• Journal of Music and Human Behavior
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• v.18 no.2
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• pp.87-107
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• 2021

The purpose of this research was to explore the phenomenon of object relations with musical instruments as experienced by professional Samulnori musicians. The researcher conducted in-depth individual interviews with five Samulnori players who also completed questionnaires with open-ended questions. The data were analyzed using Giorgi(2004)'s phenomenological methodology. The results offered 121 semantic units, seven subcategories, and three main categories. The three main categories were transitional object, object of expression and recognition of internal desires, and object for recognition of others and communication. These results suggest that the ensemble format of Samulnori promotes the development of the musician's object relationship and can externalize the player's internalized representational system and interaction method. This study is significant in that it reveals the endopsychic functional relationship between a musician and their instrument and provides the basis for the use of Samulnori instruments in music therapy.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.27 no.1
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• pp.41-46
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• 2023

Recently, big data analysis can use various techniques according to the development of machine learning. Big data collected in reality lacks an automated refining technique for the same or similar terms based on semantic analysis of the relationship between words. Since most of the big data is described in general sentences, it is difficult to understand the meaning and terms of the sentences. To solve these problems, it is necessary to understand the morphological analysis and meaning of sentences. Accordingly, NLP, a technique for analyzing natural language, can understand the word's relationship and sentences. Among the NLP techniques, the transformer has been proposed as a way to solve the disadvantages of RNN by using self-attention composed of an encoder-decoder structure of seq2seq. In this paper, transformers are used as a way to form associations between words in order to understand the words and phrases of sentences extracted from big data.

• English Language & Literature Teaching
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• no.6
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• pp.89-111
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• 2000

Since speaking is correlated with time and time is metaphorically conceptualized in terms of space, it is natural for us to conceptualize language metaphorically in terms of space. For example, we think that the future is in front and the past is behind. Reddy(1979) suggested in his conduit metaphor that linguistic expressions are containers. According to him, the speaker puts his ideas(objects) into words{containers)and sends them along a conduit to a hearer who takes the idea(object) out of the word(container). As a result we are able to know that the larger linguistic expressions have more meaning in it. In other words the space of a linguistic form has close relationship with meaning. Moreover we are able to see that formal distance between arguments or elements of linguistic expressions shows semantic influences between them. If two elements keep close distance, a preceeding element has a strong, direct and whole influence upon the following element. Sometimes even the results of the influence can be brought out implicitly by the formal relation between two elements. Therefore, the purpose of this paper is to show that tins difference in meaning which is due to formal distance of sentence elements can be explained by the metaphorical concept presented by Lakoff and Johnson(1980).

• Journal of Korean Library and Information Science Society
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• v.12
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• pp.61-96
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• 1985

The human subject analysis of a document has some critical problems. The method results in the inconsistency in analysis process and the contradiction of two objects of the subject analysis (one is the identification of the content for the retrieval of specific items and the other is to identify the content for the grouping of related materials). Since the subject analysis by mechanized has been recognized to be the possible way to aggregate the problems of manual analysis, various a n.0, pproaches of automatic indexing have been studied and experimented. This study is to examine the automatic indexing as one of the promising subject analysis techniques by statistical, syntactical and semantic a n.0, pproaches. In conclusion, the reasonable a n.0, pplication time of the automatic indexing should be made a decision based on the through investigation on the cost verse effectiveness, and automatic indexing system should be developed in the close relationship with the on-line search which is a good retrieval system for information explosion society. From now on, since the machine-readable document-text will be envisaged to be more and more available due to the rapid development of computer technology, the more substantial research on the automatic indexing will be also possible, which can bring about the increasing of practical automatic indexing systems.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.447-450
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• 2003

In this research, we propose an automatic knowledge acquisition and composite knowledge expression mechanism based on machine learning and relational database. Most of traditional approaches to develop a knowledge base and inference engine of expert systems were based on IF-THEN rules, AND-OR graph, Semantic networks, and Frame separately. However, there are some limitations such as automatic knowledge acquisition, complicate knowledge expression, expansibility of knowledge base, speed of inference, and hierarchies among rules. To overcome these limitations, many of researchers tried to develop an automatic knowledge acquisition, composite knowledge expression, and fast inference method. As a result, the adaptability of the expert systems was improved rapidly. Nonetheless, they didn't suggest a hybrid and generalized solution to support the entire process of development of expert systems. Our proposed mechanism has five advantages empirically. First, it could extract the specific domain knowledge from incomplete database based on machine learning algorithm. Second, this mechanism could reduce the number of rules efficiently according to the rule extraction mechanism used in machine learning. Third, our proposed mechanism could expand the knowledge base unlimitedly by using relational database. Fourth, the backward inference engine developed in this study, could manipulate the knowledge base stored in relational database rapidly. Therefore, the speed of inference is faster than traditional text -oriented inference mechanism. Fifth, our composite knowledge expression mechanism could reflect the traditional knowledge expression method such as IF-THEN rules, AND-OR graph, and Relationship matrix simultaneously. To validate the inference ability of our system, a real data set was adopted from a clinical diagnosis classifying the dermatology disease.

• Journal of Computing Science and Engineering
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• v.1 no.1
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• pp.95-123
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• 2007

Existing systems that support semistructured views do not maintain semantics during the process of designing the views. Thus, these systems do not guarantee the validity and reversibility of the views. In this paper, we propose an approach to address the issue of valid and reversible semistructured views, We design a set of view operators for designing semistructured views. These operators are select, drop, join and swap. For each operator, we develop a complete set of rules to maintain the semantics of the views. In particular, we maintain the evolution and integrity of relationships once an operator is applied. We also examine the reversible view problem under our operators and develop rules to guarantee that the designed views are reversible. Finally, we examine the changes in the participation constraints of relationship types during the view design process, and develop rules to ensure the correctness of the participation constraints.

• Journal of the Korean Institute of Landscape Architecture
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• v.22 no.3
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• pp.29-40
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• 1994

The purpose of this study was to investigate factors and variables which have significant effects on satisfaction of urban pedestrian sidewalk in taejon city, and to suggest basic information for urban pedestrian sidewalk. These works consist of two phase; The first, tested the user's degree of satisfaction for 37 spots of pedestrian sidewalk slide and then selected 10 spots slide by the stratified random sampling method. The second, analyzed factors and variables of satisfaction of urban pedestrian sidewalk using the semantic differential scale method, and then processed by mean score, correlation, factor analysis, multiful algorithm. The results were summarized as follows; 1) The relationship between the man group and the woman group was highly correlated as well as between the student group.1 and the student group.2 hense these groups statistically showed no difference in satisfaction ratings. 2) Pedestrian sidewalk width, cleanness, pavement materials and construction condition can be significant variables of satisfaction of urban pedestrian sidewalk. 3) Factors covering the satisfaction of urban pedestrian sidewalk have been found to be Environment of pedestrian sidewalk, Vegetation of pedestrian sidewalk and Form of pedestrian sidewalk. By using the control method for the number of factors, C.P. has been obtained as 62.8%.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.17 no.1
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• pp.109-118
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• 2010

Purpose: This study was designed to examine the relationship between nurses' characteristics and perception of seriousness of elder abuse. Method: A cross-sectional survey design was used to describe the perception of elder abuse by 301 nurses. Data were collected by convenience sampling. The research instruments utilized in this study were 12 scenarios adapted by Yoo & Kim from the 13 senarios to measure the perception of elder abuse developed by Moon and Williams (1993), a seven item questionnaires related to elder abuse law, and a Semantic Differential Scaling to measure attitudes toward elderly people. Data were analyzed with descriptive statistics, t-test, ANOVA and Pearson's correlation. Results: The mean score for perceptions of elder abuse was 3.07. Among the types of abuse, sexual abuse was perceived as the most severe type of abuse followed by physical abuse, neglect, financial abuse, and emotional abuse in that order. Education, job position, experience of gerontological nursing course, and education on elder abuse, exposure to elder abuse information, and attitudes toward elders were significantly related to the perception of seriousness on elder abuse. Conclusions: The results of this study suggest that provision of elder abuse education is needed for nurses, to enable them to identify elder abuse and address their legal and professional responsibilities.

• Journal of the Ergonomics Society of Korea
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• v.17 no.1
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• pp.23-36
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• 1998

The primary objective of this research was to establish and quantify the relationship between the physical degradation factors of multimedia telecommunications (teleconferencing) system and Subjective human perception. The research was performed in two stages. A field survey of the real users and pilot experiments were carried out in the first stage to determine customers' major complaints and corresponding system degradation factors. A prototype teleconferencing simulator was developed in two separate sound-treated chambers equipped with audio/video equipment running under a custom-developed software program. In the second stage, simulation experiments using the semantic differential methodology were performed utilizing 26 paid participants (14 college students and 12 housewives). The results indicated that audio/video synchronization and the frame rate were the main system factors for both subject groups, but different pattern of factors' influence was found according to the group, implying that the system configuration would hopefully accommodate the characteristics of the end users. Also, a single quality index, developed for system preference, was revealed to be highly correlated with user satisfaction. The results provide some fundamental data on the human subjective perception of multimedia telecommunications quality, and further can help establish the quality standards to enhance service level.

• Annual Conference on Human and Language Technology
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• 2001.10d
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• pp.146-154
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• 2001

본 논문에서는 개념망 구축을 위해 사전 뜻풀이말에서 추출 가능한 의미속성의 분포 정보를 기반으로 어휘 연관도를 측정하고자 한다. 먼저 112,000여 개의 사전 뜻풀이말을 대상으로 품사 태그와 의미 태그가 부여된 코퍼스에서 의미속성을 추출한다. 추출 가능한 의미속성은 체언류, 부사류, 용언류 등이 있는데 본 논문에서는 일차적으로 명사류와 수식 관계에 있는 용언류 중 관형형 전성어미('ㄴ/은/는')가 부착된 것을 대상으로 한다. 추출된 공기쌍 45,000여 개를 대상으로 정제 작업을 거쳐 정보이론의 상호 정보량(MI)을 이용하여 명사류와 용언류의 연관도를 측정한다. 한편, 자료의 희귀성을 완화하기 위해 수식 관계의 명사류와 용언류는 기초어휘를 중심으로 유사어 집합으로 묶어서 작업을 하였다. 이러한 의미속성의 분포 정보를 통해 측정된 어휘 연관도는 의미속성의 공유 정도를 계산하여 개념들간에 계층구조를 구축하는 데 이용할 수 있다.