• 한국주거학회:학술대회논문집
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• 한국주거학회 2003년도 정기총회 및 추계학술대회
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• pp.235-242
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• 2003

This reserch is to compare and analyze of the residence disposition and feature of ground plan on Seomi 2 Dong in An-dong and Hyun-ri in Mun-gyong. The scope of this reserch concentrated on 33-housed which are 12-housed in Seomi 2 Dong and 21-housed in Hyun-ri. The focus of this reserch is mainly to investigate the characteristic of the site, and ground plans on individual houses. As result of it, there are mostly Yeo-Kan houses (six spans sized) on Seomi 2-dong village in An-Dong on the other hand there are a lot of Straight-Houses in Hyun-ri in Mun-gyong. Otherwise in characteristic of residence, There is dissimilarity between Seomi 2-dong which located in mountainous districts has space organization of utilitarian and Hyun-Ri has justification primacy as a farm village.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2000년도 춘계학술대회논문집 - 한국공작기계학회
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• pp.109-114
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• 2000

A new method for the determination of camera system rotation and translation from in 3-D space using recursive least square method is presented in this paper. With this method, the calculation of the equation is found by a linear algorithm. Where the equation are either given or be obtained by solving five or more point correspondences. Good results can be obtained in the presence if more than the eight point. A main advantage of this new method is that it decouple rotation and translation, and then reduces computation. With respect to error in the solution point number in the input image data, adding one more feature correspondence to required minimum number improves the solution accuracy drastically. However, further increase in the number of feature correspondence improve the solution accuracy only slowly. The algorithm proposed by this paper is used to make camera system rotation and translation easy to recognize even when camera system attached at end effecter of six degrees of freedom industrial robot manipulator are applied industrial field.

• 대한전기학회논문지
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• 제33권10호
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• pp.381-386
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• 1984

This paper deals with the microcomputer realization of EMG pattern recognition system which provides identification of motion commands from the EMG signals for the on-line control of a prosthetic arm. A probabilistic model of pattern is formulated in the feature space of integral absolute value(IAV) to describe the relation between a motion command and the location of corresponding pattern. This model enables the derivation of sample density function of a command in the feature space of IAV. Classification is caried out through the multiclass sequential decision process, where the decision rule and the stopping rule of the process are designed by using the simple mathematical formulas defined as the likelihood probability and the decision measure, respectively. Some floating point algorithms such as addition, multiplication, division, square root and exponential function are developed for calculating the probability density functions and the decision measure. Only six primitive motions and one no motion are incorporated in this paper.

• Journal of Electrical Engineering and Technology
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• 제13권1호
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• pp.485-492
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• 2018

In this paper, we propose facial expression recognition using CNN (Convolutional Neural Network), one of the deep learning technologies. The proposed structure has general classification performance for any environment or subject. For this purpose, we collect a variety of databases and organize the database into six expression classes such as 'expressionless', 'happy', 'sad', 'angry', 'surprised' and 'disgusted'. Pre-processing and data augmentation techniques are applied to improve training efficiency and classification performance. In the existing CNN structure, the optimal structure that best expresses the features of six facial expressions is found by adjusting the number of feature maps of the convolutional layer and the number of nodes of fully-connected layer. The experimental results show good classification performance compared to the state-of-the-arts in experiments of the cross validation and the cross database. Also, compared to other conventional models, it is confirmed that the proposed structure is superior in classification performance with less execution time.

• 한국환경과학회지
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• 제1권2호
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• pp.93.2-97
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• 1992

The naturally occurring plasmids of Vibrio species have been isolated in part to investigate their genetic traits. Among six different Vibrio species tested, Vibrio anguillarum, Vibrio fluvialis, Vibrio vulnificus, Vibrio mimicus and Vibrio furnissi did not show any presence of plasmid. One environmental isolate of Vibrio pnrahemolyticus harboring plasmid was observed. The isolated plasmid was 8.7 kb by analysis with restriction endonuclease digestion. No common feature was shown relationships between the presence of plasmid and resistance against commonly used antibiotic compounds from the tested Vibrios. Key words . plasmid, Vibrio anguillarum, Vibrio fluvialis, Vibrio uulnincus, Vibrio mimicus, Vibrio furnissi, Vibrio parahemolyticus.

• Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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• 제1권2호
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• pp.93-97
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• 1997

The naturally occurring plasmids of Vibrio species have been isolated in part to investigate their genetic traits. Among six different Vibrio species tested, Vibrio anguillarum, Vibrio fluvialis, Vibrio vulnficus, Vibrio mimicus and Vibrio furnissi did not show any presence of plasmid. One environmental isolate of Vibrio parahaemolyticus harboring plasmid was observed. The isolated plasmid was 8.7 kb by analysis with restriction endonuclease digestion. No common feature was shown relationships between the presence of plasmid and resistance against commonly used antibiotic compounds from the tested Vibrios.

• 한국간호교육학회지
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• 제18권3호
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• pp.474-485
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• 2012

Purpose: The Quality and Safety Education for Nurses [QSEN] initiative group has identified six competencies (patient-centered care, teamwork and collaboration, evidence-based practice, quality improvement, safety, and informatics) for pre-licensure nursing education along with related knowledge, skills, and attitudes for each competency. The purpose of this article is to illustrate a teaching strategy that uses films to demonstrate the QSEN competencies in undergraduate nursing students. Method: A literature review was conducted to define QSEN competencies, and six feature-length commercial movies were selected through a systematic process. We provided film titles and their synopses that can be useful in teaching the QSEN six competencies to undergraduate nursing students. Results: Patch Adams for patient-centered care, Wit for teamwork and collaboration, Lorenzo's Oil for evidence-based practice, Am$\acute{e}$lie for quality improvement, Blindness and The Island for informatics can be applied in nursing classroom practices. Conclusion: Establishing the connection between QSEN competencies and cinenurducation is novel, yet it would provide a unique opportunity for nurse educators seeking to overcome the challenge of better preparing future nurses. In future studies, additional films should be considered to enhance nursing educational strategies.

• 한국수산과학회지
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• 제49권2호
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• pp.224-233
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• 2016

The objective of this study was to develop an artificial neural network (ANN) model for the acoustic identification of commercially important fish species in Korea. A broadband echo acquisition and processing system operating over the frequency range of 85-225 kHz was used to collect and process species-specific, time-frequency feature images from six fish species: black rockfish Sebastes schlegeli, black scraper Thamnaconus modesutus [K], chub mackerel Scomber japonicus, goldeye rockfish Sebastes thompsoni, konoshiro gizzard shad Konosirus punctatus and large yellow croaker Larimichthys crocea. An ANN classifier was developed to identify fish species acoustically on the basis of only 100 dimension time-frequency features extracted by the principal components analysis (PCA). The overall mean identification rate for the six fish species was 88.5%, with individual identification rates of 76.6% for black rockfish, 82.8% for black scraper, 93.8% for chub mackerel, 90.6% for goldeye rockfish, 96.9% for konoshiro gizzard shad and 90.6% for large yellow croaker, respectively. These results demonstrate that individual live fish in well-controlled environments can be identified accurately by the proposed ANN model.

• International Journal of Human Ecology
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• 제1권1호
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• pp.59-77
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• 2000

The purpose of this study was to extend our understanding of the developmental antecedents of delay of gratification in infancy. The first goal was to examine direct effects of one feature of an infants’ temperament and of positive and negative parenting assumed at age one on children’s delay of gratification six months later. The second goal of the study was to test the interactive effect of early infant temperament and parenting on children’s delay of gratification. It was hypothesized that 1) less negative infants at 12 months would delay gratification longer six months later, 2) children of parents who provided more positive and sensitive feedback would delay gratification longer than children with parents who were more negative and less sensitive, and 3) there would be differential prediction of parenting for children who scored high and low in negative emotionality as infants. Toward this end, 81 infants were observed interacting at one year of age with their mothers and fathers during laboratory assessments to obtain measures of parenting and infant negative emotionality. At 18 months of age, the child’s capacity to delay touching attractive objects was measured. The main effects of infant negative emotionality and of mothering on children’s delay of gratification were not detected at standard levels of significance. Differential effects of parenting on children’s delay of gratification for infants with low or high negative emotionality, too, were not detected. However, the anticipated effect of fathering on delay of gratification was found in some analyses, indicating that the more positive fathering children received, the longer they could delay gratification in the laboratory six months later.

• 한국컴퓨터정보학회논문지
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• 제18권10호
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• pp.1-12
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• 2013

본 논문에서는 많은 연산량이 요구되는 화재 특징 추출 알고리즘을 위한 최적의 매니코어 프로세서에 대한 디자인 공간을 탐색한다. 최적의 매니코어 디자인 공간을 선택하기 위해 매니코어를 구성하는 프로세서 엘리먼트 (PE)의 개수와 로컬 메모리 사이즈를 변화시키면서 시뮬레이션을 수행하여 성능, 에너지 효율 및 시스템 면적 효율에서 최적인 매니코어 구조를 결정한다. 본 논문에서는 $256{\times}256$ 해상도의 30 프레임으로 구성된 화재/비화재 비디오 영상을 대상으로 하여 움직임 검출, 색상 분할 및 이산 웨이블릿 변환으로 구성된 화재 특징 추출 알고리즘을 여섯가지 매니코어 구조(PEs=16, 64, 256, 1,024, 4,096, 16,384)를 사용하여 모의 실험한 결과, 모든 화재/비화재 비디오 영상에 대해1,024개와 4,096개의 PE를 갖는 매니코어 구조가 각각 최적의 시스템 면적 효율과 에너지 효율을 보였다. 또한, 실험에서 사용한 여섯가지 매니코어 구조 모두가 실시간 비디오 처리에서 요구되는 초당 30 프레임 처리 기준을 만족하였다.