• Journal of the Korean Statistical Society
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• v.31 no.3
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• pp.277-299
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• 2002

Most statistical designs, such as orthogonal designs and optimal designs, are based on a specific statistical model. It is very often that the experimenter does not completely know the underlying model between the response and the factors. In computer experiments, the underlying model is known, but too complicated. In this case we can treat the model as a black box, or model to be unknown. Both cases need a space filling design. The uniform design is one of space filling designs and seeks experimental points to be uniformly scattered on the domain. The uniform design can be used for computer experiments and also for industrial experiments when the underlying model is unknown. In this paper we shall introduce the theory and method of the uniform design and related data analysis and modelling methods. Applications of the uniform design to industry and other areas are discussed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.8 no.11
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• pp.69-77
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• 1985

The queue theory is based on the assumption that most system are normally assigned to stay under steady state. Therefore, the initial problem can be represented by a symbolic model but such a representation does not permit analysis of all the interesting alternatives. When the solution to the problem is thus restricted to a particular subclass of available alternatives, the symbolic model can be solved by mathematics to deduce which alternative is optimal. However, when be consider slightly more complicated alternatives, the analytic procedures become interactable. The purpose of this study is to show how a simulation model enable us to handle the more complicated system after examining the characteristics of the complications that negate more complicated system. Then construct a simulation model and compare the solution of simulation models with analytic methods.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1059-1062
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• 2021

투자에 대한 관심 증가에 따라 적은 비용과 시간으로 객관적인 정보 제공의 필요성 증가와 함께 인공지능 기술을 활용한 로보어드바이저 서비스가 확대되었다. 또한, 최근 ETF 를 통한 안정적인 투자에 대한 선호도가 증가함에 따라 ETF 중심의 AI 로보어드바이저 추천 서비스가 필요할 것으로 보인다. 하지만, 기존의 투자 어플리케이션에서는 뉴스 기반의 감성적인 요인이 반영되지 않은 추천 방식으로 주가에 영향을 미치는 다양한 요인들을 고려하지 못하는 문제점이 있다. 이에 본 연구에서는 뉴스의 감성분석을 통한 감성지수를 기반으로 새로운 주가 예측 모델을 제안하고, 사용자의 투자 성향 분석을 통한 맞춤 추천 서비스를 통해 개인화된 ETF 서비스를 제공한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.943-945
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• 2022

2030 세대의 주식시장 참여율은 갈수록 늘어나는 데에 반해 증권업의 높은 진입 장벽과 부족한 정보로 손실을 보는 경우가 적지 않다. 이러한 상황에서 정보의 주체인 개인이 본인 데이터에 대한 권리를 가지고, 본인이 원하는 방식으로 데이터를 관리하는 패러다임인 '마이데이터' 서비스가 최근 떠오르고 있다. 본 논문에서는 위의 문제를 해결하기 위하여 마이데이터를 토대로 특정 주식 종목과 유사한 종목들을 먼저 선별한 후 순수익이 높게 예측되는 종목을 최종 추천하는 모델을 제안한다.

• Communications of Mathematical Education
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• v.31 no.3
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• pp.241-255
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• 2017

The 4th industrial revolution is coming. In order to prepare for the new learning environment with it, we may need digital mathematics textbooks that fully utilize all possible technologies. So various attempts have been made in elementary and middle school mathematics education. However, despite the importance of higher mathematics, we haven't seen a best possible math digital textbooks yet in Korea. In this paper, we introduce our new model of interactive math digital textbook about Linear Algebra/ Calculus/ Differential Equations/ Statistics/ Engineering Math. Especially, this manuscript focuses on our experience of using digital contents and interactive labs for developing a new model for linear algebra digital textbook. We introduce our works on linear algebra digital textbooks which include pdf e-book, web contents, video clips of lectures, interactive lab. Using this linear algebra digital textbook, students can freely use any mobile devices to access diverse learning materials, lessons, and hands-on exercises without any limitations. Also, times saved in the computation, coding, and typing process can be used to have more discussions for deeper understanding of mathematical concepts. This type of linear algebra digital textbook, which contains all interactive free cyber-lab with codes and all lectures for each sections, can be considered as a new model for the next generation of math digital textbook.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.435-441
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• 2023

From the mid-to-late 2010s, technology was frequently mentioned in the definition of digital transformation. In the early stages, the private sector started actively using it, and the public sector started to take it seriously. Divided into "providing value and cultural change, the main goals of digital transformation were accomplished, and the ideas of creating new values in social and industrial systems and applying digital technology appeared to be related. Digital transformation, defined as the idea of combining digital solutions to boost competitiveness and add value, necessitates social innovation and cultural shifts at the national level. In order to encourage the digital transformation of the industry, the Industrial Digital Transformation Promotion Act was passed in December 2021. This set the groundwork for a comprehensive and organized approach to facilitating the use of industrial information. We will examine the nature and extent of digital transformation in this study, as well as discover the organizations and regulations that support it. We also want to examine the essential standards and technologies needed to put the digital transformation plan into practice. Lastly, We'll make some conclusions about how this will affect public services' digital transformation.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.10 no.1
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• pp.107-119
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• 2006

Recently with developments of an internet and web techniques, the amount of data that are stored in database is increasing rapidly. So the range of adaption in database has been expanded and a research of Data Mining techniques finding useful skills from the huge database has been progressed. Many original algorithms have been developed by cutting down the item set and the size of database isn't required in the entire course of creating frequent item sets. Although those skills could save time in some course, it requires too much time for adapting those techniques in other courses. In this paper, an algorithm is proposed. In an Transaction Database that the length of it's transactions are short or the number of items are relatively small, this algorithm scans a database once by using a Hashing Technique and at the same time, stores all parts of the set, can be appeared at each transaction, in an Hash-table. So without an influence of n minimum percentage of support, it can discover a set of frequent items in more shorter time than the time what is used by an original algorithm.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.1-6
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• 2021

The purpose of this study is to find a way to increase the examination rate by presenting the current state of national health examination. To this end, demographic factors(Gender, age, income level, education level) and health factors(Smoking, alcohol, obesity, subjective health status) were selected, and whether the selected factors were different for each group, and the examinees according to the number of hospitals and income level were visualized. As a result, except for subjective health status in health factors, population factors, and number of hospitals were all related to the examination. In addition, among the age factors of the demographic factor, those in their twenties and those with a low income level and those who were underweight among the health factors of obesity had a high rate of non-testing. Therefore, it is considered necessary to promote, support, and educate those untested by these groups.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.26 no.4
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• pp.185-223
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• 2022

The classical equation of Jonathan Homer Lane and Robert Emden, a nonlinear second-order ordinary differential equation, models the isothermal spherical clouded gases under the influence of the mutual attractive interaction between the gases' molecules. In this paper, the Adomian decomposition method (ADM) is presented to obtain highly accurate and reliable analytical solutions of a class of generalised Lane-Emden equations with strong nonlinearities. The nonlinear term f(y(x)) of the proposed problem is given by the integer powers of a continuous real-valued function h(y(x)), that is, f(y(x)) = h^m(y(x)), for integer m ≥ 0, real x > 0. In the end, numerical comparisons are presented between the analytical results obtained using the ADM and numerical solutions using the eighth-order nested second derivative two-step Runge-Kutta method (NSDTSRKM) to illustrate the reliability, accuracy, effectiveness and convenience of the proposed methods. The special cases h(y) = sin y(x), cos y(x); h(y) = sinh y(x), cosh y(x) are considered explicitly using both methods. Interestingly, in each of these methods, a unified result is presented for an integer power of any continuous real-valued function - compared with the case by case computations for the nonlinear functions f(y). The results presented in this paper are a generalisation of several published results. Several examples are given to illustrate the proposed methods. Tables of expansion coefficients of the series solutions of some special Lane-Emden type equations are presented. Comparisons of the two results indicate that both methods are reliably and accurately efficient in solving a class of singular strongly nonlinear ordinary differential equations.

• Journal of the Korean Institute of Intelligent Systems
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• v.27 no.2
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• pp.132-137
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• 2017

Drone is currently used for wide application areas in our real life. Also it performs more important functions. We propose a method of drone operation system for the prevention of industrial disaster. In normal operation of drone system the drone monitors the industrial sites according to the planned flight path with acquiring the monitored images and send the image information to the server. The server analyzes and compares the images to DB information by calculating the similarity based on the threshold. Then the system decides whether the industrial sites has problems or not. If the abnormal condition is occurred, the drone change the flight path to abnormal flight path and keep monitoring the industrial sites with measuring the air status by sensors and sends all information to server system on the ground. If the emergency case is occurred, drone approaches the closest position of accident points and acquiring the all information and send them to server and 119 center.