European Journal of Scientific Research
Volume 138 No 2
An Improved Experimental System Based on LabVIEW for Measuring the Dielectric Properties of ferromagnetic Materials Using an Accurate Inductive Sensor
Zakaryae Ezzouine and Abdelrhani Nakheli
In this paper, we present an improved measuring method which uses inductive sensor and acquisition data system are proposed from this investigation. In this experiment, you will investigate the magnetic permeability between two coils with a same number of spires (10 turns). The excitation coil is alimented by a low frequency generator. The magnetic flux flows through the measuring coil, and a current traveling through both coils will produce a magnetic force between the coils. We assume our multimeter virtual in LabVIEW to gives an accurate value for the current and voltage. The goal of this paper is to present the fundamentals for measuring. In addition is to present the measurement method, procedure for measuring, and provide a user-friendly data acquisition interface graphic both used in this experimental set up using LabVIEW developed specifically for displays of time and voltage of the sensor signal and calculated the constant permeability and the proprieties magnetic for the test ferromagnetic bar for different frequencies. The validity of the new method is confirmed by experiment. The experimental results show that thanks to experimental set up system good ability of generalization, permeability of magnetic materials can be extracted accurately and easily.
Keywords: Inductive Sensor, Experimental Setup, Ferromagnetic Materials, Dielectric Properties of Materials, Permeability Measurement, Instrumentation (Labview)
A Prototype Design for Best Spreader Identification using K-Shell Graph Structure in Online Social Networks
H.Jayamangala and Dr. Ananthi Sheshasaayee
Social networks are emerging as popular sites among the people all over the world. In viral marketing, advertising agents require a few influential users to spread the information about a new product in a short duration and also within the advertiser’s budget. A best spreader identification process in complex social networks is a crucial challenge in a social environment. The existing solutions in identifying the influential users contemplate only on the nearest neighbor’s degree, representing the user’s influence in the local proxy. Hence, it lacks in analyzing the user’s influence over the global structure. To overcome this obstacle, this paper presents the information hub identification model named as beSt sPreadeR IdentificatioN using K-shelL graph structurE (SPRINKLE). A SPRINKLE includes two stages, the one, that determines the local proxy for user’s influence and the other, a global proxy of k-shell decomposition to identify the influential users accurately on the Facebook. The first stage of SPRINKLE evaluates the user’s influence using Eigen Vector Centrality (EVC) that has a direct affinity value to determine the local proxy. The Direct affinity is measured by using feature’s similarity and tie strength between users. It employs the assortative coefficient and essential dimensions to measure the feature’s similarity and tie strength between users respectively. The second stage of SPRINKLE implements the centrality measurement of local proxy in k-shell graph structure to analyze the user’s influence in a global social structure. It estimates the individual centrality of each neighbor at each kth shell of graph structure and examines the user’s impact up to the edge of the neighbors - link. Finally, it exploits the estimated average influence and direct affinity of all neighbor’s neighbors’ and so forth in succession using knsum measurement of an EVC in the k - shell graph. It predicts the best spreader based on the ranking of global structure. The experimental results illustrate the effectiveness of SPRINKLE approach using Facebook wall posts dataset.
Keywords: Online social networks, Influential user, best spreader, tie strength, Eigenvector centrality, and k-shell
Informatics tools supporting biomedical research and healthcare outcomes in Africa: current utilization and strategies to improve access
Segun A Fatumo, Denye N Ogeh, Olugbenga O. Oluwagbemi and Olumide O Adenmosun
Informatics tools are very crucial to improving biomedical research outcomes and providing quality healthcare in Africa. There are however challenges being encountered by scientists from African countries with respect to gaining access to the required tools for research and provision of healthcare.
With respect to the purpose: In this research, we conducted a comprehensive study on the current utilization of informatics tools in biomedical and healthcare research and provided effective strategies to guarantee improved accessibility to these tools towards providing better research outcomes and improving healthcare in Africa
Materials and Methods:
60 survey participants with Postgraduate degrees of education distributed across Northern, Southern, Eastern, and Western African countries participated in our study.
Our methods centred on collecting data quantitatively by conducting an online survey, analyzing the data statistically and making informed decisions based on the results of our analysis.
Our results showed that; Limited usability skills and lack of internet access were the major limitations to current utilization of bioinformatics and computational biology tools by African researchers. NCBI and EMBL were the bioinformatics and computational biology resources mostly accessed by African researchers. Over 90% of the need of African researchers was on Genomic data, while 30% centred on proteomics. Other aspects of bioinformatics research such as metabolomics, transcriptomics have not been well explored by African researchers. The most widely accessed protein database by African scientists is the Uniprot. The most widely accessed nucleotide sequence databases are the GenBank(NCBI) and the EMBL-EBI. African scientists have high access to sequence alignment tools such as Blast, Clustal W and Phylogenetic informatics tools.
In conclusion, recommendations
were made based on the results obtained. In order to improve access to informatics tools among African researchers, provision of comprehensive bioinformatics education had the highest and best rating. Inter-institutional exchange of bioinformaticians and provision of bioinformatics educational resources had good ratings. Sponsoring scholars to bioinformatics conferences had the worst rating.
Keywords: bioinformatics tools, African researchers, adoption, computational biology, health support.
Gradient Based Edge Detection Implementation on GPU
Mazin O. Khairo
Detecting edges is a preliminary step in image noise reduction and feature extraction applications. In this paper, Sobel edge detector implementation on GPU is proposed, using CUDA (Compute Unified Device Architecture) computing architecture. Performance analysis on CPUs and GPUs is done. The experimental result shows that our implementation of sobel filter on CUDA got time gains evidence from CPU-based implementations.
Keywords: Sobel filter, Graphic Processor Unit GPU, CUDA programming.
Addressing Security Issues in Cloud Computing
Rola Motawie, Mahmoud M. El-Khouly and Maged Hussien Wafy
Cloud is a pool of computing resources that are shared among cloud users. Security of data in the cloud is one of the key challenges which acts as an obstacle to the implementation of cloud computing. There are new concepts that cloud introduces, such as resource sharing, multi-tenancy, and outsourcing, create new challenges for the security community. In this work, we provide a comparative study of cloud computing privacy and security concerns. We identify and classify known security threats, cloud vulnerabilities, and attacks.
Keywords: Cloud computing, Data privacy, Threats, Vulnerabilities.
Does The Ricardian Equivalence Hypothesis Hold For Nigeria And Ghana?
NKALU Chigozie Nelson, Richardson Kojo EDEME and NWOSU O. Emmanuel
This study is undertaken to verify if the Ricardian Equivalence Hypothesis (REH) hold for Nigeria and Ghana using annual time-series data of both developing countries covering from 1970 to 2013; and taking previous empirical studies as its point of reference and departure. The broad objective of the study is dissected into the following specific objectives of the study as thus: to examine the effects of budget deficits on interest rates, inflation, and economic growth in Nigeria and Ghana within the methodological framework of Seemingly Unrelated Regression (SUR) model and Two-Stage Least Squares (2SLS). The study employs Eagle-Granger Cointegration test, Augmented Dickey Fuller (ADF) and Phillips-Perron (PP) tests in estimating the systems equations. Data sourced from World Bank, IMF - World Economic Outlook, Central Bank of Nigeria, Bank of Ghana and others, were analyzed using SUR model with several diagnostic and specification tests to examine the objectives of the study. From the perspective of this study, the empirical findings demonstrated that the Ricardian Equivalence Hypothesis (REH) hold for Nigeria and Ghana thereby validating the proposition of the Ricardian School in both developing nations.
Keywords: Budget Deficit, Ricardian Equivalence Hypothesis (REH), Seemingly Unrelated Regression (SUR), Nigeria and Ghana
JEL Classification: H62 E31 E43 O40
Analytical Study & Effect of Water Cement Ratio On the Compressive Strength and Corrosion of Reinforced Cement Concrete
Ashutosh S.Trivedi, O.P.S.Bhadauria, Dr.R.P.Sharma, and Dr.S.S.Bhadauria
Present paper focuses on the effect of water/cement ration on the corrosion of the steel and on its compressive strength. The main aim is to find out the effect of the water/cement ratio on the corrosion of on reinforced steel structure. Five different water/cement sample ratios have been chosen 0.45, 0.52, 0.60, 0.68 and 0.75. An experimental work has been conducted to by utilizing appropriate amount of water. From the results we have found that the penetration causing ions like chloride and carbon dioxide have reduced. Good compressive strength and corrosion resistance have been found for water/cement ratio less than 0.6.
Image Cryptography Via SVD Modular Numbers
Adil AL-Rammahi and Mohammed Al-kufi
In this paper , a flexible method was introduced for encryption and decryption of digital images .The method based on analyzing of original matrix image via two operations. First the matrix is transformed to remainder matrix via modular numbers technique. Second the remainder matrix is analyzed using singular values decomposition. For more complexity, two keys was designed, the one was assigning to modular technique and the other was assigned to SVD technique. The goodness of composed proposed method cited with different updated methods. The test tables of numerical comparisons appears the high level of goodness for our method. Also there is no errors between original image and deciphering test images.
Keywords: image cryptography, modular numbers, singular values decomposition AMS Subject Classification.
Land Surface Analysis of Salt Affected Soils Using DEM and GIS
R.R. Ali, M. Saber, J.J. Nizinski, J.P. Montoroi and A.M. Zaghloul
The main objective of the current study is to use the Digital Elevation Model (DEM) and Geographic Information System (GIS) to characterize the surfaces of saline soils. To fulfill this objective two pilot areas represents different soil texture were selected. The first area located to the north of the Nile Delta (alluvial plain) where the second is located at North Sinai (aeolian plain. Shuttle Radar Topography Mission (SRTM) images were used for land surface analyses. The spatial analyst function of ARC-GIS software has been used to produce digital maps of water table and soil salinity. The results indicate that the soil salinity exhibits the low-lying elevation, flat or nearly flat areas (slope < 1%) slopping surfaces of north or south directions. The correlation between water table and soil salinity is significant (R2
= 0.714) in the Aeolian plain while it is not significant (R2
= 0.422) in the alluvial plain. Information on land surface becomes a must for the management of salt affected soils.
Keywords: land surface, water table, soil salinity, digital elevation model.
Toxicité Aigüe des Alcaloïdes Totaux des Graines de Datura Stramonium chez les Souris Femelles
Zohra Benouadah, Nadia Mahdeb, Abdelouahab Bouzidi and Rouabah Abdelkader
La toxicité des alcaloïdes totaux des graines de Datura stramonium
, plante hallucinogène, est étudiée in vivo. La DL50
par i.p de l’extrait des alcaloïdes totaux est 298,22 mg/kg après 14 jours d’observation.
La dose 60 mg/kg (1/5 DL50
) des alcaloïdes totaux des graines de Datura stramonium
ne produit pas de mortalité ou de changements significatifs dans le comportement et dans l’apparence des organes internes des souris femelles. Les masses relatives des organes cœur, foie et reins ont connu une augmentation significative après le 5ème
jour de l’application. Les concentrations de l’urée et de la créatinine et de l’activité enzymatique de la GPT ont connu une augmentation significative dans les groupes traités avec les alcaloïdes.
Des changements histopathologiques significatifs comme la congestion sanguine des vaisseaux et des foyers de nécrose sont observés.
Nos études montrent, qu’à très forte dose, les alcaloïdes totaux des graines de Datura stramonium
provoquent des endommagements marqués du foie et des reins.
Keywords: Datura stramonium
, alcaloïdes, atropine, scopolamine, toxicité, souris.