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Arrhythmia Detection by Using Chaos Theory with Machine Learning Algorithms

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Computers, Materials & Continua 2024年第6期79卷 3855-3875页

作者： Maie Aboghazalah Passent El-kafrawy Abdelmoty M.ahmed Rasha Elnemr Belgacem Bouallegue Ayman El-sayed Math and Computer Science Department Faculty of ScienceMenoufia UniversityShebin El-komEgypt College of Engineering Computer Science DepartmentEffat UniversityJeddahKingdom of Saudi Arabia Department of Computer Engineering College of Computer ScienceKing Khalid UniversityAbha61421Saudi Arabia Computer Science and Engineering Department Faculty of Electronic EngineeringMenoufia UniversityShebin El-komEgypt Climate Change Information Center and Expert Systems Agriculture Research CenterGizaEgypt

Heart monitoring improves life ***(ECGs or EKGs)detect heart *** learning algorithms can create a few ECG diagnosis processing *** first method uses raw ECG and time-series *** second method classifies the ECG by patient *** third technique translates ECG impulses into Q waves,R waves and S waves(QRS)features using richer *** ECG signals vary naturally between humans and activities,we will combine the three feature selection methods to improve classification accuracy and *** using all three approaches have not been examined till *** researchers found that Machine Learning(ML)techniques can improve ECG *** study will compare popular machine learning techniques to evaluate ECG *** algorithms—Support Vector Machine(SVM),Decision Tree,Naive Bayes,and Neural Network—compare categorization *** plus prior knowledge has the highest accuracy(99%)of the four ML *** characteristics failed to identify signals without chaos *** 99.8%classification accuracy,the Decision Tree technique outperformed all previous experiments.

关键词： ECG extraction ECG leads time series prior knowledge and arrhythmia chaos theory QRS complex analysis machine learning ECG classification

Nanosecond pulse， dual-wavelength Q-switched 1.5 μm fiber laser using MAX phase CrTiAlCsaturable absorber

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Optoelectronics Letters 2024年

作者： ahmed SHAKIR AL-HITI HIBA HASsaN Department of Electrical Engineering， Faculty of Engineering， University of Anbar Department of Laser and Optoelectronics Engineering， University of Technology-Iraq

We demonstrated a new type of MAX phase material， Chromium Titanium Aluminum Carbide (Cr2TiAlC2) polymer film to generate a passively Q-switched erbium-doped fiber laser. The film thickness was measured around 45 μm which was fabricated using the embedding method with PVA polymer as hoster. The sa film demonstrates a dual-wavelength passively Q-switched erbium-doped fiber laser （EDFL） which operates at 1531 nm and 1560.19 nm， respectively. The Q-switching pulse duration could be varied from 2.46 μs to 770 ns while the repetition rate varied from 92.76 kHz to 106.6 kHz with an increasing input pumping range of 154 mW to 300 mW. The maximum output power and pulse energy of 15.05 mW and 141.18 nJ were obtained at a maximum input power of 300 mW， respectively. To the best of our knowledge， this is the first time that on dual-wavelength Q-switched EDF laser by Cr2TiAlC2as sa.

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Comparative study of three types of controllers for DFIG in wind energy conversion system

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Protection and Control of Modern Power Systems 2018年第1期3卷 223-234页

作者： saïd Boubzizi Hafedh Abid ahmed El hajjaji Mohamed Chaabane Lab-STA Laboratory National Engineering School of SfaxRoute de la Soukra3029 SfaxTunisia MIS Laboratory University of Picardie Jules Verne33Rue Saint-Leu80039 AmiensFrance

This paper presents an enhanced control strategy for Wind Energy Conversion System(WECS)using Doubly-Fed Induction Generator(DFIG).A robust Super-Twisting(STW)sliding mode control for variable speed wind turbine is developed to produce the optimal aerodynamic torque and improve the dynamic performance of the *** electromagnetic torque of the DFIG is directly tracked using the proposed control to achieve maximum power *** performance and the effectiveness of the STW control strategy are compared to conventional Sliding Mode(SM)and Proportional-Integral(PI)*** proposed STW algorithm shows interesting features in terms of chattering reduction,finite convergence time and robustness against parameters variations and system disturbances.

关键词： Wind turbine(WT) Doubly-fed induction generator(DFIG) Power generation STW(super-twisting) Second order sliding mode control(SOSMC) PI controller

Antihyperglycemic and antioxidant effects of Solanum xanthocarpum leaves(field grown & in vitro raised) extracts on alloxan induced diabetic rats

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Asian Pacific Journal of Tropical Medicine 2011年第10期4卷 778-785页

作者： K Poongothai P Ponmurugan K Syed Zameer ahmed B Senthil Kumar sa Sheriff Research and Development Centre Bharathiar UniversityCoimbatore-646041Tamil NaduIndia Department of Biotechnology K.S.Rangasamy College of TechnologyK.S.R.KalvinagarThiruchengode-637215Tamil NaduIndia Department of Biotechnology K.S.Ranga.samy College of TechnologyK.S.R.KalvinagarThiruchengode-637215Tamil NaduIndia Department of Biochemistry C.Abdul Hakeem CollegeMelvisharam-632509Tamil NaduIndia Department of Zoology Thiruvalluvar UniversitySerkaduVelloreTamil NaduIndia Department of Biochemistry College of Applied Medical SciencesShaqra UniversityShaqra-11961.Kingdom of Saudi Arabia

Objective:To investigate antidiabetic efficacy of the extract of field grown and in vitro raised leaves of Solanum xanthocarpum(***) against alloxan induced diabetic rats. Methods:The antidiabetic activity of the crude methanol extracts of the field grown and in vitro raised leaves of *** at different concentrations(100-200 mg/kg bw) was tested against alloxan induced diabetic *** antidiabetic efficacy was validated through various biochemical parameters and the antioxidant effect was also *** phytochemical analyses of field grown *** and in vitro rasied *** leaves were done by estimating their chlorophyll,carotenoids,total sugar,protein,amino acid and minerals contents. Results:The results revealed that the methanol extracts of both the leaves(field grown and in vitro raised) of *** was efficient anti hyperglycemic agents at a concentration of 200 mg/kg bw and posses potent antioxidant ***,the extracts of in vitro rasied *** raised leaves exhibit higher efficacy than the field grown leaves in all tested *** composition and mineral analysis of *** revealed higher concentration of contents in in vitro rasied *** than field grown ***. Conclusions:From the results it can be concluded that the leaves extracts of *** can be a potential candidate in treating the hyperglycemic conditions and suits to be an agent to reduce oxidative stress.

关键词： Solanum Xanthocarpum Alloxan Field grown In vitro Oxidative stress Antioxidant Hyperglycemia Hypolipidemic

A location-based fog computing optimization of energy management in smart buildings:DEVS modeling and design of connected objects

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中国计算机科学前沿:英文版 2023年第2期17卷 179-195页

作者： Abdelfettah MAATOUG Ghalem BELALEM saïd MAHMOUDI Computer Science Department Faculty of Exact and Applied SciencesUniversity of Oran 1 Ahmed Ben BellaOran 31000Algeria Science and Technology Department Faculty of Science and TechnologyUniversity of TIARETTiaret 14000Algeria Computer Science Department Faculty of EngineeringUniversity of MonsMons 7000Belgium

Nowadays,smart buildings rely on Internet of things(loT)technology derived from the cloud and fog computing paradigms to coordinate and collaborate between connected *** is characterized by low latency with a wider spread and geographically distributed nodes to support mobility,real-time interaction,and location-based *** provide optimum quality of user life in moderm buildings,we rely on a holistic Framework,designed in a way that decreases latency and improves energy saving and services efficiency with different *** EVent system Specification(DEVS)is a formalism used to describe simulation models in a modular *** this work,the sub-models of connected objects in the building are accurately and independently designed,and after installing them together,we easily get an integrated model which is subject to the fog computing *** results show that this new approach significantly,improves energy efficiency of buildings and reduces ***,with DEVS,we can easily add or remove sub-models to or from the overall model,allowing us to continually improve our designs.

关键词： smart building energy consumption IoT fog computing Framework DEVS simulation models

In vitro antimicrobial and synergistic effect of essential oil from the red macroalgae Centroceras clavulatum (C. Agardh) Montagne with conventional antibiotics

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Asian Pacific Journal of Tropical Biomedicine 2021年第9期11卷 414-420页

作者： ahmed Nafis Fatima El Khalloufi Asmae Aknaf Brahim Oudra Najat Marraiki sarah Al-Rashed Abdallah MElgorban Asad Syed Lahcen Hassani Luísa Custódio Microbiology Health and Environment TeamFaculty of Sciences Chouaïb Doukkali UniversityEl JadidaMorocco Laboratory of Chemistry Modeling and Environmental SciencesPolydisciplinary Faculty of KhouribgaSultan Moulay Slimane University of Beni MellalB.P.:14525000KhouribgaMorocco Polydisciplinary Faculty of Nador University Mohammed FirstBP 30062700NadorMorocco Laboratory of Water Biodiversity and Climate Change.Faculty of Sciences Semlalia MarrakechCadi Ayyad UniversityP.O.Box 239040000MarrakechMorocco Department of Botany and Microbiology College of ScienceKing Saud UniversityP.O.Box 2455Riyadh 11451Saudi Arabia Laboratory of Microbial Biotechnologies Agrosciencesand Environment(BioMAgE)Faculty of Sciences Semlalia MarrakechCadi Ayyad UniversityP.O.Box 239040000MarrakechMorocco Center of Marine Sciences Faculty of Sciences and TechnologyUniversity of AlgarveEd.7Campus of Gambelas8005-139 FaroPortugal

Objective:To study the chemical profile,antimicrobial properties,and synergistic effect with known antibiotics of essential oil extracted from the marine red macroalgae Centroceras clavulatum(***)Montagne,collected in ***:The chemical composition of the oil was analyzed by gas chromatography-mass *** oil was evaluated for antibacterial(Pseudomonas aeruginosa,Escherichia coli,Bacillus subtilis,Micrococcus luteus,Staphylococcus aureus,and Klebsiella pneumoniae),and antifungal activity(Candida albicans,Candida glabrata,Candida krusei,and Candida parapsilosis),by the disc diffusion *** minimum inhibitory and minimum microbicidal concentrations of the oil were determined,as well as the synergistic effects of its application combined with the antibiotics ciprofloxacin and fluconazole,by the checkerboard ***:Thirty molecules were identified in the essential oil,comprising 96.27%of the total oil *** such as carvacrol(36.06%)were the most abundant compounds,followed by caryophyllene(14.67%),endo-borneol(9.04%),pyroterebic acid(3.23%)and caryophyllene oxide(3.13%).The oil exhibited a moderate antimicrobial activity with inhibition zone diameters ranging from 9.0 to 15.0 *** minimum inhibitory concentration values varied between 0.9 and 14.7 mg/mL,and Bacillus subtilis and Escherichia coli were the more sensitive bacteria with 0.9 and 1.9 mg/mL,*** minimum microbicidal concentration values ranged from 0.4 to 14.7 mg/mL.A significant synergic action was observed when the oil was applied in combination with ciprofloxacin and fluconazole,with fractional inhibitory concentration index values ranging from 0.31 to *** was found in 80%of the combinations and a 2 to 16-fold reduction of antibiotics MIC was ***:Our findings suggest that the essential oil of Centroceras clavulatum should be further appraised for its potential use in the management of multi-drug resistant microo

关键词： Macroalgae Centroceras clavulatum(C.Agardh) Antimicrobial potential Microbial drug resistance Marine natural products Synergism with antibiotics

Cancellable Multi-Biometric Feature Veins Template Generation Based on SHA-3 Hashing

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Computers, Materials & Continua 2023年第1期74卷 733-749页

作者： salwa M.Serag Eldin ahmed Sedik Sultan S.Alshamrani ahmed M.Ayoup Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Robotics and Intelligent Machine Faculty of Artificial IntelligentKafrelsheikh UniversityEgypt Department of Information Technology College of Computer and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Electrical Communications Engineering Faculty of EngineeringMinia UniversityMinia61111Egypt

In this paper,a novel cancellable biometrics technique calledMulti-Biometric-Feature-Hashing(MBFH)is *** MBFH strategy is utilized to actualize a single direction(non-invertibility)biometric *** is a typical model security conspire that is distinguished in the utilization of this protection insurance framework in numerous sorts of biometric feature strategies(retina,palm print,Hand Dorsum,fingerprint).A more robust and accurate multilingual biological structure in expressing human loneliness requires a different format to record clients with inseparable comparisons from individual biographical *** may raise worries about their utilization and security when these spread out designs are subverted as everybody is acknowledged for another biometric *** proposed structure comprises of four sections:input multi-biometric acquisition,feature extraction,Multi-Exposure Fusion(MEF)and secure hashing calculation(SHA-3).Multimodal biometrics systems that are more powerful and precise in human-unmistakable evidence require various configurations to store a comparative customer that can be contrasted with biometric wellsprings of *** top words,biometrics graphs can’t be denied and change to another request for positive Identifications(IDs)while *** biometrics is may be the special procedure used to recognize this issue.

关键词： Feature extraction multi-biometrics SHA-3 MEF

Diagnosing Breast Cancer Accurately Based on Weighting of HeterogeneousClassification Sub-Models

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Computer Systems Science & Engineering 2022年第9期42卷 1257-1272页

作者： Majdy Mohamed Eltayeb Eltahir Tarig Mohammed ahmed Department of Information Systems College of Science&Arts at MahayilKing Khalid UniversityMuhayel Aseer62529Kingdom of Saudi Arabia Department of Information Technology Faculty of Computing and Information TechnologyKing Abdul-Aziz UniversityJeddah21589Kingdom of Saudi Arabia Department of Computer Sciences Faculty of Mathematical Sciences and InformaticsUniversity of KhartoumKhartoum11115Sudan

In developed and developing countries, breast cancer is one of the leading forms of cancer affecting women alike. As a consequence of growing lifeexpectancy, increasing urbanization and embracing Western lifestyles, the highprevalence of this cancer is noted in the developed world. This paper aims todevelop a novel model that diagnoses Breast Cancer by using heterogeneous datasets. The model can work as a strong decision support system to help doctors tomake the right decision in diagnosing breast cancer patients. The proposed modelis based on three datasets to develop three sub-models. Each sub-model worksindependently. The final diagnosis decision is taken by the three sub-models independently. The power of the model comes from the diversity checks of patientsand this reduces the risk of wrong diagnosing. The model has been developedby conducting intensive experiments. Several classification algorithms were usedto select the best one in each sub-model. As the final results, the sub-modelaccuracies were 72%, 74% and 97%.

关键词： Breast cancer data mining classification

Spirulina platensis extract improves the production and defenses of the common bean grown in a heavy metals-contaminated saline soil

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Journal of Environmental Sciences 2023年第7期129卷 240-257页

作者： Mostafa M.Rady ahmed S.Elrys Eman Selem ahmed A.A.Mohsen safaa M.A.I.Arnaout ahmed H.El-sappah Khaled A.El-Tarabily El-sayed M.Desoky Botany Department Faculty of AgricultureFayoum UniversityFayoum 63514Egypt College of Tropical Crops Hainan UniversityHaikou 570228China Soil Science Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Botany and Microbiology Department Faculty of ScienceZagazig UniversityZagazig 44511Egypt Horticulture Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Botany Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Genetics Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Department of Biology College of ScienceUnited Arab Emirates UniversityAl-Ain 15551United Arab Emirates Khalifa Center for Genetic Engineering and Biotechnology United Arab Emirates UniversityAl-Ain 15551United Arab Emirates Harry Butler Institute Murdoch UniversityMurdoch 6150Australia

Plants have to cope with several abiotic stresses,including salinity and heavymetals(HMs).Under these stresses,several extracts have been used as effective natural biostimulants,however,the use of Spirulina platensis(SP)extract(SPE)remains *** effects of SPE were evaluated as soil addition(sa)and/or foliar spraying(FS)on antioxidant defenses and HMs content of common bean grown in saline soil contaminated with ***(40 or 80 mg SPE/hill added as sa or 20 or 40 mg SPE/plant added as FS)or integrative(sa+FS)applications of SPE showed significant improvements in the following order:sa-80+FS-40>sa-80+FS-20>sa-40+FS-40>sa-40+FS-20>sa-80>sa-40>FS-40>FS-20>***,the integrative sa+FS with 40 mg SP/plant was the most effective treatment in increasing plant growth and production,overcoming stress effects and minimizing contamination of the edible *** significantly increased plant growth(74%–185%)and yield(107%–227%)by enhancing net photosynthetic rate(78.5%),stomatal conductance(104%),transpiration rate(124%),and contents of carotenoids(60.0%),chlorophylls(49%–51%),and NPK(271%–366%).These results were concurrent with the marked reductions in malondialdehyde(61.6%),hydrogen peroxide(42.2%),nickel(91%–94%),lead(80%–9%),and cadmium(74%–91%)contents due to the improved contents of glutathione(87.1%),ascorbate(37.0%),andα-tocopherol(77.2%),and the activities of catalase(18.1%),ascorbate peroxidase(18.3%),superoxide dismutase(192%),and glutathione reductase(52.2%)as reinforcing ***,this most effective treatment is recommended to mitigate the stress effects of salinity and HMs on common bean production while minimizing HMs in the edible part.

关键词： Antioxidant defense system Biostimulants Heavy metals Microalgae extracts saline soil Soil pollution