• Title/Summary/Keyword: Hybrid-model

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Numerical investigation of detonation characteristics in hybrid ethylene-air and RDX mixture using two-phase model (Two-phase 모델을 활용한 에틸렌-공기와 RDX 혼합물의 데토네이션 특성 연구)

  • Gwak, Min-cheol;Kim, Wuhyun;Yoh, Jai-ick
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2017.05a
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    • pp.686-690
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    • 2017
  • In this study, we numerically investigate the detonation characteristics (detonation velocity and pressure) of a hybrid ethylene-air and RDX mixture using two-phase model. Compared with detonation of pure ethylene-air mixture, the detonation of the hybrid ethylene-air and RDX mixture has higher pressure and stronger impulse because the hybrid mixture has additional chemical heat release of RDX particles. To validate the numerical results using two-phase model, we compare the experimental data which show changes of detonation pressure and velocity according to concentration of RDX particles.

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Hybrid simulation tests of high-strength steel composite K-eccentrically braced frames with spatial substructure

  • Li, Tengfei;Su, Mingzhou;Guo, Jiangran
    • Steel and Composite Structures
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    • v.38 no.4
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    • pp.381-397
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    • 2021
  • Based on the spatial substructure hybrid simulation test (SHST) method, the seismic performance of a high-strength steel composite K-eccentrically braced frame (K-HSS-EBF) structure system is studied. First, on the basis of the existing pseudostatic experiments, a numerical model corresponding to the experimental model was established using OpenSees, which mainly simulated the shear effect of the shear links. A three-story and five-span spatial K-HSS-EBF was taken as the prototype, and SHST was performed with a half-scale SHST model. According to the test results, the validity of the SHST model was verified, and the main seismic performance indexes of the experimental substructure under different seismic waves were studied. The results show that the hybrid simulation results are basically consistent with the numerical simulation results of the global structure. The deformation of each story is mainly concentrated in the web of the shear link owing to shear deformation. The maximum interstory drifts of the model structure during Strength Level Earthquake (SLE) and Maximum Considered Earthquake (MCE) meet the demands of interstory limitations in the Chinese seismic design code of buildings. In conclusion, the seismic response characteristics of the K-HSS-EBFs are successfully simulated using the spatial SHST, which shows that the K-HSS-EBFs have good seismic performance.

DL-ML Fusion Hybrid Model for Malicious Web Site URL Detection Based on URL Lexical Features (악성 URL 탐지를 위한 URL Lexical Feature 기반의 DL-ML Fusion Hybrid 모델)

  • Dae-yeob Kim
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.33 no.6
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    • pp.881-891
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    • 2023
  • Recently, various studies on malicious URL detection using artificial intelligence have been conducted, and most of the research have shown great detection performance. However, not only does classical machine learning require a process of analyzing features, but the detection performance of a trained model also depends on the data analyst's ability. In this paper, we propose a DL-ML Fusion Hybrid Model for malicious web site URL detection based on URL lexical features. the propose model combines the automatic feature extraction layer of deep learning and classical machine learning to improve the feature engineering issue. 60,000 malicious and normal URLs were collected for the experiment and the results showed 23.98%p performance improvement in maximum. In addition, it was possible to train a model in an efficient way with the automation of feature engineering.

Analysis and Design of Driving Mechanism of Hybrid RMU (복합 소호 방식 RMU 구동 메커니즘 해석 및 설계)

  • Kwon, Byung-Hee;Ahn, Kil-Young;Oh, Il-Sung
    • Proceedings of the KSME Conference
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    • 2003.04a
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    • pp.729-733
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    • 2003
  • Hybrid RMU is a kind of power circuit breaker and protects electric devices from over-current. In this paper we built a dynamic model of RMU driving mechanism using ADAMS and performed a optimal design of several design parameters. Finally we developed a prototype of RMU driving mechanism through results of analysis and confirmed it to satisfy design requisitions.

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Bayesian Estimation of State-Space Model Using the Hybrid Monte Carlo within Gibbs Sampler

  • Park, Ilsu
    • Communications for Statistical Applications and Methods
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    • v.10 no.1
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    • pp.203-210
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    • 2003
  • In a standard Metropolis-type Monte Carlo simulation, the proposal distribution cannot be easily adapted to "local dynamics" of the target distribution. To overcome some of these difficulties, Duane et al. (1987) introduced the method of hybrid Monte Carlo(HMC) which combines the basic idea of molecular dynamics and the Metropolis acceptance-rejection rule to produce Monte Carlo samples from a given target distribution. In this paper, using the HMC within Gibbs sampler, an asymptotical estimate of the smoothing mean and a general solution to state space modeling in Bayesian framework is obtaineds obtained.

Personal Data Security in Recruitment Platforms

  • Bajoudah, Alya'a;AlSuwat, Hatim
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.310-318
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    • 2022
  • Job offers have become more widespread and it has become easier and faster to apply for jobs through electronic recruitment platforms. In order to increase the protection of the data that is attached to the recruitment platforms. In this research, a proposed model was created through the use of hybrid encryption, which is used through the following algorithms: AES,Twofish,. This proposed model proved the effectiveness of using hybrid encryption in protecting personal data.

Fault Diagnosis of a Rotating Blade using HMM/ANN Hybrid Model (HMM/ANN복합 모델을 이용한 회전 블레이드의 결함 진단)

  • Kim, Jong Su;Yoo, Hong Hee
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.23 no.9
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    • pp.814-822
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    • 2013
  • For the fault diagnosis of a mechanical system, pattern recognition methods have being used frequently in recent research. Hidden Markov model(HMM) and artificial neural network(ANN) are typical examples of pattern recognition methods employed for the fault diagnosis of a mechanical system. In this paper, a hybrid method that combines HMM and ANN for the fault diagnosis of a mechanical system is introduced. A rotating blade which is used for a wind turbine is employed for the fault diagnosis. Using the HMM/ANN hybrid model along with the numerical model of the rotating blade, the location and depth of a crack as well as its presence are identified. Also the effect of signal to noise ratio, crack location and crack size on the success rate of the identification is investigated.

A DEA/AHP Hybrid Model for The Budget Allocation of NRL Program (NRL 사업의 예산배분을 위한 DEA/AHP 혼합 모형)

  • Nam, In-Suk;You, Tai-Woo;Ha, Jae-Won;Jeong, Byung-Ho
    • IE interfaces
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    • v.23 no.2
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    • pp.156-163
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    • 2010
  • This paper suggests a DEA/AHP hybrid model to deal with an allocation problem of research budget for the national research lab(NRL) program. The qualitative factors are appraised by AHP model and the quantitative factors are dealt with DEA model to evaluate the performance of research activities considering tangible and intangible factors. The proposed hybrid model is applied to get the importance weight of research areas for research budget allocation of NRL program.

Spray and Evaporation Characteristics of DME fuel at the High pressure and temperature (고온 고압하에서의 DME 연료 분무 및 증발 특성)

  • Kim, Hyung-Jun;Suh, Hyun-Gyu;Lee, Chang-Sik
    • Journal of ILASS-Korea
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    • v.12 no.2
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    • pp.101-107
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    • 2007
  • The purpose of this study is to analyze spray and evaporation characteristics of DME fuel at the high pressure and temperature. For the numerical analysis of dimethyl ether(DME) fuel spray characteristics, hybrid breakup model was applied to the DME spray and its breakup process. In order to obtain experimental results for comparison with the predicted ones, the visualization of the spray evolution process was executed by using a Nd:YAG laser. Also, the numerical investigation was conducted by the two hybrid models for primary and secondary breakup of the DME spray. The primary breakup model was used the Kelvin-Helmholtz(KH) breakup model. In the secondary breakup process, Rayleigh-Taylor(RT) and Drop Deformation Breakup(DDB) model was applied. The results of this study provide the macroscopic characteristics of the spray such as spray tip penetration and cone angle, and prediction accuracy of the two hybrid model.

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Non-linear Analysis of Passive Confined Concrete Structures using Tri-Survace Concrete Model (Tri-Surface 콘크리트 모델을 이용한 수동 구속된 콘크리트의 비선형 해석)

  • 조병완;김장호;김영진
    • Proceedings of the Korea Concrete Institute Conference
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    • 2003.11a
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    • pp.604-607
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    • 2003
  • Recently, hybrid concrete structures such as a concrete-filled steel tubular(CFT), a steel reinforced concrete(SRC) and a composite material are popular in structure applications. They also have merit of high strength, high ductility, and large energy absorption capacity. But the analysis of hybrid concrete structures is very difficult owing to the complex behavior of concrete under passive confinement. This paper has analyzed CFT, which receives passive confinement using Tri-Surface concrete model for three dimension finite element analysis. By the result of that, the proposed model was properly forecasted a concrete behavior that receives passive restraint as well as non-linear analysis of concrete which receive uniaxial stress and high active confinement of 400Mpa. If the model through the steady study is set up especially on the factor of concrete under passive confinement, the proposed concrete model will be surely useful for analysis of the hybrid concrete structures.

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