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Study Effects of Illumination and Temperature on Performance of (pn-Si) Device using Simulation Program SCAPS-1D

The current research included obtaining the best performance specifications for a silicon device with a mono-crystalline type pn junction (pn–Si). A simulation of the device was performed by the use of a computer program in one dimension SCAPS-1D in order to reach the optimum thickness for both p and n layers and to obtain the best efficiency in performance of the pn-Si junction. The optimum device efficiency was eta (η) = 12.4236 % when the ideal thickness for the p and n layers was 5µm and 1.175µm, respectively (p=5 µm and n=1.75µm).

     The research included studying the effects of different spectra of solar illumination using simulation of the device; the usual solar spectrum AM1_5 G1 sun. Spectrum, Black body spectrum, White spectrum constant photon flux, White spectrum constant photon power, Monochromatic spectrum constant flux, and Monochromatic spectrum constant power. The highest efficiency was obtained from the monochrome spectrum with constant power (eta (η) =22.4338 %). The effects of different temperatures on the device was studied on 250K, 300K, 350K, 400K, and 450K. The highest efficiency was revealed for Monochromatic spectrum constant power (eta (η) =24.5381 %) when the temperature was 250K.

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Publication Date
Thu Jan 01 2015
Journal Name
International Journal Of Computer Science And Mobile Computing
Publication Date
Tue Aug 01 2017
Journal Name
International Journal Of Advanced Research In Computer And Communication Engineering
Publication Date
Tue Oct 27 2020
Journal Name
Journal Of Mechanics Of Continua And Mathematical Sciences
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Publication Date
Mon Oct 01 2018
Journal Name
International Journal Of Modern Trends In Engineering And Research
Publication Date
Wed Jan 01 2020
Journal Name
Solid State Technology
Image Fusion Using A Convolutional Neural Network

Image Fusion Using A Convolutional Neural Network

Publication Date
Sun Jun 01 2008
Journal Name
Baghdad Science Journal
The Writer Authentication by Using Syllables Frequency

An approach is depended in the recent years to distinguish any author or writer from other by analyzing his writings or essays. This is done by analyzing the syllables of writings of an author. The syllable is composed of two letters; therefore the words of the writing are fragmented to syllables and extract the most frequency syllables to become trait of that author. The research work depend on analyzed the frequency syllables in two cases, the first, when there is a space between the words, the second, when these spaces are ignored. The results is obtained from a program which scan the syllables in the text file, the performance is best in the first case since the sequence of the selected syllables is higher than the same syllables in

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Publication Date
Sun Jan 04 2015
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Laparoscopic splenectomy using bipolar vessel sealing system

Background: Newly developed vessels sealing device built upon bipolar diathermy technology had a great
impact on facilitating advances laparoscopic surgery. Laparoscopic splenectomy is well established procedure
but in this study the procedure is totally based on bipolar vessel sealing system in devascularization of the
spleen.
Objective: To evaluate the safety of laparoscopic splenectomy with vessels sealing device and its
outcome.
Patient and method: Prospective study conducted in Baghdad Teaching Hospital and Dijlah private hospital
from October 2009 to October 2013. Thirty patients with idiopathic thrombocytopenic purpura(ITP) were
included and had laparoscopic splenectomy . The adapted procedure was stapleles

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Publication Date
Sat Aug 01 2020
Journal Name
International Journal Of Electrical And Computer Engineering (ijece)
Text hiding in text using invisible character

Steganography can be defined as the art and science of hiding information in the data that could be read by computer. This science cannot recognize stego-cover and the original one whether by eye or by computer when seeing the statistical samples. This paper presents a new method to hide text in text characters. The systematic method uses the structure of invisible character to hide and extract secret texts. The creation of secret message comprises four main stages such using the letter from the original message, selecting the suitable cover text, dividing the cover text into blocks, hiding the secret text using the invisible character and comparing the cover-text and stego-object. This study uses an invisible character (white space

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Publication Date
Wed Mar 01 2017
Journal Name
2017 Annual Conference On New Trends In Information & Communications Technology Applications (ntict)
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Publication Date
Thu Nov 01 2018
Journal Name
2018 1st Annual International Conference On Information And Sciences (aicis)
Speech Emotion Recognition Using Minimum Extracted Features

Recognizing speech emotions is an important subject in pattern recognition. This work is about studying the effect of extracting the minimum possible number of features on the speech emotion recognition (SER) system. In this paper, three experiments performed to reach the best way that gives good accuracy. The first one extracting only three features: zero crossing rate (ZCR), mean, and standard deviation (SD) from emotional speech samples, the second one extracting only the first 12 Mel frequency cepstral coefficient (MFCC) features, and the last experiment applying feature fusion between the mentioned features. In all experiments, the features are classified using five types of classification techniques, which are the Random Forest (RF),

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