Satheesha T.Y.,NCET |
Satyanarayana D.,RGMCET |
Giriprasad M.N.,JNTUCE |
Nagesh K.N.,Middle East College
2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016 | Year: 2016
Melanoma is one of the deadliest cancer to be treated as well to detect in initial phase. Here we take the skin lesion by ROI and then we take out features of it then it needs to be segmented whether the particular image is cancerous or not. If it is cancerous then classify the extracted features and discuss about type of stages. A novel 3D reconstruction algorithm from 2D dermoscopic images is proposed. The detection of 3D image shape and RGB are to be carried out. In this paper we have proposed this work for 3D depth parameter which will enhance the classification rate. © 2016 IEEE.
Nagesh K.N.,Middle East College |
Satyanarayana D.,RGMCET |
Poojary N.,Middle East College |
Ramiah C.,Middle East College |
International Conference on Advanced Communication Technology, ICACT | Year: 2013
With the growing importance of wireless ad-hoc networks (particularly, in applications such as wireless local area networks, and ad-hoc sensor networks), it is important to develop an understanding of the isolated node in ad-hoc network with border effect. However it is a challenging task owing to the fact that such analysis must take into account the interactions between wireless physical layer, radio propagation and multiple accesses. Connectivity is one of the important features of wireless sensor network. The nodes are said to be connected in a network if their deterministic distance is less than transmission radius. In this paper, major issues in the probability analysis of isolated node in wireless ad-hoc sensor networks with border effect are presented. Additionally, the associated topics like fading and capacity scaling in different channels are surveyed. The results are obtained using MATLAB communication tool for different values of node density, number of nodes for different channels and comparison of these channels are discussed. © 2013 GIRI.
Mallikarjuna K.,RGMCET |
Satya Prasad K.,JNTUK |
International Journal of Applied Engineering Research | Year: 2015
For the purpose of image coding and compression, many algorithms are available in the existing literature. As an alternative to these traditional approaches, in this paper, we have used Discrete Rajan Transform for sparsification and image compression. On simulation, it was observed that Discrete Rajan Transform yielded higher quality image than the other candidate transforms used, namely Discrete Cosine Transform and Discrete Wavelet Transform. While the Discrete Cosine Transform gives better compression ratio, the image quality degrades because of the artifacts that result from the transform. Discrete Rajan Transform is effective in introducing sparsity in images and thereby improving compressibility, the compromise being a loss of data. The Peak Signal to Noise Ratio is better in comparison with the other candidate transforms used in this research. © Research India Publications.
Rao S.N.,RGMCET |
Kumar D.V.A.,SDIT |
Proceedings of 2013 International Conference on Power, Energy and Control, ICPEC 2013 | Year: 2013
This paper presents a new class of three phase seven level inverter based on a multilevel DC link (MLDCL) and a bridge inverter to reduce the number of switches. There are 3 types of multilevel inverters named as diode clamped multilevel inverter, flying capacitor multilevel inverter and cascaded multilevel inverter. Compared to diode clamped & flying capacitor type multilevel inverters cascaded H-bridge multilevel inverter requires least no. of components to achieve same no of voltage levels and optimized circuit layout is possible because each level have same structure and there is no extra clamping diodes or capacitors. However as the number of voltage levels m grows the number of active switches increases according to 2×(m-1) for the cascaded H-bridge multilevel inverters. Compared with the existing type of cascaded H-bridge multilevel inverter, the proposed MLDCL inverters can significantly reduce the switch count as well as the number of gate drivers as the number of voltage levels increases. For a given number of voltage levels, the required number of active switches is 2 (m-1) for the existing multilevel inverters, but it is m+3 for the MLDCL inverters. The output of proposed MLDCL is synthesized as the staircase wave, whose characteristics are nearer to a desired sinusoidal output. The proposed MLDCL inverter topologies can have enhanced performance by implementing the pulse width modulation (PWM) techniques. This paper also presents the most relevant control and modulation methods by a new reference/carrier based PWM scheme for MLDCL inverter and comparing the performance of the proposed scheme with that of the existing cascaded H-bridge multilevel inverter. Finally, the simulation results are included to verify the effectiveness of the both topologies in multilevel inverter configuration and validate the proposed theory. A hardware set up was developed for a singlephase 7-level D.C. Link inverter topology using constant pulses. © 2013 IEEE.
Narasimhulu V.,JNTUK |
Ashok Kumar D.V.,RGMCET |
Sai Babu C.,Andhra University
International Journal of Applied Engineering Research | Year: 2016
This paper presents an implementation of a three phase Voltage Source Converter (VSC) as shunt active power filter for harmonic reduction under nonlinear loads. Traditionally, the Synchronous Condenser, Thyristor Controlled Reactor (TCR) and Thyristor Switched Capacitor (TSC) are implemented for harmonic reduction under nonlinear loads. The passive filters are required to achieve the desired harmonic reduction in traditional methods. The addition of filters suffers from the resonance. The proposed methodology avoids the requirement of additional filters to achieve the better total harmonic reduction for various types of loads. Sinusoidal Pulse Width Modulation (SPWM) is used to control Voltage Source Converter. The results are compared with traditional methods. The proposed work is validated through simulation results. © Research India Publications.
Surya Kumari J.,RGMCET |
International Journal of Power Electronics and Drive Systems | Year: 2013
The output power of Photovoltaic (PV) arrays is always changing with weather conditions, i.e., solar irradiation and atmospheric temperature. Therefore, a Maximum Power Point Tracking (MPPT) control to extract maximum power from the PV arrays at real time becomes indispensable in PV generation system. In recent years, a large number of techniques have been proposed for tracking the maximum power point (MPP). MPPT is used in photovoltaic (PV) systems to maximize the photovoltaic array output power, irrespective of the temperature and radiation conditions and of the load electrical characteristics the PV array output power is used to directly control the dc/dc converter, thus reducing the complexity of the system. The resulting system has high-efficiency. This paper presents in details comparison of most popular MPPT algorithms techniques which are Perturb & Observe algorithm (P&O) and Improved Perturb & Observe algorithm (IP&O). In this paper, an improved perturbation and observation method (IP&O) based on adaptive algorithm is proposed, which is automatically adjusts the reference step size and hysteresis bandwidth for power cumparison. The results show that the IP&O increases the total PV output power at an unsettled weather condition compare to traditional perturbation and observation method (P&O). © 2013 Institute of Advanced Engineering and Science. All rights reserved.
Sekhar V.C.,RGMCET |
Pandurangadu V.,Andhra University |
Subba Rao T.,Andhra University
Applied Mechanics and Materials | Year: 2014
It is necessary to explore possible composites with natural fiber. In the present work composites were prepared with epoxy (Araldite LY-556) resin and 'emu' bird feathers as fiber. The composites were prepared by varying the weight percentage (P) of 'emu' fiber ranging from 1 to 5 and length (L) of feather fibers from 1 to 5 cm. The various mechanical properties like tensile strength, flexural strength; flexural modulus and impact strength were determined. An attempt is made to model the mechanical properties through response surface methodology (RSM). Analysis of Variance (ANOVA) is used to check the validity of the model. The results reveal that the developed models are suitable for prediction of mechanical properties of Epoxy 'Emu' Feather Fiber Composites. © (2014) Trans Tech Publications, Switzerland.
Sankar A.S.,P.A. College |
Prasad T.J.,RGMCET |
Giriprasad M.N.,Jawaharlal Nehru Technological University Anantapur
International Conference and Workshop on Emerging Trends in Technology 2011, ICWET 2011 - Conference Proceedings | Year: 2011
Digital Rights Management is a method of controlling access to copyrighted material. Steganography- the art of hiding secrete messages inside other messages, innocuous wrapper, as until recently had been the poor cousin of cryptography, to communicate privately in an open channel. This area of study got widespread popularity after its alleged use by many extremist groups while hatching and executing their plans remotely. Because of this, in the recent past, many law enforcement and government agencies have also shown keen interest in it. There are many other reasons like Digital Rights Management applications (Watermarking and Finger Printing), which acted as catalyst too. This paper proposes a new steganographic encoding scheme which separates the colour channels of the windows bitmap images and then hides messages Randomly using polynomials in the LSB of any colour component of a chosen pixel. The authors, implemented image steganography based on Least Significant Bit Insertion method using Polynomial. The advantages and disadvantages of this method have also been discussed. Copyright © 2011 ACM.
Satheesha T.Y.,NCET |
Satyanarayana D.,RGMCET |
Proceedings of International Conference on Circuits, Communication, Control and Computing, I4C 2014 | Year: 2014
This paper presents a comparative study of Support Vector Machines (SVMs) which is classified based on melanoma imaging technique. After the preprocessing and segmentation of a set of distinct 35 images, the extracted features were Asymmetry, Border, Color, Diameter,(ABCD) Entropy and Correlations respectively. Further the resultant data was fed into five different SVM classifiers namely linear, poly, quadratic, radial basic function and Multilayer Preceptor, which classifies different aspects of Insitu melanoma. Among these 35 images the most consistent result which was obtained stood unmatched at an accuracy of 77.77%. Finally each stage of pigmented skin lesion is represented by a histogram plot which further enriches the data quite significantly. © 2014 IEEE.
Surya Kumari J.,RGMCET |
Sai Babu Ch.,Jawaharlal Nehru Technological University Anantapur
Journal of Electrical Engineering | Year: 2014
As the use of energy is increasing, the requirements for the quality of the supplied electrical energy are more tighten. The conventional sources of energy are rapidly depleting and the cost of energy is rising, photovoltaic energy becomes a promising alternative source. Photovoltaic (PV) generation is becoming increasingly important as a renewable source since it exhibits a great many merits such as cleanness, little maintenance and no noise. However, the output power of PV arrays is always changing with weather conditions, i.e., solar irradiation and atmospheric temperature. Therefore, a Maximum Power Point Tracking (MPPT) control to extract maximum power from the PV arrays at real time becomes necessary in PV generation system. In recent years, a large number of techniques have been proposed for tracking the maximum power point (MPP). The present Perturb &Observe (P&O) MPPT algorithm is used in photovoltaic (PV) systems to maximize the photovoltaic array output power, irrespective of the temperature and irradiation conditions. However, the resulting system has poor-efficiency with fixed perturb. In this paper proposes, Improved Perturb &Observe algorithm (IP&O), system for PV arrays is proposed and analyzed. Improved Perturb &Observe algorithm (IP&O) is a very promising technique that allows the increase of efficiency with self-tuning perturb. This paper present in details comparison of most popular MPPT algorithms techniques which are Perturb &Observe algorithm (P&O) and Improved Perturb &Observe algorithm (IP&O).