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Outside Temperature Prediction Based on Artificial Neural Network for Estimating the Heating Load in Greenhouse (인공신경망 기반 온실 외부 온도 예측을 통한 난방부하 추정)

  • Kim, Sang Yeob;Park, Kyoung Sub;Ryu, Keun Ho
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.4
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    • pp.129-134
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    • 2018
  • Recently, the artificial neural network (ANN) model is a promising technique in the prediction, numerical control, robot control and pattern recognition. We predicted the outside temperature of greenhouse using ANN and utilized the model in greenhouse control. The performance of ANN model was evaluated and compared with multiple regression model(MRM) and support vector machine (SVM) model. The 10-fold cross validation was used as the evaluation method. In order to improve the prediction performance, the data reduction was performed by correlation analysis and new factor were extracted from measured data to improve the reliability of training data. The backpropagation algorithm was used for constructing ANN, multiple regression model was constructed by M5 method. And SVM model was constructed by epsilon-SVM method. As the result showed that the RMSE (Root Mean Squared Error) value of ANN, MRM and SVM were 0.9256, 1.8503 and 7.5521 respectively. In addition, by applying the prediction model to greenhouse heating load calculation, it can increase the income by reducing the energy cost in the greenhouse. The heating load of the experimented greenhouse was 3326.4kcal/h and the fuel consumption was estimated to be 453.8L as the total heating time is $10000^{\circ}C/h$. Therefore, data mining technology of ANN can be applied to various agricultural fields such as precise greenhouse control, cultivation techniques, and harvest prediction, thereby contributing to the development of smart agriculture.

Surgical Results of Third or More Cardiac Valve Operation

  • Sohn, Suk Ho;Hwang, Ho Young;Kim, Kyung-Hwan;Kim, Ki-Bong;Ahn, Hyuk
    • Journal of Chest Surgery
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    • v.48 no.1
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    • pp.25-32
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    • 2015
  • Background: We evaluated operative outcomes after third or more cardiac operations for valvular heart disease, and analyzed whether pericardial coverage with artificial membrane is helpful for subsequent reoperation. Methods: From 2000 to 2012, 149 patients (male : female=70 : 79; mean age at operation, $57.0{\pm}11.3$ years) underwent their third to fifth operations for valvular heart disease. Early results were compared between patients who underwent their third operation (n=114) and those who underwent fourth or fifth operation (n=35). Outcomes were also compared between 71 patients who had their pericardium open during the previous operation and 27 patients who had artificial membrane coverage. Results: Intraoperative adverse events occurred in 22 patients (14.8%). Right atrium (n=6) and innominate vein (n=5) were most frequently injured. In-hospital mortality rate was 9.4%. Total cardiopulmonary bypass time ($225{\pm}77$ minutes vs. $287{\pm}134$ minutes, p=0.012) and the time required to prepare aortic cross clamp ($209{\pm}57$ minutes vs. $259{\pm}68$ minutes, p<0.001) increased as reoperations were repeated. However, intraoperative event rate (13.2% vs. 20.0%), in-hospital mortality (9.6% vs. 8.6%) and postoperative complications were not statistically different according to the number of previous operations. Pericardial closure using artificial membrane at previous operation was not beneficial in reducing intraoperative events (25.9% vs. 18.3%) and shortening operation time preparing aortic cross clamp ($248{\pm}64$ minutes vs. $225{\pm}59$ minutes) as compared to no-closure. Conclusion: Clinical outcomes of the third or more operations for valvular heart disease were acceptable in terms of intraoperative adverse events and in-hospital mortality rates. There were no differences in the incidence of intraoperative adverse events, early mortality and postoperative complications between third cardiac operation and fourth or more.

Development of Steel Composite Cable Stayed Bridge Weigh-in-Motion System using Artificial Neural Network (인공신경망을 이용한 강합성 사장교 차량하중분석시스템 개발)

  • Park, Min-Seok;Jo, Byung-Wan;Lee, Jungwhee;Kim, Sungkon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.6A
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    • pp.799-808
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    • 2008
  • The analysis of vehicular loads reflecting the domestic traffic circumstances is necessary for the development of adequate design live load models in the analysis and design of cable-supported bridges or the development of fatigue load models to predict the remaining lifespan of the bridges. This study intends to develop an ANN(artificial neural network)-based Bridge WIM system and Influence line-based Bridge WIM system for obtaining information concerning the loads conditions of vehicles crossing bridge structures by exploiting the signals measured by strain gauges installed at the bottom surface of the bridge superstructure. This study relies on experimental data corresponding to the travelling of hundreds of random vehicles rather than on theoretical data generated through numerical simulations to secure data sets for the training and test of the ANN. In addition, data acquired from 3 types of vehicles weighed statically at measurement station and then crossing the bridge repeatedly are also exploited to examine the accuracy of the trained ANN. The results obtained through the proposed ANN-based analysis method, the influence line analysis method considering the local behavior of the bridge are compared for an example cable-stayed bridge. In view of the results related to the cable-stayed bridge, the cross beam ANN analysis method appears to provide more remarkable load analysis results than the cross beam influence line method.

Perceived Relevance of Educative Information on Public (Skin) Health: A Cross-sectional Questionnaire Survey

  • Haluza, Daniela;Cervinka, Renate
    • Journal of Preventive Medicine and Public Health
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    • v.46 no.2
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    • pp.82-88
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    • 2013
  • Objectives: Unprotected leisure time exposure to ultraviolet radiation from the sun or artificial tanning beds is the most important environmental risk factor for melanoma, a malignant skin cancer with increasing incidences over the past decades. The aim of the present study was to assess the impact of skin health information provided by several sources and different publishing issues on knowledge, risk perception, and sun protective behavior of sunbathers. Methods: A cross-sectional questionnaire survey was conducted among Austrian residents (n=563) spending leisure time outdoors in August 2010. Results: Print media, television, and family were perceived as the most relevant sources of information on skin health, whereas the source physician was only ranked as fourth important source. Compared to other sources, information provided by doctors positively influenced participants' knowledge on skin risk and sun protective behavior resulting in higher scores in the knowledge test (p=0.009), higher risk perception (p<0.001), and more sun protection (p<0.001). Regarding gender differences, internet was more often used by males as health information source, whereas females were more familiar with printed information material in general. Conclusions: The results of this survey put emphasis on the demand for information provided by medical professionals in order to attain effective, long-lasting promotion of photoprotective habits.

Influence on overfitting and reliability due to change in training data

  • Kim, Sung-Hyeock;Oh, Sang-Jin;Yoon, Geun-Young;Jung, Yong-Gyu;Kang, Min-Soo
    • International Journal of Advanced Culture Technology
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    • v.5 no.2
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    • pp.82-89
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    • 2017
  • The range of problems that can be handled by the activation of big data and the development of hardware has been rapidly expanded and machine learning such as deep learning has become a very versatile technology. In this paper, mnist data set is used as experimental data, and the Cross Entropy function is used as a loss model for evaluating the efficiency of machine learning, and the value of the loss function in the steepest descent method is We applied the GradientDescentOptimize algorithm to minimize and updated weight and bias via backpropagation. In this way we analyze optimal reliability value corresponding to the number of exercises and optimal reliability value without overfitting. And comparing the overfitting time according to the number of data changes based on the number of training times, when the training frequency was 1110 times, we obtained the result of 92%, which is the optimal reliability value without overfitting.

Cross Infectivity of Nuclear Polyhedrosis Viruses to the Common Armyworm, Pseudaletia separata (멸강나방에 대한 곤충핵다각체병바이러스의 교류감염성)

  • ;Okada Muneo
    • Korean journal of applied entomology
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    • v.28 no.1
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    • pp.10-15
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    • 1989
  • This studies were carried out to selected high pathogenic nuclear polyhedrosis viruses(NPVs) against Pseudaletia(=Leucania) separata for the introduction of microbiol control of the insect NPV in Korea. Among 21 NPVs, Sesamia inferens and 4 P. separata NPV strains were highly pathogenic against P. separata when fed orchard grass leaves smeared virus suspension on the 2nd instar larvae. Three NPV strains (LsNPV-F, LsNPV-G, LsNPV-Y) were more susceptible to the younger instar than the older instar P. separata larvae when fed artificial diet mixed with the virus to the insect.

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Incompressible Viscous Flow Analysis around a High-Speed Train Including Cross-Wind Effects (측풍영향을 고려한 고속전철 주위의 비압축성 점성 유동 해석)

  • Jung Y. R.;Park W. G.;Kim H. W.;Ha S. D.
    • 한국전산유체공학회:학술대회논문집
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    • 1995.10a
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    • pp.55-63
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    • 1995
  • The flow field around a high-speed train including cross-wind effects has been simulated. This study solves 3-D unsteady incompressible Navier-Stokes equations in the inertial frame using the iterative time marching scheme. The governing equations are differenced with 1st-order accurate backward difference scheme for the time derivatives, 3th-order accurate QUICK scheme for the convective terms and 2nd-order accurate central difference scheme for the viscous terms. The Marker-and-Cell concept was applied to efficiently solve continuity equation, which is differenced with 2nd-order accurate central difference scheme. The 4th-order artificial damping is added to the continuity equation for numerical stability. A C-H type of elliptic grid system is generated around a high-speed train including ground. The Baldwin-Lomax turbulent model was implemented to simulate the turbulent flows. To validate the present procedure, the flow around a high speed train at constant yaw angle of $45^{\circ}\;and\;90^{\circ}$ has been simulated. The simulation shows 3-D vortex generation in the lee corner. The flow separation is also observed around the rear of the train. It has concluded that the results of present study properly agree with physical flow phenomena.

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Case Study on the Load-Deflection and Acoustic Emission Analysis of SM45C Coupons with a Circular Hole Defect under Tensile Loading (원공결함을 갖는 SM45C 인장시험편의 강도해석과 음향방출에 관한 사례연구)

  • Woo, Chang-Ki;Rhee, Zhang-Kyu
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.17 no.1
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    • pp.50-58
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    • 2008
  • The SM45C metallic coupons have been tested under static tensile loading with acoustic emission (AE) as the load-deflection curve mainly. In this study, we used AE to detect the yielding of material and AE techniques was applied to rapidly estimate the mechanical characteristics of a material. First, coupons without an artificial defect were tested at different cross-head speed. For all cases in this analysis, yielding point of SM45C coupons did not appear definitely compared to mild steel, whereas coupons start to generate AE counts upon yielding. So all cases are normalized to know the possibility of accelerated life test of a material. And next, coupons with different from sizes of circular hole defects were tested at the same cross-head speed of 5 mm/min. Results were classified into 3 classes and analyzed by AE amplitude & signal strength as a function of time. Summarizing the specific conclusions, we need to additional research considering plate with width-ratio in order to estimate the fracture mechanism.

Process Map for Improving the Dimensional Accuracy in the Multi-Stage Drawing Process of Rectangular Bar with Various Aspect Ratio (다양한 종횡비의 직사각바 다단 인발공정에서 치수정도 향상을 위한 프로세스 맵)

  • Ko, P.S.;Kim, J.H.;Kim, B.M.
    • Transactions of Materials Processing
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    • v.27 no.3
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    • pp.154-159
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    • 2018
  • In the rectangular bar multi-stage drawing process, the cross-section dimensional accuracy of the rectangular bar varies depending on the aspect ratio and process conditions. It is very important to predict the dimensional error of the cross-section occurring in the multi-stage drawing process according to the aspect ratio of the rectangular bar and the half die angle of each pass. In this study, a process map for improving the dimensional accuracy according to the aspect ratio was derived in the drawing process of a rectangular bar. FE-simulation of the multi-stage shape drawing process was carried out with four types of rectangular bar. The results of the FE-simulation were trained to the nonlinear relationship between the shape parameters using an Artificial Neural Network (ANN), and the process maps were derived from them. The optimum half die angles were determined from the process maps on the dimensional accuracy. The validity of the suggested process map for aspect ratios 1.25~2:1 were verified through FE-simulation and experimentation.

In vitro culture of skin cells on a crosslinked gelatin based scaffold for artificial skin

  • Shin, In-Soo;Kwon, Oh-Hee;Kim, Soon-Nam;Hong, Choong-Man;Lee, Ki-Hong;Oh, Ho-Jung;Yoo, Si-Hyung;Lim, Jae-Hyun;Choi, Seung-Eun
    • Proceedings of the PSK Conference
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    • 2003.10b
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    • pp.100.2-101
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    • 2003
  • To satisfy the increasing medical demanding especially for sever burn patients to regenerate full thickness wound cure, this study developed dermis with gelatin based scaffold and perform the biocompatibility tests. To prepare scaffold 30% of gelatin was mixed with sieved salt and dried in the mold to shape then, cross linked with a water-soluble cross-linker, EDAC. Preparing the cell for seeding from a rabbit skin, the fibroblast and keratinocyte were successfully isolated and cultured in vitro. After cell and scaffold were ready, the fibroblast was seeded to the scaffold (∼10$\^$6/ cell/cm ) for preparing dermis and keratinocyte was cultured until forming the sheet. (omitted)

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