• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.1
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• pp.65-71
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• 2013

In this paper, we address fault detection observer design problem of T-S fuzzy systems with sensor fault. To detect fault, T-S fuzzy model-based observer is used. By introducing $\mathfrak{H}$_ performance index, an observer is designed as sensitive to fault as possible. The fault is then detected by a fault decision logic. The design conditions are derived in terms of linear matrix inequalities. An illustrative example is provided to verify the effectiveness of the proposed fault detection technique.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.4C
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• pp.418-424
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• 2007

This paper proposes a scheme to track channel response in OFDM systems with null sub-carriers. The proposed channel tracking scheme estimates the channel response first in the frequency domain by using the decision directed data. The time domain channel estimation is then performed to remove additive white Gaussian noise (AWGN) components further. Due to the channel estimation in the frequency domain, no inverse matrix calculation is required in the time domain channel estimation. Computational reduction in the proposed method is about 93%, compared with the conventional time domain channel estimation method. Mean square error (MSE) and bit error rate (BER) performances are evaluated by using computer simulation. The proposed method shows the same performance as that of the conventional time domain channel estimation even though the significant computational reduction.

• Korean Journal of Health Education and Promotion
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• v.32 no.4
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• pp.93-108
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• 2015

Objectives: The purpose of this study was to investigate the current state of health literacy research and to explore the directions of improvement health literacy in Korea. Methods: A review of literature was conducted via an electronic database and citation tracking reference. A total of 173 articles were identified, where and then 41 articles were selected for review that met the inclusion criteria. Two authors independently reviewed the articles using the matrix table and together examined together the three aspects of the studies: research methods, health literacy instrument, and results. Results: Most of the articles were descriptive-correlation studies, but there were one intervention study and six methodology studies that were developing health literacy measures and instrument related items and etc. More troubling sufficient samples and sampling methods were lacking at the population level. The validity of the used health literacy instruments was not sufficient reported. Conclusions: Health literacy instruments need to be validated in various population and contexts. Additionally, effective strategies to improve health literacy included teach-back, pictogram, and decision aids need to be tested in Korean health care system.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.124-129
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• 1992

The goal of the proposed Intelligent Assisting System - IAS is to assist human operators in an intelligent way, while leaving decision and goal planning instances for the human. To realize the IAS the very important issue of manipulation skill identification and analysis has to be solved, which then is stored in a Skill Data Base. Using this data base the IAS is able to perform complex manipulations on the motion control level and to assist the human operator flexibly. We propose a model for manipulation skill based on the dynamics of the grip transformation matrix, which describes the dynamic transformation between object space and finger joint space. Interaction with a virtual world simulator allows the calculation and feedback of appropriate forces through controlled actuators of the sensor glove with 10 degrees-of-freedom. To solve the sensor glove calibration problem, we learn the nonlinear calibration mapping by an artificial neural network(ANN). In this paper we also describe the experimental system setup of the skill acquisition and transfer system as a first approach to the IAS. Some simple manipulation examples and simulation results show the feasibility of the proposed manipulation skill model.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.2
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• pp.139-149
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• 2013

As the importance of technology forecasting while countries and companies manage the R&D project is growing bigger, the methodology of technology forecasting has been diversified. One of the forecasting method is patent analysis. This research proposes quick forecasting process of emerging technology based on keyword approach using text mining. The forecasting process is following: First, the term-document matrix is extracted from patent documents by using text mining. Second, emerging technology keyword are extracted by analyzing the importance of word from utilizing mean values and standard deviation values of the term and the emerging trend of word discovered from time series information of the term. Next, association between terms is measured by using cosine similarity. finally, the keyword of emerging technology is selected in consequence of the synthesized result and we forecast the emerging technology according to the results. The technology forecasting process described in this paper can be applied to developing computerized technology forecasting system integrated with various results of other patent analysis for decision maker of company and country.

• Journal of Korean Port Research
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• v.13 no.2
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• pp.215-232
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• 1999

Privatisation has emerged within the past few decades as one of the most significant challenges to public ports and their governments throughout the world. More than forty countries have committed to some form of port privatisation thus far and they will quite likely be joined by dozens more by the turn of the century. A decision to privatise ports can be driven by a variety of forces. The most obvious is to relieve a financially strapped government by turning to the private sector for an infusion of capital required to modernise and sustain port operations, or to bolster the national treasury. Inefficient and costly port operations can seriously impair the competitiveness of a nation’s export industries and artificially raise the cost and thus constrain the availability of imported goods. Privatisation in certain circumstances therefore holds the promise of stimulating economic growth particularly for those whose livelihood depends directly upon port activity and trade. The main objective of this paper is first of all, to introduce a variety of methods of port privatisation after reviewing the reason why port facilities should be privatised. This paper also aims to make some proposals with which a port privatisation process in Korea can be improved after summarising the present Terminal Operating Company(TOC) system propelled by Ministry of Maritime Affairs and Fisheries.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.2
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• pp.172-183
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• 2014

This paper measures and compares the efficiency of national health technology R&D programs focused on translational research program increasing importance using data envelopment analysis (DEA). Three input variables and three output variables are selected for DEA. Inputs are funds, researchers, and project period and outputs are SCI (E) papers, applied and granted patents, and impact factor. This study uses a three-stage approach. In the first stage, output-based DEA model is applied to evaluate the efficiency of decision making unit (DMU). In the second stage, based on efficiency scores of target diseases high-efficiency group and low-efficiency group are classified. And then strategic portfolio matrix of translational research program is composed of four dimensions combining research types. Mann-Whitney U test is then run to compare average efficiency scores among four groups. In the final stage, Tobit regression model is used to estimate factors likely to influence the efficiency. The results are expected to provide policy implications for effectively establishing investment strategy and managing performance of R&D program.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.1
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• pp.52-60
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• 1999

This paper deals with a fault detection and isolation scheme for a DC motor driven centrifugal pump system. The emphasis is placed on the design and implementation of the residual generatorm, based on parity relation, that provides decision logic unit with residuals that will be further processed to detect and isolate three important faults in the system;brush fault, impeller fault, and the speed sensor fault. Two process faults are modelled as multiplicative type faults, while the sensor fault as an additive one. With multiplicative fault, the implementation of the residual generator needs the time varying transformation matrix that must be computed on-line. Typical implementation methods lack in generality because only a numerical approximation around the assumed fault levels is employed. In this paper, a new implementation method using well tranined neural network is proposed to improve the generality of the residual generator. Application results show that the fault detection and isolation scheme with the proposed residual generator effectively isolates three major faults in the centrifugal pump system even with a wide range of fault magnitude.

• Journal of Environmental Impact Assessment
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• v.13 no.4
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• pp.165-185
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• 2004

Assessment in Socio-economic items should be used to estimate social influence when policies and projects were introduced. To estimate current situation of socio-economic items 19 Environmental Impact Statement (EIS) of large scale projects were analyzed. The projects were selected based on magnitude of social impact when the projects were implemented. Environmental Impact Statement was categorized into line projects(road construction, railroad construction, stream development, etc), and surface projects(energy development, wetland reclamation, recreation and sport development, and housing and residential development, etc) thus being chosen for 19 projects in each categories. This report was based on the analysis of 7 items in socio-economic environmental items(i.e., population, residents, industry, public facilities, education, transport and historical monument). Most EIS did not follow the regulation suggested by Ministry of Environment, and only current circumstances were briefly described. Indifference of in-depth analysis of socioeconomic environmental items would influence the process of social and environment impact negatively in the midst of construction of National Projects such as Outer Circle Seoul Highways, Saemankeum Reclamation Projects, etc. This abrupt halt of construction was mostly based on a lack of public hearing or public participation. Socio-economic items are also very much lacking in quantitative method and strengthening socio-economic environmental items is needed via checklist or matrix that brings decision-makers better ideas objectively.

• Communications of the Korean Mathematical Society
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• v.16 no.4
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• pp.679-690
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• 2001

Doubly stochastic matrices are n$\times$n nonnegative ma-trices whose row and column sums are all 1. Convex polytope $\Omega$$_{n}$ of doubly stochastic matrices and more generally (R,S), so called transportation polytopes, are important since they form the domains for the transportation problems. A theorem by Birkhoff classifies the extremal matrices of , $\Omega$$_{n}$ and extremal matrices of transporta-tion polytopes (R,S) were all classified combinatorially. In this article, we consider signed version of $\Omega$$_{n}$ and (R.S), obtain signed Birkhoff theorem; we define a new class of convex polytopes (R,S), calculate their dimensions, and classify their extremal matrices, Moreover, we suggest an algorithm to express a matrix in (R,S) as a convex combination of txtremal matrices. We also give an example that a polytope of signed matrices is used as a domain for a decision problem. In this context of finite reflection(Coxeter) group theory, our generalization may also be considered as a generalization from type $A_{*}$ n/ to type B$_{n}$ D$_{n}$. n/.