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Nagaraj, R.
- Correlation Similarity Measure based Document Clustering with Directed Ridge Regression
Abstract Views :225 |
PDF Views:0
Authors
R. Nagaraj
1,
V. Thiagarasu
2
Affiliations
1 Karpagam University, Coimbatore, IN
2 Computer Science, Gobi Arts & Science College, Gobichettipalayam, IN
1 Karpagam University, Coimbatore, IN
2 Computer Science, Gobi Arts & Science College, Gobichettipalayam, IN
Source
Indian Journal of Science and Technology, Vol 7, No 5 (2014), Pagination: 692–697Abstract
Correlation Preserving Indexing (CPI) can discover the intrinsic structures implanted in high-dimensional document space. To predict the result of one variable based on another variable is not suitable for all the situations since two variable prediction problems takes places. In this paper, Directed Ridge Regression is introduced to predict two or more variables which are highly correlated in high dimensional document space. Directed Ridge Regression is a statistical technique to estimate the relationship among the variables based on the Eigen values to find the similarity between the documents. The directed ridge estimator alters the diagonal elements of the Eigen values. The objective of the Directed Ridge Regression is to achieve efficient document clustering in similarity measure. Experimental results shows that compared to Correlation Preserving Indexing, the Directed Ridge Regression achieves efficient document clustering.Keywords
Correlation Similarity Measure, Directed Ridge Regression, Document Clustering, Latent Semantic IndexingFull Text
- Annual Review of Cell and Developmental Biology, 2013
Abstract Views :252 |
PDF Views:76
Authors
Affiliations
1 CSIR-Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500 007, IN
1 CSIR-Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500 007, IN
Source
Current Science, Vol 107, No 4 (2014), Pagination: 703-705Abstract
No Abstract.Full Text
- Optimization and Scalable Constrained Clustering Performances
Abstract Views :208 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science, Karpagam University, Coimbatore, IN
2 Department of Computer Science, Gobi Arts and Science College, Gobichettipalyam, IN
3 Department of Computer Science, kamadhenu College of Arts and Science, Sathyamangalam, IN
1 Department of Computer Science, Karpagam University, Coimbatore, IN
2 Department of Computer Science, Gobi Arts and Science College, Gobichettipalyam, IN
3 Department of Computer Science, kamadhenu College of Arts and Science, Sathyamangalam, IN
Source
Indian Journal of Innovations and Developments, Vol 4, No 7 (2015), Pagination: 1-7Abstract
Objectives: To achieve the accuracy of clustering performances higher and to optimize the scalable approaches.
Methods: Constrained spectral clustering and optimization algorithms are used to analyze and evaluate the large dataset. It is used to produce quality of clustering results.
Findings: The proposed method achieves high performance in terms of precision, recall and accuracy.
Application/Improvements: The proposed system is done by using optimization algorithm and pairwise constraints concepts. The optimization algorithm is used to increase the clustering accuracy and produce more optimal performances.
Keywords
Constrained Spectral Clustering, Scalability and Optimization.Full Text
- Annual Review of Cell and Developmental Biology, 2020. Ruth Lehmann, Jennifer Lippincott-Schwartz and Alexander F. Schier (eds)
Abstract Views :182 |
PDF Views:82
Authors
Affiliations
1 CSIR-Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500 007, IN
1 CSIR-Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500 007, IN
Source
Current Science, Vol 121, No 9 (2021), Pagination: 1249-1250Abstract
No Abstract.Keywords
No KeywordsFull Text
- SOM Based Clustering for Detecting Bacterial Spot Disease in Tomato Field
Abstract Views :236 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Applications, Karpagam University, Coimbatore, Tamil Nadu, IN
1 Department of Computer Applications, Karpagam University, Coimbatore, Tamil Nadu, IN
Source
Indian Journal of Innovations and Developments, Vol 5, No 7 (2016), Pagination: 1-8Abstract
Objectives: The main objective of introducing SOM based clustering method is to improve the classification accuracy and detection of bacterial spot disease in tomato field.
Methods: There are various image processing methods used to identify disease and severity of disease in plants. One of such methods uses visible spectrum Images for automatically detecting and classifying the severity of bacterial spot in tomato fields. Centroid-based K-means clustering was widely used for automatic segmentation.
Findings: Plant diseases are one of the major responsibilities for economic degradation in the agricultural industry. So regular monitoring of plant health and early detection of disease causing pathogens are required for minimizing disease spread and assist effective management practices. Centroid-based K-means clustering for segmentation always does not chose centroids that provide best results and also different initial set of centroids affect the shape and effectiveness of the final cluster.
Application/Improvements: To overcome the limitations of Centroid-based K-means clustering, Self-Organizing Maps (SOM) is introduced for achieving effective classification result and to improve the detection performance.
Keywords
Plant Diseases, Visible Spectrum Images, Centroid-Based K-Means Clustering, Self-Organizing Maps.Full Text
References
- D. L. Borges, S. T. D. M. Guedes, A. R. Nascimento, P. Melo-Pinto. Detecting and grading severity of bacterial spot caused by Xanthomonas spp. in tomato (Solanum lycopersicum) fields using visible spectrum images. Computers and Electronics in Agriculture, 2016; 125, 149-159.
- S. P. Patil, R. S. Zambre. Classification of cotton leaf spot disease using support vector machine. International Journal of Engineering Research and Applications.2014; 4, 92-97.
- P. Chaudhary, A. K. Chaudhari, A. N. Cheeran, S. Godara. Color transform based approach for disease spot detection on plant leaf. International Journal of Computer Science and Telecommunications, 2012; 3(6), 65-70.
- S. B. Patil, S. K. Bodhe. Leaf disease severity measurement using image processing. International Journal of Engineering and Technology, 2011; 3(5), 297-301.
- R. A. D. Pugoy, V. Y. Mariano. Automated rice leaf disease detection using color image analysis. In 3rd international conference on digital image processing. International Society for Optics and Photonics. 2011, April, 80090F-80090F.
- S. Sankaran, A. Mishra, R. Ehsani, C. Davis. A review of advanced techniques for detecting plant diseases. Computers and Electronics in Agriculture, 2010; 72(1), 1-13.
- E. R. Araújo, J. R. Costa, M. A. S. V. Ferreira, A. M. Quezado‐Duval. Simultaneous detection and identification of the Xanthomonas species complex associated with tomato bacterial spot using species‐specific primers and multiplex PCR. Journal of applied microbiology, 2012; 113(6), 1479-1490.
- M. M. López, E. Bertolini, A. Olmos, P. Caruso, M. T. Gorris, Llop,M. Cambra. Innovative tools for detection of plant pathogenic viruses and bacteria. International Microbiology, 2003; 6(4), 233-243.
- D. Al Bashish, M. Braik, S. Bani-Ahmad. A framework for detection and classification of plant leaf and stem diseases. In Signal and Image Processing (ICSIP), 2010 International Conference on IEEE. 2010, Dec., 113-118.
- D. Al Bashish, M. Braik, S. Bani-Ahmad. A framework for detection and classification of plant leaf and stem diseases. In Signal and Image Processing (ICSIP), 2010 International Conference on IEEE. 2010, Dec., 113-118.
- V. Brindha, A. A. Mathew. Molecular characterization and identification of unknown bacteria from waste water. Indian Journal of Innovations and Developments, 2012; 1(2), 87-91.
- Annual Review of Cell and Developmental Biology, 2015
Abstract Views :200 |
PDF Views:74
Authors
Affiliations
1 CSIR-Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500 007, IN
1 CSIR-Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500 007, IN
Source
Current Science, Vol 112, No 01 (2017), Pagination: 172-175Abstract
This volume comprises reviews covering a wide range of topics. The editors have broadly classified them in different areas pertaining to cell and developmental biology. However, the reviews are highly focused.Full Text
- Annual Review of Cell and Developmental Biology, 2016
Abstract Views :227 |
PDF Views:76
Authors
Affiliations
1 CSIR-Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500 007, IN
1 CSIR-Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500 007, IN
Source
Current Science, Vol 113, No 01 (2017), Pagination: 168-170Abstract
The present volume of Annual Review of Cell and Developmental Biology has 28 reviews. The introduction by Randy Schekman is worth mentioning as it deals with the important aspect of reproducibility of published results. Schekman argues that though scientific research is self-correcting and may work in the long run, the short-term problem with public acceptance of science will be a problem. He strongly argues for change in the culture that allows a distortion of the scientific method and suggests that the whole process of scientific publication should be such that the penalty for misrepresentation should be very high.Full Text
- Improved Delta Operator based Discrete Sliding Mode Fuzzy Controller for Buck Converter
Abstract Views :146 |
PDF Views:0
Authors
Affiliations
1 Department of Electrical and Electronics Engineering, The Oxford College of Engineering, Bangalore – 560068, Karnataka, IN
2 Amity School of Engineering and Technology, Lucknow – 226028, Uttar Pradesh, IN
3 Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar – 382007, Gujarat, IN
1 Department of Electrical and Electronics Engineering, The Oxford College of Engineering, Bangalore – 560068, Karnataka, IN
2 Amity School of Engineering and Technology, Lucknow – 226028, Uttar Pradesh, IN
3 Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar – 382007, Gujarat, IN
Source
Indian Journal of Science and Technology, Vol 10, No 25 (2017), Pagination:Abstract
A delta operator based Discrete Sliding Mode Fuzzy Controller (DSMFC) for dc-dc buck Converter is described. The discrete systems by means of shift operator turns into mathematically disordered at an unexpected sampling rates. In order to face this difficulty, the delta operator is introduced. The delta operator can convert continuous-time system into discrete-time system and vice-versa. The main aim is to increase the rate of response, develop efficiency, get excellent Robustness and chattering phenomenon inhibition. This method is easy to implement and the overall system is efficient and cost-effective. During discretization, to circumvent any data damage, quick sampling has to be done which can be achieved with the help of delta operator because of its well defined mathematical properties even at rapid sampling.Keywords
DC-DC Converter, Delta Operator, Discrete Fuzzy Sliding Mode Controller, Discrete Sliding Mode Controller, Fuzzy logic controllers, Sliding Mode ControllerFull Text
- PI Fuzzy and ANFIS based Performance Analysis on the Hybrid Shunt Active Filter Controlled by a Composite Control Technique
Abstract Views :197 |
PDF Views:0
Authors
P. Sandhya
1,
R. Nagaraj
2
Affiliations
1 Department of Electronics and Electrical Engineering,The Oxford College of Engineering, Hosur Road, Bangalore – 560068, Karnataka, IN
2 The Oxford College of Engineering, Bangalore – 560068, Karnataka, IN
1 Department of Electronics and Electrical Engineering,The Oxford College of Engineering, Hosur Road, Bangalore – 560068, Karnataka, IN
2 The Oxford College of Engineering, Bangalore – 560068, Karnataka, IN
Source
Indian Journal of Science and Technology, Vol 10, No 45 (2017), Pagination:Abstract
Objective: This paper demonstrates the hybrid active power filter (HAPF) implementation in the two-bus system with non-linear loads comprising of inductance, capacitance and the rectifier using intelligent controllers. Methods: Active Power filter (APF) is developed using the point of common coupling (PCC) voltage regulation principle based composite controller. Matlab based implementation using PI, Fuzzy and Adaptive Neuro Fuzzy Inference System (ANFIS) controllers is carried out and the results are tabulated and observed. It is perceived that the Neuro Fuzzy implementation of the HAPF is achieving better results. Findings: A two-bus system with all the three types of loads like rectifier with resistance, inductance and capacitance is considered for the analysis. This paper uses the composite control technique. Improvements: The correction in power factor, Total Harmonic Distortion (THD) improvement and reactive power compensation are used as the measure of the performance in the performance analysis carried out in this paper.Keywords
Active Power Filter, ANFIS Controller, Fuzzy Controller, Hybrid Active Power Filter, PI Controller, Power Factor Correction, THD (Total Harmonic Distortion)Full Text
- Annual Review of Cell and Developmental Biology, 2017
Abstract Views :195 |
PDF Views:71
Authors
Affiliations
1 CSIR-Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500 007, IN
1 CSIR-Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500 007, IN
Source
Current Science, Vol 115, No 9 (2018), Pagination: 1811-1812Abstract
The Annual Review of Cell and Developmental Biology is eagerly awaited by the scientific community, as the reviews are not a mere documentation of references but also discuss current state of research in the areas covered and the problems that remain to be addressed. There are 25 reviews in this volume, including perspectives. The ‘Introduction’ by Randy Schekman (one of the editors) is entitled ‘The challenge to science in the arena of public policy’. Schekman expresses concern on the misrepresentation of science for political purposes. He argues that while scepticism should be welcomed, the challenge should be based on scientific principles and not blind dogma. While the article is US-centric, it is highly relevant to all countries.Full Text
- Annual Review of Cell and Developmental Biology, 2018
Abstract Views :184 |
PDF Views:69
Authors
Affiliations
1 CSIR-Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500 007, IN
1 CSIR-Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500 007, IN
Source
Current Science, Vol 117, No 5 (2019), Pagination: 881-882Abstract
This volume has a new editor in Ruth Lehmann. The ‘Introduction’ section in this volume is a retrospective of the previous editor Randy Schekman’s views, particularly on science policy and science–society relationships. The future volumes of the Annual Review of Cell and Developmental Biology should give insights into Lehmann’s views and style.Full Text