論文專著:
在國內外核心雜志上發(fā)表神經網絡、圖像和視頻編碼、圖像處理、模式識別等方面的論文150多篇,至2010年6月的查詢, 其中已被SCI檢索的為57篇,被EI檢索的(與SCI有重復)為100多篇,出版專著2本,合著3本。
出版專著:
1.人工神經網絡模型及其應用 復旦出版社出版 1993
2.神經智能-認知科學中若干重大問題的研究湖南科學技術出版社 1997
3.分形與圖象壓縮 上?萍冀逃霭嫔 1998
4.智能視覺圖象處理 上?萍冀逃霭嫔 2003
5. Selective visual attention: computational model and applications, John Wiley &Sons出版公司,(預計2012年出版)
發(fā)表論文:
2003-2010年 國外SCI檢索的重要雜志論文(打*為學生):
1. Guo CL*, Zhang LM, “A Novel Multi-resolution Spatio-temporal Saliency Detection Model and Its Applications in Image and Video Compression” IEEE Trans on Image Processing, Vol.19, No.1, pp.195-198, 2010 (SCI,EI)
2. Ma Q, Zhang LM,Wang Bin, “New strategy for image and video quality assessment”, Journal of Electronic Imaging 19(1), 011019, 2010(SCI,EI)
3. Chen DY*, Zhang LM, Weng JY, “Spatio-Temporal Adaptation in the Unsupervised Development of Networked Visual Neurons”, IEEE Trans on Neural Networks, Vol.20, No.6, p.992-1008, 2009(SCI,EI)
4. Tao XT*, Wang B, Zhang LM ,“Orthogonal Bases Approach for the Decomposition of Mixed Pixels in Hyperspectral Imagery”, IEEE Geoscience and Remote Sensing Letters, Vol.6, No.2, pp.219-223,2009( SCI,EI)
5. Jiang JY*, Zhang LM, Furukawa T, “A class density approximation neural network for improving the generalization of Fisherface”, Neurocomputing, Vo.71, No.16-18, Sp. Iss. SI, pp.3239-3246, 2008(SCI,EI)
6. Liu LF*, Wang B, Zhang LM, “Decomposition of mixed pixels based on bayesian self-organizing map and Gaussian mixture model”, Pattern Recognition Letters, Vol.30, No.9, Sp. Iss. SI, pp.820-826,2007(SCI,EI)
7. Ge ZR*, Wang B, Zhang LM,“Remote Sensing Image Fusion Based on Bayesian Linear Estimation”, Science In China Series F-Information Sciences (English version), Vol.50, No.2, Vol.50, No.2, pp.227-240, 2007 (SCI)
8. Huang XM*, Wang B, Zhang LM, “A New Scheme for Extraction of Affine Invariant Descriptor and Affine Motion Estimation Based on Independent Component Analysis”, Pattern Recognition Letters, Vol.26, No.9, pp.1244-1255, 2005 (SCI,EI)
9. Zhou H*, Wang B, Zhang LM,“New Scheme for Decomposition of Mixed Pixels of Remote Sensing Images”, Journal of Infrared And Millimeter Waves, Vol.24, No.6, pp.692-698,2005 (In Chinese) (SCI,EI)
10. Gu XD, Yu DH, Zhang LM, “Image Shadow Removal Using Pulse Coupled Neural Network”,IEEE Trans on Neural Networks, Vol.16, No.3, pp.692-698,2005(SCI,EI)
11. Zhou DM*, Cao JD, Zhang LM,“Global Asymptotic Stability Conditions Of Delayed Neural Networks”,Applied Mathematics and Mechanics-English Edition, Vol.26, No.3,2005(SCI,EI)
12. Yu B*, Zhang LM, “Pulse-Coupled Neural Networks for Contour And Motion Matchings” , IEEE Trans on Neural Networks, Vol.15, No.5, pp.1186-1201, 2004(SCI,EI)
13. Hu J*, Ding WQ*, Zhang LM, “Research on a Novel 3D-DWT-SPIHT Coding by Alternate Groups of Original and Residual Error Frame”, Journal of Infrared And Millimeter Waves, Vol.23, No.4, pp265-270, 2004. (In Chinese)(SCI,EI)
14. Gu XD*, Yu DH, Zhang LM, “Image Thinning Using Pulse Coupled Neural Network”, Pattern Recognition Letters Vol. 25, No.9, pp.1075-1084,2004(SCI,EI)
15. Wang HC*, Zhang LM, “Linear Generalization Probe Samples for Face Recognition”, Pattern Recognition Letters Vol. 25, No.8, pp.829-840,2004(SCI,EI)
16. Zhou DM*, Zhang LM, Cao J, “On Global Exponential Stability of Cellular Neural Networks With Lipschitz-Continuous Activation Function and Variable Delays”, Applied Mathematics and Computation, No.151, No. 2, pp.379-392,2004(SCI,EI)
17. Pan FZ*, Zhang LM, “New Image Super-Resolution Scheme Based On Residual Error Restoration By Neural Networks”, Optical Engineering, Vol.42, No.10, pp3038-3046,2003(SCI,EI)
18. Wang B, Zhang LM, “Automated Removal of Ghost Noise From SAR Images Using Wavelet Packet Transform”, IEEE Trans on Geoscience and Remote Sensing, Vol.41, No.10, pp.2409-2414(SCI,EI)
19. Dai XL*, Min H, Zhang LM,“Discrete Cosine Transform Coefficients Based Scan Format Conversion”,Imaging Science Journal, Vol.51, No. 2, pp.99-109, 2003(SCI,EI)
20. Zhang LM, Mei JF*“Shaping Up Simple Cell's Receptive Field Of Animal Vision By ICA and Its Application in Navigation System”, Neural Networks, Vol.16, No.5-6, pp.609-615, 2003(SCI,EI)
21. Dai TR*, Zhang LM,“An Improved Image Enhancement Algorithm by Nonlinear Extrapolation in Frequency Space and The Application to High Resolution Image Reconstruction”,Journal of Infrared And Millimeter Waves, Vol.22, No.1, pp197-202, 2003. (In Chinese) (SCI,EI)
22. Ding PL*, Zhang LM,“ICA Feature Extract Ion-Framework and Application”, Chinese Journal of Electronics (English version), Vol.12,No.1, pp106-110, 2003 (SCI,EI)
2004-2010 年的國際會議論文 (選)(打*為學生):
1. Bian Peng*, Zhang Liming, “Biologically Plausibility of Spectral Domain Approach for Spatiotemporal Visual Saliency”, Proceedings of ICONIP2008 (New Zealand), Lecture Notes in Computer Science LNCS Vol. 5506, in PART 1, p 251-258, 2009 (EI)
2. Zhang Liming, “Vision attention learning model and its application in robot”, Proceedings of 2009 7th Asian Control Conference, ASCC 2009, p 970-975, 2009(EI)
3. Yu, Ying* , Wang, Bin; Zhang, Liming, “Hebbian-based neural networks for bottom-up visual attention systems”Lecture Notes in Computer Science v 5863 LNCS, n PART 1, p 1-9, 2009, ICONIP 2009, Proceedings(EI)
4. Yu, Ying*,Wang, Bin; Zhang, Liming, “Pulse discrete cosine transform for saliency-based visual attention” 2009 IEEE 8th International Conference on Development and Learning, ICDL 2009, 2009, 2009 IEEE 8th International Conference on Development and Learning, ICDL 2009 (EI)
5. Wang, Linlu* Gu, Xiaodong; Wang, Yuanyuan; Zhang, Liming “Happy-sad expression recognition using emotion geometry feature and support vector machine”Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 5507 LNCS, n PART 2, p 535-542, 2009 (EI)
6. Ma Qi*, Zhang Liming, “Image quality assessment with visual attention”, Proceedings of the 19th International Conference on Pattern Recognition (ICPR2008), pp. 2783-2786, 2008 (Tampa, FL)(EI)
7. Guan P*, Zhang LM , “3d Face Recognition Based on Facial Structural Angle and Local Region Map”, 2008 IEEE International Conference on Multimedia and Expo, Vols 1-4 pp. 41-44,2008 (Hannover, Germany)(EI)
8. Ma Q*, Zhang LM, “Saliency-Based Image Quality Assessment Criterion” , 4th International Conference on Intelligent Computing, Lecture Notes in Computer Science , Vol. 5226, pp.1124-1133,2008 (Shanghai, China)(EI)
9. Guo CL*, Ma Q*, Zhang LM, “Spatio-Temporal Saliency Detection Using Phase Spectrum of Quaternion Fourier Transform” , Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2908-2915, 2008(Anchorage, AK, USA)(EI)
10. Wu WY*, Zhang LM, “A New Method of Solving Permutation Problem in Blind Source Separation for Convolutive Acoustic Signals in Frequency-Domain”, Proceedings of IEEE International Joint Conference on Neural Networks (IJCNN) pp. 1237-1242 , 2007 (Orlando, FL, USA)(EI)
11. Guo CL*, Zhang LM “An attention selection model with visual memory and online learning”, Proceedings of IEEE International Joint Conference on Neural Networks (IJCNN) pp. 1295-1301 , 2007 (Orlando, FL, USA)(EI)
12. Guan P*, Yu YL*, Zhang LM “A Novel Facial Feature Point Localization Method on 3D Faces”, IEEE International Conference on Image (ICIP)Processing, Vols 1-7, Pp.1197-1200, 2007 (San Antonio, TX, USA) (EI)
13. Guo, Chenlei*; Zhang, Liming “An attention selection system based on neural network and its application in tracking objects” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 3972 LNCS, p 404-410, 2006, Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings - Part II (EI,SCI)
14. Gu, Xiaodong Wang, Yuanyuan; Zhang, Liming “Object detection using unit-linking PCNN image icons” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 3972 LNCS, p 616-622, 2006, Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings - Part II (EI, SCI)
15. Jiang, Jiayan* Zhang, Liming “Extending manifold leaning algorithms by neural networks” IEEE International Conference on Neural Networks - Conference Proceedings, p 1347-1353, 2006, International Joint Conference on Neural Networks 2006, IJCNN '06 (EI, SCI)
16. Jiang, Jiayan*; Zhang, Liming; Furukawa, Tetsuo “Improving the generalization of fisherface by training class selection using SOM2 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 4233 LNCS - II, p 278-285, 2006, Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings (EI,SCI)
17. Ge ZR*, Wang B, Zhang LM “A new scheme for fusion of multispectral and panchromatic images based on residual error ” LECTURE NOTES IN COMPUTER SCIENCE 3497: 759-764 2005 (SCI,EI )
18. Zhou H*, Wang B, Zhang LM “A new scheme for blind decomposition of mixed pixels based on non-negative matrix factorization” LECTURE NOTES IN COMPUTER SCIENCE 3497: 651-658 2005 (SCI, EI)
19. Gu XD, Zhang LM “Global icons and local icons of images based unit-linking PCNN and their application to robot navigation “, LECTURE NOTES IN COMPUTER SCIENCE 3497: 836-841 2005 (SCI, EI )
20. Chen DY*, Lu XD*, Zhang LM “Fisher subspace tree classifier based on neural networks “, LECTURE NOTES IN COMPUTER SCIENCE 3497: 14-19 2005 (SCI, EI)
21. Gao Y*, Lu XD*, Zhang LM “A neural network based on biological vision learning and its application on robot “, LECTURE NOTES IN COMPUTER SCIENCE 3498: 198-203 2005 (SCI, EI)
22. Hao Zhou*, Bin Wang, Liming Zhang, “ A new sceme for Detection and Classification of Subpixel Spectral Signatures in Multispectral Data” , Advances in Neural networks-ISNN2004, Lecture Notes in Computer Science, Vol. 3174, 2004, pp.331-336 (SCI )
23. Hu,J*.;Ding,W.Q*.;Zhang,L.M. “High Perfomance Video Compression Based On Improved Vspiht Algorithm”, Proceedings of International Conference On Signal Processing(ICSP'04), Vol.2, 2004, pp. 1199~1202 (EI )
24. Guo H*, Jiang JY*, Zhang LM “Building a 3D morphable face model by using thin plate splines for face reconstruction” LECTURE NOTES IN COMPUTER SCIENCE 3338: 258-267 2004 (SCI)
25. Yang Daiming*, Zhang Liming”Linear orthogonal dispersive codes for MIMO system” Proc. Of IEEE 6th Circuit and system symposium on Emerging Technologies: Frontiers of Mobile and wireless communication. Vol.2, pp583-586, 2004 (EI)
26. Xiaodong Gu, Liming Zhang, Daoheng Yu, “Simplidied PCNN and Its Periodic Solutions”, Advances in Neural networks-ISNN 2004, Lecture Notes in Computer Science, Vol. 3173, 2004, pp.26-31(SCI)
27. Xiaodong Gu, Liming Zhang, Daoheng Yu, “ Delay PCNN and Its Application for Optimization”, Advances in Neural networks-ISNN2004, Lecture Notes in Computer Science,2004, Vol. 3173, pp.413-418 (SCI )
28. Xuming Huang*, Chengming Liu*, Liming Zhang, “Study on Object Recognition Based on Independent Component Analysis”, Advances in Neural networks-ISNN2004, Lecture Notes in Computer Science, Vol. 3173, 2004, pp.720-725 (SCI)
29. Liming Zhang, Xuming Huang*, “ New Applications for Object Recognotion and Affine Motion Estimation by Independent Component Analysis”, Intelligent Data Engineering and Automated learning IDEAL2004, Vol.3177. 2004, pp.600-606 (SCI)
30. Gu,X.D. , Zhang,L.M.“Morphology Open Opreation In Unit-Linking Pulse Coupled Neural For Image Processing”,Proceedings of International Conference On Signal Processing(ICSP'04), Vol.2, 2004, pp. 1597~160(EI)
31. Bin N*, Xiong C, Zhang LM, et al.”Recurrent neural network for robot path planning”, LECTURE NOTES IN COMPUTER SCIENCE 3320: 188-191 2004 (SCI)
2000-2010年 國內重要雜志論文(打*為學生):
1. 基于Contourlet變換的三維人耳提取 陳雷蕾*; 王斌; 張立明 復旦學報(自然科學版) 2009-02-15
2. 基于數據空間正交基的遙感圖像混合像元分解新方法 陶雪濤*; 王斌; 張立明 中國科學(F輯:信息科學) 2009-04-15 (SCI)
3. 腦磁圖神經活動源數目的估計 蔣辰偉*; 王斌; 張立明 生物物理學報 2009-06-15
4. 快速注意力選擇計算及其在圖像質量評價中的應用 馬奇*; 張立明 計算機輔助設計與圖形學學報 2009-07-15 (EI)
5. 快速三維人耳提取與識別 陳雷蕾*; 王斌; 張立明 計算機輔助設計與圖形學學報 2009-10-15 (EI)
6. 一種面向數據學習的快速PCA算法 余映*; 王斌; 張立明 模式識別與人工智能 2009-08-15 (EI)
7. 帶有遺忘的視覺記憶模型及其在注意力選擇上的應用 過晨雷*; 張立明 模式識別與人工智能 2008-06-15 (EI)
8. 正交MFA和不相關MFA 于耀亮*; 張立明 模式識別與人工智能 2008-10-15 (EI)
9. 解卷積混合語音頻域盲分離的次序問題新方法 吳文妍*; 張立明 數據采集與處理 2008-11-15
10. 基于貝賽爾曲面的三維人臉特征點定位方法 關鵬*; 張立明 復旦學報(自然科學版) 2008-02-15
11. 一種基于非降采樣Contourlet變換的遙感圖像融合方法 黃海東*; 王斌; 張立明 復旦學報(自然科學版) 2008-02-15
12. 一種新的距離測度學習算法 于耀亮*; 姜嘉言*; 張立明 信息與電子工程 2008-04-25
13. 模擬昆蟲視覺-行為抉擇的強化學習模型 馬奇*; 張立明 生物物理學報 2008-06-15
14. 基于粒子群優(yōu)化算法的腦磁圖源定位 蔣辰偉*; 王斌; 張立明 生物物理學報 2008-08-15
15. 基于自組織映射和模糊隸屬度的混合像元分解 劉力帆*; 王斌; 張立明 計算機輔助設計與圖形學學報 2008-10-15 (EI)
16. 改進的非負獨立分量分析法 周昊*; 王斌; 張立明 數據采集與處理 2007-03-30 (EI)
17. 一種基于殘差的遙感圖像融合新方法 葛志榮*; 王斌; 張立明 中國圖象圖形學報 2007-01-30
18. 基于二階C_0復雜度的癲癇發(fā)作預測 卞寧艷*; 曹洋; 王斌; 顧凡及; 張立明 生物物理學報 2007-02-28
19. 改進的在線自然語音卷積混合信號時域盲分離方法 魯曉丹*; 張立明 數據采集與處理 2007-06-15(EI)
20. 一種基于圖像處理的鐵軌自動檢測方法 關鵬*; 顧曉東; 張立明 計算機工程 2007-10-05
21. 基于貝葉斯自組織映射和高斯混合模型的混合像元分解 劉力帆*; 王斌; 張立明 計算機輔助設計與圖形學學報 2007-11-15 (EI)
22. 用無需選取參數的Unit-linking PCNN進行自動圖像分割 顧曉東; 張立明; 余道衡 電路與系統(tǒng)學報 2007-12-15
23. 基于Bayes線性估計的遙感圖像融合 葛志榮*; 王斌; 張立明 中國科學(E輯:信息科學) 2007-04-15 (SCI)
24. 基于獨立元分析和非線性指數分析的腦電信號中偽跡分量的自動去除 卞寧艷*; 王斌; 曹洋; 張立明 生物物理學報 2006-04-30
25. 一種改進的人臉特征點定位方法 劉成明*; 張立明 復旦學報(自然科學版) 2006-08-30
26. 基于獨立元分析的腦磁圖源定位 馬潔銘*; 王斌; 張立明 生物物理學報 2006-10-30
27. SLAM問題中的模糊幾何地圖與頂點自定位法 陳東岳*; 張立明 控制理論與應用 2006-10-30 (EI)
28. 帶約束的卷積語音信號頻域盲分離方法 吳文妍*; 張立明 系統(tǒng)工程與電子技術 2006-11-30 (EI)
29. 基于混沌優(yōu)化算法的多信號分類腦磁圖源定位方法 馬潔銘*; 王斌; 張立明 生物物理學報 2005-10-30
30. 一種帶有實時視覺特征學習的自主發(fā)育機器人探索 高穎*; 陳東岳*; 張立明 復旦學報(自然科學版) 2005-12-25
31. 充分減小樹間冗余的優(yōu)化三維VSPIHT視頻編碼方法 丁文奇*; 胡佳*; 張立明 計算機輔助設計與圖形學學報 2005-03-20 (EI)
32. 時滯神經網絡全局漸近穩(wěn)定性條件 周冬明*; 曹進德; 張立明 應用數學和力學 2005-03-15 (SCI)
33. 用神經網絡恢復殘差的圖像超分辨率算法 潘逢治*; 張立明 電子學報 2004-01-25 (EI)
34. 神經網絡中將任務學習與模型學習相結合的E-H和E-H-W學習方法 武妍; 張立明 電子學報 2004-02-25 (EI)
35. 基于推廣的長程外力場的庫侖Snake算法應用于MR心室圖像的分割 王蓓*; 張立明 復旦學報(自然科學版) 2004-02-25
36. 一種新的Adaboost快速訓練算法 王海川*; 張立明 復旦學報(自然科學版) 2004-02-25
37. GVF場的多層細胞神經網絡實現(xiàn)及其在圖像分割中的應用 黃旭明*; 周冬明*; 張立明 復旦學報(自然科學版) 2004-02-25
38. 基于獨立元分析的扭曲目標識別 黃旭明*; 張立明 系統(tǒng)工程與電子技術 2004-04-20 (EI)
39. 運用獨立元分析的仿射運動估計算法 黃旭明*; 張奇峰*; 張立明 計算機輔助設計與圖形學學報 2004-06-20 (EI)
40. 一定條件下PCNN動態(tài)行為的分析 顧曉東; 張立明; 余道衡 計算機工程與應用 2004-07-01
41. PCNN與數學形態(tài)學在圖像處理中的等價關系 顧曉東; 張立明 計算機輔助設計與圖形學學報 2004-08-20 (EI)
42. 時延PCNN及其用于求解最短路徑 顧曉東; 余道衡; 張立明 電子學報 2004-09-25 (EI)
43. 一種基于獨立元分析的仿射不變描述和仿射變換參數估計的新方法 黃旭明*; 王斌; 張立明 電子學報 2004-12-25 (EI)
44. 多輸入多輸出衰落信道的最小互信息盲均衡 楊代明*; 張立明; 胡波 電子學報 2004-12-25 (EI)
45. 一種基于迭代低通濾波相位去卷繞的擴展兩點Dixon算法 戴天榮*; 張立明 復旦學報(自然科學版) 2003-02-25
46. 利用圖像先驗知識與Snake結合對心臟序列圖像的分割 王蓓*; 張立明 復旦學報(自然科學版) 2003-02-25
47. 一種新的視覺皮層簡單細胞工作機制的模型 梅劍鋒*; 張立明 生物物理學報 2003-03-30
48. 基于獨立元分析的MEG(腦磁圖)數據分析和處理 王斌; 張立明 生物物理學報 2003-06-30
49. 用通道補償提高多通道語音系統(tǒng)識別率的新方法 丁佩律*; 王海川*; 張立明 模式識別與人工智能 2003-09-15 (EI)
50. 從多幀低分辨率圖像序列中獲取高分辨率圖像的算法研究 邵凌*; 丁佩律*; 張立明; 胡波 電子學報 2002-01-25(EI)
51. 短時離散Walsh變換的快速算法 潘逢治*; 張立明 復旦學報(自然科學版) 2002-04-25
52. 重建高分辨率圖像的實時串行迭代算法 邵凌*; 丁佩律*; 張立明; 胡波 紅外與毫米波學報 2002-04-25 (SCI,EI)
53. 一種新的模糊規(guī)則動態(tài)調整正則項系數的神經網絡學習方法 武妍; 張立明 紅外與毫米波學報 2002-06-25 (SCI,EI)
54. 結合主分量分析及Fisher準則的說話人識別方法研究 丁佩律*; 張立明 電路與系統(tǒng)學報 2002-03-30
55. 基于DSP的小波編碼的快速算法及實現(xiàn) 康學雷*; 林哲民*; 張立明 復旦學報(自然科學版) 2001-02-28
56. 一種高效的抗誤碼能力強的圖像編碼方案 顧煒*; 胡波; 凌燮亭; 張立明 紅外與毫米波學報 2001-06-25 (SCI,EI)
57. 在小波域中進行圖像噪聲方差估計的EM方法 林哲民*; 康學雷*; 張立明 紅外與毫米波學報 2001-06-25 (SCI,EI)
58. 在變換域中用HMT圖像降噪的研究 林哲民*; 張立明; 丁佩律, 紅外與毫米波學報 2001-10-25(SCI,EI)
59. 基于獨立分量分析的人臉自動識別方法研究 丁佩律*; 梅劍鋒*; 張立明; 康學雷 紅外與毫米波學報 2001-10-25 (SCI,EI)
60. 一種基于膚色和模板的人臉檢測方法 康學雷*; 邵凌*; 張立明 紅外與毫米波學報 2000-06-25(SCI,EI)
61. 基于神經網絡的分形圖像編碼邊緣信息提取 陳鑫*; 張立明; 林濤 紅外與毫米波學報 2000-10-25 (SCI,EI)
62. 基于初級視覺皮層的同步振蕩目標檢測模型 余波*; 劉獻容*; 張立明 生物物理學報 2000-12-30
63. 一種基于通用DSP的快速余弦變換算法 邵凌*; 康學雷*; 馬勇*; 張立明; 胡波 系統(tǒng)工程與電子技術 2000-02-20 (EI)
64. 復雜背景下的人臉定位拍攝 康學雷*; 丁佩律*; 張立明; 系統(tǒng)工程與電子技術 2000-10-20 (EI)
65. 面向對象的神經網絡類庫 余波*; 龔鳴*; 張立明 高技術通訊 2000-07-28 (EI)