• 제목/요약/키워드: Smart Evaluation

검색결과 1,426건 처리시간 0.028초

MAUT/AHP를 이용한 연구개발사업 우선순위 선정방법 (A Hybrid Method of MultiAttribute Utility Theory and Analytic Hierarchy Process for R&D Projects' Priority Setting.)

  • 김정흠;박주형
    • 기술경영경제학회:학술대회논문집
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    • 기술경영경제학회 1999년도 제15회 하계 학술발표회 논문집
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    • pp.245-265
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    • 1999
  • MAUT and AHP are widely used for quantification of subjective judgements in various fields of decision making. This study focuses on the introduction and application of MAUT/AHP method which is a hybrid of MAUT and AHP techniques in R&D project priority setting. This hybrid model can clarify each factors' contribution using MAUT method and can reduce the number of pairwise comparisons of AHP method. This study applies AMUT/AHP method to the evaluation of R&D projects in a Government - funded research institute. To evaluate R&D projects, six evaluation factors are derived. SMART(Simple MultiAttribute Rating Technique) and DVM(Difference Value Measurement ) out of many MAUT methods are used to design the utility function ad AHP is used to allocate the weights among evaluation factors. The major findings of this study can be summarized as follows. First, the SMART/AHP and the DVM/AHP have the same results with the SMART and the DVM, and they are different results with AHP. It is very hard to decide which one is better. Second, MAUT/AHP's strength is analyzed. MAUT reflects utility values of evaluators to alternatives and AHP results objective and consistent weights of factors through pariwise comparisons. Third, its possible application fields are proposed. It is applicable to subjective decision making problems with high complexity and inter-independent factors.

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프라이빗 블록체인 및 스마트 컨트랙트 기반 고신뢰도 크라우드센싱 보상 메커니즘 (Private Blockchain and Smart Contract Based High Trustiness Crowdsensing Incentive Mechanism)

  • 윤준혁;김미희
    • 정보보호학회논문지
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    • 제28권4호
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    • pp.999-1007
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    • 2018
  • 크라우드센싱 시스템을 현실화하기 위해서는 서비스 제공자 서버와 사용자간의 신뢰도 구축이 선행되어야 한다. 서비스 제공자 서버는 지급하는 보상을 최소화하기 위해 센싱 데이터에 대한 평가를 조작할 수 있다. 또한 사용자는 부정한 보상을 얻기 위해 거짓 데이터를 제공할 수 있다. 본 논문에서는 크라우드센싱 시스템에 프라이빗 블록체인을 도입함으로써 서버가 제공한 보상과 사용자가 제공한 데이터를 불가변적으로 기록해 서버와 사용자가 서로의 감시자 역할을 하도록 한다. 또한 스마트 컨트랙트를 통해 센싱 데이터에 대한 평가를 자동화하고 그 과정을 사용자에게 공개하여 서버 신뢰도를 구축하는 방법을 제시한다. 성능 평가 및 타 시스템 비교를 통해 제안된 크라우드센싱 보상 시스템의 실현 가능성을 보인다.

XR 콘텐츠 UI/UX 평가를 위한 VR 스마트 팩토리 교육훈련 콘텐츠 제작 (VR Smart Factory Training Content Production for XR Content UI/UX Evaluation)

  • 이영우;임익수;이수민;김현식;강민구;이창교;서정욱
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2021년도 추계학술대회
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    • pp.259-261
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    • 2021
  • 이 논문에서는 제조 분야에 디지털 트윈 기반 XR 콘텐츠의 UX/UI 디자인 및 사용성 평가를 위하여 범용적인 콘텐츠 소프트웨어와 달리, HDM의 의존성이 큰 XR 콘텐츠의 특성을 반영하기 위해, 공정수행작업 시나리오에 맞춘 XR 콘텐츠를 제작하였다. XR 콘텐츠의 공정수행 작업 시나리오를 수행하기 위해 Qculus Quest2라는 HMD장비를 사용하였으며, 콘텐츠 제작은 Unity 엔진과 SteamVR Plugin을 통해 제작되었다.

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스마트 TMD 제어를 위한 강화학습 알고리즘 성능 검토 (Performance Evaluation of Reinforcement Learning Algorithm for Control of Smart TMD)

  • 강주원;김현수
    • 한국공간구조학회논문집
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    • 제21권2호
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    • pp.41-48
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    • 2021
  • A smart tuned mass damper (TMD) is widely studied for seismic response reduction of various structures. Control algorithm is the most important factor for control performance of a smart TMD. This study used a Deep Deterministic Policy Gradient (DDPG) among reinforcement learning techniques to develop a control algorithm for a smart TMD. A magnetorheological (MR) damper was used to make the smart TMD. A single mass model with the smart TMD was employed to make a reinforcement learning environment. Time history analysis simulations of the example structure subject to artificial seismic load were performed in the reinforcement learning process. Critic of policy network and actor of value network for DDPG agent were constructed. The action of DDPG agent was selected as the command voltage sent to the MR damper. Reward for the DDPG action was calculated by using displacement and velocity responses of the main mass. Groundhook control algorithm was used as a comparative control algorithm. After 10,000 episode training of the DDPG agent model with proper hyper-parameters, the semi-active control algorithm for control of seismic responses of the example structure with the smart TMD was developed. The simulation results presented that the developed DDPG model can provide effective control algorithms for smart TMD for reduction of seismic responses.

3D 가상착의를 이용한 스마트 스포츠웨어의 밀착성 평가 (Tightness Evaluation of Smart Sportswear Using 3D Virtual Clothing)

  • 김소영;이희란
    • 한국의류학회지
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    • 제47권1호
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    • pp.123-136
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    • 2023
  • To develop smart sportswear capable of measuring biometric data, we created a close-fitting pattern using two- and three-dimensional (2D and 3D, respectively) methods. After 3D virtual fitting, the tightness of each pattern was evaluated using image processing of contact points, mesh deviation, and cross-sectional shapes. In contact-point analysis, the 3D pattern showed high rates of contact with the body (84.6% and 93.1% for shirts and pants, respectively). Compared with the 2D pattern, the 3D pattern demonstrated closer contact at the lower chest, upper arm, and thigh regions, where electrocardiography and electromyography were primarily carried out. The overall average gap was also lower in the 3D pattern (5.27 and 4.66 mm in shirts and pants, respectively). In the underbust, waist, thigh circumference, and mid-thigh circumference, the cross-section distance between clothing and body was showed a statistically significant difference and evenly distributed in the 3D pattern, exhibiting more closeness. The tightness and fit of the 3D smart sportswear sensor pattern were successfully evaluated. We believe that this study is critical, as it facilitates the comparison of different patterns through visualization and digitization through 3D virtual fitting.

Investigation on helix type labyrinth seal to minimize leakage flow of cryogen for rotating superconducting machines

  • Yubin Kim;Kihwan Kim;Seungcheol Ryu;Hojun Cha;Seokho Kim
    • 한국초전도ㆍ저온공학회논문지
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    • 제26권1호
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    • pp.25-30
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    • 2024
  • High-temperature superconducting rotors offer advantages in terms of output-to-weight ratio and efficiency compared to conventional phase conduction motors or generators. The rotor can be cooled by conduction cooling, which attaches a cryocooler, and by refrigerant circulation, which uses circulating liquid or gas neon, helium and hydrogen. Recent work has focused on environmental issues and on high-temperature superconducting motors cooled with liquid hydrogen that can be combined with fuel cells. However, to ensure smooth supply and return of the cryogenic cooling fluid, a cryogenic rotational coupling between the rotating and stationary parts is necessary. Additionally, the development of a sealing structure to minimize fluid leakage applicable to the coupling is essential. This study describes the design and performance evaluation of a non-contact sealing method, specifically a labyrinth seal, which avoids power loss and heat load caused by friction in contact sealing structures. The seal design incorporates a spiral flow path to reduce leakage using centrifugal force, and computational fluid dynamics (CFD) simulations were conducted to analyze the flow path and rotational speed. A performance evaluation device was configured and employed to evaluate the designed seal. The results of this study will be used to develop a cryogenic rotational coupling with supply and return flow paths for cryogenic applications.

인공지능 검색 서비스 활용에 따른 서비스 사용성 평가: 네이버 앱을 중심으로 (Usability Evaluation of Artificial Intelligence Search Services Using the Naver App)

  • 황신희;주다영
    • 감성과학
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    • 제22권2호
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    • pp.49-58
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    • 2019
  • 4차 산업 혁명 시대에 인공지능은 IT 기업을 중심으로 기업들의 핵심 사업 전략이 되고 있다. 그리고 국내외 주요 포탈 기업들 또한, 인공지능 기반의 검색 서비스를 출시하고 있다. 인공지능 검색 서비스는 이미지 음성과 같은 비정형 데이터를 활용하며 검색 패러다임을 확장시켰다. 하지만 기존의 텍스트 기반의 검색 서비스와 다른 인터페이스를 제공한다. 익숙하지 않은 인터페이스는 서비스의 사용성을 저해할 수 있는 요소로, 인공지능 검색 서비스를 이용에 따른 사용성에 변화를 알아볼 필요가 있다. 본 연구는 네이버앱 8.9.3 베타버전을 사례로 인공지능 검색 서비스를 실험한다. 실험은 네이버앱 사용 경험이 있는 20대와 30대 30명을 대상으로, 네이버앱의 인공지능 검색 서비스인 스마트 렌즈, 스마트 보이스, 스마트 어라운드, AiRS 추천 콘텐츠의 사용성을 기존의 네이버앱 검색과 비교하여 평가한다. 실험분석 결과, 기존의 네이버앱 검색과 비교하여 통계적으로 유의미한 사용성 변화가 있는 것으로 나타났다. 스마트 렌즈, 스마트 보이스, 스마트 어라운드는 양(+)의 상관관계가, AiRS 추천 콘텐츠는 음(-)의 상관관계가 있었다. 본 연구는 인공지능 검색 서비스를 적용에 따른 사용성 변화를 평가하고 분석한 것으로, 추후 인공지능을 활용한 서비스의 사용성 평가 연구에 유용한 자료가 될 것으로 기대한다.

스마트 그리드를 위한 무선 기반의 수요 반응 기능을 가지는 조명 제어용 장치 개발 및 실험적 평가 (Development and Experimental Evaluation of the Wireless Illumination Controller with Demand Response for the Smart Grid)

  • 최인호;이정한;홍승호
    • 전기학회논문지
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    • 제60권6호
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    • pp.1215-1224
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    • 2011
  • Recently, a lot of research for the smart grid technology have been carried out to achieve energy efficiency for the electronic products. In order to practically apply this study, smart instruments which are capable of the AMI (Advanced Metering Infrastructure) and DR (Demand Response) function are necessary. However, it is difficult to apply the function of the smart grid to the electronic product that cannot support the smart grid. Accordingly, the efficient use of electric energy is impossible. In order to solve this problem, the electronic product has to be changed into the exclusive electronic product supporting smart grid technology or the smart controller has to be attached the outside of the device. In this study, we developed the smart controller for connecting the electric appliances to the smart grid system. It can be attached to the illumination and the smart grid-based lamp control system at home. We additionally designed the message frame and the protocol to operate the smart controller with the AMI based EMS (Energy Management Server). We developed an experimental system to practically verify functions of the smart controller which is attached to the lighting device. From the system, we showed that the electric source of the illumination can be controlled according to the load change and saved energy effectively. We also confirmed the structural benefit and the energy-efficient effect through the verification of the smart controller.

Design of Contactless Gesture-based Rhythm Action Game Interface for Smart Mobile Devices

  • Ju, Da-Young
    • 대한인간공학회지
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    • 제31권4호
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    • pp.585-591
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    • 2012
  • Objective: The aim of this study is to propose the contactless gesture-based interface on smart mobile devices for especially rhythm action games. Background: Most existing approaches about interactions of smart mobile games are tab on the touch screen. However that way is such undesirable for someone or for sometimes, because of the disabled person, or the inconvenience that users need to touch/tab specific devices. Moreover more importantly, new interaction can derive new possibilities from stranded game genre. Method: In this paper, I present a smart mobile game with contactless gesture-based interaction and the interfaces using computer vision technology. Discovering the gestures which are easy to recognize and research of interaction system that fits to game on smart mobile device are conducted as previous studies. A combination between augmented reality technique and contactless gesture interaction is also tried. Results: The rhythm game allows a user to interact with smart mobile devices using hand gestures, without touching or tabbing the screen. Moreover users can feel fun in the game as other games. Conclusion: Evaluation results show that users make low failure numbers, and the game is able to recognize gestures with quite high precision in real time. Therefore the contactless gesture-based interaction has potentials to smart mobile game. Application: The results are applied to the commercial game application.

A Study on the Development and Effect of Smart Manufacturing System in PCB Line

  • Sim, Hyun Sik
    • Journal of Information Processing Systems
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    • 제15권1호
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    • pp.181-188
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    • 2019
  • A production system is a management system that supports all activities to perform production operations at the manufacturing site. From the point-of-view of a smart factory, smart manufacturing systems redesigned the concept of onsite production systems to fit the entire system and its necessary functional composition. In this study, we select the key functions needed to build a smart factory for a PCB line and propose a new six-step model for the deployment of a smart manufacturing system by integrating essential functions. The smart manufacturing system newly classified the production and operation tasks of PCB manufacturing and selected necessary functions through requirement analysis and benchmarking of advanced companies. The selected production operation tasks are mapped to the functions of the system and configured into seven modules, and the optimal deployment model is presented to allow flexible responses to the characteristics of the tasks. These methodologies are first presented in this study, and the proposed model was applied to the PCB line to confirm that they had significant changes in the work method, qualitative effects, and quantitative effects. Typically, lead time and WIP have reduced by about 50%.