摘要：这份报纸由被触发事件的冲动的控制为分离时间的动态系统(DDS ) 调查稳定的问题(非位) 。基于一些相对简单的阀值常数，事件条件的三个层次被设置，因此，非位的计划被设计。三个案例为有或没有时间延期和数据退学学生非位分别地被学习，并且指数的稳定性上的标准为控制 DDS 被导出。在指数的稳定性形式的稳定为 DDS 被完成在下面设计与或没有时间延期非位。并且在非位的数据退学学生，的情况中，指数的稳定的条件为 DDS 和最大的许可的退学学生率被导出为非位被估计。最后，有数字模拟的一个例子为说明被得出。

摘要：Hybrid precoding can reduce the number of required radio frequency(RF)chains in millimeter-Wave(mmWave) massive MIMO systems. However, existing hybrid precoding based on singular value decomposition(SVD) requires the complicated bit allocation to match the different signal-to-noise-ratios(SNRs) of different sub-channels. In this paper,we propose a geometric mean decomposition(GMD)-based hybrid precoding to avoid the complicated bit allocation. Specifically,we seek a pair of analog and digital precoders sufficiently close to the unconstrained fully digital GMD precoder. To achieve this, we fix the analog precoder to design the digital precoder, and vice versa. The analog precoder is designed based on the orthogonal matching pursuit(OMP) algorithm, while GMD is used to obtain the digital precoder. Simulations show that the proposed GMD-based hybrid precoding achieves better performance than the conventional SVD-based hybrid precoding with only a slight increase in complexity.

摘要：标准的软件开发周期很大程度上取决于利益相关方的需求。软件开发全程围绕需求设计和管理。考虑到时间和资源的限制,必须分清哪些是必须首先考虑的高优先级需求。已有的需求排序架构缺少对历史数据的记录,而这些历史数据有助于从类似项目中方便地选取最适合的需求排序技术。本文中,我们提出一种名为Re Pizer的软件需求排序架构,该架构与一种选定的需求排序技术联合使用,可以基于给定标准(如开发成本),为软件需求优先级排序。Re Pizer通过从需求库提取历史数据,为软件需求工程师决策提供协助。此外,Re Pizer提供了对整个项目的全景式视角,以确保对资源的审慎使用。基于Re Pizer架构,采用已有的两种需求排序技术:计划博弈(planning game,PG)和层级分析(analytical hierarchy process,AHP),分别比较各自的预期准确度和易用程度。结果表明,采用计划博弈时,Re Pizer性能更佳。

摘要：Network-on-chip(NoC) communication architectures present promising solutions for scalable communication requests in large system-on-chip(SoC) designs. Intellectual property(IP) core assignment and mapping are two key steps in NoC design, significantly affecting the quality of NoC systems. Both are NP-hard problems, so it is necessary to apply intelligent algorithms. In this paper, we propose improved intelligent algorithms for NoC assignment and mapping to overcome the drawbacks of traditional intelligent algorithms. The aim of our proposed algorithms is to minimize power consumption, time, area, and load balance. This work involves multiple conflicting objectives, so we combine multiple objective optimization with intelligent algorithms. In addition, we design a fault-tolerant routing algorithm and take account of reliability using comprehensive performance indices. The proposed algorithms were implemented on embedded system synthesis benchmarks suite(E3S). Experimental results show the improved algorithms achieve good performance in NoC designs, with high reliability.

摘要：A new product conceptual design approach is put forward based on Hopfield neural networks models. By research on the mechanisms of Hopfield neural networks, the associative simulation approaches are proposed. The approach is given by Hebb learn- ing law, Hopfield neural networks and crossover and mutation. The calculating models and the calculating formulas for the concep- tual design are put forward. Finally, an example for the conceptual design of a solar energy lamp is given. The better results are ob- tained in the conceptual design.