• 제목/요약/키워드: BIN Method

검색결과 1,973건 처리시간 0.027초

와이블 풍속 분포 파라미터 추정을 위한 Ln­least 방법의 확률도시위치 적용 (An Application of the Probability Plotting Positions for the Ln­least Method for Estimating the Parameters of Weibull Wind Speed Distribution)

  • 강동범;고경남
    • 한국태양에너지학회 논문집
    • /
    • 제38권5호
    • /
    • pp.11-25
    • /
    • 2018
  • The Ln-least method is commonly used to estimate the Weibull parameters from the observed wind speed data. In previous studies, the bin method has been used to calculate the cumulative frequency distribution for the Ln-least method. The purpose of this study is to obtain better performance in the Ln-least method by applying probability plotting position(PPP) instead of the bin method. Two types of the wind speed data were used for the analysis. One was the observed wind speed data taken from three sites with different topographical conditions. The other was the virtual wind speed data which were statistically generated by a random variable with known Weibull parameters. Also, ten types of PPP formulas were applied which were Hazen, California, Weibull, Blom, Gringorten, Chegodayev, Cunnane, Tukey, Beard and Median. In addition, in order to suggest the most suitable PPP formula for estimating Weibull parameters, two accuracy tests, the root mean square error(RMSE) and $R^2$ tests, were performed. As a result, all of PPPs showed better performances than the bin method and the best PPP was the Hazen formula. In the RMSE test, compared with the bin method, the Hazen formula increased estimation performance by 38.2% for the observed wind speed data and by 37.0% for the virtual wind speed data. For the $R^2$ test, the Hazen formula improved the performance by 1.2% and 2.7%, respectively. In addition, the performance of the PPP depended on the frequency of low wind speeds and wind speed variability.

안정해석을 통한 공동 일체식 옹벽의 최적높이 평가 (Evaluation on Optimal Height of the Bin Wall using Stability Analysis)

  • 배우석
    • 한국안전학회지
    • /
    • 제24권2호
    • /
    • pp.48-54
    • /
    • 2009
  • Structures to support against slop failures or resist earth pressure like masonry retaining walls or retaining walls have continued to advance and evolve to new eco-friendly, easy-to-construct, crib retaining walls with varied forms and construction methods, meeting the needs of the times. Researches until now, however, have focused on the analyses of site displacement or stability of the whole site including structures like retaining walls, and thus, researches on rational design or method for stability analysis are lacking. Therefore, this study was conducted on a number of stability analyses, such as the visual power line or stability on sliding, being presented for bin walls, which enable vegetation to grow and were developed and applied in varied forms, meeting the development demands for eco-friendly retaining wall structures. This study compared the results of stability analyses, determined their feasibility, and evaluated their stability according to the height and facade slope of retaining walls. According to the results of this study, traditional masonry retaining wall analysis showed rather conservative stability evaluation results in the stability evaluation of bin walls, and the method using the visual power line seems to be objective because it produced similar results to the stability evaluation method on sliding or turnover.

레이저를 이용한 Bin-Picking 방법 (Bin-Picking Method Using Laser)

  • 주기세;한민홍
    • 한국정밀공학회지
    • /
    • 제12권9호
    • /
    • pp.156-166
    • /
    • 1995
  • This paper presents a bin picking method using a slit beam laser in which a robot recognizes all of the unoccluded objects from the top of jumbled objects, and picks them up one by one. Once those unoccluded objects are removed, newly developed unoccluded objects underneath are recognized and the same process is continued until the bin gets empty. To recognize unoccluded objects, a new algotithm to link edges on slices which are generated by the orthogonally mounted laser on the xy table is proposed. The edges on slices are partitioned and classified using convex and concave function with a distance parameter. The edge types on the neighborhood slices are compared, then the hamming distances among identical kinds of edges are extracted as the features of fuzzy membership function. The sugeno fuzzy integration about features is used to determine linked edges. Finally, the pick-up sequence based on MaxMin theory is determined to cause minimal disturbance to the pile. This proposed method may provide a solution to the automation of part handling in manufacturing environments such as in punch press operation or part assembly.

  • PDF

Boundary Elements Heat Transfer Model of Temperature Distribution in Grain Storage Bins

  • T.Abe;C.E.Ofoche;Y.Hikida;Han, D.H.
    • 한국농업기계학회:학술대회논문집
    • /
    • 한국농업기계학회 1993년도 Proceedings of International Conference for Agricultural Machinery and Process Engineering
    • /
    • pp.922-931
    • /
    • 1993
  • Boundary element method was used to solve heat conduction problem for predicting temperature distribution in grain storage bin. Temperature of grain in storage is one of the three main abiotic factors, besides the intergranular gas composition and the grain moisture content, that determine the keeping quality and control measures used to protect grain from insects and damaging microflora. Collecting the temperature data at various points in the storage bins at different time of the day over a period of time is one way of finding the temperature distribution, this method requires a lot of time, cost and labour and less efficient. However data so collected serve useful purpose of being used to validate predicted temperature distribution using mathematical models. Mathematical models based on physical principles can potentially predict with accuracy the temperature distribution in a grain storage bin. Using the boundary element model the effect of bin wall material, ambient emperature, bin size etc. on temperature distribution can be studied. A knowledge of temperature distribution in stored grain not only helps in identifying active deterioration , but also gives an indication of potential for detection.

  • PDF

Bin-picking method using laser

  • Joo, Kisee;Han, Min-Hong
    • 한국경영과학회:학술대회논문집
    • /
    • 대한산업공학회/한국경영과학회 1995년도 춘계공동학술대회논문집; 전남대학교; 28-29 Apr. 1995
    • /
    • pp.306-315
    • /
    • 1995
  • This paper presents a bin picking method using a slit beam laser in which a robot recognizes all of the unoccluded objects from the top of jumbled objects, and picks them up one by one. Once those unoccluded objects are removed, newly developed unoccluded objects underneath are recognized and the same process is continued until the bin gets empty. To recognize unoccluded objects, a new algorithm to link edges on slices which are generated by the orthogonally mounted laser on the xy table is proposed. The edges on slices are partitioned and classified using convex and concave function with a distance parameter. The edge types on the neighborhood slices are compared, then the hamming distances among identical kinds of edges are extracted as the features of fuzzy membership function. The sugeno fuzzy integration about features is used to determine linked edges. Finally, the pick-up sequence based on MaxMin theory is determined to cause minimal disturbance to the pile. This proposed method may provide a solution to the automation of part handling in manufacturing environments such as in punch press operation or part assembly.

  • PDF

철강 코일제품 수송 팔레트의 설계 최적화 (On Optimal Design Methods for Steel Product Pallets)

  • 박종호;임경국;이정원
    • 대한산업공학회지
    • /
    • 제34권4호
    • /
    • pp.470-480
    • /
    • 2008
  • Loading steel coil products on a specialized packing case called pallet can be represented as a bin-packing problem with the special constraint where objects should be loaded on designated positions of bins. In this paper, under assuming that there exist only two types of objects, we focus on finding the optimum number of positions in a bin which minimizes the number of bins needed for packing a collection of objects. Firstly, we propose a method to decide the number of positions and prove that the method is optimum. Finally, for the packing problem using bins designed by the method, we show that the well-known algorithm, First-Fit Decreasing(FFD), is the optimum algorithm.

Advances for the time-dependent Monte Carlo neutron transport analysis in McCARD

  • Sang Hoon Jang;Hyung Jin Shim
    • Nuclear Engineering and Technology
    • /
    • 제55권7호
    • /
    • pp.2712-2722
    • /
    • 2023
  • For an accurate and efficient time-dependent Monte Carlo (TDMC) neutron transport analysis, several advanced methods are newly developed and implemented in the Seoul National University Monte Carlo code, McCARD. For an efficient control of the neutron population, a dynamic weight window method is devised to adjust the weight bounds of the implicit capture in the time bin-by-bin TDMC simulations. A moving geometry module is developed to model a continuous insertion or withdrawal of a control rod. Especially, the history-based batch method for the TDMC calculations is developed to predict the unbiased variance of a bin-wise mean estimate. The developed methods are verified for three-dimensional problems in the C5G7-TD benchmark, showing good agreements with results from a deterministic neutron transport analysis code, nTRACER, within the statistical uncertainty bounds. In addition, the TDMC analysis capability implemented in McCARD is demonstrated to search the optimum detector positions for the pulsed-neutron-source experiments in the Kyoto University Critical Assembly and AGN201K.

Effect of Manufacturing Method and Acidifier on the Dissolution Rate of Carvedilol from Solid Dispersion Formulations

  • Lim, Dong-Kyun;Bae, Jeong-Woo;Song, Byung-Joo;Jo, Han-Su;Kim, Hyoung-Eun;Lee, Dong-Won;Khang, Gil-Son
    • Journal of Pharmaceutical Investigation
    • /
    • 제41권6호
    • /
    • pp.363-369
    • /
    • 2011
  • In this study, we demonstrated the release behavior of carvedilol with the content of polyvinylpyrrolidone K-30 (PVP K-30) and the effect of citric acid and fumaric acid as acidifiers on the release behavior of drug. In addition, it tries to inquire into the release behavior difference of the carvedilol according to the manufacturing method. The release behavior of the tablets was compared with Dilatrand$^{(R)}$ in the simulated gastric fluid (pH1.2). Differential scanning calorimeter (DSC), X-ray diffraction (XRD) and Fourier-transform infrared spectroscopy (FT-IR) were characterized for the physicochemical properties of the tablets. In case of mixing the carvedilol and PVP K-30, in case the ratio of the carvedilol and PVP K-30 was 1:5, the release behavior was the highest among. As well as the dissolution rate of tablets manufactured by lyophilization and rotary evaporator was higher than physical mixture. The dissolution rate of containing acidifiers was more improved. But, rather the excessive amount of the acidifier addition reduced the dissolution rate.

Polyoxalate 및 PLGA 미립구의 혼합 비율별에 따른 Zaltoprofen의 방출거동 (Effect of Ratio of Polyoxalate/PLGA Microspheres on the Release Behavior of Zaltoprofen)

  • 이정근;김경희;김영래;박국빈;김민정;강수지;이동원;강길선
    • 폴리머
    • /
    • 제37권1호
    • /
    • pp.28-33
    • /
    • 2013
  • 잘토프로펜은 프로피온산 유도체인 비스테로이드성 소염진통제로서 카라기난, 나이스타틴에서 유발된 급성염증에 큰 억제 효과를 가지고 있을 뿐만 아니라 급성 및 만성 염증에도 효과를 가지고 있다. 초기 방출 및 지속적인 방출을 위해서 잘토프로펜이 함유된 폴리옥살레이트(POX)와 PLGA 미립구를 각각 O/W 용매증발법으로 제조 후 각각의 미립구의 혼합비율을 달리하였다. 주사현미경, X선 회절 분석법, 시차 주사 열량계, 그리고 적외선 분광 분석기를 이용하여 잘토프로펜이 함유된 미립구의 물리화학적 성질 및 표면형태를 조사하였다. POX 미립구의 혼합비율이 증가할수록 초기 약물방출이 증가하며, PLGA 미립구의 혼합비율이 증가할수록 느린 약물방출을 보인다. 본 연구에서 초기 약물방출량이 높은 POX 미립구를 PLGA 미립구와 혼합비율을 조절함으로써 약물이 함유된 미립구의 초기방출 계수를 제어할 수 있을 것으로 사료된다.

시뮬레이션에 의한 저장 벼의 곡온 예측 (Simulation of Temperature Changes of Rough Rice Stored in Round Steel Bin (I) - Development of a Simulation Model -)

  • 금동혁;김재열;김훈
    • Journal of Biosystems Engineering
    • /
    • 제31권4호
    • /
    • pp.355-362
    • /
    • 2006
  • A one-dimensional heat conduction problem in cylindrical coordinate system was solved using Crank-Nicolson finite difference method to predicting the temperature distribution in rice storage bin with wall insulator. The model can simulate the grain temperatures in insulated round bins using the input data of initial grain temperature. ambient air temperature, wind velocity, solar radiation on a horizontal surface, and thermal properties of grain, bin wall, wall insulator, insulator cover, and air. Temperatures were collected at the bin center, 0.65m in radial direction from the center, and near the bin wall in 2.7m diameter bin filled with rough rice to depth of 3.0m were used to validate the simulation model. Grain temperatures predicted by the model were in very good agreement with the measured temperatures. The residual mean square error between measured and predicted grain temperatures at the bin center was $1.38^{\circ}C$.