Taguchi-based ANN predictions to analyze the tensile strength of adhesive-bonded single lap joints
Adhesive bonding; Artificial neural network approach; Single lap joint; Taguchi method; Tensile strength
The adhesive bonding method is commonly used in various industries to join different materials because of its benefits, which include a high strength-to-weight ratio, low cost, and high efficiency properties. Automotive, aerospace, marine, and construction industries are increasingly using adhesively bonded joints because the hand layup techniques involve simpler fabrication methodologies, maintenance procedures, and controllable stress distribution parameters in the overlap region, which ultimately lead to easier production of automobile, aircraft, and ship components. The objective of the present work is primarily to assess the overlap length in conjunction with the adhesive strength of glass-epoxy adherends bonded with epoxy resin. In this article, the experiments are performed on single lap-bonded joints. The parameters considered for the current work involve the length of overlap, which is maintained at 15, 25, and 35 mm, and adhesive bonding thickness that is maintained at 0.2, 0.3, and 0.5 mm, respectively. The strength of the adhesively bonded lap joint is determined using a Universal Testing Machine (Lloyd Instruments Ltd., West Sussex, United Kingdom) with a 1-20 kN capacity. The investigational outcome reveals that, as the overlap length of the adhesively bonded single lap joint increases, a substantial increase in the joint strength is observed; additionally, it is noted that, with the increase in adhesive thickness, the joint strength decreases. It was observed that the artificial neural network-predicted values from the analysis were extremely close to the experimental values, and the difference between the experimental and predicted values was very small. Copyright 2018 by ASTM International.
Ravichandran G.; Rathnakar G.; Ratan P.; Joshy J.; Vishal S.
Materials Performance and Characterization, Vol-7, No. 1, pp. 186-201.
https://doi.org/10.1520/MPC20180006 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046545806&doi=10.1520%2fMPC20180006&partnerID=40&md5=9703ba3a1d349dacb261d4acca1d04a3
Ravichandran G., Department of Mechanical Engineering, Faculty of Engineering, Christ (Deemed to Be University), Mysore Rd., Bengaluru, Karnataka, 560074, India; Rathnakar G., Department of Mechanical Engineering, ATME College of Engineering, Bannur Rd., Mysore, Karnataka, 570028, India; Ratan P., Department of Mechanical Engineering, Faculty of Engineering, Christ (Deemed to Be University), Mysore Rd., Bengaluru, Karnataka, 560074, India; Joshy J., Department of Mechanical Engineering, Faculty of Engineering, Christ (Deemed to Be University), Mysore Rd., Bengaluru, Karnataka, 560074, India; Vishal S., Department of Mechanical Engineering, Faculty of Engineering, Christ (Deemed to Be University), Mysore Rd., Bengaluru, Karnataka, 560074, India
Effects of hall current on transient flow of dusty fluid with nonlinear radiation past a convectively heated stretching plate
Convective condition; Fluid-particle suspension; Hall current; Nonlinear thermal radiation; Unsteady stretching surface
Influence of Hall current on flow and heat transfer of dusty fluid over a convectively heated stretching plate in the presence of nonlinear thermal radiation is explored in this paper. The unsteadiness in the flow and temperature fields is because of the time-dependent stretching velocity and surface temperature. Suitable similarity transformations are used to convert the governing partial differential equations of momentum and thermal energy to a system of nonlinear ordinary differential equations. Consequent equations are solved by using shooting method. The details of the velocities, temperatures, local Nusselt number as well as local skin friction for various parameters such as unsteadiness parameter, thermal radiation, Hall effects, Biot number, Eckert number, Prandtl number and magnetic parameter are presented graphically and discussed in detail. 2018 Trans Tech Publications, Switzerland.
Gireesha B.J.; Mahanthesh B.; Makinde O.D.; Muhammad T.
Defect and Diffusion Forum, Vol-387, pp. 352-363.
https://doi.org/10.4028/www.scientific.net/DDF.387.352 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059467269&doi=10.4028%2fwww.scientific.net%2fDDF.387.352&partnerID=40&md5=b237fab9b2fbde7e919afed0e274acb2
Gireesha B.J., Department of Mathematics, Christ University, Bangalore, 560029, India; Mahanthesh B., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, 577 451, India; Makinde O.D., Faculty of Military Science, Stellenbosch University, Saldanha, 7395, South Africa; Muhammad T., Department of Mathematics, Government. College Women University, Sialkot, 51310, Pakistan
Framework to analyze customer's feedback in smartphone industry using opinion mining
Big data analytics; Business intelligence; Customer feedback analysis; Opinion mining
In the present age cellular phones are the largest selling products in the world. Big Data Analytics is a method used for examining large and varied data, which we know as big data. Big data analytics is very useful for understanding the world of cellphone business. It is important to understand the requirements, demands, and opinions of the customer. Opinion Mining is getting more important than ever before, for performing analysis and forecasting customer behavior and preferences. This study proposes a framework about the key features of cellphones based on which, customers buy them and rate them accordingly. This research work also provides balanced and well researched reasons as to why few companies enjoy dominance in the market, while others do not make as much of an impact 2018 Institute of Advanced Engineering and Science. All rights resented.
International Journal of Electrical and Computer Engineering, Vol-8, No. 5, pp. 3317-3324.
Institute of Advanced Engineering and Science
All Open Access; Green Open Access; Hybrid Gold Open Access
https://doi.org/10.11591/IJECE.V8I5.PP3317-3324 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116899627&doi=10.11591%2fIJECE.V8I5.PP3317-3324&partnerID=40&md5=72bf24132d00129e22cb2500364d242b
Gupta M., Department of Computer Science, Christ University, India; Sebastian S., Department of Computer Science, Christ University, India, Department of Computer Science, Christ University, Bangalore, India
Analysis of secure cloud storage provisioning for medical image management system
Blowfish; Cloud computing; Compression; Cryptography; Huffman coding
Medical images are considered to be the most sensitive images as it contains various health related sensitive information of an individual and it is necessary for the health care organization to maintain the sensitivity of these images without anybody misusing these data. When these images are transferred digitally through a network in order to store it in cloud for easy access for the authorities of the health care system, it is important to compress and encrypt these images to reduce the size and safeguard the information before storing and make sure that these images are transferred securely. In this paper, we use Huffman Coding technique in order to compress the image for easy transmission and to consume less storage space in cloud. To maintain the confidentiality of these images Blowfish encryption methodology is used. Once the image undergoes compression and encryption, the encrypted image is transferred and stored in a cloud storage. IAEME Publication.
International Journal of Mechanical Engineering and Technology, Vol-9, No. 3, pp. 162-173.
Singh M.L., Christ University, Karnataka, India; Senthilnathan T., Christ University, Karnataka, India
Scrutinization of thermal radiation, viscous dissipation and Joule heating effects on Marangoni convective two-phase flow of Casson fluid with fluid-particle suspension
Casson fluid; Dusty fluid; Joule heating; Marangoni convection; Thermal radiation; Two-phase flow; Viscous dissipation
The impact of Marangoni convection on dusty Casson fluid boundary layer flow with Joule heating and viscous dissipation aspects is addressed. The surface tension is assumed to vary linearly with temperature. Physical aspects of magnetohydrodynamics and thermal radiation are also accounted. The governing problem is modelled under boundary layer approximations for fluid phase and dust particle phase and then Runge-Kutta-Fehlberg method based numeric solutions are established. The momentum and heat transport mechanisms are focused on the result of distinct governing parameters. The Nusselt number is also calculated. It is established that the rate of heat transfer can be enhanced by suspending dust particles in the base fluid. The temperature field of fluid phase and temperature of dust phase are quite reverse for thermal dust parameter. The radiative heat, viscous dissipation and Joule heating aspects are constructive for thermal fields of fluid and dust phases. The velocity of dusty Casson fluid dominates the velocity of dusty fluid while this trend is opposite in the case of temperature. Moreover qualitative behaviour of fluid phase and dust phase temperature/velocity are similar. 2018
https://doi.org/10.1016/j.rinp.2018.01.023 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85043770181&doi=10.1016%2fj.rinp.2018.01.023&partnerID=40&md5=58c12b0e82310dd440b74ede4e2015b5
Mahanthesh B., Department of Mathematics, Christ University, Bangalore, 560029, India; Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta 577451, Shimoga, Karnataka, India
Workflow Scheduling Using Heuristic Scheduling in Hadoop
Cloud; Data centers; Hadoop; Heuristic hill climbing; Workflow scheduling
In our research study, we aim at optimizing multiple load in cloud, effective resource allocation and lesser response time for the job assigned. Using Hadoop on datacenter is the best and most efficient analytical service for any corporates. To provide effective and reliable performance analytical computing interface to the client, various cloud service providers host Hadoop clusters. The previous works done by many scholars were aimed at execution of workflows on Hadoop platform which also minimizes the cost of virtual machines and other computing resources. Earlier stochastic hill climbing technique was applied for single parameter and now we are working to optimize multiple parameters in the cloud data centers with proposed heuristic hill climbing. As many users try to priorities their job simultaneously in the cluster, resource optimized workflow scheduling technique should be very reliable to complete the task assigned before the deadlines and also to optimize the usage of the resources in cloud. The Korea Institute of Information and Communication Engineering.
Journal of Information and Communication Convergence Engineering, Vol-16, No. 4, pp. 264-270.
Korea Institute of Information and Communication Engineering
https://doi.org/10.6109/jicce.2018.16.4.264 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059525852&doi=10.6109%2fjicce.2018.16.4.264&partnerID=40&md5=c591dc4552d8b7457b96e2f2ff0bc016
Thingom C., Centre for Advanced Research and Training, CHRIST (Deemed to be University), Bengaluru, 560029, India; R G.K., Faculty of Engineering, CHRIST (Deemed to be University), Bengaluru, 560029, India; Yeon G., Innovation Centre, CHRIST (Deemed to be University), Bengaluru, 560029, India
Decomposition; Hamilton decomposition; Path decomposition; Pendant number
A decomposition of a graph G is a collection of its edge disjoint sub-graphs such that their union is G. A path decomposition of a graph is a decomposition of it into paths. In this paper, we define the pendant number ?p as the minimum number of end vertices of paths in a path decomposition of G and determine this parameter for certain fundamental graph classes. 2018 Academic Publications.
International Journal of Applied Mathematics, Vol-31, No. 5, pp. 679-689.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.12732/ijam.v31i5.12 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067647522&doi=10.12732%2fijam.v31i5.12&partnerID=40&md5=c438da3956908de2bd2179c663c7d637
Sebastian J.K., Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, 627012, India; Kureethara J.V., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, Karnataka, 560029, India
Scrutinization of joule heating and viscous dissipation on MHD flow and melting heat transfer over a stretching sheet
Joule heating; micro polar dusty fluid; numerical method; stretching sheet; viscous dissipation
The present paper deals with an analysis of the combined effect of Joule heating and viscous dissipation on an MHD boundary layer flow and melting heat transfer of a micro polar fluid over a stretching surface. Governing equations of the problem are transformed into a set of coupled nonlinear ordinary differential equations by applying proper transformations and then they are solved numerically using the RKF-45 method. The method is verified by a comparison with the established results with limiting solution. The influence of the various interesting parameters on the flow and heat transfer is analyzed in detail through plotted graphs. 2018 K.G. Kumar et al., published by Sciendo.
Kumar K.G.; Gireesha B.J.; Manjunatha S.
International Journal of Applied Mechanics and Engineering, Vol-23, No. 2, pp. 429-443.
https://doi.org/10.2478/ijame-2018-0025 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048427251&doi=10.2478%2fijame-2018-0025&partnerID=40&md5=a98504a9aa98ffc6258178ce5fb56da0
Kumar K.G., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, Karnataka, 577451, India; Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, Karnataka, 577451, India; Manjunatha S., Department of Engineering Mathematics, Faculty of Engineering, Christ University, Mysore Road, Bengaluru, 560074, India
Analysis of multimode oscillations caused by subsynchronous resonance on generator shaft
Finite element method; Modal analysis; Subsynchronous resonance; Turbine-generator
Series capacitors are installed in high voltage alternating current transmission lines to counteract the inductive reactance of the line. The resonance caused by series capacitors between electric system and mechanical system at frequencies less than the synchronous speed, leads to torsional oscillations. Undamped oscillations ma y cause a severe fatigue in the turbine generator shaft system. Rotating component undergoes various modes of oscillations when it is subjected to resonance. Rotor oscillate in different modes such as swing mode, super synchronous mode, electromechanical mode and torsional mode. Rotor dynamics of rotating structure depends on several factors like Coriolis Effect, moment of inertia and stiffness coefficient. Modal analysis using finite element method gives the natural frequency and mode shapes of any rotating structures. In this paper, a two mass rotating system which is analogous to turbine generator is subjected to resonance by adding series capacitors and its dynamic behavior is studied using finite element method. 2018 Lavoisier.
European Journal of Electrical Engineering, Vol-20, No. 4, pp. 455-468.
https://doi.org/10.3166/EJEE.20.455-468 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060720085&doi=10.3166%2fEJEE.20.455-468&partnerID=40&md5=a679573c7f72f27da0ab002d345a95f5
Manikandan P., Department of EEE, Christ, Deemed to be University, Bangalore, Karnataka, India; Khan F.A., Department of EEE, Ghousia College of Engineering, Ramanagaram; Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India
A novel congestion-aware approach for ECC based secured WSN multicasting
Congestion Control; Multicasting; Unequal Clustering; Wireless Sensor Network
--Multicasting in Wireless Sensor Networks greatly reduces the communication complexity between The Base station and set of sensor nodes deployed in a given region. It reduces the number of packets to be sent thus minimizing the chance of congestion. Still the existence of congestion appears due to improper channel utilization resulting in low throughput. In this paper, we have addressed the issue of congestion with reference to WSN multicasting. The Simulation results have shown that our approach is better in terms of throughput and delay compared with existing approaches. 2018, Institute of Advanced Scientific Research, Inc.. All rights reserved.
Raja Vikram G.; Krishna A.V.N.; Shahu Chatrapati K.
Journal of Advanced Research in Dynamical and Control Systems, Vol-10, No. 10, pp. 83-91.
Institute of Advanced Scientific Research, Inc.
Raja Vikram G., Dept. of CSE, Vignan Institute of Technology & Science, Hyderabad, Telangana, India; Krishna A.V.N., Dept. of CSE, Faculty of Engineering, Christ University, Bangalore, India; Shahu Chatrapati K., Dept. of CSE, J.N.T.U.H College of Engineering, Karimnagar, India
Suicidal behavior prediction using data mining techniques
Classification; Data Mining; Depression; Prediction; Risk Factors; Suicide
Background: Suicide is one of the most serious public health problem that has affected many people. After being recognized as a public health priority by the WHO (World Health Organization) various studies have been going out for its prevention. It is one of a serious health problem and it is preventable and can be controlled by proper interventions and study in the field. The objective of the study is to create a prediction model for individuals who are at higher risk of suicide by studying the different predictors of suicide such as depression, anxiety, hopelessness, stress etc. by using data mining techniques for the prediction. Study Design: Systematic review and predictive analysis for suicidal behavior. Methods: The research applies data mining process to analyze the data and on the basis of analysis create the model to predict suicidal behaviors present in the individual. Prediction is done on the basis of analysis of risk factors which are Depression, anxiety, hopelessness, stress, or substance misuse which is calculated by using various psychological measures such as Beck hopelessness scale,suicidal ideation subscale,hospital anxiety and depression scale.Various data mining algorithms for classification are compared for the purpose of prediction. Results: Six different data mining classification algorithms which are namely Classification Via Regression, Logistic Regression. Random Forest, Decision Table, SMO are compared and Classification Via Regression was found to the highest accuracy in prediction. Conclusions: Data required for the development of such a model requires continuous monitoring and needs to be updated on a periodic basis to increase the accuracy of prediction. IAEME Publication.
International Journal of Mechanical Engineering and Technology, Vol-9, No. 4, pp. 293-301.
Joseph A., Department of computer science, Christ University, Bangalore, Karnataka, India; Ramamurthy B., Department of computer science, Christ University, Bangalore, Karnataka, India
Causal relationship between leverage and performance: Exploring Dhaka Stock Exchange
Bangladesh; Capital structure; Firm size; Growth rates; Leverage; Levered firms; Performance
To magnify shareholders' returns, managers employ the use of debt in the firms' capital structure. However, excessive debt financing can often cause financial distress for the firms. In fact, various debt equity ratio levels may lead to different financial performance when compared for high levered and low levered firms. Thus, the aim of this paper is to examine the cause and effect relationship between financial leverage and financial performance of firms. To pursue the purpose, a purposive sample of 163 non-financial firms listed on the Dhaka Stock Exchange (DSE) was selected to conduct this study. Findings indicate that there was no significant difference in the financial performance between high levered and low levered firms, neither in terms of their size nor growth rates. A negative relationship therefore persists between leverage and performance of such firms. Implications of these findings can provide policy guidelines for managers and directions for any further work in this context. Copyright 2018 Inderscience Enterprises Ltd.
International Journal of Business and Globalisation, Vol-20, No. 1, pp. 31-49.
https://doi.org/10.1504/IJBG.2018.088663 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115742193&doi=10.1504%2fIJBG.2018.088663&partnerID=40&md5=330447851180fe6c3c57b2dab3c4e2ec
Nisha N., Department of Accounting and Finance, School of Business and Economics, North South University, Bashundhara, Dhaka, 1229, Bangladesh; Ghosh B., Department of Finance, Institute of Management, Christ University, Hosur Road, Karnataka, Bengaluru, 560029, India
DFT, spectroscopic studies, NBO, NLO and Fukui functional analysis of 1-(1-(2,4-difluorophenyl)-2-(1H-1,2,4-triazol-1-yl)ethylidene) thiosemicarbazide
Density functional theory; HOMO-LUMO; Molecular electrostatic potential; Thiosemicarbazide and Fukui function
A novel triazole derivative 1-(1-(2,4-difluorophenyl)-2-(1H-1,2,4-triazol-1-yl)ethylidene) thiosemicarbazide was synthesized and subjected to density functional theory (DFT) studies employing B3LYP/6-31+G(d,p) basis set. Characterization was done by FT-IR, Raman, mass, 1H NMR and 13C NMR spectroscopic analyses. The stability of the molecule was evaluated from NBO studies. Delocalization of electron charge density and hyper-conjugative interactions were accountable for the stability of the molecule. The dipole moment (?), mean polarizabilty (??) and first order hyperpolarizability (?) of the molecule were calculated. Molecular electrostatic potential studies, HOMO-LUMO and thermodynamic properties were also determined. HOMO and LUMO energies were experimentally determined by Cyclic Voltammetry. 2018 Elsevier B.V.
Zacharias A.O.; Varghese A.; Akshaya K.B.; Savitha M.S.; George L.
Journal of Molecular Structure, Vol-1158, pp. 1-13.
https://doi.org/10.1016/j.molstruc.2018.01.002 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044308358&doi=10.1016%2fj.molstruc.2018.01.002&partnerID=40&md5=25209251b5d093431cd0c6bba4a885dd
Zacharias A.O., Department of Chemistry, Christ University, Bengaluru, 560029, India; Varghese A., Department of Chemistry, Christ University, Bengaluru, 560029, India; Akshaya K.B., Department of Chemistry, Christ University, Bengaluru, 560029, India; Savitha M.S., Department of Chemistry, Christ University, Bengaluru, 560029, India; George L., Department of Chemistry, Christ University, Bengaluru, 560029, India
Provably secure quantum key distribution By applying quantum gate
Authentication; Hadamard gate; QKD; Quantum cryptography; Qubits
The need for Quantum Key Distribution (QKD) is strengthening due to its inalienable principles of quantum mechanics. QKD commences when sender transforms bits into qubits or quantum states by applying photon polarization and sends to the receiver. The qubits are altered when measured in incorrect polarization and cannot be reproduced according to quantum mechanics principles. BB84 protocol is the primary QKD protocol announced in 1984. This paper introduces a new regime of secure QKD using Hadamard quantum gate named as PVK16 QKD protocol. Applying quantum gate to QKD makes tangle to the eavesdroppers to measure the qubits. For a given length of key, it is shown that the error rate is negligible. Also, the authentication procedure using digital certificates prior to QKD is being performed which confers assurance that the communicating entities are legitimate users. It is used as a defensive mechanism on man in the middle attack. The Japan Society for Analytical Chemistry.
Padmavathi V.; Vishnu Vardhan B.; Krishna A.
International Journal of Network Security, Vol-20, No. 1, pp. 88-94.
Padmavathi V., Department of Computer Science and Engineering, Sreenidhi Institute of Science and Technology Hyderabad, Telangana, India; Vishnu Vardhan B., Department of Computer Science and Engineering, JNTUH College of Engineering Karimnagar, Telangana, India; Krishna A., Department of Computer Science and Engineering, Christ University Bengaluru, Karnataka, India
Significance of buoyancy, velocity index and thickness of an upper horizontal surface of a paraboloid of revolution: The case of non-Newtonian carreau fluid
Boundary layer; Carreau fluid; Deborah number; Power-law index; Stretching surface; Thickness parameter
The problem of fluid flow on air-jet weaving machine (i.e. mechanical engineering and chemical engineering) is deliberated upon in this report using the case of non-Newtonian Carreau fluid flow. In this report, the boundary layer flow of the fluid over an upper horizontal surface of a paraboloid of revolution is presented. The dimensional governing equations were nondimensionalized, parameterized, solved numerically and discussed. Maximum horizontal velocity is ascertained at smaller values of thickness parameter, a larger value of buoyancy related parameter and the flow is characterized as shear-thickening. Local skin friction coefficient is an increasing and a decreasing property of Deborah number for Shear thinning and Shear-thickening cases of the flow respectively. The velocity of the flow parallel to the surface (uhspr) is a decreasing property of thickness parameter and increasing function of velocity index parameter. 2018 Trans Tech Publications, Switzerland.
Makinde O.D.; Omojola M.T.; Mahanthesh B.; Alao F.I.; Adegbie K.S.; Animasaun I.L.; Wakif A.; Sivaraj R.; Tshehla M.S.
Defect and Diffusion Forum, Vol-387, pp. 550-561.
https://doi.org/10.4028/www.scientific.net/DDF.387.550 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059481381&doi=10.4028%2fwww.scientific.net%2fDDF.387.550&partnerID=40&md5=6a5d4753d3aed21a507a7f850a4cba09
Makinde O.D., Faculty of Military Science, Stellenbosch University, Private Bag X2, Saldanha, 7395, South Africa; Omojola M.T., Department of Mathematical Sciences, Federal University of Technology, Akure, Nigeria; Mahanthesh B., Department of Mathematics, Christ University, Bangalore, 560029, India; Alao F.I., Department of Mathematical Sciences, Federal University of Technology, Akure, Nigeria; Adegbie K.S., Department of Mathematical Sciences, Federal University of Technology, Akure, Nigeria; Animasaun I.L., Department of Mathematical Sciences, Federal University of Technology, Akure, Nigeria; Wakif A., Mechanical Lab, Casablanca, Hassan II University, Morocco, United States; Sivaraj R., Department of Mathematics, Vellore, 632014, India; Tshehla M.S., Faculty of Military Science, Stellenbosch University, Private Bag X2, Saldanha, 7395, South Africa
UVIT observations of the star-forming ring in NGC 7252: Evidence of possible AGN feedback suppressing central star formation
Galaxies: elliptical and lenticular, cD; Galaxies: evolution; Galaxies: formation; Galaxies: nuclei; Galaxies: star formation; Ultraviolet: galaxies
Context. Some post-merger galaxies are known to undergo a starburst phase that quickly depletes the gas reservoir and turns it into a red-sequence galaxy, though the details are still unclear. Aims. Here we explore the pattern of recent star formation in the central region of the post-merger galaxy NGC 7252 using high-resolution ultraviolet (UV) images from the UVIT on ASTROSAT. Methods. The UVIT images with 1.2 and 1.4 arcsec resolution in the FUV and NUV are used to construct a FUV-NUV colour map of the central region. Results. The FUV-NUV pixel colour map for this canonical post-merger galaxy reveals a blue circumnuclear ring of diameter ?10?? (3.2 kpc) with bluer patches located over the ring. Based on a comparison to single stellar population models, we show that the ring is comprised of stellar populations with ages ? 300 Myr, with embedded star-forming clumps of younger age (? 150Myr). Conclusions. The suppressed star formation in the central region, along with the recent finding of a large amount of ionised gas, leads us to speculate that this ring may be connected to past feedback from a central super-massive black hole that has ionised the hydrogen gas in the central ?4?? ?1.3 kpc. ESO 2018.
George K.; Joseph P.; Mondal C.; Devaraj A.; Subramaniam A.; Stalin C.S.; CP.; Ghosh S.K.; Hutchings J.B.; Mohan R.; Postma J.; Sankarasubramanian K.; Sreekumar P.; Tandon S.N.
All Open Access; Bronze Open Access; Green Open Access
George K., Indian Institute of Astrophysics, Koramangala II Block, Bangalore, India; Joseph P., Indian Institute of Astrophysics, Koramangala II Block, Bangalore, India, Department of Physics, Christ University, Bangalore, India; Mondal C., Indian Institute of Astrophysics, Koramangala II Block, Bangalore, India; Devaraj A., Indian Institute of Astrophysics, Koramangala II Block, Bangalore, India; Subramaniam A., Indian Institute of Astrophysics, Koramangala II Block, Bangalore, India; Stalin C.S., Indian Institute of Astrophysics, Koramangala II Block, Bangalore, India; CP., National Research Council of Canada, Herzberg Astronomy and Astrophysics Research Centre, Victoria, Canada; Ghosh S.K., National Centre for Radio Astrophysics, Pune, India, Tata Institute of Fundamental Research, Mumbai, India; Hutchings J.B., National Research Council of Canada, Herzberg Astronomy and Astrophysics Research Centre, Victoria, Canada; Mohan R., Indian Institute of Astrophysics, Koramangala II Block, Bangalore, India; Postma J., University of Calgary, Calgary, AB, Canada; Sankarasubramanian K., Indian Institute of Astrophysics, Koramangala II Block, Bangalore, India, ISRO Satellite Centre, HAL Airport Road, Bangalore, India; Sreekumar P., Indian Institute of Astrophysics, Koramangala II Block, Bangalore, India; Tandon S.N., Indian Institute of Astrophysics, Koramangala II Block, Bangalore, India, Inter-University Center for Astronomy and Astrophysics, Pune, India
A hybrid algorithm for face recognition using PCA, LDA and ANN
Face recognition is an evolving technique in the field of digital device security. The two procedures Principal Component Analysis and Linear Discriminant Analysis (LDA) are standard methodologies commonly used for feature extraction and dimension reduction techniques extensively used in the recognition of face system. This paper discourse, PCA trailed through a feed forward neural network (FFNN) called PCA-neural network and LDA trailed through feed forward neural network as LDA-neural network are considered for development of hybrid face recognition algorithm. In the current research work, a hybrid model of face recognition is presented with the integration of PCA, LDA, and FFNN. The proposed system experimental results indicate better performance compared to the state of the art literature methods. IAEME Publication.
International Journal of Mechanical Engineering and Technology, Vol-9, No. 3, pp. 85-93.
Manukumar N.M., Department of Computer Science, Christ University, Hosur Road, Bengaluru, India; Hiremath M., Department of Computer Science, Christ University, Hosur Road, Bengaluru, India
Smart songs selection in playlists using parallel k-means clustering
Hadoop; Parallel K-means clustering; Pitch; Tempo; Variation
Most songs today are of different tempo, pitch and time signature. In a music player application, the typical shuffle picks the succeeding song or preceding song at random with no parameters to choose the songs. Different songs from different genres can have a tempo range anywhere between forty beats per minute and three hundred beats per minute. In this paper, the quick and efficient parallel k means clustering algorithm is implemented in Hadoop on the million-song dataset subset to form clusters for the songs based on tempo and pitch. The aim of this paper is to reduce the variation that occurs when a typical shuffle picks the succeeding song at random. This variation can be in the form of tempo or other parameters. The formation of clusters and intern the reduction in the variation of tempo can be used in a new 'smart shuffle'. After the clusters have been formed, the smart shuffle picks the songs within that specific cluster. This paper aims at reducing the variation by 50%. This would have many musical benefits and would also be more pleasing to the listener. 2018 IAEME Publication.
International Journal of Civil Engineering and Technology, Vol-9, No. 3, pp. 778-788.
Manoj P., Department of Computer Science, Christ Deemed to Be University, Hosur Road, Bhavani Nagar, Bengaluru, Karnataka, 560029, India; Saleema J.S., Department of Computer Science, Christ Deemed to Be University, Hosur Road, Bhavani Nagar, Bengaluru, Karnataka, 560029, India
Potential flow simulation through Lagrangian interpolation meshless method coding
Flow simulation; Lagrangian interpolation; Meshless coding
From the past many decades, mesh generation posed many challenges in the field of computational sciences for many researches. High rise in computational power has enabled many researches to tackle the problems of complex geometries. Due to the high need of computational power, computational cost also increased abruptly. In today's world, many academic and industry researches are willing to increase the use of present simulation technology; mesh generation plays a vital role in this aspect. we can say that many real-world simulation problems are dependent on mesh generation which has more chances in giving an inaccurate simulation results. In order to make the simulation process simpler, Meshless methods are introduced to the field of Computational Fluid Dynamics. This technique requires a less computational power compared to the computational power needed for generating the mesh. In the present dissertation, our main objective is to develop a scheme for Meshless method for the field of Computational Fluid Dynamics for flow over a blunt body. The performance of the present scheme is evaluated by comparing the simulation results with existing experimental data and also compared with the results obtained by generation of mesh using commercial CFD software. 2018 Isfahan University of Technology.
Avudaiappan T.; Vijayan V.; Sundara Pandiyan S.; Saravanan M.; Dinesh S.
Journal of Applied Fluid Mechanics, Vol-11, No. Specialissue, pp. 129-134.
https://doi.org/10.36884/jafm.11.SI.29429 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054689154&doi=10.36884%2fjafm.11.SI.29429&partnerID=40&md5=199bac9063b97b56caec42083a67055f
Avudaiappan T., K. Ramakrishnan College of Technology, Trichy, Tamilnadu, India; Vijayan V., K. Ramakrishnan College of Technology, Trichy, Tamilnadu, India; Sundara Pandiyan S., Christ (Deemed to be University), Bengaluru, Karnataka, India; Saravanan M., SRM Institute of Science and Technology, Kattankulathur, Tamilnadu, India; Dinesh S., K. Ramakrishnan College of Technology, Trichy, Tamilnadu, India
Microscale screen printing of large-area arrays of microparticles for the fabrication of photonic structures and for optical sorting
There are a limited number of methods applicable to the large-scale fabrication of arrays of discrete microparticles; however, such methods can be applied to the fabrication of structures applicable to photonics, barcoding, and optoelectronics. This manuscript describes a universal method, "microparticle screen printing" (?SP), for the rational patterning of micron-scale particles onto a variety of 2D substrates with diverse mechanical and chemical properties. Specifically, an array of microparticles of different sizes and compositions were patterned onto an array of materials of varying chemistry and stiffness using ?SP yielding a diversity of homo/heterogeneous microparticle-based structures. Further, this manuscript reports how the Young's moduli of the substrate can be used to calculate contact area and thus interaction energies (quantified using Hamaker constants) between the particle/substrate during ?SP. Generally, ?SP is most effective for substrates with low Young's moduli and large Hamaker constants (A132) with the target particles, as confirmed by the performance (quantified using yield and accuracy metrics) of ?SP for the different empirically investigated particle/substrate combinations. These understandings allow for the design of optimal surface/particle pairing for ?SP and were applied to the fabrication of a diversity of heterogeneous structures, including those with periodic vacancies in HCP (hexagonally closed packed) 2D photonic crystal useful to structural optics, optical particle screening useful to chemical assays, and the fabrication of structural barcodes useful for labeling and anticounterfeiting. 2018 The Royal Society of Chemistry.
Journal of Materials Chemistry C, Vol-6, No. 44, pp. 12031-12037.
https://doi.org/10.1039/c8tc02978d https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056852610&doi=10.1039%2fc8tc02978d&partnerID=40&md5=b6904f07141d1b90da0c6136e1947d81
Rose M.A., Dept. of Chemistry, University of Nebraska-Lincoln, Hamilton Hall, Lincoln, 68588, NE, United States; Vinod T.P., Dept. of Chemistry, University of Nebraska-Lincoln, Hamilton Hall, Lincoln, 68588, NE, United States, Department of Chemistry, CHRIST (Deemed to Be University), Hosur Road, Bengaluru, 560029, India; Morin S.A., Dept. of Chemistry, University of Nebraska-Lincoln, Hamilton Hall, Lincoln, 68588, NE, United States, Nebraska Center for Materials and Nanoscience, University of Nebraska-Lincoln, Lincoln, 68588, NE, United States