• Journal of IKEEE
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• v.17 no.3
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• pp.332-338
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• 2013

BPEL is a standard executable language for specifying actions within business processes with Web services. BPEL workflow requires rule engine to describe application process in BPEL, as the requirements increase. It is needed to develop new BPEL's engine or modify BPEL's engine in order to add the functionality of rules to BPEL engines, but this method is not easy to implement and it requires very high cost. In this paper, we present an R4BPEL document, which uses the original BPEL grammar and includes a rule document. With this method, it is possible to build rule-based BPEL environment easily by adding web services with rules and R4BPEL document analyzer to the general-purpose Web services. In this paper, we campared a BPEL's document in proposed system with a BPEL's document in the existing system. And we demonstrated the simplicity of the rule-based system.

• The Journal of the Acoustical Society of Korea
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• v.13 no.1
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• pp.24-31
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• 1994

In this paper, we report on the development of a speaker independent continuous speech recognition system using continuous hidden Markov models. The continuous hidden Markov model consists of mean and covariance matrices and directly models speech signal parameters, therefore does not have quantization error. Filter bank coefficients with their 1st and 2nd-order derivatives are used as feature vectors to represent the dynamic features of speech signal. We use the segmental K-means algorithm as a training algorithm and triphone as a recognition unit to alleviate performance degradation due to coarticulation problems critical in continuous speech recognition. Also, we use the one-pass search algorithm that Is advantageous in speeding-up the recognition time. Experimental results show that the system attains the recognition accuracy of $83\%$ without grammar and $94\%$ with finite state networks in speaker-indepdent speech recognition.

• Journal of The Korean Association of Information Education
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• v.12 no.1
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• pp.77-88
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• 2008

A programming education has favorable influence on creative / logical thinking and problem solving ability of students. However, students typically have to spend too much effort in learning basic grammar and the usage model of programming languages, which negatively affect their eagerness in learning. In this respect, we proposed to apply the 'Scratch' using the Creative Problem Solving(CPS) Teaching Model; Scratch is an easy-to-learn and intuitive Educational Programming Language(EPL) that helps improving the problem solving ability of the class. Then we verified the effect of Scratch EPL through the design of both pretest and posttest for a subject group. In summary, the CPS based Scratch EPL was shown to significantly improve the problem solving ability and also help them develop favorable attitude in programming.

• Science of Emotion and Sensibility
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• v.10 no.3
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• pp.443-450
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• 2007

Design is a realm one should have brought out creativity. So designers have continuously struggled for creating something new. In respects of that the essence of design work is making novel and creative things, and in design process' creative idea generation' to reach a final design solution is one of important capability that designers must have. In this study two different substantial methods for creative idea generation are suggested. One is existing' analogical association', an essential form widely used in association process, another is 'shape elements reconstruction' similarly operated 'shape grammar'. Therefore in this study for finding methods to reinforce designers' creative idea generation both of paper-based and computer-based design method are suggested substantially. In Both there is a common feature that existing or quiet new elements are organizationally associated or reconstructed in idea generation procedure.

• Archives of design research
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• v.11 no.1
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• pp.259-268
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• 1998

Ideals of beauty has expressed variously through the centuries and in different cultures. Each traditional 'togu' has it's own morphology (in the meaning of nonverval linguistic) as using various type of language in each cultural erea. Korean aesthetics on 'dogu'philosophy introduces a whole new set of basic concepts outside western aesthetic framework of beauty Most distinctive is the insistence on overcoming dichotomies, especially between cognition and emotion, (momism)body and mind, self and other, and individual and group. Several topics are particularly illuminating within aesthetics: furniture, calligraphy, traditional garments pose interesting challenging to the art/nature, inside/outside, ethics/desire dichotomies so crucial to moral and cultural context. aesthetics are equally deserving of philosophical scrutiny: the ways in which philosophy of 'dogu'and aesthetics are integrated with daily life, the emphasis on process or understanding context rather than product itself or product 'form'. Dogu did not separate daily life and aesthetics from understanding social context. Language of 'togu' also has own vocabulary and grammar. But we often cannot gain our persnol experience truthful beauty of togu until understand context of understanding. it would be immpossible to explain ,or to analize different way of thinkings and behaivor precisly without understanding same codes of language.

• Journal of the Korea Society of Computer and Information
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• v.17 no.3
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• pp.11-25
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• 2012

We present the method to infer Context-Free Grammars by applying genetic algorithm to the Binary Third-order Recurrent Neural Networks(BTRNN). BTRNN is a multiple-layered architecture of recurrent neural networks, each of which is corresponding to an input symbol, and is combined with external stack. All parameters of BTRNN are represented as binary numbers and each state transition is performed with any stack operation simultaneously. We apply Genetic Algorithm to BTRNN chromosomes and obtain the optimal BTRNN inferring context-free grammar of positive and negative input patterns. This proposed method infers BTRNN, which includes the number of its states equal to or less than those of existing methods of Discrete Recurrent Neural Networks, with less examples and less learning trials. Also BTRNN is superior to the recent method of chromosomes representing grammars at recognition time complexity because of performing deterministic state transitions and stack operations at parsing process. If the number of non-terminals is p, the number of terminals q, the length of an input string k, and the max number of BTRNN states m, the parallel processing time is O(k) and the sequential processing time is O(km).

• Journal of KIISE
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• v.43 no.4
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• pp.489-496
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• 2016

XML can effectively express structured or semi-structured data as well as relational databases. XQuery is a query language for retrieving information for such an XML document. In this paper, an XQuery composer is designed and implemented, with an API provided for XQuery processors, and a proper processor is registered. This composer shows query results immediately processed by the processor. As this composer contains a parser for XQuery, it can compose XQuery effectively using a diverse dialog box designed for XQuery grammar. A dialog box is affiliated with a clause region, which is a region that algebra operates from the parsing tree. It can compose path expressions for an XML document easily as it shows an element tree from DTD graphically. Path expressions are composed automatically by marking elements in the structural hierarchy and by specifying the predicate of an element partially.

• Journal of KIISE
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• v.43 no.9
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• pp.1008-1014
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• 2016

Data such as Twitter, Facebook, and customer reviews belong to the informal document group, whereas, newspapers that have grammar correction step belong to the formal document group. Finding consistent rules or patterns in informal documents is difficult, as compared to formal documents. Hence, there is a need for additional approaches to improve informal document analysis. In this study, we classified Twitter data, a representative informal document, into ten categories. To improve performance, we revised and expanded features based on LDA(Latent Dirichlet allocation) word distribution. Using LDA top-ranked words, the other words were separated or bundled, and the feature set was thus expanded repeatedly. Finally, we conducted document classification with the expanded features. Experimental results indicated that the proposed method improved the micro-averaged F1-score of 7.11%p, as compared to the results before the feature expansion step.

• Journal of the Korea Society of Computer and Information
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• v.11 no.2 s.40
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• pp.319-327
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• 2006

Higher grade elementary school students who have superior cognitive abilities need education of basic principles of computer or programming rather than computer in education. In this study, all the errors occurring while elementary school students wrote and executed programs were collected. in the method of predicting and dealing with possible-to-occur problems on programming education of the higher grades (4th, 5th and 6th grades) during their optional special activities or during talent aptitude activities after school, classified by type and analyzed. If the errors analyzed are put to practical use, optimal programming curriculums could be written and such curriculums could be a great contribution to induction of learning effect and interest on teaching learning. It was found by analyzing the errors collected for this study that the most of elementary school students during programming felt difficulties in simple errors by poor use of software and in simple coding by poor use of reserved words in English. In the next, students occurred errors by difficulties in understanding grammar. It was exposed that these error types were the opposite phenomena to those analyzed by commercial software developing companies, however, it is predicted that if teaching learning is setting improved, the same phenomena could be found desirably.

• Journal of The Korean Association of Information Education
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• v.22 no.5
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• pp.575-583
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• 2018

This study approached EPL learning with deductive teaching and learning methods and inductive teaching and learning methods which are grammar teaching and learning methods. In the entry site, lectures provided for elementary school students in grades 5 to 6 were set as deductive learning courses. Based on this, inductive learning process was developed and each learning process was composed of 12 periods. After conducting the research, EPL utilization evaluation, learning satisfaction and immersion test were conducted between the two groups. It was difficult to obtain statistically meaningful results between the two groups. However, in the three tests, the mean value of groups using inductive teaching and learning methods was high. If we construct a long-term learning process and conduct research, we think that statistically meaningful results are produced between the two groups.