As a complex engineering problem,the satellite module layout design (SMLD) is difficult to resolve by using conventional computation-based approaches. The challenges stem from three aspects:computational complexity,en...As a complex engineering problem,the satellite module layout design (SMLD) is difficult to resolve by using conventional computation-based approaches. The challenges stem from three aspects:computational complexity,engineering complexity,and engineering practicability. Engineers often finish successful satellite designs by way of their plenty of experience and wisdom,lessons learnt from the past practices,as well as the assistance of the advanced computational techniques. Enlightened by the ripe patterns,th...展开更多
The establishment of Business English (abbreviated as BE hereafter) as an independent discipline for undergraduate education appeals to the higher professionalism of BE teachers' knowledge structure. This paper in...The establishment of Business English (abbreviated as BE hereafter) as an independent discipline for undergraduate education appeals to the higher professionalism of BE teachers' knowledge structure. This paper introduces the results of a study that, by in-depth semi-structured interviews, investigated the knowledge structure of 18 teachers across three different BE course modules. Data are analyzed based on grounded theory. Eleven knowledge types required of a qualified BE teacher across three different structures (i.e., three BE course modules) are identified. The construction of BE teachers' knowledge structures differs in the three BE course modules. The findings are a meaningful supplement to the theoretical analysis of the “should-be” description of BE teachers’ knowledge structure and can improve the understanding of the constituents of BE teachers' knowledge structures at a micro-level, which should, in turn, provide references for different module teachers' development.展开更多
当前,知识定义网络赋能AI技术发展,算力网络提供AI所需算力资源,二者逐渐趋于融合,形成了知识定义算力网络(Knowledge Defined Computing Networking,KDCN)。KDCN赋能发展了诸多新型网络应用,如元宇宙、AR/VR、东数西算等,这些新型应用...当前,知识定义网络赋能AI技术发展,算力网络提供AI所需算力资源,二者逐渐趋于融合,形成了知识定义算力网络(Knowledge Defined Computing Networking,KDCN)。KDCN赋能发展了诸多新型网络应用,如元宇宙、AR/VR、东数西算等,这些新型应用对算力资源和网络资源有极大的需求,被称为重击流(Heavy Hitter,HH)。HH流的存在严重加剧了KDCN网络的拥塞情况。针对这一挑战,提出了一种智能流量调度机制,旨在通过深度Q神经网络来解决KDCN中的拥塞问题。相较于离线训练过程,通过流量数据检测与采集、在模型训练和拥塞流调决策之间建立实时闭环,来实现深度Q神经网络模型的在线训练。基于该闭环控制,智能流调模型通过不断学习可以实现持续演化,并用于提供实时决策。实验结果表明,该算法在资源利用率、吞吐量、平均丢包率等方面优于现有方法。展开更多
基金National Natural Science Foundation of China (50575031, 50275019)National High-tech Research and Development Program (2006AA04Z109)
文摘As a complex engineering problem,the satellite module layout design (SMLD) is difficult to resolve by using conventional computation-based approaches. The challenges stem from three aspects:computational complexity,engineering complexity,and engineering practicability. Engineers often finish successful satellite designs by way of their plenty of experience and wisdom,lessons learnt from the past practices,as well as the assistance of the advanced computational techniques. Enlightened by the ripe patterns,th...
基金part of the outcome of the province-sponsored project:Study of Business English professional knowledge structure and self-development based on grounded theory [201405013WLH15]
文摘The establishment of Business English (abbreviated as BE hereafter) as an independent discipline for undergraduate education appeals to the higher professionalism of BE teachers' knowledge structure. This paper introduces the results of a study that, by in-depth semi-structured interviews, investigated the knowledge structure of 18 teachers across three different BE course modules. Data are analyzed based on grounded theory. Eleven knowledge types required of a qualified BE teacher across three different structures (i.e., three BE course modules) are identified. The construction of BE teachers' knowledge structures differs in the three BE course modules. The findings are a meaningful supplement to the theoretical analysis of the “should-be” description of BE teachers’ knowledge structure and can improve the understanding of the constituents of BE teachers' knowledge structures at a micro-level, which should, in turn, provide references for different module teachers' development.
文摘当前,知识定义网络赋能AI技术发展,算力网络提供AI所需算力资源,二者逐渐趋于融合,形成了知识定义算力网络(Knowledge Defined Computing Networking,KDCN)。KDCN赋能发展了诸多新型网络应用,如元宇宙、AR/VR、东数西算等,这些新型应用对算力资源和网络资源有极大的需求,被称为重击流(Heavy Hitter,HH)。HH流的存在严重加剧了KDCN网络的拥塞情况。针对这一挑战,提出了一种智能流量调度机制,旨在通过深度Q神经网络来解决KDCN中的拥塞问题。相较于离线训练过程,通过流量数据检测与采集、在模型训练和拥塞流调决策之间建立实时闭环,来实现深度Q神经网络模型的在线训练。基于该闭环控制,智能流调模型通过不断学习可以实现持续演化,并用于提供实时决策。实验结果表明,该算法在资源利用率、吞吐量、平均丢包率等方面优于现有方法。
