Målet med detta projekt var att utveckla en applikation för Android för lagring av tillagade matlådor. Utifrån beräknad hållbarhetstid för matlådan skulle en notifikation ges innan matlådan blev dålig. Då idén byggde på att hållbarhetstider skulle beräknas utifrån ingående ingredienser så kunde projektet inte färdigställas när det visade sig att detta inte var ett genomförbart sätt att beräkna hållbarhetstid. En till stora delar fungerande applikation utifrån grundidén har ändå skapats.

Detta examensarbete är utfört på uppdrag av IT-kontoret och Mawik AB. Uppdraget går ut på att förbättra ett befintligt system åt ett företag som tömmer slambrunnar. Systemet detta arbete går ut på att förbättra är en mobilapplikation med operativsystemet Android, där huvudsyftet är att öka applikationens användbarhet och säkerhet. Resultatet blir i slutändan en färdig Androidapplikation som går att använda för slamtömningsföretaget. De slutsatser arbetet ger är att användbarheten går att öka markant, samt att användarfelen i applikationen går att minska.

Patients with lower limbs problems are an increasing population in the US and many of them require surgery and its subsequent post-op Physical Therapy (PT). For all these patients, tracking their progress and evolution towards full recovery is very important. To assess the patients and track their progress, patients are usually required to perform very specific tests administered by a physical therapist. These tests either require very expensive equipment or rather require the subjective experience of the physical therapist who administer them. One of these tests is the Functional Gait Assessment (FGA) test, perhaps the most widely adopted one for gait assessment. This thesis presents a system for Clinical Gait Assessment using exclusively the sensors embedded in today’s smartphones. The system processes the raw sensor data to perform the FGA test and calculate additional metrics, capable of identifying problems in the human gait. The system is therefore objective, as it is based on measurements; cheap, as it only requires a smartphone; mobile, as it can be used pretty much anywhere; and self-care, as it does not need the presence of a physical therapist. The system was designed and tested on the Android OS with the phone attached to the back of the user using a belt or elastic band. It includes a new step detection algorithm with a mean absolute error of ±1 and algorithms to detect the deviation from a straight path with an accuracy of 90%, 80%, 35%, and 30% for each of the required deviation levels of the FGA test. Additionally, the system includes autocorrelation and DTW metrics, which provide additional information to detect different impediments of the user gait.

While WiFi-based indoor localization is attractive, the need for a significant degree of pre-deployment effort is a key challenge. In this paper, indoor localization with no pre-deployment effort in an indoor space, such as an office building corridor, with WiFi coverage but no apriori knowledge of the placement of the access points(APs) is implemented for mobile devices. WiFi Received Signal Strength(RSS) in the considered environment is used to build radio maps using WiFi fingerprinting approach. Two architectures are developed based on this localization algorithm. The first one involves a client-server approach where the localization algorithm runs on the server whereas the second one is a standalone architecture and the algorithm runs on the SD card of the mobile device.

The thesis focus on conversion existing desktop Java application into mobile version for Android platform. The key part of the thesis is the sample application (Java app for teaching basics of OOP in Java), that is being converted step-by-step from Java to Android. During the migration process, significant differences are being identified, described and solved.

This diploma thesis is focused on proposal and actual creation of mobile application to support in-house processes, especially for improving ordering and delivery processes inside of small company. Thesis includes analysis of current state of processes and analysis of client’s requirements. Based on those requirements, mobile application is created, built with Ionic and Angular framework.

This master thesis is focused on an implementation of application for Android operating system that demonstrates mobile application vulnerabilities. Theoretical part contains security of mobile applications and its current state including a description of the biggest security risks and vulnerabilities. In addition, general development of mobile applications for Android is mentioned. In a practical part of the thesis a custom design of the application is described including vulnerabilities analysis, design of basic application blocks and selection of suitable tools for implementation. The section describing the implementation of the application describes the preparation of the environment, the structure of the created application and especially its implementation. The last part contains an example of implemented application vulnerabilities and also the result of its testing.

Instant messaging applications noted significant grow especially in the last decade. In fact, the Internet communication is cheap and convenient way how to communicate with distant people. However, this grow of user communication and data exchange through the online world impacts user security and privacy, as it was also shown recently by WhatsApp privacy issues. Firstly this article evaluates security and privacy issues of current mobile messaging applications. Secondly, we design our basic open source solution with the focus on security, privacy, and user centric features. Furthermore, we provide proof-of-concept implementation of our system

This thesis describes operating system Android and its security aspects. Furthermore, the thesis will focus on the forensics analysis of this operating system. The aim is to create forensics application which allows to get sensitive data as well as to make forensic analysis using established tools, and to create background materials for teaching.

This master's thesis deals with creating OpenStreetMap terrain mapping mobile application. The introduction describes project OpenStreetMap and the methods of collecting data. After that mobile platforms specifics are described. Android and OSMTracker are introduced in the next part of this work. Analysis is followed by description of implementation of OSMTracker extension.