Indoor navigation has always been an interesting topic to look at since there are many use of it for example in airports, huge malls and underground transport stations. One interesting application area is the underground transportation since the current navigation in the underground stations in Sweden is proven to be insufficient to guide the user from the underground station to the final destination. GPS is a prominent solution for the outdoor navigation but no prominent solution has been found for the indoor navigation. Techniques used for navigation indoors vary depending on the infrastructure of the building. Therefore, this paper looks at the different indoor navigation techniques categorized based on a smartphone's sensors and find the techniques most suitable in implementing for the existing SL underground stations. The underground station is divided into two parts, the platform and the second floor. A combination of kinematic and visual navigation techniques is efficient to implement in the platform due to the environment of the platform. Wireless navigation is suitable to implement in the second floor due to the availability of WiFi access points in the second floor of the underground station. Those findings help in setting up an efficient navigation for the SL underground stations, which help in navigating users from one point to another. / Inomhusnavigering har alltid varit ett intressant ämne att titta på, eftersom det finns stor användning av det till exempel i flygplatser, stora gallerior och tunnelbanestationer. Ett intressant tillämpningsomrade är den underjordiska transporten, eftersom den nuvarande navigeringen i tunnelbanestationerna i Sverige visar sig vara otillracklig for att navigera en resenär fran tunnelbanestationen till slutdestinationen. GPS ar en framträdande lösning för utomhusnavigeringen men ingen framstående losning har hittats för inomhusnavigeringen. Tekniker som används för navigering inomhus varierar beroende på byggnadens infrastruktur. Därfor studerar denna rapport på de olika inomhusnavigeringsteknikerna som kategoriseras baserat på en smartphones sensorer och hittar de tekniker som är mest passande för att genomföra för de befintliga SL-tunnelbanestationerna. Tunnelbanestationen är uppdelad i två delar, plattformen och andra våningen. En kombination av kinematisk och visuell navigeringsteknik är effektiv att implementera i plattformen på grund av plattformens miljö. Trådlös navigering är lamplig att genomföra i andra våningen på grund av tillgangen till WiFi-åtkomstpunkter i andra våningen av tunnelbanestationen. Det resultatet hjälper till att skapa en effektiv navigering för SL-tunnelbanestationerna, vilket hjälper till att navigera användare från en punkt till en annan.

Augmented reality is a field of technology in which the real world is overlaid with additional information from a computer generated display. Enhancements to augmented reality technology presently support limited mobility which is expected to increase in the future to provide much greater real world functionality. This work reports on a set of experiments that investigate performance in search and rescue navigating tasks using augmented reality. Augmentation consisted of a spatially and temporally registered map of a maze that was overlaid onto a real world maze. Participants were required to traverse the maze, answer spatially oriented questions in the maze, acquire a target object, and exit. Pre and post hoc questionnaires were administered. Time and accuracy data from one hundred twenty participants were collected across six treatments. The between subject treatments, which had an equal number of male and female participants, were a control condition with only a compass, a control condition with a paper map available prior to maze traversal and four experimental conditions consisting of combinations of egocentric and exocentric maps, and a continuously on and on demand map display. Data collected from each participant consisted of time to traverse the maze, percent of the maze covered, estimations of euclidian distance and direction, estimations of cardinal direction, and spatial recall. Data was also collected via pre and post hoc questionnaires. Results indicate that best performance with respect to time was in the control condition with a map. The small size of the maze could have facilitated this result through route memorization. Augmented reality can offer enhancement to performance as navigational tasks become more complex and saturate working memory. Augmented reality showed best performance in accuracy by facilitating participants' coverage of the maze. Exocentric maps generally exhibited better performance than egocentric maps. On demand displays also generally resulted in better performance than continuously on displays. Gender differences also were evident with males exhibiting better performance than females. Participants reporting an initial tendency to not rotate maps exhibited better performance than those reporting a tendency to rotate maps. Enhancements being made to augmented reality and related technologies will result in more features, improved form factor for users, and improved performance in the future. Guidelines provided in this work seek to ensure augmented reality systems continue to progress in enhancing performance

The Community Nurse Networker (CNN) pilot project represents an innovative collaboration between primary care, public health and municipal stakeholders, including a local neighbourhood resident planning team in a priority neighbourhood in Hamilton, Ontario. This pilot linked primary care to ongoing community development work. The goal of the CNN pilot was to address issues beyond physical health, and to consider issues related to the social determinants of health, or where people, live, work, and play. This developmental evaluation study used a qualitative descriptive approach (Sandelowski, 2000, 2010). Multiple perspectives and sources were used to describe the implementation of the CNN pilot, the following were collected and analyzed: Interviews (N=5), a focus group (participants = 11), documents (N=90), and a survey (N=1). The implementation of the pilot was described by the following foci: (a) conceptualization of the CNN’s roles and activities, (b) perceived barriers and enablers in implementing the CNN pilot, (c) perceived impacts of the intervention, and (d) perceptions surrounding the value of a nurse in the CNN position. The CNN pilot is a unique intervention, demonstrating how primary care can be a leader within the community, engaging with health and social services organizations and hard to reach populations. The findings of this study supported the ongoing development of the CNN position. It provided an example of a nurse-led intervention, with an integrative approach to primary care, community development, social, and health services. This study illustrates the potential for strengthened partnerships between primary care and the community within priority neighbourhoods. / Thesis / Master of Science (MSc)

Maritime navigation heaviliy relies on GNSS and related technologies for positioning and navigiation. Since these technologies are vulnerable to external threats such as signal spoofing, alternatives are needed for backup purposes. Our proposal is to use radar to construct polar amplitude gridmaps tailored for the intended route, and using a particle filter for position estimation. The proposed approach has been successfully demonstrated on data from a surface vessel in the harbor of Helsinki. / Navigation i marina miljöer är idag mycket beroende av GNSS och relaterad teknologier. Eftersom dessa GNSS teknologier är föremål för terrorism och sabotage finns behov av alternativ. I detta examenarbete föreslås att använda radar ombord på ett fartyg för att konstruera amplitudrutnätskartor av omgivningen, och därefter använda ett partikelfilter för estimering av fartygets position.Fartygets position kunde framgångsrikt estimeras med data från ett fartyg i Helsingfors hamn.

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