• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.2
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• pp.445-451
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• 2010

This paper presents a threshold adaptation based voice query transcription scheme for music information retrieval. The proposed scheme analyzes monophonic voice signal and generates its transcription for diverse music retrieval applications. For accurate transcription, we propose several advanced features including (i) Energetic Feature eXtractor (EFX) for onset, peak, and transient area detection; (ii) Modified Windowed Average Energy (MWAE) for defining multiple small but coherent windows with local threshold values as offset detector; and finally (iii) Circular Average Magnitude Difference Function (CAMDF) for accurate acquisition of fundamental frequency (F0) of each frame. In order to evaluate the performance of our proposed scheme, we implemented a prototype music transcription system called AMT2 (Automatic Music Transcriber version 2) and carried out various experiments. In the experiment, we used QBSH corpus [1], adapted in MIREX 2006 contest data set. Experimental result shows that our proposed scheme can improve the transcription performance.

• Structural Engineering and Mechanics
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• v.4 no.6
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• pp.601-612
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• 1996

To simulate the large-scale failure evolution with current computational facilities, a simple approach, that catches the essential feature of failure mechanisms, must be available so that the routine use of failure analysis is feasible. Based on the previous research results, a simple analysis procedure is described in this paper for failure simulation. In this procedure, the evolution of localization is represented by a moving surface of discontinuity, and the transition between continuous and discontinuous failure modes are described via the moving jump forms of conservation laws. As a result, local plasticity and damage models, that are formulated based on thermodynamic restrictions, are still valid without invoking higher order terms, and simple integration schemes can be designed for the rate forms of constitutive models. To resolve localized large deformations and subsequent cracking, an efficient structural solution scheme is given for Static and dynamic problems.

• Journal of Institute of Control, Robotics and Systems
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• v.6 no.1
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• pp.112-119
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• 2000

A die-casting junction method is usually used to manufacture the tub of an IH(induction heating) jar. If there is a very small air bubble in the junction area, the thermal conductivity is deteriorated and local overheat occurs. Such problem brings serious inferiority of the IH jar. In this paper, we propose a new method to detect such defect with simply measured thermal data. Thermal distribution of preheated tubs is obtained by scanning with infrared thermal sensors and analyzed with the statistic pattern recognition method. By defining the characteristic feature as the temperature difference between sensors and using ellipsoid function as decision boundary, a supervised learning method of genetic algorithm is proposed to obtain the required parpameters. After applying the proposed method to experiment, we have proved that the rate of recognition is high even for a small number of data set.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.28B no.9
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• pp.739-746
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• 1991

This paper develops a modified multilayer perceptron architecture which speeds up learning as well as the net's mapping accuracy. In Phase I, a cluster partitioning algorithm like the Kohonen's self-organizing feature map or the leader clustering algorithm is used as the front end that determines the cluster to which the input data belongs. In Phase II, this cluster selects a subset of the hidden layer nodes that combines the input and outputs nodes into a subnet of the full scale backpropagation network. The proposed net has been applied to two mapping problems, one rather smooth and the other highly nonlinear. Namely, the inverse kinematic problem for a 3-link robot manipulator and the 5-bit parity mapping have been chosen as examples. The results demonstrate the proposed net's superior accuracy and convergence properties over the original backpropagation network or its existing improvement techniques.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2358-2361
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• 2001

In recent years there have been increasing interests in real-time object tracking with image information. Since image information is affected by illumination, this paper presents the real-time object tracking method based on neural networks which have robust characteristics under various illuminations. This paper proposes three steps to track the object and the fast tracking method. In the first step the object color is extracted using neural networks. In the second step we detect the object feature information based on invariant moment. Finally the object is tracked through a shape recognition using neural networks. To achieve the fast tracking performance, this paper first has a global search of entire image and tracks the object through local search when the object is recognized.

• Journal of the Korean Institute of Landscape Architecture International Edition
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• no.1
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• pp.131-134
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• 2001

Green and plants, as it symbol the life and depute the nature, always give human an easy comfort psychologically. The paper is a brief analysis to the idea frame of urban construction and reform of Kunming through our practice about ten years. On which three main principles should be carefully considered. One is that the green-space composed of plant system is of the important infrastructure of a modern city as it can not be instead of by any other factor in the ecological system of the city. The other is that in the course of planning and construction the local feature as well as its culture tradition in history should be pied more attention. In order to create a distinguish character of itself the third may be more important that to coordinate each key elements of it such as green, water, light, building, road, etc., to get a harmonious sphere of human and nature. A modern city should be a green city in which nature and man co-exist harmoniously.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.604-606
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• 2003

본 논문은 향상된 Scale Invariant Feature Transform (SIFT) 기법과 이로부터 얻어진 로컬 특징 영역에서 다중특징을 이용한 물체인식 방법에 대하여 논하였다. SIFT 기법 [1]은 물체의 크기. 회전. 3차원 좌표변환에 강인한 특성을 갖는다. 이 기법에서는 크기가 다른 가우시안 (Gaussian) 함수를 적용한 영상들의 차이에서의 최대 및 최소값이 특징점으로 결정된다. 하지만 SIFT 알고리듬의 특성상, 인식되어야 될 물체의 비교적 큰 크기 변화, 중요도가 낮은 특징점들의 추출, 그리고 서로 다른 물체에서 추출된 유사한 특징벡터등이 인식 시스템의 신뢰도를 저하 시킬 수 있다. 이에 대응방안으로, 본 논문에서는 상대적으로 낮은 인식정보를 갖는 추출된 특징점을 제거하기 위한 기법과 서로 다른 물체에서 생성된 유사 특징벡터의 구분을 위한 특징점에서의 방위 (orientation) 비교법 및 색차 (chrominance) 정보를 사용에 대하여 기술하였다.

• Smart Media Journal
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• v.2 no.1
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• pp.31-36
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• 2013

A robust and efficient text extraction is very important for an accuracy of Optical Character Recognition (OCR) systems. Natural scene images with degradations such as uneven illumination, perspective distortion, complex background and multi color text give many challenges to computer vision task, especially in text extraction. In this paper, we propose a method for extraction of the text in signboard images based on a combination of mean shift algorithm and weighting scheme of hue and saturation in HSI color space for clustering algorithm. The number of clusters is determined automatically by mean shift-based density estimation, in which local clusters are estimated by repeatedly searching for higher density points in feature vector space. Weighting scheme of hue and saturation is used for formulation a new distance measure in cylindrical coordinate for text extraction. The obtained experimental results through various natural scene images are presented to demonstrate the effectiveness of our approach.

• Korea-Australia Rheology Journal
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• v.12 no.1
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• pp.39-53
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• 2000

Using a variety of examples from the recent literature on extensional flow of polymer solutions, this paper shows that simple constitutive equations are unable to capture the diversity of chain conformations in such flows. Such diversity is a feature of extensional flows and arises because deformation leads to significant chain extension. Substantial local extension appears even at low strains and the behaviour of these stretched out portions influences the dynamics of the chain and makes a dominant contribution to the stress. Both the distribution function and the chain conformation appear to follow different paths during stretching and relaxation. As a result the second moment of the distribution function does not contain enough information to correctly predict the dynamics. Resolution of this deficiency in simple constitutive models is one of the challenges for rheology.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.878-880
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• 2015

파티클 필터 기반 얼굴추적은 비교적 빠른 속도와 구현의 용이성으로 널리 사용되고 있으나 조명이나 포즈변화가 있는 영상에서 드리프트(drift) 현상에 의해 얼굴추적의 정확도가 급격히 저하된다. 본 논문에서는 앞에 언급한 얼굴의 다양성에 강인한 얼굴 텍스처 특징을 제안한다. 제안방법은 인접한 픽셀들 간의 관계를 고려한 텍스처 패턴을 정의할 때 인접한 픽셀들의 평균(average)을 적용하여 조명변화에 강인하다. 또한 얼굴의 구조적 정보를 반영한 블록 기반의 텍스처 패턴 풀링(pooling)에 의해 포즈변화에 강인하다. 실제 감시환경을 가정해 CCTV 카메라로 자체 제작한 비디오 영상에서 Local Binary Pattern(LBP)와 같은 대표적인 특징들과 비교 실험을 수행하였다. 실험결과, 드리프트(drift) 폭이 적어 더 높은 얼굴추적 정확도를 보였으며 초당 28 프레임의 매우 빠른 처리속도를 보였다.