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강경인 ( Kang Kyeongin ) 대한영어영문학회 1997 영어영문학연구 Vol.23 No.1
A distinction is made between common nouns and proper nouns in traditional grammar. These are names for persons, geographical units and many other concrete and abstract entities, while those arc nouns that refer to a kind of persons and things. In this paper we depend the idea that the difference between common nouns and proper nouns is basically a difference in logical type. The distinction between common nouns and proper nouns is related to the presence of a referential arguments. The referential argument R is only present in common nouns, not in proper nouns. The absence of R in proper nouns explains the very restricted range of determiners and modifiers they allow. The presence of a referential argument corresponds with a semantic, type-theoretical difference. Nouns with R arc interpreted as predicates, expressions of type < e, t >, but nouns without R are interpreted as individual constants, expressions of type e. In section 2 this explains the limited range of determiners and modifiers of proper nouns. In section 3, the analysis of proper nouns will be extended to definite generics, which can be seen as proper names for kinds. In this way we can distinguish between proper nouns for entities on two kinds of levels. Lexical rules map between these different sorts of nouns by manipulating the referential argument. Proper nouns can be turned into common nouns by adding R in the argument-structure. There is a concomitant shift of types from e to <e, t>. By deleting of the R of common nouns, proper nouns for kinds can be made, which are used in definite generics. These show the same restricted possibilities of determination and modification as ordinary proper nouns. Here the type-shift goes from <e, t> to e.
박경배,이광배,김정일,강경인,김재철,김현욱 明知大學校 産業技術硏究所 1997 産業技術硏究所論文集 Vol.16 No.-
In this paper we propose new image coding using wavelet transform. the new method constructs hierarchical bit plane. The Proposed algorithm not only supports multi-resolution, dividing original image into special band and various resolution but also reduces blocking effects that come into JPEG. In Encoding time this algorithm considers each band characters and priority of transport order, and applies to fast search of image.