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Optimization of performance of the KM2A full array using the Crab Nebula

Chinese Physics C 2024年第6期48卷 169-178页

作者：曹臻 F.Aharonian 安琪阿西克古白云翔包逸炜 D.Bastieri 毕效军毕玉江蔡金庭曹晴曹文羽曹喆常进常劲帆陈尚明陈恩生陈亮陈林陈龙陈明君陈玛丽陈起辉陈素弘陈天禄陈阳程宁程耀东崔明阳崔树旺崔晓红崔昱东戴本忠代洪亮戴子高单增罗布 D.della Volpe 董绪强段凯凯樊军辉范一中方军方堃冯存峰封莉冯少辉丰晓婷冯有亮 S.Gabici 高博高川东高林青高启高卫高伟康葛茂茂耿利斯 G.Giacinti 龚光华苟全补顾旻皓郭福来郭晓磊郭义庆郭莹莹韩毅昂何会海贺昊宁何佳银何新波何钰 M.Heller 贺远强侯博文侯超侯贤胡红波胡铨胡世聪黄代绘黄天奇黄文俊黄性涛黄晓渊黄勇黄志成季筱璐贾焕玉贾康江琨姜晓巍姜泽军金敏康明铭柯通 D.Kuleshov.K.Kurinov 李兵兵李澄李骢李丹李飞李海波李会财李华阳李军李剑李捷李凯李文龙李文莲李秀荣李昕李一卓李哲黎卓梁恩维梁云峰林苏杰刘冰刘成刘栋刘虎刘海东刘佳刘江来刘金艳刘茂元柳若愚刘四明刘伟刘怡刘以农鲁睿罗晴吕洪魁马伯强马玲玲马欣华毛基荣闵振 W.Mitthumsiri 穆慧君南云程 A.Neronov 区子维庞彬宇 P.Pattarakijwanich 裴致远齐孟尧祁业情乔冰强秦家军 D.Ruffolo A.Sáiz D.Semikoz 邵澄宇邵琅 O.Shchegolev 盛祥东舒富文宋慧超 Yu.V.Stenkin V.Stepanov 苏扬孙秦宁孙晓娜孙志斌谭柏轩唐庆文唐泽波田文武王超王昌贝王广威王洪光王惠惠王建成汪凯王利苹王玲玉王培汉王冉王为王祥高王祥玉王阳王玉东王岩谨王忠海王仲翔王振王铮韦大明魏俊杰魏永健文韬吴超勇吴含荣武莎吴雪峰吴雨生席邵强夏捷夏君集项光漫肖迪泫肖刚辛广广辛玉良邢祎熊峥徐东莲徐仁峰徐仁新徐伟立薛良闫大海颜景志颜田杨朝文杨帆杨冯帆杨何文杨佳盈杨莉莉杨明洁杨睿智杨深邦姚玉华姚志国叶一锰尹丽巧尹娜游晓浩游智勇于艳红袁强岳华曾厚敦曾婷轩曾玮查敏张彬彬张丰张海明张恒英张建立张丽霞张力张鹏飞张佩佩张瑞张少博张少如张寿山张潇张笑鹏张云峰张毅张勇赵兵赵静赵雷赵立志赵世平郑福周斌周浩周佳能周猛周平周荣周勋秀祝成光祝凤荣朱辉朱科军左雄 LHAASO Collaboration Key Laboratory of Particle Astrophyics&Experimental Physics Division&Computing Center Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Beijing 100049China Tianfu Cosmic Ray research Center Chengdu 610000China Dublin institute for Advanced Studies 31 Fitzwilliam Place2 DublinIreland Max-Planck-Institut for Nuclear Physics P.O.Box 10398069029 HeidelbergGermany State Key Laboratory of Particle Detection and Electronics China University of Science and Technology of China Hefei 230026China School of Physical Science and Technology&School of Information Science and Technology Southwest Jiaotong UniversityChengdu 610031China School of Astronomy and Space Science Nanjing UniversityNanjing 210023China Center for Astrophysics Guangzhou UniversityGuangzhou 510006China Hebei Normal University Shijiazhuang 050024China Key Laboratory of Dark Matter and Space Astronomy&Key Laboratory of Radio Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210023China Tsung-Dao Lee institute&School of Physics and Astronomy Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory for research in Galaxies and Cosmology Shanghai Astronomical ObservatoryChinese Academy of SciencesShanghai 200030China Key Laboratory of Cosmic Rays(Tibet University) Ministry of EducationLhasa 850000TibetChina National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China School of Physics and Astronomy(Zhuhai)&School of Physics(Guangzhou)&Sino-French institute of Nuclear Engineering and Technology(Zhuhai) Sun Yat-sen UniversityZhuhai 519000&Guangzhou 510275China School of Physics and Astronomy Yunnan UniversityKunming 650091China Département de Physique Nucléaire et Corpusculaire Facultéde SciencesUniversitéde Genève24 Quai Ernest Ansermet1211 GenevaSwitzerland institute of Frontier and Interdisciplinary Science Shandong UniversityQingdao 266237China APC Universit'e Paris Cit'eCNRS/IN2P3CEA/IRFUObservat

The full array of the Large High Altitude Air Shower Observatory(LHAASO)has been in operation since July *** its kilometer-square array(KM2A),we optimized the selection criteria for very high and ultrahigh energyγ-rays using data collected from August 2021 to August 2022,resulting in an improvement in significance of the detection in the Crab Nebula of approximately 15%,compared with that of previous *** the implementation of these new selection criteria,the angular resolution was also significantly improved by approximately 10%at tens of *** aspects of the full KM2A array performance,such as the pointing error,were also calibrated using the Crab *** resulting energy spectrum of the Crab Nebula in the energy range of 10-1000 TeV are well fitted by a log-parabola model,which is consistent with the previous results from LHAASO and other experiments.

关键词： γ-ray Crab Nebula significance

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Pressure-driven mold filling model of aluminum alloy melt/semi-solid slurry based on rheological behavior

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Journal of Materials Science & Technology 2020年第4期39卷 14-21页

作者： Zhen Ma Huarui Zhang Wei Song Xiaoyan Wu Lina Jia Hu Zhang School of Materials Science and Engineering Beihang UniversityBeijing100191China qingdao research institute of beihang University Qingdao266000China Ningbo institute of Technology Beihang UniversityNingbo315832China

The pressure-driven mold filling ability of aluminum alloy melt/semi-solid slurry is of great significance in pressure casting processes,and the rheological behavior of the alloy has a crucial effect on the mold filling ability according to fluid *** this work,a pressure-driven mold filling model is first proposed based on the rheological behavior of the alloys.A356 alloy is employed as an example to clarify the rheological behavior of aluminum alloys,which obeys the power law model and is affected by *** rheological behavior of the alloy in semi-solid state is modelled with the coupling of shear rate and *** stop of mold filling attributes to the pressure loss which is caused by the viscosity during the flow of the melt/semi-solid *** loss caused by viscous flow and heat transfer between the alloy and the mold are calculated and coupled during the mold filling of the melt/semi-solid slurry.A pressure-driven mold filling model of aluminum alloy melt/semi-solid slurry is established based on steady-state rheological *** model successfully predicts the filling length of melt/semi-solid slurry in pressure casting *** with the experimental results,the model can provide a quantitative approach to characterize the pressure-driven mold filling ability of aluminum alloy *** model is capable of describing the stop filling behavior of other aluminum alloys in pressure casting processes with corresponding rheological parameters and heat transfer coefficient.

关键词： Mold filling model Fluidity Pressure-driven Rheological behavior Aluminum alloys Semi-solid state

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ELM-Based Impact Analysis of Meteorological Parameters on the Radio Transmission of X-Band over the Qiongzhou Strait of China

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China Communications 2023年第12期20卷 244-256页

作者： Cheng Yang Yafei Shi Jian Wang Jianguo Ma School of microelectronics Tianjin UniversityTianjin 300072China qingdao institute for Ocean Technology Tianjin UniversityQingdao 266200China Shandong Engineering Technology research Center of Ocean Information Awareness and Transmission Qingdao 266200China School of Micro-and Nano-Electronics Zhejiang UniversityHangzhou 310058China

Communication in the evaporation duct layer is greatly affected by the variation of meteorological *** on the experimental result of the radio transmission of the X-band over the Qiongzhou Strait of China,the characteristic of the duct and its influence on the transmission effect is *** results indicate that the evaporation duct height(EDH)has a negative Spearman’s rank correlation of-0.90 with the relative humidity and a positive correlation coefficient of 0.84 with the wind *** on the Extreme Learning Machine(ELM)network,we proposed a Met-ELM model that can provide efficient support in predicting propagation characteristics at *** predicted results of the MetELM model are consistent with the measurements;the root-mean-square-error is 1.66 dB,with the correlation coefficient reaching 0.96,while the proportion of mean absolute error less than 2 dB has reached81.41%.The data-derived Met-ELM model shows great accuracy in predicting propagation characteristics at nighttime,which also meets the acceptable requirements for radio wave propagation.

关键词： evaporation duct neural network prediction model propagation characteristic

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Development and application of a detection platform for colorectal cancer tumor sprouting pathological characteristics based on artificial intelligence

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Intelligent Medicine 2022年第2期2卷 82-87页

作者： Jiaqi Lu Ruiqing Liu Yuejuan Zhang Xianxiang Zhang Longbo Zheng Chao Zhang Kaiming Zhang Shuai Li Yun Lu Department of Gastrointestinal Surgery Affiliated Hospital of Qingdao UniversityQingdaoShandong 266055China Department of Pathology Affiliated Hospital of Qingdao UniversityQingdaoShandong 266003China State Key Laboratory of Virtual Reality Technology and System Beihang UniversityBeijing 100191China Shandong Provincial Key Laboratory of Digital Medicine and Computer Assisted Surgery QingdaoShandong 266003China research institute of Digital Medicine and Computer Aided Surgery Qingdao UniversityQingdaoShandong 266000China

Objective Tumor sprouting can reflect independent risk factors for tumor malignancy and a poor clinical ***,there are significant differences and difficulties associated with manually identifying tumor *** study used the Faster region convolutional neural network(RCNN)model to build a colorectal cancer tumor sprouting artificial intelligence recognition framework based on pathological sections to automatically identify the budding area to assist in the clinical diagnosis and treatment of colorectal *** We retrospectively collected 100 surgical pathological sections of colorectal cancer from January 2019 to October *** pathologists used LabelImg software to identify tumor buds and to count their ***,1,000 images were screened,and the total number of tumor buds was approximately 3,226;the images were randomly divided into a training set and a test set at a ratio of 6:*** the images in the training set were manually identified,the identified buds in the 600 images were used to train the Faster RCNN identification *** the establishment of the artificial intelligence identification detection platform,400 images in the test set were used to test the identification detection system to identify and predict the area and number of tumor ***,by comparing the results of the Faster RCNN system and the identification information of pathologists,the performance of the artificial intelligence automatic detection platform was evaluated to determine the area and number of tumor sprouting in the pathological sections of the colorectal cancers to achieve an auxiliary diagnosis and to suggest appropriate *** selected performance indicators include accuracy,precision,specificity,***(receiver operator characteristic)and AUC(area under the curve)were used to quantify the performance of the system to automatically identify tumor budding areas and *** The AUC of the receiver operating charac

关键词： Artificial intelligence Tumor budding Colorectal cancer Pathological section

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Fixed-time-synchronized control: a system-dimension-categorized approach

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Science China(Information Sciences) 2023年第7期66卷 177-194页

作者： Wanyue JIANG Shuzhi Sam GE Dongyu LI institute for Future & Shandong Key Laboratory of Industrial Control Technology School of Automation Qingdao University Department of Electrical and Computer Engineering National University of Singapore School of Cyber Science and Technology Beihang University Shanghai institute of Satellite Engineering

This study addresses the fixed-time-synchronized control problem of perturbed multi-input multioutput(MIMO) systems. In the task of fixed-time-synchronized control, different dimensions of the output signal in MIMO systems are required to reach the desired value simultaneously within a fixed time *** MIMO system is categorized into two cases: the input-dimension-dominant and the state-dimensiondominant cases. The classification is defined according to the dimension of system signals and, more importantly, the capability of converging at the same time. For each kind of MIMO system, sufficient Lyapunov conditions for fixed-time-synchronized convergence are explored, and the corresponding robust sliding mode controllers are designed. Moreover, perturbations are compensated using the super-twisting technique. The brake control of the vertical takeoff and landing aircraft is considered to verify the proposed method for the input-dimension-dominant case, which shows the essential advantages of decreasing the energy consumption and the output trajectory length. Furthermore, comparative numerical simulations are performed to show the semi-time-synchronized property for the state-dimension-dominant case.

关键词： fixed-time-synchronized convergence sliding mode control perturbed MIMO systems

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Reinforcement learning-based unknown reference tracking control of HMASs with nonidentical communication delays

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Science China(Information Sciences) 2023年第7期66卷 46-57页

作者： Yong XU Zheng-Guang WU Wei-Wei CHE Deyuan MENG School of Automation Beijing Institute of Technology institute of Cyber-Systems and Control Zhejiang University College of Mathematics and Computer Science Zhejiang Normal University Department of Automation Qingdao University School of Automation Science and Electrical Engineering Beihang University(BUAA)

This paper focuses on the optimal output synchronization control problem of heterogeneous multiagent systems(HMASs) subject to nonidentical communication delays by a reinforcement learning *** with existing studies assuming that the precise model of the leader is globally or distributively accessible to all or some of the followers, the leader’s precise dynamical model is entirely inaccessible to all the followers in this paper. A data-based learning algorithm is first proposed to reconstruct the leader’s unknown system matrix online. A distributed predictor subject to communication delays is further devised to estimate the leader’s state, where interaction delays are allowed to be nonidentical. Then, a learning-based local controller, together with a discounted performance function, is projected to reach the optimal output synchronization. Bellman equations and game algebraic Riccati equations are constructed to learn the optimal solution by developing a model-based reinforcement learning(RL) algorithm online without solving regulator equations, which is followed by a model-free off-policy RL algorithm to relax the requirement of all agents’ dynamics faced by the model-based RL algorithm. The optimal tracking control of HMASs subject to unknown leader dynamics and communication delays is shown to be solvable under the proposed RL algorithms. Finally, the effectiveness of theoretical analysis is verified by numerical simulations.

关键词： heterogeneous multiagent systems HMAS reinforcement learning RL optimal output synchronization communication delays

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Atomic insights of electronic states engineering of GaN nanowires by Cu cation substitution for highly efficient lithium ion battery

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Journal of Energy Chemistry 2022年第4期31卷 46-54页

作者： Zhenjiang Li Kesheng Gao Ying Han Shiqi Ding Yanglansen Cui Minmin Hu Jian Zhao Meng Zhang Alan Meng Jimmy Yun Zhiming Liu Da-Wei Wang Changlong Sun College of Materials Science and Engineering Qingdao University of Science and TechnologyQingdao 266042ShandongChina School of Chemical Engineering The University of New South WalesSydneyNSW 2052Australia Shandong Engineering Laboratory for Preparation and Application of High-performance Carbon-Materials College of Electromechanical EngineeringQingdao University of Science and TechnologyQingdao 266061ShandongChina Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science MOECollege of Chemistry and Molecular EngineeringQingdao University of Science and TechnologyQingdao 266042ShandongChina qingdao International Academician Park research institute QingdaoShandong 266000China School of Materials Science and Engineering Beihang University100191 BeijingChina School of Materials Science and Engineering Xi’an Jiaotong UniversityXi’an 710049ShaanxiChina

Electronic engineering of gallium nitride(Ga N) is critical for enhancement of its electrode *** this work, copper(Cu) cation substituted Ga N(Cu-Ga N) nanowires were fabricated to understand the electronically engineered electrochemical performance for Li ion storage. Cu cation substitution was revealed at atomic level by combination of X-ray photoelectron spectroscopy(XPS), X-ray absorption fine structure(XAFS), density functional theory(DFT) simulation, and so forth. The Cu-Ga N electrode delivered high capacity of 813.2 m A h g^(-1) at 0.1 A g^(-1) after 200 cycles, increased by 66% relative to the unsubstituted Ga N electrode. After 2000 cycles at 10 A g^(-1),the reversible capacity was still maintained at326.7 m A h g^(-1). The DFT calculations revealed that Cu substitution introduced the impurity electronic states and efficient interatomic electron migration, which can enhance the charge transfer efficiency and reduce the Li ion adsorption energy on the Cu-Ga N electrode. The ex-situ SEM, TEM, HRTEM, and SAED analyses demonstrated the reversible intercalation Li ion storage mechanism and good structural stability. The concept of atomic-arrangement-assisted electronic engineering strategy is anticipated to open up opportunities for advanced energy storage applications.

关键词： Cu cation substitution Electronic states engineering GaN nanowires Lithium-ion batteries DFT

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室温斯格明子的隧道结器件的制备

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Science Bulletin 2022年第7期67卷 691-699页

作者：李赛杜奥王亚栋王馨苒张学莹程厚义蔡文龙卢世阳曹凯华潘彪雷娜康旺刘俊明 Albert Fert 侯志鹏赵巍胜 Fert Beijing institute MIIT Key Laboratory of SpintronicsSchool of Integrated Circuit Science and EngineeringBeihang UniversityBeijing 100191China Shenyuan Honors College Beihang UniversityBeijing 100191China beihang-Geortek Joint microelectronics institute Qingdao Research InstituteBeihang UniversityQingdao 266104China Guangdong Provincial Key Laboratory of Optical Information Materials and Technology&institute for Advanced Materials South China Academy of Advanced OptoelectronicsSouth China Normal UniversityGuangzhou 510006China Laboratory of Solid State Microstructures and Innovation Center of Advanced Microstructures Nanjing UniversityNanjing 211102China

斯格明子是一种具有拓扑非平庸手性涡旋态的磁性结构,因其纳米尺度和新奇电学调控特性,在未来信息技术中有着重要应用前景.在过去十年,斯格明子的电学激发成核和驱动已经在实验上被证明,然而与现行半导体工艺兼容的电学检测还没有实现,... 详细信息

斯格明子是一种具有拓扑非平庸手性涡旋态的磁性结构,因其纳米尺度和新奇电学调控特性,在未来信息技术中有着重要应用前景.在过去十年,斯格明子的电学激发成核和驱动已经在实验上被证明,然而与现行半导体工艺兼容的电学检测还没有实现,这被认为是斯格明子应用进程中亟需填补的空白.本研究成功制备了基于斯格明子的隧道结器件,并在实验上实现了室温下亚百纳米斯格明子的实空间观测及同步隧穿磁阻检测.与霍尔效应相比,斯格明子的隧穿磁阻检测方法使得信号强度提高了三个数量级以上.该研究进一步通过脉冲电流实现了斯格明子非易失、多阻态调控,并模拟人工突触和神经元器件功能.该器件的成功研制将极大推进斯格明子的应用,为高密度、超低功耗的类脑计算架构提供新的物理机制.

关键词：半导体工艺隧道结信息技术霍尔效应空间观测应用进程超低功耗类脑计算

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Effect of holding pressure on density and cooling rate of cast Al-Si alloy during additive pressure casting

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China Foundry 2019年第6期16卷 363-370页

作者： Zhen Fan Wei Song Hua-rui Zhang Bao-sheng Zhou Xiao-yan Wu Li-na Jia Hu Zhang School of Materials Science and Engineering Beihang UniversityBeijing 100191China qingdao research institute of beihang Universtiy Qingdao 266000China Ningbo institute of Technology Beihang UniversityNingbo 315832China

The cast Al-Si alloy was fabricated using the Additive Pressure Casting(APC)*** effects of holding pressure from 50 to 400 k Pa on the density,cooling rate,and mechanical properties of the alloy,and the corresponding mechanism were *** results indicate that the application of high holding pressure(300 k Pa)enhances the feeding ability of the alloy,leading to an increase of the ***,the cooling rate of the alloy is increased by 100%.In addition,the tensile testing results show that the increase of holding pressure from 50 to 300 k Pa improves the tensile strength and elongation of the alloy by 6.2%and 81.3%,***,excessive holding pressure(400 k Pa)might lower the density and cooling rate of the alloy due to the feeding channels being blocked.

关键词： holding pressure cast Al-Si alloy density cooling rate mechanical properties additive pressure casting

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Study on the adaptability of augmented reality smartglasses for astigmatism based on holographic waveguide grating

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Virtual Reality & Intelligent Hardware 2020年第1期2卷 79-85页

作者： Shenze WANG Kaikai DU Ningfang SONG Dongfeng ZHAO Di FENG Zhengqian TU beihang University Beijing 100083China qingdao research institute of beihang University Qingdao 266100ShandongChina Goertek Co. Ltd.Qingdao 266100ShandongChina

Background Augmen ted reality(AR)smartglasses are considered as the next generation of smart devices to replace mobile phones,and are widely *** at present,AR smartglasses are usually designed according to the human normal *** order to experience AR smartglasses perfectly,abnormal eye users must first wear *** For people with astigmatism to use AR smartglasses without wearing a diopter lens,a cylindrical lens waveguide grating is designed in this study based on the principle of holographic waveguide ***,a cylindrical lens waveguide substrate is constructed for external light deflection to satisfy the users'normal viewing of the real ***,a variable period grating structure is established based on the cylindrical lens waveguide substrate to normally emit the light from the virtual world in the optical machine to the human ***,the structural parameters of grating are optimized to improve the diffraction *** The results show that the structure of cylindrical lens waveguide grating allows people with astigmatism to wear AR smartglasses *** total light utilization rate reaches 90%with excellent imaging *** brightness difference is less than 0.92%and the vertical field of view is 10°.Conclusions This research serves as a guide for AR product designs for people with long/short sightedness and promotes the development of such products.

关键词： Holographic waveguide grating Augmented reality smartglasses Cylindrical lens Astigmatism

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