• Journal of the Ergonomics Society of Korea
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• v.26 no.4
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• pp.57-64
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• 2007

In the world, the old population is growing fast and many countries went into an advanced age society. Therefore the development of everyday products, electric appliances, and welfare services considering old people is more important than ever. In particular, the complexity of products can cause many problems for old people. Universal design is an approach to create environments and products that recognizes the diversity of users, regardless of their ability or age. Universality evaluation for a product is very important to verify old people's accessibility and usability for the product. Universality means how good a product was designed in view of universal design principles. In this study, UNIX, a method to evaluate the universality of a product was developed. UNIX was based on seven universal design principles; equitable use, flexibility in use, simple and intuitive, perceptible information, tolerance for error, low physical effort, size and space for approach and use. UNIX is a kind of expert evaluation and very simple method. The method is consisted of two steps. In the first step, relative weights for seven principles and subjective ratings on design suitability for each principle are obtained. In the second step, universality index (UNIX) of each product is obtained by weighted average multiplying relative weights and rating scores. As a case study, this method was applied for mouse designs. In conclusion, this method could be effectively applied to evaluate the universality of a product.

• Journal of Educational Research in Mathematics
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• v.20 no.2
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• pp.163-183
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• 2010

It has long been of controversy what the meanings of probability is. And a century has past after the mathematical probability has been at the center of the school curriculum of it. Recently statistical meaning of probability becomes important for various reasons. However the simple modification of its definition is not enough. The computational reasoning of the probability and its practical application needs didactical changes and new instructional transformations along with the modification of it. Most of the current text books introduce probability as a limit of the relative frequencies, a statistical probability. But when the probability computation of the union of two events, or of the simultaneous events is faced on, they use mathematical probability for explanation and practices. Accordingly there is a gap for students in understanding those. Probability is an intuitive concept as far as it belongs to the domain of the experiential frequency. And frequency distribution must be the instructional bases for the (statistical) probability novices. This is what we mean by the probability in accordance with the distribution concepts. First of all, in order to explain the probability of the complementary event we should explain the empirical relative frequency of it first. These are the case for the union of two events and for the simultaneous events. Moreover we need to provide a logic of probabilistic guesses, inferences and decision, which we introduce with the name “the likelihood principle”, the most famous statistical principle. We emphasized this be done through the problems of practical decision making.

• The Journal of Society for e-Business Studies
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• v.14 no.4
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• pp.47-57
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• 2009

Collaborative tagging systems allow users to attach tags to diverse sharable contents in social networks. These tags provide usefulness in reusing the contents for all community members as well as their creators. Three-dimensional data composed of users, items, and tags are used in the collaborative tag-based recommendation. They are generally more voluminous and sparse than two-dimensional data composed of users and items. Therefore, there are many difficulties in applying existing collaborative filtering methods directly to them. Latent factor models, which are also successful in the area of collaborative filtering recently, discover latent features(factors) for explaining observed values and solve problems based on the features. However, establishing the models require much time and efforts. In order to apply the latent factor models to three-dimensional collaborative filtering data, we have to overcome the difficulty of establishing them. This paper proposes various methods for determining preferences of users to items via establishing an intuitive model by assuming tags used for items as latent factors to users and items respectively. They are compared using real data for concluding desirable directions.

• Journal of Oriental Neuropsychiatry
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• v.11 no.1
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• pp.103-113
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• 2000

The aim of this study is to review the concepts of Jing(精) Qi(氣) Shen(神) Hun(魂) Po(魄) in the light of the Jungian psychology. According to the explanations of the Jungian psychology human beings have archetypes-a priori conditioning factors-in the collective unconscious. These archetyps are concerned with common concepts conceived by mankind about the fundamental elements which constitute the universe and the existence. The archetype is perceived in a symbol, hence Jing(精) Qi(氣) Shen(神) Hun(魂) Po(魄) also are these symbolic representations which had common background of mankind. The meaning of Jing(精) is emphasized as psychic and physical elements, and concerned with instinct. Qi(氣) corresponds to Jung's definition of libido as life energy. The concept of Shen(神) has the value of the self archetype as whole psyche's president principle. Hun(魂) and Po(魄) are intuitive notions of the Orient compared with Animus and Anima which are characteristic representations. However from a standpoint of autonomous energy as archetype the difference would be diminished. Considering each purpose of Hun(魂) and Po(魄) Hun(魂) has a intention of integrating the unconscious flux into consciousness while Po(魄) has a tendency toward instinct to secure a body. It is precious to recognize deeply that these concepts of jing(精) Qi(氣) Shen(神) Hun(魂) Po(魄) play an important part which mediate between the unconscious and consciousness, psyche and body as symbols.

• The Korean Journal of Applied Statistics
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• v.29 no.6
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• pp.1007-1023
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• 2016

This paper explores the conditions and potential of newly designed and tried methodology of big data analysis that apply to Korean history subject matter. In order to advance them, we need to pay more attention to quantitative analysis methodologies over pre-existing qualitative analysis. To obtain our new challenge, I propose 'digital history' methods along with associated disciplines such as linguistics and computer science, data science and statistics, and visualization techniques. As one example, I apply interdisciplinary convergence approaches to the principle and mechanism of elite reproduction during the Korean medieval age. I propose how to compensate for a lack of historical material by applying a semi-supervised learning method, how to create a database that utilizes text-mining techniques, how to analyze quantitative data with statistical methods, and how to indicate analytical outcomes with intuitive visualization.

• Journal of the Korean housing association
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• v.25 no.3
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• pp.105-114
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• 2014

Landscape zones have been designated as aesthetic old town districts across a wide range of Nakakyo-Ku and Shimokyo-Ku, city center of Kyoto, Japan. In these districts in which traditional structures and new buildings coexist, regulations of restriction on acts such as new building's heights, shapes, materials, and colors are carried out according to local governmental landscape ordinance based on Scenic Conservation Act. And yet, minimal fulfillment of the regulations according to different designer's subjective interpretation and principle of economy is rather creating abnormal shapes not harmonized with the traditional landscape. Thus, this study aims to extract combinations between form elements of middle and high rise apartment facade that affects 'harmony' and 'mismatch' in the districts by clarifying the social rules commonly implied based on intuitive judgments (sensibility evaluation) in which human experiential knowledge is involved. As research methods, the study first analyzes the form elements of the facade through a field survey, sets up a standard model through tasks of classification and segmentation and draws computer graphic images with 99 different patterns based on it. Based on these images, this study carries out sensibility evaluation and analyzes experimental data applying the rough set theory. As a result of the analysis, the combinations of form elements that affect harmony or mismatch act greatly when the colors and shapes of the pillars, positions and the patterns of the use of the first floor are combined.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.183-183
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• 2012

In the era of 45 nm or beyond technology, conventional etch mask using photoresist showed its limitation of etch mask pattern collapse as well as pattern erosion, thus hard mask in etching became necessary for precise control of etch pattern geometry. Currently available hard mask materials are amorphous carbon and polymetric materials spin-on containing carbon or silicon. Amorphous carbon layer (ACL) deposited by PECVD for etch hard mask has appeared in manufacturing, but spin-on carbon (SOC) was also suggested to alleviate concerns of particle, throughput, and cost of ownership (COO) [1]. SOC provides some benefits of reduced process steps, but it also faced with wiggling on a sidewall profile. Diamond like carbon (DLC) was also evaluated for substituting ACL, but etching selectivity of ACL was better than DLC although DLC has superior optical property [2]. Developing a novel material for pattern hard mask is very important in material research, but it is also worthwhile eliminating a potential issue to continuously develop currently existing technology. In this paper, we investigated in-situ dry-cleaning (ISD) monitoring of ACL coated process chamber. End time detection of chamber cleaning not only provides a confidence that the process chamber is being cleaned, but also contributes to minimize wait time waste (WOW). Employing Challenger 300ST, a 300mm ACL PECVD manufactured by TES, a series of experimental chamber cleaning runs was performed after several deposition processes in the deposited film thickness of $2000{\AA}$ and $5000{\AA}$. Ar Actinometry and principle component analysis (PCA) were applied to derive integrated and intuitive trace signal, and the result showed that previously operated cleaning run time can be reduced by more than 20% by employing real-time monitoring in ISD process.

• The Journal of Korean Medical History
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• v.30 no.1
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• pp.11-22
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• 2017

This paper is a study on the life and clinical reasoning of Kim Goo Young (1958-2014). Offering a new perspective through his interpretation of Donguibogam (東醫寶鑑), Kim introduced his unique theory of Korean medicine, 'The Theory of Byeongin (病因論)'. Kim recognized the confusing situation of communication between people studying Korean medicine and tried to make a new standard based on the principle that many people can share. 'The Theory of Byeongin' offers a newly constituted "Donguibogam" focusing on 'Byeongin' (病因, pathologic origin) which can be translated as the cause of a disease. In so doing Kim recognized 'Byeongin' as the most important factor in 'Byeonjeung' (辨證, classifying the origin), or the classification method of symptoms. In addition, Kim recognized how 'Byeongin' was considered to be a diseased lifestyle, and tried interpreting. The patient's lifestyle to treat diseases. As a result, 'The Theory of Byeongin' is a theory consisting of an intuitive structure, reducing notable elements like Yin Yang Five Movement theory. The theory's significant characteristic is its easy application in clinical settings due the established core principles which are based on Kim's insight and clinical experience. This study contributes to the understanding of the theoretical and clinical development of Korean medicine through deeper studies on 'The Theory of Byeongin' and Kim's medical theory.

• Archives of design research
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• v.12 no.4
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• pp.273-282
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• 1999

Typography is a subject of fundamental principle and considerable importance to the practice of design and visual language. In Typography education, we need to teach student with systematic, logic and holistic view prior to intuitive way. It must be emphasized as a foundation to all graphic design students who are familiar with digital media. despite the fact that high technology has invaded th design profession and the importance of learning how to deal with these new possibilities has grown, technological processes are not substituted nor are they excuses for not learning basic principles of Typography. Technology is merely and extension of these skills. The logic is objective and the intuition is subjective. Visual system exercises the student's ability to work objectively in thought and in method. Visual system presents the idea that logic and intuition can work together to give stronger results in problem solving than either can alone. I critically analyzed that what is system and how can we develop visual system which can be adapted to Typography education. I also have investigated visual system to find the possibility and flexibility in Typography education.

• Smart Media Journal
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• v.9 no.3
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• pp.31-40
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• 2020

Currently, black-box-based machine learning algorithms are used to analyze big data in manufacturing. This algorithm has the advantage of having high analytical consistency, but has the disadvantage that it is difficult to interpret the analysis results. However, in the manufacturing industry, it is important to verify the basis of the results and the validity of deriving the analysis algorithms through analysis based on the manufacturing process principle. To overcome the limitation of explanatory power as a result of this machine learning algorithm, we propose a manufacturing big data analysis method using genetic programming. This algorithm is one of well-known evolutionary algorithms, which repeats evolutionary operators such as selection, crossover, mutation that mimic biological evolution to find the optimal solution. Then, the solution is expressed as a relationship between variables using mathematical symbols, and the solution with the highest explanatory power is finally selected. Through this, input and output variable relations are derived to formulate the results, so it is possible to interpret the intuitive manufacturing mechanism, and it is also possible to derive manufacturing principles that cannot be interpreted based on the relationship between variables represented by formulas. The proposed technique showed equal or superior performance as a result of comparing and analyzing performance with a typical machine learning algorithm. In the future, the possibility of using various manufacturing fields was verified through the technique.