Functionalized multi-walled carbon nanotubes network sensor for NO2 gas detection at room temperature
(6)
(6)
Publication Date
Mon Feb 28 2022
Journal Name
Structural Chemistry
Sensitivity of SnO2 nanoparticles/reduced graphene oxide hybrid to NO2 gas: A DFT study
Abstract<p>The sensitivity of SnO<sub>2</sub> nanoparticles/reduced graphene oxide hybrid to NO<sub>2</sub> gas is discussed in the present work using density functional theory (DFT). The SnO<sub>2</sub> nanoparticles shapes are taken as pyramids, as proved by experiments. The reduced graphene oxide (rGO) edges have oxygen or oxygen-containing functional groups. However, the upper and lower surfaces of rGO are clean, as expected from the oxide reduction procedure. Results show that SnO<sub>2</sub> particles are connected at the edges of rGO, making a p-n heterojunction with a reduced agglomeration of SnO2 particles and high gas sensitivity. The DFT results are in</p>
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Publication Date
Sun Nov 01 2020
Journal Name
Journal Of Engineering
Convolutional Multi-Spike Neural Network as Intelligent System Prediction for Control Systems
Convolutional Neural Network
Multi-Spike Neural Network
Non-linear dynamical systems.
The evolution in the field of Artificial Intelligent (AI) with its training algorithms make AI very important in different aspect of the life. The prediction problem of behavior of dynamical control system is one of the most important issue that the AI can be employed to solve it. In this paper, a Convolutional Multi-Spike Neural Network (CMSNN) is proposed as smart system to predict the response of nonlinear dynamical systems. The proposed structure mixed the advantages of Convolutional Neural Network (CNN) with Multi -Spike Neural Network (MSNN) to generate the smart structure. The CMSNN has the capability of training weights based on a proposed training algorithm. The simulation results demonstrated that the proposed
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(1)
Publication Date
Mon May 04 2020
Journal Name
Offshore Technology Conference
Hydrate Equilibrium Model for Gas Mixtures Containing Methane, Nitrogen and Carbon Dioxide
Abstract<p>Gas hydrate formation is considered one of the major problems facing the oil and gas industry as it poses a significant threat to the production, transportation and processing of natural gas. These solid structures can nucleate and agglomerate gradually so that a large cluster of hydrate is formed, which can clog flow lines, chokes, valves, and other production facilities. Thus, an accurate predictive model is necessary for designing natural gas production systems at safe operating conditions and mitigating the issues induced by the formation of hydrates. In this context, a thermodynamic model for gas hydrate equilibrium conditions and cage occupancies of N2 + CH4 and N2 + CO4 gas mix</p>
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gas hydrate
cavity
equilibrium condition
flow assurance
modeling & simulation
hydrate equilibrium condition
upstream oil & gas
cage occupancy
hydrate
gas mixture
(6)
Publication Date
Sun Jun 07 2009
Journal Name
Baghdad Science Journal
The adsorption-desorption process as a method for separation of nitrogen-carbon dioxide gas mixture using activated carbon
"adsorption – desorption
Gas separation
Surface area
Gas purification"
Gas adsorption phenomenon on solid surface has been used as a mean in separation and purification of gas mixture depending on the difference in tendencies of each component in the gas mixture to be adsorbed on the solid surface according to its behaviour. This work concerns to study the possibilities to separate the gas mixture using adsorption-desorption phenomenon on activated carbon. The experimental results exhibit good separation factor at temperature of -40 .
Publication Date
Sun Aug 24 2014
Journal Name
Wireless Personal Communications
(22)
(14)
Publication Date
Mon Jan 28 2019
Journal Name
Soft Computing
(11)
(9)
Publication Date
Sat Aug 25 2012
Journal Name
Wireless Personal Communications
(57)
(42)
Publication Date
Sat Oct 28 2023
Journal Name
Baghdad Science Journal
Improving Wireless Sensor Network Security Using Quantum Key Distribution
AES
BB84 protocol
QBER.
QKD
WSN
Wireless Sensor Networks (WSNs) are promoting the spread of the Internet for devices in all areas of
life, which makes it is a promising technology in the future. In the coming days, as attack technologies become
more improved, security will have an important role in WSN. Currently, quantum computers pose a significant
risk to current encryption technologies that work in tandem with intrusion detection systems because it is
difficult to implement quantum properties on sensors due to the resource limitations. In this paper, quantum
computing is used to develop a future-proof, robust, lightweight and resource-conscious approach to sensor
networks. Great emphasis is placed on the concepts of using the BB8
(2)
Publication Date
Sat Apr 01 2023
Journal Name
Chemical Methodologies
(11)
Publication Date
Sun Jun 01 2014
Journal Name
Baghdad Science Journal
Preparation of polymer thin film using as NH3 gas Sensor
Polyaniline organic Semiconductor polymer thin films have been prepared by oxidative polymerization at room temperature, this polymer was deposited on glass substrate with thickness 900nm, FTIR spectra was tested , the structural,optical and electrical properties were studied through XRD ,UV-Vis ,IR measurements ,the results was appeared that polymer thin film sensing to NH3 gas.