• Industrial Engineering and Management Systems
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• v.1 no.1
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• pp.73-78
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• 2002

In this paper, we propose a constrained optimization model for conjoint analysis (a preference decomposition technique) to improve parameter estimation by restricting the relative importance of the attributes to an extent as decided by the respondents. Quite simply, respondents are asked to provide some pairwise attribute comparisons that are then incorporated as additional constraints in a linear programming model that estimates the partial preference values. This data collection method is typical in the analytic hierarchy process. Results of a simulation study show the new model can improve the predictive accuracy in partial value estimation by ordinal east squares (OLS) regression.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.50 no.9
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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 Korea Entertainment Industry Association
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• v.15 no.2
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• pp.1-10
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• 2021

The purpose of this study is to explore a significant HPWS(High Performance Work System) model for the entertainment industry. HPWS is one of the most studied themes for managing human resources as well as a set of practices to elicit employees' commitment to an organization. Recently, the entertainment industry is growing rapidly, but it is difficult for entertainment firms to retain a stable profit unlike the manufacturing industry. This is because the performance of entertainment business tends to rely heavily on the capabilities and synergy of human resources. In order to suggest a systematic way to manage these, this research identified an effective HPWS model for entertainment business and provides a competitive advantage to entertainment firms, using ANP(Analytic Network Process). ANP is a multicriteria decision making technique that allows dependences and feedbacks among decision elements in the hierarchical or network structures in a holistic manner. The pairwise comparison data that prioritized the criteria of HPWS was collected from 28 team leaders in entertainment firms. According to our results, the most critical factor for HPWS in entertainment business is "employee involvement in decision-making." The sub-factors such as "open communication," "distributive decision-making," and "performance-driven reward" have a greater effect. These findings could provide implications for entertainment firms to determine which practices should be taken into account to accomplish HPWS.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.7
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• pp.1272-1281
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• 1994

CDMA technique has been largely focused for Wireless Data Network and PCN. ALOHA protocol also has been proven to be effective for Packet Radio Network regardless of low throughput due to channel colisions. In this paper, we evaluate the performance of CDMA_ALOHA scheme, denoted as S_CDMA_ALOHA(Soltted_CDAM_ALOHA) and MS_CDMA_ALOHA(Minislotted_CDMA_ALOHA) system, by analytic and simulation method. The superiority of the CDMA_ALOHA systems over conventional Slotted ALOHA system are clearely demonstrated for throughput, delay and stability performances. The MS_CDMA_ALOHA scheme provides better delay and throughput performance than the S_CDMA_ALOHA scheme.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.2
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• pp.399-417
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• 2020

In this study, we tried to analyze the relative importance of features for various functions provided by Discovery. We identified a total of 36 assessment items in five categories including contents, search function, serendipity, interactivity, and ease of use based on literature review. In order to objectively evaluate the relative importance of each evaluation element, an AHP technique was adopted. As a result, 'Easy of use' received the highest weighted value among the five categories, followed by 'contents', 'search function', 'interactivity', and 'serendipity'. In addition, among all the 36 assessment items, 'Quality of data for central index' had higher weighted value. These findings can be used as basic data to adopt a discovery tool for libraries.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.51 no.2
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• pp.69-75
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• 2002

AVR parameter tuning for voltage control of power system generators has generally been performed with the analytic methods and the simulation methods, which mostly depend on off-line linear mathematical models of excitation control system. However, due to the nonlinear nature of excitation control system, excitation control system performance of the tuned Parameters using the above conventional tuning methods may not be appropriate for some operating conditions. This paper presents an AVR parameter tuning method using actual on-line data of the excitation control system with the parameter optimization technique. As this method utilizes on-line operating data of the target excitation control system not the mathematical model of the system, it can overcome the limitation of model uncertainty Problems in conventional method, and it can tune the AVR parameter set which gives desired performance at the operating conditions. For the verification of proposed tuning method, two case studies with scaled excitation systems and the real-time power system simulator are presented.

• The Transactions of the Korea Information Processing Society
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• v.1 no.4
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• pp.502-510
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• 1994

CDMA technique has been largely focused for Wireless Data Communication and Personal Communication Network. ALOHA protocol also has been proven to be effective for Packet Radio Radio Network regardless of low throughput due to channel collisions. In this paper, we evaluate the performance of MS-CDMA-ALOHA (Mini-Slotted-CDMA-ALOHA) system, by analytic and simulation method. The superiority of the MS-CDMA-ALOHA system over conventional Slotted ALOHA and Slotted-CDMA-ALOHA systems are clearly demonstrated for throughput, delay and stability performances.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.2C
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• pp.99-104
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• 2011

The chirp spread spectrum (CSS) technique spreads the data signal over a frequency bandwidth wider than minimum required bandwidth. By using time overlapping, the bit rate in CSS can be increased. However, for reliable transmission of data signal, the intersymbol interference (ISI) due to overlap should be analyzed. In this paper, the relation between the degree of overlap and ISI is analyzed in direct modulation binary phase shift keying CSS systems. In some cases, the overlap does not incur ISI at all and the ISI fluctuates or monotonically increases as the number of overlaps changes. It is also shown that the simulation results closely agree with the analytic results.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.375-380
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• 2019

In this paper, we study learning process mining and analytic technology based on open education platform. A study on mining through personal learning history log data based on an open education platform such as MOOC which is growing in interest recently. This technology is to design and implement a learning process mining framework for discovering and analyzing meaningful learning processes and knowledge from learning history log data. Learning process mining framework technology is a technique for expressing, extracting, analyzing and visualizing the learning process to provide learners with improved learning processes and educational services.

• Journal of The Korea Institute of Healthcare Architecture
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• v.30 no.3
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• pp.45-56
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• 2024

Purpose: It is important to note that the relative importance of risk factors should be identified to successfully complete the remodeling project of general hospital. Approached by analytic hierarchy process (AHP), the present study aimed to systematically evaluate the risk factors for remodeling of general hospital. Methods: The present work classified the risk factors of general hospital remodeling into four major categories including the requirements survey stage, planning and design stage, dismantling and construction stage, and maintenance stage. In addition, four sub-categories were derived from each major category factor. Furthermore, five major categories and four subcategories were selected to be considered from the perspectives of two stakeholders of contractor and constructor. The relative importance of the major and sub-categories factors was calculated using the AHP technique on the survey data collected from 49 respondents who participated in the survey study. Results: The results indicate that, the risk factor of requirements survey stage was found to be the most important risk factor to consider among the four major categories of factors. Also, insufficient preliminary investigation, design inconsistencies in architecture/mechanics/electricity, occurrence of safety accidents, and insufficient review of various equipment capacities and performances were found to have the highest priorities of each subcategory factor group included in the four major categories. From the perspective of contractor, the error in predicting the construction period was found to be the most important risk factor. The occurrence of safety accidents during construction was found to be the most important risk factor to be considered by constructor. Implications: The result of the current work should provide important insights and guidelines for the risk management activity that contributes to controlling the project time, cost, and scope required for general hospital remodeling.