bluuebunny/crossref_metadata_2025 huggingface dataset:
Velocity Slip and Thermal Jump on Maxwell Fluid with Non-Fourier Cattaneo-Christov Heat Flux Using SRM Solutions
Authors: Gangadhar K. , V. Ramana K. , Rushi Kumar B.
Published: April 2019

The influence of the heat transfer within a boundary layer flow and magneto hydro dynamic slip flow of a Maxwell fluid over a stretching cylinder is analyzed and discussed in the present article. The effects of viscous dissipation and thermal jump are assumed. The procedure of heat transfer through hypothesis of Cattaneo-Christov heat flux is considered. We converted non-linear partial differential equations for mass, momentum and energy into a system of coupled highly non linear ordinary differential equations with proper boundary conditions by the help of suitable similarity transformations. The succeeding ordinary differential equations are solved by using Spectral relaxation technique. The solution is obtained in zero curvature parameter as well as non-zero curvature parameter.Â  i.e. for flow above a flat plate and flow above a cylinder. The flow and heat transfer attributes are witnessed to be encouraged in an elaborate mode by Prandtl number, thermal jump parameter, thermal relaxation parameter, Deborah number, slip velocity parameter, Eckert number and the magnetic parameter. Our findings reveal that one of the possible ways to decrease the Deborah number by boosting fluid velocity. It is also perceived that in the case of flow over a stretching cylinder, the momentum boundary layer thickness and the velocity of the fluid increases. Furthermore, an increase in slip velocity factor reduces the magnitude of skin friction.Â Â
High Performance of Solar Cooker by Heat Transfer Mode Condition System Using Fuzzy Logic Controller Applications
Authors: S Bhavani , S Shanmugan. , P Selvaraju
Published: April 2019

In this work has been made to predict the effect of several parameters on the productivity to a system by expending fuzzy set technique. A solar cooker has been developed low cost and critically high efficiency produce in Vel Tech Multitech Engineering College at Chennai, Tamilnadu, India. Dissects in thermal performance of cooking system have been produced heat transfer follow in fuzzy logic techniques (Low, Medium, and High). The thermal effect of factor should be developed in fuzzy logic for the system. They should have groups of heat transfer produced in fuzzy logic controller for solar cooker system which had been implemented of system performance discussed. It is to study have induced to give the shortly time for the enhancement of the box solar cooker production.Â Â
Numerical Study of the Effect of Concentric, Thermally-insulated Insert on Brinkman-Forchheimer Flow and Heat Transfer through a Cylindrical Tube
Authors: G. Siddheshwar P. , Ashoka S. , P. Suthar Om
Published: April 2019

The system of non-linear algebraic equations arising from the application of the central difference approximation to the fully developed Brinkman-Forchheimer flow equation is solved using the computer assisted continuation method based on the classical, explicit Runge-Kutta method of four slopes. The continuation method is found to be very effective in capturing boundary and inertia effects in the considered flow through porous media. Further, it succeeds in giving the required solution for large values of Forchheimer number when shooting method fails to do so. Heat transport in forced convective flow through the annulus is quantified in terms of the Nusselt number. It is found that the effect of increasing the radius of the inner cylinder is to increase the Nusselt number. The results of fully-developed, non-linear flow and heat transfer through a rectangular channel and a cylindrical porous tube are obtained as limiting cases of the present study.Â
A New Approach to Common Coupled Fixed Point of Caristi Type Contraction on a Metric Space Endowed with a Graph
Authors: Adilakshmi G. , N.V.Kishore G. , Konda Reddy N.
Published: April 2019

In this paper we introduced a new notation G â€“ fg â€“Â Â  contraction of Caristi type and a new edge preserving property. With help of these we proved a some coupled fixed point results for four maps endowed with a graph in a complete metric space. Also we gave an application to integral equations.Â
K-Graceful, Odd-Even Graceful, Heronian Mean and Analytic Mean Labeling for the Extended Duplicate Graph of Kite Graph
Authors: Anitha K. , Selvam B. , Thirusangu K.
Published: April 2019

In this paper, we investigate the extended duplicateÂ  graph ofÂ  kite graph KI3,m admits K-graceful, Odd-Even graceful, Heronian mean and Analytic mean labeling.Â Â
On a Vendor-Buyer Integrated Inventory Model with Different Co-Ordination Levels
Authors: Pandian P. , Dhivya Lakshmi M.
Published: April 2019

An integrated inventory model with different co-ordination levels for a vendor and a buyer is proposed in this paper. The optimal policies for the proposed model are obtained. Numerical example of the developed model is presented and analyzed.Â Â
Neighborhood Connected Two -Outdegree Equitable Domination of the Ï‘-Obrazom Graphs of P_n,G_n and H_n
Authors: Ameenal Bibi K. , Rajakumari P.
Published: April 2019

Let G=(V,E) be a connected graph. A two-outdegree equitable dominating set D of a graph G is called the neighborhood connected two-outdegree equitable dominating set (nc2oe-set) if the induced sub graph  is connected. The minimum cardinality of the minimal neighborhood connected two-outdegree equitable dominating set is called neighborhood connected two-outdegree equitable domination number of G and is denoted by . In this paper, we initiated the a study of this parameter and obtained Â for the -obrazom graphs of Â and . Also, we investigated the two-outdegree equitable domination number of the -obrazom graphs ofÂ  and .Â Â
An Application of Goal Programming in Data Envelopment Analysis
Authors: Venkateswarlu B. , Mahaboob B. , Ravi sankar J. , Narayana C. , Madhusudhana Rao B.
Published: April 2019

This research paper describes the transformation of the CCR fractional Programming Problem in to the CCR linear programming problem and the dual of the CCR problem. Here the Dual of CCR problem is viewed as BCC [1] formulation Obtained by axiomatic considerations. A goal programming method for finding common weights in DEA with an improved discriminating power for efficiency was proposed by A. Makui et.al [2]. Hamid Reza Babaee Asil and Sara Fanati Rashdi [3] investigated the relationship between resource allocation problems with the problem of weight control and target selection. M. Izadikhah, R. Roostaee et.al [4] proposed a method in which DEA problem can be solved by transforming it into MOLP formulation. The present research study explains the method of finding extremely efficient DMUs and their marveric indexes, the procedure to increase the discriminating power of DEA and the Process of obtaining a set of multiplier weights common to all the DMUs which leads to Global efficiency. In the following discussion a procedure to improve the discriminative power of DEA with goal Programming is proposed.
A Discourse on Modified Likelihood Ratio (LR), Wald and Lagrange Multipliers (LM) Tests for Testing General Linear Hypothesis in Stochastic Linear Regression Model
Authors: Narayana C. , Mahaboob B. , Venkateswarlu B. , Ravi sankar J. , Balasiddamuni P.
Published: April 2019

In this research paper various new advanced inferential tools namely modified likelihood ratio (LR), Ward and Lagrange Multiplier test statistics have been proposed for testing general linear hypothesis in stochastic linear regression model. In this process internally studentized residuals have been used. This research study has brought out some new advance tools for analysing inferential aspects of stochastic linear regression models by using internally studentized residuals. Miguel Fonseca et.al [1] developed statistical inference in linear models dealing with the theory of maximum likelihood estimates and likelihood ratio tests under some linear inequality restrictions on the regression coefficients. Tim Coelli [2] used Monte carlo experimentation to investigate the finite sample properties of maximum likelihood (ML) and correct ordinary least squares (COLS) estimators of the half –normal stochastic frontier production function. In 2011, p. Bala siddamuni et.al [3] have developed advanced tools for mathematical and stochastic modelling.
Optimizing Milk Run and Use of Bin-Packing in Waste Collection Problems
Authors: Prasad S. , V. Kureethara J.
Published: April 2019

This paper uses the concepts of milk runs as well as bin packing in order to optimize collection and reduce cost. Using the concept of â€œmilk runâ€ and an approach of time minimization, we can optimize the number of trucks and other vehicles used for picking and transporting waste. The objective function involves cost of transportation and is linked to distance travelled to dispose wastes. The constraints are those of vehicle capacity. The profile of different types of trucks obtained from milk run is used to compute number of trucks as well as to allot them to different trips.Â Â
Bounds of Laplacian Energy of a Hypercube Graph
Authors: Ameenal Bibi K. , Vijayalakshmi B. , Jothilakshmi R.
Published: April 2019

LetÂ  Qn denoteÂ  the n â€“ dimensionalÂ  hypercubeÂ  withÂ  orderÂ Â  2n andÂ  size n2n-1. TheÂ  LaplacianÂ  LÂ  is definedÂ  byÂ  L = D Â where D isÂ  theÂ  degreeÂ  matrix andÂ  A isÂ  theÂ  adjacencyÂ  matrixÂ  withÂ  zeroÂ  diagonalÂ  entries.Â  TheÂ  LaplacianÂ  is aÂ  symmetricÂ  positiveÂ  semidefinite.Â  LetÂ  Âµ1 â‰¥ Âµ2 â‰¥ ....Âµn-1 â‰¥ Âµn = 0 be the eigen values ofÂ  the Laplacian matrix.Â  TheÂ  LaplacianÂ  energy is defined asÂ  LE(G) = . InÂ  thisÂ  paper, weÂ  definedÂ  LaplacianÂ  energyÂ  ofÂ  aÂ  HypercubeÂ  graphÂ  andÂ  also attainedÂ  theÂ  lowerÂ  bounds.Â Â Â
3D- flow of a Electrically Conducting and Dissipating Maxwell fluid treated with Ohmic Heating Convective boundary condition: Numerical Analysis
Authors: Malliswari B. , Sreenivasulu P. , Poornima T. , Bhaskar Reddy N.
Published: April 2019

An analysis is made to study the effects of radiation, dissipation, Thermo-diffuso and Diffuso- thermo on MHD 3D Maxwell flow past a stretching permeable sheet with resistive heating. Transforming the governing dimensional boundary layer equations using three dimensional similarity transformations and then the resultant equations are numerically solved by employing Shooting method.Â  The effect of the pertinent parameters on various flow distributions is elaborately discussed with the help of graphs and tables. The comparison of present results with the existing literature gave an excellent agreement for the reduced cases.Â Â
Rotating Hydromagnetic Two-Fluid Convective Flow and Temperature Distribution in an Inclined Channel
Authors: Sri Ramachandra Murty P. , Balaji Prakash G. , Karuna Sree Ch.
Published: April 2019

Magnetohydrodynamic convective two-fluid flow and temperature distribution between two inclined parallel plates in which one fluid being electrically non-conducting and the other fluid is electrically conducting is studied. A constant magnetic field is applied normal to the flow. The system is rotated about y-axis with an angular velocity â€˜Wâ€™.Â  Perturbation method is used to obtain solutions for primary velocity, secondary velocity and temperature distribution by assuming that the fluids in the two regions are incompressible, laminar, steady Â and Â fully Â developed. Â Increasing Â values Â of Â rotation Â is Â to Â reduce Â temperature Â distribution Â and Â primary Â velocity where as thesecondary velocity increases for smaller rotation, while for larger rotation it decreases.Â
An M/G/1 Retrial Queueing System with Phase Type Services and Working Vacations
Authors: Rajadurai P. , Santhoshi R. , Pavithra G. , Usharani S. , B. Shylaja S.
Published: April 2019

A multi phase retrial queue with optional re-service and multiple working vacations is considered. The Probability Generating Function (PGF) of number of customers in the system is obtained by supplementary variable technique. Various system performance measures are discussed.Â
Mathematical Model for Traffic Flow
Authors: C Keerthika , Greeshma Narahari , Vyshnavi Priya , Kumar Reddy Vyshnavi , Indhira K. , M. Chandrasekaran V.
Published: April 2019

Every year countless hours are lost in traffic jams. When the density of traffic is sufficiently high small disturbances in vehicleâ€™s accelerations can cause phantom traffic jams. We can relate the traffic flow to mathematics and physics like that of liquids and gases. This paper presents mathematical model for phantom jams and Gauss Jordan elimination for traffic flow.Â Â
Stability Analysis and Optimization of Wind Energy Conversion System Using Extremum Seeking Output Feedback Controller for Dynamic Wind Speed Variations
Authors: B.Hemanth Kumar M. , Saravanan B.
Published: April 2019

Stability of power systems is an important aspect for interconnecting different renewable energy sources into the existing electrical network. The concern over environmental effects due to conventional power plant made the researchers to implement many solutions for introducing renewable energy due to their intermittent nature. When the wind energy conversion system is introduced into the grid thereâ€™s need of voltage and frequency control for maintaining reactive power demand and also many issues from the consumer end and also it must satisfy the grid standards. As the wind is dynamic in nature there are issues like stability, load imbalance, power quality and other issues. In this paper, a non-linear feedback controller is introduced based on field-oriented control (FOC) approach and simulated in MATLAB environment. The designed controller is tested for wind data for examining the stability and power coefficient for the wind turbine. This controller also achieves fast transient response for rapid changes in the wind profile.Â Â
Fuzzy Rough G-Border and Fuzzy Rough G-Exterior in Fuzzy Rough Topological Groups
Authors: Vidhya D. , Yogalakshmi T. , Visalakshi V.
Published: April 2019

This paper investigates the concepts of fuzzy rough G-border and fuzzy rough G-exterior. Some interesting properties are established. Also the relationship between them are established.Â
Dijkstra Algorithm Application: Shortest Distance between Buildings
Authors: Deepa G. , Kumar Priyank , Manimaran A. , Rajakumar K. , Krishnamoorthy V.
Published: April 2019

The shortest path algorithm is one of the best choices for implementation of data structures. The shortest path (SP) problem involves the problem of finding a suitable path between â€œtwo vertices or nodes in a graphâ€ in such a way that the sum of the weights of its component edges is minimal. There are many theories for solving this problem one of the widely used way solution for solving this problem is Dijkstraâ€™s algorithm (DA) which is also widely used in many engineering calculation works also. There are two types of DA one is the basic one and other one is optimized. This paper is focused on the basics one which provides a shortest route between source node and the destination node. Main focus has been kept on keeping the work simple and easy to understand with some basic concepts .Storage space and operational efficiency improvement has been tried to improve.Â
A Big Data Solution to Detect Conditional Functional Dependency Violations
Authors: Somasekhar G. , Karthikeyan K.
Published: April 2019

The violation detection of conditional functional dependencies in distributed environment has been a research problem giving inspiration to many researchers recently. A very few solutions were given in the recent past to handle conditional functional dependencies. Unfortunately, these are inappropriate in real time big data applications. This article mainly focuses on the big data solution to such type of problems. The proposed IMRCFDHBD algorithm reduces elapsed time and provides scalability with minimum data shipment. The result proves that the algorithm outperforms the state-of-the-art techniques in the big data scenarios.Â Â
A Discourse on the Estimation of Nonlinear Regression Model
Authors: Mahaboob B. , Venkateswarlu B. , Ravi Sankar J. , Peter Praveen J. , Narayana C.
Published: April 2019

The present study evaluates an estimation for regression model which are nonlinear with Goldfeld, Quandt and exponential structure for heteroscedastic errors. An IENLGLS (Iterative Estimated Nonlinear Generalised Least Squares) estimator based on Goldfeld and Quandt for parametric vector has been derived in this research article. VolkanÂ Â  Soner Ozsoy e.t.al [1], in their paper, proposed an effective approach based on the particle Swarm Optimisation (PSO) algorithm in order to enhance the accuracy in the estimation of parameters of nonlinear regression model. Ting Zhang et.al [2], in their article, established an asymptotic theory for estimates of the time-varying regression functions. Felix Chan et.al [3], in their paper, proposed some principals which are sufficient for asymptotic normality and consistency of the MLH estimatorÂ
Kth Root Transformation for a subclass of Log-Sigmoid Analytic Function based on Quasi-Subordination
Authors: Hari Priya M. , Bharavi Sharma R. , Suman Kumar V.
Published: April 2019

In the present investigation, using the concept of quasi-subordination, two subclasses of analytic functions have been introduced. The coefficient inequalities, the Fekete-Szego inequality, upper bounds for kth  root transformation were studied. This study is extended to function  and for  .
Location Domination Number of Sum of Graphs
Authors: Rajasekar G. , Nagarajan K. , Seenivasan M.
Published: April 2019

Locating dominating set is the subset  of the vertex set  which dominate and uniquely identify all vertices of the set . In this paper we formulated the apt method for finding the location domination number of sum of graphs  based on the nature of the graphs  and .
Interval-Valued Intuitionistic Fuzzy INK-Ideals of INK-Algebra
Authors: K. Indhira. , M. Kaviyarasu. , V.M Chandrasek
Published: April 2019

Mathematical structures of Interim valued IF INK-ideal on INK-algebras are presented. We established that every IF- (INK)-ideal of an INK algebra A can be executed as an level ideal (INK) of an iv IF(INK) of U. As far as the idea of homomorphism, we talked about the cartesian result of i-v IF(INK)- ideal.
Optimal Placement of Fuzzy based UPQC Topologies with Distributed Generation for Power Quality Enhancement in IEEE 14 Bus System
Authors: R. Sukhesh H. , Vadivu U. Senthil , Karthikey Prabhakar , . .
Published: April 2019

An Unified Power Quality Conditioner (UPQC), is a combination of shunt and series Active Power Filter (APF), has become a standard accepted solution in the area of current and voltage harmonics mitigation of a power system network. This paper furnishes a comparative analysis of the power quality enhancement and optimization in positioning for three different VSI based UPQC system configurations namely: 3P3W UPQC topology, 3P4W UPQC based on 2C shunt inverter topology and 3P4W UPQC based on 4L shunt inverter topology, all supported with the Fuzzy Logic Controller (FLC), placed at different locations in a standard IEEE 14 bus system. Simulation results using MATLAB/SIMULINK provides the optimal position of UPQC for mitigating the harmonic issues in the standard IEEE 14 bus system.Â Â
Predicting Sudden Deaths Following Myocardial Infarction in Malaysia Using Machine Learning Classifiers
Authors: Hazrani Abdul Halim Muhammad , Suhaylah Yusoff Yumn , Md Yusuf Mazlynda
Published: April 2019

Myocardial infarction (MI) is among the top causes of death in Malaysia. The mortality rate following MI was high, especially within the first 30 days after the onset. This paper study the ability of k-Nearest Neighbors (kNN) and NaÃ¯ve Bayes algorithms to predict the 30-day mortality of MI patients, using. The dataset used for this study is provided by National Cardiovascular Disease Database (NCVD) which consist of 2840 MI patients from hospitals in Malaysia. The sudden death predictions made by the machine learning are based on the age, gender, year of onset, smoking habit, BMI, diabetes, hypertension and cholesterol level. The result suggests that kNN algorithm has better performance in predicting the sudden death compared to NaÃ¯ve Bayes. The number of independent variables plays an important role in mortality prediction, and removing insignificant variables improve the performance.Â
Analysis of Contract Farming Partnership for Sustainable Supply of Tobacco (a Case Study on the Integrated Production System Program of PT. HM Sampoerna Tbk. - Indonesia)
Authors: DS Susilowati Kartika , Rachmi Asminah , Indah Riwajanti Nur
Published: April 2019

This study explored the implementation of the integrated production system program established by PT. HM Sampoerna Tbk Indonesia, a leading Indonesian tobacco company, and examined its potential and constraints. The program was intended to develop cooperation between the company and its tobacco suppliers to get a sustainable supply of tobacco from farmers with quantity, quality and price set according to the companyâ€™s standards. This study employed an interpretive research design, following a post-positivist paradigm. The data were collected by means of in-depth interviews, observation and document study and were analyzed using the key tenet of Martin Heideggerâ€™s interpretive phenomenology. The interpretive process was achieved through hermeneutic circle to understand how individuals involved in the program interpreted the program including their own experiences as well as their interactions with other parties. The results of the study indicated that the created contract farming partnership was capable of providing the company with a sustainable supply of tobacco and increasing its production volume. Nevertheless, it was unable to improve the quality of the farmersâ€™ lives as it was chiefly intended to meet the companyâ€™s commercial needs. The results from the study have direct relevance to policy makers in Indonesia, especially those that have been implemented contract farming and to agribusiness companies seeking contractual relationships for commodity production.Â Â Â
The Impact of Information Technology Capability on Supply Chain Technology Adoption and Supply Chain Operational Performance: a Resource based View
Authors: Khai Loon Lee , Nawanir Gusman , Hanaysha Jalal , Abu Bakar Zahari
Published: April 2019

Organization increasingly relies on the supply chain technology to improve the supply chain operational performance. Yet, past evidence suggests that the adoption of supply chain technology does not guarantee enhanced supply chain operational performance. Drawing from the Resource Based View, this study found that information technology (IT) capability enabled supply chain technology adoption in achieving supply chain operational performance. Supply chain technology serves as a system in transforming IT capability into a higher value resources for an organization. The adoption of supply chain technology in managing supply chain deserved attention from researchers and practitioners, because business benefits from supply chain technology adoption improve firmâ€™s supply chain performances which enhance reliability, improve responsiveness, increase agility, and minimize cost in operation functions. This study provides a unique theoretical framework intended to aid researchers and practitioners develop a more thorough understanding of the linkages between information technology capability, supply chain technology adoption, and supply chain operational performance. The total of 201 questionnaires were sent to Malaysia's textile and apparel company that is listed in the Federation of Malaysian Manufacturers (FMM) and Malaysian External Trade Development Corporation (MATRADE) directory. The total of 121 usable responses were obtained and analyzed through Partial Least Square Structural Equation Modeling (PLS-SEM). The discussion of this study is followed by presenting the results of the survey on the relationship of IT capability on supply chain technology adoption and supply chain operational performance. The results shown that supply chain technology adoption is mediating the relationship between IT capability and supply chain operation performance.Â Â
Computer Games as Learning Tool towards Children Road Safety Education
Authors: Hussin Masnida , Hanis Mohd Fouzi Nor
Published: April 2019

Road safety awareness is one of the many awareness programs that are often highlighted and discussed around the world. The road accident statistics are increased due to the lack of exposure and awareness among communities about traffic environments and rules. Children are one of the most vulnerable populations involved in traffic accidents. The children are unable to familiarize themselves with the surroundings, especially when crossing the road. This research attempts to improve road-safety awareness among children by using computer games as a learning tool. Specifically, it determines the progress of knowledge on the road rules and conditions after the children using the tool. The computer online game is suitable methods to use for teaching them on road safety due to interactive application always intimate the children. Besides the survey questions that related to road traffic rules, we also measures the attitude towards road safety in the participant (i.e., children and adult). Descriptive analysis in frequency, mean, and percentage are used to describe the respondentâ€™s information. Statistical Package for Social Science (SPSS) is used to analyze the findings. The overall findings show that all respondents have positive feedback on online games as a road safety tool. Interestingly, the significant output shows on the different knowledge about road safety when the children are analyzed for before and after they played the games. The future research is suggested to study the other group of participant as the respondent in this work is limited to the primary school children. It can be improved by involving the large sample size and wider location.Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â  Â
Refusal of Youth to Vote in Shah Alam, Selangor, Malaysia
Authors: Ramlan Mohd Arshad Mohd , Mohd Salleh Norhayati , . .
Published: April 2019

The involvement of youth in todayâ€™s politic will influence the future state of Malaysia. The aim of this research is to study on the antecedents that make youth refuse to vote in Shah Alam. The respondents for this research are the youth whom registered as voter for Shah Alam Parliamentary seat. The main objective of this study is to determine the most significance factor that affected their voting behavior. The respondent of this study was 150 youth voters. Purposive sampling technique have been used with questionnaire as the instruments for collecting data. In determining the relationship between the voting refusal behaviors, Correlation Analysis and Regression Analysis were used. Based on the findings, ignorant is the main antecedent of youth refusal to vote in election. Hence, the government, political parties Election Commission of Malaysia and all beneficiaries must work together to ensure our youth exposed to political system and encourage them to involve in selecting the leaders.Â Â Â
Implementing Fully Privately Run Public Schools: Top View
Authors: Muhamad Hizam Sheikh Khairuddin Sheikh , Ismail Kamaruzzaman , Zainudin Zalina
Published: April 2019

The aim of this paper is to identify the perceptions of teachers and regulators in implementing fully privately run public schools (FPRPS) in Malaysia. Under the Malaysian Educational Blueprint (MEB) 2013 - 2025, it is clearly stated that the programs and activities that would encourage and allow parents, the public and private sectors, NGOs, and society to forge a partnership with the school will benefit especially concerning values education. These school community partnerships can be related to the ninth shift in the Blueprint which is â€œpartnering with parents, community and private sector at scale,â€ although, the emphasis of this shift is more on studentsâ€™ academic progress. This study was conducted for three monthsâ€™ periods, involving 87 teachers and principals (in 13 schools) in the districts of Petaling Utama, Wilayah Bangsar-Pudu and Hulu Langat and 23 regulators in 10 Regulatory Bodies. The method used was in the form of focus group discussion (FGD). The data was processed by using Atlas ti. From the interviews conducted on FPRPS, all of the respondents (i.e. teachers, principals and regulators) indicated that they are ready and willing to accept the FPRPS implementation. This is because FPRS offers huge potential benefits to them. These include improvement in studentsâ€™ skill, teacher training, academic performance, employability, financial support, infrastructures, facilities, security, maintenance, workload, and school efficiency. The study contributes to the development of a new type of school in Malaysia.Â
An Analysis of Readiness Factors of GOES (Guide Objective Eementary School) Mobile Learning in Elementary School
Authors: Hilaliyah Hilda , Novianti Desi , Anjani Dewi
Published: April 2019

This study proposes a determination of readiness factors in elementary school to accept the application of GOES mobile learning in the process of Teaching and Learning Activities. The other is to find out what factors are considered sufficient to help the implementations. This research is descriptive research whom using a questionnaire media based on Aydin & Tasci's e-learning readiness (ELR) model with a rating scale. This questionnaire consists of 25 questions and will be grouped into four factors. These factors are technological factors, innovation factors, human resources factors, and self-development factors. The type of data in this study is the quantitative type. The study locations were in Elementary School of 15, 19, 20, 21, and 22 in DKI Jakarta with only 75 questionnaires from 180 questionnaires distributed. The results of the questionnaire for Elementary School of 15 showed an ELR score of 4.04 which means the school is ready to implement e-learning, while for Elementary School of 19 showed an ELR score of 3.89, Elementary School of 20 showed an ELR score of 3.91, Elementary School of 21 showed an ELR score of 3.86 and Elementary School of 22 showed an ELR score of 3.83 which means in the ready category but needs a few improvement..Â Â
Determination of Number of New Elements for Sequence of Fuzzy Topographic Topological Mapping
Authors: Azim Mohd Yunus Azrul , Ahmad Tahir
Published: April 2019

Problem involving neuro magnetic inverse problem can be solved with Fuzzy Topographic Topological Mapping (FTTM). FTTM is a model consists of four components and connected by three algorithms. FTTM version 1 and version 2 were designed to present 3D view of an unbounded single current and bounded multicurrent sources, respectively. Several definitions related to sequence of FTTM were introduced by Suhana and the feature, namely the cube of FTTM are developed. In this paper, sequence of FTTM namely FTTMn are discussed. Consequently, some theorems are proved to describe the number of the new elements produced from the FTTMn. Besides that, the number of new elements produced from combination of sequence of FTTMn can be written as a combination from cubes of FTTMn.
A Logging Scheme for Reducing Update Workloads in Flash Storage
Authors: Lim Seong-Chae , Han Hyuck , Park Chang-Sup
Published: April 2019

By caching dirty pages in memory space of a buffering pool, a database system can reduce expensive physical I/O’s required in page updates. If any data page cached has constant updates on itself, it seems to stay long in the buffering pool without flushing-out. Although the existence of such aged dirty pages can reduce the amount of physical updates in storage, it is apt to prolong time taken for recovery procedure after system failure. To prevent such a delayed recovery time, database systems usually take an approach of flushing aged dirty pages in a background mode. Even though the approach may be beneficial in the case of HDD storage, this may not be the case for flash storage because of its high update costs. To solve this problem, we proposed a new logging scheme and a recovery algorithm running with it. Since aged dirty pages in our method are written into a dedicated log file, rather than into data area in storage, we can evade frequent updating of them. To reduce the amount of log data written for that purpose, our logging scheme uses a small size of snapshot log. Since the write of a snapshot log record can put the redo start point forwards, we can guarantee the fast recovery procedure, while reducing the number of page updates. Due to reduced update workloads, our method can improve the overall throughput of flash storage.
Analysis the Components of SNOW 3G and ZUC Ciphers in Mobile Systems
Authors: Fadhil Jasim Khalid , Fakhri Al-Shaikhli Imad
Published: April 2019

The SNOW 3G and ZUC ciphers algorithms are classified as stream ciphers, used as confidentiality algorithms in third and fourth generations of Mobile Technologies (3G-UMTS and 4G- LTE). This research, focused on analyzing and evaluating randomness properties of various components of SNOW 3G and ZUC stream ciphers. Software programs of these ciphers and NIST (SP 800-22) tests adopted to assess the randomness properties. Many experiments conducted on output sequences of SNOW 3G and ZUC ciphers components. Practical experiments results confirmed that all SNOW 3G main components passed NIST tests. However, some components of ZUC Cipher passed NIST randomness tests, while significant components failed in NIST tests. Weaknesses pinpointed in randomness properties of ZUC cipher may be exploited by statistical cryptanalysis attacks, due to certain patterns appeared in the output sequences of failed ZUC Cipher components.
Traffic aware channel assignment with node stability in wireless mesh networks
Authors: JasmineDavid D. , Jegathesan V.
Published: April 2019

In a wireless network the most challenging issue is Channel assignment. The channel assignment problem is codependent with the routing problem. We need to compute again the channel assignment as and when the traffic pattern changes. Anyways, previously followed channel assignment algorithms will assign channels from scratch. It will end up with an entirely dissimilar configuration of nodes; in turn it will disturb the action of the particular network. It takes little time to create links and to establish new channels. This time is significant in assigning links for wireless networks. This leads to channel reassignment. This algorithm considers the existing channel assignment and tries to go along with the new stream of traffic flow design in the finest possible way by changing the channel on a restricted number of radios. In order to provide node stability, we used entropy function. In this paper, we demonstrate a channel reallocation algorithm with node permanency and appraise its performance by using NS2. Experimental outcomes show that the node stability can progress the performance of network when compared with the earlier methods.Â
Multi-dimensional trust aware routing for clustered IOT framework
Authors: Mohan Ashwala , Bhanu Bhaskara Dr.
Published: April 2019

With the increased interest in the utilization of smart applications, the IoT has gained a lot of popularity in the real world scenario. Due to the integration of different heterogeneous devices in a single network, various types of security issues will arise in the IoT. To ensure more security in IoT, this paper proposes a new trust aware routing framework based on the inherent communication and data properties of devices connected in the network. A new trust metric is derived in this paper by combining two different trusts based on the communication between nodes and the information passing through them. Further to achieve a prolonged network lifetime with optimal resource conservation, a clustering based communication strategy is accomplished. Extensive simulations are carried out by varying the malicious nature of network and the performance is measured through the metrics, packet loss ratio, packet delivery ratio, delay, network lifetime and average energy consumption.Â
Predicting Breast Cancer Using Logistic Regression and Multi-Class Classifiers
Authors: Sultana Jabeen , Khader Jilani Abdul , . .
Published: April 2019

The primary identification and prediction of type of the cancer ought to develop a compulsion in cancer study, in order to assist and supervise the patients. The significance of classifying cancer patients into high or low risk clusters needs commanded many investigation teams, from the biomedical and the bioinformatics area, to learn and analyze the application of machine learning (ML) approaches. Logistic Regression method and Multi-classifiers has been proposed to predict the breast cancer. To produce deep predictions in a new environment on the breast cancer data. This paper explores the different data mining approaches using Classification which can be applied on Breast Cancer data to build deep predictions. Besides this, this study predicts the best Model yielding high performance by evaluating dataset on various classifiers. In this paper Breast cancer dataset is collected from the UCI machine learning repository has 569 instances with 31 attributes. Data set is pre-processed first and fed to various classifiers like Simple Logistic-regression method, IBK, K-star, Multi-Layer Perceptron (MLP), Random Forest, Decision table, Decision Trees (DT), PART, Multi-Class Classifiers and REP Tree. Â 10-fold cross validation is applied, training is performed so that new Models are developed and tested. The results obtained are evaluated on various parameters like Accuracy, RMSE Error, Sensitivity, Specificity, F-Measure, ROC Curve Area and Kappa statistic and time taken to build the model. Result analysis reveals that among all the classifiers Simple Logistic Regression yields the deep predictions and obtains the best model yielding high and accurate results followed by other methods IBK: Nearest Neighbor Classifier, K-Star: instance-based Classifier, MLP- Neural network. Other Methods obtained less accuracy in comparison with Logistic regression method.Â Â
Groundwater Site Prediction Using Remote Sensing, GIS and Statistical Approaches: A Case Study in the Western Desert, Iraq
Authors: M. Shnewer Fadhil , A. Hasan Alauldeen , S. AL-Zuhairy Mudhaffar
Published: April 2019

Combination of remote sensing data and geographical information system (GIS) for the investigation of groundwater has become an advance approach in the researches of groundwater. The purpose of this research is to apply statistical models such as Evidential Belief Function (EBF) and Logistic Regression (LR) for mapping groundwater potential sites at Iraqi western desert (located at Al-Ramadi and Shithatha). The potential of the groundwater areas were determined depending on the spatial relationship between groundwater wells and different conditioning factors. These factors include altitude, curvature, aspect, slope, soil, normalized difference vegetation index (NDVI), topographic wetness index, fault, rainfall, stream density, stream power index, and lithology. The algorithms were used to model all layers of groundwater conditioning factors to generate groundwater probability areas. Then, the final maps included five potential classes i.e., very high, high, moderate, low and very low susceptible zones were generated. The final outcomes were validated using Area Under the Curve (AUC) algorithm. The values of success rates were 76.5% and 71.5% for EBF an LR respectively. The prediction rates for the same methods were 73.7% and 70%, respectively.  The thematic maps attained from the present study indicated the capability of EBF and LR methods in groundwater potential mapping.
Magnetic Water Effect on Concrete Properties of Canal Lining
Authors: Hoobi Irzooki Raad , Saleem Khazaal Ammar , Imad Mohammed Zaid
Published: April 2019

The present research investigated the magnetic field effect on the properties of tap water and the magnetic water effect on some properties of the concrete used for irrigation canal lining, so, for this purpose, the absorption and seepage features of concrete will be studied. The magnetic water was obtained by passing the tap water through magnetized devices with three different intensities (3000, 5000, and 7000) Gauss for 120 minutes. Some properties of magnetized water such as surface tension, viscosity, conductivity, TDS, and pH were studied. The results show that the surface tension, viscosity and electric conductivity of treated water with three different magnetization intensities were decreased about (19-22)%, (4-5)% and (6-8)% respectively as compared with results of the tap water. Also, the results show that pH was increased about (8-10)%. The magnetized water effect on the properties of concrete like compressive strength, slump, absorption, and seepage were studied. The results show that using the magnetized water (with three different intensities) instead of the tap water increased the compressive strength of concrete between (3-17)% for age of 28 days, and increased the slump between (5-13)mm. This leads to the possibility of increasing the water-cement ratio, which is, means decreasing the cost of concrete at a specified value of compressive strength. Also, the results show that the absorption and seepage were decreased about (1-9.5) % and (2-20)% respectively.Â Â
Applying Various Types of Loading on Continuous Deep Beams Using Strut and Tie Modelling
Authors: Saleem Abdul-Razzaq Khattab , Mustafa Jalil Ali , H. Mohammed Abbas
Published: April 2019

This work aims at presenting detailed procedures companied by numerical examples for designing reinforced concrete two span continuous deep beams under various types of loading; one concentrated force, two concentrated forces and uniform load for each span. Analysis and design was conducted based on Strut and Tie modeling (STM) of ACI 318M-14 since they contain significant extents of D-regions and they show a marked truss or tied arch action. It was found that changing the loading type has a significant impact on the capacity for the same specimen that has the same dimensions, concrete and steel properties, in addition to the same amount and arrangement of steel reinforcement. In more detail, the increase in the number of concentrated forces causes an obvious increase in ultimate capacity due to the reduction in span to overall height (a/h) ratio and the increase in the value of the strut-tie angle, which causes shortening in the length of the strut. Therefore, the ultimate capacity increased by about (44-70) % when the applied load was changed from 1-concentrated force to 2-concentrated forces or to uniformly distributed load.Â
Study of the Local Scour Around L-Shape Groynes in Clear Water Conditions
Authors: I. Khassaf Saleh , A. Abbas Hiba
Published: April 2019

River training structures; such as groynes; are efficient engineered methods utilized to protect eroding river banks. But during groynes design stage; the designers faces one of the most significant issues which is the evaluation of the maximum depth of local scour around groynes. This is due to the flow area constriction in the groyne location itself; which in turn cause increasing in local velocity that consequently causes the scour. In the present study, the maximum scour depth around L-shape groyne was computed based on laboratory experiments where different number of groynes and distances between them were used as sort of countermeasures to reduce the scour around the groynes foundations. The results showed clear decreasing in scour depth at increasing number of groynes and also distance between them in the limitation of this study.Â  A new formula based on experimental data was derived to calculate the local scour depth. This formula gave R2 =0.903 which reflecting good agreement to the results.Â Â
Agile Quality Management Framework in Construction Projects (AQMFCP)
Authors: Neamah Ahmed Mohammed , Rasheed Mohammed Sawsan
Published: April 2019

In project management there has been a shift from traditional project management to the Agile Project Management (APM) style. The proposed Agile Quality Management Framework in Construction Projects will be built as a sequence of procedure that deals with a project from primary vision of project to the final delivery of project, will trace alignment and discover a contact between Agile and Traditional Project Management (TPM) concepts and find contact points among two of the more used Agile frameworks (scrum) and one of the more confirmed Project Management framework (PMBOKÂ®) processes. This will result in a recognition of comparable areas between scrum and PMBOKÂ® processes. Agile quality Management Framework is a new agile framework that covers the whole project lifecycle. The goal of the framework is to assist the project managers to adapt a more flexible approach to managing and implementing the construction project. The findings arrive that the agile project management using the Scrum methodology profits effectiveness procedures and a lower duration of process, ensuring value of quality planning and control inputs.Â Â Â
Enhancement of Subgrade Properties Using Magnesium Oxide for Pavement Construction
Authors: A. Salem Lubna , Hasan Taher Amer , Mancy Mosa Ahmed
Published: April 2019

This study aims to use Magnesium Oxide (MgO) as one of the modern additives to improve the properties of subgrade and consequently improve the pavements system structure and durability as well as reducing the cost of construction and maintenance of the constructed pavements. The study adopted California Bearing Ratio (CBR) testing method and cyclic triaxial compression test (this test is used to determine the soil resilient modulus (Mr)) to investigate the influence of MgO on the properties of a selected soil obtained from Baghdad city. Six doses (0.25%, 0.5%, 0.75%, 1%, 1.25%, and 1.5% of the dry weight of soil) of MgO were added to the selected soil to attain the objective of this study. The results exhibited that CBR values increased from 3.39% to (13.59%, 18.45%, 27.54%, 25.24%, 16.99%, and 14.56%) respectively, the Mr values increased from 35 MPa to (83, 97,150, 137, 110 and 103 MPa) respectively and the swelling ratios decreased from 3.4% to (1.51%, 0.80%, 0.61%, 0.66%, 1.18%, and 1.97%) respectively by adding MgO doses, previously, mentioned. Based on these results the optimum MgO dose is (0.75% by the dry weight of soil) as it satisfies the highest CBR and Mr values and the lowest swelling ratio.Â Â  Â
Proposal of Sandwich Composite from Bioresource and Polystyrene Waste Materials
Authors: M. ALmusawi Aqil , Lachat Remy , Chamoret Dominique , Atcholi Kokou , Soulama Sagnaba
Published: April 2019

Lately there is a renewed interest in the use of bio-resource materials for the production of ecological, sustainable and inexpensive building materials. Sandwich composite of minimum plastic matrix was manufactured, this was achieved by using the Thermoforming process in two steps. In the first step, the core layer was made when thermo pressed 100% hemp Shive particles under a high pressure. The second step was accomplished by wrapping the core layer with two thermoplastic composite layers of 60% of hemp tissue and 40% recycled Polystyrene. Interestingly, through the first step, elevated temperature treated the core surface (hydrophilic) and gave it greater adherence to the Polystyrene matrix (hydrophobic). Mechanical properties of this proposed sandwich composite of 80 % bio-resource were approximately four times of the Polystyrene resistance. Furthermore, the microscopic study was performed to investigate the bonding of the different components, especially for the binderless core layer. Each individual layer and the sandwich form were mechanically investigated, and the finite element method, via ANSYS, was used to illustrate the stresses in the sandwich structure.Â Â Â