• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.462-467
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• 2003

As for control systems, many researchers give optimal structures of the finite-word-length compensator. D. Williamson solved a fixed-point case against colored noise for the LQG problem. Recently, one of the authors derived an optimal filter against colored noise. And consequently, we apply the result to a twodegree-of-freedom control system in this paper. In addition the perturbation of the coefficients is considered. Furthermore, simulation results indicate this method gives better than other structures.

• The Journal of Information Systems
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• v.25 no.3
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• pp.217-245
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• 2016

Purpose With the increasing number of foreign travelers visiting Korea, it is a heavy question to evaluate service quality of typical domestic hotel companies. Our research aims to evaluate service quality of domestic hotels in Korea from the perspective of foreign travelers in order to provide the quality improvements that call attention for the hotel management. Design/Methodology/Approach In this paper, topics of sentiment followed Lodging Quality Index(LQI) dimensions classifying lodging service quality appropriately. Also, we employed word2vec algorithm which calculates similarity and affinity among the vocabularies accurately. To calculate sentiment of each dimension, we adopted scores from SentiWordNet. Findings From the result, we found the number of foreign travelers particularly satisfied with cleanliness, politeness, and problem solving skills. In contrast, it has also been found out that both promptness of services and efficiency of communication do not fulfill the requirements of travelers.

• Speech Sciences
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• v.8 no.3
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• pp.123-132
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• 2001

In recent years research on HCI technology has been very active and speech recognition is being used as its typical method. Its recognition, however, is deteriorated with the increase of surrounding noise. To solve this problem, studies concerning the multimodal HCI are being briskly made. This paper describes automated lipreading for bimodal speech recognition on the basis of image- and speech information. It employs audio-visual DB containing 1,074 words from 70 voice and tri-viseme as a recognition unit, and state tied HMM as a recognition model. Performance of automated recognition of 22 to 1,000 words are evaluated to achieve word recognition of 60.5% in terms of 22word recognizer.

• Education of Primary School Mathematics
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• v.17 no.1
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• pp.1-16
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• 2014

The purpose of this study is to analyze whether analogy distance and mathematical knowledge affect on transfer problems solving with different analogy distance. To conduct the study, transfer problems were classified into multiple categories: mathematical word problem based on rates, science word problem based on rates, and real-life problem based on rates with different analogy distance. Then analysed there are differences in participants' transfer ability and which mathematical knowledge contributes to the solution on over the three transfer problem. The study demonstrated a statistical significant difference(.05) in participants' three transfer problem solving and a gradual decrease of the participants' success rates of on transfer problems solving. Moreover, conceptual knowledge influenced transfer problem solving more than factual knowledge about rates. The study has an important implications in that it provided new direction for study about transfer of learning, and also show a good mathematics instruction on where teachers will put the focus in mathematical lesson to foster elementary students' transfer ability.

• Journal of architectural history
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• v.26 no.6
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• pp.19-28
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• 2017

In this paper, I have reviewed some of the Korean traditional architectural vocabularies that have to be reconsidered in terms of the problem of decode, the problem of meaning, the meaning of explain meaning, and the problem of form analysis. Especially, correct decode and interpretation of Uigwe's Korean ancient architecture borrowed character can correct old decode and interpretation. Furthermore, I confirmed that I could correct the Korean ancient architecture vocabulary that was expiscated wrongly. Especially borrowed characters corresponding to 머름[meoreum](paneling) have been known only far away 遠音[meoreum]. In addition, there were also 遠驗[meolheom] 亇乙軒[meolheon] 亇乙險[meolheom] 亇乙音[meoreom], and so on. Furthermore, in the process of decode these notations, it has become possible to assume that the original words of the modern language 머름[meoreum] also came from *멀험[meolheom]. On the other hand, there are many kinds of people like 付叱心[bussim] 夫叱心[bussim] 扶叱心[bussim] 富叱心[bussim] 富心[bussim]과 北叱心 [bussim] 北心[bussim]. You can also check the Korean ancient architecture vocabulary. However, corresponding words are difficult to find in modern Korean languages. However, in Jeju dialect, we can confirm the corresponding word. This word was used in the Joseon Dynasty, and confirmed that it is dead language today. As mentioned above, it is confirmed that there are many misconceptions about the decode and meaning of the architectural vocabulary made of borrowed character in existing architectural dictionaries, Korean dictionaries, and Korean ancient architecture related papers. Also, although the form is being confirmed, it has been confirmed that there are many things that need to be clarified, such as what the decode is, what the meaning is, and the origin I have also confirmed a number of things that need to be properly expomed in the original form, the original word. In the future, those who study Korean ancient architecture vocabulary and traditional architectural vocabulary should also be interested in these things and research it properly.

• Journal of Educational Research in Mathematics
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• v.17 no.2
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• pp.91-109
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• 2007

This study deals with the problem of transition from arithmetic to algebra and the relationship between elementary and secondary school mathematics for systems of linear equations. In elementary school, activity for solving word problems related to systems of linear equations in two variables falls broadly into using two strategies: Guess and check and making a table. In secondary school, those problems are solved algebraically, for example, by solving systems of equations using the technique of elimination. The analysis of mathematics textbooks shows that there is no link between strategies of elementary school mathematics and secondary school mathematics. We devised an alternative way to reinforce link between elementary and secondary school mathematics for systems of linear equations. Drawing a diagram can be introduced as a strategy solving word problems related to systems of linear equations in two variables in elementary school. Moreover it is closely related to the idea of the technique of elimination of secondary school mathematics. It may be a critical juncture of elementary-secondary school mathematics in the case of systems of linear equations in two variables.

• Knowledge Management Research
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• v.21 no.1
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• pp.117-136
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• 2020

In the studies for the recommender systems which solve the information overload problem of users, the use of transactional data has been continuously tried. Especially, because the firms can easily obtain transactional data along with the development of IoT technologies, transaction-based recommender systems are recently used in various areas. However, the use of transactional data has limitations that it is hard to reflect domain knowledge and they do not directly show user preferences for individual items. Therefore, in this study, we propose a method applying the word embedding in the transaction-based recommender system to reflect preference differences among users and domain knowledge. Our approach is based on SAR, which shows high performance in the recommender systems, and we improved its components by using FastText, one of the word embedding techniques. Experimental results show that the reflection of domain knowledge and preference difference has a significant effect on the performance of recommender systems. Therefore, we expect our study to contribute to the improvement of the transaction-based recommender systems and to suggest the expansion of data used in the recommender system.

• ETRI Journal
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• v.32 no.5
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• pp.740-749
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• 2010

In a machine translation system, word sense disambiguation has an essential role in the proper translation of words when the target word can be translated differently depending on the context. Previous research on sense identification has mostly focused on adjacent words as context information. Therefore, in the case of nominal compounds, sense tagging of unit nouns mainly depended on other nouns surrounding the target word. In this paper, we present a practical method for the sense tagging of Korean unit nouns in a nominal compound. To overcome the weakness of traditional methods regarding the data sparseness problem, the proposed method adopts complement-predicate relation knowledge that was constructed for machine translation systems. Our method is based on a sentential form recovery technique, which recognizes grammatical relationships between unit nouns. This technique makes use of the characteristics of Korean predicative nouns. To show that our method is effective on text in general domains, the experiments were performed on a test set randomly extracted from article titles in various newspaper sections.

• Journal of Korea Multimedia Society
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• v.13 no.11
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• pp.1586-1593
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• 2010

Vocabulary recognition error correction method has probabilistic pattern matting and dynamic pattern matting. In it's a sentences to based on key-word by semantic analysis. Therefore it has problem with key-word not semantic analysis for morphological changes shape. Recognition rate improve of vocabulary unrecognized reduced this paper is propose. In syllable restoration algorithm find out semantic of a phoneme recognized by a phoneme semantic analysis process. Using to sentences restoration that morphological analysis and morphological analysis. Find out error correction rate using phoneme likelihood and confidence for system parse. When vocabulary recognition perform error correction for error proved vocabulary. system performance comparison as a result of recognition improve represent 2.0% by method using error pattern learning and error pattern matting, vocabulary mean pattern base on method.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.35C no.11
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• pp.63-75
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• 1998

Since many co-articulation problems are occurring in continuous spoken Korean language, several researches use words as a basic recognition unit. Though the word unit can solve this problem, it requires much memory and has difficulty fitting an input speech in a word list. In this paper, we propose an hidden Markov model(HMM) based recognition model that is an interconnection network of word HMMs for a syntax of sentences. To match suitably the input sentence into the continuous word list in the network, we use a level building search algorithm. This system represents the large sentence set with a relatively small memory and also has good extensibility. The experimental result of an airplane reservation system shows that it is proper method for a practical recognition system.