Tài liệu IEEE(đọc kỹ bài đầu tiên trước khi gửi yêu cầu)

Mầu hình như là sắp xếp theo thứ tự Trắng - Đỏ - Đen - Vàng - Tím
Mỗi màu này thì lai đi cặp cùng với nhóm màu Dương - Cam - Lục - Nâu - Tro

Đã post thêm các t.liệu này cho bạn.
Bạn hãy làm lại cái list những tliệu còn lại giống như Ute đã làm nhé. Nếu kô mình kô thể theo dõi mà down đầy đủ đc đâu.
Gudluck!
nghichnham

@Ute: đã down 10 t.liệu đầu.
Thân
nghichnham

===============
Em cam on bac nghichnham nhieu ah, em da down dc cac bai bac post roi ah.
Em chuc bac Trung Thu vui ve !

Cám ơn anh nghichnham đã tận tình giúp đỡ. Nay a nghichnham download zúp mình files này nhé:
[1] Robust Gamma-Stable Controller Design for a Two-Degree-of-Freedom Robot Arm
Lemmer, L.; Kiss, B.;
[2] Learning based approach to the design of hierarchical hybrid fuzzy PID controllers
Homaifar, A.; Sayyarrodsari, B.; Nagle, J.C.;
[3] Time-optimal control of two-degree of freedom robot arms
Chen, Y.; Desrochers, A.A.;

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Đã upload các t.liệu trên.
@Ute: down đc thêm từ 10 đến 20 rồi đấy. T.liệu [10] và [20] kô tìm thấy.

@nghichnham:
Nhờ bác tìm hộ em cái này với ạh. Em xin cảm ơn.
1. Induced current switching by earthing switch in GIS ...2, has been taken as tested apparatus. High. speed earthing switch. is. the fast acting apparatus during. the closing operation with closing time of about ...
ieeexplore.ieee.org/iel5/7056/19030/00879692.pdf
2. A high-speed earthing switch in gas-insulated metal enclosed ...high-speed earthing switch is the fast-acting apparatus with. closing time of about 80 ms (from spring realizing moment to. the touching of contacts). ...
ieeexplore.ieee.org/iel5/61/20989/00974197.pdf?arnumber=974197
Bác giúp em nhé.

Chào anh nghichnham,em đang cần tài liệu về Vehicle Counting,mong anh giúp đỡ:
1/ Link:http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?isnumber=4298892&arnumber=4298908
Title: A Method for Vehicle Count in the Presence of Multiple-Vehicle Occlusions in Traffic Images
Pang, C. C. C. Lam, W. W. L. Yung, N. H. C.
Abstract:
his paper proposes a novel method for accurately counting the number of vehicles that are involved in multiple-vehicle occlusions, based on the resolvability of each occluded vehicle, as seen in a monocular traffic image sequence. Assuming that the occluded vehicles are segmented from the road background by a previously proposed vehicle segmentation method and that a deformable model is geometrically fitted onto the occluded vehicles, the proposed method first deduces the number of vertices per individual vehicle from the camera configuration. Second, a contour description model is utilized to describe the direction of the contour segments with respect to its vanishing points, from which individual contour description and vehicle count are determined. Third, it assigns a resolvability index to each occluded vehicle based on a resolvability model, from which each occluded vehicle model is resolved and the vehicle dimension is measured. The proposed method has been tested on 267 sets of real-world monocular traffic images containing 3074 vehicles with multiple-vehicle occlusions and is found to be 100% accurate in calculating vehicle count, in comparison with human inspection. By comparing the estimated dimensions of the resolved generalized deformable model of the vehicle with the actual dimensions published by the manufacturers, the root-mean-square error for width, length, and height estimations are found to be 48, 279, and 76 mm, respectively.
2/Link http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel3/4810/13413/00615877.pdf?arnumber=615877
Title:Congestion data acquisition using high resolution satellite imageryand frequency analysis techniques
Kyong-Ho Kim; Jong-Hun Lee; Bong Gyou Lee
Geoscience and Remote Sensing, 1997. IGARSS apos;97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Abstract:The purpose of this study is to examine a method of traffic congestion data collection using scanned high resolution panchromatic imagery acquired from satellite. The existing traffic monitoring systems including manual and automatic vehicle recording technologies have several limitations in terms of accuracy and spatial coverage ranges. In this paper, traffic information is achieved by frequency analysis techniques from the segmented bridge and/or road images. Especially, the study simulated digital images by fast Fourier transform (FFT) and applied the technique to different two cases in terms of un-clustered vehicles and clustered vehicles
Xin cảm ơn anh nhiều!
Được viero86 sửa chữa / chuyển vào 22:42 ngày 27/09/2007
Được viero86 sửa chữa / chuyển vào 22:48 ngày 27/09/2007

@nghichnham
Bác có thể hướng dẫn cách download trên server đc ko? Mình ko connect vào đc. Mình cần các tài liệu điện như bạn Kiều Minh An đã yêu cầu. Thanks for advance.
Email của mình là electmanbk@yahoo.com, mong sớm nhận được hồi âm của bạn.