Dissertations / Theses on the topic 'Location-aware'
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Eckerström, Johan. "Location Aware Communication." Thesis, KTH, Mikroelektronik och Informationsteknik, IMIT, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-93110.
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Automotive telematic systems will be as common in future cars as ABS and airbags are in current cars. These systems will provide services such as navigation aid, automatic emergency alerts, traffic and road information, information about parking possibilities, tourist information, and personalized news. All these services need a communication link to the mobile Internet to be able to work properly. In this master’s thesis General Packet Radio Service, GPRS will be investigated and evaluated as a bearer for these kinds of services. A test application was built to test the location aware communication on the field. Upstream and downstream delays, possible bottlenecks in the network, connection set-up time, characteristics of different operators, and connection breakdowns where analyzed. The tests showed high network delays, and that many connection breakdowns occurred. The operators did not differ much when it comes to performance. One mayor drawback with GPRS is the low scalability with respect to operator’s lack of IP addresses, which will be discussed. Conclusions of the evaluation were that only certain location-based services are suitable over GPRS with the quality of today.
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Charvandeh, Jenny. "Location aware web access." Thesis, KTH, Kommunikationssystem, CoS, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91492.
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The user's mobile communication device has an increasing sense of where the user is. This location information may be very fine grained or very coarse. Given some amount of location information it is possible to create location aware services. This thesis presents and evaluates a system for location aware web browsing. Indoors the user can click on a point on a map (to establish a virtual location using a previously installed user application), outdoors the location can be provided by GPS, or the location might be provided by some other location system (indoors or outdoors), then each HTTP GET request for a URL will be augmented with information about the user's location or their virtual location. Subsequently a web query is created. Then the location information encoded as longitude and latitude is appended to this web query. The web server uses this location information to generate dynamically location aware web pages. Finally a web browser shows the web pages.Tillgång till information varsomhelst och vilken tid som helst är en viktig utkom av modern rörliga kommunikations systems. Alltmera har användarens terminal kännedom om användarens plats. Informationen om platsen kan vara lite eller omfattande. Tillgång till information om platsen gör det möjligt att skapa platsmedvetna tjänster. I den här master thesis presenterar och utvärderar jag ett system för plats medvetna web användning. Användaren klickar på en punkt på en karta (för att inrätta en virtuell lokalisering genom att använda tidigare installerat applikationer), sedan deras HTTP GET request för en URL utvidgas med information om användarens position eller deras virtuella (verkliga) lokalisering. En platsmedveten web query har skapats så att information om plats som latitude och longitude läggs till denna web query. Sedan en web server använder denna information för att generera dynamiska web sidor.
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Nichols, Patrick James 1981. "Location-aware active signage." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17964.
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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.Includes bibliographical references (p. 85-86).
Three-dimensional route maps, which depict a path from one location to another, can be powerful tools for visualizing and communicating directions. This thesis presents a client-server architecture for generating and displaying accurate, usable route maps between locations on MIT's campus. Two exemplary clients of this architecture--MITquest, a web based Java applet, and location-aware active signage--demonstrate the flexibility and power of this model for route generation. Additionally, we provide a framework for displaying a set of campus-wide, public events of interest to an MIT visitor, including methods for inferring events from public sources and automatically selecting events of interest.
by Patrick James Nichols, II.
M.Eng.
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Luimula, M. (Mika). "Development and evaluation of the location-aware platform:main characteristics in adaptable location-aware systems." Doctoral thesis, University of Oulu, 2010. http://urn.fi/urn:isbn:9789514261435.
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Abstract The development of mobile and ubiquitous computing has recently been rapid. One of the most promising research and development fields has been location-aware services. These services are challenging as they require a lot of resources for generating maps from spatial data and for visualizing temporary data gathered from the environment. Applying location-awareness and ubiquitous computing in the industry is currently under intensive research and development activities especially because of signs of promising new business opportunities. This thesis studies the development and evaluation of a location-aware system platform called Locawe designed for indoor and outdoor conditions. This decentralized middleware-based platform has been developed at CENTRIA Research and Development, Ylivieska. The main objectives of this research have been primarily to study and develop new ubiquitous features for the Locawe platform with various software and hardware combinations. In addition, during these studies gathered experiences have been used in order to design new versions of the Locawe architecture. These ubiquitous features, covering the use of GPS, RFID and WSAN technologies, have been tested in five field experiments, one laboratory experiment and several industrial pilots. In these evaluations, the author has considered what software and hardware alternatives are feasible and appropriate for improving the newly developed features in the Locawe platform. These features have been evaluated from usability, visualization and communication techniques perspective. As a result the author presents in this thesis main characteristics in location-aware system development from system layers, ubiquitous computing, mobility, and restrictions perspective. The author also suggests that the architeture presented in this thesis enables location-aware system development in indoor and outdoor conditions. With respect of state-of-the-art platforms, the Locawe platform is, at the moment, in some sense unique, although only as a research prototype. This platform combines two approaches, namely research on location platforms, and research on geosensor networks or smart environments. In addition, this platform gives one answer how RFID or WSAN technologies could be integrated under one framework together with mobile devices. Finally, the author also proposes that the research and development approach presented in this thesis can be applied successfully in research and development organizations specialized in applied researchTiivistelmä Mobiilin ja sulautetun tietotekniikan kehitys on ollut viime aikoina nopeaa. Yksi lupaavimmista tutkimus- ja kehityskohteista on ollut paikkatietoiset palvelut. Näiden palveluiden kehittäminen on varsin haasteellista, koska kehittämistyö vaatii runsaasti resursseja sekä karttojen generoimisessa paikkatietoaineistoista että ympäristöstä kerättävän väliaikaisen tiedon visualisoinnissa. Paikkatietoisten sovellusten ja sulautetun tietotekniikan soveltaminen teollisuudessa on aktiivisen tutkimus- ja kehittämistoiminnan keskiössä, koska näköpiirissä on selvästi uusia lupaavia liiketoimintamahdollisuuksia. Tässä väitöskirjassa keskitytään Locawe-nimisen paikkatietoisen ohjelmistoalustan kehittämisen ja arvioinnin raportointiin. Locawe-alusta on suunniteltu sekä sisä- että ulko-olosuhteisiin. Tämä hajautettu väliohjelmistopohjainen alusta on kehitetty CENTRIA Tutkimus ja kehityksen Ylivieskan yksikössä. Väitöskirjan tavoitteena on ollut ensisijaisesti tutkia ja kehittää uusia, sulautettua tietotekniikkaa hyödyntäviä ominaisuuksia Locawe-alustaan hyödyntäen erilaisia ohjelmisto- ja laitteistokombinaatioita. Väitöskirjaan liittyvän tutkimustyön aikana käyttäjiltä on useaan otteeseen kerätty käyttökokemuksia. Kokemuksia on hyödynnetty Locawe-arkkitehtuurin seuraavien versioiden suunnittelussa. Uusia, sulautettua tietotekniikkaa hyödyntäviä ominaisuuksia on testattu kaikkiaan viidessä kenttätestissä, yhdessä laboratoriotestissä sekä useissa teollisissa piloteissa. Ominaisuuksien toteuttamisessa käytettiin GPS-, RFID- ja WSAN-teknologioita. Testeissä kirjoittaja arvioi, minkälaiset ohjelmisto- ja laitteistovaihtoehdot ovat toteuttamiskelpoisimpia ja soveliaimpia uusien ominaisuuksien kehittämiseksi Locawe-alustaan. Ominaisuuksia on arvioitu käytettävyyden, visualisoinnin ja viestintätekniikoiden näkökulmista. Tutkimustyön tuloksena kirjoittaja esittelee väitöskirjassa paikkatietoisten järjestelmien kehittämiseen liittyviä ominaispiirteitä järjestelmätasojen, sulautetun tietotekniikan, mobiliteetin ja rajoitteiden näkökulmista. Lisäksi kirjoittaja esittää väitöskirjassa arkkitehtuurin, joka mahdollistaa paikkatietoisen järjestelmän kehittämisen soveltuen niin sisä- kuin ulko-olosuhteisiin. Huomioiden paikkatietoisten alustojen tason maailmanlaajuisesti väitöskirjassa kuvattu Locawe-alusta on tutkimusprototyyppinäkin tällä hetkellä tietyssä määrin ainutlaatuinen. Alustan tutkimisessa on nimittäin keskitytty sekä paikkatietoisten alustojen että geosensoriverkkojen ja älykkäiden ympäristöjen tutkimiseen. Lisäksi Locawe-alusta tarjoaa yhden ratkaisun RFID ja WSAN teknologioiden integrointiin yhdeksi kehykseksi yhdessä mobiililaitteiden kanssa. Lopuksi kirjoittaja esittää, että väitöskirjassa esitetty tutkimus- ja kehittämistoiminnan lähestymistapaa voidaan soveltaa vastaavissa tutkimusorganisaatioissa kuin CENTRIA
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Sklenar, Lukas. "A mobile location-aware recommender." Thesis, University of Kent, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.587516.
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In this thesis, we propose a light-weight collaborative filtering method for supporting the implementation of pervasive recommender systems on current and common mobile devices. To achieve this, we propose a distributed collaborative filtering-based recommender system that does not explicitly model the user in terms of his or her preferences, yet still delivers results according to them. The system we use to demonstrate this upon is a restaurant guide, one which is 'grown' by its users, by relying upon them to be the suppliers of a comprehensive list of interesting restaurants and their experiences with them. We describe how this information is added, and how it is then used via our recommender system to assist other users in identifying an appropriate choice of restaurant quickly and accurately using current, ubiquitous, infrastructure elements.
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Nelson, Giles John. "Context-aware and location systems." Thesis, University of Cambridge, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.624875.
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Bell, Jason Murray 1980. "An API for location aware computing." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/16960.
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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.Includes bibliographical references (p. 89-90).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Indoor, location-aware devices have the potential to provide extremely useful resource and building information to human users; for example, a location-aware PDA could potentially provide map information in real time. We have developed a complete, extensible, indoor location-aware API to allow clients to interact with building and resource data stored on a central server. We have designed our own data model, emphasizing a space's adjacency relationships to other spaces as the most important relational characteristic. Route finding is a fundamental algorithm for the exploration of such a data model; we investigated, implemented, and evaluated several such algorithms. Furthermore, we have implemented both a server and several clients, demonstrating the robustness and reliability of the API. The API's most complex client, the CampusMap application, runs on a commodity graphics workstation and allows a user to interact with a full, three-dimensional model of campus. CampusMap generates lowest-cost routes between any campus location by interacting with a Location Server, visualizing campus spaces, and instantly updating route results.
by Jason Murray Bell.
M.Eng.
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Jensen, Børge Setså. "Location-aware service for the UbiCollab platform." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9209.
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Location-aware services have become more important during the last decade due to the increasing mobility and connectivity of users and resources. Location-awareness is an important aspect of making an application context-aware. In supporting collaboration in a ubiquitous computing environment taking advantage of location information is an important feature. The UbiCollab Platform is a platform that supports collaboration in a ubiquitous environment. This thesis presents an extension of the UbiCollab platform to make it location-aware. The work shows how the location service can be developed to handle storing and querying of location information.
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Ji, Liu. "A Location-Aware Social Media Monitoring System." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31816.
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Social media users generate a large volume of data, which can contain meaningful and useful information. One such example is information about locations, which may be useful in applications such as marketing and security monitoring. There are two types of locations: location entities mentioned in the text of the messages and the physical locations of users. Extracting the first type of locations is not trivial because the location entities in the text are often ambiguous. In this thesis, we implement a sequential classification model with conditional random fields followed by a rule-based disambiguation model, we apply them to Twitter messages (tweets) and we show that they handle the ambiguous location entities in our dataset reasonably well. Only very few users disclose their physical locations; in order to automatically detect their locations, many approaches have been proposed using various types of information, including the tweets posted by the users. It is not easy to infer the original locations from text data, because text tends to be noisy, particularly in social media. Recently, deep learning techniques have been shown to reduce the error rate of many machine learning tasks, due to their ability to learn meaningful representations of input data. We investigate the potential of building a deep-learning architecture to infer the location of Twitter users based merely on their tweets. We find that stacked denoising auto-encoders are well suited for this task, with results comparable to state-of-the-art models. Finally, we combine the two models above with a third-party sentiment analysis tool and obtain a intelligent social media monitoring system. We show a demo of the system and that it is able to predict and visualize the locations and sentiments contained in a stream of tweets related to mobile phone brands - a typical real world e-business application.
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Kang, Jong Hee. "Location-aware information access through wireless networks /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/6878.
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RajuladeviKasi, UdayKiran. "Location-aware replication in virtual Hadoop environment." Thesis, Wichita State University, 2012. http://hdl.handle.net/10057/5609.
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MapReduce is a framework for processing highly distributable tasks across huge datasets using a large number of compute nodes. As an implementation of MapReduce, Hadoop is widely used in the industry. Hadoop is a software platform that utilizes the distributed processing of big data across a cluster of servers. Virtualization of Hadoop Cluster shows great potential as it is easy to configure and economical to use. With some of the advantages like rapid provisioning, security and efficient resource utilization, Virtualization can be a great tool to increase efficiency of a Hadoop Cluster. However, the data redundancy which is a critical part of the Hadoop architecture can be compromised using traditional Hadoop data allocation methods. MapReduce which is known for its I/O intensive applications faces a problem with the decrease in data redundancy and unbalanced load in the virtual Hadoop cluster. In this research, the authors consider a Hadoop cluster where multiple virtual machines (VMs) co-exist on several physical machines to analyze the data allocation problem in a virtual environment. The authors also design a strategy for file block allocation which is compatible with the native Hadoop data allocation method. This research shows the serious implications of the native Hadoop data redundancy method and proposes a new algorithm that can correct the data placement in the nodes and maintain the redundancy in Hadoop cluster.Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science
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Lu, Zhenxin, and 蘆振鑫. "Location-aware routing with reduced location maintenance routing for Ad hoc networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B29737308.
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Sankaran, Hariharan. "System level energy optimization for location aware computing." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001343.
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Gimre, Sigurd, and Hege Servold. "Generic framework for development of location-aware applications." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-263.
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Today, several tourist attractions use handheld devices that act as tour guides to give the customers an improved experience and better knowledge of the attraction. A graphical user interface on the devices provides the users with information through sound, pictures and video. In order to improve the information delivered to the users, some of these guides are location-aware. However, location-aware tour guides are expensive to develop. They have to be developed tailored for each attraction, which is a time consuming job.
By having a framework for the development of location-aware tour guides, the tour guides will be both easier and less expensive to develop. In addition, it will be easy to make changes to the guides if necessary.
This project resulted in the development of a prototype for a framework for location-aware tour guides. The framework consists of three main tools; a Creator Tool, a Statistical Tool and a Runtime System. The Creator Tool is used to create and configure new tour guides. The Statistical Tool is used by the staff of the attraction. It generates statistics based on information stored in a log. The Runtime System is the system that provides the mobile devices information, adjusted to their location during a guided tour. To demonstrate the use of the framework, we have developed two client applications, one for PDAs and the other for cellphones. Both applications are electronically location-aware tour guides made for the Nidaros Cathedral.
The cellphone application is an innovative application that may result in a tremendous evolvement in the development of cellphone applications. It shows great potentials in the area of location-aware cellphone applications with high accuracy, and can be used not only in tour attractions, but also in several other fields. Thus, the project has gained a great deal of publicity, both from newspapers and television.
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Gransæther, Per Anton. "Privacy in Location aware Systems for Social Interaction." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8894.
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Social network services like Facebook, and instant messaging services like MSN Messenger have gained an enormous popularity in just a few years, and are undoubtedly popular among users.hat happens when these networks are combined with information about the users location? This masters thesis has investigated if people are willing to use systems that share the users location for the purpose of locating friends. It is also investigated if users of systems that shares their location behave in a different ways as a consequence of this location sharing. Finally, this thesis investigated if users of location sharing systems will get the feeling of loosing their personal privacy, and how privacy mechanisms can help the users not to get this feeling. These questions were investigated by developing a location-tracking social network service called The FriendRadar, which was developed for usage in Wireless Trondheim. Pupils from Trondheim Katedralskole were equipped with wireless devices to test the system in the environment. The logged data of the system was analysed and the users answered a questionnaire after the test period was completed. One user also participated in an interview. The results of these investigations show that the users did not use The FriendRadar very much, but according to the users answer to the questionnaire it seems that users are willing to use systems that share their location with others, if the benefit is that they can locate them back. It also indicates that the users do act in different ways because of the possibility to share their location. Users seem to use the fact that others can see their location deliberately to tell other their locations, but they do not avoid doing any actions. Further, it seems like spontaneous actions possibly can happen as a consequence of users seeing others location. Users of the system did not show concerns about privacy while using the system, but they could imagine this being a problem in a system with larger user mass. The most important privacy mechanisms for a future location-tracking systems, seems to be able to turn the system off and reciprocity in location sharing. Together these results shows that if the right amount of privacy mechanisms are implemented to a location-tracking system, the system can both be privacy preserving and useful for the users.
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Hjulstad, Ingrid. "Privacy Policies for Location-Aware Social Network Services." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for telematikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13807.
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The combination of location-awareness and social networks has introduced systems containing an increased amount of protection-worthy personal information, creating the need for improved privacy control from a user point of view.End-user privacy requirements were derived from identified end-user privacy preferences. These requirements were used to evaluate current Location-Aware Social Network Services' (LASNSs') end-user privacy control as well as help develop relevant enhancements.These requirements allows users to be able to control (if they wish) which of the objects related to them are accessed by whom, in what way and under which conditions. Two enhancement ideas which together helps fulfill this requirement have been presented. The few LASNSs offering the user access control rule specification only provides a small list of pre-defined subjects (e.g. "Friends", "Everyone"). This list is too limited for specification of many fine-grained privacy preferences. With a more extensive implementation of Role Based Access Control (RBAC) in LASNSs, with the user as the system administrator of roles, users will be able to create roles (e.g "colleague", "close friend", "family"), assign them to their connections, and specify these roles as subjects in access control rules. The user will also be allowed to specify conditions, under which subject(s)/role(s) can access an object. These conditions can be based on system attributes of the object owner (e.g location), the subject requesting access (e.g age) or external attributes (e.g time). A suitable user-friendly access control user interface has been proposed, showing how this can be presented in an effective and understandable way to the user. A few example user privacy preferences, each one representing one of the identified end-user privacy control requirements have been translated from data sent to the system through the proposed interface, into formal languages like Datalog and XACML.Current end-user privacy control can be improved, by making more fine-grained access control rule specification possible, through the proposed enhancements, suitable both from an end-user perspective and from a developer's point of view.
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Cheng, Po Yen. "Context and location aware wireless devices (CLAWD) protocol." Thesis, University of Salford, 2009. http://usir.salford.ac.uk/26613/.
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This thesis presents a proof of concept that context information can be distributed in a heterogenous network environment by employing a network layer protocol, i.e. the CLAWD (Context and Location Aware Wireless Devices) protocol. The inspiration for the protocol was based on the idea that a wireless device should know the location and context of other wireless devices within its local vicinity and across wireless technology. The design of CLAWD protocol utilises a pro-active broadcast approach with generic context information embedded in its Protocol Data Unit (PDU). A CLAWD table for an individual device was also developed to encapsulate context information of other wireless devices and their relationships, consequently, it provides a reconstructable network topology. Wireless technologies based on the IEEE 802.11 standard and the Bluetooth specification were chosen to represent the independence of wireless technology, and the functionality of CLAWD protocol was designed and developed using network simulator 2 (NS-2). The simulated results indicate that conveying context and location information using CLAWD protocol is feasible, and furthermore, this technique is readily adaptable over existing wireless technologies. The research demonstrates a communication protocol which can exchange context and location information amongst wireless devices in a ubiquitous environment, and it provides a context service for various wireless devices at the network layer.
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Michalakis, Nikolaos 1978. "Location-aware access control for pervasive computing environments." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/29698.
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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.Includes bibliographical references (p. 69-73).
In pervasive computing environments certain applications are interested in a user's location in order to provide a service. Such applications would benefit from an architecture that enables users to prove their location prior to requesting a service. We present PA C, an architecture for location-aware access control in pervasive computing environments, where users authenticate their location in order to gain access to resources. PAC preserves user anonymity and uses lightweight security. We evaluate our architecture with respect to its security and its scalability as the number of resources and users increase.
by Nikolaos Michalakis.
M.Eng.
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Rehman, Kasim. "Visualisation, interpretation and use of location-aware interfaces." Thesis, University of Cambridge, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.614746.
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Daruwala, Yohann. "A Constructive Memory Architecture for Context Awareness." Thesis, The University of Sydney, 2008. http://hdl.handle.net/2123/2250.
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Context-aware computing is a mobile computing paradigm in which applications can discover, use, and take advantage of contextual information, such as the location, tasks and preferences of the user, in order to adapt their behaviour in response to changing operating environments and user requirements. A problem that arises is the inability to respond to contextual information that cannot be classified into any known context. Many context-aware applications require all discovered contextual information to exactly match a type of context, otherwise the application will not react responsively. The ability to learn and recall contexts based on the contextual information discovered has not been very well addressed by previous context-aware applications and research. The aim of this thesis is to develop a component middleware technology for mobile computing devices for the discovery and capture of contextual information, using the situated reasoning concept of constructive memory. The research contribution of this thesis lies in developing a modified architecture for context-aware systems, using a constructive memory model as a way to learn and recall contexts from previous experiences and application interactions. Using a constructive memory model, previous experiences can be induced to construct potential contexts, given a small amount of learning and interaction. The learning process is able to map the many variations of contextual information currently discovered by the user with a predicted type of context based on what the application has stored and seen previously. It only requires a small amount of contextual information to predict a context, something common context-aware systems lack, as they require all information before a type of context is assigned. Additionally, some mechanism to reason about the contextual information being discovered from past application interactions will be beneficial to induce contexts for future experiences.
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Daruwala, Yohann. "A Constructive Memory Architecture for Context Awareness." University of Sydney, 2008. http://hdl.handle.net/2123/2250.
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Master of Philosophy (Architecture)Context-aware computing is a mobile computing paradigm in which applications can discover, use, and take advantage of contextual information, such as the location, tasks and preferences of the user, in order to adapt their behaviour in response to changing operating environments and user requirements. A problem that arises is the inability to respond to contextual information that cannot be classified into any known context. Many context-aware applications require all discovered contextual information to exactly match a type of context, otherwise the application will not react responsively. The ability to learn and recall contexts based on the contextual information discovered has not been very well addressed by previous context-aware applications and research. The aim of this thesis is to develop a component middleware technology for mobile computing devices for the discovery and capture of contextual information, using the situated reasoning concept of constructive memory. The research contribution of this thesis lies in developing a modified architecture for context-aware systems, using a constructive memory model as a way to learn and recall contexts from previous experiences and application interactions. Using a constructive memory model, previous experiences can be induced to construct potential contexts, given a small amount of learning and interaction. The learning process is able to map the many variations of contextual information currently discovered by the user with a predicted type of context based on what the application has stored and seen previously. It only requires a small amount of contextual information to predict a context, something common context-aware systems lack, as they require all information before a type of context is assigned. Additionally, some mechanism to reason about the contextual information being discovered from past application interactions will be beneficial to induce contexts for future experiences.
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Zakhary, Sameh Rasmy. "Collaborative location privacy-aware forwarding for opportunistic mobile networks." Thesis, University of Nottingham, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.718849.
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The worldwide deployment of mobile devices incorporated into our everyday activities made available an abundance of private location information. This information has sparked many innovative applications, but raised challenging users’ location-privacy problems. This thesis is concerned with the problem of offering source fc-anonymity location-privacy when contacting a Location-based Service (LBS) using Opportunistic Networks (OppNets). We propose a novel, fully distributed, self organized and collaborative fc-anonymity protocol (Location-Privacy-Aware Forwarding (LPAF) protocol) to protect users’ location information and offer better privacy while communicating with an untrusted LBS over OppNet. LPAF enables users to collaborate in building a social-based untraceable obfuscation path to communicate with the LBS. We utilize a lightweight multi-hop Markov-based stochastic model for location prediction to guide queries towards the LBS’s location as well as to reduce required resources in terms of re-transmission overheads. We develop a formal analytical model and present theoretical analysis and simulation of the proposed protocol performance. We perform extensive simulation over pseudo-realistic city-map using map-based mobility models, and using real-world data traces to compare LPAF to existing state-of-the-art and benchmark location-privacy protocols. We show that LPAF manages to perform better across three performance dimensions (he. quality of service -success ratio-, quality of anonymization -number of obfuscation hops- and energy efficiency -obfuscation re-transmission overhead-). LPAF achieves higher privacy levels and better success ratio and delay compared to other protocols while maintaining lower overheads. Simulation results show that LPAF outperforms other distributed protocols in terms of success ratio for pseudo realistic scenarios. We have conducted a more realistic evaluation over OppNets using two real-world data traces. Results show that LPAF can offer better location-privacy and higher success ratio compared to other protocols in scenarios with moderate social network size, but with a slight increase in delay.
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Thorheim, Johanna, and de la Giroday Anna Boyer. "Simulation of Location-aware Ad-Hoc Information Sharing Systems." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-108716.
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We have simulated the effect of different parameters in location-aware information sharing policies for crowd-based information exchange systems. The purpose of this simulation was to find out which parameters improved the upload time, battery life and success rate for nodes trying to upload a large file under bad conditions. To test the effect of these parameters on a larger scale, we simulated an area where a large number of nodes were moving around. Our test results showed that nodes greatly improved their battery life and the upload time by limiting the number of nodes they send data to, rather than sharing data with all nodes within reach. However, sending the oldest collected data performed very bad in regards of battery life time and had a relatively high amount of nodes that did not manage to upload their file. We concluded that nodes should not share their data with all available nodes at all times, and be restrictive in the amount of data they share with other nodes to conserve battery.
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Igugu, Onajite Johnson. "LAPSync : a Location-Aware Protocol for Remote File Synchronization." Thesis, Högskolan Väst, Institutionen för ingenjörsvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-4460.
Full textAbstract:
Commercial provisioning of file synchronization services (FSS) relies entirely on protocols that utilize a remote central server that is often located in the cloud to host important files. Updates at user computers are propagated to the central server and from the central server to other sources in need of such updates. Therefore, a synchronization operation between two computers located on the same network often results in file data transmission to and from this local network at least twice. This introduces an unnecessary bandwidth usage on a user’s local network and has become an issue, especially since there is an increase in the demands for internet resources. This thesis work presents a new file synchronization protocol towards FSS known as LAPSync (location-aware protocol for remote file synchronization). This paper also proposes a hierarchical synchronization mechanism by utilizing LAPSync. Our proposed solution relies on the ability of LAPSync clients to acquire knowledge about the location of clients participating in the synchronization operation to construct a hierarchical synchronization path. Finally, we implement our protocol into a prototype and conduct experiments to compare with drop-box (a popular file synchronization service). The results obtained show that LAPSync offers a reduction in bandwidth usage when the files to be synchronized exist on the same local network
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Mulanda, Brian Wise. "Robust communication for location-aware mobile robots using motes." Thesis, Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/956.
Full text
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Garlapati, Deepti Reddy. "Near Me – a location-aware to-do Android application." Kansas State University, 2015. http://hdl.handle.net/2097/20112.
Full textAbstract:
Master of ScienceComputing and Information Sciences
Daniel A. Andresen
The growing needs of different products is only being increased from day to day and among these numerous products that each person plan to purchase, it has become a tedious task to keep track of all the products that should be purchased. One such important thing is that, everyone wish to keep track of an item when the location associated with the item is nearby. We have many To-Do applications where we can just note down our day to day needs and things to get. But we might face situations like forgetting to keep track of what we have in our To Do list related to buying an item and when the location associated to the item is nearby, there are high possibilities that we overlook and just forget about purchasing these items. These situations occurred most of the times when I did a small survey among my friends. This difficulty has lead me to rethink and find a solution. The usage of smart phones has become very common these days. Android market which is an open source has helped many people to develop their own applications and these could easily be run on Android smart phones. I thought of developing an android application that helps in tracking not only the To-Do list of the items that a person tracks down to purchase but also stores the location where that item can be purchased. This To-Do app then provide notifications when a person is nearby the location associated with the item. It also triggers an alarm so that the user can easily remember what item he has planned to get in that particular location. The proposed app tries to solve most of the problems by providing an intuitive interface to the user where the user can note down all their planned purchases with location of the products and get reminders about it when passing through that location. The Near Me application is about tracking the items to be purchased or the tasks that are to be done specific to the location. Each to-do item is associated with a date, location and notes. Storing the locations in the application helps the user with timely notifications and alarms according to the location the user is in and the tasks that should be done in that location. Also these To-Do items can also be synced with online storage application like Dropbox.
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Bandy, Rebecca Anne. "Location-Aware Adaptive Vehicle Dynamics System: Linear Chassis Predictions." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/48171.
Full textAbstract:
One seminal question that faces a vehicle's driver (either human or computer) is predicting the capability of the vehicle as it encounters upcoming terrain. A Location-Aware Adaptive Vehicle Dynamics (LAAVD) System is being developed to assist the driver in maintaining vehicle handling capabilities through various driving maneuvers. In contrast to current active safety systems, this system is predictive, not reactive. The LAAVD System employs a predictor-corrector method in which the driver's input commands (throttle, brake, steering) and upcoming driving environment (terrain, traffic, weather) are predicted. An Intervention Strategy uses a novel measure of handling capability, the Performance Margin (PM), to assess the need to intervene. The driver's throttle and brake control are modulated to affect desired changes to the PM in a manner that is minimally intrusive to the driver's control authority. This system depends heavily on an understanding of the interplay between the vehicle's longitudinal, lateral, and vertical forces, as well as their resulting moments. These vehicle dynamics impact the PM metric and ultimately the point at which the Intervention Strategy will modulate the throttle and brake controls. Real-time implementation requires the development of computationally efficient predictive models of the vehicle dynamics.
In this work, a method for predicting future vehicle states, based on current states and upcoming terrain, is developed using perturbation theory. An analytical relationship between the change in the spindle forces and the resulting change in the PM is derived, and the inverse relationship, between change in PM and resulting changes in longitudinal forces, is modeled. This model is implemented in the predictor-corrector algorithm of the Intervention Strategy. Corrections to the predicted states are made at each time step using a detailed, full, non-linear vehicle model. This model is run in real-time and is intended to be replaced with a drive-by-wire vehicle. Finally, the impact of this work on the automotive industry is discussed and recommendations for future work are given.Master of Science
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Grzan, Stjepan. "Enabling technology for an indoor location aware information system." [S.l. : s.n.], 2002. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB9818583.
Full text
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Dorrell, L. B. "Location aware advertisement insertion for mobile network video streams." Thesis, Loughborough University, 2002. https://dspace.lboro.ac.uk/2134/6826.
Full textAbstract:
Mobile phone networks are on the verge of a major breakthrough in terms of the services they offer. At the same time, active networks are being presented as the next step in the evolution of network architecture, with the aim of providing greater functionality within the network but retaining flexibility. At the same time, the 3G revolution seems to be floundering, due to the need to make a financial return on the huge investment tied up in the licences. This thesis seeks to provide a way forward, by investigating the implementation of a novel service that is the provision of video streaming across the mobile network with location dependent advertisement insertion. The work retains flexibility within the network architecture to enable additional services to be evolved and implemented with minimal modification to the nodes. The approach taken is to combine the traditional architecture with active functionality. As a result this thesis describes a novel service, the implementation of a short video service with location dependent advertisement insertion. This enables the provider to generate an income by transporting the service (it is possible for a third party to generate the content instead of the network provider) and by selling the advertisement space. This thesis investigates the implementation issues involved in providing the service and presents a protocol for the operation of it. The impact of this service on other users is also studied with the conclusion being that it does not adversely effect the quality of service of the voice traff ic within the network. In order to investigate the implementation of the protocol, a simulation model was constructed in OPNET [42]. This enabled the operation of the protocol to be tested under artificial conditions using fixed movements, to verify that it operated as specified. Then under more realistic conditions, so as to predict its effect on the other traffic in the network.
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Han, Hao. "Towards Secure, Power-Efficient and Location-Aware Mobile Computing." W&M ScholarWorks, 2014. https://scholarworks.wm.edu/etd/1539623634.
Full textAbstract:
In the post-PC era, mobile devices will replace desktops and become the main personal computer for many people. People rely on mobile devices such as smartphones and tablets for everything in their daily lives. A common requirement for mobile computing is wireless communication. It allows mobile devices to fetch remote resources easily. Unfortunately, the increasing demand of the mobility brings many new wireless management challenges such as security, energy-saving and location-awareness. These challenges have already impeded the advancement of mobile systems. In this dissertation we attempt to discover the guidelines of how to mitigate these problems through three general communication patterns in 802.11 wireless networks. We propose a cross-section of a few interesting and important enhancements to manage wireless connectivity. These enhancements provide useful primitives for the design of next-generation mobile systems in the future.;Specifically, we improve the association mechanism for wireless clients to defend against rogue wireless Access Points (APs) in Wireless LANs (WLANs) and vehicular networks. Real-world prototype systems confirm that our scheme can achieve high accuracy to detect even sophisticated rogue APs under various network conditions. We also develop a power-efficient system to reduce the energy consumption for mobile devices working as software-defined APs. Experimental results show that our system allows the Wi-Fi interface to sleep for up to 88% of the total time in several different applications and reduce the system energy by up to 33%. We achieve this while retaining comparable user experiences. Finally, we design a fine-grained scalable group localization algorithm to enable location-aware wireless communication. Our prototype implemented on commercial smartphones proves that our algorithm can quickly locate a group of mobile devices with centimeter-level accuracy.
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Al, Ridhawi Ismaeel. "Design and implementation of a location-aware user tracking system." Thesis, University of Ottawa (Canada), 2009. http://hdl.handle.net/10393/28397.
Full textAbstract:
Communication devices are establishing themselves as ubiquitous features of users' daily life. This advancement is linked to tremendous growth in the sophistication of mobile-aware applications. Such applications need access to information about the users' and other objects' physical locations, a requirement known as location-awareness.
Existing location-aware applications and systems are typically restricted to a particular type of positioning technology, while modern location-aware services and applications use context and prediction methods to adapt to the needs of users and changes in the environment. The use of a single sensing technology alone provides a less accurate estimation of a user's current location.
In this paper, we introduce an ontology-based location tracking system. It makes use of multiple sensing technologies and includes a prediction method for identifying a user's current location and predicted future location. Our system architecture better serves the client by using location and context information and is, therefore, an important step forward in predictive tracking.
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Valencia, Rodríguez Salvador. "Location Aware Multi-criteria Recommender System for Intelligent Data Mining." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23418.
Full textAbstract:
One of the most important challenges facing us today is to personalize services based on user preferences. In order to achieve this objective, the design of Recommender Systems (RSs), which are systems designed to aid the users through different decision-making processes by providing recommendations to them, have been an active area of research. RSs may produce personalized and non-personalized recommendations. Non-personalized RSs provide general suggestions to a user, based on the number of times an item has been selected in the past. Personalized RSs, on the other hand, aim to predict the most suitable items for a specific user, based on the user’s preferences and constraints. The latter are the focus of this thesis. While Recommender Systems have been successful in many domains, a number of challenges remain. For example, most implementations consider only single criteria ratings, and consequently are unable to identify why a user prefers an item over others. Many systems classify the user into one single group or cluster which is an unrealistic approach, since in real world users share commonalities in different degrees with diverse types of users. Others require a large amount of previously gathered data about users’ interactions and preferences, in order to be successfully applied. In this study, we introduce a methodology for the creation of Personalized Multi Criteria Context Aware Recommender Systems that aims to overcome these shortcomings. Our methodology incorporates the user’s current context information, and techniques from the Multiple Criteria Decision Analysis (MCDA) field of study to analyze and model the user preferences. To this end, we create a multi criteria user preference model to assess the utility of each item for a specific user, to then recommend the items with the highest utility. The criteria considered when creating the user preference model are the user’s location, mobility level and user profile. The latter is obtained by considering the user specific needs, and generalizing the user data from a large scale demographic database. We present a case study where we applied our methodology into PeRS, a personal Recommender System to recommend events that will take place within the Ottawa/Gatineau Region. Furthermore, we conduct an offline experiment performed to evaluate our methodology, as implemented in our case study. From the experimental results we conclude that our RS is capable to accurately narrow down, and identify, the groups from a demographic database where a user may belong, and subsequently generate highly accurate recommendation lists of items that match with his/her preferences. This means that the system has the ability to understand and typify the user. Moreover, the results show that the obtained system accuracy doesn’t depend on the user profile. Therefore, the system is potentially capable to produce equally accurate recommendations for a wide range of the population.
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Barbeau, Sean J. "A Location-Aware Architecture Supporting Intelligent Real-Time Mobile Applications." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/3968.
Full textAbstract:
This dissertation presents LAISYC, a modular location-aware architecture for intelligent real-time mobile applications that is fully-implementable by third party mobile app developers and supports high-precision and high-accuracy positioning systems such as GPS. LAISYC significantly improves device battery life, provides location data authenticity, ensures security of location data, and significantly reduces the amount of data transferred between the phone and server. The design, implementation, and evaluation of LAISYC using real mobile phones include the following modules: the GPS Auto-Sleep module saves battery energy when using GPS, maintaining acceptable movement tracking (approximately 89% accuracy) with an approximate average doubling of battery life. The Location Data Signing module adds energy-efficient data authenticity to this architecture that is missing in other architectures, with an average approximate battery life decrease of only 7%. The Session Management and Adaptive Location Data Buffering modules also contribute to battery life savings by providing energy-efficient real-time data communication between a mobile phone and server, increasing the average battery life for application data transfer by approximately 28% and reducing the average energy cost for location data transfer by approximately 38%. The Critical Point Algorithm module further reduces battery energy expenditures and the amount of data transferred between the mobile phone and server by eliminating non-essential GPS data (an average 77% reduction), with an average doubling of battery life as the interval of time between location data transmissions is doubled. The Location Data Encryption module ensures the security of the location data being transferred, with only a slight impact on battery life (i.e., a decrease of 4.9%). The LAISYC architecture was validated in two innovative mobile apps that would not be possible without LAISYC due to energy and data transfer constraints. The first mobile app, TRAC-IT, is a multi-modal travel behavior data collection tool that can provide simultaneous real-time location-based services. In TRAC-IT, the GPS Auto-Sleep, Session Management, Adaptive Location Data Buffering, Critical Point algorithm, and the Session Management modules all contribute energy savings that enable the phone's battery to last an entire day during real-time high-resolution GPS tracking. High-resolution real-time GPS tracking is critical to TRAC-IT for reconstructing detailed travel path information, including distance traveled, as well as providing predictive, personalized traffic alerts based on historical and real-time data. The Location Data Signing module allows transportation analysts to trust information that is recorded by the application, while the Location Data Encryption module protects the privacy of users' location information. The Session Management, Adaptive Location Data Buffering, and Critical Point algorithm modules allow TRAC-IT to avoid data overage costs on phones with limited data plans while still supporting real-time location data communication. The Adaptive Location Data Buffering module prevents tracking data from being lost when the user is outside network coverage or is on a voice call for networks that do not support simultaneous voice and data communications. The second mobile app, the Travel Assistance Device (TAD), assists transit riders with intellectual disabilities by prompting them when to exit the bus as well as tracking the rider in real-time and alerting caregivers if they are lost. In the most recent group of TAD field tests in Tampa, Florida, TAD provided the alert in the ideal location to transit riders in 100% (n = 33) of tests. In TAD, the GPS Auto-Sleep, Session Management, Adaptive Location Data Buffering, Critical Point algorithm, and the Session Management modules all contribute energy savings that enable the phone's battery to last an entire day during real-time high-resolution GPS tracking. High-resolution GPS tracking is critical to TAD for providing accurate instructions to the transit rider when to exit the bus as well as tracking an accurate location of the traveler so that caregivers can be alerted if the rider becomes lost. The Location Data Encryption module protects the privacy of the transit rider while they are being tracked. The Session Management, Adaptive Location Data Buffering, and Critical Point algorithm modules allow TAD to avoid data overage costs on phones with limited data plans while still supporting real-time location data communication for the TAD tracking alert features. Adaptive Location Data Buffering module prevents transit rider location data from being lost when the user is outside network coverage or is on a voice call for networks that do not support simultaneous voice and data communications.
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Huang, Albert Shuyu. "The use of Bluetooth in Linux and location aware computing." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34105.
Full textAbstract:
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.Includes bibliographical references (p. 87-89).
The Bluetooth specification describes a robust and powerful technology for short-range wireless communication. Unfortunately, the specification is immense and complicated, presenting a formidable challenge for novice developers. Currently, there is a lack of satisfactory technical documentation describing Bluetooth application development and the parts of the Bluetooth specification that are relevant to software developers. This thesis explains Bluetooth programming in the context of Internet programming and shows how most concepts in Internet programming are easily translated to Bluetooth. It describes how these concepts can be implemented in the GNU/Linux operating system using the BlueZ Bluetooth protocol stack and libraries. A Python extension module is presented that was created to assist in rapid development and deployment of Bluetooth applications. Finally, an inexpensive and trivially deployed infrastructure for location aware computing is presented, with a series of experiments conducted to determine how best to exploit such an infrastructure.
by Albert Shuyu Huang.
S.M.
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Ferner, Ulric John. "Distributed belief propagation and its generalizations for location-aware networks." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/57690.
Full textAbstract:
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2010.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 77-80).
This thesis investigates the use of generalized belief propagation (GBP) and belief propagation (BP) algorithms for distributed inference. The concept of a network region graph is introduced, along with several approximation structures that can be distributed across a network. In this formulation, clustered region graphs are introduced to create a network "backbone" across which the computation for inference is distributed. This thesis shows that clustered region graphs have good structural properties for GBP algorithms. We propose the use of network region graphs and GBP for location-aware networks. In particular, a method for representing GBP messages non-parametrically is developed. As an special case, we apply BP algorithms to mobile networks without infrastructure, and we propose heuristics to optimize degree of network cooperation. Numerical results show a five times performance increase in terms of outage probability, when compared to conventional algorithms.
by Ulric John Ferner.
S.M.
36
Nandi, Animesh. "LALA: Location aware load aware overlay anycast." Thesis, 2004. http://hdl.handle.net/1911/17714.
Full textAbstract:
Anycast is a powerful paradigm for managing and locating resources in decentralized distributed systems. Ideally, an anycast system must be scalable, location-aware and load-aware. Location-awareness means that the anycast system should be able to locate a resource that is near the client in the network. Load-awareness means that it must be able to disperse load to avoid overloading group members in the case of high demand in a certain region of the network.
Existing anycast systems are either location-aware or load-aware, but not both. We motivate LALA, a generic architecture for doing scalable, location-aware, load-aware anycast that realizes the following anycast functionality: Given a client request, our goal is to select the closest anycast server that has enough resources to satisfy the client's request. We show how LALA can be designed on some of the existing overlay anycast architectures and close with an evaluation that demonstrates its effectiveness.
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Sousa, Pedro José Leal de. "Location Aware Product Recommendations." Master's thesis, 2017. https://hdl.handle.net/10216/106485.
Full textAbstract:
Hoje em dia, um típico catálogo de lojas de retalho engloba milhares de produtos e essa vasta quantidade de produtos dificulta ao utilizador a perceção de todas as opções e suas respetivas especificações sem gastar muito tempo em cada viagem de compras. Para dar a conhecer potenciais produtos ao cliente e simultaneamente favorecer potenciais vendas em loja, os sistemas de recomendação são aplicações que reduzem a informação analisada pelo cliente e ajudam a decidir alternativas, ao explorar outros produtos e categorias que possam ser do seu interesse. Com o vasto conhecimento sobre o cliente que as lojas já possuem, é possível extrair informações como preferências do utilizador, padrões de compras, categorias relacionadas com produtos previamente comprados e, portanto, entender o que pode melhorar a experiência de compra para o cliente. Os sistemas de recomendação podem ser aplicados a qualquer tipo de loja, geralmente sistemas de recomendação tradicionais baseados em filtragem colaborativa ou baseada em conteúdo usam modelos simples. Os context‐aware recommenders tem em conta, não só o histórico de compras do cliente, mas também o contexto em que essas compras foram realizadas e o contexto atual do utilizador alvo ao gerar recomendações. Um contexto possível é a localização do cliente e a posição dos artigos dentro da loja, com esse tipo de informação é possível apresentar melhores recomendações, mais personalizadas e oportunas. O produto final de um sistema de recomendação deve ser considerado um poderoso assistente personalizado que conhece os clientes e todos os produtos da loja sendo capaz de os aconselhar e orientar de acordo com seus gostos e, neste caso, a sua localização durante as suas viagens de compras. Aproveitando a experiência e o know‐how da Fraunhofer AICOS nas áreas de localização interna precisa e recomendação de produtos, essas duas técnicas foram combinadas numa solução inovadora que ajuda a melhorar o planeamento das viagens de compras dos clientes oferecendo aconselhamento antes e durante o seu percurso. Foram explorados sistemas de recomendação com conhecimento de contexto combinados com a extração de padrões periódicos para construir uma aplicação de acompanhamento de compras robusto e um sistema de suporte.Nowadays a typical retail chain store catalog encompasses thousands of products, the sheer quantity of products makes it dicult for the customer to be familiar with all the options and their specificities without spending too much time in each shopping trip. In order to make products known that the customer may be interested, while providing potential store sales, recommendation systems are applied to reduce the information examined by the customer and help him decide alternatives, to explore other products and categories that may please him. With the vast customer knowledge that stores already keep, it is possible to extract information such as preferential products, shopping patterns, product related categories and thus understand what can make a better shopping experience for the customer. Recommendation systems can be applied to any store type, usually traditional recommendation systems based on collaborative or content-based filtering use simple models. Context-aware recommenders take into account not only the customer purchase history but the context in which those purchases were made, and also takes into account the target user current context when generating recommendations. One possible context is the user's location and whereabouts inside the store, with this type of information it is possible and desirable to use it to produce better, more personalized and timely (well-timed) product recommendations. The final product of a recommendation system should be considered as a powerfull personalized assistant who knows the customers and all the products of the store, and during their shopping trips, advises and guides them according to their tastes and in this case their location. Taking advantage of Fraunhofer AICOS previous experience and know-how in the areas of accurate internal location and product recommendation, these two techniques were combined into an innovative solution that helps improve customers planning and shopping trips offering counselling before and during the customer journey. Context-aware recommendation systems was explored combined with periodic and sequential pattern mining in order to build a robust shopping companion app and support system.
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Sousa, Pedro José Leal de. "Location Aware Product Recommendations." Dissertação, 2017. https://hdl.handle.net/10216/106485.
Full textAbstract:
Hoje em dia, um típico catálogo de lojas de retalho engloba milhares de produtos e essa vasta quantidade de produtos dificulta ao utilizador a perceção de todas as opções e suas respetivas especificações sem gastar muito tempo em cada viagem de compras. Para dar a conhecer potenciais produtos ao cliente e simultaneamente favorecer potenciais vendas em loja, os sistemas de recomendação são aplicações que reduzem a informação analisada pelo cliente e ajudam a decidir alternativas, ao explorar outros produtos e categorias que possam ser do seu interesse. Com o vasto conhecimento sobre o cliente que as lojas já possuem, é possível extrair informações como preferências do utilizador, padrões de compras, categorias relacionadas com produtos previamente comprados e, portanto, entender o que pode melhorar a experiência de compra para o cliente. Os sistemas de recomendação podem ser aplicados a qualquer tipo de loja, geralmente sistemas de recomendação tradicionais baseados em filtragem colaborativa ou baseada em conteúdo usam modelos simples. Os context‐aware recommenders tem em conta, não só o histórico de compras do cliente, mas também o contexto em que essas compras foram realizadas e o contexto atual do utilizador alvo ao gerar recomendações. Um contexto possível é a localização do cliente e a posição dos artigos dentro da loja, com esse tipo de informação é possível apresentar melhores recomendações, mais personalizadas e oportunas. O produto final de um sistema de recomendação deve ser considerado um poderoso assistente personalizado que conhece os clientes e todos os produtos da loja sendo capaz de os aconselhar e orientar de acordo com seus gostos e, neste caso, a sua localização durante as suas viagens de compras. Aproveitando a experiência e o know‐how da Fraunhofer AICOS nas áreas de localização interna precisa e recomendação de produtos, essas duas técnicas foram combinadas numa solução inovadora que ajuda a melhorar o planeamento das viagens de compras dos clientes oferecendo aconselhamento antes e durante o seu percurso. Foram explorados sistemas de recomendação com conhecimento de contexto combinados com a extração de padrões periódicos para construir uma aplicação de acompanhamento de compras robusto e um sistema de suporte.Nowadays a typical retail chain store catalog encompasses thousands of products, the sheer quantity of products makes it dicult for the customer to be familiar with all the options and their specificities without spending too much time in each shopping trip. In order to make products known that the customer may be interested, while providing potential store sales, recommendation systems are applied to reduce the information examined by the customer and help him decide alternatives, to explore other products and categories that may please him. With the vast customer knowledge that stores already keep, it is possible to extract information such as preferential products, shopping patterns, product related categories and thus understand what can make a better shopping experience for the customer. Recommendation systems can be applied to any store type, usually traditional recommendation systems based on collaborative or content-based filtering use simple models. Context-aware recommenders take into account not only the customer purchase history but the context in which those purchases were made, and also takes into account the target user current context when generating recommendations. One possible context is the user's location and whereabouts inside the store, with this type of information it is possible and desirable to use it to produce better, more personalized and timely (well-timed) product recommendations. The final product of a recommendation system should be considered as a powerfull personalized assistant who knows the customers and all the products of the store, and during their shopping trips, advises and guides them according to their tastes and in this case their location. Taking advantage of Fraunhofer AICOS previous experience and know-how in the areas of accurate internal location and product recommendation, these two techniques were combined into an innovative solution that helps improve customers planning and shopping trips offering counselling before and during the customer journey. Context-aware recommendation systems was explored combined with periodic and sequential pattern mining in order to build a robust shopping companion app and support system.
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Nisi, Valentina. "Location aware multimedia narratives." Doctoral thesis, 2008. http://hdl.handle.net/10400.13/1389.
Full text
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Xu, Zhengdao. "Efficient Location Constraint Processing for Location-aware Computing." Thesis, 2009. http://hdl.handle.net/1807/17847.
Full textAbstract:
For many applications of location-based services, such as friend finding, buddy tracking,information sharing and cooperative caching in ad hoc networks, it is often important to be able to identify whether the positions of a given set of moving objects are within close proximity. To compute these kinds of proximity relations among large populations of moving objects, continuously available location position information of these objects must be correlated against each other to identify whether a given set of objects are in the specified proximity relation.
In this dissertation, we state this problem, referring to it as the location constraint matching problem, both in the Euclidean space and the road network space. In the Euclidean space, we present an adaptive solution to this problem for various environments. We also study the position uncertainty associated with the constraint matching. For the road network space, where the object can only move along the edges of the road network, we propose an efficient algorithm based on graph partitioning, which dramatically restricts the search space and enhances performance.
Our approaches reduce the constraint processing time by 80% for Euclidean space and by 90% for road network space respectively.
The logical combination of individual constraints with conjunction, disjunction and negation results in more expressive constraint expressions than are possible
based on single constraints. We model constraint expressions with Binary Decision
Diagrams (BDD). Furthermore, we exploit the shared execution of constraint combinations
based on the BDD modeling.
All the algorithms for various aspects of the constraint processing are integrated in the research prototype L-ToPSS (Location-based Toronto Publish/Subscribe System). Through experimental study and the development of an analytical model, we show that the proposed solution scales to large numbers of constraints and large numbers of moving objects.
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Ravi, Nishkam. "Bootstrapping location-aware personal computing." 2008. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17218.
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Cheng, Kun-Chieh, and 鄭昆玠. "Location-Aware Indoor Emergency Navigation System." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/19719895307214937305.
Full textAbstract:
碩士國立屏東商業技術學院
資訊管理系
97
People who are in the disaster do not have any idea of the exact position in the emergency environment. When the emergency events occurs, they go blindly or so nervous too calm down. They can only follow people’s running or rely on their weak memory of this indoor environment to search the exit. It maybe waste much time and couldn’t search the exit correctly right away. Abstract-In this paper, a location-aware indoor emergency navigation system is proposed. When any user carrying a mobile device provided with RFID reader enters an indoor environment that is installed in advance with RFID tags of the navigation system, the mobile device will automatically detect the system and download a map of escaping routes onto the device beforehand. When emergency events occur, the mobile device could immediately identify users’ locations by reading RFID tags and establish escaping routes. People could safely avoid hazardous areas while escaping from emergency and disasters like fire and earthquakes through the guidance of the mobile device. With the aid of this system, personal safety against accidents will be better ensured to achieve the objective of minimal casualties.
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Li, Hsuan-Hao, and 李炫皞. "Building Location-aware Integrated Web Service." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/48598242357743412598.
Full textAbstract:
碩士國立成功大學
電機工程學系專班
92
The Internet is instinct with a large number of services carrying sufficient information when it is prospering. In addition, the application of the location-aware devices becomes more in daily life owing to the popularization of the location-sensible technology and the reduction of the price. Better services may therefore be provided if the Internet information services and the skills of producing location-aware devices can be integrated into an application that will automatically detect the location and related information on the Internet. In this dissertation, an implement of integrating the existing Web Services on the Internet will be designed. It will define some tags which represent the workflow to describe the integration. The service integration designer may contrive new services with less difficulty. An abstract location representation, Location Domain ID, is used to display different kinds of sensor and locate various application services. To combine the workflow with the representation of abstract location, an integrated system serves with the location-aware functions can therefore be introduced.
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Fernandes, Flávio Duarte Pacheco. "LHView: Location Aware Hybrid Partial View." Master's thesis, 2017. http://hdl.handle.net/10362/66268.
Full textAbstract:
The rise of the Cloud creates enormous business opportunities for companies to provide
global services, which requires applications supporting the operation of those services
to scale while minimizing maintenance costs, either due to unnecessary allocation of
resources or due to excessive human supervision and administration. Solutions designed
to support such systems have tackled fundamental challenges from individual component
failure to transient network partitions. A fundamental aspect that all scalable large
systems have to deal with is the membership of the system, i.e, tracking the active components
that compose the system. Most systems rely on membership management protocols
that operate at the application level, many times exposing the interface of a logical overlay
network, that should guarantee high scalability, efficiency, and robustness.
Although these protocols are capable of repairing the overlay in face of large numbers
of individual components faults, when scaling to global settings (i.e, geo-distributed
scenarios), this robustness is a double edged-sword because it is extremely complex for
a node in a system to distinguish between a set of simultaneously node failures and a
(transient) network partition. Thus the occurrence of a network partition creates isolated
sub-sets of nodes incapable of reconnecting even after the recovery from the partition.
This work address this challenges by proposing a novel datacenter-aware membership
protocol to tolerate network partitions by applying existing overlay management techniques
and classification techniques that may allow the system to efficiently cope with
such events without compromising the remaining properties of the overlay network. Furthermore,
we strive to achieve these goals with a solution that requires minimal human
intervention.
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Veiga, Iúri David da Cruz. "Location-aware in m-learning applications." Master's thesis, 2009. http://hdl.handle.net/10400.6/3754.
Full textAbstract:
O Mobile learning (m-learning) apresenta-se como uma tecnologia promissora e com um grande potencial de utilização no ensino à distância. A aprendizagem no m-learning é efectuada recorrendo à utilização de dispositivos móveis como Personal Digital Assistants (PDA), telemóveis, ou portáteis. O Global Positioning System (GPS) é um sistema de localização geográficaquefoidesenvolvidopeloDepartamentodeDefesadosE.U.A.(DoD). Estesistemautilizaumaconstelaçãode24a32satélitesemórbitasgeoestacionárias, que enviam para a Terra sinais de rádio utilizados pelos receptores de sinais GPS para determinar qual é a sua localização e velocidade. O Sharable Content Object Reference Model (SCORM) é um conjunto de normas e especificações para sistemas de e-learning baseados na Web. O SCORM foi apresentado pela Advanced Distributed Learning (ADL) que é uma instituição que fez parte do DoD e é hoje em dia considerado o standard para Sistemas de e-learning.
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鄭湘海. "A Generic Collaborative System for Location Aware and Location Based Services." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/22215129717299535762.
Full textAbstract:
碩士大葉大學
資訊管理學系碩士班
92
The rapid development of wireless environment and the advances in mobile devices has changed the life of people, which people can get any information they want at anywhere, which is called mobile service and is a popular service to people now. In the services offered by mobile service, the location-aware service is active service to mobile user because of its ability of notifying people to get more potential and valuable location-related information they need. In this research we first use scenario and UML methodology to analyze the requirement of location-aware services. Second, we design and build a location-aware service framework according to user requirement. Finally, we use this service framework to implement a Prototyping system to demonstrate the effect of this research.
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Luo, Wanying. "Designing a Privacy-Aware Location Proof Architecture." Thesis, 2010. http://hdl.handle.net/10012/5073.
Full textAbstract:
Although location-based applications have existed for several years, verifying the correctness of a user's claimed location
is a challenge that has only recently gained attention in the research community. Existing architectures for the generation and verification of such location proofs have limited flexibility. For example, they
do not support the proactive gathering of location proofs, where, at the time of acquiring a location proof, a user does not yet know for which application or service she will use this proof. Supporting proactive location proofs is challenging because these proofs might enable proof issuers to track a user or they might violate a user's location privacy by revealing more information about a user's
location than strictly necessary to an application. In addition, none of the existing architectures possesses an effective cheat detection mechanism to spot users who cheat about their location. We present seven essential design goals that a flexible location proof architecture should meet. Furthermore, we introduce a lightweight location proof architecture that realizes a subset of our design goals and that includes user anonymity and location privacy as key design components, as opposed
to previous proposals. We then present a complete architecture that meets all of the design goals and demonstrate how some of the design goals can be achieved by adopting proper cryptographic techniques. Note that the reason of having a lightweight architecture that meets a subset of our design goals is explained in section 2.4.6. Finally, we provide an implementation, experimental results and a deployment strategy of our location proof architecture, and present three real-world location-proof-based applications to further demonstrate the practicality of our architecture.
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Fu, Kah-Kuen. "Mobile Spatial Subscriptions for Location-Aware Services." Thesis, 2010. http://hdl.handle.net/10012/5507.
Full textAbstract:
Spatial subscriptions have been used to specify locations of interest in Distributed Event-based Systems (DEBSs). However, current DEBSs representations to support spatial subscriptions are not expressive enough to describe some forms of subscriptions in mobile settings. For instance, users are not allowed to specify a spatial subscription that refers to other more well-known locations, in case they are not familiar with the names of their current locations. In addition, the middleware in existing DEBSs does not support changes at runtime, and modification to these middleware systems to support spatial subscriptions are highly coupled with specific DEBS infrastructures.
In this thesis, I argue that by enhancing the expressiveness of spatial subscriptions, a new model of mobile spatial subscriptions for location-aware services can be defined and a reusable plug-in implementation approach that supports existing DEBSs can be developed. This thesis first summarizes the essential abstractions to specify mobile spatial subscriptions, and analyze the expressiveness of existing DEBSs to support these abstractions. Second, it proposes a three-level mobile spatial subscription model, which supports the essential abstractions used to specify spatial subscriptions. The first level of the model handles subscriptions consisting of geometric coordinates; the second level supports subscriptions with location labels; the third level interprets subscriptions which specify locations by stating their dynamic properties. Next, a plug-in implementation approach is introduced, and hence, the three-level model can be integrated with different DEBSs with minimal modification to the middleware. The subscription model is implemented as a subscriber/publisher component, instead of directly modifying the existing DEBS. Finally, I develop a prototype system, Dynamic Mobile Subscription System (DMSS), and illustrate the usefulness and applicability of the three-level model and the plug-in implementation approach.
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"Personalized location-sensing for context-aware applications." 2003. http://library.cuhk.edu.hk/record=b5896113.
Full textAbstract:
Yu Sheung Fan.Thesis (M.Phil.)--Chinese University of Hong Kong, 2003.
Includes bibliographical references (leaves 96-99).
Abstracts in English and Chinese.
Chapter 1. --- Introduction --- p.1
Chapter 1.1 --- Background: Context-Aware Applications --- p.2
Chapter 1.1.1 --- Definitions of Context --- p.2
Chapter 1.1.2 --- Existing Applications --- p.3
Chapter 1.1.3 --- Review --- p.6
Chapter 1.2 --- Research Motivation --- p.6
Chapter 1.3 --- Research Contributions --- p.8
Chapter 1.4 --- Thesis Outline --- p.8
Chapter 2. --- Location-sensing Technologies --- p.9
Chapter 2.1 --- Global Positioning System (GPS) --- p.9
Chapter 2.2 --- Existing indoor Location-sensing Systems --- p.11
Chapter 2.2.1 --- Active Badge --- p.11
Chapter 2.2.2 --- The Bat System --- p.12
Chapter 2.2.3 --- RADAR --- p.13
Chapter 2.2.4 --- PinPoint 3D-iD --- p.14
Chapter 2.2.5 --- Easy Living --- p.15
Chapter 2.3 --- System Properties and Risks --- p.16
Chapter 2.3.1 --- Accuracy --- p.17
Chapter 2.3.2 --- Cost --- p.18
Chapter 2.3.3 --- User Privacy --- p.18
Chapter 2.3.4 --- Location Representation --- p.19
Chapter 2.3.5 --- Other Limitations --- p.20
Chapter 2.4 --- Design Goals --- p.20
Chapter 2.4.1 --- Operate Inside Buildings --- p.21
Chapter 2.4.2 --- Preserve User Privacy --- p.21
Chapter 2.4.3 --- Low Cost --- p.22
Chapter 2.4.4 --- Fast Response --- p.22
Chapter 2.4.5 --- Spatial Recognition --- p.23
Chapter 2.4.6 --- Easy Administration and Deployment --- p.23
Chapter 2.5 --- Summary --- p.23
Chapter 3. --- System Design --- p.25
Chapter 3.1 --- System Architecture --- p.25
Chapter 3.2 --- Position-sensing Platform --- p.28
Chapter 3.2.1 --- Platform Architecture --- p.29
Chapter 3.2.2 --- Transmission Format --- p.30
Chapter 3.2.3 --- Distance Measurement --- p.31
Chapter 3.2.4 --- Position Estimation --- p.32
Chapter 3.2.5 --- Noise Cancellation --- p.35
Chapter 3.2.6 --- Location Inference --- p.36
Chapter 3.3 --- Summary --- p.38
Chapter 4. --- System Implementation --- p.39
Chapter 4.1 --- Communication Technologies --- p.39
Chapter 4.1.1 --- Ultrasound --- p.40
Chapter 4.1.2 --- Radio Frequency Identification (RFID) --- p.40
Chapter 4.1.3 --- Infrared Data Association (IrDA) --- p.41
Chapter 4.1.4 --- Bluetooth --- p.42
Chapter 4.2 --- Technologies Overview --- p.43
Chapter 4.2.1 --- Positioning --- p.44
Chapter 4.2.2 --- Networking --- p.44
Chapter 4.2.3 --- Communication Protocol --- p.45
Chapter 4.2.4 --- Range --- p.45
Chapter 4.2.5 --- Angle Dependency --- p.45
Chapter 4.2.6 --- Hardware supports --- p.46
Chapter 4.3 --- Hardware --- p.46
Chapter 4.3.1 --- Mobile Receiver --- p.46
Chapter 4.3.2 --- Transmitter --- p.47
Chapter 4.4 --- Software --- p.47
Chapter 4.4.1 --- Communication Protocol --- p.48
Chapter 4.4.2 --- Programming Environment --- p.48
Chapter 4.4.3 --- Signal Generation Routine --- p.48
Chapter 4.4.4 --- Position Estimation Routine --- p.50
Chapter 4.5 --- Summary --- p.53
Chapter 5. --- Evaluation --- p.55
Chapter 5.1 --- Platform Calibration --- p.55
Chapter 5.1.1 --- Outliers Elimination --- p.56
Chapter 5.1.2 --- Delay Determination --- p.58
Chapter 5.1.3 --- Window Size Determination --- p.61
Chapter 5.1.4 --- Revised Position Estimation Algorithm --- p.63
Chapter 5.2 --- Platform Evaluation - IrDA Figure 5.9: Experimental setup for distance performance evaluation --- p.64
Chapter 5.2.1 --- Distance Measurement Figure 5.10: IrDA horizontal distance measurement experiment results --- p.66
Chapter 5.2.2 --- Position Estimation - Static --- p.66
Chapter 5.2.3 --- Position Estimation - Mobile --- p.68
Chapter 5.3 --- Platform Evaluation - Bluetooth --- p.69
Chapter 5.3.1 --- Distance Measurement --- p.69
Chapter 5.3.2 --- Position Estimation - Static --- p.70
Chapter 5.3.3 --- Position Estimation ´ؤ Mobile --- p.71
Chapter 5.4 --- Summary --- p.73
Chapter 6. --- Applications --- p.74
Chapter 6.1 --- Potential Applications --- p.74
Chapter 6.1.1 --- Resource Tracking Systems --- p.75
Chapter 6.1.2 --- Shopping Assistance System --- p.76
Chapter 6.1.3 --- Doctor Tracking System --- p.77
Chapter 6.1.4 --- Tourist Guide Application --- p.78
Chapter 6.1.5 --- Other Applications --- p.79
Chapter 6.2 --- System Limitations --- p.79
Chapter 6.3 --- Summary --- p.79
Chapter 7. --- Conclusion --- p.80
Chapter 7.1 --- Summary --- p.80
Chapter 7.2 --- Future Work --- p.81
Chapter Appendix A: --- IrDA --- p.86
Chapter A.1 --- IrDA Physical Layer --- p.86
Chapter A.2 --- Physical Aspects of IrDA Physical Layer --- p.87
Chapter A.3 --- Discovering Other IrDA Devices --- p.88
Chapter A.4 --- Connection of IrDA Devices --- p.89
Chapter Appendix B: --- Bluetooth --- p.91
Chapter B.1 --- Bluetooth Stack --- p.91
Chapter B.2 --- Radio --- p.92
Chapter B.3 --- Frequency Hopping --- p.92
Chapter B.4 --- Package Structure --- p.92
Chapter B.5 --- The Link Controller --- p.93
Chapter B.6 --- The Link Manager --- p.93
Chapter B.7 --- Logical Link Control and Adaptation Protocol --- p.94
Chapter B.8 --- The Service Discovery Protocol --- p.94
Chapter B.9 --- Encryption and Security --- p.95
Bibliography --- p.96
50
Su, Bo-Ming, and 蘇柏銘. "Location-Aware Indoor Search and Rescue System." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/60004359039708056769.
Full textAbstract:
碩士國立屏東商業技術學院
資訊工程系(所)
98
In 2005 the government promoted RFID technology and the establishment of “RFID application-driven field of public office” has been made in medical care, school safety, speedy customs clearance, electronic passports and smart library. A number of public-service applications which is close to people’s daily life are already accomplished, but new applications to the technical aspects of indoor search and rescue are rarely carried out. Indoor search and rescue techniques nowadays are mostly done by traditional intensive search which is time-consuming and exhausting. It is also dangerous for search and rescue personnel. Therefore, this thesis proposed “The Guiding System of the Location-Aware Indoor Search and Rescue.” When the personnel take the RFID reader and enter the indoor environment which has already established the RFID tags, the system will start automatically at the same time downloading the map of the indoor environment and identifying the position. With this system, the personnel can not only complete the work more effectively but also reduce the casualty.