bluuebunny/crossref_metadata_2025 huggingface dataset:
A RELIGIÃO PAGÃ NA CIDADE DE AMMAIA (SÃO SALVADOR DE ARAMENHA, MARVÃO). PRAGMATISMO POLÍTICO E MULTICULTURALISMO FUNCIONAL
Authors: Mantas Vasco Gil
Published: November 2018

A cidade de Ammaia, situada nos arredores de Marvão, conta com um razoável corpus epigráfico através do qual é possível analisar aspectos importantes do quotidiano luso-romano. No presente artigo reúne-se a informação disponível acerca das práticas religiosas urbanas durante o Alto-Império, verificando-se a coexistência, em ambientes públicos, de cultos indígenas e de cultos oficiais, com predomínio do culto de Júpiter, expoente destacado do legalismo romano na região. Como é natural, numa cidade de população maioritariamente indígena, os ofertantes dos monumentos, na maioria aras de desenho regularmente clássico, reflectem essa origem e vários graus de romanização, ou seja, de aculturação integradora que deve ser interpretada sem preconceitos anacrónicos.
Dinamika Kerja Sama Subregional di Selat Malaka: City to City Connectivity sebagai Pendukung Koridor Ekonomi
Authors: Irewati Awani
Published: November 2018

Abstrak Konektivitas adalah salah satu faktor penting dalam membangun kerja sama di tingkat bilateral, regional dan internasional. Dunia city to city connectivity  menjadi tulang punggung bagi kelangsungan koridor ekonomi pada kerja sama sub-regional seperti IMT-GT. Artikel ini menyajikan tinjauan dinamika dua koridor ekonomi, yaitu konektivitas Pulau Medan-Penang dan konektivitas Dumai-Melaka di Selat Malaka, dan sedikit ulasan tentang masa depan city to city connectivity bagi  Indonesia dan Malaysia. Metode penulisan artikel ini didasarkan pada analisis kualitatif, dengan esensi dari temuannya adalah bahwa sebagai simpul terkecil dalam konektivitas, city to city connectivity yang dimaksud  menentukan dinamika koridor ekonomi antara Indonesia dan Malaysia. Dan kondisi ini akan tetap menjadi faktor penting bagi kelangsungan kerja sama kedua negara, dan bagi kerja sama subregional  IMT-GT di masa depan. Keywords: kerja sama subregional, city to city connectivity, koridor ekonomi, Selat Malaka
Effect of glutamine and arginine on growth of Hibiscus moscheutos “in vitro”
Authors: Greenwell Zhitong Li , Ruter John M
Published: November 2018

Nitrogen is the most essential element for plant growth and development. Amino acids, serving as the main organic nitrogen source in tissue culture media, provide for shoot and root elongation. Glutamine has been widely used in tissue culture for dedifferentiation and re-differentiation processes. Experiments were conducted to assess the effects of glutamine in comparison to some commonly used plant growth regulators (PGRs) on the growth of Hibiscus moscheutos propagated via tissue culture. An initial study suggested that 10 mg L-1 glutamine in MS basal medium was optimal for shoot elongation. At this optimal rate, glutamine showed superiority over other PGRs. No difference was found between glutamine treatments and the control in a later study. When comparing glutamine with arginine, shoots cultured on media with arginine displayed slightly greater growth. With arginine containing two extra nitrogen groups in its molecular structure, the higher percentage of nitrogen may have resulted in improved growth.
THE EFFECT OF PORE DISTRIBUTION IN HISTORIC MASONRY ON THE GROUTING METHOD AND GROUTING MIX SELECTION
Authors: Witzany Jíří , Zigler Radek , Kroftová Klára , Čejka Tomáš , Kubát Jan , Holický Milan , Karas Jiří
Published: November 2018

The NAKI II DG16P02M055 research project incorporates extensive experimental and theoretical research into the effect of grouting on the physical and mechanical characteristics of brick, stone and mixed masonry. The focus of the research is on the verification of particularly the reinforcing effect of selected grouting agents based on hydraulic lime (nanolime), resins and silicates. Selected materials are used for the monitoring of the effect of grouting on changes in the porosity, pore distribution, absorption capacity as compared to ungrouted masonry, and the reinforcing effect of grouting on historic brick, sandy marlstone, sandstone, trachyte, limestone and mixed masonry with a lime binder for different types of grouting agents as compared to ungrouted masonry.
De espaldas al mar: conflictividad socioecológica en el estuario de Bahía Blanca (Buenos Aires, Argentina)
Authors: Truchet Daniela María
Published: November 2018

El presente trabajo tiene como objetivo articular conceptos, documentos y bibliografía acerca de los conflictos socio-ecológicos que viran en torno al Estuario de Bahía Blanca (Provincia de Buenos Aires) como escenario de tensiones y luchas entre distintos actores en torno a la apropiación de este territorio. Suscitaremos la construcción y el olvido de procesos identitarios que subyacen en la pesca artesanal entorno a la conflictividad por la gestión y expropiación del estuario por las políticas aplicadas en los ’90 en los puertos argentinos. Este colectivo presenta prácticas históricas sustentables con la naturaleza en detrimento de las estrategias neoliberales que mercantilizan lo natural y utilizan las costas como «vertederos » de sustancias contaminantes. Para finalizar, ofreceremos perspectivas de legislaciónque se han puesto en marcha con una noción de justicia ecológica tanto para los seres no humanos como para para los pobladores locales que habitan escenarios de vulnerabilidad socio–ecológica y cultural.
La inclusión financiera en el derecho positivo argentino
Authors: Tschieder Vanina Guadalupe
Published: November 2018

En este trabajo nos proponemos analizar el fenómeno de la inclusión financiera desdeel punto de vista jurídico, explorando cuáles son las disposiciones existentes en nuestro derecho tendientes a promover y favorecer a la misma. También examinaremos cómo la transformación digital afecta a los servicios bancarios tradicionales a partir del uso de la tecnología y cómo las fintech contribuyen a potenciar el acceso al financiamiento. Del mismo modo trataremos de analizar el rol que juegan otras instituciones en este proceso y haremos referencia, en la medida de que sea relevante, a la normativa del erecho comparado y al aporte de organismos internacionales en torno a este tema.
Caso de aplicación de análisis de estados contables: indicadores económicos y financieros para la toma decisiones en pymes
Authors: Cristóbal Julia Edith
Published: November 2018

La información contenida en los estados contables, en principio de uso externo, puede transformarse en el input de una serie de herramientas que se desarrollarán en el presente trabajo. Se espera que la información contable resulte más útil para la toma de decisiones de los usuarios internos. A partir del análisis de estados contables se propone desarrollar una serie de ratios e información que permita a la organización analizar las causas y los efectos de los datos contenidos en los estados contables, y comparar esta información con la obtenida en años anteriores, con la de otras organizaciones e incluso con datos del sector económico donde se desempeña. Se desarrolla un estudio de caso y se analizan los estados contables de una empresa tomada como modelo, aplicando las herramientas del análisis horizontal y vertical para el análisis de la estructura patrimonial; y el análisis a través de ratios para la estructura económica y financiera. Finalmente, se propone un modelo de informe que sirva como herramienta para el profesional contable que le permita presentar a sus clientes un resumen de los datos más relevantes y exponer las conclusiones del análisis a modo de diagnóstico sobre el ejercicio cerrado, como de pronóstico para ejercicios futuros.
La Bioeconomía como posible estrategia comparativa. Alianza del Pacífico: caso Colombia
Authors: Gómez Rodríguez Dustin Tahisin , Rincón Moreno Héctor Mauricio
Published: November 2018

El objetivo del presente artículo reflexivo es analizar las posibles ventajas comparativas que posee el Estado colombiano desde el enfoque de la Bioeconomía. La metodología es de corte cualitativo y el método es de revisión documental por medio de matrices. La principal conclusión es que la Bioeconomía, tomada desde las concepciones de la Nueva economía, es una propuesta desde el contexto colombiano viable para ser tenida en cuenta como ventaja comparativa frente a los miembros de la Alianza del Pacífico. En efecto, el territorio colombiano posee una riqueza biológica que puede ser utilizada para enriquecer el portafolio económico del país en un mundo que tiende a ser globalizado.
Impacto de la motivación en el rendimiento laboral. Caso de la compañía Cinépolis Sahuayo, México
Authors: Vargas Hernández José Guadalupe , Muratalla–Bautista Gabriela
Published: November 2018

El objetivo del presente artículo es analizar el impacto que tiene la motivación en el rendimiento laboral de Cinépolis Plaza Feria Sahuayo, a partir de la revisión de la literatura teórica y empírica. Metodológicamente se realizó un estudio descriptivo y explicativo que describe los conceptos relacionados con los elementos antes mencionados y se explica la relación de las variables sujetas de estudio la independiente es la motivación y la dependiente el rendimiento laboral. La investigación es mixta, ya que se conforma de una parte cualitativa y otra de carácter cuantitativo, de tipo correlacional. Los principales resultados que se obtienen son las correlaciones de Pearson de 0.698 entre las variables, en los indicadores capacitación con expectativas 0.892 y providencia de la recompensa con incentivos 0.825. Se concluye que el impacto que tiene la motivación en el rendimiento laboral es significativo por presentar una correlación positiva considerable. Además se determinan los indicadores que tienen mayor impacto, la capacitación con las expectativas y la providencia de la recompensa con los incentivos.
Financiamiento destinado a los emprendedores argentinos
Authors: García De Brahi Leandro Hernán
Published: November 2018

Dada la importancia que tiene el emprendedurismo no solo para el emprendedor sino también para el desarrollo de un país como Argentina, se consideró relevante conocer cuál era su situación en Argentina y de qué forma desde las instituciones públicas y privadas se promovía su crecimiento y fortalecimiento, a través del otorgamiento de instrumentos financieros. Para ello se realizó un trabajo de investigación, en donde en una primera etapa se indagó sobre las generalidades de los emprendedores y del ecosistema emprendedor, tecnología del financiamiento, las fuentes de financiamiento, etapas al momento de percibir el financiamiento. Luego, se identificó la actividad emprendedora en Argentina, y su posición en el ranking latinoamericano en virtud del Índice de Condiciones Sistémicas para el Emprendimiento Dinámico que elabora el Programa de Desarrollo Emprendedor que se enmarca en el Instituto de Industria de la Universidad Nacional de General Sarmiento (UNGS). Adicionalmente, se hizo un relevamiento de la estadística disponible de instrumentos financieros aprobados destinados a emprendedores. Dentro de estos se identificaron 198 instrumentos financieros ofrecidos por los organismos públicos en los distintos estamentos de la región Santa Fe, Córdoba y Buenos Aires, así como organizaciones privadas nacionales e internacionales. El 53,54 % de los instrumentos corresponden a premios, el 17,17 % son Aportes No Reembolsables y el 18,69 % son Créditos. A su vez, se efectuaron entrevistas a informantes clave (consultores, evaluadores, gerentes de entidades financieras) con la finalidad de detectar los inconvenientes que afrontan los emprendedores para acceder a fondos que los ayudan a desarrollar su emprendimiento.
Modeling & transient analysis of DFIG based wind farm
Authors: Nagendra Kumar S. , Suman Poul Reddy T. , Nagaraju A. , Narsi Reddy V. , Veerendranath K. , S. Hareesh S. , Chaithanya S. , Krishnarjuna Rao S.
Published: November 2018

This manuscript presents the modeling and simulation studies of grid connected Doubly Fed Induction Generator (DFIG) based wind farm. In current scenario, DFIG is used for the large scale wind energy systems. DFIG is high sensitive for the faults on the system due to termi-nals of stator directly fed to the grid. In this work the dynamic response of the proposed system under varying wind speeds and three transi-ent faults at different locations for different durations are studied.
The economic benefit analysis to the consumer and utility due to PV generation connected to the radial distribution system
Authors: Lincy G , M. Ponnavaikko Dr , Lenin Anselm W. A. Dr
Published: November 2018

During the recent past, the interest towards adoption of Distributed Generation (DG) has increased dramatically among the electric power system utilities. It has been well established that installation of PV Generation at the load points in a distribution system is excellent advantages for both consumers and the utilities. The question arises whether the maximum beneficiary is the Utility or the consumer and who has to bear the cost. This research analyses the economics of the DG with PV Systems, taking a typical 400V distribution system. A detailed procedure adopted for performing the economic analysis is presented in this paper. Benefits considered includes Saving in the energy losses, Energy substitute by the PV system, Capacity release in the Feeders and the Transformer. The PV system is installed at the selected consumer load points, based on the size and location of the loads. Discounted Cash Flow technique is used to assess the economics of the system, by computing the Internal Rate of Return. The paper presents the advantages of using PV Generating systems in the Power Distribution System, quantifying economic benefits both for the Utilities and for the Customers with supporting data.
Generation of an Indoor 2D Map and Track Encryption Based on Mobile Crowdsourcing
Authors: Cao Tianyang
Published: November 2018

The widespread application of mobile crowdsourcing modes provides new ideas for generating indoor maps. By collecting and analyzing the trajectory datas of users properly, we can obtain the location information of indoor paths.  Unfortunately, currently studies usually rely heavily on a satellite location, which restricts their indoor application. In this paper, a simple and  practical method of generating indoor maps on Andriod platform is presented, and this method  is able to correct deviation duly. User's datas collected by several bulit-in sensors are preprocessed utilizing Gaussian filter, after which we adopt feature recognition to confirming one's  walking track based on multiple experiment datas. In order to integrate tracks generated by different persons, we then propose a new data structure based on a transition probability that can be updated online to store track information. In addition, we minimize possible deviations by testing the signal power launched by four Bluetooth base stations.  Discrete tracks are finally integrated into a complete indoor map using a graph_based model. We then propose a novel encryption scheme exploiting chaos in a nonlinear digital filter, where secure key generation methods are discussed in detail. The secure key scheme includes: 1)channel measurement 2)a decorrelation transform 3)multibit adaptive quantization and encoding. Experiments are conducted in   rectangle fields of 8m*8m, 44m*44m, respectively, and the results show our method can attain a maximum error of 5.94%.
Radiation and Thermal Decomposition Analysis in a Reactive Slab of Variable Thermal Conductivity.
Authors: Lebelo RS , Moloi KS , Chitumwa CC , Adesanya SO
Published: November 2018

In this article, the impact of radiative heat loss in a stockpile of combustible material is investigated. The heat loss is attributed to the exothermic chemical reaction when the carbon containing material of the stockpile reacts automatically with the oxygen trapped within the stockpile. The study is modelled in a rectangular slab of thermal conductivity that varies with the temperature and loses heat to the surrounding environment by radiation. The differential equations governing the problem are solved numerically using the Runge-Kutta-Fehlberg (RKF) method coupled with the Shooting technique. The effect of each embedded kinetic parameter on the temperature, oxygen (O2) depletion and carbon dioxide (CO2) emission, is analyzed and the results are graphically expressed and discussed accordingly. The results show that the kinetic parameters which enhance the exothermic chemical reaction correspondingly increase the temperature and the CO2 emission during the combustion process, and in turn, these parameters also increase the depletion of O2.
Neurobiology of Navigation and Learning: Fourth Dimension Cartography
Authors: Sepúlveda-Sariego Agustín , Meza-Fernández Sandra
Published: November 2018

The present article sheds light on new representations of learning. The proposition deals with a representation of learning in four dimensions, in which the highlight is on the navigation across space as a new perspective on the phenomenon of learning. This perspective allows for some aspects of the phenomenon and attempts to show experimental proposals on the matter. Three of the dimensions are based on learning theories: Vigotsky’s Meaningful learning; Piaget’s self-directed learning through discovery; and Vigotsky’s Social Learning. A fourth dimension would be the physical space itself. Animals navigate in different ways through the world. Navigation: the process of being in this world is the basis of learning.
Msthematical Model of Operational Competition
Authors: P. Kolpak Eugeny , V. Gorynya Ekaterina
Published: November 2018

They developed a mathematical model of operational competition on a linear range. The model is represented by an initial-boundary problem for the system of evolution equations. It is shown that the competition on the recovered trophic resource does not lead to the disappearance of one of the populations. The estimation of small population propagation rates in the range is given. They obtained the conditions for the existence of an autowave solution on an infinite straight line. The solution of nonlinear differential equations is based on numerical method use.
The Development of a Process Control System for the Production of Partially Reducing Nickel Oxide in a Tubular Rotary Kiln
Authors: V. Sharikov Yu. , Liu C
Published: November 2018

This article describes the results of a control system development by the process of nickel oxide reducing to obtain partially reducing nickel oxide (PRNO) in a tubular rotary kiln (TRK). The purpose of the recovery in TRK is to obtain an enlarged, maximally recovered product before the anode electric fusion, since such an electrically conductive product, as partially reduced nickel oxide (PRNO), allows to reduce the electricity and reducing agent consumption during the process of electric smelting, which is economically advantageous. TRK is an object with distributed parameters. The reducing product quality is determined by the temperature profile along a kiln length. The development of a temperature profile control system is required, ensuring the receipt of a specified quality product for the objects with distributed parameters. The cell model was used in the work, corresponding to the 5 technological zones of the process, the dynamic model of the object was constructed and the dynamic behavior of the object was studied with step perturbations and the use of 3 different control systems. The analysis of the obtained data made it possible to establish that the best control results are obtained by a fuzzy regulator use.
Sociology in Morality and Its Priority on Sociology of Morality
Authors: Sadeghi Masoud , . .
Published: November 2018

In this paper, the subject of sociology of morality and its main issues are examined. Topics such as relation between class and morality، power and morality، economy and morality، ideal ethics and real ethics and relation between ethics and traditional society and modern Society. In the next step meaning of sociology of morality separated from sociology of ethical knowledge and finally meaning of “sociology in morality ”, as most innovative part of paper for the first time defined, and justified.
Investigating the Relationship between the Use of ICT and Human Resource Empowerment in Iran Municipality (case study: Mazandaran Province)
Authors: Ahmadi Masoud , Sharifi Asadi Malafe Neda , Baei Fahime
Published: November 2018

This Research was a push to look into the association amongst information and correspondence innovation (ICT) and its parts with authorisation of Mazandaran region specialists as administrative organizations. "Research Philosophy" amid this examination was distinct and correspondence. to fulfill the point of this examination, 152 laborers were hand-picked from among a total scope of 250 populace upheld agent inspecting abuse Krejcie and Morgan testing table. "The data assortmenttools" comprised of 2 standard surveys, and in addition ICT shapes (%96 legitimacy) and authorisation poll eighty sevenvalidity). "The data examination technique" was inferential measurements leading by SPSS and LISREL code. "The outcomes" demonstrated that there was a major connection amongst ICT and authorisation. Additionally, that there was a major connection between ICT parts include: "robotization", "preparing", "capacity", "advising" and "correspondence", and authorisation. On the contrary hand, the connection amongst ICT and authorisation by statistic qualities partition demonstrated that there's a major connected math distinctionwithin the level of relationship amongst's ICT and authorisation in a few instructional groups, anyway there's not a major connected math refinement inside the level of connection between's 2 groups of sexual orientation and 3 groups of work skill. At long last, the association amongst ICT and information administration demonstrate upheld work Files of, appropriately assessed.
Solving the Problem of Serum Utilization in Kazaкhstan
Authors: Ospanov Assan , Zhakupova Gulmira , Toxanbayeva Botagoz
Published: November 2018

The article presents the results of experimental studies of serum beverage enriched with pine bark extract as a source of polyphenols. The effect of pine bark extract is investigated, its use in the production of serum beverage is justified, and the increase of essential amino acids, namely phenylalanine and tyrosine, is established. Enrichment with specially selected herbal components of the serum will allow the creation of new technologies of products with a given therapeutic and preventive direction.
Comparison of Security Testing Approaches for Detection of SQL Injection Vulnerabilities
Authors: Ateeq Mohammed Draib Najla’a , Bakar Md Sultan Abu , Azim B Abd Ghani Abdul , Zulzalil Hazura
Published: November 2018

Structured query language injection vulnerability (SQLIV) is one of the most prevalent and serious web application vulnerabilities that can be exploited by SQL injection attack (SQLIA) to gain unauthorized access to restricted data, bypass authentication mechanism, and execute unauthorized data manipulation language. Hence, testing web applications for detecting such vulnerabilities is very imperative. Recently, several security testing approaches have been proposed to detect SQL injection vulnerabilities. However, there is no up-to-date comparative study of these approaches that could be used to help security practitioners and researchers in selecting an appropriate approach for their needs.In this paper, six criteria's are identified to compare and analyze security testing approaches; vulnerability covered, testing approach, tool automation, false positive mitigation, vulnerability fixing, and test case/data generation. Using these criteria, a comparison was carried out to contrast the most prominent security testing approaches available in the literature. These criteria will aid both practitioners and researchers to select appropriate approaches according to their needs. Additionally, it will provide researchers with guidance that could help them make a preliminary decision prior to their proposal of new security testing approaches.
Maximizing Energy Efficiency in Downlink Massive MIMO Systems by Full-complexity Reduced Zero-forcing Beamforming
Authors: Salh Adeeb , Audah Lukman , S. M. Shah Nor. , A. Hamzah Shipun.
Published: November 2018

Energy efficiency (EE) is one of the key design goals for fifth-generation (5G) cellular networks due to the intermittent properties of renewable energy sources and limited battery capacity. In this paper, we analyze the EE of downlink (DL) massive multi-user multiple-input multiple-output (MIMO) system based on circuit power consumption for the transmit antenna configuration. We designed full complexity reduced zero-forcing (ZF) beamforming to cancel out interbeam interference when the number of antennas   and minimized the power consumption model, when formulating the power allocation optimization problem with the Lagrange duality method, in order to maximize EE. Simulation results revealed that the EE in the base station (BS) could be improved when the number of radio frequency (RF) chains was proportional to the optimal transmit power allocation and when the consumption circuit power was comparable to the transmit power.
New Soliton Solutions of the (2+1)-Dimensional System Davey-Stewartson Equation
Authors: Ja'afar Mohamad Jawad Anwar J , J. Abu-Al Shaeer Mahmood , D. Petkovi_c Marko
Published: November 2018

In this paper, we derive several soliton solutions of the generalized Davey-Stewartson equation with the complex coefficients. First we use the travelling wave transformation to reduce the initial system to ODE. The equivalent ODE is then solved, giving several classes of solutions, depending on the values of the parameters. Finally, the Extended Tanh-Coth method and Modified simple equation method.
Band Selection Using SIFT in Hyperspectral Images
Authors: R.Vimala Devi M. , Kalaivani S.
Published: November 2018

In this paper an approach for dimension reduction of the hyperspectral image using scale invariant feature transform (SIFT) is introduced. Due to high dimensionality of hyperspectral cubes, it is a very difficult task to select few informative bands from original hyperspectral remote sensing images. Band with maximum amount of non-redundant information are chosen using the dissimilarity matrix obtained from scale invariant feature transformed image. The performance of the dimension reduction technique is analyzed by implementing a post-processing technique named spectral un-mixing. Spectral unmixing is the process of extracting end members and generating their abundance maps. End members are extracted with these selected informative bands using N-FINDR and abundance maps are generated using fully constrained least square estimation. The simulation software used for implementation of algorithms is MATLAB. Qualitatively and quantitatively the proposed feature based approach has been analyzed with application to spectral unmixing by comparing with two well-known existing dimension reduction techniques namely principal Component Analysis and Linear Discriminant Analysis. Hyperspectral images finds application in astronomy, agriculture, geosciences and surveillance.
Analysis of Non Constant Viscosity on Avertical Oscillating Cylinder with Mhd Effects
Authors: Palani G. , Sarojini A. , Dhanasekaran R.
Published: November 2018

A numerical analysis was carried out on convective flow past a vertical oscillating cylinder with non-constant viscosity under the influence of magnetic field effects. The governing equations related to the flow problem are unsteady, nonlinear coupled partial differential equations. The same was transformed into a dimensionless form and the final form of equations was solved numerically. The approximate values of velocity, temperature, skin friction and Nusselt number are obtained. The viscosity considered as a function of temperature.
Energy efficient spectrum sensing for cognitive radio network using artificial bee colony algorithm
Authors: Eappen Geoffrey , T. Shankar Dr
Published: November 2018

In this paper Artificial Bee Colony (ABC) algorithm based optimization of energy efficiency for spectrum sensing in a Cognitive Radio Network (CRN) is implemented. ABC algorithm which is an efficient optimization technique is used for optimizing energy efficiency func-tion derived for cognitive users, where energy efficiency function is derived as the dependency on spectrum sensing time and the transmis-sion power. Energy efficiency optimized by ABC is compared with Particle Swarm Optimization (PSO) based technique. Simulation results shows that with ABC it is able to achieve more energy efficient spectrum sensing as compared to PSO optimized with a margin of 33% efficiency over PSO.
Family support indices for substance abuser in Terengganu
Authors: A. Fazillah , H. Juahir , E. Toriman , N. Mohamad , M. K. A. Kamarudin , A. Fairuz , S. M. H. S Omar , G Adiana , M. Mohamad
Published: November 2018

Substance abuse has been a longstanding global issue. Efforts are continuing to find solutions. Family support is important and occurs in different forms. This study was designed to identify factors influencing family support and to relate them to the types of support given to help develop family support indices. Factors deemed to influence family support were identified and subjected to factor analysis to deter-mine the association. A family support index was developed based on the four types of family support investigated. The scale categories ranging from very good to very poor as the indicator for the level of family support in the study area. Family support indices for the four types of support were high. The form of family support with the highest index score was ‘instrumental support’. We concluded that sub-stance abusers received good family support with the highest score recorded for instrumental support. The indices developed can help au-thorities obtain a comprehensive picture of support given and design programs to use optimally family support in the management of sub-stance abuse.
Accurate Objects Detection Using Stereo Vision Sensor for Machine Vision Applications
Authors: Hamzah RA. , Wei MGY. , Nik Anwar NS. , Kadmin AF. , Abd Gani SF. , Hamid MS
Published: November 2018

This paper presents a new algorithm for object detection using a stereo camera system, which is applicable for machine vision applications. The propose algorithm has four stages which the first stage is matching cost computation. This step acquires the preliminary result using a pixel based differences method. Then, the second stage known as aggregation step uses a guided filter with fixed window support size. This filter is efficiently reduce the noise and increase the edge properties. After that, the optimization stage uses winner-takes-all (WTA) approach which selects the smallest matching differences value and normalized it to the disparity level. The last stage in the framework uses a bilateral filter, which is effectively further reduce the remaining noise on the disparity map. This map is two-dimensional mapping of the final result which contains information of object detection and locations. Based on the standard benchmarking stereo dataset, the proposed work produces good results and performs much better compared with some recently published methods.Â Â
A Review of Simulation Urban Growth Model
Authors: Nugroho Feri , Ismael Al-Sanjary Omar , . .
Published: November 2018

Urban development has become a problem in many cities, especially in developing countries. The availability of areas for development is needed to deal with rapid population growth and urbanization. The purpose of this study was to identify urban growth models. Due to urban growth planning, the city will be more manageable and organized. From the conclusions of urban modeling identification can provide an idea of what model is appropriate for use in urban growth studies. The results of this urban growth model identification could be a reference in urban growth modeling in better urban planning.Â Â
A Practical Plant Diagnosis System for Field Leaf Images and Feature Visualization
Authors: E. Fujita E. , Uga H. , Kagiwada S. , Iyatomi H.
Published: November 2018

An accurate, fast and low-cost automated plant diagnosis system has been called for. While several studies utilizing machine learning techniques have been conducted, significant issues remain in most cases where the dataset is not composed of field images and often includes a substantial number of inappropriate labels. In this paper, we propose a practical automated plant diagnosis system. We first build a highly reliable dataset by cultivating plants in a strictly controlled setting.  We then develop a robust classifier capable of analyzing a wide variety of field images. We use a total of 9,000 original cucumber field leaf images to identify seven typical viral diseases, Downy mildew and healthy plants including initial symptoms. We also visualize the key regions of diagnostic evidence. Our system attains 93.6% average accuracy, and we confirm that our system captures important features for the diagnosis of Downy mildew.
MOOC Platforms: a Review and Comparison
Authors: Gusti Salamah Ummy , Alayham Abbas Helmi Rabab
Published: November 2018

For development courses in the Massive Open Online Courses (MOOC) requires the support of good technological infrastructure. Some MOOC platforms are part of the institution but some platforms are built by individual teachers or instructors. The objective of this study to reviews about characteristics in MOOC platforms and evaluation of comparison based on previous studies with specific in MOOC platforms. The databases in MOOC studies found in four databases namely Google Scholar, IEEExplore, Elsevier Science Direct, and Emerald. After the databases filtered, 20 papers in MOOC studies that selected and 4 databases related in development Open Learning and Udemy platforms. This study aims to bring the knowledge for the developer or research groups about MOOC platforms and as a consideration to choose which one suitable platforms to create, manage, and deliver courses.
Effectiveness of Artificial Neural Networks in Solving Financial Time Series
Authors: Abdul Hameed Ashour Marwan , Jamal Arshad , Alayham Abbas Helmi Rabab
Published: November 2018

This research aims to study and analyze which type of Artificial Neural Network (ANN) is more efficient and suitable in handling non-homogenous variance for financial series. Apart from addressing the behavior and efficiency of ANN, the paper also aims to present an advanced methodology for ANN, as a replacement of GARCH and ARCH models in crisis management decision makers. The application part was applied to the Egyptian exchange market, to study the local currency exchange rate volatility (1/1/2009-4/6/2013) in order to develop a model describing those changes in the exchange rate. The research concludes that the best network type to represent such financial series is the Back Propagation. Moreover, comparing the result with general regression and probabilistic networks rendered the later two inefficient at handling such series.Â
Fully Convolutional Neural Network for Malaysian Road Lane Detection
Authors: J. Zakaria N. , Zamzuri H. , H. Ariff M. , I. Shapiai M. , A. Saruchi S. , Hassan N.
Published: November 2018

Recently, a deep learning, Fully Convolutional Neural Network (FCN) has been widely studied because it can demonstrate promising results in the application of detection of objects in an image or video. Hence, the FCN approach has been proposed as one of the solution methods in mitigating the issues pertinent to Malaysiaâ€™s road lane detection. Previously, FCN model for lane detection has not been tested in Malaysian road conditions. Therefore, this study investigates the further performance of this model in the Malaysia. The network model is trained and validated using the datasets obtained from Machine Learning NanoDegree. In addition, the real-time data collection has been conducted to collect the data sets for the testing at the highway and urban areas in Malaysia. Then, the collected data is used to test the performance of the FCN network in detecting the lane markings on Malaysia road. The results demonstrated that the FCN method is achieving 99% of the training and validation accuracy.Â Â
Blockchain in Voting System Application
Authors: Sakinah Burhanuddin Nur , Hafizhelmi Kamaru Zaman Fadhlan , Ihsan Mohd Yassin Ahmad , Md Tahir Nooritawati
Published: November 2018

Two of the most familiar method of voting is through voting polls and online voting. The main problem with conventional method is the insecurity of the votes to be untemper. Another problem of voting methods is the existence of fraud in voting system. This paper is to propose a method in overcoming these flaws and problems by using the Blockchain technology. Blockchain technology is a secured database and has very high security. The technical concept of the Blockchain technology has many advantages and benefits that could be applied to many technical sectors and have the possibility in changing the world. The concept for this project is to develop a cryptocurrency implementation in the voting system. From there, the transaction votes are kept in the blockchain could be illustrated by examining the block hashes. The outcome of the project shows a transaction of coins from one voterâ€™s wallet into two candidatesâ€™ wallet. The transactions were approved through a process of mining and the transactions of coins were a success. The data of the transactions were kept in the blockchain where unique blockhash, which acted as the blockâ€™s fingerprint were generated. From there, the integrity of the blockchain technology is illustrated.Â Â
3D Indoor Mapping System Using 2D LiDAR Sensor for Drones
Authors: R. Shahrin M. , H. Hashim F. , M.D.W. Zaki W. , Hussain A. , T. Raj T.
Published: November 2018

Most 3D scanners are heavy, bulky and costly. These are the major factors that make them irrelevant to be attached to a drone for autonomous navigation. With modern technologies, it is possible to design a simple 3D scanner for autonomous navigation. The objective of this study is to design a cost effective 3D indoor mapping system using a 2D light detection and ranging (LiDAR) sensor for a drone. This simple 3D scanner is realised using a LiDAR sensor together with two servo motors to create the azimuth and elevation axes. An Arduino Uno is used as the interface between the scanner and computer for the real-time communication via serial port. In addition, an open source Point-Cloud Tool software is used to test and view the 3D scanner data. To study the accuracy and efficiency of the system, the LiDAR sensor data from the scanner is obtained in real-time in point-cloud form. The experimental results proved that the proposed system can perform the 2D and 3D scans with tolerable performance.Â Â
Classification of Oil Palm Fresh Fruit Bunches (FFB) Using Raman Spectroscopy
Authors: A.M. Dan S. , H. Hashim F. , Raj T. , B. Huddin A. , Hussain A.
Published: November 2018

The current practice in determining oil palm fresh fruit bunches (FFB) ripeness is by its colour which could be inaccurate. This study investigates the classification of oil palm FFB ripeness using Raman spectroscopy. A feature extraction model is developed based on the different organic compositions that contribute to the ripeness classification. Samples are collected according to the Malaysian Palm Oil Board (MPOB) standards which are unripe, underripe, ripe, overripe, and rotten. Different characteristics of the Raman shift were detected which represent the material composition for each sample. The Raman intensity of the oil palm fruit increases from unripe to ripe before decreasing to rotten due to the carotenoid content in the fruit. In conclusion, Raman spectroscopy is a suitable technique to observe the changes in the composition of oil palm fruit classified by its ripeness.Â Â
Denoising of Ecg Signals Using Fir & Iir Filter: a Performance Analysis
Authors: Chhavi Saxena Dr. , Avinash Sharma Dr. , Rahul Srivastav Dr. , Hemant Kumar Gupta Dr.
Published: November 2018

Electrocardiogram (ECG) signal is the electrical recording of coronary heart activity. It is a common routine and vital cardiac diagnostic tool in which in electric signals are measured and recorded to recognize the practical status of heart, but ECG signal can be distorted with noise as, numerous artifacts corrupt the unique ECG signal and decreases it quality. Consequently, there may be a need to eliminate such artifacts from the authentic signal and enhance its quality for better interpretation. ECG signals are very low frequency signals of approximately 0.5Hz-100Hz and digital filters are used as efficient approach for noise removal of such low frequency signals. Noise may be any interference because of movement artifacts or due to power device that are present wherein ECG has been taken. Consequently, ECG signal processing has emerged as a common and effective tool for research and clinical practices. This paper gives the comparative evaluation of FIR and IIR filters and their performances from the ECG signal for proper understanding and display of the ECG signal.
Optimal Path Planning using Hybrid Bat Algorithm and Cuckoo Search
Authors: Sood Monica , Sahil Verma Dr. , Kumar Panchal Vinod , Kavita Dr.
Published: November 2018

Path planning is key research topic in the field of robotics research, transportation, bioinformatics, virtual prototype designing, gaming, computer aided designs, and virtual reality estimation. In optimal path planning, it is important to determine the collision free optimal and shortest path. There may be various aspects to determine the optimal path based on workspace environment and obstacle types. In this research work, optimal path is determined based on the workspace environment having static obstacles and unknown environment area. A hybrid approach of meta-heuristic algorithm of Bat Algorithm (BA) and Cuckoo Search (CS) is used to determine the optimal path from defined source to destination. For experimentation, case study area of Alwar region, Rajasthan is considered which consist of urban and vegetation area. The reason for the selection of BA and CS for the path planning is the wide application and success of implementation of these concepts in the field of robotics and path planning. The consideration of individual BA for path planning can lead to problem of trapping between local optima. This obligates us to hybridize the concept of BA with some other efficient problem solving concept like CS. The hybridized concept of BA and CS is initially tested with standard benchmarks functions, after that considered for the application of path planning. Results of hybrid path planning concept are compared with individual CS and BA concepts in terms of simulation time and minimum number of iteration required to achieve the optimal path from defined source to destination. The evaluated results comparison of hybrid approach with individual concepts indicates the dominance of proposed hybrid concept in terms of standard benchmarks functions and other parameters as well.
Measuring Throughput for Fault Tolerant Based ACO Algorithm under Cloud Computing: A Comparison Study
Authors: Singh Kushwah Virendra , K. Goyal Sandip , Sharma Avinash
Published: November 2018

Any technical problem can be main cause for any fault. Due to any fault, system would be suffered the work and enhance the system cost in term of money and others. There are many algorithms for fault tolerant in cloud computing and make comparison with fault tolerant based ant colony optimization and which is used to minimize fault during load balancing. In this paper, throughput is measured by such kind of fault tolerant based algorithms and determines that which algorithm is better. It has been compared with ACO. After such comparison, it is clearly determined that ACO has good functionalities to have better throughput. Comparative study is shown by the graphically and finally described that ACO is better than others in context of throughput calculation are. ACO is itself a meta-heuristic algorithm and better optimization technique.
A Comparative Analysis of Trust Based Applications in Wireless Sensor Networks
Authors: Gupta Radhika , Sahil Verma Dr. , Kavita Dr. , Ial Yadav Anup
Published: November 2018

The wireless sensor network is a type of ad hoc network which is vulnerable to security attacks, specifically insider attacks. In spite of the fact that confidentiality, integrity and authentication helps in forestalling the particular sort of attacks, but they come at an expense. A traditional and evergreen concept of the trust evaluation and management, among the nodes of a network, for communication is a good and effective security measure. Overseeing trust in a distributed wireless sensor network is a challenging task when coordinated effort or participation is must in accomplishing mission and framework objectives. The paper represents a survey of various trust applications which are very helpful for carrying out a secure data transmission in a sensor network. The analysed trust applications malicious attack detection, secure data aggregation, secure node selection and secure routing.
Ergonomics assessment of current aircraft passenger seat design against Malaysian anthropometry data
Authors: Ozve Aminian Negin , Izzuddin Romli Fairuz
Published: November 2018

There have been many complaints from aircraft passengers regarding the cabin comfort level during flight. One of the main cabin aspects that influence the level of passenger comfort is identified as the passenger seat. In this study, the representative of the current aircraft seat design is evaluated against anthropometry data of Malaysians. This is done to establish whether there is any mismatch between the seat design and the anthropometry of the Malaysian passengers such that it contributes to the low cabin comfort experiences. Based on the findings, it can be generally concluded that the current aircraft seat needs to be better and more ergonomically designed to match with the Malaysian anthropometry in order to potentially provide more comfortability for the Malaysian aircraft passengers.Â
Comparison of horizontal axis wind turbine (HAWT) and vertical axis wind turbine (VAWT)
Authors: Khudri Johari Muhd , Azim A Jalil Muhammad , Faizal Mohd Shariff Mohammad
Published: November 2018

As the demand for green technology is rising rapidly worldwide, it is important that Malaysian researchers take advantage of Malaysiaâ€™s windy climates and areas to initiate more power generation projects using wind. The main objectives of this study are to build a functional wind turbine and to compare the performance of two types of design for wind turbine under different speeds and behaviours of the wind. A three-blade horizontal axis wind turbine (HAWT) and a Darrieus-type vertical axis wind turbine (VAWT) have been designed with CATIA software and constructed using a 3D-printing method. Both wind turbines have undergone series of tests before the voltage and current output from the wind turbines are collected. The result of the test is used to compare the performance of both wind turbines that will imply which design has the best efficiency and performance for Malaysiaâ€™s tropical climate. While HAWT can generate higher voltage (up to 8.99 V at one point), it decreases back to 0 V when the wind angle changes. VAWT, however, can generate lower voltage (1.4 V) but changes in the wind angle does not affect its voltage output at all. The analysis has proven that VAWT is significantly more efficient to be built and utilized for Malaysiaâ€™s tropical and windy climates. This is also an initiative project to gauge the possibility of building wind turbines, which could be built on the extensive and windy areas surrounding Malaysian airports.Â Â