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2023 International Symposium on World Ecological design, ISWED 2023

作者： Chen, Shuqin Guo, Lihua School of He XiangNing Art and Design Zhongkai University of Agriculture and Engineering China School of Electronic and Information Engineering South China University of Technology China

ISBN: (纸本)9781643685069

The proposed paper introduces a fast single-hidden layer feed-forward neural network with a discriminative information constraint (FSLFN-DI). Data is initially projected into a latent space based on the Fisher discriminant criterion. This projection matrix ensures that points of the same class cluster together and those of different classes scatter in the hidden latent space. A least square solution with the minimum norm is then used to learn the relationship between the hidden latent and the output for quick training. The experimental results on various industrial datasets demonstrate that FSLFN-DI outperforms traditional neural networks in terms of faster learning and competitive performance. © 2024 The Authors.

关键词： Deep neural networks

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Long tunnel group driving fatigue detection model based on XGBoost algorithm

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Journal of Traffic and Transportation engineering(English Edition) 2025年第1期12卷 167-179页

作者： Huazhi Yuan Kun Zhao Ying Yan Li Wan Zhending Tian Xinqiang Chen School of Civil Engineering Lanzhou University of TechnologyLanzhou 730050China School of Transportation Engineering Chang'an UniversityXi'an 710064China Shandong Transportation Planning and Design Institute Group Co. Ltd.Jinan 250031China China Railway First Survey and Design Institute Group Co. Ltd.Xi'an 710043China Institute of Logistics Science and Engineering Shanghai Maritime UniversityShanghai 201306China

Driving fatigue is one of the important causes of accidents in tunnel(group)*** this paper,in order to effectively identify the driving fatigue of tunnel(group)drivers,an eye tracker and other instruments were used to conduct real vehicle tests on long tunnel(group)expressways and thus obtain the eye movement,driving duration,and Karolinska sleepiness scale(KSS)data of 30 *** impacts of the tunnel and non-tunnel sections on drivers were compared,and the relationship between blink indexes,such as the blink frequency,blink duration,mean value of blink duration,driving duration,and driving fatigue,was studied.A paired t-test and a Spearman correlation test were performed to select the indexes that can effectively characterize the tunnel driving fatigue.A driving fatigue detection model was then developed based on the XGBoost *** obtained results show that the blink frequency,total blink duration,and mean value of blink duration gradually increase with the deepening of driving fatigue,and the mean value of blink duration is the most sensitive in the tunnel *** addition,a significant correlation exists between the driving duration index and driving fatigue,which can provide a reference for improving the tunnel *** the mean value of blink duration and driving duration as the characteristic indexes,the accuracy of the driving fatigue detection model based on the XGBoost algorithm reaches 98%.The cumulative and continuous tunnel proportion effectively estimates the driving fatigue state in a long tunnel(group)environment.

关键词： Traffic safety Tunnel group Driving fatigue detection Eye movement data Driving duration XGBoost algorithm

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On the design of NOMA-Based Integrated Sensing and Communications (ISAC) in Near-Field Extremely Large-Scale MIMO Systems

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IEEE Internet of Things Journal 2025年第12期12卷 18554-18569页

作者： Sun, Like Zhao, Zhongyuan Jia, Chao Quek, Tony Q. S. Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology School of Information and Communication Engineering Beijing100876 China Singapore University of Technology and Design 487372 Singapore Kyung Hee University Department of Electronic Engineering Yongin17104 Korea Republic of

Integrated sensing and communications (ISAC) has been widely applied in Internet of Things (IoT) networks for its capability to simultaneously support high-performance communication and sensing, and non-orthogonal multiple access (NOMA) is introduced to further improve spectral efficiency and connection density. However, with the deployment of extremely large-scale multiple-input-multiple-output (XL-MIMO) and high-frequency (HF) technologies, the near-field (NF) paradigm replaces the conventional far-field (FF) paradigm and becomes dominant, necessitating a reassessment of NOMA-based ISAC system performance in the NF region. To address this, a novel NOMA-based ISAC scheme in NF XL-MIMO systems is proposed in this paper, wherein a multi-beam design based on subarray partitioning is employed to realize a communication-and-sensing coexistence ISAC system, while the additional distance-based degree of freedom (DoF) provided by the unique NF beamfocusing is utilized to improve NOMA performance gains. To balance the optimal performance tradeoff between communication and sensing, an optimization problem for joint device scheduling, subarray partitioning, and power allocation is formulated to maximize the ISAC joint rate under various constraints. Based on alternating optimization (AO) and fractional programming (FP) techniques, an efficient joint optimization algorithm is developed to solve the complex non-convex problem with coupled variables. In particular, the original problem is decoupled into three subproblems and solved by applying the linearization of 0-1 polynomial programming, Lagrangian dual reformulation, and quadratic transform techniques. Numerical results validate that our proposed NOMA-based ISAC scheme and joint optimization algorithm significantly enhance the ISAC joint rate performance in NF XL-MIMO systems for IoT networks. © 2014 IEEE.

关键词： Quadratic programming

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Compensation of transmission delay of SM controlled DC/DC converter systems 35

Compensation of transmission delay of SM controlled DC/DC co...

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第35届中国控制与决策会议

作者： Yuan Shibo Duan Guangxin Wang Qingyu Wang Yanmin School of Electrical Engineering and Automation Harbin Institute of Technology Architectural Design and Research Institute of HIT

ISBN: (纸本)9798350334722

In order to solve the problem of transmission delay located in DC/DC converter systems,a novel compensation approach is proposed by combining sliding mode(SM) control and predictive *** an n-phase interleaving DC/DC buck converter as an example to simulate the signal transmission in such systems like the distributed energy and DC micro-grid types,the discrete model is established,following the design of discrete SM controller based on Lyapunov *** the random property of the transmission delay,a buffer zone is adopted to change the delay time into a fixed value,and further,a multistep prediction approach is used to estimate the length of the delay *** using the robustness of SM controller,the influence of transmission delay can be compensated automatically,following the analysis of the system *** validate the proposed approach.

关键词： transmission delay sliding mode control DC/DC converter predictive control stability

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Development of a Blended Wing Body Aircraft with Hydrogen-Electric Hybrid Distributed Propulsion

Development of a Blended Wing Body Aircraft with Hydrogen-El...

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AIAA SciTech Forum and Exposition, 2024

作者： Patel, Srujal Ahuja, Jai Ragauss, Emily Gladin, Jonathan Mavris, Dimitri N. Aerospace Systems Design Laboratory School of Aerospace Engineering Georgia Institute of Technology Atlanta30332 Georgia

ISBN: (数字)9781624107115

ISBN: (纸本)9781624107115

This paper introduces a 112-passenger blended wing body aircraft concept as part of the Integrated Zero Emission Aviation academic-industry collaboration to achieve NASA’s goals of net zero emissions by the year 2050. This effort considers a novel liquid hydrogen-electric hybrid distributed system that generates propulsion power via a combination of liquid hydrogen burning turboelectric generators and hydrogen fuel cells. We present the concept architecture and modeling assumptions in this paper and discuss our initial aerodynamic optimization of the clean airframe outer mold line using gradient-free surrogate-based optimization. We include and discuss the aerodynamic optimization results, system-level performance characteristics, and weight breakdown of the aircraft. The proposed concept has a roughly 34% reduction in energy burn compared to a notional model of the current state-of-the-art E190-E2 regional jet. The work described in this paper serves as a foundation for future design refinements and related system/sub-system level studies as part of this multi-year initiative. © 2024 by SRUJAL PATEL, JAI AHUJA, EMILY RAGAUSS, JONATHAN GLADIN, DIMITRI MAVRIS. Published by the American Institute of Aeronautics and Astronautics, Inc.

关键词： NASA

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Decomposition-Based Memetic Algorithm for Multi-Objective Fleet Size and Mix Vehicle Routing Problem 13

Decomposition-Based Memetic Algorithm for Multi-Objective Fl...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Ba, Yunpeng Zheng, Ruihao Wang, Zhenkun School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China School of System Design and Intelligent Manufacturing Southern University of Science and Technology Department of Computer Science and Engineering Shenzhen China

ISBN: (纸本)9798350308365

The heterogeneous fleet vehicle routing problem (HFVRP) is of great significance in logistics and transportation. This paper considers a crucial and challenging HFVRP variant, namely multi-objective fleet size and mix vehicle routing problem with unlimited fleet, fixed cost, and dependent cost (MO-FSMVRPFD). A decomposition-based memetic algorithm called MOEA/D-ALS is proposed to cope with MO-FSMVRPFD. MOEA/D-ALS uses the multi-objective evolutionary algorithm based on decomposition (MOEA/D) as the backbone. Beyond that, it adopts a replacement strategy based on maximal fitness improvement (MFI). In addition, the local search is conducted on difficult subproblems for further refinement. The experimental studies on 18 instances show that MOEA/D-ALS exhibits a significant performance superiority over two other representative algorithms. The effectiveness of both the MFI strategy and the adaptive local search procedure is also validated. © 2024 IEEE.

关键词： Vehicle routing

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Dynamic simulation insights into friction weakening effect on rapid long-runout landslides:A case study of the Yigong landslide in the Tibetan Plateau,China

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China Geology 2024年第2期7卷 222-236页

作者： Zi-zheng Guo Xin-yong Zhou Da Huang Shi-jie Zhai Bi-xia Tian Guang-ming Li School of Civil and Transportation Engineering Hebei University of TechnologyTianjin 300401China School of Geological Engineering and Geomatics Chang’an UniversityXi’an 710054China Tianjin Municipal Engineering Design&Research Institute(TMEDI) Tianjin 300392China

This study proposed a novel friction law dependent on velocity,displacement and normal stress for kinematic analysis of runout process of rapid *** well-known Yigong landslide occurring in the Tibetan Plateau of China was employed as the case,and the derived dynamic friction formula was included into the numerical simulation based on Particle Flow *** showed that the friction decreased quickly from 0.64(the peak)to 0.1(the stead value)during the 5s-period after the sliding initiation,which explained the behavior of rapid movement of the *** monitored balls set at different sections of the mass showed similar variation characteritics regarding the velocity,namely evident increase at the initial phase of the movement,followed by a fluctuation phase and then a stopping *** peak velocity was more than 100 m/s and most particles had low velocities at 300s after the landslide *** spreading distance of the landslide was calculated at the two-dimension(profile)and three-dimension scale,*** with the simulation result without considering friction weakening effect,our results indicated a max distance of about 10 km from the initial unstable position,which fit better with the actual situation.

关键词： Rapid long-runout landslide PFC Friction weakening Three-dimension Numerical simulation Tibetan Plateau Hydrogeology engineering Geological hazards survey engineering

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Stationary wavelet transform and SpinalNet trained light spectrum Tasmanian devil optimization enabled DR detection using fundus images

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Multimedia Tools and Applications 2025年第4期84卷 1597-1626页

作者： Tamboli, Mubin Shoukat Dhumane, Amol Prasad, Rajesh Prasad, Jayashree Rajesh Ranjan, Nihar M. Computer Engineering Pimpri Chinchwad College of Engineering Pradhikaran Maharashtra Pune411044 India Computer Science and Engineering Symbiosis Institute of Technology Maharashtra Pune India Computer Science and Engineering School of Computing MIT Art Design and Technology University Loni Kalbhor Maharashtra Pune412201 India Information Technology JSPM’s Rajarshi Shahu College of Engineering Tathawade Maharashtra Pune411033 India

Diabetes is a common disease that causes complications in the eyes known as Diabetic Retinopathy (DR). It aids in discovering the DR and tends to be the main cause behind people’s blindness amidst the previous decades. For prevent the complications of DR and to control the level of blood Glucose, the timely and crucial diagnosis is essential. A model is provided for detecting the DR. Here, Light Spectrum Tasmanian Devil Optimization (LSTDO) is utilized with SpinalNet for DR detection. The method undergoes an adaptive median filter and Region of interest mining process to generate a pre-processed image. The Sparse Fuzzy C-Means (FCM) is adapted for segmenting the optic disks followed by feature extraction. Then, the Hough line transformation with Tyler Coye algorithm (HLTCA) is used for blood vessel segmentation. Concurrently, the Stationary Wavelet Transform (SWT) is adapted to input image to overwhelm the deficiency of translation-invariance issue and then the feature mining is done. The feature vector is generated by unifying the outputs of the three-feature extraction phases and is employed to detect DR. The accuracy, sensitivity, and specificity obtained by the LSTDO-based SpinalNet are 91.6%, 89.9% and 92.1%, respectively. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Feature extraction

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Water Evaporation CFD Method with the Meshfree Volume-Volume-Coupling Approach for Wet Automotive Component Dry-Out Time Prediction

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International Journal of Automotive engineering 2024年第1期15卷 58-65页

作者： Lee, JungHoon Baeder, Dirk Rehfeldt, Sebastian Klein, Harald Technical University of Munich TUM School of Engineering and Design Department of Energy and Process Engineering Institute of Plant and Process Technology Boltzmannstr. 15 Garching85748 Germany AUDI AG Ingolstadt85045 Germany

A new two-phase mass transfer Computational Fluid Dynamics (CFD) method is developed using a meshfree collocation approach, or Generalized Finite Difference Method (GFDM), to resolve the evaporation phenomenon at the water-air interface since it is essential to estimate the water dry-out-time for corrosion protection schemes on automotive components. Thereby, the volume-volume-coupling to couple the phases – air and water – is used in order to keep a stable phase interface. At the interface, it is assumed that the main driving force of the liquid mass transfer into vapor is diffusion driven by the vapor concentration gradient. The automatized adaptive refinement based on the humidity- and velocity-gradient enabling the automation of the whole process is also developed. The newly developed method is validated with one simple and actual vehicle geometries. In vehicle geometry case, the total-dry-out times of an accumulated water source at the corner of a sunroof are measured. In order to extend the time scale of the simulation to real, the water reduction rate at the free surface is artificially accelerated once the evaporation rates are quasi stabilized. The validation results are promising, and the method could be extended into further complex vehicle applications. © 2024 Society of Automotive Engineers of Japan, Inc. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

关键词： Computational fluid dynamics

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Application of engineered compressible inclusions to mitigating soilstructure interaction issues in integral bridge abutments

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Journal of Rock Mechanics and Geotechnical engineering 2023年第8期15卷 2132-2146页

作者： Lila Dhar Sigdel Minghao Lu Ahmed Al-qarawi Chin Jian Leo Samanthika Liyanapathirana Pan Hu School of Engineering Design and Built EnvironmentWestern Sydney UniversityKingswoodNSW2747Australia Higher College of Technology Abu DhabiUnited Arab Emirates

The thermally induced cyclic loading on integral bridge abutments causes soil deformation and lateral stress ratcheting behind the abutment wall due to the expansion and contraction of the bridge *** forward and backward movements of the abutment in response to the expansion/contraction of the bridge deck lead to the formation of settlement trough and surface heaving,frequently creating a bump at the bridge approach and increasing the lateral earth pressure behind the *** to reduce the bump at the bridge approach,including several treatment methods,such as compaction of selected backfill materials,grout injection,installation of approach slab,and using a layer of compressible inclusion material behind the abutment were ***,these guidelines still lack sufficient design details and there are limited experimental findings to validate design *** this paper,the use of engineered compressible materials to alleviate the lateral earth pressure ratcheting and settlement at the bridge approach is *** comparative study is presented for the soil-inclusion,material-structure and soil-structure interactions for an integral bridge under three different backfill conditions,i.e.(a)sand,(b)sand and EPS geofoam,and(c)sand and Infinergy®.The study was conducted in a special large-scale test chamber with a semi-scale abutment to gain better insights into the soil-structure interaction(SSI).The kinematics and rearrangement of the soil during the cyclic loading have been investigated to identify the mitigating effects of compressible *** comparative study indicates that both compressible inclusions perform comparatively well,however,Infinergy®is a better alternative than the medium-density EPS geofoam,as it works more effectively to reduce the backfill settlement and heaving as well as soil ratcheting effects under cyclic translational movement.

关键词： Integral bridge Cyclic loading Stress ratcheting Settlement bump Earth pressure distribution Soil-structure interaction(SSI)

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