• Korean Institute of Interior Design Journal
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• v.20 no.6
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• pp.192-199
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• 2011

The purposes of this study are to present the criteria for a sensibility rating scale for measuring the general women's perception of museums' spatial environment, through an empirical analysis; and to clarify the characteristics of the presented rating scale in terms of each rating element and factor. For this study, a survey was conducted during August 19 - September 16, 2010, and a total of 342 museum visitors participated in the survey. A sensibility rating scale used for the survey consisted of a total of 32 adjectives selected from a literature review of previous studies. To specify the dimensions of semantic space using the semantic adjectives, words with opposite meanings were analyzed with the semantic differential technique developed by Osgood et al. Using SPSS, a reliability analysis, factor analysis were conducted on the data obtained from the survey. The results of this study can be summarized as follows: According to the women's perception of museums' spatial environment, six factors were found from the 25 semantic ratings of the Museum. The summarized criteria were: 'aesthetic', 'pleasant', 'valuable', 'function', 'affinity', and 'material.' The derived criteria were verified through an empirical test using emotional adjectives. In the coming years, the results of this study will serve as valuable data for constructing a sensibility rating scale for evaluating spatial environments of museums.

• Koreanishche Zeitschrift fur Deutsche Sprachwissenschaft
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• v.1
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• pp.313-348
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• 1999

이 논문은 독일어의 겹자음회피현상을 설명함에 있어 어휘음운론에서의 분석이 보이는 문제들을 지적하고, 이 문제들이 제약에 바탕을 둔 이론에서는 어떻게 해결될 수 있는가를 보인다. 제약들간의 상호작용에서 특히 중요한 역할을 하는 것이 단일형태실현제약 (Uniform Exponence)으로서, 이 제약을 통해 독일어 동사의 현재시제, 단수, 2인칭 형태와 3인칭형태에서 나타나는 겹자음회피현상이 동사의 어형변화표 (Verbparadigma)와 밀접한 관련이 있음을 알 수 있다. 이는 규칙들을 통해 2인칭과 3인칭의 올바른 형태를 각각 개별적으로 찾아내는 어휘음운론의 분석과는 근본적으로 다르다. 왜냐하면 어휘음운론의 분석에 따를 때, 예를 들어 3인칭 동사 arbeitet에서 Schwa 모음의 삽입은 겹자음회피를 위해 일어난다고 설명되지만 겹자음이 없음에도 불구하고 Schwa 모음이 마찬가지로 삽입되는 2인칭동사 arbeitest는 설명되지 않기 때문이다. 이런 분석에서는 2인칭 형태와 3인칭 형태가 서로 아무런 관련 없이 각기 따로 존재하게된다. 이에 반해 단일형태제약은 이 두개의 형태를 동시에 비교하므로, 동사 굴절형태에서 마치 불필요한 것으로 보이는 모음삽입이나 자음탈락의 원인에 대해 이론적인 근거를 제시할 수 있다. 즉 2인칭 형태와 3인칭 형태는 보다 상위의 제약들이 막지 않는 한 서로 최대한 비슷한 형태를 가지려고 한다. 이 논문은 겹자음 회피를 위한 수단으로서 모음삽입이나 자음탈락은 오로지 이를 통해 동사의 어형변화표가 좋아질 때만 가능하다는 것을 보여줌으로써 규칙이론이 포착하지 못하고 있는 중요한 일반화를 제시하고 있다. 단일형태 실현제약의 중요성은 접두사 in- 과 un- 이 어간과 결합할 때 보이는 대조를 통해서도 확인된다. 여기서도 어휘음운론의 다층어휘부 구조에 의한 설명이 갖는 문제점이 제약들간의 상호작용을 통해 해결될 수 있음을 알 수 있다.VII-1 및 VII-2공의 3600 m 하부층은 건성 가스 생성 단계에까지 도달한 것으로 나타났다. JDZ VII-1, VII-2 시추공의 3500 m 하위 구간의 올리고세 퇴적층에서 유기물 함량 및 수소 지수가 급격히 감소하는 것은 매몰 심도가 깊어지면서 유기물이 열 분해되어 이미 탄화수소를 생성한 것으로 해석된다. JDZ VII-1 및 VII-2 시추공의 가스징후 및 길소나이트 (gilsonite)는 탄화수소가 생성되어 이동한 흔적을 시사한다.을 해석할 수 있음을 보여주는 것으로 평가된다. 다만 PLAYMAKER2가 보다 신뢰할 만한 퇴적환경 해석을 위한 전문가 시스템으로 구축되기 위해서는 향후 많은 퇴적학 전문가들이 추가로 참여하여 기존 규칙들을 재검증하고 새로운 규칙들을 첨가함으로써 보디 세련된 지식베이스를 개발하여야 할 것으로 판단된다.이며 세 개의 산소가 이루는 평면에서 $1.68{\AA}$ 소다라이트내로 이동하여 위치한다. 32개의 $Tl^{+}$ 이온은 결정학적 자리 II에 존재하고 있으며 산소와의 결합거리를 $2.70(1){\AA}$을 유지하면서 큰 동공속으로 $1.48{\AA}$ 이동하여 위치한다. 약 18개의 $Tl^+$ 이온은 결정학적 자리III에, 또 다른 10개의 $Tl^+$ 이온은 결정학적 자리III'에 존재하고 골조 산소와 각각 $2.86(2){\AA},\;2.96(4){\AA}$의 결합거리를 이룬다.

• Journal of Digital Contents Society
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• v.12 no.4
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• pp.541-550
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• 2011

MotionTypography is crucial to effective emotional communication in digital society. In this paper, I study movements to represent emotion using motiontypography and approach two goals: First to define an emotional measure by means of emotion assesses by the public, Second to research image characteristics corresponding to movements. In this dissertation, we collect emotional words by literature and experimental surveys and extract representative emotional words using KJ method and clustering analysis. The results of research, the emotional axes selected for motiontypography represent 'calm to active' and 'soft to stiff', the viewers feel a specific emotional state from some movements of motiontypography. If, we investigate the relationship of motiontypographic visual elements with emotional words are achieved together, I think it will serve as a motiontypographic guideline that enables helping the public to easily produce motiontypography.

• Journal of Digital Convergence
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• v.10 no.6
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• pp.219-224
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• 2012

In the communication mobile terminal, Vocabulary recognition system has low recognition rates, because this problems are due to phoneme feature extract from inaccurate vocabulary. Therefore they are not recognize the phoneme and similar phoneme misunderstanding error. To solve this problem, this paper propose the system model, which based on the two step process. First, input phoneme is represent by number which measure the distance of phonemes through phoneme likelihood process. next step is recognize the result through the reliability measure. By this process, we minimize the phoneme misunderstanding error caused by inaccurate vocabulary and perform error correction rate for error provrd vocabulary using phoneme likelihood and reliability. System performance comparison as a result of recognition improve represent 2.7% by method using error pattern learning and semantic pattern.

• The Journal of the Acoustical Society of Korea
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• v.18 no.8
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• pp.3-8
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• 1999

Previous variable vocabulary speech recognition systems with context-independent acoustic modeling, could not represent the effect of neighboring phonemes. To solve this problem, we use allophone-based context-dependent acoustic model. This paper describes the method to improve acoustic model of the system effectively. Acoustic model is improved by using allophone clustering technique that uses entropy as a similarity measure and the optimal allophone model is generated by changing the number of allophones. We evaluate performance of the improved system by using Phonetically Optimized Words(POW) DB and PC commands(PC) DB. As a result, the allophone model composed of six hundreds allophones improved the recognition rate by 13% from the original context independent model m POW test DB.

• Journal of the Korea Society of Computer and Information
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• v.15 no.6
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• pp.73-80
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• 2010

Vocabulary recognition system is providing inaccurate vocabulary and similar phoneme recognition due to reduce recognition rate. It's require method of similar phoneme recognition unrecognized and efficient feature extraction process. Therefore in this paper propose phoneme likelihood error correction improvement system using based on phoneme feature Bhattacharyya distance measurement. Phoneme likelihood is monophone training data phoneme using HMM feature extraction method, similar phoneme is induced recognition able to accurate phoneme using Bhattacharyya distance measurement. They are effective recognition rate improvement. System performance comparison as a result of recognition improve represent 1.2%, 97.91% by Euclidean distance measurement and dynamic time warping(DTW) system.

• The KIPS Transactions:PartB
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• v.17B no.1
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• pp.93-98
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• 2010

In this paper, we introduce a system that summarizes product evaluation through linguistic analysis to effectively utilize explosively increasing product reviews. Our system analyzes polarities of product reviews by product features, based on which customers evaluate each product like 'design' and 'material' for a skirt product category. The system shows to customers a graph as a review summary that represents percentages of positive and negative reviews. We build an opinion word dictionary for each product feature through context based automatic expansion with small seed words, and judge polarity of reviews by product features with the extracted dictionary. In experiment using product reviews from online shopping malls, our system shows average accuracy of 69.8% in extracting judgemental word dictionary and 81.8% in polarity resolution for each sentence.

• Science of Emotion and Sensibility
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• v.15 no.1
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• pp.87-96
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• 2012

This paper proposes a Image retrieval system that searches the closest images to the user's emotional need and displays images with higher ratings of color harmony from Moon-Spencer's Color Harmony Theory first. Once an emotional adjective is placed, the system searches for images with colors that contain more elements derived from Aesthetic Measure results and displays in such order. In order to test reliability of the proposed emotion retrieval method based on Moon-Spencer's Color Harmony Theory, this study compared the order of Aesthetic Measure results with the user satisfaction ratings using 200 sample images. The analysis demonstrated that the participants' average satisfaction on 15 emotion adjectives selected for the study was 5.0 on a 7-point Likert scale. Correlation analyses were performed to test the consistency the orders between Aesthetic Measure values and user satisfaction ratings. Positive correlations above R=.5 were observed in all 14 emotion words except "Clear". These findings prove the potential of the proposed emotion retrieval system based on Moon-Spencer's Color Harmony Theory to effectively reflect user emotion in such visual stimulus search as image database.

• Korean Journal of Cognitive Science
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• v.15 no.2
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• pp.1-15
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• 2004

The structure of sensibility from motion was developed for the purpose of understanding relationship between sensibilities and physical factors to apply it to dynamic visual display. Seventy adjectives were collected by assessing adequacy to express sensibilities from motion and reporting sensibilities recalled from dynamic displays with achromatic color. Various motion displays with a moving single dot were rated according to the degree of sensibility corresponding to each adjective, on the basis of the Semantic Differential (SD) method. The results of assessment were analyzed by means of the factor analysis to reduce 70 words into 19 fundamental sensibilities from motion. The Multidimensional Scaling (MDS) technique constructed the sensibility space in motion, in which 19 sensibilities were scattered with two dimensions, active-passive and bright-dark Motion types systemically varied in kinematic factors were placed on the two-dimensional space of motion sensibility, in order to analyze important variables affecting sensibility from motion. Patterns of placement indicate that speed and both of cycle and amplitude in trajectories tend to partially determine sensibility. Although color and motion affected sensibility according to the in dimensions, it seemed that combination of motion and color made each have dominant effect individually in a certain sensibility dimension, motion to active-passive and color to bright-dark.

• Journal of Digital Contents Society
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• v.14 no.4
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• pp.581-587
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• 2013

In this paper, we propose a method of sentiment classification which uses Levenshtein distance. We generate BOW(Bag-Of-Word) applying Levenshtein daistance in sentiment features and used it as the training set. Then the machine learning algorithms we used were SVMs(Support Vector Machines) and NB(Naive Bayes). As the data set, we gather 2,385 reviews of movies from an online movie community (Daum movie service). From the collected reviews, we pick sentiment words up manually and sorted 778 words. In the experiment, we perform the machine learning using previously generated BOW which was applied Levenshtein distance in sentiment words and then we evaluate the performance of classifier by a method, 10-fold-cross validation. As the result of evaluation, we got 85.46% using Multinomial Naive Bayes as the accuracy when the Levenshtein distance was 3. According to the result of the experiment, we proved that it is less affected to performance of the classification in spelling errors in documents.