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| 1 | The Principle and Progress of Dynamically Reconfigurable Computing Technologies显示文摘With the emergence of new applications and the increasing cost of new semiconductor manufacturing technology,high energy-efficiency and flexibility are both critical for processors.Dynamically reconfigurable computing architecture,which has the both characteristics,is one of the most promising architectures for future processors.It has shown notable advantages in many important application fields,compared to conventional architectures.However,the fundamental reasons for the characteristics have never been deeply discussed in previous papers.This paper analyzes the reasons from the perspective of design methodology.The technologies of dynamically reconfigurable computing are continually evolving,and some cheering results of application have been achieved.This paper summarizes the latest progress in key technologies and provides an introduction of the application achievements. | WEI Shaojun LU Yan’an | 2020 | Chinese Journal of Electronics2020，29，4： | 1 |
| 2 | General Diagnostic Framework Based on Non-axiomatic Logic for Aviation Safety Event Analysis显示文摘To achieve causality reasoning of aviation safety events based on big data of cross-media network,a data-driven general diagnostic framework based on nonaxiomatic logic is designed and implemented.On the basis of this framework,the uncertain causality between aviation safety events and faults is expressed in the form of binary non-axiomatic incident experience at first.A general expression for calculating the attribution and confidence degrees in the non-axiomatic incident experience is given based on records of aviation safety historical incident.A concept of non-axiomatic incident experience graph is proposed,a diagnosis algorithm for aviation safety events is given with the combination of revision and deduction rules in non-axiomatic logic.Experimental results of a Version 1.0 beta demo show that this framework can effectively diagnose all potential faults according to aviation safety events;compared with other machine learning frameworks,it has higher reliability(especially scalability)under the premise of ensuring diagnosis accuracy. | JIANG Yang WANG Hong FENG Xingjie | 2019 | Chinese Journal of Electronics2019，28，6： | 0 |
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