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7篇 您的检索式:作者名="Huajie Shao"
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1Optimal midcourse trajectory planning considering the capture region显示文摘An optimal midcourse trajectory planning approach that considers the capture region(CR) of the terminal guidance is proposed in this article based on the Gauss pseudospectral method(GPM). Firstly, the planar CR of the proportional navigation in terminal guidance is analyzed and innovatively introduced in the midcourse trajectory planning problems, with the collision triangle(CT) serving as the ideal terminal states parameters of the midcourse phase, and the CR area serving as the robustness against target maneuvers. Secondly, the midcourse trajectory planning problem that considers the path, terminal and control constraints is formulated and the well-developed GPM is used to generate the nominal trajectory that meets the CR demands. The interceptor will reshape the trajectory only when the former CR fails to cover the target, which has loosened the critical demand for frequent trajectory modification. Finally, the simulations of four different scenarios are carried out and the results prove the effectiveness and optimality of the proposed method.ZHOU Jin SHAO Lei WANG Huaji ZHANG Dayuan LEI Humin 2018Journal of Systems Engineering and Electronics2018,29,3:6
2Microstructure engineering beyond SnSe_(1-x)S_(x)solid solution for high thermoelectric performance显示文摘Recently,SnSe has attracted wide attention as a promising environment-friendly IV-VI thermoelectric material.Here,SnS is alloyed with Na-doped SnSe to decrease the thermal conductivity for better thermoelectric performance.Consistent with previous reports,the lattice constant and the band gap change linearly with increasing SnS,suggesting the formation of SnSe1-xSx solid solution.However,SnS nano-precipitations have been clearly observed,indicating the phase separation in the alloys.Moreover,the grain size decreases obviously with increasing SnS amount.The first-principles calculations show that the nano-precipitation is due to the positive formation energies for SnSe1-xSx in the small x region.Due to the structure engineering,the lattice thermal conductivity is greatly reduced in SnSe1-xSx samples,leading to a promising ZT of 1.35 for Na_(0.03)Sn_(0.97)Se_(0.7S0.3)at 816 K.Miaomiao Li Hezhu Shao Jingtao Xu Qingsong Wu Xiaojian Tan Guoqiang Liu Min Jin Haoyang Hu Huajie Huang Jianfeng Zhang Jun Jiang 2018Journal of Materiomics2018,4,4:1
3Repeated Wildfires in the Middle Jurassic Xishanyao Formation(Aalenian and Bajocian Ages) in Northwestern China显示文摘The coal-bearing strata in the southern Junggar Basin in northwestern China have recently attracted the attention of coal geologists. Its abundance of coal resources is of great interest as there is a potential of unlocking details about the palaeoclimatic information. Coal deposits have the capacity to record wildfire events, even those with inefficient combustions. To characterize wildfire events and palaeoclimatic history of the Middle Jurassic Xishanyao Formation(Aalenian and Bajocian ages), 22 coal samples from borehole cores and coal mines in the southern Junggar Basin were collected and their macerals were analyzed. The results indicated that fusinite and semi-fusinite were the dominant components of inertinite with proportions of 35.27% and 54.67%, respectively. The presence of inertinite is an indicator that wildfires occurred at the time of peat land development, and the widespread occurrence suggests large scale wildfires during the Middle Jurassic. This study proposes a new parameter for the evaluation of wildfire features by combining burning frequency and burning temperature. The comprehensive evaluation index(CEI) was influenced by the lacustrine basin level and ancient plant types from a sequence framework. During the Middle Jurassic, most wildfires were surface fires with low level and ground fire with high level. High oxygen levels were estimated in the lower, middle, and upper members of the Xishanyao Formation with corresponding to 26.78%, 24.55%, and 23.55%, respectively. The high oxygen levels would be the primary cause of repeated wildfires in the Middle Jurassic. These results are helpful for understanding palaeoclimatic changes in the Middle Jurassic.HOU Haihai SHAO Longyi LIANG Guodong TANG Yue ZHANG Huajie ZHANG Jiaqiang 2022Acta Geologica Sinica(English Edition)2022,96,5:1
4LBA-EC:Load Balancing Algorithm Based on Weighted Bipartite Graph for Edge Computing显示文摘Compared with cloud computing environment,edge computing has many choices of service providers due to different deployment environments.The flexibility of edge computing makes the environment more complex.The current edge computing architecture has the problems of scattered computing resources and limited resources of single computing node.When the edge node carries too many task requests,the makespan of the task will be delayed.We propose a load balancing algorithm based on weighted bipartite graph for edge computing(LBA-EC),which makes full use of network edge resources,reduces user delay,and improves user service experience.The algorithm is divided into two phases for task scheduling.In the first phase,the tasks are matched to different edge servers.In the second phase,the tasks are optimally allocated to different containers in the edge server to execute according to the two indicators of energy consumption and completion time.The simulations and experimental results show that our algorithm can effectively map all tasks to available resources with a shorter completion time.SHAO Sisi LIU Shangdong LI Kui YOU Shuai QIU Huajie YAO Xiaoliang JI Yimu 2023Chinese Journal of Electronics2023,32,2:1
5Microstructural Characterization of Long-Period Stacking Ordered Phases in Mg97Zn1Y2 (at.%) Alloy显示文摘Xiaohong Shao Huajie Yang Jeff T.M. De Hosson Xiuliang Ma 2013Microscopy and Microanalysis2013,,6:1
6Towards Task-Free Privacy-Preserving Data Collection显示文摘With the rapid developments of Internet of Things(IoT)and proliferation of embedded devices,large volume of personal data are collected,which however,might carry massive private information about attributes that users do not want to share.Many privacy-preserving methods have been proposed to prevent privacy leakage by perturbing raw data or extracting task-oriented features at local devices.Unfortunately,they would suffer from significant privacy leakage and accuracy drop when applied to other tasks as they are designed and optimized for predefined tasks.In this paper,we propose a novel task-free privacy-preserving data collection method via adversarial representation learning,called TF-ARL,to protect private attributes specified by users while maintaining data utility for unknown downstream tasks.To this end,we first propose a privacy adversarial learning mechanism(PAL)to protect private attributes by optimizing the feature extractor to maximize the adversary’s prediction uncertainty on private attributes,and then design a conditional decoding mechanism(ConDec)to maintain data utility for downstream tasks by minimizing the conditional reconstruction error from the sanitized features.With the joint learning of PAL and ConDec,we can learn a privacy-aware feature extractor where the sanitized features maintain the discriminative information except privacy.Extensive experimental results on real-world datasets demonstrate the effectiveness of TF-ARL.Zhibo Wang Wei Yuan Xiaoyi Pang Jingxin Li Huajie Shao 2022China Communications2022,19,7:0
7Ore-forming fluid characteristics and ore-forming materials source of the Tudimiaogou – Yindongshan lead-zinc polymetallic orefield, west Henan显示文摘1 Introduction The Tudimiaogou-Yindongshan lead-zinc polymetallic orefield is located in the Tudimiaogou-Weimoshi lead and zinc silver polymetallic metallogenic belt.The belt is an important part of southwestern Henan lead andTAN Huajie SHAO Yongjun ZHENG Minghong ZHOU Houdi ZHANG Jiandong PENG Guangxiong Cheng Luping 2017Acta Geologica Sinica(English Edition)2017,91,S1:0
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