Real Time Surge Voltage Control using Smart IoT
Efficient Transmission of FECG Signal using MIMO – OFDM
Deep Convolutional Auto-Encoders for Emotion Recognition from Facial Expressions
A Survey on Network Admission Control Solution in 6LoWPAN using Cryptographic Mechanism
A Comprehensive Review of Visible Light Communication (VLC)
Cognitive Radio Simulator for Mobile Networks: Design and Implementation
Reduced End-To-End Delay for Manets using SHSP-EA3ACK Algorithm
Light Fidelity Design for Audio Transmission Using Light Dependent Resistor
Dynamic Digital Parking System
Performance Analysis of Multi User Transmit Antenna Selection Systems over TWDP Fading Channels
Comparison of Wavelet Transforms For Denoising And Analysis Of PCG Signal
Video Shot Boundary Detection – Comparison of Color Histogram and Gist Method
Curvelets with New Quantizer for Image Compression
Comparison of Hybrid Diversity Systems Over Rayleigh Fading Channel
Design of Close Loop Dual-Band BPF Using CascadedOpen Loop Triangular Ring Resonator Loaded With Open Stubs
A new algorithm for Doppler profile detection of Radar echoes using Matched Filter is developed in this paper. The algorithm is applied to the time series radar data obtained from the mesosphere- stratosphere- troposphere (MST) region near Gadanki, Tirupati Matched filter is often referred to as optimum filter. The most unique characteristic of the matched filter is that it produces the maximum achievable instantaneous SNR at its output when a signal plus additive white noise is present at the input. This presents a new technique adopted when information regarding all the range bins is available and the processing load can be handled. The results are compared with the traditional FFT technique and are presented for the performance evaluation. The merits and limitations of this method of detecting dopplers in comparison to FFT are discussed.
Various medical imaging available are MRI, CT, US and DICOM. Automated Computer Aided Diagnosing (CAD) system detects lung cancer with improved diagnostic radiology. Several approaches to lung CAD combine geometric and intensity models to enhance local anatomical structure. Two difficulties those are primarily associated with the detection of nodules include the detection of nodules that are adjacent to vessels or the chest wall when they have very similar intensity; and the detection of nodules that are non-spherical in shape. In such cases, intensity thresholding or model based methods might fail to identify those nodules. In this paper Region of interest segmentation of DICOM lung image is performed in the noisy environment such as Poisson and speckle using morphology and watershed algorithm. The ROI lung area blood vessels and nodules from the major lung portion are extracted achieved using different edge detection operators such as Sobel, Prewitt and LoG in presence of noise. The results are helpful to study and analyse the influence of noises on the DICOM images in extracting region of interest.
This paper emphasizes on designing of a novice quantizer that is more suitable for compressing images through new transform known as curvelet transform. The new transform is believed to capture image information more efficiently than the wavelet transform by providing basis elements in addition to possessing the qualities of wavelet. It was designed to represent edges and other singularities along curves much more efficiently than traditional transforms, i.e. using many fewer coefficients for a given accuracy of reconstruction. This compression algorithm is tested on various images like plain, textured and building images. The results are compared with the existing techniques like curvelet with existing quatizer, wavelet with existing quantizer and wavelet with proposed quantzer. The proposed algorithm “curvelets with proposed quantizer” outperforms the existing techniques. The performance is evaluated through visual clarity, Peak Signal to Noise Ratio (PSNR) and compression metrics such as Compression ratio and Bit-rate.
Continuation of an active call is one of the most important quality measures in cellular communication systems. Handoff process in the cellular system enables to provide such facility by transferring an active call from one cell to another cell.Signals transmitted over a multipath propagation channel can exhibits inter path interference and fading. To overcome the multipath effect, Rake receiver is used in CDMA technology. An important characteristic of a multipath channel is the time delay spread it causes to the received signal. This delay spread equals the time delay between the arrival of the first received signal component (LOS or multipath) and the last received signal component associated with a single transmitted pulse. Another characteristic of the multipath channel is its time-varying nature.Rake receiver is realized between the main path component and the local recovery carrier. In this paper the downlink performance parameters are estimated for a CDMA mobile system at the vertex of multiple adjacent cells. At the base station the received signal is coherently dispread and demodulated using a rake receiver. The effects of power control, error correction and rake receiver were also investigated and simulated based on the assumption that the received signals undergo Rayleigh fading.
Optical waveguides are the building blocks of photonics circuits. They are used as, couplers, switches, splitters, multiplexer and de-multiplexer for optical signals. During the last two decades extensive study on analytical/numerical method in the field of optical waveguide has been done by different researchers. In this paper the matrix method has been applied to analyze taper waveguide (or bend waveguide) while considering the normal incidence of light and assumed to be no reflection from the first medium, where the light is being launched. The waveguide is assumed to be taper (bend). This type of waveguide structure is used in WDM optical communication system as a power splitter device.
Medical images are diagnosed and demonstrated with their regional structures. Edge detection is a fundamental element in the field of image processing and computer vision for the extraction of features. Edge detection identifies and captures sharp intensity changes in an image. Medical image edge detection focus on object recognition of human organs. To detect the severity of disease several medical approaches like CT, MRI, PET, US and DICOM can be used. In this paper performance of CT and DICOM images using morphology and edge detection algorithms are evaluated in noisy environment. A comparision of different edge detecting algorithms by using several noises is performed and evaluated based on correlation coefficient and PSNR. The outcomes evaluate the resistivity of operators in presence of noise.
Adiabatic Logic styles in low power VLSI design have been examined for many years to achieve predictable low power design success. In this paper, we present a comprehensive literature review pertaining to the state-of-the-art issues in adiabatic logic designs and also focus on primary developments in this field that have taken place in the low power design. Various research papers and application notes have been referred to, for clear understanding of adiabatic logic designs on low power solutions. Major focus of this paper is to identify the gaps of the adiabatic logic designs and to narrow down the problems and requirements for its practical usage in semiconductor industries. Enough designs and methods have been proposed over last few decades, but the implementation of this logic, triggers the designer in various open points, which restricts further stems. This paper highlights the major open points and gives the solution for further design requirement to implement the adiabatic logic in semiconductor industries.
