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Femtosecond laser fabrication of 3D vertically aligned micro-pore network on thick-film Li_(4)Ti_(5)O_(12)electrode for high-performance lithium storage

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Journal of Energy Chemistry 2024年第8期95卷 250-262,I0006页

作者： Quansheng Li Xiaofei Sun Xuesong Mei Lingzhi Wang Minxing Yang Jianlei Cui Wenjun Wang State key Laboratory for Manufacturing System Engineering Xi'an Jiaotong UniversityXi'an 710049ShaanxiChina Shaanxi key Laboratory of Intelligent Robots Xi'an Jiaotong UniversityXi'an 710049ShaanxiChina School of Mechanical Engineering Xi'an Jiaotong UniversityXi'an 710049ShaanxiChina

The development of energy storage devices with high energy density relies heavily on thick film electrodes,but it is challenging due to the limited ion transport kinetics inherent in thick ***,we report on the preparation of a directional vertical array of micro-porous transport networks on LTO electrodes using a femtosecond laser processing strategy,enabling directional ion rapid transport and achieving good electrochemical performance in thick film *** three-dimensional(3D)vertically aligned micro-pore networks are innovatively designed,and the structure,kinetics characteristics,and electrochemical performance of the prepared ion transport channels are analyzed and discussed by multiple characterization and testing ***,the rational mechanisms of electrode performance improvement are studied experimentally and simulated from two aspects of structural mechanics and transmission *** ion diffusion coefficient,rate performance at 60 C,and electrode interface area of the laser-optimized 60-15%micro-porous transport network electrodes increase by 25.2 times,2.2 times,and 2.15 times,respectively than those of untreated ***,the preparation of 3D micro-porous transport networks by femtosecond laser on ultra-thick electrodes is a feasible way to develop high-energy *** addition,the unique micro-porous transport network structure can be widely extended to design and explore other high-performance energy materials.

关键词： Femtosecond laser Micro-porous transport networks Laser processing Thick film electrodes Ion transport kinetics

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Local Hybrid Linear State Estimation for Electric Power Systems Using Stream Processing

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1259-1268页

作者： Kang Sun Manyun Huang Zhinong Wei Yuzhang Lin Guoqiang Sun College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China Department of Department of Electrical and Computer Engineering University of Massachusetts LowellLowell MA 01854USA IEEE

The increasing penetration of renewable energy resources with highly fluctuating outputs has placed increasing concern on the accuracy and timeliness of electric power system state estimation(SE).Meanwhile,we note that only a fraction of system states fluctuate at the millisecond level and require to be *** such,refreshing only those states with significant variation would enhance the computational efficiency of SE and make fast-continuous update of states ***,this is difficult to achieve with conventional SE methods,which generally refresh states of the entire system every 4–5 *** this context,we propose a local hybrid linear SE framework using stream processing,in which synchronized measurements received from phasor measurement units(PMUs),and trigger/timingmode measurements received from remote terminal units(RTUs)are used to update the associated local ***,the measurement update process efficiency and timeliness are enhanced by proposing a trigger measurement-based fast dynamic partitioning algorithm for determining the areas of the system with states requiring *** particular,non-iterative hybrid linear formulations with both RTUs and PMUs are employed to solve the local SE *** timeliness,accuracy,and computational efficiency of the proposed method are demonstrated by extensive simulations based on IEEE 118-,300-,and 2383-bus systems.

关键词： Fast dynamic partitioning local hybrid linear state estimation phasor measurement units stream processing timeliness trigger/timing-mode measurements

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Study on concentration distribution and detonation characteristics for non-axisymmetric fuel dispersal

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Defence Technology（防务技术） 2024年第1期31卷 484-495页

作者： Linghui Zeng Zhongqi Wang Xing Chen Jianping Li State key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing100081China College of Environment and Chemical Engineering Sichuan University of Science&EngineeringZigong643000China

The study of non-axisymmetric fuel dispersal and detonation can provide reference for the prevention of industrial cloud explosion accidents and the design of fuel air explosive(FAE).The concentration and detonation fields of 85 kg cylindrical and fan-shaped fuel are investigated by experiments and numerical simulations.A dynamic model of the whole process for fuel dispersal and detonation is *** concentration distribution of fuel is used as the initial condition to calculate the detonation stage,thus solving the initial value problem of detonation *** phase and component changes of fuel cloud at different locations are *** fuel cloud is divided into directions of 0°,90°,135°and 180°.The results show that the maximum cloud radius is 20.94 m in 135°and the minimum is 12.04 m in 0°.The diameter of the detonation fireball is 53.6 m,and the peak temperature is 3455 *** highest peak overpressure is 3.44 MPa in 0°and the lowest is 2.97 MPa in 135°.The proportion of liquid phase in 0°is22.90%,and the fuel loss is 11.8% and 9% higher than that in 135°and cylindrical charge,*** stable propagation distance of blast wave in 135°is 42.50% longer than 0°and 28.37% longer than cylindrical charge.

关键词： Fuel dispersal Concentration distribution Detonation characteristic Fuel loss Numerical simulation

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Towards High-Performance Graph Processing: From a Hardware/Software Co-Design Perspective

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Journal of Computer Science & Technology 2024年第2期39卷 245-266页

作者：廖小飞赵文举金海姚鹏程黄禹王庆刚赵进郑龙张宇邵志远 national Engineering research Center for Big Data Technology and System School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan 430074China Services Computing Technology and System Laboratory School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan 430074China Cluster and Grid Computing Laboratory School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China Zhejiang Lab Hangzhou 311121China

Graph processing has been widely used in many scenarios,from scientific computing to artificial *** processing exhibits irregular computational parallelism and random memory accesses,unlike traditional ***,running graph processing workloads on conventional architectures(e.g.,CPUs and GPUs)often shows a significantly low compute-memory ratio with few performance benefits,which can be,in many cases,even slower than a specialized single-thread graph *** domain-specific hardware designs are essential for graph processing,it is still challenging to transform the hardware capability to performance boost without coupled software *** article presents a graph processing ecosystem from hardware to *** start by introducing a series of hardware accelerators as the foundation of this ***,the codesigned parallel graph systems and their distributed techniques are presented to support graph ***,we introduce our efforts on novel graph applications and hardware *** results show that various graph applications can be efficiently accelerated in this graph processing ecosystem.

关键词： graph processing hardware accelerator software system high performance ecosystem

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Quantum vector DC magnetometry via selective phase accumulation

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Science china(Physics,Mechanics & Astronomy) 2024年第10期67卷 12-22页

作者： Min Zhuang Sijie Chen Jiahao Huang Chaohong Lee Institute of Quantum Precision Measurement State Key Laboratory of Radio Frequency Heterogeneous IntegrationCollege of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhen 518060China Quantum Science Center of Guangdong-Hong Kong-Macao Greater Bay Area(Guangdong) Shenzhen 518045China Laboratory of Quantum Engineering and Quantum Metrology School of Physics and AstronomySun Yat-sen University(Zhuhai Campus)Zhuhai 519082China

Precision measurement of magnetic fields is a crucial issue in both fundamental scientific research and practical sensing *** sensitive detection of a vector magnetic field poses a significant challenge in quantum magnetometry,particularly in estimating a vector DC magnetic field with high ***,we propose a comprehensive protocol for quantum vector DC magnetometry,utilizing selective phase accumulation in both non-entangled and entangled quantum *** upon the principles of Ramsey interferometry,our protocol enables the selective accumulation of phase for a specific magnetic field component by incorporating a meticulously designed pulse *** the individual measurement scheme,we employ three individual quantum interferometries to independently estimate each of the three magnetic field ***,in the simultaneous measurement scheme,the application of a pulse sequence along different directions enables the simultaneous estimation of all three magnetic field components using only one quantum ***,by employing an entangled state(such as the Greenberger-Horne-Zeilinger state)as the input state,the measurement precisions of all three components may reach the Heisenberg *** study not only establishes a general protocol for measuring vector magnetic fields using quantum probes,but also presents a viable pathway for achieving entanglement-enhanced multi-parameter estimation.

关键词： magnetometry quantum interferometry entanglement-enhanced quantum metrology

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Alarm Log Data Augmentation Algorithm Based on a GAN Model and Apriori

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Journal of Computer Science & Technology 2024年第4期39卷 951-966页

作者： Yang Yang Yu-Ting Li Yong-Hua Huo Zhi-Peng Gao Lan-Lan Rui State key Laboratory of Network and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China The 54th research Institute of china Electronics Technology Group Corporation Shijiazhuang 050081China

The complexity of alarm detection and diagnosis tasks often results in a lack of alarm log *** to the strong rule associations inherent in alarm log data,existing data augmentation algorithms cannot obtain good results for alarm log *** address this problem,this paper introduces a new algorithm for augmenting alarm log data,termed APRGAN,which combines a generative adversarial network(GAN)with the Apriori *** generates alarm log data under the guidance of rules mined by the rule ***,we propose a new dynamic updating mechanism to alleviate the mode collapse problem of the *** addition to updating the real reference dataset used to train the discriminator in the GAN,we dynamically update the parameters and the rule set of the Apriori algorithm according to the data generated in each *** extensive experimentation on two public datasets,it is demonstrated that APRGAN surpasses other data augmentation algorithms in the domain with respect to alarm log data augmentation,as evidenced by its superior performance on metrics such as BLEU,ROUGE,and METEOR.

关键词： data augmentation alarm log data Apriori generative adversarial network(GAN)

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Review on the recent progress of nearly zero energy building frontiers in china

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Science china(Technological Sciences) 2024年第9期67卷 2620-2636页

作者： LYU YanJie XU Wei ZHANG ShiCong SUN DeYu HOU YueBin china Academy of Building research Beijing 100013China

Energy efficiency improvement in Chinese construction has progressed rapidly over the past two *** zero energy buildings(NZEBs),as an integrated solution for energy-efficient construction,have gained significant attention during china's 13th Five-Year Plan period,with continuous maturation of the technical *** this study,a research framework built upon the accomplishments of china's national key research and development program is developed,and an in-depth analysis of the most cutting-edge research is provided by thoroughly reviewing the work conducted *** NZEB in china has been categorized into three stages based on the characteristics of technological development:(1)definition and standards,(2)demonstration and promotion,and(3)cross-domain *** study discerns four noteworthy development trends by examining comprehensive data spanning the last decade from 100 NZEB and zero energy ***,a comprehensive analysis of essential technology advancements in line with these identified trends is *** issues and challenges arising from the increased application of renewable energy in the context of china's carbon peak and carbon neutrality goals have also been ***,based on this analysis,the challenges and corresponding suggestions for future research directions were proposed to help guide future studies exploring emerging trends in the NZEB field.

关键词： nearly zero energy building energy efficiency load flexibility heat pump renewable energy

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A comparative study of data-driven battery capacity estimation based on partial charging curves

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Journal of Energy Chemistry 2024年第1期88卷 409-420,I0010页

作者： Chuanping Lin Jun Xu Delong Jiang Jiayang Hou Ying Liang Xianggong Zhang Enhu Li Xuesong Mei State key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong UniversityXi’an 710049ShaanxiChina Shaanxi key Laboratory of Intelligent Robots School of Mechanical EngineeringXi’an Jiaotong UniversityXi’an 710049ShaanxiChina Department of Electrical Engineering and Automation Luoyang Institute of Science and TechnologyLuoyang 471023HenanChina Wuhan Institute of Marine Electric Propulsion China State Shipbuilding Corporation LimitedWuhan 430064HubeiChina Gresgying Digital Technology Ltd. Xi’an 710086ShaanxiChina

With its generality and practicality, the combination of partial charging curves and machine learning(ML) for battery capacity estimation has attracted widespread attention. However, a clear classification,fair comparison, and performance rationalization of these methods are lacking, due to the scattered existing studies. To address these issues, we develop 20 capacity estimation methods from three perspectives:charging sequence construction, input forms, and ML models. 22,582 charging curves are generated from 44 cells with different battery chemistry and operating conditions to validate the performance. Through comprehensive and unbiased comparison, the long short-term memory(LSTM) based neural network exhibits the best accuracy and robustness. Across all 6503 tested samples, the mean absolute percentage error(MAPE) for capacity estimation using LSTM is 0.61%, with a maximum error of only 3.94%. Even with the addition of 3 m V voltage noise or the extension of sampling intervals to 60 s, the average MAPE remains below 2%. Furthermore, the charging sequences are provided with physical explanations related to battery degradation to enhance confidence in their application. Recommendations for using other competitive methods are also presented. This work provides valuable insights and guidance for estimating battery capacity based on partial charging curves.

关键词： Lithium-ion battery Partial charging curves Capacity estimation Data-driven Sampling frequency

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International standard of Traditional Chinese Medicine Techniques: Traditional Chinese Medicine guidelines for acute primary headache(2022)

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Journal of Traditional Chinese Medicine 2024年第4期44卷 839-850页

作者： YAO Yuning CAO Kegang ZHANG Genming LIU Jianping CHEN Wei CAO Junling YANG Wenming YAN Yongmei GENG Chang JU Yi ZHAO Dexi QU Miao LI Xiaoli SUN Li HAN Zhenyun HE Liyun CUI Fangyuan FU Caihong ZHOU Bo LIAO Shuqin Department of Neurology Dongzhimen Hospital of Beijing University of Chinese MedicineBeijing 100007China Centre for Evidence-Based Chinese Medicine Beijing University of Chinese MedicineBeijing 100029Chin Encephalopathy center First Affiliated Hospital of Anhui University of Chinese MedicineHefei 230031China Department of Neurology Affiliated Hospital of Shaanxi University of Chinese MedicineXi'an 710077China Department of Neurology Beijing Changping District Hospital of Traditional Chinese MedicineBeijing 102299China Neurology center Beijing Tiantan HospitalCapital Medical UniversityBeijing 100050China Department of Neurology Affiliated Hospital of Changchun University of Chinese MedicineChangchun 130021China Department of Neurology Xuanwu HospitalCapital Medical UniversityBeijing 100053Chin Department of Neurology Beijing University of Chinese Medicine Third Affiliated HospitalBeijing 100029China Department of Geriatrics Jilin Academy of Traditional Chinese MedicineChangchun 130012China Department of Neurology Shenzhen Hospital of Beijing University of Chinese MedicineShenzhen 518172China Institute of Basic research in Clinical Medicine China Academy Of Chinese Medical SciencesBeijing 100700Chin Department of Rehabilitation Shunyi HospitalBeijing Traditional Chinese Medicine HospitalBeijng 101300China Department of Neurology Xiyuan Hospital of China Academy of Chinese Medical SciencesBeijing 100091China

OBJECTIVE:To summarize the evidence from Traditional Chinese Medicine(TCM)practice in the treatment of acute primary headache and provide clinical practice ***:The guidelines were developed in accordance with the World Health Organization guideline development *** the establishment of steering committee,panel and the registration and protocol formulation,the evidence on TCM for acute primary headache from published guidelines,clinical evidence,and expert experience and consensus were *** grading of recommendations assessment,development and evaluation method was used to grade the evidence and make the ***:Based on the available evidence,the guidelines recommended three TCM herbal decoctions,six Chinese patent medicines,and two kinds of external application of Chinese herbal *** recommendations based on the expert experience and consensus were also included in the ***:TCM diagnosis and treatment of decoction,Chinese patent medicine and external application for treating acute primary headache were *** hope these guidelines will be helpful in standardize the TCM acute treatment of primary headache.

关键词： medicine,Chinese traditional acute primary headache practice guideline

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Evaluation of UAV spraying quality based on 1D-CNN model and wireless multi-sensors system

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Information Processing in Agriculture 2024年第1期11卷 65-79页

作者： Ziyuan Hao Minzan Li Wei Yang Xinze Li key Laboratory of Smart Agriculture Systems Ministry of EducationChina Agricultural UniversityBeijing 100083PR China

The droplet deposition is a key index to evaluate the quality of unmanned aerial vehicle(UAV)*** detection of the droplet deposition is time-consuming and costly,therefore,it is difficult to achieve large-scale and rapid acquisition in the *** solve the above problems,a droplet deposition acquisition system(DDAS)was *** was composed of the multiple sensors,processing units,remote server database and Android-based software.A droplet deposition prediction model based on field experimental data was established by using a one-dimensional convolutional neural network(1D-CNN)algorithm,and the effects of different inputs on the prediction ability of the model were *** results showed that adding temperature and humidity data to the inputs can achieve higher prediction accuracy than only using UAV spraying operation parameters and wind speed data as the inputs to the *** addition,the prediction accuracy of the 1D-CNN model was the highest when compared with other models such as back propagation neural network,multiple correlation vector machine,and multiple linear *** 1D-CNN model was embedded into the DDAS,and the evaluation experiments were carried out in the *** correlation analysis was conducted between two datasets of the droplet deposition obtained by the DDAS and water sensitive paper(WSP),*** R2 was 0.924,and the RMSE was 0.026μL/*** is proved that the droplet deposition values obtained by the DDAS and WSP have high consistency,and the DDAS developed can provide an auxiliary solution for the intelligent evaluation of UAV spraying quality.

关键词： UAV Spraying quality Droplet deposition 1D-CNN model Sensor

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