Global ETD Search

761	Aplikace pro prezentaci a modifikaci dat v přenosných zařízeních / Application for Data Presentation and Modification in Mobile Devices Kučera, Pavel January 2009 (has links) This thesis is aimed to study the possibility of usage of mobile devices in the sphere of automation. One automation company needed to have in hand some PDA-based tool for a remote control of the technological process. There is analysis of ability of contemporary portable devices to run a application software. According to the specified requirements there is designed and implemented the client-server system based on the VNC technology. The server is a Linux-based PC server implemented using Xinetd daemon and the Xvnc. The two standard VNC clients were made. A free software available under the GPL license was modified to implement them. One runs on Windows Mobile operating system and the other one is a Java MIDlet.
762	Implementace detektoru klíčových slov do mobilního telefonu (Symbian 60) / Keyword Spotting Implementation to Mobil Phone (Symbian 60) Cipr, Tomáš Unknown Date (has links) Keyword spotting is one of the many applications of automatic speech recognition. Its purpose is determining spots in given utterance in which some of the specified words were spoken. Keyword spotting has a great potential to enhance performance of new applications as well as the existing ones. An example could be a mobile phone voice control. Due to OS Symbian's coming to the market it is even possible for end user to implement a keyword spotting for a mobile phone on his or her own. The thesis describes theoretical prerequisites for keyword spotting and its implementation. Firstly the OS Symbian is presented with respect to the given task. Secondly each step of keyword spotting process is described. Finally the object design of keyword spotter is presented followed by implementation description. The thesis concludes with results review and notes on possible improvements.
763	In pursuit of consumer-accessible augmented virtuality / En strävan efter konsumenttillgänglig augmented virtuality Berggrén, Rasmus January 2017 (has links) This project is an examination of the possibility of using existing software to develop Virtual Reality (VR) software that includes key aspects of objects in a user’s surroundings into a virtual environment, producing Augmented Virtuality (AV). A defining limitation is the requirement that the software be consumer-accessible, meaning it needs run on a common smartphone with no additional equipment. Two related AV concepts were considered: shape reconstruction and positional tracking. Two categories of techniques were considered for taking the measurements of reality necessary to achieve those AV concepts using only a monocular RGB camera as sensor: monocular visual SLAM (mvSLAM) and Structure from Motion (SfM). Two lists of requirements were constructed, formalising the notions of AV and consumer-accessibility. A search process was then conducted, where existing software packages were evaluated for their suitability to be included in a piece of software fulfilling all requirements. The evaluations of SfM systems were made in combination with Multi-View Stereo (MVS) systems – a necessary complement for achieving visible shape reconstruction using a system that outputs point clouds. After thoroughly evaluating a variety of software, it was concluded that consumer-accessible AV can not currently be achieved by combining existing packages, due to several issues. While future hardware performance increases and new software implementations would solve complexity and availability issues, some inaccuracy and usability issues are inherent to the limitation of using a monocular camera. / Detta projekt är en undersökning av möjligheten att använda befintlig programvara till att utveckla Virtual Reality (VR)-programvara som infogar framstående aspekter av objekt från en användares omgivning in i en virtuell miljö och därmed skapar Augmented Virtuality (AV). En definierande begränsning är kravet på att programvaran skall vara konsumenttillgänglig, vilket innebär att den behöver kunna köras på en vanlig smartphone utan extra utrustning. Två besläktade AV-koncept beaktades: formrekonstruktion och positionsspårning. Två kategorier av tekniker togs i beaktande, vilka kunde användas för att göra de uppmätningar av verkligheten som var nödvändiga för att uppnå de tänkta AV-koncepten med hjälp av endast en monokulär RGB-kamera som sensor: monocular visual SLAM (mvSLAM) och Structure from Motion (SfM). Två listor med kriterier konstruerades, vilka formaliserade begreppen AV och konsumenttillgänglighet. En sökprocess utfördes sedan, där befintliga programvarupaket utvärderades för sin lämplighet att inkluderas i en programvara som uppfyllde alla kriterier. Utvärderingarna av SfM-system gjordes i kombination med Multi-View Stereo (MVS)-system – ett nödvändigt komplement för att uppnå synlig formrekonstruktion med ett system vars utdata är punktmoln. Efter att noggrant ha utvärderat en mängd programvara var slutsatsen att konsumenttillgänglig AV inte för närvarande kan uppnås genom att kombinera befintliga programvarupaket, på grund av ett antal olika problem. Medan framtida prestandaökningar hos maskinvara och nya programvarutillämpningar skulle lösa problem med komplexitet och tillgänglighet, är vissa problem med tillförlitlighet och användbarhet inneboende hos begränsningen till att använda en monokulär kamera. virtual reality VR mixed reality MR augmented virtuality AV SLAM SfM interaction design consumer-accessible consumer-accessibility smartphone 3D reconstruction shape reconstruction positional tracking computer vision point cloud Multi-View Stereo MVS Unity Google Cardboard feature detection Media and Communication Technology Medieteknik
764	Posicionamiento GNSS con computación en la nube para teléfonos inteligentes: análisis de latencia y estrategias de optimización para aplicaciones en tiempo real Hernández Olcina, Jorge 17 January 2025 (has links) Tesis por compendio / [ES] El uso generalizado de teléfonos inteligentes equipados con receptores GNSS (Sistemas Globales de Navegación por Satélite) ha generado una gran cantidad de datos de posicionamiento. En este contexto, la computación en la nube en tiempo real surge como un enfoque prometedor para aprovechar esta riqueza de información de ubicación. La tesis doctoral se centra en el análisis de latencia y estrategias de optimización para este tipo de aplicaciones. Se presenta el desarrollo de una aplicación Android que captura datos GNSS sin procesar de teléfonos inteligentes, aprovecha los recursos de la computación en la nube, calcula la posición del dispositivo y devuelve la solución computada al usuario. Esta integración no solo conserva los recursos del dispositivo, sino que también permite el cálculo de la posición en tiempo real, lo que abre el camino para aplicaciones y servicios basados en la ubicación mejorados. En segundo lugar, la tesis analiza los desafíos de latencia dentro de las soluciones GNSS basadas en la nube. Se investiga y cuantifica el impacto de diversos factores en el sistema, incluyendo la adquisición de señales GNSS, la transmisión de datos, el procesamiento en la nube y la difusión de resultados. Se realizan experimentos controlados y escenarios del mundo real para evaluar la influencia de las condiciones de la red, las capacidades del dispositivo y la carga del servidor en la nube en la latencia general de posicionamiento. Los resultados resaltan los cuellos de botella del sistema y sus contribuciones relativas a la latencia. Adicionalmente, se presentan recomendaciones para mitigar estos desafíos y garantizar una experiencia de usuario óptima para aplicaciones de posicionamiento en tiempo real. La tesis doctoral contribuye al avance del posicionamiento GNSS con computación en la nube para teléfonos inteligentes. Se analizan los desafíos de latencia y se presentan estrategias de optimización, además de desarrollarse una serie de herramientas para facilitar el trabajo con datos GNSS procedentes de dispositivos móviles. / [CA] L'ús generalitzat de telèfons intel·ligents equipats amb receptors GNSS (Sistemes Globals de Navegació per Satèl·lit) ha generat una gran quantitat de dades de posicionament. En este context, la computació en el núvol en temps real sorgix com un enfocament prometedor per a aprofitar esta riquesa d'informació d'ubicació. La tesi doctoral se centra en l'anàlisi de latència i estratègies d'optimització per a esta mena d'aplicacions. Es presenta el desenvolupament d'una aplicació Android que captura dades GNSS sense processar de telèfons intel·ligents, aprofita els recursos de la computació en el núvol, calcula la posició del dispositiu i retorna la solució computada a l'usuari. Esta integració no sols conserva els recursos del dispositiu, sinó que també permet el càlcul de posició en temps real, la qual cosa obri el camí per a aplicacions i servicis basats en la ubicació millorats. En segon lloc, la tesi analitza els desafiaments de latència dins de les solucions GNSS basades en el núvol. S'investiga i quantifica l'impacte de diversos factors en el sistema, incloent-hi l'adquisició de senyals GNSS, la transmissió de dades, el processament en el núvol i la difusió de resultats. Es realitzen experiments controlats i escenaris del món real per a avaluar la influència de les condicions de la xarxa, les capacitats del dispositiu i la càrrega del servidor en el núvol en la latència general de posicionament. Les troballes ressalten els principals problemes del sistema i les seues contribucions relatives a la latència. Addicionalment, es presenten recomanacions per a mitigar estos desafiaments i garantir una experiència d'usuari òptima per a aplicacions de posicionament en temps real. La tesi doctoral contribuïx a l'avanç del posicionament GNSS amb computació en el núvol per a telèfons intel·ligents. S'analitzen els desafiaments de latència i es presenten estratègies d'optimització, a més de desenvolupar-se una sèrie de ferramentes per a facilitar el treball amb dades GNSS procedents de dispositius mòbils. / [EN] The widespread use of smartphones equipped with GNSS (Global Navigation Satellite System) receivers has generated a large amount of positioning data. In this context, real-time cloud computing emerges as a promising approach to leverage this wealth of location information. The doctoral thesis focuses on the analysis of latency and optimization strategies for such applications. The development of an Android application is presented that captures raw GNSS data from smartphones, leverages cloud computing resources, calculates the device's position, and returns the computed solution to the user. This integration not only conserves device resources but also enables real-time position calculation, paving the way for enhanced location-based applications and services. Second, the thesis analyses latency challenges within cloud based GNSS solutions. It investigates and quantifies the impact of various factors on the system, including GNSS signal acquisition, data transmission, cloud processing, and result dissemination. Controlled experiments and real-world scenarios are made to assess the influence of network conditions, device capabilities, and cloud server load on overall positioning latency. The findings highlight system bottlenecks and their relative contributions to latency. Additionally, recommendations are presented to mitigate these challenges and guarantee an optimal user experience for real-time positioning applications. The doctoral thesis contributes to the advancement of GNSS positioning with cloud computing for smartphones. Latency challenges are analysed, and optimization strategies are presented, in addition to developing a series of tools to facilitate working with mobile devices GNSS data. / Hernández Olcina, J. (2024). Posicionamiento GNSS con computación en la nube para teléfonos inteligentes: análisis de latencia y estrategias de optimización para aplicaciones en tiempo real [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/214028 / Compendio Posicionamiento en tiempo real Teléfonos inteligentes Procesamiento de datos GNSS Cinemática en tiempo real (RTK) Aplicaciones basadas en la ubicación Eficiencia energética GNSS Real-Time Smartphone Computación en la nube Android Latencia Código abierto
765	Brave New World Reloaded: Advocating for Basic Constitutional Search Protections to Apply to Cell Phones from Eavesdropping and Tracking by Government and Corporate Entities Berrios-Ayala, Mark 01 December 2013 (has links) Imagine a world where someoneâ€™s personal information is constantly compromised, where federal government entities AKA Big Brother always knows what anyone is Googling, who an individual is texting, and their emoticons on Twitter. Government entities have been doing this for years; they never cared if they were breaking the law or their moral compass of human dignity. Every day the Federal government blatantly siphons data with programs from the original ECHELON to the new series like PRISM and Xkeyscore so they can keep their tabs on issues that are none of their business; namely, the personal lives of millions. Our allies are taking note; some are learning our bad habits, from Government Communications Headquartersâ€™ (GCHQ) mass shadowing sharing plan to Americaâ€™s Russian inspiration, SORM. Some countries are following the United Statesâ€™ poster child pose of a Brave New World like order of global events. Others like Germany are showing their resolve in their disdain for the rise of tyranny. Soon, these new found surveillance troubles will test the resolve of the American Constitution and its nationâ€™s strong love and tradition of liberty. Courts are currently at work to resolve how current concepts of liberty and privacy apply to the current conditions facing the privacy of society. It remains to be determined how liberty will be affected as well; liberty for the United States of America, for the European Union, the Russian Federation and for the people of the World in regards to the extent of privacy in todayâ€™s blurred privacy expectations. Legal Studies
766	GIS-based Episode Reconstruction Using GPS Data for Activity Analysis and Route Choice Modeling / GIS-based Episode Reconstruction Using GPS Data Dalumpines, Ron 26 September 2014 (has links) Most transportation problems arise from individual travel decisions. In response, transportation researchers had been studying individual travel behavior – a growing trend that requires activity data at individual level. Global positioning systems (GPS) and geographical information systems (GIS) have been used to capture and process individual activity data, from determining activity locations to mapping routes to these locations. Potential applications of GPS data seem limitless but our tools and methods to make these data usable lags behind. In response to this need, this dissertation presents a GIS-based toolkit to automatically extract activity episodes from GPS data and derive information related to these episodes from additional data (e.g., road network, land use). The major emphasis of this dissertation is the development of a toolkit for extracting information associated with movements of individuals from GPS data. To be effective, the toolkit has been developed around three design principles: transferability, modularity, and scalability. Two substantive chapters focus on selected components of the toolkit (map-matching, mode detection); another for the entire toolkit. Final substantive chapter demonstrates the toolkit’s potential by comparing route choice models of work and shop trips using inputs generated by the toolkit. There are several tools and methods that capitalize on GPS data, developed within different problem domains. This dissertation contributes to that repository of tools and methods by presenting a suite of tools that can extract all possible information that can be derived from GPS data. Unlike existing tools cited in the transportation literature, the toolkit has been designed to be complete (covers preprocessing up to extracting route attributes), and can work with GPS data alone or in combination with additional data. Moreover, this dissertation contributes to our understanding of route choice decisions for work and shop trips by looking into the combined effects of route attributes and individual characteristics. / Dissertation / Doctor of Philosophy (PhD) GPS time use diary episode extraction multinomial logit travel behavior mode detection episode reconstruction GIS map-matching route choice path size logit potential path area scale estimation Python ArcGIS activity analysis trip reconstruction smartphone global positioning system geographic information system toolkit work trip shop trip potential activity location land use activity episode travel episode stop episode transferability scalability modularity scripting big data travel survey respondent burden preprocessing multipath error tracking purpose detection segmentation data filter data smoothing fuzzy logic neural network decision tree rule-based algorithm trajectory point road network network dataset gateway shortest path horizontal dilution of precision HDOP commonality factor mode transfer point Halifax Nova Scotia Space-Time Activity Research variance inflation factor shapefile comma-separated values traveling salesman problem data mining branch-and-bound algorithm pedestrian network alternative route observed route route efficiency route attributes distance time heading bearing duration acceleration latitude longitude coordinate overlay analysis intersect shopping module data logger walk likelihood ratio test classification table path generation kappa statistic degrees data collection transportation research automate framework ArcToolbox spatio-temporal navigation positioning trace path spatial data topology horizontal accuracy SPSS Stata spatial resolution temporal resolution household survey trip reporting proximity analysis DMTI Desktop Mapping Technologies Inc. road intersection route overlap left turn right turn location analysis time geography spatial statistics buffer analysis cycling bus transit public transportation GEOIDE AGILE data need raw data urban canyon endpoint data cleaning elevation satellite outliers automatic processing nearest node classifier classification method short trip multi-point

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