• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.103-103
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• 2023

질량 및 에너지 보존 법칙은 수문현상을 포함한 자연 현상의 기본 법칙이다. 유역에서 물의 질량 보존은 강수량 P가 유출량 Q, 증발산량 E, 그리고 육역저수량변화 ΔS로 분할되는 것(P=Q+E+ΔS)을 의미하며 열 에너지 보존은 순복사에너지 R_n이 잠열 λE, 현열 H, 그리고 지열 G로 분할되는 것(R_n=λE+H+G)을 의미한다. 유역에서 물과 에너지의 분배 과정은 E로 연결되어 있으며 이 두 과정을 포괄적으로 이해하는 것은 기후 및 지표환경의 변화를 예측하고 대비하는데 중요하다. 이 연구에서는 미국 전역의 400여개 유역에 대한 정보를 제공하는 Model Parameter Estimation Project(MOPEX) 데이터를 이용하여 유역의 기후 조건에 따라 물과 에너지의 분배가 어떻게 달라지는지 Budyko 평면에서 분석했다. 장기간에 대해 ΔS와 G는 무시할 수 있다는 가정하에 건조한 유역일수록 P, Q, 그리고 E 모두 작게 나타나는데 P와 Q의 감소폭이 훨씬 크기 때문에 E의 P에 대한 비는 크게 나타났다. 또한 건조한 유역일수록 E는 작고 R_n이 크기 때문에 H가 크게 나타났으며 H가 큰 유역일 수록 유역의 최대 기온과 최저 기온의 차이가 크게 나타났다. 이러한 변화는 동일한 유역내에서 물과 에너지 분배의 시간적 변화로도 나타나고 있다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.41 no.8
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• pp.625-631
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• 2013

Reliability of a pin puller was predicted by Monte Carlo simulation. The prediction method is based on the stress-strength interference model that failure occurs if the stress exceeds the strength. In this study, the strength is considered as the energy delivered by combustion of pyrotechnics to retreat the pin to a predetermined position, whereas the stress is regarded as the energy required to resist the pin movement. The former mainly depends on the amount of pyrotechnic charge and the latter is governed by several friction forces and the energy dissipation within locking mechanism. Both the variables of stress and strength were computed using an analytical performance model. The method presented here, not depending upon a large number of test item, can be applicable to predict the reliability of other kinds of pyrotechnic devices.

• Environmental and Resource Economics Review
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• v.16 no.4
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• pp.803-832
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• 2007

Electricity and heat load profiles by use types on an hourly basis at the least are essential for assessing economic viability of new cogeneration and CES projects and for optimally operating existing cogeneration and CES facilities. We adopt a multilevel model to specify heat load profiles so as to utilize in a flexible manner the panel nature of our data on weather and heating/cooling use. Converting the multilevel model to the linear mixed-effects model, we estimate the model by panel FGLS. The estimated load profile model for each distinct use type accounts for the effects of temperature, humidity, each hour over the year, each day of the week, each type of legal holidays, and heating/cooling area on energy use. To save space, we feature in detail the heating profile of the household.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.39 no.10
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• pp.1053-1061
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• 2015

This paper discusses the analysis of the curl deformation behavior when a dynamic force is applied to a tearing tube installed on a flat die to predict the energy absorption capacity and deformation behavior. The deformation of the tips of the curling strips was obtained when the curl tips and tube body are in contact with each other, and a formula describing the energy dissipation rate caused by the deformation of the curl tips is proposed. To improve this formula, we focused on the variation of the curl radius and the reduced thickness of the tube. A formula describing the mean curl radius is proposed and verified using the curl radius measurement data of collision test specimens. These improved formulas are added to the theoretical model previously proposed by Huang et al. and verified from the collision test results of a tearing tube.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.6 no.1
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• pp.1-8
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• 2012

Estimating algorithm of physical activity energy expenditure was implemented by using a tri-axial accelerometer motion detector of the SVM(Signal Vector Magnitude) of 3-axis(x, y, z). A total of 33 participants(15 males and 18 females) that performed walking and running on treadmill at 2 ~ 11 km/h speeds(each stage increase 1km/h). Algorithm for energy expenditure of physical activities were implemented with $VO_2$ consumption and SVM correlation between the data. Algorithm consists of three kinds and hip, wrist, waist and hip can be used to apply.

• Journal of the Korean Chemical Society
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• v.35 no.5
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• pp.461-468
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• 1991

The cationic polymerizations of substituted oxiranes which have pendant energetic groups such as azido, and nitrato, are investigated theoretically using the semiempirical MNDO, and $AM_1$ methods. The nucleophilicity and basicity of substituted oxiranes can be explained by the negative charge on oxygen atom of oxiranes. The reactivity of propagation in the polymerization of oxiranes can be represented by the positive charge on carbon atom and the low LUMO energy of active species of oxiranes. Ring opening of the complexed cyclic oxonium ion to the open chain carbenium ion is expected computational stability of the oxonium and carbenium ion by 30∼40 kcal/mol favoring the carbenium ion. The relative equilibrium concentration of cyclic oxonium and open carbenium ions will be a major determinant of mechanism. The chain growth $SN_1$, mechanism will be at least as fast as that for $SN_2$ mechanism.

• Journal of the Korea Society of Computer and Information
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• v.13 no.7
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• pp.139-148
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• 2008

The sensor network is applied from the field which is various. The sensor network nodes are exchanged with mobile environment and they construct they select cluster and cluster headers. In this paper, we propose the Dynamic Prediction Clustering Algorithm use to Skyline queries attributes in direction, angel and hop. This algorithm constructs cluster in base mobile sensor node after select cluster header. Propose algorithm is based made cluster header for mobile sensor node. It "Adv" reduced the waste of energy which mobile sensor node is unnecessary. Respects clustering where is efficient according to hop count of sensor node made dynamic cluster. To extend a network life time of 2.4 times to decrease average energy consuming of sensor node. Also maintains dynamic cluster to optimize the within hop count cluster, the average energy specific consumption of node decreased 14%.

• Aerospace Engineering and Technology
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• v.1 no.2
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• pp.19-31
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• 2002

Crush energy characteristics of graphite/epoxy square tubes are experimentally studied. Effect of the ply orientation on the peak load and the average load is investigated by applying compressive load on the top of the composite square tubes under the stroke control with crosshead speed of 0.003mm/sec and 0.3mm/sec. in addition to the experimental survey, the finite element analysis is used to estimate the peak load of the composite square tubes with [0/90]₄ and [0/±45/90]₂. The first buckling mode of the tube is superimposed to the perfect geometry and the distributed compressive load is applied on the top of the tubes. The applied compressive load that make Tsai-Wu criteria equal to one is regarded as the peak load of the tubes. The experimental data shows that the square tube with [45/-45]₄ has the highest peak load and the square tube with [60/-60]₄ has the average sustained load. The measure peak load of the composite tubes with [0/90]₄ and [0/±45/90]₂agree well with the estimated peak load using the finite element analysis.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.4
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• pp.307-313
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• 2021

Most of the stores of small business owners are those that use a large number of electrical devices, and in particular, there are many stores that use a cold storage system. In severe cases, there is a lot of power load on the store, which can cause a loss to the assets in the store as the power supply is cut off. Accordingly, in this paper, an LSTM-based power load prediction system was designed to measure the energy demand rate of stores and to save energy. Since it can be used as a data-based power saving system for small and medium-sized stores, it is expected to be used as a data-based power demand prediction system for small businesses in the future, and to be used in the field of preventing damage due to power load.

• The Journal of the Acoustical Society of Korea
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• v.43 no.1
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• pp.112-121
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• 2024

The pipping system is widely used in many industries as equipment for transporting fluids over long distances. In high-pressure pipe, as the speed of the fluid increases, a loud noise is generated. Therefore, various studies have been conducted to reduce pipe noise. In this paper, a pipe noise analysis was developed to predict and quantitatively assess the flow-induced vibration and acoustic-induced vibration due to valve flow in high-temperature and high-pressure. To do this, a high-fidelity fluid analysis technique was developed for predicting internal flow in the pipe with valve. In additional, the contribution of compressible/incompressible pressure by frequency band was evaluated using the wavenumber-frequency analysis. To predict a low/middle frequency pipe noise, the vibroacoustic analysis method was developed based on Finite Element Method (FEM). And the pipe noise prediction method for the middle/high frequency was developed based on Statistical Energy Analysis (SEA).