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检索条件"机构=Digital System Engineering Laboratory Department of Computer Engineering Faculty of Engineering"

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A bandwidth reduction scheme for 3D texture-based volume rendering on commodity graphics hardware

引用

International Conference on Computational Science and its Applications, ICCSA 2004

作者： Lee, Won-Jong Park, Woo-Chan Kim, Jung-Woo Han, Tack-Don Yang, Sung-Bong Neelamkavil, Francis Media System Laboratory Department of Computer Science Yonsei University Seoul120-749 Korea Republic of School of Computer Engineering Department of Internet Engineering Sejong University Seoul143-747 Korea Republic of Digital Media R and D Center Samsung Electronics 416 Maetan-3Dong Paldal-Gu Suwon City442-742 Korea Republic of

ISBN: (纸本)3540220569

In this paper, we propose a bandwidth-effective volume rendering scheme which subdivides the volume into the sub-volumes and transmits them to the texture units in visibility order. Each sub-volume is rendered in the same manner as the original volume on the graphics hardware and the corresponding sub-image is blended in the alpha blending unit. The sub-volume oriented processing improves the cache efficiency and allows empty space skipping. Moreover, it is capable of rendering volume datasets that do not fit into the texture memory. Simulations show that the proposed scheme is effective for 3D texture-based volume rendering on commodity graphics hardware by reducing memory bandwidth up to 30 times when compared with the traditional method. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Volume rendering

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DWORM: a distributed text retrieval prototype on Grid environment

DWORM: a distributed text retrieval prototype on Grid enviro...

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International Symposium on Communications and Information Technologies (ISCIT)

作者： P. Vateekul A. Rungsawang Massive Information and Knowledge Engineering Laboratory (MIKE) Department of Computer Engineering Faculty of Engineering Kasetsart University Bangkok Thailand

This paper presents a development of DWORM, a prototype of a distributed information retrieval system based on the Grid environment. The Grid environment enables traditional information retrieval systems to manage rapidly a voluminous amount of geographically distributed Web data by massively computing collaboration and resource sharing. Using a divide-and-conquer strategy, the document indexing and retrieval processes are disseminated and performed on each computing node. Preliminary evaluation done on machines under the ApGrid shows that DWORM scales optimally with four worker nodes; 45 percent more performance is obtained than the sequential WORM.

关键词： Prototypes Information retrieval Grid computing computer worms Distributed computing Knowledge engineering Peer to peer computing Design engineering Resource management Indexing

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Development of digital image retrieval technique using autocorrelogram and wavelet based texture

Development of digital image retrieval technique using autoc...

引用

Midwest Symposium on Circuits and systems (MWSCAS)

作者： P. Skulsujirapa S. Aramvith S. Siddhichai Digital Signal Processing Research Laboratory Department of Electrical Engineering Faculty of Engineering Chulalongkom University Bangkok Thailand National Electronics and Computer Technology Center Pathumthani Thailand

In this paper, we present the development of a digital image retrieval technique using autocorrelogram and wavelet based texture feature. Autocorrelogram is a color feature that is able to incorporate the spatial correlation of alike color and is tolerant to large changes in appearance, color, contrast, and brightness. A wavelet transform is used to analyze the textures that are characterized by their energy distribution in each sub-band. We propose an integration of the autocorrelogram and wavelet based texture to improve the performance of the image retrieval system. Experimental results suggest that the proposed integration offers much better performance than using the features separately.

关键词： digital images Image retrieval Image databases Histograms Spatial databases Wavelet transforms Feature extraction Indexing Content based retrieval Shape

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Comparative study of online testing methods for AMS application to decimation filters

Comparative study of online testing methods for AMS applicat...

引用

International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA

作者： M.A. Naal E. Simeu S. Mir Department of Computer Engineering Faculty of Electrical and Electronic Engineering University of Aleppo Aleppo Syria TIMA Laboratory Grenoble France

This paper presents the comparative study of on-line testing methods for AMS systems application to decimation filters. We present a case-study implementation of high-level-synthesis-for-testability (HLSFT) methodology for the case of a decimation filter implemented in a BIST circuitry for mixed-signal core testing. Three different self-test techniques are studied and compared for a 0.6, 0.35 and 0.18 /spl mu/m CMOS technologies.

关键词： system testing Circuit testing Circuit faults Built-in self-test Filters Circuit synthesis Timing CMOS technology Delay Application software

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Remote spectral imaging with multi-wavelength and tunable, wavelength-modulation lasers

Remote spectral imaging with multi-wavelength and tunable, w...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Yi Wang Chuan Peng HuanLin Zhang H.Q. Le Photonic Device and System Laboratory Department of Electrical and Computer Engineering University of Houston Calhoun TX USA

Scanning laser remote imaging with wavelength-division-multiplexed and/or wavelength-agile transmitters allows acquisition of different target spectral signatures. Wavelength-modulation-spectroscopic imaging of a gas ... 详细信息

ISBN: (纸本)1557527776

关键词： Tunable circuits and devices Optical transmitters Quantum cascade lasers Optical imaging Gas lasers Multiaccess communication Laser beams digital modulation Optical sensors Image sensors

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Hybrid WDM/OCDMA system to support differentiated services in access network

Hybrid WDM/OCDMA system to support differentiated services i...

引用

IEEE International Conference on Semiconductor Electronics (ICSE)

作者： M.H. Hisham S.A. Aljunid H.L. Liew M.D.A. Samad S.B.A. Anas M.K. Abdullah Photonic and Fiber Optic Systems Laboratory Department of Computer and Communication Systems Engineering Faculty of Engineering Universiti Putra Malaysia Malaysia

This paper presents a new scheme of WDM/OCDMA system that capable of providing differentiated services in access network. We implement the proposed double-weight (DW) code in this system. The double-weight (DW) code has a fixed weight of 2 and exists for every natural number, n. In spectral-amplitude-coding optical code division multiple access (CDMA) systems, DW code has an ideal cross correlation to eliminate multiuser interference and suppress the noise. We analyze the performance of the system by evaluating the bit error rate (BER) of different services.

关键词： Wavelength division multiplexing Intelligent networks High speed optical techniques Bandwidth Bit error rate Optical noise Optical fibers Multiaccess communication Optical fiber networks Spine

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Integrating MPEG-7 descriptors and pattern recognition: an environment for multimedia indexing and searching

Integrating MPEG-7 descriptors and pattern recognition: an e...

引用

Proceedings of the Latin American Web Congress (LA-Web)

作者： R. Matushima D.M. Hiramatsu R.M. Silveira W.V. Ruggiero C.E.M. da Costa M.M. Monteiro C. Hatori LARC-Laboratory of Computer Architecture and Networks Department of Computer and Digital System Engineering Escola Politécnica da Universidade de São Paulo Brazil Department of Computer Engineering and Digital System Escola Politécnica da Universidade de São Paulo Brazil Fundaćão Padre Anchieta Radio e TV Cultura Sao Paulo Brazil

This paper describes a music searching system based on an automatic indexing process created over a pattern recognition tool and MPEG-7 standard. We present a complete analysis of the involved technologies integration process and show a reference measure in the feasibility of this kind of application not only in the research environment but also in the production of real systems.

关键词： MPEG 7 Standard Pattern recognition Indexing TV Data mining computer networks digital systems systems engineering and theory Libraries Humans

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Clustering-based framework for comparing fMRI analysis methods

Clustering-based framework for comparing fMRI analysis metho...

引用

IEEE International Symposium on Biomedical Imaging

作者： G.-A. Hossein-Zadeh A.-M. Golestani H. Soltanian-Zadeh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran Image Analysis Laboratory Radiology Department Henry Ford Health System Detroit MI USA

In this paper, a cluster-based framework is introduced for comparing analysis methods of functional magnetic resonance images (fMRI). In the proposed framework, fMRI data is replaced with a feature space and each method considered as a clustering method in the new space. As a result, different methods can be compared by means of a cluster validity measure. The feature space is computed using a non-parametric method (principal component analysis-PCA). Four subjects have been analyzed with three methods and the proposed cluster-based framework has evaluated performance of the methods. The results are identical to those of the modified receiver operating characteristics (ROC). This validates the proposed approach.

关键词： Clustering algorithms Algorithm design and analysis Image analysis Clustering methods Magnetic analysis Testing Accuracy Reproducibility of results Radiology Magnetic resonance

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Multiresolution automatic segmentation of T1-weighted brain MR images

Multiresolution automatic segmentation of T1-weighted brain ...

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IEEE International Symposium on Biomedical Imaging

作者： M. Zeydabadi R.A. Zoroofi H. Soltanian-Zadeh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran Radiology Department Henry Ford Health System Image Analysis and Communications Laboratory Detroit MI USA

Automatic segmentation of brain tissues is crucial to many medical imaging applications. We use a multi-resolution analysis and a power transform to extend the well-known Gaussian mixture model expectation maximization based algorithm for segmentation of white matter, gray matter, and cerebrospinal fluid from T1-weighted magnetic resonance images (MRI) of the brain. Experimental results with near 4000 synthetic and real images are included. The results illustrate that the proposed method outperforms six existing methods.

关键词： Image resolution Image segmentation Biomedical imaging Multiresolution analysis Image analysis Magnetic analysis Algorithm design and analysis Brain modeling Magnetic liquids Magnetic resonance

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MRSI brain tumor characterization using wavelet and wavelet packets feature spaces and artificial neural networks

MRSI brain tumor characterization using wavelet and wavelet ...

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： A. Yazdan-Shahmorad H. Soltanian-Zadeh R.A. Zoroofi Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran Radiology Department Henry Ford Health System Image Analysis and Communications Laboratory Detroit MI USA

Magnetic resonance spectroscopic imaging (MRSI) is a non-invasive technique for assessing biochemical fingerprint of tissue composition. The need to differentiate between normal and abnormal tissues and determine type of abnormality before biopsy or surgery motivated development and application of MRSI. There are several technical reasons that make the brain easier than other organs to be examined with MRSI. This work presents our proposed methods and results for the analysis of the brain spectra of patients with three tumor types (malignant glioma, astrocytoma, and oligodendroglioma). After extracting features from MRSI data using wavelet and wavelet packets, we use artificial neural networks to determine the abnormal spectra and the type of abnormality. We evaluated the proposed methods using clinical and simulated MRSI data and biopsy results. The MRSI analysis results were correct 97% of the time when classifying the spectra of the clinical MRSI data into normal tissue, tumor, and radiation necrosis. They were correct 72% and 83% of the time when determining tumor types using the clinical and simulated MRSI data, respectively.

关键词： Wavelet packets Neoplasms Artificial neural networks Biopsy Magnetic resonance Spectroscopy Magnetic resonance imaging Fingerprint recognition Surgery Cancer

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