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- S. K. Srivastava
- J. Venkata Subramanian
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Journals
- Indian Forester
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- Nature Environment and Pollution Technology
- Research Journal of Science and Technology
- International Journal of Forestry and Crop Improvement
- Nelumbo - The Bulletin of the Botanical Survey of India
- Indian Journal of Economics and Development
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- International Journal of Computer Networks and Applications
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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
Manikandan, R.
- Habitat and Life form Analysis on Endemism in the Family Asteraceae from Karnataka State
Abstract Views :286 |
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Authors
Source
Indian Forester, Vol 139, No 1 (2013), Pagination: 49-52Abstract
The present article deals with detailed information on habit, habitat, distribution, flowering and fruiting phenology and conservation status of 39 taxa belonging to 16 genera which are endemic to India and confining their distribution in the state of Karnataka.Keywords
Habitat, Life Form, Endemic Taxa, Asteraceae, Karnataka.
- Diversity, Medicinal and Threatened Plants in Govind Pashu Vihar Wildlife Sanctuary, Western Himalaya
Abstract Views :119 |
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Authors
Affiliations
1 Botanical Survey of India, Northern Regional Centre Dehradun, Uttarakhand, IN
1 Botanical Survey of India, Northern Regional Centre Dehradun, Uttarakhand, IN
Source
Indian Forester, Vol 141, No 9 (2015), Pagination: 966-973Abstract
The paper deals with information on floristic composition of the Govind Pashu Vihar Wildlife Sanctuary compriseing 821 species, 8 subspecies, 11 varieties and a few cultivated species of Angiosperms, distributed over 479 genera and 125 families, of these, 9 species are critically endangered, 14 species are endangered, 9 species are vulnerable and 7 species are Least Concern. In addition, medicinal plants which form the basis for certain life saving drugs have also been incorporated.Keywords
Medicinal Plants, Threatened Plants, Govind Pashu Vihar Wildlife Sanctuary, Western Himalaya.- Personalized Cloud Storage for E-Mails
Abstract Views :111 |
PDF Views:2
Authors
Affiliations
1 SRM University, Chennai, IN
1 SRM University, Chennai, IN
Source
Wireless Communication, Vol 4, No 2 (2012), Pagination: 94-100Abstract
There has been a wide variety of cloud storage services for the file access and sharing, but it has been cost-effective. That makes it as less utile. People are not willing to use it. But as in our project the cloud storage services is offered for the web services such as Gmail and Yahoo! Even for uncharged accounts, this makes people to use it in the highly basis. As e-mail has become the powerful communication in our modern world. We have to provide the basic needs of giving the more security in preventing their mails from being destroyed. So we provide a backup storage or cloud storage for every individual account to access client own mails with our project. We are using the POP3 mail service to retrieve the mails. It is the more secured path to be accessed. A personal storage system leveraging online email service infrastructures would also benefit service providers as it extends their access to valuable customer data in terms of both volumes and variety. The major objective of the project is we have to connect to the mail server with the desired login information. As we are allowing the access for two mail services such as Yahoo and Gmail. The mails which have been accessed in our account can be retrieved in our My Mailbox using the Cloud storage services. As we are forming the personal cloud storage for every e-mail account. It makes easier to retrieve the relevant mails. As the mails are retrieved from our services, it can also be restored to our individual account. This makes it efficient for our web services. The main concern in our project is that, whenever the users or clients have deleted or lost their mails in the main server, it can be viewed here. And we also restrict the spam messages to the inbox. We will only retrieve the relevant mails which is present in the E-mail services with the help of the POP3 protocol.Keywords
Cloud Storage, POP3 Protocol, Web Services.- Video Object Extraction by Using Background Subtraction Techniques for Sports Applications
Abstract Views :144 |
PDF Views:3
Authors
Affiliations
1 Tamilnadu Physical Education and Sports University, Chennai, IN
2 Department of Advanced Sports Training and Technology, Tamilnadu Physical Education and Sports University, Chennai, IN
1 Tamilnadu Physical Education and Sports University, Chennai, IN
2 Department of Advanced Sports Training and Technology, Tamilnadu Physical Education and Sports University, Chennai, IN
Source
Digital Image Processing, Vol 5, No 9 (2013), Pagination: 435-440Abstract
Segmenting out foreground object from its background is an interesting and important research problem in the video based applications. It has more importance in the field of computer vision due to its applications such as sports, security systems, video surveillance, etc. The background subtraction algorithms are used to analyze the player‟s activity in sports, to improve the performance of player by detecting the motion of the players in video sequences. The various algorithms like frame difference, approximate median, mixture of gaussian are compared and analyzed with real time sports videos. Mixture of Gaussian turns out to be best in reliability of extraction of moving objects, robust to noise, whereas the conventional algorithms result in noise and poor extraction of objects. The parametric analyzes of metric such as recall, precision, etc., gives the complete behavior of player.Keywords
Approximate Median, Frame Difference, Mixture of Gaussian, Motion Detection.- Enhancement of Iris Biometric Recognition System Using Cryptography and Error Correction Codes – A Review
Abstract Views :161 |
PDF Views:3
Authors
Affiliations
1 AVC College of Engineering, Mannmpamdal, Mayiladuthurai, IN
2 Department of Electronics and Communication Engineering, AVC College of Engineering, Mannmpamdal, Mayiladuthurai, IN
3 AVC College of Engineering, IN
1 AVC College of Engineering, Mannmpamdal, Mayiladuthurai, IN
2 Department of Electronics and Communication Engineering, AVC College of Engineering, Mannmpamdal, Mayiladuthurai, IN
3 AVC College of Engineering, IN
Source
Biometrics and Bioinformatics, Vol 4, No 7 (2012), Pagination: 273-278Abstract
The Main challenge on iris and most biometric identifier’s is the user variability in the acquired identifiers. The Iris of the same person captured in different time may differ due to the signal noise of the environment or the iris camera. In Error Correction Code, ECC is introduced to reduce the variability and noise of the iris data. To find best system performance, This paper reviews an approach is tested using 2 different distance metric measurement functions for the iris pattern matching identification process which are Hamming Distance and Weighted Euclidean Distance. An experiment with the CASIA version 1.0 iris database indicates that results can assure a higher security with a false acceptance rate (FAR).
Keywords
CASIA, ECC, FAR.- Studies on Degradation of Chlorobenzene by Immobilized Crude Extract of Nocardia hydrocarbonoxydans
Abstract Views :191 |
PDF Views:1
Authors
Affiliations
1 Deptt. of Chemical Engineering, National Institute of Technology, Tiruchirappalli-620 015, T.N., IN
1 Deptt. of Chemical Engineering, National Institute of Technology, Tiruchirappalli-620 015, T.N., IN
Source
Nature Environment and Pollution Technology, Vol 7, No 1 (2008), Pagination: 1-6Abstract
In this work Nocardia hydrocarbonoxydans has been identified as potential organism to decompose chlorobenzene by its crude extract through immobilization technique. Nocardia hydrocarbonoxydans was grown on chlorobenzene as a sole source of carbon and energy. Chlorobenzene was used as an inducer to develop specific intracellular enzymes which will decompose chlorobenzene to nontoxic substance. Crude extracts of the cell contain intracellular enzyme, which were immobilized on sodium alginate beads. The beads were mixed with different concentrations (200, 250, 300 ppm) of chlorobenzene to study the kinetics of degradation of chlorobenzene. The rate of decomposition of chlorobenzene by immobilized crude extracts was measured at different time intervals and it was found that 86 to 96 percent of chlorobenzene can be decomposed in less than ten minutes. The immobilized crude extracts were reused for all other experiments and found that immobilization technique can be used for higher capacity conversion for scale up process.Full Text
- A Comparative Study on Biodegradation of Chlorobenzene by Pseudomonas aeruginosa, Nocardia hydrocarboxydanse and Mycoplanadimorpha
Abstract Views :294 |
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Authors
Affiliations
1 Deptt. of Chemical Engineering, National Institute of Technology, Tiruchirappalli-620 015, T.N., IN
1 Deptt. of Chemical Engineering, National Institute of Technology, Tiruchirappalli-620 015, T.N., IN
Source
Nature Environment and Pollution Technology, Vol 6, No 3 (2007), Pagination: 399-406Abstract
Microorganisms have the ability to conform to a variety of environmental conditions. Their versatility makes them useful for various biotechnological applications. One such application is the use of microorganisms for removal of pollutants from the environment, called bioremediation. The first goal of the present work was to identify a microorganism which could grow on the model pollutant monochlorobenzene. The microbes used for degradation are Pseudomonas aeruginosa, Nocardia hydrocarboxydanse, and Mycoplana dimorpha.The batch-wise degradation is carried out on a laboratory scale using monochlorobenzene (MCB) as a substrate. The pH and temperature were maintained at 7.0 and 30°C throughout the experiment. The degradation was studied at various substrate concentrations (100, 200, 500 ppm.). Following a 2-5 hr post-treatment lag phase, degradation of the substrate occurred within 48 h.Various factors such as inocula, concentration of chlorinated aromatic hydrocarbons (CAHs), pH, temperature, presence of co-substrates and the type of carbon source used influenced the degradation of CAHs in shake flasks. Results show that the degradation was highest at an initial concentration of 200 ppm of MCB by Pseudomonas aeruginosa. Results also show that when the substrate concentration was increased to 500 ppm, the degradation became slower.Full Text
- Screening of Antifouling Compound Producing Marine Actinobacteria against Biofouling Bacteria Isolated from Poultries of Namakkal District, South India
Abstract Views :180 |
PDF Views:6
Authors
Affiliations
1 Research Department of Microbiology, Bharathidasan University Constituent College, Kurumbalur - 621107, Perambalur District, Tamilnadu, IN
1 Research Department of Microbiology, Bharathidasan University Constituent College, Kurumbalur - 621107, Perambalur District, Tamilnadu, IN
Source
Research Journal of Science and Technology, Vol 8, No 2 (2016), Pagination: 83-89Abstract
Growth of biofouling microorganisms in surfaces of poultry, marine and other ecosystems is one of the major issues. Thus it is essential to control the growth of biofouling bacterial growth in surface of biological ecosystem. The present study has aimed to isolate novel antifouling compound from marine actinobacterial isolates. A total of 55 actinobacteria were isolated from Palk Strait coastal region (Bay of Bengal), Tamilnadu, India. All of them were preliminarily screened for their antifouling activity against six different biofouling bacterial (BFB) species isolated from poultry farms by cross streak plate method. Among them, 20 isolates possessed antibacterial activity against biofouling bacteria. From the 20 antifouling compound producers, 10 actinobacterial isolates were selected for further confirmation of antifouling compound production and their antifouling efficacies by shake flask culture method. Of them, one potential strain VS6 was found to be more active against all the six BFB. Thus, the result of the present study represents that the coastal areas of Tamil Nadu are rich in antifouling compound producing actinobacteria.Keywords
Palk Strait Coast, Marine Actinobacteria, Poultry, Antifouling Activity.- Transformation of Tobacco (Nicotiana tabaccum) with cry2AX1 Gene and Analysis of Transgenic Plants
Abstract Views :160 |
PDF Views:0
Authors
R. Manikandan
1,
P. Kanimozhi
1,
N. Balakrishnan
1,
V. Balasubramani
1,
D. Sudhakar
1,
V. Udayasuriyan
1
Affiliations
1 Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
1 Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
Source
International Journal of Forestry and Crop Improvement, Vol 7, No 1 (2016), Pagination: 79-85Abstract
A novel synthetic cry2AX1 gene was codon optimized and a sequence encoding cotton rbcS1b transit peptide was fused upstream of coding sequence. The fusion cry2AX1 gene, driven by maize ubiquitin1 promoter was cloned in a pUH plant transformation vector. Agrobacterium mediated transformation was carried out with pUH-ctp-2AX1 construct using leaf discs of tobacco as model plant. Screening by PCR revealed presence of cry2AX1 gene in all nine putative transformants and expression of cry2AX1 protein in PCR positive T0 tobacco plants ranged from 1.5 to 10.0 ng/g. The detached leaf bit bioassay of tobacco transformants with Helicoverpa armigera showed 30 per cent mortality even at lower level of cry2AX1 expression. The results indicated a newly developed construct was functionally expressed in tobacco plant.Keywords
Tobacco, Transformation, Insect Resistance, Helicoverpa armigera.- Rediscovery and Lectotypification of Drypetes porteri (Putranjivaceae: Phyllanthoideae: Drypeteae), A Narrow Endemic and Endangered Species of the Western Ghats, India
Abstract Views :278 |
PDF Views:147
Authors
Affiliations
1 Botanical Survey of India, Southern Regional Centre, Lawley Road Post, TNAU Campus, Coimbatore – 641 003, Tamil Nadu, IN
1 Botanical Survey of India, Southern Regional Centre, Lawley Road Post, TNAU Campus, Coimbatore – 641 003, Tamil Nadu, IN
Source
Nelumbo - The Bulletin of the Botanical Survey of India, Vol 60, No 1 (2018), Pagination: 10-12Abstract
Drypetes porteri (Gamble) Pax & K. Hoffm. is rediscovered after type collection (121 years) from type locality from Megamalai Wildlife Sanctuary, southern Western Ghats, Tamil Nadu, India. Lectotypification, brief description amended with fruit morphology and colour photographs are provided here for easy identification.Keywords
Drypetes, Endemic, Lectotype, Megamalai.Full Text
References
- CHAKRABARTY T. AND N.P. BALAKRISHNAN 2012. Drypeteae (Griseb.) Hurus. In: Balakrishnan, N.P. Chakrabarty, T., Sanjappa, M., Lakshminarasimhan, P., Singh, P. (eds.), Flora of India. vol. 23. Botanical Survey of India: Kolkata, 391–405.
- CHAKRABARTY T, M. GANGOPADHYAY AND N.P. BALAKRISHNAN 1997. The genus Drypetes (Euphorbiaceae) in the Indian subcontinent. Journal of Economic and Taxonomic Botany 21 (2): 251–280.
- FORSTER P.I. 1997. A taxonomic revision of Drypetes Vahl. (Euphorbiaceae) in Australia Austrobaileya 4(4): 477−494.
- GAMBLE J.S. 1901. Hemicylea porteri, Euphorbiaceae, Tribe Phyllantheae. Hooker’s Icon. Pl. 28: t. 2701. 1901 GAMBLE J.S. 1925. Flora of the Presidency of Madras. Adlardand Sons, London, 2: 910.
- IUCN 2014. Standards and Petitions Subcommittee Guidelines for Using the IUCN Red List Categories and Criteria. Version 11. Prepared by the Standards and Petitions Subcommittee. www.iucnredlist.org/documents/RedListGuidelines.pdf (20-03-2018)
- KRISHNA G, K. KARTHIGEYAN, W. ARISDASON AND T. CHAKRABARTY 2017. A new species of Drypetes (Putranjivaceae/Euphorbiaceaes. S.l.) from West Bengal, India. Phytotaxa 319(3): 271–276. http://dx.doi.org/10.11646/phytotaxa.319.3
- LEVIN G.A. 2013. A synopsis of the New World species of Drypetes section Drypetes (Putranjivaceae) with asymmetrical fruits, including description of a new species. PhytotKeys 29: 75–87. https://doi.org/10.3897/ phytokeys.29.6004
- MATHEW S.P. AND T. CHAKRABARTY 1990. A new Drypetes Vahl (Euphorbiaceae) from South Andaman Island. Journal of Economic and Taxonomic Botany 14(3): 623–625.
- MCNEILL J, F.R. BARRIE, W.R. BUCK, V. DEMOULIN, W. GREUTER, D.L. HAWKSWORTH, P.S. HERENDEEN, S. KNAPP, K. MARHOLD, J. PRADO, W.F. PRUD’HOMME VAN REINE, G.F. SMITH, J.H. WIERSEMA AND N.J. TURLAND 2012. International Code of Nomenclature for algae, fungi, and plants. Melbourne Code. Adopted by the Eighteenth International Botanical Congress Melbourne, Australia, July 2011 [Regnum Vegetabile 154]. Gantner, Ruggell. 240.
- PAX F. AND K. HOFFMANN 1922. EuphorbiaceaePhyllanthoideae-Phyllantheae. In: Engler, A.G.H. & Prantl, (eds.), Das Pflanzenreich, IV, 147 XV (Heft 81). Wilhelm Engelmann, Berlin. 1–349
- VAHL M. 1807. Eclogaeamericanae, seu, scriptiones plantarum praesertim Americaemeridionalis, nondumcognitarum. Impensis Auctoris, Havniae. 49
- WEBSTER G.L. 1994. Synopsis of the genera and suprageneric taxa of Euphorbiaceae. Annals of the Missouri Botanical Garden. 81: 33–144.
- Impact of Paper Industrial Pollution:A Case Study from Moolimangalam Village in Karur District, Tamil Nadu
Abstract Views :263 |
PDF Views:120
Authors
Affiliations
1 Department of Economics, Bharathiar University, Coimbatore – 641046, Tamil Nadu, IN
1 Department of Economics, Bharathiar University, Coimbatore – 641046, Tamil Nadu, IN
Source
Indian Journal of Economics and Development, Vol 7, No 3 (2019), Pagination: 1-7Abstract
Objectives: This study investigates the economic and environmental impact of paper industrial pollution on rural communities in general and on agricultural production, human health in particular.
Methods/Statistical Analysis: Both primary and secondary data were collected for this study. A Case study method is followed. Moolimangalam village of Karur District, Tamil Nadu, and India has been chosen for this study. This village is located nearby Tamilnadu Newsprint and Papers Limited (TNPL). 30 samples from small farmers and medium farmers have been chosen randomly. The secondary data collected form TNPL, production, usage of water, effluent discharged, volume of waste water treated and other relevant data collected and analysed.
Findings: According to this study, 73.7% of small farmers and 90.9 percent of medium farmers claimed that their human health is affected by Industrial pollution. Majority of farmers said that the change their cropping patter due to industrial pollution.
Application/Improvements: The pollution level of TNPL is under check. However, constrained to state that there are damages caused by the environmental pollution in the surrounding of TNPL.
Keywords
Industrial Pollution, Paper Industry, Tamil Nadu.Full Text
References
- B. Bhagirath, V.R. Retty. Environmental and accountability impact of industrial pollution on rural communities. Economic and Political Weekly. 2002; 37(3), 257-265.
- K.V. Sastry, V. Shukla, S. Abusaria. Impact assessment of industrial pollution of ground water. Journal of Environmental Protection. 2003; 23(3), 250-255.
- O.B. Akpor. Wastewater effluent discharge: effects and treatment processes. 3rd International Conference on Chemical, Biological and Environmental Engineering. 2011; 20, 1-7.
- M.C. Monte, E. Fuente, A. Blanco, C. Negro. Waste management from pulp and paper production in the European Union. Waste Management.2009; 29(2), 293-308.
- M.N. Murty, A.J. James, S.Misra. Economics of water pollution: the Indian experience. Business and Economics. Oxford University Press, New Delhi. 1999; 1-295.
- G.A. Body, J.D. Mcclelland. The impact of environmental constraints on productivity improvement in integrated paper plants. Journal of Environmental Economics and Management. 1999; 38(2), 121-142.
- Tamil Nadu Newsprint and Papers Limited, Annual Repot, 2006-2017. http://www.tnpl.com/web_pdf_files/TNPL_AnnualReport-2016-17.pdf. Date accessed: 19/09/2017.
- Determinants of Consumption of Water In Rural Areas: A Case Experience from Coimbatore District
Abstract Views :174 |
PDF Views:0
Authors
R. Manikandan
1,
S. Boopathi
1
Affiliations
1 Department of Economics, Bharathiar University, Coimbatore – 641046, Tamil Nadu, IN
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.
- Taylor Based Grey Wolf Optimization Algorithm (TGWOA) For Energy Aware Secure Routing Protocol
Abstract Views :249 |
PDF Views:4
Authors
Affiliations
1 Department of Management, Sekolah Tinggi Ilmu Manajemen Sukma, Medan, ID
2 Department of Computer Science, Sri Aravindar Engineering College, Villupuram, Tamil Nadu, IN
3 Department of Computer Science, Sri Malolan College of Arts and Science, Kanchipuram, Tamil Nadu, IN
4 Maruthi Technocrat E Services, Chennai, Tamil Nadu, IN
5 School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, IN
1 Department of Management, Sekolah Tinggi Ilmu Manajemen Sukma, Medan, ID
2 Department of Computer Science, Sri Aravindar Engineering College, Villupuram, Tamil Nadu, IN
3 Department of Computer Science, Sri Malolan College of Arts and Science, Kanchipuram, Tamil Nadu, IN
4 Maruthi Technocrat E Services, Chennai, Tamil Nadu, IN
5 School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, IN
Source
International Journal of Computer Networks and Applications, Vol 7, No 4 (2020), Pagination: 93-102Abstract
Wireless Sensor Network (WSN) design to be efficient expects better energy optimization methods as nodes in WSN are operated only through batteries. In WSN, energy is a challenging one in the network during transmission of data. To overcome the energy issue in WSN, Taylor based Grey Wolf Optimization algorithm proposed, which is the integration of the Taylor series with Grey Wolf Optimization approach finding optimal hops to accomplish multi-hop routing. This paper shows the multiple objective-based approaches developed to achieve secure energy-aware multi-hop routing. Moreover, secure routing is to conserve energy efficiently during routing. The proposed method achieves 23.8% of energy, 75% of Packet Delivery Ratio, 35.8% of delay, 53.2% of network lifetime, and 84.8% of scalability.Keywords
Taylor Series, Grey Wolf Optimization, Multi-hop Routing, Energy Efficiency, SecurityFull Text
References
- Deepti Gupta, “Wireless Sensor Networks ‘Future trends and Latest Research Challenges’”, IOSR Journal of Electronics and Communication Engineering, vol. 10, no. 2,pp.41-46, 2015.
- Khalaf, Osamah Ibrahim, and Bayan Mahdi Sabbar. "An overview on wireless sensor networks and finding optimal location of nodes", Periodicals of Engineering and Natural Sciences, vol.7, no. 3, pp: 1096-1101, 2019.
- Amruta Lipare, Damodar Reddy Edla, VenkatanareshbabuKuppili, “Energy efficient load balancing approach for avoiding energy hole problem in WSN using Grey Wolf Optimizer with novel fitness function”, Elsevier, Applied Soft Computing Journal,vol. 84, no. 105706, 2019.
- Gupta V., Pandey R.,“An improved energy aware distributed unequal clustering protocol for heterogeneous wireless sensor networks”, International journal of Engineering Science and Technology, vol. 19, pp:1050–1058, 2016.
- Osamah Ibrahim Khalaf,GhaidaMuttasharAbdulsahib And Bayan Mahdi Sabbar, “Optimization of Wireless Sensor Network Coverage using the Bee Algorithm”, Journal of Information Science And Engineering, vol. 36, pp.377-386, 2020.
- M. Lehsaini, H. Guyennet, and M. Feham, “An efficient cluster-based self-organisation algorithm for wireless sensor networks,” International Journal of Sensor Networks, vol. 7, no. 1-2, pp. 85–94, 2010.
- Qingjian Ni, Qianqian Pan, Huimin Du, Cen Cao and YuqingZhai, “A Novel Cluster Head Selection Algorithm Based On Fuzzy Clustering and Particle Swarm Optimization”, IEEE/ACM Transactions on Computational Biology and Bioinformatics,vol. 10, pp:76-84, 2017.
- S.Murugan, S.Jeyalaksshmi, B.Mahalakshmi, G.Suseendran, T.NusratJabeen,R.Manikandan, “Comparison of ACO and PSO algorithm using energy consumption and load balancing in emerging MANET and VANET infrastructure”, JCR, vol. 7, no. 9, pp: 1197-1204, 2020.
- R. Elkamel, A. Cherif, R. Elkamel, A. Cherif, R. Elkamel, A. Cherif, “Energy-efficient routing protocol to improve energy consumption in wireless sensors networks: energy efficient protocol in WSN”, International Journal of Communication System, Vol. 30, no. 6, 2017.
- Sabor N., Abo-Zahhad M., Sasaki S., Ahmed S.M, “An unequal multi-hop balanced immune clustering protocol for wireless sensor networks”, Journal of Applied Soft Computing, vol. 43, pp:372–389, 2016.
- Wang Ke, OuYangrui, Ji Hong, Zhang Heli, Li Xi, “Energy aware hierarchical cluster-based routing protocol for WSNs”, The Journal of China Universities of Posts and Telecommunications,vol. 23, no. 4, pp: 46-52, 2016.
- Mohan, R., Ananthula, V.R., “Reputation-based secure routing protocol in mobile ad-hoc network using Jaya Cuckoo optimization”, International Journal of Modeling, Simulation, Science Computing, vol. 10, no. 3, 2019.
- Cengiz, K., Dag, T.,“Energy aware multi-hop routing protocol for WSNs”,IEEE Access,vol. 6, pp. 2622–2633, 2018.
- Shende, D. K., &Sonavane, S. S., “CrowWhale-ETR: CrowWhale optimization algorithm for energy and trust aware multicast routing in WSN for IoT applications”, Springer Wireless Networks, pp. 1-9,2020.
- Sampathkumar, A,Mulerikkal, J., &Sivaram, M., “Glowworm swarm optimization for effectual load balancing and routing strategies in wireless sensor networks”, Springer Wireless Networks, vol. 21, pp. 1-12,2020.
- Mohan, R., Reddy, A.V., “T-Whale: trust and whale optimization model for secure routing in mobile Ad-Hoc network”, International Journal of Artificial Life Research (IJALR), vol. 8, no. 2, pp: 67–79, 2018.
- Ch, Ram & A, Venugopal, “M-LionWhale: Multi-objective optimization model for secure routing in mobile Ad-hoc network”, IET Communications, vol. 12, pp. 1-7, 2018.
- Kumar, R., Kumar, D., & Kumar, D., “EACO and FABC to multi-path data transmission in wireless sensor networks”, IET Communications, vol. 11, no. 4, pp. 522–530, 2017.
- Rajeev Kumar and Dilip Kumar, “Hybrid Swarm Intelligence Energy Efficient Clustered Routing Algorithm for Wireless Sensor Networks”,Hindawi journal of sensors, Article ID 5836913, pp. 1-19, 2016.
- P. Kuila, P.K. Jana, “Energy efficient clustering and routing algorithms for wireless sensor networks: Particle swarm optimization approach”, Engineering Applications Artificial Intelligence, Vol. 33, pp. 127–140, 2014.
- R. Pachlor, D. Shrimankar, “VCH-ECCR: a centralized routing protocol for wireless sensor networks”,Journal of Sensor, vol.1, pp. 1–10, 2017
- Srbinovska, M., Cundeva-Blajer, M., Optimization Methods for Energy Consumption Estimation in Wireless Sensor Networks, Journal of Sustainable Development of Energy, Water and Environment Systems, vol. 7, no. 2, pp 261-274, 2019
- Carolina Del-Valle-Soto , Carlos Mex-Perera , Juan Arturo Nolazco-Flores, Ramiro Velázquez and Alberto Rossa-Sierra, “Wireless Sensor Network Energy Model and Its Use in the Optimization of Routing Protocols”, Journal of Energies, vol. 13, no. 728, 2020.
- Trupti Mayee Behera, Sushanta Kumar Mohapatra, Umesh Chandra Samal, Mohammad. S. Khan, Mahmoud Daneshmand, and Amir H. Gandomi, “Residual Energy Based Cluster-head Selection in WSNs for IoT Application”, IEEE Internet of Things Journal,vol.6, no.3, pp. 5132-5139, 2019.
- Zhao, L., Qu, S. & Yi, Y. “A modified cluster-head selection algorithm in wireless sensor networks based on LEACH”, Journal of Wireless Communication Network, vol. 1, no. 287, 2018.
- Classification of Cervical Cancer in Women Using Convolutional Neural Network
Abstract Views :168 |
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Authors
Affiliations
1 Department of Computer Science and Engineering, Gnanamani College of Technology, IN
2 Department of Computer Science, The Quaide Milleth College for Men, IN
3 Department of Mechanical Engineering, Rathinam Technical Campus, IN
4 Department of Computer Science and Engineering, Sri Eshwar College of Engineering, IN
5 Department of Computer Science, Cork Institute of Technology, IE
1 Department of Computer Science and Engineering, Gnanamani College of Technology, IN
2 Department of Computer Science, The Quaide Milleth College for Men, IN
3 Department of Mechanical Engineering, Rathinam Technical Campus, IN
4 Department of Computer Science and Engineering, Sri Eshwar College of Engineering, IN
5 Department of Computer Science, Cork Institute of Technology, IE
Source
ICTACT Journal on Image and Video Processing, Vol 11, No 4 (2021), Pagination: 2470-2474Abstract
Cervical cancer is regarded as a serious threats to humanity, globally and this is a vital disease with huge spreading of virus that affects the health of humans. The virus is spreading at a rapid rate through mosquitoes that even may kill the one who is affected with cervical cancer. In this paper, we develop a quick response system that certainly finds the disease through a faster validation process. The study uses Convolutional Neural Network (CNN) as a deep learning model that classifies and predicts the condition or the infection status of a patient. The study uses a pre-processing model and a feature extraction model to prepare the image datasets for classification. The simulation is conducted to validate the effectiveness of the model over cervical cancer image datasets i.e. the blood samples of humans. The validation shows that the proposed method effectively classifies the patients in a faster manner than the other deep learning models.Keywords
Machine Learning, Cervical Cancer, Classification, Diagnosis.References
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- Rediscovery of Senecio kundaicus (Asteraceae), a Critically Endangered and Stenoendemic Species from Nilgiri Biosphere Reserve, India
Abstract Views :340 |
PDF Views:144
Authors
Affiliations
1 Botanical Survey of India, Southern Regional Centre, TNAU Campus, Lawley Road, Coimbatore – 641 003, Tamil Nadu, IN
1 Botanical Survey of India, Southern Regional Centre, TNAU Campus, Lawley Road, Coimbatore – 641 003, Tamil Nadu, IN
Source
Nelumbo - The Bulletin of the Botanical Survey of India, Vol 63, No 2 (2021), Pagination: 28-31Abstract
Senecio kundaicus C.E.C. Fisch. (Asteraceae), a critically endangered and stenoendemic species has been rediscovered from Mukurthi National Park, a part of Nilgiri Biosphere Reserve, Tamil Nadu, India, after its type collection from Kundahs in Nilgiris by P.V. Mayuranathan in 1928, after a gap of 93 years. Nomenclature, detailed description, threat status and photo plate of the species are provided here for its easy identification.Keywords
Mukurthi National Park, Nilgiris, Recollection, Southern Western Ghats, Tamil Nadu.Full Text
- IRIS Detection For Biometric Pattern Identification Using Deep Learning
Abstract Views :100 |
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Authors
Affiliations
1 Department of Computer Science and Engineering, HKBK College of Engineering, IN
2 Department of Computer Science and Engineering, Presidency University, IN
3 Department of Computer Science, The Quaide Milleth College for Men, IN
4 Department of Electronics and Telecommunications Engineering, University of Technology and Applied Sciences, OM
1 Department of Computer Science and Engineering, HKBK College of Engineering, IN
2 Department of Computer Science and Engineering, Presidency University, IN
3 Department of Computer Science, The Quaide Milleth College for Men, IN
4 Department of Electronics and Telecommunications Engineering, University of Technology and Applied Sciences, OM
Source
ICTACT Journal on Image and Video Processing, Vol 12, No 2 (2021), Pagination: 2610-2614Abstract
In this paper, we develop a liveness detection of iris present in the study to reduce various spoofing attacks using gray-level co-occurrence matrix (GLCM) and Deep Learning (DL). The input images of iris are been given to this technique for the extraction of texture and colour features with fine details. The details are fused finally and given to a DL classifier for the classification of liveness detection. The simulation is conducted to test the efficacy of the model and the results of simulation shows that the proposed method achieves higher level of accuracy than existing methods.Keywords
Iris Detection, Pattern Identification, Liveness Detection, Biometric, Deep LearningReferences
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- Mathematical Morphology based Digital Image Enhancement Processing with Cross Separate Boundary Objects
Abstract Views :106 |
PDF Views:1
Authors
Affiliations
1 Department of Computer Science, The Quaide Milleth College for Men, IN
2 Indian Institute of Information Technology, Kalyani, IN
3 Department of Master of Science in Computing, University of Northampton, GB
1 Department of Computer Science, The Quaide Milleth College for Men, IN
2 Indian Institute of Information Technology, Kalyani, IN
3 Department of Master of Science in Computing, University of Northampton, GB
Source
ICTACT Journal on Image and Video Processing, Vol 12, No 4 (2022), Pagination: 2699-2703Abstract
In computer science, digital image processing is the use of computer algorithms to perform image processing on digital images. The Image processing as a subgroup or background of digital signal processing has many advantages over analog image processing. The Digital image processing allows the use of a wide range of algorithms for input data and avoids problems such as noise accumulation and signal distortion during the processing process. Because images are defined in two dimensions (perhaps more than two dimensions), image processing can be formatted into multi-dimensional systems. In this paper an effective Mathematical morphology model was proposed to enhance the quality of images. In this mode, the image is pre-processed and then the gradient is changed using a mathematical image system. Then, the edges are detected by the margin detection method based on the statistical data. This method removes the shadow contours caused by the lights, directly separates the boundaries of the objects and has an impact on the background noise suppression.Keywords
Digital Image Processing, Computer Algorithms, Digital Images, Mathematical MorphologyReferences
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