Anchorperson presentational style of private TV channels and students perception university of Sargodha
This study shows the ‘Anchorperson Presentational style of private TV channels and students perception university of Sargodha”. In Pakistan electronic media is considered more powerful media for all types of communications. Especially private electronic media is playing very important role in both positive and negative aspects. The contents of private media are considered as perception and opinion making tools. Talk shows and their anchorpersons are considered influenced in opinion and perception making of respondents. For this study 50 respondents have been selected from BS and 50 respondents from Master Class. In this study survey research technique was been used to exposure the role of anchorpersons and their presentational style in talk shows. The empirical research shows the anchorpersons has political affiliation as well as exaggerates the issues. Findings show that Geo news anchorperson Hamid Mir exaggerate the issues (59%) as compare to JavedChaudry (55%) and Kamran Shahid (42%). It is also find that that Hamid Mir is considered most political affiliated anchorpersons which is supported by findings taht Hamid Mir anchorperson of private TV new channels has political affiliation frequently (71%) which is much more JavedChadury (55%) and Kamran Shahid (50%).It is also find that viewers are more satisfied with anchorpersons of Express News as compare to other news channels. Over all findings show that respondents are satisfied (59%) from anchor persons of Express News which is much more Geo News (51%) and Duyna (40%).
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Design of Semi-Adaptive 190-200 KHz Digital Band Pass Filters for SAR Applications
Technologies have advanced rapidly in the field of digital signal processing due to advances made in high speed, low cost digital integrated chips. These technologies have further stimulated ever increasing use of signal representation in digital form for purposes of transmission, measurement, control and storage. Design of digital filters especially adaptive or semi adaptive is the necessity of the hour for SAR applications. The aim of this research work is to design and performance evaluation of 380-400 KHz Bartlett, Blackman and Chebyshev digital semi adaptive filters. For this work XILINX and MATLAB softwares were used for the design. As pert of practical research work these designs were translated using FPGA hardware SPARTAN-3E kit. These were optimized, analyzed, compared and evaluated keeping the sampling frequency at 5 MHz for 64 order. Both these filters designed using software and hardware were tested by passing a sinusoidal test signal of 381 KHz along with noise and the filtered output signals are presented.
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Segmentation of Natural Calamity Images
The digital image processing has been proved to be an effective tool for analysis in various fields and applications in engineering. Among the segmentation methods, image thresholding technique is one of the most well known methods due to its simplicity, robustness, and high precision. In this paper an attempt is made for an efficient segmentation of Natural calamity images by Healthy Bacteria Foraging Optimization Algorithm.
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Development of image processing software for online measurements at streak camera system in Indus-1 synchrotron radiation source
Indus-1 is a 450 MeV, synchrotron radiation source in India. Visible light from wide synchrotron radiation spectrum is focused by visible diagnostic beamline for the study of electron beam parameters. The longitudinal profile of electrons is captured (images) and measured by the indigenously developed streak camera system. Image processing software is developed for measurement of bunch length and bunch centroid position of electron beam (visible part). In this paper the algorithm for development of image processing software is discussed and results obtained after measurement under different light condition and with changing background during the natural decay of beam current are discussed.
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Fuzzy based random valued Impulse noise suppression using optimal direction method
This paper proposed new techniques based on fuzzy logic in optimal direction for suppression of random valued impulse noise in digital images. The deviation of the test pixel from its neighboring pixels present in the optimal direction shows its corruption level. According to how much a pixel is impulse-like, a fuzzy index is assigned to each and every pixel in the image. After the detection of impulsivity of each pixel, a non-local mean filter is employed for noise suppression. Extensive simulations are performed to prove that the proposed techniques give better visual quality and quantitative measurement than recent impulse noise suppression techniques.
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Realization of S-G Shapers for Detector Readout Front Ends
This paper presents realization of semi Gaussian (S-G) shaper circuits for detector readout front ends. The circuits are based on current difference transconductance amplifier (CDTA) and differential difference current conveyor transconductance amplifier (DDCCTA) and can operate in voltage and current mode. The proposed circuits use grounded capacitors and thus make these suitable from integration viewpoint. The theoretical propositions are verified through extensive SPICE simulations using 0.25?m TSMC CMOS technology model parameters. The performance of proposed topologies is compared in terms of total harmonic distortion, power dissipation, dynamic range, signal to noise ratio (SNR) and output noise.
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Fundamentals of Digital Image Processing and Classification
Remotely-sensed data obtained from satellites or aircraft are usually geometrically distorted due to the acquisition system and the movements of the platform. Preprocessing of satellite images prior to image classification and change detection is essential. Image Processing is a technique which is used to enhance raw images received from cameras and sensors placed on satellites, space probes and aircrafts or pictures taken in normal day-to-day life for various applications. Digital image processing is the technique of processing images in the form of discrete digital brightness quantities by means of using digital circuits or digital computers.
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Online Analytical Examination System
The objective of this web application is to develop a system to conduct online tests in various domains and functional areas. The purpose is to enable a fast evaluation of applicant’s skills and abilities. Online Analytical Examination is the application useful to conduct online examination for an organization, Academic institutions and training centers. It is an excellent test management, which offers a complete solution for Computer Based Test (CBT). It keeps all the records of conducted exams, score reports and other info.The aim of “Online Analytical Examination” system is to take online test in an efficient manner and no time wasting for checking the paper. The main objective of online exam is to efficiently evaluate the candidate thoroughly through a fully automated system that not only saves lot of time but also gives fast results for students the paper are given to students as their convenience and time and there is no need of using extra thing like paper, pen etc.
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Detection of Brain Tumor of Fetus Edge –Detection on MR Images and Implementation on FPGA
This paper presents a proposal of detection of brain tumor of fetus through its MRI image during 25-27 week of pregnancy. This detection is based on edge detection technique and its implementation on FPGA. For FPGA implementation use MATLAB/SIMULINK graphical user interface with Xilinx System Generator which is the integrated design environment for FPGA within ISE11.3 design suit.
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Image Processing using Image Compression Methods
Image is the combination of pixels. Pixel is the element which is present in the image in the dot form. In today’s era image is treated like as 3D form but at previous time image is in the form of 1D text or 2D text. In this paper we show the image compression on the images. We basically perform the compression on the biomedical images. Biomedical images are very huge in size. We select biomedical images because if we transfer any biomedical image from one place to another then we need compression methods.
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