• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2006년도 춘계학술발표논문집
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• pp.608-610
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• 2006

Supply Chain Management(SCM) system is a critical investment that can affect future competitiveness and performance of a company. When adopting a new SCM system, organizations experience increasing difficulty in decision making because information technology is changing so rapidly these days. Therefore, organizations have been looking for industry standards and proven methods of selection that they can utilize to choose the best SCM system. To select an optimum solution, we need to consider a number of different quantitative and qualitative factors such as cost, user interface and convenience, reference site, and so on. In this study, we propose a solution selection model of SCM systems using Fuzzy AHP to maximize the return on investment in information technology. The proposed model can systematically construct the objectives of SCM system selection to support the business goals.

• Steel and Composite Structures
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• 제49권4호
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• pp.407-417
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• 2023

After a disaster like the catastrophic earthquake, the government have to use rapid assessment of the condition (or damage) of bridges, buildings and other infrastructures is mandatory for rapid feedbacks, rescue and post-event management. Many domain schemes based on the measured vibration computations, including least squares estimation and neural fuzzy logic control, have been studied and found to be effective for online/offline monitoring of structural damage. Traditional strategies require all external stimulus data (input data) which have been measured available, but this may not be the generalized for all structures. In this article, a new method with unknown inputs (excitations) is provided to identify structural matrix such as stiffness, mass, damping and other nonlinear parts, unknown disturbances for example. An analytical solution is thus constructed and presented because the solution in the existing literature has not been available. The goals of this paper are towards access to adequate, safe and affordable housing and basic services, promotion of inclusive and sustainable urbanization and participation, implementation of sustainable and disaster-resilient buildings, sustainable human settlement planning and manage. Simulation results of linear and nonlinear structures show that the proposed method is able to identify structural parameters and their changes due to damage and unknown excitations. Therefore, the goal is believed to achieved in the near future by the ongoing development of AI and control theory.

• Smart Structures and Systems
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• 제33권4호
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• pp.291-300
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• 2024

Uncertainty of the model, system delay and drive dynamics can be considered as normal uncertainties, and the main source of uncertainty in the seismic control system is related to the nature of the simulated seismic error. In this case, optimizing the management strategy for one particular seismic record will not yield the best results for another. In this article, we propose a framework for online management of active structural management systems with seismic uncertainty. For this purpose, the concept of reinforcement learning is used for online optimization of active crowd management software. The controller consists of a differential controller, an unplanned gain ratio, the gain of which is enhanced using an online reinforcement learning algorithm. In addition, the proposed controller includes a dynamic status forecaster to solve the delay problem. To evaluate the performance of the proposed controllers, thousands of ground motion data sets were processed and grouped according to their spectrum using fuzzy clustering techniques with spatial hazard estimation. Finally, the controller is implemented in a laboratory scale configuration and its operation is simulated on a vibration table using cluster location and some actual seismic data. The test results show that the proposed controller effectively withstands strong seismic interference with delay. The goals of this paper are towards access to adequate, safe and affordable housing and basic services, promotion of inclusive and sustainable urbanization and participation, implementation of sustainable and disaster-resilient buildings, sustainable human settlement planning and manage. Simulation results is believed to achieved in the near future by the ongoing development of AI and control theory.

• Smart Structures and Systems
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• 제33권5호
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• pp.365-374
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• 2024

This paper adopts a new approach in which nonlinear vibrations can be controlled using fuzzy controllers by optimal grey evolutionary algorithm. If the fuzzy controller cannot stabilize the systems, then the high frequency is injected into the system to assist the controller, and the system is asymptotically stabilized by adjusting the parameters. This paper uses the GM (grey model) and the neural network prediction model. The structure of the neural network is improved from a single factor, and multiple data inputs are extended to various factors and numerous data inputs. The improved model expands the applicable range of uncontrolled elements and improves the accuracy of controlled prediction, using the model that has been trained and stabilized by multiple learning. The simulation results show that the improved gray neural network model has higher prediction accuracy and reliability than the traditional GM model, improving controlled management and pre-control ability. In the combined prediction, the time series parameters and the predicted values obtained from the GM (1,1) (Grey Model of first order and one variable) are simultaneously used as the input terms of the neural network, considering the influence of the non-equal spacing of the data, which makes the results of the combined gray neural network model more rationalized. By adjusting the model structure and system parameters to simulate and analyze the controlled elements, the corresponding risk change trend graphs and prediction numerical calculation results are obtained, which also realize the effective prediction of controlled elements. According to the controlled warning principle and objective, the fuzzy evaluation method establishes the corresponding early warning response method. The goals of this paper are towards access to adequate, safe and affordable housing and basic services, promotion of inclusive and sustainable urbanization and participation, implementation of sustainable and disaster-resilient buildings, sustainable human settlement planning and manage.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제16권2호
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• pp.95-103
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• 2016

In a dynamic environment autonomous robots often encounter unexpected situations that the robots have to deal with in order to continue proceeding their mission. We propose an adaptive goal-based model that allows cyber-physical systems (CPS) to update their environmental model and helps them analyze for attainment of their goals from current state using the updated environmental model and its capabilities. Information exchange approach utilizes Human-Agent-Robot-Machine-Sensor (HARMS) model to exchange messages between CPS. Model validation method uses NuSMV, which is one of Model Checking tools, to check whether the system can continue its mission toward the goal in the given environment. We explain a practical set up of the model in a situation in which homogeneous robots that has the same capability work in the same environment.

• 유통과학연구
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• 제11권3호
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• pp.13-22
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• 2013

Purpose - Product purpose for optimal values solution for synthesize evaluative criteria and optimize product design values. In addition, product designer has to consider the product design to conform to project, laws and regulations, authentication, from the product design stage. Research design, data, methodology - How to use an evaluative criteria model's imprecise market data by evaluative criteria research design; product mapping relationships between design parameters and customer requirements using product predicted value method. An evaluative criteria model and their associated criteria status, product evaluative criteria model of results. Results - Therefore, after the enterprise product design project analysis, effectiveness and the customer degree of satisfaction must be appraised to obtain the maximum value for the benefit on behalf of the implementation goals, the promotion product level and market competition strength. Conclusions - In multi criterion decision making (MCDM), using its searching software capacity to obtain the optimal solution.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제5권1호
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• pp.46-51
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• 2005

Intelligent Space(ISpace) is the space where many intelligent devices, such as computers and sensors, are distributed. According to the cooperation of many intelligent devices, the environment, it is very important that the system knows the location information to offer the useful services. In order to achieve these goals, we present a method for representing, tracking and human following by fusing distributed multiple vision systems in ISpace, with application to pedestrian tracking in a crowd. And the article presents the integration of color distributions into particle filtering. Particle filters provide a robust tracking framework under ambiguity conditions. We propose to track the moving objects by generating hypotheses not in the image plan but on the top-view reconstruction of the scene. Comparative results on real video sequences show the advantage of our method for multi-object tracking. Simulations are carried out to evaluate the proposed performance. Also, the method is applied to the intelligent environment and its performance is verified by the experiments.

• 한국안전학회지
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• 제12권1호
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• pp.122-128
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• 1997

A new approach, called "two-phase approach", has been proposed In this study. Using this approach to solve MONLP(multiobjective nonlinear programming problem), the solution process is divied into two phase. In the first phase, the min-operator is used to aggregate the membership degree of fuzzy goals and constraints. In the second phase, the $\gamma$-operator is used to test and find an efficient solution in the sense of nondominated. It has been shown that no matter what the solution of the problem is unique or not, an efficient solution can be always obtained at the second phase. The proposed approach can be applied to industrial safety problem with multiobjective problems. On the basis of proposed approach, an illustrative numerical example is presented.presented.

• 한국사회정책
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• 제19권3호
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• pp.119-147
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• 2012

이 논문에서는 복지국가 트릴레마 개념이 최근 복지국가의 변화를 설명하는 데 여전히 유효한 개념인가를 검토한다. 이를 위하여 퍼지셋 이상형 분석(fuzzy-set ideal type analysis)을 활용하여 1980년대부터 2010년까지 서비스경제에서 복지국가가 소득 평등, 고용 증대, 건전 재정이라는 세 가지 목표를 어떻게 달성하고 있는지를 분석하였다. 지난 30여 년 동안 복지국가의 성과를 분석한 결과를 보면, 복지국가 트릴레마 -세 가지 목표 중에서 두 가지만을 선택하여 달성하고 나머지 한 가지는 희생시키는 상황가 서비스경제에서 복지국가가 추구하는 목표와 성과를 설명하는 데 적합하지 않다는 것을 확인하였다. 단지, '자유주의 모형'에 속하는 국가들의 경우 소득 평등을 희생하고 고용 증가와 재정 건전성의 목표를 달성하고 있다는 점에서 트릴레마 개념이 설득력을 지녔다. 그러나 보수주의 복지체제에 속하는 국가들은 고용 확대에서 어려움을 겪고 있다는 것에 더하여 1980년대 초반까지 양호한 성과를 기록하였던 소득 평등과 재정 건전성 문제가 악화되며 다양하게 분화하고 있다. 보수주의 복지체제에 속하는 대표적 국가인 독일은 소득 불평등이 심화되고, 파견직을 중심으로 비정규직 고용이 증가하여 '자유주의 모형'으로 근접해 갔고, 프랑스는 소득 평등, 고용 증가, 건전 재정의 세 가지 목표를 모두 달성하지 못하는 '위기 모형'으로 근접해 가며 최근 경제위기를 겪고 있는 남유럽 국가들과 같은 모형으로 분류되고 있다. '사회민주주의 모형'에 속한 복지국가들은 2000년대에 들어와 재정 건전성을 달성하면서, 세 가지 목표를 모두 달성하는 '완전 모형'으로 분류되고 있다. 그리고 세 가지 목표들 중에서 어느 한 가지만을 달성하고 나머지 두 개의 목표를 희생하는 복지국가들, 이 연구에서 '고용형 모형', '평등형 모형', '재정 건전형 모형'에 속한 국가들이 나타나고 있다. 따라서 Iversen & Wren이 서비스경제에서 복지국가들이 트릴레마 상황에 처해 있다는 주장은 사실과 다르다. 복지국가 트릴레마는 서비스경제에서 복지국가의 목표와 분배정치의 결과를 설명하는 데 더 이상 적절한 개념이 될 수 없다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제6권1호
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• pp.39-46
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• 2006

We propose an global color model based method for tracking motions of multiple human using a networked multiple-camera system in intelligent space as a human-robot coexistent system. An intelligent space is a space where many intelligent devices, such as computers and sensors(color CCD cameras for example), are distributed. Human beings can be a part of intelligent space as well. One of the main goals of intelligent space is to assist humans and to do different services for them. In order to be capable of doing that, intelligent space must be able to do different human related tasks. One of them is to identify and track multiple objects seamlessly. In the environment where many camera modules are distributed on network, it is important to identify object in order to track it, because different cameras may be needed as object moves throughout the space and intelligent space should determine the appropriate one. This paper describes appearance based unknown object tracking with the distributed vision system in intelligent space. First, we discuss how object color information is obtained and how the color appearance based model is constructed from this data. Then, we discuss the global color model based on the local color information. The process of learning within global model and the experimental results are also presented.