作為有效的銷售預測依據，研究發現總體經濟變數和時間序列在預測上相較於Google搜尋趨勢在短期相對有效性小。 研究貢獻---僅有少許在汽車銷量預測上的研究將Google搜尋趨勢和合適的時間滯留列入考量，本篇研究提供消費者行為和銷售資料關係的新視角。 / Purpose – The role of forecasting in a lean enterprise is immense. It is crucial for car manufacturers to have reliable information about the future to make important decisions and stay competitive. Developing markets and consumers provide new types of data that demand modern approaches to be handled. This paper aims to create reliable forecasting models through integration of Google Trends data from 2008 to 2016. Design/methodology/approach – Building on the 5-stage-model of consumer buying behavior, the study identifies suitable Google keywords for this process. Autoregressive distributed lag models are used to examine the relationship between sales and macro-economic variables as well as Google Trends. Predicted sales are used to test for accuracy. Findings – Two most common evaluation measurements for forecasting accuracy suggest the use of Google Trends, as predictors for future sales, is outstanding. The finding concludes that macro-economic variables and seasonality are not as valuable as Google Trends in short-term, up to one year, forecasting. Value – Only little research on car sales forecasting takes Google Trends and their appropriate time lags into account. This analysis provides new insights into the linkage of consumer behavior and sales data.

This master thesis deals with the topic of browser extensions, their environment and analysis. The goal is to describe the extensions environment, online Webstores, that offers extensions and to show best practices for analysis and optimization of its extensions and their assets. Within the thesis you can find very precise analysis of online Webstores for Google Chrome extensions and Mozilla Firefox add-ons. Conclusions are made based on this analysis that include special characteristics of the previously mentioned browsers. The master thesis consists of two parts, theoretical and practical. The theoretical parts deals with the description of the browser extensions environment and it presents specific characteristics about online Webstores and browser extensions to the reader. In the practical part the thesis is focused on objectives set by the thesis and it presents the results of the Webstore analysis and description of the universal Google Analytics solution that helps developers to analyze their extensions The thesis contributes to the topic mainly with the precise description of the browser Webstores and extensions environment, best practices and recommendations and by creating the universal Google Analytics solutions for the developers.

The main goal of this work is to implement a system, which will be able to optimize routes between warehouses and selected customers and visualize them using maps by the Google Inc. This problem is being analyzed not only on the theoretical, but also, and mainly, on the practical aspects and tries to find a gap in the market with similar applications.

The first part of this thesis, Monitoring website progress after the implementation of a language mutation, focuses on the theoretical foundations of web analytics (history of web analytics, data collection methods, basic metrics) and Internet marketing (importance of Internet marketing and its distribution, Pay Per Click advertising). An analytical tool Google Analytics is also presented in this part. The analytical and application part contains a presentation of Segway-Point company and its website. On this website the progress (sessions, bounce rate, users flow, conversions, etc.) before and after the implementation of a language mutation was monitored and the ads settings using Google AdWords was set up accordingly. The result is the evaluation of hypotheses and a list of advices and recommendations for Segway-Point company.

The thesis deals with web analytics of content based websites. Its primary aim is to design metrics of a web analysis and range of the metrics. This allows a proprietor of the content based websites to evaluate the state of the web and also its changes. The following is a practical example of handling website metrics and how to evaluate a web redesign with the help of these metrics. The first and second chapter lists literature of web analysis and specifies a purpose of the thesis and its target group. In the paragraphs that follow, I explain the theoretical starting-points and major concepts in further detail. In the third chapter I describe the main targets of content based websites because con-sequently defined metrics should reflect these targets and aim for them. Then I underline some specific problems of content based websites analysis. The fifth chapter forms the crux of this work. First, I define right metrics and then present the very design of metrics for analysis of content based websites. The proposed metrics describe interpretation of values, possibilities of segmentation and also relation to other metrics. In the fifth chapter there is an example of some metrics applied to real data of two content based websites with a description of how to work with these metrics.

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.

Este trabalho apresenta uma plataforma para coleta e análise de imagens urbanas, que integra Interfaces de Programação de Aplicativos \"Application Programming Interfaces\" (APIs) de sistemas de busca de imagens, Sistemas de Informações Geográficas (SIGs), mapas digitais e técnicas de visão computacional. Esta plataforma, INACITY, permite que usuários selecionem regiões de interesse e capturem elementos de relevância para a arquitetura urbana, como, por exemplo árvores e buracos em ruas. A implementação da plataforma foi feita de maneira a permitir que novos módulos possam ser facilmente incluídos ou substituídos possibilitando a introdução de outras APIs de mapas, SIGs e filtros de Visão Computacional. Foram realizados experimentos com as imagens obtidas através do \"Google Street View\" onde árvores são capturadas em áreas de bairros inteiros em questão de minutos, um ganho significativo quando comparado com o procedimento manual para levantamento deste tipo de dado. Além disso, também são apresentados resultados comparativos entre os métodos de visão computacional propostos para a detecção de árvores em imagens com outros métodos heurísticos, em um conjunto onde as árvores estão marcadas manualmente e assim as taxas de precisão e de redescoberta de cada algoritmo podem ser avaliadas e comparadas. / This project presents a platform that integrates Application Programming Interfaces (APIs), image retrieval systems, Geographical Information Systems (GISes), digital maps and Computer Vision techniques to collect and analyse urban images. The platform, INACITY (an acronym for INvestigate and Analyse a City), empowers users allowing them to select a region over a map and see urban features inside that region that have relevance to the urban architecture context, for instance trees. The implementation is extensible and it is designed to make it easy to add or replace new modules, for instance, to add a new API to present a map, different GISes and other Computer Vision filters.