• Title/Summary/Keyword: Two stage approach

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Finite volume method for incompressible flows with unstructured triangular grids (비정렬 삼각격자 유한체적법에 의한 비압축성유동 해석)

  • ;;Kim, Jong-Tae;Maeng, Joo-Sung
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.19 no.11
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    • pp.3031-3040
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    • 1995
  • Two-dimensional incompressible Navier-Stokes equations have been solved by the node-centered finite volume method with the unstructured triangular meshes. The pressure-velocity coupling is handled by the artificial compressibility algorithm due to its computational efficiency associated with the hyperbolic nature of the resulting equations. The convective fluxes are obtained by the Roe's flux difference splitting scheme using edge-based connectivities and higher-order differences are achieved by a reconstruction procedure. The time integration is based on an explicit four-stage Runge-Kutta scheme. Numerical procedures with local time stepping and implicit residual smoothing have been implemented to accelerate the convergence for the steady-state solutions. Comparisons with experimental data and other numerical results have proven accuracy and efficiency of the present unstructured approach.

Fuzzy approach to elevator group control system

  • Kim, Chang-Bum;Seong, Kyoung-A;Lee, Hyung-Kwang;Kim, Jeong-O;Lim, Yong-Bae
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.1218-1221
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    • 1993
  • The elevator group control systems are the control systems that manage systematically three or more elevators in order to efficiently transport the passingers. In the elevator group control system, the area-weight which determines the load biases of elevators is a control parameter closely related to the system performance. This paper proposes a fuzzy model based method to determine the are-weight. The proposed method uses a two-stage fuzzy inference model which is built by the study of area-weight properties and expert knowledge. The proposed method shows the more desirable results than the conventional method in the simulations that use real traffic data.

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Design of Unequal Error Protection for MIMO-OFDM Systems with Hierarchical Signal Constellations

  • Noh, Yu-Jin;Lee, Heun-Chul;Lee, Won-Jun;Lee, In-Kyu
    • Journal of Communications and Networks
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    • v.9 no.2
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    • pp.167-176
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    • 2007
  • In multimedia communication systems, efficient transmission system design should incorporate the use of matching unequal error protection (UEP), since source coders exhibit unequal bit error sensitivity. In this paper, we present UEP schemes which exploit differences in bit error protection levels in orthogonal frequency division multiplexing (OFDM) systems over frequency selective fading channels. We introduce an UEP scheme which improves the link performance with multiple transmit and receive antennas. Especially, we propose a new receiver structure based on two stage Maximum Likelihood detection (MLD) schemes which can approach the performance of a full search MLD receiver with much reduced computational complexity. In the performance analysis, we derive a generalized pairwise error probability expression for the proposed UEP schemes. Simulation results show that the proposed schemes achieve a significant performance gain over the conventional equal error protection (EEP) scheme.

A Forecasting System for KOSPI 200 Option Trading using Artificial Neural Network Ensemble (인공신경망 앙상블을 이용한 옵션 투자예측 시스템)

  • 이재식;송영균;허성회
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2000.11a
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    • pp.489-497
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    • 2000
  • After IMF situation, the money market environment is changing rapidly. Therefore, many companies including financial institutions and many individual investors are concerned about forecasting the money market, and they make an effort to insure the various profit and hedge methods using derivatives like option, futures and swap. In this research, we developed a prototype of forecasting system for KOSPI 200 option, especially call option, trading using artificial neural networks(ANN), To avoid the overfitting problem and the problem involved int the choice of ANN structure and parameters, we employed the ANN ensemble approach. We conducted two types of simulation. One is conducted with the hold signals taken into account, and the other is conducted without hold signals. Even though our models show low accuracy for the sample set extracted from the data collected in the early stage of IMF situation, they perform better in terms of profit and stability than the model that uses only the theoretical price.

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Three Phase BLDC Motor Drive System using High Efficiency Resonant Boost Converter with Power Factor Correction (역률제어 기능을 갖는 고효율 공진형 컨버터를 이용한 3상 BLDC 전동기 구동 시스템)

  • Lee, Hee-Jun;Park, Sang-Hoon;Park, So-Ri;Won, Chung-Yuen;Jung, Yong-Chae;Kim, Young-Real
    • Proceedings of the KIPE Conference
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    • 2008.10a
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    • pp.150-153
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    • 2008
  • This paper presents soft-switching boost converter adding to auxiliary switch and resonant circuit in conventional boost converter. This approach features a two power stage which implements both conventional BLDC motor speed control and input power factor correction. This converter is especially useful in application such as home appliance. Theoretical analysis and simulation results are presented.

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Virtual Prototyping of Area-Based Fast Image Stitching Algorithm

  • Mudragada, Lakshmi Kalyani;Lee, Kye-Shin;Kim, Byung-Gyu
    • Journal of Multimedia Information System
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    • v.6 no.1
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    • pp.7-14
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    • 2019
  • This work presents a virtual prototyping design approach for an area-based image stitching hardware. The virtual hardware obtained from virtual prototyping is equivalent to the conceptual algorithm, yet the conceptual blocks are linked to the actual circuit components including the memory, logic gates, and arithmetic units. Through the proposed method, the overall structure, size, and computation speed of the actual hardware can be estimated in the early design stage. As a result, the optimized virtual hardware facilitates the hardware implementation by eliminating trail design and redundant simulation steps to optimize the hardware performance. In order to verify the feasibility of the proposed method, the virtual hardware of an image stitching platform has been realized, where it required 10,522,368 clock cycles to stitch two $1280{\times}1024$ sized images. Furthermore, with a clock frequency of 250MHz, the estimated computation time of the proposed virtual hardware is 0.877sec, which is 10x faster than the software-based image stitch platform using MATLAB.

Classification and Analysis of Human Error Accidents of Helicopter Pilots in Korea (국내 헬리콥터 조종사 인적오류 사고 분류 및 분석)

  • Yu, TaeJung;Kwon, YoungGuk;Song, Byeong-Heum
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.28 no.4
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    • pp.21-31
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    • 2020
  • There are two to three helicopter accidents every year in Korea, representing 5.7 deaths per 100,000 flights. In this study, an analysis was conducted on helicopter accidents that occurred in Korea from 2005 to 2017. The accident analysis was based on the aircraft accident and incident report published by the Aircraft and Railway Accident Investigation Board. This Research analyzed the characteristics of accidents occurring in Korea caused by human error by pilots. Accident analysis was done by classifying the organization, flight mission, aircraft class, flight stage, accident cause, etc. Pilot's huan error was classified as Skill-based error, decision error and perceptual error in accordance with the HFACS taxonomy. The accidents caused by pilot's human error were classified into five categories: powerlines collision, loss of control, fuel exhaustion, unstable approach to reservoir, and elimination of tail rotor.

Responses to Justice through Job Attitude (직무태도를 매개로 한 공정성인식에 따른 반응 행동)

  • Huh, Byungjun;Lee, Hyoung-Yong
    • Knowledge Management Research
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    • v.22 no.2
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    • pp.269-288
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    • 2021
  • In a rapidly changing corporate environment, the relationship among organizational justice, job attitude, and cynicism as factors influencing exit, voice, loyalty, and neglect that can promote the performance improvement of organizational members was analyzed with the PLS (Partial Least Squares) structural equation in two stage approach. Organizational justice constitutes a formative secondary factor by the first order of distributional justice, procedural justice, and interactional justice, and job attitude is a formative secondary factor of job satisfaction and organizational commitment. We analyze the direct and indirect effects by mediating relationships of cynicism and job attitude on the factors such as exit, voice, loyalty, and neglect. From the perspectives of knowledge management, we analyzed how the perception of organizational justice affects the overall performance of the organization through the improvement of the employees' performance.

A Study on the Spread of YouTube Political Issues and the Attribution of the Issue, Focusing on the Issue of the Constitutional Court's Ruling on the 'Complete deprivation of prosecutorial powers' Act (유튜브 정치 이슈의 확산 양산과 이슈 속성 연구: '검수완박' 법안 헌법재판소 판결 이슈를 중심으로)

  • Insool Cho;Juhyun Hong
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.193-203
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    • 2024
  • In a situation where news usage through YouTube is rapidly increasing, this study investigated which attributes of issues news producers prominently report on based on the two-stage agenda setting theory to empirically investigate the influence of various news producers on YouTube. Through the research results, we confirmed that broadcasters have the influence to set the agenda and form public opinion on YouTube, and discovered the possibility of a two-stage agenda setting effect occurring in the YouTube environment. We criticized whether news producers abuse emotional words due to their partisanship when reporting political issues, and discussed that an emotional approach to political issues can have a negative impact on news users' perception of reality.

Evaluating Reverse Logistics Networks with Centralized Centers : Hybrid Genetic Algorithm Approach (집중형센터를 가진 역물류네트워크 평가 : 혼합형 유전알고리즘 접근법)

  • Yun, YoungSu
    • Journal of Intelligence and Information Systems
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    • v.19 no.4
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    • pp.55-79
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    • 2013
  • In this paper, we propose a hybrid genetic algorithm (HGA) approach to effectively solve the reverse logistics network with centralized centers (RLNCC). For the proposed HGA approach, genetic algorithm (GA) is used as a main algorithm. For implementing GA, a new bit-string representation scheme using 0 and 1 values is suggested, which can easily make initial population of GA. As genetic operators, the elitist strategy in enlarged sampling space developed by Gen and Chang (1997), a new two-point crossover operator, and a new random mutation operator are used for selection, crossover and mutation, respectively. For hybrid concept of GA, an iterative hill climbing method (IHCM) developed by Michalewicz (1994) is inserted into HGA search loop. The IHCM is one of local search techniques and precisely explores the space converged by GA search. The RLNCC is composed of collection centers, remanufacturing centers, redistribution centers, and secondary markets in reverse logistics networks. Of the centers and secondary markets, only one collection center, remanufacturing center, redistribution center, and secondary market should be opened in reverse logistics networks. Some assumptions are considered for effectively implementing the RLNCC The RLNCC is represented by a mixed integer programming (MIP) model using indexes, parameters and decision variables. The objective function of the MIP model is to minimize the total cost which is consisted of transportation cost, fixed cost, and handling cost. The transportation cost is obtained by transporting the returned products between each centers and secondary markets. The fixed cost is calculated by opening or closing decision at each center and secondary markets. That is, if there are three collection centers (the opening costs of collection center 1 2, and 3 are 10.5, 12.1, 8.9, respectively), and the collection center 1 is opened and the remainders are all closed, then the fixed cost is 10.5. The handling cost means the cost of treating the products returned from customers at each center and secondary markets which are opened at each RLNCC stage. The RLNCC is solved by the proposed HGA approach. In numerical experiment, the proposed HGA and a conventional competing approach is compared with each other using various measures of performance. For the conventional competing approach, the GA approach by Yun (2013) is used. The GA approach has not any local search technique such as the IHCM proposed the HGA approach. As measures of performance, CPU time, optimal solution, and optimal setting are used. Two types of the RLNCC with different numbers of customers, collection centers, remanufacturing centers, redistribution centers and secondary markets are presented for comparing the performances of the HGA and GA approaches. The MIP models using the two types of the RLNCC are programmed by Visual Basic Version 6.0, and the computer implementing environment is the IBM compatible PC with 3.06Ghz CPU speed and 1GB RAM on Windows XP. The parameters used in the HGA and GA approaches are that the total number of generations is 10,000, population size 20, crossover rate 0.5, mutation rate 0.1, and the search range for the IHCM is 2.0. Total 20 iterations are made for eliminating the randomness of the searches of the HGA and GA approaches. With performance comparisons, network representations by opening/closing decision, and convergence processes using two types of the RLNCCs, the experimental result shows that the HGA has significantly better performance in terms of the optimal solution than the GA, though the GA is slightly quicker than the HGA in terms of the CPU time. Finally, it has been proved that the proposed HGA approach is more efficient than conventional GA approach in two types of the RLNCC since the former has a GA search process as well as a local search process for additional search scheme, while the latter has a GA search process alone. For a future study, much more large-sized RLNCCs will be tested for robustness of our approach.