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Location-Aware Personalized Traveler Recommender System(LAPTA)Using Collaborative Filtering KNN

Computers, Materials & Continua 2021年第11期69卷 1553-1570页

作者： mohanad al-ghobari Amgad Muneer Suliman Mohamed Fati School of Information Technology Asia Pacific UniversityKuala Lumpur57000Malaysia Department of Computer and Information Sciences Universiti Teknologi PETRONASSeri Iskandar32160Malaysia Department of Information Systems Prince Sultan UniversityRiyadh11586Saudi Arabia

Many tourists who travel to explore different cultures and cities worldwide aim to find the best tourist sites,accommodation,and food according to their *** objective makes it harder for tourists to decide and plan where to go and what to *** from hiring a local guide,an option which is beyond most travelers’budgets,the majority of sojourners nowadays use mobile devices to search for or recommend interesting sites on the basis of user ***,this work utilizes the prevalent recommender systems and mobile app technologies to overcome this ***,this study proposes location-aware personalized traveler assistance(LAPTA),a system which integrates user preferences and the global positioning system(GPS)to generate personalized and location-aware *** integration will enable the enhanced recommendation of the developed scheme relative to those from the traditional recommender systems used in customer ***,LAPTA separates the data obtained from Google locations into name and category *** the data separation,the system fetches the keywords from the user’s input according to the user’s past research *** proposed system uses the K-Nearest algorithm to match the name and category tags with the user’s input to generate personalized *** system also provides suggestions on the basis of nearby popular attractions using the Google point of interest feature to enhance system *** experimental results showed that LAPTA could provide more reliable and accurate recommendations compared to the reviewed recommendation applications.

关键词： LAPTA recommender system KNN collaborative filtering users’preference mobile application location awareness

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Effect of vertical stress rest period on deformation behaviour of unbound granular materials:Experimental and numerical investigations

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Journal of Rock Mechanics and Geotechnical Engineering 2019年第1期11卷 172-180页

作者： ali alnedawi Kali Prasad Nepal Riyadh al-Ameri mohanad alabdullah School of Engineering Deakin University

Repeated load triaxial test is used to assess the deformation behaviour of unbound granular materials(UGMs) in flexible road pavements. Repeated load pulse characteristics(i.e. shape, loading period and rest period) are the stress configurations used in the experimental set-up to simulate the passing axle loads. Some researchers and standard testing protocols suggest a rest period of varying durations after a loading phase. A thorough review of existing literature and practises has revealed that there is no agreement about the effect of the rest period of vertical stress pulse on the deformation behaviour of the UGMs. Therefore,the main objective of this study is to investigate the effect of repeated stress rest period on the deformation behaviour of UGMs experimentally. Experiments are conducted, both with and without rest period, using basalt and granite crushed rocks from Victoria, Australia. Furthermore, in order to gain insight into the effect of the rest period, finite element modelling is also developed. Both the experimental and modelling results show that the rest period has a noticeable effect on both resilient and permanent deformation behaviours of UGMs. It is, therefore, recommended to take extra precautions while adopting a particular standard testing protocol and to supplement the results by additional tests with different loading configurations.

关键词： Flexible pavement Unbound granular materials(UGMs) Repeated load triaxial test Resilient modulus Permanent deformation Finite element modelling

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Evaluation of Novel Chitosan Based Composites Coating on Wettability for Pure Titanium Implants

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Journal of Renewable Materials 2023年第4期11卷 1601-1612页

作者： Qahtan A.Hamad Hanaa A.al-Kaisy mohanad N.al-Shroofy Noor K.Faheed Materials Engineering Department University of TechnologyBaghdadIraq Petroleum Engineering Department University of MisanAmaraIraq

This work aims to prepare chitosan(CS)-based coated layers,CS(10 wt%nanosilver/90 wt%CS,10 wt%biotin/90 wt%CS,and 5 wt%nanosilver–5 wt%biotin)/90 wt%CS coatings are prepared,onto pure Ti *** surface morphology of the novel CS composite coating was studied using field emission scanning electron microscopy,atomic force microscopy(AFM),Fourier transforms infrared(FTIR)and wettability *** show that the addition of(biotin,nanosilver)5 Vol.%improves the properties of composite *** different particles’scale size aid in improving the combinations in the alginate,producing a dual effect on film *** surface roughness decreased in the chitosan-based biocomposite with preferable homogeneity and crack-free coating layers,as confirmed by *** increase in surface roughness ensured substitution,which enhanced the surface *** high wettability of the CS-based coating layers was due to the presence of nanoparticles,and the composite coatings with CS,nanosilver,or biotin had excellent wettability because of the good hydrophilic nature of the CS matrix combined with reinforced *** FTIR results showed that peaks of the blending of CS plus nanoparticles,CS plus biotin,or CS plus nanosilver plus biotin were excellent matching with no changes in the structure of the matrix.

关键词： Nano silver biotin chitosan coating bio-composite implants titanium

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Provenance and depositional setting of the Late MiocenePleistocene clastic sediments in the eastern Arabian Peninsula and western Iraq using rare earth elements geochemistry

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Acta Geochimica 2024年第2期43卷 399-410页

作者： Salih M.Awadh Zinah S.al-Ankaz mohanad R.A.al-Owaidi John S.Armstrong-altrin Department of Geology College of ScienceUniversity of BaghdadBaghdadIraq Department of Geology College of ScienceUniversity of WasitWasit 52011Iraq Department of Applied Geology College of ScienceUniversity of BabylonBabylon 51001Iraq Unidad de Procesos Oceanicos y Costeros Instituto de Ciencias del Mar y LimnologíaUniversidad Nacional Autonoma de MexicoCiudad Universitaria04510 Mexico CityCDMXMexico Department of Marine Sciences Bharathidasan UniversityTiruchirapalliTamil Nadu 620024India

The sandstones of the Late miocene–Pliocene Dibdibba Formation in the Najaf–Karbala Plateau and Basra were examined to determine their source rocks and origin. The rare earth elements(REE) and trace elements(Sc, Co, V, and Th) concentrations in these sandstones revealed that they likely derived from a single source. The steep light rare earth elements(LREE) and flat, heavy rare earth element(HREE) patterns, negative Eu anomaly, and high ΣREE contents in sandstones suggest its derivation from a suggests that a passive continental margin environment and originated from felsic source rocks. The average concentration of ΣREE is 93.5 ppm, which is lower than that of the average crustal compositions like Upper Continental Crust and Post Archean Australian Shale. The higher proportion of LREE compared to HREE implies that these sandstones were recycled and derived from a distal source. The Th/Co, Th/Sc, La/Sc, La/Co, Eu/Eu*and(La/Lu)cn elemental ratios indicated that these Late Miocene–Pliocene sandstones were derived from felsic rocks located in the marginal region of the Arabian Shield.

关键词： REE Dibdibba formation Clastic sediments Passive continental margin

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Developmental changes in contraction of gastric smooth muscle cells in rats correlate with their differences in RhoA/ROCK pathway

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The Journal of Biomedical Research 2019年第5期33卷 289-296页

作者： Othman al-Shboul Mahmoud alfaqih Ayman Mustafa Ahmed al-Dwairi Mohammad alqudah Saja Haifawi mohanad alebbini Mohammad al-Zaareer Khobaib alahmar Department of Physiology and Biochemistry Faculty of MedicineJordan University of Science and TechnologyIrbid 22110Jordan Department of Anatomy Faculty of MedicineJordan University of Science and TechnologyIrbid 22110Jordan.

Previous research has shown that smooth muscle of the stomach undergoes developmental changes in the intracellular regulatory mechanism responsible for the contractile process. Whether these developmental changes relate to differences in the expression and/or activity of the key enzymes regulating smooth muscle contraction has not been previously evaluated. Therefore, we aimed to examine the expression and activation of the small monomeric G protein "Rho A" and Rho kinase(ROCK) as well as their correlation with the contraction of gastric smooth muscle cells(GSMCs) in newborn vs. adult rats. Freshly isolated single GSMCs from Sprague-Dawley rats at 1 week(newborn) and 3 months(adult) of age were used in the study. Protein and m RNA expression levels of both ROCK2 and total Rho A were higher in adult compared to newborn rats. Moreover, acetylcholine(ACh)-induced contractions of GSMCs in adult rats were significantly higher than that in newborn animals. Meanwhile,ROCK and Rho activation was higher in adult stomach cells compared to newborn ones. Pretreatment of GSMCs with Y-27632, the ROCK inhibitor, significantly reduced ACh-induced contraction in both groups of cells and greatly abolished contractile differences. In conclusion, our results indicate that Rho A/ROCK pathway and contraction of stomach muscle cells are under developmental regulation.

关键词： stomach smooth muscle contraction Rho kinase

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Feature extraction for machine learning-based intrusion detection in IoT networks

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Digital Communications and Networks 2024年第1期10卷 205-216页

作者： mohanad Sarhan Siamak Layeghy Nour Moustafa Marcus Gallagher Marius Portmann University of Queensland BrisbaneQLD4072Australia University of New South Wales CanberraACT2612Australia

A large number of network security breaches in IoT networks have demonstrated the unreliability of current Network Intrusion Detection Systems(NIDSs).Consequently,network interruptions and loss of sensitive data have occurred,which led to an active research area for improving NIDS *** an analysis of related works,it was observed that most researchers aim to obtain better classification results by using a set of untried combinations of Feature Reduction(FR)and Machine Learning(ML)techniques on NIDS ***,these datasets are different in feature sets,attack types,and network ***,this paper aims to discover whether these techniques can be generalised across various *** ML models are utilised:a Deep Feed Forward(DFF),Convolutional Neural Network(CNN),Recurrent Neural Network(RNN),Decision Tree(DT),Logistic Regression(LR),and Naive Bayes(NB).The accuracy of three Feature Extraction(FE)algorithms is detected;Principal Component Analysis(PCA),Auto-encoder(AE),and Linear Discriminant Analysis(LDA),are evaluated using three benchmark datasets:UNSW-NB15,ToN-IoT and *** PCA and AE algorithms have been widely used,the determination of their optimal number of extracted dimensions has been *** results indicate that no clear FE method or ML model can achieve the best scores for all *** optimal number of extracted dimensions has been identified for each dataset,and LDA degrades the performance of the ML models on two *** variance is used to analyse the extracted dimensions of LDA and ***,this paper concludes that the choice of datasets significantly alters the performance of the applied *** believe that a universal(benchmark)feature set is needed to facilitate further advancement and progress of research in this field.

关键词： Feature extraction Machine learning Network intrusion detection system IoT

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Integrated Multi-Head Self-Attention Transformer model for electricity demand prediction incorporating local climate variables

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Energy and AI 2023年第4期14卷 620-644页

作者： Sujan Ghimire Thong Nguyen-Huy mohanad S.al-Musaylh Ravinesh C.Deo David Casillas-Perez Sancho Salcedo-Sanz School of Mathematics Physics and ComputingUniversity of Southern QueenslandSpringfieldQLD4300Australia Centre for Applied Climate Sciences University of Southern QueenslandToowoomba4350QLDAustralia Department of Information Technologies Management Technical CollegeSouthern Technical UniversityBasrah 61001Iraq Department of Signal Processing and Communications Universidad Rey Juan CarlosFuenlabrada28942MadridSpain Department of Signal Processing and Communications Universidad de AlcaláAlcaláde Henares28805MadridSpain

This paper develops a trustworthy deep learning model that considers electricity demand(G)and local climate *** model utilises Multi-Head Self-Attention Transformer(TNET)to capture critical information from𝐻,to attain reliable predictions with local climate(rainfall,radiation,humidity,evaporation,and maximum and minimum temperatures)data from Energex substations in Queensland,*** TNET model is then evaluated with deep learning models(Long-Short Term Memory LSTM,Bidirectional LSTM BILSTM,Gated Recurrent Unit GRU,Convolutional Neural Networks CNN,and Deep Neural Network DNN)based on robust model assessment *** Kernel Density Estimation method is used to generate the prediction interval(PI)of electricity demand forecasts and derive probability metrics and results to show the developed TNET model is accurate for all the *** study concludes that the proposed TNET model is a reliable electricity demand predictive tool that has high accuracy and low predictive errors and could be employed as a stratagem by demand modellers and energy policy-makers who wish to incorporate climatic factors into electricity demand patterns and develop national energy market insights and analysis systems.

关键词： Electricity demand forecasting Sustainable energy Artificial Intelligence Deep learning Transformer Networks Kernel Density Estimation

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Enhancing IoT Data Security with Lightweight Blockchain and Okamoto Uchiyama Homomorphic Encryption

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1731-1748页

作者： mohanad A.Mohammed Hala B.Abdul Wahab Computer Science Department The University of TechnologyBaghdadIraq

Blockchain technology has garnered significant attention from global organizations and researchers due to its potential as a solution for centralized system ***,the Internet of Things(IoT)has revolutionized the Fourth Industrial Revolution by enabling interconnected devices to offer innovative services,ultimately enhancing human *** paper presents a new approach utilizing lightweight blockchain technology,effectively reducing the computational burden typically associated with conventional blockchain *** integrating this lightweight blockchain with IoT systems,substantial reductions in implementation time and computational complexity can be ***,the paper proposes the utilization of the Okamoto Uchiyama encryption algorithm,renowned for its homomorphic characteristics,to reinforce the privacy and security of IoT-generated *** integration of homomorphic encryption and blockchain technology establishes a secure and decentralized platformfor storing and analyzing sensitive data of the supply chain *** platformfacilitates the development of some business models and empowers decentralized applications to perform computations on encrypted data while maintaining data *** results validate the robust security of the proposed system,comparable to standard blockchain implementations,leveraging the distinctive homomorphic attributes of the Okamoto Uchiyama algorithm and the lightweight blockchain paradigm.

关键词： Blockchain IoT integration of IoT and blockchain consensus algorithm Okamoto Uchiyama homomorphic encryption lightweight blockchain

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The prevalence of toxoplasmosis among female patients in al-Hawija and al-Baiji Districts in Iraq

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Open Journal of Epidemiology 2013年第2期3卷 85-88页

作者： Mohemid al-Jebouri mohanad al-Janabi Hassan Ismail Department of Medicine College of Medicine University of Tikrit Tikrit Iraq Department of Microbiology College of Medicine University of Tikrit Tikrit Iraq

Objectives: Toxoplasma gondii is a ruthless intracellular parasite belonging to Coccidae. Toxoplasmosis is a disease affecting 500 million people worldwide. The seroprevalence varies from 5% to 90% depending on geographical location, age, habit of eating, raw meat or unwashed fruit and vegetables, and general level of hygiene. The objective of the current study was to assess the prevalence of this parasitic disease which lately seems to be elevated generally in Iraq and particularly in the middle and northern Iraq. A prospective study was carried out on females which attended public hospitals?complaining of abortion and/ or infertility during 2009. Methods: We collected blood samples from the female patients to detect the presence of specific antibodies of Toxoplasma gondii utilizing direct agglutination test which was compared with ELISA techniques for evaluations of their testing sensitivity. The history of all patients was taken particularly abortion and marriage periods with and/ or without children with the family. Results: Direct latex agglutination test and ELISA methodology gave almost the same results when both were utilized for the detection of the toxoplasmosis in the sera of the women examined. A high frequency of toxoplasmosis incidence was seen among women with one abortion group which happen during their marital life. Conclusions: It was concluded that the high prevalence of toxoplasmosis among the investigated high risk women at al-Hawija and at al-Baiji districts is due to many risk factors including age, number of deliveries, contact with host animals. This disease was elevated after Iraq occupation with a frequency of infection more than 40% compared to eighties of Iraqi life which was the frequency of the infected women with toxoplasmosis which did not exceed 2% of the women tested at that time by our laboratories.

关键词： Toxoplasmosis Females Abortion Infertility Iraq

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A robust protocol to compute wind load coefficients of telecommunication towers and antennas using numerical simulation for risk and resilience assessment

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Resilient Cities and Structures 2024年第1期3卷 66-83页

作者： mohanad Khazaali Liyang Ma Keivan Rokneddin Matteo Mazzotti Paolo Bocchini Research Engineer Extreme Event Solutions at VeriskLafayette City CenterBostonMA 02111USA Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of TechnologyHarbin 150090PR China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of TechnologyHarbin 150090PR China Senior Research Scientist RenaissanceRe Risk SciencesUSA Research Associate P.M.Rady Department of Mechanical EngineeringUniversity of Colorado Boulder1111 Engineering Dr UCB 427BoulderCO 80309USA Professor Dept.of Civil and Environmental EngineeringLehigh University117 ATLSS DrBethlehemPA 18015-4729.USA Director Catastrophe Modeling CenterLehigh UniversityBethlehemPAUSA

An accurate estimation of wind loads on telecommunication towers is crucial for design,as well as for perform-ing reliability,resilience,and risk *** particular,drag coefficient and interference factor are the most significant factors for wind load *** tunnel tests and computational fluid dynamics(CFD)are the most appropriate methods to estimate these *** wind tunnel tests are generally preferred in practice,they require dedicated facilities and personnel,and can be expensive if multiple configurations of tower panels and antennas need to be tested under various wind directions(e.g.,fragility curve development for system resilience analysis).This paper provides a simple,robust,and easily accessible CFD protocol with widespread applicability,offering a practical solution in situations where wind tunnel testing is not feasible,such as complex tower configurations or cases where the cost of running experiments for all the tower-antennas configurations is prohibitively *** turbulence models,structural and fluid boundary conditions and mesh types are tested to provide a streamlined CFD modeling strategy that shows good convergence and balances accuracy,computational time,and *** protocol is calibrated and validated with experimental studies available in the *** demonstrate the capabilities of the protocol,three lattice tower panels and antennas with different configurations are analyzed as *** protocol successfully estimates the drag and lateral wind loads and their coefficients under different wind *** differences are observed between the esti-mated wind loads with this protocol and those computed by a simple linear superposition used in most practical applications,indicating the importance of tower-antenna ***,as expected,the wind loads recom-mended by design codes overestimate the simulated *** importantly,the telecommunication design codes inadequate

关键词： Generalized CFD protocol Lattice tower Tower panel Microwave antenna Wind coefficients Tower-antenna interaction

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