• The Transactions of the Korean Institute of Electrical Engineers
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• v.41 no.8
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• pp.831-840
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• 1992

This paper presents an efficient short-term generation scheduling method using a rule-based expert/consulting system approach to assist electric energy system operators and planners. The expert system approach is applied to improve the Dynamic Programming(DP) based generation scheduling algorithm. In the selection procedure of the feasible combinations of generating units at each stage, automatic consulting on the manipulation of several constraints such as the minimum up time, the minimum down time and the maximum running time constraints of generating units will be performed by the expert/consulting system. In order to maximize the solution feasibility, the aforementioned constraints are controlled by a rule-based expert system, that is, instead of imposing penalty cost to those constraint violated combinations, which sometimes may become the very reason of no existing solution, several constraints will be manipulated within their flexibilities using the rules and facts that are established by domain experts. In this paper, for the purpose of implementing the consulting of several constraints during the dynamic process of generation scheduling, an expert system named STGSCS is developed. As a building tool of the expert system, C Language Integrated Production System(CLIPS) is used. The effectiveness of the proposed algorithm has been demonstrated by applying it to a model electric energy system.

• Journal of Sport and Applied Science
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• v.8 no.2
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• pp.1-12
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• 2024

Purpose: The purpose of this study is to understand fans' perception of the MLS. Particularly, this study investigates both the avid fan's perception of the MLS as well as the same perception in a potentially larger audience. This study aims at (1) segmenting the findings into three groups, (2) understanding the characteristics of these groups from the sport marketing prospective and (3) comparing the three groups to see whether there are any similarities and differences. Research design, data, and methodology: Using motivational factors alongside the 4P's of marketing, these three segments were analyzed and their similarities and differences were compared. An online survey was created and distributed through different MLS databases. Results: Prior to the distribution, a few hypotheses were made regarding the motivational factors of fans; specifically, that the quality of play has led to a lack of interest in the league and that the presence of star athletes has the potential to bring in more fans for the league. The quality of play and star athletes are important and thus a bigger emphasis needs to be placed on the designated player rule. At the same time, more television coverage as well as more exhibition games with international teams can generate more buzz for the league and garner more fans. Conclusions: This study explored motivational factors which support fanship of Major League Soccer. Further implications were discussed.

• The Journal of the Acoustical Society of Korea
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• v.18 no.5
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• pp.21-27
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• 1999

In this paper, we propose an improved MLP-based English pronunciation dictionary generator to apply to the variable vocabulary word recognizer. The variable vocabulary word recognizer can process any words specified in Korean word lexicon dynamically determined according to the current recognition task. To extend the ability of the system to task for English words, it is necessary to build a pronunciation dictionary generator to be able to process words not included in a predefined lexicon, such as proper nouns. In order to build the English pronunciation dictionary generator, we use context-dependent grapheme-to-phoneme multi-layer perceptron(MLP) architecture for each grapheme. To train each MLP, it is necessary to obtain grapheme-to-phoneme training data from general pronunciation dictionary. To automate the process, we use dynamic programming(DP) algorithm with some distance metrics. For training and testing the grapheme-to-phoneme MLPs, we use general English pronunciation dictionary with about 110 thousand words. With 26 MLPs each having 30 to 50 hidden nodes and the exception grapheme lexicon, we obtained the word accuracy of 72.8% for the 110 thousand words superior to rule-based method showing the word accuracy of 24.0%.

• English Language & Literature Teaching
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• no.6
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• pp.143-157
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• 2000

It has been one of the puzzles in the English syntax that so called the rule of subject-auxiliary inversion (SAI) is not allowed in subject wh-movement while it is not obligatory in non-subject wh-movement in a root sentence. This asymmetry has been a puzzle since SAI itself was thought to be a part of question construction as we can observe from yes/no questions. The asymmetry gets more complicated in terms of sentence embedding, i.e no SAI is permitted in the embedded context in question. The goal of this paper is to suggest an unified analysis for this unsolved grammatical phenomena on the basis of Rizzi (1997)'s recent work. The main idea is that SAI is not a I-to-C movement but one of I-to-Focus where Focus is a functional category and its phrase is located between CP and IP. The other proposal is that Wh-movement is no more homogeneous in terms of landing site between a root and an embedded sentence: the target for a wh-phrase in the former is the Spec of FocP (Focus Phrase) but the one in the latter is the Spec of CP as the standard theory assumes. Pesetsky (l999)'s analysis is discussed and its theoretical and empirical shortages are pointed out. Its rather radical proposals such as the one that the nominative case is just an uninterpretable tense feature of DP and the other that 'that' is no longer a complementizer but an element of I(nflection) make it less acceptable in spite of the possibility that it can get rid of Case theory entirely, which would be ideal in the spirit of minimalism.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.378-382
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• 2001

The purpose of this study was to develop an expert system supporting the diagnosis of diffuse interstitial lung disease by high resolution computed tomography. CLIPS(C language integrated production system) with rule-based reasoning was used to develop the system. Development of expert system had three stages knowledge acquisition, knowledge representation, and reasoning. Knowledge was obtained and integrated, from tables and figure legends of a representative textbook in the domain of this expert system, High-Resolution CT of the Lung, by Webb WR, Mueller NL, and Naidich DP. The acquired knowledge was analyzed to form a knowledge base. Overlapping knowledge was eliminated, similar pieces of knowledge were combined and professional terms were defined. The most important knowledge of findings was then selected for each disease. After groupings of combined findings were made, disease groups were analyzed sequentially to determine final diagnoses. The system was based upon the input of 69 diseases, 185 findings, 73 conditions, 387 status, and 62 rules. The system was set up to determine the diagnoses of diseases from the combination of findings using forward reasoning. In an empirical trial, the system was applied to support the diagnosis of 40 cases of diffuse interstitial lung diseases. The performance of two doctors with support of the system was compared to that of another two doctors without support of the system. The two doctors with the support of the system made more accurate diagnoses than the doctors without the support of the system. The system is believed to be useful for the diagnosis of rare diseases and for cases with many possible differential diagnoses. In conclusion, an expert system supporting the high resolution computed tomographic diagnosis of diffuse interstitial lung disease was developed and the system is thought to be useful for medical practice.