• Journal of the East Asian Society of Dietary Life
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• v.11 no.2
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• pp.140-150
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• 2001

This study was conducted to find out the desirable measures for maintenance and development traditional foods when abroad, by investigating the knowledge and actual state of utilization of Americans residing in the Los Angeles on Korean traditional foods. The 308 respondents of questionnaires were taken. 96% of the respondents demonstrated interest in traditional foods. Among kinds of traditional food, the most preferable food was boiled rice(71.4%) and Kimchi(70.9%) , The that traditional foods are used were good taste(45.4%) and familiar taste(41.6%). The reason for avoiding them was, mainly, troublesome cooking methods (46.3% ). Conclusively, the Korean Americans residing in the Los Angeles have made good use of boiled rice and Kimchi a staple common food, but special foods. ceremonial foods and festival foods were hardly used. To maintain Korean traditional foods when abroad, it is necessary that older generations sometimes offer opportunity to meet with them to the coming Korean generations, and Korean food companies develop and export standardized and simplified traditional foods.

• Journal of Korean Public Health Nursing
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• v.10 no.1
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• pp.23-30
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• 1996

The purpose of study is to find out common factors and variables that affect common factors in level of right knowledge. attitude behavior with respect to AIDS. During the period form Apr.1. 1995 to Jun. 30. guestionnaires, written both in Korean and English. were distributed to Korean Malaysion employees woring at a certain Korean Video companies. and results of replies. given by 80 workers by country. were used as the research matrials. The gathered marials were analyzed through the SPSS package t-test. ANOVA. factor analysis. and the following results were obtained. The 4 extracted common factors could be named 'general publicity', 'transmissive knowledge', 'diagnosis. prevention'. and 'limitted publicity'. The means of trasimssive knowledge. diagnosos. prevention. limtted publicity factors showed higher means in groups who had beyond university level of education than in showed higher means in groups who beyond university level of education than in groups who had below high school level of education. There was a significant relationship between general publicity factor and econmic state. and between limitted publicity factor and preventive education

• Journal of Information Science Theory and Practice
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• v.3 no.4
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• pp.62-77
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• 2015

This paper describes qualities of a library classification system that are commonly discussed in the LIS tradition and literature, and explains such a system’s three main functions, namely knowledge mapping, information retrieval, and shelf arrangement. In this vein, the paper states the functional requirements of bibliographic classifications, which broadly are subject collocation and facilitation of browsing the collection. It explains with details the components of a library classification system and their functions. The major components are schedules, notations, and index. It also states their distinguished features, such as generalia class, form divisions, book numbers, and devices for number synthesis which are not required in a knowledge classification. It illustrates with examples from the WebDewey good examples of added features of an online library classification system. It emphasizes that institutional backup and a revision machinery are essential for a classification to survive and remain relevant in the print and e-environment.

• Journal of the Korean Society for Library and Information Science
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• v.1
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• pp.133-146
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• 1970

The writer tries to propose some characteristics of profession and recommend those of librarianship. In this connection, the writer tries to define 'negative' and 'positive' functions of librarianship as a profession. The writer also aims at classifying various disciplines included in library sciencee Library science has to do with such phases as educational aids, storage and retrieval of knowledge and information, and librarianship itself. The title 'Librarian' carries with it the connotation of 'professional' in the sense that professional tasks require a special knowledge and background, that librarians try to maintain quality service to clients, the knowledge and information are produced, developed, and disseminated via librarians, and that librarians are responsible for continuing education. The fact that the present stage of librarianship is generally known to adhere to negative posture and randomness might permit other institutions to replace the library's role.

• Nuclear Engineering and Technology
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• v.46 no.5
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• pp.707-718
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• 2014

As a result of conducting a 45 minute-long seminar on the principles, state of use, advantages, and disadvantages of nuclear power generation for Korean elementary, middle, and high school students, the levels of perception including the necessity (p<0.017), safety (p<0.000), information acquisition (p<0.000), and subjective knowledge (p<0.000), objective knowledge (p<0.000), attitude (p<0.000), and behavior (p<0.000) were all significantly higher. This indicates that education can be effective in promoting widespread social acceptance of nuclear power and its continued use. In order to induce behavior change toward positive judgments on nuclear power generation, it is necessary to focus on attitude improvement while providing the information in all areas related to the perception, knowledge, attitude, and behavior. Here, the positive message on the convenience and the safety of nuclear power generation should be highlighted.

• Asia pacific journal of information systems
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• v.4 no.1
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• pp.3-31
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• 1994

Potential employers considering locations for production or service facilities typically equire detailed advance knowledge of the wages they will be expected to offer for workers in various occupational categories. The State of Missouri s Department of Labor and Industrial Relations is often contacted by organizations requesting such information. The current wage rate survey approach, initiated in 1988, allows the Department to predict an appropriate wage rate for a given occupation in certain counties, adjusted for changes in the Consumer Price Index (CPI). However, both Department employees and firms have indicated that improved prediction responsiveness and accuracy are desirable. A major deficiency of the current approach is its inability to predict wages for unsurveyed counties. This paper describes a knowledge-based system (KBS), currently in the prototype testing stage, that is expected to supplement the wage rate survey in the near future.

• Journal of the Korean Society of Safety
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• v.7 no.2
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• pp.14-23
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• 1992

A methodology for developing an object description system based on functional-structure of chemical plant is proposed. A knowledge base for chemical plant fault diagnosis is also organized in a generic fashion using the heuristic knowledge of human operators. A plant can be seen as a hierarchical set of subsystems. Each subsystem is called a SCOPE. The state of the plant and the behavior of each subsystem is managed by the SCOPES. A computer-based system based on thls methodology and knowledge base has been developed and applied to the subprocess of ethylene plant to evaluate the effectiveness of the methodology.

• The Journal of Korean Medical History
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• v.25 no.2
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• pp.105-112
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• 2012

The purpose of this paper is to suggest diagnosis support system for diseases of mind so that users can make effective decisions without professional knowledge by developing efficient knowledge system and utilizing ontology with which questions and logic inference are possible to diagnose diseases of mind. Furthermore, this diagnosis support system could be applied to supplement previous diagnosis method which depends on experiences by activating the diagnose of mind diseases thru ontology and determining state of mind effectively without technical knowledge. As a result of this experiment, diagnosis support system for diseases of mind was found to be accordance with the result of consulting instructions and show additional relevance thru utility extension.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.1996-2011
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• 2021

To understand a trend is to explore the intricate process of how something or a particular situation is constantly changing or developing in a certain direction. This exploration is about observing and describing an unknown field of knowledge, not testing theories or models with a preconceived hypothesis. The purpose is to gain knowledge we did not expect and to recognize the associations among the elements that were suspected or not. This generally requires examining a massive amount of data to find information that could be transformed into meaningful knowledge. That is, looking through the lens of big-data analytics with an inductive reasoning approach will help expand our understanding of the complex nature of a trend. The current study explored the trend of well-being in South Korea using big-data analytic techniques to discover hidden search patterns, associative rules, and keyword signals. Thereafter, a theory was developed based on inductive reasoning - namely the hook, upward push, and downward pull to elucidate a holistic picture of how big-data implications alongside social phenomena may have influenced the well-being trend.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.4
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• pp.209-215
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• 2022

This paper proposes a novel approach for training an unsupervised depth estimation algorithm. The objective of unsupervised depth estimation is to estimate pixel-wise distances from camera without external supervision. While most previous works focus on model architectures, loss functions, and masking methods for considering dynamic objects, this paper focuses on the training framework to effectively use depth cue. The main loss function of unsupervised depth estimation algorithms is known as the photometric error. In this paper, we claim that direct depth cue is more effective than the photometric error. To obtain the direct depth cue, we adopt the technique of knowledge distillation which is a teacher-student learning framework. We train a teacher network based on a previous unsupervised method, and its depth predictions are utilized as pseudo labels. The pseudo labels are employed to train a student network. In experiments, our proposed algorithm shows a comparable performance with the state-of-the-art algorithm, and we demonstrate that our teacher-student framework is effective in the problem of unsupervised depth estimation.