• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제8권12호
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• pp.499-506
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• 2019

지능형 로봇은 사용자의 요구에 따라 상황에 맞는 작업을 선택하여 서비스를 수행할 수 있어야 하며, 다양한 상황에 대해서 현재 가장 적합한 작업이 무엇인지 비교하고 선택할 수 있어야 한다. 이를 위해 절차적 추론 시스템을 활용하는 기존의 지능형 로봇시스템은 작업 모델 내부에 우선도 함수를 정의하고 이를 활용하여 작업 간 우선도를 비교하는 방법으로 작업관리 기능을 제공하고 있었다. 하지만 이러한 기존의 방법은 다중 도메인 서비스를 수행하는 데에 있어, 우선도 결정 함수가 명시적이지 않아 일반적인 상황에 대한 우선순위를 결정할 수 없고, 유용성을 비교하기 위한 표준적인 기준이 존재하지 않아 각 서비스 간의 우선도를 비교하는 방법이 범용적이지 않으며, 이를 재사용하거나 확장할 수 없다는 한계점이 존재했다. 우리는 이를 개선하기 위해 작업관리를 위한 정책 모델과 이를 활용하여 작업의 우선도를 계산하는 방법인 정책 모델 주도 메타-플래닝을 제안한다. 정책 모델은 메타-플래닝 과정에서 작업의 유틸리티를 명시적으로 계산할 수 있는 기능을 제공하며, 기초 모델을 통해 다양한 서비스 간의 유용성을 비교할 수 있게 해준다. 또한, 모델의 구성을 온톨로지를 활용함으로써 확장성을 가지는 특징이 있다. 실험을 통해 동적 환경에서 정책 모델에 따라 로봇의 행동이 변화하는 것을 관찰할 수 있었고, 이를 통해 서비스가 필요에 따라 우선도의 비교를 통해 선택되는 것을 확인할 수 있었다.

• 전자공학회논문지B
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• 제29B권8호
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• pp.15-23
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• 1992

Neural network control has many innovative potentials for fast, accurate and intelligent adaptive control. In this paper, two kinds of neurocontrol architectures for the dynamic control of robot manipulators are developed. One is based on a System Identification and Control scheme and the other is based on the Feedback-Error leaming scheme. Both of the proposed architectures use an inverse dynamic neurocontroller in parallel with a linear neurocontroller. The difference is that the first architecture uses the system identifier to get the signals used for training neurocontrollers, while the second architecture uses a properly defined energy function. Compared with the previous types of neurocontrollers which are using an inverse dynamic neurocontroller and a fixed PD gain controller, the proposed architectures not only eliminate the painful process of the fixed gain tuning but also exhibit superior peformances because the linear neurocontroller can adapt its gains according to the applied task. This superior performance is tested and verified through computer simulation of the dynamic control of the PUMA 560 arm.

• Journal of Electrical Engineering and Technology
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• 제10권1호
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• pp.372-378
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• 2015

Background subtraction is the first processing stage in video surveillance. It is a general term for a process which aims to separate foreground objects from a background. The goal is to construct and maintain a statistical representation of the scene that the camera sees. The output of background subtraction will be an input to a higher-level process. Background subtraction under dynamic environment in the video sequences is one such complex task. It is an important research topic in image analysis and computer vision domains. This work deals background modeling based on modified adaptive Gaussian mixture model (GMM) with three temporal differencing (TTD) method in dynamic environment. The results of background subtraction on several sequences in various testing environments show that the proposed method is efficient and robust for the dynamic environment and achieves good accuracy.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제13권1호
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• pp.19-30
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• 2013

Recently, the constrained index tracking problem, in which the task of trading a set of stocks is performed so as to closely follow an index value under some constraints, has often been considered as an important application domain for control theory. Because this problem can be conveniently viewed and formulated as an optimal decision-making problem in a highly uncertain and stochastic environment, approaches based on stochastic optimal control methods are particularly pertinent. Since stochastic optimal control problems cannot be solved exactly except in very simple cases, approximations are required in most practical problems to obtain good suboptimal policies. In this paper, we present a procedure for finding a suboptimal solution to the constrained index tracking problem based on approximate dynamic programming. Illustrative simulation results show that this procedure works well when applied to a set of real financial market data.

• 산업기술연구
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• 제16권
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• pp.113-121
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• 1996

In the early developmental stages of robotics,hydraulics played an important role. As the power-to-weight ratio of electric motors increased, they eventually replaced hydraulic actuators in robot manipulators. Recently, however, task requirements have dictated that the manipulator payload capacity increase to accomodate greater payload, greater length, greater reaction forces, and hydraulic actusators are being studied as an effective form of robot actuation again. For efficient control of hydraulic actuators, the knowledge of its dynamic equation is essential. However, the dynamic equation of hydraulic actuators are nonlinear, and the dynamic coefficients are time varying. In this paper, an estimation algorithm of the dynamic coefficients of the hydraulic piston dynamics are formulated. Simulation results are presented to show the possibility of the parameter estimation.

• 대한임베디드공학회논문지
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• 제8권5호
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• pp.243-248
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• 2013

Reliability evaluation is important task in embedded system. It can avoid potential failures and manage the vulnerable components of embedded system effectively. Dynamic fault tree analysis is one of the reliability evaluation methods. It can represent dynamic characteristics of a system such as fault & error recovery, sequence-dependent failures. In this paper, the steering system, which is embedded system in vehicles, is represented using dynamic fault tree. We evaluate the steering system using approximation algorithm based on Simpson's rule. A set of simulation results shows that proposed method overcomes the low accuracy of classic approximation method without requiring no excessive calculation time of the Markov chain method.

• 대한전자공학회논문지TE
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• 제39권4호
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• pp.431-436
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• 2002

본 연구에서는 워크플로우 환경에서 정적 및 동적 의무 분리 요구 사항의 명세에 대한 과업 역할 기반 접근제어 모델과 상충하는 엔티티 관리 패러다임의 통합을 통하여 기업 환경에서 접근제어 시행을 위한 개선된 접근제어 모델을 구현한다. 본 논문에서 구현한 확장된 과업 역할기반 접근제어 모델은 워크플로우 지향 과업에 대하여 상충하는 엔티티들을 다룰 수 있고 기업의 특성에 따라서 기업 세션의 분류를 통하여 기업 환경에서 과업에 정교한 의무 분리 정책을 지원할 수 있다.

• 한국산업정보학회논문지
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• 제1권1호
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• pp.153-176
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• 1996

The new field of learning control devleops controllers that learn to improve their performance at executing a given task, based on experience performing this task. the simplest forms of learning control are based on the same concepts as integral control, but operating in the domain of the repetitions of the task. This paper studies the use of such controllers ina decentralized system, such as a robot with the controller for each link acting independently. The basic result of the paper is to show that stability of the learning controllers for all subsystems when the coupling between subsystems is turned off, assures stability of the decentralized learning in the coupled system, provided that the sample time in the digital learning controller is sufficiently short.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제16권2호
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• pp.107-123
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• 2012

A group of twenty-nine high school student-teachers were given a set of mathematical propositions focusing on shape-to-shape transformations. Their task was to determine through hands-on manipulation and use of dynamic software that each shape be transformed into an area equivalent rectangular region. This paper reports on a classroom-based research.

• 한국전문물리치료학회지
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• 제10권3호
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• pp.1-15
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• 2003

The purpose of this study was to assess the effect of visual block (eyes open or closed), mental task type, and participation in an exercise program on static balance in the elderly. The subjects were 34 elderly (>65 years old) residents of a social welfare institute in Gyeonggi-do. We measured the following variables. Berg balance scale, mini mental state examination, balance performance monitor (sway area, path, and maximal sway velocity), age, weight, height and whether the subject participated in an exercise program. Scores for the Berg balance scale and mini mental state examination were evaluated to assess static balance ability either alone (single task paradigm) or while performing a mental task (dual task paradigm). Static balance variables that were measured included sway area, path, and maximal sway velocity. Each test was repeated three times. Multiple regressions analysis was used to examine the effect of each variable on static balance ability. For the dual task paradigm, static balance was affected by whether the subject participated in an exercise program. The Berg balance scale score for subjects with their eyes open was affected by whether they participated in an exercise program, while this variable in addition to the height and weight of subjects were determining variables in subjects with their eyes closed. As a result, whether subjects participated in an exercise program affected their static balance irrespective of whether their eyes open or closed. Therefore, regular exercise is recommended for elderly people and further research is needed to examine the relationship between static and dynamic balance while performing mental tasks such as cognition and attention.