• 제목/요약/키워드: Dynamic capabilities

검색결과 358건 처리시간 0.034초

동적 구조물의 구조변화에 의한 진동해석 연구 (A Study of Vibration Analysis Due to Structual Changes of Dynamic Structure)

  • 현천성;이기형;정인성
    • 대한기계학회논문집
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    • 제16권11호
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    • pp.2033-2048
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    • 1992
  • 본 연구에서는 탄성체 구조물로 형성된 응용에서 좀더 공통된 상황에 관한 것 이다.유일한 선형해석모델의 규명에 필요한 정보제공을 위하여 충분히 넓은 진동수 범위에 걸쳐 응답을 측정하고, 구조물을 기진시키는 것은 불가능하고 비경제적이며 또 는 일반적으로 바람직하지 못할 것으로 생각된다.

실시간 전력계통 시뮬레이터를 이용한 발전기 보호 계전기 모델 개발 (An Implementation of Generator Protective Relay for Real Time Digital Simulator)

  • 조윤성;박성우;이철균;이욱화;김태균;신정훈;차승태;최준호
    • 전기학회논문지
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    • 제56권2호
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    • pp.240-247
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    • 2007
  • This paper presents an implementation of the generator protective relay using Real Time Digital Simulator (RTDS) user defined component (UDC) model designed to facilitate the investigation and evaluation of protective relays. The UDC for RTDS is a convenient model that allows user to develop new component models and run them on the RTDS. The developed model has major features related to the development of six models such as distance, frequency, reverse power, volts per Hz, over voltage, and out-of-step relays. Also, the generator relay models have been used to support and enhance power engineering education at both the undergraduate and graduate levels. The developed model functions are verified and tested by both static test and dynamic test. The simulation results show the capabilities of the developed generator relay using RTDS UDC.

Weighted Adaptive Opportunistic Scheduling Framework for Smartphone Sensor Data Collection in IoT

  • M, Thejaswini;Choi, Bong Jun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권12호
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    • pp.5805-5825
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    • 2019
  • Smartphones are important platforms because of their sophisticated computation, communication, and sensing capabilities, which enable a variety of applications in the Internet of Things (IoT) systems. Moreover, advancements in hardware have enabled sensors on smartphones such as environmental and chemical sensors that make sensor data collection readily accessible for a wide range of applications. However, dynamic, opportunistic, and heterogeneous mobility patterns of smartphone users that vary throughout the day, which greatly affects the efficacy of sensor data collection. Therefore, it is necessary to consider phone users mobility patterns to design data collection schedules that can reduce the loss of sensor data. In this paper, we propose a mobility-based weighted adaptive opportunistic scheduling framework that can adaptively adjust to the dynamic, opportunistic, and heterogeneous mobility patterns of smartphone users and provide prioritized scheduling based on various application scenarios, such as velocity, region of interest, and sensor type. The performance of the proposed framework is compared with other scheduling frameworks in various heterogeneous smartphone user mobility scenarios. Simulation results show that the proposed scheduling improves the transmission rate by 8 percent and can also improve the collection of higher-priority sensor data compared with other scheduling approaches.

Application of Flow Network Models of SINDA/FLUIN $T^{TM}$ to a Nuclear Power Plant System Thermal Hydraulic Code

  • Chung, Ji-Bum;Park, Jong-Woon
    • 한국원자력학회:학술대회논문집
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    • 한국원자력학회 1998년도 춘계학술발표회논문집(1)
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    • pp.641-646
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    • 1998
  • In order to enhance the dynamic and interactive simulation capability of a system thermal hydraulic code for nuclear power plant, applicability of flow network models in SINDA/FLUIN $T^{™}$ has been tested by modeling feedwater system and coupling to DSNP which is one of a system thermal hydraulic simulation code for a pressurized heavy water reactor. The feedwater system is selected since it is one of the most important balance of plant systems with a potential to greatly affect the behavior of nuclear steam supply system. The flow network model of this feedwater system consists of condenser, condensate pumps, low and high pressure heaters, deaerator, feedwater pumps, and control valves. This complicated flow network is modeled and coupled to DSNP and it is tested for several normal and abnormal transient conditions such turbine load maneuvering, turbine trip, and loss of class IV power. The results show reasonable behavior of the coupled code and also gives a good dynamic and interactive simulation capabilities for the several mild transient conditions. It has been found that coupling system thermal hydraulic code with a flow network code is a proper way of upgrading simulation capability of DSNP to mature nuclear plant analyzer (NPA).

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GHM 기법을 이용한 회전하는 복합재-VEM 박판보의 진동해석 (Vibration Analysis of Composite-VEM Thin-walled Rotating Beam Using GHM Methodology)

  • 박재용;박철휴;곽문규;나성수
    • 한국소음진동공학회논문집
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    • 제14권7호
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    • pp.639-647
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    • 2004
  • This paper concerns the analytical modeling and dynamic analysis of advanced rotating blade structure implemented by a dual approach based on structural tailoring and viscoelastic material technology. Whereas structural tailoring uses the directionality properties of advanced composite materials, the passive material technology exploits the damping capabilities of viscoelastic material (VEM) embedded into the host structure. The main structure is modeled as a composite thin-walled beam Incorporating a number of nonclassical features such as transverse shear. anisotropy of constituent materials, and rotary inertia etc. The VEM layer damping treatment is modeled by using the Golla-Hughes-McTavish (GHM) method, which is employed to account for the frequency-dependent characteristics of the VEM. The displayed numerical results provide a comprehensive picture of the synergistic implications of both techniques, namely, the tailoring and damping technology on dynamic response of a thin-walled beam structure exposed to external time-dependent excitation.

Life-cycle cost optimization of steel moment-frame structures: performance-based seismic design approach

  • Kaveh, A.;Kalateh-Ahani, M.;Fahimi-Farzam, M.
    • Earthquakes and Structures
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    • 제7권3호
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    • pp.271-294
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    • 2014
  • In recent years, along with the advances made in performance-based design optimization, the need for fast calculation of response parameters in dynamic analysis procedures has become an important issue. The main problem in this field is the extremely high computational demand of time-history analyses which may convert the solution algorithm to illogical ones. Two simplifying strategies have shown to be very effective in tackling this problem; first, simplified nonlinear modeling investigating minimum level of structural modeling sophistication, second, wavelet analysis of earthquake records decreasing the number of acceleration points involved in time-history loading. In this paper, we try to develop an efficient framework, using both strategies, to solve the performance-based multi-objective optimal design problem considering the initial cost and the seismic damage cost of steel moment-frame structures. The non-dominated sorting genetic algorithm (NSGA-II) is employed as the optimization algorithm to search the Pareto optimal solutions. The constraints of the optimization problem are considered in accordance with Federal Emergency Management Agency (FEMA) recommended design specifications. The results from numerical application of the proposed framework demonstrate the capabilities of the framework in solving the present multi-objective optimization problem.

경계연결리더십이 조직구성원의 자기효능감, 역할 외 활동, 그리고 흡수역량에 미치는 영향 (The Effect of Boundary-spanning Leadership on Self-efficacy, Extra-role Behavior, and Absorptive Capacity)

  • 권정언;우형록
    • 지식경영연구
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    • 제20권1호
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    • pp.133-153
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    • 2019
  • Due to the uncertainty of dynamic business environment, modern organizations have been giving attention to dynamic capabilities beyond traditional notion of core competence. Among them, absorptive capacity and boundary-spanning activity are considered the most important. The former refers to activities regarding acquisition, assimilation, transformation and exploitation of internal and external knowledge. The latter is composed of boundary-loosening and boundary-tightening activities to detect internal or external information and then to preserve, protect, or acquire resources. Thus, both have achieved wide recognition as a potential source of change and innovation. This study investigated the cross-level relation between boundary-spanning leadership at team level and absorptive capacity at individual level. We also explored self-efficacy and extra-role behavior that can affect employees' absorptive capacity. To test multi-level analysis, the survey data were collected from 862 members in 137 teams of different firms. Results revealed that boundary-spanning leadership had the positive cross-level impact on absorptive capacity in the team context. Moreover, absorptive capacity was positively associated with self-efficacy and extra-role behavior at individual level. Based on these findings, we provided theoretical and practical implications to address rapidly changing environments and discussed limitations of this paper for further research.

A Novel Second Order Radial Basis Function Neural Network Technique for Enhanced Load Forecasting of Photovoltaic Power Systems

  • Farhat, Arwa Ben;Chandel, Shyam.Singh;Woo, Wai Lok;Adnene, Cherif
    • International Journal of Computer Science & Network Security
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    • 제21권2호
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    • pp.77-87
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    • 2021
  • In this study, a novel improved second order Radial Basis Function Neural Network based method with excellent scheduling capabilities is used for the dynamic prediction of short and long-term energy required applications. The effectiveness and the reliability of the algorithm are evaluated using training operations with New England-ISO database. The dynamic prediction algorithm is implemented in Matlab and the computation of mean absolute error and mean absolute percent error, and training time for the forecasted load, are determined. The results show the impact of temperature and other input parameters on the accuracy of solar Photovoltaic load forecasting. The mean absolute percent error is found to be between 1% to 3% and the training time is evaluated from 3s to 10s. The results are also compared with the previous studies, which show that this new method predicts short and long-term load better than sigmoidal neural network and bagged regression trees. The forecasted energy is found to be the nearest to the correct values as given by England ISO database, which shows that the method can be used reliably for short and long-term load forecasting of any electrical system.

Optimization of Sky-Bridge location at coupled high-rise buildings considering seismic vulnerability functions

  • Arada, Ahmad Housam;Ozturk, Baki;Kassem, Moustafa Moufid;Nazri, Fadzli Mohamed;Tan, Chee Ghuan
    • Structural Engineering and Mechanics
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    • 제82권3호
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    • pp.385-400
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    • 2022
  • Sky-bridges between adjacent buildings can enhance lateral stiffness and limit the impact of lateral forces. This study analysed the structural capabilities and dynamic performances of sky-bridge-coupled buildings under various sets of ground motions. Finite Element (FE) analyses were carried out with the link being iteratively repositioned along the full height of the structures. Incremental dynamic analysis (IDA) and probabilistic damage distribution were also applied. The results indicated that the establishment of sky-bridges caused a slight change in the natural frequency and mode shapes. The sky-bridge system was shown to be efficient in controlling displacement and Inter-Storey Drift Ratio (%ISDR) and reducing the probability of damage in the higher floors. The most efficient location of the sky-bridge, for improving its rigidity, was found to be at 88% of the building height. Finally, the effects of two types of materials (steel and concrete) and end conditions (hinged and fixed) were studied. The outcomes showed that coupled buildings with a sky-bridge made of steel with hinged connection could withstand ground motions longer than those made of concrete with fixed connection.

소프트웨어 정의 경계를 이용한 네트워크 트래픽 기반 동적 접근 제어 (Network Traffic-Based Access Control Using Software-Defined Perimeter)

  • 김서이;이일구
    • 정보보호학회논문지
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    • 제34권4호
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    • pp.735-746
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    • 2024
  • 컴퓨터 기술의 급속한 발전은 더 안전한 사용자 환경이 필요하게 되어, 모든 내부 및 외부 네트워크 활동을 검증하는 제로 트러스트 모델의 도입을 촉진했다. 본 논문은 제로 트러스트의 구현 및 지연 문제를 해결하기 위해 소프트웨어 정의 경계 기능을 활용한 효율적인 네트워크 트래픽 데이터 기반 동적 접근 제어 방법을 제안한다. 성능 평가 결과에 따르면 제안한 방법의 탐지 성능은 기존 방식과 유사하게 나타났지만 데이터 셋의 크기는 약 70% 감소했다. 그리고 적응형 제로 트러스트 검증 방식을 제안하여 데이터 셋 크기와 검증 시간을 각각 약 83%, 10% 줄이면서 종래의 방식과 유사한 탐지 성능을 유지했다.