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Journal of Energy Chemistry 2024年第9期96卷 679-697页

作者： Xinrong Huang Jinhao Meng Wei Jiang wenjie Liu Kailong Liu Yipu zhang Daniel-Ioan Stroe Remus Teodorescu School of Energy and Electrical engineering Chang’an UniversityXi’an 710018ShaanxiChina School of Electrical engineering Xi’an Jiaotong UniversityXi’an 710049ShaanxiChina School of Highway Chang’an UniversityXi’an 710018ShaanxiChina School of automation Northwestern Polytechnical UniversityXi’an 710072ShaanxiChina School of Control Science and engineering Shandong UniversityJinan 250100ShandongChina department of Energy Aalborg UniversityAalborg 9220Denmark

The significant decrease in battery performance at low temperatures is one of the critical challenges that electric vehicles(EVs)face,thereby affecting the penetration rate in cold *** current(AC)heating has attracted widespread attention due to its low energy consumption and uniform heating *** paper introduces the recent advances in AC heating from the perspective of practical EV ***,the performance degradation of EVs in low-temperature environments is introduced *** concept of AC heating and its research methods are ***,the effects of various AC heating methods on battery heating performance are *** on existing studies,the main factors that affect AC heating performance are ***,various heating circuits based on EVs are categorized,and their cost,size,complexity,efficiency,reliability,and heating rate are elaborated and *** evolution of AC heaters is presented,and the heaters used in brand vehicles are sorted ***,the perspectives and challenges of AC heating are *** paper can guide the selection of heater implementation methods and the optimization of heating effects for future EV applications.

关键词： Lithium-ion battery Low temperature Alternating current heating Heater Electric vehicle

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二维慢烤模型点火位置及其温度的理论推演

兵工学报 2024年第5期45卷 1564-1572页

作者：张坤智小琦肖游王帅罗锐恒张姚瑶黄云伟中北大学机电工程学院山西太原030051 中国兵器装备集团自动化研究所有限公司智能制造事业部四川绵阳621000 湖北航天化学技术研究所航天化学动力技术重点实验室湖北襄阳441003

为理论分析凝聚炸药慢速烤燃过程,并为慢速烤燃点火点位置研究奠定理论基础。根据炸药的热传导理论方程,利用叠加原理和分离变量法,将炸药非反应性热传导项与自热反应热传导项拆分,推导得到凝聚炸药二维慢速烤燃模型的温度分布解析解。... 详细信息

为理论分析凝聚炸药慢速烤燃过程,并为慢速烤燃点火点位置研究奠定理论基础。根据炸药的热传导理论方程,利用叠加原理和分离变量法,将炸药非反应性热传导项与自热反应热传导项拆分,推导得到凝聚炸药二维慢速烤燃模型的温度分布解析解。计算并分析了自热反应温度场随时间和炸药尺寸的变化规律。根据慢烤试验结果,对理论计算得出的点火点位置、点火温度及时间进行了验证。研究结果表明:理论确定的点火时间、点火点位置与试验测量的点火时间、点火点位置相符。炸药自热反应最高温度所在位置随其尺寸的增加,由中心移动至边缘角落。随着试验时间的增加,自热反应温度分布趋于稳定。就尺寸为∅76×190 mm的RDX炸药而言,发生点火时自热反应温度分布与点火前80000 s时的自热反应温度分布一致。

关键词：弹药慢速烤燃点火点位置热传导解析解

Path Planning Based on A-Star and Dynamic Window Approach Algorithm for Wild Environment

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Journal of Shanghai Jiaotong university(Science) 2024年第4期29卷 725-736页

作者： DONG Dejin DONG Shiyin zhang Lulu CAI Yunze department of automation Shanghai Jiao Tong UniversityShanghai200240China Key Laboratory of System Control and Information Processing Ministry of EducationShanghai200240China Shanghai Electro-Mechanical engineering Institute Shanghai201109China

The path planning problem of complex wild environment with multiple elements still poses *** paper designs an algorithm that integrates global and local planning to apply to the wild environmental path *** modeling process of wild environment map is *** optimization strategies are designed to improve the A-Star in overcoming the problems of touching the edge of obstacles,redundant nodes and twisting paths.A new weighted cost function is designed to achieve different planning ***,the improved dynamic window approach(DWA)is designed to avoid local optimality and improve time efficiency compared to traditional *** the necessary path re-planning of wild environment,the improved A-Star is integrated with the improved DWA to solve re-planning problem of unknown and moving obstacles in wild environment with multiple *** improved fusion algorithm effectively solves problems and consumes less time,and the simulation results verify the effectiveness of improved algorithms above.

关键词： path planning path re-planning wild environment A-Star algorithm dynamic window approach

Aβ-Aggregation-Generated Blue Autofluorescence Illuminates Senile Plaques as well as Complex Blood and Vascular Pathologies in Alzheimer’s Disease

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Neuroscience Bulletin 2024年第8期40卷 1115-1126页

作者： Hualin Fu Jilong Li Chunlei zhang Peng Du Guo Gao Qiqi Ge Xinping Guan Daxiang Cui Institute of Nano Biomedicine and engineering School of Sensing Science and EngineeringSchool of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China Institute of Marine Equipment Shanghai Jiao Tong UniversityShanghai 200240China National Center for Translational Medicine Shanghai Jiao Tong UniversityShanghai 200240China department of Colorectal Surgery School of MedicineXinhua HospitalShanghai Jiao Tong UniversityShanghai 200092China department of automation Shanghai Jiao Tong UniversityShanghai 200240China The Key Laboratory of System Control and Information Processing Ministry of EducationShanghai 200240China

Senile plaque blue autofluorescence was discovered around 40 years ago,however,its impact on Alzheimer’s disease(AD)pathology has not been fully *** analyzed senile plaques with immunohistochemistry and fluorescence imaging on AD brain sections and also Aβ aggregation in *** DAPI or Hoechst staining,the nuclear blue fluorescence could only be correctly assigned after subtracting the blue plaque *** flower-like structures wrapping dense-core blue fluorescence formed by cathepsin D staining could not be considered central-nucleated neurons with defective lysosomes since there was no nuclear staining in the plaque core when the blue autofluorescence was *** Aβ self-oligomers and Aβ/hemoglobin heterocomplexes generated blue *** Aβ amyloid blue autofluorescence not only labels senile plaques but also illustrates red cell aggregation,hemolysis,cerebral amyloid angiopathy,vascular plaques,vascular adhesions,and *** summary,we conclude that Aβ-aggregation-generated blue autofluorescence is an excellent multi-amyloidosis marker in Alzheimer’s disease.

关键词： Senile plaque Blue autofluorescence Aβ Amyloid aggregation Hemoglobin Cathepsin D.Microaneurysm Alzheimer's disease

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甲基叔丁基醚反应精馏过程联合控制方案设计

石油化工 2004年第11期33卷 1063-1069页

作者：张猛徐用懋清华大学自动化系过程控制工程研究所北京100084

基于非平衡级假设建立了甲基叔丁基醚反应精馏过程的动态严格机理模型。在过程模型基础上进行了过程控制方案的设计,提出了一种基于醇烯比软测量模型的产品质量／转化率联合控制方案,并通过仿真计算和其它常规控制方案进行了对比。结果... 详细信息

基于非平衡级假设建立了甲基叔丁基醚反应精馏过程的动态严格机理模型。在过程模型基础上进行了过程控制方案的设计,提出了一种基于醇烯比软测量模型的产品质量／转化率联合控制方案,并通过仿真计算和其它常规控制方案进行了对比。结果表明,该联合控制方案优于单端质量控制方案,能够有效满足MTBE反应精馏过程的多指标控制要求。

关键词：反应精馏甲基叔丁基醚非平衡级动态模型联合控制软测量

Online multiple instance regression

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Chinese Physics B 2013年第9期22卷 656-661页

作者：王志岗赵增顺张长水 department of automation Tsinghua UniversityState Key Laboratory of Intelligent Technologie and SystemsTsinghua National Laboratory for Information Science and Technology College of Information and Electrical engineering Shandong University of Science and Technology School of Control Science and engineering Shandong University

The multiple instance regression problem has become a hot research topic recently. There are several approaches to the multiple instance regression problem, such as Salience, Citation KNN, and MI-ClusterRegress. All of these solutions work in batch mode during the training step. However, in practice, examples usually arrive in sequence. Therefore, the training step cannot be accomplished once. In this paper, an online multiple instance regression method ＂OnlineMIR＂ is proposed. OnlineMIR can not only predict the label of a new bag, but also update the current regression model with the latest arrived bag. The experimental results show that OnlineMIR achieves good performances on both synthetic and real data sets.

关键词： mutiple instance regression online learning

Digital twin system framework and information model for industry chain based on industrial Internet

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Frontiers of Information Technology & Electronic engineering 2024年第7期25卷 951-967页

作者： wenxuan WANG Yongqin LIU xudong CHAI Lin zhang School of automation Science and Electrical engineering Beihang UniversityBeijing 100191China department of Control Science and engineering Jilin UniversityChangchun 130012China CASICloud China Aerospace Science and Industry Corporation LimitedBeijing 100080China

The integration of industrial Internet,cloud computing,and big data technology is changing the business and management mode of the industry ***,the industry chain is characterized by a wide range of fields,complex environment,and many factors,which creates a challenge for efficient integration and leveraging of industrial big *** at the integration of physical space and virtual space of the current industry chain,we propose an industry chain digital twin(DT)system framework for the industrial *** addition,an industry chain information model based on a knowledge graph(KG)is proposed to integrate complex and heterogeneous industry chain data and extract industrial ***,the ontology of the industry chain is established,and an entity alignment method based on scientific and technological achievements is ***,the bidirectional encoder representations from Transformers(BERT)based multi-head selection model is proposed for joint entity–relation extraction of industry chain ***,a relation completion model based on a relational graph convolutional network(R-GCN)and a graph sample and aggregate network(GraphSAGE)is proposed which considers both semantic information and graph structure information of *** results show that the performances of the proposed joint entity–relation extraction model and relation completion model are significantly better than those of the ***,an industry chain information model is established based on the data of 18 industry chains in the field of basic machinery,which proves the feasibility of the proposed method.

关键词： Industry chain Digital twin Industrial Internet Knowledge graph Graph neural network

EEG光子处理器——基于衍射光子计算单元的癫痫发作检测

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engineering 2024年第4期35卷 56-66页

作者： Tao Yan Maoqi zhang Hang Chen Sen Wan Kaifeng Shang Haiou zhang xun Cao Xing Lin Qionghai Dai department of automation Tsinghua UniversityBeijing 100084China department of Electronic engineering Tsinghua UniversityBeijing 100084China Institute for Brain and Cognitive Sciences Tsinghua UniversityBeijing 100084China School of Electronic Science and engineering Nanjing UniversityNanjing 210023China Beijing National Research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China

Electroencephalography(EEG)analysis extracts critical information from brain signals,enabling brain disease diagnosis and providing fundamental support for brain–computer ***,performing an artificial intelligence analysis of EEG signals with high energy efficiency poses significant challenges for electronic processors on edge computing devices,especially with large neural network ***,we propose an EEG opto-processor based on diffractive photonic computing units(DPUs)to process extracranial and intracranial EEG signals effectively and to detect epileptic *** signals of the EEG channels within a second-time window are optically encoded as inputs to the constructed diffractive neural networks for classification,which monitors the brain state to identify symptoms of an epileptic *** developed both free-space and integrated DPUs as edge computing systems and demonstrated their applications for real-time epileptic seizure detection using benchmark datasets,that is,the Children’s Hospital Boston(CHB)–Massachusetts Institute of Technology(MIT)extracranial and Epilepsy-iEEG-Multicenter intracranial EEG datasets,with excellent computing performance *** with the channel selection mechanism,both numerical evaluations and experimental results validated the sufficiently high classification accuracies of the proposed opto-processors for supervising clinical *** study opens a new research direction for utilizing photonic computing techniques to process large-scale EEG signals and promote broader applications.

关键词： Epileptic seizure detection EEG analysis Diffractive photonic computing unit Photonic computing

Wearable multichannel-active pressurized pulse sensing platform Yunlong

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Microsystems & Nanoengineering 2024年第3期10卷 283-292页

作者： Zhao Qingxia Sun Shixuan Mei Libo Gao Xikuan zhang Zekun Yang xueli Nan Haiyan zhang Chenyang xue Junyang Li Pen-Tung Sah Institute of Micro-Nano Science and Technology Xiamen University361102 XiamenChina Discipline of Intelligent Instrument and Equipment Xiamen University361102 XiamenChina department of Electronic engineering Ocean University of China266000 QingdaoChina School of automation and Software engineering Shanxi University030006 TaiyuanChina Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province(IKKEM) 361005 XiamenChina Key Laboratory of Instrumentation Science and Dynamic Measurement Ministry of Education North University of China030051 TaiyuanChina Science and Technology on Vacuum Technology and Physics Laboratory Lanzhou Institute of PhysicsChinese Academy of Space Technology730000 LanzhouChina

With the modernization of traditional Chinese medicine(TCM),creating devices to digitalize aspects of pulse diagnosis has proved to be *** currently available pulse detection devices usually rely on external pressure devices,which are either bulky or poorly integrated,hindering their practical *** this work,we propose an innovative wearable active pressure three-channel pulse monitoring device based on TCM pulse diagnosis *** combines a flexible pressure sensor array,flexible airbag array,active pressure control unit,advanced machine learning approach,and a companion mobile application for human–computer *** to the high sensitivity(460.1 kPa^(−1)),high linearity(R^(2)>0.999)and flexibility of the flexible pressure sensors,the device can accurately simulate finger pressure to collect pulse waves(Cun,Guan,and Chi)at different external pressures on the *** addition,by measuring the change in pulse wave amplitude at different pressures,an individual’s blood pressure status can be successfully *** enables truly wearable,actively pressurized,continuous wireless dynamic monitoring of wrist pulse *** innovative and integrated design of this pulse monitoring platform could provide a new paradigm for digitizing aspects of TCM and other smart healthcare systems.

关键词： pulse diagnosis enable