• Journal of Electrical Engineering and Technology
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• 제5권1호
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• pp.129-139
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• 2010

To be satisfied with complex load condition of electric vehicle, fuzzy logic control (FLC) is applied to improve speed response and system robust performance of induction traction machine based on indirect rotor field orientation control. The proposed propulsion system consists of two induction motors (IM) that ensure the drive of the two back driving wheels of lightweight electric vehicle by means the vehicle used for passenger transportation. The electronic differential system ensures the robust control of the vehicle behavior on the road. It also allows controlling, independently, every driving wheel to turn at different speeds in any curve. Our electric vehicle fuzzy inference system control's simulated in Matlab SIMULINK environment, the results obtained present the efficiency and the robustness of the proposed control with good performances compared with the traditional PI speed control, the FLC induction traction machine presents not only good steady characteristic, but with no overshoot too.

• 한국전기전자재료학회논문지
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• 제22권10호
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• pp.844-849
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• 2009

The moving behavior of particle with voltage biasing is studied by analyzing the displacement current generated in electrodes and the drift current by moving particles in cell gap. These currents are ascertained by optical reflectivity on the panel. We obtained the saturated current after a peak in threshold voltage which is coincide with reflectivity of 80%. These saturated optical reflectivity and its drift current offer optimum q/m of particles and driving voltage and can be analytically studied on grey scale methods. Especially regional analysis is useful to aging and driving voltage and the understanding of operating mechanism of charged particle type display.

• 대한기계학회논문집A
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• 제29권1호
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• pp.139-144
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• 2005

A vehicle cruise control algorithm using an Interacting Multiple Model (IMM)-based Multi-Target Tracking (MTT) method has been presented in this paper. The vehicle cruise control algorithm consists of three parts; track estimator using IMM-Probabilistic Data Association Filter (PDAF), a primary target vehicle determination algorithm and a single-target adaptive cruise control algorithm. Three motion models; uniform motion, lane-change motion and acceleration motion. have been adopted to distinguish large lateral motions from longitudinal motions. The models have been validated using simulated and experimental data. The improvement in the state estimation performance when using three models is verified in target tracking simulations. The performance and safety benefits of a multi-model-based MTT-ACC system is investigated via simulations using real driving radar sensor data. These simulations show system response that is more realistic and reflective of actual human driving behavior.

• 자동차안전학회지
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• 제13권4호
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• pp.106-113
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• 2021

In this study, The behavior of an autonomous vehicle in an intersection accident situation is predicted. Based on a representative intersection accident situation from actual intersection accident database, simulation was performed by applying the automatic emergency braking algorithm used in the autonomous driving system. Accident reconstruction was performed based on the accident report of the representative accident situation. After applying the autonomous driving system to the accident-related vehicle, the tendency of intersection accidents that may occur in autonomous vehicles was identified and analyzed.

• 한국초전도ㆍ저온공학회논문지
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• 제11권2호
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• pp.20-24
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• 2009

In order to explain the operating characteristics of LTMFP in a wide range of driving frequency, an analytical equation that takes into account the detailed behavior of the normal spot is necessary. In this paper, based on the phenomenon of magnetic diffusion of the superconductor we modified the theoretical equations for pumping action in LTMFP. The modified equations explained well the pumping actions under the different load magnets. These results are important to explain the pumping tendency of the LTMFP according to driving frequency.

• 한국자동차공학회논문집
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• 제22권6호
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• pp.104-112
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• 2014

Generally, numerical approaches of evaluation for vehicle seat comfort have been studied without considering time-dependent characteristics and the only seating moment have been considered in seat design. However, the comfort not only at the seating moment but also in the long-term should be evaluated because the passengers are sitting repeatedly on the seat to drive the vehicle for hours. So, the aim of this paper is to carry out a quantitative evaluation of the time-dependent mechanical characteristics of seat foams and to suggest a process for predicting the viscoelastic deformation of seat foam in response to long-term driving. To characterize the seat materials, uniaxial compression and tension tests were carried out for the seat foam and stress relaxation tests were performed for evaluating the viscoelastic behavior of the seat foam. A unit solid element model was used to verify the reliability of the material model with respect to the compression behavior of the seat foam. It is not straightforward to evaluate the time-dependent compression of foams using the explicit solver because the viscoelastic material model is limited. To use the explicit solver, the material model must be modified using stress-degradation data. Normalized stress relaxation moduli were added to the stress-strain curves obtained under static conditions to achieve a time-dependent set of stress-strain relations that were compatible with the implicit solver. There was good agreement between the analysis results and experimental data.

• 지식경영연구
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• 제16권3호
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• pp.1-21
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• 2015

The mobile market has introduced unprecedented shopping opportunities to customers and is expected to grow rapidly over time. However, little is known about how customers make purchase decisions in the mobile market. The purpose of this study is to investigate the drivers of mobile VOD purchases and to deliver valuable insights to mobile business operators. We focus on the purchase of VOD contents that have to be purchased and consumed using mobile devices and examine how individual-level purchase decisions are determined by three factors: perceived usefulness, usage behavior, and privacy concern. We obtained the panel data from a leading market research company that contains the mobile logs and survey results. Our main results suggest the followings. First, the perceived usefulness affects customers' mobile VOD contents purchases positively whereas the usage behavior exerts no influence on mobile contents purchases. Moreover, the privacy concern lowers the positive effect of perceived usefulness on mobile content purchases; however, it enhances the effect of the usage behavior on mobile contents purchases. These empirical findings indicate that mobile business operators should pay more attention to potential differences in perception and behavior using mobile devices and keep in mind that the privacy concern plays an additional key role in driving mobile contents purchases.

• Smart Structures and Systems
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• 제31권6호
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• pp.585-599
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• 2023

Field monitoring techniques offer an attractive approach for understanding bridge behavior under in-service loads. However, the investigations on bridge behavior under high-speed train load using field monitoring data are limited. The focus of this study is to explore the structural behavior of an in-service long-span steel truss arch bridge based on field monitoring data. First, the natural frequencies of the structure, as well as the train driving frequencies, are extracted. Then, the train-induced bearing displacement and structural strain are explored to identify the effects of train loads and bearings. Subsequently, a sensitivity analysis is performed for the impact factor of strain responses with respect to the train speed, train weight, and temperature to identify the fundamental issues affecting these responses. Additionally, a similar sensitivity analysis is conducted for the peak acceleration. The results indicate that the friction force in bearings provides residual deformations when two consecutive trains are in opposite directions. In addition, the impact factor and peak acceleration are primarily affected by train speed, particularly near train speeds that result in the resonance of the bridge response. The results can provide additional insight into the behavior of the long-span steel truss bridges under in-service high-speed train loads.

• 산경연구논집
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• 제15권9호
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• pp.1-9
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• 2024

Purpose: This study examines the impact of YouTube mukbang content characteristics on viewer satisfaction and word-of-mouth behavior. Drawing from theories in media psychology, consumer behavior, and communication studies, we investigate five key content characteristics: credibility, entertainment value, informativeness, visual appeal, and auditory quality. Research design, data and methodology: Using structural equation modeling with data from 206 mukbang viewers, we test hypothesized relationships between these characteristics, viewer satisfaction, and word-of-mouth behavior. Results: Research reveal that credibility and informativeness significantly and positively influence viewer satisfaction, while entertainment value, visual appeal, and auditory quality show no significant effect. Viewer satisfaction positively impacts word-of-mouth behavior. These findings challenge conventional assumptions about video content consumption and highlight the unique nature of mukbang viewing. Conclusions: The study contributes to digital content consumption literature by providing empirical evidence of factors influencing viewer engagement in the mukbang context. It offers practical insights for content creators, marketers, and platform developers, emphasizing the importance of informative and credible content in driving viewer satisfaction and promoting positive word-of-mouth. By extending established media theories to this emerging form of digital entertainment, our research paves the way for future studies. The study's limitations, including its cross-sectional nature and specific cultural context, suggest directions for future research.

• 대한교통학회지
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• 제28권6호
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• pp.147-158
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• 2010

교통부문 온실가스 저감과 도로의 경쟁력 강화를 위해 교통정보 제공을 통한 수요분산의 관심이 높아지고 있다. 그러나, 이를 위해서는 효율적이며 효과적인 정보제공전략 수립과 운전자 경로전환 행태와 영향요인들에 대한 연구가 선결적으로 필요한 바, 본 연구에서는 도로의 소통상황을 포함한 주행여건과 운전자의 정보매체 선호특성을 고려하여 경로전환 판별모형을 개발하고자 하였다. CART 분석을 이용한 집단구분에서는 주행여건에 따라 3개 군집으로 분류되었으며, 통계적으로 유의하였다. 그리고, CHAID 분석을 통해 경로전환에 영향을 미치는 주행여건과 선호매체 요인들을 통계적으로 유의한 집단으로 구분하여, 경로전환에 영향을 미치는 주요 요인을 파악하였다. 마지막으로, 판별분석을 통해 주행여건과 선호매체가 경로전환에 미치는 영향정도를 파악하고, 경로전환 예측 판별모형식을 개발하였다. 판별모형식 구축 결과, 경로전환은 주행여건에 더 많은 영향을 받는 것으로 나타났으며, 전체 판별적중률(Hit Ratio)은 64.2%로 도출되어 본 판별식은 일정수준 이상의 높은 판별력을 가지고 있었다.