Effect of Germanium Content on the Optical Constants of GexS1-x Thin Films

Bushra A. Hasan; Mohammed Abidalhur Kadhim

doi:10.1088/1757-899X/928/7/072009

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Publication Date

Sun Nov 01 2020

Journal Name

Iop Conference Series: Materials Science And Engineering

Volume

928

DOI

10.1088/1757-899X/928/7/072009

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Effect of Germanium Content on the Optical Constants of GexS1-x Thin Films

Ge xS1-xchalcogene thin films

optical constants

energy gap.

Bushra A. Hasan

Mohammed Abidalhur Kadhim

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AbstractIn this study the alloys Ge xS1-x with different Ge content (x=0, 0.1,0.2 and 0.3) wt.% have been successfully prepared by evacuated quartz tube under vacuum pressure (10−2Torr), whereas Ge xS1-x thin films were prepared by thermal evaporation technique under vacuum (10−5Torr) with (x=0,0.1,0.2 and 0.3). The optical properties measurements shows that the optical energy gap decrease from (3.4 to 3 eV) with the increase of x content, the optical constants declare significant variation with x content variation.

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Publication Date

Sun Dec 09 2018

Journal Name

Baghdad Science Journal

Optimal UAV Deployment for Data Collection in Deadline-based IoT Applications

Data Collection

Deadline Time

Energy Efficiency

Internet of things

Mixed Integer Linear Programming

Unmanned Aerial Vehicles.

Alaa Taima

Seyed Amin Hosseini

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The deployment of UAVs is one of the key challenges in UAV-based communications while using UAVs for IoT applications. In this article, a new scheme for energy efficient data collection with a deadline time for the Internet of things (IoT) using the Unmanned Aerial Vehicles (UAV) is presented. We provided a new data collection method, which was set to collect IoT node data by providing an efficient deployment and mobility of multiple UAV, used to collect data from ground internet of things devices in a given deadline time. In the proposed method, data collection was done with minimum energy consumption of IoTs as well as UAVs. In order to find an optimal solution to this problem, we will first provide a mixed integer linear programming m

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