The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Generally patient data in healthcare environments exist in relational databases. Classification of echocardiographic images is an important data mining task that helps hospitals without transferring the data in any form. This paper proposes a novel method to accomplish this task using naïve Bayesian model via SQL. The proposed method has two phases. The first phase builds a knowledge base using many...
Compressive Sensing (CS) provides a solid theoretical framework for sparse signal recovery. In this work, we concentrate on recovering the foreground object which can be represented as a sparse vector using wavelets. The method revolves around the CS framework by judiciously using the complex field BCH codes and the syndrome as measurements to achieve our goal of robust background subtraction using...
The area of Compressive Sensing (CS) has been witnessing a flurry of research activity, bringing out solid theoretical results and its usefulness in different applications. With the need to address practicalities, fast reconstruction algorithms are being proposed quite recently. Towards studying their effectiveness in different applications, we have chosen one attractive candidate, the complex homotopy,...
Application of cryptography for secure Wireless Sensor Networks poses challenging problems because all the cryptographic algorithms are computationally intensive and wireless nodes have limited resources. In this paper, we describe an Identity Based Elliptic Curve Cryptosystem (IBE-ECC) based on Tate pairing which is lightweight without any Public Key Infrastructure (PKI) and no key exchanges. In...
Watermarking videos have been explored extensively in the recent past. In our work, we are proposing a biometric based watermarking scheme to embed a fingerprint into a HD video for authentication. Using the idea from existing techniques, we arrive at an effective solution capable of handling extreme attacks such as resizing and cropping. In this direction, we propose a method to use binary feature...
In this paper we consider a new class of codes over rings obtained through 2-adically extending the Projective Geometry (PG) codes by means of lifting. We also propose an elegant and configurable bit-serial Majority Logic (MLG) decoding architecture consisting of simple blocks, making it amenable for Very Large Scale Integration (VLSI). Some preliminary performance results are also provided to demonstrate...
The resource-constraints in the sensor networks make reliable data communication a challenging task. Particularly, the limited availability of battery and computing power necessitates designing computationally efficient means for providing data compression and protection against data loss. In this paper, we propose to integrate the emerging framework of compressive sensing (CS) with real expander...
Content Based Image Retrieval (CBIR) is the application of computer vision techniques to retrieve the most visually similar images from the image database for any given query image. The visual characteristics of a disease carry diagnostic information and oftentimes visually similar images correspond to the same disease category. In this paper we aim at building an efficient Content Based Echo Image...
Doppler imaging allows evaluation of blood flow patterns, direction, and velocity. The color (red, blue, and mosaic) signify the direction of the blood flow. By analyzing this color Doppler, it is possible to detect heart diseases like mitral and aortic stenosis, mitral, tricuspid, and aortic regurgitation, and Left Ventricle (LV) hypertrophy. We present 3 methods to extract low level features namely...
Accurate analysis of 2D echocardiographic images is vital for diagnosis and treatment of heart related diseases. For this task, extraction of cardiac borders must be carried out. In particular, automatic quantitative measurements of Left Ventricle (LV), Right Ventricle (RV), Left Atrium (LA), Right Atrium, Valve size, etc. are essential. We believe that automatic processing of these echo images could...
An efficient K-Means clustering algorithm is proposed using the power of SQL in a relational Database Management environment. Further, this method is applied to segment 2D echocardiography images. We propose this method mainly to improve the speed of segmentation process for further clinical analysis and diagnosis (example: Left Ventricular (LV) boundary detection and other 2D quantitative measurements)...
A wide proliferation of distributed storage systems call for more robust and efficient systems than regular replication based storage systems. The Low density parity check (LDPC) codes have become a popular alternative to traditional Reed-Solomon (RS) erasure codes due to their low computational complexity. In this paper we propose, Spread Store- a distributed storage system based on LDPC code. Also,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.