• Journal of Power Electronics
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• v.11 no.5
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• pp.697-703
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• 2011

In this paper a control system with a high performance dynamic response for linear induction motors (LIMs) is proposed which takes into account the end-effect in both the machine model and the control system. Primary flux oriented control has two major drawbacks i.e. a lack of decoupling of the thrust and the flux and a possibility of system instability due to the end-effect. Both of these drawbacks have been dealt with in this paper. A flux estimation method is proposed to correct the flux orientation error caused by the end effect. Extensive motor performance evaluations under the proposed control system prove its superiority over conventional vector control.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2001.11a
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• pp.1-7
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• 2001

To do performance evaluations about inorganic permanent form mixed in admixture(fly ash, silica fume) and after placed concrete, it is examined reinforcement materials in the permanent form from shear strength, bond strength and flexural strength tests. In this study, permanent form was inserted with reinforcement metal fitting is strength-tested in several method. The result of this study is belows. (1) In bond strength test, Most specimens are satisfied with criterion-6 kgf/$cm^2$. (2) Irrelative with the inserted metal fitting's shape, unevenness and aggregate, Permanent form and after placed concrete have good condition in the shear strength test. (3) In flexural test, there is no drop out of permanent form. Most cracks are located in nearby the strain point.

• Journal of the Korean Society of Combustion
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• v.18 no.3
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• pp.61-67
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• 2013

This study introduces the design methods for air flow distribution at the level of preliminary design, and reviews the typical combustion process and main functions of sub-components of aircraft gas turbine combustors. There are lots of design approaches and empirical equations introduced for air flow distributions at the combustors. It is shown that a decision on which design approaches work for the combustor development is totally dependent upon the objective of engine design, target performance, and so on. The current results suggested for preliminary air flow distributions need to be validated by combustor geometry checkups and performance evaluations for future works.

• Journal of Korea Multimedia Society
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• v.24 no.10
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• pp.1319-1325
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• 2021

It is important to remove fog for accurate object recognition and detection during preprocessing because images taken in foggy adverse weather suffer from poor quality of images due to scattering and absorption of light, resulting in poor performance of various vision-based applications. This paper proposes an end-to-end deep learning-based single image de-fogging method using U-Net architecture. The loss function used in the algorithm is a loss function based on Mahalanobis distance with fog features, which solves the problem of domain shifts, and demonstrates superior performance by comparing qualitative and quantitative numerical evaluations with conventional methods. We also design it to generate fog through the VGG19 loss function and use it as the next training dataset.

• Journal of Korea Multimedia Society
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• v.22 no.6
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• pp.706-715
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• 2019

This research implemented grammatical rules for relationship extraction from class diagram candidate. The problem statement is generated by our algorithm to yield class diagram and candidate relationship candidates. The relationships of class diagrams are extracted automatically from the problem statement by using Natural Language Processing (NLP). The extraction used the grammatical rules that obtained from various sources and translated into our algorithm. The performance evaluation of the extraction algorithm used ATM problem statements. The application captures the problem statement and draws automatically the relations of class diagrams using Forced-Directionality Graph algorithm. The performance evaluations show refining methods for class diagram and relationships extraction improve recall score.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.06a
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• pp.63-66
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• 2018

Recently, a convolutional neural network (CNN) models at single image super-resolution have been very successful. Residual learning improves training stability and network performance in CNN. In this paper, we compare four convolutional neural network models for super-resolution (SR) to learn nonlinear mapping from low-resolution (LR) input image to high-resolution (HR) target image. Four models include general CNN model, global residual learning CNN model, local residual learning CNN model, and the CNN model with global and local residual learning. Experiment results show that the results are greatly affected by how skip connections are connected at the basic CNN network, and network trained with only global residual learning generates highest performance among four models at objective and subjective evaluations.

• International Journal of Naval Architecture and Ocean Engineering
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• v.12 no.1
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• pp.711-722
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• 2020

An optimization framework using genetic algorithms has been developed towards an automated parametric optimization of the Octabuoy semi-submersible design. Compared with deep draft production units, the design of the shallow draught Octabuoy semi-submersible provides a floating system with improved motion characteristics, being less susceptible to vortex induced motions in loop currents. The relatively large water plane area results in a decreased natural heave period, which locates the floater in the wave period range with more wave energy. Considering this, the hull design of Octabuoy semi-submersible has been optimized to improve the floater's motion performance. The optimization has been conducted with optimized parameters of the pontoon's rectangular cross section area, the cone shaped section's height and diameter. Through numerical evaluations of both the 1st-order and 2nd-order hydrodynamics, the optimization through genetic algorithms has been proven to provide improved hydrodynamic performance, in terms of heave and pitch motions. This work presents a meaningful framework as a reference in the process of floating system's design.

• Therapeutic Science for Rehabilitation
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• v.13 no.1
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• pp.75-86
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• 2024

Objective : The purpose of this study was to examine the effects of an occupational therapy program on the school readiness, focusing on adaptation skills and daily life skills, in children with developmental delays. Methods : The study involved a boy with developmental delay, aged 5 years and 8 months. The program was conducted twice a week, with a total of 8 sessions spread over 4 weeks. The Canadian Occupational Performance Measure (COPM) was employed, targeting class preparation and use of the toilet. Pre-post tests and follow-up evaluations were carried out to compare changes. Data analysis involved video recordings of the subject's performance. Results : The COPM results indicated improvements in both the performance and satisfaction levels for class preparation and toilet use. Processing skills showed seven improvements in class preparation and eight improvements in toilet use during post-testing. Activity performance observations further confirmed improvements in both class preparation and toilet use during post-test and follow-up evaluations. Conclusion : Occupational therapy improves school readiness (adaptation skill, daily living activity skill) for children with developmental delays, and has a positive effect on overall school readiness.

• Korean Journal of Human Ecology
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• v.12 no.5
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• pp.669-685
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• 2003

This research examined the work performance by consumer counselors, evaluations of their counseling work, the level of their satisfaction, and willingness to sustain consumer counseling work among Consumer Agencies and also identified the variables influencing the evaluation scores on those. The results were summarized as follows. First, the evaluation scores on the work performance of consumer counseling were generally high and they turned out to be generally satisfied with their work. On the other hand, most counselors responded that they would continue their counseling work. Second, there were differences in evaluation scores about speed and specialized area of counseling among Consumer Agencies. Counselors who worked for the Korea Consumer Protection Board recorded high scores in those both criteria. There were differences in the willingness of counselors to continue their counseling work among Consumer Agencies, too. Third, the evaluation scores in six areas of counseling tasks were high when the degree of satisfaction of counselors were high or when agencies treated the counseling important. Fourth, when counselors earned more salaries and owned the experience of in-firm training and when the Consumer Agencies highly valued counseling as consumer tasks, the degree of satisfaction among counselors increased. Finally, when counselors were old, major in consumer science, and held regular work-schedule, they exhibited high degree of satisfaction in their counseling work and they showed greater willingness to sustain their counseling work.

• Journal of Mechanical Science and Technology
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• v.17 no.12
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• pp.1855-1866
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• 2003

This paper discusses an entire procedure for a robust controller design and its implementation of an AMB (active magnetic bearing) spindle, which is part II of the papers presenting details of system modeling and robust control of an AMB spindle. Since there are various uncertainties in an AMB system and reliability is the most important factor for applications, robust control naturally gains attentions in this field. However, tight evaluations of various uncertainties based on experimental data and appropriate performance weightings for an AMB spindle are still ongoing research topics. In addition, there are few publications on experimental justification of a designed robust controller. In this paper, uncertainties for the AMB spindle are classified and described based on the measurement and identification results of part I, and an appropriate performance weighting scheme for the AMB spindle is developed. Then, a robust control is designed through the mixed ${\mu}$ synthesis based on the validated accurate nominal model of part I, and the robust controller is reduced considering its closed loop performance. The reduced robust controller is implemented and confirmed with measurements of closed-loop responses. The AMB spindle is operated up to 57,600 rpm and performance of the designed controller is compared with a benchmark PID controller through experiments. Experiments show that the robust controller offers higher stiffness and more efficient control of rigid modes than the benchmark PID controller.