低能量系统在时间限制下的同时通讯和处理器频率选择

This paper presents a method to reduce the energy consumption of multi-core systems characterized by processor cores and buses with discrete frequency levels under timing constraints. The proposed method takes the transformations of the original task graphs, which include dependent tasks located in different iterations, as inputs. The proposed method utilizes mapping selection as well as joint processor and communication frequency scaling to implement energy reduction. We conduct experiments on several random task graphs. Experimental results show that the proposed method can achieve substantial energy reduction compared with previous work under the same hard timing constraints.     

拟态物理学多目标算法求解认知参数优化问题

针对认知无线网络中的引擎参数调整问题,提出了一种基于拟态物理学多目标优化的求解算法.根据认知参数编码的二进制特点,设计了基于海明距离的个体排序方法,并改进了微粒的更新方程,最后求出问题的Pareto最优解集.多载波环境下的仿真实验表明,算法可以根据无线信道环境的动态变化和认知用户需求的不同需求,自适应调整各个子载波的调制方式和发射功率,满足参数优化需求.     

新一代信息技术背景下物联网专业建设的思考

该文对新一代信息技术背景下物联网专业建设的研究内容、需要创新之处、研究思路、研究方法、技术路线和实施步骤均给出了建议.这些研究对新一代信息技术背景下物联网专业建设具体研究方案的设计有着启发和引导作用.