bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical Investigation on MHD Marangoni Convective Flow of Nanofluid through a Porous Medium with Heat and Mass Transfer Characteristics
Authors: Venkateswara Raju K. , Durga Prasad P. , C. Raju` M. , Sivaraj R. 
Published: April 2019

The present study investigates on a steady two-dimensional Marangoni convective flow of nanofluid through a porous medium with heat and mass transfer characteristics. The proposed mathematical model has a tendency to characterize the radiation and chemical reaction effects. The governing equations in the form of partial differential equations have been converted into ordinary differential equations through similarity transformations, which have been solved by using Runge-Kutta method via shooting technique. The characteristics of velocity, temperature and concentration boundary layers are studied for different physical parameters. The local Nusselt and Sherwood numbers are estimated and discussed for aforesaid physical parameters. It is to be noted that the Marangoni ratio parameter is improves the rate of heat transfer and decreases the mass transfer rate.Â Â Â
Some Properties of the Lattice of Path Sets of a Connected Graph
Authors: R Girishkumara , S Lavanya 
Published: April 2019

It is known that the set of all path sets of a finite connected graph G together with empty set partially ordered by set inclusion relation forms a lattice denoted by PATH(G). In this paper we studied some properties of PATH(G). In fact, it has been shown that an element of PATH(G) is doubly irreducible if and only if it contains a single vertex which is not a cut vertex of G. Also it is proved that PATH(G) is planar if and only if G is a chain of three or more blocks.Â Â
Prime Labeling of Jahangir Graphs
Authors: Lakshmi. Anantha , K Jayalakshmi. , T Madhavi 
Published: April 2019

The paper investigates prime labeling of Jahangir graph Jn,mÂ Â for n â‰¥ 2, m â‰¥ 3 provided that nm is even. We discuss prime labeling of some graph operations viz. Fusion, Switching and Duplication to prove that the Fusion of two vertices v1 and vk where k is odd in a Jahangir graph Jn,m results to prime graph provided that the product nm is even and is relatively prime to k. The Fusion of two vertices vnm + 1 and vk for any k in Jn, m is prime. The switching of vk in the cycle Cnm of the Jahangir graph Jn,m Â is a prime graph provided that nm+1 is a prime number and the switching of vnm+1 in Jn, m is also a prime graph .Duplicating of vk, where k is odd integer and nm + 2 is relatively prime to k,k+2 in Jn,m is a prime graph.Â Â
A Study on Harmonious Coloring of Circulant Networks
Authors: Thamil Selvi.M.S Franklin , A Amutha , A Antony Mary 
Published: April 2019

Given a simple graph , a harmonious coloring of Â is the proper vertex coloring such that each pair of colors seems to appears together on at most one edge. The harmonious chromatic number of , denoted by Â is the minimal number of colors in a harmonious coloring of . In this paper we have determined the harmonious chromatic number of some classes of Circulant Networks.Â Â
Analysis of Lung Tumour Detection and Segmentation Using Level Set Method of Active Contour Model
Authors: Gopi K. , Selvakumar J. 
Published: April 2019

Lung cancer is the most common leading cancer in both men and women all over the world. Accurate image segmentation is an essential image analysis tool that is responsible for partitioning an image into several sub-regions. Active contour model have been widely used for effective image segmentation methods as this model produce sub-regions with continuous boundaries. It is used in the applications such as image analysis, deep learning, computer vision and machine learning. Advanced level set method helps to implement active contours for image segmentation with good boundary detection accuracy. This paper proposes a model based on active contour using level set methods for segmentation of such lung CT images and focusing 3D lesion refinement. The features were determined by applying a multi-scale Gaussian filter. This proposed method is able to detect lung tumors in CT images with intensity, homogeneity and noise. The proposed method uses LIDC-IDRI dataset images to segment accurate 3D lesion of lung tumor CT images.Â Â
A Fuzzy Rule based Expert System for T2DM Diagnosis
Authors: D.Dhivya A. , Felix A. 
Published: April 2019

Expert system is an intelligent system to captures the knowledge of a human expert in a specific area. It is capable to make decisions and dealing with ambiguous data. It is used to take an expert view in the absence of a human expertise. Moreover, it is not possible that everyone is expert in every field; to overcome this kind of situation, the expert system is called to handle the complex cases [7]. Due to non availability of the doctor, sometimes patient's life is in risk and lead to death due to not diagnose the disease properly as there are several diseases whose symptoms are quite similar in initial stage. Hence, the objective of this paper is to design the expert system for diagnosing the diabetes to go for early treatment.Â Â
Discovery of Knowledge Using Association Rules in Wireless Sensor Epocs-a Survey
Authors: M.Rani R. , Pushpalatha M. 
Published: April 2019

Data mining and knowledge discovery in huge data streams have recently involved in more applications used for decision making. Currently in wireless sensor networks, various mining techniques are used to discover knowledge on sensor data. Applying mining algorithm in wireless sensor data faces many challenges such as continuous arrival of sensor data, fast and huge data arrival, changes of mining results over time, online mining, data transformation, changing network topology, resource constraints and have emerged into various research problems.Â In Wireless Sensor Database, this paper presents a review on various approaches of association rule mining algorithms using various techniques forming sensor association rules generating frequent patterns to find upcoming sensor events or sensor fault detection or to estimate the missing sensor readings.Â Â
Path Loss Model Optimization Using Stochastic Hybrid Genetic Algorithm
Authors: Bhuvaneshwari A. , Hemalatha R. , SatyaSavithri T. 
Published: April 2019

In the context of modeling the propagation of mobile radio signals, optimizing the existing path loss model is largely required to precisely represent the actual propagation medium. In this paper, a hybrid tuning approach is proposed by merging the stochastic Weighted Least Square method and Genetic algorithm. The proposed hybrid optimization is employed to optimize the parameters of Cost 231 Hata propagation model and is validated by cellular field strength measurements at 900 MHz in the sub urban region. The hybrid optimization is compared with optimized results of Weighted Least Square method and Genetic algorithm. The least values of Mean Square error (0.2702), RMSE (0.4798) and percentage Relative error (3.96) justify the tuning precision of the hybrid method. The proposed optimization approach could be used by network service providers to improve the quality of service and in mobile radio network planning of 900 MHz band for 4G LTE services.Â Â
The Dynamics of Various Networks in Transnational Entrepreneurship and Study on Negative Factors to Enterprise among Immigrant Indian Entrepreneurs in UK - a Working Paper
Authors: Gangadhar N. , M. Manohar B. 
Published: April 2019

Transnational entrepreneurship has attracted a lot of interest from scholars around the world. The purpose of this paper is to investigate the factors that affect the internationalization of emerging transnational entrepreneurs in UK. This paper has considered only the entrepreneurs who are first generation immigration entrepreneurs who maintain business base in their home country and established a trading relation in the host country. The study focuses on the field of transnational entrepreneurship by proposing an exploratory study on Transnational Enterprise by defining the importance or relevance of different kinds of networks and also to explore the possibilities of negative factors such as bad experiences, dissatisfaction or negative perceptions of their host country, to be an inspiration to venture into transnational entrepreneurship.
Enhanced Web Page Ranking Method Using Laplacian Centrality
Authors: Jaganathan B , Desikan Kalyani 
Published: April 2019

In today's era of computer technology where users want not only the most relevant data but they also want the data as quickly as possible. Hence, ranking web pages becomes a crucial task. The purpose of this research is to find a centrality measure that can be used in place of original page rank. In this article concept of Laplacian centrality measure for directed web graph has been introduced to identify the web page ranks. Comparison between the original page rank and Laplacian centrality based Page rank has been made. Kendall's Â correlation co-efficient has been used as a measure to find the correlation between the original page rank and Laplacian centrality measure based page rank.Â Â
The Split Distance 2 Domination in Graphs
Authors: Lakshmi A. , Ameenal Bibi K. , Jothilakshmi R. 
Published: April 2019

A distance - 2 dominating set DÂ V of a graph G is a split distance - 2 dominating set if the induced sub graph <V-D> is disconnected. The split distance - 2 domination numberÂ is the minimum cardinality of a split distance - 2 dominating set. In this paper, we defined the notion of split distance - 2 domination in graph. We got many bounds on distance - 2 split domination number. Exact values of this new parameter are obtained for some standard graphs. Nordhaus - Gaddum type results are also obtained for this new parameter.Â Â
Integer Interval Value of Milneâ€™s Predictor and Milneâ€™s Corrector Method for First Order ODE
Authors: Arul Dass A. , Veeramalai G. 
Published: April 2019

In this paper A new approaches to solve the approximate Â Â solution of Â Â the initial value problem for the first order ordinarydifferential equations and the solution can be used to computeÂ y numerically specified the value of Â Â Â near to in theÂ interval analysis method and also used Milneâ€™s predictor and correctorÂ for interval. In interval method gives a more accurate theapproximate solution of life situation and numerical illustration are givenÂ
Routing Algorithm for Fastest Path â€“ a Queuing Approach
Authors: S Nandhini , Begum S Shajitha , M S Sanjay 
Published: April 2019

Finding a fastest route for data packets is a complex process as far as large scale network is considered.Â Fastest path helps to minimize the delay, data loss and in turn minimizes the total cost of the network. Dijkstraâ€™s algorithm is one of the most commonly used algorithms for finding the shortest path from one source node to another destination node, which pertains to positive weights only.Â In this paper, Dijkstraâ€™s Algorithm combined with the features of single server queuing model is presented to find the fastest route between any two given nodes.Â In this improvised algorithm, every edge along with its end vertices is considered as M/M/1 queuing model.Â The Waiting time of a packet, number of packets in the system and the probability that the queue length exceeds Â packets are considered along with the weight of the particular link, for the calculation of the fastest route.Â Â Â
MATLAB Programming of Nonlinear Equations of Ordinary Differential Equations and Partial Differential Equations
Authors: Balamuralitharan S. , . . 
Published: April 2019

My idea of this paper is to discuss the MATLAB program for various mathematical modeling in ordinary differential equations (ODEs) and partial differential equations (PDEs). Idea of this paper is very useful to research scholars, faculty members and all other fields like engineering and biology. Also we get easily to find the numerical solutions from this program.Â Â
Various Separation Axioms on -Closed Sets
Authors: V Vaishnavy , K Sivakamasundari 
Published: April 2019

The idea behind this article is to introduce and study the notions of -compactness, -connectedness and Gi-axioms. TheseÂ Â Â Â Â Â Â Â Â notions are characterized using various spaces and different types of continuity.Â Â
Mean Square Cordial Labeling of Some Cycle Related Graphs
Authors: Dhanalakshmi S. , Parvathi N. 
Published: April 2019

In this paper we investigate the Mean square cordial labeling for some cyclic graphs like Helm graph Hp, Closed helm graph CHp, Gear graph Gp, Sunlet graph SLp, Fan graph F1,p and CpÊ˜nK1 Â .Â
Hall Current Effect in MHD Oscillatory Couple Stress Dusty Fluid through an Inclined Saturated Permeable Channel
Authors: Govindarajan A. , Vijayalakshmi R. 
Published: April 2019

This paper aims to study the Hall current effect in MHD (Magneto Hydro Dynamics) oscillatory couple stress dusty fluid (blood) flowing through an inclined permeable medium channel. A mathematical model for both the fluid and particle phases are framed based on the conservation laws. The exact form of solutions for velocity, energy, species concentration profiles are got by solving the corresponding partial differential equations. To have a better knowledge about the problem, quantitative estimates are presented pictorially and discussed to know the main features of different measurable factors like radiation, Hall current, Schmidt number, Nusselt number etc.Â Â
Two Warehouse Optimal Inventory Model for Non-Instantaneous Deteriorating Items
Authors: Rangarajan K. , Karthikeyan K. 
Published: April 2019

In this article, an optimal ordering policy for the stock model of items, whose deterioration starts after a certain period of time under the Â dispatching policy Last in First Out (i.e. LIFO) in owned and rented warehouses is presented Â with the demand of the product increases up to a certain point and that remains constant, deterioration rate which depends on time and Â inflation.Â The main aim of the present article is to find an optimal Â Â Â inventory model, which minimizes the total stock cost. Finally, this model is analyzed through by numerical examples .Â
A Numerical Investigation on MHD Couple Heat and Mass Transfer Past a Rotating Vertical Cone Embedded in a Porous Medium
Authors: Veera Reddy S. , S S Raju G. , G. Vijaya Kumar A. 
Published: April 2019

This collaborative effort highlights the effects of combined energy and species transmission through the both mechanism of convections of a fluid flow witch obeys Newtonâ€™s law of viscosity, over a rotatory upward directed geometrized cone from conic section surrounded with a medium possessing porosity along with applied magnetic field and chemical reaction effects with Dufour effect.Â The fundamental laws such as mass conservative, linear momentum conservative, heat energy and molecular diffusion conservative field are transmuted using suitable Â analogous variables witch do not change anyway the modelling and then shooting method that is implemented along with Â Runge-Kutta method to obtain the solutions. The results obtained are in excellent agreement with previous works in the same discipline.Â Graphical representation of with distinct numeral magnitudes for fluid transport, temperatures, species levels, besides that local polar tangential and azimuth (the angle between projected and reference vectors) coefficient of friction drag, local energy and mass transmission rates near the wall surface is displayed as one scrolls down and discussions for mixed values of some physical quantities independent of S.I units to gather much attention upon the results on the solutions are also made. Its applications include making equipment coolant, reactors with bedding, in a system of porous wafers absorbed by solar rays and in the preparation of some fusion materials. Other disciplinarians are aircrafts wings, space research, asteroid and geophysical matters, in concern of energy-species-density dependence. Â Â
Heat and Mass Transfer Effects on MHD Nanofluids Past Over an Inclined Plate
Authors: Palani G. , Arutchelvi A. 
Published: April 2019

This paper highlights the effects of radiation and MHD nanofluid flowing over a permeable medium that undergoes chemical reaction in first order. The nanoparticles used in the study are copper, aluminium oxide, titanium oxide and silver. The governing partial differential equations are solved by Laplace transform technique. The influences of several values of the physical parameters on velocity, temperature, concentration profiles are analyzed in an extensive way. The derived findings are depicted in graphs. The numerical results are found for Skin friction coefficient, Nusselt and Sherwood numbers that are revealed in tabular form.
Oscillation of Second-Order Quasilinear Generalized Difference Equations
Authors: Srimanju V. , Khadar Babu Sk. , Chandrasekar V. 
Published: April 2019

Authors present sufficient conditions for the oscillation solutions of the generalized perturbed quasilinear difference equationÂ where , . Examples are illustrates the importance of our results are also included.Â Â
Road Extraction using Deep Learning
Authors: D. Dorathi Jayaseeli J. , Malathi D. , S Gopika 
Published: April 2019

The Road extraction from aerial image, stands as a quintessential node for the development of rudimentary layers in innumerable fields. From GIS, to Unmanned Aerial vehicles, road maps pave the foundation for data accumulation. This significant process is a result of number of mechanisms devised over the years through iterative experiments and research. However, the glut of methods available often pose as a hurdle in the selection process. In this project we implement a novel approach to solve the extraction problem, by incorporating generative algorithm using conditional adversarial networks. We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping from input image to output image, but also learn a loss function to train this mapping. This makes it possible to apply the same generic approach to problems that traditionally would require very different loss formulations. The U-Network incorporated essentially convolves and de-convolves over the generative model, thus producing a pixel to pixel image translation, the result of which is the vector road map of its corresponding aerial image. The entire model is trained on a 990 MS GPU for computational ease.
Long Short Term Memory Recurrent Network for Standard and Poorâ€™s 500 Index Modelling
Authors: Jadid Abdulkadir Said , Alhussian Hitham , Nazmi Muhammad , A Elsheikh Asim 
Published: April 2019

Forecasting time-series data are imperative especially when planning is required through modelling using uncertain knowledge of future events. Recurrent neural network models have been applied in the industry and outperform standard artificial neural networks in forecasting, but fail in long term time-series forecasting due to the vanishing gradient problem. This study offers a robust solution that can be implemented for long-term forecasting using a special architecture of recurrent neural network known as Long Short Term Memory (LSTM) model to overcome the vanishing gradient problem. LSTM is specially designed to avoid the long-term dependency problem as their default behavior. Empirical analysis is performed using quantitative forecasting metrics and comparative model performance on the forecasted outputs. An evaluation analysis is performed to validate that the LSTM model provides better forecasted outputs on Standard & Poorâ€™s 500 Index (S&P 500) in terms of error metrics as compared to other forecasting models.Â Â
Security Source Code Analysis of Applications in Android OS
Authors: Azam Sami , Singh Sumra Rajvinder , Shanmugam Bharanidharan , Cher Yeo Kheng , Jonokman Mirjam , Narayana Samy Ganthan 
Published: April 2019

It is a known fact that Android mobile phonesâ€™ security has room for improvement. Many malicious app developers have targeted Â Â Â Â android mobile phones, mainly because android as an open operating system provides great flexibility to developers and there are many android phones which do not have the latest security updates. With the update of marshmallow in android, applications request Â Â Â Â Â Â Â Â Â Â permission only during runtime, but not all users have this update. This is important because user permission is required to perform Â Â Â certain actions. The permissions may be irrelevant to the features provided by an application. The purpose of this research is to Â Â Â Â Â Â Â Â Â investigate the use and security risk of seeming irrelevant permissions in applications available from Google store. Two different Â Â Â Â Â Â Â applications which seem to ask irrelevant permissions during installation were selected from Google store. To test these applications, static analysis, dynamic analysis and reverse engineering tools were used. Findings show potentially malicious behavior, demonstrating that downloading apps from Google play store do not guarantee security.Â Â
Leveraging Sustainability of HEIs in Malaysia through Lean and Green Strategies: a Literature Review and Research Agenda
Authors: Nawanira Gusman , Khai Loona Lee , Mahmuda Fatimah , Kong Teongb Lim 
Published: April 2019

The journey towards sustainable development (SD) in Malaysia was started since the 1970s. Afterwards, a Malaysian New Economic Model (NEM) was formulated to pursue SD targeting high income, inclusivity and sustainability, which is in line with the 2030 SD agenda. Based on the goals of NEM, the Eleventh Malaysia Plan 2016-2020 (11MP) was developed. One of the 11MP coverage areas is education. In order to be sustainable, Malaysian higher-education institutions (HEIs) committed to corroborate this agenda by articulating an obligation to embrace the sustainability principles. However, within the Malaysian academic setting, it is still in its infancy, as most of the studies were constrained within the context of single university. In addition, to what extent the planning, strategies, and approaches for HEIs sustainability have been implemented tended to be neglected. Consequently, SD in HEIs is still far from being integrated into a holistic manner by policy makers. This paper extensively reviews the literature regarding the SD in the context of HEIs and provides some ideas for the future research leading towards the development of a comprehensive framework for sustainability development in Malaysian HEIs. Expectedly, this study could benefit policy makers, key players, and universities top management to progress towards sustainable university in an effective and efficient manner. It may strengthen the discourse on the implementation of SD initiatives within the Malaysian HEIs.Â Â
Harmonic Elimination of Cascaded Multilevel Inverter using Metaheuristic Optimization Methods
Authors: Kumar Dash Srikanta , Nayak Byamakesh , Ballav Sahu Jiban , Rout Rojalin 
Published: April 2019

The harmonic elimination of multilevel inverters is a complicated task that includes nonlinear transcendental equations. With the increase in the level of the multilevel inverter, the no of variables of the equation also increases which makes the problem more complicated. Metaheuristic optimization algorithms play an important role in finding out optimum switching angles required for elimination of harmonics in a lesser computational time avoiding multiple local minima. This paper deals with the harmonic elimination of cascaded multilevel inverter using whale optimization algorithm. The whale optimization method has the ability to escape local minima and it takes less time of computation of results. Results are verified theoretically by taking an example of a 15-level cascaded H-bridge inverter fed from equal d.c.sources. The above scheme well minimizes lower order harmonics and gives better output voltage and a low total harmonic distortion.Â Â