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Publication Date

Sun Jan 14 2018

Journal Name

Journal Of Engineering

Volume

24

Issue Number

1

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Second Order Sliding Mode Controller Design for Pneumatic Artificial Muscle

PAM

Sliding Mode Controller.

Ammar

Laith

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In this paper, first and second order sliding mode controllers are designed for a single link robotic arm actuated by two Pneumatic Artificial Muscles (PAMs). A new mathematical model for the arm has been developed based on the model of large scale pneumatic muscle actuator model. Uncertainty in parameters has been presented and tested for the two controllers. The simulation results of the second-order sliding mode controller proves to have a low tracking error and chattering effect as compared to the first order one. The verification has been done by using MATLAB and Simulink software.

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Publication Date

Tue Nov 09 2021

Journal Name

Abu Dhabi International Petroleum Exhibition & Conference

Numerical Simulation of Gas Lift Optimization Using Artificial Intelligence for a Middle Eastern Oil Field

evolutionary algorithm

gas lift

artificial intelligence

upstream oil & gas

machine learning

optimization problem

correlation

presented

allocation

reservoir pressure

Mohammed Ahmed

Omar F.

Dhifaf Jaafar

Haider Abdulmuhsin

Mustafa Alaulddin

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AbstractArtificial lift techniques are a highly effective solution to aid the deterioration of the production especially for mature oil fields, gas lift is one of the oldest and most applied artificial lift methods especially for large oil fields, the gas that is required for injection is quite scarce and expensive resource, optimally allocating the injection rate in each well is a high importance task and not easily applicable. Conventional methods faced some major problems in solving this problem in a network with large number of wells, multi-constrains, multi-objectives, and limited amount of gas. This paper focuses on utilizing the Genetic Algorithm (GA) as a gas lift optimization algorit ... Show More

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Publication Date

Sat Jan 01 2022

Journal Name

Journal Of Intelligent Systems

Trip generation modeling for a selected sector in Baghdad city using the artificial neural network

Safa Ali

Mohammed Qadir

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AbstractThis study is planned with the aim of constructing models that can be used to forecast trip production in the Al-Karada region in Baghdad city incorporating the socioeconomic features, through the use of various statistical approaches to the modeling of trip generation, such as artificial neural network (ANN) and multiple linear regression (MLR). The research region was split into 11 zones to accomplish the study aim. Forms were issued based on the needed sample size of 1,170. Only 1,050 forms with responses were received, giving a response rate of 89.74% for the research region. The collected data were processed using the ANN technique in MATLAB v20. The same database was utilized to ... Show More

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Publication Date

Sun Nov 01 2020

Journal Name

Iop Conference Series: Materials Science And Engineering

Fatigue Characterization for Composite Materials used in Artificial Socket Prostheses with the Adding of Nanoparticles

Muhannad

Moneer H.

Muhsin J.

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AbstractThe prostheses sockets use normally composite materials which means that their applications may be related with the human body. Therefore, it was very necessary to improve the mechanical properties of these materials. The prosthetic sockets are subjected to varying stresses in gait cycle scenario which may cause a fatigue damage. Therefore, it is necessary or this work to modify the fatigue behavior of the materials used for manufacturing the prostheses sockets. In this work, different Nano particle materials are used to modify the mechanical properties of the composite materials, and increase the fatigue strength. By using an experimental technique, the effect of using different volu ... Show More

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Publication Date

Thu Oct 13 2022

Journal Name

Computation

A Pattern-Recognizer Artificial Neural Network for the Prediction of New Crescent Visibility in Iraq

Ziyad T.

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Various theories have been proposed since in last century to predict the first sighting of a new crescent moon. None of them uses the concept of machine and deep learning to process, interpret and simulate patterns hidden in databases. Many of these theories use interpolation and extrapolation techniques to identify sighting regions through such data. In this study, a pattern recognizer artificial neural network was trained to distinguish between visibility regions. Essential parameters of crescent moon sighting were collected from moon sight datasets and used to build an intelligent system of pattern recognition to predict the crescent sight conditions. The proposed ANN learned the datasets with an accuracy of more than 72% in comp

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Publication Date

Fri Jan 01 2021

Journal Name

Advances In Intelligent Systems And Computing

Optimal Prediction Using Artificial Intelligence Application

Ashour M.A.H.

IMAN AMER HAMEED

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Publication Date

Thu Oct 01 2020

Journal Name

Journal Of Engineering Science And Technology

Gamipog: A deterministic genetic multi-parameter-order strategy for the generation of variabLE STRENGTH COVERING ARRAYS

M. I.

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(4)

Publication Date

Sun Sep 06 2015

Journal Name

Baghdad Science Journal

Single-input Multiple-output Signals Third-order Active-R Filter for different Circuit Merit Factor (Q)

third-order active-R filter

Single-input Multiple-output signals

circuit merit factor Q

Adnan A.

Shinde G.

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Single-input Multiple-output Signals Third-order Active-R Filter for different Circuit Merit Factor Q Configuration is proposed. This paper discusses a new configuration to realize third-order low pass, band pass and high pass. The presented circuit uses Single-input Multiple-output signals, OP-AMP and passive components. This filter is useful for high frequency operation, monolithic IC implementation and it is easy to design .This circuit gives three filter functions low-pass, high-pass and band-pass. This filter circuit can be used for different merit factor (Q) with high pass band gain. This gives better stop-band attenuation and sharper cut-off at the edge of the pass-band. Thus the response shows wider pass-band. The Ideal value of thi

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Publication Date

Mon Mar 08 2021

Journal Name

Baghdad Science Journal

First Order Nonlinear Neutral Delay Differential Equations

Hussain All

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The author obtain results on the asymptotic behavior of the nonoscillatory solutions of first order nonlinear neutral differential equations. Keywords. Neutral differential equations, Oscillatory and Nonoscillatory solutions.

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Publication Date

Fri Jan 01 2021

Journal Name

International Journal Of Agricultural And Statistical Sciences

CUSTOM ANALYSIS THROUGH Nth ORDER GAUSSIAN NOISE

Munaf Yousif

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Publication Date

Tue Apr 01 2014

Journal Name

Journal Of Engineering

Priority Based Transmission Rate Control with Neural Network Controller in WMSNs

wireless multimedia sensor network

congestion control

QoS

neural network

Ali H.

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Wireless Multimedia Sensor Networks (WMSNs) are networks of wirelessly interconnected sensor nodes equipped with multimedia devices, such as cameras and microphones. Thus a WMSN will have the capability to transmit multimedia data, such as video and audio streams, still images, and scalar data from the environment. Most applications of WMSNs require the delivery of multimedia information with a certain level of Quality of Service (QoS). This is a challenging task because multimedia applications typically produce huge volumes of data requiring high transmission rates and extensive processing; the high data transmission rate of WMSNs usually leads to congestion, which in turn reduces the Quality of Service (QoS) of multimedia applications. To

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