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检索条件"主题词=Algorithm development"

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Consistent estimation of shape parameters in statistical shape model by symmetric EM algorithm

Consistent estimation of shape parameters in statistical sha...

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Conference on Medical Imaging - Image Processing

作者： Shen, Kaikai Bourgeat, Pierrick Fripp, Jurgen Meriaudeau, Fabrice Salvado, Olivier CSIRO ICT Ctr Australian E Hlth Res Ctr Herston Qld Australia Univ Bourgogne CNRS LE2I UMR 5158 F-21004 Dijon France

ISBN: (纸本)9780819489630

In order to fit an unseen surface using statistical shape model (SSM), a correspondence between the unseen surface and the model needs to be established, before the shape parameters can be estimated based on this correspondence. The correspondence and parameter estimation problem can be modeled probabilistically by a Gaussian mixture model (GMM), and solved by expectation-maximization iterative closest points (EM-ICP) algorithm. In this paper, we propose to exploit the linearity of the principal component analysis (PCA) based SSM, and estimate the parameters for the unseen shape surface under the EM-ICP framework. The symmetric data terms are devised to enforce the mutual consistency between the model reconstruction and the shape surface. The a priori shape information encoded in the SSM is also included as regularization. The estimation method is applied to the shape modeling of the hippocampus using a hippocampal SSM.

关键词： Expectation maximization algorithms Statistical modeling Data modeling Principal component analysis Error analysis Statistical analysis Detection and tracking algorithms Reconstruction algorithms algorithm development Shape analysis

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Advance Overlay Correction beyond 32nm DRAM Process

Advance Overlay Correction beyond 32nm DRAM Process

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Conference on the Lithography Asia 2008

作者： Hung, Chia Tsung Hsia, Chung Ping Cheng, Tzu Shen Huang, Chun Yen Wu, Wen Bin Shih, Chiang Lin Nanya Technol Corp Tao Yuan 333 Taiwan

ISBN: (纸本)9780819473813

Overlay requirements for semiconductor devices are decreasing faster than anticipation. Beyond 50nm technology node, overlay budget becomes much tighter as 20% of half pitch. If Double Patterning Technology implemented, CD error will consume overlay control budget, which must be tighter than 1nm or 2nm. For 32nm technology node, the overlay control budget might be less than 5nm. In this paper, we studied the possibility of 5nm overlay control by using Zone Alignment (ZA), High Order Correction (HOC) and Correction Per Exposure (CPE). ZA is a novel zone dependency alignment strategy which compensates an improper averaging effect through weighting all surrounding marks with a linear model. HOC is an alignment correction method which can compensate nonlinear overlay error up to fifth order polynomial. CPE is a function of Grid-Mapper package, which is a field base method to correct overlay error field by field. It's also a good approach to minimize the grid fingerprint difference between exposure tools. The results of this paper indicate that ZA and HOC can reduce 15 similar to 25% uncorrectable overlay residual against conventional linear model and the stability in mass production has been demonstrated. Therefore, it is still not possible to control overlay within 5nm. CPE shows very good overlay residual performance as our expectation, and it's a possible approach to achieve 5nm overlay control in 32nm technology node. In addition, the feedback or feed-forward mechanisms have to be established for mass production worthy.

关键词： Semiconducting wafers Optical alignment Overlay metrology Data modeling Double patterning technology algorithm development Lithography Semiconductors Current controlled current source Process control

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Soft computing applications: the advent of hybrid systems

Soft computing applications: the advent of hybrid systems

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Conference on Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation

作者： Bonissone, PP Gen Elect Corp Res R&D Schenectady NY 12309 USA

ISBN: (纸本)0819429104

Soft Computing is a new field of Computer Sciences that deals with the integration of problem-solving technologies such as Fuzzy Logic, Probabilistic Reasoning, Neural Networks, and Genetic algorithms. Each of these technologies provide us with complementary reasoning and searching methods to solve complex, real-world problems. We will analyze some of the most synergistic combinations of Soft Computing technologies, with an emphasis on the development of smart algorithm-controllers, such as the use of FL to control GAs and NNs parameters. We will also discuss the application of GAs to evolve NNs (topologies or weights) or to tune FL controllers;and the implementation of FL controllers as NNs tuned by backpropagation-type algorithms. We will conclude with a detailed description of a GA-tuned Fuzzy Controller to implement a train handling control.

关键词： Fuzzy logic algorithm development Genetic algorithms Systems modeling Neural networks Computer programming Computing systems Device simulation Control systems Evolutionary algorithms

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SmartHealthSys 2014: ACM UbiComp International Workshop on Smart Health Systems and Applications

SmartHealthSys 2014: ACM UbiComp International Workshop on S...

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ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)

作者： Ghasemzadeh, Hassan Cook, Diane Pavel, Misha Rashidi, Parisa Jafari, Roozbeh Skubic, Marjorie Ong, Michael Demiris, George Washington State Univ Sch Elect Engn & Comp Sci Pullman WA 99164 USA Northeastern Univ Coll Comp & Informat Sci Boston MA 02115 USA Univ Florida Dept Biomed Engn Gainesville FL 32611 USA Univ Texas Dallas Dept Elect Engn Richardson TX 75080 USA Univ Missouri Elect & Comp Engn Columbia MO 65211 USA Univ Calif Los Angeles David Geffen Sch Med Los Angeles CA 90095 USA Univ Washington Sch Nursing Seattle WA 98195 USA Univ Washington Sch Med Seattle WA 98195 USA

ISBN: (纸本)9781450330473

SmartHealthSys 2014 will be a cross-disciplinary workshop that brings researchers from engineering, computer science, and medicine together to discuss latest findings in this area and advance the field. This interactive workshop will be inspiring for anyone conducting research in the area of mobile and connected health. This includes research in technology design and development as well as clinical studies and novel application areas. The workshop is one day long and includes a keynote, paper presentation sessions, and several discussion sessions.

关键词： Smart Health Wellbeing System Design algorithm development Scalability

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VECTOR NEURAL-NETWORK SIGNAL INTEGRATION FOR RADAR APPLICATION

VECTOR NEURAL-NETWORK SIGNAL INTEGRATION FOR RADAR APPLICATI...

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Conference on Signal and Data Processing of Small Targets 1994

作者： BIERMAN, G Air Force Wright Lab. (United States)

ISBN: (纸本)0819415391

The Litton Data Systems Vector Neural Network (VNN) is a unique multi-scan integration algorithm currently in development. The target of interest is a low-flying cruise missile. Current tactical radar cannot detect and track the missile in ground clutter at tactically useful ranges. The VNN solves this problem by integrating the energy from multiple frames to effectively increase the target's signal-to-noise ratio. The implementation plan is addressing the APG-63 radar. Real-time results will be available by March 1994.

关键词： Radar Missiles Target detection Detection and tracking algorithms Neural networks Neurons Signal to noise ratio algorithm development Doppler effect Signal detection

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On Investigating Social Dynamics in Tactical Opportunistic Mobile Networks

On Investigating Social Dynamics in Tactical Opportunistic M...

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19th Conference on Open Architecture (OA) / Open Business Model (OBM) Net-Centric Systems and Defense Transformation

作者： Gao, Wei Li, Yong Univ Tennessee Dept Elect Engn & Comp Sci Knoxville TN 37996 USA

ISBN: (纸本)9781628410334

The efficiency of military mobile network operations at the tactical edge is challenging due to the practical Disconnected, Intermittent, and Limited (DIL) environments at the tactical edge which make it hard to maintain persistent end-to-end wireless network connectivity. Opportunistic mobile networks are hence devised to depict such tactical networking scenarios. Social relations among warfighters in tactical opportunistic mobile networks are implicitly represented by their opportunistic contacts via short-range radios, but were inappropriately considered as stationary over time by the conventional wisdom. In this paper, we develop analytical models to probabilistically investigate the temporal dynamics of this social relationship, which is critical to efficient mobile communication in the battlespace. We propose to formulate such dynamics by developing various sociological metrics, including centrality and community, with respect to the opportunistic mobile network contexts. These metrics investigate social dynamics based on the experimentally validated skewness of users' transient contact distributions over time.

关键词： Printed circuit board testing Mobile communications Relays algorithm development Convolution Network architectures Social networks Stochastic processes Systems modeling Wireless communications

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CONTOUR ANALYSIS algorithmS FOR HIGH SPEED INSPECTION

CONTOUR ANALYSIS ALGORITHMS FOR HIGH SPEED INSPECTION

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13th Conference on Intelligent Robots and Computer Vision: 3D Vision, Product Inspection, and Active Vision

作者： KILLE, K FRAUNHOFER INST MFG ENGN & AUTOMAT D-70569 STUTTGARTGERMANY

ISBN: (纸本)0819416894

The visual inspection of many industrial products is based on contour analysis. The main task is the detection of defects like cracks and chips. The automation of this visual inspection procedure requires robust and flexible systems and algorithms. This paper describes new contour analysis algorithms for defect detection. Innovative techniques for contour filtering and analysis (e.g., scale-space analysis) are presented. The performance of different approaches is shown by several industrial examples and applications.

关键词： Inspection Defect detection Gaussian filters Optical inspection Detection and tracking algorithms Object recognition Tolerancing algorithm development Analytical research Shape analysis

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Method for accurate quantitation of background tissue optical properties in the presence of emission from a strong fluorescence marker

Method for accurate quantitation of background tissue optica...

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Conference on Molecular-Guided Surgery - Molecules, Devices, and Applications

作者： Bravo, Jaime Davis, Scott C. Roberts, David W. Paulsen, Keith D. Kanick, Stephen Chad Dartmouth Coll Thayer Sch Engn Hanover NH 03755 USA Dartmouth Coll Dartmouth Med Sch Hanover NH 03755 USA Dartmouth Hitchcock Med Ctr Sect Neurosurg Lebanon NH 03756 USA Dartmouth Hitchcock Med Ctr Norris Cotton Canc Ctr Lebanon NH 03756 USA

ISBN: (纸本)9781628414011

Quantification of targeted fluorescence markers during neurosurgery has the potential to improve and standardize surgical distinction between normal and cancerous tissues. However, quantitative analysis of marker fluorescence is complicated by tissue background absorption and scattering properties. Correction algorithms that transform raw fluorescence intensity into quantitative units, independent of absorption and scattering, require a paired measurement of localized white light reflectance to provide estimates of the optical properties. This study focuses on the unique problem of developing a spectral analysis algorithm to extract tissue absorption and scattering properties from white light spectra that contain contributions from both elastically scattered photons and fluorescence emission from a strong fluorophore (i.e. fluorescein). A fiber-optic reflectance device was used to perform measurements in a small set of optical phantoms, constructed with Intralipid (1% lipid), whole blood (1 % volume fraction) and fluorescein (0.16-10 mu g/mL). Results show that the novel spectral analysis algorithm yields accurate estimates of tissue parameters independent of fluorescein concentration, with relative errors of blood volume fraction, blood oxygenation fraction (BOF), and the reduced scattering coefficient (at 521 nm) of <7%, <1%, and <22%, respectively. These data represent a first step towards quantification of fluorescein in tissue in vivo.

关键词： Luminescence Reflectivity algorithm development Absorption Optical properties Tissues Scattering Blood Calibration Error analysis

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Delineation Operating Characteristic (DOC) curve for assessing the accuracy behavior of image segmentation algorithms

Delineation Operating Characteristic (DOC) curve for assessi...

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Medical Imaging 2004 Conference

作者： Udupa, JK Zhuge, Y Univ Penn Med Image Proc Grp Dept Radiol Philadelphia PA 19104 USA

ISBN: (纸本)0819452831

In 2002. at this meeting, we presented a framework for the evaluation of image segmentation methods. That framework suggested the consideration of both recognition and delineation tasks and described three groups of factors under precision, accuracy, and efficiency for evaluating segmentation methods. In this paper, focusing on accuracy, we argue that evaluations conducted on particular manifestations of any segmentation method M (as determined by fixed values of the parameters of M) do not characterize the range of behavior of M. To capture the entire range of behavior of M for a given application domain, we describe a method called Delineation Operating Characteristic (DOC) analysis. The DOC curve summarizes the behavior of M and the tradeoff that is inherent in M between false positive and false negative regions within the regions delineated by M. This, we argue, will allow more complete understanding and more meaningful comparison of the relative accuracy of different methods. This analysis may also allow the selection of more optimal manifestations of M for a given application domain. By way of illustration, we demonstrate with examples how DOC curves can be used for comparing the accuracy of several segmentation methods.

关键词： Image segmentation Image processing algorithms and systems Image processing Fuzzy logic Binary data Cadmium Medical imaging Tissues algorithm development Brain

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SOLVING CITY-BLOCK METRIC AND DIGITAL GEOMETRY PROBLEMS ON THE BSR MODEL OF PARALLEL COMPUTATION 2

SOLVING CITY-BLOCK METRIC AND DIGITAL GEOMETRY PROBLEMS ON T...

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Vision Geometry II Conference

作者： MELTER, RA STOJMENOVIC, I LONG ISL UNIV DEPT MATHSOUTHAMPTONNY 11968

ISBN: (纸本)0819413259

in this paper we solve several geometric and image problems using the BSR (broadcasting with selective reduction) model of parallel computation. All of the solutions presented are constant time algorithms. The computational geometry problems are based on city block distance metrics: all nearest neighbors and furthest pairs of m points in a plane are computed on a two criteria BSR with m processors, the all nearest foreign neighbors and the all furthest foreign pairs of m points in the plane problems are solved on three criteria BSR with m processors while the area and perimeter of m iso-oriented rectangles are found on a one criterion BSR with m² processors. The problems on an nxn binary image which are solved here all use BSR with n² processors and include: histogramming (one criterion), distance transform (one criterion), medial axis transform (three criteria) and discrete Voronoi diagram of labeled images (two criteria).

关键词： Image processing algorithm development Binary data Vision geometry Lithium Chromium Process modeling Visual process modeling Curium Mathematical modeling

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