• Title/Summary/Keyword: Random Analysis

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Processing Time and Traffic Capacity Analysis for RFID System Using LBT-Random Searching Scheme (LBT-Random Searching 방식을 채용한 RFID 시스템의 트래픽 처리 시간 및 용량 해석)

  • Hwang, In-Kwan;Lim, Yeon-Jun;Pyo, Cheol-Sig
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.9A
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    • pp.822-829
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    • 2005
  • In this paper, a processing time and trafnc capacity analysis algorithm for RFID system using LBT-Random Searching scheme is proposed. Service time, carrier sensing time, additional delay time required for contiguous frequency channel occupancy, and additional delay time required for the contiguous using the same frequency channel are considered and the processing delay and frequency channel capacity are analyzed for the steady state operation of the system. The simulation results showing maximum capacity of the system and explaining the accuracy of the algorithm are provided.

Vibration Characteristics Analysis of the Communication Satellite Transponder Equipment (통신위성 중계기 부품의 진동특성 해석)

  • 김현수;이명규;박종흥;김성종;이영신
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.05a
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    • pp.374-379
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    • 2001
  • The satellite electronic equipment is exposed to high level random vibration environment during the launch of spacecraft. The random vibration can cause damage of electronic equipment. Thus very careful consideration on the launch environment, especially for high level random vibration, is required in the design stage of transponder equipments of communication satellite. For the structural integrity of the communication satellite transponder equipment under qualification level random vibration, Finite Element analysis was carried out using the commercial code, MSC/Nastran and ANSYS and stress levels are presented. In order to validate the femodel, modal test was also performed and compared with numerical results.

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Factors Influencing Purchase of the Crop Insurance : The Case of Rice Farms (농작물재해보험 가입 결정요인에 관한 분석 -수도작 농가를 중심으로-)

  • Lee, Ji-Hye;Song, Kyung-Hwan
    • Korean Journal of Organic Agriculture
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    • v.23 no.1
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    • pp.31-42
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    • 2015
  • This thesis has analyzed the determination factor for the crop insurance of rice focused on paddy rice. The analysis on each farmer has been used with integrated probit model & random effects probit model. It has shown in the analysis result of determination factor for buying the crop insurance of paddy rice farmer through integrated probit model & random effects probit model that the higher age, degree of education, cultivated area, and amount of received insurance money and the lower in a number of family member have revealed the higher possibility to buy the crop insurance in the integrated probit model. While the random effects probit model has shown a higher possibility to buy the crop insurance as the higher age, cultivated area, and amount of received insurance money.

Probabilistic free vibration analysis of Goland wing

  • Kumar, Sandeep;Onkar, Amit Kumar;Manjuprasad, M.
    • International Journal of Aerospace System Engineering
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    • v.6 no.2
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    • pp.1-10
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    • 2019
  • In this paper, the probabilistic free vibration analysis of a geometrically coupled cantilever wing with uncertain material properties is carried out using stochastic finite element (SFEM) based on first order perturbation technique. Here, both stiffness and damping of the system are considered as random parameters. The bending and torsional rigidities are assumed as spatially varying second order Gaussian random fields and represented by Karhunen Loeve (K-L) expansion. Here, the expected value, standard deviation, and probability distribution of random natural frequencies and damping ratios are computed. The results obtained from the present approach are also compared with Monte Carlo simulations (MCS). The results show that the uncertain bending rigidity has more influence on the damping ratio and frequency of modes 1 and 3 while uncertain torsional rigidity has more influence on the damping ratio and frequency of modes 2 and 3.

Quantification of Particle Velocity and Intensity Estimation Error in a Discrete Domain (이산 영역에서 공간상의 입자속도, 인텐시티 예측 오차의 정량화)

  • 최영철;김양한
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2003.05a
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    • pp.403-407
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    • 2003
  • This paper studies the error of pressure, particle velocity, and intensity which are distributed in a space. Errors may be amplified when other sound field variables are predicted. We theoretically derive their bias error and random error. The analysis shows that many samples do not always guarantee good results. Random error of the velocity and intensity are increased when many samples are used. The characteristics of the amplification of the random error are analyzed in terms of the sample spacing. The amplification was found to be related to the spatial differential of random noise. The numerical simulations are performed to verify theoretical results.

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Influence of Geometric Initial Imperfection on the First Buckling Time Variation of Cylinder Under Impact Load (충격하중을 받는 원통의 최초좌굴시간의 변동성에 대한 기하학적 초기결함의 영향)

  • 김두기
    • Computational Structural Engineering
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    • v.10 no.1
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    • pp.173-183
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    • 1997
  • In this paper a method is suggested for the probabilistic analysis of impact buckling failure time of cylinder with random axisymmetric geometric imperfection under axial impact. Failure is assumed as axisymmetric radial deformation exceeds the given criteria for the first time. For the generation of random geometric initial imperfection, random field theory by mean function and autocorrelation function of geometric imperfection is used. Suggested method is useful for the treatment of the randomness of realistic geometric imperfection and can be used for the structural safety analysis of cylinder considering its effect.

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Failure-Time Estimation from Nonlinear Random-Coefficients Model: PDP Degradation Analysis (PDP 열화분석 예제를 통한 랜덤계수모델에서의 고장시간분포 추정)

  • Bae, Suk-Joo;Kim, Seong-Joon
    • Proceedings of the Korean Reliability Society Conference
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    • 2006.05a
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    • pp.181-191
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    • 2006
  • As an alternative to traditional life testing, degradation tests can be effective in assessing product reliability when measurements of degradation leading to failure can be observed. This article proposes a new model to describe the nonlinear degradation paths caused by nano-contamination for plasma display panels (PDPs) : a bi-exponential model with random coefficients. A sequential likelihood ratio test was executed to select random effects in the nonlinear model. Analysis results indicate that the reliability estimation can be improved substantially by using the nonlinear random-coefficients model to incorporate both inherent degradation characteristics and contamination effects of impurities for PDP degradation paths.

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Viscous Effect by Random Walk Method in VIC Method (Vortex-in-Cell법에 있어 랜덤워크법에 의한 점성효과)

  • No, Gi-Deok
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.26 no.2
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    • pp.194-200
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    • 2002
  • A method for simulating flow of extremely low Reynolds number in a vortex-in-cell (VIC) was studied. The viscous diffusion was represented by the random walk method. The validity of this method was proven by applying it to the flows passing over a fence placed vertically at an extremely low Reynolds number. The effects of parameters of the VIC method on the random walk method, such as the number of point vortices, the mesh density and the time increment, were investigated by numerical analysis using a one-dimensional diffusion equation. Changes in the relative error of vorticity depending on those parameters were clarified.

Prediction of New Confirmed Cases of COVID-19 based on Multiple Linear Regression and Random Forest (다중 선형 회귀와 랜덤 포레스트 기반의 코로나19 신규 확진자 예측)

  • Kim, Jun Su;Choi, Byung-Jae
    • IEMEK Journal of Embedded Systems and Applications
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    • v.17 no.4
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    • pp.249-255
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    • 2022
  • The COVID-19 virus appeared in 2019 and is extremely contagious. Because it is very infectious and has a huge impact on people's mobility. In this paper, multiple linear regression and random forest models are used to predict the number of COVID-19 cases using COVID-19 infection status data (open source data provided by the Ministry of health and welfare) and Google Mobility Data, which can check the liquidity of various categories. The data has been divided into two sets. The first dataset is COVID-19 infection status data and all six variables of Google Mobility Data. The second dataset is COVID-19 infection status data and only two variables of Google Mobility Data: (1) Retail stores and leisure facilities (2) Grocery stores and pharmacies. The models' performance has been compared using the mean absolute error indicator. We also a correlation analysis of the random forest model and the multiple linear regression model.

A Study on the Prediction Technical for Critical Slip surface Using Genetic Algorithm (유전자 알고리즘을 이용한 사면의 임계파괴면 예측기법에 관한 연구)

  • 김홍택;강인규;황정순;장원호
    • Proceedings of the Korean Geotechical Society Conference
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    • 1999.03a
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    • pp.331-338
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    • 1999
  • In the present study, a searching technique for critical slip surface in two dimensional slope stability analysis is proposed. The failure surface generation and analysis has been usually limited to simple geometric shapes. However, more random surfaces need to be examined for some particular ground conditions. For this purpose, random searching technique is developed using genetic algorithm. The generalized limit equilibrium method is employed as the method of stability analysis. Using this technique, the factor of safety is compared with the result by using simplified Bishop's method. In addition, the convergent trend of fitness value is analyzed.

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