- M. Ashok Kumar
- R. Ilayaraja
- S. Swaminathan
- Ajay A. Desai
- K. S. Balasubramaniam
- A. L. Paropkari
- J. S. Armstrong-Altrin
- R. Nagendra
- J. Madhavaraju
- J. Moutte
- D. Bakkiaraj
- John S. Armstrong-Altrin
- Alcides N. Sial
- Juan J. Kasper-Zubillaga
- K. Flores-Castro
- Janet Luna Rodriguez
- R. Rameshkumar
- K. Ravi Kumar
- Ashutosh Das
- Mukesh Goel
- V. S. Chitre
- S. Mulay
- Usha Ram
- A. M. Pisal
- Sanjeevanee Mulay
- Ravindra Singh
- J. P. Mangalhara
- Rajesh Rampal
- T. K. Jagannathan
- R. Sathish Babu
- V. Kumaresan
- G. Maria Priscilla
- Indian Forester
- Journal of Geological Society of India (Online archive from Vol 1 to Vol 78)
- Programmable Device Circuits and Systems
- Nature Environment and Pollution Technology
- Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics
- Manufacturing Technology Today
- Journal of Pure and Applied Ultrasonics
- ICTACT Journal on Soft Computing
- International Journal of Computer Networks and Applications
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
Nagarajan, R.
- Impact of Plant Weeds on Grass Availability in Gaur (Bos gaurus H. Smith, 1827) Foraging Areas of Mudumalai Tiger Reserve, Southern India
Authors
Source
Indian Forester, Vol 138, No 12 (2012), Pagination: 1131-1140Abstract
Invasive species are regarded as one of the largest threats to biodiversity but little is known about the invasion of exotic plants into the tropical forest. The per cent grass availability in gaur (Bos gaurus H. Smith, 1827) foraging areas in three different habitats namely dry deciduous forest, moist deciduous forest and thorn forest in relation to weed category areas viz., Lantana camara invasion areas, Chromolaena odorata invasion areas, 'both weeds invasion' and 'weed-free' areas were investigated in Mudumalai Tiger Reserve between November 2003 and April 2004. The overall mean per cent grass availability was 28.52±26.81/m2 (n=7343). The overall mean density of L. camara and C. odorata were 2.2±5.75/50m2 (n=8090) and 10.7±14.6/50m2 (n=8090) respectively. Among the habitats, the dry deciduous forest had maximum availability of grass (%) followed by thorn forest and moist deciduous forest. The per cent availability of grass was highest in the weed free areas of dry deciduous forest (54.0227.28%) and lowest in L. camara areas of thorn forest (14.52±14.45%). In all the habitats there was a significant variation among the weed category areas with reference to the per cent availability of grass. The densities of L. camara and C. odorata negatively influenced the per cent grass availability. The Standardized Partial Regression Coefficients of multiple regression equation model indicated that the C. odorata had the primary influence on the grass growth followed by L. camara.Keywords
Gaur, Lantana camara, Chromolaena odorata, grass availability- Electron Microscopic Studies of Clay Minerals from Three Bauxite Profiles
Authors
1 Geology Section, Indian Institute of Technology, Bombay 400076, IN
2 National Institute of Oceanography, Goa, IN
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 21, No 5 (1980), Pagination: 252-254Abstract
Laboratory studies of three bauxitic profiles from Maharashtra and Tamil Nadu suggest that plagioclase feldspar alters to gibbsite via halloysite and not from kaolinite. The alteration characteristics of feldspars and the morphological aspects of clays leading to the genesis of bauxites were studied under electron microscope.- Petrography and Geochemistry of Terrigenous Sedimentary Rocks in the Neoproterozoic Rabanpalli formation, Bhima Basin, Southern India: Implications for Paleoweathering Conditions, Provenance and Source Rock Composition
Authors
1 School of Civil Engineering, Sastra University, Thanjavur - 61 3 402,, IN
2 Centro de Investigaciones en Ciencias de la Tierra, Universdad Autonoma del Estado de Hidalgo, Crudad Universitaria, Carretera Pachuca-Tulancingo km 4 5, Pachuca, Hidalgo 42 1 84, MX
3 Department of Geology, Anna University, Chennai - 600 025, IN
4 Institute do Geologia, Estacion Regional del Noroeste, Universidad Nacional Autonoma de Mexico, Apart Postal 1039, Hermosillo, Sonora 83000, MX
5 Centre SpiNC, Ecole des Mines, 158 cours Fauriel, F 42023, Sant-Etienne, FR
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 70, No 2 (2007), Pagination: 297-312Abstract
Petrographic, major, trace, and rare earth element compositions of quartz arenites, arkoses, and siltstones of Neoproterozoic Rabanpalli Forrnation of Bhima Basin have been investigated to understand the provenance. The quartz arenites, arkoses, and siltstones have large variations in major element concentrations. For example, quartz arenites and arkoses contain the hlgher Si02 (average with one standard deviation being 97±1,73±2,respectively) and lower Al2O3 (0 95±0 4, 9 6±O 9, respectlvely) concentrations than siltstones (SiO2=64±4, A1203=14±1), which is mainly due to the presence of quartz and absence of other Al-bearing minerals in relation with rock types. This is also supported by our petrography, since quartz arenites and arkoses contain significant amount of quartz relative to feldspar and lithic fragments. The observed low CIA values and A-CN-K diagram suggest that the sedimentary rocks of Rabanpalli Formation have undergone K-metasomatism.
The Co, Ni, Cr, Ba, Zr, Hf, and Th values are higher in siltstones than quartz arenites and arkoses. The EU/EU*, (La/LU)en, La/Sc, Th/Sc, Th/Co, Th/Cr, Cr/Th ratios, and Cr, Ni, V, and Sc values strongly suggest that these sediments were mainly derived from the felsic source rocks. This interpretation is also supported by the Th/Sc versus Sc bivariate and La-Th-Sc triangular plots. The rare earth element (REE) patterns of these rocks also support their derivation from felsic source rocks. Further more, these rocks exhibit higher LREE/HREE ratio (8±4) and a significant negative Eu anomaly (0 77±0 16), which indicate the felsic igneous rocks as a possible source rocks.
Keywords
Geochemistry, Paleoweathering, Provenance, K-Metasomatism, Sandstone, Bhima Basin, Karnataka.- Geochemistry of Sandstones from the Upper Cretaceous Sillakkudi Formation, Cauvery Basin, Southern India: Implication for Provenance
Authors
1 Department of Geology, Anna University, Chennai - 600 025, IN
2 Department of Applied Geology, School of Engineering and Science, Curtin University, CDT 250, 98009, Miri, Sarawak, MY
3 Unidad Academica de Geologia Marina y Ambiental, Instituto de Ciencias del Mar y Limnologia, Universidad Nacional Autonoma de Mexico, Mexico D.F., C.P. 04510, MX
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 76, No 5 (2010), Pagination: 453-467Abstract
Major, trace and rare earth elements (REE) composition of sandstones from the Upper Cretaceous Sillakkudi Formation, Ariyalur Group, Cauvery Basin were studied to decipher their weathering and provenance history. Texturally, these sandstones are immature, poorly sorted and grain supported. Abundance of feldspars especially, plagioclase indicates rapid deposition of sediments from a nearby source rocks. Using the geochemical classification diagram the Sillakkudi sandstones are classified as fe-sand, quartz arenite, litharenite, sub-litharenite, sub-arkose, arkose, and wacke types, which is also supported by the petrography study. The transition trace elements like Co, Ni, and V are higher in the Sillakkudi sandstones than upper continental crust (UCC) values. However, the Sillakkudi sandstones are lower in Cr (mean ∼21) content than average UCC value (∼35). The poor correlation between Cr and Ni (r = 0.08, number of samples n = 20) imply that these sandstones were derived from felsic source rocks. Similarly, the Eu/Eu* (0.35-1.73), La/Sc (1.93-9.36), Th/Sc (0.41-6.57), Th/Co (0.14-5.01), Th/Cr (0.23-2.94), and Cr/Th (0.34-4.28) ratios support a felsic source for the Sillakkudi sandstones. The significant enrichment of Zr, Hf, and Th in fe-sand, sub-arkose and litharenite could be related to the presence of heavy minerals, especially zircon. However, the zircon geochemistry did not affect the REE distribution and its patterns in the Sillakkudi sandstones. The Chondrite normalized REE patterns of Sillakkudi sandstones are characterized by relatively flat HREE (Gd/YbCN = ∼0.73-2.41; subscript CN refers to chondrite normalized value), enriched LREE (La/SmCN = ∼3.39-5.82) and negative Eu anomaly (mean value Eu/Eu* = 0.80). The Gd/YbCN ratios (∼0.73-2.50) are less than 2.5, which suggest that these Sillakkudi sandstones were derived from the less HREE depleted source rocks. The comparison of REE patterns and its Eu anomalies to the source rocks reveals that the Sillakkudi sandstones received a major contribution of sediments from Dharwar craton.Keywords
Geochemistry, Zircon, Sandstones, Upper Cretaceous, Sillakkudi, Cauvery Basin.- Petrography and Stable Isotope Geochemistry of the Cretaceous El Abra Limestones (Actopan), Mexico: Implication on Diagenesis
Authors
1 Instituto de Ciencias del Mar y Limnologia, Unidad de Geologia Marina y Ambiental, Universidad Nacional Autonoma de Mexico, Circuito Exterior s/n, 04510, Mexico D.F., MX
2 Estacion Regional del Noroeste, Instituto de Geologia, Universidad Nacional Autonoma de Mexico, Hermosillo 83000, Sonora, MX
3 Nucleo de Estudos Geoquimicos e Laboratorio de Isotopos Estaveis (NEG - LABISE), Departmento de Geologia, Universidade Federal de Pernambuco, Caixa Posta 7852, 50670-000 Recife, BR
4 Department of Applied Geology, School of Engineering and Science, Curtin University of Technology, CDT 250, 98009, Miri, Sarawak, MY
5 Universidad Autonoma del Estado de Hidalgo, Centro de Investigaciones en Ciencias de la Tierra, Ciudad Universitaria, Carretera Pachuca-Tulancingo Km. 4.5, 42184 Pachuca, Hidalgo,, MX
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 77, No 4 (2011), Pagination: 349-359Abstract
Petrography and stable isotopes (carbon and oxygen) geochemistry of limestones from the El Abra Formation, Actopan, were studied to identify their digenetic environments. The major petrographic types identified are mudstone, wackestone, grainstone, and boundstone. Most of the studied samples show positive δ13C values, except two samples (2 and 28), which are slightly negative values (-0.27‰ and -0.02‰). The organic remains identified in foraminiferal wackestone type can be responsible for the negative δ13C values. The δ18O values range from -12.41‰ to -4.02‰ and indicate meteoric diagenesis.Keywords
Carbonate Rocks, Carbon and Oxygen Isotopes, Diagenesis, Hidalgo State, Mexico.- Sine Multicarrier SPWM Technique for Seven Level Cascaded Inverter
Authors
1 Kamaraj College of Engineering and Technology in Anna University, Viruthunagari, Tamilnadu, IN
2 Raja College of Engineering and Technology, Madurai, Tamilnadu, IN
Source
Programmable Device Circuits and Systems, Vol 5, No 6 (2013), Pagination: 262-266Abstract
In this paper, novel pulse width modulation control strategies which use sine carrier waveform is proposed for seven-level cascaded inverter. In sine carrier waveform, different control strategies such as phase disposition (PD) and inverted phase disposition (IPD) are implemented. The proposed control strategies improve the total harmonic distortion and enhance the fundamental component of the output voltage. The fundamental output voltage and harmonics obtained in each method are compared with each other. The different PWM techniques adopting the constant switching frequency multicarrier are simulated for a 2KW, 3φ inverter using MATLAB/SIMULINK. The effect of switching frequency on the harmonics and fundamental output voltage are also analyzed.Keywords
Sine Multicarrier SPWM (SMC SPWM), Sinusoidal Pulse Width Modulation (SPWM), Total Harmonic Distortion (THD).- Evaluation of Effect of Calcium on Scale Formation and Corrosivity of Groundwater Using GIS
Authors
1 Centre for Environmental Engineering, PRIST University, Thanjavur, T. N., IN
2 Department of Applied Geology, School of Engineering and Science, Curtin University, CDT 250, 98009, Miri, Sarawak, MY
Source
Nature Environment and Pollution Technology, Vol 13, No 1 (2014), Pagination: 101-106Abstract
The ancient Thanjavur population located in delta of River Cauvery had been dependent on surface water for drinking until recently, wherein there is an incremental rise in augmented bore-well water supply. Incidentally, there have been observations of moderate to high scale formations by the groundwater during domestic heating, as well as consistently high record of kidney-stone (mostly calcium oxalates) occurrence in the city and its suburbs. The present work focuses on calcium content, its desirability level and the corrosion/scaling coefficients. One hundred two (102) samples were collected prior to monsoon season in the year 2008 from the study area for study of various physico-chemical parameters. In order to estimate scalability and corrosivity, two standard indices (namely Langelier Saturation Index and Ryznar Saturation Index) were used. GIS has been used to develop integrated maps for demarcating zones of different calcium concentrations in groundwater and its relation with scale and corrosion formation tendencies.Keywords
Groundwater Quality, Scale Formation, Corrosion, Langelier Saturation Index, Ryznar Saturation Index.- Cost of Health Care in the Public Hospitals in Maharashtra: 1999-2000
Authors
1 Gokhale Institute of Politics and Economics, Pune, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 46, No 1-2 (2004), Pagination: 1-60Abstract
The present study is the outcome of a team research undertaken at the Population Research Centre of the Gokhale institute of Politics and Economics. The study tries to calculate the cost of providing hospital services on a per capita basis spread over seven districts of Maharashtra in the year 1999-2000. Average cost is calculated separately for each of the components like fixed and variable cost. An inter-districts comparison is also attempted to show the spatial difference in cost associated with hospital services. Lastly it argues the case of increasing efficiency in two ways: (i) by increasing the entitlements to health care and (ii) by lowering the costs.- Ultrasound Sonography Centres and Child Sex Ratio across Maharashtra: A District Level Analysis
Authors
1 Population Research Centre, Gokhale Institute of Politics and Economics, Pune 411004, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 50, No 4 (2008), Pagination: 433-448Abstract
The child sex ratio (f/m) in Maharashtra has declined by 33 points from 946 in 1991 to 913 in 2001. The present study tries to understand the possible role of Ultrasound Sonography Centres in this context. The study uses data on child sex ratio from Census of India 2001 and the data on district-wise Ultrasound Sonography Centres from the State Family Welfare Bureau, Government of Maharashtra. It is observed that the sonography centres in Maharashtra are unevenly distributed across 35 districts. Correlation and regression analyses at the district level confirm a significant negative association/relationship between the availability of sonography facilities and child sex ratio in Maharashtra. The results, of course, indicate that there is a need to regulate the proliferation and functioning of sonography centres.- Slow Demographic Transition in Maharashtra: The Role of Regional Disparities in Development
Authors
1 Population Research Centre, Gokhale Institute of Politics and Economics, Pune 411 004, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 47, No 1-2 (2005), Pagination: 1-36Abstract
Maharashtra is one of the advanced states in the country in terms of income, industry, urbanisation, female literacy, infant survival, primary health infrastructure and family planning acceptance. But none of these advantages have helped the state to achieve the desired demographic transition: the state continues to have a relatively high fertility compared to southern states despite its advantages over many decades. The experience of Maharashtra reveals that economic development alone is not sufficient to achieve the lower population growth rate. The objectives of the paper are: (i) to analyse the regional differentials in population and other related development indicators within Maharashtra; (ii) to find out the extent of regional disparity in Maharashtra in comparison with some of the other states which have made considerable progress towards the population stabilisation in recent years and (iii) to assess the role of regional disparities in development on fertility transition in Maharashtra. The data for the study were mainly drawn from Census 2001; Rapid Household Survey on Reproductive and Child Health (RCH-RHS) and National Family Health Survey (NFHS-1&2). The analysis exhibits the striking regional differences in demographic parameters in Maharashtra. Analysis also shows that not only the regional disparities are higher in Maharashtra it is also higher compared to the other states, which have made considerable progress towards demographic transition.- Landholding and Fertility Relationship: A Review of the Empirical Evidence
Authors
1 Gokhale Institute of Politics and Economics, Pune 411 004, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 38, No 3 (1996), Pagination: 274-305Abstract
The recent availability of empirical evidence gathered from a number of demographic surveys in agrarian societies has led to a debate on the nature and extent of relationship between landholding and fertility. The discussions have yielded plausible ways in which access to land influences fertility behaviour. The main focus of this paper is on an examination of theories relating to the landfertility relationship and a review of empirical studies on the topic. The results of the empirical studies are presented in a labular form. The available evidence at the micro and macro levels confirms the existence of a positive relationship between land and fertility. The theoretical arguments an the relationship are reviewed and the suggested land-fertility linkages then examined in the light of the available evidence. Finally, prospects far further research are discussed.- Calibration of IR Pyrometers
Authors
1 IR Camouflage Division, Defence Laboratory, Jodhpur-342011, IN
Source
Manufacturing Technology Today, Vol 11, No 7 (2012), Pagination: 19-25Abstract
Pyrometry is being used in defence and industry for temperature measurement and emissivity determination of materials. To acquire object's accurate temperature, pyrometer was to be calibrated. The calibration procedure and the results in the wavelength regions 8-14 μm, 3-5 μm and 0.9-2.5 μm for the temperature range 50-400°C, 500-1200 °C and 900-1500 °C respectively are discussed. Blackbody sources were set to different temperatures and the source temperatures were recorded using reference (RTD and pyrometer) as well as the test pyrometers. Also, temperature variation with respect to emissivity error has been estimated. The comparison between these data yielded greater correlation (correlation co-eff: >99%), which certifies that these test pyrometers con be used for non-contact temperature measurement and emissivity determination of materials.Keywords
Pyrometer, Infrared, Temperature Measurement, Calibration, Standards, Non-Contact Method.- Investigation of Acoustic Cavitation Energy in Ultrasonic Tanks
Authors
1 Department of Chemical Engineering, Indian Institute of Technology Madras, Chennai-600036, IN
Source
Journal of Pure and Applied Ultrasonics, Vol 32, No 4 (2010), Pagination: 95-100Abstract
Acoustic cavitations are produced when ultrasound is coupled with liquid medium and the cavitation energy released is a characteristic feature of frequency of ultrasound used, apart from properties of the medium. Cavitation implosions play a major role in all ultrasound-assisted processes, and hence, characterization of cavitation energy in ultrasonic tanks is an important aspect. This paper presents the cavitation energy measurements made within ultrasonic tanks operating in the frequency range of 33 kHz to 470 kHz. Cavitation energy is very high in low frequency fields and it decays with frequency, following an inverse cubic relation. Increase in viscosity and decrease in surface tension of the liquid medium results in reduced cavitation intensities. The effect of hydrostatic pressure on cavitation energy was also studied. When hydrostatic pressure was increased, cavitation energy increases initially, upto 2 atm pressure (absolute), and then it decreases with pressure at constant power input of 500 W. Higher frequencies (>400 kHz) deliver less cavitational energy, which is optimal for processes such as cleaning of delicate parts, and ultrasound-assisted bio-processes.Keywords
Acoustic Cavitation, Ultrasound Propagation, Cavitation Energy, Cavitation Intensity.- Improved Feature Set Extraction From Documents Using Modified Bag Of Words
Authors
1 Department of Computer and Information Science, Annamalai University, IN
Source
ICTACT Journal on Soft Computing, Vol 11, No 1 (2020), Pagination: 2213-2217Abstract
In conventional literatures, there are several different methods of collection and extraction and are also used to minimize dimensionality. Traditional methods are intuitively designed to delete redundant and outdated information to help define new test cases more effectively. But the number of specific words in the Bag of Words (BoW) model must be manually calculated, requiring time and work and portability of deficiencies. In addition, the number of codebook vectors in BoW rises as cancer types grow and the efficiency and accuracy of detection are reduced. The BoW model is therefore not ideal for multi-operative failure diagnosis. Therefore, we propose an improved BoW in this paper which selects the number of special terms required to collect cancer diagnostic functions from different documents. The overall recognition and accuracy rates are higher than other existing extraction models. The improved BoW method has been verified to be highly effective in operating conditions that meet the requirements in real time.Keywords
Bag of Words, Cancer Document Retrieval, Codebook, Dimensionality Reduction.- Improved Feature Extraction on Text Documents using Neural Network Model
Authors
1 Department of Computer and Information Science, Annamalai University, IN
Source
ICTACT Journal on Soft Computing, Vol 11, No 2 (2021), Pagination: 2279-2282Abstract
In natural language processing, the text clustering plays a major role on reducing the text dimensionality. However, the lack of data models has made the clustering algorithm to face sparsity problems. The integration with deep learning has resolved the problem of scarce knowledge on text documents. However, deeper architectures learn such redundant features, which limit the efficiency of solutions. In this paper, a complete extraction of features from text document using neural network model. The neural network model utilizes feed forward mechanism and a type of unsupervised learning that denoises the corrupted input features. The reconstructed feature is used for initialing the feed forward network. This method reduces the manual labelling in the process of screening. For evaluation, series of experiments are conducted to investigate the performance of the method over the text datasets with various conventional algorithms.Keywords
Text Document, Feature Extraction, Neural Network, Denoising.References
- C.C. Aggarwal and C. Zhai, “A Survey of Text Classification Algorithms”, Springer, 2012.
- W. Aziguli, Y. Zhang, Y. Xie and D. Zhang, “A Robust Text Classifier based on Denoising Deep Neural Network in the Analysis of Big Data”, Scientific Programming, Vol. 2017, pp. 1-20, 2017.
- L.E. Peterson, “K-Nearest Neighbor”, Scholarpedia, Vol. 4, No. 2, pp. 1883-1887, 2009.
- P. Langley, W. Iba and K. Thompson, “An Analysis of Bayesian Classifiers”, Aaai, Vol. 90, pp. 223-228, 1992.
- X. Luo, J. Deng, J. Liu and W. Wang, “A Quantized Kernel Least Mean Square Scheme with Entropy-Guided Learning for Intelligent Data Analysis”, China Communications, Vol. 14, No. 7, pp. 1-10, 2017.
- T.N. Lal, O. Chapelle and J. Weston, “Embedded Methods”, Springer, 2006.
- A. Rehman, K. Javed and H.A. Babri, “Feature Selection based on a Normalized Difference Measure for Text Classification”, Information Processing and Management, Vol. 53, No. 2, pp. 473-489, 2017.
- R. Wald, T. Khoshgoftaar and A. Napolitano, “Filter-and Wrapper-based Feature Selection for Predicting user Interaction with Twitter Bots”, Proceedings of IEEE International Conference on Information Reuse and Integration, pp. 416-423, 2013.
- I. Guyon and A. Elisseeff, “An Introduction to Variable and Feature Selection”, Journal of Machine Learning Research, Vol. 3, No. 2, pp. 1157-1182, 2003.
- Q. Le and T. Mikolov, “Distributed Representations of Sentences and Documents”, Proceedings of International Conference on Machine Learning, pp. 1188-1196, 2014.
- M. Jiang, Y. Liang and X. Feng, “Text Classification based on Deep Belief Network and Softmax Regression”, Neural Computing and Applications, Vol. 29, No. 1, pp. 61-70, 2018.
- C.H. Shih, B.C. Yan and S.H. Liu, “Investigating Siamese LSTM Networks for Text Categorization”, Proceedings of Asia-Pacific Conference on Signal and Information Processing Association Annual Summit, pp. 641-646, 2017.
- C.Y. Lee, S. Xie, P. Gallagher and Z. Zhang, “Deeply-Supervised Nets”, Proceedings of International Conference on Artificial Intelligence and Statistics, pp. 562-570, 2015.
- C. Szegedy, W. Liu, Y. Jia and P. Sermanet, “Going Deeper with Convolutions”, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-9, 2015.
- M. Denil, B. Shakibi, L. Dinh and M.A. Ranzato, “Predicting Parameters in Deep Learning”, Proceedings of International Conference on Advances in Neural Information Processing Systems, pp. 2148-2156, 2013.
- B.O. Ayinde, T. Inanc and J.M. Zurada, “On Correlation of Features Extracted by Deep Neural Networks”, Proceedings of International Conference on Neural Networks, pp. 1-8, 2019.
- B.O. Ayinde and J.M. Zurada, “Clustering of Receptive Fields in Autoencoders”, Proceedings of International Conference on Neural Networks, pp. 1310-1317, 2016.
- A. Rehman, K. Javed, H.A. Babri and M.N. Asim, “Selection of the Most Relevant Terms based on a Max-Min Ratio Metric for Text Classification”, Expert Systems with Applications, Vol. 114, No. 1. pp. 78-96, 2018.
- A. Dasgupta, P. Drineas, B. Harb and V. Josifovski, “Feature Selection Methods for Text Classification”, Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 230-239, 2007.
- S. Lai, L. Xu, K. Liu and J. Zhao, “Recurrent Convolutional Neural Networks for Text Classification”, Proceedings of International Conference on Artificial Intelligence, pp. 1-14, 2015.
- N. Kousik, S. Kallam, R. Patan and A.H. Gandomi, “Improved Salient Object Detection using Hybrid Convolution Recurrent Neural Network”, Expert Systems with Applications, Vol. 166, pp 1-20, 2020.
- S. Zhou, Q. Chen and X. Wang, “Active Semi-Supervised Learning Method with Hybrid Deep Belief Networks”, PloS One, Vol. 9, No. 9, pp. 1-9, 2014.
- C. Huang, W. Gong, W. Fu and D. Feng, “A Research of Speech Emotion Recognition based on Deep Belief Network and SVM”, Mathematical Problems in Engineering, Vol. 12, No. 3, pp. 1-16, 2014.
- S.E. Kahou, C. Pal, X. Bouthillier and P. Froumenty, “Combining Modality Specific Deep Neural Networks for Emotion Recognition in Video”, Proceedings of ACM on International Conference on Multimodal Interaction, pp. 543-550, 2013.
- M. Liu, G. Haffari, W. Buntine and M. Ananda-Rajah, “Leveraging Linguistic Resources for Improving Neural Text Classification”, Proceedings of the Australasian Language Technology Association Workshop, pp. 34-42, 2017.
- BBC Sports, Available at: http://mlg.ucd.ie/datasets/bbc.html.
- Efficient and Reliable Routing With Cloud Based Source-Location Privacy Protection in Wireless Sensor Networks
Authors
1 Department of Computer Science, Sri Ramakrishna College of Arts and Science, Coimbatore, Tamil Nadu, IN
Source
International Journal of Computer Networks and Applications, Vol 8, No 6 (2021), Pagination: 730-741Abstract
WSNs (Wireless Sensor Networks) have recently gained popularity. WSNs are typically deployed in insecure, unstructured areas where their source location reveals critical information about targets. Sensor deployment in WSNs has been seen in a variety of applications that oversee events and send information to base stations. Optimal route selection and source location privacy are critical issues in WSNs. If an intruder determines the source node by studying traffic mode, an attack could be conducted on a target with ease. Previous methods were based on MSROs (Mobile Sink-based Route Optimizations) and Cloud-Based WSN Protection Schemes. This research work chooses the optimum multi-sink node based on the BFAs (Bacteria Foraging Algorithms). But, it does not yield optimal paths to balance the PDRs (Packet Delivery Ratios) and energy dissipation. To seek a solution to this issue, this study proposes ERR-CSLPPs (Efficient and Reliable Routing with Cloud-based Source-Location Privacy Protections) using AAFBOA (Adaptive Adjustment Factor based Butterfly Optimization Algorithm), allowing the approach to choose the mobile sink node. Depending on the ETCs (Expected Transmission Counts), residual energy, and hop count, the optimal paths are chosen with the help of TOPSISs for efficient transmissions. The actual packets are sent over the preferred path. Next, the cloud-like false hotspot is formed to include counterfeit packets into the WSN to confuse the intruder and yield an elaborate privacy location. Counterfeit packets are included along the delivery path of the actual data packet to extend the time needed for tracing the traffic flow. The experiments reveal that the proposed system yields improved performance when matched with the earlier system in terms of overall energy dissipation, node utilization ratio, transmission delay, security, and network lifetimes.Keywords
Cloud Center, Mobile Sink, Adaptive Adjustment Factor, Fake Hotspot and Technique for Order Preference by Similarity to Ideal Solution.References
- Khalaf, O. I., & Sabbar, B. M. (2019). An overview on wireless sensor networks and finding optimal location of nodes. Periodicals of Engineering and Natural Sciences (PEN), 7(3), pp.1096-1101.
- El Alami, H., & Najid, A. (2019). ECH: An enhanced clustering hierarchy approach to maximize lifetime of wireless sensor networks. IEEE Access, 7, pp.107142-107153.
- Numan, M., Subhan, F., Khan, W. Z., Hakak, S., Haider, S., Reddy, G. T., & Alazab, M. (2020). A systematic review on clone node detection in static wireless sensor networks. IEEE Access, 8, pp.65450-65461.
- Mostafaei, H. (2018). Energy-efficient algorithm for reliable routing of wireless sensor networks. IEEE Transactions on Industrial Electronics, 66(7), pp.5567-5575.
- Sangaiah, A. K., Sadeghilalimi, M., Hosseinabadi, A. A. R., & Zhang, W. (2019). Energy consumption in point-coverage wireless sensor networks via bat algorithm. IEEE Access, 7, pp.180258-180269.
- Sajwan, M., Gosain, D., & Sharma, A. K. (2018). Hybrid energy-efficient multi-path routing for wireless sensor networks. Computers & Electrical Engineering, 67, pp.96-113.
- Shokair, M., & Saad, W. (2017). Balanced and energy-efficient multi-hop techniques for routing in wireless sensor networks. IET Networks, 7(1), pp.33-43.
- Mutalemwa, L. C., & Shin, S. (2019). Achieving source location privacy protection in monitoring wireless sensor networks through proxy node routing. Sensors, 19(5), 1037.
- Wang, Y., Liu, L., & Gao, W. (2019). An efficient source location privacy protection algorithm based on circular trap for wireless sensor networks. Symmetry, 11(5), 632.
- Ouyang, Y.; Le, Z.; Chen, G.; James, F.; Fillia, M. Entrapping Adversaries for Source Protection in Sensor Networks. In Proceedings of the International Symposium on World of Wireless, Mobile and Multimedia Networks, Washington, DC, USA, 26–29 June 2006; pp. 23–34
- Ozturk, C.; Zhang, Y.; Trappe, W.; Ott, M. Source-Location Privacy for Networks of Energy-Constrained Sensors. In Proceedings of the Second IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, Vienna, Austria, 12 May 2004; pp. 68–72
- Ma, W.; Song, L. Source location privacy preservation routing protocol based on multi-path. Comput. Eng. Appl. 2018, 54, pp.81–85. (In Chinese).
- Cerpa, A.; Estrin, D. ASCENT: Adaptive Self-Configuring Sensor Networks Topologies. IEEE Trans. Mob. Comput. 2004, 3, pp.272– 285.
- Yao, L., Kang, L., Deng, F., Deng, J., & Wu, G. (2015). Protecting source–location privacy based on multirings in wireless sensor networks. Concurrency and Computation: Practice and Experience, 27(15),pp. 3863-3876.
- Han, G., Miao, X., Wang, H., Guizani, M., & Zhang, W. (2019). CPSLP: A cloud-based scheme for protecting source location privacy in wireless sensor networks using multi-sinks. IEEE Transactions on Vehicular Technology, 68(3), pp.2739-2750.
- Mutalemwa, L. C and Shin, S. (2018). Strategic location-based random routing for source location privacy in wireless sensor networks. Sensors, 18(7), 2291.
- Ricardo A. L. Rabelo, Jose V. V. Sobral, Harilton S. Araujo, Rodrigo A. R. S. Baluz, and Raimir Holanda Filho, “An Approach Based on Fuzzy Inference System and Ant Colony Optimization for Improving the Performance of Routing Protocols in Wireless Sensor Networks,” IEEE Congress on Evolutionary Computation, pp 3244-3245, 2013
- Naghibi, M., & Barati, H. (2020). EGRPM: Energy efficient geographic routing protocol based on mobile sink in wireless sensor networks. Sustainable Computing: Informatics and Systems, 25, 100377.
- Fu, X., & He, X. (2020). Energy-balanced data collection with path-constrained mobile sink in wireless sensor networks. AEU-International Journal of Electronics and Communications, 127, 153504.
- Cheng, H., Tao, L., & Zhang, X. (2019). A Fast and Efficient Broadcast Protocol With a Mobile Sink Node in Asynchronous Wireless Sensor Networks. IEEE Access, 7, 92813-92824.
- Ye, G., Zhang, B., & Chai, S. (2014, December). Energy balanced virtual force-based approach for mobile WSNs. In 2014 Seventh International Symposium on Computational Intelligence and Design (Vol. 1, pp. 496-500). IEEE.
- Al-Tabbakh, S. M., & Shaaban, E. (2017, September). Energy aware autonomous deployment for mobile wireless sensor networks: Cellular automata approach. In International Conference on Applied Physics, System Science and Computers (pp. 87-99). Springer, Cham.