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IoV environment exploring coordination:A federated learning approach

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Digital Communications and Networks 2024年第1期10卷 135-141页

作者： tong ding Lei Liu Yi Zhu Lizhen Cui Zhongmin Yan School of Software Shandong UniversityJinan250101China

Exploring open fields with coordinated unmanned vehicles is popular in academia and *** of the most impressive applicable approaches is the Internet of Vehicles(lov).The IoV connects vehicles,road infrastructures and communication facilities to provide solutions for exploration ***,the coordination of acquiring information from multi-vehicles may risk data *** this end,sharing high-quality experiences instead of raw data has become an urgent *** paper employs a Deep Reinforcement Learning(DRL)method to enable IoVs to generate training data with prioritized experience and states,which can support the IoV to explore the environment more ***,a Federated Learning(FL)experience sharing model is established to guarantee the vehicles'*** numerical results show that the proposed method presents a better successful sharing rate and a more stable convergence within the comparison of fundamental *** experiments also suggest that the proposed method could support agents without full information to achieve the tasks.

关键词： Internet of vehicle Deep reinforcement learning Federated learning Data privacy

Interlayer-confined two-dimensional manganese oxide-carbon nanotube catalytic ozonation membrane for efficient water purification

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Frontiers of Chemical Science and Engineering 2022年第5期16卷 731-744页

作者： Dean Xu tong ding Yuqing Sun Shilong Li Wenheng Jing State Key Laboratory of Materials-Oriented Chemical Engineering Nanjing Tech UniversityNanjing 210009China

Catalytic ozonation technology has attracted copious attention in water purification owing to its favorable oxidative degradation of pollutants and mitigation of membrane fouling ***,its extensive industrial application has been restricted by the low ozone utilization and limited mass transfer of the short-lived radical *** space-confined catalysis has been theoretically proven to be a viable strategy for achieving high catalytic ***,a two-dimensional MnO_(2)-incorporated ceramic membrane with tunable interspacing,which was obtained via the intercalation of a carbon nanotube,was designed as a catalytic ozonation membrane reactor for degrading methylene *** from the abundant catalytic active sites on the surface of two-dimensional MnO_(2) as well as the ultralow mass transfer resistance of fluids due to the nanolayer confinement,an excellent mineralization effect,i.e.,1.2 mg O_(3)(aq)mg^(-1) TOC removal(a total organic carbon removal rate of 71.5%),was achieved within a hydraulic retention time of 0.045 s of pollutant ***,the effects of hydraulic retention time and interlayer spacing on methylene blue removal were ***,the mechanism of the catalytic ozonation employing catalytic ozonation membrane was proposed based on the contribution of the Mn(III/IV)redox pair to electron transfer to generate the reactive oxygen *** innovative twodimensional confinement catalytic ozonation membrane could act as a nanoreactor and separator to efficiently oxidize organic pollutants and enhance the control of membrane fouling during water purification.

关键词： catalytic membrane reactor catalytic ozonation nanoconfinement two-dimensional manganese oxide

The Non-inclusion Diagnosability of Hypercubes Under the PMC Model

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Journal of the Operations Research Society of China 2024年第2期12卷 478-484页

作者： Mei-Jie Ma Min Xu tong-tong ding Xiang-Jun Li Qiang Zhu School of Mathematics and Statistics Qilu University of Technology(Shandong Academy of Sciences)Jinan 250353ShandongChina School of Mathematical Sciences Beijing Normal UniversityLaboratory of Mathematics and Complex SystemsMinistry of EducationBeijing 100875China School of Information and Mathematics Yangtze UniversityJingzhou 434023HubeiChina School of Mathematics and Statistics XiDian UniversityXi'an 710071ShaanXiChina

Diagnosability of a multiprocessor system is an important measure of the reliability of interconnection ***-level diagnosis is a primary strategy to identify the faulty processors in a multiprocessor *** on a sound assumption proposed by Zhu et ***,we proposed a new diagnosability named non-inclusion diagnosability and showed that the non-inclusion diagnosability t_(N)(Q_(n))of the hypercube under the PMC model is *** is,assume that if two vertex sets F_(1) and F_(2) are both consistent with a syndrome and F_(1)C F_(2),then F_(2) is not the faulty set which we are looking for;the faulty set F is 1-step diagnosable if|F|≤2n-2 in Q_(n) under the PMC model.

关键词： Interconnection network Diagnosability Hypercube PMC model

Plasmid DNA induces dodecyl triethyl ammonium bromide to aggregate into vesicle

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Chinese Chemical Letters 2012年第12期23卷 1396-1398页

作者： Xiang Mei Ran Xia Guo Jia tong ding School of Chemistry and Chemical Engineering Yangzhou University College of Animal Science and Technology Yangzhou University

Single-chained cationic surfactant dodecyl triethyl ammonium bromide and plasmid DNA together can form vesicles once the concentration of plasmid DNA reaches a critical value （Cove）. Bigger the size of plasmid DNA, ... 详细信息

关键词： Surfactant Plasmid DNA Vesicle

Investigation on Inlet Recirculation Characteristics of Double Suction Centrifugal Compressor with Unsymmetrical Inlet

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Journal of Thermal Science 2016年第4期25卷 312-324页

作者： YANG Ce WANG Yingjun LAO Dazhong tong ding WEI Longyu LIU Yixiong School of Mechanical Engineering Beijing Institute of Technology Beijing 100081 China School of Aerospace Engineering Beijing Institute of Technology Beijing 100081 China China North Engine Research Institute Tianjin 300405 China

The inlet recirculation characteristics of double suction centrifugal compressor with unsymmetrical inlet structures were studied in numerical method,mainly focused on three issues including the amounts and differences of the inlet recirculation in different working conditions,the circumferential non-uniform distributions of the inlet recirculation,the recirculation velocity distributions of the upstream slot of the rear *** results show that there are some differences between the recirculation of the front impeller and that of the rear impeller in whole working conditions..In design speed,the recirculation flow rate of the rear impeller is larger than that of the front impeller in the large flow range,but in the small flow range,the recirculation flow rate of the rear impeller is smaller than that of the front *** different working conditions,the recirculation velocity distributions of the front and rear impeller are non-uniform along the circumferential direction and their non-uniform extents are quite *** circumferential non-uniform extent of the recirculation velocity varies with the working conditions *** circumferential non-uniform extent of the recirculation velocity of front impeller and its distribution are determined by the static pressure distribution of the front impeller,but that of the rear impeller is decided by the coupling effects of the inlet flow distortion of the rear impeller,the circumferential unsymmetrical distribution of the upstream slot and the asymmetric structure of the *** the design flow and small flow conditions,the recirculation velocities at different circumferential positions of the mean line of the upstream slot cross-section of the rear impeller are quite different,and the recirculation velocities distribution forms at both sides of the mean line are *** recirculation velocity distributions in the cross-section of the upstream slot depend on the static pressure distributions in th

关键词： asymmetric intake double suction centrifugal compressor inlet recirculation recirculation flow circumferential distribution

Enhancing the Robustness of Rib-Groove Filling and Strain Homogeneity in the Isothermal Forging of Titanium Alloy Multi-Rib Components

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CHINESE JOURNAL OF MECHANICAL ENGINEERING 2024年第1期37卷 1-28页

作者： ding, tong Wei, Ke Hou, Yong Dong, Xianjuan Huang, Long Lee, Myoung-Gyu Nanchang Hangkong Univ Sch Aeronaut Mfg Engn Nanchang 330063 Peoples R China Seoul Natl Univ Dept Mat Sci & Engn Seoul 08826 South Korea Seoul Natl Univ RIAM Seoul 08826 South Korea

Isothermal forging stands as an effective technology for the production of large-scale titanium alloy multi-rib components. However, challenges have persisted, including die underfilling and strain concentration due to the complex material flow and heterogeneous deformation within the forging die cavity. While approaches centered on optimized billet designs have mitigated these challenges, uncertainties in process parameters continue to introduce unacceptable variations in forming accuracy and stability. To tackle this issue, this study introduced a multi-objective robust optimization approach for billet design, accounting for the multi-rib eigenstructure and potential uncertainties. The approach includes finite element (FE) modeling for analyzing the die-filling and strain inhomogeneity within the multi-rib eigenstructure. Furthermore, it integrated image acquisition perception and feed back technologies (IAPF) for real-time monitoring of material flow and filling sequences within die rib-grooves, validating the accuracy of the FE modeling. By incorporating dimensional parameters of the billet and uncertainty factors, including friction, draft angle, forming temperature, speed, and deviations in billet and die, quantitative analyses on the rib-groove filling and strain inhomogeneity with fluctuation were conducted. Subsequently, a dual-response surface model was developed for statistical analysis of the cavity filling and strain homogeneity. Finally, the robust optimization was processed using a non-dominated sorting genetic algorithm II (NSGA-II) and validated using the IAPF technologies. The proposed approach enables robust design enhancements for rib-groove filling and strain homogeneity in titanium alloy multi-rib components.

关键词： Titanium alloy multi-rib components Die rib-groove filling Strain homogeneity Multi-objective robust optimization Real-time monitoring

Overview of the main biological mechanisms linked to changes in periodontal ligament stem cells and the inflammatory microenvironment

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2023年第5期24卷 373-386页

作者： Xuetao ZHAO Hongbing LIN tong ding Yawei WANG Na LIU Yuqin SHEN Department of Periodontics Jilin Provincial Key Laboratory of Tooth Development and Bone RemodelingHospital of StomatologyJilin UniversityChangchun 130021China Department of Periodontics Affiliated Stomatology Hospital of Guangzhou Medical UniversityGuangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative MedicineGuangzhou 510182China

Periodontitis is a complex chronic inflammatory *** invasion of pathogens induces the inflammatory microenvironment in *** behavior changes in response to changes in the microenvironment,which in turn alters the local inflammatory microenvironment of the periodontium through factors secreted by *** has been confirmed that periodontal ligament stem cells(PDLSCs)are vital in the development of periodontal ***,PDLSCs are the most effective cell type to be used for periodontium *** review focuses on changes in PDLSCs,their basic biological behavior,osteogenic differentiation,and drug effects caused by the inflammatory microenvironment,to provide a better understanding of the influence of these factors on periodontal tissue *** addition,we discuss the underlying mechanism in detail behind the reciprocal responses of PDLSCs that affect the microenvironment.

关键词： Inflammatory microenvironment Inflammatory regulation Osteogenic differentiation Periodontal ligament stem cells Periodontitis

Enhanced carbon dioxide adsorption performance and kinetic study of K and Al co-doped Li4SiO4

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Chinese Chemical Letters 2018年第3期29卷 482-484页

作者： Nuonuo Gao Kui Ma tong ding Jinmeng Cai Ye Tian Xingang Li Collaborative Innovation Center for Chemical Sdence & Engineering (Tianjin) Tianjin Key laboratory of Applied Catalysis Science & Engineering School of Chemical Engineering & Technology Tianjin University Tianjin 30072 China

Herein, we report the effects of doped K and Al on the carbon dioxide （CO2） adsorption performance of the Li4SiO4-based adsorbents. The CO2 adsorption capacity of 0.8 wt% K and 1.5 wt% AI doped Li4SiO4 is ～2.2 times and ～1.3 times higher than that of the pristine Li4SiO4 at 500 and 600℃, respectively. The kinetic study further indicated that the reaction rates of the lithium diffusion process is greatly improved by K and AI doping, and the lithium diffusion rate of 0.8 wt% K and 1.5 wt% AI doped Li4SiO4 is ～2 times higher than that of the pristine Li4SiO4 at 575-650 ℃. K and AI doping increases the adsorption capacity of Li4SiO4-based adsorbents, and widens its effective adsorption temperature range

关键词： Li4SiO K and AI doping CO2 adsorption Kinetic study Adsorption stability

Alteration of functional connectivity in patients with Alzheimer’s disease revealed by resting-state functional magnetic resonance imaging

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Neural Regeneration Research 2020年第2期15卷 285-292页

作者： Jie Zhao Yu-Hang Du Xue-tong ding Xue-Hu Wang Guo-Zun Men School of Electronic and Information Engineering Hebei UniversityBaodingHebei ProvinceChina Research Center of Machine Vision Engineering & Technology of Hebei Province BaodingHebei ProvinceChina Key Laboratory of Digital Medical Engineering of Hebei Province BaodingHebei ProvinceChina School of Economics Hebei UniversityBaodingHebei ProvinceChina

The main symptom of patients with Alzheimer’s disease is cognitive dysfunction. Alzheimer’s disease is mainly diagnosed based on changes in brain structure. Functional connectivity reflects the synchrony of functional activities between non-adjacent brain regions, and changes in functional connectivity appear earlier than those in brain structure. In this study, we detected resting-state functional connectivity changes in patients with Alzheimer’s disease to provide reference evidence for disease prediction. Functional magnetic resonance imaging data from patients with Alzheimer’s disease were used to show whether particular white and gray matter areas had certain functional connectivity patterns and if these patterns changed with disease severity. In nine white and corresponding gray matter regions, correlations of normal cognition, early mild cognitive impairment, and late mild cognitive impairment with blood oxygen level-dependent signal time series were detected. Average correlation coefficient analysis indicated functional connectivity patterns between white and gray matter in the resting state of patients with Alzheimer’s disease. Functional connectivity pattern variation correlated with disease severity, with some regions having relatively strong or weak correlations. We found that the correlation coefficients of five regions were 0.3–0.5 in patients with normal cognition and 0–0.2 in those developing Alzheimer’s disease. Moreover, in the other four regions, the range increased to 0.45–0.7 with increasing cognitive impairment. In some white and gray matter areas, there were specific connectivity patterns. Changes in regional white and gray matter connectivity patterns may be used to predict Alzheimer’s disease;however, detailed information on specific connectivity patterns is needed. All study data were obtained from the Alzheimer’s Disease Neuroimaging Initiative Library of the Image and Data Archive Database.

关键词： Alzheimer's disease blood oxygen level-dependent signal correlation coefficient functional connectivity pattern functional magnetic resonance imaging gray matter resting state white matter