• The Korean Journal of Applied Statistics
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• v.22 no.3
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• pp.479-488
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• 2009

The ${\kappa}$-Nearest Neighbors Classification(KNNC) is a popular non-parametric classification method which assigns a fixed number ${\kappa}$ of neighbors to every observation without consideration of the local feature of the each observation. In this paper, we propose an Adaptive Nearest Neighbors Classification(ANNC) as an alternative to KNNC. The proposed ANNC method adapts the number of neighbors according to the local feature of the observation such as density of data. To verify characteristics of ANNC, we compare the number of misclassified observation with KNNC by Monte Carlo study and confirm the potential performance of ANNC method.

• Proceedings of the IEEK Conference
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• summer
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• pp.348-353
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• 2004

This paper proposes an alternative observation scheme, T-S fuzzy model based indirect adaptive fuzzy observer. Nonlinear systems arc represented by fuzzy models since fuzzy logic systems arc universal approximators. In order to estimate the unmeasurable states of a given nonlinear system, T-S fuzzy modeling method is applied to get the dynamics of an observation system. T-S fuzzy system uses the linear combination of the input state variables and the modeling applications of them to various kinds of nonlinear systems can be found. The adaptive fuzzy scheme estimates the parameters comprising the fuzzy model representing the observation system. The proposed indirect adaptive fuzzy observer based on T-S fuzzy model can cope with not only unknown states but also unknown parameters. In the process of deriving adaptive law, the Lyapunov theory and Lipchitz condition are used. To show the performance of the proposed observation method, it is applied to an inverted pendulum on a cart.

• IEMEK Journal of Embedded Systems and Applications
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• v.6 no.1
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• pp.16-24
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• 2011

Automotive Radar Systems are currently under development for various applications to increase accuracy and reliability. The target tracking is most important in single or multiple target environments for accuracy. The tracking algorithm provides smoothed and predicted data for target position and velocity(Doppler). To this end, the fixed gain filter(${\alpha}{\beta}$ filter, ${\alpha}{\beta}{\gamma}$ filter) and dynamic filter(Kalman filter, Singer-Kalman filter, etc) are commonly used. Gating is used to decide whether an observation is assigned to an existing track or new track. Gating algorithms are normally based on computing a statistical error distance between an observation and prediction. The data association takes the observation-to-track pairings that satisfied gating and determines which observation-to-track assignment will actually be made. For data association, NNPDA(Nearest Neighbor Probabilistic Data Association) algorithm is proposed. In this paper, we designed a target tracking system developed for an Automotive Radar System. We show the experimental results of the 77GHz FMCW radar sensor on the roads. Four tracking algorithms(${\alpha}{\beta}$ filter, ${\alpha}{\beta}{\gamma}$ filter, 2nd order Kalman filter, Singer-Kalman filter) have been compared and analyzed to evaluate the performance in test scenario.

• Journal of the Korean Society of Physical Medicine
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• v.14 no.1
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• pp.7-14
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• 2019

PURPOSE: This study examined the effects of observing a self-video or a video of another person performing balance and gait training, followed by actual performance of the observed movements on the balance and walking ability of chronic stroke patients. METHODS: Thirty patients, who had experienced a stroke and were admitted to S rehabilitation hospital for treatment, were selected randomly and divided into three groups with 10 patients each: self-action observation (SAO) group, other-action observation (OAO) group, and treadmill walking training (TWT) group. The training program was conducted five times per week for four weeks. The GAITRite system, 10 m walking test, and timed up and go test were performed to measure the subjects' gait and balance ability. RESULTS: The velocity, cadence, double support, and stride length were increased significantly in the SAO and OAO groups (p<.05) but the T group showed no significant changes; no significant difference was observed among the groups (p >.05). The 10MWT decreased significantly in the OAO group (p<.05), but there were no significant changes in the SAO and T groups, and no significant difference was observed among the groups (p>.05). The TUG decreased significantly in the SAO and OAO groups (p<.05), but there were no significant changes in the T group, and no significant difference was observed among the groups (p>.05). CONCLUSION: The self or other action observation training helps improve the balance and gait ability.

• Journal of Environmental Science International
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• v.27 no.11
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• pp.1141-1154
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• 2018

Numerical experiments were carried out to investigate the effect of data assimilation of observational data on weather and PM (particulate matter) prediction. Observational data applied to numerical experiment are aircraft observation, satellite observation, upper level observation, and AWS (automatic weather system) data. In the case of grid nudging, the prediction performance of the meteorological field is largely improved compared with the case without data assimilations because the overall pressure distribution can be changed. So grid nudging effect can be significant when synoptic weather pattern strongly affects Korean Peninsula. Predictability of meteorological factors can be expected to improve through a number of observational data assimilation, but data assimilation by single data often occurred to be less predictive than without data assimilation. Variation of air pressure due to observation nudging with high prediction efficiency can improve prediction accuracy of whole model domain. However, in areas with complex terrain such as the eastern part of the Korean peninsula, the improvement due to grid nudging were only limited. In such cases, it would be more effective to aggregate assimilated data.

• Journal of the Korean Society of Physical Medicine
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• v.11 no.2
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• pp.83-91
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• 2016

PURPOSE: The purpose of this study was to determine the efficacy of dual-task action observation training (AOT) and single-task AOT related with daily living task on walking ability and ADL performance in chronic stroke patients. METHODS: Twenty-seven chronic stroke subjects were included in the study. They were randomly assigned to three task categorieds as follows: whole dual-task AOT or partial dual-task AOT or single-task AOT rehabilitation. Whole dual-task AOT observed the movement at once and partial dual-task AOT observed the movement divided into 4 parts related functional gait and activities of daily living task for 2 minutes 30 seconds. Single-task AOT observed the movement related functional gait for 2 minutes 30 seconds. Both groups had physical training session for 12 minutes 30 seconds. The study was conducted for four weeks, with three training sessions a week, for twelve weeks. All subjects were evaluated for their walking ability and activities of daily living through devices, 10m walking test (10MWT), dynamic gait index (DGI), and Korea-Modified Barthel Index (K-MBI). RESULTS: A significant improvement of walking ability and ADL performance happened among dual-task AOT subjects, compared with a single-task AOT subjects, during the 4-weeks course treatment. The results of the study showed statistically significant differences in 10MWT (p<0.05) and DGI (p<0.05), and K-MBI (p<0.05). CONCLUSION: Our results indicated that dual-task AOT has a positive additional impact on recovery of walking ability and ADL performance in chronic stroke patients.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.25 no.5
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• pp.313-320
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• 2015

A 2-axis gimbal-type X-band antenna has been widely used to effectively transmit the high resolution image data from the observation satellite to the desired ground station. However, a discontinuous stepper motor activation for rotating the pointing mechanism in azimuth and elevation directions induces undesirable micro-vibration disturbances which can result in the image quality degradation of a high-resolution observation satellite. To enhance the image quality of the observation satellite, attenuating the micro-vibration induced by an activation of the stepper motor for rotational movements of the antenna is important task. In this study, we proposed a low-rotational-stiffness blade gear applied to the output shaft of the stepper motor to obtain the micro-vibration isolation performance. The design of the blade gear was performed through the structure analysis such that this gear is satisfied with the margin of safety rule under the derived torque budget. In addition, the micro-vibration isolation performance of the blade gear was verified through the micro-vibration measurement test using the dedicated micro-vibration measurement device proposed in this study.

• Smart Structures and Systems
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• v.21 no.5
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• pp.705-713
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• 2018

High-speed rail (HSR) has been in operation and development in many countries worldwide. The explosive growth of HSR has posed great challenges for operation safety and ride comfort. Among various technological demands on high-speed trains, vibration is an inevitable problem caused by rail/wheel imperfections, vehicle dynamics, and aerodynamic instability. Ride comfort is a key factor in evaluating the operational performance of high-speed trains. In this study, online monitoring data have been acquired from an in-service high-speed train for condition assessment. The measured dynamic response signals at the floor level of a train cabin are processed by the Sperling operator, in which the ride comfort index sequence is used to identify the train's operation condition. In addition, a novel technique that incorporates salient features of Bayesian inference and time series analysis is proposed for outlier detection and change detection. The Bayesian forecasting approach enables the prediction of conditional probabilities. By integrating the Bayesian forecasting approach with time series analysis, one-step forecasting probability density functions (PDFs) can be obtained before proceeding to the next observation. The change detection is conducted by comparing the current model and the alternative model (whose mean value is shifted by a prescribed offset) to determine which one can well fit the actual observation. When the comparison results indicate that the alternative model performs better, then a potential change is detected. If the current observation is a potential outlier or change, Bayes factor and cumulative Bayes factor are derived for further identification. A significant change, if identified, implies that there is a great alteration in the train operation performance due to defects. In this study, two illustrative cases are provided to demonstrate the performance of the proposed method for condition assessment of high-speed trains.

• Journal of Korean society of Dental Hygiene
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• v.9 no.3
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• pp.439-455
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• 2009

The number of dental hygiene students is increasing as dental hygiene departments are extended or newly installed continuously, and in other to keep up with the quantitative increase, we need to standardize dental hygiene curriculums. The present study conducted a questionnaire survey with dental hygiene students who had completed clinical practice. The obtained results as follows. 1. According to the contents of clinical practice at dental clinics, the frequency of dental hygiene students' observation practice was high in basic medical service, dental prosthesis, and orthodontics. 2. The frequency of performance practice was high in basic medical service, oral medicine, preventive dentistry, pediatric dentistry, periodontology, and oral surgery. According to the area of clinical practice. 3. According to the contents of clinical practice at university hospitals, the frequency of dental hygiene students' observation practice was high in basic medical service, dental prosthesis, and orthodontics. 4. The frequency of performance practice was high in basic medical service, oral medicine, preventive dentistry, pediatric dentistry, periodontology, and dental prosthesis. 5. The students' satisfaction was high in basic medical service, oral medicine, preventive dentistry, and periodontology. The period of clinical practice varies according to school curriculum and circumstance among dental clinics and university hospitals where clinical practices are performed, students' satisfaction with their observation practice and performance practice may be different. Thus, for dental hygiene students' clinical practice, it is considered desirable to prepare integrated education programs that standardize the period and contents of clinical practice.

• Journal of the Korea Society for Simulation
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• v.30 no.1
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• pp.87-101
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• 2021

Required Operational Capability(ROC), which means the performance of a weapon system, is determined when estimating the requirements of a new weapon system. It is very important to define the ROC as it has a decisive influence from acquisition of a weapon system to tactical operation. In this study, we propose a simulation methodology to verify the ROC of the Para-Observation Munition(POM), a newly developed weapon system. To this end, we propose a discrete-event simulation model that takes main performance of the weapon system constituting the ROC and environmental factors that affect performance of the weapon system as input values, and outputs operational effect as a result value. It describes various simulation logic required to implement a simulation model, and explains how to verify ROC using various simulation results such as sensitivity analysis. POM is a weapon system that does not have a similar one and that is difficult to directly utilize the military analysis model. This study can be used as a methodology to analyze the ROC and predict operational effects of weapon systems such as POM.