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Data-Driven Healthcare:The Role of Computational Methods in Medical Innovation

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 1-48页

作者： Hariharasakthisudhan Ponnarengan Sivakumar Rajendran Vikas Khalkar Gunapriya Devarajan Logesh Kamaraj Department of Mechanical Engineering Dr.Mahalingam College of Engineering and TechnologyPollachiCoimbatoreTamil Nadu642003India Department of Mechanical Engineering JKKN College of Engineering and TechnologyKumarapalayamNamakkalTamil Nadu637209India Department of Mechanical Engineering Gharda Institute of TechnologyLavelMaharashtra415708India Department of electrical and electronics Engineering Sri Eshwar College of EngineeringCoimbatoreTamilnadu641202India Department of Mechanical Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai600062India

The purpose of this review is to explore the intersection of computational engineering and biomedical science,highlighting the transformative potential this convergence holds for innovation in healthcare and medical *** review covers key topics such as computational modelling,bioinformatics,machine learning in medical diagnostics,and the integration of wearable technology for real-time health *** findings indicate that computational models have significantly enhanced the understanding of complex biological systems,while machine learning algorithms have improved the accuracy of disease prediction and *** synergy between bioinformatics and computational techniques has led to breakthroughs in personalized medicine,enabling more precise treatment ***,the integration of wearable devices with advanced computational methods has opened new avenues for continuous health monitoring and early disease *** review emphasizes the need for interdisciplinary collaboration to further advance this *** research should focus on developing more robust and scalable computational models,enhancing data integration techniques,and addressing ethical considerations related to data privacy and *** fostering innovation at the intersection of these disciplines,the potential to revolutionize healthcare delivery and outcomes becomes increasingly attainable.

关键词： Computational models biomedical engineering bioinformatics machine learning wearable technology

Task Offloading and Trajectory Optimization in UAV Networks:A Deep Reinforcement Learning Method Based on SAC and A-Star

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Computer Modeling in Engineering & Sciences 2024年第11期141卷 1243-1273页

作者： Jianhua Liu Peng Xie Jiajia Liu Xiaoguang Tu Institute of electronics and electrical Engineering Civil Aviation Flight University of ChinaDeyang618307China

In mobile edge computing,unmanned aerial vehicles(UAVs)equipped with computing servers have emerged as a promising solution due to their exceptional attributes of high mobility,flexibility,rapid deployment,and terrain *** attributes enable UAVs to reach designated areas,thereby addressing temporary computing swiftly in scenarios where ground-based servers are overloaded or ***,the inherent broadcast nature of line-of-sight transmission methods employed by UAVs renders them vulnerable to eavesdropping ***,there are often obstacles that affect flight safety in real UAV operation areas,and collisions between UAVs may also *** solve these problems,we propose an innovative A*SAC deep reinforcement learning algorithm,which seamlessly integrates the benefits of Soft Actor-Critic(SAC)and A*(A-Star)*** algorithm jointly optimizes the hovering position and task offloading proportion of the UAV through a task offloading ***,our algorithm incorporates a path-planning function that identifies the most energy-efficient route for the UAV to reach its optimal hovering *** approach not only reduces the flight energy consumption of the UAV but also lowers overall energy consumption,thereby optimizing system-level energy *** simulation results demonstrate that,compared to other algorithms,our approach achieves superior system ***,it exhibits an average improvement of 13.18%in terms of different computing task sizes,25.61%higher on average in terms of the power of electromagnetic wave interference intrusion into UAVs emitted by different auxiliary UAVs,and 35.78%higher on average in terms of the maximum computing frequency of different auxiliary *** for path planning,the simulation results indicate that our algorithm is capable of determining the optimal collision-avoidance path for each auxiliary UAV,enabling them to safely reach their designated endpoints in div

关键词： Mobile edge computing SAC communication security A-Star UAV

The detection method of low-rate DoS attack based on multi-feature fusion

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Digital Communications and Networks 2020年第4期6卷 504-513页

作者： Liang Liu Huaiyuan Wang Zhijun Wu Meng Yue college of electronics Information and Automation Civil Aviation University of ChinaChina

As a new type of Denial of Service(DoS)attacks,the Low-rate Denial of Service(LDoS)attacks make the traditional method of detecting Distributed Denial of Service Attack(DDoS)attacks useless due to the characteristics of a low average rate and *** features extracted from the network traffic,a new detection approach based on multi-feature fusion is proposed to solve the problem in this *** attack feature set containing the Acknowledge character(ACK)sequence number,the packet size,and the queue length is used to classify normal and LDoS attack *** feature is digitalized and preprocessed to fit the input of the K-Nearest Neighbor(KNN)classifier separately,and to obtain the decision contour *** a posteriori probability in the matrix is fused,and the fusion decision index D is used as the basis of detecting the LDoS *** proved that the detection rate of the multi-feature fusion algorithm is higher than those of the single-based detection method and other algorithms.

关键词： Low-rate denial of service attacks Attack features KNN classifier Multi-feature fusion

Applications of modularized circuit designs in a new hyper-chaotic system circuit implementation

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Chinese Physics B 2015年第2期24卷 78-86页

作者：王蕊孙辉王杰智王鲁王晏超 Tianjin Key Laboratory for Civil Aircraft Airworthiness and Maintenance Department of Electrical EngineeringCollege of Aeronautical AutomationCivil Aviation University of China Department of electrical Engineering College of Aeronautical AutomationCivil Aviation University of China college of Science Civil Aviation University of China Shandong GUOQIANG Hardware Technology Co. Ltd China Eastern Airlines Corporation Limited

Modularized circuit designs for chaotic systems are introduced in this ***,a typical improved modularized design strategy is proposed and applied to a new hyper-chaotic system circuit *** this paper,the detailed design procedures are *** simulations and physical experiments are conducted,and the simulation results are compared with Matlab simulation results for different system parameter *** results are consistent with each other and they verify the existence of the hyper-chaotic attractor for this new hyper-chaotic system.

关键词： modularized circuit design hyper-chaotic systems Multisim uniform compression transformation

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Unified MPPT Controller for Partially Shaded Panels in a Photovoltaic Array

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International Journal of Automation and computing 2014年第5期11卷 536-542页

作者： R.Sridhar S.Jeevananthan S.S.Dash N.T.Selvan Department of electrical and electronics Engineering SRM University Department of electrical and electronics Engineering Pondicherry Engineering College

The power output of the photovoltaic(PV) system having multiple arrays gets reduced to a great extent when it is partially shaded due to environmental hindrances. The maximum power trackers which are conventionally used may not be competent enough to find the maximum power point(MPP) during partially shaded conditions. The sensible reason for the failure of conventional trackers is during partial shaded conditions the PV arrays exhibit multi peak power curves, thereby making simple maximum power point tracking(MPPT) algorithms like perturb and observe(P&O) to get stuck with local maxima instead of capturing global ***, global search MPPT aided by evolutionary and swarm intelligence algorithms will be conducive to find global power point during partially shaded conditions. This work suggests a unified controller which feeds control signal to its power electronic conditioner placed at each module. The evolutionary algorithm which is taken into consideration in this work is differential evolution(DE).The performance of the proposed method is compared to the classical un-dimensional search controller and it is evident from the Matlab/Simulink results that the unified controller prevails over the distributed counterpart.

关键词： Maximum power point tracking (MPPT) solar energy photovoltaic (PV) differential evolution (DE) solar power generation evolutionary algorithm soft computing

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Efficient Single-Stage Bridgeless AC to DC Converter Using Grey Wolf Optimization

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Computer Systems Science & Engineering 2022年第11期43卷 487-499页

作者： Prema Kandasamy K.Prem Kumar Department of electrical and electronics Engineering Thangavelu Engineering CollegeChennai-600097India Department of electrical and electronics Engineering Rajalakshmi Engineering CollegeChennai-602105India

Bridgeless single-stage converters are used for efficient(alternative current)AC-(direct current)DC *** converters control generators,likeelectromagnetic meso-and micro-scale generators with low *** factorcorrection helps increase the factor of the power *** main advantage ofthe power factor is it shapes the input current for increasing the real power of theAC *** this paper,a two-switch bridgeless rectifier topology is designedwith a power factor correction *** the proposed converter topologyto have good power quality parameters,the closed loop scheme,which uses thegrey wolf optimization(GWO)algorithm,is *** successes ofGWO encourage this research to implement GWO in the *** performanceof the proposed topology is analyzed under different load *** is carried out using the MATLAB/Simulink environment,and theresults are compared with those of conventional(proportional integral derivative)PID and(particle swarm optimization)PSO *** validate the simulation results,a 350-W hardware prototype is implemented,and the voltage ripple,efficiency,and power factor under different load conditions are analyzed and *** comparative study clearly indicates that the proposed convertertopology with a closed loop control scheme using the GWO algorithm improves the power factor to 0.9732 and reduces the voltage ripple to 0.12%with a conversion efficiency of 98.25%.

关键词： Bridgeless AC converter DC converter GWO controller power factor

Use of Voltage Limits for Current Limitations in Grid-forming Converters

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CSEE Journal of Power and Energy Systems 2020年第2期6卷 259-269页

作者： Junru Chen Federico Prystupczuk Terence O’Donnell School of electrical and electronics Engineering University College DublinIreland

Renewable generation interfaced through gridforming converters are proposed as a replacement for synchronous generators in power ***,compared to the synchronous generator,the power electronics converter has a strict limit on the current to avoid overcurrent *** gridforming converter acts like a voltage source,directily controlling the *** conflicts with the operation of the conventional current limit control,which is applied to a current *** switch between the voltage control and current control aimed to impose the current limit leads to synchronization *** paper proposes a novel control scheme which can be applied to the grid forming voltage control in order to enforce current *** proposed method has been verified through simulation and hardware tests in both symmetrical and asymmetrical faults to perform current suppression while maintaining synchronization stability in the voltage control mode.

关键词： Angle-power curve current limit grid-forming converter voltage limit

Threat evaluation method of warships formation air defense based on AR(p)-DITOPSIS

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Journal of Systems Engineering and electronics 2019年第2期30卷 297-307页

作者： SUN Haiwen XIE Xiaofang Coastal Defense college Naval Aviation University

For the target threat evaluation of warships formation air defense, the sample data are frequently insufficient and even incomplete. The existing evaluation methods rely too much on expertise and are difficult to carry out for the dynamic evaluation on time series. In order to solve these problems, a threat evaluation method based on the AR(p)(auto regressive(AR))-dynamic improved technique for order preference by similarity to ideal solution(DITOPSIS) method is proposed. The AR(p) model is adopted to predict the missing data on the time series. Then, the entropy weight method is applied to solve each index weight at the objective point. Kullback-Leibler divergence(KLD) is used to improve the traditional TOPSIS, and to carry out the target threat evaluation. The Poisson distribution is used to assign the weight *** results show that the improved AR(p)-DITOPSIS threat evaluation method can synthetically take into account the target threat degree in time series and is more suitable for the threat evaluation under the condition of missing the target data than the traditional TOPSIS method.

关键词： AR(p) model Kullback-Leibler divergence (KLD) dynamic improved technique for order preference by similarity to ideal solution (DITOPSIS) time series threat evaluation

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Durability Testing of Composite Aerospace Materials Based on a New Polymer Carbon Fiber-Reinforced Epoxy Resin

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Fluid Dynamics & Materials Processing 2023年第9期19卷 2315-2327页

作者： Jinlong Shang School of Mechanical and electrical Engineering Sanya Aviation&Tourism CollegeSanya572000China

In this study,the durability of a new polymer carbonﬁber-reinforced epoxy resin used to produce composite material in the aerospaceﬁeld is investigated through analysis of the corrosion phenomena occurring at the microscopic scale,and the related infrared spectra and thermal *** is found that light and heat can con-tribute to the aging *** particular,the longitudinal tensile strength displays a non-monotonic trend,i.e.,itﬁrst increases and then decreases over *** contrast,the longitudinal compressive and inter-laminar shear strengths do not show signiﬁcant *** is also shown that the inter-laminar shear strength of carbonﬁber/epoxy resin composites with inter-laminar hybrid structure is better than that of pure carbonﬁber *** related resistance to corrosion can be improved by more than 41%.

关键词： Polymer aerospace materials corrosion carbonﬁber composite material epoxy resin mechanical properties thermal analysis