• Journal of the Korean Society of Physical Medicine
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• v.12 no.1
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• pp.67-74
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• 2017

PURPOSE: The purpose of this study was to determine the effect of action observation with observation type on the limits of stability and dynamic gait ability in stroke patients. METHODS: The 20 stroke patients who participated in this study were randomly divided into two experimental groups who underwent training three times a week for 4 weeks. Their balance was tested as the limit of stability with Biorescue. Their Dynamic gait ability was tested with the Dynamic Gait Index (DGI) before the intervention, and after 4 weeks. Independent and paired t-tests were used to analyze the results. RESULTS: The results confirmed the limit of stability on the moving areas of the paralyzed and non-paralyzed sides. The limit of stability and dynamic gait index measurements confirmed that the moving area showed a significant difference after the intervention in the whole movement observation group (p<.05), but the partial movement observation group showed no significant difference (p>.05). A significant difference was also noted for the comparison between the both groups after the interventions (p<.05). The functional walking ability showed a significant difference when compared to the ability before the intervention, as determined by the changes in scores obtained for the dynamic gait index (p<.05). CONCLUSION: Interventions utilizing whole movement confirm that training improves stability and functional walking ability in stroke patients with disabilities in balance and walking ability.

• PNF and Movement
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• v.17 no.2
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• pp.245-252
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• 2019

Purpose: The purpose of this study was to determine the effects of action observation training on lower limb muscle activity and dynamic balance in chronic stroke patients. Methods: This study evaluated 20 chronic stroke patients who were divided randomly into a control and an experimental group comprising 10 patients each. Both the experimental group and the control group performed the general exercise therapy provided by the hospital, but the experimental group also performed action observation training. Lower limb muscle activity was measured with a surface electromyograph, and dynamic balance was measured with the Timed Up and Go test and the 10-meter walk test. The paired t-test was used to compare the groups before and after the experiment. Furthermore, the independent t-test was used to assess differences in the degree of change between the two groups before and after the experiment. Results: The within-group comparisons for both the experimental group and the control group showed significant differences in muscle activity and dynamic balance (p<0.05). In a comparison between the groups, the differences in the muscle activity and dynamic balance of the experimental group appeared significant compared with those of the control group (p<0.05). Conclusion: The study results indicate that action observation training is effective in improving the muscle activity and dynamic balance of chronic stroke patients.

• Journal of the Korean Society for Precision Engineering
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• v.33 no.8
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• pp.617-622
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• 2016

The article describes the determination of the dynamic stability for an observation antenna, considering the rotational speed by the payload driving motor. A finite element model of the observation antenna was made using the solid and beam elements. The connecting parts between the solid and the beam was adequately coupled. The boundary conditions were made by restriction of the degree of freedoms in the supporting points. With the comparison between the modal analysis results and the rotating speed of the payload driving motor, no resonance for the structure of antenna was identified and first natural frequency was determined under 33 Hz (Seismic Cut-Off Frequency). Therefore, the dynamic stability of the antenna was confirmed by the comparism between the seismic safety criterion and the stress results of the dynamic analysis applied the loading conditions and required response spectrum (RRS).

• Journal of the Korean Magnetics Society
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• v.5 no.5
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• pp.885-891
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• 1995

This paper discussed on the observation of dynamic domain patterns using Lorentz SEM in the frequency region of 50 Hz-10 kHz. The observed dynamic domain patterns were compared with the simulated ones. The observation rrethod is characterized by using the slight difference between the exciting frequency and the multiples of the scannning frequency of SEM.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.4
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• pp.964-969
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• 2008

This paper proposes a HMM-based recognition method using DMSVQ(Dynamic Multi-Section Vector Quantization) codebook by DMS(Dynamic Multi-Section) model and fuzzy concept, as a study for speaker- independent speech recognition. In this proposed recognition method, training data are divided into several dynamic section and multi-observation sequences which are given proper probabilities by fuzzy rule according to order of short distance from DMSVQ codebook per each section are obtained. Thereafter, the HMM using this multi-observation sequences is generated, and in case of recognition, a word that has the most highest probability is selected as a recognized word. Other experiments to compare with the results of recognition experiments using proposed method are implemented as a data by the various conventional recognition methods under the equivalent environment. Through the experiment results, it is proved that the proposed method in this study is superior to the conventional recognition methods.

• IEMEK Journal of Embedded Systems and Applications
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• v.3 no.2
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• pp.109-118
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• 2008

We present a robust localization algorithm using particle filter for mobile robots in a dynamic environment. It is difficult to describe moving obstacles like people or other robots on the map and the environment is changed after mapping. A mobile robot cannot estimate its pose robustly with this incomplete map because sensor observations are corrupted by un-modeled obstacles. The proposed algorithms provide robustness in such a dynamic environment by suppressing the effect of corrupted sensor observations with a selective update or a sampling from non-corrupted window. A selective update method makes some particles keep track of the robot, not affected by the corrupted observation. In a sampling from non-corrupted window method, particles are always sampled from several particle sets which use only non-corrupted observation. The robustness of proposed algorithm is validated with experiments and simulations.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10a
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• pp.523-528
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• 1990

This paper discusses the problem of designing an observation function as coarsest as possible in supervisory control of discrete event dynamic systems. Some algebraic properties of two sets consisting of observation functions for which the given desirable behavior is realizable are investigated:these sets with a partial ordering turn out not to possess largest elements. Two natural methods of obtaining an observation function, which is frequently coarser than the identity mapping, are also presented. An example illustrates the use of these methods.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.58 no.2
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• pp.164-171
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• 2009

This paper presents new learning algorithm of dynamic Bayesian networks (DBN) by means of constrained least square (LS) estimation algorithm and gradient descent method. First, we propose constrained LS based parameter estimation for a Markov chain (MC) model given observation data sets. Next, a gradient descent optimization is utilized for online estimation of a hidden Markov model (HMM), which is bi-linearly constructed by adding an observation variable to a MC model. We achieve numerical simulations to prove its reliability and superiority in which a series of non stationary random signal is applied for the DBN models respectively.

• Communications for Statistical Applications and Methods
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• v.10 no.3
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• pp.795-804
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• 2003

In this article, a tomography for the estimation of the origin-destination(OD) traffic intensities in dynamic routing network is considered. Vardi(1996)'s approach based on fixed route is not directly applicable to dynamic routing protocols, which arises from the fact that we cannot access the route at every observation time. While it uses link-wise traffics as the observations, the proposed method considers the triple of ingress/outgress/relayed traffics data at each node so that we can transform the problem into a routing-independent tomography. An EM algorithm for implementation and some simulated experiments are provided.

• Journal of Korean Society for Quality Management
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• v.19 no.2
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• pp.1-16
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• 1991

Recently, Cook and Weisberg(l989) presented dynamic graphics for regression diagnostics. They suggested animating graphics which could aid to understanding the effects of adding a variable to a model. In this paper, using the Cook and Weisberg's idea of animation, we propose a dynamic graphical method for residuals to display the effects of removing an observation from a model. Based on the information obtained from these animating graphics, it is possible to see the influence of outliers on influencial observations for regression diagnostics.