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2007 IEEE International Symposium on Industrial Electronics, ISIE 2007

作者： Bogosyan, Seta Gokasan, Metin Turan, Ali Wies, Richard W. University of Alaska Fairbanks Electrical and Computer Engineering Dept. Duckering Building Fairbanks AK 99775 United States Istanbul Technical University Electrical and Electronics Eng. Faculty Maslak Istanbul 34469 Turkey

ISBN: (纸本)1424407559

This paper describes the development of remotely accessible electrical drive sets for hands-on education in electrical machinery, electrical drive and control courses as well as certain aspects of motion control and power electronics. The remote access is provided via the developed client-server communication method using the TCP/IP protocol to run the Matlab/Simulink compatible electrical drive sets operating on the remote server side. The developed method allows access to the robotics and electrical drive test-beds, namele permanent magnet DC (PMDC), permanent magnet synchronous (PMSM), and induction motor (IM) motor-load sets, developed for both on-site and remote use at the Control Laboratory in the university of Alaska Fairbanks (UAF). The client-server communication is developed in C/C++ using wxWidgets to communicate with the Matlab/Simulink downloadable DS1104, which is the control unit used in all the electrical drive systems in the lab. The UAF remote laboratory web site can be accessed at: http://***/ece/remote-lab. ©2007 IEEE.

关键词： Simulink

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Adaptation of navigation by the modified results of full scan algorithm in adaptive hypermedia systems

Adaptation of navigation by the modified results of full sca...

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10th International Conference on Information System Implementation and Modeling, ISIM 2007

作者： Bober, Marek Šaloun, Petr Dept. of Computer Science Faculty of Electrical Engineering and Computer Science VŠB-Technical University of Ostrava 17. listopadu 15/2172 708 33 Ostrava Czech Republic Department of Informatics and Computers Faculty of Science University of Ostrava 30. Dubna 22 703 01 Ostrava Czech Republic

Models of behavior mining from logs in adaptive systems are one from many methods how to obtain useful information for personalized navigation. Target of this paper is to describe modified results of full scan algorithm used to creation recommended links to concepts. For creation recommended links is used technique of traversal patterns. Established weights up to concepts and links along with the results of full scan algorithm created relevant recommended links within the scope of all subject matter and within the scope of topic in actual concept. The fundamental part is facilitating orientation for user in hyperspace.

关键词： Navigation

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A Novel Subband Decomposition Based Speckle Noise Reduction Algorithm for SAR Images

A Novel Subband Decomposition Based Speckle Noise Reduction ...

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International Conference on Recent Advances in Space Technologies (RAST)

作者： Gokhan Karasakal I. Erer Informatics Institute Advanced Technologies in Engineering Computer Science and Engineering Istanbul Technical University Istanbul Turkey Faculty of Electrical and Electronic Engineering Electronics and Communication Department Istanbul Technical University Istanbul Turkey

A new speckle reduction algorithm based on subband decomposition and multiscale edge detection is presented. The subband decomposition is performed using a DFT/RDFT-based symmetric, zero-phase, nonoverlapping digital filter bank. The noisy images are decomposed into sub-images using RDFT transform based subband decomposition, an edge image is obtained for each level using these sub-images, then a threshold value is estimated according to noise variance in each subband and soft-thresholding is applied on the non-edge regions of the subband images. The despeckled image is obtained from the thresholded subband images using the inverse RDFT transform. The proposed speckle reduction method is applied to several test images corrupted by speckle noise as well as experimental RADARSAT/SAR images. Despeckled images show that this method has better performance than the case where no edge information is used.

关键词： Speckle Noise reduction Discrete wavelet transforms Discrete Fourier transforms Noise level Image edge detection Radar polarimetry Digital filters Microwave filters Filtering

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MaltParser: A language-independent system for data-driven dependency parsing

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Natural Language engineering 2007年第2期13卷 95-135页

作者： Nivre, Joakim Hall, Johan Nilsson, Jens Chanev, Atanas Eryiǧit, Gülşen Kübler, Sandra Marinov, Svetoslav Marsi, Erwin Växjö University School of Mathematics and Systems Engineering 35195 Växjö Sweden Uppsala University Department of Linguistics and Philology Box 635 75126 Uppsala Sweden University of Trento Dept. of Cognitive Sciences 38068 Rovereto Italy ITC-irst 38055 Povo-Trento Italy Istanbul Technical University Dept. of Computer Engineering 34469 Istanbul Turkey University of Tübingen Seminar für Sprachwissenschaft Wilhelmstr. 19 72074 Tübingen Germany University of Skövde School of Humanities and Informatics Box 408 54128 Skövde Sweden Göteborg University GSLT Faculty of Arts Box 200 40530 Göteborg Sweden Tilburg University Department of Communication and Cognition Box 90153 5000 LE Tilburg Netherlands

Parsing unrestricted text is useful for many language technology applications but requires parsing methods that are both robust and efficient. MaltParser is a language-independent system for data-driven dependency parsing that can be used to induce a parser for a new language from a treebank sample in a simple yet flexible manner. Experimental evaluation confirms that MaltParser can achieve robust, efficient and accurate parsing for a wide range of languages without language-specific enhancements and with rather limited amounts of training data. © 2007 Cambridge university Press.

关键词： Formal languages

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Speckle noise reduction in SAR imaging using lattice filters based subband decomposition

Speckle noise reduction in SAR imaging using lattice filters...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Gokhan Karasakal I. Erer Informatics Institute Advanced Technologies in Engineering.Computer Science and Eng Istanbul Technical University Istanbul Turkey Electronics and Communication Department I.T.U. Faculty of Electrical and Electronic Engineering Istanbul Turkey

A new speckle reduction algorithm based on lattice filters for SAR imaging is presented. In the new method, the subband decomposition of the speckled image is performed using lattice filters. The noisy image is decomposed into subband images using high-pass and low-pass filters having lattice structure, then a threshold value is estimated according to noise variance in each subband and soft-thresholding is applied on the subband images. The despeckled image is obtained from the thresholded subband images using the inverse lattice filter. The proposed speckle reduction method is applied to RADARSAT/SAR images. The performance of the proposed method has also been compared with median filtering, and discrete and stationary wavelet transform based speckle reduction methods. Results show that the proposed method may be used efficiently for speckle noise reduction in SAR images.

关键词： Speckle Noise reduction Radar polarimetry Lattices Discrete wavelet transforms Filter bank Low pass filters Channel bank filters Image reconstruction Filtering

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Development of Remotely Accessible Matlab/Simulink Based Electrical Drive Experiments

Development of Remotely Accessible Matlab/Simulink Based Ele...

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2007 IEEE International Symposium on Industrial Electronics (ISIE 2007), vol.7

作者： Seta Bogosyan Metin Gokasan Ali Turan Richard W. Wies Electrical & Computer Engineering Dept University of Alaska Fairbanks Fairbanks AK USA Electrical & Electronics Engineering Faculty Istanbul Technical University Istanbul Turkey

关键词： Remotely accessible electrical drive experiments Client-server communication Matlab/Simulink

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Edge detection using clustering algorithms

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WSEAS Transactions on computers 2005年第5期4卷 417-423页

作者： Sirin, Tuba Saglam, Mehmet Izzet Erer, Isin Gokmen, Muhittin Informatics Institute Advanced Technologies in Engineering Computer Science and Engineering Istanbul Technical University Istanbul 34469 Turkey Informatics Institute Advanced Technologies in Engineering Satellite Communication and Remote Sensing Program Istanbul Technical University Istanbul 34469 Turkey Faculty of Electrical and Electronic Engineering Electronics and Communication Department Istanbul Technical University Istanbul 34469 Turkey Faculty of Electrical and Electronic Engineering Computer Engineering Department Istanbul Technical University Istanbul 34469 Turkey

Edge detection is an important topic in image processing and a main tool in pattern recognition and image segmentation. Many edge detection techniques are available in the literature. 'A number of recent edge detectors are multiscale and include three main processing steps: smoothing, differentiation and labeling' (Ziau and Tabbone, 1997). This paper, presents a proposed method which is suitable for edge detection in images. This method is based on the use of the clustering algorithms (Self-Organizing Map (SOM), K-Means) and a gray scale edge detector (Canny, Generalized Edge Detector (GED)). It is shown that using the grayscale edge detectors may miss some parts of the edges which can be found using the proposed method.

关键词： Edge detection

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Image fusion using DFT based digital filter banks

Image fusion using DFT based digital filter banks

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Applications of Digital Image Processing XXVIII

作者： Sezgin, Murat Erer, Işin Ersoy, Okan K. Dept. of Satellite Communication and Remote Sensing Informatics Institute Istanbul Technical University 34469 Maslak Istanbul Turkey Dept. of Electronics and Communication Engineering Electric and Electronic Faculty Istanbul Technical University 34469 Maslak Istanbul Turkey School of Electrical and Computer Engineering Purdue University West Lafayette IN United States

In this paper, we present a new fusion algorithm based on a multidecomposition approach with the DFT based symmetric, zero-phase, nonoverlapping digital filter bank representation. The DFT of the signal is separated into two parts leading to the low and high -pass components then decimated by two to obtain subband signals. The original signal may be recovered by interpolating the subband signals, computing their inverse DFT and summing the results. In the proposed image fusion algorithm, two or more source images are decomposed into subbands by DFT based digital filters. The detail and approximation subband coefficients are modified according to their magnitudes and mean values, respectively. Then, the modified subbands are combined in the subband domain. Finally, the fused image is obtained by the inverse transform.

关键词： Image processing

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Edge detection in multispectral remote sensing images

Edge detection in multispectral remote sensing images

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RAST 2005 - 2nd International Conference on Recent Advances in Space Technologies

作者： Sirin, Tuba Saglam, Mehmet Izzet Erer, Isin Gökmen, Muhittin Ersoy, Okan Istanbul Technical University Informatics Institute Advanced Technologies in Engineering Maslak/Istanbul Turkey Istanbul Technical University Informatics Institute Satellite Communication and Remote Sensing Program Maslak/Istanbul Turkey Istanbul Technical University Faculty of Electrical and Electronic Engineering Electronics and Communication Department Maslak/Istanbul Turkey Istanbul Technical University Faculty of Electrical and Electronic Engineering Computer Engineering Department Maslak/Istanbul Turkey Purdue University School of Electrical and Computer Engineering West Lafayette IN United States

ISBN: (纸本)0780389778

In this paper, we discuss edge detection by first using a clustering algorithm followed by a known edge detection filter such as Canny or Generalized Edge Detector (GED). We developed a new clustering method called Self-Organizing Global Ranking (SOGR). Comparative results with multispectral satellite images including SOGR, SOM and K-Means clustering methods are discussed. The results show that the two-stage algorithms are better than single stage edge detector algorithms. © 2005 IEEE.

关键词： Edge detection

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Multilayer capacitor model of the earth's upper crust

Multilayer capacitor model of the earth's upper crust

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作者： Üstündaǧ, Berk Kalenderli, Özean Eyidoǧan, Haluk Computer Engineering Department Electrical and Electronics Faculty Istanbul Technical University 34469 Maslak Istanbul Turkey Electrical Engineering Department Electrical and Electronics Faculty Istanbul Technical University 34469 Maslak Istanbul Turkey Dept. of Geophysical Engineering Faculty of Mines Istanbul Technical University 34469 Maslak Istanbul Turkey

In this study, an equivalent electric circuit model of Earth's upper crust is proposed to explain the behavior of measurement patterns acquired from network of the earthquake forecast project. A multi-layer capacitor model having active components that couples with the monopolar probe close to the surface is used to determine earthquake precursory patterns due to structural changes in time. Equivalent circuit model was developed for a) dilatency process that is assumed to be a stress weakening reason and b) external force source that increases shear stress over the fault until sudden decrement before the earthquake, A data acquisition system consisting of 15 online measurement stations in Marmara region and a data processing center has been established three years ago. Many anomalies which can be distinguished from regular daily behavior of the signal patterns were observed that thought to be associated with the earthquakes with the magnitude greater than 4 and close less than 150 kilometers to the nearest station. © TÜBITAK.

关键词： Capacitors

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