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Accuracy comparison and improvement for state of health estimation of lithium-ion battery based on random partial recharges and feature engineering

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Journal of Energy Chemistry 2024年第5期92卷 591-604页

作者： xingjun Li Dan Yu Søren Byg Vilsen Daniel Ioan Stroe Department of Energy Aalborg UniversityAalborg 9220Denmark Department of Mathematical Sciences Aalborg UniversityAalborg 9220Denmark Walker Department of Mechanical Engineering The University of Texas at AustinAustinTX 78712USA

State of health(SOH)estimation of e-mobilities operated in real and dynamic conditions is essential and *** of existing estimations are based on a fixed constant current charging and discharging aging profiles,which overlooked the fact that the charging and discharging profiles are random and not complete in real *** work investigates the influence of feature engineering on the accuracy of different machine learning(ML)-based SOH estimations acting on different recharging sub-profiles where a realistic battery mission profile is *** features were extracted from the battery partial recharging profiles,considering different factors such as starting voltage values,charge amount,and charging sliding ***,features were selected based on a feature selection pipeline consisting of filtering and supervised ML-based subset *** linear regression(MLR),Gaussian process regression(GPR),and support vector regression(SVR)were applied to estimate SOH,and root mean square error(RMSE)was used to evaluate and compare the estimation *** results showed that the feature selection pipeline can improve SOH estimation accuracy by 55.05%,2.57%,and 2.82.for MLR,GPR and SVR *** was demonstrated that the estimation based on partial charging profiles with lower starting voltage,large charge,and large sliding window size is more likely to achieve higher *** work hopes to give some insights into the supervised ML-based feature engineering acting on random partial recharges on SOH estimation performance and tries to fill the gap of effective SOH estimation between theoretical study and real dynamic application.

关键词： Feature engineering Dynamic forklift aging profile State of health comparison Machine learning Lithium-ion batteries

Data-driven diagnosis of high temperature PEM fuel cells based on the electrochemical impedance spectroscopy: Robustness improvement and evaluation

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Journal of Energy Chemistry 2024年第9期96卷 544-558页

作者： Dan Yu xingjun Li Samuel Simon Araya Simon Lennart Sahlin Vincenzo Liso Department of Energy Aalborg UniversityAalborg 9220Denmark Walker Department of Mechanical Engineering The University of Texas at AustinAustinTX 78712USA Materials Research and Technology Development Luxembourg Institute of Science and Technology(LIST)4422 BelvauxLuxembourg

Utilizing machine learning techniques for data-driven diagnosis of high temperature PEM fuel cells is beneficial and meaningful to the system durability. Nevertheless, ensuring the robustness of diagnosis remains a critical and challenging task in real application. To enhance the robustness of diagnosis and achieve a more thorough evaluation of diagnostic performance, a robust diagnostic procedure based on electrochemical impedance spectroscopy (EIS) and a new method for evaluation of the diagnosis robustness was proposed and investigated in this work. To improve the diagnosis robustness: (1) the degradation mechanism of different faults in the high temperature PEM fuel cell was first analyzed via the distribution of relaxation time of EIS to determine the equivalent circuit model (ECM) with better interpretability, simplicity and accuracy;(2. the feature extraction was implemented on the identified parameters of the ECM and extra attention was paid to distinguishing between the long-term normal degradation and other faults;(3) a Siamese Network was adopted to get features with higher robustness in a new embedding. The diagnosis was conducted using 6 classic classification algorithms—support vector machine (SVM), K-nearest neighbor (KNN), logistic regression (LR), decision tree (DT), random forest (RF), and Naive Bayes employing a dataset comprising a total of 1935 collected EIS. To evaluate the robustness of trained models: (1) different levels of errors were added to the features for performance evaluation;(2. a robustness coefficient (Roubust_C) was defined for a quantified and explicit evaluation of the diagnosis robustness. The diagnostic models employing the proposed feature extraction method can not only achieve the higher performance of around 100% but also higher robustness for diagnosis models. Despite the initial performance being similar, the KNN demonstrated a superior robustness after feature selection and re-embedding by triplet-loss method, which sug

关键词： PEM fuel cell Data-driven diagnosis Robustness improvement and evaluation Electrochemical impedance spectroscopy

Water-soluble brown carbon in atmospheric aerosols from the resource-dependent cities:Optical properties,chemical compositions and sources

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Journal of Environmental Sciences 2024年第4期138卷 74-87页

作者： Haoji Wang Yue Su Yangzheng Liu Fei Xie xingjun Zhou Ruihong Yu Changwei Lü Jiang He School of Ecology and Environment Inner Mongolia UniversityHohhot 010021China Institute of Environmental Geology Inner Mongolia UniversityHohhot 010021China Environmental Monitoring Center of Inner Mongolia Hohhot 010011China

As a vital type of light-absorbing aerosol,brown carbon(BrC)presents inherent associations with atmospheric photochemistry and climate ***,the understanding of the chemical and optical properties of BrC is limited,especially in some resource-dependent cities with long heating periods in northwest *** study showed that the annual average abundances of Water-soluble BrC(WS-BrC)were 9.33±7.42.and 8.69±6.2.μg/m^(3)in Baotou and Wuhai and the concentrations,absorption coefficient(Abs_(365)),and mass absorption efficiency(MAE365)of WS-BrC presented significant seasonal patterns,with high values in the heating season and low values in the non-heating season;while showing opposite seasonal trends for the Absorption Angstr?m exponent(AAE_(300-400)).Comparatively,the levels of WS-BrC in developing regions(such as cities in Asia)were higher than those in developed regions(such as cities in Europe and Australia),indicating the significant differences in energy consumption in these *** combining fluorescence excitation-emission matrix(EEM)spectra with the parallel factor(PARAFAC)model,humic-like(C1 and C2.and proteinlike(C3)substances were identified,and accounted for 61.40%±4.66%and 38.6%±3.78%at Baotou,and 60.33%±6.2.%and 39.67%±4.17%at Wuhai,*** results of source apportionment suggested that the potential source regions of WS-BrC varied in heating ***-heating seasons and that the properties of WS-BrC significantly depended on primary emissions(e.g.,combustion emissions)and secondary formation.

关键词： Water-soluble brown carbon Atmospheric aerosols Optical properties PARAFAC Source apportionment

Robust blind image watermarking based on interest points

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虚拟现实与智能硬件（中英文） 2024年第4期6卷 308-322页

作者： Zizhuo WANG Kun HU Chaoyangfan HUANG Zixuan HU Shuo YANG xingjun WANG Tsinghua Shenzhen International Graduate School Tsinghua UniversityShenzhen 518071China

Digital watermarking technology plays an essential role in the work of anti-counterfeiting and ***,image watermarking algorithms are weak against hybrid attacks,especially geometric attacks,such as cropping attacks,rotation attacks,*** propose a robust blind image watermarking algorithm that combines stable interest points and deep learning networks to improve the robustness of the watermarking algorithm ***,to extract more sparse and stable interest points,we use the Superpoint algorithm for generation and design two steps to perform the screening *** first keep the points with the highest possibility in a given region to ensure the sparsity of the points and then filter the robust interest points by hybrid attacks to ensure high *** message is embedded in sub-blocks centered on stable interest points using a deep learning-based *** kinds of attacks and simulated noise are added to the adversarial training to guarantee the robustness of embedded *** use the ConvNext network for watermark extraction and determine the division threshold based on the decoded values of the unembedded *** extensive experimental results,we demonstrate that our proposed algorithm can improve the accuracy of the network in extracting information while ensuring high invisibility between the embedded image and the original cover *** with previous SOTA work reveals that our algorithm can achieve better visual and numerical results on hybrid and geometric attacks.

关键词： Blind watermarking Robust region selection Geometric distortion Deep learning

Roles of THEM4 in the Akt pathway:a double-edged sword

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2024年第7期25卷 541-556页

作者： Wen XIE Weidong LIU Lei WANG Bin ZHU Cong ZHAO Ziling LIAO Yihan LI xingjun JIANG Jie LIU Caiping REN NHC Key Laboratory of Carcinogenesis Department of NeurosurgeryXiangya HospitalCentral South UniversityChangsha 410008China National Clinical Research Center for Geriatric Disorders Xiangya HospitalCentral South UniversityChangsha 410008China The Key Laboratory of Carcinogenesis and Cancer Invasion of the Ministry of Education Cancer Research InstituteSchool of Basic Medical ScienceCentral South UniversityChangsha 410078China Department of Critical Care Medicine Hainan Hospital of Chinese PLA General HospitalHainan Province Clinical Medical CenterSanya 572013China

The protein kinase B(Akt)pathway can regulate the growth,proliferation,and metabolism of tumor cells and stem cells through the activation of multiple downstream target genes,thus affecting the development and treatment of a range of *** superfamily member 4(THEM4),a member of the thioesterase superfamily,is one of the Akt kinase-binding *** studies on the mechanism of cancers and other diseases have shown that THEM4 binds to Akt to regulate its ***,THEM4 was considered an endogenous inhibitor of Akt,which can inhibit the phosphorylation of Akt in diseases such as lung cancer,pancreatic cancer,and liver cancer,but subsequently,THEM4 was shown to promote the proliferation of tumor cells by positively regulating Akt activity in breast cancer and nasopharyngeal carcinoma,which contradicts previous *** these two distinct views,this review summarizes the important roles of THEM4 in the Akt pathway,focusing on THEM4 as an Akt-binding protein and its regulatory relationship with Akt phosphorylation in various diseases,especially *** work provides a better understanding of the roles of THEM4 combined with Akt in the treatment of diseases.

关键词： Protein kinase B(Akt) Thioesterase superfamily member 4(THEM4) Tumor proliferation Tumor metastasis

Versatile photonic molecule switch in multimode microresonators

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Light(Science & Applications) 2024年第3期13卷 498-509页

作者： Zihan Tao Bitao Shen Wencan Li Luwen Xing Haoyu Wang Yichen Wu Yuansheng Tao Yan Zhou Yandong He Chao Peng Haowen Shu xingjun Wang State Key Laboratory of Advanced Optical Communications System and Networks School of ElectronicsPeking UniversityBeijing 100871China College of Engineering Peking UniversityBeijing 100871China School of Integrated Circuits Peking University100871 BejingChina Peking University Yangtze Delta Institute of Optoelectronics Nantong 226010China Frontiers Science Center for Nano-optoelectronics Peking UniversityBeijing 100871China Peng Cheng Laboratory Shenzhen 518055China

Harnessing optical supermode interaction to construct artificial photonic molecules has uncovered a series of fundamental optical phenomena analogous to atomic ***,the distinct energy levels and interactions in such two-level systems were provided by coupled *** reconfigurability is limited,as they often require delicate external field stimuli or mechanically altering the geometric *** highly specific approaches also limit potential ***,we propose a versatile on-chip photonic molecule in a multimode microring,utilizing a flexible regulation methodology to dynamically control the existence and interaction strength of spatial *** transition between single/multi-mode states enables the“switched-off/on”functionality of the photonic molecule,supporting wider generalized applications *** particular,“switched-on”state shows flexible and multidimensional mode splitting control in aspects of both coupling strength and phase difference,equivalent to the *** *** effect.“Switched-off”state allows for perfect low-loss single-mode transition(Qi~10 million)under an ultra-compact bend size(FSR~115 GHz)in a foundry-based silicon *** breaks the stereotyped image of the FSR-Q factor trade-off,enabling ultra-wideband and high-resolution millimeter-wave photonic *** demonstration provides a flexible and portable solution for the integrated photonic molecule system,extending its research scope from fundamental physics to real-world applications such as nonlinear optical signal processing and sixth-generation wireless communication.

关键词： switched multimode millimeter

HPTLC-fluorescent densitometry for screening aflatoxin B1 in millet and buckwheat

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Food Science and Human Wellness 2024年

作者： Xudong Shi xingjun Xi Yuetao Jia Zhijian Wang Jiawei Guo Shiyao Wang Xiaoqian Tang Yisheng Chen College of Food Science and Engineering， Shanxi Agricultural University China National Institute of Standardization Key Laboratory of Detection for Mycotoxins， Ministry of Agriculture and Rural Affairs Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences

Given severe health-hazardous effects of aflatoxin B1 (AFB1) widely occurring in cereal grains and animal feeds， it is highly urgent to develop analytical methods for its rapid screening. In this work， we proposed a simple and high-throughput method for the determination of AFB1 in millet and buckwheat samples using high performance thin layer chromatography (HPTLC) linked to fluorescence densitometry. The first step was to optimize the solid-liquid extraction for the crude clean-up of the samples. The QuEChERS (Quick， Easy， Cheap， Effective， Robust and Safe) extraction strategy was used and different solvent systems for their extraction efficiency of AFB1 from the samples were evaluated. Then， trichloromethane/ethyl acetate (7/3， v/v) was used as the mobile phase to realize the separation of the targeted compound from background noises on silica gel plates. Quantification was readily performed with densitometry in fluorescence mode. In order to fix the optimal excitation wavelength， spectra scanning from 2.0-400 nm was carried out， revealing that 364 nm light gave the highest signal. With the optimized optical system， high sensitivity to AFB1 was achieved， with a limit of detection (LOD) at 3 μg/kg. Apart from that， good linearity (0.999) was obtained within the range of 1-80 ng/band of AFB1. To assess the analysis accuracy， two levels of AFB1 (50 and 100 μg/kg) were spiked into real grain samples. The obtained results showed that the recovery rates were within the range of (81.6–114.0)%. The proof-of-concept results of this work evidenced that HPTLC is a promising analytical tool for the screening of mycotoxin in difficult samples.

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耦合与超越:党建引领基层治理的机制创新与效能提升

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南京社会科学 2024年第7期 27-37页

作者：唐兴军湖北师范大学马克思主义学院湖北黄石435002 湖北师范大学湖北省重点人文社科研究基地湖北黄石435002

在政党引领社会范式以及结构功能分析框架下,将结构耦合、行动耦合与过程耦合作为影响治理效能的关键变量,由此可以提出党建引领基层治理的耦合分析视角。研究发现,党建引领城市基层社会治理的耦合联动通过结构层面的科层化建构、行动... 详细信息

在政党引领社会范式以及结构功能分析框架下,将结构耦合、行动耦合与过程耦合作为影响治理效能的关键变量,由此可以提出党建引领基层治理的耦合分析视角。研究发现,党建引领城市基层社会治理的耦合联动通过结构层面的科层化建构、行动层面的耦合式动员,以及过程层面的“双轨”协作实现,促成了科层化与“超科层”的双重治理体系及超越科层化的治理模式。在耦合实践中,党建引领基层型构起统分结合的治理体制、简约主义的治理制度与平急协作的治理机制,推动了基层治理体系与治理能力的现代化,有助于适应风险社会背景下的复杂治理环境,满足社会多元化的治理需求,全面提升治理效能。同时,也要注重强化基层党组织的自主性与领导力,将其建成引领城市基层治理的坚强战斗堡垒,为中国式现代化实践夯实基层治理的根基。

关键词：党建引领结构耦合行动耦合过程耦合治理效能

新疆洛浦县比孜里墓地M36出土彩绘木棺考释

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考古与文物 2024年第4期 89-100页

作者：胡兴军新疆大学历史学院新疆文物考古研究所

本文通过对新疆洛浦县比孜里墓地出土的彩绘木棺的绘画内容及随葬遗物的分析,认为彩棺具有浓郁的祆教文化因素。结合葬式葬俗、历史文献、遗传DNA等方面综合判断,墓主应是南北朝时期信仰祆教的于阗人。这批资料的发现,为汉唐时期塔里木... 详细信息

本文通过对新疆洛浦县比孜里墓地出土的彩绘木棺的绘画内容及随葬遗物的分析,认为彩棺具有浓郁的祆教文化因素。结合葬式葬俗、历史文献、遗传DNA等方面综合判断,墓主应是南北朝时期信仰祆教的于阗人。这批资料的发现,为汉唐时期塔里木盆地丧葬习俗、宗教信仰、粟特人东渐、丝绸之路东西文化交流传播等方面问题的研究,提供了新的实物资料,具有重要的意义。

关键词：比孜里墓地彩绘木棺祆教