• 기술혁신연구
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• 제5권1호
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• pp.223-248
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• 1997

In this study the comparative analysis of four nations' Delphi technological forecasts in information and communication industry was carried out. The nations were Korea, Japan, Germany and France. The reliability test of realization time forecast was also conducted. There were some technologies of which four nations forecast almost same realization time whereas other technologies which four nations showed large variance in forecasting realization time. This means that experts from different nations had different views and prospects on the same technology. It is expected that prospecting international technological trend from this study will contribute to formulating long-range plan for technological development in information and communication in Korea. The result of the comparative analysis of four nations' forecasts in information and communication technology can be summarized as follows. a)As for the realization time, most of the technologies were forecast by four nations to be similar, the differences ranging from one to three years. It was found that on the whole, the longer the time of the forecast, the bigger the variance. The German forecast showed the biggest variance. b)In reliability test Korean was found to be the most reliable and Japan, France and Germany were in descending order. The response of all panel members was found to be more reliable than that of the panel members with high expertise, which means that there were substantially different views among panel members with high expertise on the realization time of the same technology.

• 한국지능시스템학회논문지
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• 제24권5호
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• pp.529-535
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• 2014

본 논문에서는 interval type-2 possibilistic fuzzy C-means(IT2PFCM) 클러스터링 방법에 multiple Gaussian kernels을 기반으로 한 possibilistic fuzzy C-means multiple kernels(PFCM-MK) 알고리즘을 결합하여 적응적인 하이브리드 클러스터링 방법인 multiple kernels interval type-2 possibilistic fuzzy C-means(IT2PFCM-MK) 방법을 제안 하였다. 일반적으로 possibilistic fuzzy C-means(PFCM) 알고리즘은 fuzzy C-means(FCM) 알고리즘의 단점인 노이즈 민감성 및 특이점 문제와 알고리즘 초기 클러스터의 Prototype에 따라 위치가 겹치는 문제를 해결하기 위해 제안 되었다. 하지만 이 방법 역시 퍼지화 파라미터 값에 따라 위와 같은 문제를 여전히 가지고 있기 때문에 이와 같은 문제를 보완하기 위해 interval type-2 퍼지 접근 방법을 이용 하는 interval type-2 possibilistic fuzzy C-means(IT2PFCM) 알고리즘을 제안 하였다. 또한 multiple kernels 함수를 interval type-2 possibilistic fuzzy C-means(IT2PFCM) 알고리즘에 적용하여 분류하기 복잡한 형태의 데이터와 노이즈가 있는 데이터에 대하여 보다 정확하고, 향상된 클러스터링을 수행할 수 있다.

• Journal of information and communication convergence engineering
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• 제16권4호
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• pp.258-263
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• 2018

Color Doppler sonography is a useful tool for examining blood flow and related indices. However, it should be done by well-trained operator, that is, operator subjectivity exists. In this paper, we propose an automatic blood flow area extraction method from brachial artery that would be an essential building block of computer aided color Doppler analyzer. Specifically, our concern is to examine hypertension suspicious (prehypertension) patients who might develop their symptoms to established hypertension in the future. The proposed method uses fuzzy C-means clustering as quantization engine with careful seeding of the number of clusters from histogram analysis. The experiment verifies that the proposed method is feasible in that the successful extraction rates are 96% (successful in 48 out of 50 test cases) and demonstrated better performance than K-means based method in specificity and sensitivity analysis but the proposed method should be further refined as the retrospective analysis pointed out.

• 대한한의학원전학회지
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• 제25권2호
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• pp.125-139
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• 2012

Objective : This study began with a recognition of the increase in internal disorders caused by functional impairment of the Spleen-Stomach(脾胃) due to modern dietary culture and environment. Method : Way of studying is select and analysis sentences which is include 'Stomach-Yin(胃陰)', 'Stomach-Jin(胃津)', 'Spleen-Stomach-Yin(脾胃陰)', 'Stomach-Yang(胃陽)', 'Spleen-Stomach-Yang (脾胃陽)' in Imjeungjinamuian(臨證指南醫案), and organize relevant paper. Result & Conclusion : In the history of the Spleen-Stomach Theory(脾胃學說), the theoretical mainstream was focused on On-yang(溫養), which was supplemented with methods of sweeten-cool-moisturize(甘凉濡潤) and communication-descent(通降法) by Ye, Tianshi(葉天士). Ye, Tianshi followed the academic theory of Li, Dongyuan(李東垣), putting emphasis on Stomach-gi(胃氣), along with some unique developments of his own. He specifically argued that the Spleen and Stomach be treated separately, and while accepting the methods of Li Dong-yuan in Spleen treatment, asserted that the Stomach-Yin be treated with medicinals with sweet/plain and sweet/cool/moist(甘平與甘凉濡潤) characteristics, and Stomach-Yang be kept firmly, as to prevent obstruction and reflux, by means of medicinals that communicate the Yang softly(通陽柔劑). As a result, the Yin-Yang(陰陽), Dryness-Dampness(燥濕) and Cold-Heat(寒熱) balance of the Yin-Jang (陰臟), Spleen and the Yang-Bu(陽腑), Stomach, the Stomach-Yin and Stomach-Yang was achieved both theoretically and in treatment by means of both communication and supplementation, adding accuracy to clinical application of the Spleen-Stomach Theory.

• 한국통신학회:학술대회논문집
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• 한국통신학회 1983년도 추계학술발표회논문집
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• pp.88-92
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• 1983

The performance of noncoherent fast frequency-hopped spread spectrum multiple access communication systems with square-law combining over fading channel is presented. The expression for the probalility of error as a performance measure is derived by means of momenting function of the dedecision variables, and the cross-covariance of the fading process the ambiguty function of the transmitted signals.

• 한국임상보건과학회지
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• 제5권3호
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• pp.915-924
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• 2017

Purpose. The purpose of this study was to investigate the influence of emotional intelligence, ego-resilience and communication competence in nursing students. Methods. Data was collected from a group of 146 nursing students by means of self reported questionnaires about emotional intelligence, ego-resilience and communication competence in nursing students from the period between February 18, 2017 to March 19, 2017. Results. There were positive correlations between emotional intelligence, ego-resilience and communication competence. Factors influencing the communication competence of nursing students were ego-resilience (${\beta}=.42$, p<.001), Academic achievement (${\beta}=.38$, p=.003)and emotional intelligence (${\beta}=.24$, p=.026). These factors explained 54.8% of the variance in the participants' communication competence (F=60.15, p<.001). Conclusions. In conclusion, strategies for increasing emotional intelligence and ego-resilience of nursing students' ego-resilience, should be developed to improve the communication competence of nursing students.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.994-999
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• 1993

To service with high quality electricity to customer, the utilities consider the DAS (Distribution Automation System) as a good means of it. The backbone of the DAS are communication and computer technique. Most of all, from the economical and functional point of view, the selection of transmission media for system communication is the key factor to achieve a successful DAS. In this paper author propose the method of the DAS communication which share its channel with CATV transmission line and analyze the effect.

• 인문언어
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• 제8집
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• pp.59-78
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• 2006

The paper brings to question how image as a medium is becoming a replacement for traditional letters in the modern culture. Reflection the importance of image in the context of modern society with the changes in the values of communication. The importance of letters in its traditional format as a book that signified not only the method of communication but also power for those who governed during the days of illiteracy in the past has changed, in the beginning with the development of printing and today with movies etc. that supply endless images instead of words as a means of communication. The images are the next generation in the method of communication and can be noted from the earliest civilizations such as Egypt where the method of communication was not words but drawings that depicted specific significations. The use of images for communication purposes in light of this fact suggests that images was being used before words in societies and its communicative values greater than that of words.

• 한국인터넷방송통신학회논문지
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• 제18권6호
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• pp.259-268
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• 2018

본 연구의 목적은 인지기능 훈련 콘텐츠들을 사용하는 동안 사용자들의 흥미와 몰입도를 높이기 위하여 인지 능력 수준에 맞춘 훈련 방법을 제시하는 것이다. 사용자의 인지 능력 수준은 K-means 알고리즘을 적용한 협업 필터링을 사용하여 사용자들의 정보와 한국형 아동 간이 정신 상태 검사 점수를 기반으로 군집화한 결과를 바탕으로 이루어졌다. 이 결과를 구현된 인지기능 훈련 통합 시스템에 적용하여 사용자의 인지 능력 수준에 알맞은 인지기능 훈련 영역 별 콘텐츠 순서와 난이도를 추천하였다. 특히 콘텐츠 난이도 조절은 사용자들이 긴장감과 편안함을 반복적으로 느낄 수 있도록 제안한 '몰입이론' 방법을 적용하여 높은 몰입감을 주고자 하였다. 결론적으로 본 논문에서 제안한 사용자 맞춤형 인지기능 훈련 방법은 기존의 치료사가 콘텐츠 순서와 난이도를 주관적으로 설정하는 것보다 더욱 효과적이고 재활 결과를 기대할 수 있을 것이다.

• International Journal of Advanced Culture Technology
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• 제8권4호
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• pp.167-176
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• 2020

Recommendation Systems is the top requirements for many people and researchers for the need required by them with the proper suggestion with their personal indeed, sorting and suggesting doctor to the patient. Most of the rating prediction in recommendation systems are based on patient's feedback with their information regarding their treatment. Patient's preferences will be based on the historical behaviour of similar patients. The similarity between the patients is generally measured by the patient's feedback with the information about the doctor with the treatment methods with their success rate. This paper presents a new method of predicting Top Ranked Doctor's in recommendation systems. The proposed Recommendation system starts by identifying the similar doctor based on the patients' health requirements and cluster them using K-Means Efficient Clustering. Our proposed K-Means Clustering with Content Based Doctor Recommendation for Cancer (KMC-CBD) helps users to find an optimal solution. The core component of KMC-CBD Recommended system suggests patients with top recommended doctors similar to the other patients who already treated with that doctor and supports the choice of the doctor and the hospital for the patient requirements and their health condition. The recommendation System first computes K-Means Clustering is an unsupervised learning among Doctors according to their profile and list the Doctors according to their Medical profile. Then the Content based doctor recommendation System generates a Top rated list of doctors for the given patient profile by exploiting health data shared by the crowd internet community. Patients can find the most similar patients, so that they can analyze how they are treated for the similar diseases, and they can send and receive suggestions to solve their health issues. In order to the improve Recommendation system efficiency, the patient can express their health information by a natural-language sentence. The Recommendation system analyze and identifies the most relevant medical area for that specific case and uses this information for the recommendation task. Provided by users as well as the recommended system to suggest the right doctors for a specific health problem. Our proposed system is implemented in Python with necessary functions and dataset.