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A comparison of recommendation algorithms based on use of linked data and cloud
Recommendation generation is a critical need in today's time. With the advent of big data and the increasing number of users, generation of most suitable recommendation is essential. There are many issues already associated with recommendations such as data acquisition, scalability, etc.. Moreover, the users today look to get best recommendations at the minimum effort on their side. Thus it becomes difficult to manage such huge amount of information, extract the needed data and present it to the user with least user involvemen t. In this research, we surveyed some recommendation algorithms and analyze their applications on an open cloud server which uses linked data to generate automated recommendations. 2018 Authors. -
Marangoni convection radiative flow of dusty nanoliquid with exponential space dependent heat source
The flow of liquids submerged with nanoparticles is of significance to industrial applications, specifically in nuclear reactors and the cooling of nuclear systems to improve energy efficiency. The application of nanofluids in water-cooled nuclear systems can result in a significant improvement of their economic performance and/or safety margins. Therefore, in this paper, Marangoni thermal convective boundary layer dusty nanoliquid flow across a flat surface in the presence of solar radiation is studied. A two phase dusty liquid model is considered. Unlike classical temperature-dependent heat source effects, an exponential space-dependent heat source aspect is considered. Stretching variables are utilized to transform the prevailing partial differential system into a nonlinear ordinary differential system, which is then solved numerically via the Runge-Kutta-Fehlberg approach coupled with a shooting technique. The roles of physical parameters are focused in momentum and heat transport distributions. Graphical illustrations are also used to consider local and average Nusselt numbers. We examined the results under both linear and quadratic variation of the surface temperature. Our simulations established that the impact of Marangoni flow is useful for an enhancement of the heat transfer rate. 2017 -
Blowing Your Own Trumpet: How to Increase the Online Visibility of Your Publication?
After seeing ones manuscript in the print form in a journal, the author feels a sense of elation which is indescribable. However, if one really want peers and other researchers to take note of the work, some more effort is needed. With the massive increase in the number of biomedical journals in print supplemented by another large chunk onlinequite a few published papers remain unread by majority of the readers. The availability of social sites, persistent identifiers, and manuscript-sharing sites has simplified the job of increasing the impact of an article. We herein share some of these tricks-of-the-trade. 2018, Indian Academy of Pediatrics. -
Di-cationic ionic liquid catalyzed synthesis of 1,5-benzothiazepines
A simple and elegant method for the synthesis of 1,5-benzothiazepines has been developed using di-cationic liquid as a solvent cum catalyst by the reaction of o-aminothiophenol with a variety of chalcones under mild reaction conditions. Furthermore the reusability of the catalyst has also been studied for three cycles. All the reactions are proposed to proceed through a 1,4-conjugate Michael addition followed by a cyclo-condensation reaction. 2018, Chemical Publishing Co. All rights reserved. -
Is gold price volatility in India leveraged?
This paper examined the presence of leverage effect on the gold price volatility in six major Indian cities using PGARCH model. This study also examined the impact of US gold price return on the volatility of gold price in India. For this study, daily time series data of gold price in six major Indian cities and gold price in the United States over a period of seven years (January 2011 to August 2017) were collected. The results suggest that conditional volatility of gold price in all the six cities in India carries volatility clustering feature. Leverage effect was also found in the gold price volatility of five out of six Indian cities studied. The United States gold returns had a significant influence on the gold price volatility of five out of six Indian cities studied. Hence, the gold price volatility in India is indeed leveraged. -
Travellers attitude towards online purchase of travel products: An empirical study of online travel portals
The exponential growth of the online purchases and a cyber war in the digital space among the service providers for grabbing the lions share in the online space requires an understanding of the effect of demographic features on the online purchase behaviour of the travellers. Such valuable information will help the service providers to understand and eventually segment their markets and implement effective marketing instruments. The empirical study was carried out amongst 450 travelers who booked their travel online through Online Travel Portals in Delhi National Capital Region out of which 400 questionnaires were found to be complete in all respects and can be used for data analysis. The data was collected from the departure lounge of Indira Gandhi International Airport, New Delhi. The study investigates the traveler`s attitude towards online purchase of travel products and investigates the factors influencing the online purchase of travel products by the travelers. The findings denote that income and age group influence the online purchase attitude of travellers. It also identifies whether a gap existed between expectation and satisfaction of online purchase of travel products using Online Travel Portals in Delhi National Capital Region. The largest positive gap (positive disconfirmation) came from reliability in financial transactions, pertinent information, flexible packages and location while completeness in terms of services, integration on social media, usefulness, accuracy, flexible payment, information quality had a negative gap (negative disconfirmation) between the higher level of importance and lower levels of satisfaction. No significant mean differences were observed between expectations and experiences of proficient Grievance redressal system and timeliness in refund. 2018 Editura Universitatii din Oradea. All Rights Reserved. -
Augmented reality for history education
Augmented Reality is live, direct or indirect view of a physical real world environment whose elements are augmented by personal computers (PC) that produces the information such as sound, video, designs or GPS data. This paper shows an instructive mobi le application based system model on Augmented Reality which is used to learn subjects like history through augmented videos. The objective of development of this system model is to make the learning interesting for the young generation. Unity 3D and Vufo ria Augmented Reality Software Development Kit (SDK) is used for the development of this model. The prime purpose of this application model is to enhance the learning process with digital technologies. This paper has step by step implementation instructions for the development of augmented reality modeling that can supplement the current teaching-learning environment to generate interest among young generation in less interesting subjects such as History, Geography, etc. 2018 Authors. -
Identifying explosive behavioral trace in the CNX nifty index: A quantum finance approach
The fnancial markets are found to be fnite Hilbert space, inside which the stocks are displaying their wave-particle duality. Te Reynolds number, an age old fluid mechanics theory, has been redefned in investment fnance domain to identify possible explosive moments in the stock exchange. CNX Nify Index, a known index on the National Stock Exchange of India Ltd., has been put to the test under this situation. Te Reynolds number (its fnancial version) has been predicted, as well as connected with plausible behavioral rationale. While predicting, both econometric and machinelearning approaches have been put into use. Te primary objective of this paper is to set up an efcient econophysics' proxy for stock exchange explosion. Te secondary objective of the paper is to predict the Reynolds number for the future. Last but not least, this paper aims to trace back the behavioral links as well. 2018 Bikramaditya Ghosh, Emira Kozarevic. -
Determinants of consumer retention strategies for telecom service industry in Central India
The telecommunication industry has witnessed a tremendous growth in recent times in India. It has not only been limited to voice calls, but also integrated into every aspect of human life. This has resulted in the rapid rise of market players, offering innovative products and services. In this changing scenario, we have tried to design and check a model of various factors such as loyalty, satisfaction and switching barriers (customer relationship management, alternative attractiveness and switching cost) influencing consumer retention strategies in Indian telecom service industry. A structured and undisguised questionnaire and a convenient sampling method have been used to collect the data from respondents from three most populous cities (Indore, Bhopal, and Ujjain) of Central India. Around 450 questionnaires were distributed, out of which 318 usable responses were received for final analysis. The instrument was checked for validity and reliability before the data was analyzed. The hypotheses were tested through Structure Equation Modelling (SEM) for direct effect, and Multiple Moderating Regression Analysis (MMRA) for moderating effect. The results suggested that loyalty, satisfaction, switching barriers and customer relationship management are positively related and have a direct influence on consumer retention, but the relationship with alternative attractiveness has been found weak. Switching cost, as moderating variable, was found to be very effective and showed significant deviation in the relationship between independent and dependent variables. Vinod Sharma, Sunny Joseph, Jeanne Poulose, 2018 -
Studies on photophysical properties of mono-carbonyl curcumin analogues: Experimental andtheoretical approach
The solvatochromic fluorescence behaviour of mono-carbonyl curcumin analogues has been studied in ten different solvents ranging from non-polar to polar. The solvent effect on the spectral properties of analogues has been discussed. The ground state dipole moments were estimated experimentally by Bilot-Kawski equation which is a function of Stokes shift with the solvent polarity parameters and Guggenheim method and theoretically by TD-DFT studies. The excited state dipole moment was determined using Bilot-Kawski equations. The excited state dipole moments for the two molecules were found to be higher than their corresponding ground state dipole moments. Theoretically Frontier molecular orbital (HOMO/ LUMO) energies were determined by Gaussian 09 W software using TD-DFT. 2018 Oriental Scientific Publishing Company. All rights reserved. -
Measures of superstitious beliefs: A meta-analytic review of research
Superstition is a term which is widely used across the globe but, is understood differently by people from different cultures. Superstitious beliefs are challenged by emerging scientific knowledge, and they continue to persist even among advanced societies. In recent years, superstitions are viewed as a belief in luck. The instruments that are available to assess this phenomenon are few and have insufficient psychometric properties. There is a need for developing new standardised measures which explore the complex, conceptual nature of superstitions. A meta-analysis of existing literature was done to explore the existing measures of superstitious beliefs and to examine the relationship between reliability of scales and the various attributes of scales. A literature search was conducted in relevant databases. Suitable transformation procedures for coefficient alpha were used. Meta-regression analysis was done to explore the heterogeneity of data. 41 scales measuring superstitions were analysed. Results indicate that reliability coefficients were from heterogeneous samples. Regression analysis revealed that few characteristics of scales predicted reliability. Journal of the Indian Academy of Applied Psychology. -
A modified fuzzy approach to prioritize project activities
Project management is an important task in business although project is not just confined to business. Due to the uncertainty of the various variables involved in a project, over several past decades research is going on in the search for an efficient project management model. Although numerous crisp models are easily implementable, the potential of fuzzy models are huge. In the case of software development, the variables involved are highly dynamic. In this paper, we propose a ranking based fuzzy model that can prioritize various activities. We use a popular crisp model to test the effectiveness of the fuzzy model proposed. Simulation is done through Java Server Pages (JSP). There is considerable computational and managerial advantage in implementing the fuzzy model. 2018 Authors. -
Colouring of (P3? P2) -free graphs
The class of 2 K2-free graphs and its various subclasses have been studied in a variety of contexts. In this paper, we are concerned with the colouring of (P3? P2) -free graphs, a super class of 2 K2-free graphs. We derive a O(?3) upper bound for the chromatic number of (P3? P2) -free graphs, and sharper bounds for (P3? P2, diamond)-free graphs and for (2 K2, diamond)-free graphs, where ? denotes the clique number. The last two classes are perfect if ?? 5 and ? 4 respectively. 2017, Springer Japan KK, part of Springer Nature. -
Radiative nonlinear 3D flow of ferrofluid with Joule heating, convective condition and Coriolis force
Characteristics of heat transport mechanism in three-dimensional ferrofluid flow past a deformed surface subjected to the Coriolis and Lorentz forces are analyzed. The impacts of Joule heating, nonlinear thermal radiation, viscous dissipation and convective condition are also accounted. The carrier fluid (water) is embedded by Fe3O4 nanoparticles. The boundary layer approximations are employed in problem statement. Stretching transformations are utilized to form nonlinear ODE system from governed PDE system. The subsequent system is treated numerically via Runge-Kutta-Fehlberg method. Effects of relevant parameters on different flow fields are discussed comprehensively with help of graphs. It is established that the heat transfer rate is enhanced due to Coriolis and Lorentz forces. Furthermore, Fe3O4 nanoparticles enhance the Nusselt number significantly in comparison with Al2O3 nanoparticles. 2017 -
Data encryption in public cloud using multi-phase encryption model
Cloud computing the most used word in the world of Information Technology, is creating huge differences in IT industry. Nowadays huge amount of data is being generated and the researchers are finding new ways of managing these data. Basically, the word cloud refers to a virtual database that stores huge data from various clients. There are three types of cloud public, private and hybrid. Public cloud is basically for general users where users can use cloud services free or by paying. Private cloud is for any particular organizations and hybrid one is basically combine of both. Cloud offers various kind of services such as IAAS, PAAS, SAAS where services like platform for running any application, accessing the huge storage, can use any application running under cloud are given. The cloud also has a disadvantage regarding the security for the data storage facility. Basically, the public cloud is prone to data modification, data hacking and thus the integrity and confidentiality of the data is being compromised. Here in our work the concern is to protect the data that will be stored in the public cloud by using the multi-phase encryption. The algorithm that we have proposed is a combination of Rail Fence cipher and Play Fair cipher. 2018 Snata Choudhury, Dr. Kirubanand V.B. -
Image contrast enhancement by scaling reconstructed approximation coefficients using SVD combined masking technique
The proposed method addresses the general issues of image contrast enhancement. The input image is enhanced by incorporating discrete wavelet transform, singular value decomposition, standard intensity deviation based clipped sub image histogram equalization and masking technique. In this method, low pass filtered coefficients of wavelet and its scaled version undergoes masking approach. The scale value is obtained using singular value decomposition between reconstructed approximation coefficients and standard intensity deviation based clipped sub image histogram equalization image. The masking image is added to the original image to produce a maximum contrast-enhanced image. The supremacy of the proposed method tested over other methods. The qualitative and quantitative analysis is used to justify the performance of the proposed method. 2015 The Science and Information (SAI) Organization Limited. -
Implementation of OpenId connect and O Auth 2.0 to create SSO for educational institutes
Increase in the number of users is directly proportional to the need of verifying them. This means that any user using any website or application has to be authenticated first; this leads to the creation of multiple credentials of one user. Now if these different websites or applications are connected or belong to one single organization like a college or school, a lot of redundancy of data is there. Alo ng with this, each user has to remember a wide range of credentials for different applications/websites. So in this paper, we addre ss the issue of redundancy and user related problems by introducing SSO using OpenId Connect in educational institutes. We aim to mark the di fference between the traditional system and proposed login by testing it on a group of users. 2018 Authors. -
Effect of nonlinear thermal radiation on double-diffusive mixed convection boundary layer flow of viscoelastic nanofluid over a stretching sheet
Background: The present exploration deliberates the effect of nonlinear thermal radiation on double diffusive free convective boundary layer flow of a viscoelastic nanofluid over a stretching sheet. Fluid is assumed to be electrically conducting in the presence of applied magnetic field. In this model, the Brownian motion and thermophoresis are classified as the main mechanisms which are responsible for the enhancement of convection features of the nanofluid. Entire different concept of nonlinear thermal radiation is utilized in the heat transfer process. Methods: Appropriate similarity transformations reduce the nonlinear partial differential system to ordinary differential system which is then solved numerically by using the RungeKuttaFehlberg method with the help of shooting technique. Validation of the current method is proved by having compared with the preexisting results with limiting solution. Results: The effect of pertinent parameters on the velocity, temperature, solute concentration and nano particles concentration profiles are depicted graphically with some relevant discussion and tabulated result. Conclusions: It is found that the effect of nanoparticle volume fraction and nonlinear thermal radiation stabilizes the thermal boundary layer growth. Also it was found that as the Brownian motion parameter increases, the local Nusselt number decreases, while the local friction factor coefficient and local Sherwood number increase. The Author(s). 2017. -
Prediction of software defects using object-oriented metrics
In recent years, many of the object-oriented software metrics were proposed for increasing the quality of software design such as prediction of defects and the maintainability of classes and methods. As the word metrics is frequently used for specific measurements taken on a particular process or item and in object-oriented metrics the metrics are the unit of measurements that is used to characterize the data.The fundamental point of this research is to identify the significance difference between software metrics which observes defect prediction and also study about their relation involving in the object oriented metrics that is named as "Chidamber and Kemerer metric suite" which is also known as "CK metrics suite", the number of defects and then finally decide the differences of the metrics in ordering to Eclipse classes as defective and selected with regard to defect prediction. IAEME Publication. -
Simulation, optimisation and analysis of energy saving in crude oil distillation unit
Physical distillation is the major process in crude oil refineries as of now. To ensure quality control in the final products, it is essential to ascertain the true boiling point of the crude oil and the products. The work is mainly concentrated to an industrial crude oil distillation unit. The objective of the paper is to present the simulation and optimisation of crude distillation unit (CDU) along with the analysis of energy saving, using Aspen HYSYS V8.8.2. Different crudes are taken into account, their properties and amount of distillate are analysed. The process optimisation is done in an easier manner using Aspen HYSYS rather than the conventional mathematical method, together with the advanced process control tools; make it profitable in the operation in real-time. The simulation results are validated with the actual plant results. Copyright 2018 Inderscience Enterprises Ltd.