• Proceedings of the Korean Institute of Building Construction Conference
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• 한국건축시공학회 2015년도 춘계 학술논문 발표대회
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• pp.234-235
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• 2015

In South Korea, small photovoltaic equipment is increasingly adopted in more detached houses on the constant basis. With this broader use of small photovoltaic equipment, its systematic maintenance becomes all the more necessary. However, photovoltaic facility maintenance has been concentrated solely on large-scale solar energy generation plants in the country while hardly covering smaller facilities. In this research, the JEM rule and extant maintenance company services were analyzed to develop a proper maintenance model for small photovoltaic equipment. The maintenance service procedures designed herein are as follows: A small photovoltaic equipment user chooses a maintenance company and signs a contract. Once a contract is made, the Korea Energy Management Corporation provides a certain kind of incentive to the company. The company provides maintenance service to the user and receives a service fee. If such a maintenance service model is in place, small photovoltaic equipment efficiency is expected to increase and users could receive systematic maintenance services. Also the new creation of small photovoltaic equipment maintenance service would form a new market to generate more jobs for the society.

• Journal of the Korea Society of Computer and Information
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• 제19권2호
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• pp.151-159
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• 2014

We discuss the implementation of a compiler for an imperative programming language, using monad in Haskell. This compiler involves a recursive-descent parser conducting nondeterministic parsing, in which backtracking occurs to try with other rules when the application of a production rule fails to parse an input string. Haskell has some strong facilities for parsing. Its algebraic types represent abstract syntax trees in a smooth way, and program codes by monad parsing are so concise that they are highly readable and code size is reduced significantly, comparing with other languages. We also deal with the runtime environment of the assembler and code generation whose target is the Stack-Assembly language based on a stack machine.

• Journal of the Korean Institute of Telematics and Electronics C
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• 제35C권10호
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• pp.59-68
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• 1998

The goal of data mining is to develop the automatic and intelligent tools and technologies that can find useful knowledge from databases. To meet this goal, we propose an efficient data mining algorithm based on the fuzzy decision tree. The proposed method combines comprehensibility of decision tree such as ID3 and C4.5 and representation power of fuzzy set theory. So, it can generate simple and comprehensive rules describing data. The proposed algorithm consists of two stages: the first stage generates the fuzzy membership functions using histogram analysis, and the second stage constructs a fuzzy decision tree using the fuzzy membership functions. From the testing of the proposed algorithm on the IRIS data and the Wisconsin Breast Cancer data, we found that the proposed method can generate a set of fuzzy rules from data efficiently.

• The Transactions of the Korean Institute of Electrical Engineers D
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• 제50권9호
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• pp.430-438
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• 2001

In this study, we introduce the adaptive Polynomial Neuro-Fuzzy Networks(PNFN) architecture generated from the fusion of fuzzy inference system and PNN algorithm. The PNFN dwells on the ideas of fuzzy rule-based computing and neural networks. Fuzzy inference system is applied in the 1st layer of PNFN and PNN algorithm is employed in the 2nd layer or higher. From these the multilayer structure of the PNFN is constructed. In order words, in the Fuzzy Inference System(FIS) used in the nodes of the 1st layer of PNFN, either the simplified or regression polynomial inference method is utilized. And as the premise part of the rules, both triangular and Gaussian like membership function are studied. In the 2nd layer or higher, PNN based on GMDH and regression polynomial is generated in a dynamic way, unlike in the case of the popular multilayer perceptron structure. That is, the PNN is an analytic technique for identifying nonlinear relationships between system's inputs and outputs and is a flexible network structure constructed through the successive generation of layers from nodes represented in partial descriptions of I/O relatio of data. The experiment part of the study involves representative time series such as Box-Jenkins gas furnace data used across various neurofuzzy systems and a comparative analysis is included as well.

• Journal of the Korea Institute of Information and Communication Engineering
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• 제3권1호
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• pp.105-111
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• 1999

This Paper is about how to deside the best parameter of PID controller, using Genetic Algorithms and Neural Networks. Control by Genetic Algorithms, which is off-line pass, has weakness for disturbance. So we want to improve like followings by adding Neural Network to controller and putting it on line. First we find PID parameter by Genetic Algorithms in forward pass of Neural Network and set the best output condition according to the increasing number of generation. Second, we explain the adaptability for disturbance with simulation by correcting parameter by backpropagation learning rule by using the learning ability of Neural Network.

• The Transactions of the Korea Information Processing Society
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• 제5권3호
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• pp.833-841
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• 1998

The ann of this study is 10 propose all eff'tcient mclhod for partition of multi-dimensIOnal feature space into pattern subspace for automated generation of fuzzy rule. The suggested mclhod predicates on sequential subdivision of the fuzzy subspacc. and the size of construc1cd pattern space is variable. Under this procedure, n-dimensional pattern space, after considering the distributional characteristic patterns, is partitioned into two different pattern subspaces. From the two subspaces, the pattern space for further subdivision is chosen; then, this subdivision procedure recursively repeats itself until the stopping condition is fulfilled. The result of this study is applied to 2, 4, 7 band of satellite Landsat TM and satisfac10ry result is acquired.

• The Transactions of the Korea Information Processing Society
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• 제6권9호
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• pp.2431-2441
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• 1999

Equations are widely used in representing information. One of the basic questions about equations is to determine whether a given equation follows logically from the set of equations. Rewrite systems are one of the method to answer many instances of this problem. A rewrite system simplifies a given term by applying rewrite rules successively. Hence it is important that the process of simplification does not go on indefinitely. One of the methods to check whether a rewrite system terminates (that is, the rewrite system does not go on indefinitely) is polynomial orderings. A polynomial ordering assigns an appropriate polynomial to each function symbol. However, how to assign polynomials to function symbols is not known. We propose an automatic way of generating polynomial orderings using genetic algorithms.

• Korean Institute of Interior Design Journal
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• 제26권1호
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• pp.142-152
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• 2017

This study investigated Renaissance and Baroque architectural characteristics found in contemporary public buildings in Seoul, which are National Museum of Modern and Contemporary Art Seoul Branch(MMCA) and Dongdaemun Design Plaza(DDP). Among H. $W{\ddot{o}}lfflin^{\prime}s$ five categories for Renaissance-Baroque art study, four categories (Clearness/Unclearness, Plane/Recession, Closed form/Open form, Multiplicity/Unity) are applied for the analysis as the architectural issues of Transparency/Concealment, Exhibited/Experienced Depth, Formal/Figural, and Composed harmony/Generated Unity. As a result, MMCA showed the characteristics of the extreme of Modern classic such as transparency, homogenization of space, formalism, and composition of multiple elements. Meanwhile, the study could find various Baroque characteristics from DDP such as separation of indoor and outdoor, phenomenological depth, rule breaking, and generation of figure. The study finally argued that DDP would not be an anti-modern, but try to inherit and overcome the modern architecture to explore different possibilities, and that the similar relationship between Renaissance and Baroque art could be found in these two cases.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국해양정보통신학회 2009년도 춘계학술대회
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• pp.576-579
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• 2009

The amount of incoming e-mails is increasing rapidly due to the wide usage of Internet. Therefore, it is more required to classify incoming e-mails efficiently and accurately. Currently, the e-mail classification techniques are focused on two way classification to filter spam mails from normal ones based mainly on Bayesian and Rule. The clustering method has been used for the multi-way classification of e-mails. But it has a disadvantage of low accuracy of classification. In this paper, we propose a novel multi-way e-mail classification method that uses PCA for automatic category generation and dynamic category hierarchy for high accuracy of classification. It classifies a huge amount of incoming e-mails automatically, efficiently, and accurately.

• Journal of Smart Tourism
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• 제1권1호
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• pp.53-64
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• 2021

Upselling is often a critical factor in revenue generation for businesses in the tourism and travel industry. Utilizing passenger data from a major international airline company, we develop the PAX (Passenger, Airline, eXternal) model to predict passengers that are most likely to accept an upgrade offer from economy to premium. Formulating the problem as an extremely unbalanced, cost-sensitive, supervised binary classification, we predict if a customer will take an upgrade offer. We use a feature vector created from the historical data of 3 million passenger records from 2017 to 2019, in which passengers received approximately 635,000 upgrade offers worth more than $422,000,000 U.S. dollars. The model has an F1-score of 0.75, outperforming the airline's current rule-based approach. Findings have several practical applications, including identifying promising customers for upselling and minimizing the number of indiscriminate emails sent to customers. Accurately identifying the few customers who will react positively to upgrade offers is of paramount importance given the airline 'industry's razor-thin margins. Research results have significant real-world impacts because there is the potential to improve targeted upselling to customers in the airline and related industries.