• Journal of Korean Medicine Rehabilitation
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• v.21 no.2
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• pp.171-188
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• 2011

Objectives : The aim of this study is to analyze the actual investigation and classification of osteopathic manipulation by investigation of the various literature of the inside and outside of the country, and to present the application plan of osteopathy in chuna manual therapy for meridian sinew system. Methods : I referred to the domestic and foreign books about osteopathy and chiropractic. In order to investigate domestic dissertations, I searched 4 Korean medical databases and 4 Korean medical journals of osteopathy. Search terms used were osteopathy, osteopathic, fascia, proprioreceptor, mechanoreceptor, muscle spindle, golgi tendon organ, osteopathic manipulation technics. And I classified all the searched studies into principle and region and etc. In order to investigate foreign dissertations, I search 'NCBI pubmed'. Search terms used were osteopathy, osteopathic technique, osteopathic manipulative technique. Results : 1. Osteopathy do not regard the systems which compose the human body in individual territory, but regard whole. It is diagnosis, prevention and medicine which treats 2. Osteopathic manipulation techniques are classified into direct techniques, indirect techniques, and compound techniques. 3. Osteopathic manipulation techniques are classified into fascia, muscle, ligament-joint in applied region. 4. I could search clinical cases in domestic and foreign study. I found cases about myofascial release technique(MFR), postisometric relaxation(PIR), proprioceptive neuromuscular fascilitation(PNF), muscle energy technique(MET), joint mobilization in domestic studies, and strain-counterstrain technique(SCS), MET, AK in foreign studies. Conclusions : Osteopathic manipulation techniques can be used in diagnosis and treatment of meridian muscle theory, because osteopathy and the oriental medicine have many similarities in theoretical background. So osteopathic manipulation technique can be useful in oriental medicine treatment techniques.

• Journal of Korean Society of Archives and Records Management
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• v.17 no.2
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• pp.129-163
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• 2017

This study investigated the administrative history, from the introduction of the "Standard of Government Function Classification" (BRM) to its development and application. Through the results of the survey, the causes of the problems observed in the current government's functional classification system were revealed. The current survey examined the functional classification scheme of the central government and local governments on the "cultural heritage" policy area (9 major functions, 59 middle functions, 297 small functions, and 1,287 unit tasks). It confirmed the problem of the separation of functions between central and local governments as well as other problems. Among the problems, this study proposed an improvement model through four representative cases such as the "designation of cultural heritage." In order to reorganize the "Standard of Government Function Classification," it is necessary to design a business function with the reproduction of tasks, establish a system for management and operation in order to maintain the consistency of the business function, educate users, and suggest continuous improvement.

• Nuclear Engineering and Technology
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• v.41 no.4
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• pp.427-446
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• 2009

In order to meet the increasing demand for electricity, Korea has to rely on nuclear energy due to its poor natural resources. In order for nuclear energy to be expanded in its utilization, issues with uranium supply and waste management issues have to be addressed. Fast reactor system is one of the most promising options for electricity generation with its efficient utilization of uranium resources and reduction of radioactive waste, thus contributing to sustainable development. The Korea Atomic Energy Research Institute (KAERI) has been performing R&Ds on Sodium-cooled Fast Reactors (SFRs) under the national nuclear R&D program. Based on the experiences gained from the development of KALIMER conceptual designs of a pool-type U-TRU-10%Zr metal fuel loaded reactor, KAERI is currently developing Advanced SFR design concepts that can better meet the Generation IV technology goals. This also includes developing, Advanced SFR technologies necessary for its commercialization and basic key technologies, aiming at the conceptual design of an Advanced SFR by 2011. KAERI is making R&D efforts to develop advanced design concepts including a passive decay heat removal system and a supercritical $CO_2$ Brayton cycle energy conversion system, as well as developing design methodologies, computational tools, and sodium technology. The long-term Advanced SFR development plan will be carried out toward the construction of an Advanced SFR demonstration plant by 2028.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.2
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• pp.399-406
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• 2009

In this study, Polynomial Radial Basis Function Neural Network(pRBFNN) based on Fuzzy Inference System is designed and its parameters such as learning rate, momentum coefficient, and distributed weight (width of RBF) are optimized by means of Particle Swarm Optimization. The proposed model can be expressed as three functional module that consists of condition part, conclusion part, and inference part in the viewpoint of fuzzy rule formed in 'If-then'. In the condition part of pRBFNN as a fuzzy rule, input space is partitioned by defining kernel functions (RBFs). Here, the structure of kernel functions, namely, RBF is generated from HCM clustering algorithm. We use Gaussian type and Inverse multiquadratic type as a RBF. Besides these types of RBF, Conic RBF is also proposed and used as a kernel function. Also, in order to reflect the characteristic of dataset when partitioning input space, we consider the width of RBF defined by standard deviation of dataset. In the conclusion part, the connection weights of pRBFNN are represented as a polynomial which is the extended structure of the general RBF neural network with constant as a connection weights. Finally, the output of model is decided by the fuzzy inference of the inference part of pRBFNN. In order to evaluate the proposed model, nonlinear function with 2 inputs, waster water dataset and gas furnace time series dataset are used and the results of pRBFNN are compared with some previous models. Approximation as well as generalization abilities are discussed with these results.

• IE interfaces
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• v.25 no.2
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• pp.204-215
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• 2012

Recently, more and more firms are considering the adoption of RFID technology because it is expected to make process automation easier and has many different application areas. A review of existing studies about RFID adoption methodology shows that the most of the proposed methodologies are mainly based on economic evaluations. However, in the near future when the adoption and diffusion of RFID become major forces among business firms, it would surely have some limits to decide its adoption solely on the basis of economic considerations. In order for all the important strategic objectives to be considered during the major decision processes, it is necessary to make explicit what the decision makers really want to achieve from the RFID system. In this paper, we propose a general value model of RFID system which can provide an overall vision of all values RFID adoption may offer and a way to search and evaluate alternatives on the basis of these values. Especially, this model contains not only opportunities but also risks of RFID adoption so that a balanced consideration can be made. The model building process was essentially based on the 'value-focused thinking' approach proposed by R. Keeney. The proposed model is expected to provide insights about what to do in the process of introduction in order to maximize the potential benefits and minimize the negative risks. Referring to this value model, the important decisions would have greater chance to be based on a balanced consideration of opportunities and risks.

• The KIPS Transactions:PartA
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• v.11A no.2
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• pp.213-222
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• 2004

Today's Web-based teaching-learning is developing in the direction that learners select and organize the contents, time and order of learning by themselves. That is, it is evolving to provide teaching-learning environment adaptive to individual learners' characteristics(their level of knowledge, pattern of study. areas of interest). This study analyzed learners' learning paths among the variables of learners' characteristics considered important in Web-based teaching- learning process using the Apriori algorithm and grouped learners who had similar learning paths. Based on the result, the author designed and developed a learning-path individualization system In order to provide learners with learning paths, Interface, the progress of learning etc. The proposed system is expected to provide optimal learning environment fit for learners' pattern of study and to be enhancing individual learner's learning effects

• Korean Chemical Engineering Research
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• v.45 no.1
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• pp.67-72
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• 2007

An efficient method for identification of MIMO state space model has been developed by combining partial least squares (PLS) regression, balanced realization, and balanced truncation. In the developed method, a MIMO system is decomposed into multiple MISO systems each of which is represented by a high-order ARX model and the parameters of the ARX models are estimated by PLS. Then, MISO state space models for respective MISO ARX transfer function are found through realization and combined to a MIMO state space model. Finally, a minimal balanced MIMO state space model is obtained through balanced realization and truncation. The proposed method was applied to the design of model predictive control for temperature control of a high pressure $CO_2$ solubility measurement system.

• Journal of Digital Convergence
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• v.9 no.2
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• pp.33-40
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• 2011

It is very difficult to predict what effects the introduction of IFRS(International and Financial Reporting Standars) has on the existing system. Only the cautious and careful adoption of new system will minimize the confusion. The purpose of this paper is to propose appropriate design and construction of IS on financial statement according to the introduction of IFRS(International Financial Reporting Standard) in order to minimize the confusion. In order to meet that purpose, suggestions on five areas in consolidation financial statement are proposed. Those five aspects are as follows: Area of SPE Consolidation, Area of internal transaction setoff, Area of unrealized gain or loss setoff, Area of eliminate the investment account against the stockholder's equity, Making Consolidation footnote and Consolidation CoA as other area.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.3
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• pp.505-513
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• 2009

Z. Cao had proposed NFRM(new fuzzy reasoning method) which infers in detail using relation matrix. In spite of the small inference rules, it shows good performance than mamdani's fuzzy inference method. But the most of fuzzy systems are difficult to make fuzzy inference rules in the case of MIMO system. The past days, We had proposed the MIMO fuzzy inference which had extended a Z. Cao's fuzzy inference to handle MIMO system. But many times and effort needed to determine the relation matrix elements of MIMO fuzzy inference by heuristic and trial and error method in order to improve inference performances. In this paper, we propose a MIMO fuzzy inference method with the learning ability witch is used a gradient descent method in order to improve the performances. Through the computer simulation studies for the inverse kinematics problem of 2-axis robot, we show that proposed inference method using a gradient descent method has good performances.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.899-908
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• 2021

Since the modern weapon system is composed of a complex system, it is quite difficult to derive the priority of performance improvement factors. In addition, research on the method for prioritizing quantitative performance improvement factors considering the opinions of stakeholders is insufficient. In this study, in order to quantitatively derive the priorities of performance improvement factors for K1 tanks and K2 tanks, a survey was conducted with experts with experience in tank development, and the preface data was analyzed using AHP, scoring method, and TOPSIS methods. As a result, priorities were quantitatively derived. The results of this study are expected to be used as decision-making indicators for stakeholders in the future weapon system development and performance improvement stage.