• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1995년도 추계학술대회 학술발표 논문집
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• pp.85-91
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• 1995

This paper presents a system which recognizes the Korean Sign Language(KSL) and translates into normal Korean speech. A sign language is a method of communication for the deaf-mute who uses gestures, especially both hands and fingers. Since the human hands and fingers are not the same in physical dimension, the same form of a gesture produced by two signers with their hands may not produce the same numerical values when obtained through electronic sensors. In this paper, we propose a dynamic gesture recognition method based on feature analysis for efficient classification of hand motions, and on a fuzzy min-max neural network for on-line pattern recognition.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제6권10호
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• pp.7-14
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• 2000

The aim of this study is to derive design guidelines which improve the life satisfaction of elderly residents at welfare facilities. There are many factors affecting on satisfaction with life of the institutionized elderly, but this study focuses on architectural factors. So, two factors are derived, the first factor is the behavier facilitation and the second is the social-interaction. In this study, the behavier facilitation, which was considerd by elderly's physical feature, means safety, discrimination and adaptability. The social interaction, which was considerd by elderly's psychological feature, was supported by homogeneous, approximate, privacy, territoriality, personalization, and control.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권3호
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• pp.754-774
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• 2023

Wrestling is one of the popular events for modern sports. It is difficult to quantitatively describe a wrestling game between athletes. And deep learning can help wrestling training by human recognition techniques. Based on the characteristics of latest wrestling competition rules and human recognition technologies, a set of wrestling competition video analysis and retrieval system is proposed. This system uses a combination of literature method, observation method, interview method and mathematical statistics to conduct statistics, analysis, research and discussion on the application of technology. Combined the system application in targeted movement technology. A deep learning-based facial recognition psychological feature analysis method for the training and competition of classical wrestling after the implementation of the new rules is proposed. The experimental results of this paper showed that the proportion of natural emotions of male and female wrestlers was about 50%, indicating that the wrestler's mentality was relatively stable before the intense physical confrontation, and the test of the system also proved the stability of the system.

• 전기학회논문지
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• 제56권1호
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• pp.18-27
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• 2007

Successful operation of power system under regulated as well as deregulated electricity markets is very important. This paper presents marginal power flow evaluation of KEPCO system in view point of physical and operation mode by using Physical and Operational Margins (POM Ver.2.2), which is developed by V&R Energy System Research. This paper introduces feature and operation mode of POM Ver.2.2 and then evaluates scenarios of 6 lines contingencies of 765kv of KEPCO system at peak load time on summer in 2006 you. The case study for actual 2006 year KEPCO system shows that this POM program is applicable sufficiently to KEPCO system. Futhermore, it demonstrates that it is helpful for operator's operating the system successfully by evaluating physical and operational margins quickly for various contingencies occurred in KEPCO system. Eventually, it will assist operators to operate more reliably the KEPCO system in future.

• 한방재활의학과학회지
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• 제23권3호
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• pp.149-157
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• 2013

Objectives This study was designed to: (1) investigate the clinical feature of tongue diagnosis, (2) make an observation of significant changes in tongue diagnosis according to the patient's physical condition and laboratory result and (3) identify clinical efficacy of tongue diagnosis. Methods 300 patients' tongue diagnosis results were analyzed and the patients were divided to each group according to the physical condition and laboratory result. Then, chi-square test was performed to assess statistical significance between tongue diagnosis results of each group. Results As a result of analyzing the spread of tongue diagnosis according to the patient's physical condition and laboratory result, 18 groups had statistical significance related to specific tongue color and tongue coating. Conclusions Even if there would be possible misinterpretations in one-to-one match between the tongue diagnosis and certain diseases, we identified that tongue diagnosis results were changed somewhat related to patient's physical condition with some tendency and tongue diagnosis could be used for meaningful clinical diagnostic tool.

• 대한물리치료과학회지
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• 제30권4호
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• pp.9-16
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• 2023

Background: Bedridden patients and disabled persons need help from a guardian or caregiver even in performing simple activities of daily living. In particular, for body transfer of them, the use of a transfer lift has been recommended. However, the devices currently in use have limitations in terms of support according to the individual's characteristics. This study aimed to develop a transfer lift device utilizing the patients' body-fitting sling equipped with an air tube inside the sling. In addition, we have conducted usability tests to examine the safety, effectiveness, and satisfaction with this device. Design: This study conducted usability tests with 10 healthy adults. Methods: Customized sling lifts are generally floor-based devices that consisted of a sling that holds the patient's body and a lift that moves the sling to the desired position. One characteristic feature of the device is an air tube, which is used on the sling to allow the patient's body can be adjusted. A usability test was performed in terms of the operators, who operated the device to transfer the patients. Ten operators tried the device and tested its usability. Results: The mean of 10 question for Questions was 4.18. Conclusion: The device can be useful in the advance- ment and commercialization of customized sling lifts, to ensure the safe and efficient transfer of persons with disabilities.

• Nuclear Engineering and Technology
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• 제56권4호
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• pp.1165-1203
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• 2024

In the paper we validate theoretical models of the pulse against experimental data from the Jozef Stefan Institute TRIGA Mark II research reactor. Data from all pulse experiments since 1991 have been collected, analysed and are publicly available. This paper summarizes the validation study, which is focused on the comparison between experimental values, theoretical predictions (Fuchs-Hansen and Nordheim-Fuchs models) and calculation using computational program Improved Pulse Model. The results show that the theoretical models predicts higher maximum power but lower total released energy, full width at half maximum and the time when the maximum power is reached is shorter, compared to Improved Pulse Model. We evaluate the uncertainties in pulse physical parameters (maximum power, total released energy and full width at half maximum) due to uncertainties in reactor physical parameters (inserted reactivity, delayed neutron fraction, prompt neutron lifetime and effective temperature reactivity coefficient of fuel). It is found that taking into account overestimated correlation of reactor physical parameters does not significantly affect the estimated uncertainties of pulse physical parameters. The relative uncertainties of pulse physical parameters decrease with increasing inserted reactivity. If all reactor physical parameters feature an uncorrelated uncertainty of 10 % the estimated total uncertainty in peak pulse power at 3 $ inserted reactivity is 59 %, where significant contributions come from uncertainties in prompt neutron lifetime and effective temperature reactivity coefficient of fuel. In addition we analyse contribution of two physical mechanisms (Doppler broadening of resonances and neutron spectrum shift) that contribute to the temperature reactivity coefficient of fuel. The Doppler effect contributes around 30 %-15 % while the rest is due to the thermal spectrum hardening for a temperature range between 300 K and 800 K.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 춘계학술대회
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• pp.249-251
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• 2012

증강현실은 가상현실과 달리 현실 세계를 바탕으로 가상정보를 제공함으로, 보다 향상된 현실감과 상호작용을 가능케 하는 장점이 있다. 본 논문에서는 스마트폰이나 테블릿 PC에서 선박 3D 모델을 시각화하는 증강현실 기반의 선박설계 시각화 시스템을 제안한다. 제안된 시스템은 Contour 기법으로 모서리점을 추출하고, Harris의 코너점 검출기로 대표 특징점을 추출하여 설계도면 데이터베이스를 구축한다. SURF 알고리즘을 이용하여 카메라로부터 입력받은 설계도면 영상에서 대표 특징점들을 추출하여 서버에 저장된 설계도면 DB의 특징점과 설계도면을 매칭하여 인식한다. 인식된 설계도면은 모바일 기기에서 3D 선박 구조물을 증강하여 시각화한다. 기존의 2D로 이루어지는 영업설계에 비해 선박의 이해가 용이하며 설계기간을 단축시키는 효과로 영업경쟁력이 향상될 것으로 기대된다.

• International Journal of Aeronautical and Space Sciences
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• 제15권3호
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• pp.309-319
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• 2014

This paper mainly focuses on the conceptual design and stealth performance of the three-surface military aircraft. A three-dimensional (3-D) digital mock-up of the three-surface strike fighter with stealth feature was designed and the schemes of carrying missiles were analyzed in CATIA. Based on physical optics principle and the Method of Equivalent Currents (MEC), a numerical simulation of the RCS feature of the aircraft was carried out with RCSPlus which is a software designed by Beihang University. The paper contributes to the RCS feature analysis of the whole plane and different parts on X-band, S-band and UHF-band and a comparison of RCS feature to Su-37 and T-50 military aircraft is drawn. On X-band, the pitch angle of the incident wave was $0^{\circ}$, and the result shows: (1) Compared with Su-37 aircraft, the forward scattering RCS of the three-surface strike aircraft was reduced to 14.9%, the side scattering RCS to 9.6% and the back scattering RCS to 40.2%. (2) Compared with T-50 aircraft, the forward scattering RCS was reduced to 38.61%, and the side scattering RCS to 67.26%. This paper should be useful for researchers in conceptual design and stealth technology of the military aircraft.

• 한국지능시스템학회논문지
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• 제19권6호
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• pp.821-827
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• 2009

표정은 인간의 감정을 전달할 수 있는 중요한 수단으로 표정 인식은 감정상태를 알아낼 수 있는 효과적인 방법중 하나이다. 일반적인 표정 인식 시스템은 얼굴 표정을 표현하는 특징점을 찾고, 물리적인 해석 없이 특징을 추출한다. 하지만 특징점 추출은 많은 시간이 소요될 뿐 아니라 특징점의 정확한 위치를 추정하기 어렵다. 그리고 표정 인식 시스템을 실시간 임베디드 시스템에서 구현하기 위해서는 알고리즘을 간략화하고 자원 사용량을 줄일 필요가 있다. 본 논문에서 제안하는 실시간 표정 인식 시스템은 격자점 위치에서 얻어진 가버 웨이블릿(Gabor wavelet) 특징 기반 표정 공간을 설정하고, 각 표정 공간에서 얻어진 주성분을 신경망 분류기를 이용하여 얼굴 표정을 분류한다. 제안하는 실시간 표정 인식 시스템은 화남, 행복, 평온, 슬픔 그리고 놀람의 5가지 표정이 인식 가능하며, 다양한 실험에서 평균 10.25ms의 수행시간, 그리고 87%~93%의 인식 성능을 보였다.