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Lane Departure Assistance Coordinated Control System for In-Wheel Motor Drive Vehicles Based on Dynamic Extension Boundary Decision

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Journal of Systems Science & Complexity 2020年第4期33卷 1040-1063页

作者： wang hongbo CUI Wei YE Bin School of Automotive and Transportation Engineering Hefei University of TechnologyHefei 230009China Anhui Intelligent Vehicle Engineering Laboratory Hefei 230009China

Aiming at the advantages in active safety control of in-wheel motor drive vehicles, the classified decision-control-execution is proposed to the lane departure assistance system under the premise of ensuring the stability of the vehicle. The dynamic extension boundaries which vary with vehicle speed, road curvature and road adhesion coefficient are designed in the decision layer by using the neural network algorithm, which divides different dangerous degrees into different decision *** active differential steering controller, the electronic differential controller and their coordinated control strategy are designed in the control layer, and the corresponding control is carried out among different decision regions. In order to avoid the dangerous situation of secondary deviation caused by the existence of drift angle when the vehicle is rectified to the lane centerline, the heading angle controller is then designed in the control layer. The different torque distribution modes are divided according to the current vehicle speed, road adhesion coefficient and lateral acceleration in the execution layer, and the economic distribution, stability distribution, joint distribution are correspondingly executed among different torque distribution modes. Finally, Carsim and Matlab/Simulink are used for simulation verification.

关键词： execution Extension heading

Shuffled Mutation Glowworm Swarm Optimization and Its Application

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Chinese Journal of Electronics 2019年第4期28卷 822-828页

作者： wang hongbo REN Xuena TU Xuyan School of Computer and Communication Engineering Beijing Key Lab of Knowledge Engineering for Materials ScienceUniversity of Science and Technology Beijing Institute of Information Engineering Chinese Academy of Sciences

If the glowworm individual has no memory during its movement, and the decision of next direction is limited to its current position. It is precisely these reasons mentioned above that make the basic Glowworm Swarm Optimization easy to trap into the local optimum. In order to solve the problem, this paper suggests a Shuffled mutation glowworm swarm optimization(SMGSO), which combines the thought of Shuffled Frog Leaping with Glowworm Swarm Optimization. Making use of a grouping idea of Shuffled Mutation, the glowworm swarm is divided into several subgroups. The location updating of each individual is not only influenced by the brightest node in neighbour scope, but also by the brightest one in their local subgroup, meanwhile the locations of those isolated nodes are updated by the difference mutation of the global optimum and local optimal. In group shuffling stage, an orthogonal strategy can guide the whole population to generate their offspring. The performance of this proposed approach is examined by well-known10 benchmark functions, and its obtained results are compared with what other variants hold. The experimental analysis show that the Shuffled mutation glowworm swarm optimization is effective and outperforms other variants in terms of solving multi-modal function optimization problems, and the proposed approach can improve the positioning accuracy of the centroid localization.

关键词： Orthogonal strategy Shuffled frog leaping Wireless sensor centroid location

Prediction of the local and total thermal insulations of a bedding system based on the 3D virtual simulation technology

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Building Simulation 2023年第8期16卷 1467-1480页

作者： Qing Zheng hongbo wang Ying Ke School of Textile Science and Engineering Jiangnan UniversityWuxi 214122China School of Design Jiangnan UniversityWuxi 214122China

The thermal insulation of a bedding system is one of the most critical factors affecting sleeping thermal *** study reported a mathematical model to evaluate both local and total thermal insulations of a bedding *** determine the geometric parameters in the model,the geometric model of the bedding system was developed using a 3D virtual simulation *** reliability was validated by comparing it with the 3D scanning *** predicted local and total thermal insulations of bedding systems were compared with those measured by the thermal manikin obtained in a previous *** bedding systems included six down quilts with different filling weights and involved three body *** results showed that the predicted thermal insulation values agreed well with the experimental *** predicted local and total thermal insulations were with acceptable accuracy,whose errors were within 20%and 10%,***,the research discussed the effects of two main parameters(i.e.,the proportions and partial thermal resistances of heat transfer parts)on bedding thermal insulations and provided practical suggestions for regulating bedding thermal *** study has important implications for evaluating the thermal comfort of the bedding system and contributes to improving the sleeping environment.

关键词： thermal insulation prediction model bedding system heat transfer virtual simulation

Ship Weather Routing Based on Hybrid Genetic Algorithm Under Complicated Sea Conditions

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Journal of Ocean University of China 2023年第1期22卷 28-42页

作者： ZHOU Peng ZHOU Zheng wang Yan wang hongbo State Key Laboratory on Integrated Optoelectronics College of Electronic Science and EngineeringJilin UniversityJilin 130012China

Considering the effects of increased economic globalization and global warming,developing methods for reducing shipping costs and greenhouse gas emissions in ocean transportation has become *** to its key role in modern navigation technology,ship weather routing is the research focus of several scholars in this *** study presents a hybrid genetic algorithm for the design of an optimal ship route for safe transoceanic navigation under complicated sea *** the basis of the basic genetic algorithm,simulated annealing algorithm is introduced to enhance its local search ability and avoid premature convergence,with the ship’s voyage time and fuel consumption as optimization ***,a mathematical model of ship weather routing is developed based on the grid system.A measure of fitness calibration is proposed,which can change the selection pressure of the algorithm as the population *** addition,a hybrid crossover operator is proposed to enhance the ability to find the optimal solution and accelerate the convergence speed of the ***,a multi-population technique is applied to improve the robustness of the algorithm using different evolutionary strategies.

关键词： genetic algorithm simulated annealing algorithm weather routing ship speed loss

A Many-Objective Evolutionary Algorithm with Spatial Division and Angle Culling Strategy

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Chinese Journal of Electronics 2021年第3期30卷 437-443页

作者： wang hongbo YANG Fan TIAN Kena TU Xuyan School of Computer and Communication Engineering Beijing Key Lab.of Knowledge Engineering for Materials ScienceUniversity of Science and Technology Beijing

In a specific project, how to find a reasonable balance between a plurality of objectives and their optimal solutions has always been an important aspect for researchers. As a trade off between fast convergence and a rich diversity, a Many-objective evolutionary algorithm based on a spatial division and angle-culling strategy(Ma OEA-SDAC) is proposed. In the reorganization stage, a restricted matching selection can enhance the reproductivity. In the environment selection stage, a space division and angle-based elimination strategy can effectively improve the convergence and diversity imbalance of its solution set. Through detailed experiments and a comparative analysis of the proposed Ma OEA-SDAC with five other state-of-the-art algorithms on classical benchmark problems, the effectiveness of Ma OEA-SDAC in solving high-dimensional optimization problems has been verified.

关键词： reasonable balance many-objective evolutionary algorithm convergence environment selection stage angle culling strategy elimination strategy spatial division rich diversity Pareto optimisation angle-culling strategy diversity imbalance restricted matching selection specific project evolutionary computation fast convergence reorganization stage MaOEA-SDAC space division optimal solutions

Nonlinear analysis of combustion oscillations in a cavity-based supersonic combustor

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Science China(Technological Sciences) 2013年第5期56卷 1093-1101页

作者： wang hongbo wang ZhenGuo SUN MingBo WU HaiYan Science and Technology on Scramjet Laboratory National University of Defense Technology

Combustion oscillations in a supersonic combustor with hydrogen injection upstream of a cavity flameholder are investigated using nonlinear analysis based on experimental *** series of both flamefront and wall pressure are acquired,and the state space reconstruction approach is adopted to characterize the nonlinear behavior of the combustion *** overall equivalence ratios,0.038,0.076 and 0.11,are *** existence of a chaotic source in the present combustion system is *** correlation dimension and the largest Lyapunov exponent tend to become larger with the increasing equivalence ratio,indicating a more complicated and unstable combustion *** particular,it is found that the correlation dimension for the highest equivalence ratio is much greater than those of the two lower equivalence *** possible reasons responsible for the observed nonlinear behaviors are *** is the shock-related instabilities and the other is the transition of combustion stabilization mode between the cavity and jet-wake stabilized mode.

关键词： cavity supersonic combustion oscillation nonlinear

Photooxidation of carbonyl sulfide in the presence of the typical oxides in atmospheric aerosol

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Science China Chemistry 2005年第1期48卷 31-37页

作者： WU hongbo wang Xiao CHEN Jianmin Department of Environmental Science and Engineering Fudan University Shanghai 200433 China Department of Environmental Science and Engineering Fudan University Shanghai 200433 China Department of Environmental Science and Engineering Fudan University Shanghai 200433 China

Photooxidation of carbonyl sulfide (COS) under UV irradiation and the role of the oxides such as SiO2, Al2O3 and Fe2O3 were investigated by in situ FTIR in a long optical path cell. The major products were identified as SO2 and CO2 by means of IR spectra and GC-MS. SO2 was partially oxidized into SO4 on the surface of the oxides 2? and interior wall of the reactor, which was determined by XPS. The photooxidation is pseudo first order with respect to COS, and the apparent rate constant is approximately 9.30×10?4·s?1. SiO2 and Al2O3 promote the photooxida- tion of COS significantly, but Fe2O3 has no obvious influence on the reaction. The reaction rates in the presence of the oxides or not, rank as: UV + SiO2> UV + Al2O3> UV, UV + Fe2O3. The potentiality of the oxides for promoting the photooxidation of COS implicates that the aerosol particles may contribute to the photooxidation of COS in the at- mosphere.

关键词： carbonyl sulfide, photooxidation, atmospheric aerosol, oxides, in situ FTIR.

Energy-Performance Tradeoffs in laaS Cloud with Virtual Machine Scheduling

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China Communications 2015年第2期12卷 155-166页

作者： DONG Jiankang wang hongbo CHENG Shiduan State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

In the cloud data centers,how to map virtual machines(VMs) on physical machines(PMs) to reduce the energy consumption is becoming one of the major issues,and the existing VM scheduling schemes are mostly to reduce energy consumption by optimizing the utilization of physical servers or network ***,the aggressive consolidation of these resources may lead to network performance *** view of this,this paper proposes a two-stage VM scheduling scheme:(1) We propose a static VM placement scheme to minimize the number of activating PMs and network elements to reduce the energy consumption;(2) In the premise of minimizing the migration costs,we propose a dynamic VM migration scheme to minimize the maximum link utilization to improve the network *** scheme makes a tradeoff between energy efficiency and network *** design a new twostage heuristic algorithm for a solution,and the simulations show that our solution achieves good results.

关键词： IaaS cloud virtual machine scheduling network performance energy efficiency

Learning an identity distinguishable space for large scale face recognition

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The Journal of China Universities of Posts and Telecommunications 2018年第1期25卷 54-61页

作者： Yue Ting wang hongbo Cheng Shiduan State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

Implementing face recognition efficiently to real world large scale dataset presents great challenges to existing approaches. The method in this paper was proposed to learn an identity distinguishable space for large scale face recognition in MSR-Bing image recognition challenge （IRC）. Firstly, a deep convolutional neural network （CNN） was used to optimize a 128 B embedding for large scale face retrieval. The embedding was trained via using triplets of aligned face patches from FaceScrub and CASIA-WebFace datasets. Secondly, the evaluation of MSR-Bing IRC was conducted according to a cross-domain retrieval scheme. The real-time retrieval in this paper was benefited from the K-means clustering performed on the feature space of training data. Furthermore, a large scale similarity learning （LSSL） was applied on the relevant face images for learning a better identity space. A novel method for selecting similar pairs was proposed for LSSL. Compared with many existing networks of face recognition, the proposed model was lightweight and the retrieval method was promising as well.

关键词： face recognition convolutional neural network (CNN) triplet loss inception similarity learning