• The Transactions of the Korean Institute of Electrical Engineers
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• v.39 no.11
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• pp.1219-1226
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• 1990

This paper is to report the results on the design and construction of a thermal plasma generator with high current DC source. Also, this paper presents the methods to stabilize plasma and to find effects of process variables on plasma characteristics. For this purpose, the reaction chamber, vacuum system, plasma generating torch, magnetic field generating coil with power supply, high current DC source and the other parts have been designed. Fundamental properties of the thermal plasma under various conditions have been measured and analyzed. Magnetic Reynolds Number has been introduced to explain the relationship between plasma and external magnetic field. Through this number, the effect of magnetic field on the plasma has been explained under various flow rates and pressure. A sudden increase in the plasma voltage has been observed with the increase of magnetic field. From this, fundamental changes in plasma flow are believed to occur at the nozzle, and an effort to explain the phenomenon has been tried.

• Proceedings of the KIEE Conference
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• 1994.07a
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• pp.186-188
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• 1994

Fundamental characteristics of Giant Magnetostrictive Alloy Terfenol-D$(Tb_{0.3}Dy_{0.7}Fe_{1.9\sim1.95})$ were measured by experiments. Magnetostrictions of Terfenol-D samples whose lengths are 15 and 25 mm have been measured under compressive stress from 0 to 14 MPa, when the applied magnetic field was up to 1200 Oe. The relationship between magnetostriction and field is shown graphically in the form of $H-{\lambda}$, curve. For the experiment, solenoid magnet and lever-arm-type stress equipment were designed and fabricated. The magnetostriction is measured by laser displacement measuring system and the stress applied to the sample is measured by load cell.

• Journal of Sensor Science and Technology
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• v.17 no.6
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• pp.425-428
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• 2008

This paper describes the resonant characteristics of polycrystalline SiC micro resonators. The $1{\mu}m$ thick polycrystalline 3C-SiC cantilevers with different lengths were fabricated using a surface micromachining technique. Polycrystalline 3C-SiC micro resonators were actuated by piezoelectric element and their fundamental resonance was measured by a laser vibrometer in vacuum at room temperature. For the $100{\sim}40{\mu}m$ long cantilevers, the fundamental frequency appeared at $147.2kHz{\sim}856.3kHz$. The $100{\mu}m$ and $80{\mu}m$ long cantilevers have second mode resonant frequency at 857.5.kHz and 1.14.MHz, respectively. Therefore, polycrystalline 3C-SiC resonators are suitable for RF MEMS devices and bio/chemical sensor applications.

• Proceedings of the KIEE Conference
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• 1994.11a
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• pp.86-88
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• 1994

In this paper, we present the design procedure and analysis the fundamental characteristics for Linear DC motor using permeance method and finite element method. Designed LDM is made of two permanent magnets, three iron core and amateur windings. For the design the LDM, first of all it is nessary to calculate the air gap flux density and thrust force, after that to determine core size, the numbers of winding turns, winding width, motor cross section area and losses in the coil. Also, we analysis the fundamental characteristics for implemented LDM according to proposed design procedure, and we find that the implemented LDM generated constant thrust force for costant current as long as iron of core is not saturated. Finally, we find that the proposed design procedure in this paper is effective to design and implementation of LDM.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.34 no.11
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• pp.37-43
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• 2018

According to the evaluation of basic properties and mechanical characteristics of polymer cement mortars that contain re-dispersible type polymer, in the case of fresh mortars, flow and air content were increased due to the dispersion action of entrained air and surfactant with an increase of polymer addition ratio. In the case of mortars after hardening, flexural strength, bonding strength, absorption rate and carbonation resistance were improved due to the increased union and waterproof characteristics of internal structures as a result of the formation of polymer film.

• Journal of Digital Convergence
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• v.16 no.4
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• pp.289-297
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• 2018

The purpose of this study was to examine the correlations of learning attitude, class participation, and learning satisfaction, and to identify the influencing factors on learning satisfaction of nursing students in fundamental nursing curriculum. Data were collected from 173 nursing students from September 1 to 8, 2017. Data were analyzed using Pearson's correlation coefficients and stepwise multiple regression. Learning attitude, class participation, and learning satisfaction according to the general characteristics commonly showed significant differences in satisfaction with major, satisfaction with school, friendship, last semester grade, and interest in fundamental nursing. Learning satisfaction showed significant positive correlations with learning attitude and class participation. Satisfaction with major, interest in fundamental nursing, and class participation, which accounted for 36% of the variance, were significant predictors influencing learning satisfaction in nursing students. It is necessary to increase majors' satisfaction, fundamental nursing interest, and class participation in order to improve learning satisfaction of nursing students.

• Journal of IKEEE
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• v.27 no.4
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• pp.472-476
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• 2023

Fundamental frequency/pitch period are major characteristics of speech signals. They are used in many speech applications like speech coding, speech recognition, speaker identification, and so on. In this paper, some of inflection points are used to estimate the pitch which is the inverse of the fundamental frequency. The inflection points are defined as points where local maxima, local minima or the slope changes occur. The speech signal is preprocessed to remove unnecessary inflection points due to the high frequency components using a low pass filter. Only the inflection points from local maxima are used to get the pitch period. While the existing pitch estimation methods process speech signals in blockwise, the proposed method detects the inflection points in sample and produces the pitch period/fundamental frequency estimates along the time. Computer simulation shows the usefulness of the proposed method as a fundamental frequency estimator.

• Nuclear Engineering and Technology
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• v.52 no.12
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• pp.2687-2698
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• 2020

Most of the machine learning-based intrusion detection tools developed for Industrial Control Systems (ICS) are trained on network packet captures, and they rely on monitoring network layer traffic alone for intrusion detection. This approach produces weak intrusion detection systems, as ICS cyber-attacks have a real and significant impact on the process variables. A limited number of researchers consider integrating process measurements. However, in complex systems, process variable changes could result from different combinations of abnormal occurrences. This paper examines recent advances in intrusion detection algorithms, their limitations, challenges and the status of their application in critical infrastructures. We also introduce the discussion on the similarities and conflicts observed in the development of machine learning tools and techniques for fault diagnosis and cybersecurity in the protection of complex systems and the need to establish a clear difference between them. As a case study, we discuss special characteristics in nuclear power control systems and the factors that constraint the direct integration of security algorithms. Moreover, we discuss data reliability issues and present references and direct URL to recent open-source data repositories to aid researchers in developing data-driven ICS intrusion detection systems.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.399-407
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• 2021

Stock movement is difficult to predict because it has dynamic characteristics and is influenced by many factors. Even so, there are some approaches to predict stock price movements, namely technical analysis, fundamental analysis, and sentiment analysis. Many researches have tried to predict stock price movement by utilizing these analysis techniques. However, the results obtained are varied and inconsistent depending on the variables and object used. This is because stock price movement is influenced by a variety of factors, and it is likely that those studies did not cover all of them. One of which is that no research considers the use of fundamental analysis in terms of currency exchange rates and the use of foreign stock price index movement related to the technical analysis. This research aims to predict stock price movements in Indonesia based on sentiment analysis, technical analysis, and fundamental analysis using Support Vector Machine. The result obtained has a prediction accuracy rate of 65,33% on an average. The inclusion of currency exchange rate and foreign stock price index movement as a predictor in this research which can increase average prediction accuracy rate by 11.78% compared to the prediction without using these two variables which only results in average prediction accuracy rate of 53.55%.

• Earthquakes and Structures
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• v.22 no.3
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• pp.263-275
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• 2022

Structural collapses can occur as a result of a dynamic amplification of either, the building's seismic response or the ground shaking by local site effects; one of the reasons is a resonance effect due to the proximity of the structural elastic fundamental period TE and the soil fundamental period TS. We evaluate the vulnerability to resonance effects in Guadalajara, México, in a three-step schema: 1) we define structural systems in the building environment of western Guadalajara, in terms of their construction materials and structural components; 2) we estimate TE with different equations, to obtain a representative value in elastic conditions for each structural system; and, 3) we evaluate the resonance vulnerability by the analysis of the ratio between TE and TS. We observe that the larger the soil fundamental period, the higher the resonance vulnerability for buildings with height between 17 and 39 m. For the sites with a low TS, the most vulnerable buildings will be those with a height between 2 and 9 m. These results can be a helpful tool for disaster prevention, by avoiding the construction of buildings with certain heights and structural characteristics that would result in a dangerous proximity between TE and TS.