• 제목/요약/키워드: OPTIMAL RANGE

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DNN 모델을 이용한 기계 학습 기반 k-최근접 질의 처리 최적화 기법 (k-NN Query Optimization Scheme Based on Machine Learning Using a DNN Model)

  • 위지원;최도진;이현병;임종태;임헌진;복경수;유재수
    • 한국콘텐츠학회논문지
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    • 제20권10호
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    • pp.715-725
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    • 2020
  • 본 논문에서는 고차원의 특징 벡터에서 질의와 가장 가까운 k개의 데이터를 찾는 k-최근접 질의 최적화 방법을 제안한다. k-최근접 질의는 k개의 데이터를 포함할 가능성이 있는 범위를 기반으로 범위 질의로 변환되어 처리하는 기법이다. 본 논문에서는 처리 비용을 감소시키고 검색 속도를 가속화 할 수 있는 최적의 범위를 도출하기 위해 k-최근접 질의 처리 시 DNN 모델을 이용한 최적화 기법을 제안한다. 제안하는 기법은 온라인 모듈과 오프라인 모듈로 구성된다. 온라인 모듈에서는 클라이언트로부터 요청을 받아 실제 질의를 처리한다. 오프라인 모듈에서는 과거 최적화 기법의 결과를 학습 로그로 사용한 DNN 모델로 최적의 범위를 도출하고 온라인 모듈로 전달한다. 제안하는 기법의 우수성 및 타당성의 입증을 위하여 다양한 성능 평가를 수행한다.

반응속도 분석을 통한 돈분의 탄화 온도 적정범위 평가 (Evaluation on Adequate Range of Carbonization Temperature using Swine Manure through Reaction Kinetics)

  • 최형진;이승희
    • 자원리싸이클링
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    • 제26권2호
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    • pp.25-32
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    • 2017
  • 돈분 자체의 저위 발열량은 859~1,075 kcal/kg로 낮게 나타나 열처리 중 한 공정인 탄화공정에 의한 연료의 개질이 필요하다. 돈분의 탄화 공정에서 가장 중요한 인자는 탄화 온도이며 본 연구에서는 탄화온도에 대한 적정 범위의 평가가 돈분의 열적 특성과 돈분의 탄화 반응속도를 통하여 이루어졌다. 열적 특성 분석 결과, 적정 탄화 온도는 높은 수율과 흡열 반응이 일어나는 $240{\sim}320^{\circ}C$로 평가되었다. 돈분 탄화공정에서의 반응속도는 1차 반응식과 Arrhenius 식을 통하여 나타내었으며, 빈도인자(lnA)는 3.05~13.08, 활성화 에너지는 6.94~18.05 kcal/mol로 평가되었다. 돈분 탄화 공정의 높은 효율과 돈분 내부로의 충분한 열전달을 위하여 최적 탄화 시간을 5~20 min로 설정하였을 때, 적정 탄화 온도의 범위는 $260{\sim}300^{\circ}C$로 나타났다.

Genetic Algorithm based Methodology for an Single-Hop Metro WDM Networks

  • Yang, Hyo-Sik;Kim, Sung-Il;Shin, Wee-Jae
    • 융합신호처리학회 학술대회논문집
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    • 한국신호처리시스템학회 2005년도 추계학술대회 논문집
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    • pp.306-309
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    • 2005
  • We consider the multi-objective optimization of a multi-service arrayed-waveguide grating-based single-hop metro WDM network with the two conflicting objectives of maximizing throughput while minimizing delay. We develop and evaluate a genetic algorithm based methodology for finding the optimal throughput-delay tradeoff curve, the so-called Pareto-optimal frontier. Our methodology provides the network architecture and the Medium Access Control protocol parameters that achieve the Pareto-optima in a computationally efficient manner. The numerical results obtained with our methodology provide the Pareto-optimal network planning and operation solution for a wide range of traffic scenarios. The presented methodology is applicable to other networks with a similar throughput-delay tradeoff.

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5kW급 인라인 마이크로 수차 설계에 대한 연구 (The Study on Design of the 5kW Class Inline Micro-Turbine)

  • 박상언;노형운
    • 한국유체기계학회 논문집
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    • 제15권3호
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    • pp.32-38
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    • 2012
  • This paper is aimed to propose the design database(DB) of the inline micro-turbine for 5kW class. CFD analysis is performed to investigate the effect of a turbine on each parameter. This study showed that RadhaKrishna's data is different from the 5kW class in the low-head and the micro-turbine. Therefore, new DB for the design of inline micro-turbine for 5kW class could be needed. This study configured new design DB for the design of inline micro-turbine for 5kW class. The DB of this study showed that the optimal hub ratio(Dp/DR), the optimal body ratio(Db/DR) and the optimal range of body length ratio(Lh/DR) is 50%, 1.1 and 2.3 to 2.9, respectively.

무선 센서 노드용 진동형 마이크로 압전 에너지 하베스팅 설계 및 분석 (Design and analysis of vibration micro piezoelectric energy harvesting for wireless sensor nodes)

  • 윤규형;정귀상
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2009년도 추계학술대회 논문집
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    • pp.277-277
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    • 2009
  • In this paper, PMPG (Piezoelectric Micro Power Generator) was investigated by ANSYS FEA (Finite Element Analysis) to decrease operating frequency and improve out power. The micro power generator was designed to convert ambient vibration energy to electrical power as a ZnO piezoelectric material. To find optimal model in low vibration ambient, the shape of power generator was changed with different membrane width, thickness, length, and proof mass size. Used the ANSYS modal analysis, bending mode and stress distribution of optimal model were analyzed. Also, the displacement with the frequency range was analyzed by harmonic analysis. From the simulation results, the resonance frequency of optimal model is about 373 Hz and confirmed the possibility of ZnO micro power generator for wireless sensor node applications.

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Optimal Sliding Mode Control of Anti-Lock Braking System

  • Ebrahimirad, H.;Yazdanpanah, M. J.;Kazemi, R.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.1608-1611
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    • 2004
  • Anti-lock brake systems (ABS) are being increasingly used in a wide range of applications due to safety. This paper deals with a high performance optimal sliding mode controller for slip-ratio control in the ABS. In this approach a sliding surface square is considered as an appropriate cost function. The optimum brake torque as a system input is determined by minimizing the cost function and used in the controller. Simulation results reveal the effectiveness of the proposed sliding mode controller.

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GA와 상용설계기법을 이용한 저속전기자동차용 SRM의 최적화 설계 (Optimal Design of SR Machine for LSEV using CAD and Genetic Algorithm)

  • 김태형;안진우
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제54권7호
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    • pp.317-322
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    • 2005
  • Advantages of switched reluctance motor(SRM) include a simple structure, the ability of operation in hash environments and under partial hardware failures, and a wide speed range. However design of SRM for industrial applications is very difficult because motor's inherent none-linearity and sensitivity of design parameter. In this paper, an optimal method for determining design parameters of a switched reluctance motor is researched. The dominant design parameters are stator and rotor pole arc and switching on and off angle. The parameters affecting performance are examined and selected using evolutionary computations and commercial CAD Program. The proposed design process is very fast. reliable and easy to access. The simulated design method proposed is compared with conventional procedure.

탐지확률 분석에 의한 입수점 선정 알고리듬 개발 방안 (A Development Method for Water Entry Point Selection Algorithm by Detection Probability Analysis)

  • 조성봉
    • 한국군사과학기술학회지
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    • 제10권4호
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    • pp.30-37
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    • 2007
  • In this paper, Water Entry Point Selection Algorithm(WEPSA) for selecting an optimal Water Entry Point of anti-submarine missiles which maximizes Detection Probability about a given target was investigated. WEPSA is a method which decides the position of an optimal Water Entry Point with calculating the target Detection Probability of a torpedo in the whole domain which centered by the target, performing the Monte-Carlo Simulations which include errors for the target informations and for weapon delivery. We can decide an optimal Water Entry Point of anti-submarine missiles which maximizes Detection Probability about a given target with WEPSA, if we get target informations about target range, target bearing, target speed and target course from Combat Systems.

천공상태에 따른 오피스 창호의 적정 투과율 선정 (Selection to the Optimal Windows Transmittance of Office Building on Sky Conditions)

  • 임오연;김병수
    • 한국실내디자인학회논문집
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    • 제38호
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    • pp.225-232
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    • 2003
  • The purpose of this study is to select the optimal and minimum transmittance for visual amenity in office buildings. This study progressed as follows. The first, we select 5 films with various transmittance based on the current film makers whose films being used on the windows of office building nowadays and the case study of construction. And then we choose 6 kinds of transmittance as evaluation object including plain glass. The second, we made a mock-up models having different transmittance on the southern windows with model of real scale office building. The third, we select 17 pairs of adjectives for the evaluation of visual comfort on interior or exterior conditions with transmittance factor. The fourth, subjective evaluation experiment was done using selected evaluation adjectives and the result was analyzed. The results are as follows : the minimum transmittance appropriate for the office building is 30%∼40% and the optimal transmittance range is 40%∼60%.

민감도 근사해석법을 이용한 굴삭기 붐의 최적형상설계 (Optimal Shape Design of Excavator Boom Using the Semi-Analytical Method)

  • 임오강;조헌
    • 대한기계학회논문집
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    • 제19권1호
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    • pp.301-309
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    • 1995
  • Shape optimal design of an excavator boom to minimize weight can be formulated as a nonlinear programming problem with an automesh refinement carried out by using the finite element method. The design variables are the radii and the coordinates of the circle to describe the excavator boundary shape. In addition to the displacement and stress constraints, geometric constraints are imposed such that the nodes cannot cross the certain range. The optimum design is obtained by using the PLBA nonlinear programming code. The sensitivity derivatives are calculated using the semi-analytical scheme. Numerical results of an excavator boom show potential for weight reduction of 4.4%(65.6 kgf) when considering the displacement, stress and geometric constraints.