• Title/Summary/Keyword: Electrical potential energy

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Estimation of the Evoked Potential using Bispectrum with Confidence Thresholding (Bispectrum을 이용한 EP 신호 복원에서의 Wiener process 응용)

  • Park, J.I.;Ahn, C.B.
    • Proceedings of the KOSOMBE Conference
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    • v.1995 no.11
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    • pp.265-268
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    • 1995
  • Signal averaging technique to improve signal-to-noise ratio has widely been used in various fields, especially in electrophysiology. Estimation of the EP(evoked potential) signal using the conventional averaging method fails to correctly reconstruct the original signal under EEG(electroencephalogram) noise especial]y when the latency times of the evoked potential are not identical. Therefore, a technique based on the bispectrum averaging was proposed for recovering signal waveform from a set o noisy signals with variable signal dalay. In this paper an improved bispectrum estimation technique of the RP signal is proposed using a confidence thresholding of the EP signal in frequency domain in which energy distribution of the EP signal is usually not uniform. The suggested technique is coupled with the conventional bispectrum estimation technique such as least square method and recursive method. Some results with simulated data and real EP signal are shown.

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Study of the Mobility for Strained p-type $Si_{1-x}Ge_x$ Alloys (변형 힘을 받는 p형 $Si_{1-x}Ge_x$의 이동도 연구)

  • 전상국
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.11 no.3
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    • pp.181-187
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    • 1998
  • The ionization energy and degree of ionization for p-type $Si_{1-x}Ge_x$ with boron doping are calculated taking into account the screening and broadening effects. The drift and Hall mobilities are then calculated using the relaxation time approximation and compared with the previously reported measurement data for relaxed and strained $Si_{1-x}Ge_x$ alloys to estimate the alloy scattering potential. From a fit, the alloy scattering potential is found to be 0.5 eV. The in-plane drift mobility for p-type strained $Si_{1-x}Ge_x$ grown on (001) Si substrate is approximately 1+$10x^2$ times higher than that for bulk Si in the high doping range.

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Simulation of electron tunneling time through a potential barrier (전위 장벽에 대한 전자의 터널링 시간의 시뮬레이션)

  • Lee, Wook;Lee, Byoung-Ho
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.45 no.1
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    • pp.159-163
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    • 1996
  • Simulated electron tunneling time through a potential barrier is compared with theoretical phase time. For a GaAs/Al/sub 0.3/Ga/sub 0.7/As/GaAs potential barrier with 300 meV height and 3 nm or 5 nm width, simulations are performed with various average electron energies and momentum deviations. The simulation results become closer to the theoretical phase time as the average electron energy decreases and as the momentum deviation decreases. It is also shown that a barrier, which is due to the peak spectrum shift in the momentum space after tunneling. (author). refs., figs.

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A Review of Electronic Devices Based on Halide Perovskite Materials (할라이드 페로브스카이트 소재를 이용한 전자 소자에 관한 리뷰)

  • Hyeong Gi Park;Jungyup Yang
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.37 no.5
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    • pp.519-526
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    • 2024
  • This review examines the use of halide perovskite materials in electronic devices, highlighting their exceptional optoelectronic properties and the challenges associated with them. Despite their potential for high-performance devices, practical applications are limited by sensitivity to environmental factors such as moisture and oxygen, etc. We discuss advances in enhancing stability and operational reliability, featuring innovative synthesis methods and device engineering strategies that help mitigate degradation. Furthermore, we explore the integration of perovskites in applications such as field-effect transistors and LEDs, emphasizing their transformative potential. This review also outlines future research directions, stressing the need for ongoing improvements in material stability and device integration to fully realize the commercial potential of perovskites.

Safety Principles in the Application of Lasers in Energy-based Aesthetic Procedures from the Nurse's Perspective

  • Kim, Youn Jeong
    • Medical Lasers
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    • v.9 no.1
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    • pp.34-38
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    • 2020
  • Recently, various lasers and energy-based devices (EBDs) have been widely used in aesthetic procedures. Although using lasers and energy-based aesthetic procedures presents a potential risk to doctors, nurses, and patients, aesthetic procedures tend to be performed without the necessary precautions. For injury prevention, it is essential to follow safety rules and be aware of potential accidents. Furthermore, it is important to understand the basic principles of the devices, including the different optical and electrical properties. Acquiring the exact knowledge to control a device is important for two reasons; to maintain a safer operating environment and prolong the lifespan of expensive devices. This review briefly summarizes the knowledge needed for better and safer aesthetic procedures and the proper control of aesthetic devices.

Electricity Pricing Policy Alternatives to Control Rapid Electrification in Korea

  • Kim, Changseob;Shin, Jungwoo
    • Journal of Electrical Engineering and Technology
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    • v.11 no.2
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    • pp.285-299
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    • 2016
  • Although South Korea experienced a rolling blackout in 2011, the possibility of a blackout in South Korea continues to increase due to rapid electrification. This study examines the problems of energy taxation and price distortions as possible reasons for the rapid electrification in South Korea, which is occurring at a faster rate than in Japan, Europe, and other developed countries. Further, we suggest new energy taxation and price systems designed to normalize electricity prices. In order to do so, we consider two possible scenarios: the first imposes a tax on bituminous coal for electricity generation and the second levies a tax to provide compensation for the potential damages from a nuclear accident. Based on these scenarios, we analyze the effects of a new energy system on electricity price and demand. The results show that a new energy system could guarantee the power generation costs and balance the relative prices between energy sources, and could also help prevent rapid electrification. Therefore, the suggested new energy system is expected to be utilized as a basis for energy policy to decrease the speed of electrification, thus preventing a blackout, and to induce the rational consumption of energy in South Korea.

An Economic Analysis of Potential Cost Savings from the Use of Low Voltage DC (LVDC) Distribution Network

  • Hur, Don;Baldick, Ross
    • Journal of Electrical Engineering and Technology
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    • v.9 no.3
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    • pp.812-819
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    • 2014
  • The proposed technical work attempts to compare the two key technologies of power distribution, i.e. direct current (DC) and alternating current (AC) in a fiscal manner. The DC versus AC debate has been around since the earliest days of electric power. Here, at least four types of a low voltage DC (LVDC) distribution are examined as an alternative to the existing medium voltage AC (MVAC) distribution with an economic assessment technique for a project investment. Besides, the sensitivity analysis will be incorporated in the overall economic analysis model to cover uncertainties of the input data. A detailed feasibility study indicates that many of the common benefits claimed for an LVDC distribution will continue to grow more profoundly as it is foreseen to arise with the increased integration of renewable energy sources and the proliferation of energy storage associated with the enhanced utilization of uninterruptible power supply (UPS) systems.

A Novel Modulation Method for Three-Level Inverter Neutral Point Potential Oscillation Elimination

  • Yao, Yuan;Kang, Longyun;Zhang, Zhi
    • Journal of Power Electronics
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    • v.18 no.2
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    • pp.445-455
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    • 2018
  • A novel algorithm is proposed to regulate the neutral point potential in neutral point clamped three-level inverters. Oscillations of the neutral point potential and an unbalanced dc-link voltage cause distortions of the output voltage. Large capacitors, which make the application costly and bulky, are needed to eliminate oscillations. Thus, the algorithm proposed in this paper utilizes the finite-control-set model predictive control and the multistage medium vector to solve these issues. The proposed strategy consists of a two-step prediction and a cost function to evaluate the selected multistage medium vector. Unlike the virtual vector method, the multistage medium vector is a mixture of the virtual vector and the original vector. In addition, its amplitude is variable. The neutral point current generated by it can be used to adjust the neutral point potential. When compared with the virtual vector method, the multistage medium vector contributes to decreasing the regulation time when the modulation index is high. The vectors are rearranged to cope with the variable switching frequency of the model predictive control. Simulation and experimental results verify the validity of the proposed strategy.

Enhanced Electromagnetic Properties of Nickel Nanoparticles Dispersed Carbon Fiber via Electron Beam Irradiation (전자선 안정화에 의한 니켈 나노 입자가 분산된 탄소섬유의 전자기적 특성 향상)

  • Lee, Yeong Ju;Kim, Hyun Bin;Lee, Seung Jun;Kang, Phil Hyun
    • Journal of Radiation Industry
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    • v.9 no.1
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    • pp.15-20
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    • 2015
  • Carbon fiber has received much attention owing to its properties, including a large surface-to-volume ratio, chemical and thermal stability, high thermal and electrical conductivity, and high mechanical strengths. In particular, magnetic nanopowder dispersed carbon fiber has been attractive in technological applications such as the electrochemical capacitor and electromagnetic wave shielding. In this study, the nickel-oxide-nanoparticle dispersed polyacrylonitrile (PAN) fibers were prepared through an electrospinning method. Electron beam irradiation was carried out with a 2.5 MeV beam energy to stabilize the materials. The samples were then heat-treated for stabilization and carbonization. The nanofiber surface was analyzed using a field emission scanning electron microscope (FE-SEM). The crystal structures of the carbon matrix and nickel nanopowders were analysed using X-ray diffraction (XRD). In addition, the magnetic and electrical properties were analyzed using a vibrating sample magnetometer (VSM) and 4 point probe. As the irradiation dose increases, the density of the carbon fiber was increased. In addition, the electrical properties of the carbon fiber improved through electron beam irradiation. This is because the amorphous region of the carbon fiber decreases. This electron beam effect of PAN fibers containing nickel nanoparticles confirmed their potential as a high performance carbon material for various applications.

Optimum solar energy harvesting system using artificial intelligence

  • Sunardi Sangsang Sasmowiyono;Abdul Fadlil;Arsyad Cahya Subrata
    • ETRI Journal
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    • v.45 no.6
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    • pp.996-1006
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    • 2023
  • Renewable energy is promoted massively to overcome problems that fossil fuel power plants generate. One popular renewable energy type that offers easy installation is a photovoltaic (PV) system. However, the energy harvested through a PV system is not optimal because influenced by exposure to solar irradiance in the PV module, which is constantly changing caused by weather. The maximum power point tracking (MPPT) technique was developed to maximize the energy potential harvested from the PV system. This paper presents the MPPT technique, which is operated on a new high-gain voltage DC/DC converter that has never been tested before for the MPPT technique in PV systems. Fuzzy logic (FL) was used to operate the MPPT technique on the converter. Conventional and adaptive perturb and observe (P&O) techniques based on variables step size were also used to operate the MPPT. The performance generated by the FL algorithm outperformed conventional and variable step-size P&O. It is evident that the oscillation caused by the FL algorithm is more petite than variables step-size and conventional P&O. Furthermore, FL's tracking speed algorithm for tracking MPP is twice as fast as conventional P&O.