• The Transactions of The Korean Institute of Electrical Engineers
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• 제59권6호
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• pp.1150-1158
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• 2010

In this paper, a new reliable portable activity monitoring device implemented with the buddhist-style bowing activity and walking step detection algorithm, is presented. In order to monitor the bowing and walking activities, miniaturized 3-axis accelerometer sensor with the sensitivity of 800 mV/g was used. After initial signal conditioning, vector magnitude of accelerometer signals was calculated. Syntactic peak detection method was used in order to feature points. All signal processing algorithms were implemented in ultra-low power microcontroller MSP430 with double precision floating point arithmetic. For evaluation, 19 young man($24.22\pm5.22$ yrs) and woman($22.28\pm2.72$ yrs) were involved. The accuracy of the proposed algorithms were 98.91 %($\pm0.011$) for walking step detection and 98.25 %($\pm0.023$) for buddhist-style bowing activity. Comparing to the commercialized pedometer accuracy, 87.1 %($\pm0.058$), the proposed walking step detection algorithms show more reliable accuracy.

• Proceedings of the Korea Contents Association Conference
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• 한국콘텐츠학회 2004년도 추계 종합학술대회 논문집
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• pp.265-268
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• 2004

Keyword matching technique which is used in most information retrieval systems is unfit for efficient processing of geometrically increasing information. The problem can be solved by using semantic information and an efficient method of semantic processing is introduced in this paper. The technique uses conceptual graph to represent the semantic information and apply it for information retrieval. The implemented system can perform exact matching and partial matching. Partial matching has two different types. One is syntactic partial matching and the other is semantic partial matching. The semantic semilaries are measured by the subclass relations in the ontology. The introduced technique can be used not only information retrieval but also in various applications such as an implementation of dynamic hyperlinks.

• Proceedings of the Korea Contents Association Conference
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• 한국콘텐츠학회 2004년도 추계 종합학술대회 논문집
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• pp.470-475
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• 2004

In this paper, we propose a method to extract a definitional answer sentence for a Definitional Question-Answering System. definitional answer sentence patterns are manually constructed with restriction rules to patterns, and a ranking information of the pattern using its frequency from the corpus. answer sentence pattern consists of the syntactic structure of a definitional answer sentence, and clue words. this system show 83% accuracy for untrained corpus.

• Korean Journal of Cognitive Science
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• 제13권1호
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• pp.41-51
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• 2002

In this paper, I describe a knowledge-based question-answering system and significance of the system with a view to constructing a fact database. The knowledge-based system takes advantage of existing NLP-resources such as conceptual structures of ontologies along with morphotogical, syntactic and semantic analysis. The use of conceptual structures allows us to select right answers through inferences basically made by expansions of concepts. However, the work of constructing factual knowledge requires a great amount of acquisition time in large-scale applications because of the nature of human interference. This is why the procedure of acquiring factual knowledge cannot be fully automated. Apart from efficiency considerations. the knowledge-based system deserves serious consideration, I point out benefits of the system and describe the whole procedure of building the system in terms of a fact database.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제11권8호
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• pp.3070-3075
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• 2010

Through Web 2.0 days, the end users express their opinions and thoughts for blogs and community spaces on the Internet. These opinions and thoughts are used to purchase products, however, users only refer to a few comments not overall opinions. Opinion Analysis System is an opinion search, developed from a natural language search, which analyzes the product's positive or negative evaluations using opinions of products and services on the Internet. In this paper, we suggest a syntactic analysis and inverse processing system that studies and processes 'Positive', 'Negative', 'Neutral' in addition to 'Inverse' information to analyze 'positive' or 'negative' for the core of sentences in Opinion Analysis Service.

• Korean Journal of Cognitive Science
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• 제2권1호
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• pp.109-142
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• 1990

The present pater aims to review Barriers framework proposed by chomsky(1986b) to point out some potential problems and to give an alternative definition of barriers.Chomsky assumes that adjunction to non-argument is possible for syntactic movement But this assumption results in overgeneration of ungrammatical sentences.We do not allow any adjunction in syntax,and abandin the Empty Category Princile,instead we propose Head Licensing Cindition and Antecedent Condition.HLC requires empty non-proneminals to be marked by head either lexical or functional and AC states that traces should be 0-subjacent to their antecedents.

• Korean Journal of Cognitive Science
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• 제10권2호
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• pp.17-25
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• 1999

In developing a Korean database interfacing system exist many difficult problems which are not usually pointed out in developing an English version. Basically the difficulty in implementing deep level Korean database interfacing system lies in the fact that Korean has fewer syntactic restrictions. This means that while less burden will be placed on semantic analysis more burden will be placed on contextual processing for Korean when compared to English. This paper discusses various difficulties which we came across while developing a prototype Korean DB interfacing system (the Korean Core L Language Engine) especially focusing on issues of representing and resolving Quasi Logical Forms.

• Journal of the Korea Computer Industry Society
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• 제4권12호
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• pp.1103-1111
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• 2003

Information retrieval system with indexing system matching single keyword is simple and popular. But with single keyword matching it is very hard to represent the exact meaning of documents and the set of documents from retrieval is very large, therefore it can't satisfy the user of the information retrieval systems. This paper proposes a phrase-based indexing system based on the phrase, the larger syntax unit than a single keyword. Web documents include lots of syntactic errors, the natural language parser with high Quality cannot be expected in Web. Partial trees, even not a full tree, from fully bottom-up parsing is still useful for extracting phrases, and they are much more discriminative than single keyword for index. It helps the information retrieval system enhance the efficiency and reduce the processing overhead.

• Journal of Korea Multimedia Society
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• 제8권6호
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• pp.790-797
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• 2005

It is well-known that there are many similarities between Japanese and Korean language. For example, the order of words and the nature of the grammatical conjugation of both languages are almost the same. Another similarity is the frequent omission of the subject from a sentence. Moreover, both languages have honorific expressions and the identical concept for expressing nouns in terms of Chinese characters. Using these similarities, we have developed a word-to-word translation system which does away with any deep level analysis of syntactic and semantic structures of the two languages. If we use these similarities, the direct translation method is superior to the internal language translation method or transfer-based translation method. Although the MT system based on the direct translation method is more easily developed than the ones based on other methods, it may have a lot of difficulties when it tries to select the appropriate target word from ambiguous source verbs. In this paper, we propose a new algorithm to extract the meaning of substantives and to make use of the order of the extracted meaning. We could select $86.5\%$ appropriate verbs in the sample sentences from IPAL-verb-dictionary. $13.5\%$ indicates the cases in which we could not distinguish the meaning of substantives. We are convinced, however, that the succeeding rate can be increased by getting rid of the meaning of verbs thatare not used so often.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제3권4호
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• pp.240-244
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• 2002

Argument alternation in English sentences such as “load hay onto the truck" vs. “load the truck with hay" or “Bees are swarming in the. garden" vs. “The garden swarms with bees" present an interesting dilemma for linguistic theory in several ways. Along with each kind of syntactic rearrangement of arguments goes a subtle but significant and systematic change in the verb's meaning. This has been called as different terminology such as “Double-faced", “Verbal diathesis", and most commonly as “Argument alternation", Dowty adopts terminology: Agent-subject (A-subject) form and Location-subject (L-subject) form in referring the two kinds of sentences and analyses as well as describes their different properties. In this paper, I basically follow the Dowty(200l)'s assumption while surveying several linguists's analysis and show its theoretical adequacy. and show its theoretical adequacy.