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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.
691

A study of the development and evaluation of computerised personnel information systems in Hong Kong from a human resources management perspective.

January 1989 (has links)
by Chan Ping-wah. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1989. / Bibliography: leaves 135-140.
692

Shape-based image retrieval in iconic image databases.

January 1999 (has links)
by Chan Yuk Ming. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1999. / Includes bibliographical references (leaves 117-124). / Abstract also in Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Content-based Image Retrieval --- p.3 / Chapter 1.2 --- Designing a Shape-based Image Retrieval System --- p.4 / Chapter 1.3 --- Information on Trademark --- p.6 / Chapter 1.3.1 --- What is a Trademark? --- p.6 / Chapter 1.3.2 --- Search for Conflicting Trademarks --- p.7 / Chapter 1.3.3 --- Research Scope --- p.8 / Chapter 1.4 --- Information on Chinese Cursive Script Character --- p.9 / Chapter 1.5 --- Problem Definition --- p.9 / Chapter 1.6 --- Contributions --- p.11 / Chapter 1.7 --- Thesis Organization --- p.13 / Chapter 2 --- Literature Review --- p.14 / Chapter 2.1 --- Trademark Retrieval using QBIC Technology --- p.14 / Chapter 2.2 --- STAR --- p.16 / Chapter 2.3 --- ARTISAN --- p.17 / Chapter 2.4 --- Trademark Retrieval using a Visually Salient Feature --- p.18 / Chapter 2.5 --- Trademark Recognition using Closed Contours --- p.19 / Chapter 2.6 --- Trademark Retrieval using a Two Stage Hierarchy --- p.19 / Chapter 2.7 --- Logo Matching using Negative Shape Features --- p.21 / Chapter 2.8 --- Chapter Summary --- p.22 / Chapter 3 --- Background on Shape Representation and Matching --- p.24 / Chapter 3.1 --- Simple Geometric Features --- p.25 / Chapter 3.1.1 --- Circularity --- p.25 / Chapter 3.1.2 --- Rectangularity --- p.26 / Chapter 3.1.3 --- Hole Area Ratio --- p.27 / Chapter 3.1.4 --- Horizontal Gap Ratio --- p.27 / Chapter 3.1.5 --- Vertical Gap Ratio --- p.28 / Chapter 3.1.6 --- Central Moments --- p.28 / Chapter 3.1.7 --- Major Axis Orientation --- p.29 / Chapter 3.1.8 --- Eccentricity --- p.30 / Chapter 3.2 --- Fourier Descriptors --- p.30 / Chapter 3.3 --- Chain Codes --- p.31 / Chapter 3.4 --- Seven Invariant Moments --- p.33 / Chapter 3.5 --- Zernike Moments --- p.35 / Chapter 3.6 --- Edge Direction Histogram --- p.36 / Chapter 3.7 --- Curvature Scale Space Representation --- p.37 / Chapter 3.8 --- Chapter Summary --- p.39 / Chapter 4 --- Genetic Algorithm for Weight Assignment --- p.42 / Chapter 4.1 --- Genetic Algorithm (GA) --- p.42 / Chapter 4.1.1 --- Basic Idea --- p.43 / Chapter 4.1.2 --- Genetic Operators --- p.44 / Chapter 4.2 --- Why GA? --- p.45 / Chapter 4.3 --- Weight Assignment Problem --- p.46 / Chapter 4.3.1 --- Integration of Image Attributes --- p.46 / Chapter 4.4 --- Proposed Solution --- p.47 / Chapter 4.4.1 --- Formalization --- p.47 / Chapter 4.4.2 --- Proposed Genetic Algorithm --- p.43 / Chapter 4.5 --- Chapter Summary --- p.49 / Chapter 5 --- Shape-based Trademark Image Retrieval System --- p.50 / Chapter 5.1 --- Problems on Existing Methods --- p.50 / Chapter 5.1.1 --- Edge Direction Histogram --- p.51 / Chapter 5.1.2 --- Boundary Based Techniques --- p.52 / Chapter 5.2 --- Proposed Solution --- p.53 / Chapter 5.2.1 --- Image Preprocessing --- p.53 / Chapter 5.2.2 --- Automatic Feature Extraction --- p.54 / Chapter 5.2.3 --- Approximated Boundary --- p.55 / Chapter 5.2.4 --- Integration of Shape Features and Query Processing --- p.58 / Chapter 5.3 --- Experimental Results --- p.58 / Chapter 5.3.1 --- Experiment 1: Weight Assignment using Genetic Algorithm --- p.59 / Chapter 5.3.2 --- Experiment 2: Speed on Feature Extraction and Retrieval --- p.62 / Chapter 5.3.3 --- Experiment 3: Evaluation by Precision --- p.63 / Chapter 5.3.4 --- Experiment 4: Evaluation by Recall for Deformed Images --- p.64 / Chapter 5.3.5 --- Experiment 5: Evaluation by Recall for Hand Drawn Query Trademarks --- p.66 / Chapter 5.3.6 --- "Experiment 6: Evaluation by Recall for Rotated, Scaled and Mirrored Images" --- p.66 / Chapter 5.3.7 --- Experiment 7: Comparison of Different Integration Methods --- p.68 / Chapter 5.4 --- Chapter Summary --- p.71 / Chapter 6 --- Shape-based Chinese Cursive Script Character Image Retrieval System --- p.72 / Chapter 6.1 --- Comparison to Trademark Retrieval Problem --- p.79 / Chapter 6.1.1 --- Feature Selection --- p.73 / Chapter 6.1.2 --- Speed of System --- p.73 / Chapter 6.1.3 --- Variation of Style --- p.73 / Chapter 6.2 --- Target of the Research --- p.74 / Chapter 6.3 --- Proposed Solution --- p.75 / Chapter 6.3.1 --- Image Preprocessing --- p.75 / Chapter 6.3.2 --- Automatic Feature Extraction --- p.76 / Chapter 6.3.3 --- Thinned Image and Linearly Normalized Image --- p.76 / Chapter 6.3.4 --- Edge Directions --- p.77 / Chapter 6.3.5 --- Integration of Shape Features --- p.78 / Chapter 6.4 --- Experimental Results --- p.79 / Chapter 6.4.1 --- Experiment 8: Weight Assignment using Genetic Algorithm --- p.79 / Chapter 6.4.2 --- Experiment 9: Speed on Feature Extraction and Retrieval --- p.81 / Chapter 6.4.3 --- Experiment 10: Evaluation by Recall for Deformed Images --- p.82 / Chapter 6.4.4 --- Experiment 11: Evaluation by Recall for Rotated and Scaled Images --- p.83 / Chapter 6.4.5 --- Experiment 12: Comparison of Different Integration Methods --- p.85 / Chapter 6.5 --- Chapter Summary --- p.87 / Chapter 7 --- Conclusion --- p.88 / Chapter 7.1 --- Summary --- p.88 / Chapter 7.2 --- Future Research --- p.89 / Chapter 7.2.1 --- Limitations --- p.89 / Chapter 7.2.2 --- Future Directions --- p.90 / Chapter A --- A Representative Subset of Trademark Images --- p.91 / Chapter B --- A Representative Subset of Cursive Script Character Images --- p.93 / Chapter C --- Shape Feature Extraction Toolbox for Matlab V53 --- p.95 / Chapter C.l --- central .moment --- p.95 / Chapter C.2 --- centroid --- p.96 / Chapter C.3 --- cir --- p.96 / Chapter C.4 --- ess --- p.97 / Chapter C.5 --- css_match --- p.100 / Chapter C.6 --- ecc --- p.102 / Chapter C.7 --- edge一directions --- p.102 / Chapter C.8 --- fourier-d --- p.105 / Chapter C.9 --- gen_shape --- p.106 / Chapter C.10 --- hu7 --- p.108 / Chapter C.11 --- isclockwise --- p.109 / Chapter C.12 --- moment --- p.110 / Chapter C.13 --- normalized-moment --- p.111 / Chapter C.14 --- orientation --- p.111 / Chapter C.15 --- resample-pts --- p.112 / Chapter C.16 --- rectangularity --- p.113 / Chapter C.17 --- trace-points --- p.114 / Chapter C.18 --- warp-conv --- p.115 / Bibliography --- p.117
693

ADVISE: advanced digital video information segmentation engine.

January 2002 (has links)
by Chung-Wing Ng. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2002. / Includes bibliographical references (leaves 100-107). / Abstracts in English and Chinese. / Abstract --- p.ii / Acknowledgment --- p.vi / Table of Contents --- p.vii / List of Tables --- p.x / List of Figures --- p.xi / Chapter Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Image-based Video Description --- p.2 / Chapter 1.2 --- Video Summary --- p.5 / Chapter 1.3 --- Video Matching --- p.6 / Chapter 1.4 --- Contributions --- p.7 / Chapter 1.5 --- Outline of Thesis --- p.8 / Chapter Chapter 2 --- Literature Review --- p.10 / Chapter 2.1 --- Video Retrieval in Digital Video Libraries --- p.11 / Chapter 2.1.1 --- The VISION Project --- p.11 / Chapter 2.1.2 --- The INFORMEDIA Project --- p.12 / Chapter 2.1.3 --- Discussion --- p.13 / Chapter 2.2 --- Video Structuring --- p.14 / Chapter 2.2.1 --- Video Segmentation --- p.16 / Chapter 2.2.2 --- Color histogram Extraction --- p.17 / Chapter 2.2.3 --- Further Structuring --- p.18 / Chapter 2.3 --- XML Technologies --- p.19 / Chapter 2.3.1 --- XML Syntax --- p.20 / Chapter 2.3.2 --- "Document Type Definition, DTD" --- p.21 / Chapter 2.3.3 --- "Extensible Stylesheet Language, XSL" --- p.21 / Chapter 2.4 --- SMIL Technology --- p.22 / Chapter 2.4.1 --- SMIL Syntax --- p.23 / Chapter 2.4.2 --- Model of SMIL Applications --- p.23 / Chapter Chapter 3 --- Overview of ADVISE --- p.25 / Chapter 3.1 --- Objectives --- p.26 / Chapter 3.2 --- System Architecture --- p.26 / Chapter 3.2.1 --- Video Preprocessing Module --- p.26 / Chapter 3.2.2 --- Web-based Video Retrieval Module --- p.30 / Chapter 3.2.3 --- Video Streaming Server --- p.34 / Chapter 3.3 --- Summary --- p.35 / Chapter Chapter 4 --- Construction of Video Table-of-Contents (V-ToC) --- p.36 / Chapter 4.1 --- Video Structuring --- p.37 / Chapter 4.1.1 --- Terms and Definitions --- p.37 / Chapter 4.1.2 --- Regional Color Histograms --- p.39 / Chapter 4.1.3 --- Video Shot Boundaries Detection --- p.43 / Chapter 4.1.4 --- Video Groups Formation --- p.47 / Chapter 4.1.5 --- Video Scenes Formation --- p.50 / Chapter 4.2 --- Storage and Presentation --- p.53 / Chapter 4.2.1 --- Definition of XML Video Structure --- p.54 / Chapter 4.2.2 --- V-ToC Presentation Using XSL --- p.55 / Chapter 4.3 --- Evaluation of Video Structure --- p.58 / Chapter Chapter 5 --- Video Summarization --- p.62 / Chapter 5.1 --- Terms and Definitions --- p.64 / Chapter 5.2 --- Video Features Used for Summarization --- p.65 / Chapter 5.3 --- Video Summarization Algorithm --- p.67 / Chapter 5.3.1 --- Combining Extracted Video Segments --- p.68 / Chapter 5.3.2 --- Scoring the Extracted Video Segments --- p.69 / Chapter 5.3.3 --- Selecting Extracted Video Segments --- p.70 / Chapter 5.3.4 --- Refining the Selection Result --- p.71 / Chapter 5.4 --- Video Summary in SMIL --- p.74 / Chapter 5.5 --- Evaluations --- p.76 / Chapter 5.5.1 --- Experiment 1: Percentages of Features Extracted --- p.76 / Chapter 5.5.2 --- Experiment 2: Evaluation of the Refinement Process --- p.78 / Chapter Chapter 6 --- Video Matching Using V-ToC --- p.80 / Chapter 6.1 --- Terms and Definitions --- p.81 / Chapter 6.2 --- Video Features Used for Matching --- p.82 / Chapter 6.3 --- Non-ordered Tree Matching Algorithm --- p.83 / Chapter 6.4 --- Ordered Tree Matching Algorithms --- p.87 / Chapter 6.5 --- Evaluation of Video Matching --- p.91 / Chapter 6.5.1 --- Applying Non-ordered Tree Matching --- p.92 / Chapter 6.5.2 --- Applying Ordered Tree Matching --- p.94 / Chapter Chapter 7 --- Conclusion --- p.96 / Bibliography --- p.100
694

Formal specification of a specification library

Atreya, Sriram K January 1982 (has links)
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1982. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING / Bibliography: leaves 101-103. / by Sriram K. Atreya. / M.S.
695

N-ary level in the software test vehicle for the Infoplex database computer

Lui, David January 1982 (has links)
Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1982. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING / Includes bibliographical references. / by David Lui. / B.S.
696

A garbage-collecting associative memory for database systems

Ross, Richard Alan January 1982 (has links)
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1982. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Bibliography: leaves 64-66. / by Richard Alan Ross. / M.S.
697

3D object retrieval and recognition. / Three-dimensional object retrieval and recognition

January 2010 (has links)
Gong, Boqing. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2010. / Includes bibliographical references (p. 53-59). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- 3D Object Representation --- p.1 / Chapter 1.1.1 --- Polygon Mesh --- p.2 / Chapter 1.1.2 --- Voxel --- p.2 / Chapter 1.1.3 --- Range Image --- p.3 / Chapter 1.2 --- Content-Based 3D Object Retrieval --- p.3 / Chapter 1.3 --- 3D Facial Expression Recognition --- p.4 / Chapter 1.4 --- Contributions --- p.5 / Chapter 2 --- 3D Object Retrieval --- p.6 / Chapter 2.1 --- A Conceptual Framework for 3D Object Retrieval --- p.6 / Chapter 2.1.1 --- Query Formulation and User Interface --- p.7 / Chapter 2.1.2 --- Canonical Coordinate Normalization --- p.8 / Chapter 2.1.3 --- Representations of 3D Objects --- p.10 / Chapter 2.1.4 --- Performance Evaluation --- p.11 / Chapter 2.2 --- Public Databases --- p.13 / Chapter 2.2.1 --- Databases of Generic 3D Objects --- p.14 / Chapter 2.2.2 --- A Database of Articulated Objects --- p.15 / Chapter 2.2.3 --- Domain-Specific Databases --- p.15 / Chapter 2.2.4 --- Data Sets for the Shrec Contest --- p.16 / Chapter 2.3 --- Experimental Systems --- p.16 / Chapter 2.4 --- Challenges in 3D Object Retrieval --- p.17 / Chapter 3 --- Boosting 3D Object Retrieval by Object Flexibility --- p.19 / Chapter 3.1 --- Related Work --- p.19 / Chapter 3.2 --- Object Flexibility --- p.21 / Chapter 3.2.1 --- Definition --- p.21 / Chapter 3.2.2 --- Computation of the Flexibility --- p.22 / Chapter 3.3 --- A Flexibility Descriptor for 3D Object Retrieval --- p.24 / Chapter 3.4 --- Enhancing Existing Methods --- p.25 / Chapter 3.5 --- Experiments --- p.26 / Chapter 3.5.1 --- Retrieving Articulated Objects --- p.26 / Chapter 3.5.2 --- Retrieving Generic Objects --- p.27 / Chapter 3.5.3 --- Experiments on Larger Databases --- p.28 / Chapter 3.5.4 --- Comparison of Times for Feature Extraction --- p.31 / Chapter 3.6 --- Conclusions & Analysis --- p.31 / Chapter 4 --- 3D Object Retrieval with Referent Objects --- p.32 / Chapter 4.1 --- 3D Object Retrieval with Prior --- p.32 / Chapter 4.2 --- 3D Object Retrieval with Referent Objects --- p.34 / Chapter 4.2.1 --- Natural and Man-made 3D Object Classification --- p.35 / Chapter 4.2.2 --- Inferring Priors Using 3D Object Classifier --- p.36 / Chapter 4.2.3 --- Reducing False Positives --- p.37 / Chapter 4.3 --- Conclusions and Future Work --- p.38 / Chapter 5 --- 3D Facial Expression Recognition --- p.39 / Chapter 5.1 --- Introduction --- p.39 / Chapter 5.2 --- Separation of BFSC and ESC --- p.43 / Chapter 5.2.1 --- 3D Face Alignment --- p.43 / Chapter 5.2.2 --- Estimation of BFSC --- p.44 / Chapter 5.3 --- Expressional Regions and an Expression Descriptor --- p.45 / Chapter 5.4 --- Experiments --- p.47 / Chapter 5.4.1 --- Testing the Ratio of Preserved Energy in the BFSC Estimation --- p.47 / Chapter 5.4.2 --- Comparison with Related Work --- p.48 / Chapter 5.5 --- Conclusions --- p.50 / Chapter 6 --- Conclusions --- p.51 / Bibliography --- p.53
698

An investigation of the use of object-oriented models in requirements engineering practice

Dawson, Linda Louise, 1954- January 2001 (has links)
Abstract not available
699

A Web-Based Approach to the Integration of Diverse Data Sources for GIS

Shea, Geoffrey Yu Kai, Surveying & Spatial Information Systems, Faculty of Engineering, UNSW January 2001 (has links)
The rigorous developments of GIS over the past decades have enabled application developers to create powerful systems that are used to facilitate the management of spatial data. Unfortunately, each one of these systems is specific to a local service, with little or no interconnection with services in other locales. This makes it virtually impossible to perform dynamic and interactive GIS operations across multiple locales which have similar or dissimilar system configurations. The Spatial Data Transfer Standard (SDTS) resolved the problems partially by offering excellent conceptual and logical abstraction model for data exchange. Recent advancements of the Internet enlightened the GIS community as to the realization of an ideal concept of information interchange. A suite of new technologies that embraces Extensible Markup Language (XML), Scalable Vector Graphics (SVG), Portable Network Graphics (PNG) and Java creates a powerful and new perspective that can be applied to all phases of online GIS system development. The online GIS is a Web-based approach to integrating diverse spatial data sources for GIS applications. To address the spatial data integration options and implications related to the Web-based approach the investigation was undertaken in 5 phases: (1) Determine the mapping requirements of graphic and non-graphic spatial data for online GIS application; (2) Analyze the requirements of spatial data integration for online environments; (3) Investigate a suitable method for integrating different formats of spatial data; (4) Study the feasibility and applicability of setting up the online GIS; and (5) Develop a prototype for online sharing of teaching resources. Resulting from the critical review on current Internet technology, a conceptual framework for spatial data integration was proposed. This framework was based on the emerging Internet technology on XML, SVG, PNG, and Java. It was comprised of four loosely coupled modules, namely, Application Interface, Presentation, Integrator, and Data module. This loosely coupled framework provides an environment that will be independent of the underlying GIS data structure and makes it easy to change or update the system as a new task or knowledge is acquired. A feasibility study was conducted to test the applicability for the proposed conceptual framework. A detailed user requirements and system specification was thus devised from the feasibility study. These user requirements and system specification provided some guidelines for online GIS application development. They were expressed specifically in terms of six aspects: (1) User; (2) Teaching resources management; (3) Data; (4) Cartography; (5) Functions; and (6) Software development configuration. A prototype system based on some of the devised system specifications was developed. In the prototype software design, the architecture of a Three-Tier Client-Server computing model was adopted. Due to the inadequacy of native support for SVG and PNG in all currently available Web browsers, the prototype was thus implemented in HTML, Java and vendor specific vector format. The prototype demonstrated how teaching resources from a variety of sources and format (including map data and non-map resources) were integrated and shared. The implementation of the prototype revealed that the Web is still an ideal medium for providing wider accessibility of geographical information to a larger number of users through a corporate intranet or the Internet cost-effectively. The investigation concluded that current WWW technology is limited in its capability for spatial data integration and delivering online functionality. However, developing of XML-based GIS data model and graphic standards SVG and PNG for structuring and transferring spatial data on the Internet appear to be providing solutions to the current limitations. It is believed that the ideal world where everyone retrieving spatial information contextually through a Web browser disregarding the information format and location will eventually become true.
700

An exploratory study of an intranet dashboard in a multi-state healthcare system

Wolpin, Seth E. 07 November 2003 (has links)
Introduction: Management of complex systems is facilitated through effective information systems that provide real-time data to decision makers. For example, instrument panels in airplanes ensure that pilots have well-designed feedback concerning the status of mission-critical variables. Problem: While pilots have dashboards for feedback and communication, healthcare executives may be unaware of effective use of evidence-based guidelines within their healthcare system. Purpose: The first objective of this research was to design and implement an automated intranet dashboard reporting performance measures for a geographically dispersed health system. The second objective was to describe how this dashboard might increase cooperation and coordination for individuals and organizations involved with healthcare delivery. Design: This research was exploratory in nature, employing descriptive research approaches. A convenience sample of healthcare executives completed a baseline survey at the start of the study assessing levels of communication and cooperation. After three months of exposure to the dashboard, participants were asked to complete a follow-up survey. All visits to the dashboard were recorded in a web server log file. Semistructured qualitative exit interviews were also conducted to explore reactions to the dashboard, experiences with receiving outcome reports, and barriers to communicating and coordinating with counterparts. Results: Descriptive analysis of paired survey scores found substantial increases on a number of survey items, suggesting that the dashboard contributes toward increased communication and coordination for healthcare executives. This finding is balanced by the limited rigor in the research design and an analysis of the web server log file, which found few visitations to the dashboard by research participants. Qualitative data analysis suggests that current reporting mechanisms are suboptimal for healthcare executives and that one solution is the use of dashboards. Conclusion: This study resulted in a number of important discoveries and avenues for further research. A more rigorous research design is needed to explore the role of intranet dashboards in healthcare settings. / Graduation date: 2004

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