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Enhancing Safety in Autonomous Vehicle Navigation:An Optimized Path Planning Approach Leveraging Model Predictive Control

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Computers, Materials & Continua 2024年第9期80卷 3555-3572页

作者： Shih-lin lin bo-chen lin Graduate Institute of Vehicle Engineering National Changhua University of EducationChanghua50007TaiwanChina

This paper explores the application of Model Predictive Control(MPC)to enhance safety and efficiency in autonomous vehicle(AV)navigation through optimized path *** evolution of AV technology has progressed rapidly,moving from basic driver-assistance systems(Level 1)to fully autonomous capabilities(Level 5).Central to this advancement are two key functionalities:Lane-Change Maneuvers(LCM)and Adaptive Cruise Control(ACC).In this study,a detailed simulation environment is created to replicate the road network between Nantun andWuri on National Freeway No.1 in *** MPC controller is deployed to optimize vehicle trajectories,ensuring safe and efficient *** onboard sensors,including vehicle cameras and millimeterwave radar,are used to detect and respond to dynamic changes in the surrounding environment,enabling real-time decision-making for LCM and *** simulation resultshighlight the superiority of the MPC-based approach in maintaining safe distances,executing controlled lane changes,and optimizing fuel ***,the MPC controller effectively manages collision avoidance,reduces travel time,and contributes to smoother traffic flow compared to traditional path planning *** findings underscore the potential of MPC to enhance the reliability and safety of autonomous driving in complex traffic *** research will focus on validating these results through real-world testing,addressing computational challenges for real-time implementation,and exploring the adaptability of MPC under various environmental *** study provides a significant step towards achieving safer and more efficient autonomous vehicle navigation,paving the way for broader adoption of MPC in AV systems.

关键词： Autonomous driving model predictive control(MPC) lane change maneuver(LCM) adaptive cruise control(ACC)

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基于极限平衡法的危岩倾覆稳定性三维计算方法

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岩土力学 2024年第2期45卷 552-562页

作者：彭海游谢强陈柏林檀康王琦杨文君重庆大学土木工程学院重庆400045 重庆地质矿产研究院自然资源部地质灾害自动化监测技术创新中心重庆401120 重庆地质矿产研究院重庆市地质灾害自动化监测工程技术研究中心重庆401120

目前危岩防治工作中,危岩稳定性评价主要以简化后的二维剖面作为计算模型。由于自然界中的危岩形态极不规则,采用二维剖面计算模型并不能真实反映危岩受力情况。为了研究危岩稳定性三维计算方法,在前人研究基础上,基于极限平衡理论,提... 详细信息

目前危岩防治工作中,危岩稳定性评价主要以简化后的二维剖面作为计算模型。由于自然界中的危岩形态极不规则,采用二维剖面计算模型并不能真实反映危岩受力情况。为了研究危岩稳定性三维计算方法,在前人研究基础上,基于极限平衡理论,提出了由后缘裂缝抗拉强度控制的危岩倾覆稳定性三维计算公式,采用数值积分和空间几何方法给出了在危岩单体三维模型基础上求解危岩后缘岩体抗拉力、水压力及其力矩计算公式和实现流程。以三峡库区瞿塘峡吊嘴危岩为实例开展了应用,并通过数值分析进行了验证。通过不同形态危岩的三维稳定性分析,讨论了三维与二维稳定性计算结果的关系,对比发现危岩形态对稳定性计算结果有明显影响,三维计算较二维计算更准确和实用。

关键词：危岩倾覆稳定性三维极限平衡法

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市政污泥的热解与燃烧特性及动力学

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科学技术与工程 2024年第23期24卷 9866-9874页

作者：陈泊林王域骁冉景煜黄鑫唐广川重庆渝水环保科技有限公司重庆400020 重庆大学低品位能源利用技术及系统教育部重点实验室重庆400044

市政污泥的合理化处理可有效防治生态环境污染与水资源浪费,研究其热解处理技术对指导市政污泥的科学处治具有十分重要的意义。利用热重分析法分析了重庆5种典型市政污泥在不同升温速率下的热重法(thermogravimetric,TG)和微商热重法(de... 详细信息

市政污泥的合理化处理可有效防治生态环境污染与水资源浪费,研究其热解处理技术对指导市政污泥的科学处治具有十分重要的意义。利用热重分析法分析了重庆5种典型市政污泥在不同升温速率下的热重法(thermogravimetric,TG)和微商热重法(derivative thermogravimetry,DTG)曲线演变规律,剖析了热解和燃烧条件下的挥发分析出特性指数D、综合燃烧特性指数、活化能、指前因子等参数的分布特征,揭示了其热解与燃烧特性及动力学规律。结果表明:5种市政污泥的挥发分和灰分的含量较高,而固定碳含量较低;随着升温速率的增加,不同污泥的综合热解性能和综合燃烧性能均越来越优异;综合所有升温速率下的热解和燃烧特性参数,土主和鱼洞污泥的综合热解性能最优,而唐家桥污泥的综合燃烧性能最佳。经过动力学分析,鱼洞污泥的热解过程平均活化能相比其他4种污泥更低,为112.34 kJ/mol,唐家桥污泥的燃烧过程平均活化能相比其他4种污泥更低,为67.46 kJ/mol,说明了鱼洞和唐家桥污泥分别具有优异的热解和燃烧特性。

关键词：市政污泥热重分析法热解特性燃烧特性热解动力学燃烧动力学

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SALT-FINGERING OF POLLUTANT VERTICAL MIXING IN STATIC THERMAL-STRATIFIED WATER

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Journal of Hydrodynamics 2010年第3期22卷 430-437页

作者： chen bo LUO lin LI Jia BAI Xue LI Shao-bo State Key Laboratory of Hydraulics and Mountain River Engineering Sichuan University Chengdu 610065 China College of Architecture and Environment Sichuan University Chengdu 610065 China

Pollutant vertical mixing in stratified waters is a key factor that affects the vertical pollutant distribution in deep thermal-stratified reservoirs. This article presents an experimental study of the vertical mixing in thermal-stratified waters and an analysis of the retarded tracer jet diffusion in the thermocline layer. In the experiment, Reynolds number rapidly decreases from 104 to 10I. The stronger the stratification, the more seriously retarded the mixing will be. Some small tracer blobs may penetrate the thermocline layer into the hypolimnion layer even the main tracer cloud is retarded. According to its appearance, it can remain with salt-fingering, where the blobs are isolated away from the main cloud and mixed with the surround cold water in the hypolimnion layer. Therefore, the vertical distribution of the tracer under the thermocline layer would take larger values than expected. According to measurements, the isolated blob contents are accounted for about 5%-20% of the main tracer cloud, and are decreased with the increase of the stratification intensity. Results also show that the stronger the stratification, the smaller finger width would be. The averaged width of the incipient fingers is proportional to -0.3272 of the thermal Rayleigh number, Rat, in the turbulent jet fluid. power of the temperature gradient, AT/Az, or - 0.2823 power

关键词： thermal-stratified water vertical mixing retard double diffusion salt-finger

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Universal Image Steganalysis Based on Convolutional Neural Network with Global Covariance Pooling

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Journal of Computer Science & Technology 2022年第5期37卷 1134-1145页

作者： Xiao-Qing Deng bo-lin chen Wei-Qi Luo Da Luo Guangdong Key Laboratory of Information Security Technology Sun Yat-sen UniversityGuangzhou 510006China School of Cyberspace Security Dongguan University of TechnologyDongguan 523808China

Recently,steganalytic methods based on deep learning have achieved much better performance than traditional methods based on handcrafted ***,most existing methods based on deep learning are specially designed for one image domain(i.e.,spatial or JPEG),and they often take long time to *** make a balance between the detection performance and the training time,in this paper,we propose an effective and relatively fast steganalytic network called US-CovNet(Universal Steganalytic Covariance Network)for both{the}spatial and JPEG *** this end,we carefully design several important components of{US-CovNet}that will significantly affect the detection performance,including the high-pass filter set,the shortcut connection and the pooling{layer}.Extensive experimental results show that compared with the current best steganalytic networks(i.e.,SRNet and J-YeNet),{US-CovNet}can achieve the state-of-the-art results for detecting spatial steganography and have competitive performance for detecting JPEG *** example,the detection accuracy of US-CovNet is at least 0.56%higher than that of SRNet in the spatial *** the JPEG domain,US-CovNet performs slightly worse than J-YeNet in some cases with the degradation of less than 0.78%.However,the training time of US-CovNet is significantly reduced,which is less than 1/4 and 1/2 of SRNet and J-YeNet respectively.

关键词： steganalysis steganography convolutional neural networks global covariance pooling

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白藜芦醇对卵巢颗粒细胞损伤的保护作用及机制

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中国药理学通报 2024年第9期40卷 1799-1800页

作者：曹尚美邹真真陈泊霖杨少哲王单单王浩然付秀虹漯河市中心医院漯河医学高等专科学校第一附属医院河南省生育力保护与优生重点实验室河南漯河462000

卵巢储备功能减退(diminished ovarian reserve,DOR)是指女性卵巢内可募集卵母细胞数量减少,并见质量下降的一种病理状态(AMH<1 mg·L^(-1);AFC<10个;FSH≥10 IU·L^(-1)),发病率约为10%,并呈现年轻化趋势[1]。DOR最终会导致各种激素的... 详细信息

卵巢储备功能减退(diminished ovarian reserve,DOR)是指女性卵巢内可募集卵母细胞数量减少,并见质量下降的一种病理状态(AMH<1 mg·L^(-1);AFC<10个;FSH≥10 IU·L^(-1)),发病率约为10%,并呈现年轻化趋势[1]。DOR最终会导致各种激素的异常,女性生育能力降低,不孕等[2]。现今对于DOR患者最有效的方法仍是辅助生殖技术。但事实上仍有一些患者排斥包括辅助生殖技术在内的外科手术方式而选择保守治疗,现今对DOR的治疗并不能满足所有患者的需求,临床上常用的治疗DOR的药物有潜在的副作用,而辅助生殖技术由于成本高,并非大多数患者的首选。因此,探索DOR的作用机制,开发健康无害的治疗方法具有重要的科学意义和社会意义。

关键词：中医药卵巢储备功能减退白藜芦醇沉默调节蛋白1 卵巢颗粒细胞氧化应激

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Recovery of Li, Ni, Co and Mn from spent lithium-ion batteries assisted by organic acids: Process optimization and leaching mechanism

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International Journal of Minerals,Metallurgy and Materials 2024年第3期31卷 518-530页

作者： Liuyi Ren bo Liu Shenxu Bao Wei Ding Yimin Zhang Xiaochuan Hou Chao lin bo chen School of Resources and Environmental Engineering Wuhan University of TechnologyWuhan 430070China State Environmental Protection Key Laboratory of Mineral Metallurgical Resources Utilization and Pollution Control Wuhan University of Science and TechnologyWuhan 430081China Zhejiang New Era Zhongneng Recycling Technology Co. LtdShaoxing 312000China Shenzhen Water Planning&Design Institute Co. LtdShenzhen 518000China

The proper recycling of spent lithium-ion batteries(LIBs)can promote the recovery and utilization of valuable resources,while also negative environmental effects resulting from the presence of toxic and hazardous *** this study,a new environmentally friendly hydro-metallurgical process was proposed for leaching lithium(Li),nickel(Ni),cobalt(Co),and manganese(Mn)from spent LIBs using sulfuric acid with citric acid as a *** effects of the concentration of sulfuric acid,the leaching temperature,the leaching time,the solid-liquid ratio,and the reducing agent dosage on the leaching behavior of the above elements were *** parameters were optimized using response surface methodology(RSM)to maximize the recovery of metals from spent *** maxim-um recovery efficiencies of Li,Ni,Co,and Mn can reach 99.08%,98.76%,98.33%,and 97.63%.under the optimized conditions(the sulfuric acid concentration was 1.16 mol/L,the citric acid dosage was 15wt%,the solid-liquid ratio was 40 g/L,and the temperature was 83℃ for 120 min),*** was found that in the collaborative leaching process of sulfuric acid and citric acid,the citric acid initially provided strong reducing CO_(2)^(-),and the transition metal ions in the high state underwent a reduction reaction to produce transition metal ions in the low ***,citric acid can also act as a proton donor and chelate with lower-priced transition metal ions,thus speeding up the dissolution process.

关键词： spent lithium-ion batteries leaching response surface methodology sulfuric acid citric acid

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Self-Driven Photo-Polarized Water Molecule-Triggered Graphene-Based Photodetector

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Research 2024年第2期2023卷 273-283页

作者： Shisheng lin Chang Liu Xin chen Yi Zhang Hongtao lin Xutao Yu Yujiao bo Yanghua Lu College of Information Science and Electronic Engineering Zhejiang UniversityHangzhou 310027P.R.China Hangzhou Gelanfeng Technology Co.Ltd Hangzhou 310051P.R.China State Key Laboratory of Modern Optical Instrumentation Zhejang UniversityHangzhou 310027P.R.China Key Laboratory of Wide Bandgap Semiconductor Materials and Devices HCSemitek CorporationYiwu 322009P.R.China Smart Materials for Architecture Research Lab Innovation Center of Yangtze River DeltaZhejiang UniversityJiaxing 314100P.R.China

Flowing water can be used as an energy source for generators,providing a major part of the energy for daily ***,water is rarely used for information or electronic ***,we present the feasibility of a polarized liquid-triggered photodetector in which polarized water is sandwiched between graphene and a *** to the polarization and depolarization processes of water molecules driven by photogenerated carriers,a photo-sensitive current can be repeatedly produced,resulting in a high-performance *** response wavelength of the photodetector can be fine-tuned as a result of the free choice of semiconductors as there is no requirement of lattice match between graphene and the *** zero voltage bias,the responsivity and specific detectivity of Gr/NaCl(0.5 M)W/N-GaN reach values of 130.7 mA/W and 2.3×10^(9)Jones under 350 nm illumination,***,using a polar liquid photodetector can successfully read the photoplethysmography signals to produce accurate oxygen blood saturation and heart *** with the commercial pulse oximetry sensor,the average errors of oxygen saturation and heart rate in the designed photoplethysmography sensor are~1.9%and~2.1%,*** study reveals that water can be used as a high-performance photodetector in informative industries.

关键词： polarization polarized saturation

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Memory-enhanced text style transfer with dynamic style learning and calibration

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Science China(Information Sciences) 2024年第4期67卷 181-196页

作者： Fuqiang lin Yiping SONG Zhiliang TIAN Wangqun chen Diwen DONG bo LIU College of Computer Science and Technology National University of Defense Technology Department of Computer Science and Engineering The Hong Kong University of Science and Technology Strategic Assessments and Consultation Institute Academy of Military Sciences

Text style transfer aims to rephrase a sentence to match the desired style while retaining the original content. As a controllable text generation task, mainstream approaches use content-independent style embedding as control variables to guide stylistic generation. Nonetheless, stylistic properties are contextsensitive even under the same style. For example, “delicious” and “helpful” convey positive sentiments,although they are more likely to describe food and people, respectively. Therefore, desired style signals must vary with the content. To this end, we propose a memory-enhanced transfer method, which learns fine-grained style representation concerning content to assist transfer. Rather than employing static style embedding or latent variables, our method abstracts linguistic characteristics from training corpora and memorizes subdivided content with the corresponding style representations. The style signal is dynamically retrieved from memory using the content as a query, providing a more expressive and flexible latent style space. To address the imbalance between quantity and quality in different content, we further introduce a calibration method to augment memory construction by modeling the relationship between candidate *** results obtained using three benchmark datasets confirm the superior performance of our model compared to competitive approaches. The evaluation metrics and case study also indicate that our model can generate diverse stylistic phrases matching context.

关键词： style transfer memory-enhanced method text generation deep learning text representation

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改进的U-Net在建筑物变化检测中的应用

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计算机技术与发展 2024年第9期34卷 30-37页

作者：李仙华陈柏林陈欢张宏鸣王美丽冯志玺西北农林科技大学信息工程学院陕西杨陵712100 西安电子科技大学人工智能学院陕西西安710071

变化检测是对地观测应用中的一项重要任务。然而现有的基于深度学习的变化检测方法在高分遥感图像建筑物变化检测任务中仍存在变化对象和背景之间分界模糊、小变化目标漏检等问题。针对这些问题,提出了一种基于高斯差分金字塔和注意力... 详细信息

变化检测是对地观测应用中的一项重要任务。然而现有的基于深度学习的变化检测方法在高分遥感图像建筑物变化检测任务中仍存在变化对象和背景之间分界模糊、小变化目标漏检等问题。针对这些问题,提出了一种基于高斯差分金字塔和注意力特征传递的遥感图像建筑物变化检测方法。该方法采用编码器解码器结构,在编码阶段使用高斯差分金字塔获取双时相遥感图像多尺度边缘特征信息,融合不同尺度下的边缘特征信息,增强图像边缘特征表达能力。在解码部分引入注意力特征传递机制,将高层语义信息与低层建筑物细节有效融合,以捕获特征中的显著信息、抑制无效特征信息,提升小变化目标的检测能力。该方法在公开的LEVIR-CD、WHU-CD数据集上进行训练和测试。实验结果表明,相比于其他同类方法,改进方法在对不同尺度建筑物目标的变化检测中展现了良好的适应性,在保证较低算力消耗的基础上,精确率、召回率、F1和Kappa值方面均有较大提升。

关键词：建筑物变化检测高斯差分金字塔 U-Net 注意力机制特征融合

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