32 research outputs found
Mukhtiar Ali Unar's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Ship steering control using feedforward neural networks
No full textOne significant problem in the design of ship steering control systems is that the dynamics of the vessel change with operating conditions such as the forward speed of the vessel, the depth of the water and loading conditions etc. Approaches considered in the past to overcome these difficulties include the use of self adaptive control systems which adjust the control characteristics on a continuous basis to suit the current operating conditions.
Artificial neural networks have been receiving considerable attention in recent years and have been considered for a variety of applications where the characteristics of the controlled system change significantly with operating conditions or with time. Such networks have a configuration which remains fixed once the training phase is complete. The resulting controlled systems thus have more predictable characteristics than those which are found in many forms of traditional self-adaptive control systems. In particular, stability bounds can be investigated through simulation studies as with any other form of controller having fixed characteristics.
Feedforward neural networks have enjoyed many successful applications in the field of systems and control. These networks include two major categories: multilayer perceptrons and radial basis function networks. In this thesis, we explore the applicability of both of these artificial neural network architectures for automatic steering of ships in a course changing mode of operation.
The approach that has been adopted involves the training of a single artificial neural network to represent a series of conventional controllers for different operating conditions. The resulting network thus captures, in a nonlinear fashion, the essential characteristics of all of the conventional controllers. Most of the artificial neural network controllers developed in this thesis are trained with the data generated through simulation studies. However, experience is also gained of developing a neuro controller on the basis of real data gathered from an actual scale model of a supply ship.
Another important aspect of this work is the applicability of local model networks for modelling the dynamics of a ship. Local model networks can be regarded as a generalized form of radial basis function networks and have already proved their worth in a number of applications involving the modelling of systems in which the dynamic characteristics can vary significantly with the system operating conditions. The work presented in this thesis indicates that these networks are highly suitable for modelling the dynamics of a ship
Design and Development of an Automated Library Management System for Mehran University Library, Jamshoro
No full textThis study aims to seek the requirements of the integrated library management system proposed and developed for the Mehran University Library as a step to automate its library services. Study used models to come up with the system. Met most of the goals of the system by enabling library staff follow their clients and resources that they manage. A report generation as easy as all the information has become easier to manipulate because of the nature of electronic storage. Find reading material has been made easy because different criteria can be used to accomplish the task. The user interfaces are friendly and there was a need for re- training other than orientation. The researcher recommends that this system will be built on an ongoing basis to take care of library services other management includes serials and periodicals , and reservations book , e-mail notification automatic reminder , and the use of bar codes , scanners and labels , and the use of RFID ( Radio Frequency Identification) tags to reduce thefts book[1]. It is also recommended that the library system, go online so that access to books and lectures over the Internet by users. Keywords: Library Management, network, Service Deliver
Image Quality Assessment for Performance Evaluation of Focus Measure Operators
No full textThis paper presents the performance evaluation of eight focus measure operators namely Image CURV (Curvature), GRAE (Gradient Energy), HISE (Histogram Entropy), LAPM (Modified Laplacian), LAPV (Variance of Laplacian), LAPD (Diagonal Laplacian), LAP3 (Laplacian in 3D Window) and WAVS (Sum of Wavelet Coefficients). Statistical matrics such as MSE (Mean Squared Error), PNSR (Peak Signal to Noise Ratio), SC (Structural Content), NCC (Normalized Cross Correlation), MD (Maximum Difference) and NAE (Normalized Absolute Error) are used to evaluate stated focus measures in this research. . FR (Full Reference) method of the image quality assessment is utilized in this paper. Results indicate that LAPD method is comparatively better than other seven focus operators at typical imaging condition
Fuzzy Logic Trajectory Tracking Controller for a Tanker
No full textThis paper proposes a fuzzy logic controller for design of autopilot of a ship. Triangular membership
functions have been use for fuzzification and the centroid method for defuzzification. A nonlinear
mathematical model of an oil tanker has been considered whose parameters vary with the depth of
water.
The performance of proposed controller has been tested under both course changing and trajectory
keeping mode of operations. It has been demonstrated that the performance is robust in shallow as well
as deep waters
Parametric Study of Nonlinear Adaptive Cruise Control for a Road Vehicle Model by MPC
No full textMPC (Model Predictive Control) techniques, with constraints, are applied to a nonlinear vehicle model
for the development of an ACC (Adaptive Cruise Control) system for transitional manoeuvres. The
dynamic model of the vehicle is developed in the continuous-time domain and captures the real dynamics
of the sub-vehicle models for steady-state and transient operations. A parametric study for the MPC
method is conducted to analyse the response of the ACC vehicle for critical manoeuvres. The simulation
results show the significant sensitivity of the response of the vehicle model with ACC to controller
parameter and comparisons are made with a previous study. Furthermore, the approach adopted in
this work is believed to reflect the control actions taken by a real vehicle
Channel Equalization Using Multilayer Perceptron Networks
No full textIn most digital communication systems, bandwidth limited channel along with multipath propagation
causes ISI (Inter Symbol Interference) to occur. This phenomenon causes distortion of the given transmitted
symbol due to other transmitted symbols. With the help of equalization ISI can be reduced. This paper
presents a solution to the ISI problem by performing blind equalization using ANN (Artificial Neural
Networks). The simulated network is a multilayer feedforward Perceptron ANN, which has been trained
by utilizing the error back-propagation algorithm. The weights of the network are updated in accordance
with training of the network. This paper presents a very effective method for blind channel equalization,
being more efficient than the pre-existing algorithms. The obtained results show a visible reduction in
the noise content
pH Prediction by Artificial Neural Networks for the Drinking Water of the Distribution System of Hyderabad City
No full textABSTRAC
Harmonics Mitigation of Industrial Power System Using Passive Filters
No full textWith the development of modern industrial technology a large number of non-linear loads are used in
power system, which causes harmonic distortion in the power system. At the same time the power quality
and safe operation becomes inferior. Therefore mitigation of harmonics is very necessary under the
situation. This paper presents the design of two passive filters to reduce the current harmonics produced
by nonlinear loads in industrial power system. Matlab /simlink software has been used for the simulation
purpose. The results have been obtained with and without installation of filters and then it is observed that
after installation of filters harmonics of the current are reduced and power factor is improved
Manufacturing of Aluminum Composite Material Using Stir Casting Process
No full textManufacturing of aluminum alloy based casting composite materials via stir casting is
one of the prominent and economical route for development and processing of metal
matrix composites materials. Properties of these materials depend upon many
processing parameters and selection of matrix and reinforcements. Literature reveals
that most of the researchers are using 2, 6 and 7xxx aluminum matrix reinforced with
SiC particles for high strength properties whereas, insufficient information is available
on reinforcement of \"Al2O3\" particles in 7xxx aluminum matrix. The 7xxx series
aluminum matrix usually contains Cu-Zn-Mg. Therefore, the present research was
conducted to investigate the effect of elemental metal such as Cu-Zn-Mg in aluminum
matrix on mechanical properties of stir casting of aluminum composite materials
reinforced with alpha \"Al2O3\" particles using simple foundry melting alloying and
casting route.
The age hardening treatments were also applied to study the aging response of the
aluminum matrix on strength, ductility and hardness. The experimental results indicate
that aluminum matrix cast composite can be manufactured via conventional foundry
method giving very good responses to the strength and ductility up to 10% \"Al2O3\"
particles reinforced in aluminum matrix
