Thesis (MPhil (Modern Foreign Languages))--University of Stellenbosch, 2005. / In this thesis, I pinpoint the challenge of character learning as my research problem, which is the subsequent motivation to explain the background and rationale of my research. I also discuss the theoretical concepts of Computer Assisted Language Learning (CALL) in relation to cognitive psychology, the constructivist learning theory and Second Language Acquisition theories. This leads to the presentation of my considerations regarding design principles, strategic approach and other relevant decisions. The multimedia project I designed, named the “Chinese Character Challenger”, a “supplementary courseware for assisting students learning characters”, is an informational and educational-oriented website. It provides learners with the necessary knowledge, hints, tips and sources to cope with their specific learning problems and to achieve their learning potential. It also introduces external resources of learning if learners need further research. The purpose of the website is to assist, to motivate and to further guide students’ learning. To conclude, I have discussed some open issues with regards to adding value in the learning environment.

published_or_final_version / Computer Science / Doctoral / Doctor of Philosophy

published_or_final_version / abstract / Education / Doctoral / Doctor of Philosophy

published_or_final_version / Education / Master / Master of Science in Information Technology in Education

吳茂源. / 論文(哲學碩士) -- 香港中文大學硏究院中國語言及文學學部, 1996. / 參考文献 : leaves 123-137. / Wu Maoyuan. / 提要 --- p.III / Chapter 第一章 --- 引論 --- p.1 / Chapter 第二章 --- 司馬相如賦瑋字分類例說 --- p.26 / Chapter 第三章 --- 司馬相如賦瑋字變易孳乳管窺 --- p.45 / Chapter (一） --- 孳乳變易之定義 --- p.45 / Chapter (二） --- 司馬相如賦瑋字變易例說 --- p.50 / Chapter (三） --- 司馬相如賦瑋字孳乳例說 --- p.70 / Chapter 第四章 --- 總結 --- p.112 / 參攷書目 --- p.123 / 參攷書目 --- p.132 / 附錄： / 《子虛》《上林》賦瑋字字表之一 --- p.138 / 《子虛》《上林》賦瑋字字表之二 --- p.160 / 《子虛》《上林》賦瑋字字表之三 --- p.181 / 《子虛》《上林》賦瑋字字表之四一一一 --- p.186 / 《子虛》《上林》賦瑋字字表之四一一二 --- p.219 / 《子虛》《上林》賦瑋字字表之四一 一三 --- p.242 / 《哀二世》、《大人》、《長門》、《美人》四賦瑋字字表 --- p.252 / 前人對聯緜字的硏究 --- p.269

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

Mo, Deyuan. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2013. / Includes bibliographical references (leaves 153-167). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese; appendixes includes Chinese.

published_or_final_version / abstract / toc / Education / Master / Master of Education

published_or_final_version / abstract / toc / Education / Master / Master of Education

No description available.