Simulation of dislocation accumulation in ULSI cells and electric characteristic evaluations

There has been conducted Physics research on a material, that is, monitoring electric characteristic of a material using four-point probe method. This research measures current and voltage. The result is used to determine resistivity of a material. The research uses 2 samples, that is, chalk and charcoal. The result shows the resistivity of the sample in the form of bulk (t>s) for chalk has high resistivity on voltage of 6.6 Volt. Meanwhile, resistivity on thick sheet (t<s) has high resistivity on voltage of 7 Volt. On the charcoal material, large resistivity (t>s) is in 6 Volt, and on large resistivity (t<s) is in 6.6 Volt.

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Early Warning of Electric Characteristic Parameters on Electric Power System Based on Embedded System

MATEC Web of Conferences ◽

10.1051/matecconf/201817302031 ◽

2018 ◽

Vol 173 ◽

pp. 02031

Author(s):

Zhangli YANG

Keyword(s):

Power System ◽

Embedded System ◽

Electric Power ◽

Early Warning ◽

Control Program ◽

Electric Power System ◽

Characteristic Parameters ◽

Electric Characteristic ◽

Embedded Microprocessor ◽

Hardware Circuit

In order to avoid the operation accidents of power system caused by the influences of various artificial or nature factors, the paper explored the early warning of characteristic parameters on power system based on embedded system. In the paper, it taken a 110kV substation as an example, studied on therelated algorithm of the electric characteristic parameters, constructed the hardware and software platformbased on embedded microprocessor, and designed the hardware circuit and software control program. The commissioning test demonstrated that it could accurately judge the latent fault of related devices, and send correctly the trip command to make the isolation between the fault device and the power system so as to protect the system from being damaged. The experiment results show that it is effective and available to early warning of power system.

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Research on Modeling Methods of Power Amplifier with Memory Effect in Broadband Communication

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.687-691.4060 ◽

2014 ◽

Vol 687-691 ◽

pp. 4060-4063

Author(s):

Lu Sun ◽

Long Long Xue ◽

Jia Li Wang ◽

Chun Yang Zhou

Keyword(s):

Memory Effect ◽

Power Amplifier ◽

Polynomial Model ◽

Behavioral Modeling ◽

Design System ◽

Behavioral Models ◽

Electric Characteristic ◽

Memory Polynomial ◽

With Memory ◽

Frequency Power

Memory effect of power amplifier (PA) due to broadband signals which adopt new modulation technique is becoming obvious, and worsening the linearity of PA. Behavioral modeling for RF (Radio Frequency) power amplifier is indispensable to design digital pre-distortion system by which we can promote the efficiency of PA. According to the simulation data in the software of ADS (Advanced Design System), behavioral models of MRF21085 amplifier can be established by MATLAB. Comparison of memory polynomial model and ADS simulation of MRF21085 amplifier demonstrate memory polynomial model can represent the electric characteristic of it exactly.

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Mathematical Method for Parameters Calculation of electric Characteristic of Photovoltaic Module

Algerian Journal of Signals and Systems ◽

10.51485/ajss.v3i4.75 ◽

2018 ◽

Vol 3 (4) ◽

pp. 190-200

Author(s):

B. Benabdelkrim ◽

A. Benatillah

Keyword(s):

Standard Test ◽

Photovoltaic Module ◽

Unknown Parameters ◽

Efficient Manner ◽

Electric Characteristic ◽

Precise Knowledge ◽

Current Voltage ◽

Pv Modules ◽

Numerical Approaches ◽

Parameters Calculation

The study of photovoltaic systems (PV) in an efficient manner requires a precise knowledge of the I-V characteristic curves of PV modules. An accurate current-voltage (I-V) model of PV modules is inherently implicit and non-linear and calls for iterative computations to obtain an analytical expression of current as a function of voltage. In this paper, numerical approaches are proposed to forecast the PV modules performance for engineering applications. The proposed approaches were implemented in a Matlab script and the results have been compared with the datasheet values provided by manufacturers in standard test conditions (STC). These approaches permit to extract the unknown parameters and also allow quantifying the effects of module temperature and irradiance on key cells parameters. In this work, a comparative study of the performance characteristics for different modules thin films and solid is analyzed by a single-diode equivalent circuit using four- and five-parameter models and two diode model.

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