• Title/Summary/Keyword: Prediction Ratio

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A Study on the Flexible Disk Deburring Process Arc Zone Parameter Prediction Using Neural Network (신경망을 이용한 유연디스크 디버링가공 아크형상구간 인자예측에 관한 연구)

  • Yoo, Song-Min
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.18 no.6
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    • pp.681-689
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    • 2009
  • Disk grinding was often applied to deburring process in order to enhance the final product quality. Inherent chamfering capability of the flexible disk grinding process in the early stage was analyzed with respect to various process parameters including workpiece length, wheel speed, depth of cut and feed. Initial chamfered edge defined as arc zone was characterized with local radius of curvature. Averaged radius and arc zone ratio was well evaluated using neural network system. Additional neural network analysis adding workpiece length showed enhance performance in predicting arc zone ratio and curvature radius with reduced error rate. A process condition design parameter was estimated using remaining input and output parameters with the prediction error rate lower than 2.0% depending on the relevant input parameter combination and neural network structure composition.

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The Prediction of Emission Concentrations in SI Engine Considering Temperature Gradient in Combustion Chamber (전기점화기관의 연소실 온도구배를 고려한 배출물 농도예측)

  • 신동신;김응서
    • Journal of the korean Society of Automotive Engineers
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    • v.7 no.3
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    • pp.83-93
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    • 1985
  • The prediction of emission concentrations in a 4cycle spark ignition engine was made by considering nonuniform model with thermodynamics, chemical equilibrium and kinetic mechanism of nitric oxide. Calculation of this model shows that a temperature difference of the order of 500K can be established across he cylinder. Results of the kinetic calculation of nitric oxide show that the temperature gradient across the cylinder has a profound effect on the nitric oxide formation. The predicted values for nitric oxide, carbon dioxide and carbon monoxide agree with measured ones for a variety of equivalence ratio.

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The prediction of performane and emission of hydrogen fueled spark ignition engine (수소연료 전기점화기관의 성능 및 배출물 예측)

  • 김응서;노승탁
    • Journal of the korean Society of Automotive Engineers
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    • v.6 no.2
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    • pp.47-54
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    • 1984
  • The predictions of the mean effective pressure and the exhaust emission of NOx in hydrogen fueled spark ignition engine were studied. And the predictions were compared to the experimental results of D.B. Kittelson and H.S.Homan. The modeling was based on Otto cycle and the prediction of NOx was performed by extended Zeldovich mechanism. The differences between predictions and experimental results were 20 - 30% in the mean effective pressure and 10 - 20% in the concentration of NOx where the equivalence ratio .phi. was 0.6 - 0.8.

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IMM-Based Interference Prediction and Power Control for Broadband Wireless Packet Networks (광대역 무선 패킷 통신망에서의 IMM 알고리듬을 이용한 간섭예측 및 전력제어)

  • 정영헌;홍순목
    • Proceedings of the IEEK Conference
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    • 2003.11c
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    • pp.251-254
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    • 2003
  • In this paper, we develop an effective method for estimating and predicting interference power strength using the IMM(Interacting Multiple Model) algorithm. Based on the proposed interference prediction algorithm, we adjust transmission power of mobile terminals to maintain a certain level of target signal - to - interference- plus -noise- ratio ( SINR ) at the base station. Results of numerical experiments are presented to show a performance profile of the proposed algorithm.

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압축 착화 기관의 연소 변동 특성에 관한 연구

  • 이창식
    • Journal of the korean Society of Automotive Engineers
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    • v.9 no.1
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    • pp.69-76
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    • 1987
  • This paper deals with the theoretical prediction and cyclic variation of combustion characteristics in a four stroke, single0cylinder, diesel engine. Theoretical calculations employed a simple empirical model of analysis of energy equation for the thermodynamic system of engine cylinder. The cyclic variation of combustion characteristics is investigated, in term of frequency distribution and standard deviation of peak characteristics, as obtained by combustion analyzer system. The results of theoretical prediction are shown to be in close agreement with the experimental data. The effect of fuel injection timing, engine speed, cooling water temperature, and the compression ratio on the cyclic variations of combustion characteristics were discussed.

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Association between Characteristics of Brain Magnetic Resonance Imaging and Atypical Antipsychotics Use in Dementia Patients (치매 환자에서 뇌 자기공명영상의 특징과 비정형 항정신병 약제 사용여부의 상관 관계)

  • Choi, Jongtaek;Kim, Jiwon;Roh, Yangho;Rhu, Sukhwan;Woo, Sungil;Hahn, Sangwoo;Hwang, Jaeuk
    • Korean Journal of Biological Psychiatry
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    • v.20 no.3
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    • pp.97-103
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    • 2013
  • Objectives We aimed to identify the neuroimaging marker for prediction of the use of atypical antipsychotics (AAP) in dementia patients. Methods From April 2010 to March 2013, 31 patients who were diagnosed as dementia at the psychiatric department of Soonchunhyang University Hospital, completed the brain magnetic resonance imaging scan and cognitive test for dementia. Ten patients were treated with AAP for the improvement of behavioral and psychological symptoms of dementia (BPSD) and the other 21patients were not. Using T1 weighted and Fluid Attenuated Inversion Recovery (FLAIR) images of brain, areas of white matter (WM), gray matter (GM), cerebrospinal fluid (CSF) and white matter hyperintensities (WMH) have been segmented and measured. Multivariate logistic regression models were applied for assessment of association between AAP use and the GM/WM ratio, the WMH/whole brain (GM + WM + CSF) ratio. Results There was a significant association between AAP use and the GM/WM ratio (odds ratio, OR = 1.18, 95% confidence interval, CI 1.01-1.38, p = 0.037), while there was no association between AAP use and the WMH/whole brain ratio (OR = 0.82, 95% CI 0.27-2.48, p = 0.73). Conclusions The GM/WM ratio could be a biological marker for the prediction of AAP use and BPSD in patients with dementia. It was more likely to increase as dementia progress since atrophy of WM was more prominent than that of GM over aging.

Prediction of Compressive Strength of Fly Ash Concrete by a New Apparent Activation Energy Function (새로운 겉보기 활성에너지 함수에 의한 플라이애시 콘크리트의 압축강도 예측)

  • 한상훈;김진근;박연동
    • Journal of the Korea Concrete Institute
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    • v.13 no.3
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    • pp.237-243
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    • 2001
  • The prediction model is proposed to estimate the variation of compressive strength of fly ash concrete with aging. After analyzing the experimental result with the model, the regression results are presented according to fly ash replacement content and water-cement ratio. Based on the regression results, the influence of fly ash replacement content and water-cement ratio on apparent activation energy was investigated. According to the analysis, the model provides a good estimate of compressive strength development of fly ash concrete with aging. As the fly ash replacement content increases, the limiting relative compressive strength and initial apparent activation energy become greater. The concrete with water-cement ratio smaller than 0.40 shows that the limiting relative compressive strength and apparent activation energy are nearly constant according to water-cement ratio. But, the concrete with water-cement ratio greater than 0.40 has the increasing limiting relative compressive strength and apparent activation energy with increasing water-cement ratio.

Empirical seismic vulnerability probability prediction model of RC structures considering historical field observation

  • Si-Qi Li;Hong-Bo Liu;Ke Du;Jia-Cheng Han;Yi-Ru Li;Li-Hui Yin
    • Structural Engineering and Mechanics
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    • v.86 no.4
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    • pp.547-571
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    • 2023
  • To deeply probe the actual earthquake level and fragility of typical reinforced concrete (RC) structures under multiple intensity grades, considering diachronic measurement building stock samples and actual observations of representative catastrophic earth shocks in China from 1990 to 2010, RC structures were divided into traditional RC structures (TRCs) and bottom reinforced concrete frame seismic wall masonry (BFM) structures, and the empirical damage characteristics and mechanisms were analysed. A great deal of statistics and induction were developed on the historical experience investigation data of 59 typical catastrophic earthquakes in 9 provinces of China. The database and fragility matrix prediction model were established with TRCs of 4,122.5284×104 m2 and 5,844 buildings and BFMs of 5,872 buildings as empirical seismic damage samples. By employing the methods of structural damage probability and statistics, nonlinear prediction of seismic vulnerability, and numerical and applied functional analysis, the comparison matrix of actual fragility probability prediction of TRC and BFM in multiple intensity regions under the latest version of China's macrointensity standard was established. A novel nonlinear regression prediction model of seismic vulnerability was proposed, and prediction models considering the seismic damage ratio and transcendental probability parameters were constructed. The time-varying vulnerability comparative model of the sample database was developed according to the different periods of multiple earthquakes. The new calculation method of the average fragility prediction index (AFPI) matrix parameter model has been proposed to predict the seismic fragility of an areal RC structure.

Development and its APPLIcation of Computer Program for Slope Hazards Prediction using Decision Tree Model (의사결정나무모형을 이용한 급경사지재해 예측프로그램 개발 및 적용)

  • Song, Young-Suk;Cho, Yong-Chan;Seo, Yong-Seok;Ahn, Sang-Ro
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.2C
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    • pp.59-69
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    • 2009
  • Based on the data obtained from field investigation and soil testing to slope hazards occurrence section and non-occurrence section in crystalline rocks like gneiss, granite, and so on, a prediction model was developed by the use of a decision tree model. The classification standard of the selected prediction model is composed of the slope angle, the coefficient of permeability and the void ratio in the order. The computer program, SHAPP ver. 1.0 for prediction of slope hazards around an important national facilities using GIS technique and the developed model. To prove the developed prediction model and the computer program, the field data surveyed from Jumunjin, Gangneung city were compared with the prediction result in the same site. As the result of comparison, the real occurrence location of slope hazards was similar to the predicted section. Through the continuous study, the accuracy about prediction result of slope hazards will be upgraded and the computer program will be commonly used in practical.

Prediction of State of Cutting Surfaces of Polymers by Analysis of Indentation Load-depth Curve (압입하중-변위곡선 분석을 통한 폴리머 소재의 절삭표면상태 예측에 관한 연구)

  • Jeon, Eun-Chae;Kim, Jae-Hyun;Je, Tae-Jin
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.10 no.4
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    • pp.76-81
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    • 2011
  • UV imprinting process can manufacture high-functional optical components with low cost. If hard polymers can be used as transparent molds at this process, the cost will be much lower. However, there are limited researches to predict the machinability and the burr of hard polymers. Therefore, a new method to predict them by analyzing load-depth curves which can be obtained by the instrumented indentation test was developed in this study. The load-depth curve contains elastic deformation and plastic deformation simultaneously. The ratio of the plastic deformation over the sum of the two deformation is proportional to the ductility of materials which is one of the parameters of the machinability and the burr. The instrumented indentation tests were performed on the transparent molds of the hard polymers and the values of ratio were calculated. The machinability and the burr of three kinds of hard polymers were predicted by the ratio, and the prediction was in agreement with the experimental results from the machined surfaces of the three kinds of hard polymers.