Autor: Islam, M.A. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: A 3D directive microwave antenna for biomedical imaging application
Autorzy:: Ullah, M. A.
Alam, T.
Islam, M. T.
Powiązania:: https://bibliotekanauki.pl/articles/200173.pdf
Data publikacji:: 2018
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: antenna
3D antenna
microwave sensor
microwave imaging
unidirectional
antena
antena 3D
czujnik mikrofalowy
obrazowanie mikrofalowe
Opis:: A directive three dimensional antenna, using folded radiating structure has been presented for the application of microwave imaging in clinical diagnosis. Two reflector walls have been introduced to achieve higher gain and directive radiation pattern along with the folding technique. The shorting wall technique is utilized to reduce the overall antenna size and to get resonance at a lower frequency. The proposed antenna obtained operating band at 1.67 GHz to 1.74 GHz. The dimension of the 3D radiating structure is 40£25£10.5 mm3. The antenna has an average realized gain of 5.2 dBi. Owing to the unidirectional radiation pattern, high gain and operating bandwidth within lower microwave frequency, the proposed antenna has potential to be used in microwave imaging for biomedical diagnosis. Also, the antenna has been utilized to compute an imaging phenomenon to detect abnormality in human head and result is presented. The design and simulation process are performed in the CST Microwave Studio software. The antenna is fabricated from 0.2 mm thick copper sheets. The results of the fabricated antenna are measured using PNA Network Analyzer (N5227A) and Satimo Star Lab.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 3; 355-360
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: A two-stage stochastic programming approach for production planning system with seasonal demand
Autorzy:: Mahmoud, Asmaa A.
Aly, Mohamed F.
Mohib, Ahmed M.
Afefy, Islam H.
Powiązania:: https://bibliotekanauki.pl/articles/952860.pdf
Data publikacji:: 2020
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: process manufacturing system
two-stage stochastic programming
sampling average approximation
Opis:: Seasonality is a function of a time series in which the data experiences regular and predictable changes that repeat each calendar year. Two-stage stochastic programming model for real industrial systems at the case of a seasonal demand is presented. Sampling average approximation (SAA) method was applied to solve a stochastic model which gave a productive structure for distinguishing and statistically testing a different production plan. Lingo tool is developed to obtain the optimal solution for the proposed model which is validated by Math works Matlab. The actual data of the industrial system; from the General Manufacturing Company, was applied to examine the proposed model. Seasonal future demand is then estimated using the multiplicative seasonal method, the effect of seasonality was presented and discussed. One might say that the proposed model is viewed as a moderately accurate tool for industrial systems in case of seasonal demand. The current research may be considered a significant tool in case of seasonal demand. To illustrate the applicability of the proposed model a numerical example is solved using the proposed technique. ANOVA analysis is applied using MINITAB 17 statistical software to validate the obtained results.
Źródło:: Management and Production Engineering Review; 2020, 11, 1; 31--42
2080-8208
2082-1344
Pojawia się w:: Management and Production Engineering Review
Dostawca treści:: Biblioteka Nauki

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