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hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks

International Journal of Cognitive Computing in Engineering 2025年 6卷 333-350页

作者： Li, Guo Sheng, Hongyu State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of China Chengdu610054 China College of Robotics Beijing Union University Beijing 100101 China

This study presents a machine learning-based approach to forecast Allocative Localization Error (ALE) in Wireless Sensor Networks (WSNs), addressing challenges such as dynamic network topologies and resource constraints. The approach utilizes Radial Basis Function (RBF) models enhanced with advanced optimization algorithms, including Coot optimization Algorithm (COA), Smell Agent optimization (SAO), and Northern Goshawk optimization (NGO) to improve ALE prediction accuracy. hybrid models (RBCO, RBSO, and RFNG) are developed by integrating these optimization techniques, which refine critical RBF parameters, such as spread and center selection, through iterative optimization. Furthermore, an ensemble framework (RSNC) combines all three optimizers with RBF to achieve superior performance. The proposed methods are validated using R2 and RMSE metrics, demonstrating their ability to minimize ALE, optimize resource allocation, and extend network lifespans. The study highlights the practical applicability of these models in real-world scenarios, such as environmental monitoring and industrial automation, offering enhanced efficiency and economic benefits. The RFNG model, in particular, achieved the lowest Mean Absolute Relative Error (MARE) of 0.049, demonstrating superior performance compared to other approaches in the test section. Moreover, RBNG obtained 0.069 and 0.978 values for the RMSE and R2, respectively, which were the most suitable values compared to other models, namely RBGO, RBSO, RSNC, and RBF. The results indicate that the proposed hybrid models significantly improve the prediction of ALE, leading to more efficient node deployment and better network management. This research provides valuable insights into leveraging machine learning for WSN optimization, benefiting researchers, network engineers, and industries relying on sensor networks for applications such as environmental monitoring, smart cities, and asset tracking. © 2025

关键词： Radial basis function networks

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BIOMECHANICAL IDENTIFICATION AND SIMULATION OF PASSIVE ANKLE JOINTS IN ANYBODY 38

BIOMECHANICAL IDENTIFICATION AND SIMULATION OF PASSIVE ANKLE...

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38th ECMS International Conference on modelling and Simulation, ECMS 2024

作者： Kleppe, Adam L. Shayestehpour, Mohammadamin Bjelland, Øystein Cyber-Physical Systems Laboratory Department of ICT and Natural Sciences NTNU - Norwegian University of Science and Technology Norway

Virtual biomechanical simulation models enable safe exploration of new treatment methods. This paper presents a data-driven force-dependent kinematics model within the AnyBody modeling system that simulates biomechanical stability of the passive ankle complex. A simulation model was developed in AnyBody based on the Twente Lower Extremity Model, and model parameters were identified by using a sequential least squares quadratic programming optimization method with results from ex vivo biomechanical experiments. The final root mean squared error was 2.29 degrees for rotation tests, and 0.26 mm for the lateral translation test. ©ECMS Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev (Editors) 2024.

关键词： Quadratic programming

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Causal reasoning in typical computer vision tasks

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Science China(Technological Sciences) 2024年第1期67卷 105-120页

作者： ZHANG KeXuan SUN QiYu ZHAO ChaoQiang TANG Yang Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China National Key Laboratory of Air based Information Perception and Fusion Luoyang 471000China Luoyang Institute of Electro Optical Equipment of Avic Luoyang 471000China

Deep learning has revolutionized the field of artificial *** on the statistical correlations uncovered by deep learning-based methods,computer vision tasks,such as autonomous driving and robotics,are growing *** being the basis of deep learning,such correlation strongly depends on the distribution of the original data and is susceptible to uncontrolled *** the guidance of prior knowledge,statistical correlations alone cannot correctly reflect the essential causal relations and may even introduce spurious *** a result,researchers are now trying to enhance deep learningbased methods with causal *** theory can model the intrinsic causal structure unaffected by data bias and effectively avoids spurious *** paper aims to comprehensively review the existing causal methods in typical vision and visionlanguage tasks such as semantic segmentation,object detection,and image *** advantages of causality and the approaches for building causal paradigms will be *** roadmaps are also proposed,including facilitating the development of causal theory and its application in other complex scenarios and systems.

关键词： causal reasoning computer vision tasks vision-language tasks semantic segmentation object detection

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optimization of flow paths of air-cooled heat exchangers

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International Journal of Energy for a Clean Environment 2023年第4期24卷 53-65页

作者： Kumar, Rahul Krishnapillai, Shankar Venkatarathnam, G. Refrigeration and Air Conditioning Laboratory Department of Mechanical Engineering Indian Institute of Technology Madras Chennai600036 India Machine Design Section Department of Mechanical Engineering Indian Institute of Technology Madras Chennai600036 India

There is worldwide interest in improving the flow circuits used in air-cooled heat exchangers used in air conditioning systems. Most authors have employed variants of the genetic algorithm method to optimize flow circuits. This paper presents the results obtained with a new approach that treats the optimization of flow paths as the equivalent of the travelling salesman problem. The results show that the ant colony optimization method employed in the travelling salesman problem effectively finds optimal solutions. The objective function is modified to limit the pressure drop on the tube side. The modified objective function can be employed in other methods as well. The method has application in the optimization of flow paths of complex heat exchangers used in refrigeration and air conditioning systems. © 2023 Begell House Inc.. All rights reserved.

关键词： Traveling salesman problem

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New method for multibody dynamics based on unknown constraint force

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Science China(Technological Sciences) 2024年第3期67卷 791-808页

作者： TIAN Ying JIA YingHong ZHANG Jun School of Astronautics Beihang UniversityBeijing 100191China Beijing Institute of Control Engineering Beijing 100190China National Laboratory of Space Intelligent Control Beijing 100190China

This paper presents a new method for the dynamics of multibody systems based on unknown constraint force. The method can uniformly solve multibody systems with typical configurations, including the system with rigid-flexible coupling, the system in tree topology, and the system with loop constraints. Unlike common methods, the proposed method can model the loop system without “cutting off” loop constraints, leading to the exact same modelling process as the tree-like system performs. Based on graph theory, a topological record matrix M_(rec) is proposed to capture the arbitrary system configuration. Moreover, constraint forces are selected as the key variables in semi-recursive framework. With the recursive kinematics relationship between adjacent bodies, the constraint force equation is further assembled to achieve the full-state system solution. The numerical simulations demonstrate the accuracy of the proposed method.

关键词： multibody system dynamic modelling rigid-flexible coupling unknown constraint force graph theory semi-recursive algorithm

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Tuning microstructures of TC4 ELI to improve explosion resistance

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Defence Technology（防务技术） 2024年第3期33卷 78-99页

作者： Changle Zhang Yangwei Wang Lin Wang Zixuan Ning Guoju Li Dongping Chen Zhi-Wei Yan Yuchen Song Xucai Wang School of Materials Science and Engineering Beijing Institute of TechnologyBeijing 100081China National Key Laboratory of Science and Technology on Materials under Shock and Impact Beijing 100081China State Key Laboratory of Explosive Science and Technology Beijing Institute of TechnologyBeijing 100081China Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China School of Aeronautical Engineering Zhengzhou University of AeronauticsHenan ProvinceZhengzhou 450046China Shanxi Jiangyang Chemical Co. Ltd.Shanxi ProvinceTaiyuan 030041China Shandong Institute of Non-metallic Materials Shandong ProvinceJinan 250031China

A reasonable heat treatment process for TC4 ELI titanium alloy is crucial to tune microstructures to improve its explosion ***,there is limited investigation on tuning microstructures of TC4 ELI to improve explosion ***,the current challenge is quantifying microstructural changes'effects on explosion resistance and incorporating microstructural changes into finite element *** work aims to tune microstructures to improve explosion resistance and elucidate their anti-explosion mechanism,and find a suitable method to incorporate microstructural changes into finite element *** this work,we systematically study the deformation and failure characteristics of TC4 ELI plates with varying microstructures using an air explosion test and LS-DYNA finite element *** Johnson-Cook(JC)constitutive parameters are used to quantify the effects of microstructural changes on explosion resistance and incorporate microstructural changes into finite element *** of the heat treatment,one plate has equiaxed microstructure and the other has bimodal *** convex of the plate after the explosion has a quadratic relationship with the charge mass,and the simulation results demonstrate high reliability,with the error less than 17.5%.Therefore,it is feasible to obtain corresponding JC constitutive parameters based on the differences in microstructures and mechanical properties and characterize the effects of microstructural changes on explosion *** bimodal target exhibits excellent deformation *** response of bimodal microstructure to the shock wave may be more intense under explosive *** well-coordinated structure of the bimodal target enhances its resistance to deformation.

关键词： Microstructure Finite element modelling Parameter optimization Failure characteristics Explosion resistance

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Numerical modelling of gas outburst from coal:a review from control parameters to the initiation process

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国际煤炭科学技术学报（英文版） 2023年第6期10卷 1-35页

作者： Fatemeh Soleimani Guangyao Si Hamid Roshan Jian Zhang School of Minerals and Energy Resources Engineering University of New South WalesSydneyNSW 2052Australia State Key Laboratory Cultivation Base for Gas Geology and Gas Control Henan Polytechnic UniversityJiaozuo 454003China School of Safety Science and Engineering Henan Polytechnic UniversityJiaozuo 454003China

Among all methods for investigating the complex phenomenon of the coal and gas outburst,numerical modelling is the most comprehensive one that can consider all involved parameters and simulate the complex multi-physical *** main aim of this paper is to review recent numerical modelling studies concerning this disastrous phenomenon observed in coal *** paper aims to analyse these studies comprehensively and identify any existing research gaps that could be addressed in future research *** this end,the concepts and equations that have been used in previous studies to simulate the solid and fluid behaviour during outburst initiation and how these equations are coupled to consider multiphysi-cal interactions were *** strengths and deficiencies in past outburst modelling work were ***,potential research topics for future studies were discussed in three categories;looking into the outburst phenomenon in the scale of the particles which is mostly focused on the discrete element method,conservation of the energy as a method to quantitively assess outburst initiation,and the application of statistics in both applying the heterogeneity in the models and assessing the possibility of the outburst occurrence.

关键词： Coal and gas outburst Numerical modelling Finite element method (FEM) Coupled simulation

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modelling and Optimal Allocation of CCHP-Integrated-Energy-System Considering Low-Carbon and Economic Benefits: methods and Vision 6

Modelling and Optimal Allocation of CCHP-Integrated-Energy-S...

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6th International Conference on Energy systems and Electrical Power, ICESEP 2024

作者： Li, Maodong Lao, Kengweng Lu, Wentao University of Macau State Key Laboratory of Internet of Things for Smart City Department of Electrical and Computer Engineering China School of Information Science and Technology Fudan University Shanghai China

ISBN: (纸本)9798350353563

Along with the development of smart energy, we take typical integrated energy systems (IES) into research considering various coupling modes and constraints, building a model of the IES for combined cooling, heating and power system, and propose the using of gas micro-turbine as a power supply. On this basis, the three dimension particle swarm optimization algorithm is applied to conduct operational and management research in one typical day, which provides a reference for the economic and low-carbon planning and operation of the IES, moreover demonstrates the superiority and effectiveness of the integrated energy systems compared to the traditional discrete energy systems. Furthermore, the paper gives the effective steps of allocation and optimization methods and vision of integrated energy systems. © 2024 IEEE.

关键词： Energy development

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Ultra-fast 3D printing of assembly——free complex optics with sub-nanometer surface quality at mesoscale

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International Journal of Extreme Manufacturing 2023年第3期5卷 585-595页

作者： Shuai Peng Jiawen Xu Dongya Li Jun Ren Meng Zhang Xiaolong Wang Yu Liu School of Mechanical Engineering Jiangnan University214122WuxiPeople’s Republic of China Jiangsu Key Lab of Advanced Food Manufacturing Equipment and Technology Jiangnan University214122 WuxiPeople’s Republic of China State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical PhysicsChinese Academy of Sciences730000 LanzhouPeople’s Republic of China

complex-shaped optical lenses are of great interest in the areas of laser processing,machine vision,and optical ***,the processing of complex optical lenses is usually achieved by precision machining combined with post-grinding or polishing,which is expensive,labor-intensive and difficult in the processing of ultra-complex optical *** manufacturing is an emerging technology that provides significant advantages in producing highly intricate optical ***,the layer-by-layer method employed in such manufacturing processes has resulted in low printing speeds,as well as limitations in surface *** address these challenges,we apply tomographic volumetric printing(TVP)in this work,which can realize the integrated printing of complex structural models without *** coordinating the TVP and the meniscus equilibrium post-curing methods,ultra-fast fabrication of complex-shaped lenses with sub-nanometric roughness has been achieved.A2.5 mm high,outer diameter 9 mm spherical lens with a roughness value of RMS=0.3340 nm is printed at a speed of 3.1×10^(4)mm^(3)h^(-1).As a further demonstration,a complex-shaped fly-eye lens is fabricated without any part *** designed spherical lens is mounted on a smartphone’s camera,and the precise alignments above the circuit board are *** further optimization,this new technology demonstrates the potential for rapid fabrication of ultra-smooth complex optical devices or systems.

关键词： tomographic volumetric printing meniscus equilibrium post-curing methods spherical lens sub-nanometric roughness

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hybrid optimization Algorithm in the Photometric Inversion of Periods for Asteroids

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Research in Astronomy and Astrophysics 2023年第5期23卷 66-77页

作者： Xin-Ran Li Yong-Xiong Zhang Hai-Bin Zhao Xiaoping Zhang Xiao-Ping Lu State Key Laboratory of Lunar and Planetary Sciences Macao University of Science and TechnologyMacao 999078China School of Computer Science and Engineering Macao University of Science and TechnologyTaipaMacao 999078China Key Laboratory of Planetary Sciences Purple Mountain ObservatoryCASNanjing 210023China CAS Center for Excellence in Comparative Planetology CASHefei 230026China

Asteroids,as the primitive building blocks for the formation of our solar system,could reveal its evolution mechanism,and have attracted more and more attention from the public and professional institutions in recent *** physical properties,such as rotational period,spin axis and overall shape,can be inverted from ground-and space-based photometric *** the inversion process is very time-consuming,this paper combines the genetic algorithm with the Levenberg–Marquardt(LM) algorithm,and presents a hybrid optimization algorithm based on a Cellinoid shape model for the inversion of rotational periods,which greatly improves the inversion *** proposed hybrid algorithm is applied to the synthetic lightcurves generated for an assumed Cellinoid shape model and the inverted rotational period results are consistent with the preset ones with a reduced search time,compared with the LM ***,multiple numerical experiments on the periods are performed on lightcurves and sparse observations of real asteroids to confirm that the proposed method can perform well in improving computational efficiency.

关键词： astrometry-methods numerical-planets and satellites fundamental parameters

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