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Inverse Calculation and Regularization Process for the Solar Aspect System(SAS) of HXI Payload on ASO-S Spacecraft

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Research in Astronomy and Astrophysics 2024年第4期24卷 13-34页

作者： Ji-Rui Yu Ping Ruan Yang Su Ying-Hong He Jin-You Tao Zhe Zhang song guo Bin Xue Jian-Feng Yang Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences Xi'an 710119China University of Chinese Academy of Sciences Beijing 100049China Key Laboratory of Dark Matter and Space Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 20034China School ofAstronomy and Space Science Universityof Science and Technology of ChinaHefei 230026China

For the ASO-S/HXI payload, the accuracy of the flare reconstruction is reliant on important factors such as the alignment of the dual grating and the precise measurement of observation orientation. To guarantee optimal functionality of the instrument throughout its life cycle, the Solar Aspect System (SAS) is imperative to ensure that measurements are accurate and reliable. This is achieved by capturing the target motion and utilizing a physical model-based inversion algorithm. However, the SAS optical system’s inversion model is a typical ill-posed inverse problem due to its optical parameters, which results in small target sampling errors triggering unacceptable shifts in the solution. To enhance inversion accuracy and make it more robust against observation errors, we suggest dividing the inversion operation into two stages based on the SAS spot motion model. First, the as-rigid-aspossible (ARAP) transformation algorithm calculates the relative rotations and an intermediate variable between the substrates. Second, we solve an inversion linear equation for the relative translation of the substrates, the offset of the optical axes, and the observation orientation. To address the ill-posed challenge, the Tikhonov method grounded on the discrepancy criterion and the maximum a posteriori (MAP) method founded on the Bayesian framework are utilized. The simulation results exhibit that the ARAP method achieves a solution with a rotational error of roughly±3 5 (1/2-quantile);both regularization techniques are successful in enhancing the stability of the solution, the variance of error in the MAP method is even smaller—it achieves a translational error of approximately±18μm (1/2-quantile) in comparison to the Tikhonov method’s error of around±24μm (1/2-quantile). Furthermore, the SAS practical application data indicates the method’s usability in this study. Lastly, this paper discusses the intrinsic interconnections between the regularization methods.

关键词： methods:data analysis Sun:flares Sun:X-rays gamma rays

A Novel Analysis Approach of Uniform Persistence for an Epidemic Model with Quarantine and Standard Incidence Rate

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Acta Mathematicae Applicatae Sinica 2024年第3期40卷 695-707页

作者： song-bai guo Yu-ling XUE Xi-liang LI Zuo-huan ZHENG School of Science Beijing University of Civil Engineering and ArchitectureBeijing 102616China School of Mathematics and Statistics Hainan Normal UniversityHaikou 571158China Academy of Mathematics and Systems Science Chinese Academy of SciencesBeijing 100190China School of Mathematics and Information Science Shandong Technology and Business UniversityYantai 264005China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China

Inspired by the transmission characteristics of the coronavirus disease 2019(COVID-19),an epidemic model with quarantine and standard incidence rate is first developed,then a novel analysis approach is proposed for finding the ultimate lower bound of the number of infected individuals,which means that the epidemic is uniformly persistent if the control reproduction number R_(c)>1.This approach can be applied to the related biomat hem at ical models,and some existing works can be improved by using that.In addition,the infection-free equilibrium V^(0)of the model is locally asymptotically stable(LAS)if R_(c)1.

关键词： uniform persistence epidemic model control reproduction number quarantine standard incidence rate

Cortical bone trajectory screws in the treatment of lumbar degenerative disc disease in patients with osteoporosis

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World Journal of Clinical Cases 2022年第36期10卷 13179-13188页

作者： song guo Kai Zhu Mei-Jun Yan Xin-Hua Li Jun Tan Department of Orthopedics Surgery Shanghai General HospitalShanghai Jiao Tong UniversityShanghai 200080China Department of OrthopedicsⅡ Qingdao No.8 People’s HospitalQingdao 266121Shandong ProvinceChina Department of Orthopedics United Family HealthcareShanghai 200336China

Lumbar degenerative disc disease(DDD)in the elderly population remains a global health problem,especially in patients with osteoporosis.Osteoporosis in the elderly can cause failure of internal fixation.Cortical bone trajectory(CBT)is an effective,safe and minimally invasive technique for the treatment of lumbar DDD in patients with osteoporosis.In this review,we analyzed the anatomy,biomechanics,and advantages of the CBT technique in lumbar DDD and revision surgery.Additionally,the clinical trials and case reports,indications,advancements and limitations of this technique were further discussed and reviewed.Finally,we concluded that the CBT technique can be a practical,effective and safe alternative to traditional pedicle screw fixation,especially in DDD patients with osteoporosis.

关键词： Lumbar degenerative disc diseases Cortical bone trajectory screw Anatomy Biomechanics Indications Clinical trials and case reports Advancements

法院专项工作报告制度的运行逻辑与优化发展——以最高人民法院专项工作报告的实践为分析素材

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政治与法律 2024年第5期 17-33页

作者：郭松四川大学法学院四川成都610207

作为具有中国特色的法律治理手段,法院专项工作报告制度的确立蕴含着人大监督权扩张、法院组织成长、人大与法院互动等丰富信息。法院报告专项工作的频次、议题选择、内容构成与报告审议为把握法院专项报告制度的现实图景提供了具体维... 详细信息

作为具有中国特色的法律治理手段,法院专项工作报告制度的确立蕴含着人大监督权扩张、法院组织成长、人大与法院互动等丰富信息。法院报告专项工作的频次、议题选择、内容构成与报告审议为把握法院专项报告制度的现实图景提供了具体维度。就实践而言,法院专项工作报告制度除了承载监督功能外,还发挥着契合中国政治与司法环境的独特功能。从制度成长的角度来看,法院专项工作报告制度远未成熟,尤其是一些制度机制与操作规范需要进一步明确与优化。法院专项工作报告制度将法院的日常运作与宏大的国家治理体系勾连起来,是观察人大与法院现实关系的重要切口。

关键词：专项工作报告人大监督司法制度逻辑功能效用运行调适

A survey on deploying mobile deep learning applications:A systemic and technical perspective

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Digital Communications and Networks 2022年第1期8卷 1-17页

作者： Yingchun Wang Jingyi Wang Weizhan Zhang Yufeng Zhan song guo Qinghua Zheng Xuanyu Wang a MOEKLINNS Lab School of Computer Science and TechnologyXi'an Jiaotong UniversityShaanxi710049China Department of Computing The Hong Kong Polytechnic UniversityHK999077China

With the rapid development of mobile devices and deep learning,mobile smart applications using deep learning technology have sprung up.It satisfies multiple needs of users,network operators and service providers,and rapidly becomes a main research focus.In recent years,deep learning has achieved tremendous success in image processing,natural language processing,language analysis and other research fields.Despite the task performance has been greatly improved,the resources required to run these models have increased significantly.This poses a major challenge for deploying such applications on resource-restricted mobile devices.Mobile intelligence needs faster mobile processors,more storage space,smaller but more accurate models,and even the assistance of other network nodes.To help the readers establish a global concept of the entire research direction concisely,we classify the latest works in this field into two categories,which are local optimization on mobile devices and distributed optimization based on the computational position of machine learning tasks.We also list a few typical scenarios to make readers realize the importance and indispensability of mobile deep learning applications.Finally,we conjecture what the future may hold for deploying deep learning applications on mobile devices research,which may help to stimulate new ideas.

关键词： Deep learning Mobile computing Distributed offloading Distributed caching

Energy inefficiency diagnosis for Android applications: a literature review

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Frontiers of Computer Science 2023年第1期17卷 35-50页

作者： Yuxia SUN Jiefeng FANG Yanjia CHEN Yepang LIU Zhao CHEN song guo Xinkai CHEN Ziyuan TAN Department of Computer Science Jinan UniversityGuangzhou 510632China Department of Computer Science and Engineering Southern University of Science and TechnologyShenzhen 518055China The Department of Computing Hong Kong Polytechnic UniversityHong Kong 999077China

Android applications are becoming increasingly powerful in recent years. While their functionality is still of paramount importance to users, the energy efficiency of these applications is also gaining more and more attention. Researchers have discovered various types of energy defects in Android applications, which could quickly drain the battery power of mobile devices. Such defects not only cause inconvenience to users, but also frustrate Android developers as diagnosing the energy inefficiency of a software product is a non-trivial task. In this work, we perform a literature review to understand the state of the art of energy inefficiency diagnosis for Android applications. We identified 55 research papers published in recent years and classified existing studies from four different perspectives, including power estimation method, hardware component, types of energy defects, and program analysis approach. We also did a cross-perspective analysis to summarize and compare our studied techniques. We hope that our review can help structure and unify the literature and shed light on future research, as well as drawing developers' attention to build energy-efficient Android applications.

关键词： Android applications energy defects energy inefficiency diagnosis

A Survey on Collaborative DNN Inference for Edge Intelligence

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Machine Intelligence Research 2023年第3期20卷 370-395页

作者： Wei-Qing Ren Yu-Ben Qu Chao Dong Yu-Qian Jing Hao Sun Qi-Hui Wu song guo College of Electronic and Information Engineering Nanjing University of Aeronautics and AstronauticsNanjing211100China Department of Computing Hong Kong Polytechnic UniversityHong Kong999077China

With the vigorous development of artificial intelligence(AI),intelligence applications based on deep neural networks(DNNs)have changed people’s lifestyles and production efficiency.However,the large amount of computation and data generated from the network edge becomes the major bottleneck,and the traditional cloud-based computing mode has been unable to meet the requirements of realtime processing tasks.To solve the above problems,by embedding AI model training and inference capabilities into the network edge,edge intelligence(EI)becomes a cutting-edge direction in the field of AI.Furthermore,collaborative DNN inference among the cloud,edge,and end devices provides a promising way to boost EI.Nevertheless,at present,EI oriented collaborative DNN inference is still in its early stage,lacking systematic classification and discussion of existing research efforts.Motivated by it,we have comprehensively investigated recent studies on EI-oriented collaborative DNN inference.In this paper,we first review the background and motivation of EI.Then,we classify four typical collaborative DNN inference paradigms for EI,and analyse their characteristics and key technologies.Finally,we summarize the current challenges of collaborative DNN inference,discuss future development trends and provide future research directions.

关键词： Artificial intelligence(AI) edge intelligence(EI) distributed computing deep neural network(DNN) collaborative inference

Secondary organic aerosol formation from straw burning using an oxidation flow reactor

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Journal of Environmental Sciences 2022年第4期34卷 249-258页

作者： Hui Wang song guo Zhijun Wu Kai Qiao Rongzhi Tang Ying Yu Weizhao Xu Wenfei Zhu Liwu Zeng Xiaofeng Huang Lingyan He Mattias Hallquist State Key Joint Laboratory of Environmental Simulation and Pollution Control International Joint Laboratory for Regional Pollution ControlMinistry of Education(IJRC)College of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing 10044China Key Laboratory for Urban Habitat Environmental Science and Technology College of Environment and EnergyPeking University Shenzhen Graduate SchoolShenzhen 518055China Department of Chemistry and Molecular Biology Atmospheric ScienceUniversity of GothenburgSE-41296 GothenburgSweden

Herein,we use an oxidation flow reactor,Gothenburg:Potential Aerosol Mass(Go:PAM)reactor,to investigate the secondary organic aerosol(SOA)formation from wheat straw burning.Biomass burning emissions are exposed to high concentrations of hydroxyl radicals(OH)to simulate processes equivalent to atmospheric oxidation of 0-2.55 days.Primary volatile organic compounds(VOCs)were investigated,and particles were measured before and after the Go:PAM reactor.The influence of water content(i.e.5%and 11%)in wheat straw was also explored.Two burning stages,the flaming stage,and non-flaming stages,were identified.Primary particle emission factors(EFs)at a water content of 11%(~3.89 g/kg-fuel)are significantly higher than those at a water content of 5%(~2.26 g/kg-fuel)during the flaming stage.However,the water content showed no significant influence at the non-flaming stage.EFs of aromatics at a non-flaming stage(321.8±46.2 mg/kg-fuel)are larger than that at a flaming stage(130.9±37.1 mg/kg-fuel).The OA enhancement ratios increased with the increase in OH exposure at first and decreased with the additional increment of OH exposure.The maximum OA enhancement ratio is~12 during the non-flaming stages,which is much higher than~1.7 during the flaming stages.The mass spectrum of the primary wheat burning organic aerosols closely resembles that of resolved biomass burning organic aerosols(BBOA)based on measurements in ambient air.Our results show that large gap(0%-90%)still remains to estimate biomass burning SOA if only the oxidation of VOCs were included.

关键词： Gothenburg:Potential Aerosol Mass(Go:PAM)reactor Wheat straw burning Flaming Non-flaming Secondary organic aerosol formation

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交通流“流速密能”图谱模型与应用

中国公路学报 2024年第4期37卷 84-97页

作者：黄健畅宋国华北京交通大学交通运输学院北京100044 北京交通大学综合交通运输大数据应用技术交通运输行业重点实验室北京100044

交通流的物理本质是能量驱动的物质位移。为挖掘交通流和能量的关系,基于交通流功率分布模型探索建立了流量、速度、密度和能量四要素图谱。其中,能量(kJ·km^(-1)·h^(-1))在数学上描述为能耗因子(kJ·km^(-1)·veh^(-1))和交通流量(ve... 详细信息

交通流的物理本质是能量驱动的物质位移。为挖掘交通流和能量的关系,基于交通流功率分布模型探索建立了流量、速度、密度和能量四要素图谱。其中,能量(kJ·km^(-1)·h^(-1))在数学上描述为能耗因子(kJ·km^(-1)·veh^(-1))和交通流量(veh·h^(-1))的乘积。首先,基于均衡态交通流不同空间平均速度下的功率分布,建立随平均速度变化的能耗因子曲线;其次,基于4个经典交通流基本图模型(Greenshields、Greenberg、Underwood和Van Aerde)建立速度与流量关系;最后,结合流量和能耗因子得到流量-速度-密度-能量图谱。当能量转换效率为100%时:在速度-能量方面,流量对能量的变化起到主导作用,因此,随着速度上升能量呈现先上升后下降趋势;在密度-能量方面,随着密度上升能量同样先上升后下降,但由于密度和速度呈负相关,其变化原理与速度-能量相反;在流量-能量方面,同一流量可对应低速/高速下的拥堵/非拥堵状态,能耗因子随着流量上升呈现2种状态,能耗因子上升或能耗因子下降,但下降速率低于流量上升速率。该研究是面向能量网络制定精细化政策和优化能源网络设施设计的先行工作。

关键词：交通工程流速密能图谱功率分布能量交能融合