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Correction‐enabled reversible data hiding with pixel repetition for high embedding rate and quality preservation

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IET Cyber-Systems and Robotics 2024年第3期6卷 49-61页

作者： mohammad Ali Kawser Hussain Nyeem Md Abdul Wahed School of Transportation Science and Engineering Beihang UniversityBeijingChina Department of Electrical Electronic and Communication Engineering(EECE)Military Institute of Science and Technology(MIST)DhakaBangladesh

A novel correction‐enabled Pixel Repetition(PR)‐based Reversible Data Hiding(RDH)framework,featuring a new embedding scheme is *** proposed RDH scheme uses contextually redundant block pixels,generated via PR,in a two‐phase adaptive embedding process,enhancing both image quality and data embedding ***,each 2×2 block encodes 4 bits of data using new mapping conditions that facilitate seed pixel reconstruction from remaining block pixels and provide additional embedding ***,an innovative post‐embedding error correction technique,based on 2^(k)‐bit error‐correction,minimises post‐embedding distortion,further improving image *** error correction approach augments data embedding robustness,vital for applications like medical imaging,telemedicine,and digital watermarking that requires high embedding capacity with minimum possible *** proposed scheme surpasses existing state‐of‐the‐art methods in embedding ratedistortion performance,validated through subjective and objective ***,statistical analysis,including histogram and fragility testing,confirms the scheme's potential for image authentication across diverse multimedia *** correctionenabled RDH with PR offers enhanced embedding capacity and image quality preservation,making it particularly advantageous for applications requiring robust data hiding while maintaining visual fidelity.

关键词： data assimilation vision

A Review of Privacy and Security of Edge Computing in Smart Healthcare Systems: Issues, Challenges, and Research Directions

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Tsinghua Science and Technology 2024年第4期29卷 1152-1180页

作者： Ahmad Alzu’bi Ala’a Alomar Shahed Alkhaza’leh Abdelrahman Abuarqoub mohammad Hammoudeh Department of Computer Science Jordan University of Science and TechnologyIrbid 22110Jordan Cardiff School of Technologies Cardiff Metropolitan UniversityCardiff CF52YBUK Department of Information and Computer Science King Fahd University of Petroleum and MineralsDhahran 31261Kingdom of Saudi Arabia

The healthcare industry is rapidly adapting to new computing environments and technologies. With academics increasingly committed to developing and enhancing healthcare solutions that combine the Internet of Things (IoT) and edge computing, there is a greater need than ever to adequately monitor the data being acquired, shared, processed, and stored. The growth of cloud, IoT, and edge computing models presents severe data privacy concerns, especially in the healthcare sector. However, rigorous research to develop appropriate data privacy solutions in the healthcare sector is still lacking. This paper discusses the current state of privacy-preservation solutions in IoT and edge healthcare applications. It identifies the common strategies often used to include privacy by the intelligent edges and technologies in healthcare systems. Furthermore, the study addresses the technical complexity, efficacy, and sustainability limits of these methods. The study also highlights the privacy issues and current research directions that have driven the IoT and edge healthcare solutions, with which more insightful future applications are encouraged.

关键词： edge computing fog computing data privacy healthcare systems intelligent edges

Robust design of sliding mode control for airship trajectory tracking with uncertainty and disturbance estimation

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Journal of Systems Engineering and Electronics 2024年第1期35卷 242-258页

作者： WASIM Muhammad ALI Ahsan CHOUDHRY mohammad Ahmad SHAIKH Inam Ul Hasan SALEEM Faisal Department of Aeronautics and Astronautics Engineering Institute of Space TechnologyIslamabad 44000Pakistan Department of Electrical Engineering University of Engineering and TechnologyTaxila 47080Pakistan Department of Measurements and Control Systems Silesian University of TechnologyGliwice 44-101Poland The Joint Doctoral School Silesian University of TechnologyGliwice 44-100Poland

The robotic airship can provide a promising aerostatic platform for many potential *** applications require a precise autonomous trajectory tracking control for *** has a nonlinear and uncertain *** is prone to wind disturbances that offer a challenge for a trajectory tracking control *** paper addresses the airship trajectory tracking problem having time varying reference path.A lumped parameter estimation approach under model uncertainties and wind disturbances is opted against distributed *** uses extended Kalman filter(EKF)for uncertainty and disturbance *** estimated parameters are used by sliding mode controller(SMC)for ultimate control of airship trajectory *** comprehensive algorithm,EKF based SMC(ESMC),is used as a robust solution to track airship *** proposed estimator provides the estimates of wind disturbances as well as model uncertainty due to the mass matrix variations and aerodynamic model *** stability and convergence of the proposed method are investigated using the Lyapunov stability *** simulation results show that the proposed method efficiently tracks the desired *** method solves the stability,convergence,and chattering problem of SMC under model uncertainties and wind disturbances.

关键词： airship chattering extended Kalman filter(EKF) model uncertainties estimation sliding mode controller(SMC)

Geyser Inspired Algorithm:A New Geological-inspired Meta-heuristic for Real-parameter and Constrained Engineering Optimization

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Journal of Bionic Engineering 2024年第1期21卷 374-408页

作者： Mojtaba Ghasemi Mohsen Zare Amir Zahedi mohammad-Amin Akbari Seyedali Mirjalili Laith Abualigah Department of Electronics and Electrical Engineering Shiraz University of TechnologyShirazIran Department of Electrical Engineering Faculty of EngineeringJahrom UniversityJahromFrasIran Department of Electrical and Computer Engineering Tarbiat Modares UniversityTehranIran Department of Electrical and Computer Engineering University ofCyprusNicosiaCyprus Centre for Artificial Intelligence Research and Optimisation Torrens University AustraliaBrisbaneQLD 4006Australia University Research and Innovation Center Obuda University1034 BudapestHungary Department of Electrical and Computer Engineering Lebanese American UniversityByblos 13-5053Lebanon Hourani Center for Applied Scientific Research Al-Ahliyya Amman UniversityAmman 19328Jordan MEU Research Unit Middle East UniversityAmman 11831Jordan Applied Science Research Center Applied Science Private UniversityAmman 11931Jordan

Over the past years,many efforts have been accomplished to achieve fast and accurate meta-heuristic algorithms to optimize a variety of real-world *** study presents a new optimization method based on an unusual geological phenomenon in nature,named Geyser inspired Algorithm(GEA).The mathematical modeling of this geological phenomenon is carried out to have a better understanding of the optimization *** efficiency and accuracy of GEA are verified using statistical examination and convergence rate comparison on numerous CEC 2005,CEC 2014,CEC 2017,and real-parameter benchmark ***,GEA has been applied to several real-parameter engineering optimization problems to evaluate its *** addition,to demonstrate the applicability and robustness of GEA,a comprehensive investigation is performed for a fair comparison with other standard optimization *** results demonstrate that GEA is noticeably prosperous in reaching the optimal solutions with a high convergence rate in comparison with other well-known nature-inspired algorithms,including ABC,BBO,PSO,and *** that the source code of the GEA is publicly available at https://***/projects/gea.

关键词： Nature-inspired algorithms Real-world and engineering optimization Mathematical modeling Geyser algorithm(GEA)

Improvement of Surface Mechanical and Tribological Characteristics of L-PBF Processed Commercially Pure Titanium through Ultrasonic Impact Treatment

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Acta Metallurgica Sinica(English Letters) 2024年第6期37卷 1034-1046页

作者： Iman Ansarian Reza Taghiabadi Saeid Amini mohammad Hossein Mosallanejad Luca Iuliano Abdollah Saboori Department of Materials Science and Metallurgy Imam Khomeini International University(IKIU)QazvinIran Department of Mechanical Engineering University of KashanKashanIran Integrated Additive Manufacturing Center Department of Management and Production EngineeringPolitecnico di TorinoCorso Duca Degli Abruzzi 2410129TurinItaly

Multi-pass ultrasonic impact treatment(UIT)was applied to modify the microstructure and improve the mechanical and tribological characteristics at the near-surface region of commercially pure Ti(CP-Ti)specimens produced by the laser powder bed fusion(L-PBF)*** considerably refined the L-PBF process-related acicular martensites(α′-M)and produced a well-homogenized and dense surface microstructure,where the porosity content of 1-,3-,and 5-pass UITed samples was reduced by 43,60,and 67%,*** UITed samples showed an enhancement in their near-surface mechanical properties up to a depth of about 300μ*** nanoindentation results for the 3-pass UITed sample revealed an increase of about 53,45,and 220%in its nanohardness,H/E_(r),and H_(3)/E_(r)^(2)indices,*** stylus profilometry results showed that performing the UIT removed the L-PBF-related features/defects and offered a smooth *** roughness average(R_(a))and the skewness(R_(sk))of the 3-pass UITed sample were found to be lower than those of the L-PBFed sample by 95 and 223%,*** the UIT also enhanced the material ratio,where the maximum load-bearing capacity(~100%)in as-L-PBFed(as-built)and 3-pass UITed samples was obtained at 60-and 10-µm depths,*** tribological investigations showed that applying the UIT resulted in a significant reduction of wear rate and average coefficient of friction(COF)of *** instance,under the normal pressures of 0.05 and 0.2 MPa,the wear rate and COF of the 3-pass UITed sample were lower than those of the L-PBFed sample by 65 and 58%,and 20 and 17%,respectively.

关键词： Laser powder bed fusion Ultrasonic impact treatment Commercially pure Ti(CP-Ti) Surface mechanical properties Tribological properties

Er_(2)TiO_(5)@Ag nanocomposites:Enhanced photocatalysis and bacteria inactivation,and cytotoxicity

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Journal of Rare Earths 2024年第5期42卷 851-858,I0002页

作者： Mehdi Nazeri Hossein Sedaghat Reza Rafiei mohammad Amin Farzin Seyed Mostafa Hosseinpour Mashkani Department of Parasitology and Mycology Kashan University of Medical SciencesKashanIran Department of Microbiology Kashan University of Medical SciencesKashanIran General Medicine Student School of MedicineKashan University of Medical SciencesKashanIran Student Research Committee Kashan University of Medical SciencesKashanIran Institute for Biomedical Materials and Devices School of Mathematical and Physical SciencesFaculty of ScienceUniversity of Technology SydneyNSW2007Australia

In this study,we successfully synthesized Er_(2)TiO_(5)@Ag nanocomposites(NCPs) using the ultrasonicmediated sol-gel technique to create a multifunctional material with enhanced photocatalytic and antibacterial *** visible light photocatalytic activities of Er_(2)TiO_(5) nanoparticles(NPs) and Er_(2)TiO_(5)@Ag NCPs were systematically evaluated under various conditions,including different concentrations of Basic Blue 41(BB 41) dye and *** results reveal a remarkable improvement in the photocatalytic degradation efficiency of Er_(2)TiO_(5)@Ag NCPs(95%) compared to Er_(2)TiO_(5) NPs(80%).Furthermore,the antibacterial efficacy of Er_(2)TiO_(5) NPs and Er2TiO_5@Ag NCPs were extensively examined against Gram-positive and Gram-negative ***,Er_(2)TiO_(5)@Ag NCPs exhibit significantly higher minimum bactericidal concentration(MBC) values compared to Er_(2)TiO_(5) *** antibacterial effect of Er_(2)TiO_(5)@Ag NCPs is particularly pronounced against *** and Pseudomonas aeruginosa,while demonstrating moderate effects on Escherichia coli and Enterococcus *** assess the biocompatibility of the synthesized materials,we investigated their internalization by MCF-7 ***,both Er_(2)TiO_(5) NPs and Er_(2)TiO_(5)@Ag NCPs are found to be effectively internalized by the cells,suggesting their potential application in biomedical ***,our study unveils the exceptional potential of Er_(2)TiO_(5)@Ag NCPs as a dual-action solution,simultaneously possessing enhanced photocatalytic efficiency and potent antibacterial *** multifunctional nanocomposite not only outperforms Er_(2)TiO_(5) and Ag but also paves the way for innovative applications in sustainable environmental remediation and advanced biomedical technologies,promising a brighter and cleaner future.

关键词： Rare earth catalysis Nanocomposite Er_(2)TiO_(5)@Ag Antibacterial activity Photocatalysis Cytotoxicity

A multi-objective and CFD based optimization of roof-flap geometry and position for simultaneous drag and lift reduction

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Propulsion and Power Research 2024年第1期13卷 26-45页

作者： mohammad Rostamzadeh-Renani mohammadreza Baghoolizadeh S.mohammad Sajadi Reza Rostamzadeh-Renani Narjes Khabazian Azarkhavarani Soheil Salahshour Davood Toghraie Energy Department Politecnico di MilanoVia Lambruschini 4Milan 20156Italy Department of Mechanical Engineering Shahrekord UniversityShahrekord 88186-34141Iran Department of Nutrition Cihan University-ErbilKurdistan RegionIraq Department of Mechanical Engineering Jami Institute of TechnologyIsfahanIran Faculty of Engineering and Natural Sciences Istanbul Okan UniversityIstanbulTurkey Faculty of Engineering and Natural Sciences Bahcesehir UniversityIstanbulTurkey Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon Department of Mechanical Engineering Khomeinishahr BranchIslamic Azad UniversityKhomeinishahrIran

As the transport sector is responsible for the consumption of a vast proportion of the oil produced,it is mandatory to research feasible solutions to tackle this *** appli-cation of aerodynamic attachments for passiveflow control and reducing resisting aerodynamic forces such as drag and lift is one of the most practicable ways to minimize vehicle energy *** are one of the most innovative aerodynamic attachments that can enhance theflow motion in the boundary layer at the trailing edge of the *** the present paper,theflap is designed and modeled for controlling the airflow at the roof-end of a 2D Ahmed body model,inspired by the schematic of theflap at the trailing edge of the *** a result,theflap’s geometry and position from the roof-end of the car model are parameterized,which leads to having four design *** objective functions of the present study are the vehicle’s drag coefﬁcient and lift coefﬁcient.25 Design of Experiment(DOE)points are considered enabling the Box-Behnken ***,each DOE point is modeled in the computational domain,and theflow-ﬁeld around the model is simulated using Ansys Fluent *** results obtained for the DOE points are employed by different regressors,and the relation between design variables and objective functions is extracted using *** GMDH-ANN is then coupled with three types of optimization algorithms,among which the Genetic algorithm proves to have the most ideal coupling process for ***,af-ter analyzing the variations in the geometry and position of the roofflap from the car roof-end,the roof-flap with speciﬁcations of L=0.1726 m,a=5.0875°,H=0.0188 m,and d=0.241 m can optimize the car drag and lift coefﬁcients by 21.27%and 19.91%,*** present research discusses the opportunities and challenges of optimal design roof-flap geometry and its influence on car aerodynamic performance.ª2024 The *** services by Elsevier *** behal

关键词： Drag coefﬁcient Lift coefﬁcient Roofflap Computationalfluid dynamics Artiﬁcial neural

Kalman filter based on a fractional discrete-time stochastic augmented CoVid-19 model

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Journal of Biosafety and Biosecurity 2024年第2期6卷 76-98页

作者： mohammad Ghani Dwi Rantini Maryamah Data Science Technology Faculty of Advanced Technology and MultidisciplineUniversitas AirlanggaSurabaya 60115Indonesia

In this paper,we study the dynamics of the CoVid-19 outbreak in Semarang,Indonesia,using a fractional CoVid-19 *** first determine the effects of the isolation rateand infection rate b on the reproduction number R0 and infected number *** find that R0 is directly proportional to b and inversely proportional to.For V,the effect of physical distancing is not as significant as changing.Asincreases,V decreases,the number of susceptible individuals increases,the number of quarantined individuals decreases sharply,and the number of recovered individuals ***,the effect of vaccination is also *** combination of physical distancing,isolation,and vaccination has a significant impact on reducing the number of infected *** of dynamical systems allows us to understand the characteristics of our model,such as its boundedness and non-negativity,the existence of equilibrium points,the existence and uniqueness of solutions,and the local and global *** validate our fractional CoVid-19 model,we introduce the fractional extended Kalman filter(FracEKF)as a prediction method and compare the results against reported CoVid-19 *** is a modified version of the basic extended Kalman filter with a time-fractional memory *** prediction results illustrate the accuracy of this model in terms of the root mean square error(RMSE),normalized root mean square error(NRMSE),and mean absolute percentage error(MAPE)for each ***reproduces the trends observed in the reported data for the number of infected individuals,i.e.,whenincreases,the infected number ***,a higher fractional-order results in higher model ***,higher values of the process noise Qf give smaller errors,whereas higher values of the observation noise Rf produce higher *** and the fractional-order a are inversely proportional to RMSE;NRMSE,and MAPE,whereas Rf is directly proportional to RMSE;NRMSE,and MAPE

关键词： stability. fractional inverse

A Stacking Machine Learning Model for Student Performance Prediction Based on Class Activities in E-Learning

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Computer Systems Science & Engineering 2024年第5期48卷 1251-1272页

作者： mohammad Javad Shayegan Rosa Akhtari Department of Computer Engineering University of Science and CultureTehran***Iran

After the spread of COVID-19,e-learning systems have become crucial tools in educational systems worldwide,spanning all levels of *** widespread use of e-learning platforms has resulted in the accumulation of vast amounts of valuable data,making it an attractive resource for predicting student *** this study,we aimed to predict student performance based on the analysis of data collected from the OULAD and Deeds *** stacking method was employed for modeling in this *** proposed model utilized weak learners,including nearest neighbor,decision tree,random forest,enhanced gradient,simple Bayes,and logistic regression *** a trial-and-error process,the logistic regression algorithm was selected as the final learner for the proposed *** results of experiments with the above algorithms are reported separately for the pass and fail *** findings indicate that the accuracy of the proposed model on the OULAD dataset reached 98%.Overall,the proposed method improved accuracy by 4%on the OULAD dataset.

关键词： Stacking e-learning student performance prediction machine learning classification