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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Management of innovation in network industries : the mobile Internet in Japan and Europe /

Haas, Michael, January 1900 (has links)
Diss.--Munchen--Ludwig-Maximilians-Universität, 2006. / Bibliogr. p. 243-266.
2

User attitude towards purchasing mobile service

Li, Hsiao-wei 12 July 2009 (has links)
Along with the emerging mobile telecommunication¡@technology, mobile telecommunication industry has developed the different service from the traditional pronunciation communication. Applications of multimedia, data transmission and so on have changed people's life greatly. For consumer, the mobile phone is not only the telephone conversation machine, but also is one kind of drawing close to life tool, the status symbol. The demand of mobile device has transforms from the traditional functionality demand into the psychological stratification. They starts to care about what service the small mobile device serve. The border of telecommunication industry is also getting more and fuzzier. The 3G development is not into the expectation, the reason lacks the innovation application. But the software service has brings a revolution to the mobile telecommunication industry. This research is for the purpose of discussing how mobile service enterprise plans the suitable transport business pattern based on the user attitude. Base on the mobile portal, discusses the consumer to choose mobile service which factors to come under these factor influence and compared with two different case consumer's value localization.. The research result indicated that mobile service is restricted in mobile device the hardware characteristic and technology, but how to utilize innovates technology to promote attracts consumer's service, can be carries out mobile service the main consideration. By the software develops platform, not only the third party software developers cut the product price, also, because the platform has discussion's space, enables the consumer to be possible to talk directly with the developers and improve the software use greatly then easy.
3

Mobile Privatization and the Metaphors of Mobile Industries

Robison, David J. January 2003 (has links)
No
4

Handover in non-GEO constellations of satellites for personal communications systems

Carter, Phillip January 1995 (has links)
No description available.
5

Mobile device reference apps to monitor and display biomedical information

Grother, Ethan Mark January 1900 (has links)
Master of Science / Department of Electrical and Computer Engineering / Steven Warren / Smart phones and other mobile technologies can be used to collect and display physiological information from subjects in various environments – clinical or otherwise. This thesis highlights software app reference designs that allow a smart phone to receive, process, and display biomedical data. Two research projects, described below and in the thesis body, guided this development. Android Studio was chosen to develop the phone application, after exploring multiple development options (including a cross-platform development tool), because it reduced the development time and the number of required programming languages. The first project, supported by the Kansas State University Johnson Cancer Research Center (JCRC), required a mobile device software application that could determine the hemoglobin level of a blood sample based on the most prevalent color in an image acquired by a phone camera, where the image is the result of a chemical reaction between the blood sample and a reagent. To calculate the hemoglobin level, a circular region of interest is identified from within the original image using image processing, and color information from that region of interest is input to a model that provides the hemoglobin level. The algorithm to identify the region of interest is promising but needs additional development to work properly at different image resolutions. The associated model also needs additional work, as described in the text. The second project, in collaboration with Heartspring, Wichita, KS, required a mobile application to display information from a sensor bed used to gather nighttime physiological data from severely disabled autistic children. In this case, a local data server broadcasts these data over a wireless network. The phone application gathers information about the bed over this wireless network and displays these data in user-friendly manner. This approach works well when sending basic information but experiences challenges when sending images. Future work for both project applications includes error handling and user interface improvements. For the JCRC application, a better way to account for image resolution changes needs to be developed, in addition to a means to determine whether the region of interest is valid. For the Heartspring application, future work should include improving image transmissions.
6

Indoor mobile robot navigation with continuous localization.

January 1999 (has links)
by Lam Chin Hung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1999. / Includes bibliographical references (leaves 60-64). / Abstracts in English and Chinese. / Acknowledgments --- p.ii / List of Figures --- p.v / List of Tables --- p.vii / Abstract --- p.viii / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Algorithm Outline --- p.7 / Chapter 2.1 --- Assumptions --- p.7 / Chapter 2.2 --- Robot Localization --- p.8 / Chapter 2.3 --- Algorithm Outline --- p.11 / Chapter 3 --- Global and Local Maps --- p.15 / Chapter 3.1 --- Feature Selection --- p.17 / Chapter 3.2 --- Line Correspondence --- p.18 / Chapter 3.3 --- Map Representation --- p.20 / Chapter 3.3.1 --- Global Map --- p.21 / Chapter 3.3.2 --- Local Map --- p.22 / Chapter 3.4 --- Integration of Multiple Local 2D Maps --- p.24 / Chapter 4 --- Localization Algorithm --- p.27 / Chapter 4.1 --- Robot Orientation --- p.28 / Chapter 4.2 --- Robot Position --- p.29 / Chapter 4.2.1 --- Match Function --- p.30 / Chapter 4.2.2 --- Search Algorithm --- p.31 / Chapter 4.3 --- Continuous Localization with Retroactive Pose Update --- p.32 / Chapter 5. --- Implementation and Experiments --- p.35 / Chapter 5.1 --- Computing Robot Orientation --- p.36 / Chapter 5.2 --- Robot Position by Map Registration --- p.42 / Chapter 5.2.1 --- Error Analysis --- p.47 / Chapter 5.3 --- Discussions --- p.49 / Chapter 6. --- Conclusion --- p.52 / Appendix --- p.54 / Chapter A.l --- Intrinsic and Extrinsic Parameters --- p.54 / Chapter A.2 --- Relation Between Cameras (Stereo Camera Calibration) --- p.55 / Chapter A.3 --- Wheel-Eyes Calibration --- p.56 / Chapter A.4 --- Epipolar Geometry --- p.58 / Chapter A.5 --- The Tele-operate Interface --- p.59 / References --- p.60
7

The implementation of a person tracking mobile robot.

January 2004 (has links)
Chan Hung-Kwan. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references (leaves 100-101). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iv / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Motivation --- p.1 / Chapter 1.2 --- Analysis of a tracking robot system: Challenges --- p.2 / Chapter 1.2.1 --- Vision approach: Detecting a moving ob- ject from a moving background in real-time --- p.2 / Chapter 1.2.2 --- Non-vision sensor approach: The determi- nation of the angle of the target --- p.3 / Chapter 1.2.3 --- Emitter-and-receiver approach --- p.4 / Chapter 2 --- Literature Review --- p.5 / Chapter 2.1 --- People Detection --- p.5 / Chapter 2.1.1 --- Background Subtraction --- p.5 / Chapter 2.1.2 --- Optical Flow --- p.6 / Chapter 2.2 --- Target Tracking Sensors --- p.7 / Chapter 3 --- Hardware and Software Architecture --- p.8 / Chapter 3.1 --- Camera --- p.8 / Chapter 3.2 --- Software --- p.8 / Chapter 3.3 --- Hardware --- p.9 / Chapter 3.4 --- Interface --- p.12 / Chapter 3.5 --- The USB Remote Controller --- p.12 / Chapter 4 --- Vision --- p.17 / Chapter 4.1 --- Vision Challenges --- p.17 / Chapter 4.1.1 --- Detecting a moving object from a moving background --- p.17 / Chapter 4.1.2 --- High-speed in real-time --- p.19 / Chapter 4.2 --- Leg Tracking by Binary Image --- p.19 / Chapter 4.3 --- Algorithm --- p.20 / Chapter 4.4 --- Advantages --- p.22 / Chapter 4.5 --- Limitations --- p.22 / Chapter 4.6 --- "Estimation of the distance, d, by vision" --- p.23 / Chapter 4.6.1 --- A more accurate version --- p.23 / Chapter 4.6.2 --- Inaccuracies --- p.25 / Chapter 4.7 --- Future Work: Estimation of the distance by both vision sensor and ultrasonic sensor --- p.25 / Chapter 4.7.1 --- Ruler-based Sensor Fusion --- p.26 / Chapter 4.7.2 --- Learning-based Sensor Fusion --- p.27 / Chapter 5 --- Control --- p.28 / Chapter 5.1 --- Control of the Camera --- p.28 / Chapter 5.1.1 --- "Estimation of the Angle, Ψ" --- p.29 / Chapter 5.2 --- Kinematic Modeling of the Robot --- p.30 / Chapter 5.3 --- The Time Derivatives of d and Ψ --- p.36 / Chapter 5.4 --- Control of the Robot --- p.38 / Chapter 5.5 --- Steering Angle and Overshooting --- p.41 / Chapter 5.5.1 --- Steering Angle Gain --- p.41 / Chapter 5.5.2 --- Small Gain --- p.41 / Chapter 6 --- Obstacle Avoidance --- p.43 / Chapter 6.1 --- Ultrasonic sensor configurations --- p.45 / Chapter 6.2 --- Approach of Control --- p.46 / Chapter 6.3 --- Algorithm --- p.49 / Chapter 6.4 --- Robot Travelling Distance Determination --- p.50 / Chapter 6.5 --- Experimental Result 1 --- p.53 / Chapter 6.6 --- Experimental Result 2 --- p.55 / Chapter 6.7 --- New ideas on the system --- p.57 / Chapter 7 --- Tracking Sensor --- p.60 / Chapter 7.1 --- Possible Methods --- p.61 / Chapter 7.1.1 --- Magnet and Compass --- p.61 / Chapter 7.1.2 --- LED --- p.61 / Chapter 7.1.3 --- Infra-red : Door Minder --- p.62 / Chapter 7.2 --- Rangefinders --- p.64 / Chapter 7.2.1 --- Configuration --- p.65 / Chapter 7.2.2 --- Algorithm --- p.67 / Chapter 7.2.3 --- Wireless Ultrasonic Emitter-receiver Pair . --- p.68 / Chapter 7.2.4 --- Omni-directional Emitter --- p.74 / Chapter 7.2.5 --- Experiments --- p.75 / Chapter 7.2.6 --- Future Work --- p.79 / Chapter 8 --- Experiments and Performance Analysis --- p.80 / Chapter 8.1 --- Experiments --- p.80 / Chapter 8.2 --- Current Performance of the Tracking Robot --- p.85 / Chapter 8.3 --- Considerations on the System Speed and Subsys- tem Speeds --- p.85 / Chapter 8.4 --- Driving and Steering work in the same time --- p.86 / Chapter 8.5 --- Steering Motor --- p.87 / Chapter 8.5.1 --- Encoders --- p.87 / Chapter 8.6 --- Driving Motor --- p.87 / Chapter 8.6.1 --- Speed --- p.87 / Chapter 8.6.2 --- Speed Range --- p.87 / Chapter 8.7 --- Communication of the Vision Part and Control Part --- p.88 / Chapter 9 --- Conclusion --- p.92 / Chapter 9.1 --- Contributions --- p.92 / Chapter 9.2 --- Future Work --- p.93 / Chapter A --- Mobile Robot Construction --- p.97 / Bibliography --- p.101
8

Access anytime anyplace an empircal investigation of patterns of technology use in nomadic computing environments /

Cousins, Karlene C. January 2004 (has links)
Thesis (Ph.D.)--Georgia State University, 2004. / Ttitle from title screen. Daniel Robey, committee chair; Marie Claude-Boudreau , Michale Gallivan, Upkar Varshney, committee members. 191 p. [numbered vi, 181] : ill. (some col.). Description based on contents viewed Feb. 26, 2007. Includes bibliographical references.
9

How does the mobile office system work?

Wang, Hsiu-Hsun 19 June 2002 (has links)
Due to the progress of wireless communication technology, mobile offices have emerged in many organizations. Although mobiles offices have many advantages, they need some supporting factors to be effectiveness. Based on four cases, this research tries to find out issues and challenges when a corporation intends to install mobile offices. The study also identifies key success factors and the best practice so that other corporations are able to learn from. Key success factors can be categorized into 12 factors, e.g. management, behavior, technology, and others. In the best practice, the study points out key factors in different phases of implementing mobile offices.
10

A Mobile Service Environment for Handheld Devices

Lin, Kuo-Chang 16 July 2002 (has links)
In this paper, we design an integrated mobile service environment (MSE) for the handheld devices (e.g., PDAs). The integral MSE is a coherent and intact service architecture built on the front-end (handheld devices), which allow the mobile users to choose and subscribe their request services provided by the Service Provider. The architectures of MSE consist of desktop agent (DA) and service agent (SA) at the top layer, communication layer at the bottom layer and a virtual machine (VM) layer between them. Desktop agent is used as the user interface and responsible for the local process management; service agent is downloaded from the back-end server to the client. The communication layer adopts XML-RPC as the communication protocol between the client and back-end server. The XML-RPC data size is reduced by our compression mechanism to shorten the transmission time. The virtual machine supports cross-platform operation for the top layer. Besides, we devise a cache mechanism to automatically store recently used and reused SAs in the limited space of handheld devices. This cache mechanism can let the mobile users get the SA they want efficiently. Finally, we implement a real-time stock transaction system to experiment the performance and the applicability of our MSE architecture.

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