• Structural Engineering and Mechanics
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• v.7 no.1
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• pp.111-126
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• 1999

The work presented here focuses on the development of suitable discretised formulations, for large-displacement shape and non-shape design sensitivity analysis (DSA), which enable the straightforward incorporation of structural optimisation into established finite element analysis (FEA) codes. For the generalised displacement-based functional the design sensitivity vector has been expressed in terms of displacement sensitivity. The Total Lagrangian formulation is utilised for modelling of large deformation of truss structures. The variational formulation of the sensitivity analysis procedure is discretised by using "pseudo" - finite elements, Results are presented for the sensitivity analysis and optimisation of standard truss structures. For the purposes of this work, the analysis and optimisation procedures outlined below are incorporated into the FEA code ABAQUS.

• Journal of Electrical Engineering and Technology
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• v.8 no.4
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• pp.780-786
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• 2013

In the reliability-based design optimization of electromagnetic devices, the accurate and efficient reliability assessment method is very essential. The first-order sensitivity-assisted Monte Carlo Simulation is proposed in the former research. In order to improve its accuracy for wide application, in this paper, the second-order sensitivity analysis is presented by using the hybrid direct differentiation-adjoint variable method incorporated with the finite element method. By combining the second-order sensitivity with the Monte Carlo Simulation method, the second-order sensitivity-assisted Monte Carlo Simulation algorithm is proposed to implement reliability calculation. Through application to one superconductor magnetic energy storage system, its accuracy is validated by comparing calculation results with other methods.

• Journal of the Optical Society of Korea
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• v.14 no.1
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• pp.14-21
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• 2010

Fiber ring laser based intra-cavity absorption spectroscopic sensor has great potential for high sensitivity gas detection. Using the rate equations and propagation equations, we investigated theoretically factors that affect the sensitivity of such fiber ring laser sensors and determined the optimal design parameters and conditions for significant enhancement of the system sensitivity. Experiments have been conducted to determine the sensitivity enhancement performance. The results showed a factor of 25 ~ 30 in sensitivity enhancement in the experimental system, agreeing well with the theoretical expectations. Experiments on acetylene detection have also been carried out and the results showed that the ring cavity significantly increases the signal absorption and that high sensitivity can be obtained for gas detection.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.2
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• pp.218-230
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• 2012

This study examines the influence of innovativeness and price sensitivity on the purchase intention of smart wear. A total of 211 copies of data were analyzed to investigate a structural model and test research hypotheses using AMOS 7.0 package. The results were summarized as follows. First, fashion innovativeness and technology innovativeness negatively affected price sensitivity; however, information innovativeness positively affected price sensitivity. Second, technology innovativeness positively affected the purchase intention of smart wear; however, fashion innovativeness and information innovativeness did not affect the purchase intention of smart wear. Third, price sensitivity negatively influenced the purchase intention of smart wear. This study is useful for marketers and managers who establish marketing and a price strategy for smart wear in an exploration of the relation of consumer innovativeness, price sensitivity, and the purchase intention of smart wear.

• Current Optics and Photonics
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• v.7 no.2
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• pp.200-206
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• 2023

Near-infrared (NIR) sensing technology using CMOS image sensors is used in many applications, including automobiles, biological inspection, surveillance, and mobile devices. An intuitive way to improve NIR sensitivity is to thicken the light absorption layer (silicon). However, thickened silicon lacks NIR sensitivity and has other disadvantages, such as diminished optical performance (e.g. crosstalk) and difficulty in processing. In this paper, a pixel structure for NIR sensing using a stacked CMOS image sensor is introduced. There are two photodetection layers, a conventional layer and a bottom photodiode, in the stacked CMOS image sensor. The bottom photodiode is used as the NIR absorption layer. Therefore, the suggested pixel structure does not change the thickness of the conventional photodiode. To verify the suggested pixel structure, sensitivity was simulated using an optical simulator. As a result, the sensitivity was improved by a maximum of 130% and 160% at wavelengths of 850 nm and 940 nm, respectively, with a pixel size of 1.2 ㎛. Therefore, the proposed pixel structure is useful for NIR sensing without thickening the silicon.

• Stress
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• v.27 no.2
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• pp.199-204
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• 2019

Backgoround: This study aimed to examine the influence of anxiety sensitivity on task performance and physiological stress response, and to assess the effect of depression in this process for the youth population. Methods: We presented participants with an uncontrollable stress situation where they were required to perform mental arithmetic, based on the Montreal Imaging Stress Task (MIST). A total of 29 participants volunteered for this study. They completed the Anxiety Sensitivity Index-Revised and Patient Health Questionnaire-9 to measure their levels of anxiety sensitivity and depression. Two saliva samples, one before and one after the experiment, were collected to assess the change in cortisol levels as an index of physiological stress response. Results: Participants with high anxiety sensitivity showed lower performance on the mental arithmetic tasks and a significant increase in a salivary cortisol level, compared to those with low anxiety sensitivity. Furthermore, cortisol levels showed a remarkable increase where high anxiety sensitivity was coupled with depressed mood. In other hands, the levels of cortisol remained unchanged despite high anxiety sensitivity with low depressed mood. Conclusions: Our results confirm that the interaction between anxiety sensitivity and depression affects participants' task performance and stress response, as measured through behavioral tasks and physiological data with self-report indices. Also, through the physiological data, we examined that those who have a high level of anxiety sensitivity showed maladaptive responses under high stressful situation.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.1-9
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• 2022

The influence of information sensitivity during the COVID-19 pandemic on perceived risk and personal preventive behaviors of consumers in China had been investigated. The participants were Chinese individuals experiencing the pandemic as it happened. Participants voluntarily completed an online questionnaire to provide their COVID-19 information sensitivity, their perceived COVID-19 risk, preventive behavior and their respective age. Our study discovered that COVID-19 information sensitivity positively influence perceived risk and preventive behavior. Moreover, young individuals show higher levels of online information sensitivity, which influenced their personal protective behavior when compared to that of middle-aged and elderly participants. Furthermore, Perceived risk significantly affected preventive behaviors. The results of this study may assist the government and marketeers in comprehending information sensitivity which can affect consumers' protective behavior toward reducing COVID-19 infections.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.112-122
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• 2023

This study was conducted as part of a summer Korean language and culture program at a university in Korea, aimed at examining the changes in intercultural sensitivity among American students who participated in the program, as well as the Korean students who served as their language partners. The research utilized a mixed-method approach combining qualitative and quantitative analysis. To derive research findings, pre- and post-program Intercultural Sensitivity Scale surveys were administered to participating students and semi-structured interview data were collected from a randomly selected group of six students. The research findings indicated that among a total of twenty-seven students including both American and Korean students, significant changes in intercultural sensitivity were observed in the domain of Interaction Engagement. Furthermore, fourteen American students showed significant changes in their Interaction Confidence, while the Korean students who participated as language partners did not exhibit significant changes in the five subdomains of intercultural sensitivity.

• Transactions of the Korean Society of Automotive Engineers
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• v.6 no.5
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• pp.128-137
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• 1998

A numerical approach for performing kinematic design sensitivity analysis of vehicle suspension systems is presented. Compared with the conventional analytical methods, which require explicit derivation of sensitivity equations, the proposed numerical method can be applied to any type of suspension systems without obtaining sensitivity equations, once any kinematic analysis procedure is established. To obtain sensitivity equations, a numerical differentiation algorithm that uses the third order Lagrange polynomial is developed. The algorithm efficiently and accurately computes the sensitivity of various vehicle static design factors with respect to kinematic design variables. Through a suspension design problem, the validity and usefulness of the method is demonstrated.

• Journal of the Korea Convergence Society
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• v.12 no.6
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• pp.205-215
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• 2021

This study was to examine the effect of Displaced aggression and Justice sensitivity(victim sensitivity and penetrator sensitivity) on Cyberbullying tendency in 20s adult, and the moderating role of Justice sensitivity to identify psychological factors affecting a serious social problem, cyberbullying. The online survey was handed to 261 adults in their 20s for a month. First, Simple regression analysis shows that displaced aggression(F=62.55, p<.001) and victim sensitivity(F=29.61, p<.001) predict cyberbullying tendency. Second, hierarchical regression analysis by controlling the effects of sex, the perpetrator sensitivity has been shown to morderate the relationship between displaced aggression and cyberbullying tendencies(F=29.61, p<.001), and the effect of victim sensitivity has not been significant. In conclusion, that future studies need to consider the limitations of this study to ensure that the same results are shown in different age groups and also some approaches such as empathetic understanding could help to reduce cyberbullying.