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Articles 1 - 24 of 24
Full-Text Articles in Physical Sciences and Mathematics
Twitter Fake Account Detection And Classification Using Ontological Engineering And Semantic Web Rule Language, Mohammed Jabardi, Asaad Sabah Hadi
Twitter Fake Account Detection And Classification Using Ontological Engineering And Semantic Web Rule Language, Mohammed Jabardi, Asaad Sabah Hadi
Karbala International Journal of Modern Science
Nowadays, Twitter has become one of the fastest-growing Online Social Networks (OSNs) for data sharing frameworks and microblogging. It attracts millions of users worldwide where subscribers communicate with each through posts and messages known as "tweets". The open structure and behaviour of Twitter cause it to be vulnerable to attacks from fake accounts and a large number of automated software, known as 'bots'. Bots are regarded to be malicious as they send spam to users of social networks over the internet. Data security and privacy are among the most critical issues of social network users, as the protection and fulfilment …
A Fuzzy Assessment Model For Hospitals Services Quality Based On Patient Experience, Mohamed Khodyer Alkafaji, Eman Salih Al-Shamery
A Fuzzy Assessment Model For Hospitals Services Quality Based On Patient Experience, Mohamed Khodyer Alkafaji, Eman Salih Al-Shamery
Karbala International Journal of Modern Science
The patient's experience is a lens for services assessment that provide from healthcare institutions because the patient is the first and the last recipient for the service. The patient's experience carries a lot of uncertainty and an ultimate decision cannot be taken from the patient about the services, but it carries the partial truth. Many artificial intelligence technologies deal with the concept of partial truth, such as genetic algorithms and neural networks, but the fuzzy logic remains pioneering to deal with uncertainty. This paper aims to develop an assessment model by using fuzzy inference that is able to assess the …
A Systematic Mapping Study On The Risk Factors Leading To Type Ii Diabetes Mellitus, Karar N. J Musafer, Fahrul Zaman Huyop, Mufeed J Ewadh, Eko Supriyanto, Mohammad Rava
A Systematic Mapping Study On The Risk Factors Leading To Type Ii Diabetes Mellitus, Karar N. J Musafer, Fahrul Zaman Huyop, Mufeed J Ewadh, Eko Supriyanto, Mohammad Rava
Karbala International Journal of Modern Science
Diabetes is one of the most common diseases that has had devastating effects on the general population. It is also among the most popular research trends in modern medicine. Thus, due to the complexity and desirability of this particular affliction, there is a lot of demand towards understanding this disease better, so that it can pave the way towards better solutions in combating diabetes. The aim of this review is to provide a categorization of the risk factors leading to Type II Diabetes. In order to provide a justification for the type of diabetes, an explanation is provided which covers …
A Novel Energy-Efficient Sensor Cloud Model Using Data Prediction And Forecasting Techniques, Kalyan Das, Satyabrata Das, Aurobindo Mohapatra
A Novel Energy-Efficient Sensor Cloud Model Using Data Prediction And Forecasting Techniques, Kalyan Das, Satyabrata Das, Aurobindo Mohapatra
Karbala International Journal of Modern Science
An energy-efficient sensor cloud model is proposed based on the combination of prediction and forecasting methods. The prediction using Artificial Neural Network (ANN) with single activation function and forecasting using Autoregressive Integrated Moving Average (ARIMA) models use to reduce the communication of data. The requests of the users generate in every second. These requests must be transferred to the wireless sensor network (WSN) through the cloud system in the traditional model, which consumes extra energy. In our approach, instead of one second, the sensors generally communicate with the cloud every 24 hours, and most of the requests reply using the …
Chemical Composition And Antibacterial Activity Of The Essential Oil Of Myrtus Communis Leaves, Hajar El Hartiti, Amine El Mostaphi, Mariam Barrahi, Aouatif Ben Ali, Nabila Chahboun, Rajaa Amiyare, Abdelkader Zarrouk, Brahim Bourkhiss, Mohammed Ouhssine
Chemical Composition And Antibacterial Activity Of The Essential Oil Of Myrtus Communis Leaves, Hajar El Hartiti, Amine El Mostaphi, Mariam Barrahi, Aouatif Ben Ali, Nabila Chahboun, Rajaa Amiyare, Abdelkader Zarrouk, Brahim Bourkhiss, Mohammed Ouhssine
Karbala International Journal of Modern Science
The aim of this work is to determine the yield of the essential oil of the Myrtus communis leaves, to identify its chemical composition and to evaluate its antibacterial properties. The plant is harvested from Sidi Ahmed Chrif, a region in Ouazzane, Morocco. The extraction of the essential oil was carried out by hydrodistillation in a Clevenger apparatus type. The average yield was 0.7%. The analysis of this oil by Gas Chromatography coupled with Mass Spectrum (GC/MS) allows the identification of 32 compounds. Eucalyptol was the main compound with 42.43%, followed by myrtenyl acetate (21.25%) and α-pinene (19.39%). Myrtle essential …
Hormones Of Maize Crop As Affected By Potassium Fertilization , Water Quality And Ascobin Foliar Application ., Qais Hussain Al-Samak Prof., Fatima Karim Khudair Alasadi
Hormones Of Maize Crop As Affected By Potassium Fertilization , Water Quality And Ascobin Foliar Application ., Qais Hussain Al-Samak Prof., Fatima Karim Khudair Alasadi
Karbala International Journal of Modern Science
A pot assay on the plastic container of the wire sunshade in the University of Kerbala's Agricultural Division was conducted to research the impact of potassium treatment, the salinity of irrigation water and ascobin sprinkling, just as their connections, on the some plant hormones activities (auxin, gibberellin and abscisic acid) in developing Zea mays crops in a soil with sandy texture during the farming fall period of 2017–2018. The trial was planned as a factorial one with three factors, Potassium adding are 0, 100 and 200 Kg K.ha–1 . the irrigation water salinity are 1, 3 and 6 ds.m …
Fruit Recognition Using Support Vector Machine Based On Deep Features, Santi Kumari Behera, Amiya Kumar Rath, Prabira Kumar Sethy
Fruit Recognition Using Support Vector Machine Based On Deep Features, Santi Kumari Behera, Amiya Kumar Rath, Prabira Kumar Sethy
Karbala International Journal of Modern Science
Fruit recognition with its variety classification is a promising area of research. This research is useful for monitoring and categorizing the fruits according to their kind with the assurance of fast production chain. In this research, we establish a new high-quality dataset of images containing the five most popular oval-shaped fruits with their varieties. Recent work in deep neural networks has led to the development of many new applications related to precision agriculture, including fruit recognition. This paper proposes a classification model for 40 kinds of Indian fruits by support vector machine (SVM) classifier using deep features extracted from the …
Synthesis, Characterisation And Biological Evaluation Of Tyramine Derived Schiff Base Ligand And Its Transition Metal(Ii) Complexes, Abdul Khader Jailani, N.S.K. Gowthaman, Mookkandi Palsamy Kesavan
Synthesis, Characterisation And Biological Evaluation Of Tyramine Derived Schiff Base Ligand And Its Transition Metal(Ii) Complexes, Abdul Khader Jailani, N.S.K. Gowthaman, Mookkandi Palsamy Kesavan
Karbala International Journal of Modern Science
In this study, a new tyramine derived Schiff base ligand (L) (L=1,3-phenylene-bis-4-aminoantipyrinyl-4-aminoethylphenol) and its derived transition metal(II) complexes [Cu(L)Cl2](1), [Ni(L)Cl2](2), [Co(L)Cl2] (3) and [Zn(L)Cl2] (4) have been synthesized and well characterized by the way of different spectroscopic and analytical techniques. Analytical and spectroscopic studies result suggests that metal(II) complexes more probably have octahedral geometry. DNA binding tendency of L and metal(II) complexes 1-4 have been assessed by probing their ability to bind with Calf Thymus DNA (CT-DNA) via electronic absorption and cyclic voltammetry titration methods. The results clearly reveal that the metal(II) …
Evaluation Of Structure And Properties Of Various Sol–Gel Nanocoatings On Biomedical Titanium Surface, Mohsin Talib Mohammed, Sarah Mohammed Hussein
Evaluation Of Structure And Properties Of Various Sol–Gel Nanocoatings On Biomedical Titanium Surface, Mohsin Talib Mohammed, Sarah Mohammed Hussein
Karbala International Journal of Modern Science
This study deals with the preparation and characterization of different bioceramic nanofilms formed on the surface of new metastable β-titanium (Ti) alloy. The films of pure TiO2, pure HA, TiO2/HA bilayer and HA/TiO2 composite were coated successfully on Ti surface by sol-gel using spray pyrolysis deposition technique. The surface characteristics of coated substrates, such as thickness, topography, morphology, phase transformations and wear behavior, were evaluated and compared to uncoated substrate. The results showed that the sol-gel is a promising technique to create biocoatings on Ti surface with outstanding structure and properties for biomedical applications.
On The Dynamic Behaviour Of Automobile Pulleys Under Cyclic Loading, Haval Kamal Asker, Thaker Saleh Dawood
On The Dynamic Behaviour Of Automobile Pulleys Under Cyclic Loading, Haval Kamal Asker, Thaker Saleh Dawood
Karbala International Journal of Modern Science
This paper investigates the dynamic characteristics of pulley systems with different numbers of bolt holes. Models with four, six and eight bolt holes were chosen for the pulley. Three sets of cyclic pressure were applied to the pulley system to resemble the different running revolutions of an engine. The study investigates the effect of the number of holes on the system’s stiffness and natural frequency. Finite element models were used to simulate the obtained deformations, stresses and frequency response function (FRF) for pulley models comprising four, six and eight bolt holes under different cyclic pressures. The results show that the …
Direct Line Routing Protocol To Reduce Delay For Chain Based Technique In Wireless Sensor Network, Haydar Abdulameer Marhoon, Raaid Alubady, M. K. Abdulhameed
Direct Line Routing Protocol To Reduce Delay For Chain Based Technique In Wireless Sensor Network, Haydar Abdulameer Marhoon, Raaid Alubady, M. K. Abdulhameed
Karbala International Journal of Modern Science
The main objective of routing protocol is to select the next-hop connection node for packets traveling from source to distention. Greedy algorithm depends on the distance only to select the next-hop connection and it is building one chain only. Delay is considering the main drawback in all chain based routing protocols in the wireless sensor network. Direct Line Routing Protocol (DLRP) is a proposed protocol in this scientific research and it has three phases which are intraconnection, interconnection and chain head selection. DLRP connects all sensor nodes in the same line (column) in one chain then selects one node as …
Optically Thick Radiating Free Convective Mhd Nanofluid Flow Over An Exponentially Accelerated Plate, D.P. Bhatta, S.R. Mishra, J.K. Dash
Optically Thick Radiating Free Convective Mhd Nanofluid Flow Over An Exponentially Accelerated Plate, D.P. Bhatta, S.R. Mishra, J.K. Dash
Karbala International Journal of Modern Science
The present analysis investigates an unsteady conducting water-based nanofluid embedding with porous medium over an exponentially accelerated vertical plate. The plate is accelerated with moving ramped temperature. However, water is treated as the base fluid with Copper (Cu) and Titanium Oxide (TiO2) as nanoparticles. Effects of thermal radiation, heat source, and radiation absorption are taken care of in the energy equation which may enhance the heat transfer properties of nanofluid. The crux of the investigation is to find the closed-form solution of nonlinear coupled partial differential equations. Laplace Transform technique is employed to solve these equations. The influence …
A Support Vector Machine-Based Prediction Model For Electrochemical Machining Process, Subham Agarwal Mr., Shruti Sudhakar Dandge Ms., Shankar Chakraborty Prof.
A Support Vector Machine-Based Prediction Model For Electrochemical Machining Process, Subham Agarwal Mr., Shruti Sudhakar Dandge Ms., Shankar Chakraborty Prof.
Karbala International Journal of Modern Science
Manufacturing of quality products is one of the core measures to address competitiveness in industries. Hence, it is always necessary to accomplish quality prediction at early stages of a manufacturing process to attain high quality products at the minimum possible cost. To achieve this goal, the past researchers have developed and investigated the applications of different intelligent techniques for their effective deployment at various stages of manufacturing processes. In this paper, support vector machine (SVM), a supervised learning system based on a novel artificial intelligence paradigm, is employed for prediction of three responses, like material removal rate, surface roughness and …
Influence Of Carbon Fibres On Strain Sensing And Structural Properties Of Rc Beams Without Stirrups, Arvind Kumar Cholker, Manzoor Ahmad Tantray
Influence Of Carbon Fibres On Strain Sensing And Structural Properties Of Rc Beams Without Stirrups, Arvind Kumar Cholker, Manzoor Ahmad Tantray
Karbala International Journal of Modern Science
In present study, effect of micro carbon fibres on strain sensing property and structural behavior of the reinforced concrete (RC) beams in absence of stirrups was experimentally investigated. A total of three RC beams of dimensions, 125 mm width, 350 mm height and 1500 mm long were manufactured without stirrups. All the three beams had different longitudinal reinforcement ratios (0.9%, 1.43% and 1.03 %) and uniform strength of concrete of 36.5 MPa. All the beams had carbon fibre based concrete (CFBC) at top and bottom surface in mid span for a length of 350mm and depth of 78 mm. All …
Approximating Fixed Points In Modular Spaces, Salwa Salman Abed, Meena Fouad Abduljabbar
Approximating Fixed Points In Modular Spaces, Salwa Salman Abed, Meena Fouad Abduljabbar
Karbala International Journal of Modern Science
A generic two theorems for the two step iterative sequence of multivalued mappings are proved in a complete convex real modular space, and then cite some corollaries that are special cases of these theorems.
Technique Pair Of Node To Provide Power In Wsns, Nada B. Jarah
Technique Pair Of Node To Provide Power In Wsns, Nada B. Jarah
Karbala International Journal of Modern Science
The problem of exhaustion of the battery in the sensor node is one of the problems in traditional wireless sensor networks (WSNs) and charging in a hibernate state, which occurs frequently to assume the traditional connection, which delays data collection. To solve this problem, we propose node pair technology to reduce unnecessary packets in the send of same data as the connection between the short distance sensor nodes is prevented to improve data collection efficiency, the node pair effectiveness ratings have been conducted by computer simulation.
Study Of Deformation Parameters (Β2, Δ) For 18,20,22,24,26,28ne Isotopes In Sdpf Shell, Ahmed H. Ali, Maha Taha Idrees
Study Of Deformation Parameters (Β2, Δ) For 18,20,22,24,26,28ne Isotopes In Sdpf Shell, Ahmed H. Ali, Maha Taha Idrees
Karbala International Journal of Modern Science
The quadrupole deformation is basic to study the shape transitions; it is possible to predict many important properties of even-even nuclei as a function of the deformation parameter. The deformations of nuclei are important for understanding their shapes prolate or oblate. The quadrupole deformation parameters were calculated by the transition probability B (E2) for 18, 20, 22, 24, 26,28Ne isotopes, were adopted different interactions three. The calculations are performed with the Bohr-Mottelson (B-M) effective charges, which represent the effect of the core-polarizations. Also, the deformation parameters were calculated for different nuclei and adopted two methods of calculation: from reduced …
Investigation Of Glucose Oxidation At Gold Nanoparticles Deposited At Carbon Nanotubes Modified Glassy Carbon Electrode By Theoretical And Experimental Methods., Farhat Saira, Humaira Razzaq, Misbah Mumtaz, Safeer Ahmad, Muhammad Aftab Rafiq, Azra Yaqub, Nabiha Dilshad, Ayesha Ihsan, Muhammad Masood Ul Hasan
Investigation Of Glucose Oxidation At Gold Nanoparticles Deposited At Carbon Nanotubes Modified Glassy Carbon Electrode By Theoretical And Experimental Methods., Farhat Saira, Humaira Razzaq, Misbah Mumtaz, Safeer Ahmad, Muhammad Aftab Rafiq, Azra Yaqub, Nabiha Dilshad, Ayesha Ihsan, Muhammad Masood Ul Hasan
Karbala International Journal of Modern Science
In the current research work, AuNPs-CNTs nanocomposite was synthesized chemically and decoration of AuNPs on the surface of MWCNTs was confirmed by UV-Vis, SEM and XPS analysis. Synthesized nanocomposite was utilized for its application towards non-enzymatic glucose sensing by modifying glassy carbon electrode with nanocomposite employing electrochemical techniques. In addition, theoretical calculations were performed by Density Functional Theory (DFT), employing B3YLP with basis set 6- 311+G(d,p) in gaseous phase and LANL2DZ basis set. Both theoretical and experimental results predicted Au-CNTs composite as a better candidate for glucose oxidation as compared to CNTs and AuNPs alone, owing to the synergistic effect …
Using Freak Descriptor To Classify Plasma Influence In Mice Sperm, Ekhlas Falih, Alaa Noori Mazhar
Using Freak Descriptor To Classify Plasma Influence In Mice Sperm, Ekhlas Falih, Alaa Noori Mazhar
Karbala International Journal of Modern Science
Numerous classification mechanisms anticipate the class's instances to be carried out as the features' vectors, namely the points in a feature's space. It is oftentimes a chance to make an informative exemplification of an image's feature vector for classification problems in computer vision like utilizing global descriptors for the texture description or shape description. The proposed methodology is to classify the sperm image in mice that has been affected through plasma and this methodology consists of three stages. The points of interest could be elicited from sperm plasma images in the first stage by utilizing Adaptive and Generic Corner detector …
A Parallel Grid Optimization Of Svm Hyperparameter For Big Data Classification Using Spark Radoop, Ahmed Hussein Ali, Mahmood Zaki Abdullah
A Parallel Grid Optimization Of Svm Hyperparameter For Big Data Classification Using Spark Radoop, Ahmed Hussein Ali, Mahmood Zaki Abdullah
Karbala International Journal of Modern Science
The big data phenomenon is currently a challenge to the process of relevant knowledge extraction using classical machine learning technique. This is due to the need for efficient data reduction and new fast-distributed machine learning algorithms for such process on big data. The extensive application of SVM demands efficient methods of constructing the classifier to be suitable for big data and high classification capability. In reality, the efficiency of SVM relies on the efficient derivation of the optimal feature subset and the algorithmic parameters. The grid search optimization method usually presents global optima and high learning accuracy compared to PSO …