|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Human infections with the emerging avian influenza A H7N9 virus from wet market poultry: clinical analysis and characterisation of viral genome显示文摘 | Yu Chen Weifeng Liang Shigui Yang Nanping Wu Hainv Gao Jifang Sheng Hangping Yao Jianer Wo Qiang Fang Dawei Cui Yongcheng Li Xing Yao Yuntao Zhang Haibo Wu Shufa Zheng Hongyan Diao Shichang Xia Yanjun Zhang Kwok-Hung Chan Hoi-Wah Tsoi Jade Lee-Lee Teng We | 2013 | 2013 (9881)2013，，9881： | 2 |
| 2 | The C_(6)D_(6)detector system on the Back-n beam line of CSNS显示文摘Introduction The neutron capture cross sections are very important in the field of nuclear device design and basic physics research.Hydrogen-free liquid scintillator such as C_(6)D_(6)detectors are widely used in the neutron capture cross-sectional measurements for the low neutron sensitivity and fast time response.The Back-n white neutron source at China Spallation Neutron Source is the first spallation white neutron source in China,and it is suitable for neutron capture cross-sectional measurement.Materials and methods A C_(6)D_(6)detector system was built in the Back-n experimental station.The pulse height weighting technique was used to determine the system’s detection efficiency.The response to gamma rays of the C_(6)D_(6)detector was measured,and the energy resolution function was determined.Monte Carlo simulation with Geant4 code was carried out to get the weighting function of this C_(6)D_(6)detector system.Additionally,the systematic uncertainty of the weighting function was also determined.Conclusion According to the experimental and simulation results,this C_(6)D_(6)detector system can be used to measure neutron capture cross section. | Jie Ren Xichao Ruan Jie Bao Guangyuan Luan Wei Jiang Qi An Huaiyong Bai Ping Cao Qiping Chen Yonghao Chen Pinjing Cheng Zengqi Cui Ruirui Fan Changqing Feng Minhao Gu Fengqin Guo Changcai Han Zijie Han Guozhu He Yongcheng He Yuefeng He Hanxiong Huang Weiling Huang Xiru Huang Xiaolu Ji Xuyang Ji Haoyu Jiang Hantao Jing Ling Kang Mingtao Kang Bo Li Lun Li Qiang Li Xiao Li Yang Li Yang Li Rong Liu Shubin Liu Xingyan Liu Yinglin Ma Changjun Ning Binbin Qi Zhaohui Song Hong Sun Xiaoyang Sun Zhijia Sun Zhixin Tan Hongqing Tang Jingyu Tang Pengcheng Wang Qi Wang Taofeng Wang Yanfeng Wang Zhaohui Wang Zheng Wang Jie Wen Zhongwei Wen Qingbiao Wu Xiaoguang Wu Xuan Wu Likun Xie Yiwei Yang Han Yi Li Yu Tao Yu Yongji Yu Guohui Zhang Jing Zhang Linhao Zhang Liying Zhang Qingmin Zhang Qiwei Zhang Xianpeng Zhang Yuliang Zhang Zhiyong Zhang Yingtan Zhao Liang Zhou Zuying Zhou Danyang Zhu Kejun Zhu Peng Zhu | 2019 | Radiation Detection Technology and Methods2019，3，3： | 1 |
| 3 | Human infections with the emerging avian influenza A H7N9 virus from wet market poultry: clinical analysis and characterisation of viral genome显示文摘 | Yu Chen Weifeng Liang Shigui Yang Nanping Wu Hainv Gao Jifang Sheng Hangping Yao Jianer Wo Qiang Fang Dawei Cui Yongcheng Li Xing Yao Yuntao Zhang Haibo Wu Shufa Zheng Hongyan Diao Shichang Xia Yanjun Zhang Kwok-Hung Chan Hoi-Wah Tsoi Jade Lee-Lee Teng We | 2013 | The Lancet2013，，9881： | 1 |
| 4 | A deep Q-learning network based active object detection model with a novel training algorithm for service robots显示文摘This paper focuses on the problem of active object detection(AOD).AOD is important for service robots to complete tasks in the family environment,and leads robots to approach the target ob ject by taking appropriate moving actions.Most of the current AOD methods are based on reinforcement learning with low training efficiency and testing accuracy.Therefore,an AOD model based on a deep Q-learning network(DQN)with a novel training algorithm is proposed in this paper.The DQN model is designed to fit the Q-values of various actions,and includes state space,feature extraction,and a multilayer perceptron.In contrast to existing research,a novel training algorithm based on memory is designed for the proposed DQN model to improve training efficiency and testing accuracy.In addition,a method of generating the end state is presented to judge when to stop the AOD task during the training process.Sufficient comparison experiments and ablation studies are performed based on an AOD dataset,proving that the presented method has better performance than the comparable methods and that the proposed training algorithm is more effective than the raw training algorithm. | Shaopeng LIU Guohui TIAN Yongcheng CUI Xuyang SHAO | 2022 | Frontiers of Information Technology & Electronic Engineering2022，23，11： | 1 |
| 5 | Microstructure and enhanced H 2 S sensing properties of Pt-loaded WO 3 thin films显示文摘 | Yanbai Shen Baoqing Zhang Xianmin Cao Dezhou Wei Jiawei Ma Lijun Jia Shuling Gao Baoyu Cui Yongcheng Jin | 2014 | Chemical2014，，： | 1 |
| 6 | Human infections with the emerging avian influenza A H7N9 virus from wet market poultry: clinical analysis and characterisation of viral genome显示文摘 | Yu Chen Weifeng Liang Shigui Yang Nanping Wu Hainv Gao Jifang Sheng Hangping Yao Jianer Wo Qiang Fang Dawei Cui Yongcheng Li Xing Yao Yuntao Zhang Haibo Wu Shufa Zheng Hongyan Diao Shichang Xia Yanjun Zhang Kwok-Hung Chan Hoi-Wah Tsoi Jade Lee-Lee Teng We | 2013 | The Lancet2013，，9881： | 1 |
| 7 | Human infections with the emerging avian influenza A H7N9 virus from wet market poultry: clinical analysis and characterisation of viral genome显示文摘 | Yu Chen Weifeng Liang Shigui Yang Nanping Wu Hainv Gao Jifang Sheng Hangping Yao Jianer Wo Qiang Fang Dawei Cui Yongcheng Li Xing Yao Yuntao Zhang Haibo Wu Shufa Zheng Hongyan Diao Shichang Xia Yanjun Zhang Kwok-Hung Chan Hoi-Wah Tsoi Jade Lee-Lee Teng We | 2013 | The Lancet2013，，9881： | 1 |
| 8 | Detector development at the Back-n white neutron source显示文摘Purpose Back-n is a white neutron beamline at China spallation neutron source,which was established in the year of 2018.It is a powerful facility for nuclear data measurement,neutron detector calibration,and radiation effect research.Method A series of detectors were built for different experiments,including beam monitoring,beam profile measurement,neutron induced secondaries(fission fragments,light charged particles and gamma)cross section measurement,and neutron resonance radiography,etc.A common digitization electronics and a cluster-based DAQ were developed for these detector systems.Most detectors have been employed at Back-n and serviced for experiments from the beginning of the beamline running.Results and conclusion As an overview of detectors of Back-n,the details of the detector design and the experiment performing are described in this paper.Some developing systems,e.g.,MTPC and B-MCP,are also included. | Fan Ruirui Li Qiang Bao Jie Li Yang Liu Rong Jiang Wei Ren Jie Zhang Qiwei Cao Ping Gu Minhao Ren Zhizhou Yi Han Tang Jingyu An Qi Bai Haofan Bai Jiangbo Chen Qiping Chen Yonghao Chen Zhen Cui Zengqi Fan Anchuan Feng Changqing Feng Fanzhen Gao Keqing Han Changcai Han Zijie He Guozhu He Yongcheng Hong Yang Hu Yiwei Huang Hanxiong Jia Weihua Jiang Haoyu Jiang Zhijie Jin Zhengyao Kang Ling Li Bo Li Chao Li Gong Li Jiawen Li Xiao Liu Jie Liu Shubin Luan Guangyuan Ning Changjun Qi Binbin Ruan Xichao Song Zhaohui Sun Kang Tan Zhixin Tang Shengda Wang Pengcheng Wang Zhaohui Wen Zhongwei Wu Xiaoguang Wu Xuan Xie Likun Yang Yiwei Yu Yongji Zhang Guohui Zhang Linhao Zhang Mohan Zhang Xianpeng Zhang Yuliang Zhang Yue Zhang Zhiyong Zhao Maoyuan Zhou Luping Zhou Zhihao Zhu Kejun The CSNS Back-n Collaboration | 2023 | Radiation Detection Technology and Methods2023，7，2： | 0 |
| 9 | A Task-Oriented Hybrid Cloud Architecture with Deep Cognition Mechanism for Intelligent Space显示文摘Intelligent Space(IS)is widely regarded as a promising paradigm for improving quality of life through using service task processing.As the field matures,various state-of-the-art IS architectures have been proposed.Most of the IS architectures designed for service robots face the problems of fixedfunction modules and low scalability when performing service tasks.To this end,we propose a hybrid cloud service robot architecture based on a Service-Oriented Architecture(SOA).Specifically,we first use the distributed deployment of functional modules to solve the problem of high computing resource occupancy.Then,the Socket communication interface layer is designed to improve the calling efficiency of the function module.Next,the private cloud service knowledge base and the dataset for the home environment are used to improve the robustness and success rate of the robot when performing tasks.Finally,we design and deploy an interactive system based on Browser/Server(B/S)architecture,which aims to display the status of the robot in real-time as well as to expand and call the robot service.This system is integrated into the private cloud framework,which provides a feasible solution for improving the quality of life.Besides,it also fully reveals how to actively discover and provide the robot service mechanism of service tasks in the right way.The results of extensive experiments show that our cloud system provides sufficient prior knowledge that can assist the robot in completing service tasks.It is an efficient way to transmit data and reduce the computational burden on the robot.By using our cloud detection module,the robot system can save approximately 25% of the averageCPUusage and reduce the average detection time by 0.1 s compared to the locally deployed system,demonstrating the reliability and practicality of our proposed architecture. | Yongcheng Cui Guohui Tian Xiaochun Cheng | 2023 | Computers, Materials & Continua2023，76，8： | 0 |
| 10 | Experimentally realizing efficient quantum control with reinforcement learning显示文摘We experimentally investigate deep reinforcement learning(DRL)as an artificial intelligence approach to control a quantum system.We verify that DRL explores fast and robust digital quantum controls with operation time analytically hinted by shortcuts to adiabaticity.In particular,the protocol’s robustness against both over-rotations and off-resonance errors can still be achieved simultaneously without any priori input.For the thorough comparison,we choose the task as single-qubit flipping,in which various analytical methods are well-developed as the benchmark,ensuring their feasibility in the quantum system as well.Consequently,a gate operation is demonstrated on a trapped^(171) Yb^(+)ion,significantly outperforming analytical pulses in the gate time and energy cost with hybrid robustness,as well as the fidelity after repetitive operations under time-varying stochastic errors.Our experiments reveal a framework of computer-inspired quantum control,which can be extended to other complicated tasks without loss of generality. | Ming-Zhong Ai Yongcheng Ding Yue Ban JoséDMartín-Guerrero Jorge Casanova Jin-Ming Cui Yun-Feng Huang Xi Chen Chuan-Feng Li Guang-Can Guo | 2022 | Science China(Physics,Mechanics & Astronomy)2022，65，5： | 0 |
| 11 | Microzone-explosion synthesis of porous carbon electrodes for advanced aqueous solid-state supercapacitors with a high-voltage gel electrolyte显示文摘A new microzone-combustion synthesis is proposed for preparing S, N-doped hierarchically porous carbons(CAC-CN) with a novel mixed microstructure of sp~2 short-range order area and sp~3 defective area,achieving a coexistence of high conductivity and high capacitance as well as good access for electrolyte.By engineering ‘‘water in salts' into a polymer matrix, a high-voltage(2.5 V) aqueous gel electrolyte(HGWIS) is prepared and used to construct an aqueous solid-state SCs by in situ polymerization between the electrodes. The good match of CAC-CN electrode and HG-WIS electrolyte endows the assembled devices with superior high energy density and excellent capacitance retention, also a good temperature robustness, as well a high flexibility in 0-180° bending cycles. This study indicates that the collaborative design strategy of electrode materials and electrolyte would be great potential in exploring advanced aqueous solid-state SCs. | Yongxu Du Wei Liu Yongpeng Cui Hongguang Fan Yuan Zhang Tianqi Wang Huanlei Wang Yongcheng Jin Shuang Liu Wenting Feng Ming Chen | 2021 | Journal of Energy Chemistry2021，30，9： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员