双程脉冲激光放大器动态输出特性研究

基于双程放大的基本原理,构建了一个双程脉冲激光放大器的实验模型,从脉冲激光双程放大速率方程组出发,建立双程脉冲放大理论模型,研究脉冲在双程放大系统中的传输特性,得到双程脉冲放大系统放大自发辐射能量与泵浦能量之间的关系、放大自发辐射能量与信号光重复频率之间的关系以及增益与输出信号光功率的关系。最后通过计算得到该放大系统模型的品质因数Q。     

渗流条件下山体土质边坡的蠕变分析

运用改进西原蠕变模型,建立了能反映蠕变全过程的非线性粘弹塑性蠕变模型,结合渗流力学理论得出了平面应变情况下的流固耦合方程。通过算例数值计算对降雨条件下土质坡体特征点的水平和垂直位移进行了分析,结果与现场调查相符。计算结果表明,土质边坡在降雨入渗初期位移变化较大,且水平位移比垂直位移大;降雨入渗具有迟滞效应,雨水渗流主要集中在坡体浅层,加强坡面防护很关键。     

中国西南易旱地区识别的探讨

利用中国西南地区13个气象站56年以上的长系列月降雨量资料,统计分析了降雨的多年变化、季节变化特征,以及连续少雨时间段事件,探讨了易旱区识别的定性定量分析方法,初步建立了气象易旱区识别指标及标准,将5个地区识别为易旱地区,5个地区识别为较易旱地区,3个地区识别为不易旱地区,将6个地区识别为易发长时间干旱地区,并对识别方法进行了讨论,为进一步的易旱区综合识别研究提出了建议。     

区域自识别医用观片灯控制系统设计

基于嵌入式控制技术,提出一种具有区域自识别功能的新型医用观片灯系统结构。该系统以超高亮白光LED构成分布均匀的LED阵列,通过嵌入式控制器识别X光片的规格及覆盖区域,并控制该区域的LED灯阵列发光。本系统所采用的分区LED灯光控制技术不仅可以有效节约电能,大幅延长观片灯寿命,而且还能改善医务工作者观察的舒适度。     

驾驶员眼部疲劳视觉检测算法及其ARM+DSP实现

将ARM+DSP技术应用于驾驶员的疲劳检测,使用S3C2440作为核心处理器,利用TMS320DM642作为视频采集处理模块,详细讨论了硬件平台与接口的设计。提出了一种简单有效的基于眼部特征的疲劳驾驶检测算法,结合单目机器视觉实现了驾驶员眼部睁闭状态的有效判定和疲劳驾驶的实时检测。在沪宁高速南京段的实验结果表明,该算法的实时性与精确性可以满足安全行驶的要求。     

基于6416和FPGA的手部三模态识别装置设计与实现

介绍了将手形、掌纹和手掌静脉身份识别理论与FPGA和DSP数字处理系统相结合构成能够方便用于门禁、考勤等的具有高可靠性和高安全性要求的快速身份识别装置。装置采用可见光和近红外双摄像头提高对手形、掌纹和手掌静脉图像的有效获取。利用FPGA实现双摄像头图像数据的同步采集、数据缓存以及对液晶显示屏、补光系统等的控制,以减少DSP的负担,使DSP能够专注于对手形、掌纹和手掌静脉的数据处理识别工作,保证系统运行的实时性。     

Multi-product economic lot scheduling problem with manufacturing and remanufacturing using a basic period policy

In this research we study the multi-product Economic Lot Scheduling Problem (ELSP) with manufacturing and remanufacturing opportunities. Manufacturing and remanufacturing operations are performed on the same production line. Both manufactured and remanufactured products have the same quality thus they fulfil the same demand stream. Tang and Teunter (2006) firstly studied this type of Economic Lot Scheduling Problem with Returns (ELSPR) and presented a complex algorithm for the optimal solution. More recently Teunter, Tang, and Kaparis (2009) proposed several heuristics to deal with the same problem using more computational efficient approaches. However, both studies have limited the attention to the common cycle policy with the assumption that a single (re)manufacturing lot is used for each item in each cycle. Relaxing the constraint of common cycle time and a single (re)manufacturing lot for each item in each cycle, we propose a simple, easy to implement algorithm, based on Segerstedt (1999), to solve the model using a basic period policy. Several numerical examples show the applicability of the algorithm and the cost savings.     

Making-a-stop: A new bufferless routing algorithm for on-chip network

In the deep submicron regime, the power and area consumed by router buffers in network-on-chip (NoC) have become a primary concern. With buffers elimination, bufferless routing is emerging as a promising solution to provide power-and-area efficiency for NoC. In this paper, we present a new bufferless routing algorithm that can be coupled with any topology. The proposed routing algorithm is based on the concept of making-a-stop (MaS), aiming to deadlock and livelock freedom in wormhole-switched NoC. Performance evaluation is carried out by using a flit-level, cycle-accurate network simulator under synthetic traffic scenarios. Simulation results indicate that the proposed routing algorithm yields an improvement over the recent bufferless routing algorithm in average latency, power consumption, and area overhead by up to 10%, 9%, and 80%, respectively.     

Dynamic appearance model for particle filter based visual tracking

This paper made major research on the target representation problem, which plays a significant role in visual tracking, but has received little attention in most researches. In order to fulfill the requirements of tracking robustness and effectiveness in practical conditions, a dynamic appearance model is constructed. Due to particle filter's excellent characteristics, it is employed in this paper not only to estimate target's state, but also to construct the dynamic observation model integrated by multiple cues. In the proposed method, a dynamic multi-cue integration model is constructed for particle filter framework. And a systematic study is done on evaluating cue's weight. Specially, a particle filter based weight tracker is designed to update multi-cue's integrating manner online, so as to adapt the observation model to target's appearance changes. In such a way, a double-particle-filter based tracking framework is formed, and it is field tested on a variety of videos in different tracking conditions. In the experiments and comparisons, the applicable conditions of the proposed dynamic model are discussed, and its robustness and effectiveness are demonstrated.