• Journal of the Korea Society of Computer and Information
• /
• v.16 no.11
• /
• pp.233-244
• /
• 2011

Online analytical processing (OLAP) architecture performs only well on the facts that are summarizable along each dimension, where all hierarchy schemas are distributive, and consequently many kinds of non-distributive hierarchy schemas arising in real-world situations are not addressed by current OLAP implementations. In previous work, we presented the classification of hierarchy schemas in aggregation, including one distributive and seven non-distributive hierarchy schemas. This paper presents a transforming approach of seven non-distributive hierarchy schemas into the distributive hierarchy schema. The first thing in the approach is cutting complex non-distributive hierarchy schemas into more simpler ones, and the next is the transformation of those simpler ones into the distributive hierarchy schema. This approach will let complex hierarchy schemas arising in real world situations be addressed by current OLAP implementations. It is thought that this approach will be useful one from an implementation and schema design point of view.

• Journal of the military operations research society of Korea
• /
• v.18 no.1
• /
• pp.47-60
• /
• 1992

A class of allocation problems can be modeled in a linear programming formulation. But in reality, the coefficient of both the cost and constraint equations can not be generally determined by crisp numbers due to the imprecision or fuzziness in the related parameters. To account for this. a fuzzy version is considered and solved by transforming to a conventional non-linear programming model. This gives a solution as well as the degree that the solution satisfies the objective and constraints simultaneously and hence will be very useful to a decision maker. An attacker assignment problem for multiple fired targets has been modeled by a linear programming formulation by Lemus and David. in which the objective is to minimize the cost that might occur on attacker's losses during the mission. A fuzzy version of the model is formulated and solved by transforming it to a conventional nonlinear programming formulation following the Tanaka's approach. It is also expected that the fuzzy approach will have wide applicability in general allocation problems

• Journal of the Ergonomics Society of Korea
• /
• v.12 no.2
• /
• pp.29-43
• /
• 1993

This paper presents a conceptual approach to convert customer requirements expressed in ordinary language into a form of qualitative and quantitative functions for developing new products. This approach attempts to combine the concepts of the value engineering and the Kansei engineering. It emphasizes that customer require- ments should be interpreted and reflected on the design of new product. Specific are discussed for extracting subjective requirements and transforming them into qualitative and quantitative functions for product design. This approach is expected to provide the product designer with a systematic efficient tool for incorporating subjective requirements into a product design.

• Communications for Statistical Applications and Methods
• /
• v.23 no.3
• /
• pp.259-268
• /
• 2016

High-dimensional survival data with large numbers of predictors has become more common. The analysis of such data can be facilitated if the dimensions of predictors are adequately reduced. Recent studies show that a method called sliced inverse regression (SIR) is an effective dimension reduction tool in high-dimensional survival regression. However, it faces incapability in implementation due to a double categorization procedure. This problem can be overcome in the right-censoring type by transforming the observed survival time and censoring status into a single variable. This provides more flexibility in the categorization, so the applicability of SIR can be enhanced. Numerical studies show that the proposed transforming approach is equally good to (or even better) than the usual SIR application in both balanced and highly-unbalanced censoring status. The real data example also confirms its practical usefulness, so the proposed approach should be an effective and valuable addition to usual statistical practitioners.

• Water Engineering Research
• /
• v.5 no.4
• /
• pp.177-183
• /
• 2004

This paper introduces an eigenvalue method of transforming the hyperbolic partial differential equations of a particular unsteady friction water hammer model into characteristic form. This method is based on the solution of the corresponding one-dimensional Riemann problem that transforms hyperbolic quasi-linear equations into ordinary differential equations along the characteristic directions, which in this case arises as the eigenvalues of the system. A mathematical justification and generalization of the eigenvalues method is provided and this approach is compared to the traditional characteristic method.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 1990.04a
• /
• pp.61-70
• /
• 1990

The information revolution is sweeping through the global economy. The strategic significance of the information and information technology have been some what underestimated. Now they are transforming the structure of competition. Information technology must be applied to improve and sustain an organization's competitive advantage. The successful implementation of information technology is dependent on the effectiveness of information systems planning. However, the selection of the right methodology still remains a open question. This paper describes the existing methodologies for information system planning. A complementary approach to strategic information systems planning, which was developed for a steel company, is suggested. The approach attempts to combine Business Systems Planning of IBM and Critical Success Factors Analysis for effective information systems planning. Although this approach is in the experimental stage it looks to be of benefit to large organizations which require information planning for managerial level.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.21 no.1
• /
• pp.111-117
• /
• 2007

This paper presents a new approach to evaluate reliability indices of electric distribution systems using genetic Algorithm (GA). The use of reliability evaluation is an important aspect of distribution system planning and operation to adjust the reliability level of each area. In this paper, the reliability model is based on the optimal load transforming problem to minimize load generated load point outage in each sub-section. This approach is one of the most difficult procedures and become combination problems. A new approach using GA was developed for this problem. GA is a general purpose optimization technique based on principles inspired from the biological evolution using metaphors of mechanisms such as natural selection, genetic recombination and survival of the fittest. Test results for the model system with 24 nodes 29 branches are reported in the paper.

• Journal of KIBIM
• /
• v.14 no.2
• /
• pp.13-24
• /
• 2024

This research suggests a novel visualization approach utilizing Generative AI to render photorealistic architectural alternatives images in the early design phase. Photorealistic rendering intuitively describes alternatives and facilitates clear communication between stakeholders. Nevertheless, the conventional rendering process, utilizing 3D modelling and rendering engines, demands sophisticate model and processing time. In this context, the paper suggests a rendering approach employing the text-to-image method aimed at generating a broader range of intuitive and relevant reference images. Additionally, it employs an Text-to-Image method focused on producing a diverse array of alternatives reflecting architects' styles when visualizing the exteriors of residential buildings from the mass model images. To achieve this, fine-tuning for architects' styles was conducted using the Low-Rank Adaptation (LoRA) method. This approach, supported by fine-tuned models, allows not only single style-applied alternatives, but also the fusion of two or more styles to generate new alternatives. Using the proposed approach, we generated more than 15,000 meaningful images, with each image taking only about 5 seconds to produce. This demonstrates that the Generative AI-based visualization approach significantly reduces the labour and time required in conventional visualization processes, holding significant potential for transforming abstract ideas into tangible images, even in the early stages of design.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.19 no.4
• /
• pp.660-668
• /
• 1994

In this paper, a new approach to estimate nonmlinear distortions (second-harmonic, second-intermodulation, third-harmonic, and third-intermodulation) in digital communication systems is proposed. In contrast to the relatively common sine-wave input approach which requires repetition of the same experiments by changing frequencies of oscillators and filters over the band of frequencies of interest, the proposed approach uses digital random input (transmitted signal in digital communication system) to adaptively estimate parameters of a nonlinear channel in time-domain. Nonlinear distortion of the channel is estimated on line by transforming the estimated parameters into frequency-domain. Comparison between the classical two-tone input approach and the proposed approach is made through computer simulation.

• Communications for Statistical Applications and Methods
• /
• v.21 no.3
• /
• pp.213-224
• /
• 2014

In this paper, we study the problem of transforming to normality. We propose to estimate the transformation parameter by minimizing a weighted squared distance between the empirical characteristic function of transformed data and the characteristic function of the normal distribution. Our approach also allows for other symmetric target characteristic functions. Asymptotics are established for a random sample selected from an unknown distribution. The proofs show that the weight function $t^{-2}$ needs to be modified to have thinner tails. We also propose the method to compute the influence function for M-equation taking the form of U-statistics. The influence function calculations and a small Monte Carlo simulation show that our estimates are less sensitive to a few outliers than the maximum likelihood estimates.