Informatics Publishing Limited

R. C. Jaiswal ¹, S. V. Mitkari ², S. D. Lokhande ³

Affiliations
1 Pune Institute of Computer Technology, Maharashtra, IN
2 Pune Institute of Computer Technology, Maharashtra, IN
3 Sinhgad College of Engineering, Maharashtra, IN

Abstract

In this paper, the analysis of different performance evaluation parameters of wireless network applications specifically file sharing approaches such as client server approach and peer to peer approach specially Bit-Torrent is carried out. This project gives insights of client server approach along with its disadvantages and need of peer to peer approach. Different performance evaluating parameter such as delay parameter, traffic sent or received etc. for both wired and wireless client server network are plotted in OPNET environment and also studies the effect of traffic on server. Different analytical modeling techniques such as Queueing network model and fluid flow model are studied to analyze the performance of Bit-Torrent network and then the effect of arrival of peers and departure of seeds on parameters like delay, downloading speed, transition rates etc. is evaluated using Matlab.

Keywords

Queueing, Fluid Flow, Peer-To-Peer, Performance.

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Anurag A. Ballewar ¹, S. D. Lokhande ¹

Affiliations
1 Department of Electronics & Telecommunication, Sinhgad College of Engineering, Pune (MH), IN

Abstract

The sound observed by physician from chest cavity consists of mixed lung and heart sound. They observe the changes in sound for detection of abnormality. Now a day's digital stethoscope is used in hospitals for patients monitoring. Its waveform is mixed with ambient noise and overlapped by vibrations from movement of body. The Fast ICA (independent component analysis) is source division procedure known as blind source separation technique. It is iterative and capable of dividing heart and lung sound giving physically important sources whenever physical mixing of two or more independent sources takes place. Noise reduction will be the very important initial stage in this algorithm as raw captured data contains most of the surface contact noise between stethoscope and chest surface. This algorithm will function as sound extractor from mixed heart and lung sound for its advanced examination which can be utilized to perceive diseases.

Keywords

Blind Source Separation, Lung Sound, Heart Sound, Auscultation, Independent Component Analysis.

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Moha Patil ¹, S. D. Lokhande ²

Affiliations
1 Sou. Venutai Chavan Polytechnic, Pune, IN
2 Sinhgad College of Engineering, Pune, IN

Abstract

Inpainting is the art of modifying an image in a form that is not detectable by an ordinary observer. There are numerous and different approaches to tackle the Inpainting problem. This paper demonstrates Criminisi's algorithm for removing large objects from digital images and filling the hole left behind. The Inpainting technique can be classified into two categories: (1) texture oriented and (2) structure oriented. Both the technique have their advantages and disadvantages. The Criminisi's algorithm demonstrated in this paper combines the advantages of both of these approaches. Exemplar based structure synthesis contains the essential process to replicate both texture and structure. A number of examples on real and synthetic images demonstrate the effectiveness of the algorithm.

Keywords

Object Removal, Image Inpainting, Texture Synthesis, Patch Propagation.

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Sneha S. Pathade ¹, S. D. Lokhande ¹, M. R. Bachute ²

Affiliations
1 Sinhgad College of Engineering, Pune, IN
2 G.H.R.I.E.T, Pune, IN

Abstract

In many application of noise cancellation, the changes in signal characteristics could be quite fast. This requires the utilization of adaptive algorithms, which converge rapidly. Least Mean Squares (LMS) and Recursive Least square (RLS) adaptive filters have been used in a wide range of signal processing application because of its simplicity in computation and implementation. Unfortunately, practical implementations of the algorithm are often associated with high computational complexity and/or poor numerical properties. In this describes a new approach for noise cancellation in speech enhancement using the two new adaptive filtering algorithms for attenuating noise in speech signals. Three performance criteria are utilized in this study: minimum step size, the minimum mean squared error (MSE), and the required filter order. The simulation results demonstrate the good performance of the LMS, RLS, and filtered-X LMS algorithm for active noise cancellation. After simulation in MATLAB the filtered-X algorithm is implemented on the TMS320C6713 processor to see the performance by use of speaker.

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A. A. Randive ¹, H. B. Mali ², S. D. Lokhande ³

Affiliations
1 University of Pune, IN
2 Department of Electronics and Telecommunication Engineering, The University of Pune, IN
3 Department of Electronics from University of Kolhapur, IN

Abstract

The automatic recognition of gestures enriches Human – Computer Interaction by offering a natural intuitive method of data input. Compared with the traditional interaction approaches, such as keyboard, mouse, pen etc. Vision based hand interaction is more natural and efficient. As this methodology is aided with cameras and computer vision techniques. And besides normal use for handling objects and manipulating tools, the hand of human being can be used as the mean of communication here. This paper presents a new method or technique for a real time static hand gesture recognition on plain uniform background, for the HCI, based on pattern recognition using K-nearest Neighbor (KNN). Major consideration here is the stable lighting condition. Here work is done to recognize 10 gestures from ASL. Concept of connected components or objects is used here for hand segmentation, canny edge detector is used for pattern creation and classification is done by using K-nearest Neighbor algorithm. This algorithm gives 84% accuracy with recognition time of 0.3s. Accuracy decreases as distance of hand from camera increases above 1.5feets. The gestures recognized here can be used further to develop an application of controlling the devices which will be very much helpful to the physically disabled and older persons who can’t move easily from one place to another.

Keywords

American Sign Language (ASL), Gesture Recognition, Human Computer Interaction (HCI), K-Nearest Neighbor (KNN).

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Ajita A. Patil ¹, S. D. Lokhande ², H. B. Mali ³

Affiliations
1 Department of Electronics and Telecommunications, University of Pune, IN
2 Department of Electronics from University of Kolhapur, IN
3 Department of Electronics and Telecommunication Engineering, The University of Pune, IN

Abstract

In today’s fast lifestyle Safety of a human being is a major issue. The need to develop system model is because of the security issues of human being and improvement in automobile industry. The research report shows that Drowsiness leads to severe loss of health and wealth. So to reduce these all effects few techniques are created. This includes some standard approach and it will help to send warning signal to operator if he/she falls asleep. In this project the aim is to check drowsiness at real time with new hybrid model concept. The warning signals are developed at the end of detection methodology. The detection process includes capturing of video of operator, pattern recognition in Labview. After that analysis of parametric values comparison of total results are made. Finally according to the value of parameters awareness signal is given to the operator.

Keywords

Biological Signal, Drowsiness Level, Hybrid Approach, Sleepiness Scale.

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S. B. Takale ¹, S. D. Lokhande ¹

Affiliations
1 Department of Electronics and Telecommunication, Sinhgad College of Engineering, Pune, Maharashtra, IN

Abstract

Circular microstrip antenna is one of the popular and widely used types of antenna due to low cost, low profile nature. But it suffers from disadvantages like narrow bandwidth, low polarization purity and low power handling capacity. Circular polarization (CP) is useful for number of applications such as radar, communication and navigational systems.
This paper presents use of artificial neural network, and its use to improve and optimize circular microstrip antenna the design of CMSA in which CP is achieved using single feed and cutting two notches at x-axis. This design eliminates use of external power divider, reducing size of the antenna assembly. This paper also demonstrates approximation capability of artificial neural network. Feed forward network architecture with backpropagation algorithm is used. Depending upon size of the database number of hidden layers and number of neurons in hidden layer are decided. Number of neurons in hidden layer is varied and effect on percentage deviation in the output parameter is observed. Depending upon nature of input and output parameters synthesis and analysis artificial neural network (ANN) models are trained. Results of optimized antenna shows considerable enhancement in the bandwidth. This design provides good VSWR bandwidth. It also considers need of polarization purity required in applications like radar. Axial ratio is achieved near ideal value which ensures circular polarization. Drastic decrease in value of axial ratio is one of the great successes of this work.

Keywords

Circular Polarization, Microstrip Antenna, ANN, CP, CMSA.

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