|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Period selection for integrated controller tasks in cyber-physical systems显示文摘Performance optimization of cyber-physical systems(CPS)calls for co-design strategies that handle the issues in both computing domain and physical domain.Periods of controller tasks integrated into a uniprocessor system are related to both control performance and real-time schedulability analysis simultaneously.System performance improvement can be achieved by optimizing the periods of controller tasks.This paper extends an existing model to select task periods in real-time for CPS with fixed priority controller tasks scheduled by rate-monotonic algorithm.When all the tasks can be integrated,the analytic solution of the problem is derived by using the method of Lagrange multipliers and gradient descent method is evaluated to be suitable online.To further deal with the condition that the system is overloaded,an integrated method is proposed to select periods of tasks online by selecting a subset of tasks first and then optimizing the periods for them.Experimental results demonstrate that our method yields near-optimal result with a short running time. | Du Chenglie Tan Longhua Dong Yali | 2015 | Chinese Journal of Aeronautics2015，28，3： | 3 |
| 2 | Optimum Operating and Regeneration Parameters of ZnI2 Catalyst for Converting Methanol to Triptane:An Ideal Component of Unleaded Aviation Gasoline显示文摘Conversion of methanol(MeOH) to 2,2,3-trimethylbutane(triptane) over zinc iodide(ZnI_2)catalyst was investigated in a closed batch reactor.Optimum operating parameters were searched and catalyst deactivation and regeneration behaviors were discussed.The fresh,spent and regenerated catalysts were characterized by XRD,TG and XRF measurements to elucidate the related mechanism.The experimental results showed that the triptane yield reached up to 12.2% under the process conditions,including a reaction temperature of 200℃,an initial pressure of 0.35 MPa,a reaction time of 2 h,and a Me OH to ZnI_2 molar ratio of 2.The catalyst was gradually deactivated after several run cycles.A small amount of iodine was lost and a certain amount of ZnO was formed on the deactivated ZnI_2 catalyst.Deactivation of the catalyst could be attributed to the reduction of ZnI_2 amount,resulted from iodine loss and formation of Zn O.It was firstly pointed out from our work that the deactivated catalyst could be well regenerated by the hydrogen iodide(HI) and the tert-butanol compensation method,wherein the latter was added as an initiator into the reaction system.The activity recovery of the deactivated(spent) catalyst might be related to the reformation of ZnI_2 and acceleration of the initiation step of this reaction. | Chen Weiwei Song Yueqin Zong Rui Du Changfei Zhou Xiaolong Li Chenglie | 2018 | China Petroleum Processing & Petrochemical Technology2018，20，2： | 3 |
| 3 | The relationship between ionospheric total electron content (TEC) over East Asia and the tropospheric circulation around the Qinghai-Tibet Plateau obtained with a partial correlation method显示文摘 | Guirong Xu Weixing Wan Chengli She Liangmin Du | 2008 | Advances in Space Research2008，，1： | 1 |
| 4 | Schedulability Analysis of Non-preemptive Strictly Periodic Tasks in Multi-core Real-time Systems显示文摘 | Chen Jinchao Du Chenglie Xie Fei | 2015 | Real-Time Systems2015，51，1： | 1 |
| 5 | Exact solution for the characteristic impedance of rectangular coaxial cone transmission line显示文摘 | Du Zhengwei Fu J S Ruan Chengli | 1997 | IEEE Transactions on Electromagnetic Compatibility1997，39，3： | 1 |
| 6 | A dynamic incentive and reputation mechanism for energy-efficient federated learning in 6G显示文摘As 5G becomes commercial,researchers have turned attention toward the Sixth-Generation(6G)network with the vision of connecting intelligence in a green energy-efficient manner.Federated learning triggers an upsurge of green intelligent services such as resources orchestration of communication infrastructures while preserving privacy and increasing communication efficiency.However,designing effective incentives in federated learning is challenging due to the dynamic available clients and the correlation between clients'contributions during the learning process.In this paper,we propose a dynamic incentive and reputation mechanism to improve energy efficiency and training performance of federated learning.The proposed incentive based on the Stackelberg game can timely adjust optimal energy consumption with changes in available clients during federated learning.Meanwhile,clients’contributions in reputation management are formulated based on the cooperative game to capture the correlation between tasks,which satisfies availability,fairness,and additivity.The simulation results show that the proposed scheme can significantly motivate high-performance clients to participate in federated learning and improve the accuracy and energy efficiency of the federated learning model. | Ye Zhu Zhiqiang Liu Peng Wang Chenglie Du | 2023 | Digital Communications and Networks2023，9，4： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员