• Title/Summary/Keyword: improving accuracy

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A New Refinement Method for Structure from Stereo Motion (스테레오 연속 영상을 이용한 구조 복원의 정제)

  • 박성기;권인소
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.11
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    • pp.935-940
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    • 2002
  • For robot navigation and visual reconstruction, structure from motion (SFM) is an active issue in computer vision community and its properties arc also becoming well understood. In this paper, when using stereo image sequence and direct method as a tool for SFM, we present a new method for overcoming bas-relief ambiguity. We first show that the direct methods, based on optical flow constraint equation, are also intrinsically exposed to such ambiguity although they introduce robust methods. Therefore, regarding the motion and depth estimation by the robust and direct method as approximated ones. we suggest a method that refines both stereo displacement and motion displacement with sub-pixel accuracy, which is the central process f3r improving its ambiguity. Experiments with real image sequences have been executed and we show that the proposed algorithm has improved the estimation accuracy.

Various Approaches to Improve Exclusion Performance of Non-similar Candidates from N-best Recognition Results on Isolated Word Recognition (고립 단어 인식 결과의 비유사 후보 단어 제외 성능을 개선하기 위한 다양한 접근 방법 연구)

  • Yun, Young-Sun
    • Phonetics and Speech Sciences
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    • v.2 no.4
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    • pp.153-161
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    • 2010
  • Many isolated word recognition systems may generate non-similar words for recognition candidates because they use only acoustic information. The previous study [1,2] investigated several techniques which can exclude non-similar words from N-best candidate words by applying Levenstein distance measure. This paper discusses the various improving techniques of removing non-similar recognition results. The mentioned methods include comparison penalties or weights, phone accuracy based on confusion information, weights candidates by ranking order and partial comparisons. Through experimental results, it is found that some proposed method keeps more accurate recognition results than the previous method's results.

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Numerical simulation and development of scheme for compressible flows(Application of BGK method) (압축성 유동의 수치해석 및 수치해법 개발(BGK 기법의 적용))

  • 신동신;김종암;노오현
    • Journal of the Korean Society of Propulsion Engineers
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    • v.5 no.1
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    • pp.1-9
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    • 2001
  • BGK schemes are developed by improving the standard BGK numerical method. Shceme 1 uses the Osher's Godunov type solution and scheme 2 are developed to overcome the problems of scheme 1.The improved schemes show many unique properties such as entropy condition, positivity condition, higher order gas evolution model, which lead to an high degree of robustness and accuracy. The scheme 2 especially overcomes the shortcomings of the scheme 1 and posseses many superior properties that cannot be found ohter numerical schemes, and is expected to apply various problems with high accuracy and robustness.

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Study on DAS-Based Time Synchronization for Improving Reliability of Section Load Estimation

  • Lee, In-tae;Lee, Ji-Hoon;Jung, Nam-Joon;Jung, Young-Beom;Lee, Byung-sung
    • KEPCO Journal on Electric Power and Energy
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    • v.1 no.1
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    • pp.61-65
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    • 2015
  • For effective distribution planning and operation, we need a reliable estimation of operation capacity. But it is difficult to ensure reliability due to the low accuracy of section load data, which is used as a basis in estimating the operation capacity. This paper discusses how to improve the accuracy of section load data by analyzing the existing method of estimating the section load, using statistical techniques to adjust the acquired data, and using the section load estimation algorithm to estimate the section load based on the adjusted data.

Morphological Feature Parameter Extraction from the Chromosome Image Using Reconstruction Algorithm (염색체 영상의 재구성에 의한 형태학적 특징 파라메타 추출)

  • 장용훈;이권순
    • Journal of Biomedical Engineering Research
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    • v.17 no.4
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    • pp.545-552
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    • 1996
  • Researches on chromosome are very significant in cytogenetics since a gene of the chromosome controls revelation of the inheritance plasma The human chromosome analysis is widely used to diagnose genetic disease and various congenital anomalies. Many researches on automated chromosome karyotype analysis has been carried out, some of which produced commercial systems. However, there still remains much room for improving the accuracy of chromosome classification. In this paper, we propose an algorithm for reconstruction of the chromosDme image to improve the chromosome classification accuracy. Morphological feature parameters are extracted from the reconstructed chromosome images. The reconstruction method from chromosome image is the 32 direction line algorithm. We extract three morphological feature parameters, centromeric index(C.I.), relative length ratio(R.L.), and relative area ratio(R.A.), by preprocessing ten human chromosDme images. The experimental results show that proposed algorithm is better than that of other researchers'comparing by feature parameter errors.

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Enhanced Equivalent Circuit Modeling for Li-ion Battery Using Recursive Parameter Correction

  • Ko, Sung-Tae;Ahn, Jung-Hoon;Lee, Byoung Kuk
    • Journal of Electrical Engineering and Technology
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    • v.13 no.3
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    • pp.1147-1155
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    • 2018
  • This paper presents an improved method to determine the internal parameters for improving accuracy of a lithium ion battery equivalent circuit model. Conventional methods for the parameter estimation directly using the curve fitting results generate the phenomenon to be incorrect due to the influence of the internal capacitive impedance. To solve this phenomenon, simple correction procedure with transient state analysis is proposed and added to the parameter estimation method. Furthermore, conventional dynamic equation for correction is enhanced with advanced RC impedance dynamic equation so that the proposed modeling results describe the battery dynamic characteristics more exactly. The improved accuracy of the battery model by the proposed modeling method is verified by single cell experiments compared to the other type of models.

The cluster-indexing collaborative filtering recommendation

  • Park, Tae-Hyup;Ingoo Han
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2003.05a
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    • pp.400-409
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    • 2003
  • Collaborative filtering (CF) recommendation is a knowledge sharing technology for distribution of opinions and facilitating contacts in network society between people with similar interests. The main concerns of the CF algorithm are about prediction accuracy, speed of response time, problem of data sparsity, and scalability. In general, the efforts of improving prediction algorithms and lessening response time are decoupled. We propose a three-step CF recommendation model which is composed of profiling, inferring, and predicting steps while considering prediction accuracy and computing speed simultaneously. This model combines a CF algorithm with two machine learning processes, SOM (Self-Organizing Map) and CBR (Case Based Reasoning) by changing an unsupervised clustering problem into a supervised user preference reasoning problem, which is a novel approach for the CF recommendation field. This paper demonstrates the utility of the CF recommendation based on SOM cluster-indexing CBR with validation against control algorithms through an open dataset of user preference.

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A Study on the Improvement of Accuracy of the Fixed Position(II) (實測船位의 精度改善에 관한 硏究 (II) -天測位置의 改善-)

  • 윤여정;하주식
    • Journal of the Korean Institute of Navigation
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    • v.6 no.2
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    • pp.1-12
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    • 1982
  • The tedious work, connected to the traditional computation of altitudes and azimuths and the plotting of the position lines, has been a severe objection to celestial fixes. But recently computers have become to be used generally for computations of altitudes and aximuths and the computing objection seems to be practically overruled. Now it seems appropriate to concentrate on other problems which are the procedure of improving accuracy of ship's position and the design of a general computing procedure to determine the coordinates of the optimally estimated ship's position. In this paper, such procedures as an application of Kalman filter and the results of the Digital simulation conducted under various noise conditiions are presented. The positions estimated by Kalman filter are compared with the running fixes and the most probable positions obtained from a single position line, and it is confirmed that the resutls of the proposed method is evidently accurate than others.

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A Study on Accuracy Improvements of Positioning System for Location-Based Service (위치기반서비스의 측위시스템 정확도 향상에 관한 연구)

  • Choi, Chang-Mook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.10
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    • pp.2579-2585
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    • 2014
  • Location-Based Services can be defined as services that integrated a mobile network device's position with other information so as to provide added value to users. One of the most important elements in the LBS is the ability to locate objects. In this paper, the positioning techniques using radio signal were introduced, and the positioning principles and accuracies for LBS of smart phone were analyzed. As a result, the some techniques for improving user security were suggested.

십자매 암수 구별에 관한 연구

  • 장병귀;최철환;서옥석;나재천;강양수;하형돈
    • Proceedings of the Korea Society of Poultry Science Conference
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    • 2003.11a
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    • pp.131-132
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    • 2003
  • Common finch is a kind of ornamental birds and could not distinguish male and female birds. For sex discrimination of Common finch, we investigated 400 birds of Common finch using the anatomical differences of Pars intermandibularis and traditional methods that currently used at the farms. Both methods have the sex determination accuracy of 48.82 and 46.0 % that the anatomical difference method seems little higher results than the traditional methods. More researches is needed for improving the sex determination accuracy.

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