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Recent Papers

A Survey of Multipath Routing protocols in Wireless Multimedia Sensor Networks

There has been an rapid development in the field of wireless senor networks(WSN) in the recent years. The development is mainly due to the availability of small size sensor cameras and microphones The advances in micro electromechanical systems have promoted the progress of a powerful class of sensor-based distributed intelligent systems skilled of ubiquitously retrieving multimedia information, namely Wireless Multimedia Sensor Networks (WMSNs).So the WMSN is the current topic of research due to its applications in various fields. In order to improve the channel utilization rate, reduce transmission delay and balance the transmission load in WMSN multipath routing is a promising solution. Multipath routing helps to transfer data concurrently by reducing the delay and congestion in WMSN. In this paper, various protocols and schemes are being discussed on multipath routing strategy which will identify the areas of further development for WMSN.

Published by: N. Kusuma, Dr. A. Subramanyam

Author: N. Kusuma

Paper ID: V3I3-1371

Paper Status: published

Published: May 26, 2017

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Anomalous Behavior Detection in Crowded Environments Using Classifiers Artificial Neural Network and Support Vector Machine

Our propose method focuses to detect and localize anomalous behavior in videos of crowded area means different scenario from dominant pattern. Proposed method consist motion and appearance information therefore different kinds of anomalies can be robustly identified in a wide range of situations. Histogram of oriented gradients can easily captures varying dynamic of crowded environment. Histogram of oriented gradients can also effectively recognize and characterize each frame of each scene. Our method of detecting anomalies using artificial neural network and support vector machine consist both appearance and motion features which extracts this features within spatio temporal domain of moving pixels that ensures robustness to local noise and thus increases accuracy in detection of local anomaly with low computational cost. UCSD dataset which will be used and which consist various situations with varying human crowds as well as traffic data with occlusions when feed to our propose method can achieve significantly higher accuracy probably more for pixel level events detection as compared to any other methods.

Published by: Meenal Suryakant Vatsaraj, Prof. D. S Bade

Author: Meenal Suryakant Vatsaraj

Paper ID: V3I3-1380

Paper Status: published

Published: May 25, 2017

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Survey Paper Analysis On Deblur Image Using Various Technique Method

The image processing is an important field of research in which we can get the complete information about any image. One of the main problems in this research field is the quality of an image. So the aim of this paper is to propose an algorithm for improving the quality of an image by removing blur, which is an image blur. Review of different deblurring techniques is obtained for a good quality image. The deblurring techniques are basically used to sharp an image using different methods & parameters. Image restoration and recognition has been of great importance nowadays. Face recognition becomes difficult when it comes to blurred and poorly illuminated images and it is here face recognition and restoration come to picture. There have been many methods that were proposed in this regard and in this paper we will examine different methods and technologies discussed so far.

Published by: Renuka Yadav, Munesh Yadav

Author: Renuka Yadav

Paper ID: V3I3-1411

Paper Status: published

Published: May 25, 2017

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Implementation of Pulse Compression for Space Applications

Pulse Compression is one of the key steps in the signal processing of a Radar system. Radar system uses Pulse compression techniques to provide the benefits of larger range detection and high range resolution. This is gained by modulating the transmitted signal and after that matching the received echo with the transmitted signal. Matched filter is used as the pulse compression filter which provides high SNR at the output. Matched Filter is a time reversed and conjugated version of the received radar signal. There are several methods of pulse compression that have been used in the past, out of which most popular technique is Linear Frequency Modulation (LFM). This paper deals with the design to develop and simulate pulse compression and matched filter algorithm in MATLAB to study the LFM pulse compression technique. Matched filter is used as the pulse compression filter which provides high SNR at the output. Matched Filter is mathematically equivalent to convolving the received signal with a conjugated time-reversed version of the reference signal. The main application of pulse compression Radars includes tracking of launch vehicles, unwanted particles in space, Missile guidance etc. Here, in this paper we are discussing the pulse compression application in tracking the launch vehicle so as to check whether it had followed the predetermined path or not.

Published by: Arya V. J, Subha .V

Author: Arya V. J

Paper ID: V3I3-1372

Paper Status: published

Published: May 25, 2017

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Preventing the Anonymous Authentication Using Cashma Technique

Security in web based session management is a serious concern, due to the recent increase in the frequency and complexity of cyber attacks. Traditionally most of the system are based on the pairs of username and password which verify the identification of the user only at the login phase. Once the user can be identified, no checks are performed during the working sessions, which are terminated by an explicit logouts or expire after an idle activity period of the user. In this approach a single shot of verification is less efficient and the user identity is permanent during the entire session. To overcome this aspect, a secure protocol authentication is used for continuous user verification. This protocol makes adaptive time outs and periodically request the user to input his authentication attributes over and over. For this adaptive method, CASHAMA authentication system is used which provides different verification methods such as Keystroke timing, Mathematical event and CASHMA certificate. The use of this CASHMA system will provide secure web service and prevent the loss of data.

Published by: Santhosh, Prof. Dr. V. JayaRaj

Author: Santhosh

Paper ID: V3I3-1379

Paper Status: published

Published: May 25, 2017

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Renal Cell Carcinoma Nuclear Grading Using 2d Textural Features for Kidney Images

Cancer identification system is proposed based on the features present in the kidney images. Different algorithms such as CLACHE (Contrast limited adaptive histogram equalization), GLCM (gray level Co-occurrence matrices) and SVM (support vector machine) algorithm are used for the identification of cancer. CLACHE algorithm is used for the enhancement of the image. GLCM algorithm is used to improve the overall accuracy of the system and to extract the textural features. SVM algorithm is used to classify the different grading levels to identify the cancer present in the image. Images that are acquired for the identification of cancer are noisy. Noise is removed by the ROI extraction. Then the images are enhanced using CLACHE algorithm. Once the images are enhanced, features are extracted using GLCM. 21 textural features are extracted. Out of the 21 features extracted two best features are selected. The two best features are compared with the trained features for the increase in the accuracy of the system. After that based on the features different grading levels are obtained for the identification of the cancer. Grade 1 indicates the presence of cancer in starting stage, grade 2 indicates the presence of cancer in the moderate stage, grade 3 indicates the presence of cancer in the mild stage, grade 4 indicates the presence of cancer in the severe stage. In this study, 2D textural features are extracted and using these extracted features cancer identification is done which improves the overall accuracy of the system.

Published by: Jayashree G. R, Dr. K. M Ravi Kumar, Ravi Kiran .R

Author: Jayashree G. R

Paper ID: V3I3-1377

Paper Status: published

Published: May 25, 2017

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