• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.11
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• pp.1291-1299
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• 2003

In order to design the better brassiere in terms of appearance and functions, various parameters of the materials should be considered; in this study, fatigue properties and subjective sensation of wing materials and its relation to the preference for a brassiere was investigated. After the survey of commercially available products, five elastic fabrics such as cotton, Modal, polyester, nylon, and Tactel, all of which contain 10% polyurethane, were chosen as specimens. Fabric growth were determined to evaluate fatigue properties. Qmax was determined to evaluate the warm-cool feeling. For the sensory test, semantic differential scale which contains 15 adjectives were developed. Fatigue properties were very similar at the 20% elongation irrespective of the duration of tension, but at 40% and 100% elongation, man made fabric showed less growth than cellulose fabrics. The factor analysis showed four factors such as sense of warmth, smoothness, weight and elasticity. Preference of the specimens was ranked in the order of Tactel>Modal>cotton>nylon>polyester.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.3
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• pp.1442-1453
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• 2016

Now, there are prodigiously expanding worldwide economic networks in the information society, which require their social structural changes through technology innovations. This paper so tries to formally define a process-centered knowledge model to be used to analyze policy-making procedures on technology innovations. The eventual goal of the proposed knowledge model is to apply itself to analyze a topic network based upon composite keywords from a document written in a natural language format during the technology innovation procedures. Knowledge model is created to topic network that compositing driven keyword through text mining from natural language in document. And we show that the way of analyzing knowledge model and automatically generating feature keyword and relation properties into topic networks.

• Proceedings of the Korean Society for Language and Information Conference
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• 2001.06a
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• pp.25-58
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• 2001

This study explores the lexical-semantic structure of derived causative verbs in Korean based on Pustejovsky(1995)'s Generative Lexicon Theory (GL), Mor-phological causative verbs are derived from their root stems by affixing ‘-i, -hi, -li, -gi’ in Korean and the meanings of derived predicates are closely related to the meanings of their root verbs. In particular, the change of the ARGUMENT STRUCTURE by morphological derivation leads to the change of the EVENT STRUCTURE. In this study, causation is defined as the cause-effect relation having a causer. The ARGUMENT STRUCTURES of derived causative verbs includes a causer argument, which is added to the ARGUMENT STRUCTURE of their root verbs. Their EVENT STRUCTURE has a headed process related to a causer and their result is the event which their root verbs represent. This approach can also suggest that the (in)directness of causative is determined by which verb is its root and explain the difference between the morphological causativization and the syntactic causativization in Korean.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1998.11a
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• pp.189-194
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• 1998

Design factors are very important and deterministic in determining the first impression of products and environment. The final 30 number of channel button were chosen as a design factors at the Audio Unit. Then, we made the 8 types of prototype. with combining the design factors for experiment. Subjects rated the SD(Semantic Differential) evaluation sheets which have the 30 adjectives after watching each prototype. With the evaluated values, we simulated to identify the relation between the design factors and the adjectives using Neural Network. As a results, we could abstract the affective adjectives on each 8 types. Therefore, this research suggested the possibilities that we can infer the optimal design factors and types using Neural Network, if adjectives were given.

• Language and Information
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• v.10 no.2
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• pp.47-65
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• 2006

In this paper I address the problems of defining the semantics of numerals and accounting for how pragmatic inferences are made. I basically assume that a numeral n simply means '${\lambda}P{\lambda}x[#(x)n\;&\;P(x)]$', as commonly assumed. Even when a numeral n has 'at least' interpretation, a sentence with the number does not entail a sentence with n replaced with n-1. But when a sentence with n-1 holds, it is possible that a sentence with n or a larger number holds too. This is not based on a semantic relation, but on pragmatic informativeness. In addition to pragmatic strength, the actual reading of a numeral is affected by some background knowledge of generalizations about the world, but the ordering of pragmatic strength among numbers always plays a role in determining unilateral interpretations. In such a case, we can assume that a set of numbers relevant in the context forms a scale. Forming a scale does not necessarily lead to a unilateral interpretation. The bilateral interpretation of a number is possible in the context where it is known whether or not alternative sentences with contextually salient alternative numbers are true.

• Annual Conference on Human and Language Technology
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• 1999.10e
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• pp.310-315
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• 1999

본 논문에서는 기계가독형사전과 말뭉치로부터 명사의 의미관계정보를 추출하고, 추출된 의미관계정보와 명사에서 파생된 용언의 문형정보를 이용하여 복합명사를 해석하는 방법을 제안한다. 의미관계정보는 상 하위관계, 목적관계, 위치관계, 시간관계, 소유관계, 원인관계 등 11개에 대해서 정규식 패턴을 정의하여 기계가독형 사전과 말뭉치로부터 추출한다. 복합명사 해석은 한국어 복합명사의 대부분을 차지하는 '수식명사 + 핵심명사' 형태를 해석 대상으로 하며, 핵심명사의 특성에 따라 의미관계정보와 문형정보를 이용하여 해석한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1187-1190
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• 1993

The problem of the optimization of fuzzy relational models for dealing with (non-fuzzy) numerical data is investigated. In this context, interfaces optimization assumes particular importance, becoming a determinant factor in what concerns the overall model performance. Considering this, several scenarios for building fuzzy relational models are presented. These are: (i) optimizing I/O interfaces in advance (independently from the linguistic part of the model); (ii) optimizing I/O interfaces in advance and allowing that their optimized parameters may change during the learning of the linguistic part of the model; (iii) build simultaneously both interfaces and the linguistic subsystem; and (iv) build simultaneously both linguistic subsystem and interfaces, now subject to semantic integrity constraints. As linguistic subsystems, both a basic type and an extended versions of fuzzy relation equations are exploited in each one of these scenarios. A comparative analysis of the differ nt approaches is summarized.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.6
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• pp.766-771
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• 2006

In this paper, we focus on the building domain ontology from corpus by extracting concepts and properties relationships based on linguistic patterns. The pharmacy field is selected as an experiment domain and we present an algorithm to extract hierarchical structure for terminology based on the noun/suffix patterns of terminology in domain texts. In order to show usefulness of our domain ontology, we compare a typical keyword based retrieval method with an ontology based retrieval mettled which uses related information in an ontology for a related feedback. As a result, our method shows the improvement of precision by 4.97% without losing recall.

• 중국학논총
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• no.68
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• pp.1-28
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• 2020

本論文的目的在於探討古代漢語變調構詞的音義關係在閩南語詞典《廈新典》的文白異讀當中如何傳承下來。本研究尤其關注古代漢語的變調構詞與《廈新典》文白異讀的音義關係之間擁有緊密聯繫的七個例子, 並把此七例分成兩類, 《廈新典》中的"讀"字, "孫(遜)"字保留了與變調構詞完全一致的音義關係, 此類例子也保留了與現代漢語完全一致的音義關係。《廈新典》中的"塞"字, "取(娶)"字, "厭"字, "喪"字, "勞"字表示與變調構詞緊密的音義對應關係, 但是我們也能發現部分文讀音或者白話音的音義關係中略有出入。從變調構詞的觀點把《廈新典》中文白異讀音義關係的錯誤做了比較, 查到了《廈新典》中有關文讀音音義關係釋義的錯誤有9例, 有關白話音音義關係的錯誤有3例, 前者比後者的錯誤多達4倍。另外, 《廈新典》中義項的錯誤發生次數爲9次, 《臺多音》中義項的錯誤發生次數爲3次。此統計數字反映了與上古漢語有密切關係的白話音層次與中古漢語時期以來屢次持續傳入閩方言層次的差異。我們認為這些錯誤與英國牧師甘爲霖編著《廈新典》的目的應該有密切關係。

• KIPS Transactions on Software and Data Engineering
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• v.1 no.3
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• pp.159-168
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• 2012

Relation in the new IT environment, such as the SNS, Cloud, Web3.0, has become an important factor. And these relations generate a transaction. However, existing relational database and graph database does not processe graph structure representing the relationships and transactions. This paper, we propose the technique that can be processed concurrently graph structures and transactions in a scalable complex network system. The proposed technique simultaneously save and navigate graph structures and transactions using the Topic Maps data model. Topic Maps is one of ontology language to implement the semantic web(Web 3.0). It has been used as the navigator of the information through the association of the information resources. In this paper, the architecture of the proposed technique was implemented and design using Cassandra - one of column type NoSQL. It is to ensure that can handle up to Big Data-level data using distributed processing. Finally, the experiments showed about the process of storage and query about typical RDBMS Oracle and the proposed technique to the same data source and the same questions. It can show that is expressed by the relationship without the 'join' enough alternative to the role of the RDBMS.