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Pandian, R.
- Rethinking of User Studies in Academic Libraries in the Context of Paradigm Shift Due to ICT
Abstract Views :298 |
PDF Views:69
Authors
Affiliations
1 Anna Univ. Library, Anna Univ., IN
2 Univ. of Madras, Chennai-600 025, IN
1 Anna Univ. Library, Anna Univ., IN
2 Univ. of Madras, Chennai-600 025, IN
Source
Indian Journal of Science and Technology, Vol 2, No 10 (2009), Pagination: 66-68Abstract
The modern libraries are equipped with latest technological developments ranging from digital Archives, repositories, delivery of the net contents and providing seamless global access to the digital information resources. This paper focuses on the importance of library user studies and stresses the required methodological procedures. Keywords: Digital library, ICT, users.Keywords
Digital Library, ICT, UsersReferences
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- Spink Amanda et al. (2002), Information seeking and mediated search Part 1. Theoretical framework and research design. J. Am. Soc. for Info. Sci. Technol. (JASIST) 53(9), 695–703.
- Vijayalaxmi N, Maheswarappa BS (2001) Information use pattern of postgraduate lady students of Gulbarge Univ., Gulbarga. Annals of Library & Info. Studies. 48(3), 93–106.
- Wood D N (1969), Discovering the user and his information need. Aslib Proc. 21, 262-270.
- Adaptive Lifting Schemes Combining Semi Norms for Image Compression
Abstract Views :152 |
PDF Views:3
Authors
R. Pandian
1,
T. Vigneswaren
2
Affiliations
1 Sathyabama University, Chennai–119, IN
2 Electronics and Communication, SRM University, Chennai, IN
1 Sathyabama University, Chennai–119, IN
2 Electronics and Communication, SRM University, Chennai, IN
Source
Digital Image Processing, Vol 3, No 16 (2011), Pagination: 1035-1038Abstract
This paper presents a new class of adaptive wavelet decompositions that can capture the directional nature of the picture information. Our method exploits the properties of semi norms to build lifting structures able to choose between different update filters, the choice being triggered by a local gradient of the input. In order to discriminate between different geometrical information, the system makes use of multiple criteria, giving rise multiple choice of update filters. It establishes the conditions under which these decisions can be recovered at synthesis, without the need for transmitting overhead information.Keywords
Wavelet Transforms, Imagecoding, Lifting Structures.- Adaptive Wavelets for Image Compression Using Update Lifting-Quantization and Error Analysis
Abstract Views :198 |
PDF Views:2
Authors
R. Pandian
1,
T. Vigneswaren
2
Affiliations
1 Sathyabama University, Chennai-119, IN
2 Electronics and Communication, SRM University, Chennai, IN
1 Sathyabama University, Chennai-119, IN
2 Electronics and Communication, SRM University, Chennai, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 2, No 12 (2010), Pagination:Abstract
Classical linear wavelet representations of images have the drawback that they are not optimally suited to represent edge information. To overcome this problem, nonlinear multiresolution decompositions have been designed that can take into account the characteristics of the input signal or image. The adaptive update lifting framework is introduced that does not require bookkeeping but has the property that it processes edges and homogeneous image regions in different fashion. The effect of scalar uniform quantization in an adaptive multiresolution analysis based on lifting implementation is analyzed. Such an analysis is essential for the application of these adaptive decompositions in image compression. Conditions are provided for recovering the original decisions at the synthesis and show how to estimate the reconstruction error in terms of the quantization error.Keywords
Wavelets, Lifting Scheme, Adaptive Wavelets, Quantization, Error Estimation, Image.- Embedded System Based Sensor Failiure Detection and Industrial Environment Controll Over Wireless Network
Abstract Views :103 |
PDF Views:0
Authors
A. Ravishankar
1,
R. Pandian
1
Affiliations
1 Dept of EEE, Kongunadu College of Engineering and Technology, Trichy,Tamilnadu, IN
1 Dept of EEE, Kongunadu College of Engineering and Technology, Trichy,Tamilnadu, IN
Source
International Journal of Engineering Research, Vol 3, No 12 (2014), Pagination: 716-719Abstract
This paper focus on sensor nodes failure detection monitoring and control process via GSM and ZIGBEE wireless module. The virtual instrumentation process does measure the sensor node characteristics value and control the environment by wireless network. The industrial need does uses four types of sensor gas, radiation, temperature, and smoke sensors. The error occurrence does it's to be detected and it will be control by the ARM controller. The performances measures does it can be monitor and also be indicated and also be control through the WSN network. The data logging of sensor monitoring and its control functions are realized through proteus stimuli view.Keywords
Wireless Sensor Network, Sensor Parameter Instrumentation, Proteus View.- Selection of Vanishing Moments of Symlet and Coiflet Wavelets on CT Images
Abstract Views :160 |
PDF Views:0
Authors
Affiliations
1 Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, IN
1 Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, IN
Source
Research Journal of Pharmacy and Technology, Vol 12, No 5 (2019), Pagination: 2404-2406Abstract
The main aim of the work is to develop image compression algorithms with high quality and compression ratio. The objective also includes finding out an best algorithm for medical image compression techniques. The objective is also alert towards the choice of the developed image compression algorithm, which do not modify the characterization behavior of the image. In this paper, image compression algorithm based on discrete symlet and coiflet wavelet transform is implemented for decomposing the image. The selection of different vanishing moments are discussed based on the values of peak signal to noise ratio (PSNR), compression ratio (CR), means square error (MSE) and bits per pixel (BPP). The optimum moments for compression are also chosen based on the results.Keywords
Wavelet Transforms, Symlets, Coiflets, EZW, SPIHT and STW.References
- Osornio rios R A , Identification of positioning system for industrial application using neural network , J Sci Ind India 76(2017),141-144.
- Pandian R, Vigneswaran T and Lalitha Kumari S, Characterization of CT cancer lung image using image compression algorithms and feature Extraction, J Sci Ind Res Ind , 75 (2016) 747-751.
- Pandian R and Vigneswaran T, Adaptive wavelet packet basis selection for zerotree image coding, Int J of Sig and Imag Sys Eng 9 (2016) 388-392.
- Pandian R, Evaluation of image compression algorithms, IEEE Und Tech (UT) NIOT, (2015) 1-3.
- Sheela K G and Deepa S N , Selection of number of hidden neurons in renewable energy system, J Sci Ind Res India 73(2014),686-688.
- Chenwei Deng, Weisi Lin and Jianfei Cai, Content-Based Image Compression for Arbitrary-Resolution Display Devices, IEEE Trans on M media, 4(2012) 1127-1139.
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