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Pipeline leak localization using pattern recognition and a bayes detector

Pipeline leak localization using pattern recognition and a b...

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2006 6th international Pipeline conference, IPC 2006

作者： Di Blasi, Martín Baptista, Renan Martins Muravchik, Carlos REPSOL-YPF Dirección Técnica Refino and Logística Av. Roque S. Peña 777 C.F. Argentina PETROBRAS R and D Center Rio de Janeiro RJ Brazil Facultad de Ingeniería UNLP Argentina

A novel leak localization method for multi section pipelines is presented. Based on normal operation flowing thermodynamic pressure drop patterns along the pipeline, the system continuously compares with the measured pressure drops, and makes a decision based on the best fit finding the section where the leak occurs. A statistical approach is used accounting for noisy measured signals. the method uses steady state fluid equations, a recursive parameter estimation algorithm, and statistical decision and pattern recognition techniques. A modification is introduced to consider the cost of making a wrong leaky section choice in terms of the excess volume spilled due to gravitational flow after pipeline shut down. this leads to a Bayesian decision scheme minimizing a risk functional. the costs are the spill volumes, obtained from dynamical simulation of the pipeline, under the various possible decision scenarios. Finally, details are given of the successful implementation of the system on a 500km long oil pipeline, and real data from a simulated leak experiment are shown. Copyright © 2006 by ASME.

关键词： Pipelines

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Lips shape extraction via active shape model and local binary pattern

Lips shape extraction via active shape model and local binar...

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6th Mexican international conference on Artificial Intelligence, MICAI 2007

作者： Moran, Luis E.L. Pinto-Elías, Raúl Centro Nacional de Investigación y Desarrollo Tecnológico Interior Internado Palmira s/n Cuernavaca Morelos 62490 Mexico

ISBN: (纸本)9783540766308

In this work we assume a frontal view of a face for the lips shape extraction, then the first step is locate a face inside a digital image, for this task we use techniques based in color to extract only the pixels with skin tone, a templates based in integral projections are applied to verify and locate the face, using integral projections, we locate and define a region of interest for lips. Previously a statistical model of lips (ASM) was created in the same way, local appearance patterns of landmarks are modeled using Local Binary patterns (LBP) , in this model we try to capture a variation from a closed lips to an opened lips. For the search task Local Binary pattern Histogram (LBPH) are used. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Feature extraction

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6th international conference on Entertainment Computing, ICEC 2007

6th International Conference on Entertainment Computing, ICE...

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6th international conference on Entertainment Computing, ICEC 2007

ISBN: (纸本)3540748725

the proceedings contain 64 papers. the special focus in this conference is on Mixed Reality, Computer Games, Image Processing, Mesh and Modeling. the topics include: A handheld augmented reality game system with dynamic environment;a multimodal ambient display on the table exploiting five senses convergence;measuring game-play performance and perceived immersion in a domed planetarium projection environment;identification with the player character as determinant of video game enjoyment;generalized minimum-norm perspective shadow maps for anti-aliased shadow rendering in 3d computer games;an algorithm for seamless image stitching and its application;a new algorithm for trademark image retrieval based on sub-block of polar coordinates;image composition with blurring effect from depth of field;a new progressive mesh with adaptive subdivision for LOD models;topology-consistent design for 3d freeform meshes with harmonic interpolation;implementation and optimization issues of the triangular patch-based terrain system;procedural modeling of residential zone subject to urban planning constraints;concept and construction of an interactive folktale system;a role casting method based on emotions in a story generation system;using narrative cases to author interactive story content;multi-track scratch player on a multi-touch sensing device;application MDA in a collaborative modeling environment;user studies of intergenerational computer entertainment;video affective content recognition based on genetic algorithm combined hmm;video processing and retrieval on cell processor architecture and a practical framework for virtual viewing and relighting.

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Dynamic feature cascade for multiple object tracking with trackability analysis

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6th international conference on Energy Minimization Methods in Computer Vision and pattern recognition

作者： Li, Zheng Gong, Haifeng Zhu, Song-Chun Sang, Nong Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Wuhan Peoples R China Lotus Hill Inst Comp Vis & Info Sci Ezhou Peoples R China Chinese Acad Sci Institute of Automat Natl Lab Pattern Recognit Beijing 100864 Peoples R China Univ Calif Los Angeles Dept Comp Sci & Stat Los Angeles CA USA

ISBN: (纸本)9783540741954

In multiple object tracking, the confusion caused by occlusion and similar appearances is an important issue to be solved. In this paper, trackability is proposed to measure how well given features can be used to find the correspondence of any given object in videos with multiple objects. Based on the analysis of trackability and computational complexity of the features under various occlusion conditions, a dynamic feature method cascade is presented to match the objects in consecutive frames. the cascade is composed of three tracking features: appearance;velocity and position. these features are enabled or disabled online to reduce computational complexity while obtaining similar trackability. Experiments are conducted on 27062 frame occlusion objects, in the cases of good trackability, our experiments can obtain high succussful tracking rate with low computation burden, and in the cases of poor trackability, our estimation of trackability and confusion matrix can explain why they can not be tracked well.

关键词： trackability multiple object tracking feature cascade confusion matrix

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Analysis of DNA-Dimer distribution in retroviral Genomes using a Bayesian networks induction technique based on genetic algorithms

Analysis of DNA-Dimer distribution in retroviral Genomes usi...

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6th Mexican international conference on Artificial Intelligence (MICAI 2007)

作者： Garza-Dominguez, Ramiro Quiroz-Gutierrez, Antonio Univ Autonoma Carmen Ctr Technol Informac Ciudad Carmen Campeche Mexico Univ Autonoma Carmen Fac Quim Campeche Mexico

ISBN: (纸本)9783540766308

Since DNA-dimer analysis has demonstrated to provide a very conserved pattern that has been suggested as a genome signature, in this paper we present a computational study of DNA-dimer distribution in a collection of Retroviral genomes. this analysis is based on two main steps: the generation of the target dataset, in this step, the DNA-dimer distribution variables are calculated and transformed to categorical data using Fuzzy Sets. And the induction of a Bayesian Network from the dataset. this induction technique is based on Genetic Algorithms. We have found interesting causal relationships between the DNA-dimer distribution variables and a set of chemical variables. these results could provide new directions in future Retroviral genomic investigations. the computational methodology presented in this paper has demonstrated to be an interesting tool for the study and the analysis of genomic sequences.

关键词： Bayesian networks bioinformatics DNA-dimer Fuzzy sets Retroviral genomes

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Simulating classic mosaics with graph cuts

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6th international conference on Energy Minimization Methods in Computer Vision and pattern recognition

作者： Liu, Yu Veksler, Olga Juan, Olivier Univ Western Ontario Dept Comp Sci London ON N6A 5B7 Canada

ISBN: (纸本)9783540741954

Classic mosaic is one of the oldest and most durable art forms. there has been a growing interest in simulating classic mosaics from digital images recently. To be visually pleasing, a mosaic should satisfy the following constraints: tiles should be non-overlapping, tiles should align to the perceptually important edges in the underlying digital image, and orientation of the neighbouring tiles should vary smoothly across the mosaic. Most of the existing approaches operate in two steps: first they generate tile orientation field and then pack the tiles according to this field. However, previous methods perform these two steps based on heuristics or local optimisation which, in some cases, is not guaranteed to converge. Some other major disadvantages of previous approaches are: (i) either substantial user interaction or hard decision making such as edge detection is required before mosaicing starts (ii) the number of tiles per mosaic must be fixed beforehand, which may cause either undesired overlap or gap space between the tiles. In this work, we propose a novel approach by formulating the mosaic simulating problem in a global energy optimisation framework. Our algorithm also follows the two-step approach, but each step is performed with global optimisation. For the first step, we observe that the tile orientation constraints can be naturally formulated in an energy function that can be optimised with the a-expansion algorithm. For the second step of tightly packing the tiles, we develop a novel graph cuts based algorithm. Our approach does not require user interaction, explicit edge detection, or fixing the number of tiles, while producing results that are visually pleasing.

关键词： Graph theory

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6th IEEE/ACIS international conference on Computer and Information Science-Title

6th IEEE/ACIS International Conference on Computer and Infor...

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international conference on Computer and Information Science (ACIS)

the following topics are dealt with: information science; computer architecture; VLSI; image processing; pattern recognition; mobile computing; software engineering; knowledge discovery; agent based systems; data mining; data warehousing; distributed computing; middleware architecture; e commerce; software metrics and speech processing.

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A Simple High Accuracy Approach for Face recognition

A Simple High Accuracy Approach for Face Recognition

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IEEE international conference on Cognitive Informatics

作者： Liang Chen Naoyuki Tokuda Computer Science Department University of Northern British Columbia Prince George BC Canada Sunflare Company Limited Shinjuku Tokyo Japan

the theory that electoral college is more stable than direct popular vote is applied in face recognition. By simply adopting most traditional PCA approach, the experiments in this paper show a remarkably higher recognition rate than any known algorithm is reached with electoral college strategy on known FERET datasets. It indicates that a significant breakthrough can be expected by embedding electoral college with more effective face recognition algorithms.

关键词： Face recognition Voting Educational institutions Principal component analysis pattern recognition Associative memory Computer science pattern matching Pollution Cognitive informatics

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A new hybrid summarizer based on Vector Space Model, statistical physics and linguistics

A new hybrid summarizer based on Vector Space Model, statist...

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6th Mexican international conference on Artificial Intelligence (MICAI 2007)

作者： da Cunha, Iria Fernandez, Silvia Morales, Patricia Velazquez Vivaldi, Jorge SanJuan, Eric Torres-Moreno, Juan Manuel Lab Informat Avignon BP 1228 F-84911 Avignon 9 France Univ Pompeu Fabra Inst Appl Linguist Barcelona Spain Ecole Polytech DGI Montreal PQ Canada CNRS UMR 7556 Phys Mat Lab Nancy France

ISBN: (纸本)9783540766308

In this article we present a hybrid approach for automatic summarization of Spanish medical texts. there are a lot of systems for automatic summarization using statistics or linguistics, but only a few of them combining both techniques. Our idea is that to reach a good summary we need to use linguistic aspects of texts, but as well we should benefit of the advantages of statistical techniques. We have integrated the Cortex (Vector Space Model) and Enertex (statistical physics) systems coupled with the Yate term extractor, and the Disicosum system (linguistics). We have compared these systems and afterwards we have integrated them in a hybrid approach. Finally, we have applied this hybrid system over a corpora of medical articles and we have evaluated their performances obtaining good results.

关键词： pattern recognition

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Cardiac Structure recognition in Ultrasound Images

Cardiac Structure Recognition in Ultrasound Images

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international conference on Systems, Signals and Image Processing, IWSSIP

作者： Mozart Lemos de Siqueira Daniel Nehme Muller Philippe Olvier Alexandre Navaux Institute of Informatics Federal University of Rio Grande do Sul Porto Alegre Rio Grande do Sul Brazil

the paper presents a research on detection of cardiac structures in echocardiography gray images from fetal hearts. pattern recognition and a density probability function of scales of gray is used for search cardiac structures and then compared with pattern structures previously stored. the Bhattacharyya coefficient is used in order to obtain the similarity to define the choice of the structures of interest. the method uses also texture features to isolate the region of interest inside the ultrasound image to improve the results and performance. the prototype developed to evaluate the method and some validated results are presented.

关键词： Image recognition Ultrasonic imaging Biomedical imaging pattern recognition Echocardiography Prototypes Medical diagnostic imaging Image processing Cardiac disease Fetus

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