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Journal of Thermal Science 2024年第1期33卷 348-367页

作者： LI Keying CHI Jinling WANG Bo zhang Shijie Key Lab of Advanced Energy and power Institute of Engineering ThermophysicsChinese Academy of SciencesBeijing 100190China University of chinese academy of sciences Beijing 100049China School of Mechanical Electronic&information Engineering China University of Mining&Technology-BeijingBeijing 100083China

Exhaust gas recirculation control(EGrC),an inlet air heating technology,can be utilized in combination with inlet/variable guide vane control(IGV/VGVC) and fuel flow control(FFC) to regulate the load,thereby effectively improving the part-load(i.e.,off-design) performance of the gas turbine combined cycle(GTCC).In this study,the E-,F-,and H-Class EGr-GTCC design and off-design system models were established and validated to perform a comparative analysis of the part-load performance under the EGr-IGV-FFC and conventional IGV-FFC strategies in the E/F/H-Class *** show that EGr-IGV-FFC has considerable potential for the part-load performance enhancement and can show a higher combined cycle efficiency than IGV-FFC in the E-,F-,and H-Class ***,the part-load performance improvement in the corresponding GTCC was weakened for the higher class of the gas turbine because of the narrower load range of EGr action and the deterioration of the gas turbine ***,EGr-IGV-FFC was inferior to IGV-FFC in improving the performance at loads below 50% for the H-Class *** results obtained in this paper could help guide the application of EGr-IGV-FFC to enhance the part-load performance of various classes of GTCC systems.

关键词： E/F/H-Class gas turbine combined cycle performance improvement part-load conditions exhaust gas recirculation inlet/variable guide vane

QoE oriented intelligent online learning evaluation technology in B5G scenario

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Digital Communications and Networks 2024年第1期10卷 7-15页

作者： Mingzi Chen Xin Wei peizhong Xie Zhe zhang School of Communications and information Engineering Nanjing University of Posts and TelecommunicationsNanjing210003China Key Lab of Broadband Wireless Communication and Sensor Network Technology(Nanjing University of posts and Telecommunications) Ministry of EducationNanjing210003China institute of Higher Education Nanjing University of Posts and TelecommunicationsNanjing210003China

Students'demand for online learning has exploded during the post-COvID-19 pandemic ***,due to their poor learning experience,students'dropout rate and learning performance of online learning are not always *** technical advantages of Beyond Fifth Generation(B5G)can guarantee a good multimedia Quality of Experience(QoE).As a special case of multimedia services,online learning takes into account both the usability of the service and the cognitive development of the *** that affect the Quality of Online Learning Experience(OL-QoE)become more *** get over this dilemma,we propose a systematic scheme by integrating big data,Machine Learning(ML)technologies,and educational psychology ***,we first formulate a general definition of OL-QoE by data analysis and experimental *** formula considers both the subjective and objective factors(i.e.,video watching ratio and test scores)that most affect ***,we induce an extended layer to the classic Broad Learning system(BLS)to construct an Extended Broad Learning system(EBLS)for the students'OL-QoE *** the extended layer can increase the width of the BLS model and reduce the redundant nodes of BLS,the proposed EBLS can achieve a trade-off between the prediction accuracy and computation ***,we provide a series of early intervention suggestions for different types of students according to their predicted OL-QoE *** timely interventions,their OL-QoE and learning performance can be *** results verify the effectiveness oftheproposed scheme.

关键词： B5G Online learning Quality of experience

3D coarse-grained DpM simulation of the MIp reaction-regeneration loop

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particuology 2024年第6期89卷 57-66页

作者： Yanhao Ye Shuai zhang Ji Xu Wei Ge State Key Laboratory of Mesoscience and Engineering(formerly State Key Laboratory of Multiphase Complex systems) Institute of Process EngineeringChinese Academy of SciencesBeijing100190China School of Chemical Engineering University of Chinese Academy of SciencesBeijing100049China

The reactor-regenerator loop is the core facility of the maximizing iso-paraffin(MIp)*** the discrete particle method(DpM)simulation can provide detailed information at the particle scale,it has been unable to simulate such a complex loop system due to limitations of coarse-grained(CG)models,computing software,and *** this study,a newly proposed soft-shell CG-DpM model with a CG ratio of up to 800 is used to simulate a 3.5 Mt/a industrial-scale MIp reactor-regenerator *** solid fraction distribution obtained is found to agree well with in-situ *** properties including the distribution of solid fraction,gas and solid velocity,standard derivation of solid fraction with time,temporal distribution of the flow field,and particle residence time distribution are measured in the simulation,which are meaningful to better design and operate such systems in the future.

关键词： Discrete particle method Coarse-grain Maximizing iso-paraffins Full-loop reaction-regeneration system

recursive projected Filter Algorithm with Binary-Valued Observations

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Journal of systems Science & Complexity 2024年第5期37卷 1832-1860页

作者： zhang Xiaoyan WANG Ying XUE Wenchao ZHAO Yanlong Key Laboratory of systems and Control Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematical sciences University of Chinese Academy of SciencesBeijing 100049China

This paper focuses on the state estimate for a class of systems with both process noise and measurement noise under binary-valued observations,in which the Gaussian assumption on the predicted density of the state is not required.A recursive projected filter algorithm with time-varying thresholds is constructed to estimate the state under binary-valued *** time-varying thresholds are designed as the prediction value of the measurement,which can provide more information about the system *** convergence property is established with some suitable stability,boundedness and observability *** particular,the estimation error between state and estimate is proved to be asymptotically bounded in the mean-square sense,whose upper bound is related to the variance of process ***,the theoretical results are demonstrated via numerical examples of first-order and high-order systems.

关键词： Binary-valued observations convergence recursive filter time-varying thresholds

A multi-feature-based intelligent redundancy elimination scheme for cloud-assisted health systems

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CAAI Transactions on Intelligence Technology 2024年第2期9卷 491-510页

作者： Ling Xiao Beiji Zou Xiaoyan Kui Chengzhang Zhu Wensheng zhang Xuebing Yang Bob zhang School of Computer Science and Engineering Central South UniversityChangshaChina Hunan Engineering research center of Machine Vision and Intelligent Medicine Central South UniversityChangshaChina The College of Literature and Journalism Central South UniversityChangshaChina institute of automation Chinese Academy of SciencesBeijingChina Department of Computer and information Science University of MacaoMacaoChina

redundancy elimination techniques are extensively investigated to reduce storage overheads for cloud-assisted health *** eliminates the redundancy of duplicate blocks by storing one physical instance referenced by multiple *** compression is usually regarded as a complementary technique to deduplication to further remove the redundancy of similar blocks,but our observations indicate that this is disobedient when data have sparse duplicate *** addition,there are many overlapped deltas in the resemblance detection process of post-deduplication delta compression,which hinders the efficiency of delta compression and the index phase of resemblance detection inquires abundant non-similar blocks,resulting in inefficient system ***,a multi-feature-based redundancy elimination scheme,called MFrE,is proposed to solve these *** similarity feature and temporal locality feature are excavated to assist redundancy elimination where the similarity feature well expresses the duplicate ***,similarity-based dynamic post-deduplication delta compression and temporal locality-based dynamic delta compression discover more similar base blocks to minimise overlapped deltas and improve compression ***,the clustering method based on block-relationship and the feature index strategy based on bloom filters reduce IO overheads and improve system *** demonstrate that the proposed method,compared to the state-of-the-art method,improves the compression ratio and system throughput by 9.68%and 50%,respectively.

关键词： big data cloud computing compression data compression medical applications performance evaluation

Combining permissioned blockchain and Bayesian best-worst method for transparent supplier selection in supply chain management

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Science china(Technological sciences) 2024年第8期67卷 2579-2593页

作者： LIU JiaJun zhang Jie LENG JieWu Shanghai Engineering research center of Industrial Big Data and Intelligent {2. Institute of Artificial IntelligenceDonghua UniversityShanghai 201620China State Key Laboratory of precision Electronic Manufacturing Technology and Equipment Guangdong University of TechnologyGuangzhou 510006China

Supplier selection is an important business activity in order to realize the purchasing function in supply chain *** supplier selection process includes four stages,i.e.,bidding inviting,bidding,group decision-making,and results disclosure,involving the participation of manufacturing service demanders(MSDs),manufacturing service suppliers(MSSs),and ***,all the participants have raised concerns about the increased transparency in supplier ***,this study proposes a transparent supplier selection method by considering the engagement of *** this method,the Bayesian best-worst method(Bayesian BWM)is used to aggregate decision-makers'preferences into the overall optimal weights of the alternative MSSs,and the MSS with the largest weight is considered the suitable MSS for ***,blockchain is introduced to record the decision-making process information about supplier selection through a customized smart contract,where MSSs act as supervisors to supervise the decision-making process through the distributed consensus mechanism rather than directly participate in the decision-making ***,a case study of supplier selection in purchasing vibration acceleration sensors is *** result shows that the proposed method can support MSDs in selecting suitable MSS from alternative MSSs by aggregating decision-makers'preferences,and blockchain can provide credible information about the supplier selection process for MSSs,MSDs,and *** this way,the transparency of supplier selection is enhanced.

关键词： blockchain supplier selection supply chain transparency Bayesian BWM group decision-making

Silicon dioxide-protection boosting the peroxidase-like activity of Fe single-atom catalyst for combining chemo-photothermal therapy

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Nano research 2024年第6期17卷 4924-4933页

作者： Yu Fan Yu Yi Hongpan rong Jiatao zhang Beijing Key Laboratory of Construction-Tailorable Advanced Functional Materials and Green Applications School of Materials Science&EngineeringBeijing Institute of TechnologyBeijing 100081China CAS center for Excellence in Nanoscience CAS KeyLaboratory for Biomedical Effects of Nanomaterials and NanosafetyNational Center for Nanoscience and Technology(NCNST)Beijing 100190China Key Laboratory of Medical Molecule Science and pharmaceutics Engineering Ministry of Industry and Information TechnologySchool of Chemistry&Chemical EngineeringBeijing Key Laboratory of Construction-Tailorable Advanced Functional Materials and Green ApplicationsSchool of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China

Carbon-based single-atom catalysts(SACs)have been widely studied in the field of biomedicine due to their excellent catalytic ***,carbon-based SACs usually aggregate during pyrolysis,which leads to the reduction of catalytic ***,we describe a method to improve the monodispersion of SACs using silicon dioxide as a protective *** decoration of silicon dioxide serves as a buffer layer for individual nanoparticles,which is not destroyed during the pyrolysis process,ensuring the single-particle dispersion of the nanoparticles after *** approach increased the hydroxyl groups on the surface of Fe-SAC(Fe-SAC-SE)and improved its water solubility,resulting in a four times enhancement of the peroxidase(pOD)-like activity of Fe-SAC-SE(58.4 U/mg)than that of non-protected SACs(13.9 U/mg).The SiO_(2.-protection approach could also improve the catalytic activities of SACs with other metals such as Mn,Co,Ni,and Cu,indicating its generality for SACs *** advantage of the high pOD-like activity,photothermal properties,and large specific surface area of Fe-SAC-SE,we constructed a synergistic therapeutic system(Fe-SAC-SE@DOX@pEG)for combining the photothermal therapy,catalytic therapy,and *** was verified that the photothermal properties of Fe-SAC-SE@DOX@pEG could effectively improve its pOD-like activity,exhibiting excellent tumor-killing performance at the cellular *** work may provide a general approach to improve the performances of SACs for disease therapy and diagnosis.

关键词： single-atom catalysts peroxidase-like activity SiO2.protection photothermal therapy catalytic therapy chemotherapy

面向车载时间敏感网络的流量调度策略及改进算法研究

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汽车工程 2024年第1期46卷 75-83页

作者：张旭东温雅邹渊孙文景张兆龙唐风敏刘卫国北京理工大学机械与车辆学院北京100081 北京理工大学电动车辆国家工程研究中心北京100081 北京新能源汽车股份有限公司北京100176 国汽(北京)智能网联汽车研究院有限公司北京100176 浙江大学杭州310058

本文面向汽车电子电气架构中的时间敏感网络(TSN)流量调度问题开展研究。针对实际应用需求,提出一种车载TSN网络拓扑建立方法。针对网络中多类型信息流调度问题,提出一种基于时间感知整形器(TAS)机制的流量调度策略并建立相应的数学模型... 详细信息

本文面向汽车电子电气架构中的时间敏感网络(TSN)流量调度问题开展研究。针对实际应用需求,提出一种车载TSN网络拓扑建立方法。针对网络中多类型信息流调度问题,提出一种基于时间感知整形器(TAS)机制的流量调度策略并建立相应的数学模型,在降低网络总延时的同时,兼顾高优先级信息流的时间敏感性和低优先级信息流的数据完整性。为解决模型中信息流转发过程复杂导致求解效率不稳定和流量调度方案众多导致寻优困难的问题,提出一种改进的遗传算法(IGA),从设置自适应交叉概率公式、引入禁忌搜索变异、多种群联合3个方面进行了优化。实验结果表明,本文所提出的算法在端到端延时优化方面提升了43.47%,在生成方案稳定性方面提升了76.96%,该算法可得到低延时、高可靠的车载TSN流量调度方案。本文的研究成果为智能网联汽车领域的研究和车载网络通信算法的优化提供了思路。

关键词：时间敏感网络流量调度遗传算法禁忌搜索

Bioactive compounds in Hericium erinaceus and their biological properties:a review

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Food Science and Human Wellness 2024年第4期13卷 1825-1844页

作者： Yue Qiu Genglan Lin Weiming Liu Fuming zhang robert J.Linhardt Xingli Wang Anqiang zhang College of Food Science and Engineering Zhejiang University of TechnologyHangzhou 310014China Zhejiang Biosan Biotech Co. Ltd.Hangzhou 310052China Department of Chemical and Biological Engineering Center for Biotechnology and Interdisciplinary StudiesRensselaer Polytechnic InstituteTroyNY 12180USA Departments of Chemistry and Chemical Biology and Biomedical Engineering Biological ScienceCenter for Biotechnology and Interdisciplinary StudiesRensselaer Polytechnic InstituteTroyNY 12180USA

Hericium erinaceus is a nutritious edible and medicinal fungi,rich in a variety of functional active ingredients,with various physiological functions such as antioxidation,anticancer,and enhancing *** is also effective in protecting the digestive system and preventing neurodegenerative *** this review paper,we summarize the sources,structures and efficacies of the main active components in *** fruiting body,mycelium,and culture media,and update the latest research progress on their biological activities and the related molecular *** on this {2.,we provide detailed challenges in current research,industrialization and {2. on the active ingredients of *** for future studies and new applications of *** are proposed.

关键词： Hericium erinaceus Bioactive compounds Biological activities Antioxidation Neuroprotection Immunoregulation