• Journal of the Korean Society of Costume
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• v.54 no.7
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• pp.41-54
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• 2004

This study purposed to apply function form content, the three concepts that have been discussed by many philosophers since ancient times, to fashion design. Specific research goals are : first, to define fashion design based on the three concepts : and second, to examine how each of the three concepts function-oriented, form-oriented and content-oriented design have been expressed in women's fashion in the $20^{th} century. For these purposes. the author considered Morris' semiotics, which is the theoretical background of the three concepts, reviewed previous researches in design area, and applied the findings to fashion design. According to the result of applying the threefold structure of semiotics. which is the theoretical background of the three concepts, the pragmatic dimension of fashion design comprehends all functional rules related to the use of dress such as body motion and protection, health and safety. air flow and durability, and its syntactic dimension comprehend all the formal elements of visual design such as the structure, shape, line, color and material of dress. The semantic dimension of fashion design includes the symbolic meanings of dress expressed by emotion, sentiment and images. The three dimensions exist interdependently with one another. According to the result of considering the characteristics of the three concepts in the scope of women's fashion in the $20^{th} century. function-oriented design is characterized by practicality and simplicity, and has been expressed as the fashion of functionalism in the 1920s, that of minimalism in the 1960s, and the basic style from 1970s to 1980s, 1990s and the present. Form-oriented design has pursued aestheticism, putting stress upon form, and has been expressed with organic shapes imitating patterns found in nature in the 1950s and with optical art fashion in the 1960s. Content-oriented design attaches importance to transmission of delicate meanings related to the mental world of human beings, and is represented with symbolic forms. Such a characteristic has been expressed in fashion in the early 20th century influenced by surrealism and, with various types of design breaking established forms as well as metaphors and humors that characterize design in the late 20th century.

• Language and Information
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• v.14 no.2
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• pp.71-84
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• 2010

The aim of this paper is to propose that a category P is encapsulated within a functional layer above the lexical layer, just like vP containing a lexical VP. As is well known, the category P has long been in the obscure domain of syntactic studies: Marantz (2001) and den Dikken (2003), for example, argue that P is a lexical category, but Emonds (1985), Grimshaw (1991), and Baker (2003), maintain that the category P is functional and is a closed category without its own intrinsic meaning. On the other hand, Zwart (2005) argues that it does have some meaning. Following the works of Svenonius (2003, 2006, 2007), and the spirit of Rizzi's (1997) split CP hypothesis, we elaborate and develop Svenonius' idea of split-pP analysis with detailed schematic representations of the novel examples in English, Korean, and Chinese in this paper. Unlike Svenonius, however, this paper incorporates KP into pP-Shell, which is a substantial simplification. Furthermore, Chinese Localizers that have long been considered as Postpositions are now under the category of Prepositions. This proposal renders an X-bar theoretic consistency over the categorical status of Chinese phrasal structures. In short, the present analysis accounts for inconsistency found in English complex preposition phrase (Quirk, et al, 1972, 1985), Chinese circumposition phrase (Ernst 1988, Liu, 2002) and Korean postposition phrase in a unified and consistent manner. Furthermore, by proposing a finer-grained phrasal architecture for the category P, the controversial status of the category subsides within this analysis.

• Lingua Humanitatis
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• v.2 no.1
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• pp.93-127
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• 2002

This paper deals with a class of Middle English impersonal constructions that involve verbs of two-place argument structure. As is generally understood, the term 'impersonal' is notoriously murky, and after all those researches that have been performed in this area, quite a few issues still remain controversial. The issues we center around in the present study concern the following two. In the type of impersonal constructions we consider, the two arguments-Cause and Experiencer-are both expressed in oblique case, posing the problem of determining which of them functions as the grammatical subject. The issue, however. is not how an argument in oblique case can be taken as the subject: it is well blown that the so called 'dative subject Experiencer' already occurred in Old English. The real issue is why both of the arguments are syntactically realized as nonnominative. The other issue concerns the 3rd-person singular form of the verb. Here again, the crux of the problem may be blurred by the fact that impersonal construction is often defined as one in which the verb has 3rd-person singular form with no apparent nominative W controlling verb concord. But this definition is more nebulous than clear because the notion 'subjectless' is itself highly controversial. Thus, for an expression like me thinketh that-S, it may well be that the verb thinketh ('seems') is 3rd-person singular because the that-clause is the subject. What should be explained of the data brought up here is why the impersonal verb is 3rd-person singular when neither of the NPs associated with it is 3rd person or singular. I argue that we can account for our paradigm examples by looking upon them as 'mixed construction' in which semantic interpretation conflicts with syntactic parsing as a result of case syncretism and gradual establishment of SVO word order. This amounts to saying that the peculiarities of the construction originate with the confused use of impersonal verbs between the sense of 'give an impression' and that of 'receive and impression.'

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.74-78
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• 1992

This paper describes an intelligent system to automatic evaluation of eddy current(EC) signal for Inspection of steam generator(SG) tubes in nuclear power plant. Some features of the intelligent system design in the proposed system are : (1) separation of representation scheme ,or event capturing knowledge in EC signal and for structural inspection knowledge in SG tubes inspection; (2) each representation scheme is implemented in different methods, one is syntactic pattern grammar and the other is rule based production. This intelligent system also includes an data base system and an user interface system to support integration of the hybrid knowledge processing methods. The intelligent system based on the proposed concept is useful in simplifying the knowledge elicitation process of the rule based production system, and in increasing the performance in real time signal inspection application.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.288-295
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• 2016

As the computer becomes pervasive in everyday life, the programming arises as an essential technique. To support the education of programming, Republic of Korea has launched a plan to develop the official courses of programming by 2018. However, the programming education in Korea tends to be difficult and the students easily lose their concentration since most of programming languages are based on English. This paper proposes a Korean programming language called Saesark to promote the effective programming education for Korean students. Saesark has been developed based on Java, which supports the object-oriented programming and the lambda expressions. In order to evaluate the educational suitability of Saesark, we compared it with other Korean programming languages in three respects: syntactic features, IDE support, and error messages in Korean. According to the comparison, Saesark is revealed more suitable than other languages. Specifically, the IDE features and the error messages in Korean are expected to be mostly valuable in educating novice programmers.

• Journal of KIISE:Software and Applications
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• v.28 no.11
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• pp.822-832
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• 2001

We have implemented an inductive learning system that learns PROSPECTOR-rule-style classification rules from sets of examples. In our a approach, a genetic algorithm is used in which a population consists of rule-sets and rule-sets generate offspring through the exchange of rules relying on genetic operators such as crossover, mutation, and inversion operators. In this paper, we describe our learning environment centering on the syntactic structure and meaning of classification rules, the structure of a population, and the implementation of genetic operators. We also present a method to evaluate the performance of rules and a heuristic approach to generate rules, which are developed to implement mutation operators more efficiently. Moreover, a method to construct a classification system using multiple learned rule-sets to enhance the performance of a classification system is also explained. The performance of our learning system is compared with other learning algorithms, such as neural networks and decision tree algorithms, using various data sets.

• The KIPS Transactions:PartD
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• v.9D no.6
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• pp.1091-1096
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• 2002

This paper presents the development of a protein interaction database. The developed system is characterized as follows. First, the proposed system not only maintains interaction data collected by an experiment, but also the genomic information of the protein data. Secondly, the system can extract details on interacting proteins through the developed wrappers. Thirdly, the system is based on wrapper-based system in order to extract the biologically meaningful data from various web sources and integrate them into a relational database. The system inherits a layered-modular architecture by introducing a wrapper-mediator approach in order to solve the syntactic and semantic heterogeneity among multiple data sources. Currently the system has wrapped the relevant data for about 40% of about 11,500 proteins on average from various accessible sources. A wrapper-mediator approach makes a protein interaction data comprehensive and useful with support of data interoperability and integration. The developing database will be useful for mining further knowledge and analysis of human life in proteomics studies.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.6
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• pp.663-667
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• 2010

A simple approach to semantic document-retrieval is to measure document similarity based on the bag-of-words representation, e.g., cosine similarity between two document vectors. However, such a syntactic method hardly considers the semantic similarity between documents, often producing semantically-unsound search results. We circumvent such a problem by combining supervised machine learning techniques with ontology information based on Markov logic. Specifically, Markov logic networks are learned from similarity-tagged documents with an ontology representing the diverse relationship among words. The learned Markov logic networks, the ontology, and the training documents are applied to the semantic document-retrieval task by inferring similarities between a query document and the training documents. Through experimental evaluation on real world question-answering data, the proposed method has been shown to outperform the simple cosine similarity-based approach in terms of retrieval accuracy.

• Journal of KIISE:Software and Applications
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• v.32 no.3
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• pp.153-162
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• 2005

Component Based Development (CBD) is appealing as a technology to improve the productivity of software development through component reuse. Model Driven Architecture (MDA) is a new development paradigm which automatically generates application by transforming design models incrementally. Since both reusability of CBD and model transformation of MDA increase software productivity. integration of two technologies is desirable. To enable this technology integration, we need to devise a UML profile for specifying component design as a PIM. In this paper, we first define a meta-model for components, and propose a UML profile which is used to specify elements of component design as PIM. Since the proposed profile is based on Meta Object Facility (MOF) from which is MDA is derived, it is consistent and compatible with existing MDA methods and tools.

• Journal of KIISE:Information Networking
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• v.32 no.2
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• pp.123-133
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• 2005

In recent years, service discovery is one of the major technologies of home networks which head for a pervasive computing environment. However, existing service discovery techniques are difficult to understand semantics, and they only provide syntactic level service matching. To solve these problems, we have designed and developed ontology for semantic service discovery. Our ontology could enrich the amount of devices and services representations with semantics, and the relation of devices and service could be efficiently described through primitive service. For representing context information of devices, we describe attributes of device including location information, device status and etc. To determine whether the developed ontology can be applied to service discovery systems, we have implemented a semantic service discovery system by extension of the existing Jini lookup service. Also, we have evaluated our ontology with associated software environment according to some experiment scenarios, and have proved the usefulness of our ontology-based semantic service discovery system.