生物模板法合成锂离子电池电极材料研究进展

锂离子电池是一类极具潜力的新型二次化学储能器件,被广泛应用于便携式电子设备、电动交通工具和智能电网等领域。高性能电极材料的设计和合成是获得高能量密度、长循环寿命、高安全性锂离子电池的关键。文章针对锂离子电池电极材料存在制备工艺复杂、结构难以控制、活性物质利用率低、循环稳定性和倍率性能差等问题,从生物资源高效利用角度出发,结合生物材料尺寸均匀、形态多变、结构精密、环境友好等优点,综述了生物模板法合成锂离子电池电极材料的研究进展,并对该领域的发展方向进行了展望。     

基于Mega169的空调控制器的设计

采用单片机技术,设计了一种车用空调控制器.控制器可对空调的各个部件进行控制,实现制冷制热、调整风量及控制风口的变换等操作.系统采用液晶显示屏显示,由程序控制实现各个环节的功能,方便了汽车驾驶员的操作.该设计具有很高的实用价值,可适用于现有的大多数汽车以及工程车.     

氡及其子体运移仿真系统开发

基于.net开发平台,借助C讨论了仿真系统的软件实现过程,简述了系统的功能模块及关键技术实现.实现了氡及其子体运移机制研究的计算机化.     

Predication based immune network for multimodal function optimization

For the problem of indeterminate direction of local search, lacking of efficient regulation mechanism between local search and global search and regenerating new antibodies randomly in the original optimization version of artificial immune network (opt-aiNet), this paper puts forward a novel predication based immune network (PiNet) to solve multimodal function optimization more efficiently, accurately and reliably. The algorithm mimics natural phenomenon in immune system such as clonal selection, affinity maturation, immune network, immune memory and immune predication. The proposed algorithm includes two main features with opt-aiNet. The information of antibodies in continuous generations is utilized to point out the direction of local search and to adjust the balance between local and global search. PiNet also employs memory cells to generate new antibodies with high affinities. Theory analysis and experiments on 10 widely used benchmark problems show that when compared with opt-aiNet method, PiNet algorithm is capable of improving search performance significantly in successful rate, convergence speed, search ability, solution quality and algorithm stability.     

针对发音质量评测的声学模型优化算法

在发音质量评测研究中,传统仅用发音标准的数据进行声学建模,难以描述实际测试面临的非标准发音,使得训练与测试的失配在所难免。针对上述问题,该文提出一种利用覆盖各种发音的数据,根据最小化机器分与人工分均方误差准则进行声学模型优化的算法。实验在普通话水平考试现场3 685份数据(其中498份测试,3 187份训练)上进行。实验表明采用优化算法得到的针对发音质量的评测声学模型相比传统建模方式得到的声学模型有显著的优势。     

基于遗传算法的多处理器系统任务调度

用一种遗传算法的调度策略,以大维度矩阵求逆为实验对象,探索在多核中如何完成任务的均衡分配问题,以达到加速效果.算法利用系统资源的弹性,自动搜寻可以并行的子任务并将其合理地分配到相应计算节点中,提高了多核系统资源调度性能,实现了对用户提交的任务的优化调度,达到了均衡系统各处理器计算负载和提高多核系统的总体性能的目标.     

Pb_n微团簇(n=20～30)及铅晶体表面过程的计算机模拟

基于Murrell等提出的有效正体加三体展开势能函数对铅微团簇Pbn (n =2～ 3 0 )的结构及面心立方晶体铅的表面行为进行了计算机模拟。发现Pbn 微团簇的结构衍生规律为 :依次增加一个三配位的表面原子 ,分子表面为三元环所覆盖 ,整个分子为畸变的四面体的密堆积 ;f (c)铅晶体的表面层原子间内压缩最为严重 (最大达 8% ) ,从第三层开始层间距的伸缩率已经很小 ( <1 % )。     

计算机视觉系统框架的新构思

计算机视觉是人类视觉的模拟。计算机视觉四十多年的发展既取得了成绩也存在不足。在计算机视觉发展过程中,相继提出了三个主要的理论框架：计算视觉理论,基于知识的视觉理论和主动视觉理论。该文对这三个理论框架及其存在的问题进行了讨论,并提出了一个完善和通用的计算机视觉的系统框架。     

Reconfigurable computing: design methodology and hardware tasks scheduling for real-time image processing

Technology evolution makes possible the integration of heterogeneous components as programmable elements (processors), hardware dedicated blocks, hierarchical memories and buses. Furthermore, an optimized reconfigurable logic core embedded within a System-on-Chip will associate the performances of dedicated architecture and the flexibility of programmable ones. In order to increase performances, some of the applications are carried out in hardware, using dynamically reconfigurable logic, rather than software, using programmable elements. This approach offers a suitable hardware support to design malleable systems able to adapt themselves to a specific application. This article makes a synthesis of the Ardoise project. The first objective of Ardoise project was to design and to produce a dynamically reconfigurable platform based on commercial FPGAs. The concept of dynamically reconfigurable architecture depends partially on new design methodologies elaboration as well as on the programming environment. The platform architecture was designed to be suitable for real-time image processing. The article outlines mainly the Ardoise tools aspect: development environment and real-time management of the hardware tasks. The proposed methodology is based on a dynamic management of tasks according to an application scenario written using C++ language.