• Journal of Environmental Science International
• /
• v.20 no.4
• /
• pp.501-509
• /
• 2011

Unlike many laboratory-scale studies on absorption of organic compounds (VOCs), limited pilot-scale studies have been reported. Accordingly, the present study was carried out to examine operation parameters for the effective control of a hydrophilic VOC (methyl ethyl ketone, MEK) by applying a circular pilot-scale packed-absorption system (inside diameter 37 cm ${\times}$ height 167 cm). The absorption efficiencies of MEK were investigated for three major operation parameters: input concentration, water flow rate, and ratio of gas flow-rate to washing water amount (water-to-gas ratio). The experimental set-up comprised of the flow control system, generation system, recirculation system, packed-absorption system, and outlet system. For three MEK input concentrations (300, 350, and 750 ppm), absorption efficiencies approached near 95% and then, decreased gradually as the operation time increased, thereby suggesting a non-steady state condition. Under these conditions, higher absorption efficiencies were shown for lower input concentration conditions, which were consistent with those of laboratory-scale studies. However, a steady state condition occurred for two input concentration conditions (100 and 200 ppm), and the difference in absorption efficiencies between these two conditions were insignificant. As supported by an established gas-liquid absorption theory, a higher water flow rate exhibited a greater absorption efficiency. Moreover, as same with the laboratory-scale studies, the absorption efficiencies increased as water-to-gas ratios increased. Meanwhile, regardless of water flow rates or water-to-gas ratios, as the operation time of the absorption became longer, the pH of water increased, but the elevation extent was not substantial (maximum pH difference, 1.1).

• Journal of Multimedia Information System
• /
• v.8 no.4
• /
• pp.203-210
• /
• 2021

Deep leaning convolutional neural networks (CNN) have successfully been applied to image super-resolution (SR). Despite their great performances, SR techniques tend to focus on a certain upscale factor when training a particular model. Algorithms for single model multi-scale networks can easily be constructed if images are upscaled prior to input, but sub-pixel convolution upsampling works differently for each scale factor. Recent SR methods employ multi-scale and multi-path learning as a solution. However, this causes unshared parameters and unbalanced parameter distribution across various scale factors. We present a multi-scale single-path upsample module as a solution by exploiting the advantages of sub-pixel convolution and interpolation algorithms. The proposed model employs sub-pixel convolution for the highest scale factor among the learning upscale factors, and then utilize 1-dimension interpolation, compressing the learned features on the channel axis to match the desired output image size. Experiments are performed for the single-path upsample module, and compared to the multi-path upsample module. Based on the experimental results, the proposed algorithm reduces the upsample module's parameters by 24% and presents slightly to better performance compared to the previous algorithm.

• Smart Structures and Systems
• /
• v.14 no.5
• /
• pp.831-845
• /
• 2014

This paper proposed a discrete wavelet transform based method for time-varying physical parameter identification of shear type structures. The time-varying physical parameters are dispersed and expanded at multi-scale as profile and detail signal using discrete wavelet basis. To reduce the number of unknown quantity, the wavelet coefficients that reflect the detail signal are ignored by setting as zero value. Consequently, the time-varying parameter can be approximately estimated only using the scale coefficients that reflect the profile signal, and the identification task is transformed to an equivalent time-invariant scale coefficient estimation. The time-invariant scale coefficients can be simply estimated using regular least-squares methods, and then the original time-varying physical parameters can be reconstructed by using the identified time-invariant scale coefficients. To reduce the influence of the ill-posed problem of equation resolving caused by noise, the Tikhonov regularization method instead of regular least-squares method is used in the paper to estimate the scale coefficients. A two-story shear type frame structure with time-varying stiffness and damping are simulated to validate the effectiveness and accuracy of the proposed method. It is demonstrated that the identified time-varying stiffness is with a good accuracy, while the identified damping is sensitive to noise.

• Journal of the Korean Society for Precision Engineering
• /
• v.24 no.3 s.192
• /
• pp.108-116
• /
• 2007

To overcome many defects such as the high product cost, large energy consumption, and big space capacity in conventional mechanical machining, the miniaturization of machine tool and micro factory systems has been envisioned recently. The object of this paper is to research the effect of dynamic characteristic parameters in bolted-joint beams, which is widely applied to the joining of mechanical structures in order to identify structural system characteristics and to predict dynamic behavior according to scale-down from macro to micro system as the development of micro/meso-scale machine tool and micro factories. Modal parameters such as the natural frequency, damping ratio, and mode shape from modal testing and dynamic characteristics from finite element analysis are extracted with all 12 test beam models by materials, by size, and by joining condition, and then the results obtained by both methods are compared.

• Nuclear Engineering and Technology
• /
• v.37 no.3
• /
• pp.265-272
• /
• 2005

Severe accidents in nuclear power plants can cause hydrogen-generating chemical reactions, which create the danger of hydrogen combustion and thus threaten containment integrity. For containment analyses, a three-dimensional mechanistic code, GOTHIC-3D has been applied near source compartments to predict whether or not highly reactive gas mixtures can form during an accident with the hydrogen mitigation system working. To assess the code applicability to hydrogen combustion analysis, this paper presents the numerical calculation results of GOTHIC-3D for various hydrogen combustion experiments, including FLAME, LSVCTF, and SNU-2D. In this study, a technical base for the modeling oflarge- and small-scale facilities was introduced through sensitivity studies on cell size and bum modeling parameters. Use of a turbulent bum option of the eddy dissipation concept enabled scale-free applications. Lowering the bum parameter values for the flame thickness and the bum temperature limit resulted in a larger flame velocity. When applied to hydrogen combustion analysis, this study revealed that the GOTHIC-3D code is generally able to predict the combustion phenomena with its default bum modeling parameters for large-scale facilities. However, the code needs further modifications of its bum modeling parameters to be applied to either small-scale facilities or extremely fast transients.

• Geomechanics and Engineering
• /
• v.31 no.5
• /
• pp.529-543
• /
• 2022

The lattice-spring-based synthetic rock mass model (LS-SRM) technique has been extensively employed in large open-pit mining and underground projects in the last decade. Since the LS-SRM requires a complex and time-consuming calibration process, a robust approach was developed using the Response Surface Methodology (RSM) to optimize the calibration procedure. For this purpose, numerical models were designed using the Box-Behnken Design technique, and numerical simulations were performed under uniaxial and triaxial stress states. The model input parameters represented the models' micro-mechanical (lattice) properties and the macro-scale properties, including uniaxial compressive strength (UCS), elastic modulus, cohesion, and friction angle constitute the output parameters of the model. The results from RSM models indicate that the lattice UCS and lattice friction angle are the most influential parameters on the macro-scale UCS of the specimen. Moreover, lattice UCS and elastic modulus mainly control macro-scale cohesion. Lattice friction angle (flat joint fiction angle) and lattice elastic modulus affect the macro-scale friction angle. Model validation was performed using physical laboratory experiment results, ranging from weak to hard rock. The results indicated that the RSM model could be employed to calibrate LS-SRM numerical models without a trial-and-error process.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.41 no.7
• /
• pp.754-764
• /
• 2016

To understand and analyze SNS(Social Network Service) two important classes of networks, small-world and scale-free networks have gained a lot of research interests. In this study, a generalized network generation method is developed, which can produce small-world network, scale-free network, or network with the properties of both small-world and scale-free by controlling two input parameters. By tuning one parameter we can represent the small-world property and by tuning the other one we can represent both scale-free and small-world properties. For the network measures to represent small-world and scale-free properties clustering coefficient, average shortest path distance and power-law property are used. Using the model proposed in this study we can have more clear understanding about relationships between small-world network and scale-free network. Using numerical examples we have verified the effects of two parameters on clustering coefficient, average shortest path distance and power-law property. Through this investigation it can be shown that small-world network, scale-free network or both can be generated by tuning two input parameters properly.

• Journal of Korean Academy of Nursing
• /
• v.26 no.4
• /
• pp.868-877
• /
• 1996

This study was done to analyze research trends and to suggest future perspectives for nursing research on fatigue. The author reviewed 31 Korean and foreign research papers which have been published in the literature since 1970. An analysis of the study focused on the type of research subjects, type of study design. measurement instrument, and its correlated parameters. The results of the study are summarized as follows : First, within all of the studies analayzed, 14 studies were publised in Korea and 17 were published abroad. The number of studies done abroad have been increasing rapidly since 1991. Second, an analysis of the research design of the studies showed, eight studies each, Korean and foreign used survey design. Two Korean studies and seven foreign studies used a correlational design. Four comparative studies were done in Korea, but only two experimetal studies were performed abroad. Therefore, it was found that the trend of the study design used is survey design and there are more correlational studies done abroad than in Korea. Third, the type of the study subjects ; 11 Korean and three foreign studies dealt with healthy people. In addition, three Korean and 14 foreign studies investigated patients with various illnesses. It was found that patients with various illnesses were studied more frequently in foreign studies than in Korean studies. Fourth, the measurement tool used in the Korean studies ; 13 studies used a testible tool to assess patients' subjective symtoms or complaints of fatigue. The most commonly used tool used in 10 studies, was the Fatigue Self-Perception Scale, which was designed by the Labor and Health Institute of Japan. The Visual Analogue Scale was used in two studies, and Piper Fatigue Scale, addtional with physiologic parameters, was used in one study. In the foreign studies, subjective measurement tools were used in 16 studies. A combination of a subjective measurement tool with objective parameters was used in ten studies. For the subjective measurement tool used in the foreign studies, a specific measurement tool developed by the researcher which was used in seven studies. Either Rhoten Fatigue Scale or the Visual Analog Scale were used in three studies. Additionally, in order to identify the relationship between fatigue and psychological factors, The Profile of Mood State was used in three studies. Beck Depression Inventory was used in two studies. The Self Rated Depression Scale, developed by Zung, was used in one study and other measurement tools were used to measure various psychological parameters. Rhoten fatigue Checklist was also used to observe behavior patterns. Lastly, nine studies identified correlations between fatigue and other parameters. A significant correlation was found between fatigue and psychological factors such as depression, and pain. As a result of the above findings, it can be said that research trends on fatigue are increasing internationally. The selected study designs are survey studies both in Korea and abroad. There are more correlational studies abroad than in Korea. In addition, subjective measurement tools and objective parameters are used variously and combined with each other. had, there is a significant correlation between fatigue and psychological factors such as depression, and pain. More survey and correlational studies need to be done to identify the relationship of fatigue in patients with various condition or diagnoses and to suggest a scientific basis for nursing interventions with fatigue. Also, a tool to assess patient's subjective, objective, and behavioral aspects on fatigue needs to be developed.

• Proceedings of the KIEE Conference
• /
• 2015.07a
• /
• pp.351-352
• /
• 2015

Thyristor-controlled series capacitor (TCSC) is a power electronic-based device that provides a fast and controllable series compensation of transmission line reactance. To match with laboratory facilities and for further research initiatives, a practical laboratory scale TCSC was designed and fabricated in this paper. The TCSC parameters were designed based on the terminologies such as percentage of compensation, boost factor and resonance factor. According to the design parameters, a prototype laboratory scale TCSC with a constant reactance controller was fabricated and tested. The measured results from the laboratory scale TCSC demonstrate the ability of the TCSC to provide rapid control of series reactance of a transmission line.

• Coupled systems mechanics
• /
• v.7 no.2
• /
• pp.211-232
• /
• 2018

In this work we present an upscaling technique for multi-scale computations based on a stochastic model calibration technique. We consider a coarse-scale continuum material model described in the framework of generalized standard materials. The model parameters are considered uncertain, and are determined in a Bayesian framework for the given fine scale data in a form of stored energy and dissipation potential. The proposed stochastic upscaling approach is independent w.r.t. the choice of models on coarse and fine scales. Simple numerical examples are shown to demonstrate the ability of the proposed approach to calibrate coarse scale elastic and inelastic material parameters.