Refine your search
Co-Authors
Journals
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
Reddy, C. S.
- A Model of Prison Expenditure and Optimal Punishment
Abstract Views :570 |
PDF Views:1
Authors
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 34, No 4 (1992), Pagination: 406-418Abstract
We defined Net Social Gain (NSG) which is a function of probability of capture (p) and length of punishment (f) We identified certain equilibrium and disequilibrium structures by maximizing NSG with respect to p and f separately and hence optimal punishment is determined. The nature of Marginal Social Loss (MSL) and Marginal Social Gain (MSG) curves has been narrated, under equilibrium and disequilibrium states. A relationship between elasticities of Total Social Loss (TSL) and Total Social Gain (TSC) with respect to punishment is established.- Stochastic Scheduling Algorithm for Distributed Cloud Networks using Heuristic Approach
Abstract Views :143 |
PDF Views:2
Authors
Affiliations
1 Department of Mathematics, GITAM University, Bangalore, IN
2 School of Computing, SASTRA University, Thanjour, IN
1 Department of Mathematics, GITAM University, Bangalore, IN
2 School of Computing, SASTRA University, Thanjour, IN
Source
International Journal of Advanced Networking and Applications, Vol 8, No 1 (2016), Pagination: 3009-3013Abstract
Rule based heuristic scheduling algorithms in real time and cloud computing Systems employ for resource or task scheduling since they are suitable to implement for NP-complete problems. However, they are simple but there is much room to improve these algorithms. This study presents a heuristic scheduling algorithm, called High performance hyper-heuristic scheduling algorithm (HHSA) using detection operator, to find better scheduling solutions for real and cloud computing systems. The two operators - diversity detection and improvement detection operators - are employed in this algorithm to determine the timing to determine the heuristic algorithm.. These two are employed to dynamically determine a low level heuristic that can be used to find better solution. To evaluate the performance of this method, authors examined the above method with several scheduling algorithms and results prove that Hyper Heuristic Scheduling Algorithm can significantly decrease the makespan of task scheduling when compared with all other scheduling algorithms. A novel high-performance hyper-heuristic algorithm is proposed for scheduling on cloud computing systems to reduce the makespan. This algorithm can be applied to both sequence dependent and sequence independent scheduling problems.Keywords
Heuristic Algorithm, Scheduling Tasks, Cloud Computing, Diversity Detection.- Quality and Sustainability of Self-Help Groups in Bihar and Odisha-A Comparative Analysis
Abstract Views :173 |
PDF Views:0
Authors
Affiliations
1 APMAS, Hyderabad, IN
2 APMAS and President of Sadhikaratha Foundation, Hyderabad, IN
3 Research and Advocacy Team, APMAS, Hyderabad, IN
1 APMAS, Hyderabad, IN
2 APMAS and President of Sadhikaratha Foundation, Hyderabad, IN
3 Research and Advocacy Team, APMAS, Hyderabad, IN
Source
The Microfinance Review, Vol 7, No 1 (2015), Pagination: 78-86Abstract
A comparative study of SHG-Bank Linkage Programme in Bihar and Odisha shows that the number of SHGs savings linked to banks are almost double in Odisha when compared to Bihar. The Government and NGOs are the major SHPIs in both the States. With regard to access to bank linkage and impact, the SHGs in Odisha seem to have fared better as compared to Bihar SHGs. The most urgent need is to focus on consolidating the efforts to improve the quality of the SHGs and strengthening the SHG federation system in line with the NRLM implementation strategy.Keywords
SHG Movement, Microfinance, Self-Help Promoting Institutions.- SHG1 Federation2, an Institutional Innovation to Sustain SHGs
Abstract Views :198 |
PDF Views:0
Authors
Affiliations
1 APMAS, Hyderabad, IN
1 APMAS, Hyderabad, IN
Source
The Microfinance Review, Vol 4, No 1 (2012), Pagination: 17-32Abstract
To address limitations of small informal SHGs, to achieve economies of scale and to sustain SHGs, the institutional innovation called SHG federation has been evolved. There are 1,63,730 SHG federations in India, most of them being primary level SHG federations functioning at village level. Majority of these federations are in the southern and eastern India. Rapid scale up of the SHG federations has been possible with the proactive role played by the State Governments implementing programmes supported by multi-lateral agencies. National Rural Livelihoods Mission plans to scale up SHG federations to all the villages of India following a saturation approach. SHG federations have gained widespread recognition among all the major stakeholders as institutions that promote financial inclusion and enable member SHGs to serve their women members more effectively. Greater attention is needed for improving the governance and systems of the SHG federations to become self-reliant and sustainable. For the SHG federation model to fully serve its purpose, promoters' capacity needs to be enhanced and appropriate legal forms need to be available. There is considerable potential for the SHG federations to evolve into "SHG banks" to serve as bridge-financing agencies to augment SHG-bank linkage. SHG federations will have to play the role of self-regulatory organisations.Keywords
SHG, Microfinance JEL.- Impact of Self-Help Groups on Member Households: A Study with Reference to SHG-Bank Linkage Programme
Abstract Views :446 |
PDF Views:1
Authors
K. Raja Reddy
1,
C. S. Reddy
2
Affiliations
1 Development Research Consultant, IN
2 APMAS, Hyderabad, IN
1 Development Research Consultant, IN
2 APMAS, Hyderabad, IN
Source
The Microfinance Review, Vol 10, No 1 (2018), Pagination: 1-12Abstract
This paper aims to understand the impact of Self-Help Group-Bank Linkage Programme (SHG-BLP) on SHG members’ households, using a sample of 864 SHG members from 432 SHGs drawn from 40 blocks in 12 districts of Andhra Pradesh, Assam, Karnataka, Maharashtra, Odisha and Uttar Pradesh. It finds that SHGs have brought about a significant change in the lives of their members at the household level. The members have opened individual savings bank accounts and most household savings are with banks. Majority of the households owe a significant portion of their debts to SHGs. The SHG member households have procured an array of assets using SHG loans. Of all the assets, livestock is predominant, followed by agriculture machinery and housing. The households have benefitted in multiple ways such as, improvement in household income, more work to household members, repayment of highcost old debts, improvement in children’s education and health of family members.Keywords
Self-Help Group-Bank Linkage Programme, Household Savings.References
- Narang, U (2012): “Impact of Self- Help Groups Bank Linkage Programme in India”, International Journal of Trade & Commerce, Vol. 1, No. 2, pp.220-228.
- National Bank for Agriculture and Rural Development (2017): Status of Microfinance in India: 2016-17, NABARD, Mumbai.
- National Council for Applied and Economic Research (2008): Impact and Sustainability of SHG-BLP, NCAER, New Delhi.
- Praba K, and K Shanmugam (2015): “A Study on Evaluation of the Progress of Microfinance through Self-help Group Bank Linkage Model”, International Journal of Business and Administration Research Review, Vol. 3, No. 9, pp.25-32.
- Ramakrishna, H, Khaja M J, G G Saleema Bibi, and B Mallikarjuna (2013): “Performance of Self-Help Group-Bank Linkage Programme (SBLP) in India – An Analytical Study”, Tactful Tactful Management Research Journal, Vol. 1, No. 10, pp.1-6.
- Reddy K R and C S Reddy (2012): Self Help Groups in India – A Study on Quality and Sustainability, ENABLE Publications, Hyderabad.
- Sinha, Frances, Ajay T, K R Reddy and M Harper (2009): Microfinance Self Help Groups in India, Living Up to Their Promise?, Rawat Publications, Jaipur.
- Tankha, A (2012): Banking on Self Help Groups - Twenty Years, Sage Publications, New Delhi.
- UNDP (2016): Human Development Report of India, New Delhi.
- Characterization of Species Diversity and Forest Health using AVIRIS-NG Hyperspectral Remote Sensing Data
Abstract Views :231 |
PDF Views:86
Authors
C. S. Jha
1,
Rakesh
1,
J. Singhal
1,
C. S. Reddy
1,
G. Rajashekar
1,
S. Maity
2,
C. Patnaik
2,
Anup Das
2,
Arundhati Misra
2,
C. P. Singh
2,
Jakesh Mohapatra
2,
N. S. R. Krishnayya
3,
Sandhya Kiran
3,
Phil Townsend
4,
Margarita Huesca Martinez
5
Affiliations
1 National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 037, IN
2 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
3 MS University of Baroda, Vadodara 390 002, IN
4 University of Wisconsin, Madison 53706, US
5 University of California, Davis 95616, US
1 National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 037, IN
2 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
3 MS University of Baroda, Vadodara 390 002, IN
4 University of Wisconsin, Madison 53706, US
5 University of California, Davis 95616, US
Source
Current Science, Vol 116, No 7 (2019), Pagination: 1124-1135Abstract
Species diversity and vegetation health are two critical components to be monitored for sustainable forest management and conservation of biodiversity. The present study characterizes species dominance and α -diversity of a forest for the selected region in Mudumalai Wildlife Sanctuary (MWS), Western Ghats, which represents one of the most economically important forest types in India – the tropical dry deciduous forest. NASA’s Next-Generation Airborne Visible and Infrared Imaging Spectrometer (AVIRIS-NG) data at spectral resolution of 5 nm and spatial resolution of 5 m were used to analyse the forest matrix. Biodiversity (α -diversity) map thus generated from airborne platform over 14.5 sq. km area mostly represents the forest tree species diversity. Dominant tree species in the study area were also mapped using AVIRIS data for 21.7 sq. km. Canopy emergent dominant species, viz. Anogeissus latifolia, Tectona grandis, Terminalia alata, Grewia tiliifolia, Syzygium cumini and Shorea roxburghii were classified using spectral angle mapper technique and image-based spectra in the MWS study site. The study shows that nearly 40% area is dominated by A. latifolia and 27.5% by T. grandis in the study site. This study concludes that AVIRIS data can be used in the delineation of species and α -diversity mapping at community level; however, the accuracy achieved for species classification is moderate (60%) due to intermixing of species in the study area. For the Shimoga study site in Karnataka, the field spectra were collected using a spectroradiometer and used for the classification for the three dominant tree species using absorption peak decomposition technique. Fieldcollected pure spectra were analysed and species-wise absorption peaks (Gaussian) with central wavelength, peak amplitude and dispersion were used as the endmembers for classification. AVIRIS-NG data over Shoolpaneshwar Wildlife Sanctuary (SWS) study site used for fuel load estimation with narrow band indices calculated from AVIRIS-NG datasets. AVIRIS-NG data for MWS and Shimoga study site were collected during 2 and 5 January 2016, while for SWS site data were collected on 8 February 2016.Keywords
Airborne Sensors, Forest Health, Hyperspectral Imaging, Species Diversity.References
- Reddy, C. S., Jha, C. S., Diwakar, P. G. and Dadhwal, V. K., Nationwide classification of forest types of India using remote sensing and GIS. Environ. Monit. Assess., 2015, 187, 777.
- Reddy, C. S. et al., Quantification and monitoring of deforestation in India over eight decades (1930–2013). Biodivers. Conserv., 2016, 25, 93–116.
- Hansen, M. C. et al., Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data. Proc. Natl. Acad. Sci. USA, 2008, 105, 9439–9444.
- Clark, M. L. and Roberts, D. A., Species-level differences in hyperspectral metrics among tropical rainforest trees as determined by a tree-based classifier. Remote Sensing, 2012, 4, 1820–1855.
- Asner, G. P., Hyperspectral remote sensing of canopy chemistry, physiology, and biodiversity in tropical rainforests. In Hyperspectral Remote Sensing Trop. Sub-Trop. For. (eds Kalacska, M. and Sanchez-Azofeifa, G. A.), CRC Press, 2008, pp. 261–296.
- Clark, M. L., Identification of canopy species in tropical forests using hyperspectral data. In Hyperspectral Remote Sensing Veg. (eds Thenkabail, P. S. and Lyon, J. G.), CRC Press, 2016, p. 423.
- Cla Barret, E. C. and Curtis, L. F., Introduction to Environmental Remote Sensing, Chapman & Hall, London, 1992, 3rd edn.
- Ustin, S. L. et al., Retrieval of foliar information about plant pigment systems from high resolution spectroscopy. Remote Sensing Environ., 2009, 113, S67–S77.
- Asner, G. P., Biophysical and biochemical sources of variability in canopy reflectance. Remote Sensing Environ., 1998, 64, 234– 253.
- Gao, B.-C. and Goetz, A. F. H., Column atmospheric water vapor and vegetation liquid water retrievals from airborne imaging spectrometer data. J. Geophys. Res. – Atmos., 1990, 95, 3549– 3564.
- Kokaly, R. F., Asner, G. P., Ollinger, S. V., Martin, M. E. and Wessman, C. A., Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies. Remote Sensing Environ., 2009, 113, S78–S91.
- Milton, N. M. and Mouat, D. A., Remote sensing of vegetation responses to natural and cultural environmental conditions. Photogramm. Eng. Remote Sensing, 1989, 55(8), 1167–1173.
- Slaton, M. R., Hunt, E. R. and Smith, W. E., Estimating nearinfrared leaf reflectance from leaf structural characteristics. Am. J. Bot., 2001, 88(2), 278–284.
- Elvidge, C. D., Visible and near infrared reflectance characteristics of dry plant materials. Int. J. Remote Sensing, 1990, 11, 1775– 1795.
- Castro-Esau, K. L., Sánchez-Azofeifa, G. A., Rivard, B., Wright, S. J. and Quesada, M., Variability in leaf optical properties of Mesoamerican trees and the potential for species classification. Am. J. Bot., 2006, 93, 517–530.
- Zhang, J., Rivard, B., Sánchez-Azofeifa, A. and Castro-Esau, K., Intra- and inter-class spectral variability of tropical tree species at La Selva, Costa Rica: implications for species identification using HYDICE imagery. Remote Sensing Environ., 2006, 105, 129–141.
- Carlson, K. M., Asner, G. P., Hughes, R. F., Ostertag, R. and Martin, R. E., Hyperspectral remote sensing of canopy biodiversity in Hawaiian lowland rainforests. Ecosystems, 2007, 10, 536–549.
- Skoupý, O. et al., The use of hyperspectral remote sensing for mapping the age composition of forest stands. J. For. Sci., 2012, 58, 287–297.
- Christian, B. and Krishnayya, N. S. R., Classification of tropical trees growing in a sanctuary using hyperion (EO-1) and SAM algorithm. Curr. Sci., 2009, 96(12), 1601–1607.
- Mitri, G. H. and Gitas, I. Z., Mapping postfire vegetation recovery using EO-1 Hyperion imagery. IEEE Trans. Geosci. Remote Sensing, 2010, 48, 1613–1618.
- Vyas, D., Krishnayya, N. S. R., Manjunath, K. R., Ray, S. S. and Panigrahy, S., Evaluation of classifiers for processing hyperion (EO-1) data of tropical vegetation. Int. J. Appl. Earth Obs. Geoinf., 2011, 13, 228–235.
- Wu, C., Wang, L., Niu, Z., Gao, S. and Wu, M., Nondestructive estimation of canopy chlorophyll content using hyperion and landsat/TM images. Int. J. Remote Sensing, 2010, 31, 2159–2167.
- Thenkabail, P. S., Mariotto, I., Gumma, M. K., Middleton, E. M., Landis, D. R. and Huemmrich, K. F., Selection of hyperspectral narrowbands (HNBs) and composition of hyperspectral twoband vegetation indices (HVIs) for biophysical characterization and discrimination of crop types using field reflectance and Hyperion/EO-1 data. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sensing, 2013, 6, 427–439.
- Vyas, D., Christian, B. and Krishnayya, N. S. R., Canopy level estimations of chlorophyll and LAI for two tropical species (teak and bamboo) from hyperion (EO1) data. Int. J. Remote Sensing, 2013, 34, 1676–1690.
- Cho, M. A., Sobhan, I., Skidmore, A. K. and De Leeuw, J., Discriminating species using hyperspectral indices at leaf and canopy scales. Int. Arch. Photogramm. Remote Sensing Spat. Inf. Sci., 2008, 37.
- Sánchez-Azofeifa, G. A., Castro, K. L., Rivard, B., Kalascka, M. R. and Harriss, R. C., Remote sensing research priorities in tropical dry forest environments. Biotropica, 2003, 35, 134–142.
- Xiao, Q., Ustin, S. L. and McPherson, E. G., Using AVIRIS data and multiple-masking techniques to map urban forest tree species. Int. J. Remote Sensing, 2004, 25, 5637–5654.
- Williams, A. P. and Hunt Jr, E. R., Using AVIRIS imagery to map invasive plants on rangelands: leafy spurge in northeastern Wyoming; https://aviris.jpl.nasa.gov/proceedings/workshops/02_docs/2002_Parker_Williams_web.pdf
- Wessman, C. A., Aber, J. D., Peterson, D. L. and Melillo, J. M., Remote sensing of canopy chemistry and nitrogen cycling in temperate forest ecosystems. Nature, 1988, 335, 154.
- Asner, G. P., Jones, M. O., Martin, R. E., Knapp, D. E. and Hughes, R. F., Remote sensing of native and invasive species in Hawaiian forests. Remote Sensing Environ., 2008, 112, 1912– 1926.
- Goodenough, D. G., Bhogal, A. S., Dyk, A. and Hudson, D., Data fusion of remote sensing data for forest parameter estimation. In Proceedings of the Fourth International Airborne Remote Sensing Conference and Exhibition/21 Canadian Symposium on Remote Sensing, ERIM International Inc, United States, 1999, p. 1816.
- Gamon, J. A., Field, C. B., Roberts, D. A., Ustin, S. L. and Valentini, R., Functional patterns in an annual grassland during an AVIRIS overflight. Remote Sensing Environ., 1993, 44, 239–253.
- Cleland, E. E., Chuine, I., Menzel, A., Mooney, H. A. and Schwartz, M. D., Shifting plant phenology in response to global change. Trends Ecol. Evol., 2007, 22, 357–365.
- Morisette, J. T. et al., Tracking the rhythm of the seasons in the face of global change: phenological research in the 21st century. Front. Ecol. Environ., 2009, 7, 253–260.
- Wolkovich, E. M., Cook, B. I. and Davies, T. J., Progress towards an interdisciplinary science of plant phenology: building predictions across space, time and species diversity. New Phytol., 2014, 201, 1156–1162.
- Féret, J.-B. and Asner, G. P., Tree species discrimination in tropical forests using airborne imaging spectroscopy. IEEE Trans. Geosci. Remote Sensing, 2013, 51, 73–84.
- Clark, M. L., Roberts, D. A. and Clark, D. B., Hyperspectral discrimination of tropical rainforest tree species at leaf to crown scales. Remote Sensing Environ., 2005, 96, 375–398.
- Castro-Esau, K. L., Sánchez-Azofeifa, G. A. and Caelli, T., Discrimination of lianas and trees with leaf-level hyperspectral data. Remote Sensing Environ., 2004, 90, 353–372.
- Kalacska, M., Bohlman, S., Sanchez-Azofeifa, G. A., Castro-Esau, K. and Caelli, T., Hyperspectral discrimination of tropical dry forest lianas and trees: comparative data reduction approaches at the leaf and canopy levels. Remote Sensing Environ., 2007, 109, 406–415.
- Arroyo-Mora, J. P., Kalacska, M., Chazdon, R., Civco, D., Obando-Vargas, G. and Sanchun, A., Assessing Recovery following Selective Logging of Lowland Tropical Forests based on Hyperspectral Imagery, Taylor and Francis Group-CRC Press, Boca Raton, FL, USA, 2008.
- Féret, J.-B. and Asner, G. P., Mapping tropical forest canopy diversity using high-fidelity imaging spectroscopy. Ecol. Appl., 2014, 24, 1289–1296.
- Champion, H. G. and Seth, S. K., A revised survey of the forest types of India. Govt Publication, New Delhi, 1968.
- Joseph, S., Reddy, S. C., Pattanaik, C. and Sudhakar, S., Distribution of plant communities along climatic and topographic gradients in Mudumalia Wildlife Sanctuary (southern India). Biol. Lett., 2008, 45, 29–41.
- Thompson, R. D., Gao, B.-C., Robert, O. G., Roberts, D. A., Dennison, P. E. and Sarah, R. L., Atmospheric correction for global mapping spectroscopy: ATREM advances for the HyspIRI preparatory campaign. Remote Sensing Environ., 2015; ISSN 00344257, http://dx.doi.org/10.1016/j.rse.2015.02.010.
- Sims, D. A. and Gamon, J. A., Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sensing Environ., 2002, 81(2–3), 337–354.
- Kruse, F. A. et al., The spectral image processing system (SIPS) interactive visualization and analysis of imaging spectrometer data. Remote Sensing Environ., 1993, 44, 145–163.
- Shen, M., Tang, Y., Desai, A. R., Gough, C. and Chen, J., Can EVI-derived land-surface phenology be used as a surrogate for phenology of canopy photosynthesis? Int. J. Remote Sensing, 2014, 35, 1162–1174.
- D’Odorico, P. et al., The match and mismatch between photosynthesis and land surface phenology of deciduous forests. Agric. For. Meteorol., 2015, 214, 25–38.
- Scientific Trends and Role of Robots in the Agricultural Sector
Abstract Views :161 |
PDF Views:0
Authors
Affiliations
1 Department of Mathematics, GITAM University, Bangalore-561203, IN
2 Department of Computer Science, Sreenidhi Inst of Tech, Hyderabad, IN
3 Department of Mathematics, CIT –North Campus, Bangalore, IN
1 Department of Mathematics, GITAM University, Bangalore-561203, IN
2 Department of Computer Science, Sreenidhi Inst of Tech, Hyderabad, IN
3 Department of Mathematics, CIT –North Campus, Bangalore, IN
Source
International Journal of Advanced Networking and Applications, Vol 11, No 4 (2020), Pagination: 4345-4349Abstract
The agriculture sector is essential to implement the automation technology to growrapidly for better results and to produce crops for the requirement of the world population in the present scenario. Present existing technology and old mythologies and tools and types of machinery are not sufficient to achieve the targets. The enhanced technology and optimized energy utilization tools are straightaway to be adopted in the form of information technology machines that are more effective with old methods. The precision formation has revealed the advantages of machinery technology but needs to improve more for the next new equipment for the coming generations, which we call robotics technologies. The initiation of an autonomous system gives us a better prospect to build up a completely new variety of farming kits with the support of small elegant equipments like types of machinery which will do an accurate process, at the right time with the exact place, in the correct approach. A machine that contains an automatic control mechanism tracks the front running vehicle and follows, which has advantages of both vehicles that can be controlled and monitored effectively by a single driver in large farming sectors.Keywords
Agriculture Robots, Automation, Vehicle Control, Agricultural Sector, Vehicle Monitoring.- Multiprocessor Stochastic Model for Elastic Traffic with Different Service Capacity
Abstract Views :180 |
PDF Views:0
Authors
Affiliations
1 Department of Mathematics, CIT - North Campus Bangalore-562110, IN
1 Department of Mathematics, CIT - North Campus Bangalore-562110, IN
Source
International Journal of Advanced Networking and Applications, Vol 12, No 3 (2020), Pagination: 4601-4605Abstract
Mobile ad hoc network (MANET) is a self-organized mobile nodes group that is connected fairly with low wireless bandwidth links. This manuscript proposes an innovative efficient queuing architecture, which supports for both elastic and inelastic traffic arises real time world. Packets or jobs of inelastic flows are always preferred for service comparing to those of the elastic flows. If any link is significantly weighted down by the inelastic traffic, it causes in great delays. To sort the problem the virtual queue algorithm gives the veteran delay compare to virtual queues that are served at a fraction of the actual service rate and by using the virtual queue-length values in utility function.Keywords
Ad Hoc Networks, Multiprocessor Queuing Model, Dynamic Waiting Room, Mobile Networks.References
- Ambika, I., Sadasivam, V. P., & Eswaran, P. (2014). An effective queuing architecture for elastic and inelastic traffic with different dropping precedence in MANET. EURASIP Journal on Wireless Communications and Networking, 2014(1), 155.
- Saritha, S., Mamatha, E., Reddy, C.S., Anand, K. (2019). A model for compound poisson process queuing system with batch arrivals and services. Journal Européen des Systèmes Automatisés, Vol. 53, No. 1, pp. 81-86.
- Elliriki, M., Reddy, C. C. S., & Anand, K. (2019). An efficient line clipping algorithm in 2D space. Int. Arab J. Inf. Technol., 16(5), 798-807.
- Badhe, K., & Jain, S. (2017). Implementation of mobility and QoS aware energy efficient anycast routing in MANET. International Journal of Advanced Networking and Applications, 9(1), 3338.
- Mamatha, E., et al. "Mathematical modelling and performance analysis of single server queuing system-eigenspectrum." International Journal of Mathematics in Operational Research 16.4 (2020): 455-468.
- Anand, Krishna, et al. "Design of neural network based expert system for automated lime kiln system." Journal Européen des Systèmes Automatisés 52.4 (2019): 369-376.
- Nandy, R., & Roy, D. B. (2011). Study of various attacks in MANET and elaborative discussion of rushing attack on DSR with clustering scheme. International Journal of Advanced Networking and Applications, 3(1), 1035.
- Saritha, S., Mamatha, E., Reddy, C.S. (2019). Performance measures of online warehouse service system with replenishment policy. Journal Européen des Systèmes Automatisés, Vol. 52, No. 6, pp. 631638
- Elliriki, Mamatha, C. Chandra Sekhar Reddy, and Krishna Anand. "An efficient line clipping algorithm in 2D space." Int. Arab J. Inf. Technol. 16.5 (2019): 798-807.
- Nadesh, R. K., Sumathy, D., & Malar, M. B. A. (2011). Performance Analysis of MANET (WLAN) using different Routing Protocols in multi service environments-An quantitative study. International Journal of Advanced Networking and Applications, 3(2), 1076.
- Mamatha, E., C. S. Reddy, and Rohit Sharma. "Effects of viscosity variation and thermal effects in squeeze films." Annales de Chimie. Science des Materiaux. Vol. 42. No. 1. Lavoisier, 2018.
- Kumar, MV Sravan, et al. "Data hiding with dual based reversible image using sudoku technique." 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2017.
- Pradeep, B. S., & Soumya, S. (2010). A new method for load balancing and QOS in on demand protocols—in the MANET’s perspective. International Journal of Advanced Networking and Applications, 1(4), 275-281.
- Mamatha, E., C. S. Reddy, and S. Krishna Anand. "Focal point computation and homogeneous geometrical transformation for linear curves." Perspectives in Science 8 (2016): 19-21.
- Mamatha, E., C. S. Reddy, and K. R. Prasad. "Antialiased Digital Pixel Plotting for Raster Scan Lines Using Area Evaluation." Emerging Research in Computing, Information, Communication and Applications. Springer, Singapore, 2016. 461-468.
- Periyasamy, P., & Karthikeyan, E. (2012). A simulation based QoS review of multipath routing protocols for MANET. International Journal of Advanced Networking and Applications, 4(3), 1624.
- Reddy, C. S., et al. "Obtaining Description for Simple Images using Surface Realization Techniques and Natural Language Processing." Indian Journal of Science and Technology 9.22 (2016): 1-7.
- Mamatha, E., et al. "Scientific Trends and Role of Robots in the Agricultural Sector." Int. J. Advanced Networking and Applications 11.04 (2020): 43454349.
- Sharif, A., Li, J. P., & Saleem, M. A. (2018). Internet of things enabled vehicular and ad hoc networks for smart city traffic monitoring and controlling: a review. International Journal of Advanced Networking and Applications, 10(3), 3833-3842.
- Mamatha, E., S. Saritha, and C. S. Reddy. "Stochastic Scheduling Algorithm for Distributed Cloud Networks using Heuristic Approach." International Journal of Advanced Networking and Applications 8.1 (2016): 3009.
- Mamatha, E., Sasritha, S., & Reddy, C. S. (2017). Expert System and Heuristics Algorithm for Cloud Resource Scheduling. Romanian Statistical Review, 65(1), 3-18.