digital pattern recognition



An optical-fiber sensor for use in water systems utilizing digital signal processing techniques and artificial neural network pattern recognition
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An optical-fiber sensor is reported which is capable of detecting ethanol in water. A single optical-fiber sensor was incorporated into a 1-km length of 62.5-m core diameter polymer- clad silica optical fiber. In order to maximize sensitivity, a U-bend configuration was used for

Development of neutron-gamma discrimination technique using pattern recognition method with digital signal processing
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We have developed a new neutronYgamma (nYγ) pulse shape discrimination technique, a patternYrecognition method, for an NE213 scintillation detector by using digital signal processing. In this method, a signal to be analyzed is digitized and regarded as a vector

DAPR: Digital Pattern Recognition Approaches Production
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ABSTRACT DAPR is asystem which has been developed at Lawrence Radiation Laboratory for Digital Automatic Pattern Recognition in bubble chamber pictures. Pictures are measured by the Flying Spot Digitizer, and the data are reduced to yield a data abstract

DAPR- DIGITAL AUTOMATIC PATTERN RECOGNITION FOR BUBBLE CHAMBERS
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The bubble chamber is one of the most versatile tools for high energy physics research. It is used to detect the passage of particles and to measure their trajectory, momentum and velocity. Nuclear events are produced by the interaction of beam particles from the

Digital Pattern Recognition in Heritage Recording: An Automated Tool for Documentation and Reconstruction of Visually Complicated Geometric Patterns
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Archeologists strive to make sense of the heritage and remains left

The use of digital pattern recognition techniques for virtual reconstruction of eroded and visually complicated archeological geometric patterns
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For the purpose of cultural heritage preservation, the task of reconstructing eroded and visually complicated architectural geometrical patterns is facing many practical challenges. Existing recording techniques have many limitations when dealing with patterns that are We have addressed the problem of analyzing the digital pulse waveforms of radiation detector outputs. With the availability of extremely high-speed A/D conversion with good resolution, it is now possible to look more deeply at the waveform shapes than is currently

Interactive pattern recognition and human language technology for digital audiovisual Multimedia content acquisition and processing in the MIRACLE system
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video and multimedia information. The MIRACLE system is composed of three major components: content acquisition, content processing , and content server. In this paper, we will focus on the first two components. The details of

Audio content processing for automatic music genre classification: descriptors, databases, and classifiers
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This dissertation presents, discusses, and sheds some light on the problems that appear when computers try to automatically classify musical genres from audio signals. In particular, a method is proposed for the automatic music genre classification by using a computational

Foundations of musicology as content processing science
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This paper describes musicology as a science of musical content processing . It is argued that evidence-based research and computational modeling provides a methodological basis for understanding the human information processing mechanisms that transform physical

A scheduling framework for web server clusters with intensive dynamic content processing
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Clustering support with a single-system image view for large-scale Web servers is important to improve the system scalability in processing a large number of concurrent requests from Internet, especially when dynamic content generation using CGI or other protocols becomes

A semantic model for integrated content management, localisation and language technology processing
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translation, cross-lingual information retrieval, sentiment analysis and automatic speech recognition, all rely on high quality training content, which in turn must be continually harvested based on the human quality judgments made across the end-to-end content processing flow

Feacan: Front-end acceleration for content-aware network processing
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the wire-speed and low-latency requirement. Existing work focuses on algorithm- level solutions while lacking system-level design to meet the critical requirement for front-end content processing . In this paper, we propose a

Web Content Processing Method for Electronic Business Systems
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The given article is devoted to the development of standardized methods and software Web content processing in ebusiness systems. The model of electronic content commerce systems is developed. The models of commercial Web content processing subsystems are

Content-based melodic transformations of audio material for a music processing application
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Using and enhancing the current MPEG-7 standard for a music content processing tool, Proceedings of Audio Engineering Society, 114th Convention. Amsterdam, The Netherlands.

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This paper describes ongoing research work by the Pattern Recognition and Human Language Technology (PRHLT) group (UPV PASCAL2 node) in two important technology transfer projects: i3media and erudito. com. On the one hand, i3media (2007-2010) is a 35

A pattern recognition procedure for the identification of digital numbers in electrical meters using Neural Networks
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This paper presents an approach for number pattern recognition process applied to a practical example: identification of digital numbers in electrical meters using Neural Networks. Results of the implementation were confronted with real measurements for

SOFTWARE TN ESTUDIO V2. 0: INTEGRATION OF DIGITAL IMAGES PROCESSING TOOLS WITH PATTERN RECOGNITION TO SUPPORT THE REMOTE
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Over the past years, digital imagery applications had a strong growth. In scientific fields, this technology is fast becoming mainstream in many applications and is implanted solidly in remote sensing domain. This fact produces the necessity of software to process digital

Digital procedures for pattern recognition of Diesel spray characteristics
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The paper is focused on the methodological aspects of different categories of numerical procedures to be used in data elaboration of digital images. In fact the common feature of digital imaging makes similar many techniques, which use different characteristics of

Automatic integration of construction images using digital imaging and pattern recognition tools
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In the modern, distributed and dynamic construction environment it is important to exchange information from different sources and in different data formats in order to improve the processes supported by these systems. Previous research has demonstrated that (i) a

Digital image processing for terrain pattern recognition
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The US Army Engineer Topographic Laboratories have evaluated and tested a prototype digital image processing system for performing pattern recognition experiments. Tests and procedures are described for evaluating the Natural Image Computer (NIC) with its systems

A Comprehensive Approach for Fruit Pattern Recognition Under the Framework of Digital Image Processing
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An appearance-based fruit recognition method called the Laplacian approach. By using Locality Preserving Projections (LPP), the fruit images are mapped into a fruit image subspace for analysis. Different from Principal Component Analysis (PCA) and Linear

Applying Statistical and Syntactic Pattern Recognition Techniques to the Detection of Fish in Digital Images
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This study is an attempt to simulate aspects of human visual perception by automating the detection of specific types of objects in digital images. The success of the methods attempted here was measured by how well results of experiments corresponded to what a typical

The digital pattern recognition system by Fourier masks
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The digital system by Fourier masks works with the modulus of the Fourier transform of the image I, that is| FT (I)|, because in this way the system is shift invariance in an easy manner. To obtain the rotational invariance, binary rings masks are build using the real and

Method of object replacement for hybrid optical- digital pattern recognition systems
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As shown in , when solving the problem of recognition , replacing the real object images in 4F-correlators by specific synthesized phase objects (SP-objects) unambiguously related to them results in increased signal-to-noise ratio of correlation signals and unification of their

Appendix 1: Current status of the digital pattern recognition program at BNL
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I might mention that the track reconstruction program has been worked on principally by Bob Marr and myself and the other two phases have been worked on by Bill Beard and Betty Weneser. I think that in terms of describing where these things stand, the first is in the most

Multistage Pattern Recognition for Digital Landscape Modelling
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On the way to a politically unified Europe inventories have to be made of the territory of the member countries following standardized procedures and specifications. An initiative of the European Organization for Experimental Photogrammetric Research (OEEPE) aims at





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