• Title/Summary/Keyword: Dependency Injection

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Study of Grid Dependency of Sheet Atomization Model of a Pressure-Swirl Atomizer (스월형 분사기 분무 예측 모델에서의 격자 의존성 연구)

  • Moon, Yoon-Wan;Seol, Woo-Seok;Yoon, Young-Bin
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.34 no.9
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    • pp.817-824
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    • 2010
  • An improved spray model of a pressure-swirl atomizer was developed and the grid dependency of the model was investigated. Since the Lagrangian-Eulerian approach was adopted for tracking droplets, very small grids could not be used. However, in order to detect swirl flow accurately, small grids were needed because of the consideration of swirl injection. In order to overcome these limitations, numerical studies were performed by using various grids with cell sizes ranging from 10.0 $\times$ 10 mm to 0.625 $\times$ 0.625 mm. From these calculated results, it was observed that the most efficient grid cell size was 1.25 $\times$ 1.25 mm.

Multi Label Deep Learning classification approach for False Data Injection Attacks in Smart Grid

  • Prasanna Srinivasan, V;Balasubadra, K;Saravanan, K;Arjun, V.S;Malarkodi, S
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.6
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    • pp.2168-2187
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    • 2021
  • The smart grid replaces the traditional power structure with information inventiveness that contributes to a new physical structure. In such a field, malicious information injection can potentially lead to extreme results. Incorrect, FDI attacks will never be identified by typical residual techniques for false data identification. Most of the work on the detection of FDI attacks is based on the linearized power system model DC and does not detect attacks from the AC model. Also, the overwhelming majority of current FDIA recognition approaches focus on FDIA, whilst significant injection location data cannot be achieved. Building on the continuous developments in deep learning, we propose a Deep Learning based Locational Detection technique to continuously recognize the specific areas of FDIA. In the development area solver gap happiness is a False Data Detector (FDD) that incorporates a Convolutional Neural Network (CNN). The FDD is established enough to catch the fake information. As a multi-label classifier, the following CNN is utilized to evaluate the irregularity and cooccurrence dependency of power flow calculations due to the possible attacks. There are no earlier statistical assumptions in the architecture proposed, as they are "model-free." It is also "cost-accommodating" since it does not alter the current FDD framework and it is only several microseconds on a household computer during the identification procedure. We have shown that ANN-MLP, SVM-RBF, and CNN can conduct locational detection under different noise and attack circumstances through broad experience in IEEE 14, 30, 57, and 118 bus systems. Moreover, the multi-name classification method used successfully improves the precision of the present identification.

Si1-xGex Positive Feedback Field-effect Transistor with Steep Subthreshold Swing for Low-voltage Operation

  • Hwang, Sungmin;Kim, Hyungjin;Kwon, Dae Woong;Lee, Jong-Ho;Park, Byung-Gook
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.17 no.2
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    • pp.216-222
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    • 2017
  • The most prominent challenge for MOSFET scaling is to reduce power consumption; however, the supply voltage ($V_{DD}$) cannot be scaled down because of the carrier injection mechanism. To overcome this limit, a new type of field-effect transistor using positive feedback as a carrier injection mechanism (FBFET) has been proposed. In this study we have investigated the electrical characteristics of a $Si_{1-x}Ge_x$ FBFET with one gate and one-sided $Si_3N_4$ spacer using TCAD simulations. To reduce the drain bias dependency, $Si_{1-x}Ge_x$ was introduced as a low-bandgap material, and the minimum subthreshold swing was obtained as 2.87 mV/dec. This result suggests that a $Si_{1-x}Ge_x$ FBFET is a promising candidate for future low-power devices.

Performance Analysis of Regenerative Gas Turbine System with Afterfogging (압축기 출구 물분사가 있는 재생 가스터빈 시스템의 성능해석)

  • Kim, Kyoung-Hoon;Kim, Se-Woong;Ko, Hyung-Jong
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.21 no.8
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    • pp.448-455
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    • 2009
  • A performance analysis of the regenerative gas turbine system with afterfogging is carried out. Because of the high temperature at the outlet of air compressor, afterfogging has a potential of improved recuperation of exhaust heat than inlet fogging. Thermodynamic analysis model of the gas turbine system is developed by using an ideal gas assumption. Using the model, the effects of pressure ratio, water injection ratio, and ambient temperature are investigated parametrically on thermal efficiency and specific power of the cycle. The dependency of pressure ratio giving peak thermal efficiency is also investigated. The results of numerical computation for the typical cases show that the regenerative gas turbine system with afterfogging can make a notable enhancement of thermal efficiency and specific power. In addition, the peak thermal efficiency is shown to decrease almost linearly with ambient temperature.

ASSESSMENT OF MARS FOR DIRECT CONTACT CONDENSATION IN THE CORE MAKE-UP TANK (노심보충수탱크의 직접접촉응축에 대한 MARS의 계산능력평가)

  • Park, Keun Tae;Park, Ik Kyu;Lee, Seung Wook;Park, Hyun Sik
    • Journal of computational fluids engineering
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    • v.19 no.1
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    • pp.64-72
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    • 2014
  • This study aimed at assessing the analysis capability of thermal-hydraulic computer code, MARS for the behaviors of the core make-up tank (CMT). The sensitivity study on the nodalization to simulate the CMT was conducted, and the MARS calculations were compared with KAIST experimental data and RELAP5/MOD3.3 calculations. The 12-node model was fixed through a nodalization study to investigate the effect of the number of nodes in the CMT (2-, 4-, 8-, 12-, 16-node). The sensitivity studies on various parameters, such as water subcooling of the CMT, steam pressure, and natural circulation flow were done. MARS calculations were reasonable in the injection time and the effects of several parameters on the CMT behaviors even though the mesh-dependency should be properly treated for reactor applications.

Interrelation between Expression of ADAM 10 and MMP 9 and Synthesis of Peroxynitrite in Doxorubicin Induced Cardiomyopathy

  • Lim, Sung Cil
    • Biomolecules & Therapeutics
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    • v.21 no.5
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    • pp.371-380
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    • 2013
  • Doxorubicin is still main drug in chemotherapy with limitation of use due to adverse drug reaction. Increased oxidative stress and alteration of nitric oxide control have been involved in cardiotoxicity of doxorubicin (DOX). A Disintegrin And Metalloproteinase (ADAMs) are transmembrane ectoproteases to regulate cell-cell and cell-matrix interactions, but role in cardiac disease is unclear. The aim of this study was to determine whether DOX activates peroxynitrite and ADAM 10 and thus ADAM and matrix metalloproteinase (MMP) induce cardiac remodeling in DOX-induced cardiomyopathy. Adult male Sprague-Dawley rats were subjected to cardiomyopathy by DOX (6 times of 2.5 mg/kg DOX over 2-weeks), and were randomized as four groups. Then followed by 3, 5, 7, and 14 days after cessation of DOX injection. DOX-injected animals significantly decreased left ventricular fractional shortening compared with control by M-mode echocardiography. The expressions of cardiac nitrotyrosine by immunohistochemistry were significant increased, and persisted for 2 weeks following the last injection. The expression of eNOS was increased by 1.9 times (p<0.05), and iNOS was marked increased in DOX-heart compared with control (p<0.001). Compared to control rats, cardiac ADAM10- and MMP 9- protein expressions increased by 20 times, and active/total MMP 9 proteolytic activity showed increase tendency at day 14 after cessation of DOX injection (n=10, each group). DOX-treated $H_9C_2$ cell showed increased ADAM10 protein expression with dose-dependency (p<0.01) and morphometric changes showed the increase of ventricular interstitial, nonvascular collagen deposition. These data suggest that activation of cardiac peroxynitrite with increased iNOS expression and ADAM 10-dependent MMP 9 expression may be a molecular mechanism that contributes to left ventricular remodeling in DOXinduced cardiomyopathy.

Experimental observation and numerical simulation of cement grout penetration in discrete joints

  • Lee, Jong-Won;Kim, Hyung-Mok;Yazdani, Mahmoud;Lee, Hangbok;Oh, Tae-Min;Park, Eui-Seob
    • Geomechanics and Engineering
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    • v.18 no.3
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    • pp.259-266
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    • 2019
  • This paper presents a comparison between experimental measurements and numerical estimations of penetration length of a cement grout injected in discrete joints. In the experiment, a joint was generated by planar acryl plates with a certain separation distance (; aperture) and was designed in such a way to vary the separation distances. Since a cement grout was used, the grout viscosity can be varied by controlling water-cement (W/C) ratios. Throughout these experiments, the influence of joint aperture, cement grout viscosity, and injection rate on a penetration length in a discrete joint was investigated. During the experiments, we also measured the time-dependent variation of grout viscosity due to a hardening process. The time-dependent viscosity was included in our numerical simulations as a function of elapsed time to demonstrate its impact on the estimation of penetration length. In the numerical simulations, Bingham fluid model that has been known to be applicable to a viscous cement material, was employed. We showed that the estimations by the current numerical approach were well comparable to the experimental measurements only in limited conditions of lower injection rates and smaller joint apertures. The difference between two approaches resulted from the facts that material separation (; bleeding) of cement grout, which was noticeable in higher injection rate and there could be a significant surface friction between the grout and joint planes, which are not included in the numerical simulations. Our numerical simulation, meanwhile, could well demonstrate that penetration length can be significantly over-estimated without considering a time-dependency of viscosity in a cement grout.

Investigation of Fracture Propagation in Cement by Hydraulic Fracturing Under the Tri-axial Stress Condition (시멘트 시료에 대한 삼축압축 환경에서의 수압파쇄시험 연구)

  • Riu, Hee-Sung;Jang, Hyun-Sic;Jang, Bo-An
    • The Journal of Engineering Geology
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    • v.27 no.3
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    • pp.233-244
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    • 2017
  • We conducted hydraulic fracturing experiments on cement samples to investigate the dependency of fracture propagation on the viscosity of injection fluid and the in situ stress state. Ten cubic samples (20 cm side length) were produced using cement that was cured in water for more than one month. Samples were placed in a tri-axial compression apparatus with three independent principal stresses. An injection hole was drilled and the sample was hydraulically fractured under a constant injection rate. We measured injection pressures and acoustic emissions (AE) during the experiments, and investigated the fracture patterns produced by hydraulic fracturing. Breakdown pressures increased exponentially with increasing viscosity of the injection fluid. Fracture patterns were dependent on differential stress (i.e., the difference between the major and minor principal stresses). At low differential stress, multiple fractures oriented sub-parallel to the major principal stress axis propagated from the injection hole, and in some samples the fracture orientation changed during propagation. However, at high differential stress, a single fracture propagated parallel to the major principal stress axis. AE results show similar patterns. At low differential stress, AE source locations were more widespread than at high differential stress, consistent with the fracture pattern results. Our study suggests that hydraulic fracturing during shale gas extraction should be performed parallel to the orientation of minimum differential stress.

Prediction of Maximum Liquid-phase Penetration in Diesel Spray: A review

  • No, Soo-Young
    • Journal of ILASS-Korea
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    • v.13 no.3
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    • pp.117-125
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    • 2008
  • The correlations for the prediction of maximum liquid-phase penetration in diesel spray are reviewed in this study. The existing models developed for the prediction of maximum liquid-phase penetration can be categorized as the zero-dimensional (empirical) model, the multi-dimensional model and the other model. The existing zero-dimensional model can be classified into four groups and the existing multidimensional models can be classified into three groups. The other model includes holistic hydraulic and spray model. The maximum liquid-phase penetration is mainly affected by nozzle diameter, fuel volatility, injection pressure, ambient gas pressure, ambient gas density and fuel temperature. In the case of empirical correlations incorporated with spray angle, the predicted results will be different according to the selection of correlation for spray angle. The research for the effect of boiling point temperatures on maximum liquid-phase penetration is required. In the case of multidimensional model, there exist problems of the grid and spray sub-models dependency effects.

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Gate Leakage Current of Power GaAs MESFET's at High Temperature

  • Won Chang-sub;Ahn Hyungkeun;Han Deuk-Young
    • Proceedings of the KIPE Conference
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    • 2001.10a
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    • pp.44-46
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    • 2001
  • Increase of gate leakage current causes decrease of gain and increase of noise. In this paper, gate leakage current of GaAs MESEFTs' has been traced with different temperatures from $27^{\circ}C\;to\;350^{\circ}C$ to obtain the zero voltage saturation current $J_s$ which is critical to the temperature dependency of total current. From the results, thermal leakage current coefficient has been proposed to compensate for the total current due to the thermionic emission, tunneling, generation and/or hole injection.

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