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Behavior Trend Analysis Method of Software Runtime Environment Elements Based on ARIMA

Journal of Physics: Conference Series 2021年第1期1815卷

作者： Qiuying Li Minyan Lu Tingyang Gu School of Reliability & Systems Engineering Beihang University China Science & Technology on Reliability & Environmental Engineering Laboratory Beijing China

Behavior trend analysis method based on auto-regressive integrated moving average (ARIMA) is presented for software runtime environment elements (REEs). The history data of environment element behavior is collected to build behavior trend analysis model. Then, behavior trend of environment elements is predicted before the environment elements actually change. Thus, according to the analysis results, we can determine the corresponding adaptive strategy before the environment elements actually change, which provides a reference for the selection and implementation of active adaptive strategy for the self-adaptive software.

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ZnO/LIG nanocomposites to detect acetone gas at room temperature with high sensitivity and low detection limit

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Chemical engineering Journal 2025年

作者： Li Yang Wenyuan Fu Ya Wang Zhida Wang Longbiao Mao Luxiang Xu Chengpeng Yao Hongyu Zhang Sisi Chen Hui Zhang Huanyu Cheng State Key Laboratory of Reliability and Intelligence of Electrical Equipment School of Health Sciences and Biomedical Engineering Hebei University of Technology Tianjin 300130 China Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction School of Mechanical Engineering Hebei University of Technology Tianjin 300130 China NHC Key Laboratory of Hormones and Development (Tianjin Medical University) Tianjin Key Laboratory of Metabolic Diseases Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology Tianjin 300134 China School of Architecture and Art Hebei University of Technology Tianjin 300130 China State Key Laboratory of Reliability and Intelligence of Electrical Equipment School of Electrical Engineering Hebei University of Technology Tianjin 300130 China Department of Engineering Science and Mechanics The Pennsylvania State University University Park 16802 USA

While the low-cost noninvasive measurements of diabetes based on exhalation diagnosis is of high interest, it is still difficult for the needed gas sensors to achieve high sensitivity, low detection limit, and low power consumption. This study presents a highly sensitive acetone gas sensor with ultralow detection limit based on zinc oxide (ZnO)/laser-induced graphene (LIG) composite with heterostructures on interdigitated electrodes prepared by one-step laser direct writing and simple drop casting. The resulting ZnO/LIG-based acetone gas sensor exhibits a large response of −24 % to 1 ppm acetone, a fast response recovery time of 21/23 s, and an ultralow experimentally demonstrated (or theoretical) detection limit of 4 ppb (or 334 ppt). Further combined with a molecular sieve coating layer, the acetone gas sensor can accurately detect acetone in the highly humid environments such as the exhaled breath and differentiate diabetic patients from healthy individuals for early diagnostics and treatment evaluations.

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Crystal Phase engineering of Ultrathin Alloy Nanostructures for Highly Efficient Electroreduction of Nitrate to Ammonia

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Advanced Materials 2024年第14期36卷 e2313548页

作者： Wang, Yunhao Hao, Fengkun Sun, Mingzi Liu, Meng-Ting Zhou, Jingwen Xiong, Yuecheng Ye, Chenliang Wang, Xixi Liu, Fu Wang, Juan Lu, Pengyi Ma, Yangbo Yin, Jinwen Chen, Hsiao-Chien Zhang, Qinghua Gu, Lin Chen, Hao Ming Huang, Bolong Fan, Zhanxi Department of Chemistry City University of Hong Kong 999077 Hong Kong Department of Applied Biology and Chemical Technology The Hong Kong Polytechnic University Hung Hom Kowloon 999077 Hong Kong Department of Chemistry and Center for Emerging Materials and Advanced Devices National Taiwan University Taipei10617 Taiwan City University of Hong Kong 999077 Hong Kong Department of Power Engineering North China Electric Power University Hebei Baoding071003 China Center for Reliability Science and Technologies Chang Gung University Taoyuan33302 Taiwan Institute of Physics Beijing National Laboratory for Condensed Matter Physics Chinese Academy of Sciences Beijing100190 China Beijing National Center for Electron Microscopy and Laboratory of Advanced Materials Department of Materials Science and Engineering Tsinghua University Beijing100084 China Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan City University of Hong Kong Shenzhen Research Institute Shenzhen518057 China

Electrocatalytic nitrate reduction reaction (NO3RR) toward ammonia synthesis is recognized as a sustainable strategy to balance the global nitrogen cycle. However, it still remains a great challenge to achieve highly efficient ammonia production due to the complex proton-coupled electron transfer process in NO3RR. Here, the controlled synthesis of RuMo alloy nanoflowers (NFs) with unconventional face-centered cubic (fcc) phase and hexagonal close-packed/fcc heterophase for highly efficient NO3RR is reported. Significantly, fcc RuMo NFs demonstrate high Faradaic efficiency of 95.2% and a large yield rate of 32.7 mg h−1 mgcat−1 toward ammonia production at 0 and −0.1 V (vs reversible hydrogen electrode), respectively. In situ characterizations and theoretical calculations have unraveled that fcc RuMo NFs possess the highest d-band center with superior electroactivity, which originates from the strong Ru─Mo interactions and the high intrinsic activity of the unconventional fcc phase. The optimal electronic structures of fcc RuMo NFs supply strong adsorption of key intermediates with suppression of the competitive hydrogen evolution, which further determines the remarkable NO3RR performance. The successful demonstration of high-performance zinc-nitrate batteries with fcc RuMo NFs suggests their substantial application potential in electrochemical energy supply systems. © 2024 Wiley-VCH GmbH.

关键词： Electrocatalysis

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Enhanced CO 2 adsorption performance of amino-modified MIL-101(Cr-Al) materials: synthesis, characterization, and mechanistic insights

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Thermal science and engineering Progress 2025年

作者： Mengna Yuan Chang Ge Wei Yang Jin Wang Chungen Yin School of Materials Science and Engineering Hebei University of Technology Tianjin 300401 China Hebei Key Laboratory of New Functional Materials School of Material Science and Engineering Hebei University of Technology Tianjin 300401 China School of Energy and Environmental Engineering Hebei University of Technology Tianjin 300401 China Center for High Reliability Power Semiconductor Yangtze Delta Region Institute of Tsinghua University Jiaxing 314001 China AAU Energy Aalborg University DK-9220 Aalborg East Denmark

Four adsorbents—MIL-101(Cr), MIL-101(Cr-Al), NH 2 -MIL-101(Cr), and NH 2 -MIL-101(Cr-Al)—are synthesized via in-situ by a one-step hydrothermal method. XRD confirms high crystallinity and phase purity, while SEM/TEM reveals reduced particle sizes post-amination without compromising structural integrity. EDX/EDS analysis indicates that the amination process successfully introduces nitrogen, reduces oxygen content, and increases the weight ratio of Al/Cr from 3.5 % to 6.9 %. FTIR analysis shows new characteristic peaks in the low-wavenumber region of the modified adsorbents, corresponding to the bending and stretching vibrations of Cr-O bonds. After CO 2 adsorption, the IR spectra shift to lower wavenumbers, indicating a decrease in the vibration frequency of the chemical bonds. Nitrogen adsorption–desorption isotherm tests reveal that NH 2 -MIL-101(Cr-Al)’s superior capacity (900 cm 3 /g) is 31.8 % higher than NH 2 -MIL-101(Cr). The modified adsorbent exhibits a BET surface area of 1514.822 cm 2 /g, pore volume of 0.825 cm 3 /g, and average pore size of 3.727 nm, with all these properties significantly improved compared to the unmodified adsorbents. Under conditions of 273 K and 1 bar, NH 2 -MIL-101(Cr-Al) demonstrates the highest CO 2 adsorption capacity of 3.05 mmol/g, highlighting the significant enhancement of CO 2 adsorption performance due to the dual modification with amination and aluminum doping. However, capacity declined to 1.31 mmol/g at 298 K, indicating that the modified material is more sensitive to temperature changes. These findings provide important scientific insights for the development of more efficient CO 2 capture materials.

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Multilayer self-sensing hydrogel soft robot prepared via stereolithography for on-demand drug delivery

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Chemical engineering Journal 2025年 519卷

作者： Xuewei Shi Lidan Zhang Lijin Cheng Chenxing Xiang Alamusi Lee Huiming Ning Kaiyan Huang Haowen Liu Hansheng Liao Kexu An Bo Yang Jie Wen Bin Gu Weifeng Yuan Ning Hu Interdisciplinary Research Institute of Advanced Intelligent Equipment Xihua University Chengdu 610039 China College of Aerospace Engineering Chongqing University Chongqing 400044 China School of Basic Medicine Chongqing Medical University Chongqing 400042 China School of Mechanical Engineering Hebei University of Technology Tianjin 300401 China Key Laboratory of Testing Technology for Manufacturing Process Ministry of Education Southwest University of Science and Technology Mianyang 621010 China School of Computer Science and Engineering Chongqing University of Science and Technology Chongqing 401331 China State Key Laboratory of Reliability and Intelligence Electrical Equipment Hebei University of Technology Tianjin 300130 China Key Laboratory of Advanced Intelligent Protective Equipment Technology Ministry of Education Hebei University of Technology Tianjin 300401 China

Magnetic soft robots have garnered significant attention in biomedical applications due to remarkable shape adaptability and motion capabilities. In particular, multilayered magnetic soft robots demonstrate enhanced load-bearing capacity and functional complexity, making them ideal candidates for targeted drug delivery. However, the development of self-sensing, multilayer soft robots with specialized structure remains challenging due to limitations in substrate materials and advanced manufacturing techniques. Here, we present an innovative approach to fabricate a scorpion-inspired multilayer soft robot with integrated magnetic actuation, self-sensing, and drug delivery capabilities by developing a printable hydrogel ink compatible with stereolithography. The robot comprises multiple layers constructed from polyacrylamide/sodium alginate hydrogel, while the incorporation of various functional materials enables multifunctional properties. The sensing layer features a novel island-bridge structure inspired by the exoskeleton shape of a scorpion, designed to optimize strain redistribution during deformation and enhance sensing sensitivity. The drug delivery and actuation layers, which resemble a scorpion's tail and mobility, respectively, are engineered to facilitate drug loading and achieve controlled medication transport. Through crawling and rolling maneuvers, the soft robot successfully navigated a simulated human stomach model, demonstrating its potential for drug delivery. This multilayered, biomimetic structure advances the development of soft robots equipped with stimulus-sensing-actuation feedback loops, creating new opportunities for artificial intelligence applications.

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A reliability evaluation software for Flip Chip based on failure physics

A reliability evaluation software for Flip Chip based on fai...

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International Conference on (ICEPT) Electronic Packaging technology

作者： Si Chen Qiushi Wu Zhiwei Fu Yun Huang Bin Yao Bin Zhou Physics and Application of Electronic Component Laboratory Science and Technology on Reliability Guangzhou China School of Electronic and Information Engineering South China University of Technology Guangzhou China

ISBN: (数字)9781728168265

ISBN: (纸本)9781728168272

This paper introduces the flip chip reliability evaluation software developed based on failure physics. Firstly, the system framework of the software is introduced, and then the core algorithm of the software is described. Key parameters such as stress, strain, plastic strain energy density, displacement, acceleration can be extracted, and the service life of the selected structure is obtained through relevant failure physical models. The lifetime of each key structure is used to obtain the lifetime of the whole flip chip device through the competition algorithm of short board effect. An example of Flip chip device reliability evaluation under condition of standard GJB548B-2005 method 1010.1 C temperature cycling was given, it shows that the predicted device life is 207 cycles.

关键词： Load modeling Software Analytical models Software reliability Flip-chip devices Finite element analysis

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Black equation of the electromigration lifetime for ceramic package with lead bumps and plastic package with lead-free bump

Black equation of the electromigration lifetime for ceramic ...

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International Conference on (ICEPT) Electronic Packaging technology

ISBN: (数字)9781728168265

ISBN: (纸本)9781728168272

In this study, electromigration accelerated life tests of lead-containing copper pillar bumps in ceramic packages and lead-free copper pillar bumps in plastic packages were carried out at different current densities and ambient temperatures. The electromigration life prediction model based on Black equation was established for the two. The influence index n and activation energy Q of current density of interconnection bumps with two structures were determined through MTTF analysis of samples. Based on the life prediction model, the effects of substrate material, temperature and current density parameters on electromigration life were compared. Finally, considering the influence of Joule heating effect and current crowding effect, the electromigration life prediction models of the two bumps are modified.

关键词： Copper Electromigration Lead Resistance Ceramics Mathematical model Plastics

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Corrigendum to “Influence of Mg and Cu on precipitation behaviors and mechanical properties of Al-Si alloys” [Mater. Sci. Eng. A 908 (2024) 146775]

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Materials science and engineering: A 2024年 909卷

作者： Li-Wen Xue Hai-Long Jia Pin-kui Ma Jia-Wang Song Min Zha Hui-Yuan Wang Key Laboratory of Automobile Materials of Ministry of Education & School of Materials Science and Engineering Nanling Campus Jilin University No. 5988 Renmin Street Changchun 130025 PR China International Center of Future Science Jilin University Changchun 130012 PR China State Key Laboratory of Reliability and Intelligence of Electrical Equipment School of Material Science and Engineering Hebei University of Technology Tianjin 300130 PR China

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Remaining Useful Life Transfer Prediction and Cycle Life Test Optimization for Different Formula Li-ion Power Batteries Using a Robust Deep Learning Method ⁎

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IFAC-PapersOnLine 2020年第3期53卷 54-59页

作者： Jian Ma Pengchao Shang Xinyu Zou Ning Ma Yu Ding Yuzhuan Su Jin Chong Haizu Jin Yongshou Lin National Key Laboratory of Science and Technology on Reliability and Environmental Engineering China Aviation Maintenance NCO Academy Air Force Engineering University Xinyang China School of Aeronautic Science and Engineering Beihang University China Contemporary Amperex Technology Co. Limited Ningde Fujian Province 352100 China

Aiming at providing life information of different formula batteries for designers iteratively selecting an appropriate formula, cycle life tests are demanded to long-term perform until battery capacity reaching a pre-set failure threshold. However, the time-consuming test brings a high and unbearable cost to battery enterprise specifically focusing on cost and efficiency. For this practical problem, a prediction-based test optimization method is proposed to estimate the battery remaining useful life to replace its test life, and to shorten the test cycles for saving the test-cost. The prediction accuracy and robustness to the variation on battery formula and test temperature are guaranteed by an instance-based transfer learning method combined with a highly robust deep learning method named stacked denoising autoencoder. An average Euclidean distance-based transferability measurement method selects the most similar historical test data of batteries with other different formulas. It helps to compensate for the lost trend information of the predicted battery caused by cycles reduction and to augment the data for effectively training the prediction model. The actual test data from a battery company verify the accurate prediction and significant cost saving. Nearly more than 30% of the test cycles are optimized for different formula batteries on average.

关键词： Li-ion power battery Remaining useful life prediction Deep learning Transfer learning Cycle life test optimization

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A Cable-Driven Hyper-Redundant Robot with Angular Sensing

A Cable-Driven Hyper-Redundant Robot with Angular Sensing

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IEEE International Conference on Robotics and Biomimetics

作者： Yuxuan Mao Jiangbo Yu Long Wang Yun Zou Zecai Lin Weidong Chen Anzhu Gao School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China Science and Technology on Reliability and Environmental Engineering Laboratory Beijing Institute of Structure and Environment Engineering Beijing China Shanghai Jiao Tong University Shanghai P. R. China the Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781665405362

Hyper-redundant robots are usually used in confined space for the inspection and operations because of their dexterity and conformability. However, these robots usually use the kinematics to calculate their shape for control, and errors could be introduced inevitably due to the assembly, cable elongation, etc. This paper develops a cable-driven multi-section robot with angular sensing units for confined space. Kinematics based on D-H convention is built, and an optimization algorithm based on two-layer iteration is developed to achieve the follow-the-leader control. A feedback control using angular sensing is implemented to improve the overall accuracy. Also, force sensors are also employed to measure the tension on each actuation cable at the proximal end. Different target curves are generated for testing the feasibility, and motion simulations are conducted to successfully demonstrate the robot’s insertion. Finally, six experiments on a three-link robot prototype are carried out to validate the proposed kinematics and control algorithm. Results show that the average positioning error for the tip is 5.27 mm.

关键词： Force measurement Shape Prototypes Kinematics Aerospace electronics Inspection Robot sensing systems

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