• Journal of the Society of Cosmetic Scientists of Korea
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• v.30 no.1
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• pp.85-91
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• 2004

In this study, we evaluated the crow's feet of 152 Korean women by using visual assessment established by our research group and mechanical assessment, Skin Visiometer SV 600. The volunteers were divided into 3 groups according to age; the group I of 30's was 43, the group II of 40's was 75, the group III of 50's was 34. The wrinkle score by visual assessment showed tendency to increase according to age and was statistically significant different among those three age groups (P 〈 0.05). But there was no significant difference between the left and the right of crow's feet. The 5 wrinkle parameters (RI, R2, R3, R4, R5) of mechanical assessment varied as age and the Rl, R4, and R5 showed statistically significant difference among three age groups (P 〈 0.05). However there was no significant difference between the left and the right of crow's feet. The volunteers were divided into 3 groups according to wrinkle score; (0-3 grade for group A, 4-6 grade for group B, 7-9 grade for group C). Only R4 and R5 showed significant difference between group A and group C (P 〈 0.05). It was suggested that visual scoring criteria applied in this study was related to R4 and R5 and was useful in investigating in fine wrinkles.

• Tunnel and Underground Space
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• v.22 no.3
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• pp.196-204
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• 2012

Quantification of roughness plays an important role in modeling strength deformability and fluid flow behaviors of rock joints. A procedure was suggested to simulate joint roughness, and characteristics of the roughness was investigated in this study. Stationary fractional Brownian profiles with known input values of the fractal parameter and other profile properties were generated based on random midpoint displacement method. Also, a procedure to simulate three dimensional roughness surface was suggested using the random midpoint displacement method. Selected statistical roughness parameters were calculated for the generated self-affine profiles to investigate the attribute of roughness. Obtained results show that statistical parameters applied in this study were able to consider correlation structure and amplitude of the profiles. However, effect of data density should be tackled to use statistical parameters for roughness quantification.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.101-101
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• 2017

근래에 대한민국 담수계에 조류 대발생으로 인한 수질악화 문재가 대두되고 있다. 또한 독성물질을 생성하는 남조류종이 우점하는 현상으로인해 수질문제와더불에 생태계와 인간의 건강도 잠재적인 위험을 받고있는 실정이다. 이와같은 조류 대발생으로인한 피해를 최소화하기위해 효과적인 수질관리가 필수적이다. 원격탐사기술은 조류의 공간적인 분포를 해석하고 농도를 정량화하기위해 이용되고 있다. 현재까지 많은 분광알고리즘들이 개발되어 담수유역에 적용이 되고 있다. 수체마다 다른 분광특성 때문에 알고리즘내의 파라미터 및 분광밴드 조정이 필수적이다. 하지만 대부분의 연구에선 파라미터와 밴드의 변경에 따른 결과향상에만 초점이 맞춰지고 있어 분광알고리즘내의 파라미터와 분광밴드사이의 관계 이해 뿐만아니라 알고리즘 최종 산출물에 대한 영향에 관한 설명이 전무한 실정이다. 본 연구에선, 대한민국 백제보를 대상으로 현장모니터링 및 조류추출 실험을 진행하였고, 이를 기반으로 5가지 클로로필a 알고리즘과 2가지 피코시아닌 알고리즘을 구축하였다. 알고리즘내에서 변수들의 관계와 영향을 알아보기위해 민감도 분석을 실시하였다. 민감도 분석 조건을 기반으로 one-objective 최적화 및 multi-objective 최적화를 실시하여 백제보수계를 대표할 수 있는 최적 변수들을 모의하였다. 민감도 분석결과 후방산란계수에 영향을 미치는 파라미터와 조류 생체량에 영향을 미치는 파라미터가 다른 변수들 및 알고리즘 농도산정결과에 가장 민감한 것으로 나타났다. multi-objective 최적화 결과가 one-objective 결과 및 reference 결과보다 대부분 정확도가 향상되었고 흡광도 계수를 함께 고려할 수 있기 때문에 백제보 수계의 분광특성을 함께 고려하여 대표할 수 있는 장점을 가지는 것으로 나타났다. 따라서, 본 연구는 민감도 분석을 활용하여 분광알고리즘 내의 변수들의 이해를 도모하였고, 최적화 기법 중, multi-objective 최적화 기법이 백제보의 분광특성을 대변하는 최적변수를 제시할 수 있음과 동시에 보다 나은 정확성을 제고할 수 있음을 확인하였다.

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.329-335
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• 2010

Digital imaging detectors can use a variety of detection materials to convert X-ray radiation either to light or directly to electron charge. Many detectors such as amorphous silicon flat panels, CCDs, and CMOS photodiode arrays incorporate a scintillator screen to convert x-ray to light. The digital radiography systems based on semiconductor detectors, commonly referred to as flat panel detectors, are gaining popularity in the clinical & hospital. The X-ray detectors are described between a-Silicon based indirect type and a-Selenium based direct type. The DRS of detectors is used to convert the x-ray to electron hole pairs. Image processing is described by specific image features: Latitude compression, Contrast enhancement, Edge enhancement, Look up table, Noise suppression. The image features are tuned independently. The final enhancement result is a combination of all image features. The parameters are altered by using specific image features in the different several hospitals. The image in a radiological report consists of two image evaluation processes: Clinical image parameters and MTF is a descriptor of the spatial resolution of a digital imaging system. We used the edge test phantom and exposure procedure described in the IEC 61267 to obtain an edge spread function from which the MTF is calculated. We can compare image in the processing parameters to change between original and processed image data. The angle of the edge with respect to the axes of detector was varied in order to determine the MTF as a function of direction. Each MTF is integrated within the spatial resolution interval of 1.35-11.70 cycles/mm at the 50% MTF point. Each image enhancement parameters consists of edge, frequency, contrast, LUT, noise, sensitometry curve, threshold level, windows. The digital device is also shown to have good uniformity of MTF and image parameters across its modality. The measurements reported here represent a comprehensive evaluation of digital radiography system designed for use in the DRS. The results indicate that the parameter enables very good image quality in the digital radiography. Of course, the quality of image from a parameter is determined by other digital devices in addition to the proper clinical image.

• The Journal of the Acoustical Society of Korea
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• v.10 no.4
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• pp.5-11
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• 1991

This paper suggests a segmentation method of speech signal into phonemic units. The suggested segmentation system is speaker-independent and performed without anyprior information of speech signal. In segmentation process, we first divide input speech signal into purevoiced region and not pure voiced speech regions. After then we apply the second algorithm which segments each region into the detailed phonemic units by using the voiced detection parameters, i.e., the time variation of 0th LPC cepstrum coefficient parameter and the ZCR parameter. Types of speech, used to prove the availability of segmentation algorithm suggested in this paper, are the vocabulary composed of isolated words and continuous words. According to the experiments, the successful segmentation rate for 507 phonemic units involved in the total vocabulary is 91.7%.

• Annual Conference of KIPS
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• 2024.10a
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• pp.320-323
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• 2024

악성코드에 의한 공격은 연평균 수억 건 이상 발생하고 있으며, 큰 폭으로 증가하는 악성코드 개수에 비해 악성코드 분석가가 각 악성코드를 분석하고 대응하기에는 한계가 있다. 이와 같은 한계를 극복하기 위한 방법으로 악성코드 자동 분석 시스템을 사용하는 방법이 있다. 그러나 악성코드에 Anti-VM 기술들이 포함된 경우 자동 분석 시스템에서는 제대로 탐지하기 어렵다는 단점이 있다. 본 논문에서 Anti-VM 기술에 활용되는 API 와 API 의 파라미터 정보를 분석하여 API 후킹 모듈을 기반으로 Anti-VM 탐지 우회 방법을 제안한다. Anti-VM 기술은 Virtual Box 기반의 가상 환경을 탐지하는 기술을 기준으로 연구를 진행하였고 API 및 파라미터 또한 Virtual Box 기반의 가상 환경을 탐지할 때 활용되는 API 및 파라미터를 분석하였다. 분석한 데이터를 기반으로 Anti-VM 기술을 우회하기 위한 API 및 후킹 프로그램을 제작해서 연구를 진행하였다. 연구 결과 Virtual Box 기반의 가상 환경을 탐지하는 기술 중 시간 딜레이, 마우스 이벤트 등의 행위 기반 탐지 기술은 명확한 지표를 측정하기 어려워 우회가 어려웠으나 가상 환경 특성 탐지, 파일 아티팩트 탐지, 레지스트리 및 시스템 설정 탐지 기술은 식별 및 우회에 뛰어난 성능을 보였다.

• Science of Emotion and Sensibility
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• v.16 no.1
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• pp.117-124
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• 2013

This study examined that how precisely MFCC, LPC, energy, and pitch related parameters of the speech data, which have been used mainly for voice recognition system could predict the vocal emotion categories as well as dimensions of vocal emotion. 110 college students participated in this experiment. For more realistic emotional response, we used well defined emotion-inducing stimuli. This study analyzed the relationship between the parameters of MFCC, LPC, energy, and pitch of the speech data and four emotional dimensions (valence, arousal, intensity, and potency). Because dimensional approach is more useful for realistic emotion classification. It results in the best vocal cue parameters for predicting each of dimensions by stepwise multiple regression analysis. Emotion categorizing accuracy analyzed by LDA is 62.7%, and four dimension regression models are statistically significant, p<.001. Consequently, this result showed the possibility that the parameters could also be applied to spontaneous vocal emotion recognition.

• Journal of the Korean Society for Precision Engineering
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• v.22 no.11 s.176
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• pp.16-23
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• 2005

• Proceedings of the Acoustical Society of Korea Conference
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• 1995.06a
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• pp.111-114
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• 1995

포만트 합성에 필요한 음성 파라미터를 분석하는 방법의 개선에 관하여 논한다. 내용은 주로 피치 동기 분석을 위한 피치 위치 추정법의 개선과 포만트 분석시 발생하는 스펙트럼의 왜곡 현상을 기존이 포만트 분석법 및 선형예측분방법과 비교한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.7
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• pp.1326-1331
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• 2006

Weld root gap is a important fact of a falling-off weld quality in various kind of weld defect. The welding quality can be controlled by monitoring important parameters, such as, the Arc voltage, welding current and welding speed during the welding process. Welding systems use either a vision sensor or an Arc sensor, both of which are unable to control these parameters directly. Therefore, it is difficult to obtain necessary bead geometry without automatically controlling the welding parameters through the sensors. In this paper we propose a novel approach using neural networks for detecting and monitoring of weld root gap and bead shape. Through experiments we demonstrate that the proposed system can be used for real welding processes. The results demonstrate that the system can efficiently estimate the weld bead shape and detect the welding defects.