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检索条件"主题词=Detection Algorithms"

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Research on Two-Dimensional Bar Code Positioning Approach Based on Convex Hull Algorithm

Research on Two-Dimensional Bar Code Positioning Approach Ba...

引用

International Conference on Digital Image Processing, ICDIP

作者： Zhi Liu Herong Zheng Wenting Cai Software College Zhejiang University of Technology Hangzhou China

During the process of the recognizing two-dimensional bar code, the two-dimensional bar can be corrected further only after accurately positing bar code in original image. In this paper, in case of the two-dimensional bar data matrix, the concept of convex hull in computational geometry is used to locate bar code in the paper. The vertices in convex hulls are selected from the list of pixels in order to reduce the number of the pixel processed. At the same time, the positioning graphics features of data matrix is set as selecting conditions in order to get the vertices in convex hulls in the area of positioning two-dimensional bar code finally. This algorithm overcomes the shortcomings of traditional straight-line detection algorithm as a result of the overall detection and the need to a large number of memory space. The experimental results show that the algorithm can position the area of distorted or tilted two-dimensional bar code effectively. It can reduce accurate positioning time.

关键词： Graphics Computational geometry detection algorithms Data mining Digital images Software algorithms Educational institutions Image recognition Cryptography Shape

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The effect of symmetry in representation on scenario-based risk assessment for air-traffic conflict resolution strategies.

The effect of symmetry in representation on scenario-based r...

引用

Congress on Evolutionary Computation

作者： S. Alam J. Tang H.A. Abbass C.J. Lokan School of ITEE University of New South Wales Canberra ACT Australia

Evaluating conflict resolution algorithms in the air-traffic domain is a challenging task. These algorithms are usually tested using a pair of aircraft or a limited number of geometries involving multiple aircraft. Our previous work demonstrated the use of evolutionary computation for risk assessment of air-traffic conflict detection algorithms using a red-teaming (or playing the devil) approach. This paper extends our previous work to conflict resolution and investigate the effect of symmetry in the representation on the performance of the evolutionary operators.

关键词： Risk management Biological cells Evolutionary computation Aircraft Genetic algorithms detection algorithms Air traffic control Testing Costs Technology management

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A Provider-Level Reputation System for Assessing the Quality of SPIT Mitigation algorithms

A Provider-Level Reputation System for Assessing the Quality...

引用

IEEE International Conference on Communications (ICC)

作者： C. Sorge J. Seedorf Network Research Division NEC Laboratories Europe NEC Europe Limited Heidelberg Germany

The prevention of Spam over IP telephony (SPIT) is one of the greatest challenges for future large-scale deployments of VoIP telephony solutions. Some useful information for detecting SPIT calls is only available at the caller's VoIP provider. Recent approaches therefore suggest the signalling of such information among providers. However, there is currently no way for a receiving provider to assess the trustwortiness or the semantics of SPIT-related information received. Our approach tackles this problem by applying a provider-level reputation system, based on SPIT tags assigned to outgoing SIP messages by the caller's provider. The system provides an incentive to tag outgoing calls correctly, and it translates tags with arbitrary semantics into meaningful SPIT probabilities. We show analytically that our system significantly improves the receiving provider's assessment of SPIT tags.

关键词： Internet telephony Tagging Electronic mail Unsolicited electronic mail Communications Society National electric code Laboratories Europe detection algorithms Collaboration

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A no-reference perceptual blur metric using histogram of gradient profile sharpness

A no-reference perceptual blur metric using histogram of gra...

引用

IEEE International Conference on Image Processing

作者： Luhong Liang Jianhua Chen Siwei Ma Debin Zhao Wen Gao Institute of Computing Technology Chinese Academy and Sciences Beijing China Chinese Academy and Sciences Beijing China Peking University Beijing China Harbin Institute of Technology Harbin China

No-reference measurement of blurring artifacts in images is a challenging problem in image quality assessment field. One of the difficulties is that the inherently blurry regions in some natural images may disturb the evaluation of blurring artifacts. In this paper, we study the image gradients along local image structures and propose a new perceptual blur metric to deal with the above problem. The gradient profile sharpness of image edge is efficiently calculated along horizontal or vertical direction. Then the sharpness distribution histogram rectified by just noticeable distortion (JND) threshold is used to evaluate the blurring artifacts and assess the image quality. Experimental results show that the proposed method can achieve good image quality prediction performance.

关键词： Histograms Videos Spatiotemporal phenomena Smoothing methods Stability Feature extraction Image edge detection detection algorithms Optical character recognition software Indexing

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An Election Protocol in Mobile Ad Hoc Distributed Systems

An Election Protocol in Mobile Ad Hoc Distributed Systems

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International Conference on Information Technology: New Generations (ITNG)

作者： Sung-Hoon Park Tae-Gyu Lee Hyung-Seok Seo Seok-Jin Kwon Jong-Ho Han School of Electrical and Computer Engineering Chungbuk National University Cheonghu Chungbuk South Korea

ISBN: (纸本)9781424437702

The election paradigm can be used as a building block in many practical problems such as group communication, atomic commit and replicated data management where a protocol coordinator might be useful. The problem has been widely studied in the research community since one reason for this wide interest is that many distributed protocols need an election protocol. However, despite its usefulness, to our knowledge there is no work that has been devoted to this problem in a mobile ad hoc computing environment. Mobile ad hoc systems are more prone to failures than conventional distributed systems. Solving election in such an environment requires from a set of mobile nodes to choose a unique node as a leader based on its priority despite failures or disconnections of mobile nodes. In this paper, we describe a solution to the election problem from mobile ad hoc computing systems. This solution is based on the group membership detection algorithm.

关键词： Nominations and elections Protocols Mobile computing Clustering algorithms Scattering detection algorithms Intrusion detection Mobile ad hoc networks Information technology Distributed power generation

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Identification of structured motifs

Identification of structured motifs

引用

IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)

作者： Huitao Sheng Kishan Mehrotra Chilukuri Mohan Ramesh Raina Department of Electrical Engineering & Computer Science Syracuse University Syracuse NY USA Department of Biology Syracuse University Syracuse NY USA

Structured motifs consist of two simpler patterns (half-sites) separated from each other by a gap, with no restriction on the nucleotides that may occur within the gap. This paper proposes a new algorithm to identify structured motifs. First, a simpler motif searching algorithm is used to search for half-sites. Candidate structured motif models are then evaluated, based on the relative frequency of occurrence of half-sites (not attributable to randomness), and the distribution of gap length. Unlike other recent structured motif detection algorithms, the new algorithm does not require the gap length to be prespecified.

关键词： Frequency Gene expression DNA Random sequences Computer science Biology detection algorithms Stress Algorithm design and analysis Organisms

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Walking assistance system for sight impaired people based on a multimodal information transformation technique

Walking assistance system for sight impaired people based on...

引用

SICE Annual Conference

作者： JaeHyoung Yu Hwan-Ik Chung Hernsoo Hahn Department of Electronic Engineering Soongsil University Seoul South Korea Department of Internet Information Kyungbok College South Korea

A multimodal information transformation system is proposed in this paper to provide sight impaired people with scene information of walking areas and obstacles. The scene information is first acquired as images using a single CCD camera, and then image information is transformed into voice information so that sight impaired people can obtain by hearing instead of seeing. During scene image processing period, the walking area is extracted by the vanishing point and boundary of a sidewalk on edge image using a chain-code line detection algorithm. And obstacles are detected by applying Gabor filter to the vertical lines extracted from the walking area on image. Later, based on the above image information, voice information is constructed in the form of pre-defined sentences by combining a set of template words that represent walking areas, obstacles, directions and distances. With the help of voice instructions provided by this multi-modal information transformation system, sight impaired people are able to reach their destinations safely and conveniently. The proposed algorithm has been implemented and tested in both indoor and outdoor environment, and its superiority in providing exact walking instructions has been verified.

关键词： Legged locomotion Layout Data mining Charge coupled devices Charge-coupled image sensors Auditory system Image processing Image edge detection detection algorithms Gabor filters

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An automated web surface inspection for hot wire rod using undecimated wavelet transform and support vector machine

An automated web surface inspection for hot wire rod using u...

引用

Annual Conference of Industrial Electronics Society

作者： Changhyun Park SangChul Won Graduate Institute of Ferrous Technology Pohang University of Science and Technology Pohang South Korea Department of Electronic and Electrical Engineering Pohang University of Science and Technology Pohang South Korea

This paper presents defect detection and classification method for hot wire rod in the steel industry. The detection algorithm is based on undecimated discrete wavelet transform (UDWT). The algorithm utilizes the translation invariant property of UDWT. To discriminate the real defects and pseudo defects, we use support vector machine (SVM). The total 14 feature attributes are extracted from binary and gray image. To select best model for SVM classier, we search the parameter spaces by exponentially growing sampling test. The experimental results show the proposed methods can be applied to real-world application.

关键词： Surface waves Inspection Wire Wavelet transforms Support vector machines Discrete wavelet transforms Support vector machine classification Metals industry detection algorithms Feature extraction

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Isolated Digit Speech Recognition in Malay Language Using Neuro-Fuzzy Approach

Isolated Digit Speech Recognition in Malay Language Using Ne...

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Asia International Conference on Modeling & Simulation

作者： Reem Sabah Raja N. Ainon Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia

ISBN: (纸本)9781424441549

In this paper we discuss the development and implementation of an automated speaker-independent isolated Malay digit speech recognition system. The system is developed using Neuro-Fuzzy approach that combines the human-like reasoning style of fuzzy systems and the learning and connectionist structure of neural networks. To recognize the Malay speech digits, the endpoint detection algorithm is used to trim the silent duration in speech sample, the Mel Frequency Cepstral Coefficient technique is used to extract speech features, the subtractive clustering algorithm is applied to identify the fuzzy inference system, and the Adaptive Neuro Fuzzy Inference System (ANFIS) is used as a modern classification technique to train in identifying the features of speech. The performance of the system was evaluated by using 630 speech samples for training and testing, and experimental results showed that an overall 85.24% recognition rate was achieved.

关键词： Speech recognition Natural languages Fuzzy systems Neural networks Automatic speech recognition detection algorithms Mel frequency cepstral coefficient Feature extraction Clustering algorithms Inference algorithms

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Shape-adaptivewavelet encoding of depth maps

Shape-adaptivewavelet encoding of depth maps

引用

Picture Coding Symposium, PCS

作者： Matthieu Maitre Minh N. Do Microsoft Windows Experience Group Redmond USA Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign USA

We present a novel depth-map codec aimed at free-viewpoint 3DTV. The proposed codec relies on a shape-adaptive wavelet transform and an explicit representation of the locations of major depth edges. Unlike classical wavelet transforms, the shape-adaptive transform generates small wavelet coefficients along depth edges, which greatly reduces the data entropy. The wavelet transform is implemented by shape-adaptive lifting, which enables fast computations and perfect reconstruction. We also develop a novel rate-constrained edge detection algorithm, which integrates the idea of significance bitplanes into the Canny edge detector. Along with a simple chain code, it provides an efficient way to extract and encode edges. Experimental results on synthetic and real data confirm the effectiveness of the proposed algorithm, with PSNR gains of 5 dB and more over the Middlebury dataset.

关键词： Encoding Wavelet transforms Codecs Wavelet coefficients Entropy detection algorithms Detectors Data mining PSNR Gain

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