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Functional Nonparametric Predictions in Food Industry Using Near-Infrared Spectroscopy Measurement

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Computers, Materials & Continua 2023年第3期74卷 6307-6319页

作者： Ibrahim M.Almanjahie omar Fetitah Mohammed kadi Attouch Tawfik Benchikh Department of Mathematics College of ScienceKing Khalid UniversityAbha62529Saudi Arabia Statistical Research and Studies Support Unit King Khalid UniversityAbha62529Saudi Arabia Laboratory of Statistics and Stochastic Processes University of Djillali Liabes BP 89 Sidi Bel Abbes22000Algeria Medical Faculty Djillali Liabes University BP 89Sidi Bel Abbes22000Algeria

Functional statistics is a new technique for dealing with data thatcan be viewed as curves or images. Parallel to this approach, the Near-InfraredReflectance (NIR) spectroscopymethodology has been used in modern chemistryas a rapid, low-cost, and exact means of assessing an object’s chemicalproperties. In this research, we investigate the quality of corn and cookiedough by analyzing the spectroscopic technique using certain cutting-edgestatistical models. By analyzing spectral data and applying functional modelsto it, we could predict the chemical components of corn and cookie *** Functional Classical Estimation (KFCE), Kernel Functional QuantileEstimation (KFQE), Kernel Functional Expectile Estimation (KFEE),Semi-Partial Linear Functional Classical Estimation (SPLFCE), Semi-PartialLinear Functional Quantile Estimation (SPLFQE), and Semi-Partial LinearFunctional Expectile Estimation (SPLFEE) are models used to accuratelyestimate the different quantities present in Corn and Cookie dough. Theselection of these functional models is based on their ability to constructa forecast region with a high level of confidence. We demonstrate that theconsidered models outperform traditional models such as the partial leastsquaresregression and the principal component regression in terms of predictionaccuracy. Furthermore, we show that the proposed models are morerobust than competing models such as SPLFQE and SPLFEE in the sensethat data heterogeneity has no effect on their efficiency.

关键词： Functional statistics NIR chemical component kernel estimation

Road scene analysis for determination of road traffic density

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Frontiers of Computer Science 2014年第4期8卷 619-628页

作者： omar AL-kadi Osama AL-kadi Rizik AL-SAYYED Ja'far ALQATAWNA King Abdullah lI School for Information Technology University of Jordan Amman 11942 Jordan College of Engineering and Computer Science Australian National University Canberra ACT 0200 Australia

Road traffic density has always been a concern in large cities around the world, and many approaches were developed to assist in solving congestions related to slow traffic flow. This work proposes a congestion rate estimation approach that relies on real-time video scenes of road traffic, and was implemented and evaluated on eight different hotspots covering 33 different urban roads. The approach relies on road scene morphology for estimation of vehicles average speed along with measuring the overall video scenes randomness acting as a frame texture analysis indicator. Experimental results shows the feasibility of the proposed approach in reliably estimating traffic density and in providing an early warning to drivers on road conditions, thereby mitigating the negative effect of slow traffic flow on their daily lives.

关键词： road congestion image texture local binary pattern scene morphology

Industrial Food Quality Analysis Using New k-Nearest-Neighbour methods

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Computers, Materials & Continua 2021年第5期67卷 2681-2694页

作者： omar Fetitah Ibrahim M.Almanjahie Mohammed kadi Attouch Salah Khardani Laboratory of Statistics and Stochastic Processes University of Djillali LiabesSidi Bel Abbes22000Algeria Department of Mathematics College of ScienceKing Khalid UniversityAbha62529Saudi Arabia Statistical Research and Studies Support Unit King Khalid UniversityAbha62529Saudi Arabia Facultédes sciences de Tunis Laboratoire des Réseaux Intelligents et NanotechnologieTunisTunisia

The problem of predicting continuous scalar outcomes from functional predictors has received high levels of interest in recent years in many fields,especially in the food *** k-nearest neighbor(k-NN)method of Near-Infrared Reflectance(NIR)analysis is practical,relatively easy to implement,and becoming one of the most popular methods for conducting food quality based on NIR *** k-NN is often named k nearest neighbor classifier when it is used for classifying categorical variables,while it is called k-nearest neighbor regression when it is applied for predicting noncategorical *** objective of this paper is to use the functional Near-Infrared Reflectance(NIR)spectroscopy approach to predict some chemical components with some modern statistical models based on the kernel and k-Nearest Neighbour *** this paper,three NIR spectroscopy datasets are used as examples,namely Cookie dough,sugar,and tecator ***,we propose three models for this kind of data which are Functional Nonparametric Regression,Functional Robust Regression,and Functional Relative Error Regression,with both kernel and k-NN approaches to compare between *** experimental result shows the higher efficiency of k-NN predictor over the kernel *** predictive power of the k-NN method was compared with that of the kernel method,and several real data sets were used to determine the predictive power of both methods.

关键词： Functional data analysis classical regression robust regression relative error regression kernel method k-NN method near-infrared spectroscopy

Design Optimization for Generating a High Static Magnetic Field

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World Journal of Engineering and Technology 2023年第4期11卷 793-806页

作者： hussien A. Elharati Salma Ahmed Alharati Ziad omar Wareg Mohamed Amro Waregh Department of Electrical Engineering Higher Institute of Science and Technology Tripoli Libya Physics Department Ministry of Education Tripoli Libya Higher Institute of Science and Technology Nalut Libya

This paper details the creation of a device capable of generating a powerful and consistent static magnetic field. This apparatus serves the purpose of quantifying the magnetostrictive strain found in materials like annealed cobalt ferrite and Terfenol-D, specifically those shaped as cylindrical rods. In our investigation, the use of static magnetic fields proves most advantageous. This choice is made to mitigate the generation of eddy currents, which would inevitably occur if the magnetic field intensity were varied. The fundamental idea behind this design involves employing a C-shaped iron core constructed from low-carbon mild steel. On this core, three coils are mounted, each capable of producing one-third of the required 9000 Oersted (Oe) magnetic field strength. The test specimen is situated within the “jaws” of the C-shaped core, thus completing the magnetic circuit. To manage the heat generated by each coil, a cooling system consisting of copper tubes is employed. These tubes facilitate the flow of air to dissipate the heat. To model and predict the magnetic field strength produced by the coils, finite element analysis (FEMM) software is utilized, and the results align closely with the anticipated outcomes. This design effectively generates a robust and unchanging magnetic field measuring a stable 9000 Oe in total. Consequently, this equipment finds utility in characterizing the magnetic properties of specific materials.

关键词： Static Magnetic Field Magnetostrictive Strain Eddy Currents Magnetic Field Strength Finite Element Method Magnetics (FEMM)

Molecular characterization of Cysticercus tenuicollis of slaughtered livestock in Upper Egypt governorates

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Asian Pacific Journal of Tropical Biomedicine 2016年第8期6卷 706-708页

作者： Mosaab Adl Eldin omar Layla Omran Elmajdoub Mohammad Saleh Al-Aboody Ahmed Mahmoud Elsify Ahmed Osman Elkhtam Abdelnasser A.hussien Department of Parasitology Faculty of Veterinary Medicine South Valley University Zoology Department Misurata University Department of Medical Laboratories College of Science Al-Zulfi Majmaah University Department of Animal Medicine and Infectious Diseases Faculty of Veterinary Medicine Sadat City University Department of Parasitology Faculty or Veterinary Medicine University of Sadat City Zoology Department College of Science South Valley University

Objective: To present the molecular characterization of Cysticercus tenuicollis(C. tenuicollis) of Taenia hydatigena(T. hydatigena) from livestock isolates in Egypt, and to introduce a detailed image of C. tenuicollis infection in ruminant animals in Upper ***: The prevalence rates of C. tenuicollis infections among the slaughtered animals from different organs were determined using the amplification of sequencing of the MT-CO1 ***: In the present study the infection rates of C. tenuicollis were found to be 16%and 19% in sheep and goat samples respectively. Firstly we report one larval stage of T. hydatigena detected in the camel liver in Egypt. C. tenuicollis infection manifested a higher prevalence in females than in males. Those above two years of age manifested a higher infection rate than younger animals. The preferred site for the infection was the omentum: a 70% preference in sheep and a 68% preference in goats. The molecular characterization using the MT-CO1 gene of isolates from sheep, goats and camels corresponded to T. hydatigena. For this study, molecular characterizations of T. hydatigena were done for the first time in Egypt. Molecular tools are of great assistance in characterizing the C. tenuicollis parasite especially when the morphological character cannot be detected, because the metacestodes are frequently confused with infection by the hydatid cyst, especially when these occur in the visceral organs. In the present study,C. tenuicollis manifested high identity in the goat and sheep samples, while differences were found more frequently in the camel samples(10 base pair).Conclusions: Clearly molecular diagnosis for C. tenuicollis infection significantly helps to differentiate it from such other metacestodes as hydatidosis, which manifests a completely different pathogenicity and requires different control programs.

关键词： Cysticercus tenuicollis Taenia hydatigena Slaughtered animals Molecular characterization Egypt

The Consequence of Particle Crushing in Engineering Properties of Granular Materials

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International Journal of Geosciences 2013年第7期4卷 1055-1060页

作者： omar H. Al Hattamleh hussien H. Al-Deeky Mohammad N. Akhtar Assistant Lecturer Hashemite University Zarqa Jordan Associate Professor Civil Engineering Department Fahad Bin Sultan University Tabuk KSA Lecturer Fahad Bin Sultan University Tabuk KSA

This paper presents experimental investigation for particles breakage for natural sand. The particle breakage was induced by subjecting the sample to one dimensional compression. Grain size analyses were performed before and after induced breakage. Thereafter, the sand shear strength parameters were assessed using direct shear box tests and the coefficient of permeability was assessed using constant head permeameter. Examining the obtained results revealed that the amount of breakage due to one dimensional compression was of order higher than the amount occurring during direct shear test. Peak shear strength parameters decreased with the particles breakage increasing. Moreover, dilation angle of shear strength pronouncedly decreases with the amount of particles breakage increasing. Crushing has obvious effect on the evaluated coefficient of permeability.

关键词： Sand Dilatancy Frictional Materials Crushing Particle Breakage Permeability

Coconut Fibre Effect on Fresh and Thermo Gravimetric Properties to Mitigate Spalling of Self-Compacting Concrete at Elevated Temperatures

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Open Journal of Civil Engineering 2015年第3期5卷 328-338页

作者： Qahir N. S. AL-kadi Arabi N. S. AL Qadi Kamal Nasharuddin Bin Mustapha Sivakumar Naganathan Zakaria Bin Che Muda Department of Earth Sciences and Environment The Hashemite University Zarqa Jordan Department of Civil Engineering AL Hussien Bin Talal University Ma’an Jordan Department of Civil Engineering Universiti Tenaga National Selangor Malaysia

In this research the effect of Coconut (CN) fibre on the fresh and thermo gravimetric properties of self-compacting concrete (SCC) at elevated temperatures was investigated experimentally and statistically. The mixtures containing cement, water, fly ash, fine aggregate, coarse aggregate and super plasticizer with the addition of CN fibres (0%, 0.05%, 0.10 %, and 0.15%) by volume of the mixtures were prepared. The fresh and thermo gravimetric properties of the SCC specimens were determined after mixing at elevated temperatures (200℃, 400℃, and 600℃) testing in a laboratory. Three control specimens with 0% CN fibres were used for every mixture of SCC. Regression models were developed to determine the responses. The optimum of the CN fibres was measured.

关键词： Coconut Fibres Concrete Hardened Density Weight Loss Compressive Strength