• 제목/요약/키워드: requirement model

검색결과 1,446건 처리시간 0.031초

내구성을 고려한 하부 컨트롤 암의 구조설계 (Structural Design of a Front Lower Control Arm Considering Durability)

  • 박한석;김종규;서선민;이권희;박영철
    • 한국기계가공학회지
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    • 제8권4호
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    • pp.69-75
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    • 2009
  • Recently developed automotive components are getting lighter providing a higher fuel efficiency and performance. Following the current trend, this study proposes a structural optimization method for the lower control arm installed at the front side of a Vehicle. Lightweight design of lower control arm can be achieved through design and material technology. In this research, the shape of lower control arm was determined by applying the optimization technology and aluminum was selected as a steel-substitute material. Strength performance is the most important design requirement in the structural design of a control arm. This study considers the static strength in the optimization process. For the optimum design, the durability analysis is performed to predict its fatigue life. In this study, the kriging interpolation method is adopted to obtain the minimum weight satisfying the strength constraint. Optimum designs are obtained by the in-house program, EXCEL-Kriging. Also, based on the optimum model obtained for the static strength, the optimization of Index of Fatigue Durability is carried out to get th optimum fatigue performance.

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바이오 정보처리 소프트웨어 품질평가 모델 연구 (Study on Quality Evaluation Model of Bio Information Processing Software)

  • 전민호;양해술
    • 한국산학기술학회논문지
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    • 제8권3호
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    • pp.601-614
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    • 2007
  • 최근 바이오 정보처리의 중요성이 인식되면서 국내외 바이오 정보처리 소프트웨어 시장이 급격히 증가하고 바이오 정보처리 소프트웨어의 고신뢰성과 고품질 소프트웨어의 요구가 증대되고 있다. 바이오 정보처리 소프트웨어의 품질인증을 위해서는 평가항목 및 평가기준이 마련되어 있어야 한다. 본 논문에서는 패키지 소프트웨어의 품질요구와 시험에 관한 표준인 ISO/IEC 12119, 소프트웨어 제품평가를 위한 표준인 ISO/IEC 9126, 평가모듈의 구성을 위한 국제 표준인 ISO/IEC 14598-6을 기반으로 하여 바이오 정보처리 소프트웨어 시험을 위한 평가모듈을 개발하였다. 본 연구결과를 바탕으로 국내 바이오 정보처리 소프트웨어의 품질평가 방법을 확립하고 품질향상을 위한 기반을 구축하는데 활용할 수 있을 것이라 사료된다.

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Energy-Efficient Scheduling with Delay Constraints in Time-Varying Uplink Channels

  • Kwon, Ho-Joong;Lee, Byeong-Gi
    • Journal of Communications and Networks
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    • 제10권1호
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    • pp.28-37
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    • 2008
  • In this paper, we investigate the problem of minimizing the average transmission power of users while guaranteeing the average delay constraints in time-varying uplink channels. We design a scheduler that selects a user for transmission and determines the transmission rate of the selected user based on the channel and backlog information of users. Since it requires prohibitively high computation complexity to determine an optimal scheduler for multi-user systems, we propose a low-complexity scheduling scheme that can achieve near-optimal performance. In this scheme, we reduce the complexity by decomposing the multiuser problem into multiple individual user problems. We arrange the probability of selecting each user such that it can be determined only by the information of the corresponding user and then optimize the transmission rate of each user independently. We solve the user problem by using a dynamic programming approach and analyze the upper and lower bounds of average transmission power and average delay, respectively. In addition, we investigate the effects of the user selection algorithm on the performance for different channel models. We show that a channel-adaptive user selection algorithm can improve the energy efficiency under uncorrelated channels but the gain is obtainable only for loose delay requirements in the case of correlated channels. Based on this, we propose a user selection algorithm that adapts itself to both the channel condition and the backlog level, which turns out to be energy-efficient over wide range of delay requirement regardless of the channel model.

NuDE 2.0: A Formal Method-based Software Development, Verification and Safety Analysis Environment for Digital I&Cs in NPPs

  • Kim, Eui-Sub;Lee, Dong-Ah;Jung, Sejin;Yoo, Junbeom;Choi, Jong-Gyun;Lee, Jang-Soo
    • Journal of Computing Science and Engineering
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    • 제11권1호
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    • pp.9-23
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    • 2017
  • NuDE 2.0 (Nuclear Development Environment 2.0) is a formal-method-based software development, verification and safety analysis environment for safety-critical digital I&Cs implemented with programmable logic controller (PLC) and field-programmable gate array (FPGA). It simultaneously develops PLC/FPGA software implementations from one requirement/design specification and also helps most of the development, verification, and safety analysis to be performed mechanically and in sequence. The NuDE 2.0 now consists of 25 CASE tools and also includes an in-depth solution for indirect commercial off-the-shelf (COTS) software dedication of new FPGA-based digital I&Cs. We expect that the NuDE 2.0 will be widely used as a means of diversifying software design/implementation and model-based software development methodology.

태평양 심해저 망간단괴 개발사업의 경제적 파급효과 (The Economic Impacts of Pacific Ocean Deep-sea Manganese Nodule Development Project)

  • 유승훈;정동원;박세헌
    • Ocean and Polar Research
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    • 제32권4호
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    • pp.489-499
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    • 2010
  • The securing of raw material is an important requirement for economic development. Many countries, including Korea, actively seek out a stable supply of minerals such as manganese. Manganese nodules are rock concretions on the sea bottom formed of concentric layers of iron and manganese hydroxides around a core and include several strategic minerals necessary for economic development. In particular, the manganese nodule development project (MNDP) plays an important role in the Korean national economy. This study attempts to apply input-output (I-O) analysis in investigating the economic impacts of the MNDP in the Korean national economy. A static I-O framework was employed, focusing on four topics in its application; the production-inducing impacts, the value-added-inducing impacts, the employment-inducing impacts and R&D-inducing impacts of MNDP investments on other sectors. To this end, several versions of the demand-driven models are utilized. In addition, inter-industry linkage analysis is performed to obtain information on the forward and backward linkage effects of industries, including MNDP, to quantify the strength of causation among these industries.

ANALYTICAL SIMULATION OF TRAVEL RESISTANCE OF THE RUBBER CRAWLER SYSTEM FOR FARM MACHINERY

  • Inaba, S.;Inoue, E.;Hashiguchi, K.;Matsuo, T.
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.II
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    • pp.139-145
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    • 2000
  • The mechanism of the inner resistance in a rubber crawler system has been investigated to reduce the power requirement (Kitano et al. 1994). The rolling resistance of the track roller, which is one of the major inner resistances, was measured for seven different vertical loads. The rolling resistance changed periodically and could be classified into three types. In case of the vertical load less than 500N, the rolling resistance was almost constant. For the vertical load greater than 500N, the maximum value of the rolling resistance increased. Further more in case of the vertical load greater than 1200N, negative resistance appeared. Analytical simulation of the travel resistance based on experimental results and static equilibrium equations derived from three-dimension mechanical model for the rubber crawler system. It was found that the simulation method was carried out to evaluate the travel resistance occurred by the rolling resistance of the track roller. The rolling resistance for each track roller arrangement and effects of the lug phase in the right and left rubber crawler could be estimated quantitatively.

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녹색성장 실행을 위한 그린 6시그마 (Green Six Sigma for Green Growth Implementation)

  • 김동준;홍성훈;신완선
    • 품질경영학회지
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    • 제38권4호
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    • pp.521-530
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    • 2010
  • Global regulatory pressures relating climate change and environmental responsibility are asking companies to find out the best way for sustaining their continuous business growths. It could be known that inadequate management for environmental issues are bad for business, negatively affecting brand image, causing unnecessary losses and costs for environmental preservation. For this reason, environmentally conscious green business growth has been recognized as an essential requirement for a company to stay in business. Many companies are looking for green business opportunities of improving their environmental and financial results, and struggling with how green fits into their business. In this paper, the Green Six Sigma, an environmentally conscious Six Sigma methodology, is presented as a way to find solutions for green growths. The Six Sigma is known as a disciplined, data-driven approach and methodology for achieving world-class performance in any process from manufacturing to transactional. In chronological order, the Six Sigma has been evolved from Motorola's quality-oriented methodology to GE's cost-oriented lean approach, and is being evolved and developed as an environment-oriented green growth approach. There is no doubt that the Green Six Sigma, as an engine of green growth, is a power tool for achieving competitive business performance and reducing the impact on the environment.

다목적 실용위성 2호 충격 분리 시험 (Shock Separation Test of KOMPSAT-II)

  • 우성현;김홍배;문상무;김영기;김규선
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2003년도 추계학술대회논문집
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    • pp.1000-1005
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    • 2003
  • The shock separation test simulates the environmental effects of the spacecraft separation from launch vehicle. The shock separation test for a structural model of KOMPSAT-Ⅱ(Korea Multi-Purpose SATellite Ⅱ) was performed in SITC(Satellite Integration & Test Center) launch environmental test hall at KARI(Korea Aerospace Research Institute) to verify the shock test requirement of the spacecraft, to predict the induced acceleration responses on the primary structures and payloads by the explosion of pyre-lock and to perform mechanical fit check. The spacecraft with S/A was mated vertically to LV(Launch Vehicle) adapter simulator via a clamp band, then hoisted and suspended above a foam test bed by four isolation springs secured to the spacecraft hoist fittings to isolate the payload platform shock wave from the sling elements. For separation process, real pyre-devices were used and the time response signals from 60 accelerometers installed on the interested points was acquired and recorded. The SRS responses for each response channels were calculated and the achieved SRS's on the separation plane was reviewed and evaluated in comparison to the ICD(Interface Control Document) value.

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TPS에 의한 가전제품의 생산라인 자동화 구축 (Study on Automatic Production Line for Home Appliance Goods Based on Toyota Production System)

  • 최성대;정선환;유종규
    • 한국산업융합학회 논문집
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    • 제12권2호
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    • pp.85-90
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    • 2009
  • The Toyota production system (TPS) developed by Toyota corporation is a management principle and production model to improve values added through elimination of waste. Since the oil shock in 1970s, the TPS has drawn the worldwide attentions as a main factor of competitiveness of Japanese manufacturing system and has been studied and implemented in many countries regardless of size and types of industry. For the correspondence to various customer's requirement, it is required to establish on time delivery procedure and to shorten lead time. Therefore it intended to establish TPS which is adopted to 7 losses reduction and JIT(Just in Time). In this paper, the automatic production line for color TV manufacturing by TPS was developed and proved to push up two times of productivity, to reduce the 25 workers at a time, and to widen the flexibility of manufacturing from 14" to 25" TV.

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Learning the Covariance Dynamics of a Large-Scale Environment for Informative Path Planning of Unmanned Aerial Vehicle Sensors

  • Park, Soo-Ho;Choi, Han-Lim;Roy, Nicholas;How, Jonathan P.
    • International Journal of Aeronautical and Space Sciences
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    • 제11권4호
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    • pp.326-337
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    • 2010
  • This work addresses problems regarding trajectory planning for unmanned aerial vehicle sensors. Such sensors are used for taking measurements of large nonlinear systems. The sensor investigations presented here entails methods for improving estimations and predictions of large nonlinear systems. Thoroughly understanding the global system state typically requires probabilistic state estimation. Thus, in order to meet this requirement, the goal is to find trajectories such that the measurements along each trajectory minimize the expected error of the predicted state of the system. The considerable nonlinearity of the dynamics governing these systems necessitates the use of computationally costly Monte-Carlo estimation techniques, which are needed to update the state distribution over time. This computational burden renders planning to be infeasible since the search process must calculate the covariance of the posterior state estimate for each candidate path. To resolve this challenge, this work proposes to replace the computationally intensive numerical prediction process with an approximate covariance dynamics model learned using a nonlinear time-series regression. The use of autoregressive time-series featuring a regularized least squares algorithm facilitates the learning of accurate and efficient parametric models. The learned covariance dynamics are demonstrated to outperform other approximation strategies, such as linearization and partial ensemble propagation, when used for trajectory optimization, in terms of accuracy and speed, with examples of simplified weather forecasting.