• Physical Therapy Korea
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• v.10 no.1
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• pp.29-35
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• 2003

Body weight support treadmill training is a new and promising therapy in gait rehabilitation of patients with hemiplegia. The purpose of this study was to identify the effects of body weight support treadmill training on gait and standing balance in patients with hemiplegia. Eighteen patients with hemiplegia participated in the study. A 10 m-timed walk test, measurements of step length and standing balance score were administered. Intervention consisted of body weight support treadmill training five times a week for 2 weeks. The data were analyzed by paired t-test. Body weight support treadmill training scoring of standing balance, step length and 10 m-timed walk test showed a definite improvement. Body weight support treadmill training offers the advantages of task-oriented training with numerous repetitions of a supervised gait pattern. The outcomes suggest that patients with hemiplegia can improve their gait ability and standing balance through body weight support treadmill training.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2003.04a
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• pp.215-222
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• 2003

The new square electro-magnetic chuck, which is using for the clamping devices on a grinding machine, is developed in this study to improve the convenience of grinding works. The various kinds of structures are recommended to find the most adequate magnetic characteristics through the analytical approach using finite element methods. The analyzed results are retrofitted to solve the drawbacks of previous models step by step by considering the magnetic fields, strength and distribution of drag force, and thermal deformations of chuck. such as high parallelism and flatness. Finally the best recommended models is designed to satisfy the KS specifications required for the commercial magnetic chuck. The prototype chuck with this dimensions and structures is manufactured. For this final model, the experimental verifications are investigated whether the KS specifications are satisfied.

• Korean Journal of Computational Design and Engineering
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• v.8 no.4
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• pp.201-211
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• 2003

Collaborative product commerce (CPC) is a newly emerging technology to support inter-enterprise collaboration through the product life-cycle. From the IT point of view, CPC is software technology to integrate product, process and resources of different enterprises using Web technologies. In this paper, we introduce a CPC framework for integrating product information across enterprises, which being developed as a part of the CPC project by ETRI. The product metadata represented by XML schema, which is compatible with ISO STEP PDM Schema standard, is presented to semantically and schematically integrate distributed product information. The web services technologies are discussed to support the interoperability of application systems related to the product development, such as CAD and PDM, where most of these applications run in a distributed environment. Finally, we implement the frame-work to integrate distributed product information.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10a
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• pp.176-181
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• 1992

In this paper, an adaptive generalized predictive control(GPC) algorithm which minimizes a N-stage cost function is proposed. The resulting controller is based on GPC algorithm and can be used in unknown plant parameters as the parameters of one step ahead predictor are estimated by recursive least squares method. The estimated parameters are extended to G,P, and F amtrix which contain the parameters of N step ahead predictors. And the minimization of cost function assuming no constraints on future controls results in the projected control increment vector. Hence this adaptive GPC algorithm can be used for either unknown system or varing system parameters, and it is also shown through simulations that the algorithm is robust to the variation of system parameters. This adaptive GPC scheme is shown to have the same stability properties as the deterministic GPC, and requires small amount of calculation compared to other adaptive algorithms which minimize N-stage cost function. Especially, in case that the maximum output horizon is 1, the proposed algorithm can be applicable to direct adaptive GPC.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10a
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• pp.823-828
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• 1992

A novel steepest descent adaptive filter algorithm, which uses the instantaneous stochastic gradient for the steepest descent direction, is derived from a newly devised performance index function. The performance function for the new algorithm is improved from that for the LMS in consideration that the stochastic steepest descent method is utilized to minimize the performance index iterativly. Through mathematical analysis and computer simulations, it is verified that there are substantial improvements in convergence and misadjustments even though the computational simplicity and the robustness of the LMS algorithm are hardly sacrificed. On the other hand, the new algorithm can be interpreted as a variable step size adaptive filter, and in this respect a heuristic method is proposed in order to reduce the noise caused by the step size fluctuation.

• Journal of the Korean Institute of Telematics and Electronics
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• v.24 no.6
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• pp.1049-1055
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• 1987

This paper describes a near-optimal standard cell layout strategy which consists of three consecutives steps` partition, placement, and routing. In the partition step, a given network is torn apart into many subnetworks such that each subnetworks contains as many cells as possible with minimum interocnnections between subnetwork. In the placement step, the conventional string placement algorithm was modified. Also, bonding pads were placed such that their connections to the related cells are shortest. As a result for the tested example, the placement time was saved by 60% and the total routing lengths were saved by more than 20% and substantial improvements in the number of feed-through cell and the track density were obtained. The layout program is coded in PASCAL and implemented on a VAX 11-750/UNIX computer.

• Journal of the Korea Society of Computer and Information
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• v.22 no.8
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• pp.101-106
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• 2017

In this paper, we propose a new teaching-learning model with two-step feedback on programming language learning, which is a basic preliminary learning for programming. Programming learning is aimed at improving problem solving skills and thinking by experiencing problem solving through programming. For programming, the learner must know how to work with the computer and what to do with it. To do this, concrete thinking should be established and described in an accurate programming language. In recent, most studies have focused on the effects of programming learning and have not studied the effects of education on language itself. Therefore, in this study, the teaching-learning model for programming language education is presented and applied to the field, and the results are compared with the existing instructional-teaching model.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.22-25
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• 2007

Industry faces a considerable challenge to meet the high demand for reduced impacts and improved environmental performance. With this current stream, railway industry launched a systematic scheme for environmental friendly EMU and its system. An assessment tool which evaluate the environmental impacts of the product through its entire life cycle has been developed. The next step to environmentally sound and sustainable product design, shortly ECODESIGN has come to be essential and necessary as well. Ecodesign requires to identify possible stakeholder requirements first. The paper illustrates way how to define stakeholder requirements in terms of environment and shows approach linking stakeholder requirements to environmental parameters.

• Journal of Sensor Science and Technology
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• v.23 no.1
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• pp.66-71
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• 2014

Vision is the most important sensing capability for both men and sensory smart machines, such as intelligent robots. Sensed real 3D world and its 2D camera image can be related mathematically by a process called camera calibration. In this paper, we present a novel linear solution of camera calibration. Unlike most existing linear calibration methods, the proposed technique of this paper can identify camera parameters explicitly. Through the step-by-step procedure of the proposed method, the real physical elements of the perspective projection transformation matrix between 3D points and the corresponding 2D image points can be identified. This explicit solution will be useful for many practical 3D sensing applications including robotics. We verified the proposed method by using various cameras of different conditions.

• Journal of the Korean Society for Precision Engineering
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• v.20 no.10
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• pp.199-207
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• 2003

The Timoshenko beam model has been known as the most accurate model for representing beam structures. However, the Timoshenko beam model may give rise to a significant error when it is applied to multi-stepped beam structures. This paper is intended to demonstrate the modeling error of Timoshenko beam based finite element model for multi-stepped beam structures and to suggest a new modeling method to improve the accuracy. A tentative bending spring is introduced into the stepped section to represent the softening effect due to the presence of step. This paper also proposes a finite element modeling method in the light with the tentative bending spring model for the step softening effect. The proposed method rigorously adapts computation results from a commercial finite element code. The validity of the proposed method is demonstrated through a series of simulation and experiment.