bluuebunny/crossref_metadata_2025 huggingface dataset:
Descentralización educativa y curricular en EspaÃ±a, 1978-2018. El caso del currículo de Ciencias Sociales en Educación Primaria /Educational and curricular decentralization in Spain, 1978-2018. The case of the Social Sciences curriculum in Primary Education
Authors: Ruiz Carmen Rosa García , Medina Ramón Martínez
Published: April 2019

El artículo realiza un análisis de la evolución del sistema educativo espaÃ±ol en los últimos cuarenta aÃ±os. El objeto del mismo es entender la evolución de las políticas educativas adoptadas y su influencia en el curriculum de Ciencias Sociales. El análisis realizado nos desvela que, el ingente esfuerzo democratizador realizado en este período, ha configurado un sistema educativo descentralizado y plural que contribuye a que las políticas educativas globalizadoras tengan una aplicación desigual. El análisis curricular se ha centrado en la evolución experimentada por el área de conocimiento de Ciencias Sociales en los dos últimos cambios legislativos. Las conclusiones alcanzadas nos sirven para diseÃ±ar estrategias en la formación del futuro profesorado, para el desarrollo autónomo y democrático del curriculum social.PALABRAS CLAVE: Sistema educativo espaÃ±ol. Curriculum. Ciencias Sociales. Educación Primaria.
A Spectrum Sensing Method for TDM based Cognitive Radio Networks
Authors: Satyanarayana D , Said Alkalbani Abdullah
Published: April 2019

The usage of mobile radio devices has been increased exponentially for the last few years and the radio spectrum is being exhausted every day. Hence, there is huge demand for new methods and technologies for solving the radio spectrum scarcity. On this line, the researchers invented a new technology called Cognitive Radio Networks (CRN). There are two phases associated with the CRN. The first phase handles the spectrum hole detection and the second phase allocates the spectrum hole. In this paper, we propose a new method for spectrum hole detection in time division multiplexing (TDM) based communications systems. The simulation work shows that the proposed method is useful for solving the spectrum scarcity problems in TDM based systems.
Employees’ health related quality of life in medical education provider setting: Does academicians report higher scores?
Authors: Suzana Suddin Leny , . .
Published: April 2019

Purpose: The objective of this study was to measure level of health-related quality of life among employees working in medical education provider’s setting and its association with type of jobs as academicians or non-academicians. Approach: A cross sectional study was conducted among employees in a medical education provider’s setting. Study instrument consisted of validated Medical Outcome 36-item Short Form Survey (MOS-36) questionnaire were distributed as online survey form. All employees in the study location were recruited. Significant difference in quality of life scores were compared between job types using chi square and Mann-U Whitney statistical test. Results: A total of 196 employees participated in this study. Majority of them were female employees (59%) with Master degree level of education (20%). Academicians were found to score higher in 6 out of 8 domains measured compared to non-academicians. Significant associations were observed between these 2 groups involving 3 domains which were physical functioning (Difference in scores= 10.0, U=2589, p=0.01), emotional health (Difference in scores= 12.0, U=2496, p=0.01) and general health (Difference in scores=10.0, U=2452, p=0.004) domains. Findings from this study supported existing evidence in literature which revealed that in general, academicians did have higher level of HRQOL when compared with their counterparts. These findings would add to existing but limited knowledge on the HRQOL status of healthy working population; because in the past, majority of previous HRQOL studies were emphasized towards patients’ population or population with special conditions. Conclusion: Future initiatives or strategies by policy makers and employers for ensuring good HRQOL among this healthy working population should focus on improving general, physical and emotional health of their employees.
A Multiscale Fusion Approach for Change Detection in SAR Images
Authors: Vijayageetha R. , Kalaivani S.
Published: April 2019

Best performance and greatness in precise changes are vital factors of change detection. The proposed method is mutual task to deal about preprocessing and change detection of multitemporal SAR images. In preprocessing stage, Speckle Reducing Anisotropic Diffusion is implemented in each layer of multiscale pyramid transform. The speckle free images are interpreted by Absolute difference method and XOR operator to retrieve primary difference image. After that desired change detection is fused by laplacian pyramid coefficient. Fused difference image incorporates the advantages of absolute difference and XOR operation. Finally robotic threshold algorithm of Otsu is used to predict exact change detection. For experimental purposes two data sets are preferred from Envisat and TerraSAR-X images. Standard quality has been evaluated on the proposed method to quantitatively prove the performance.Â Â
Smart Manufacturing through TOC based Efficiency Monitoring System (TBEMS)
Authors: V Balaji , Venkumar P. , MS Sabitha
Published: April 2019

The very purpose of business is to devise profitability and enhance it in all possible avenues sustainable. In a manufacturing environment, thus, there had been a number of techniques and concepts adapted to improvise the effectiveness thereby profits continuously. Theory of Constraints (TOC) adopts a unique con-cept exploiting the constraint to deliver the customer needs. TOC is built on the premise that the weakest link determines the strength of the whole chain. With the advent of Industry 4.0, the manufacturing systems could be exploited to the next best level, leveraging the interaction of cyber physical systems and human beings over the internet. This paper deals with a novel idea of implementing TOC concept blended with Internet of Things (IoT), thereby, the speed of implementation could be augmented for early results. Evidently, the smartness of Things isÂ Â Â  derived based on the possibility of informed and proactive decisions.Â  Hence all the productivity improvement techniques and concepts could be complemented with such concurrent information and analytics, thereby the learning and decisions are much smarter and proactive. A real time industrial environment has been chosen to experiment this approach and the results are furnished paving way for future research and improvisation globally on the industrial environment and on many other competing productivity conceptsÂ Â
Bipolar Fuzzy Soft Hyperideals and Homomorphism of Gamma-Hypersemigroups
Authors: Arulmozhi K. , Chinnadurai V. , Seenivasan M.
Published: April 2019

In this paper, we introduce the concept of bipolar fuzzy soft gamma hyperideals in gamma hyper semigroups. We define bipolar fuzzy soft hyper ideals, bi-ideals and interior ideals of gamma hyper semigroups and discuss some properties.Â Â
An Effective Compact Representation Model for Big Sparse Matrix Multiplication
Authors: Somasekhar G. , Karthikeyan K.
Published: April 2019

The importance of big data is increasing day by day motivating the researchers towards new inventions. Often, a small amount of data is needed to achieve a solution or to draw a conclusion. The new big data techniques stem from the necessity to retrieve, store and process the required data out of huge data volumes. The present paper focuses on dealing with sparse matrices which is fre-quently needed in many sparse big data applications nowadays. It applies compact representation techniques of sparse data and moulds the required data in the mapreducible format. Then the mapreduce strategy is used to get the results quickly which saves execution time and improves scalability. Finally we established that the new algorithm performs well in sparse big data scenario compared to the existing techniques in big data processing.Â Â
Artificial Neural Network Algorithms based Nonlinear Data Analysis for Forecasting in the Finance Sector
Authors: Kumar Jaiswal Jitendra , Das Raja
Published: April 2019

The involvement of big populace in the quantitative trading has been increased remarkably since the wired and wireless systems have become quite ubiquitous in the fields of finance and economics. Statistical, mathematical and technical analysis in parallel with machine learning and artificial intelligence are frequently being applied to perceive prices moving pattern and forecasting. However stock price do not follow any deterministic regulatory function, factor or circumstances rather than many considerations such as economy and finance, political environments, demand and supply, buying and selling tendency, trading and investment, etc. Historical data assist remarkably for prices forecasting as an important option for mathematicians and researchers. In this paper, we have followed backpropagation and radial basis function neural network for predicting future prices by modifying these techniques as per requirements. We have also performed a comparative analysis of the two ANN techniques for existing and our modified models.Â Â
A Weighted path based Link Prediction in Social Networks using Bounded Length of Separation between Nodes
Authors: P Srilatha , R Manjula
Published: April 2019

The problem of link prediction in online social networks like facebook, myspace, Hi5 and in other domains like biological network of molecules, gene network to model disease have became very popular because of the structural connections and relationshipsÂ  among the entities. The classical methods of link prediction based on the topological structure of the graph exploit all different paths of the network which are being computationally expensive for large size of networks. In this paper, incorporatingÂ  the small world phenomenon, the proposed algorithm traverses all the paths of bounded length by considering clustering information and the connection pattern of the edges as weights on the edges in the graph. As a result, the proposed algorithm will be able to predict accurately than the existing link prediction algorithms. Our analysis and experiment on real world networks shows that our algorithm outperforms other approaches in terms of time complexity and the prediction accuracy.Â Â
Performance Analysis of Secure Group Key Mechanism in Mobile Ad Hoc Networks
Authors: C Shanmuganthan , P Raviraj
Published: April 2019

Mobile Ad-hoc network (MANET) is an effective network administration framework that encourages trading data between remote mobile devices, without the utilization of remote access points and base stations. Security has become a major concern in mobile ad hoc networks. Providing security is the very big challenge in MANET, due to lack of infrastructure, frequent host mobility, and unreliable wireless media. We are using cryptography techniques to provide secure communication in mobile ad hoc networks. To provide security using cryptography, key management is playing a vital role. The key management includes key generation, storage, distribution, revocation, and updating. The authorized group key distributions are the difï¬cult task in MANET. Various types of key management protocols are symmetric, asymmetric, group and hybrid. In a group key management, when a member joins or leaves the group, it needs to generate a new key immediately to maintain authentication or secrecy. The group key management is categorized into three types such as centralized, decentralized and distributed. In this paper, we analyze the performance of different group key management protocol scheme based on some important measure like reliability, limitations, services, storage cost, scalability, intermediate operation, and vulnerabilities. Finally, different categories of key management protocols compared and the results are tabulatedÂ Â
A New Approach to Find an Optimal Solution of a Fuzzy Linear Programming Problem by Fuzzy Dynamic Programming
Authors: Nagalakshmi T. , Uthra G.
Published: April 2019

This paper mainly focuses on a new approach to find an optimal solution of a fuzzy linear programming problem with the help of Fuzzy Dynamic Programming. Linear programming deals with the optimization of a function of variables called an objective function, subject to a set of linear inequalities called constraints. The objective function may be maximizing the profit or minimizing the cost or any other measure of effectiveness subject to constraints imposed by supply, demand, storage capacity, etc., Moreover, it is known that fuzziness prevails in all fields. Hence, a general linear programming problem with fuzzy parameters is considered where the variables are taken as Triangular Fuzzy Numbers. The solution is obtained by the method of FDP by framing fuzzy forward and fuzzy backward recursive equations. It is observed that the solutions obtained by both the equations are the same. This approach is illustrated with a numerical example. This feature of the proposed approach eliminates the imprecision and fuzziness in LPP models. The application of Fuzzy set theory in the field of dynamic Programming is called Fuzzy Dynamic Programming.Â
A Novel method to represent Access Tree structure by Context Free Grammar with and-or graph in Key Policy based Attribute based Encryption
Authors: Senthil Kumar K. , Malathi D.
Published: April 2019

Important and sensitivity data of users in a third party managed internet or cloud always pose various security as well as privacy issues. Attribute-based encryption (ABE) is a pleasant trend in the literature which addresses above problem in an efficient way, and provides data security and fine-grained access control in a decentralized manner,. Key-policy attribute-based encryption (KP-ABE) is an important type of ABE, in which user can decrypt his message with a set of attributes and private keys are embedded with a access control structure which defines which cipher textÂ  an user can be allowed to decrypt. In this paper we use a probabilistic context free grammar with an And-Or structure to represent access control structure. And-Or graph has high expressive power hence access control structure can be represented in an efficient manner.Â Â
âˆ†*-Locally Continuous Functions and âˆ†*-Locally Irresolute Maps in Topological Spaces
Authors: Meena K. , Sivakamasundari K.
Published: April 2019

The objective of the paper is to introduce a new types of continuous maps and irresolute functions called âˆ†*-locally continuous functions and âˆ†*-irresolute maps in topological spaces. The comparative study between these functions with other existing maps is discussed in this paper. Some significant results are also proved as an application of new spaces namely, âˆ†*-submaximal space and Â â€“space. Further the characteristics of these maps under composition maps are exhibited.Â Â
The Medium Domination Number of Lexico Product of Two Paths P2 and Pn
Authors: Ramachandran M. , Parvathi N.
Published: April 2019

Graph theory is a vibrant area in both applications and hypothetical. Graphs can be utilized as a demonstrating device for many problems of realistic consequence. It can be given out as mathematical models to identify a proper graph-theoretic problem. Domination is a hasty sprouting area of research in graph theory, and its various applications are distributed computing and societal networks. Duygu Vargor and Pinar Dundar [1] computed the idea of medium domination number exploited to scrutinize the pair of vertices. This paper study as explored the medium domination number of lexico product of two paths P2 and Pn.Â Â
An M/M/1 Queue with Working Vacation and Vacation Interruption Under Bernoulli Schedule
Authors: Manoharan P. , Ashok A.
Published: April 2019

This work deals with M/M/1 queue with Vacation and Vacation Interruption Under Bernoulli schedule. When there are no customers in the system, the server takes a classical vacation with probability p or a working vacation with probability 1-p, where . At the instants of service completion during the working vacation, either the server is supposed to interrupt the vacation and returns back to the non-vacation period with probability 1-q or the sever will carry on with the vacation with probability q. When the system is non empty after the end of vacation period, a new non vacation period begins. A matrix geometric approach is employed to obtain the stationary distribution for the mean queue length and the mean waiting time and their stochastic decomposition structures. Numerous graphical demonstrations are presented to show the effects of the system parameters on the performance measures.Â Â
A Monograph on Nonlinear Regression Models
Authors: Mahaboob B. , Venkateswarlu B. , Narayana C. , Ravi sankar J. , Balasiddamuni P.
Published: April 2019

This research article uses Matrix Calculus techniques to study least squares application of nonlinear regression model, sampling distributions of nonlinear least squares estimators of regression parametric vector and error variance and testing of general nonlinear hypothesis on parameters of nonlinear regression model. Arthipova Irina et.al [1], in this paper, discussed some examples of different nonlinear models and the application of OLS (Ordinary Least Squares). MA Tabati et.al (2), proposed a robust alternative technique to OLS nonlinear regression method which provide accurate parameter estimates when outliers and/or influential observations are present. Xu Zheng et.al [3] presented new parametric tests for heteroscedasticity in nonlinear and nonparametric models.Â Â
A Comparative Study of Experimental and Theoretical Ultrasonic Velocity of Binary Liquid Mixtures Using Mathematical Methods
Authors: Gayathri A. , Venugopal T. , Venkatramanan K.
Published: April 2019

A comparative study of ultrasonic velocities of binary liquid mixtures such as O-cresol+carbon tetrachloride, anisicaldehyde+methylacetate, anisicaldehyde+ethylacetate, having industrial applications are analysed at temperature 303K for different concentrations [0 to 1%]. In the present study experimental values are taken from literature and there values are compared with theoretical values obtained by various mathematical equations such as Nomotoâ€™s relation, VandealVangeal formula, Impedance relation, Raoâ€™s specific relation. Thus, the present study reveals the nature of interaction between component molecules in the mixtures and enables us to identify a suitable mathematical model for predicting the ultrasonic velocity various binary liquid mixtures.Â Â  Â
Unsteady MHD Free Convection by Passing Cobalt Nanoparticles Past an Accelerated Vertical Plate Through Porous Medium of Ethylene Glycol
Authors: G. Vijaya Kumar A. , Vankudre M. , Mirajgaonkar N. , Bagwe K.
Published: April 2019

This article studies , the effects of unsteadyÂ  magneto-hydrodynamic boundary layer when cobalt nanoparticles where passed onto a vertical plate which is given an impulse by exponential acceleration through porous medium of ethylene glycol when thermal radiation is present ,parameters of absorption of heat and radiation, chemical reaction parameter, magnetic field in transverse direction are theoretically studied. We consider cobalt nanoparticles resembles to spherical structure and range of volume of nanoparticle concentration is basically less than or equal to 4%. Considering the boundary conditions we have formulated a governing equations of nanoparticles which is in the form of partial differential equations. The precise solutions for velocity, concentration and temperature profiles are obtained by plotting the graphs of the equations formed using Laplace Method using MATLAB software. This study of heat transfer in nanoparticles finds application in tribological aspect, biological fields dealing with molecular level cell interactions, improving thermal conductivity and commercial cooling applications. The most significant outcome of this study is found in the concentration profile where time is varied. We see that there is 68% decrease in concentration when the time interval chosen is 0.2, whereas the decrease is found to 55% when the interval is increased to 0.4 keeping the distance from vertical plate constant.Â Â
Magneto-Convective Boundary-Layer Flow of a Nanofluid Past Impulsive Vertical Plate with Inclined Magnetic Field.
Authors: G. Vijaya Kumar A. , Gopal Innani Rahul , R. Pawar Yash
Published: April 2019

The following paper is a study of unsteady hydro-magnetic flow on a boundary layer over an impulsive nanofluid vertical plate in the sight of transverse magnetic field inclined at an angle. The considered fluid is a non-scattering medium and pressure gradient is described by Boussinesqâ€™s approximation and radiative heat flux in the equation of energy. Three types of nanofluids containing Al2O3 engine oil, Boron Engine oil and Graphite engine oil are considered by us. The partial differential equations are converted to dimensionless with particular dimensional quantities and then Laplace transform technique is used to get a closed form solution for velocity and temperature fields without any limits. From the obtained graphs, we studied the changes according to given values of nanofluids on the temperature, transverse velocity, skin-friction and the heat transfer rate at the surface of the wall.Â Â
MHD Flow of Carreau Liquid with Partial Slip and Newtonian Heating
Authors: Eswaramoorthi S. , Loganathan K. , Sivasankaran S. , Bhuvaneswari M. , Rajan S.
Published: April 2019

This work deliberates the MHD flow of Carreau liquid past a stretching plate with thermal radiation, viscous dissipation and Joule heating. Additionally, partial velocity slip and Newtonian heating effects are included in our study. The similarity transformations are used to convert the governing dimensional partial differential equations into dimensionless ordinary differential equations. Homotopy analysis method (HAM) is employed to find the convergent series solutions of the governed non-linear ordinary differential equations. It is found that the magnetic field parameter slowdown the liquid motion and rises the liquid temperature. In addition, heat generation parameter enhances the thermal boundary layer thickness and chemical reaction parameter suppresses the solutal boundary layer thickness.Â Â
Relative Study on the Incompressible Fluid Flow Past a Porous Plate with and Without the Radiation Effect
Authors: Kuzhali R. , Dharani R.
Published: April 2019

This paper focuses to compare the main flow velocity and temperature distribution in a three dimensional magneto hydrodynamic flow of a viscous incompressible fluid, past a vertical porous plate subjected to a periodic suction with and without the radiation effect. Governing equations are solved using perturbation technique and the results are discussed, on the results of the approximate solutions for velocity and temperature fields.Â
The Impulsive Neutral Integro-Differential Equations with Infinite Delay and Non-Instantaneous Impulses
Authors: Usha V. , Mallika Arjunan M.
Published: April 2019

In this manuscript, we work to accomplish the Krasnoselskii's fixed point theorem to analyze the existence results for an impulsive neutral integro-differential equationsÂ  with infinite delay and non-instantaneous impulses in Banach spaces. By deploying the fixed point theorem with semigroup theory, we developed the coveted outcomes.Â Â Â
Infinite Fibonacci Series Arising from Generalized Second Order - Difference Equations
Authors: Britto Antony Xavier G. , Mohan B. , G. Gerly T. , Suganya R.
Published: April 2019

In this paper, we extend finite Second order -Fibonacci formula to infinite Second order -Fibonacci formula and also obtain the sum of infinite Second order -Fibonacci multi-series formula. Suitable examples are inserted to illustrate our findings.Â
Discrete Heat Equation model of Rod by Partial Fibonacci Difference Operator with shift values
Authors: Pinelas Sandra , Britto Antony Xavier G. , John Borg S. , Jaraldpushparaj S.
Published: April 2019

Partial Fibonacci difference equation is introduced and subjected to investigation in discrete heat equation by having recourse to Fibonacci difference operator with shift values in this paper. By having Fourier law of cooling as its basis, the heat transfer in the long rod is investigated and the solutions obtained are validated by MATLAB.Â Â
Quadrilateral Fuzzy Number
Authors: T Pathinathan , S Santhoshkumar
Published: April 2019

Fuzzy numbers are used to represent uncertainty. Various types of fuzzy numbers are used in practical applications. In this paper we define Perfect Pentagonal Fuzzy Number (PPFN), Quadrilateral Fuzzy Number (QNF) and Left skewed Quadrilateral Fuzzy Number and Right skewed Quadrilateral Fuzzy Number. We study their algebraic properties with numerical examples.
On W-R_0 Spaces in Supra Topological Ordered Spaces
Authors: Bhagya Lakshmi K. , Amarendra Babu V.
Published: April 2019

In this chapter we define some new separation axioms of type Wm-R0 We also discuss the inter-relationships among these separation properties along with several counter the manuscript should contain an abstract.
Performance Analysis of LPWAN Using LoRa Technology for IoT Application
Authors: Muaz Abdul Rahman Amir , Hafizhelmi Kamaru Zaman Fadhlan , Afzal Che Abdullah Syahrul
Published: April 2019

This paper was dedicated to study the performance of an Internet of Things (IoT) application using LoRa Wide Area Network (LoRaWAN). LoRa is a Low Power Wide Area Network (LPWAN) technology developed for IoT applications specifically. Due to the facts that LoRa is a new product, there are questions about its reliability. Hence, a conclusive experiment has been made. The experiment conducted to get an insight to LoRa received signal strength (RSSI) and packet loss. The analysis also includes a measurement of the application Signal to Noise Ratio (SNR) between the transmitter and receiver. The results of the experiment show that with a higher spreading factor, LoRa end device provides more immunity against multi-path and signal fading. The proposed IoT application based on this LoRa technology is for autonomous vehicle status information transmission and intervehicle communications, specifically deployed in UiTM Autonomous Vehicle 1 (UiTM AV1).
An Agricultural Tele-Monitoring Method in Detecting Nutrient Deficiencies of Oil Palm Leaf
Authors: Asraf H. Muhammad , Md Tahir Nooritawati , Dalila K.A. Nur , Hussain Aini
Published: April 2019

Nutrient management in oil palm plantation is considered as one of the prominent issues especially for smallholder farmer. The nutrient contained in the tress has always been neglected and untreated and these may cause the trees to suffer from nutrient deficiencies. Therefore, in leveraging the oil yield at the maximum, a telemonitoring system is developed to assess and monitor the lack of nutrients for respective trees. This is done using image processing technique and artificial intelligence in detecting the nutritional deficiencies by analyzing the leaf. The categorization focused by classifying into four major types either as magnesium deficiencies, potassium deficiencies, nitrogen deficiencies or healthy that is based on the oil palm’s leaf surface. This is achieved by extracting the features namely number of red pixels, entropy and correlations. Further, two classifiers specifically support vector machine and artificial neural network is used for classification purpose along with performance measure using accuracy(ACC), Mean Square Error (MSE), Mean Absolute Error (MAE), Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV), Negative Predictive Value (NPV) based on ten-fold cross-validation. Results attained showed that the best classifier is SVM using RBF kernel (SVM-RBF) that is capable to accurately recognize the nutrient deficiencies with 100% accuracy.
A Survey of Routing Protocols in Wireless Sensor Networks
Authors: Kaur Navneet , Sahil Verma Dr. , Kavita Dr.
Published: April 2019

Wireless Sensor Networks(WSNs) comprise sensor nodes which find applications in a wide variety of fields such as medical, wildlife, security, environment, industry. A network communication is initialized and accomplished with the aid of routing protocols. A routing protocol is a set of rules which govern the routing phenomenon. WSNs protocols for the purpose of routing have been the ubiquitous option of the researchers in the recent years due to their exorbitant scope of improvement. The objective of a routing protocol is to inquest for a relevant route amidst sender and receiver to accomplish successful transmission at the destination .Dissipation of energy and lengthening the duration of the network have always been one of the major points of research gaps. As the nodes in WSNs in are battery operated, so they can only use restricted energy to proceed with the communication and transmission operation. To cope up with this, a number of researchers have come up with developments in the field of energy efficacy and optimizations in WSNs routing protocols. A reify summarization of some protocols for routing purposes has been manifested in this paper.
A Systematic Review on Semantic-based Ontology for Quranic Knowledge
Authors: Salsabila Muhmad Rusli Asma , Ridzuan Farida , Mohd Zaki Zulkifly , Norazizi Sham Mohd Sayuti M , Abdul Salam Rosalina
Published: April 2019

The Holy Quran ontology models are gaining popularity among researchers due to people’s demands in understanding this divine book. Due to this, there are many studies and research have been conducted in this area to facilitate people’s understanding of the Quran. The Quran knowledge is represented conforming to an ontology within a system framework. This also includes various concepts that are interrelated with the others. From the literature, however, the existing Quranic ontology models do not cover all concepts in the Quran, which limit them to domains such as place nouns, themes, pronouns, antonyms and Islamic knowledge in the Quran. Thus, this research aims to identify relevant research works from various electronic data sources using systematic literature review (SLR) method to provide a comprehensive review of this area. This paper presents a systematic review of the literature related to the existing ontology models, where it leads to disseminating the correct knowledge of the Quran using semantic technologies.
Mobile Botnet Classification by using Hybrid Analysis
Authors: Yusof Muhammad , Mohd Saudi Madihah , Ridzuan Farida
Published: April 2019

The popularity and adoption of Android smartphones has attracted malware authors to spread the malware to smartphone users. The malware on smartphone comes in various forms such as Trojans, viruses, worms and mobile botnet. However, mobile botnet or Android botnet are more dangerous since they pose serious threats by stealing user credential information, distributing spam and sending distributed denial of service (DDoS) attacks. Mobile botnet is defined as a collection of compromised mobile smartphones and controlled by a botmaster through a command and control (C&C) channel to serve a malicious purpose. Current research is still lacking in terms of their low detection rate due to their selected features. It is expected that a hybrid analysis could improve the detection rate. Therefore, machine learning methods and hybrid analysis which combines static and dynamic analyses were used to analyse and classify system calls, permission and API calls. The objective of this paper is to leverage machine learning techniques to classify the Android applications (apps) as botnet or benign. The experiment used malware dataset from the Drebin for the training and mobile applications from Google Play Store for testing. The results showed that Random Forest Algorithm achieved the highest accuracy rate of 97.9%. In future, more significant approach by using different feature selection such as intent, string and system component will be further explored for a better detection and accuracy rate.
A Preliminary Study on Injury Risk Factors of Perak Athletes
Authors: Ai Choo Lee , Yusof Baharudin Mohd , Fariza Zainudin Fairus , Sankaravel Mohansundar
Published: April 2019

The objective of this study is to identify the injury risk factors of Perak male and female athletes who participating in contact and non-contact sports, meanwhile to suggest preventive strategies to all the sports personnel. The research design chosen was retrospective descriptive epidemiological study. The data from this study is examined based on intrinsic risk factors (Self Induce and Attire) and extrinsic risk factors (Third Party, Environment and Equipment). The descriptive statistics was utilized to analyze the research variables. The data collected for self status in self induce factor, finding revealed that body composition (51.1%) as highest risk followed by body status to play (41.7%), self-attitude (5.8%) and age difference (1.4%). Whereby, for factor of attire, more injuries occurred due to not wearing appropriate protective gear (47.5%) compared to inappropriate footwear (34.5%) and inappropriate clothing (18.0%). The extrinsic factors of third party that lead to injuries were mostly due to opponent (89.2%), contrary to referee (10.8%) and none from audiences. There was no injury reported due to playing equipment. This study finding revealed that playing surface was reported highest (75.5%) in environment factors followed by weather (24.5%). In the nutshell, injury rates can be reduced by identifying the injury risk factors and thus the life span of high performance athletes will be prolonged.
Application of Soft Computing Techniques in Global Software Development: state-of-the-art Review
Authors: Iftikhar Asim , Musa Shahrulniza , Alam Muhammad , Mohd Suâ€™ud Mazliham , Mubashir Ali Syed
Published: April 2019

Developing Software through a globally distributed team is a modern trend, which is not only cost effective but also yields best project results mitigating risk and increasing return on investment. This is easily achieved by ensuring through put in production is maintained at all times irrespective of the clock time and geographical boundaries. This shift of phenomenon is happening across the board as more and more companies use this as a strategic tool. Modern day technology makes this all possible, without compromising quality, coding practices and project management techniques. In this paper we have researched several papers (2008 to 2018) and understood the data for soft computing to provide a strong basis for future directionsÂ Â
Determine Process Training Key Factors and Job Performance in Higher Education Sector
Authors: M. Sharif Z. , F. Obaid T. , M. Eneizan B. , S.S. Abumandil M.
Published: April 2019

The study was proposed to determine key factors in process training and job performance in higher education sector. These has been a sufficient number of studies suggesting that knowledge sharing, transfer climate and motivation to share knowledge facilitate employee training transfer and might increase job performance. There researches about the process training are still inconclusive in the Palestinian context as there is ambiguity that process-training factors such as knowledge sharing, transfer climate and motivation to share knowledge are associated with training transfer and job performance. Hence the current research aimed to examine how process training factors are related to job performance and to investigate the mediating role of training transfer in this relationship. Being quantitative in nature and having a target population of 7651 academic staffs a random sample of 300 comprises of academic staff from different Palestinian higher education institutes. The result suggested that the relationship of transfer climate and job performance is significantly mediated by training transfer. The study provides the discussion and recommendations too.
Handling Words Duplication and Memory Management for Digital Quran Based on Hexadecimal Representation and Sparse Matrix
Authors: Al-Omoush Ashraf , Md Norwawi Norita , Akmalludin Mazlan Ahmad
Published: April 2019

Al-Quran is the holy book of the Muslims and the most important scripture containing knowledge on many domains. The recent advent of smart technologies like smart phones, digital devices and tablets has connected the daily life routines under a single touch adopted by many, these new tools with an exponential growth. This paper presented a Digital Quran Model (DQM) using hexadecimal representation using Unicode Hexadecimal and UTF-8 for character encoding, which is backward compatible with ASCII code. DQM target to handle all duplicated words or verses in Al-Quran using sparse matrix with double offset indexing to handle memory optimization. Three approaches were discussed: indexing and representation of the digital Quran to optimize storage, organize verses structure using sparse matrix to handle repetition with double offset indexing to efficiently use the space. The algorithms were implemented using Visual studio and Java server and the solution quality was measured by the size of a file before and after applying DQM model. For surah Al-Baqarah, the longest chapter in the Al-Quran, the reduction of the storage size was 25.00% whereas surah Al-Fatihah was 47.89%. The proposed DQM model is able to optimize the memory space and can be extended to other non-Roman characters used for information retrieval such as Hindi, Chinese and Japanese that are categorized in unicode standards.
A Linkage between Personal Characteristics and Entrepreneurial Behavior in the Malaysian Public Sector
Authors: Liyana Mohd Kamil Nurul , Abdul Rahman Abdullah , Robert Christine
Published: April 2019

Entrepreneurial behavior within an organization is deemed relevant as an instrument to foster organizational growth, develop a strategic vision and create an energetic work environment because of its valuable impact on the performance of service. Beneficial display of entrepreneurial behavior by organizational members contributes to the venture significant of an organization. Although multiple kinds of research suggest the importance of individual entrepreneurial behavior in organizations, an empirical study on its predictors, particularly within the public sector is still infancy. Thus, the paper aims to provide an integrated review of the role of personal characteristics (in the form of entrepreneurial leadership, self-efficacy, and career adaptability) on entrepreneurial behavior among Malaysian public sector’s managers, which could subsequently exhibit the performance of the excellent services.
Seismic Analysis of Reinforced Concrete Buildings in South of Iraq based on Different Codes
Authors: A. B. Al-Jassim Samir , Abdul Kareem Raheem Haider
Published: April 2019

Buildings in south of Iraq were designed for gravity loads only. Recent studies showed that the Badra-Amarah fault at the Iraq-Iran boarder is an active fault and could suffer a major damage. Hence seismic evaluation of existing buildings is getting more importance. The objective of this paper is to assess the seismic performance of two reinforced concrete buildings with six floors each, one has a shear wall and the other has not. The concentrated plasticity with nonlinear time history is adopted for the analysis. The spectrum matching method is used to scale three time-acceleration records to the expected seismic level in the region. Â Three different codes are used for the analysis, the International building code-2012, the Uniform building code-1997 and the Iraqi seismic code-2017. Comparison of results showed that IBC-2012 gave the most conservative results in displacements, number and performance of plastic hinges and base shear. The Iraqi code gave the least values within 60% for the base shear and 18-50% for drifts. As a conclusion, the analyzed buildings are a little beyond the elastic level according to the Iraqi code, beyond the immediate occupancy level according to the UBC-1997 and near the collapse prevention level according to IBC-2012.Â Â
Influence of Pottery Clay in Cement Mortar and Concrete Mixture: A Review
Authors: M. Al Saffar Doha , A. Tayeh Bassam
Published: April 2019

Solid generation has brought about numerous natural issues, for example, CO2 discharge. An option eco-accommodating concrete, known as green cement, ought to be investigated. Squander materials from marine waste, ventures, and farming can be reused to deliver green cement. This paper displays a survey of ongoing advancement identified with the attainability of utilizing stoneware earth in solid blend. The report centers around the likelihood of using dirt block squander as fractional substitution for Portland bond in cement and the properties of crisp and solidified concrete, for example, usefulness, thickness, quality, and microstructure. This paper ought to give new data on the uses of greener and supportable stoneware mud concrete. Past investigations showed that the ideal rate for supplanting Portland concrete with earthenware dirt ran somewhere in the range of 10wt% and 30wt%.
Numerical Analysis to Assess the Vertical Drainage Within Flexible Pavement.
Authors: Al-Adili Aqeel , H. Abdul-Amir Rasha , Hassan Chfat Osamah
Published: April 2019

In this research the work methodology include the software program SEEP/W routine of the GEOSLOPE 2012; which was used to simulate and analyze the vertical drainage of the pavement cross section using steady-state and transient analysis. A laboratory model consisting of typical structure layers of flexible pavement was considered in this research with a 2% slope with the influence of three different rain intensities (30mm/min, 60mm/min and 90mm/min); in which each one has a duration differs from the other. The results indicated that the value of the pore-water pressure in the surface layer resulting from 90 mm/min rainfall intensity is 83.65% greater than the pressure generated by the 60mm/min intensity of rain and 91.076% greater than the pressure produced from 30mm/min intensity. The average of accumulation water produced by the 30mm/min rainfall intensity in the pavement structure is 44.73 % greater than the average of accumulation of water from the 60mm/min intensity and 77.85% higher than the 90mm/min intensity of rain. The water flux through the pavement cross section during the rainy period of 30 mm/min was 8.42% higher than the water flux of 60 mm/min and 49.82% of the water flux of 90 mm/min intensity of rain.
Experimental Investigation of Thermal Response of Encased Composite Beams
Authors: R. Abid Sallal , I. Mussa Faten , Tayşi Nildem
Published: April 2019

Many types of structures, or part of which, are directly under the exposure of the time-dependent variations of the temperature of air and solar radiation. Such thermal loads can vary the temperature of the different parts of the structural members causing undesired structural effects. In this research, an experimental study was conducted to investigate the influence of such thermal loads on composite beams. For this purpose, a concrete-encased-steel beam was instrumented with fifteen thermocouples and other sensors. The records were captured for a sunny winter day with moderately high daily air temperature difference of more than 18 oC and a solar radiation of more than 700 W/m2. The results showed that the hourly temperature variation and the sun movement in addition to the altitude angle of sun rays control the vertical and lateral temperature distributions of the beam. The maximum recorded difference between hourly maximum and minimum temperatures of the beam was 12.5 oC.
Hidden Rhythm in Residential Units with the Everyday Human Activity Residential Units in Aadhamiyah as A Case Study
Authors: Azzam Mahmood Nada , Mohammed Hussain Asmaa
Published: April 2019

Meaning of home has been changed through time in relating human connection to his environment. We can notice the gap from the traditional models of housing to the modern models regarding the concept of house. The research aims and trying to explore the nature of this relationship and the transformations took place in changing the meaning of home. As a result, the main research problem has been identified as "lack of knowledge regarding the relationship between daily life rhythm and residential spaces today and the effect of physical space on human rhythm and its relation with the environment ". The research goals aim to identify residential spaces raises according to daily life experience and daily rhythm to get environments that sustain space feeling and continuity of residential units with the humanity of today, the research hypotheses addressed as:Hidden rhythm of daily life reinforces human being with his environment through sustaining interactive spaces.  The research suspected two types of rhythms: the first is Isorythmic Eurhmia rhythms that sustain interactive spaces; the second is Arrhythmia rhythms that lead to repellant unlivable spaces. The research finds traditional modes of sheltering corresponded with nature’s rhythms at the same time, evoked rich patterns of social rhythms with healthy interactive spaces reaching to Isorythmic Eurhmia rhythms by  harmonious synchronization of different rhythms interact with the environment, dilvers locality, identity and social interaction. While modern houses fail to accommodate changing needs producing arrhythmia rhythms with isolation and disinterest behaviors contradicting with nature's rhythm, have spatial control that achieves universality and restrict relationship between time space and human activities inside the space.
Removal of Inorganic Contaminants Using Manufacturing Porous Media
Authors: Salman Muhsun Sadiq , Rashid Gubashi Karim , Fahim Chyad Rawaa , T. Al-Sharify Zainab
Published: April 2019

The objective of the experimental work performed in this study is to analyze the adsorption of the total organic carbon from aqueous solutions using a manufacturing porous media of Activated Ceramic (ACR) in a continuous flow system, consisting of horizontal PVC pipes of 150 mm diameter and 6 m length without membranes. The discharge of the polluted water in the system was varied at values of 10, 20, 40, 60, 80 and 100 L/hr while the contaminants were changed in concentrations of high and low with the measurement of pressure. The results show that in order to increase the removal efficiency of heavy metals, the detention time and the length of the pipe must be increased. The decrease in flow discharge results in an increase in the removal efficiency of the heavy metals while the results for the removal process of the ACR media were: Mn+2> Cr+3 > Fe+2 > Cu+2 > Zn+2.
Effect of Temperature and Sisal Fiber Content on the Properties of Plaster of Paris
Authors: M. ALmusawi Aqil , S. Hussein Thulfiqar , A. Shallal Muhaned
Published: April 2019

Recent developments in the production of ecologically friendly building composites have led to a renewed interest in the use of vegetable fibers as a reinforcement element. Traditional pure Plaster of Paris (POP) can suffer from the development of micro-cracks due to thermal expansion. Therefore, sisal fiber was studied for its potential as an ecological element to restrict and delay the development of micro-cracks in POP. Different sisal proportions of 0, 2, 4, 6, 8 and 10 wt. % of POP were used to characterize the physical and mechanical properties of POP at the ambient temperature. Then, the effects of temperatures of 25, 100, 200, 300, 400 and 500 Â were investigated. Results proved that the composite of 10% sisal fiber had the best mechanical properties. Also, when the fiber content was increased, the compositeâ€™s performance was enhanced, becoming better able to resist elevated temperatures. However, raising the temperature to 300 or above had a negative effect on the mechanical properties, which were significantly decreased due to the degradation of the sisal fiber.Â
Product Quality Control’s Organization and Defects’ Prevention for Electronic Products
Authors: V. Myskov D. , V. Kurenkov V. , I. Gorobets A. , A. NazarenkoMirea M.
Published: April 2019

The processes associated with the organization of product quality control and prevention of marriage of electronic products. Stages of control process are revealed, classification of types of control on characteristic signs is carried out.