• Korean Journal of Computational Design and Engineering
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• v.13 no.3
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• pp.209-216
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• 2008

This paper presents a novel approach to design evaluation of portable consumer electronic (PCE) products using augmented reality (AR) based tangible interaction and functional behavior simulation. In the approach, the realistic visualization is acquired by overlaying the rendered image of a PCE product on the real world environment in real-time using computer vision based augmented reality. For tangible user interaction in an AR environment, the user creates input events by touching specified regions of the product-type tangible object with the pointer-type tangible object. For functional behavior simulation, we adopt state transition methodology to capture the functional behavior of the product into a markup language-based information model, and build a finite state machine (FSM) to controls the transition between states of the product based on the information model. The FSM is combined with AR-based tangible objects whose operation in the AR environment facilitates the realistic visualization and functional simulation of the product, and thus realizes faster product design and development. Based on the proposed approach, a product design evaluation system has been developed and applied for the design evaluation of various PCE products with highly encouraging feedbacks from users.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.9
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• pp.1491-1499
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• 2008

This paper presents a study on reliability evaluation of a power system considering wind turbine generators (WTG) with multi-state. Renewable energy resources such as wind, wave, solar, micro hydro, tidal and biomass etc. are becoming importance stage by stage because of considering effect of the environment. Wind energy is one of the most successful sources of renewable energy for the production of electrical energy. But, reliability evaluation of generating system with wind energy resources is a complex process. While the wind turbine generators can not modelled as two-state model as like as conventional generators, they should be modelled as multi-state model due to wind speed random variation. The methodology for obtaining reliability evaluation index of wind turbine generators is different from it of the conventional generators. A method for making outage capacity probability table of WTG for reliability is proposed in this paper. The detail process is presented using case study of simple system.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.30 no.3
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• pp.215-222
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• 2017

In order to evaluate a stress state of concrete according to the change of tensile force of prestressed beam, improved nonlinear resonant ultrasonic spectroscopy(NRUS) method is proposed. This technique is advantageous to evaluate the stress state in initial state because the method shows much higher sensitivity than existing linear ultrasonic methods. The NRUS technique measure a nonlinearity parameter, which is calculated from the resonant frequency shift of ultrasonic wave related to the medium state, and the result is also closely related to the stress state of concrete. In this study, the nonlinearity parameter was measured with the change of tensile force to verify the close relationship between the two factors, and the effect of repetitive load cycle on the change of nonlinearity parameter was analyzed. In addition, sensitivity comparison with the linear ultrasonic pulse velocity method was performed. Through the experimental results, the possibility of NRUS technique for the evaluation of stress state in prestressed beam was confirmed.

• Korean Journal of Community Nutrition
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• v.18 no.3
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• pp.243-256
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• 2013

The purpose of this study was to evaluate the effectiveness of Centers for Child-care Foodservice Management (CCFSM)'s support on menu management in child-care centers and kindergartens by comparing two perspectives of pre-support vs. post-support and established vs. non-established. To evaluate dietary variety, we used methods that considered both Dietary Diversity Score (DDS) and Dietary Variety Score (DVS). For surveying pre-support and post-support state by CCFSM, we collected and analyzed menus of June and September, 2012, targeting 7 CCFSM supported institutions. Meanwhile, for surveying state in CCFSM established and non-established areas, we collected and analyzed menus of June, 2012, which were implemented in institutions in CCFSM established (181 places) and non-established (106 places) areas. The results of evaluation on the dietary support by CCFSM showed that post-supporting state by CCFSM (95.3%) was significantly higher than pre-supporting state (77.2%) (p < 0.001) and established areas (87.4%) were significantly higher than non-established ones (77.2%) (p < 0.05) on 'Meeting the DRI for infant'. Evaluation of dietary variety between pre- and post-support state by CCFSM showed that post-support state (total 77.3 point) was higher than pre-support state (total 76.4 point). Evaluation of dietary variety between established and non-established areas showed that established areas (total 81.1 point) were significantly higher than non-established ones (total 77.1 point) (p < 0.001). Therefore, it is considered that dietary support service conducted by CCFSM contributes to improve variety level of diet provided by child-care centers and kindergartens.

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.34-35
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• 2006

This paper presents an information collection and a novel inference technique for evaluation of power system operation state. In most developing countries, power demands are steadily increasing and consequently power systems are becoming larger and more complicated. In addition, power system deregulations further complicate the power system operational tasks, which are resulted in prevailing wide area blackouts worldwide. In this paper, we proposed an effective information collection and operating state evaluation methods using a knowledge-based system. The RTS-79 24 bus system is used as a test system. The power system model is composed with JESS templates and included in the knowledge-base as a part of fixed facts. Dynamic informations are collected from various analysis results and actual operational data. Inferences are performed with rules expressed with terms in different abstraction levels. Future research will be concentrated on intelligent contingency selections for preventing wide area blackouts.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.271-272
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• 2008

Renewable energy resources such as wind, wave, solar, micro hydro, tidal and biomass etc are becoming important stage by stage, considering the effect of environment. Wind energy is one of the most successful sources of renewable energy for the production of electrical energy. What's more, due to wind speed random variation the wind turbine generators can not make two-state model as conventional generators. The method of obtaining reliability evaluation indices of wind turbine generators is different from the conventional generators. This paper presents a study on the reliability evaluation of power system considering wind turbine generators with a simplified multi-state model.

• Transactions of the Korean Society of Automotive Engineers
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• v.9 no.4
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• pp.139-147
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• 2001

2 DOF half-car model with 6 semi-active suspension units is utilized to evaluate the tracked vehicle dynamic performance simulated by several suspension control algorithms. The target of this research is to improve the ride comfort to maintain operator's handling capability when the tracked vehicle travels fast on the rough road. The control algorithms for suspension systems, such as full state feedback active, full state feedback semi-active, sky-hook active, sky-hook semi-active, and on-off systems, are evaluated and analyzed in view point of ride comfort. The dynamic performances of vehicle are expressed and evaluated by vibratory characteristic evaluation curves, performance indices and frequency characteristic curves. The simulation results show that the performances of sky-hook algorithms for ride comfort nearly follow those of full state feedback algorithms and on-off algorithm is recommendatory when the vehicle runs relatively fast.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2000.10a
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• pp.159-165
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• 2000

A new state evaluation approach for structural safety is presented in this study. To reduce the subjectivity of the view and judgement of each expert founded on a limited body of knowledge in cognitive and inferential process of safety assessment, we introduced inductive learning method in AI. Inductive learning derives generalization from experiences. Decision tree induction algorithm analyzes the domain knowledge, produce rules via decision trees and then allow us to determine the classification of an object from case examples. The training set of state evaluation is constructed according to the selected attributes from working reports of RC bridge girders.

• The Transactions of the Korean Institute of Power Electronics
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• v.25 no.6
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• pp.496-502
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• 2020

The reliability of a solid-state transformer (SST) is one of the important aspects to consider when replacing a conventional low-frequency passive transformer with SST for urban railway vehicles. Lifetime evaluation of SST in the design phase is therefore essential in guaranteeing a certain SST reliability. In this study, a lifetime evaluation of power semiconductor devices in SST is performed with respect to temperature stress. For a case study, a 3 MW SST with three kinds of power modules (one IGBT module and two SiC-MOSFET modules) is used for the lifetime estimation under the operation profile of urban railway vehicles.

• Journal of Korea Water Resources Association
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• v.38 no.1
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• pp.37-48
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• 2005

The evaluation methods of river naturalness were reviewed, and one of the best methods was applied to three sample rivers-Narinchun, Bokhachun, Anyangchun. As a result, Narinchun with well preserved state, Bokhachun with being to restoration stage from the damaged, Anyangchun with severe damaged state showed 2$^{nd}$ , 3$^{rd}$ and 4$^{th}$ Grade. The application result shows the method is reliable for evaluating the damaged habitat in river. The method was improved on the evaluation items to apply lager river systems. This suggested method have 14 evaluation items with two category-river shape and river environment and five different Grades for evaluation degree according to state of natural closeness. The every 2,000-3,000m along the river system is recommended as the interval of evaluation unit. According to calssification of evaluation items, this method can supply various information related to river environment and ecology such as ecological deformation and diversity, cross sectional structure and continuity of river shapes..