• 제목/요약/키워드: Overcome Factors

검색결과 1,032건 처리시간 0.025초

스파크 점화 엔진에서 희박연소의 전자제어 히스테리시스 현상에 관한 실험적 연구 (A Experimental Study on the Electronic Control Hysteresis Phenomenon of Lean Burn in Spark Ignition Engine)

  • 김응채;김판호;서병준;김치원;이치우
    • Journal of Advanced Marine Engineering and Technology
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    • 제28권3호
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    • pp.475-481
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    • 2004
  • Recently it is strongly required on lower fuel consumption. lower exhaust emission, higher engine performance. and social demands in a spark ignition gasoline engine. In this study. the experimental engine used at test. it has been modified the lean burn gasoline engine. and used the programmable engine management system, and connected the controller circuit which is designed for the engine control. At the parametric study of the engine experiment, it has been controlled with fuel injection, ignition timing. swirl mode, equivalence ratio engine dynamometer load and speed as the important factors governing the engine performance adaptively. It has been found the combustion characteristics to overcome the hysteresis phenomena between normal and lean air-fuel mixing ranges. by mean of the look-up table set up the mapping values. at the optimum conditions during the engine operation. As the result, it is found that the strength of the swirl flow with the variation of engine speed and load is effective on combustion characteristics to reduce the bandwidth of the hysteresis regions. The results show that mass fraction burned and heat release rate pattern with crank angle are reduced much rather, and brake specific fuel consumption is also reduced simultaneously.

방사형기저함수망을 이용한 열간 사상압연의 압연하중 예측에 관한 연구 (A Study on the Prediction for Rolling Force Using Radial Basis Function Network in Hot Rolling Mill)

  • 손준식;이덕만;김일수;최승갑
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2003년도 추계학술대회
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    • pp.368-373
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    • 2003
  • A major concern at present is the simultaneous control of transverse thickness profile and flatness in the finishing stages of hot rolling process. The mathematical modeling of hot rolling process has long been recognized to be a desirable approach to investigate rolling operating practice and the design of mill equipment to improve productivity and quality. However, many factors make the mathematical analysis of the rolling process very complex and time-consuming. In order to overcome these problems and to obtain an accurate rolling force, the predicted model of rolling force using neural networks has widely been employed. In this paper, Radial Basis Function Network(RBFN) is applied to improve the accuracy of rolling force prediction in hot rolling mill. In order to verify and analysis the performance of applied neural network, the comparison with the measured rolling force and the predicted results using two different neural networks - RBFN, MLP, has respectively been carried out. The results obtained using RBFN neural network are much more accurate those obtained the MLP.

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방사형기저함수망을 이용한 열간 사상압연의 압연하중 예측에 관한 연구 (A Study on the Prediction for Rolling Force Using Radial Basis Function Network in Hot Rolling Mill)

  • 손준식;이덕만;김일수;최승갑
    • 한국공작기계학회논문집
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    • 제13권6호
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    • pp.29-33
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    • 2004
  • A major concern at present is the simultaneous control of transverse thickness profile and flatness in the finishing stages of hot rolling process. The mathematical modeling of hot rolling process has long been recognized to be a desirable approach to investigate rolling operating practice and the design of mill equipment to improve productivity and quality. However, many factors make the mathematical analysis of the rolling process very complex and time-consuming. In order to overcome these problems and to obtain an accurate rolling force, the predicted model of rolling force using neural networks has widely been employed. In this paper, Radial Basis Function Network(RBFN) is applied to improve the accuracy of rolling force prediction in hot rolling mill. In order to verify and analyze the performance of applied neural network the comparison with the measured rolling force and the predicted results using two different neural networks-RBFN, MLP, has respectively been carried out. The results obtained using RBFN neural network are much more accurate those obtained the MLP.

Modeling of unreinforced brick walls under in-plane shear & compression loading

  • Kalali, Arsalan;Kabir, Mohammad Zaman
    • Structural Engineering and Mechanics
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    • 제36권3호
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    • pp.247-278
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    • 2010
  • The study of the seismic vulnerability of masonry buildings requires structural properties of walls such as stiffness, ultimate load capacity, etc. In this article, a method is suggested for modeling the masonry walls under in-plane loading. At the outset, a set of analytical equations was established for determining the elastic properties of an equivalent homogeneous material of masonry. The results for homogenized unreinforced brick walls through detailed modeling were compared in different manners such as solid and perforated walls, in-plane and out-of-plane loading, etc, and it was found that this method provides suitable accuracy in estimation of the wall linear properties. Furthermore, comparison of the results of proposed modeling with experimental out coming indicated that this model considers the non linear properties of the wall such as failure pattern, performance curve and ultimate strength, and would be appropriate to establish a parametric study on those prone factors. The proposed model is complicated; therefore, efforts need to be made in order to overcome the convergency problems which will be included in this study. The nonlinear model is basically semi-macro but through a series of actions, it can be simplified to a macro model.

Breast Cancer Awareness among Saudi Females in Jeddah

  • Radi, Sahar Mahmoud
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권7호
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    • pp.4307-4312
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    • 2013
  • Breast cancer is the most frequent malignancy of women worldwide. It is the leading cause of female cancer related disability and mortality. In Saudi Arabia breast cancer ranks first among cancerous diseases in females. In the Gulf region, and especially in Saudi Arabia, few studies have been conducted to address breast cancer awareness. The purpose of the current study was therefore to investigate the level of breast cancer awareness among Saudi females in Jeddah, focusing on knowledge of breast cancer warning signs, risk factors, screening programs and breast self-examination (BSE). The design of this study was an exploratory correlational analysis. The sample comprised 200 Saudi females aged 20 and older living in Jeddah. Data were collected using face-to-face interviews. Breast cancer awareness was measured using a modified Arabic version of the Breast Cancer Awareness Measure (Breast CAM) version 2. Descriptive statistical analysis, Pearson's Product Moment correlation coefficients and ANOVA test were used to answer study questions. Out of 200 participants, 50.5% were aware of breast lump as a warning sign of breast cancer, 57.5% claimed that family history was risk factor, 20.5% had undergone breast screening, 79% heard about BSE, and 47.5% knew how to perform BSE. Findings indicated that Saudi females level of awareness of breast cancer is very inadequate. Public awareness interventions are needed in order to overcome an ever-increasing burden of this disease among Saudi females.

SEBAL모형을 이용한 증발산량의 추정 금강 상류지역을 대상으로 (Estimation of Evapotranspiration with SEBAL Model in the Geumgang Upper Basin, Korea)

  • 유진웅
    • 한국GIS학회:학술대회논문집
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    • 한국GIS학회 2003년도 공동 춘계학술대회 논문집
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    • pp.517-522
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    • 2003
  • 증발산량의 정확한 산정은 자연현상과 인문현상을 이해하는데 있어 중요하다. 증발산량의 점추정이 갖는 한계를 극복하기 위해 원격탐사를 이용하여 증발산량을 추정하는 방법이 활발히 연구되고 있다. 이 중 SEBAL 모형은 원격탐사 자료를 이용하는 기존의 방법에 비해 소요되는 자료가 적으면서도, 증발산량을 정확하게 추정하는 방법으로 알려지고 있다. 이 연구에서는 우리나라 지형에서 SEBAL 모형의 적용 가능성을 검증하였고, 증발산량 분포의 시공간적 특성을 살펴보았다. 연구 지역은 금강 상류의 보청천 유역이며, Landsat 5 TM영상(1995년 1월 11일, 4월 1일, 5월 3일, 10월 10일, 11월 27일)을 이용하였다.

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오수처리시설의 모듈 네트워크 구성에 의한 제어 및 감시 시스템의 설계방법에 관한 연구 (Study on Design Method of Control & Monitoring System by Module Network Constitution in Sewage Disposal Facility)

  • 박승환;구자일;채수권
    • 전자공학회논문지 IE
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    • 제46권4호
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    • pp.66-72
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    • 2009
  • 환경분야에서 산업화와 도시화에 따른 수질오염의 문제를 해결하기 위해 오수처리시설을 제어 및 감시하는 장치들이 개발 되어 왔다. 본 연구에서는 지역에 설치된 오수처리시설의 구동 모터와 주변 환경 상태를 제어하고 감지하기 위하여 시리얼 인터페이스를 갖는 내부 네트워크로 상호 연결한 효율적인 모듈 시스템의 설계방법에 대하여 제안하였다. 본 연구에서 제안된 방법은 급변하는 환경시장에서 요구되는 조건과 환경인자들의 사양에 대하여 보다 적응성 있고 유연한 설계 기법을 제공하리라 기대된다.

실험적 기관 재건술에 대한 고찰 (Review of Experimental Tracheal Reconstruction)

  • 성숙환;김용희
    • 대한기관식도과학회지
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    • 제7권2호
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    • pp.128-139
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    • 2001
  • The purpose of this study was to review the literatures of experimental tracheal reconstruction. Although there have been significant advancements in the surgical treatment of the long circumferential tracheal injuries, there still has been a difficult problem with high morbidity and mortality. The method for tracheal reconstruction after circumferential resection is preferred end-to-end anastomosis for defects up to 6 cm in length, but larger tracheal defects require the use of tracheal allograft, various artificial prosthesis or autogenous organs. The tracheal allotransplantation has been widely used as there was significantly improved the method of surgical technique, preservation and immunosuppression. But it has been limited by a number of factors such as few donor, limited use of immunosuppressant, delayed revascularization and re-epitheliazation. Experimental studies on the tracheal prosthesis have a long history and they tried to use silicone, polytetrafluoroethylene, polypropylene mesh, Dacron, Marlex mesh, external or internal stents. Other experimental studies were reported the use of autogenous tissues that were cartilage. jejunum, aorta, skin, muscle, periostium or esophagus. But a great variety of these protheses have been resulted unsatisfactory in a significant Proportion of cases. Alternatively, the tissue-engineering technique has showed a new approach to reconstruct trachea and much progress in tissue-engineering bas been made recently. In conclusion, although the tracheal allotransplantation and the use of prosthesis and allograft have been reported a lot of limitation to overcome, we could sooner expect good result of ideal tracheal prosthesis.

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Prediction of the Major Factors for the Analysis of the Erosion Effect on Atomic Oxygen in LEO Satellite Using a Machine Learning Method (LSTM)

  • Kim, You Gwang;Park, Eung Sik;Kim, Byung Chun;Lee, Suk Hoon;Lee, Seo Hyun
    • 항공우주시스템공학회지
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    • 제14권2호
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    • pp.50-56
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    • 2020
  • In this study, we investigated whether long short-term memory (LSTM) can be used in the future to predict F10.7 index data; the F10.7 index is a space environment factor affecting atomic oxygen erosion. Based on this, we compared the prediction performances of LSTM, the Autoregressive integrated moving average (ARIMA) model (which is a traditional statistical prediction model), and the similar pattern searching method used for long-term prediction. The LSTM model yielded superior results compared to the other techniques in the prediction period starting from the max/min points, but presented inferior results in the prediction period including the inflection points. It was found that efficient learning was not achieved, owing to the lack of currently available learning data in the prediction period including the maximum points. To overcome this, we proposed a method to increase the size of the learning samples using the sunspot data and to upgrade the LSTM model.

Seed Transmission Rates of Bean pod mottle virus and Soybean mosaic virus in Soybean May Be Affected by Mixed Infection or Expression of the Kunitz Trypsin Inhibitor

  • Nam, Moon;Bae, Hanhong;Hammond, John;Domier, Leslie L.;Youn, Young-Nam;Lee, Bong-Choon;Lim, Hyoun-Sub
    • 식물병연구
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    • 제19권2호
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    • pp.114-117
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    • 2013
  • To facilitate their spread, plant viruses have developed several methods for dispersal including insect and seed transmission. While insect transmission requires virus stability against insect digestion, seed-transmitted viruses have to overcome barriers to entry into embryos. Bean pod mottle virus (BPMV) is transmitted through seed at levels typically below 0.1%, but co-infection with Soybean mosaic virus (SMV) enhanced the seed transmission rate of BPMV in one experiment. In contrast, the rate of SMV seed transmission was not affected by BPMV co-infection. In a second preliminary study, the rate of SMV transmission was lower in an isoline of Williams 82 that contained a null mutation for the Kunitz trypsin inhibitor gene than in Williams 82. In this preliminary study, we observed that factors such as protease inhibitor expression and dual infection may affect the frequency of seed transmission of BPMV and SMV.