• 유통과학연구
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• 제12권10호
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• pp.29-35
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• 2014

Purpose - This study highlights the inter-dependence between business and society. Various business strategies like Corporate Philanthropy and CSR (Corporate Social Responsibility) are introduced to establish better relationship between business and society. Research Design, Data, and Methodology - This study presents a research model clarifying the role of Creating Shared Value (CSV) and its influence on overall corporate performance. Further, we reveal the mediating role of corporate trust generated by various mechanisms of economic and social values, leading to enhanced corporate performance. Results - The proposed research model addresses five different proposals indicating that, by incorporating CSV approaches, organizations can create both business and social values. These values help positively influence corporate trust, ultimately facilitating improvements in overall corporate performance. Conclusions - CSV is currently in its early stage; it is difficult to gather meaningful data to measure its performance. However, this study seeks to connect CSV with other important factors such as corporate trust. The proposed model can be a starting point for a more empirical and formal conceptualization of CSV along with other important links.

• 한국산학기술학회논문지
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• 제20권6호
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• pp.1-8
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• 2019

의료정보는 환자에게 중요한 개인정보로써 반드시 보호되어야 하는 중요 정보이다. EMR((Electronic Medical Records) 시스템은 개인정보와 의료정보가 유출될 경우, 환자의 사생활 침해 등 매우 심각한 피해를 초래할 수 있어 EMR 시스템의 의료정보는 사용자 접근에 관한 제어 및 통제 강화 등 높은 보안성이 요구되는 시스템이다. 특히 의료인이 전자의무기록에 접근할 때, 보안이 강화된 신원확인에 대한 인증방식이 반드시 필요하다. 그러나 기존의 공인인증서 기반의 인증모델은 개인키 관리, 권한위임 등의 문제로 인해 전자의무기록의 보안 특성을 반영하지 못하였다. 본 연구에서는 기존의 전자의무기록(EMR) 시스템 접근 시 문제점을 해결할 수 있는 보안이 강화된 지문인식 기반 인증 모델을 제안한다. 제안한 인증 모델은 PEMS(Private-key Escrow Management Server)를 이용한 EMR 지문인증 모델로서, 개인키 위탁 프로토콜과 개인키 인출 프로토콜을 적용하여, 개인키 관리와 권한위임 문제를 해결할 수 있도록 하였다. 제안한 인증 모델은 성능 실험을 통해 기존의 공인인증서 기반 인증에 비해 수행시간 단축된 것을 확인할 수 있었고, 기존 전자서명 비밀번호 방식을 대체 가능하며, 사용자의 편의성이 증가된 장점이 있다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2004년도 춘계 학술발표회 제16권1호
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• pp.506-509
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• 2004

This paper proposes Headed bar as reinforcement of beam-column joint, and proves seismic performance and reduction of reinforcement congestion. In these case, the use of Headed bars have obvious advantages. The greatest benefit of using Headed bars is not only improved structural performance of beam-column joints, but also the ease of fabrication, construction, and placement. Three-dimensional finite element analysis model is compared with test program which was fulfilled by the proposed model with Headed bar. Also, the plastic hinge region is relocated to the center of the longitudinal beam length according to the strong column-weak beam design philosophy, so Headed bar is used as the joint reinforcement. Therefore, this paper presents results of a computer analysis of a practical solution for relocating potential beam plastic hinge regions by the placing of straight - Headed bar.

• Tribology and Lubricants
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• 제21권6호
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• pp.283-288
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• 2005

This paper presents the theoretical model and analysis results to investigate the effect of Coulomb damping in the sub-structure of a foil bearing. Vertical and horizontal deflection of a bump is restricted by friction of the bump. Equivalent viscous damping of the bump foil is derived from the Coulomb friction. Dynamic equation of the bump is constituted by stiffness and damping terms. The air film is modeled by the compressible Reynolds equation. A perturbation approach and finite difference numerical method is used to determine the static and dynamic performance of the bearing from the coupled fluid-structural model. The analysis result shows that the static and dynamic performance is enhanced by the bump friction.

• International Journal of Internet, Broadcasting and Communication
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• 제13권2호
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• pp.7-13
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• 2021

Machine vision is a technology that helps the computer as if a person recognizes and determines things. In recent years, as advanced technologies such as optical systems, artificial intelligence and big data advanced in conventional machine vision system became more accurate quality inspection and it increases the manufacturing efficiency. In machine vision systems using deep learning, the image quality of the input image is very important. However, most images obtained in the industrial field for quality inspection typically contain noise. This noise is a major factor in the performance of the machine vision system. Therefore, in order to improve the performance of the machine vision system, it is necessary to eliminate the noise of the image. There are lots of research being done to remove noise from the image. In this paper, we propose an autoencoder based machine vision system to eliminate noise in the image. Through experiment proposed model showed better performance compared to the basic autoencoder model in denoising and image reconstruction capability for MNIST and fashion MNIST data sets.

• 전기학회논문지
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• 제60권12호
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• pp.2326-2332
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• 2011

eLoran is enhanced Loran-C and eLoran is researched for as GPS backup system because this system is resistant to signal interference and has high accuracy. TOA measurements of eLoran include errors proportional to the range such as PF, SF, ASF and EF. Therefore these error factors must be compensated for improved accuracy of position. Generally, error models or GPS aided compensation methods are used, but these methods are limited by lack of infrastructure or system performance. Therefore, this paper proposes new model of error factors included in eLoran TOA measurements and navigation algorithm using this model. Error factors in this model are sum of a certain size of error and error proportional to the range. And feasibility and performance of proposed navigation algorithm are verified by using raw measurements.

• 자동차안전학회지
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• 제6권2호
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• pp.5-11
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• 2014

Front side member of the front impacted vehicle plays a key role in minimizing the impacting load transferred to the compartment. To perform that required function, axial collapse should be dominant during side member crashing and, prior to designing side member, it is crucial to minimize bending moment occurred at the front end. In this study, for FE model of a SUV front body, front impact analyses were carried to find out bumper stay design which effectively develope axial collapse in the side member. As a previous work, the thickness of side member reinforcement were changed. Next, the inner thickness of bumper stay was increased. Also, the bead shape and location were modified. Final front body model showed much more axial collapsed mode and enhanced crash performance. In addition, a stay of octagon section was adopted and that model exhibited distinctive increase in impact energy absorption.

• 반도체디스플레이기술학회지
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• 제23권2호
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• pp.92-99
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• 2024

As semiconductor processes require several nanometers precision, the importance of motor control is increasing in semiconductor equipment. Due to unpredictable uncertainties such as friction and mechanical vibrations achieving precise position control in semiconductor processes is challenging. The internal model principle-based controller is a control technique that ensures robust steady-state performance by incorporating a model of the reference and disturbance. The disturbance observer-based controller is a prominent robust control technique implemented to cope with various nonlinearities and uncertainties. Provided that the two controllers can be designed to exhibit equivalent performance under certain conditions, this paper demonstrates through experiments that they yield identical results for the case of a BLDC position control problem. The experimental results also indicate that they can offer enhanced robustness compared with the conventional PID controller in the presence of a time-varying disturbance.

• 한국항공우주학회지
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• 제48권8호
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• pp.573-580
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• 2020

다중개체를 제어하기 위해서 해결해야 되는 문제들 중 하나는 위치제어다. 위치와 속도를 제어하기 위한 모델로 augmented Cucker-Smale 모델이 존재했다. 하지만 기존 모델은 모든 개체에 동일한 시스템을 적용함에 따라서 개별개체의 특성을 살리지 못했다는 특징이 있다. 본 논문에서는 그 점을 보안하고 적절한 형태로 변형하기 위해서 초기 위치와 분포를 이용한 마할라노비스 거리를 계수와 통계학적 자유도를 적용해서, 모델의 수렴시간과 소모에너지를 동시에 줄이고자 한다. 모델의 성능 검증을 위해서 몬테카를로 시뮬레이션을 통해서 전체적인 경향성을 판단했고, 추가적으로 개별 개체의 움직임을 분석하여서 마할라노비스 거리 계수가 적절한 역할을 수행하고 있는지 확인했다.

• 지식경영연구
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• 제7권2호
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• pp.35-52
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• 2006

Increasing competitive pressure, the constantly accelerating transformation of the economy, and a stronger focus on value creation have initiated the search for sustainable sources of competitive advantage in organizations. In this context, the concept of treating organizational knowledge as a valuable strategic resource has become quite popular recently. Knowledge has become the most critical component in the struggle for sustained competitive advantage and knowledge management (KM) has also been described for its possible role in creating sustainable competitive advantage. In order to examine the contingency between KM resources, KM strategies, and KM performance of organizations, a contingency model of KM, which is based on resource-based theory as well as knowledge-based theory, is developed from the information systems and strategic management literature in order to assess the following questions: (i) What KM resources affect the organization's KM strategies? (ii) Is there a relationship between KM strategies and organizational performance enhanced by KM? A detailed exploratory analysis of survey responses from 79 Korean companies provides the following significant findings: (i) This study found support for the proposed contingency model of KM; (ii) The organization's KM strategies are determined by social resources and its capabilities; (iii) An organization with a culture-based KM strategy is more likely to enhance organizational KM performance than an organization with a technology-based KM strategy.