• Journal of Korean society of Dental Hygiene
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• v.9 no.4
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• pp.559-568
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• 2009

Objectives : In order to manage to reformative tendency of the educational whole with change request of dental hygienics education which is diversificated and professionalized the manufacturing practice of a temporary resin jacket which is educated with from much dental hygiene is become accomplished, so far also the recognition which relates with the manufacturing practice of a temporary resin jacket of dental hygiene students there is not researched. The present research carried out the practice evaluation with the target of students of a dental hygiene department, who finished a manufacturing practice of a temporary resin jacket, analyzed and investigated the material, reported its result, and enforced a research. Methods : This research selected students of 6 dental hygiene departments located in the Daegu Gyeongbuk region, who have manufacturing experience of a temporary resin jacket, by a convenient sampling method, and then a questionnaire was executed by a self-administration method, and a total of 290 copies were statistically treated. The content of the questionnaire are composed of 2 questions on an attitude survey before and after manufacturing practice of a temporary resin jacket, 3 questions on an educator for practice of a temporary resin jacket, 7 questions on recognition of technical skills for manufacturing a temporary resin jacket, 9 questions on the practice content evaluation of manufacturing of a temporary resin jacket and recognition on manufacturing practice of a the temporary resin jacket. Results : 1. The average of recognition on technical skills for manufacturing a temporary resin jacket of a dental hygienist was 3.82 points, the average of evaluation on practice content of manufacturing a temporary resin jacket being 3.75 points, and the average of recognition on the practice of manufacturing a temporary resin jacket was 3.71 points. 2. Currently, as the educator for the practice of manufacturing a temporary resin jacket, dental hygienists were 188 persons(64.8%) and dental technicians was 102 persons(35.2%), and as educators they want in the future, dental hygienists were 97 persons(33.3%) and dental technicians was 193 persons(66.7%). Persons hoping reeducation for manufacturing a temporary resin jacket were 219 persons(85.9%). 3. There was a significant difference in consciousness of students before and after practice of manufacturing a temporary resin jacket(p<.001). 4. There was a significant difference in practice evaluation and practice recognition according to the educational subject(p<.001). 5. There was a significant reverse correlation in the educational subject, practice evaluation and practice recognition(p<0.01). Conclusions : The practice for manufacturing a temporary resin jacket in education of dental hygiene is necessary to improve job performance ability in more various and specialized dental treatment and to solve desire for improvement of professional technical skill ability of students, and accordingly. About study process of the future students observation investigation or student objective interview investigation etc. seeks a problem in the become research lead, the succeeding research which gropes the plan which is the possibility of solving the problem which discovered is thought will be necessary.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.115-118
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• 2002

Parameters used in a speaker recognition system are desirable expressing speaker's characteristics filly and have in a speech. That is to say, if inter-speaker than intra-speaker variance a big characteristic, it is useful to distinguish between speakers. Also, to make minimum error between speakers, it is required the improved recognition technology as well as the distinguishing characteristics. When we see the result of recent simulation performance, we obtain more exact performance by using dynamic characteristics and constant characteristics by a speaking habit. Therefore we suggest it to solve this problem as followings. The prosodic information is used by a characteristic vector of speech. Characteristics vector generally using in speaker recognition system is a modeling spectrum information and is working for a high performance in non-noise circumstance. However, it is found a problem that characteristic vector is distorted in noise circumstance and it makes a reduction of recognition rate. In this paper, we change pitch line divided by segment which can estimate a dynamic characteristic and it is used as a recognition characteristic. we confirmed that the dynamic characteristic is very robust in noise circumstance with a simulation. We make a decision of acceptance or rejection by comparing test pattern and recognition rate using the proposed algorithm has more improvement than using spectrum and prosodic information. Especially stational recognition rate can be obtained in noise circumstance through the simulation.

• Cartoon and Animation Studies
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• s.39
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• pp.393-412
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• 2015

See and feel the emotion recognition is the image of a person variously changed according to the environment, personal disposition. Thus, the image recognition has been focused on the emotional sensibilities computer you want to control the number studies. However, existing emotional computing model is numbered and the objective is clearly insufficient measurement conditions. Thus, through quantifiable image Emotion Recognition and emotion computing, is a study of the situation requires an objective assessment scheme. In this paper, the sensitivity was represented by numbered sizes quantified according to the image recognition calculation emotion. So apply the principal attributes of the color image emotion recognition as a configuration parameter. In addition, in calculating the color sensitivity by applying a digital computing focused research. Image color emotion computing research approach is the color of emotion attribute, brightness, and saturation reflects the weighted according to importance to the emotional scores. And free-degree by applying the sensitivity point to the image sensitivity formula (X), the tone (Y-axis) is calculated as a number system. There pleasure degree (X-axis), the tension and position the position of the image point that the sensitivity of the emotional coordinate crossing (Y-axis). Image color coordinates by applying the core emotional effect of Russell (Core Affect) is based on the 16 main representatives emotion. Thus, the image recognition sensitivity and compares the number size. Depending on the magnitude of the sensitivity scores demonstrate this sensitivity must change. Compare the way the images are divided up the top five of emotion recognition emotion emotions associated with 16 representatives, and representatives analyzed the concentrated emotion sizes. Future studies are needed emotional computing method of calculation to be more similar sensibility and human emotion recognition.

• Bulletin of the Korean Chemical Society
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• v.31 no.5
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• pp.1204-1208
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• 2010

Anion recognition via hydrogen-bonding interactions could be monitored with changes in UV-vis absorption spectra and in some cases easily monitored with naked eye. Urea receptors 1 and 2 connected with both an azo group and a nitrophenyl group as a signaling group for color change proved to be an efficient naked eye receptor for the fluoride ion. The anion recognition phenomena of the receptors 1 and 2 via hydrogen-bonding interactions were investigated through UV-vis absorption and $^1H$ NMR spectra.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4562-4572
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• 2014

The recent location-based services of smart-phones are some of the rapidly growing mobile technology. This paper proposes a technique for modifying the change cycle of location-based services according to the specific location using location based services. This technique shows that the cycle of the location-based services can be customized based on the location. As a result, this technique proposes a process that can reduce the waste of resources compared to the location based services of a constant cycle.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.465-468
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• 2000

얼굴 영상은 똑같은 표정의 같은 사람이라도 조명에 따라 매우 다른 얼굴 영상으로 나타난다. 따라서 본 논문에서는 조명 변화에 강인한 얼굴 인식 방법을 제안한다. 제안된 방법은 오프라인 훈련(off-line training)과 온라인 인식(on-line recognition)의 두 부분으로 이루어져 있다. 오프라인 훈련은 PCA(principal component analysis)를 기반으로 한다. 온라인 인식에서는 조명 변화에 대한 보상, 얼굴 특징의 추출, 그리고 인식을 위한 분류 과정의 3 단계로 구성되어 있다. 오프라인 훈련에서는 전체 훈련 얼굴 영상 데이터에 PCA를 적용하여 조명 변화가 최대한 제외된 특징 벡터 공간을 생성한다. 실제 인식 단계에서는 첫 번째로 입력 영상으로 들어온 얼굴 영상에서 조명의 영향을 보상하기 위해 준동형 필터링(homomorphic filtering) 후 밝기 정규화(normalization)를 취한다. 두 번째 단계에서는 입력 데이터의 차원을 줄이고 얼굴 특징 벡터를 구하기 위해 PCA를 수행한다. 마지막 과정으로서 입력 영상의 특징 벡터들과 오프라인에서 미리 구하여진 특징 벡터들의 유사도를 측정하여 얼굴을 인식하게 된다. 실험 결과 제안된 방법은 기존의 Eigenface 방법에 비해 우수한 성능을 나타내었다.

• Culinary science and hospitality research
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• v.9 no.4
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• pp.37-53
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• 2003

The purpose of this study was to find out efficient control plan for productivity increase. To analyze the data, the measure of question a paper was used to 5 a point measure, statistics disposition was used to SPSS, the analyze method was used to frequency analyze, trust degree analyze, difference analyze useful average value, person's correlation analyze, revolution analyze. The results of this study could be explained as follow: First, find out high change separation propensity. Secondly, was subjected important for atmosphere composition and was required strategy consideration for stable job recognition. Third, was operated affirmative to recognition about separation and was increased to job satisfaction according as a colleague relation and team work. Fourth, was increased to comparative separation propensity in case that high job satisfaction. Therefore it is required interesting labor item and treatment development about personal evaluation.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.3
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• pp.176-185
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• 1996

Transformin the huge size of drawings into a suitable format for CAD system and recognizng the contents of drawings are the major concerans in the automated analysis of engineering drawings. This paper proposes some methods for text/graphics separation, symbol extraction, vectorization and symbol recognition with the object of applying them to electronic cirucit drawings. We use MBR (Minimum bounding rectangle) and size of isolated region on the drawings for separating text and graphic regions. Characteristics parameters such as the number of pixels, the length of circular constant and the degree of round shape are used for extracting loop symbols and geometric structures for non-loop symbols. To recognize symbols, nearest netighbor between FD (foruier descriptor) of extractd symbols and these of classification reference symbols is used. Experimental results show that the proposed method can generate compact vector representation of extracted symbols and perform the scale change and rotation of extracted symbol using symbol vectorization. Also we achieve an efficient searching of circuit drawings.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.3
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• pp.1395-1400
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• 2011

This paper designed animation in consideration of Children's characteristics to stimulate their interest and to be more understandable to them. It was also confirmed that, using the animation contents, Children's came to recognize the problem of environment pollution and developed desirable attitude and behavior for protecting the environment. Furthermore, this paper suggested the direction of systematic environmental education and other Children's education institutions using the developed animation contents as a teaching material.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.12a
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• pp.203-207
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• 2001

In this Paper, we propose the neural network based emotion recognition method for intelligently recognizing the human's emotion using CCD color image. To do this, we first acquire the color image from the CCD camera, and then propose the method for recognizing the expression to be represented the structural correlation of man's feature Points(eyebrows, eye, nose, mouse) It is central technology that the Process of extract, separate and recognize correct data in the image. for representation is expressed by structural corelation of human's feature Points In the Proposed method, human's emotion is divided into four emotion (surprise, anger, happiness, sadness). Had separated complexion area using color-difference of color space by method that have separated background and human's face toughly to change such as external illumination in this paper. For this, we propose an algorithm to extract four feature Points from the face image acquired by the color CCD camera and find normalization face picture and some feature vectors from those. And then we apply back-prapagation algorithm to the secondary feature vector. Finally, we show the Practical application possibility of the proposed method.