Informatics Publishing Limited

K. Sivasubramanian ¹, K. P. Jaya ², K. Ramanjaneyulu ¹

Affiliations
1 CSIR-Structural Engineering Research Centre, Taramani, Chennai 600 113, IN
2 Structural Engineering Division, Department of Civil Engineering, Anna University, CEG Campus, Chennai 600 025, IN

Abstract

Infrared thermography is an interesting non-contact evaluation technique which relies on surface thermal gradient. It is used to identify dissimilarity in geometry or material property. The application of this method in civil engineering is limited, as concrete components are heavy and require large amount of heat to reveal differential thermal gradients. Hence, the present work focuses on assessing the applicability of the infrared thermography technique for civil engineering structures under ambient conditions using solar heat. For the study, the exterior frames in real structures have been chosen, wherein the reinforced concrete and masonry members are not explicitly visible to the eye. The initial studies showed that the thermograms revealed different temperature gradients corresponding to the main beams and masonry walls, thus aiding in their identification. However, when the method was extended to multi-storey framed structures, the thinner elements like lintel beams could not be identified. The application of improved thermography technique using wavelet packet analysis to two test structures showed that lintel beams could also be identified. Also, the possibility to evaluate the geometric dimensions of structural members and floor heights, using the thermogram and a reference dimension, has been studied on two test structures. The geometric dimensions could be evaluated with more than 90% accuracy.

Keywords

Brick Masonry, Concrete, Infrared Thermography, Structural Element, Wavelet Packets.

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M. Deepika ¹, K. Sivasubramanian ¹

Affiliations
1 K. S. Rangasamy College of Technology, Namakkal Dist. Tamilnadu, IN

Abstract

Low Density Parity Check (LDPC) Decoder is an iterative decoding process. It requires large amount of memory access which leads to high power consumption. Layered decoding provides efficient and high throughput implementation of LDPC decoders. The row based or column based layered scheduling is introduced to reduce the iteration number. Memory bypassing scheme is proposed to achieve optimal reduction of memory access and to minimize power. Layered decoding approach is explored to reduce the critical path of the layered LDPC decoder. LDPC codes not only exhibit very good error-correcting performance but also effectively fit to partially parallel VLSI decoder implementations.

Keywords

VLSI, LDPC (Low Density Parity Check), Parity Check Matrix, Low Power.

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C. Gunavathi ¹, K. Premalatha ², K. Sivasubramanian ³

Affiliations
1 School of Information Technology and Engineering, VIT University, Vellore, IN
2 Department of CSE, Bannari Amman Institute of Technology, Sathyamangalam, IN
3 Department of ECE, K.S. Rangasamy College of Technology, Tiruchengode, IN

Abstract

Microarray technology is commonly used in the study of disease diagnosis using gene expression levels. It not only received the attention of the research community but also has a wide range of applications. The success of microarray technology depends on the precision of measurement, the usage of tools in data mining, analytical methods and statistical modeling. The feature selection methods are used to find an informative representation, by removing noisy and irrelevant features which would improve the classification performance. There exist several works in the literature to select the significant features from the microarray. This paper reviews the feature selection methods used to select significant genes from the microarray gene expression data for cancer classification.

Keywords

Microarray, Feature Selection, Gene Expression, Cancer Classification, Gene Selection.

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