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Automatic Extraction ofMedical Latent Variables from ECG Signals Utilizing aMutual Information-Based Technique and Capsular Neural Networks for Arrhythmia Detection

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Computers, Materials and Continua 2024年第1期81卷 971-983页

作者： hassan, abbas ali Abdali-Mohammadi, Fardin Department of Computer Engineering and Information Technology Razi University Kermanshah *** Iran

From a medical perspective, the 12 leads of the heart in an electrocardiogram (ECG) signal have functional dependencies with each other. Therefore, all these leads report different aspects of an arrhythmia. Their differences lie in the level of highlighting and displaying information about that arrhythmia. For example, although all leads show traces of atrial excitation, this function is more evident in lead II than in any other lead. In this article, a new model was proposed using ECG functional and structural dependencies between heart leads. In the prescreening stage, the ECG signals are segmented from the QRS point so that further analyzes can be performed on these segments in a more detailed manner. The mutual information indices were used to assess the relationship between leads. In order to calculate mutual information, the correlation between the 12 ECG leads has been calculated. The output of this step is a matrix containing all mutual information. Furthermore, to calculate the structural information of ECG signals, a capsule neural network was implemented to aid physicians in the automatic classification of cardiac arrhythmias. The architecture of this capsule neural network has beenmodified to perform the classification task. In the experimental results section, the proposed model was used to classify arrhythmias in ECG signals from the Chapman dataset. Numerical evaluations showed that this model has a precision of 97.02%, recall of 96.13%, F1-score of 96.57% and accuracy of 97.38%, indicating acceptable performance compared to other state-of-the-art methods. The proposed method shows an average accuracy of 2% superiority over similar works. © 2024 The Authors. Published by Tech Science Press.

关键词： Heart

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Heat transfer analysis in particle-laden flows using the immersed boundary method

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Particuology 2024年第7期90卷 394-403页

作者： ali abbas Zaidi Department of Mechanical Engineering University of Manitoba75A Chancellors CircleWinnipegR3T 5V6Canada

This paper investigates an efficient immersed boundary method(IBM)for multiple-core CPU machines with local grid refinement for the calculation of heat transfer between fluids and finite-sized *** fluid momentum equations are solved by using the fractional step method,while the energy equation is solved by employing the second-order Adams-Bashforth *** efficient load balancing between the CPU cores,the coupling between particles and fluid is obtained by applying the body force in the fluid equations,which depends on the solid volume fraction of particles contained in each grid cell,and then by linearly interpolating the particle temperature and velocity on the fluid grid cell(in place of the delta function commonly used in literature).Several test cases from the literature are studied,and good agreement is observed between the simulation results and the ***,a scaling study on multiple core machines is performed,demonstrating the proposed IBM's capabilities for a significant reduction in processing time.

关键词： Heat transfer Immersed boundary method Particle resolved direct numerical simulations Fluid solid interactions

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基于Jiles Atherton模型的SMA人工肌肉驱动平台回滞特性建模研究

基于Jiles Atherton模型的SMA人工肌肉驱动平台回滞特性建模研究

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作者： hassan abbas hassan ali 华南理工大学

学位级别：硕士

SMA（Shape Memory Alloy）actuators,a class of smart material actuators with large deformation,high strength and nanometres,have the ability to deform back to its original shape when heated or *** actuators were used in many applications such as aerospace,medical surgical instruments and robotics and received a lot of attention in the last decades because of their unique *** main advantages of SMA actuators include potentially simplified construction,High strength,Easy fabrication,Easy to sterilize,High Power/weight ratio,Light weight and so *** attributes potentially allow developing simpler,more reliable and cost-effective implementation actuating systems with a significant reduction in mechanical complexity and ***,the driving performance of the shape memory alloy actuators（SMAs）is limited due to their intrinsic hysteresis nonlinearities with a local memory,resulting from the influence of a previous input on the subsequent *** improve the activation accuracy of SMA actuators,it is necessary to characterize the input-output behaviour and design the appropriate controller to maintain system *** this thesis,the properties of SMA actuators using as artificial muscle platform are *** on the properties of saturated hysteresis in SMA actuators,a modified Jiles-Atherton model is adopted to model the input-output properties of SMA *** parameters of the modified JilesAtherton model are identified on the basis of the measured data acquired for a pair of SMA actuators in a wide frequency *** effectiveness of the modified model is testified by comparing the model output with the measured data.

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Carbon compensation and carbon neutrality:Regional variations based on net carbon transfer of trade in China

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Geoscience Frontiers 2024年第4期15卷 159-175页

作者： Xue Han Xincai Gao Fayyaz Ahmad abbas ali Chandio Salim Khan School of Economics Lanzhou UniversityLanzhou 730000GansuChina College of Economics Sichuan Agricultural UniversityChengdu 611130China School of Management Guangzhou UniversityGuangzhou 510006China

Inter-provincial carbon compensation is an important means for a country to realize regional environmental protection and achieve coordinated regional development and realize the carbon neutral *** is easier to realize inter-provincial carbon compensation compared with the national *** on the multi-regional input-output model and the input-output data of 30 provinces in China,this study measured the carbon transfer in,carbon transfer out and net carbon transfer of each province,and based on the undesirable slacks-based measurement model under the common frontier,the provinces were given the shadow price of carbon emission in line with the situation of the local economic development,resource endowment,and industrial structure,and based on which,the amount of carbon compensation of each province was *** results show that:China's provinces and regions have a larger share of trade-implied carbon emissions;the net carbon transfer in areas mainly concentrated in the traditional energy provinces,which provide industrial products for other regions and undertake the transfer of carbon emissions,and become the main carbon compensation recipient areas;the net carbon transfer out is mainly concentrated in the economically developed and densely populated areas such as Beijing-Tianjin region and the eastern and southern coasts,which satisfy the end-consumption by purchasing a large number of industrial products and generate a large amount of carbon *** out;becoming the main carbon offset payment *** on the results of this study,it is proposed to improve the national provincial carbon offset mechanism and implement a differentiated and synergistic carbon emission reduction cooperation *** research program of this study can provide a reference for the development of inter-regional carbon offset programs.

关键词： Carbon transfer Shadow price Carbon emission responsibility Carbon compensation

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Securing Cloud-Encrypted Data:Detecting Ransomware-as-a-Service(RaaS)Attacks through Deep Learning Ensemble

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Computers, Materials & Continua 2024年第4期79卷 857-873页

作者： Amardeep Singh Hamad ali Abosaq Saad Arif Zohaib Mushtaq Muhammad Irfan Ghulam abbas Arshad ali Alanoud Al Mazroa School of Computer Information Sciences University of CumberlandsWilliamsburgKentucky40769USA Computer Science Department College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Mechanical Engineering College of EngineeringKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Electrical Electronics and Computer SystemsCollege of Engineering and TechnologyUniversity of SargodhaSargodha40100Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Department of Electrical Engineering The University of LahoreLahore54000Pakistan Faculty of Computer and Information Systems Islamic University of MadinahMadinah42351Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Data security assurance is crucial due to the increasing prevalence of cloud computing and its widespread use across different industries,especially in light of the growing number of cybersecurity threats.A major and everpresent threat is Ransomware-as-a-Service(RaaS)assaults,which enable even individuals with minimal technical knowledge to conduct ransomware *** study provides a new approach for RaaS attack detection which uses an ensemble of deep learning *** this purpose,the network intrusion detection dataset“UNSWNB15”from the Intelligent Security Group of the University of New South Wales,Australia is *** the initial phase,the rectified linear unit-,scaled exponential linear unit-,and exponential linear unit-based three separate Multi-Layer Perceptron(MLP)models are ***,using the combined predictive power of these three MLPs,the RansoDetect Fusion ensemble model is introduced in the suggested *** proposed ensemble technique outperforms previous studieswith impressive performance metrics results,including 98.79%accuracy and recall,98.85%precision,and 98.80%*** empirical results of this study validate the ensemble model’s ability to improve cybersecurity defenses by showing that it outperforms individual *** expanding the field of cybersecurity strategy,this research highlights the significance of combined deep learning models in strengthening intrusion detection systems against sophisticated cyber threats.

关键词： Cloud encryption RaaS ensemble threat detection deep learning cybersecurity

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Designing single atom catalysts for exceptional electrochemical CO_(2) reduction

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Chinese Journal of Structural Chemistry 2024年第1期43卷 3-5页

作者： Muhammad Humayun Mohamed Bououdina abbas Khan Sajjad ali Chundong Wang Energy Water and Environment LabCollege of Humanities and SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia School of Integrated Circuits Wuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhan430074PR China Department of Chemistry Abdul Wali Khan University MardanMardan23200Pakistan

The release of anthropogenic CO_(2)emissions into the atmosphere has significantly accelerated global warming within the past few *** to the latest data,it is predicted that the concentration of CO_(2)will rise to 800 ppm over this century,and could reach 2000 ppm by *** high level of CO_(2)is expected to result in significant increase in global temperature as well as ocean acidification[1].

关键词： exceptional global release

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Novel synthesis of stabilized Bi_(1-x-y)Gd_(x)Dy_(y)O_(1.5) solid electrolytes with enhanced conductivity for intermediate temperature solid oxide fuel cells(SOFCs)

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Journal of Rare Earths 2024年第10期42卷 1903-1911页

作者： Ahmed H.Ibrahim Yehia M.abbas H.A.Ayoub Marwa H.ali Mustafa Aldoori Materials Science Laboratory Physics DepartmentFaculty of ScienceSuez Canal University41522IsmailiaEgypt Ministry of Higher Education and Scientific Research Aliraqia University10011BaghdadIraq

Herein,we report the synthesis of a Dy-Gd co-doped cubic phase-stabilized Bi_(2)O_(3) solid electrolyte system via solid-state processing under atmospheric *** with Dy^(3+) and Gd^(3+) has been observed to significantly enhance the densification process during sintering for stabilization purposes,thereby improving the electrical properties of δ-Bi_(2)O_(3)-type *** synthesized ceramics were characterized using X-ray diffraction(XRD),field emission scanning electron microscopy-energy dispersive X-ray spectroscopy(FESEM-EDX),thermal gravimetry/differential thermal analysis(TG/DTA),and the four-point probe technique(4PPT).XRD analysis reveals that the samples Bi_(1-x-y)Gd_(x)Dy_(y)O_(1.5)(y=0.05/x=0.05,0.10,0,15,and 0.20,and x=0.05/y=0.10,0.15,and 0.20) exhibit a stable face-centered cubic δ-phase and a mixed-phase crystallographic *** XRD analysis of the stabilized δ-phase suggests that the prepared oxides show a face-centered cubic(FCC) structure with a space group of *** micrographs reveal that the composition Bi_(0.90)Gd_(0.05)Dy_(0.05)O_(1.5) has no significant ***,an evident increase in the pore formation is observed as the amount of Gd_(2)O_(3) increases until it reaches 20%.This finding suggests that dense pellets are formed during the sintering process at 900-1000℃.The DTA analyses were performed to verify the phase stability,which agrees with the XRD *** electrochemical performance of the synthesized Dy-Gd co-doped Bi_(2)O_(3)solid electrolyte system was evaluated and analyzed in detail by using the electrochemical impedance spectroscopy(EIS) technique,Based on EIS and conductivity measurements,Bi_(0.75)Gd_(0.20)Dy_(0.05)O_(1.5) exhibits the lowest activation energy of 0.519 eV and the highest conductivity value of 0.398 S/cm at 627℃compared to the other samples;this composition can be used as a solid electrolyte for intermediatetemperature solid oxide fuel cells(SOFCs).

关键词： Solid oxide fuel cells(SOFCs) Rare earths Solid-state processing Rietveld Fast Fourier transform(FFT) Electrochemical impedance spectroscopy(EIS)

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Comparative analysis of CO_(2)emissions and economic performance in the United States and China:Navigating sustainable development in the climate change era

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Geoscience Frontiers 2024年第5期15卷 239-255页

作者： Khalid Mehmood Syed Tauseef hassan Xuchun Qiu Shahid ali Institute of Environmental Health and Ecological Security School of the Environment and Safety EngineeringJiangsu UniversityZhenjiangJiangsu 212013China Department of Trade and Finance Faculty of Economics and ManagementCzech University of Life Sciences PragueKamycka 129PrahaZIP 16500Czechia School of Economics and Management Anhui Polytechnic UniversityWuhu 241000China Jiangsu Collaborative Innovation Center of Technology and Material of Water Treatment Suzhou University of Science and TechnologySuzhou 215009China

Economic growth has brought a global climate change into the spotlight,and CO_(2)emissions demonstrate significant challenges in reducing environmental shifts ***,the United States and China contribute the largest amount of CO_(2)*** purpose of this study is to examine the relationship between different types of CO_(2)emissions and economic growth by using a modeling *** analyze total CO_(2)emissions,coal CO_(2)emissions,oil CO_(2)emissions,the global share of coal CO_(2)emissions,the global share of oil CO_(2)emissions,and economic *** study provides unique insights into how to simultaneously reduce CO_(2)emissions and sustain economic growth.A bootstrap autoregressive distributed lag(BARDL)simulation method is utilized to examine the long-and short-run effects of predictors on CO_(2)*** CO_(2)emissions are found to have a significant positive effect on economic growth in the short run but a negative impact on economic growth over the long run in the United *** United States needs to implement stronger measures to balance coal CO_(2)emissions with economic growth for sustainable *** contrast,oil CO_(2)emissions have positive effect for China in both the long run and short ***,China can continue to reduce CO_(2)emissions from oil while maintaining positive economic *** China’s policies promoting cleaner energy alternatives can be adapted and implemented to maintain a balance between economic growth and carbon *** study has valuable insights for policymakers seeking to balance economic growth with carbon reduction *** emphasizes the need to better understand the complex relationship between CO_(2)emissions and economic growth.

关键词： CO_(2)emission Sustainable development Climate change United States China BARDL

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Secure and Reliable Routing in the Internet of Vehicles Network:AODV-RL with BHA Attack Defense

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 633-659页

作者： Nadeem Ahmed Khalid Mohammadani ali Kashif Bashir Marwan Omar Angel Jones Fayaz hassan School of Electronic Science Beijing University of Post and TelecommunicationBeijing100086China Department of Computer Science Huanggang Normal UniversityHuanggangChina Department of Computing and Mathematics Manchester Metropolitan UniversityManchesterUK Woxsen School of Business Woxsen UniversityHyderabad502345India Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon Information Technology and Management Illinois Institute of TechnologyChicagoUSA College of Computing Capital Technology UniversityLaurelUSA

Wireless technology is transforming the future of transportation through the development of the Internet of Vehicles(IoV).However,intricate security challenges are intertwinedwith technological progress:Vehicular ad hoc Networks(VANETs),a core component of IoV,face security issues,particularly the Black Hole Attack(BHA).This malicious attack disrupts the seamless flow of data and threatens the network’s overall reliability;also,BHA strategically disrupts communication pathways by dropping data packets from legitimate nodes *** the importance of this challenge,we have introduced a new solution called ad hoc On-Demand Distance Vector-Reputation-based mechanism Local Outlier Factor(AODV-RL).The significance of AODVRL lies in its unique approach:it verifies and confirms the trustworthiness of network components,providing robust protection against *** additional safety layer is established by implementing the Local Outlier Factor(LOF),which detects and addresses abnormal network *** testing of our solution has revealed its remarkable ability to enhance communication in ***,Our experimental results achieve message delivery ratios of up to 94.25%andminimal packet loss ratios of just 0.297%.Based on our experimental results,the proposedmechanismsignificantly improves VANET communication reliability and *** results promise a more secure and dependable future for IoV,capable of transforming transportation safety and efficiency.

关键词： Black hole attack IoV vehicular ad hoc network AODV routing protocol

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Classification and Comprehension of Software Requirements Using Ensemble Learning

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Computers, Materials & Continua 2024年第8期80卷 2839-2855页

作者： Jalil abbas Arshad Ahmad Syed Muqsit Shaheed Rubia Fatima Sajid Shah Mohammad Elaffendi Gauhar ali School of Computer Science and Technology Anhui UniversityHefei230039China School of Computing Sciences Pak Austria FachhochschuleInstitute of Applied Sciences and TechnologyHaripur22620Pakistan Department of Computer Science and IT University of LahoreLahore55150Pakistan Department of Computer Science Emerson UniversityPunjabMultan60000Pakistan EIAS(Emerging Intelligent Autonomous Systems)Data Science Lab Prince Sultan UniversityRiyad12435Saudi Arabia

The software development process mostly depends on accurately identifying both essential and optional ***,user needs are typically expressed in free-form language,requiring significant time and human resources to translate these into clear functional and non-functional *** address this challenge,various machine learning(ML)methods have been explored to automate the understanding of these requirements,aiming to reduce time and human ***,existing techniques often struggle with complex instructions and large-scale *** our study,we introduce an innovative approach known as the Functional and Non-functional Requirements Classifier(FNRC).By combining the traditional random forest algorithm with the Accuracy Sliding Window(ASW)technique,we develop optimal sub-ensembles that surpass the initial classifier’s accuracy while using fewer *** results demonstrate that our FNRC methodology performs robustly across different datasets,achieving a balanced Precision of 75%on the PROMISE dataset and an impressive Recall of 85%on the CCHIT *** datasets consistently maintain an F-measure around 64%,highlighting FNRC’s ability to effectively balance precision and recall in diverse *** findings contribute to more accurate and efficient software development processes,increasing the probability of achieving successful project outcomes.

关键词： Ensemble learning machine learning non-functional requirements requirement engineering accuracy sliding window

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