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Product Development with Data Mining Techniques
Jinhwa Kim(김진화),Jae Kwon Bae(배재권),Lu Pei Yong(페이용) 한국경영과학회 2009 한국경영과학회 학술대회논문집 Vol.2009 No.10
Many enterprises have been devoting a significant portion of their budget to product development in order to distinguish their products from those of their competitors and to make them better fit the needs and wants of customers. Hence, businesses should develop product designing that could satisfy the customers’ requirements since this will increase the enterprise’s competitiveness and it is an essential criterion to earning higher loyalties and profits. This paper investigates the following research issues in the development of new digital camera products: (1) What exactly are the customers’ “needs” and “wants” for digital camera products? (2) What features is more importance than others? (3) Can product design and planning for product lines/product collection be integrated with the knowledge of customers? (4) How can the rules help us to make a strategy during we design new digital camera? To investigate these research issues, the Apriori and C4.5 algorithms are methodology of association rule and decision tree for data mining, which is implemented to mine customer’s needs. Knowledge extracted from data mining results is illustrated as knowledge patterns and rules on a product map in order to propose possible suggestions and solutions for product design and marketing.
A Knowledge Integration Model for Corporate Dividend Prediction
Jinhwa Kim,Chaehwan Won,Jae Kwon Bae 한국경영정보학회 2008 한국경영정보학회 학술대회논문집 Vol.2008 No.-
Dividend is one of essential factors determining the value of a firm. According to the valuation theory in finance, discounted cash flow (DCF) is the most popular and widely used method for the valuation of any asset. Since dividends play a key role in the pricing of a firm value by DCF, it is natural that the accurate prediction of future dividends should be most important work in the valuation. Although the dividend forecasting is of importance in the real world for the purpose of investment and financing decision, it is not easy for us to find good theoretical models which can predict future dividends accurately except Marsh and Merton (1987) model. Thus, if we can develop a better method than Marsh and Merton in the prediction of future dividends, it can contribute significantly to the enhancement of a firm value. Therefore, the most important goal of this study is to develop a better method than Marsh and Merton model by applying artificial intelligence techniques.
Kim, Dongheun,Heo, Jinhwa,Kim, Minjung,Lee, Young Wook,Han, Sang Woo Elsevier 2009 Chemical physics letters Vol.468 No.4
<P><B>Graphical abstract</B></P><P>Monodisperse octahedral gold nanocrystals with controllable size were prepared in aqueous environment.</P><ce:figure></ce:figure> <P><B>Abstract</B></P><P>Nanocrystalline gold octahedrons were synthesized in an aqueous environment via the reduction of HAuCl<SUB>4</SUB> by ascorbic acid with the addition of NaOH. Highly monodisperse octahedral particles with controlled sizes ranging from 20 to 40nm were prepared in high-yield by varying the reaction temperature. The structural and optical properties of the synthesized gold nanoparticles were characterized by scanning electron microscopy, transmission electron microscopy, X-ray diffraction, and UV–vis spectroscopy. The prepared nanoparticles exhibited efficient surface-enhanced Raman scattering (SERS) properties, and their SERS activities were highly size-dependent.</P>
An Empirical Data Driven Optimization Approach By Simulating Human Learning Processes
Kim, Jinhwa 한국경영과학회 2004 한국경영과학회지 Vol.29 No.4
This study suggests a data driven optimization approach, which simulates the models of human learning processes from cognitive sciences. It shows how the human learning processes can be simulated and applied to solving combinatorial optimization problems. The main advantage of using this method is in applying it into problems, which are very difficult to simulate, "Undecidable" problems are considered as best possible application areas for this suggested approach. The concept of an "undecidable" problem is redefined. The learning models in human learning and decision-making related to combinatorial optimization in cognitive and neural sciences are designed, simulated, and implemented to solve an optimization problem. We call this approach "SLO : simulated learning for optimization." Two different versions of SLO have been designed: SLO with position & link matrix, and SLO with decomposition algorithm. The methods are tested for traveling salespersons problems to show how these approaches derive new solution empirically. The tests show that simulated learning for optimization produces new solutions with better performance empirically. Its performance, compared to other hill-climbing type methods, is relatively good.
Real-space mapping of the strongly coupled plasmons of nanoparticle dimers.
Kim, Deok-Soo,Heo, Jinhwa,Ahn, Sung-Hyun,Han, Sang Woo,Yun, Wan Soo,Kim, Zee Hwan American Chemical Society 2009 NANO LETTERS Vol.9 No.10
<P>We carried out the near-field optical imaging of isolated and dimerized gold nanocubes to directly investigate the strong coupling between two adjacent nanoparticles. The high-resolution (approximately 10 nm) local field maps (intensities and phases) of self-assembled nanocube dimers reveal antisymmetric plasmon modes that are starkly different from a simple superposition of two monomeric dipole plasmons, which is fully reproduced by the electrodynamics simulations. The result decisively proves that, for the closely spaced pair of nanoparticles (interparticle distance/particle size approximately 0.04), the strong Coulombic attraction between the charges at the interparticle gap dominates over the intraparticle charge oscillations, resulting in a hybridized dimer plasmon mode that is qualitatively different from those expected from a simple dipole-dipole coupling model.</P>
Concise Synthesis of Dimemorfan (DF) Starting from 3-Hydroxymorphinan (3-HM)
Kim, Jong Yup,Kim, Hyoung-Chun,Kim, Jeongmin,Lee, Jinhwa The Pharmaceutical Society of Japan 2008 Chemical & pharmaceutical bulletin Vol.56 No.7
<P>Dimemorfan (DF) has been known to possess neuroprotective properties. While this promising compound deserves further biological evaluation, synthetic methods have not improved since Murakami group unveiled the synthetic efforts in 1972. Herein a succinct synthesis toward DF from commercially available 3-hydroxymorphinan (3-HM) is disclosed. Other morphinan analogs have been effectively prepared by adopting the similar methodology.</P>
김진화(Jinhwa Kim),변현수(Hyeonsu Byeon),임옥선(Oksun Im) 한국전자거래학회 2008 한국전자거래학회 심포지움 및 기타간행물 Vol.- No.-
본 연구는 웹사이트에 대한 사용자와 제공자의 인식의 차이를 확인하고 분석한 후 이를 데이터마이닝을 이용해 웹사이트의 개선을 위한 전략의 도출을 제시하고자 한다. 이 연구에서는 웹사이트 사용자와 제공자간의 인식차이 분석을 위하여 기존 문헌 연구를 통해서 웹사이트 개선을 위한 웹사이트의 평가 요인과 항목을 중심으로 인터넷 서점 사이트를 연구대상으로 한 설문지를 재구성하였다. 그 다음 동일한 문항으로 사용자와 제공자에게 각각 설문 조사를 실시하여 데이터를 수집하였다. 수집된 사용자와 제공자 각각의 응답을 통계분석을 통해 비교하고 그 차이를 확인한 후 조하리 창(Johari Window)을 바탕으로 인식차이에 대한 분석을 하였다. 웹사이트의 개선을 위한 전략을 도출하기 위해서 사용자와 제공자간 인식차이가 상이하게 나타난 설문 항목에 대해 데이터마이닝을 이용하여 응답 데이터에서 규칙을 도출해내고 이를 기반으로 웹사이트 사용자와 제공자간 인식차이 분석을 통한 웹사이트 개선전략을 제시하였다.