• Journal of the Korean Crystal Growth and Crystal Technology
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• v.25 no.1
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• pp.27-31
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• 2015

The degradation of refractories can be caused by erosion, friction of abrasive particles, as well as by corrosion by molten slag in the gasification reactors. There was little knowledge about the erosion of refractories so far. The castable refractories of which the maximum applying temperature of 1300 and $1500^{\circ}C$ were abraded using SiC particles varying the incidence angles. It was revealed that the maximum abrasion was occurred at the incidence angle of $60{\sim}75^{\circ}$ not at $90^{\circ}$ and thought that the porosity of the refractories was the principle factor.

• Applied Science and Convergence Technology
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• v.27 no.5
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• pp.90-94
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• 2018

The electron band structure of manganese-adsorbed graphene on an SiC(0001) substrate has been studied using angle-resolved photoemission spectroscopy. Upon introducing manganese atoms, the conduction band of graphene, that is observed in pristine graphene indicating intrinsic electron-doping by the substrate, completely disappears and the valence band maximum is observed at 0.4 eV below Fermi energy. At the same time, the slope of the valence band decreases by the presence of manganese atoms, approaching the electron band structure calculated using the local density approximation method. The former provides experimental evidence of the formation of nearly free-standing graphene on an SiC substrate, concomitant with a metal-to-insulator transition. The latter suggests that its electronic correlations are efficiently screened, suggesting that the dielectric property of the substrate is modified by manganese atoms and indicating that electronic correlations in grpahene can also be tuned by foreign atoms. These results pave the way for promising device application using graphene that is semiconducting and charge neutral.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.367-372
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• 2018

This paper proposed an algorithm that detects boundary nodes effectively in wireless sensor network. A boundary node is a sensor that lies on the border of network holes or the outer boundary of wireless sensor network. Proposed algorithm detects boundary nodes using only the position information of sensors. In addition, to improve detect performance, sensor computes the overlap area of nearest sensor first. Simulation is performed to validate the process of the proposed algorithm. In Simulation, several obstacles are placed and varying number of sensors in the range of 500~1500 are deployed in the area in order to reflect real world. The simulation results shows that proposed algorithm detects boundary nodes effectively that are located on the border of holes and the outer boundary of wireless sensor network.

• Journal of Advanced Information Technology and Convergence
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• v.8 no.2
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• pp.101-110
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• 2018

This paper introduces feedback linearization (FL) based adaptive sliding mode control (ASMC) effective against ground effects of the quadrotor UAV. The proposed control has the capability of estimation and effective rejection of those effects by adaptive mechanism, which resulting stable attitude and positioning of the quadrotor. As output variables of quadrotor, x-y-z position and yaw angle are chosen. Dynamic extension of the quadrotor dynamics is obtained for terms of roll and pitch control input to be appeared explicitly in x-y-z dynamics, and then linear feedback control including a ground effect is designed. A sliding mode control (SMC) is designed with a class of FL including higher derivative terms, sliding surfaces for which is designed as a class of integral type of resulting closed loop dynamics. The asymptotic stability of the overall system was assured, based on Lyapunov stability methods. It was evaluated through some simulation that attitude control capability is stable under excessive estimation error for unknown ground effect and initial attitude of roll, pitch, and yaw angle of $30^{\circ}$ in all. Effectiveness of the proposed method was shown for quadrotor system with ground effects.

• Journal of Industrial Convergence
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• v.20 no.1
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• pp.107-114
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• 2022

Scoliosis is defined as a condition in which the spine curves more than 10 degrees in frontal plane. However, it is complicated because it involves transverse and sagittal components as well as the frontal plane. Curvature can progress to growing children and cause serious problems. Treatments of Scoliosis, including observation, are casting, braces, physical therapy, exercise, and surgery. The goal of scoliosis management is to achieve minimal asymmetry by maintaining low angle values. However, it is difficult for adolescents to receive continuous treatment due to study and lack of time. We report cases of scoliosis that have experienced improvement of Cobb's angle through spinal thermal massage management at home.

• Steel and Composite Structures
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• v.51 no.4
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• pp.417-440
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• 2024

Artificial neural networks (ANN) have been the focus of several studies when it comes to evaluating the pile's bearing capacity. Nonetheless, the principal drawbacks of employing this method are the sluggish rate of convergence and the constraints of ANN in locating global minima. The current work aimed to build four ANN-based prediction models enhanced with methods from the black hole algorithm (BHA), league championship algorithm (LCA), shuffled complex evolution (SCE), and symbiotic organisms search (SOS) to estimate the carrying capacity of piles in cold climates. To provide the crucial dataset required to build the model, fifty-eight concrete pile experiments were conducted. The pile geometrical properties, internal friction angle 𝛗 shaft, internal friction angle 𝛗 tip, pile length, pile area, and vertical effective stress were established as the network inputs, and the BHA, LCA, SCE, and SOS-based ANN models were set up to provide the pile bearing capacity as the output. Following a sensitivity analysis to determine the optimal BHA, LCA, SCE, and SOS parameters and a train and test procedure to determine the optimal network architecture or the number of hidden nodes, the best prediction approach was selected. The outcomes show a good agreement between the measured bearing capabilities and the pile bearing capacities forecasted by SCE-MLP. The testing dataset's respective mean square error and coefficient of determination, which are 0.91846 and 391.1539, indicate that using the SCE-MLP approach as a practical, efficient, and highly reliable technique to forecast the pile's bearing capacity is advantageous.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.499-505
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• 2022

Recently, the metaverse has been receiving a lot of attention. Metaverse means a virtual space, and various events can be held in this space. In particular, 360-degree video, a format optimized for the metaverse space, is attracting attention. A 360-degree video image is created by stitching images taken with multiple cameras or lenses in all 360-degree directions. When shooting a 360-degree video, a variety of shooting equipment, including a shooting staff to take a picture of a subject in front of the camera, is displayed on the video. Therefore, when shooting a 360-degree video, you have to hide everything except the subject around the camera. There are several problems with this shooting method. Among them, lighting is the biggest problem. This is because it is very difficult to install a fixture that focuses on the subject from behind the camera as in conventional image shooting. This study is an experimental study to find the optimal angle for 360-degree images by adjusting the angle of indoor lighting. We propose a method to record 360-degree video without installing additional lighting. Based on the results of this study, it is expected that experiments will be conducted through more various shooting angles in the future, and furthermore, it is expected that it will be helpful when using 360-degree images in the metaverse space.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.501-506
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• 2020

In this experimental study, we have analyzed aerodynamic performance of the four representative types of passenger car vehicles, different types of side window angles, different types of engine hood angles, and the angle difference of the roof line in order to comprehensively analyze how the aerodynamic performance varies with different shape of vehicle. Experiment results showed that the rear window falling at aa certain angle lowered aerodynamic performance, angle difference of the lowered roof line did not affect aerodynamic performance, and the back window line falling at certain angles had no visible effect on aerodynamic performance. Back window line leaning towards front side may help enhance styling aesthetics, but aerodynamic performance decreased. In case of rear diffuser installation, aerodynamic performance also decreased.

• Journal of the Microelectronics and Packaging Society
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• v.17 no.1
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• pp.47-53
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• 2010

In this study, analyses on the stencil printing using solder paste were carried out. The key design parameters in the stencil printing process are printing conditions, stencil design, and solder paste properties. Among these parameters, the effects of physical properties of solder paste such as viscosity, surface tension, and contact angle on the stencil printing process were investigated. The analyses were performed for simple geometry and boundary conditions. In the analysis, solder paste was pushed into a stencil hole by pressure instead of printer pad. Considering the geometry and computational efficiency, axisymmetric analyses were adopted. A commercial software (COMSOL), which is well known in the area of micro-fluids analysis, was used. From the results, it was shown that viscosity of solder paste had an effect on the filling speed, while surface tension and contact angle had an effect on the filling shape.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.339-345
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• 2021

In this paper, estimation angle performance analysis of amplitude-comparison monopulse radar under additive noise effect is dealt with. When uncorrelated white noises are added to the squinted beams, the angle estimation performance is analyzed through the mean square error(MSE). The numerical integration-based mean square error result completely overlaps the Monte Carlo-based mean square error result, which corresponds to 99.8% of the Monte Carlo-based mean square error result. In addition, the mean square error analysis method based on numerical integration has a much faster operation time than the mean square error method based on Monte Carlo. the angle estimation performance of the amplitude comparison monopulse radar can be efficiently analyzed in various noise environments through the proposed numerical integration-based mean square error method.