指标均衡性对评价结果的影响

本文针对一类需要考虑指标间均衡性的决策问题,利用Gini系数,提出了一种新的多目标决策方法。     

面向复杂系统运动仿真的信息物理融合建模

传统运动仿真的虚拟建模缺少针对复杂系统中信息子系统与物理子系统的动态性融合建模。融合传统运动学虚拟建模与信息计算的优势,针对运动仿真的精度和实时性难以满足实际工业制造需求的问题,提出面向复杂系统运动仿真的信息物理融合建模方法,并以机械臂的运动学控制为仿真案例进行验证,解决了实际环境中机械臂的驱动与仿真环境虚拟机械臂运动不一致的问题。搭建了复杂系统运动仿真虚实映射平台,集成了虚拟建模环境CoppeliaSim,融合实际机器人的运动反馈,和虚实映射计算模型,确定工业机器人运动方程的唯一位姿解。实验结果表明本文提出的方法实现了工业机器人的虚实映射实时运动仿真。     

可视动目标逐步求精分割技术研究

运动目标识别跟踪系统中 ,目标分割是至关重要的处理环节。由于目标阴影、碎块等因素 ,估计精度受到影响 ,甚至导致跟踪的失败。提出了目标形状波动度的概念 ,并将其作为目标识别特征 ,利用最大似然估计准则 ,对目标初始区进行逐步求精估计。该算法简练实用 ,能有效地提高估计精度 ,为确保目标可靠性跟踪提供了新的手段。     

CADCSC软件系统人机界面设计

本文论述了CADCSC软件系统的界面设计。提出了适合各种用户的、由多种交互方式组成的混合人机交互界面;为控制系统的计算机辅助设计提供了统一的命令表达方式和统一的运行界面;介绍了其中界面设计一致性与灵活性。     

XB-SIM*: A Simulation Framework for Modeling and Exploration of ReRAM-Based CNN Acceleration Design

Resistive Random Access Memory(ReRAM)-based neural network accelerators have potential to surpass their digital counterparts in computational efficiency and performance. However, design of these accelerators faces a number of challenges including imperfections of the Re RAM device and a large amount of calculations required to accurately simulate the former. We present XB-SIM, a simulation framework for Re RAM-crossbar-based Convolutional Neural Network(CNN) accelerators. XB-SIM can be flexibly configured to simulate the accelerator's structure and clock-driven behaviors at the architecture level. This framework also includes an Re RAM-aware Neural Network(NN) training algorithm and a CNN-oriented mapper to train an NN and map it onto the simulated design efficiently. Behavior of the simulator has been verified by the corresponding circuit simulation of a real chip. Furthermore, a batch processing mode of the massive calculations that are required to mimic the behavior of Re RAM-crossbar circuits is proposed to fully apply the computational concurrency of the mapping strategy. On CPU/GPGPU, this batch processing mode can improve the simulation speed by up to 5.02 or 34.29. Within this framework, comprehensive architectural exploration and end-to-end evaluation have been achieved, which provide some insights for systemic optimization.     

一类次线性椭圆方程组的正解

一类带有边值的次线性椭圆方程组,证得这样的次线性椭圆方程组存在正解.     

聚硅烷与聚乙炔比较性理论研究

用密度泛函理论(DFT),在B31YP/6-31G(d)水平下对主链含有30个原子的聚乙炔和聚硅烷在未掺杂和电荷掺杂及掺杂后在电场作用下进行几何全优化,再对它们的几何结构和自旋密度进行比较研究.结果表明,在聚乙炔中,电荷掺杂后在链中间区域形成了极子,加电场后,极子偏离中间位置向链的一端移动,电场越大,极子偏移也越大:在聚硅烷中,电荷掺杂后形成的极子几乎遍及整个分子链,加电场后极子移到了链端.表明在同样的电场下极子在聚硅烷中的移动程度比在聚乙炔中大.     

导数是外可逆时方程G(x)=0的解的分布状况

利用强F-可微及叠代序列研究了不满足隐函数定理的正常条件时,方程G(x)=0的解的分布状况.这里G:X→Y是强F-可微的,X与Y均为Banach空间.     

低温微生物的研究进展概述

综述了低温微生物的生态分布、适冷机制的研究进展及其在工业、生物修复等多个领域中的应用及前景.     

Most Likely Optimal Subsampled Markov Chain Monte Carlo

Journal of Systems Science and Complexity - Markov Chain Monte Carlo (MCMC) requires to evaluate the full data likelihood at different parameter values iteratively and is often computationally...