A nuclear waste stream is the complete flow of waste material from origin to treatment facility to final disposal. The objective of this study was to design and develop a Geographic Information Systems (GIS) module using Google Application Programming Interface (API) for better visualization of nuclear waste streams that will identify and display various nuclear waste stream parameters. A proper display of parameters would enable managers at Department of Energy waste sites to visualize information for proper planning of waste transport. The study also developed an algorithm using quadratic Bézier curve to make the map more understandable and usable. Microsoft Visual Studio 2012 and Microsoft SQL Server 2012 were used for the implementation of the project. The study has shown that the combination of several technologies can successfully provide dynamic mapping functionality. Future work should explore various Google Maps API functionalities to further enhance the visualization of nuclear waste streams.

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 step of Master's thesis was to gain knowledge about technologies Adobe Flex SDK and Google Maps API. Knowledge was used to develop an application, which let users create, generate and modify graphical wireless network model. Position and characteristics of each single unit are monitored either in a map interface or in building plans. Dates are gathered from forms filled by current user, from external file or periodically from connected database system. Theoretical part enlightens technologies that were used. It describes program development and solutions, which were made, along with examples of the source code. Included are printscreens of graphical user interface as well as description of how does it all work.

The aim of this master's thesis is design and implementation of traffic information system called Traffic Info. Its role is to provide actual traffic information (for example car accidents, traffic restrictions, reconstruction works on routes etc.) in the area of Slovak and Czech Republic. The system Traffic Info contains a web portal with database of traffic information and a client mobile application for Android platform. This solution provides access to actual traffic information in real time. The geolocation data from internal GPS module of mobile device is used to specify the exact relevant location of traffic information. The traffic information is visually presented on the google maps according to obtained GPS data. Informational value of the system is built by the users of this service, who actively take part in adding traffic information to the system through mobile application or alternatively using the web portal.

This master's thesis describes process of design and development of a mobile system for travelling support. Application named TravelHelper is developed for Android operating system therefore is implemented in Java programing language. In thesis's text is described used platform and its primary construction blocks. Main function of application is a journeys' diary, which allows storing activities of a trips. Application also allows backing up and sharing journeys on a social networks. Other functions of the application are searching for interesting places nearby, manager of travel expenses, translator, currency converter, and a packing list.

This thesis deals with notification between smart phone and application server which controls intelligent home. It is focused on Android mobile platform and it is implemented for that platform. Notification service Google Cloud Messaging is used because it is not possible to directly address mobile phones from server. Based on actual position and user defined area the server is informed about moving to or from the area. The server can perform defined event automatically with these information. Implementation was tested in real system. Alpha and beta versions were regularly published.

Varje år försvinner tusentals personer. År 2017 anmäldes 7100 personer som försvunna i Sverige. De allra flesta återfinns inom sex månader, men i genomsnitt 30 personer återfinns aldrig. Svensk polis deltar i sökningar efter minst 300 personer varje år. Polisen samarbetar i sina sökinsatser med försvarsmakten och andra organisationer som Missing People. Missing People som har över 60 000 personer anmälda som volontära sökare, hjälper till genom, bland annat, anordna skallgångskedjor. I detta examensarbete, undersöks verktyg och tekniker som skulle kunna komma till användning vid sökinsatser. Examensarbetet undersöker verktyg som finns tillgängliga i Google Maps API1 för att se hur det går att visualisera hur ett område är sökt och hur länge sedan det genomsöktes. Tre visualiseringstekniker från Google Maps API implementeras och testas för ändamålet. Teknikerna är Heatmaps, Polygons och Circles. Varje teknik implementeras och testas mot ett antal identifierade krav i en iteration. Kraven är framtagna genom att analysera frågeställningen mot de relaterade arbeten, webbplatser och artiklar som detta examensarbete byggt sin bakgrund på. Slutsatsen visar att Heatmaps från Google Maps API inte fyller den önskade funktionen. Om heatmaps ska användas kan ett annat kartverktyg än google maps behöva användas eftersom Google Maps Heatmaps-verktyg inte går att ställa så att de passar kraven som satts upp. Polygons misslyckas på ett av testerna, vilket kan gå att lösa med en algoritm för att förstora polygonen. Circles fungerar efter kraven och kan användas på önskvärt vis. Det krävs dock mer forskning för att vidareutveckla hur verktyget hade kunnat användas i ett skarpt läge.

Det samlas in olika typer av data hela tiden, komplex data är svårt för människor att tolka och förstå i dess råa form. För att göra det lättare för människor använder man olika datavisualiseringsverktyg som gör det lättare att sammanfatta data. Det finns många olika typer av visualiseringar som till exempel diagram, tabeller, bilder och kartor såsom en Heatmap. En heatmap används för att visa geospatial data, då den använder koordinater kombinerat med en karta som visar aktiviteterna genom olika färger. Ett problem som uppstår när komplex data används är att utritningstiden brukar vara långsam, detta leder till att användarupplevelsen försämras. I detta arbete ska två tekniker jämföras för att ta reda på vilken teknik som kan visualisera miljödata i form av heatmap på snabbaste tid med kartlagret Google Maps, med data som kommer ifrån ICES Oceanographic databas som klassificeras som miljödata. Tekniken som ska jämföras är Canvas som representeras av JavaScript biblioteket Heatmap.js och SVG som representeras av JavaScript biblioteket D3.js För att utföra denna studie användes ett tekniskt experiment som vald vetenskaplig metod. Resultatet av studien blev att Heatmap.js presterade bättre än vad D3.js gjorde.

Open innovation has been rising in popularity as an alternative to traditional model for organizations to enhance innovation in their products or services. In the past, the innovation processes was time-consuming and costly. It has now become significantly efficient and effective, supported by the advancement of today’s IT such as Internet, Cloud Computing and Big Data. Open innovation has changed the aspect of the innovation source; from closed internal R&D to fully utilization of consumers’ collaboration. Decision to shift towards open innovation strategy has been lying on several areas including motivation, financial direction, and preference of the innovation strategies and business models that fitting the organizational core strategy. This research studied the relation of these areas and its effect; it determined the way IT-organization creates and captures value that were done by opening its product platform. This thesis was conducted to analyze the open innovation approach in an open digital navigation platform, featuring two platforms as case study: Google Maps and OpenStreetMap. The investigation emphasized the utilizing of the open innovation strategy to build its platform where crowdsourcing and open source software as objects highlighted in the research. The data was collected from secondary sources. Research findings suggested that crowdsourcing and open source software strategy are the main strategies of open innovation implemented in IT digital mapping platform to create and capture value. While these strategies have been practiced in both platforms, circumstances (motivation, financial direction, and business strategy) that hovering around the internal aspect of organizations affected the application of those strategies. The implementation results are differ according to preferred business model. The result of this research suggested that a non-profit based organization tends to utilize open innovation to improve the value of their product through consumer collaboration, while a profit based organization adopts open innovation to generate additional pool of revenue through customers’ feedback and input data. The open innovation leads to creation of a new business model as the foundation of innovation.

The purpose of the project is to create a website where Knowit Experience can present and invite people to their coding events. The work has been carried out by a larger team including project managers, UX designers, supervisors, and an Agile approach has been used. A Headless CMS called Hygraph has been used to create a structure that editors can easily use, and this CMS includes a GraphQL API that the website consumes. The website is created in React with TypeScript to create a secure typed application styled with Sass. The website handles registrations for newsletters and different event lists from users and displays the content of the editors. Several different user flows on the website have been automated using Pipedream to make it easier for editors, including automatic confirmation emails sent to those who register, and editors can easily send emails to specific mailing lists. Structure is also created in the CMS to allow editors to create dynamic forms to collect opinions and information from visitors at an event. The website has been developed with accessibility in mind and has been tested on different browsers and devices. The website is continuously tested for accessibility and correctly validated code throughout the work. The work results in a fully functional website with all intended features. / Projektets syfte är att skapa en webbplats där Knowit Experience kan presentera och bjuda in till deras event Kodkvällar. Arbetet har utförts i ett större team med projektledare, UX-designers samt handledare och arbetssättet har vart Agilt. Ett Headless CMS, Hygraph, har använts för att skapa en struktur som redaktörer enkelt kan använda och med detta CMS ingår ett GraphQL API som webbplatsen konsumerar. Webbplatsen skapas i React med TypeScript för att skapa en säker typad applikation som stylas med Sass. Webbplatsen hanterar anmälningar till nyhetsbrev och olika eventlistor från användare samt visar redaktörernas innehåll. Med Pipedream har flera olika användarflöden på webbplatsen automatiserats för att underlätta för redaktörerna. Bland annat skickas bekräftelsemail automatiskt till de som anmäler sig samt att redaktörer enkelt kan skicka ut mail till specifika maillistor. Struktur skapas även i CMSet för att redaktörer ska kunna skapa dynamiska formulär för att inhämta åsikter och information från besökarna på ett event. Webbplatsen har utvecklats med tillgänglighet i åtanke och den har testats i olika webbläsare samt på olika enheter. Webbplatsen testas kontinuerligt för tillgänglighet samt korrekt validerande kod genom hela arbetet. Arbetet resulterar i en fullt fungerande webbplats med alla tänkta funktioner.