• Journal of Advanced Navigation Technology
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• v.12 no.1
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• pp.74-81
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• 2008

In this paper, adaptive watermarking algorithm which based on fuzzy reasoning and hybrid scheme is presented. To enforce the time and space complexity, hybrid scheme which utilize a color information as well as visual characteristics is also addressed. Proposed approach have double-aim: in first to use the visual characteristics so as to enforce the robustness of watermarking, and in second to select the optimal sub-band which is to be embedded a watermark. One of the principal advantage is that this approach involved the fuzzy inference module which is designed to select an optimal sub-band from the DWT coefficient blocks. In order to demonstrate the effectiveness of proposed algorithm, some numerical experiments of robustness and imperceptibility are evaluated with respect to such attacks as JPEG compression, noise and cropping.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.5
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• pp.661-666
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• 2009

Modular snake-like robots, which consist of series of modules, are robust for failure and have flexible locomotions for environment. However, they are difficult to control and few efficient and various locomotions are introduced yet. In this paper, GA based phase generation and trajectory generation approaches are implemented and compared for locomotion of snake-like robots and extended for analysis for selections of partial modules. In addition, modeling and simulation environments are implemented in Webots simulator and above GA based experiments for locomotion are executed for KMC snake-like robot.

• Proceedings of the Korea Society for Simulation Conference
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• 1998.10a
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• pp.62-64
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• 1998

유전 알고리즘은 전통적인 등반 알고리즘을 이용하여 구하기 어려웠던 최적화 문제를 해결하기 위한 강인한 (Robust) 탐색 기법이다. 특히 목적함수가 (1)여러 개의 국부 최대치를 가지거나 (2)수학적으로 표현이 불가능하거나 어렵거나 (3) 목적함수에 교란항이 섞여 있을 경우도 우수한 탐색 능력을 갖는 것으로 알려져 있다. 본 논문에서는 군집성 분석(cluster analysis)을 이용하여 군집화함으로써 유전 알고리즘을 이용하여 나타나는 다양한 해집합을 형성하는 개체군을 그룹화하고, 각 군집에 부여된 군집 적합도에 따라서 최적해를 구함으로써 최적값에 근접시킬 수 있는 탐색 알고리즘을 제안하였으며, 시뮬레이션의 출력이 특정한 테스트 함수의 형태로 나타난다고 가정한 경우에 확률적으로 나타나는 시뮬레이션 모델의 출력을 최대화하는 문제에 대하여 적용하고 분석하였다.

• The Journal of the Acoustical Society of Korea
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• v.41 no.3
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• pp.326-334
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• 2022

In this paper, we propose speech enhancement algorithm as a pre-processing for robust speech recognition in noisy environments. Auxiliary-function-based Independent Vector Analysis (AuxIVA) is performed with weighted covariance matrix using time-varying variances with scaling factor from target masks representing time-frequency contributions of target speech. The mask estimates can be obtained using Neural Network (NN) pre-trained for speech extraction or diffuseness using Coherence-to-Diffuse power Ratio (CDR) to find the direct sounds component of a target speech. In addition, outputs for omni-directional noise are closely chained by sharing the time-varying variances similarly to independent subspace analysis or IVA. The speech extraction method based on AuxIVA is also performed in Independent Low-Rank Matrix Analysis (ILRMA) framework by extending the Non-negative Matrix Factorization (NMF) for noise outputs to Non-negative Tensor Factorization (NTF) to maintain the inter-channel dependency in noise output channels. Experimental results on the CHiME-4 datasets demonstrate the effectiveness of the presented algorithms.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.39 no.2
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• pp.10-20
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• 2002

Various blind source separation (BSS) and independent component analysis (ICA) algorithms have been developed. However, comparison study for BSS/ICA algorithms has not been extensively carried out yet. The main objective of this paper is to compare various promising BSS/ICA algorithms in terms of several factors such as robustness to sensor noise, computational complexity, the conditioning of the mixing matrix, the number of sensors, and the number of training patterns. We propose several benchmarks which are useful for the evaluation of the algorithm. This comparison study will be useful for real-world applications, especially EEG/MEG analysis and separation of miked speech signals.

• Journal of Digital Convergence
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• v.16 no.3
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• pp.353-362
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• 2018

The purpose of this study was to investigate the effect of character strength and self-efficacy on subjective happiness of adult learners of distance nursing education. The subjects were 261 adult learners of Bachelor Science in nursing course for Registered Nurse of a national open university. The mean score of subjective happiness of subjects was a little lower. 'Transcendence and Humanity' among Character Strength was the highest and 'Justice' was the lowest. Multiple regressions showed that positive integrity, hardiness, and perceived health status explained 38.0% of subjective happiness and positive integrity was the main influencing factor. The learning supporting strategies focusing on reinforcing these factors are needed to improve the subjective happiness of nurses who are continuing their learning through distance education.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2002.05a
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• pp.381-386
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• 2002

2002년 7월 1일부터 시행되는 제조물 책임법에 대비하여 기업에서 준비하여야 하는 사항중에 가장 어려움을 느끼는 부분중의 하나가 제품의 안전성 평가 부문이다. 제품의 안전성 평가는 과거의 성능검사나 특성검사가 아니라, 사용자의 오사용으로 야기될 수 있는 위험성의 평가까지도 고려하여야 한다. 이에 대표적인 정량적 안전성 평가기법인 FTA(Fault Tree Analysis)를 사용하여 전기 밥솥에 대한 정량적 평가를 실시하여 보았다. 전기밥솥에서의 잠재위험 중 가장 피해가 클것으로 생각되는 화재를 정상사상으로 하고 이에 대하여 m.cutset 분석과 빈도분석 등을 시행하여 제품안전성평가의 과정과 분석방법들을 설명한다.(중략)

• Journal of Internet Computing and Services
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• v.17 no.3
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• pp.19-24
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• 2016

The minimum error entropy (MEE) algorithm is known to be superior in impulsive noise environment. In this paper, the optimum solutions and properties of the MEE algorithm are studied in regard to the robustness against impulsive noise. From the analysis of the behavior of optimum weight and factors related with mitigation of influence from large errors, it is revealed that the magnitude controlled input entropy plays the main role of keeping optimum weight of MEE undisturbed from impulsive noise. In the simulation, the optimum weight of MEE is shown to be the same as that of MSE criterion.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.6
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• pp.780-785
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• 2010

This paper introduces GP(Genetic Programming) based color detection model for an object detection and tracking. Existing color detection methods have used linear/nonlinear transformatin of RGB color-model and improved color model for illumination variation by optimization or learning techniques. However, most of cases have difficulties to classify various of colors because of interference of among color channels and are not robust for illumination variation. To solve these problems, we propose illumination robust and non-parametric multi-colors detection model using evolution of GP. The proposed method is compared to the existing color-models for various colors and images with different lighting conditions.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.6
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• pp.151-156
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• 2018

Because of its large differences in writing style, context-independency and high recognition accuracy requirement, free handwritten digital identification is still a very difficult problem. Analyzing the characteristic of handwritten digits, this paper proposes a new handwritten digital identification method based on combining structural features. Given a handwritten digit, a variety of structural features of the digit including end points, bifurcation points, horizontal lines and so on are identified automatically and robustly by a proposed extended structural features identification algorithm and a decision tree based on those structural features are constructed to support automatic recognition of the handwritten digit. Experimental result demonstrates that the proposed method is superior to other general methods in recognition rate and robustness.