• Journal of The Korean Association For Science Education
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• v.30 no.1
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• pp.13-26
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• 2010

The purpose of the study was to investigate the effect of observation knowledge generation based on a scientific observation strategy in 6th grade students. In this study, we selected the topics related to the observation in elementary science curricula and developed worksheets and guidelines such that subjects accomplished the systematic observation based on the method and strategy of the observation knowledge generation. Seventy-five 6thgraders, 38 for the experimental group and 37 for the control group, were chosen for this study. The experimental group was taught the science lessons with 14 sessions based on the generation of various scientific observation types, whereas the control group was provided with traditional lessons. Before and after the treatment, a candle-burning task was set for subjects to test the effect of the lessons of scientific observation knowledge generation. According to the results, subjects in the experimental group were more effective in the generation of various observations than subjects in the traditional one. The observation abilities of the experimental group was shown statistically to have a significantly higher performance in richness and the diversity. In addition, they showed higher scores in the scientific observation ability task than the control one. Therefore, the systematic lesson strategy in scientific observation is presumably effective to improve students' ability of scientific observation knowledge generation.

• Advances in robotics research
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• v.2 no.1
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• pp.99-112
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• 2018

The main contribution of this work is the design of a field programmable gate array (FPGA) based ARX-Laguerre proportional-integral observation (PIO) system for fault detection and identification (FDI) in a multi-input, multi-output (MIMO) nonlinear uncertain dynamical robot manipulators. An ARX-Laguerre method was used in this study to dynamic modeling the robot manipulator in the presence of uncertainty and disturbance. To address the challenges of robustness, fault detection, isolation, and estimation the proposed FPGA-based PI observer was applied to the ARX-Laguerre robot model. The effectiveness and accuracy of FPGA based ARX-Laguerre PIO was tested by first three degrees of the freedom PUMA robot manipulator, yielding 6.3%, 10.73%, and 4.23%, average performance improvement for three types of faults (e.g., actuator fault, sensor faults, and composite fault), respectively.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.13 no.2
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• pp.73-80
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• 2014

A camera module that gathers visual information via aerial observation reconnaissance is equipped inside a gimbal structure. This gimbal structure system must reduce dynamic responses in order to obtain clear images under all circumstances. Among many design specifications for this system, there is MIL-STD-810G as a shock standard. This specification indicates a limitation of the acceleration of the camera module under a base shock excitation on the gimbal structure. The satisfaction of this condition can usually be proved by experiment, because it includes bearings and dynamic isolators made of rubber. Numerical analysis must be proposed for design improvement of the gimbal structure. To achieve this goal, transient response analysis for the base shock excitation was performed using the finite element method. Experimental results were compared with numerical solutions and it is shown that the present method is useful.

• Corrosion Science and Technology
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• v.22 no.4
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• pp.265-272
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• 2023

The aim of this study was to develop a new in-situ observation method and instrument in micro-scale to investigate the mechanism of stress corrosion cracking (SCC) initiation of Ni-base alloys in a high temperature water environment of pressurized water reactors (PWRs). A laser confocal microscope (LCM), an autoclave with diamond window view port, and a slow strain-rate tester with primary water circulation loop system were components of the instrument. Diamond window, one of the core components of the instrument, was selected based on its optical, chemical, and mechanical properties. LCM was used to observe the specimen in micro-scale, considering the experimental condition of a high-temperature primary water environment. Using in-situ method and instrument, it is possible to observe oxidation and deformation of specimen surface in micro-scale through the diamond window in a high-temperature primary water in real-time. The in-situ method and instrument developed in this work can be utilized to investigate effects of various factors on SCC initiation in a high-temperature water environment.

• Journal of The Korean Society of Integrative Medicine
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• v.1 no.3
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• pp.19-28
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• 2013

Purpose : The purpose of this study was to find out the impact of action-observation training and task-oriented training on activities of daily living performance of stroke patients. Method : 30 stroke patients hospitalized in D hospital located in Busan and treated were randomly allocated to Action-Observation Training Group and Task-Oriented Training Group in fifteens. To compare activities of daily living performance before and after therapy intervention, Korea-modified Barthel index (K-MBI) was carried out. Result : In both groups, activities of daily living performance of stroke patients before and after therapy intervention showed statistically significant differences (p<.05) and activities of daily living performance between two groups after therapy intervention showed statistically significant differences. Conclusion : It was found that action-observation training and task-oriented training improved activities of daily living performance of stroke patients. It is considered that the application of action-observation training and task-oriented training to clinical occupational therapy will show a positive effect on the improvement of activities of daily living performance.

• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.126-136
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• 2022

The purpose of this study is to investigate the application experience and observation of young children's teachers' digital devices. The participants of this study were 6 young children teachers using digital devices. Individual interviews were conducted as a data collection method. It was conducted 2-3 times per research participant. Data collection was conducted from November to December 2020. The Data analysis was focused on the young children's teachers' digital device application experience and observation use. 'Easy and simple use', 'using existing familiar apps', 'providing healing to teachers', and 'improving the utilization of spare time' were derived as early childhood teachers' experience of applying digital devices. 'Easy use of observation records', 'Use together in various ways', 'Use for parent counseling', 'Use appropriate for observation of revised Nuri Curriculum' through early childhood teacher's experience of observing digital devices ' was derived. As a conclusion of this study, first, it is easy for young children's teachers to apply digital devices to the field. Second, if young children's teachers use digital devices, they can make a wide range of observations, enabling high-quality early childhood education practices.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.9
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• pp.773-777
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• 2016

In this paper, a novel multi-object tracking method to track an unknown number of objects is proposed. To handle multiple object states and uncertain observations efficiently, a probability hypothesis density (PHD) filter is adopted and modified. The PHD filter is capable of reducing false positives, managing object appearances and disappearances, and estimating the multiple object trajectories in a unified framework. Although the PHD filter is robust in cluttered environments, it is vulnerable to false negatives. For this reason, we propose to exploit local observations in an RFS of the observation model. Each local observation is generated by using an online trained object detector. The main purpose of the local observation is to deal with false negatives in the PHD filtering procedure. The experimental results demonstrated that the proposed method robustly tracked multiple objects under practical situations.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.10a
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• pp.192-196
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• 2004

This paper proposes an alternative observation scheme, T-S fuzzy model based indirect adaptive fuzzy observer. Nonlinear systems are represented by fuzzy models since fuzzy logic systems are 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.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.7
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• pp.927-933
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• 2004

This paper proposes an alternative observation scheme, T-S fuzzy model based indirect adaptive fuzzy observer. Nonlinear systems are represented by fuzzy models since fuzzy logic systems are 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.

• 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.