Programming difficulties are one of the common problems faced by software engineering students,which can lead to a rapid decline in motivation and even drop out.Probing students’programming difficulties is a crucial ...Programming difficulties are one of the common problems faced by software engineering students,which can lead to a rapid decline in motivation and even drop out.Probing students’programming difficulties is a crucial step in understanding their current programming situation and implementing appropriate instructional interventions.However,how to detect students’programming difficulties accurately without students’awareness remains a big challenge.Address the issues above;this paper adopts a sensor-free difficulties detecting method based on a deep neural network which employs a recurrent neural network(RNN)model and uses the sequential timing data from programming behaviour.The method can detect students’programming difficulties in real-time with 93%accuracy without interference in the programming process.In the long term,this method is the first step for establishing an automated intelligent programming environment.At the same time,it can assist teachers in noticing the difficulties that students encounter.Then,teachers can adjust their teaching plans and provide manual tutoring intervention more quickly.展开更多
随着工艺制程的不断微缩,动态随机存储器(dynamic random access memory,DRAM)的集成度持续提高,单颗芯片上存储单元的数目呈指数增长,随之带来的是芯片发热严重和泄漏电流增大等问题,为了实时监测内部温度并控制相应的刷新操作,DRAM需...随着工艺制程的不断微缩,动态随机存储器(dynamic random access memory,DRAM)的集成度持续提高,单颗芯片上存储单元的数目呈指数增长,随之带来的是芯片发热严重和泄漏电流增大等问题,为了实时监测内部温度并控制相应的刷新操作,DRAM需要在内部集成温度传感器。文章从DRAM的基本结构、工作原理和实际工作中对内置温度传感器的需求出发,研究不同读出架构的集成式温度传感器的优缺点,考虑到感温精度、感温范围、功耗和成本等因素以及DRAM产品规格说明书中对内置温度传感器的要求,设计出一款基于时域读出架构的免校准低功耗温度传感器。采用19 nm的互补金属氧化物半导体(complementary metal oxide semiconductor,CMOS)工艺进行仿真验证,结果表明,免校准的前提下,该温度传感器在0~110℃的感温范围内具有3℃的仿真精度,版图面积为0.189 mm^(2),平均功耗为340.31μW,感温时间为550μs。文章设计的温度传感器满足DRAM对于内置温度传感器的要求,且大大降低了DRAM的生产成本。展开更多
针对监控区域存在障碍物的情况,从无线视频传感节点的有向感知特性出发,讨论了视频传感器网络覆盖效果与监控区域之间的相互关系.在此基础上,定义了视频传感器网络的无盲区覆盖模型.基于虚拟势场的工作原理,提出了一种适用于无盲区覆盖...针对监控区域存在障碍物的情况,从无线视频传感节点的有向感知特性出发,讨论了视频传感器网络覆盖效果与监控区域之间的相互关系.在此基础上,定义了视频传感器网络的无盲区覆盖模型.基于虚拟势场的工作原理,提出了一种适用于无盲区覆盖模型的覆盖率动态优化算法PFOFSA(potential field based occlusion-free surveillance algorithm).设计了PFOFSA中虚拟力的相互作用方法与监控节点运动规则,通过监控区域、重叠区域和遮挡区域之间的相互作用,逐步消除网络中的感知重叠区和盲区,优化视频无线传感器网络的覆盖率.最后,通过一系列的仿真实验分析了不同监控区域参数对PFOFSA算法的影响,验证了算法的有效性.展开更多
基金supported by the 2018-2020 Higher Education Talent Training Quality and Teaching Reform Project of Sichuan Province(Grant No.JG2018-46)the Science and Technology Planning Program of Sichuan University and Luzhou(Grant No.2017CDLZG30)the Postdoctoral Science fund of Sichuan University(Grant No.2019SCU12058).
文摘Programming difficulties are one of the common problems faced by software engineering students,which can lead to a rapid decline in motivation and even drop out.Probing students’programming difficulties is a crucial step in understanding their current programming situation and implementing appropriate instructional interventions.However,how to detect students’programming difficulties accurately without students’awareness remains a big challenge.Address the issues above;this paper adopts a sensor-free difficulties detecting method based on a deep neural network which employs a recurrent neural network(RNN)model and uses the sequential timing data from programming behaviour.The method can detect students’programming difficulties in real-time with 93%accuracy without interference in the programming process.In the long term,this method is the first step for establishing an automated intelligent programming environment.At the same time,it can assist teachers in noticing the difficulties that students encounter.Then,teachers can adjust their teaching plans and provide manual tutoring intervention more quickly.
文摘随着工艺制程的不断微缩,动态随机存储器(dynamic random access memory,DRAM)的集成度持续提高,单颗芯片上存储单元的数目呈指数增长,随之带来的是芯片发热严重和泄漏电流增大等问题,为了实时监测内部温度并控制相应的刷新操作,DRAM需要在内部集成温度传感器。文章从DRAM的基本结构、工作原理和实际工作中对内置温度传感器的需求出发,研究不同读出架构的集成式温度传感器的优缺点,考虑到感温精度、感温范围、功耗和成本等因素以及DRAM产品规格说明书中对内置温度传感器的要求,设计出一款基于时域读出架构的免校准低功耗温度传感器。采用19 nm的互补金属氧化物半导体(complementary metal oxide semiconductor,CMOS)工艺进行仿真验证,结果表明,免校准的前提下,该温度传感器在0~110℃的感温范围内具有3℃的仿真精度,版图面积为0.189 mm^(2),平均功耗为340.31μW,感温时间为550μs。文章设计的温度传感器满足DRAM对于内置温度传感器的要求,且大大降低了DRAM的生产成本。
文摘针对监控区域存在障碍物的情况,从无线视频传感节点的有向感知特性出发,讨论了视频传感器网络覆盖效果与监控区域之间的相互关系.在此基础上,定义了视频传感器网络的无盲区覆盖模型.基于虚拟势场的工作原理,提出了一种适用于无盲区覆盖模型的覆盖率动态优化算法PFOFSA(potential field based occlusion-free surveillance algorithm).设计了PFOFSA中虚拟力的相互作用方法与监控节点运动规则,通过监控区域、重叠区域和遮挡区域之间的相互作用,逐步消除网络中的感知重叠区和盲区,优化视频无线传感器网络的覆盖率.最后,通过一系列的仿真实验分析了不同监控区域参数对PFOFSA算法的影响,验证了算法的有效性.
