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
Anti-phishing; Cyber security; Identity theft; Phishing; Social engineering
Phishing attack is one of the most common form of attack used to get unauthorized access to users' credentials or any other sensitive information. It is classified under social engineering attack, which means it is not a technical vulnerability. The attacker exploits the human nature to make mistake by fooling the user to think that a given web page is genuine and submitting confidential data into an embedded form, which is harvested by the attacker. A phishing page is often an exact replica of the legitimate page, the only noticeable difference is the URL. Normal users do not pay close attention to the URL every time, hence they are exploited by the attacker. This paper suggests a login framework which can be used independently or along with a browser extension which will act as a line of defense against such phishing attacks. The semi-automated login mechanism suggested in this paper eliminates the need for the user to be alert at all time, and it also provides a personalized login screen so that the user can to distinguish between a genuine and fake login page quite easily. 2018 Authors.
International Journal of Engineering and Technology(UAE), Vol-7, No. 3, pp. 42-46.
https://doi.org/10.14419/ijet.v7i3.4.14673 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082374593&doi=10.14419%2fijet.v7i3.4.14673&partnerID=40&md5=65688aa0f2d3603962cb604da2c8213e
Kalloor E.A., Department of Computer Science, Christ University, Bengaluru, 560029, India; Mishra M.K., Department of Computer Science, Banaras Hindu University, Varanasi, 221005, India; Paulose J., Department of Computer Science, Christ University, Bengaluru, 560029, India
Data analysis in road accidents using ann and decision tree
ANN; Back Propagation.; Data analysis; Decision tree; Machine learning; Prediction/Classification; Road accident
Road accidents have become some of the main causes for fatal death globally. A report tells that road accident is the major cause for high death rate other than wars and diseases. A study by World Health Organization (WHO), Global status report on road safety 2015 says over 1.24 million people die every year due to road accidents worldwide and it even predicts by 2020 this number can even increase by 20-50%. This can affect the GDP of the Country, for developing countries this can affect adversely. This paper shows the use of data analytics techniques to build a prediction model for road accidents, so that these models can be used in real time scenario to make some policies and avoid accidents. This paper has identified the attributes which has high impact on accident severity class label. IAEME Publication.
International Journal of Civil Engineering and Technology, Vol-9, No. 4, pp. 214-221.
Kumar R.R., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Ramamurthy B., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India
Riding the waves of culture: An empirical study on acclimatization of expatriates in IT industry
Acclimatization; Career support practices; Expatriates; Host country; Work culture
The forces of globalization and subsequent trade across the borders have necessitated the firms to have their presence across the globe to meet the needs of their customers. The employees or expatriates will be sent on assignment to different countries for a period of time ranging from few weeks, months to years. This sudden exposure to the different environment not only makes these expatriates vulnerable to cultural shocks, but also may significantly affect their job performance. Their failure to acclimatize to the foreign conditions will not only hurt the confidence, career and life of the expatriate, but it will also cost a lot to the company. The present paper aims to understand of the process of expatriate adjustment in the Indian Information Technology (IT) industry by examining demographic variables and few organizational variables of expatriate's adjustment process. A structured questionnaire was distributed to the expatriate employees working in 50 IT companies in the Silicon city, Bengaluru. The study uses Chi-square test and linear regression for testing the hypotheses and found that there is a significant influence of demographic variables like gender, work experience and length of assignment on acclimatization of expatriates to their host country culture. The findings of the study proved that there is a significant relationship between demographic variables and the cultural acceptance of the expatriates. Hence, it is suggested that multinational companies should create an enabling environment within the organizations to make international assignees compatible and comfortable with different cultural values and inculcate cultural acceptance to make them successful in their international assignments. Raghavendra A. N., A. Shivakanth Shetty, 2018.
Problems and Perspectives in Management, Vol-16, No. 3, pp. 432-442.
https://doi.org/10.21511/ppm.16(3).2018.34 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053635929&doi=10.21511%2fppm.16%283%29.2018.34&partnerID=40&md5=c37cf74aa96dcd0424834de5d1392ccd
Shivakanth Shetty A., Institute of Management, Christ University, India; Raghavendra A.N., Department of Management Studies, Christ University, India
Short term effects of brief need based psychoeducation on knowledge, self-stigma, and burden among siblings of persons with schizophrenia: A prospective controlled trial
Brief psychoeducation; Burden; Knowledge; Schizophrenia; Self-stigma; Sibling
Siblings of persons with schizophrenia are important in providing long-term social support to the patients. Interventions addressing their needs are very sparse. Hence, this study aimed at testing the short-term effects of brief need based psychoeducation on knowledge, self-stigma, and burden among siblings of persons with schizophrenia. In this prospective controlled open label trial, 80 siblings of persons with schizophrenia were allocated in equal numbers to the brief need based psychoeducation group and the treatment-as-usual group. The outcomes were measured at baseline, and after the first and third month post-intervention. RM-ANCOVA was conducted to test the effect of the brief psychoeducation on outcome scores. The groups were similar with respect to socio-demographic, clinical, and outcome scores at the baseline. There was a significant group time interaction effect on knowledge (F = 8.71; p < 0.01; ?p 2 = 0.14) and self-stigma scores (F = 14.47; p < 0.001; ?p 2 = 0.21), wherein the brief psychoeducation group showed a significant increase in knowledge and reduction in self-stigma with medium effect size through baseline to the third month follow-up as compared to the treatment as usual group. We also observed a significant main effect of time; irrespective of the group allocation, there was a significant increase in the knowledge through baseline to third month follow-up (F = 5.69; p = 0.02; ?p 2 = 0.09). No main or interaction effects of group and time were observed on burden. The findings suggest that brief need based psychoeducation may increase knowledge about the illness and reduce self-stigma. Further systematic studies are warranted to test this intervention for long-term effects. 2017 Elsevier B.V.
Amaresha A.C.; Kalmady S.V.; Joseph B.; Agarwal S.M.; Narayanaswamy J.C.; Venkatasubramanian G.; Muralidhar D.; Subbakrishna D.K.
Asian Journal of Psychiatry, Vol-32, pp. 59-66.
https://doi.org/10.1016/j.ajp.2017.11.030 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85036582229&doi=10.1016%2fj.ajp.2017.11.030&partnerID=40&md5=671b1c3baebcb136e50d60c150b8b1fc
Amaresha A.C., Department of Social Work, Christ University, Bengaluru, 560029, India; Kalmady S.V., Department of Psychiatry, University of Alberta, Edmonton, T6G 2E8, Alberta, Canada; Joseph B., Department of Psychiatric Social Work and the Schizophrenia Clinic, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India; Agarwal S.M., Department of Psychiatry and the Schizophrenia Clinic, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India; Narayanaswamy J.C., Department of Psychiatry and the Schizophrenia Clinic, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India; Venkatasubramanian G., Department of Psychiatry and the Schizophrenia Clinic, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India; Muralidhar D., Department of Psychiatric Social Work and the Schizophrenia Clinic, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India; Subbakrishna D.K., Department of Biostatistics, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India
De novo synthesis of 2,2-bis(dimethylamino)-3-alkyl or benzyl 2,3-dihydroquinazolin-4(1H)-one compounds
2,2-Bis(dimethylamino)-3-alkyl or benzyl 2,3-dihyroquinazoline-4(1H)-one; annulation; isatoic anhydride; oxalyl chloride; Vilsmeier reagent
A new versatile and efficient strategy for the synthesis of 2,2-bis(dimethylamino)-3-alkyl or benzyl 2,3-dihydroquinazoline-4(1H)-one compounds has been developed by one-pot multicomponent reaction with isatoic anhydride, amines followed by in situ-generated Vilsmeier reagent. The reaction has also been studied with different amines and solvents. 2017 Taylor & Francis.
Jaganmohan C.; Vinay Kumar K.P.; Sandeep Reddy G.; Mohanty S.; Kumar J.; Venkateswara R.; Tadiparthi K.; Raghunadh A.
Synthetic Communications, Vol-48, No. 2, pp. 168-174.
Jaganmohan C., Dr. Reddys Laboratories Limited, API Plant, IDA Bollaram, Hyderabad, India, Department of Organic Chemistry & Chemistry of Foods, Drugs and Water Analysis, Andhra University, Visakhapatnam, Andhra Pradesh, India; Vinay Kumar K.P., Dr. Reddys Laboratories Limited, API Plant, IDA Bollaram, Hyderabad, India; Sandeep Reddy G., Dr. Reddys Laboratories Limited, API Plant, IDA Bollaram, Hyderabad, India; Mohanty S., Dr. Reddys Laboratories Limited, API Plant, IDA Bollaram, Hyderabad, India; Kumar J., Dr. Reddys Laboratories Limited, API Plant, IDA Bollaram, Hyderabad, India; Venkateswara R., Department of Organic Chemistry & Chemistry of Foods, Drugs and Water Analysis, Andhra University, Visakhapatnam, Andhra Pradesh, India; Tadiparthi K., Department of Chemistry, Christ University, Bangalore, India; Raghunadh A., Dr. Reddys Laboratories Limited, API Plant, IDA Bollaram, Hyderabad, India
Semantic image annotation using convolutional neural network and WordNet ontology
Convolutional neural networks; Deep learning; Image annotation; Semantic labeling; WordNet ontology
Images are a major source of content on the web. The increase in mobile phones and digital cameras have led to huge amount of non-textual data being generated which is mostly images. Accurate annotation is critical for efficient image search and retrieval. Semantic image annotation refers to adding meaningful meta-data to an image which can be used to infer additional knowledge from an image. It enables users to perform complex queries and retrieve accurate image results. This paper proposes an image annotation technique that uses deep learning and semantic labeling. A convolutional neural network is used to classify images and the predicted class labels are mapped to semantic concepts. The results shows that combining semantic class labeling with image classification can help in polishing the results and finding common concepts and themes. 2018 Jaison Saji Chacko, Tulasi B.
International Journal of Engineering and Technology(UAE), Vol-7, No. 2.27 Special Issue 27, pp. 56-60.
Chacko J.S., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Tulasi B., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India
The facile and efficient organocatalytic platform for accessing 1,2,4-selenadiazoles and thiadiazoles under aerobic conditions
1,2,4-Selenodiazoles; 1,2,4-Thiadiazoles; Aeorbic oxidative cyclization; Organocatalysis; Thiourea; Vitamin B3
The first organocatalytic approach towards synthesis of rarely explored 1,2,4-selenadiazole and thiadiazole scaffolds have been devised using corresponding carboxamides as substrates. The transformations were realized using two distinct conditions in the presence of catalytic vitamin B3 or thiourea under aerobic conditions. Developed methods overcome the associated limitations of previous reported approaches and the desired products were obtained in high yields and selectivity without the formation of toxic side-products. 2018 Elsevier Ltd
Putta V.P.R.K.; Gujjarappa R.; Vodnala N.; Gupta R.; Pujar P.P.; Malakar C.C.
Tetrahedron Letters, Vol-59, No. 10, pp. 904-908.
https://doi.org/10.1016/j.tetlet.2018.01.063 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041217845&doi=10.1016%2fj.tetlet.2018.01.063&partnerID=40&md5=94b320025e572150a640c3ca3821f3bc
Putta V.P.R.K., Department of Medicinal Chemistry, Jubilant Biosys, Bangalore, 560022, Karnataka, India, Depeartment of Chemistry, Christ University, Bangalore, 560029, India; Gujjarappa R., Department of Chemistry, National Institute of Technology Manipur, Imphal, 795004, Manipur, India; Vodnala N., Department of Chemistry, National Institute of Technology Manipur, Imphal, 795004, Manipur, India; Gupta R., Department of Chemistry, National Institute of Technology Manipur, Imphal, 795004, Manipur, India; Pujar P.P., Depeartment of Chemistry, Christ University, Bangalore, 560029, India; Malakar C.C., Department of Chemistry, National Institute of Technology Manipur, Imphal, 795004, Manipur, India
Excitation Mechanism of Oi Lines in Herbig Ae/Be Stars
circumstellar matter; infrared: stars; stars: pre-main sequence; stars: variables: T Tauri, Herbig Ae/Be; techniques: spectroscopic
We have investigated the role of a few prominent excitation mechanisms viz. collisional excitation, recombination, continuum fluorescence, and Lyman beta fluorescence on the O i line spectra in Herbig Ae/Be stars. The aim is to understand which of them is the central mechanism that explains the observed O i line strengths. The study is based on an analysis of the observed optical spectra of 62 Herbig Ae/Be stars and near-infrared spectra of 17 Herbig Ae/Be stars. The strong correlation observed between the line fluxes of O i ?8446 and O i ?11287, as well as a high positive correlation between the line strengths of O i ?8446 and H? suggest that Lyman beta fluorescence is the dominant excitation mechanism for the formation of O i emission lines in Herbig Ae/Be stars. Furthermore, from an analysis of the emission line fluxes of O i ??7774, 8446, and comparing the line ratios with those predicted by theoretical models, we assessed the contribution of collisional excitation in the formation of O i emission lines. 2018 The American Astronomical Society. All rights reserved..
Mathew B.; Manoj P.; Narang M.; Banerjee D.P.K.; Nayak P.; Muneer S.; Vig S.; Pramod Kumar S.; Paul K.T.; Maheswar G.
All Open Access; Bronze Open Access; Green Open Access
https://doi.org/10.3847/1538-4357/aab3d8 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045569557&doi=10.3847%2f1538-4357%2faab3d8&partnerID=40&md5=37108d55c257156b2e1fe3e227bb16cd
Mathew B., Department of Physics, Christ University, Hosur Road, Bangalore, 560029, India, Department of Astronomy and Astrophysics, Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai, 400005, India; Manoj P., Department of Astronomy and Astrophysics, Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai, 400005, India; Narang M., Department of Astronomy and Astrophysics, Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai, 400005, India; Banerjee D.P.K., Astronomy and Astrophysics Division, Physical Research Laboratory, Navrangapura, Ahmedabad, 380 009, India; Nayak P., Indian Institute of Space Science and Technology (IIST), Trivandrum, India; Muneer S., Indian Institute of Astrophysics, Koramangala, Bangalore, 560034, India; Vig S., Indian Institute of Space Science and Technology (IIST), Trivandrum, India; Pramod Kumar S., Indian Institute of Astrophysics, Koramangala, Bangalore, 560034, India; Paul K.T., Department of Physics, Christ University, Hosur Road, Bangalore, 560029, India; Maheswar G., Indian Institute of Astrophysics, Koramangala, Bangalore, 560034, India
Non-linear convection in chemically reacting fluid with an induced magnetic field across a vertical porous plate in the presence of heat source/sink
Analytical solution; Chemical reaction; Heat source/sink; Induced magnetic field; Magnetic field; Nonlinear convection
An investigation is carried out to observe the impacts of non-linear convection and induced magnetic field in the flow of viscous fluid over a porous plate under the influence of chemical reaction and heat source/sink. The plate is subjected to a regular free stream velocity as well as a suction velocity. The subjected non-linear problem is non-dimensionalized and analytic solutions are presented via perturbation method. The graphs are plotted to analyze the effect of relevant parameters on velocity, induced magnetic field, heat and mass transfer fields as well as friction factor, current density, Nusselt and Sherwood numbers. It is established that nonlinear convection aspect is destructive for thermal field and its layer thickness. The magnetic field effect enhances the thermal field while it reduces the velocity field. Also, the nonlinear effect subsides heat transfer rate significantly. 2018 Trans Tech Publications, Switzerland.
Athira P.R.; Mahanthesh B.; Gireesha B.J.; Makinde O.D.
Defect and Diffusion Forum, Vol-387, pp. 428-441.
https://doi.org/10.4028/www.scientific.net/DDF.387.428 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059468068&doi=10.4028%2fwww.scientific.net%2fDDF.387.428&partnerID=40&md5=a14110071ffab37aeede26abc282535e
Athira P.R., Department of Mathematics, Christ University, Bangalore, 560029, India; Mahanthesh B., Department of Mathematics, Christ University, Bangalore, 560029, India; Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shimoga, 577 451, India; Makinde O.D., Faculty of Military Science, Stellenbosch University, Saldanha, 7395, South Africa
Segmentation and identification of MRI Brain segment in digital image
Classification; Image processing; MRI; Pattern recognition; Segmentation
Brain image segmentation is important in the area of clinical diagnosis. MRI Brain image segmentation is time consuming and there is always a chance of occurrence of error when the segmentation is done manually. It is always possible to detect the infected tissues easily in the current medical field. However, the accuracy and the characteristics of abnormalities of the tissues are not precise. In the past, many researchers have identified the drawbacks of manual segmentation and hence proposed the semiautomatic and fully automatic segmentation methods in the field of medical imaging. The amount of precision about the detection of defective tissues leads to acceptance of a particular image segmentation method. In this article three segmentation methods are hybridized to get the optimum extraction of the region of interest (ROI) in brain MRI image. Further, the region properties of segment is extracted and stored as knowledgebase. The proposed algorithm integrates multiple segmentation methods and identifies the Brain Outer layer in MRI image. This identification AIDS medical experts for optimum diagnosis of defective tissues in the brain. IAEME Publication.
International Journal of Mechanical Engineering and Technology, Vol-9, No. 3, pp. 174-183.
Basil T., Department of Computer Science, Christ University, Hosur Road, Bengaluru, India; Hiremath M., Department of Computer Science, Christ University, Hosur Road, Bengaluru, India
Prevalence and predictors of diabetes among adults in rural Dharwad, India: A cross-sectional study
Anthropometric; Diabetes; Pre-Diabetes; Prevalence; Risk factors; Sociodemographic
Objective: Diabetes is a long life chronic non-communicable disease and emerging fast as one of the most serious health problems in developed and developing countries, also influences the risk of developing macrovascular complication including heart disease and stroke which are the leading causes of global death. This study aims to find the potential risk factors associated to diabetes among different community (Government, Private employees, and Businessmen) of adults 20 years and above. Methods: A cross-sectional study followed and conducted door-to-door survey using World Health Organization STEP Surveillance (WHO STEPS) questionnaire to collect the information of sociodemographic, anthropometric and behavioral characteristics. Multiple logistic regression is used to determine the risk factors of diabetes among study population. Data was pre-processed and used Chi-square test and t-test to find the comparison between the attributes. Results: Overall prevalence of diabetes is found to be 49.1% in which prevalence more in females with 51.7% than in males with 46.8%, the education, health examination, and waist circumference were found to be the potential risk factors. The total study subjects include 1083 in which male is 611 and female is 472. Conclusion: The current study reflects the importance of Diabetes disease among the study population in rural Dharwad and this study can be utilized to control and prevent diabetes. Its an early call for the females of the study population to take care and practice healthy food in day today life and the outcome of the study says that the education should be given prime importance in everyones life. 2018 The Authors.
Asian Journal of Pharmaceutical and Clinical Research, Vol-11, No. 5, pp. 94-99.
https://doi.org/10.22159/ajpcr.2018.v11i5.23582 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046265624&doi=10.22159%2fajpcr.2018.v11i5.23582&partnerID=40&md5=43fe14ff8d4f55a48ebb0741b466611c
Tamboli S.S., Department of Computer Science, Christ (Deemed to be University), Bengaluru, 560029, Karnataka, India; Ramamurthy B., Department of Computer Science, Christ (Deemed to be University), Bengaluru, 560029, Karnataka, India
Facial pain expression recognition in real-time videos
Recognition of pain in patients who are incapable of expressing themselves allows for several possibilities of improved diagnosis and treatment. Despite the advancements that have already been made in this field, research is still lacking with respect to the detection of pain in live videos, especially under unfavourable conditions. To address this gap in existing research, the current study proposed a hybrid model that allowed for efficient pain recognition. The hybrid, which consisted of a combination of the Constrained Local Model (CLM), Active Appearance Model (AAM), and Patch-Based Model, was applied in conjunction with image algebra. This contributed to a system that enabled the successful detection of pain from a live stream, even with poor lighting and a low-resolution recording device. The final process and output allowed for memory for storage that was reduced up to 40%-55% and an improved processing time of 20%-25%. The experimental system met with success and was able to detect pain for the 22 analysed videos with an accuracy of 55.75%-100.00%. To increase the fidelity of the proposed technique, the hybrid model was tested on UNBC-McMaster Shoulder Pain Database as well. 2018 Pranti Dutta and Nachamai M.
Journal of Healthcare Engineering, Vol-2018
All Open Access; Gold Open Access; Green Open Access
Dutta P., Department of Computer Science, Christ University, Bengaluru, 560029, India; Nachamai M., Siemens India, Bengaluru, 560100, India
Determination of the size of the dust torus in H0507+164 through optical and infrared monitoring
Galaxies: active; Galaxies: Seyfert; Quasars: individual: H0507+164
The time delay between flux variations in different wavelength bands can be used to probe the inner regions of active galactic nuclei (AGNs). Here, we present the first measurements of the time delay between optical and near-infrared (NIR) flux variations in H0507+164, a nearby Seyfert 1.5 galaxy at z = 0.018. The observations in the optical V-band and NIR J, H, and Ks bands carried over 35 epochs during the period 2016 October to 2017 April were used to estimate the inner radius of the dusty torus. From a careful reduction and analysis of the data using cross-correlation techniques, we found delayed responses of the J, H, and Ks light curves to the V-band light curve. In the rest frame of the source, the lags between optical and NIR bands are found to be 27.1-12.0 +13.5 d (V versus J), 30.4-12.0 +13.9 d (V versus H) and 34.6-9.6 +12.1 d (V versus Ks). The lags between the optical and different NIR bands are thus consistent with each other. The measured lags indicate that the inner edge of dust torus is located at a distance of 0.029 pc from the central ultraviolet/optical AGN continuum. This is larger than the radius of the broad line region of this object determined from spectroscopic monitoring observations thereby supporting the unification model of AGN. The location of H0507+164 in the ?-MV plane indicates that our results are in excellent agreement with the now known lag-luminosity scaling relationship for dust in AGN. 2018 The Author(s).
Mandal A.K.; Rakshit S.; Kurian K.S.; Stalin C.S.; Mathew B.; Hoenig S.; Gandhi P.; Sagar R.; Pandge M.B.
Monthly Notices of the Royal Astronomical Society, Vol-475, No. 4, pp. 5330-5337.
https://doi.org/10.1093/mnras/sty200 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052520742&doi=10.1093%2fmnras%2fsty200&partnerID=40&md5=b8144b74e4a1492ef13dbe09313c36d8
Mandal A.K., Department of Physics, Christ University, Hosur Road, Bangalore, 560 029, India, Indian Institute of Astrophysics, Block II, Koramangala, Bangalore, 560 034, India; Rakshit S., Indian Institute of Astrophysics, Block II, Koramangala, Bangalore, 560 034, India, Astronomy Program, Department of Physics and Astronomy, Seoul National University, Seoul, 151-742, South Korea; Kurian K.S., Indian Institute of Astrophysics, Block II, Koramangala, Bangalore, 560 034, India; Stalin C.S., Indian Institute of Astrophysics, Block II, Koramangala, Bangalore, 560 034, India; Mathew B., Department of Physics, Christ University, Hosur Road, Bangalore, 560 029, India; Hoenig S., Department of Physics and Astronomy, University of Southampton, Southampton, SO17 1BJ, United Kingdom; Gandhi P., Department of Physics and Astronomy, University of Southampton, Southampton, SO17 1BJ, United Kingdom; Sagar R., Indian Institute of Astrophysics, Block II, Koramangala, Bangalore, 560 034, India; Pandge M.B., Dayanand Science College, Barshi Road, Latur, Maharashtra, 413512, India
On the rainbow neighbourhood number of Mycielski type graphs
Color classes; Rainbow neighbourhood; Rainbow neighbourhood number
A rainbow neighbourhood of a graph G is the closed neighbourhood N[v] of a vertex v ? V (G) which contains at least one colored vertex of each color in the chromatic coloring C of G. Let G be a graph with a chromatic coloring C defined on it. The number of vertices in G yielding rainbow neighbourhoods is called the rainbow neighbourhood number of the graph G, denoted by rX(G). In this paper, we discuss the rainbow neighbourhood number of the Mycielski type graphs of graphs. 2018 Academic Publications.
Sudev N.K.; Susanth C.; Kalayathankal S.J.
International Journal of Applied Mathematics, Vol-31, No. 6, pp. 797-803.
https://doi.org/10.12732/ijam.v31i6.8 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067694169&doi=10.12732%2fijam.v31i6.8&partnerID=40&md5=ae27172df860779e1d771dff92cbbcdb
Sudev N.K., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Susanth C., Department of Mathematics, Vidya Academy of Science and Technology Thalakkottukara, Thrissur, 680501, India; Kalayathankal S.J., Department of Mathematics, Kuriakose Elias College, Mannanam, Kottayam, 686561, India
Analysis of supervised and unsupervised technique for authentication dataset
Authentication; Classification; Clustering; Supervised learning; Unsupervised learning
Traditional methods of data storage vary from the present. These days data has become more unstructured and requires to be read contextually. Data Science provides a platform for the community to perform artificial intelligence and deep learning methodologies on large volumes of structured and unstructured data. In the era of artificial intelligence, AI is showing it's true potential by addressing social causes and automation in various industries such as automobile, medicine and smart buildings, healthcare, retail, banking, and finance service are some of the deliverables. From a variety of sources and flooding data, AI and machine learning are finding real-world adoption and applications. The nature of the data models is trial and error and is prone to change with their discoveries for the specific problem and this is the case with the different algorithms used. In this paper, we apply machine learning algorithms such as unsupervised learning k-means, bat k-means and supervised learning decision tree, k-NN, support vector machine, regression, discriminant analysis, ensemble classification for data set taken from UCI repository, phishing website, website phishing, Z- Alizadeh Sani and authentication datasets. Authentication dataset is generated for testing Single Sign-on which learns from data by training to make predictions. 2018Rahul K. Dubey, P. K. Nizar Banu.
International Journal of Engineering and Technology(UAE), Vol-7, No. 4, pp. 2867-2873.
https://doi.org/10.14419/ijet.v7i4.9564 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057806369&doi=10.14419%2fijet.v7i4.9564&partnerID=40&md5=75c22c079386a1fd5056f64e1965de83
Dubey R.K., Department of computer science, CHRIST (Deemed to be University), Bengaluru, India; Nizar Banu P.K., Department of computer science, CHRIST (Deemed to be University), Bengaluru, India
Nonlinear Gravitational and Radiation Aspects in Nanoliquid with Exponential Space Dependent Heat Source and Variable Viscosity
Heat source; Liquid propellant rocket; Nanofluid; Nonlinear convection; Variable viscosity; Viscous dissipation
The nonlinear convective flow of kerosene-Alumina nanoliquid subjected to an exponential space dependent heat source and temperature dependent viscosity is investigated here. This study is focuses on augmentation of heat transport rate in liquid propellant rocket engine. The kerosene-Alumina nanoliquid is considered as the regenerative coolant. Aspects of radiation and viscous dissipation are also covered. Relevant nonlinear system is solved numerically via RK based shooting scheme. Diverse flow fields are computed and examined for distinct governing variables. We figured out that the nanoliquids temperature increased due to space dependent heat source and radiation aspects. The heat transfer rate is higher in case of changeable viscosity than constant viscosity. 2018, Springer Science+Business Media B.V., part of Springer Nature.
Gireesha B.J.; Kumar P.B.S.; Mahanthesh B.; Shehzad S.A.; Abbasi F.M.
Microgravity Science and Technology, Vol-30, No. 3, pp. 257-264.
Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shimoga, Karnataka, 577451, India; Kumar P.B.S., Department of Studies and Research in Mathematics, Kuvempu University, Shimoga, Karnataka, 577451, India; Mahanthesh B., Department of Studies and Research in Mathematics, Kuvempu University, Shimoga, Karnataka, 577451, India, Department of Mathematics, Christ University, Bengaluru, Karnataka, 560029, India; Shehzad S.A., Department of Mathematics, COMSATS Institute of Information Technology, Sahiwal, Pakistan; Abbasi F.M., Department of Mathematics, COMSATS Institute of Information Technolohy, Islamabad, 44000, Pakistan
Facile synthesis of preformed mixed nano-carbon structure from low rank coal
Carbon nanodots; Gondwana coal; Graphene layers; Mixed structure; Nano-diamonds; Quantum dots; Tertiary coal
Coal is a natural energy resource which is mainly used for energy production via combustion. Coal has nanocrystals embedded in it, formed during the coalification process, and is an ideal precursor for nano-carbon dots and diamonds. Herein, we report a facile top-down method to synthesise nanodots and diamonds of the size of 5 nm to 10 nm from three different types of coal by simple chemical leaching. TEM analysis revealed the formation of a mixture of carbon dots, graphene layers, and quantum dots in bituminous coal and sub-bituminous coal. Raman analysis confirmed the existence of synthesized nano-diamond and nano-carbon mixed phase with defects associated with it. It is concluded that graphene quantum dots, nano-diamonds, graphene sheets and carbon dots present in coal can be extracted by simple chemical treatment. These structures can be tuned to photoluminescent material for various optoelectronic applications or energy harvesting devices like super capacitors. 2018. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Materials Science- Poland, Vol-36, No. 1, pp. 14-20.
https://doi.org/10.1515/msp-2018-0026 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054877250&doi=10.1515%2fmsp-2018-0026&partnerID=40&md5=a665aca8f5f0de6caa502bee6362d33d
Manoj B., Department of Physics, Christ University, Karnataka, Bangalore, 560029, India; Raj A.M., Department of Physics, Christ University, Karnataka, Bangalore, 560029, India; Chirayil G.T., Department of Physics, Christ University, Karnataka, Bangalore, 560029, India
Shell script to clone AODV routing protocol in network Simulator-2
Access Protocol; Ad-hoc Protocols; AODV Routing Protocol; Clone AODV; Network Simulator-2; Wireless Networks
Background and Objective: Most of the research that are carried in ad hoc routing protocol is through simulation. While working with a simulator, the codes are enclosed in a component that is accessible to all the developers. The difficulty arises as there is no enough documentation and users find it difficult to modify different C++ and TCL files. Even if one component is modified then the entire Network Simulator-2 (NS-2) suite must be reconfigured. Cloning the protocol manually takes a lot of time and prone to error. Our objective is to ease the work of developers and researchers by showing the procedure to clone the AODV protocol automatically using a script. Methodology: In this study, a shell script is developed that will clone the AODV protocol by modifying 18 C++ and TCL files of the protocol and NS-2 suite by automatically inserting the code in exact files at exact position. It also configures the NS-2 and installs the entire NS-2 suite along with setting the path in .bash files. Results: In this research work, a comparison of cloned protocol with AODV protocol is done based on throughput time and packet loss metrics and the results generated are exactly same for both the protocols. The results of the study reveal that the proposed script clones the AODV protocol successfully. Conclusion: This work proves that the proposed script can clone the AODV protocol faster with just one execution of shell script. This methodology will save the time and help the developers or research to focus more on their study on the protocol. 2018 Authors.
International Journal of Engineering and Technology(UAE), Vol-7, No. 3, pp. 17-23.
https://doi.org/10.14419/ijet.v7i3.4.14668 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082354646&doi=10.14419%2fijet.v7i3.4.14668&partnerID=40&md5=3ba6984f58313eb67c2ab308c5d4cdc6
Khan R.U., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Vijayalakshmi A., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India
Identification of negative comments from positive sentences through data analysis
R & python; Scoring; Sentiment analysis; Social media; Word cloud
Social media has become a part, where people say what they think. It has made remarkable condition for individuals to impart their thoughts to the world. More consumers are writing their reviews which help people to make decisions about the quality and whether they should purchase the product. With respect to distinguishing perspectives out of this immense pool of conclusions, it turns into a laborious task and doing it physically is in every practical sense impossible. When we want to purchase things the best way to choose the finest product is to rely upon the opinions of others who already purchased those items. Sentiment analysis is utilized to choose whether the author's view is positive, negative, or neutral towards a specific item. This paper provides a review of apple mobile phone where we find polarity of a product based on scoring. We also worked on identifying negative comments in a positive sentence. We found the count of different polarity of words from overall positive feedbacks and stored the negative words so that we can identify which feature of the product is not acceptable and should be work with. We are representing our final result using wordcloud where we can detect which features has flaws. IAEME Publication.
International Journal of Mechanical Engineering and Technology, Vol-9, No. 3, pp. 644-654.
Kedia M., Department of Computer Science, Christ University, Bengaluru, India; Das D., Department of Computer Science, Christ University, Bengaluru, India