• Therapeutic Science for Rehabilitation
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• v.12 no.3
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• pp.7-18
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• 2023

Objective : This study aimed to confirm the research characteristics by analyzing the literature that applied the school readiness programs for children with disabilities. Methods : Studies were collected from the PubMed, Embase, Web of Science, and Research Information Sharing Service databases. The key terms were "School readiness" AND ("Occupational Therapy" OR "Rehabilitation") in English and Korean. Total eight articles were selected through the selection and exclusion criteria. Results : The programs included multi-type training, motor skill training, parent training, and mobile application training. The providers were psychologists, occupational therapists, physical therapists, speech pathologists, community workers, educators, and the psychologists who conducted most of the research. The program factors can be classified into academic function, motor function, social function, parental training, and others. Academic and social functions accounted for the largest proportion of the respondents. The intervention improved multiple skills, literacy, parenting skills, and gross fine motor function. Conclusion : This study aimed to provide basic data for school-based occupational therapy by analyzing school readiness programs for children with disabilities. Recently, interest in and research on school readiness has increased. Occupational therapists should also establish their roles in the field of school-related rehabilitation and provide various school-based occupational therapies.

• Korea Trade Review
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• v.42 no.2
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• pp.391-410
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• 2017

This study examines Romalpa clause as an extended or enlarged retention of title clause under SGA. Under a simple retention of title clause, the seller retains title to goods supplied until the goods have been paid. A simple retention of title gives the seller super-priority interest in other creditors of the buyer without registering a charge. Aluminium Industrie Vaassen BV v. Romalpa Aluminium Ltd introduced the concept of 'extended reservation of title(so called 'Romalpa clause') in English law. It is because the Court of Appeal held that under an extended reservation about title clause the seller can trace his title into money which constitutes the proceed of sale by the buyer of goods supplied by the seller. However, since Romalpa case, the courts are reluctant to uphold the seller's extended title. Under Romalpa clause, the seller attempts to extend his protection by laying claims to new products manufactured from his goods or to proceeds of sale by the buyer. Where the seller's goods are lawfully used by the buyer to create new goods, the property in the new goods will generally vest in the buyer. It is because there has been discomfort if the seller gains the windfall profit of the new goods. Moreover, regarding tracing proceeds of sale by the buyer, the courts held that the seller must establish fiduciary relationship with the buyer. If the fiduciary requirement cannot be established, the extended retention of title clause is seen as a charge over the proceeds, and void if not registered. For these reasons, it is difficult that the claims based on the extended retention of title clause would be upheld.

• Information Systems Review
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• v.21 no.2
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• pp.117-137
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• 2019

In the Big Data era, data science has become popular with the production of numerous data in various domains, and the power of data has become a competitive power. There is a growing interest in unstructured data, which accounts for more than 80% of the world's data. Along with the everyday use of social media, most of the unstructured data is in the form of text data and plays an important role in various areas such as marketing, finance, and distribution. However, text mining using social media is difficult to access and difficult to use compared to data mining using numerical data. Thus, this study aims to develop Korean Natural Language Application (KoALA) as an integrated application for easy and handy social media text mining without relying on programming language or high-level hardware or solution. KoALA is a specialized application for social media text mining. It is an integrated application that can analyze both Korean and English. KoALA handles the entire process from data collection to preprocessing, analysis and visualization. This paper describes the process of designing, implementing, and applying KoALA applications using the design science methodology. Lastly, we will discuss practical use of KoALA through a block-chain business case. Through this paper, we hope to popularize social media text mining and utilize it for practical and academic use in various domains.

• Cartoon and Animation Studies
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• s.44
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• pp.85-116
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• 2016

This is the in-depth research dealing with Animatoon, the only animation-specialized magazine in Korea. By examining articles provided under the 'Animatoon Report' category, which is one of article categories set by the publisher, this research tries to find out the topic of articles and examine the tendency of topic. 'Animatoon Report' is chosen because the category title does not clearly show characteristics of articles, but has the second largest number of articles among all categories. First, the articles of the first ten years (1995-2005) has the largest number of pages as well as images, which means each article of this period tries to enrich its contents. Second, the role of magazine reporters are not critical considering the number of articles written by reporters are smaller than those made by the editorial department. Third, articles tries to deal with diverse issues and are mostly placed in front of the magazine. Fourth, in early days, articles used to provide the 3~5 lines of introductory summaries, but changed into provide the lead, the Korean and English subtitle, and so on. Fifth, articles mostly focus on issues of animation and Korea rather than other areas and countries. The results on the basis of article type are as follows. Among the types of people, work, organization/company, event, policy/industry, and etc, the policy/industry type has the largest amount of articles, and articles on the policy and those on the industry shows similar number of articles. Second, the event type has the second largest number of articles even though there are several separate categories only for the event. Third, articles in the et cetera type are often seen in early days because Animatoon who did not systemize the company itself focused on animation history and production techniques. Fourth, articles both on the people and the work type are consistently seen through the whole time period, but those on organization/company and event has more and more articles as time passes. In conclusion, it is possible to mention that the 'Animatoon Report' type shows more interest in policy and industry, and its interest on both issues are consistently seen from 2001 to 2015.

• Management & Information Systems Review
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• v.35 no.1
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• pp.85-116
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• 2016

The present study aims to explore the causes of employment difficulty on the basis of job applicant's interest from P-E (person-environment) fit perspective. Our approach relied on a textual analytic method to reveal insights from their situational interests in a job search during the change of labor market. Thus, to investigate the type of major interests and psychological responses, user-generated texts in a social community were collected for analysis between January 1, 2013 through December 31, 2015 by crawling the online-community in regard to job seeking and sharing information and opinions. The results of topic analysis indicated user's primary interests were divided into four types: perception of vocation expectation, employment pre-preparation behaviors, perception of labor market, and job-seeking stress. Specially, job applicants put mainly concerns of monetary reward and a form of employment, rather than their work values or career exploration, thus youth job applicants expressed their psychological responses using contextualized language (e.g., slang, vulgarisms) for projecting their unstable state under uncertainty in response to environmental changes. Additionally, they have perceived activities in the restricted preparation (e.g., certification, English exam) as determinant factors for success in employment and suffered form job-seeking stress. On the basis of these findings, current unemployment matters are totally attributed to the absence of pursing the value of vocation and job in individuals, organizations, and society. Concretely, job seekers are preoccupied with occupational prestige in social aspect and have undecided vocational value. On the other hand, most companies have no perception of the importance of human resources and have overlooked the needs for proper work environment development in respect of stimulating individual motivation. The attempt in this study to reinterpret the effect of environment as for classifying job applicant's interests in reference to linguistic and psychological theories not only helps conduct a more comprehensive meaning for understanding social matters, but guides new directions for future research on job applicant's psychological factors (e.g., attitudes, motivation) using topic analysis.

• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.19-43
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• 2014

The Pareto principle, also known as the 80-20 rule, states that roughly 80% of the effects come from 20% of the causes for many events including natural phenomena. It has been recognized as a golden rule in business with a wide application of such discovery like 20 percent of customers resulting in 80 percent of total sales. On the other hand, the Long Tail theory, pointing out that "the trivial many" produces more value than "the vital few," has gained popularity in recent times with a tremendous reduction of distribution and inventory costs through the development of ICT(Information and Communication Technology). This study started with a view to illuminating how these two primary business paradigms-Pareto principle and Long Tail theory-relates to the success of virtual knowledge collaboration. The importance of virtual knowledge collaboration is soaring in this era of globalization and virtualization transcending geographical and temporal constraints. Many previous studies on knowledge sharing have focused on the factors to affect knowledge sharing, seeking to boost individual knowledge sharing and resolve the social dilemma caused from the fact that rational individuals are likely to rather consume than contribute knowledge. Knowledge collaboration can be defined as the creation of knowledge by not only sharing knowledge, but also by transforming and integrating such knowledge. In this perspective of knowledge collaboration, the relative distribution of knowledge sharing among participants can count as much as the absolute amounts of individual knowledge sharing. In particular, whether the more contribution of the upper 20 percent of participants in knowledge sharing will enhance the efficiency of overall knowledge collaboration is an issue of interest. This study deals with the effect of this sort of knowledge sharing distribution on the efficiency of knowledge collaboration and is extended to reflect the work characteristics. All analyses were conducted based on actual data instead of self-reported questionnaire surveys. More specifically, we analyzed the collaborative behaviors of editors of 2,978 English Wikipedia featured articles, which are the best quality grade of articles in English Wikipedia. We adopted Pareto ratio, the ratio of the number of knowledge contribution of the upper 20 percent of participants to the total number of knowledge contribution made by the total participants of an article group, to examine the effect of Pareto principle. In addition, Gini coefficient, which represents the inequality of income among a group of people, was applied to reveal the effect of inequality of knowledge contribution. Hypotheses were set up based on the assumption that the higher ratio of knowledge contribution by more highly motivated participants will lead to the higher collaboration efficiency, but if the ratio gets too high, the collaboration efficiency will be exacerbated because overall informational diversity is threatened and knowledge contribution of less motivated participants is intimidated. Cox regression models were formulated for each of the focal variables-Pareto ratio and Gini coefficient-with seven control variables such as the number of editors involved in an article, the average time length between successive edits of an article, the number of sections a featured article has, etc. The dependent variable of the Cox models is the time spent from article initiation to promotion to the featured article level, indicating the efficiency of knowledge collaboration. To examine whether the effects of the focal variables vary depending on the characteristics of a group task, we classified 2,978 featured articles into two categories: Academic and Non-academic. Academic articles refer to at least one paper published at an SCI, SSCI, A&HCI, or SCIE journal. We assumed that academic articles are more complex, entail more information processing and problem solving, and thus require more skill variety and expertise. The analysis results indicate the followings; First, Pareto ratio and inequality of knowledge sharing relates in a curvilinear fashion to the collaboration efficiency in an online community, promoting it to an optimal point and undermining it thereafter. Second, the curvilinear effect of Pareto ratio and inequality of knowledge sharing on the collaboration efficiency is more sensitive with a more academic task in an online community.

• Journal of Intelligence and Information Systems
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• v.17 no.1
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• pp.139-152
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• 2011

Recommender systems have become an important research field since the emergence of the first paper on collaborative filtering in the mid-1990s. In general, recommender systems are defined as the supporting systems which help users to find information, products, or services (such as books, movies, music, digital products, web sites, and TV programs) by aggregating and analyzing suggestions from other users, which mean reviews from various authorities, and user attributes. However, as academic researches on recommender systems have increased significantly over the last ten years, more researches are required to be applicable in the real world situation. Because research field on recommender systems is still wide and less mature than other research fields. Accordingly, the existing articles on recommender systems need to be reviewed toward the next generation of recommender systems. However, it would be not easy to confine the recommender system researches to specific disciplines, considering the nature of the recommender system researches. So, we reviewed all articles on recommender systems from 37 journals which were published from 2001 to 2010. The 37 journals are selected from top 125 journals of the MIS Journal Rankings. Also, the literature search was based on the descriptors "Recommender system", "Recommendation system", "Personalization system", "Collaborative filtering" and "Contents filtering". The full text of each article was reviewed to eliminate the article that was not actually related to recommender systems. Many of articles were excluded because the articles such as Conference papers, master's and doctoral dissertations, textbook, unpublished working papers, non-English publication papers and news were unfit for our research. We classified articles by year of publication, journals, recommendation fields, and data mining techniques. The recommendation fields and data mining techniques of 187 articles are reviewed and classified into eight recommendation fields (book, document, image, movie, music, shopping, TV program, and others) and eight data mining techniques (association rule, clustering, decision tree, k-nearest neighbor, link analysis, neural network, regression, and other heuristic methods). The results represented in this paper have several significant implications. First, based on previous publication rates, the interest in the recommender system related research will grow significantly in the future. Second, 49 articles are related to movie recommendation whereas image and TV program recommendation are identified in only 6 articles. This result has been caused by the easy use of MovieLens data set. So, it is necessary to prepare data set of other fields. Third, recently social network analysis has been used in the various applications. However studies on recommender systems using social network analysis are deficient. Henceforth, we expect that new recommendation approaches using social network analysis will be developed in the recommender systems. So, it will be an interesting and further research area to evaluate the recommendation system researches using social method analysis. This result provides trend of recommender system researches by examining the published literature, and provides practitioners and researchers with insight and future direction on recommender systems. We hope that this research helps anyone who is interested in recommender systems research to gain insight for future research.

• The Journal of Art Theory & Practice
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• no.4
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• pp.33-56
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• 2006

The cultural debates between conservatives and liberals at the end of the 1980s and in the early 1990s were termed as "culture wars." The "culture wars" involved a diverse range of controversial issues, such as the introduction of multicultural curricula in educational institutions, prayers in schools, whether to allow gays to serve openly in the military, and whether abortion should be permitted. The most heated debates of the "culture wars" regarding art raged over the NEA and the question of whether Andres Serrano's works should have been publicly funded, in addition to the exhibition "Robert Mapplethorpe: The Perfect Moment" which were charged as projecting "obscene" or "blasphemous" images. This paper examines the development of culture wars in art and focuses on several issues invoked by the NEA debates. However, it is not a detailed chronological investigation. Rather it pays attention to the several phases of the debates, analyzing and criticizing the clashes of the political and esthetical points of views between conservatives and liberals. How could NEA funding, a mere fraction of the federal budget, have become so critical for both sides(conservative and liberal), for politicians and artists' groups, and for academics and the general public? The art community was astounded by this chain of events; artists personally reviled, exhibitions withdrawn and under attack, the NEA budget threatened, all because of a few images. For conservative politicians, the NEA debate was not only a battle over the public funding of art, but a war over a larger social agenda, a war for "American values and cultures"based on the family, Christianity, the English language, and patriarchy. Conservative politicians argued the question was not one of "censorship" but of "sponsorship," since the NEA charter committed it to "helping museums better serve the citizens of the United States."Liberals and art communities argued that the attempt to restrict NEA funding violated the First Amendment rights of artists, namely "free speeches." "No matter how divided individuals are on matters of taste," Arthur C. Danto wrote, "freedom is in the interest of every citizen." The interesting phase is that both sides are actually borrowing one another's point of view when they are accompanied by art criticism. Kramer, representative of conservative art critic, objected the invasion of political contents or values in art, and struggled to keep art's own realm by promoting pure aesthetic values such as quality and beauty. But, when he talked about Mapplethorpe's works, he advocated political and ethical values. By contrast, art experts who argued for Mapplethorpe's works in the Cincinnati trial defended his work, ironically by ignoring its manifest sexual metaphor or content although they believed that the issues of AIDS and homosexuality in his work were to be freely expressed in the art form. They adopted a formalistic approach, for example, by comparing a child nude with putti, a traditional child-angel icon. For a while, NEA debates made art institutions, whether consciously or unconsciously, exert self-censorship, yet at the same time they were also producing positive aspects. To the majority of people, art was still regarded as belonging to the pure aesthetic realm away from political, economical, and social ones. These debates, however, were expanding the very perspective on the notion of what is art and of how art is produced, raising questions on art appreciation, representation, and power. The interesting fact remains: had the works not been swiped in NEA debates, could the Serrano's or Mapplethorpe's images gain the extent of power and acceptance that it has today?

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.32 no.3
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• pp.69-81
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• 2014

Herman $F{\ddot{u}}rst\;P{\ddot{u}}ckler-Muskau$ is one of important figures in German landscape architecture who designed both Muskau Park and Branitz Park and published garden book Andeutungen ${\ddot{u}}ber$ Landschaftgartenerei (Hints on Landscape Gardening) in 1834. He was a German nobleman who governed Muskau estates while working as both a writer and a landscape gardener. German landscape gardening was grounded on Romanticism, which was represented in diverse ways such as the reconciliation between man and nature, the liberation of reason, and the pursuit of liberty. The intellectuals came to have an interest on landscape gardening since the garden carried the cultural connotation such as the idealized epitome of nature. This study is to investigate how his idea of landscape gardening had been developed through his personal life and social background and to find out his landscape gardening theory and its unique gardening techniques. Finally, the inventive aspect of his garden theory and contemporary significances in practices were discussed. $P{\ddot{u}}cklers^{\prime}$ personal experience and social background provide us to understand the idea of garden. First, there was a mixture between reality and fantasy in his garden theory. It was due to the influence of Romanticism and literary garden. Second, his gardening mentality and technique were influenced by the late 18th century English garden practices, which emphasized the expressive aspects. Third, $P{\ddot{u}}cklers^{\prime}$ inner disposition and personal experience were represented in his garden design. Fourth, the intention of creating landscape garden for the local people might be a self realization of his contradictory characters between falling nobleman and liberal social leader. The significant value of $P{\ddot{u}}ckler^{\prime}s$ garden idea might be closely related in the dual nature of humanistic garden tradition and garden practice for social agenda. Therefore, his garden idea pursued of the comprehensive landscape strategies toward ideal communities and ethical spirits while concerning ecological, social, economic sustainable development of the region. Furthermore, his landscape gardening aims at the total landscape encompassing garden to region as well as the Gesamtkunst combing the beautiful with the useful. $P{\ddot{u}}ckler^{\prime}s$ holistic attitude gives us fresh insights and new directions to contemporary landscape theory and practice.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.109-125
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• 2019

As interest on intelligent search engines increases, various studies have been conducted to extract and utilize the features related to products intelligencely. In particular, when users search for goods in e-commerce search engines, the 'color' of a product is an important feature that describes the product. Therefore, it is necessary to deal with the synonyms of color terms in order to produce accurate results to user's color-related queries. Previous studies have suggested dictionary-based approach to process synonyms for color features. However, the dictionary-based approach has a limitation that it cannot handle unregistered color-related terms in user queries. In order to overcome the limitation of the conventional methods, this research proposes a model which extracts RGB values from an internet search engine in real time, and outputs similar color names based on designated color information. At first, a color term dictionary was constructed which includes color names and R, G, B values of each color from Korean color standard digital palette program and the Wikipedia color list for the basic color search. The dictionary has been made more robust by adding 138 color names converted from English color names to foreign words in Korean, and with corresponding RGB values. Therefore, the fininal color dictionary includes a total of 671 color names and corresponding RGB values. The method proposed in this research starts by searching for a specific color which a user searched for. Then, the presence of the searched color in the built-in color dictionary is checked. If there exists the color in the dictionary, the RGB values of the color in the dictioanry are used as reference values of the retrieved color. If the searched color does not exist in the dictionary, the top-5 Google image search results of the searched color are crawled and average RGB values are extracted in certain middle area of each image. To extract the RGB values in images, a variety of different ways was attempted since there are limits to simply obtain the average of the RGB values of the center area of images. As a result, clustering RGB values in image's certain area and making average value of the cluster with the highest density as the reference values showed the best performance. Based on the reference RGB values of the searched color, the RGB values of all the colors in the color dictionary constructed aforetime are compared. Then a color list is created with colors within the range of ${\pm}50$ for each R value, G value, and B value. Finally, using the Euclidean distance between the above results and the reference RGB values of the searched color, the color with the highest similarity from up to five colors becomes the final outcome. In order to evaluate the usefulness of the proposed method, we performed an experiment. In the experiment, 300 color names and corresponding color RGB values by the questionnaires were obtained. They are used to compare the RGB values obtained from four different methods including the proposed method. The average euclidean distance of CIE-Lab using our method was about 13.85, which showed a relatively low distance compared to 3088 for the case using synonym dictionary only and 30.38 for the case using the dictionary with Korean synonym website WordNet. The case which didn't use clustering method of the proposed method showed 13.88 of average euclidean distance, which implies the DBSCAN clustering of the proposed method can reduce the Euclidean distance. This research suggests a new color synonym processing method based on RGB values that combines the dictionary method with the real time synonym processing method for new color names. This method enables to get rid of the limit of the dictionary-based approach which is a conventional synonym processing method. This research can contribute to improve the intelligence of e-commerce search systems especially on the color searching feature.