A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Boopathi, S.
- Fast Power Allocation In Wireless Multi Channel Systems
Authors
Source
International Journal of Innovative Research and Development, Vol 2, No 7 (2013), Pagination:Abstract
Inmulti-channel communications, Water-Filling (WF) is a fundamental power allocation mechanismfor capacity maximization under a given total transmit power.In this letter, we propose simple and fast WF algorithms forachieving agile power allocation, such that the system can bettermatch thedynamic nature of the wireless channels for a betterperformance. Our algorithms remove the need of water-levelsearching. Numerical results show that they can run multipletimes faster than the existing ones and can converge to theoptimal solution in a few linear calculations.
Full Text
- Classification Of Chromosomes Using Feed Forward Neural Network Back Propagation Algorithm
Authors
Source
International Journal of Innovative Research and Development, Vol 2, No 5 (2013), Pagination:Abstract
Karyotyping is a common method in cytogenetic. Automatic classification of the chromosomes within the microscopic images is the first step in designing an automatic karyotyping system. This is a difficult task especially if the chromosome is highly curved within the image. The main aim of this paper was to define a new group of features for better representation and classification of chromosomes. this paper proposes classification & analysis of human chromosomes which includes the following steps i)we use image processing utilities and filter to remove noise .ii)the filtered image is then entered into segmentation algorithm to segment the image .iii)then the segments enter into two tracks for classifying chromosomes. the first one depends on image processing for measuring the length of chromosomes where the second one deals with initiating the feed forward neural network which is trained by means of back propagation algorithm. By using feed forward neural network and back propagation algorithm, width, position and the average intensity of chromosome was determined. back propagation algorithm achieves high accuracy with minimum training time, which makes it suitable for real-time chromosome classification in the laboratory.in our paper ,segmentation is done by using image processing and classification is done by using feed forward neural network and back propagation algorithm.
Full Text
- Transformerless Inverter for Single Phase Photo Voltaic System with Electrical Information
Authors
1 Department of EEE, Excel College of Engineering and Technology, IN
Source
Digital Signal Processing, Vol 11, No 2 (2019), Pagination: 42-43Abstract
The usage of an interleaved lift converter Constrained by fluffy rationale control, joined with ordinary multi circle control and interleaved beat width tweak. The regular technique has the disadvantage of expanded current furthermore, voltage swell. The produced adjusted proposed framework will lessen the voltage and current swell and improve PFC redress. The normal conduct of the interleaved three-level Switch-Mode Rectifier (SMR) is like the voltage stress and can be diminished utilizing ZVS and ZCS delicate exchanging technique. The proposed technique is created with installed controller in the equipment.
Keywords
Photo Voltaic System, Solar Panel, DC – DC Converter Controller, PIC Controller.
References
- X. Guo, R. He, J. Jian, Z. Lu, X. Sun, and J. M. Guerrero, “Leakage current elimination of four-leg inverter for transformerless three-phase PV systems’, IEEE Trans. Power Electron., vol. 31, no. 3, pp. 1841– 1846, Mar. 2016.
- C. Woo-Jun, K. Kyu-Tae, C. Yong-Won, L. Sung-Ho, and K. BongHwan, “Evaluation and analysis of transformerless photovoltaic inverter topology for efficiency improvement and reduction of leakage current,” IET Power Electronics, vol. 8, no. 2, pp. 255–267, 2015.
- H. Xiao and S. Xie, “Leakage current analytical model and application in single-phase transformerless photovoltaic grid- connected inverter,” IEEE Trans. on Electromag. Comp., vol. 52, no. 4, pp. 902-913, Nov. 2010.
- Determinants of Consumption of Water In Rural Areas: A Case Experience from Coimbatore District
Authors
1 Department of Economics, Bharathiar University, Coimbatore – 641046, Tamil Nadu, IN
Source
Journal of Rural Development, Vol 37, No 3 (2018), Pagination: 565-584Abstract
This paper analyses determinants of average consumption of domestic water by households in rural areas of Coimbatore district. For this study both primary and secondary data have been used. A multistage sampling method viz., systematic, stratified, proportionate random techniques was used to select sample villages. 342 sample households were selected across 4 taluks, 3 blocks, 4 village Panchayats and 31 habitations. Method of data analysis involved the use of descriptive statistics and linear regression for the sample households. The linear regression estimates revealed that the family size, dryland, total family income, total expenditure per month, total distance for water collection, sources of water for drinking and cooking, distribution time of water used for other purposes, age of water collector and per capita consumption of water (LPCD) are statistically significant at P > 0.05 level.Keywords
Rural Water Supply, Per Capita Consumption, Consumption of Water.References
- Boopathi S and R. Manikandan (2011), Drinking Water Accessibility in Rural Areas: A Case of Tamilnadu, Sigamani P and N U Khan (ed), Reinventing Public Management and Development in Emerging Economies, Macmillan Publication, New Delhi, pp. 450-467.
- Guidelines of Rajiv Gandhi National Drinking Water Mission, National Rural Drinking Water Programme, Framework for implementation (2009-2010).
- Ravichandran M and S Boopathi (2002), Economic and Environmental status of drinking water provision, Journal of Social and Economic Development, Vol. 4 (2) July-December.
- Hadjer K, T. Klein and M. Schopp (2005), Water consumption embedded in its social context, north-western Benin, Journal of Physics and Chemistry of the Earth, Vol. 30, Issues 6-7, 2005, pp. 357-364.
- Philippe cullet (2009), New Policy Framework for Rural Drinking Water Supply: Swajaldhara Guidelines, Economic and Political Weekly, Vol. XLIV no. 50, pp 47-54, December 12, 2009.
- Dale Whittington, Xinmingmu and Robert roche (1990), Calculating the Value of Time Spent in Collecting Water: Some Estimates for Ukunda, Kenya, Journal of World Development, Vol. 18, No. 2, pp. 269-280.
- Ravichandran M and S. Boopathi (2007), Environmental Management: Issues in potable water in rural Tamilnadu, Concept Publication Company, New Delhi, pp. 168-171.
- Tamilnadu Water Supply and Drainage Board (2010), habitation-wise resurvey, Chennai.
- Keshab Das and Pritee Sharma (2005), Potable water for the rural poor in arid Rajasthan: Traditional Water Harvesting as an option, Gujarat Institute of Development Research, Ahmedabad. Available at www.gidr.ac.in/ gidr/pdf/WP-155.pdf (assessed on 23.02.2011)
- Paul Appasamy (2006), Report on Rapid Sector Assessment, Tamilnadu Water Supply and Drainage Board (TWAD), Pp 3-7.
- Government of India (2007-2012), Eleventh Five Year Plan, Volume II, Social Sector, Planning Commission, New Delhi.
- Ramachandraiah C (2001), Drinking Water as a Fundamental Right, Economic and Political Weekly, Vol. 36, No. 08, February 24-March 02, 2001, pp. 619-621.
- Bhagirath Behera and V. Ratna Reddy (2002), Environment and Accountability Impact of Industrial Pollution on Rural Communities, Economic and Political Weekly, Vol.37, No. 3, January 19-25, pp 257-265.