KUET Institutional Repository (Khulna University of Engineering & Technology)
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A Multi-Objective Genetic Algorithm with Fuzzy Relational Clustering for Automatic Data Clustering
No full textThis thesis is submitted to the Department of Computer Science and Engineering , Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, December 2016.Cataloged from PDF Version of Thesis.Includes bibliographical references (pages 60-65).A Fuzzy relational clustering algorithm (FRC) based on multi-objective nondominated
Sorting genetic algorithm (NSGA-II) called FRC-NSGA-II is proposed for automatic data
clustering. A given data set is spontaneously promoted into an optimal number of groups in a precise fuzzy partition through the fuzzy relational clustering algorithm, FRC. FRC operates on a similarity square matrix which is generated by comparing the pair wise similarities between data points. Multi objective
NSGA-II is employed to search for appropriate number of partitions for different
cluster shapes. Moreover, two well-known cluster validity indices, compactness and separation, are optimized concurrently through multi-objective NSGA-II where compactness indicates variation between data within a cluster and separation means quantifying the separation between different clusters. Real
encoding schema is used for variable length NSGA-II chromosomes representing
the variable number of clusters. The simulation result on benchmark data sets
exhibits that the proposed method gives promising results in the complex,
overlapped, high-dimensional non-gene and gene expression data sets and it has
better capability of determining well-separated, hyper spherical and overlapping
clusters compared with other existing clustering algorithms.Animesh KunduMaster of Science in Computer Science and Engineerin
Study on Bio-Fertilizer Extraction and Management of Municipal Solid Waste of Khulna City
No full textThis thesis is submitted to the Department of Mechanical Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Mechanical Engineering, December, 2016.Cataloged from PDF Version of Thesis.Includes bibliographical references (pages 70-72).The increasing population of Bangladesh leads to the growth of urban areas and slums which in turn, generating a huge volume of wastes. Thus disposal of waste has become a serious issue. In this project, generation and characteristics of municipal solid waste in Khulna city has been analyzed along with the associated environmental impacts and existing municipal waste management practices. Main focus is given on bio-fertilizer extraction from municipal solid waste comparing with a few solid waste management projects. The main objective of the study is to achieve the knowledge of solid waste management procedure in Khulna city and find out the best possible way of bio-fertilizer extraction from the study of those projects. Major portion of municipal solid waste of Khulna City is organic which are rapidly biodegradable. Because of unsatisfactory solid waste management system in Khulna city, some common problems usually occurs such as diseases, fire hazards, odor for nuisance
atmosphere, water pollution and consequently economic losses. At the same time, those
wastes have a potential value of producing organic bio-fertilizer. This potential factor makes
interest to study the composting procedure from municipal solid waste and find out efficient
way to do it. The total daily household wastes generated in Khulna City areas is about 500
tons and from this total waste daily 200 tons for compost production is possible. But only 1.5 tons of compost is producing per day in Rajbandh by RUSTIC and generating 10,000 taka
profits. Again the waste produces in Khulna University of Engineering & Technology at the
rate of 3898 kg/month of which 65.09% are compostable. Current compost generation in
KUET is only 50 kg/month because of small area and limited waste production. The finished
product in Rajbandh and KUET is also different because of waste composition, separation
process and production process. However waste in KUET is well managed and the whole
process is closely monitored but in the other hand solid waste management process in Khulna City Corporation is very poor. In this context, to meet up the growing demand of biofertilizer, it is the best way to use renewable resources like municipal solid waste. It can help to create a modern waste well managed beautiful city and will make an example. With better management plan and realistic approach, compost generation from municipal solid waste could be economically profitable and save the environment.Debasish AdhikaryMaster of Science in Mechanical Engineerin
A Study on Some Discrete Transforms of Engineering Sciences
No full textThis thesis is submitted to the Department of Mathematics, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Mathematics, May 2016.Cataloged from PDF Version of Thesis.Includes bibliographical references (page 64).Transform methods has their great importance in the field of applied sciences,
especially in engineering sciences. To most of us Laplace transform is well known and
we are acquainted to solve differential equations with this important tool. But it deals
with the continuous variable/analog signals. In this computer world we need the tools
to deal with discrete variable/digital signals. Unfortunately we have a little knowledge
about them i.e. we are not familiar with discrete transforms. The main objective of this
thesis was to be familiarized with some discrete transforms. For the purpose Ztransform,
which is the most conversant one of the family of discrete transforms is
taken. Also discrete counterpart of the Fourier transform, DFT and its calculation
technique Fast Fourier Transform (FFT) is considered. Some detail of those transforms
has been addressed. Fortunately we have devised a lemma for Z-transform, along with
its proof has been presented. Finally a brief introduction to the newest transform, the
Wavelet transform is introduced.Barna Shi
Design of a Power System Stabilizer Using Adaptive Neuro-Fuzzy Logic
No full textThis thesis is submitted to the Department of Electrical and Electronic Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Electrical and Electronic Engineering, May 2016.Cataloged from PDF Version of Thesis.Includes bibliographical references (pages 63-67).Power systems are large, complex and nonlinear systems, and often exhibit low-frequency
power oscillations due to insufficient damping. PSSs are widely used
to suppress the electromechanical oscillations of generators and thus, enhance
the overall stability of power systems. The conventional PSS which uses lead-lag
compensation and gain settings for particular operating conditions provides poor
performance under different loading conditions. To mitigate the shortcomings
of conventional PSS, Artificial Intelligence (AT) based techniques such as Fuzzy
Logic Controller (FLC) and Adaptive Neuro-Fuzzy Inference System (ANFIS)
have been introduced. FLC based PSS does not require mathematical model,
possess lesser computational time, and ensures good performance under all conditions.
However, speed and robustness are the most significant properties in
comparison to the other classical schemes, there are no practical systematic procedures
for the FLPSS design, so the rules and the membership functions of the controller
are tuned subjectively, making the design laborious and a time-consuming
task. On the other hand, an ANFIS based techniques is a promising method,
which adjusts membership functions and rules adaptively to improve a systems
performance. In literature, ANFIS-PSS is implemented for multi-machine power
system having constant impedance load. The main contribution of this thesis is
to introduce a PSS for a multi-machine interconnected power system comprising a
dynamic load grounded on adaptive-neuro fuzzy logic technique. Load dynamics
is included because it has significant impact on power system dynamic analysis.
Transient stability analysis is more concerned with dynamic behaviors of loads.
The robustness of ANFIS-PSS is being tested by applying single line to ground
faults and symmetrical three phase faults. Another contribution of this thesis
is to analyze the performance of using various input signals to PSS. It is found
that the performance of an ANFIS-PSS depends on the input signal to PSS and
for speed deviation and accelerating power as an input signal, the performance
is quite far better compared to the selection of other inputs utilized in this work.Moudud AhmedMaster of Science in Electrical and Electronic Engineerin
Damping Performance Enhancement of a Power System by STATCOM and its Frequency Stability Consideration
No full textThis thesis is submitted to the Department of Electrical and Electronic Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Electrical and Electronic Engineering, December 2016.Cataloged from PDF Version of Thesis.Includes bibliographical references (pages 61-65).This thesis investigates the damping performance of power systems through eigenvalue
analysis and the impact of cyber-attack on power systems in frequency disturbing aspects
during sudden changes of load. It also proposes a solution method to make the system stable.
The analysis is firstly carried out on the Western System Coordinating Council (WSCC) 9-bus
test system to find the impact of location of Flexible AC Transmission System (FACTS)
devices on the static voltage stability. The maximum loadability of the load buses is
determined using continuation power flow method with static var compensator (SVC) and
static synchronous compensator (STATCOM). The result shows that the reactive power
support from the FACTS devices depends on the proper placement of the FACTS devices in
the network.
The analysis is then conducted on an IEEE 14-bus test system. The maximum loading limits of
the load buses are determined using continuation power flow method and a static synchronous
compensator (STATCOM) is installed as an objective to increase the systems loadability.
Then, the dominant modes and associated states that affect the damping of the system are
identified and an oscillation damping controller is designed. The result shows that the
proposed damping controller equipped with STATCOM can improve the damping
performance of the system significantly.
In order to analyze the impact of cyber attack on power systems, the stable limit of speed
regulation for load frequency control (LFC) and integral controller gain for automatic
generation control (AGC) is derived from their characteristic equations. Depending upon the
nature of cyber-attack (positive biased or negative biased attack), simulations are performed to
show the frequency deviations and oscillations of the power system. Finally, a feedback LFC
block with a three input switch is proposed to remove these oscillations.Mehedi HassanMaster of Science in Electrical and Electronic Engineerin