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Joint Estimation of SOH and RUL for Lithium-Ion Batteries Based on Improved Twin Support Vector Machineh

Energy Engineering 2025年第1期122卷 243-264页

作者： Liyao Yang Hongyan Ma Yingda Zhang Wei He School of Electrical and Information Engineering Beijing University of Civil Engineering and ArchitectureBeijing100044China institute of Distributed Energy Storage Safety Big data Beijing100044China Beijing Key Laboratory of Intelligent processing for Building Big data Beijing100044China

Accurately estimating the State of Health(SOH)and Remaining Useful Life(RUL)of lithium-ion batteries(LIBs)is crucial for the continuous and stable operation of battery management ***,due to the complex internal chemical systems of LIBs and the nonlinear degradation of their performance,direct measurement of SOH and RUL is *** address these issues,the Twin Support Vector Machine(TWSVM)method is proposed to predict SOH and ***,the constant current charging time of the lithium battery is extracted as a health indicator(HI),decomposed using Variational Modal Decomposition(VMD),and feature correlations are computed using Importance of Random Forest Features(RF)to maximize the extraction of critical factors influencing battery performance ***,to enhance the global search capability of the Convolution Optimization Algorithm(COA),improvements are made using Good Point Set theory and the Differential Evolution *** Improved Convolution Optimization Algorithm(ICOA)is employed to optimize TWSVM parameters for constructing SOH and RUL prediction ***,the proposed models are validated using NASA and CALCE lithium-ion battery *** results demonstrate that the proposed models achieve an RMSE not exceeding 0.007 and an MAPE not exceeding 0.0082 for SOH and RUL prediction,with a relative error in RUL prediction within the range of[-1.8%,2%].Compared to other models,the proposed model not only exhibits superior fitting capability but also demonstrates robust performance.

关键词： State of health remaining useful life variational modal decomposition random forest twin support vector machine convolutional optimization algorithm

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Assessing the corrosion protection property of coatings loaded with corrosion inhibitors using the real-time atmospheric corrosion monitoring technique

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 119-126页

作者： Xiaoxue Wang Lulu Jin Jinke Wang Rongqiao Wang Xiuchun Liu Kai Gao Jingli Sun Yong Yuan Lingwei Ma Hongchang Qian Dawei Zhang School of Energy and Power Engineering Beihang UniversityBeijing 100191China Beijing institute of Space Long March Vehicle Beijing 100076China National Materials Corrosion and Protection data Center University of Science and Technology BeijingBeijing 100083China institute of Materials Intelligent Technology Liaoning Academy of MaterialsShenyang 110004China Shanghai Spaceflight Precision Machinery institute Shanghai 201600China

The atmospheric corrosion monitoring(ACM)technique has been widely employed to track the real-time corrosion behavior of metal ***,limited studies have applied ACM to the corrosion protection properties of organic *** study compared a bare epoxy coating with one containing zinc phosphate corrosion inhibitors,both applied on ACM sensors,to observe their corrosion protection properties over *** with artificial damage via scratches were exposed to immersion and alternating dry and wet environments,which allowed for monitoring galvanic corrosion currents in *** the corrosion tests,the ACM currents of the zinc phosphate/epoxy coating were considerably lower than those of the blank epoxy *** trend in ACM current variations closely matched the results obtained from regular electrochemical tests and surface *** alignment highlights the potential of the ACM technique in evaluating the corrosion protection capabilities of organic *** with the blank epoxy coating,the zinc phosphate/epoxy coating showed much-decreased ACM current values that confirmed the effective inhibition of zinc phosphate against steel corrosion beneath the damaged coating.

关键词： atmospheric corrosion monitoring technology corrosion inhibitor coating carbon steel corrosion protection

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Research on acupuncture robots based on the OptiTrack motion capture system and a robotic arm

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Journal of Traditional Chinese Medicine 2025年第1期45卷 201-212页

作者： HE Ling YANG Hui LI Kang WANG Junwen SUN Zhibo YANG Jinsheng ZHANG Jing College of Biomedical Engineering Sichuan University West China Biomedical Big data Center Sichuan University institute of Basic Theory for Chinese Medicine institute of Basic Theory for Chinese Medicine China Academy of Chinese Medical Sciences

OBJECTIVE: To propose an automatic acupuncture robot system for performing acupuncture operations. METHODS: The acupuncture robot system consists of three components: automatic acupoint localization, acupuncture manipulations, and De Qi sensation detection. The OptiTrack motion capture system is used to locate acupoints, which are then translated into coordinates in the robot control system. A flexible collaborative robot with an intelligent gripper is then used to perform acupuncture manipulations with high precision. In addition, a De Qi sensation detection system is proposed to evaluate the effect of acupuncture. To verify the stability of the designed acupuncture robot, acupoints' coordinates localized by the acupuncture robot are compared with the Gold Standard labeled by a professional acupuncturist using significant level tests. RESULTS: Through repeated experiments for eight acupoints, the acupuncture robot achieved a positioning error within 3.3 mm, which is within the allowable range of needle extraction and acupoint insertion. During needle insertion, the robot arm followed the prescribed trajectory with a mean deviation distance of 0.02 mm and a deviation angle of less than 0.15°. The results of the lifting thrusting operation in the Xingzhen process show that the mean acupuncture depth error of the designed acupuncture robot is approximately 2 mm, which is within the recommended depth range for the Xingzhen operation. In addition, the average detection accuracy of the De Qi keywords is 94.52%, which meets the requirements of acupuncture effect testing for different dialects. CONCLUSION: The proposed acupuncture robot system streamlines the acupuncture process, increases efficiency, and reduces practitioner fatigue, while also allowing for the quantification of acupuncture manipulations and evaluation of therapeutic effects. The development of an acupuncture robot system has the potential to revolutionize low back pain treatment and improve patient outco

关键词： detection acupoint location acupuncture quantification acupuncture robot

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Evaluation of the satellite's wake effect on the electric field detector onboard the CSES-01 satellite

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Earth and Planetary Physics 2025年第02期 400-409页

作者： JianPing Huang ZongYu Li Zhong Li XingHong Zhu JunGang Lei YuanQing Miao WenJing Li National institute of Natural Hazards Ministry of Emergency Management of China institute of Intelligent Emergency Information processing Institute of Disaster Prevention School of Information Engineering Qingdao Institute of Technology China Satellite Communications Co.Ltd. Lanzhou institute of Physics DFH Satellite Co.Ltd.

This study aimed to evaluate the wake effect on the electric field detector(EFD) onboard the China Seismo-Electromagnetic Satellite(CSES-01). Through a series of experiments and analyses, we confirmed that the disturbance phenomenon from probe B of the EFD is not caused by the boom layout. To validate and determine whether it is influenced by the wake effect, we conducted two experiments. In the first experiment, the entire satellite platform underwent a 90° counterclockwise yaw maneuver to allow probe B to avoid the plasma wake region. We then verified whether the disturbance was improved. In the second experiment, the satellite platform performed a 180° counterclockwise yaw maneuver, positioning probe B on the ram side of the satellite and completely avoiding all satellite wakes. The plasma wake effect of the satellite did not significantly influence the spherical probes of the EFD because the measurement accuracy stayed relatively stable under the two experiments, despite the observed abnormalities in the operating state of spherical probe B. This consistency in performance is important for electric field detection missions because the spatial electric field vector data obtained from these probes continue to effectively reflect information on spatial electromagnetic disturbances. These two experimental results showed that probe B consistently exhibited data jump phenomena under various maneuver states, whereas probes A, C, and D did not display such phenomena in any maneuver state.

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A New Adaptive Prediction Algorithm for Judicial Sentencing with Empirical Studies

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Journal of Systems Science & Complexity 2025年第01期 3-20页

作者： DAI Ruifen WANG Fang GUO Lei data Science institute Shandong University Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences

With the development and applications of the Smart Court System(SCS) in China, the reliability and accuracy of legal artificial intelligence have become focal points in recent years. Notably,criminal sentencing prediction, a significant component of the SCS, has also garnered widespread attention. According to the Chinese criminal law, actual sentencing data exhibits a saturated property due to statutory penalty ranges, but this mechanism has been ignored by most existing studies. Given this, the authors propose a sentencing prediction model that combines judicial sentencing mechanisms including saturated outputs and floating boundaries with neural networks. Building on the saturated structure of our model, a more effective adaptive prediction algorithm will be constructed based on the fusion of several key ideas and techniques that include the utilization of the L1 loss together with the corresponding gradient update strategy, a data pre-processing method based on large language model to extract semantically complex sentencing elements using prior legal knowledge, the choice of appropriate initial conditions for the learning algorithm and the construction of a double-hidden-layer network structure. An empirical study on the crime of disguising or concealing proceeds of crime demonstrates that our method can achieve superior sentencing prediction accuracy and significantly outperform common baseline methods.

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Study on the off situ reconstruction of the core neutron field based on dual-task hybrid network architecture

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Nuclear Science and Techniques 2025年第1期36卷 175-191页

作者： Pei Cao Hui Ding Cheng-Long Cao Zi-Hui Yang Guo-Min Sun School of Artificial Intelligence and Big data Hefei UniversityHefei 230001China College of Electronic Engineering National University of Defense TechnologyHefei 230001China institute of Nuclear Energy Safety Technology HFIPSChinese Academy of SciencesHefei 230027China

The off situ accurate reconstruction of the core neutron field is an important step in realizing real-time reactor *** existing off situ reconstruction method of the neutron field is only applicable to cases wherein a single region changes at a specified location of the ***,when the neutron field changes are complex,the accurate identification of the individual changed regions becomes challenging,which seriously affects the accuracy and stability of the neutron field ***,this study proposed a dual-task hybrid network architecture(DTHNet)for off situ reconstruction of the core neutron field,which trained the outermost assembly reconstruction task and the core reconstruction task jointly such that the former could assist the latter in the reconstruction of the core neutron field under core complex ***,to exploit the characteristics of the ex-core detection signals,this study designed a global-local feature upsampling module that efficiently distributed the ex-core detection signals to each reconstruction unit to improve the accuracy and stability of *** experiments were performed on the simulation datasets of the CLEAR-I reactor to verify the accuracy and stability of the proposed *** results showed that when the location uncertainty of a single region did not exceed nine and the number of multiple changed regions did not exceed ***,the reconstructed ARD was within 2%,RD_(max)was maintained within 17.5%,and the number of RD≥10%was maintained within ***,when the noise interference of the ex-core detection signals was within±2%,although the average number of RD≥10%increased to 16,the average ARD was still within in 2%,and the average RD_(max)was within 22%.Collectively,these results show that,theoretically,the DTHNet can accurately and stably reconstruct most of the neutron field under certain complex core changes.

关键词： Real-time reactor monitoring Core neutron field reconstruction Dual-task hybrid network architecture Global-local feature upsampling module

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The GECAM ground search system for gamma-ray transients

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Science China(Physics,Mechanics & Astronomy) 2025年第3期68卷 161-174页

作者： Ce Cai Yan-Qiu Zhang Shao-Lin Xiong Ping Wang Jian-Hui Li Xiao-Bo Li Cheng-Kui Li Yue Huang Shi-Jie Zheng Li-Ming Song Shuo Xiao Qi-Bin Yi Yi Zhao Sheng-Lun Xie Rui Qiao Yan-Qi Du Zhi-Wei Guo Wang-Chen Xue Chao Zheng Jia-Cong Liu Chen-Wei Wang Wen-Jun Tan Yue Wang Jin-Peng Zhang Chao-Yang Li Guo-Ying Zhao Xiao-Yun Zhao Xiao-Lu Zhang Zhen Zhang Wen-Xi Peng Xiang Ma Jing-Yan Shi Dong-Ya Guo Jin Wang Xin-Qiao Li Xiang-Yang Wen Zheng-Hua An Fan Zhang College of Physics and Hebei Key Laboratory of Photophysics Research and Application Hebei Normal UniversityShijiazhuang050024China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing100049China University of Chinese Academy of Sciences Beijing100049China School of Physics and Electronic Science Guizhou Normal UniversityGuiyang550001China Guizhou Provincial Key Laboratory of Radio Astronomy and data processing Guizhou Normal UniversityGuiyang550001China School of Physics and Optoelectronics Xiangtan UniversityXiangtan411105China School of Computer and Information Dezhou UniversityDezhou253023China institute of Astrophysics Central China Normal UniversityWuhan430079China

In the era of time-domain,multi-messenger astronomy,the detection of transient events on the high-energy electromagnetic sky has become more important than *** gravitational wave high-energy electromagnetic counterpart all-sky monitor(GECAM)is a dedicated mission to monitor gamma-ray transients,launched in December,2020.A real-time on-board trigger and location software,using the traditional signal-to-noise ratio(SNR)method for blind search,is constrained to relatively bright signals due to the limitations in on-board computing resources and the need for real-time *** this work,we developed a ground-based pipeline for GECAM to search for various transients,especially for weak bursts missed by on-board *** pipeline includes both automatic and manual mode,offering options for blind search and targeted *** targeted search is specifically designed to search for interesting weak bursts,such as gravitational wave-associated gamma-ray bursts(GRBs).From the ground search of the data in the first year,GECAM has been triggered by 54 GRBs and other transients,including soft gamma-ray repeaters,X-ray binaries,solar flares,terrestrial gamma-ray *** report the properties of each type of triggers,such as trigger time and light *** this search pipeline and assuming a soft Band spectrum,the GRB detection sensitivity of GECAM is increased to about 1.1×10^(-8)erg cm^(-2)s^(-1)(10-1000 ke V,burst duration of 20 s).These results demonstrate that the GECAM ground search system(both blind search and targeted search)is a versatile pipeline to recover true astrophysical signals which were too weak to be found in the on-board search.

关键词： gamma-ray sources gravitational waves data analysis gamma-ray telescopes

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Near-perfect replication on amorphous alloys through active force modulation based on machine learning/neural network parameter prediction

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Science China(Physics,Mechanics & Astronomy) 2025年第1期68卷 177-187页

作者： Senkuan Meng Zheng Wang Ruisong Zhu Ruijie Liu Jiang Ma Lina Hu Weihua Wang Key Laboratory for Liquid-Solid Structural Evolution and processing of Materials(Ministry of Education) School of Materials Science and EngineeringShandong UniversityJinan 250061China College of Mechatronics and Control Engineering Shenzhen UniversityShenzhen 518060China Songshan Lake Materials Laboratory Dongguan 523808China institute of Physics Chinese Academy of SciencesBeijing 100190China

As a microforming technique,micro/nano-structural replication possesses advantages of high precision and *** the remarkable superplasticity in the supercooled liquid region,amorphous alloys or metallic glasses(MGs)are regarded as ideal materials for miniature ***,due to the intrinsic metastable nature of supercooled liquids,the design of imprinting processes for MGs poses a *** the past,process parameters have largely relied on trial-and-error *** this work,a low-frequency active force modulation system is employed to apply a stable,precise,and real-time feedback stress field for imprinting of MG ***-frequency vibrations can facilitate the filling of microstructures on the template surface by reducing the effective viscosity of the supercooled *** the dataset composed of orthogonal experiments,a machine learning strategy based on back-propagation(BP)neural networks was utilized to construct a 3D parameter space for temperature,stress,and time,and to predict the corresponding filling ***,the optimal combination of imprinting process parameters was identified,and its filling ratio was experimentally validated to reach as high as *** near-perfect replication of microstructures confirms the superiority of the active force modulation system and the data-driven strategy of machine learning-assisted parameter *** the same time,this one-step microforming process provides a new approach to addressing the accuracy-cost trade-off dilemma in precision manufacturing.

关键词： metallic glass amorphous alloy microforming imprinting machine learning

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Unraveling the role of long non‑coding RNAs in chronic heat stress‑induced muscle injury in broilers

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Journal of Animal Science and Biotechnology 2025年第1期16卷 206-217页

作者： Zhen Liu Yingsen Liu Tong Xing Jiaolong Li Lin Zhang Liang Zhao Yun Jiang Feng Gao College of Animal Science and Technology Key Laboratory of Animal Origin Food Production and Safety Guarantee of Jiangsu ProvinceJiangsu Collaborative Innovation Center of Meat Production and ProcessingQuality and Safety ControlNanjing Agricultural UniversityNanjing 210095People’s Republic of China Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering Institute of Animal Husbandry and Veterinary MedicineAnhui Academy of Agricultural SciencesHefei 230031China institute of Agro‑Products processing Jiangsu Academy of Agricultural SciencesNanjing 210014People’s Republic of China School of Food Science and Pharmaceutical Engineering Nanjing Normal UniversityNanjing 210023People’s Republic of China

Background Chronic heat stress(CHS)is a detrimental environmental stressor with a negative impact on the meat quality of ***,the underlying mechanisms are not fully *** study investigates the effects of CHS on long non-coding RNA(lncRNA)expression and muscle injury in broilers,with a focus on its implications for meat *** The results showed that CHS diminished breast muscle yield,elevated abdominal fat deposition,induced cellular apoptosis(Psignal transduc-tion,and metabolic ***,the apoptosis-related pathway P53,lysosomes,and the fibrosis-related gene TGF-β2 were significantly upregulated by *** These findings indicate that chronic heat stress induces cellular apoptosis and muscle injury through lncRNA,leading to connective tissue accumulation,which likely contributes to reduced breast muscle yield and meat quality in broilers.

关键词： Apoptosis Broiler Chronic heat stress LncRNA Muscle

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RIS-Assisted Receive Spatial Modulation for High-Speed Railway Communication

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China Communications 2025年第2期22卷 269-282页

作者： Ding Qingfeng Wang Song Fu Tingmei Xi Tao School of Electrical and Automation Engineering East China Jiaotong UniversityNanchang 330013China China Railway Communication and signal Survey&Design institute Co.Ltd Beijing 100071China

In high-speed railway(HSR)wireless communication,the rapid channel changes and limited high-capacity access cause significant impact on the link ***,the Doppler shift caused by high mobility leads to the inter-carrier *** this paper,we propose a reconfigurable intelligent surface(RIS)-assisted receive spatial modulation(SM)scheme based on the spatial-temporal correlated HSR Rician *** characteristics of SM and the phase shift adjustment of RIS are used to mitigate the performance degradation in high mobility *** the influence of channel spatial-temporal correlation and Doppler shift,the effects of different parameters on average bit error rate(BER)performance and upper bound of ergodic capacity are ***,a joint antenna and RIS-unit selection algorithm based on the antenna removal method is proposed to increase the capacity performance of communication *** results show that the proposed RIS-assisted receive SM scheme can maintain high transmission capacity compared to the conventional HSR-SM scheme,whereas the degradation of BER performance can be compensated by arranging a large number of *** addition,selecting more RIS-units has better capacity performance than activating more antennas in the low signal-to-noise ratio regions.

关键词： average bit error rat high-speed railway joint antenna and RIS-unit selection receive spatial modulation reconfigurable intelligent surface

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