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不同刃型TBM滚刀载荷与振动特性实验研究

中南大学学报（自然科学版） 2024年第4期55卷 1340-1350页

作者：张皓诣张蒙祺莫继良段文军周仲荣西南交通大学机械工程学院摩擦学研究所四川成都610031 西南交通大学盾构/TBM装备摩擦学设计实验室四川成都610031 中铁高新产业股份有限公司北京100070

全断面隧道掘进机(TBM)地下工况复杂,破岩产生的振动冲击使得滚刀和刀盘异常失效,易造成重大经济损失。为探究在不同刀盘进给参数下滚刀截面形状(即刃型)对滚刀振动影响机理,开展滚刀破岩实验,获取滚刀载荷和振动信号。研究结果表明:随... 详细信息

全断面隧道掘进机(TBM)地下工况复杂,破岩产生的振动冲击使得滚刀和刀盘异常失效,易造成重大经济损失。为探究在不同刀盘进给参数下滚刀截面形状(即刃型)对滚刀振动影响机理,开展滚刀破岩实验,获取滚刀载荷和振动信号。研究结果表明:随着刀盘总推力和转速增加,滚刀振动幅度增大,这是由于推力与转速以不同方式增加了单位时间内岩石破碎的体积,因此岩石应变能的储存—释放过程更为剧烈,滚刀振动加剧;不同刃型滚刀侵入岩石的能力不同,亦会改变单位时间内破岩体积,影响滚刀振动;冲击与载荷突变同时发生,这是因为岩石蓄积的弹性应变能在岩石破裂时集中释放。本文研究可为滚刀选型、研发低振动新型滚刀结构、减少滚刀及刀盘开裂提供参考。

关键词：全断面隧道掘进机滚刀刃型破岩实验振动特性进给参数

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新型政治共同体的塑造——马克思对“国家-社会”二元分立的扬弃及当代启示

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开放时代 2024年第5期 13-28页

作者：杨增岽张浩一北京师范大学马克思主义学院

国家与社会关系是马克思主义理论和政治学研究中极其重要的问题,若以某位思想家为中介考察西方“国家-社会”关系史,首推马克思。西方“国家-社会”二元分立的政治传统成型于资本主义发展的历史过程,该现象未见于中国政治传统和历史。... 详细信息

国家与社会关系是马克思主义理论和政治学研究中极其重要的问题,若以某位思想家为中介考察西方“国家-社会”关系史,首推马克思。西方“国家-社会”二元分立的政治传统成型于资本主义发展的历史过程,该现象未见于中国政治传统和历史。马克思深刻揭示了资本主义国家与市民社会的复杂关系,科学阐释了政治国家的生成与本质。其国家学说首提“国家消亡”,破除了以往国家学说的形而上学,指出扬弃“国家-社会”分立后走向共产主义社会的历史发展图景。不同于西方“国家-社会”二元分立的社会观念,中国政治传统的独特历史决定了中华民族现代文明中独树一帜的整体逻辑。审思马克思对“国家-社会”关系的洞见,对理解中华文明政治传统和中国式现代化、中华民族现代文明的关系,超越西方“国家-社会”二元分立困局,有重要的理论价值与现实启示。

关键词：马克思 “国家-社会”关系马克思主义新型政治共同体

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林区规模性返贫的潜在风险与韧性治理策略

林业经济问题 2024年第1期44卷 59-67页

作者：黄吉迎宁满秀张维泰张皓乙福建农林大学马克思主义学院福州350002 福建农林大学经济与管理学院福州350002

从社会经济、突发环境和主体脆弱3个层面分析林区规模性返贫所面临的潜在风险。基于规模性返贫韧性治理的内涵,从抵御与恢复力、适应与转型力、学习与再造力3个特征维度构建规模性返贫韧性治理“全资本韧性耦合—全要素韧性互动—全过... 详细信息

从社会经济、突发环境和主体脆弱3个层面分析林区规模性返贫所面临的潜在风险。基于规模性返贫韧性治理的内涵,从抵御与恢复力、适应与转型力、学习与再造力3个特征维度构建规模性返贫韧性治理“全资本韧性耦合—全要素韧性互动—全过程韧性循环”的机制框架。在此基础上,提出构建韧性治理共同体,提升多元主体韧性;建立长效保障机制,提升产业、人才、文化、生态和组织韧性等规模性返贫韧性治理建议。

关键词：韧性治理林区规模性返贫潜在风险

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基于算力消耗与灵敏度的图像相似度算法对比

软件 2024年第5期45卷 46-48页

作者：关达伟林欣平张昊一北京交通大学(威海校区) 山东威海264400

本文致力于研究在工业场景下分析图像相似度算法。考虑灵敏度和算力需求,通过横向比较不同算法的计算时间和灵敏度,在随机和梯度数据集下评估性能,以找出满足实验预期的最优化算法,即为找出不合格产品的最优化算法。

关键词：工业产品相似度检测算法灵敏度分析

Large circuit models: opportunities and challenges

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Science China(Information Sciences) 2024年第10期 25-66页

作者： Lei CHEN Yiqi CHEN Zhufei CHU Wenji FANG Tsung-Yi HO Ru HUANG Yu HUANG Sadaf KHAN Min LI Xingquan LI Yu LI Yun LIANG Jinwei LIU Yi LIU Yibo LIN Guojie LUO Hongyang PAN Zhengyuan SHI Guangyu SUN Dimitrios TSARAS Runsheng WANG Ziyi WANG Xinming WEI Zhiyao XIE Qiang XU Chenhao XUE Junchi YAN Jun YANG Bei YU Mingxuan YUAN Evangeline F.Y.YOUNG Xuan ZENG haoyi zhang Zuodong zhang Yuxiang ZHAO Hui-Ling ZHEN Ziyang ZHENG Binwu ZHU Keren ZHU Sunan ZOU Huawei Noah’s Ark Lab School of Integrated Circuits Peking University Faculty of Electrical Engineering and Computer Science Ningbo University Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Department of Computer Science and Engineering The Chinese University of Hong Kong School of Integrated Circuits Southeast University Huawei HiSilicon Peng Cheng Laboratory School of Computer Science Peking University School of Microelectronics State Key Laboratory of Integrated Chips and System Fudan University School of Artificial Intelligence Shanghai Jiao Tong University

Within the electronic design automation(EDA) domain, artificial intelligence(AI)-driven solutions have emerged as formidable tools, yet they typically augment rather than redefine existing methodologies. These solutions often repurpose deep learning models from other domains, such as vision, text, and graph analytics, applying them to circuit design without tailoring to the unique complexities of electronic circuits. Such an “AI4EDA” approach falls short of achieving a holistic design synthesis and understanding,overlooking the intricate interplay of electrical, logical, and physical facets of circuit data. This study argues for a paradigm shift from AI4EDA towards AI-rooted EDA from the ground up, integrating AI at the core of the design process. Pivotal to this vision is the development of a multimodal circuit representation learning technique, poised to provide a comprehensive understanding by harmonizing and extracting insights from varied data sources, such as functional specifications, register-transfer level(RTL) designs, circuit netlists,and physical layouts. We champion the creation of large circuit models(LCMs) that are inherently multimodal, crafted to decode and express the rich semantics and structures of circuit data, thus fostering more resilient, efficient, and inventive design methodologies. Embracing this AI-rooted philosophy, we foresee a trajectory that transcends the current innovation plateau in EDA, igniting a profound “shift-left” in electronic design methodology. The envisioned advancements herald not just an evolution of existing EDA tools but a revolution, giving rise to novel instruments of design-tools that promise to radically enhance design productivity and inaugurate a new epoch where the optimization of circuit performance, power, and area(PPA) is achieved not incrementally, but through leaps that redefine the benchmarks of electronic systems' capabilities.

关键词：

Bioinspired integrated triboelectric electronic tongue

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Microsystems & Nanoengineering 2024年第3期10卷 97-108页

作者： Jiaming Liu Jingui Qian Murtazt Adil Yali Bi haoyi Wu Xuefeng Hu Zuankai Wang Wei zhang Anhui Province Key Laboratory of Measuring Theory and Precision Instruments School of Instrumental Science and Optoelectronics EngineeringHefei University of Technology230009 HefeiAnhuiChina School of Physics and Optoelectronic Engineering Guangdong University of Technology510006 GuangzhouGuangdongChina Department of Mechanical Engineering The Hong Kong Polytechnical UniversityHong Kong SARChina

An electronic tongue(E-tongue)comprises a series of sensors that simulate human perception of taste and embedded artificial intelligence(AI)for data analysis and *** E-tongues based on electrochemical methods suffer from a bulky size and require larger sample volumes and extra power sources,limiting their applications in in vivo medical diagnosis and analytical *** by the mechanics of the human tongue,triboelectric components have been incorporated into E-tongue platforms to overcome these *** this study,an integrated multichannel triboelectric bioinspired E-tongue(TBIET)device was developed on a single glass slide chip to improve the device’s taste classification accuracy by utilizing numerous sensory *** detection capability of the TBIET was further validated using various test samples,including representative human body,environmental,and beverage *** TBIET achieved a remarkably high classification *** instance,chemical solutions showed 100%identification accuracy,environmental samples reached 98.3%accuracy,and four typical teas demonstrated 97.0%***,the classification accuracy of NaCl solutions with five different concentrations reached 96.9%.The innovative TBIET exhibits a remarkable capacity to detect and analyze droplets with ultrahigh sensitivity to their electrical ***,it offers a high degree of reliability in accurately detecting and analyzing various liquid samples within a short *** development of a self-powered portable triboelectric E-tongue prototype is a notable advancement in the field and is one that can greatly enhance the feasibility of rapid on-site detection of liquid samples in various settings.

关键词： electronic utilizing overcome

基于混合多变量经验模态分解和极限学习机的非平稳过程预测

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上海交通大学学报 2020年第4期54卷 376-386页

作者：李春祥张浩怡上海大学土木工程系上海200444

传感器布置不足和传感器数据缺失是风压实测研究中需要解决的重要问题,风压的空间预测可以恢复缺失数据和拓展风压空间信息,帮助建立结构表面的风压分布.为此提出一种基于多变量经验模态分解(MEMD)和极限学习机(ELM)的空间预测算法.采用... 详细信息

传感器布置不足和传感器数据缺失是风压实测研究中需要解决的重要问题,风压的空间预测可以恢复缺失数据和拓展风压空间信息,帮助建立结构表面的风压分布.为此提出一种基于多变量经验模态分解(MEMD)和极限学习机(ELM)的空间预测算法.采用MEMD分解非平稳信号,得到多组模态数目相同且频率匹配的固有模态函数和余项.对分解得到的数据按频率进行重组,作为输入数据,用ELM进行学习和预测.采用基于自回归滑动平均的模拟风速数据和实测非平稳风压数据来验证算法的有效性和精确度,同时引入基于径向基核函数的最小二乘支持向量机(RBF-LSSVM)和ELM方法作为对比.试验结果表明,MEMD-ELM方法的预测结果误差更小,与真实值更为接近.MEMD的多变量同时分解可以保留数据间的相关性,从而在非平稳过程空间预测时达到更好的效果,是一种稳定而有效的多变量预测方法.

关键词：多变量经验模态分解极限学习机非平稳预测

Effect of Dual-credit Regulation on Passenger Cars Average Fuel Consumption Restriction Analysis

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Effect of Dual-credit Regulation on Passenger Cars Average F...

基于系统构成要素的创新政策系统运行效果评价指标体系研究

2019中国汽车工程学会年会

作者： zhang haoyi Liu Feiqi Hao Han Zhao Fuquan Liu Zongwei Tsinghua University Tsinghua Automotive Strategy Research Institute Tsinghua University state key laboratory of automotive safety and energy

China’s auto market has developed rapidly in recent years,and has become the world’s largest auto *** rapid increase in sales of passenger cars has brought a series of environmental and energy *** response to these problems,CAFC and NEV Dual-credit Regulation has been ***,it is found that while the purpose of the dual-credit regulation is to controlling the fuel consumption and promoting the development of new energy vehicle market,the fuel consumption restriction of fossil-fueled passenger vehicles is released compared with CAFC regulation ***,this trend of relaxation is more serious with the market share of new energy vehicle *** different scenario of new energy vehicle market development before 2030 have been made in order to quantitatively analyze the relaxation degree of the fuel consumption *** several targeted suggestions for the future development of dual-credit regulation have been put forward.

关键词： new energy vehicle dual-credit regulation fuel consumption policy suggestion

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科技管理研究 2009年第12期29卷 76-78页

作者：陈伟张昊一哈尔滨工程大学经济管理学院黑龙江哈尔滨150001

在对创新政策系统的内涵进行界定的基础上构建创新政策系统,通过对创新政策系统构成要素的分析,设计基于系统构成要素的创新政策系统运行效果评价指标体系,并在评价指标体系应用时运用AHP法确定指标权重,从而保证评价结果的科学性和可... 详细信息

在对创新政策系统的内涵进行界定的基础上构建创新政策系统,通过对创新政策系统构成要素的分析,设计基于系统构成要素的创新政策系统运行效果评价指标体系,并在评价指标体系应用时运用AHP法确定指标权重,从而保证评价结果的科学性和可操作性。

关键词：构成要素创新政策政策系统指标体系