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Closed-loop scheduling optimization strategy based on particle swarm optimization with niche technology and soft sensor method of attributes-applied to gasoline blending process

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Chinese Journal of Chemical Engineering 2023年第9期61卷 43-57页

作者： Jian Long kai Deng Renchu he Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghaiChina Engineering Research Center of Process System Engineering Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

Gasoline blending scheduling optimization can bring significant economic and efficient benefits to ***,the optimization model is complex and difficult to build,which is a typical mixed integer nonlinear programming(MINLP)*** the large scale of the MINLP model,in order to improve the efficiency of the solution,the mixed integer linear programming-nonlinear programming(MILP-NLP)strategy is used to solve the *** paper uses the linear blending rules plus the blending effect correction to build the gasoline blending model,and a relaxed MILP model is constructed on this *** particle swarm optimization algorithm with niche technology(NPSO)is proposed to optimize the solution,and the high-precision soft-sensor method is used to calculate the deviation of gasoline attributes,the blending effect is dynamically corrected to ensure the accuracy of the blending effect and optimization results,thus forming a prediction-verification-reprediction closed-loop scheduling optimization strategy suitable for engineering *** optimization result of the MILP model provides a good initial *** fixing the integer variables to the MILPoptimal value,the approximate MINLP optimal solution can be obtained through a NLP *** above solution strategy has been successfully applied to the actual gasoline production case of a refinery(3.5 million tons per year),and the results show that the strategy is effective and *** optimization results based on the closed-loop scheduling optimization strategy have higher *** with the standard particle swarm optimization algorithm,NPSO algorithm improves the optimization ability and efficiency to a certain extent,effectively reduces the blending cost while ensuring the convergence speed.

关键词： Blend Optimization algorithm Neural networks Particle swarm optimization Mixed integer programming

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Development of target fabrication for laser-driveninertial confinement fusion at research center oflaser fusion

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High Power Laser Science and Engineering 2017年第1期5卷 25-33页

作者： Tao Wang kai Du Zhibing he Xiaoshan he Research Center of Laser Fusion China Academy of Engineering PhysicsMianyang 621900China

As the basic conditions for laser inertial confinement fusion(ICF) research, the targets are required to be well specified and elaborately fabricated. Because of the characteristics of the targets, the research and fabrication process is a systematically tough task, which needs fundamental and deep insights into film deposition, mechanical machining,precise measurement and assembly, etc. As a result, knowledge of material science, physics, mechanical as well as electronics is a necessity for target researchers. In this paper, we give introductions to the state of art on target fabrication for ICF research at Research Center of Laser Fusion(RCLF) in China.

关键词： development ICF target fabrication

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In situ transmission electron microscopy and artificial intelligence enabled data analytics for energy materials

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Journal of Energy Chemistry 2022年第5期31卷 454-493页

作者： Hongkui Zheng Xiner Lu kai he Department of Materials Science and Engineering Clemson UniversityClemson 29634USA

Energy materials are vital to energy conversion and storage devices that make renewable resources viable for electrification technologies. In situ transmission electron microscopy(TEM) is a powerful approach to characterize the dynamic evolution of material structure, morphology, and chemistry at the atomic scale in real time and in operando. In this review, recent advancements of in situ TEM techniques for studying energy materials, including catalysts, batteries, photovoltaics, and thermoelectrics, are systematically discussed and summarized. The topics include a broad range of material transformations that are in situ stimulated by heating, biasing, lighting, electron-beam illuminating, and cryocooling under vacuum, liquid, or gas environments within TEM, as well as the mechanistic understanding of the associated solid-solid, solid-liquid, and solid-gas reactions elucidated by in situ TEM examination and operando measurements. Special focus is also put on the emerging progress of artificial intelligence enabled microscopy data analytics, including machine learning enhanced tools for retrieving useful information from massive TEM imaging, diffraction, and spectroscopy datasets, highlighting its merits and potential for automated in situ TEM experimentation and analysis. Finally, the pressing challenges and future perspectives on in situ TEM study for energy-related materials are discussed.

关键词： In situ TEM Cryo-TEM Energy materials Batteries Catalysts Photovoltaic Thermoelectric Artificial intelligence Machine learning

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Time-Averaged Behaviour at the Critical Parameter Point of Transition to Spatiotemporal Chaos

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Chinese Physics Letters 2001年第9期18卷 1176-1178页

作者： he kai-Fen The Key Laboratory of Beam Technology and Material Modification of Ministry of Education and Institute of Low Energy Nuclear PhysicsBeijing Normal UniversityBeijing 100875 Beijing Radiation Center Beijing 100875

A time-averaged behaviour is found to be important for investigating the critical behaviour in parameter space for the transition from temporal chaos to spatiotemporal chaos by using an energy representation. Considering any wave solution as a superposition of the steady wave with its perturbation wave, we find that when approaching the critical parameter point the averaged positive interaction energy for the k = 1 mode becomes competitive with the negative one, with the summation displaying a scaling behaviour of power law.

关键词： behaviour chaos averaged

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Systematic error real-time registration based onmodified input estimation

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Journal of Systems Engineering and Electronics 2016年第5期27卷 986-992页

作者： jianjuan xiu kai dong you he Research Institute of Information Fusion Naval Aeronautical and Astronautical University Yantai 264001 China

In order to estimate the systematic error in the processof maneuvering target adaptive tracking, a new method is *** proposed method is a linear tracking scheme basedon a modified input estimation approach. A special augmentationin the state space model is considered, in which both the systematicerror and the unknown input vector are attached to thestate vector. Then, an augmented state model and a measurementmodel are established in the case of systematic error, andthe corresponding filter formulas are also given. In the proposedscheme, the original state, the acceleration and the systematicerror vector can be estimated simultaneously. This method can notonly solve the maneuvering target adaptive tracking problem in thecase of systematic error, but also give the system error value inreal time. Simulation results show that the proposed tracking algorithmoperates in both the non-maneuvering and the maneuveringmodes, and the original state, the acceleration and the systematicerror vector can be estimated simultaneously.

关键词： systematic error estimation maneuvering target,adaptive tracking augmented system model modified input estimationapproach.

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Boron isotope geochemistry of Bangor Co Salt Lake(central Tibet):implications for boron origin and uneven mixing of lake water

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Acta Geochimica 2022年第5期41卷 731-740页

作者： Bin-kai Li Mao-yong he Hai-Zhou Ma Huai-De Cheng Lian-Min Ji Qinghai Provincial Key Laboratory of Geology and Environment of Salt Lakes Qinghai Institute of Salt LakesChinese Academy of Sciences810008 XiningQinghaiChina State Key Laboratory of Loess and Quaternary Geology Institute of Earth EnvironmentChinese Academy of Sciences710061 Xi’anChina University of the Chinese Academy of Sciences 100049 BeijingChina

Boron is an essential,widely used,micronutrient element and is abundant in salt lakes on the Qinghai-Tibet *** origin and distribution of boron brine deposits on the Qinghai-Tibet Plateau is an important foundation for B resource formation,evolution,and enrichment,which have long been the subject of *** boron isotope system is a sensitive geochemical tracer,making it useful for eff ectively and precisely tracking a wide range of geological processes and *** study investigates the major cations,[B],andδB values of samples(lake brine,river waters,and cold spring water)from the Bangor Co Lake which is a typical salt lake rich in boron in Tibet,*** are magnitude-scale diff erences in[B]among diff erent sample types:river samplesheδB values of the samples exhibit magnitude-scale variations as[B],ranging from-7.35‰to+7.66‰.There are also magnitude-scale diff erences inδB among diff erent sample ***δB values of cold spring water are relatively low,and the values range from-1.26‰to-7.75‰.However,the river water samples and saline lakes have higher values,from 0.38‰to 4.62‰,and theδB values of river water samples are basically in the distribution range of those of Bangor Co *** indicates that the sources of boron in Bangor Co Lake are mainly the recharge water with higherδB values and spring water with lowerδB values,and the boron sources and the uneven mixing of lake water are two reasons that account for the large change in theδB value of Bangor Co Lake.

关键词： Tibet Bangor Co salt lake Boron isotope Origin Fractionation processes

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The source of lithium in Lakkor Co Salt Lake on Qinghai-Tibet Plateau,China:evidence from hydrochemical characteristics and boron isotope

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Acta Geochimica 2024年第5期43卷 933-946页

作者： Zheng Yan Li Bin kai Li Mao-yong he Xue Qin Wen Jiang Di Zhou Department of Geoscience and Technology Taiyuan University of TechnologyYingzexi StreetTaiyuan 030024Shanxi ProvinceChina State Key Laboratory of Loess and Quaternary Geology Institute of Earth EnvironmentChinese Academy of SciencesXi’an 710061China Qinghai Provincial Key Laboratory of Geology and Environment of Salt Lakes Qinghai Institute of Salt LakesChinese Academy of SciencesXining 810008QinghaiChina School of Earth Science and Resources Chang’an UniversityXi’an 710000ShaanxiChina Qinghai Normal University Academy of Plateau Science and SustainabilityXining 810016China

The availability of lithium resources is of great significance for the development of modern technologies,as well as for civil and military *** Qinghai-Tibet Plateau is a region known for its abundance of lithium-rich salt ***,the specific origin of lithium in these lakes is still unknown,which hinders the advancement of the lithium resource business in this *** research this issue,this study involved the collection of 20 samples from Lakkor Co Salt Lake on Qinghai-Tibet Plateau,encompassing samples of surface brine,cold springs,fresh lakes,and recharge *** composition of anions and cations in these samples was ***,the analysis extensivelyutilizedthePiperthree-linediagram,Gibbs model,and ion proportion *** findings of this study indicate that as the moves from the recharge water system to salt lake,there is a transition in water type from strong carbonate to moderate carbonate and weak carbonate,as well as Na *** research based on a similar source of both lithium and boron,utilized ion correlation analysis and boron isotope study in the Lakkor Co area,and analyzed the source and transporting process of *** main origin of lithium in Lakkor Co is the dissolution of lithiumrich rocks,recharge water systems,and deep hydrothermal *** findings are highly significant in enhancing the foundational data of lithium-rich brine resources in the Qinghai-Tibet Plateau and are beneficial for assessing the future development of such deposits.

关键词： Lithium Hydrochemical Li-rich Salt lake Boron isotope

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Semi-Online Scheduling with Machine Cost

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Journal of Computer Science & Technology 2002年第6期17卷 781-787页

作者： he yong CAI Shengyi Department of Mathematics Zhejiang University Hangzhou P.R. China Department of Mathematics Wenzhou Teachers’ College Wenzhou P.R. China

For most scheduling problems the set of machines is fixed initially and remainsunchanged for the duration of the problem. Recently Imreh and Nogaproposed to add theconcept of machine cost to scheduling problems and considered the so-called List Model *** online algorithm with a competitive ratio 1.618 was given while the lower bound is 4/3. Inthis paper, two different semi-online versions of this problem are studied. In the first case, it isassumed that the processing time of the largest job is known a priori. A semi-online algorithmis presented with the competitive ratio at most 1.5309 while the lower bound is 4/3. In thesecond case, it is assumed that the total processing time of all jobs is known in advance. Asemi-online algorithm is presented with the competitive ratio at most 1.414 while the lowerbound is 1.161. It is shown that the additional partial available information about the jobsleads to the possibility of constructing a schedule with a smaller competitive ratio than that ofonline algorithms.

关键词： analysis of algorithm competitive ratio semi-online scheduling machinecost

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Disruption of egg-specific protein causes female sterility in Bombyx mori

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Insect Science 2022年第1期29卷 128-138页

作者： Xia Xu Yao-Hui Wang Zu-Lian Liu yong-Qiang Wang Lin he kai Li yong-Ping Huang Institute of Sericulture and Tea Research Zhejiang Academy of Agricultural SciencesHangzhou310021China Key Laboratory of Insect Developmental and Evolutionary Biology CAS Center for Excellence in Molecular Plant SciencesShanghai Institute of Plant Physiology and EcologyChinese Academy of SciencesShanghai200032China School of Life Science East China Normal UniversityShanghai200062China

Yolk proteins are the main source of nutrients during embryonic and early larval development in oviparous animals. Therefore, vitellogenesis is crucial for reproduction. The silkworm, Bombyx mori, is a model lepidopteran insect in which there are three yolk proteins: vitellin, 30-kDa protein, and egg-specific protein (Esp). In this study, we explored the gene function of Esp through transgenic clustered regularly interspaced palindromic repeats (CRISPR) / CRISPR-associated protein 9 technology-mediated mutations in the silkworm. We found that Esp mutation resulted in female sterility but had no effect on male fertility. Female mutants could lay eggs after mating, but the eggs were smaller and lighter colored than those laid by wild-type females. The most important finding is that the eggs laid by female mutants did not hatch. Furthermore, we observed stable inheritance of female sterility caused by Esp mutation through successive generations. Thus, Esp encodes a yolk protein that is crucial for female reproductive success and is a potential target for pest control.

关键词： Bombyx mori CRISPR/Cas9 Esp female sterility

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Feedback processing in the primate brain and in AI systems

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Science China(Technological Sciences) 2024年第8期67卷 2297-2309页

作者： JIANG yong he Sheng Institute of Biophysics Chinese Academy of SciencesBeijing 100101China Institute of Artificial Intelligence Hefei Comprehensive National Science CenterHefei 230088China University of Chinese Academy of Sciences Beijing 100049China

The primate brain and artificial intelligence(AI) can both be conceptualized as information processing systems, each with its own distinct biological and computational architectures. While there are parallels between them, their respective structural and functional connections show significant differences. In this paper, we examine the central role of feedback processing in both the primate brain and AI systems, which has been shown to be crucial in shaping neural processing. By reviewing the key features of feedback processes in the primate brain, which allows the brain to incorporate prior knowledge, contextual information, and taskdemands into early-stage processing, we highlight the divergence in goals and functions between biological and AI *** these differences is crucial for elucidating the cognitive capabilities of the primate brain and for addressing computational challenges in AI. In advocating “Cognition-Inspired-Computation”, we suggest that integrating insights from feedback processing in the primate brain into AI research will offer potentially significant improvements for the advancement of AI systems.

关键词： cognitive neuroscience artificial intelligence feedback processing attention learning

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