Opinion mining on newspaper headlines using SVM and NLP
CountVectorizer; Newspaper; NLTK; Opinion mining; Sentiment analysis; SGDClassifier; Stanford coreNLPm; SVM; Tf-idf
Opinion Mining also known as Sentiment Analysis, is a technique or procedure which uses Natural Language processing (NLP) to classify the outcome from text. There are various NLP tools available which are used for processing text data. Multiple research have been done in opinion mining for online blogs, Twitter, Facebook etc. This paper proposes a new opinion mining technique using Support Vector Machine (SVM) and NLP tools on newspaper headlines. Relative words are generated using Stanford CoreNLP, which is passed to SVM using count vectorizer. On comparing three models using confusion matrix, results indicate that Tf-idf and Linear SVM provides better accuracy for smaller dataset. While for larger dataset, SGD and linear SVM model outperform other models. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved.
International Journal of Electrical and Computer Engineering, Vol-9, No. 3, pp. 2152-2163.
Institute of Advanced Engineering and Science
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.11591/ijece.v9i3.pp2152-2163 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067986051&doi=10.11591%2fijece.v9i3.pp2152-2163&partnerID=40&md5=953768c15a48c34437c537bc173515ed
Rameshbhai C.J., Department of Computer Science, Christ University, Hosur Road, Bangalore, 560029, Karnataka, India; Paulose J., Department of Computer Science, Christ University, Hosur Road, Bangalore, 560029, Karnataka, India
Development of perceived prenatal maternal stress scale
Concerns about baby; intrauterine environmental risk; postpartum depression; pregnancy specific concerns; prenatal maternal stress
Background: Pregnancy is a state, which is often associated with extreme joy and happiness. Women undergo a number of physiological and psychological changes during pregnancy, which are often stressful if aligned with other adverse life events, compromising their health and well-being. However, there exists no comprehensive psychological instruments for measuring this stress. Objectives: The study was conducted to develop a multidimensional scale to assess prenatal maternal stress (PNMS) comprehensively. Methods: The initial phase of the study focuses on developing items and assessing the content validity of these items. The second phase focuses on pilot-testing and field-testing the newly developed perceived PNMS scale (PPNMSS) among 356 pregnant women belonging to different parity and trimester from November 2015 to October 2016. Results: The underlying factor structure of the 28-item PPNMSS had explored using exploratory factor analysis. The final scale is retained with 15 items having considerable item loading under four major factors as follows: perceived social support, pregnancy-specific concerns, intimate partner relations, and financial concerns. Reliability of each of these dimensions was assessed using Cronbach's alpha. Convergent and divergent validity of the scale was assessed by correlating the scores with perceived stress scale and the World Health Organization (five) well-being index (1998 version). Conclusions: As a comprehensive scale, PPNMSS is efficient to measure PNMS, which facilitates an early detection of stress and depression among pregnant women and timely intervention by health care professionals.
Indian journal of public health, Vol-63, No. 3, pp. 209-214.
https://doi.org/10.4103/ijph.IJPH_29_18 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072626540&doi=10.4103%2fijph.IJPH_29_18&partnerID=40&md5=c1b3015b9d1ca1cf36d7eceac650644f
Gangadharan P.S., Assistant Professor, School of Business Studies and Social Sciences, CHRIST (Deemed to be University), Bengaluru, Karnataka; Research Scholar, Department of Psychology, University of Delhi, New Delhi, India; Jena S.P.K., Department of Psychology, New Delhi, India
Enhanced encryption technique for secure iot data transmission
Cipher; Cryptography; Network Security; Public Key Server; Security Attack
Internet of things is the latest booming innovation in the current period, which lets the physical entity to process and intervene with the virtual entities. As all the entities relate to each other, it generates load of data, which lacks proper security and privacy standards. Cryptography is one of the domains of Network Security, which is one such mechanism that helps the data transmission process to be secure enough over the wireless or wired channel and along with that, it provides authenticity, confidentiality, integrity of data and prevents repudiation. In this paper, we have proposed an alternate enhanced cryptographic solution combing the characteristic of symmetric, asymmetric encryption algorithms and Public Key Server. Here, the key pairs of end points (Users Device and IoT device) are generated using Elliptic Curve Cryptography and the respective public keys are registered in Public Key Server along with their unique MAC address. Thereafter, both the ends will agree on one common private secret key, which will be the base for further cryptographic process using AES algorithm. This model can be called as multi-phase protection mechanism. It will make the process of data transmission secure enough that no intermediate can tamper the data. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved.
International Journal of Electrical and Computer Engineering, Vol-9, No. 5, pp. 3732-3738.
https://doi.org/10.11591/ijece.v9i5.pp3732-3738 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067336335&doi=10.11591%2fijece.v9i5.pp3732-3738&partnerID=40&md5=9475dc3e73e49ea68f6a32c7473a622a
Bhandari R., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, 560029, India; Kirubanand V.B., Faculty of Computer Science Department, CHRIST (Deemed to be University), India
Implementation of FOAF, AIISO and DOAP ontologies for creating an academic community network using semantic frameworks
Academic network; FOAF; Ontologies; RDF; Semantic web; Web 3.0
Web 2.0 delivers the information which is then displayed in human readable content, omitting the crucial information which can be drawn from the data by the applications. Web 3.0 or semantic web is an extension to the current web, with an ambition to determine the drawbacks of the current web. The semantic web has already proven its influence in several communities around the globe, such as social media, music industry, healthcare domain, online blogs or articles, etc.; Among the several tools and technologies, ontologies or vocabularies are the foundation pillar for the semantic web. In this paper, the developed system aims at improving the collaboration and academic relations among staff which is directly related to our education community by providing a better networking platform which lets the agents discuss their achievements, titles, domain interests, and various other activities. Results have been analyzed to show how new facts, information can be implied from the presented knowledge of several agents and help generate a relationship graph by utilizing various semantic tools. The system discussed in this paper processes all the information in a format which can be understood by both humans and the machines, to interpret the underlying meaning about it and provide effective results. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved.
International Journal of Electrical and Computer Engineering, Vol-9, No. 5, pp. 4302-4310.
https://doi.org/10.11591/ijece.v9i5.pp4302-4310 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067606277&doi=10.11591%2fijece.v9i5.pp4302-4310&partnerID=40&md5=0444f795e145aa3fb64920fd7a153c04
Ahuja H., Department of Computer Science, CHRIST (Deemed to Be University), Bengaluru, Karnataka, 560 029, India; Sivakumar R., Dr., Department of Computer Science, CHRIST (Deemed to Be University), Bengaluru, Karnataka, 560 029, India
Priority based prediction mechanism for ranking providers in federated cloud architecture
Baysian network; Broker manager; Cloud broker; Grade values; Priority feedback decision tree
Cloud computing is a growing and excellent technology, as exponentially increasing the interest among users to utilize cloud applications; they need to depend on any one of the particular service provider. Now a days number of service providers also rapidly increasing in wide range, this leads ambiguity and distrust among the users. In this paper, enhanced broker based federated cloud architecture is proposed to resolve the selection of service provider issue using grading techniques and results proved that better performance improvement than single service provider selection. This broker architecture also addresses to selects the appropriate service provider automatically in the federated cloud architecture for the users submitted requests by previous experience with help of Bayesian network model. The former one implemented through concept of grade system. It is constructed for categorizing the providers based on the level of available resources. Grade and grade values distributed by applying the grade distribution algorithm for distinguishes the components. Total grade values computed for every service provider and sorted using quick sort algorithm to grade the cloud service providers. Priority based feedback decision tree technique added with this for separates similar grade cloud service provider in the selected list. Second Bayesian network model also used to rank the cloud service providers according to the previous performance of the providers with customers. Probability of satisfied customers feedback calculated for individual Service Measurements Index of Cloud Service Providers. 2018, Springer Science+Business Media, LLC, part of Springer Nature.
Saravanan M.; Aramudhan M.; SundaraPandiyan S.; Avudaiappan T.
Cluster Computing, Vol-22, pp. 9815-9823.
Saravanan M., SRM Institute of Science and Technology, Kattankulathur, Tamilnadu, India; Aramudhan M., Perunthalaivar Kamarajar College of Engineering and Tech, Karaikkal, India; SundaraPandiyan S., Christ (Deemed to be University), Bengaluru, Karnataka, India; Avudaiappan T., K. Ramakrishnan College of Technology, Trichy, Tamilnadu, India
3D face reconstruction techniques: Passive methods
3D face modeling; 3D face reconstruction; Computer vision; Image processing; Machine learning
In the recent literature, 3D face reconstruction received wide interest and has become one of the significant areas of research. 3D face reconstruction provides in depth details on geometrics, texture and color of the face, which are utilized in different applications. It supports a multitude of applications, ranging from face recognition and surveillance to medical imaging, gaming, animation, and virtual reality. This paper attempts to consolidate the research works that have happened in the history of 3D face reconstruction. Also, we try to classify the existing methods based on the input for the process. The databases used in the recent works are discussed and the performance evaluation of methods on different databases is analyzed. The challenges addressed in recent studies are mainly focused on the faster reconstruction of 3D Images, improved accuracy of reconstructed images, human pose identification, image reproduction with higher resolution. Researchers have also tried to address occlusion related problems. Passive methods, used by different researchers are analyzed and their effects on different parameters are discussed in this work. Finally, possible future areas for improvement in terms of reconstructions are presented for the benefit of researchers. BEIESP.
International Journal of Recent Technology and Engineering, Vol-8, No. 2, pp. 4354-4364.
Blue Eyes Intelligence Engineering and Sciences Publication
https://doi.org/10.35940/ijrte.B3152.078219 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071870147&doi=10.35940%2fijrte.B3152.078219&partnerID=40&md5=3d70f05bcca1d3c38767f99eb4cf2fe3
John S., Department of Computer Science & Engineering, Faculty of Engineering, Christ (Deemed to be University), Bangalore, India; Danti A., Department of Computer Science & Engineering, Faculty of Engineering, Christ (Deemed to be University), Bangalore, India
Grandparenting in Urban Bangalore, India: Support and Involvement From the Standpoint of Young Adult University Students
family dynamics; grandfathers; grandmothers; social change; urban India
A variety of caregivers, including grandparents, help raise children. Among grandparents, most Western samples evidence a matrilateral (i.e., mothers kin) bias in caregiving, and many studies show more positive impacts and stronger relationships with grandmothers than grandfathers. The aim of the present study is to test competing hypotheses about a potential laterality bias and explore contrasts between grandmothers and grandfathers in a sample of urban young adult university students in Bangalore, India. A sample of 377 (252 women) relatively mobile and high socioeconomic status individuals 17 to 25 years of age completed a survey consisting of sociodemographic and grandparenting questions. Results reveal generally little evidence of either a patrilateral or matrilateral bias, though findings varied for some outcomes. As illustrations, there were no differences in residential proximity or the most recent time when a participant saw matrilateral or patrilateral grandparents, whereas maternal grandmothers were more approving of ones choice of a life partner than were paternal grandmothers. In inductively coded responses to an open-ended item about the roles of grandparents, maternal grandmothers were more often identified as guides and less often deemed non-significant than paternal grandmothers, while paternal grandfathers were less often viewed as guardians and more often noted for their influence compared with maternal grandparents. Findings also revealed differences between grandmothers and grandfathers, such as grandmothers playing more prominent roles in community and religious festivals. Findings are interpreted within changing residential, work, education, and family dynamics in urban India as well as a primary importance on parents relative to grandparents. The Author(s) 2019.
Gray P.B.; Longkumer W.; Panda S.; Rangaswamy M.
Gray P.B., University of Nevada, Las Vegas, United States; Longkumer W., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India; Panda S., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India; Rangaswamy M., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India
Household waste management policy and practices in bengaluru
Cleanliness; Garrett's ranking method; Households; Waste management policy development
Households play a very important role in waste management policy development and its implementation in any city. This study is done among households of 12 wards in Urban Bengaluru(India). It is observed that waste management is open of the most important issue among households and households in general are not satisfied by waste collection, segregation its transport service and maintenance of public places, provided by local municipal body. Garrett's ranking method is also used to give ranking for various waste management practices adopted by various wards. The results suggest that problems faced by households across the city is not same, also perception towards the policy and practices of local bodies towards waste management differs significantly across the city. Cleanliness of public places and waste collection process should be given highest priority by the policy makers. The study also determines a different perspective towards understanding behaviour of household. the policymakers may use this technique to identify specific geographic areas where immediate action is required. BEIESP.
International Journal of Recent Technology and Engineering, Vol-8, No. 3, pp. 5059-5066.
https://doi.org/10.35940/ijrte.C5688.098319 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073497834&doi=10.35940%2fijrte.C5688.098319&partnerID=40&md5=c5a81cffa0fc7dccec0b61b3a09e44e0
Khanna S., School of Business studies and Social sciences, CHRIST (Deemed to be University), Bengaluru, India; Bhargava A., School of Business studies and Social sciences, CHRIST (Deemed to be University), Bengaluru, India
Value co-creation through search efforts and customer involvement impacting purchase intention of smart phones
Customer involvement; Purchase intention; Search efforts; Value co-creation
A marketing strategy which successfully involves its customer helps in stimulating purchase intentions. Understanding the behavioral aspects of customers become pertinent in formulating such strategies. The aim of this paper is to explore the underlying factors of customer involvement in value co-creation and discover how it affects the purchase intention of the customers towards smartphones. The study also tries to understand the contribution of search efforts towards customer involvement and how it affects purchase intention. The data for the study has been collected through a validated questionnaire from 233 respondents. Extensive literatures are reviewed to identify research gap and identify the variables for the study. The study can help marketers to identify the factors of customer involvement so that they can understand the customer purchase behaviour better and hence forecast on customer purchase intention to improve their sales of smartphones. BEIESP.
International Journal of Recent Technology and Engineering, Vol-8, No. 3, pp. 3894-3902.
https://doi.org/10.35940/ijrte.C5111.098319 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073535817&doi=10.35940%2fijrte.C5111.098319&partnerID=40&md5=182a78afa96d2654636a167e72f46b8c
Kiran P., Institute of Management CHRIST (Deemed to be University), Bangalore, India; Banerjee J., Institute of Management CHRIST (Deemed to be University), Bangalore, India; Vasudevan M., Institute of Management CHRIST (Deemed to be University), Bangalore, India
Consumer preference towards private label brands with reference to retail apparel in India
Customer satisfaction; National brands; Private label brands; Purchase intention
As majority of the present day consumers are considering brands as an important element in their choice of decision making while purchasing, it is pertinent that sellers should capitalize on the type of brands they are offering to consumers. Both private labels and global brands have their own advantages and disadvantages over each other mainly in terms of pricing and quality factors. However, the main motive the consumers are looking forward is to buy a product which would effectively satisfy their requirements. If they find a product which satisfies their needs effectively, they buy it irrespective of whether it is a private label or a global brand. Even the price of the product may not be a major factor in such a case. This study focused on the preference and intention among consumers towards buying of private label products, especially retail apparel products. This study examined the causal relationships between six antecedents of customer perceived preference identified in this study as fashion consciousness, attitude, store image, price, quality, and store loyalty with regard to the purchase intention of private label brand apparels. The model was evaluated using data collected from 292 customers from different malls in Bangalore in 2016-17. The findings revealed that customers attitude played a significant role in their purchase behaviour towards private label brand apparels. 2019, Associated Management Consultants Pvt. Ltd. All Rights Reserved.
Indian Journal of Marketing, Vol-49, No. 7, pp. 49-66.
Associated Management Consultants Pvt. Ltd.
https://doi.org/10.17010/ijom/2019/v49/i7/145404 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073784264&doi=10.17010%2fijom%2f2019%2fv49%2fi7%2f145404&partnerID=40&md5=2ab7d6b426b49b983c053bf5ffd937bc
Kumar S., School of Business Studies & Social Sciences, CHRIST (Deemed to be University), Bangalore, 560 029, India
Design of personalized diet and physical activities recommendation framework for hypothyroid patients
Diet and physical activities; Hypothyroid disorder; Personalized; Recommendation framework
These days, hypothyroid disease is quickly growing among individuals. In India, one out of eight women experiences hypothyroid disorder because of iodine deficiency. It is necessary to maintain the thyroid hormone levels because it may lead to thyroid cancer. There is a need to consume an adequate amount of iodine intake and other nutrients required to balance thyroid hormones levels. So, patients should follow a customized daily diet and exercise plan to meet their nutritional needs. These recommendations help hypothyroid patients to enhance their metabolism and to adjust thyroid hormones levels. Most of the existing online systems usually provide diet recommendations in general forms. Such recommendations are insufficient for any patient suffering from a specific disease. This paper provides a personalized recommendation framework to provide appropriate diet plans and physical activities to patients. These recommendations are based on their clinical data and personal choices. Validation of recommendations can be made by combining both domains like human expertise and computer technologies. BEIESP.
International Journal of Recent Technology and Engineering, Vol-8, No. 3, pp. 5441-5445.
https://doi.org/10.35940/ijrte.C4035.098319 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073541260&doi=10.35940%2fijrte.C4035.098319&partnerID=40&md5=176d0bb032e93611ef04c682d040419f
Vairale V.S., Department of Computer Science & Engineering, Faculty of Engineering, CHRIST (Deemed to be University), Bengaluru, India; Shukla S., Department of Data Science, CHRIST (Deemed to be University), Lavasa, Pune Campus, Pune, India
Solidarity, job satisfaction, and turnover intent in employees
Intent to turnover; Job satisfaction; Overwork; Solidarity at the workplace; Working hours
Purpose: While the role of solidarity in the workplace has been examined in previous research, it is still an important component of the workplace for Japanese employees. The purpose of this paper is to integrate findings on solidarity at the workplace, job satisfaction and intent to turnover. A moderated mediation model is hypothesized where solidarity predicts intent to turnover via job satisfaction, but the strength of this whole mediation process is moderated by employees length of working overtime or working long hours. Design/methodology/approach: The data analyzed in this study were acquired from the Japanese General Social Survey 2010, which was administered to 527 men and 278 women. Findings: The results generally supported the assumptions; the proposed mediation model proved to be statistically significant, even when background covariates were introduced into the model to control for pre-existing differences. Also, the proposed moderated mediation model was supported; solidarity strongly increased job satisfaction when working overtime was low. Research limitations/implications: Because of measurement of solidarity, this study results may limit the generalizability. Researchers should explore the relationship between the dimension of solidarity and job satisfaction. Practical implications: The paper includes the implications for human resource management, the developing of solidarity at the workplace and for managing the strain of working overtime. Originality/value: This study was the first to examine the relationship between solidarity at the workplace and job satisfaction and the moderating effects of working overtime. 2019, Emerald Publishing Limited.
International Journal of Workplace Health Management, Vol-12, No. 4, pp. 247-257.
https://doi.org/10.1108/IJWHM-09-2018-0118 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070415095&doi=10.1108%2fIJWHM-09-2018-0118&partnerID=40&md5=084d4b7eca7805d69484b45ebe182d89
Matsumoto M., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India; Gopal B., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India
Numerical illustrations of 3D tangent hyperbolic liquid flow past a bidirectional moving sheet with convective heat transfer at the boundary
bidirectional stretching; convective heat transfer; magnetic field; tangent hyperbolic liquid; thermal radiation
Convective heat transfer plays a central role in the numerous industrial devices because it perturbs the mechanical behavior of a system along with its thermodynamics. Keeping such applications in mind, analysis of heat transportation in three-dimensional tangent hyperbolic fluid flow is investigated here. Convective heat transportation at the boundaries is considered. Rosseland's approximation has been used for the radiation effects. Closed form analytical solutions for the governing equations are difficult to obtain even after the use of similarity transformations. Therefore, the numerical solutions are presented through the Runge-Kutta-Fehlberg forth-fifth method. Graphical analysis of the numerical results has been carried out. Roles of sundry constraints on flow are studied. It is also noted that the rates of heat transportation and skin-friction are higher in the presence of convective heat transfer near the boundary. 2019 Wiley Periodicals, Inc.
Kumar K.G.; Manjunatha S.; Gireesha B.J.; Abbasi F.M.; Shehzad S.A.
Heat Transfer - Asian Research, Vol-48, No. 5, pp. 1899-1912.
https://doi.org/10.1002/htj.21462 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067542994&doi=10.1002%2fhtj.21462&partnerID=40&md5=adbeabedff53d553f31b791f95ebf074
Kumar K.G., Department of Studies and Research in Mathematics, Kuvempu University, Shimoga, Karnataka, India; Manjunatha S., Department of Engineering Mathematics, Faculty of Engineering, Christ University, Bengaluru, Karnataka, India; Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shimoga, Karnataka, India; Abbasi F.M., Department of Mathematics, COMSATS University Islamabad, Islamabad, Pakistan; Shehzad S.A., Department of Mathematics, COMSATS University Islamabad, Sahiwal, Pakistan
Process scheduling in heterogeneous multicore system using agent based graph coloring algorithm
Agent based graph coloring; Heterogeneous Multicore system; Process classification; Processor allocation; Scheduling
In any heterogeneous multicore system, there are numerous amount of processors with different platform and all the processing units are fabricated on a common single unit preferably on a System on Chip. As there is a tremendous amount of parallelism encompassed in a multicore system, proper utilization of the cores is a big challenge in the current era. Hence a more automated software approach is required like an agent based graph coloring algorithm to find the free processor and schedule the tasks on the respective cores. Predominantly the entire process of scheduling the tasks on multicore system is based on arrival time of process. This paper incorporates the scheduling on the linux 2.6.11 kernel and GEMS simulator for multicore implementation. The core utilization in this type of agent scheduling is 50% more than the existing scheduling mechanism. BEIESP.
International Journal of Recent Technology and Engineering, Vol-8, No. 3, pp. 8449-8452.
https://doi.org/10.35940/ijrte.C6410.098319 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073531578&doi=10.35940%2fijrte.C6410.098319&partnerID=40&md5=f1feaf1b63960645932710deb0745695
Muneeswari G., Department of Computer Science and Engineering, Faculty of Engineering, CHRIST (Deemed to be University), Bengaluru, India; Puthussery A., Department of Science and Humanities, CHRIST (Deemed to be University), Bengaluru, India
Exact and statistical computations of radiated flow of nano and Casson fluids under heat and mass flux conditions
Casson fluid; Dufour effect; Nanofluid; Probable error; Regression analysis
The statistical and exact analysis of the unsteady radiative flow of Nano and Casson fluids past a vertical plate with Dufour effect is carried out. The heat transport phenomenon is studied under uniform heat flux (UHF) and uniform wall temperature (UWT) conditions. The exact solution to the problem is found using the Laplace transform method (LTM). The effects of various parameters on velocity, temperature and concentration profiles are examined via graphs. The heat transfer rate and skin friction are analyzed through statistical tools like probable error and regression. The Dufour effect enhances the velocity and temperature profiles. It is also observed that the velocity profile is slightly greater in the case of UWT than the UHF case for both nanofluid and Casson fluid. From the regression analysis, it is established that the Dufour number and nanoparticle volume fraction have a negative impact whereas the radiative heat parameter has a positive impact on the rate of heat transfer. 2019 Society for Computational Design and Engineering
Journal of Computational Design and Engineering, Vol-6, No. 4, pp. 593-605.
Society for Computational Design and Engineering
https://doi.org/10.1016/j.jcde.2019.03.003 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067314056&doi=10.1016%2fj.jcde.2019.03.003&partnerID=40&md5=2a1e3a9e9a3a936ade111fde47bb5af9
Mackolil J., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India
Surface modified graphene/SnO2 nanocomposite from carbon black as an efficient disinfectant against Pseudomonas aeruginosa
Antibacterial activity; Cost-effective synthesis; Graphene oxide; Pseudomonas aeruginosa; Surface functionalization
Carbon based nanocomposite with well-defined integrated properties are highly sort after in the field of nanobiotechnology and nanomedicine. We report a facile one step hydrothermal route for the production of graphene sheets interlaced with SnO2 nanoparticles. Graphene oxide (GO)sheets are obtained by the surface functionalization of powdered carbon black. A facile hydrothermal method is employed to integrate SnO2 nanostructures over the graphene surface. All the samples exhibited long term stability and unique fluorescence response with no sign of photobleaching even after a storage of 30 months. Antibacterial activity of the samples at each stage is tested against Pseudomonas aeruginosa, which is a highly resilient bacterial strain possessing very high attributable mortality rate and causes a variety of ailments from diarrhea to meningitis. Bactericidal activity of carbon black, GO derived from carbon black and graphene-SnO2 nanocomposite is tested against Pseudomonas aeruginosa using disk diffusion assay for the first time. Comparing the zone of inhibition produced by carbon black, GO and the nanocomposite, highest antibacterial performance is exhibited by the nanocomposite sample (25 0.3 mm)followed by GO (16 0.5 mm)and pristine carbon black (14 0.3 mm). The bactericidal ability of the nanocomposite increased by ?79% compared to pristine carbon black. MIC analysis revealed that the nanocomposite could inhibit the bacterial growth at a much lower concentration (250 ?g/mL)compared to the precursors. The high antibacterial efficacy and long-term stability of graphene-tin oxide nanocomposite synthesized from carbon black facilitates its usage as a potent antibacterial agent in disinfectant and sanitation industry. 2019 Elsevier B.V.
Materials Chemistry and Physics, Vol-232, pp. 137-144.
https://doi.org/10.1016/j.matchemphys.2019.04.074 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065444628&doi=10.1016%2fj.matchemphys.2019.04.074&partnerID=40&md5=51146a3ba03bc6c61d9885bfd4742d6a
Mohan A.N., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India; B M., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India
Research aligned analysis on web access behavioral pattern mining for user identification
Data mining; Human activity understanding; User Idenifiction; Web patterns; Web usage mining; Web user behavior
Human activity understanding includes activity recognition and activity pattern discovery. Monitoring human activity and finding abnormality in their activities used by many field like medical applications, security systems etc. Basically it helps and support in decision making systems. Mining user activity from web logs can helps in finding hidden information about the user access pattern which reveals the web access behaviour of the users. Clustering and Classification techniques are used for web user identification. Clustering is the task of grouping similar patterns for web user identification. Classification is the process of classifying web patterns for user identification. In this paper we have implemented the existing works and discussed the results here to find the limitations. In existing methods, many data mining techniques were introduced for web user behaviour identification. But, the user identification accuracy was not improved and time consumption was not reduced. Our objective is to study the existing work and explore the possibility to improve the identification accuracy and reduce the time consumption using machine learning and deep learning techniques. BEIESP.
International Journal of Engineering and Advanced Technology, Vol-8, No. 6, pp. 5062-5067.
https://doi.org/10.35940/ijeat.F9552.088619 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072060134&doi=10.35940%2fijeat.F9552.088619&partnerID=40&md5=1854aef2ea25ec163eadb96aca3307c4
Gokulapriya R., Computer Science and Engineering, CHRIST (Deemed to be University), India; Ganesh Kumar R., Computer Science and Engineering, CHRIST (Deemed to be University), India
Preprocessed text compression method for Malayalam text files
Compression ratio; Data compression; LZW; Unicode; UTF-8
The increasing importance of Unicode for text files implies an increase in storage space required for data and the time for the transmission of data, with a corresponding need for compression of data. Conventional compressors fair purely on UTF-8 texts, where each character can span multiple bytes. Malayalam which is one among the four major languages of the Dravidian family, is represented by using Unicode characters. The contribution of this paper is a reversible transformation mapping of the input to reduce the actual size of the input file before a general purpose compression method. After the preprocessing, LZW compression achieves more compression to Malayalam text files containing any characters including ASCII characters. This method can be extended to any native language files containing mostly the characters of only one script. BEIESP.
International Journal of Recent Technology and Engineering, Vol-8, No. 2, pp. 1011-1015.
https://doi.org/10.35940/ijrte.B1806.078219 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071326829&doi=10.35940%2fijrte.B1806.078219&partnerID=40&md5=7188fc3fefbbac302ebbef6523fbcf5e
Rincy T.A., Department of Computer Science, Prajyoti Niketan College, Pudukad, Thrissur, Kerala, India; Rajesh R., CHRIST(Deemed to be University), Bengaluru, Karnataka, India
Fake news and social media: Indian perspective
Facebook; Fake news; India; Media law; Policy; Social media; WhatsApp
The unlimited freedom made social media platforms are susceptible to misuse, misinformation, and thus, fake news. In the last few years, social media has turned out to be a massive player in shaping public discourse in a democratic space (Marda & Milan, 2018). Though there have been pressures from policymakers on service/platform providers, nothing concrete has built up towards accountability of the user or platform proprietors. In India, there has been a consistent increase of social media users and instances of the misuse of this medium. This paper seeks to examine how the propagation of fake news has disrupted the public sphere and possible policies that can be implemented to curb the plague of fake news. The relationship between various events of violence reported in India media and the role of fake news in instigating chaos are discussed in this paper. It also tries to review policies initiatives taken by various countries, especially in Europe and possible measures which India could take to restrict the flow of fake news. Media Watch.
Media Watch, Vol-10, No. 3, pp. 737-750.
All Open Access; Bronze Open Access; Green Open Access
Bali A., Christ University, India; Desai P., Christ University, India
Recommender system for surplus stock clearance
Inventory clearance; Recommender systems; Retail stock management; Stock accumulation; Stock clearance; Surplus stock
Accumulation of the stock had been a major concern for retail shop owners. Surplus stock could be minimized if the system could continuously monitor the accumulated stock and recommend those which require clearance. Recommender Systems computes the data, shadowing the manual work and give efficient recommendations to overcome stock accumulation, creating space for new stock for sale to enhance the profit in business. An intelligent recommender system was built that could work with the data and help the shop owners to overcome the issue of surplus stock in a remarkable way. An item-item collaborative filtering technique with Pearson similarity metric was used to draw the similarity between the items and accordingly give recommendations. The results obtained on the dataset highlighted the top-N items using the Pearson similarity and the Cosine similarity. The items having the highest rank had the highest accumulation and required attention to be cleared. The comparison is drawn for the precision and recall obtained by the similarity metrics used. The evaluation of the existing work was done using precision and recall, where the precision obtained was remarkable, while the recall has the scope of increment but in turn, it would reduce the value of precision. Thus, there lies a scope of reducing the stock accumulation with the help of a recommender system and overcome losses to maximize profit. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved.
International Journal of Electrical and Computer Engineering, Vol-9, No. 5, pp. 3813-3821.
https://doi.org/10.11591/ijece.v9i5.pp3813-3821 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067349493&doi=10.11591%2fijece.v9i5.pp3813-3821&partnerID=40&md5=6efa4d0886297cde88853e4b552e79c8
Agarwal V., Department of Computer Science, CHRIST (Deemed to be University), India; Vijayalakshmi A., Department of Computer Science, CHRIST (Deemed to be University), India