4,821 research outputs found
Performance Analysis of Narrow Band Spectrum Sensing Over Different Fading Channels in Cognitive Radio
No full textThis thesis paper is submitted to Department of Electronics and Communications Engineering, Khulna University of Engineering & Technology, Khulna, Bangladesh, in partial fulfillment of the requirements for the degree of “Master of Science”
in Electronics and Communication Engineering, August 2016.Cataloged from PDF Version of Thesis.Includes bibliographical references (pages 66-71).Due to rapid advancements in wireless communication the scarcity of radio spectrums are decreasing day by day. To ensure the future efficient wireless communication services, the radio spectrum management is a very important factor. To cope up with this demand, cognitive radio (CR) is a solution of huge prospect for spectrum sensing in order to detect and utilize empty spaces in the spectrum without creating interference to the primary users (PUs). The CR is referred to an intelligent and reconfigurable radio which enables efficient usages of unused spectrum while avoiding any kind of interference. Spectrum sensing is the key element in CR network for identifying the opportunity and to avoid the interference of PUs. The sensing methodology of spectrum depends upon its band of interest, surrounding environments, knowledge of pattern of PUs, required accuracy, required time of detection, power consumption and complexity & cost of the device.
This work focus on the formulation of mathematical system model for classical narrow band transmitter based detection which includes energy detector (ED) based sensing techniques, cyclostationary features detection and matched filtering and the simulation and performance analysis of their characteristics curve by MATLAB software. Finally, the work has recommended the best techniques for optimum performance of narrow band spectrum sensing over different fading environments.Md. Rasheduzzaman RashedMaster of Science in Electronics and Communication Engineerin
Theoretical Design of Surface Plasmon Resonance based Microwave Sensor using Optical Fiber
No full textThis thesis is submitted to the Department of Electronics and Communication Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Electronics and Communication Engineering, September 2014.Cataloged from PDF Version of Thesis.Includes bibliographical references (pages 56-59).Microwaves (MW) sensing is done through a complex and large size sensor which comprises a lot of electronic components. In this research, microwave (MW) sensing, based on surface plasmon resonance using optical fiber is analyzed and a new scheme to sense MW is proposed. The motivation is to introduce a new scheme to sense MW, minimize the conventional MW detector size and reduce the number of electronic components in the sensor by using a new scheme. Here MW is detected by measuring the surface plasmon wavelength shift which is the result of the related Bragg wavelength shift (0.009 nm/ 0C ) in the optical fiber due to temperature change. The results are compared with existing research findings to establish the sensing principle of MW based on surface plasmon resonance, generated in optical fiber’s metal-dielectric interface. This proposed sensor can be integrated with other micro-electronic devices very easily.Imran KhanMaster of Science in Electronics and Communication Engineerin
Tumor and Its Stages Detection in Brain MRI Using Template Based K-means and Fuzzy C-means Clustering Algorithm
No full textThis thesis is submitted to the Department of Electronics and Communication Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Electronics and Communication Engineering, January 2016.Cataloged from PDF Version of Thesis.Includes bibliographical references (pages 81-89).Segmentation is obligatory process in medical application for MRI image to detect brain tumour. This research work represents a robust segmentation method which is the integration of Template based K-means and modified Fuzzy C-means (TKFCM) clustering computed algorithm that, reduces the lack of operator performance, and error in equipment. In this method, the template is selected based on convolution between grey level intensity in small portion of brain image, and brain tumour image. K-means algorithm is to emphasized initial segmentation through the proper selection of template. Updated membership of FCM is obtained through distances from cluster centroid to cluster data points, until it reaches to its best. This Euclidian distance depends upon the different features i.e. intensity, entropy, contrast, dissimilarity and homogeneity of coarse image, which was depended only on similarity in conventional FCM. Then, on the basis of updated membership and automatic cluster selection, a sharp segmented image is obtained with red marked tumour from modified FCM technique. The small deviation of grey level intensity of normal and abnormal tissue is detected through TKFCM. For the tumor and its stages classification the linearization and region properties algorithm is needed to apply on detected tumor obtained from TKFCM, which provides the characteristics parameters like area, eccentricity, bounding box, perimeters and orientation. By these parameters the classified tumor and its stages are extracted. Besides the performances of TKFCM method is analyzed through neural network not only mathematically but also graphically. The resultant values give a better regression and least error compare to the other existing methods. This method will also help in detecting tumor in multiple intensity based brain MRI image.Rasel AhmmedMaster of Science in Electronics and Communication Engineerin
Dynamic Hybrid-Slot-Size Bandwidth Allocation Algorithm for Improving Quality of Services of Real Time Traffic in Ethernet Passive Optical Network (EPON)
No full textThis thesis is submitted to the Department of Electronics and Communication Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Electronics and Communication Engineering, January, 2017.Cataloged from PDF Version of Thesis.Includes bibliographical references.In the modern data networks, users are communicating via real time traffic, i.e., high
priority (HP) traffic, very often. The demand is increasing for interruption free, high speed,
high efficiency, and best quality of services to perform successful communications. This thesis
emphasizes on the HP traffic like video conferencing, video chat, telemedicine,
teleconferencing, and interactive gaming for the real time communication. In contrast, the low
priority data is considered as the best effort (BE) traffic because the BE traffic do not require
delay sensitive applications.
To achieve better quality data communication for the HP traffic, Ethernet passive optical
network (EPON) is used to fulfill the bandwidth demand of such real time traffic. The
effectiveness of EPON mostly depends on dynamic bandwidth allocation (DBA) algorithm. In
this thesis, we propose a new DBA algorithm called dynamic hybrid-slot-size bandwidth
allocation (DHSSBA) algorithm. To ensure better performance, the proposed DHSSBA is also
incorporated with the new multi-point control protocol (MPCP). As the DHSSBA scheme uses
two Gate messages, one Gate message for the HP traffic and other one for the BE traffic, for
each optical network unit (ONU) in a time cycle, the proposed MPCP protocol eliminates the
synchronization problem between the two Gate messages. The performances of the proposed
scheme are also compared with the existing hybrid-slot-size/rate (HSSR) scheme and delay
variation guaranteed polling (DVGP) scheme. The performance of the proposed scheme has
been analyzed by using numerical simulation in terms of the end to end packet delay, jitter
variation and throughput for both the HP and BE traffic. From the comparison of the
simulation results it is clear that the proposed scheme provides lesser end to end packet delay
for the HP traffic and provides better performances than those of the HSSR and DVGP
schemes.Md. Selim MorshedMaster of Science in Electronics and Communication Engineerin
Design and Implementation of Sampling Rate Conversion System for Electroencephalogram (EEG) on FPGA Device
No full textThis thesis is submitted to the Department of Electronics and Communication Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Engineering in Electronics and Communication Engineering, November 2018.Cataloged from PDF Version of Thesis.Includes bibliographical references in each chapter.The wide scale use of digital communication and digital media has made the necessity of methods
to process digital data more important now-a-days. The signal-rate system in digital signal
processing has evolved the key of fastest speed in digital signal processor. Field Programmable
Gate Array (FPGA) offers good solution for addressing the needs of high-performance DSP
systems. This concept leads to a chip with attractive features like, low requirements for the
coefficient word lengths, significant saving in computation and storage requirements results in a
significant reduction in its dynamic power consumption. There are many algorithms have been
proposed for processing of biomedical signal. Main objectives of these algorithm are to minimize
noise and artifacts existing with these signals, so that it will be easy to analyze and diagnosis
human diseases. The proposed system has many advantages on signal processing such that it has
a simple structure, stationary response and adaptively with embedded microprocessors. The system
is proposed due to facilitate structural characteristic and design properties on filtering EEG signal.
The focus of this project is on the basic DSP functions, namely filtering signals to remove
unwanted frequency using Sampling Rate Conversion (SRC) in digital signal processing. The
system has a computer where the design can be programmed and simulated on Xilinx
@
Integrated
Software Environment (ISE) Suite 14.7 or Quartus II software with interface ALTRA Cyclone DE
II board of FPGA device.Mahamudul HassanMaster of Science in Engineering in Electronics and Communication Engineerin
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