상관계수가 변수간의 선형 상관관계를 나타내듯이 mutual information은 변수간의비선형 상관관계를 나타내준다. 본 논문에서는 mutual information 추정법으로 다변수 핵 미도함수(multivariate kernel density estimator)를 이용한 방법이 여러 time lags값에 대하여 산정 되었다. 많은 수문자료에서 보여지는 비선형 관계를 Mutual Information으로 확인하여 보았고, 또한 Mutual Infor

For the prediction of multi-site rainfall with radar data and ground meteorological data, a rainfall prediction model was proposed, which uses the neural network theory, a kind of artifical intelligence technique. The input layer of the prediction model was constructed with current ground meteorological data, their variation, moving vectors of rainfall field and digital terrain of the measuring site, and the output layer was constructed with the predicted rainfall up to 3 hours. In the application of the prediction model to the Pyungchang river basin, the learning results of neural network prediction model showed more improved results than the parameter estimation results of an existing physically based model. And the proposed model comparisonally well predicted the time distribution of rainfall.

The purpose of this study is to develop the data structure for querying database of a rural house design. It is necessary, for developing the data structure, to define items of rural houses and to study about the processing of the data. The classifications of rural houses can be differed in the subjective opinion for computerization. In this study, items of classified rural houses can be expressed numerically, like size and number of room. The user who has insufficient knowledge about house is hard to input items fit personal taste. The querying algorithm was developed using the relationship of items and functions of house. Functions of house mean family life-style and how they use space.

전국적인 가뭄특성을 조사하고 '94-'95 가뭄의 심도를 기왕의 주요 가뭄과 비교평가하기 위하여 전국의 47개 소유역으로 분할한 후 강우량계열로부터 작성된 가뭄우량계열의 지역빈도분석을 실시하였다. L-모멘트법을 사용하여 적정확률분포의 매개 변수를 결정하였으며, 강우지속기간별, 재현기간별 가뭄우량을 산정하여 지속기간별 확률가뭄우량도를 작성하였다. 강우지속기간-재현기간-가뭄우량 관계를 고려하여 '94-'95 가뭄의 심도와 지역적 범위를 기왕의 주요가뭄과 비

Park, Sang-soo. 1996. The Effect of Formal Features on the Word Order Change in the History of English. Studies in Modern Grammatical Theories 9: 27-55. According to the descriptive study of texts of OE, the underlying word order of Late OE should be analyzed as a double base hypothesis. We therefore propose that the functional category of IP had both I-final SOVI and I-initial SIOV and the lexical category of VP had head-initial OV in the OE underlying structure. In the Minimalist Program the operation Attract-F is driven by the morphological considerations: the requirement that some formal features must be attracted to the functional category and checked off before Spell-out. We can explain the verb-seconding and the topicalization of OE main clauses using the operation Attract-F. The strong features of [+finite] and [+topicJ appear in the C of CP and attract the morphological features of lexical category to check the verb-seconding in the C and the topicalization in the Spec of CP. The change of underlying word order from SOVI and SIOV of OE to SIVO of ME was triggered by the inflections which were rich and full in the OE period but became reduced and levelled in the ME period The levelled inflections of ME provided the morpho-syntactic motivation for the reanalysis of underlying word order that caused the [+finite] feature in C to incorporate into the (+tense] feature in I and made the verb-seconding and the cliticization disappear in the ME period.