一种改进的SPECK图像编码算法

针对原始SPECK图像编码算法的不足之处 ,提出了一种改进的SPECK图像编码算法 .改进后的算法不仅继承了原有SPECK算法的各种优点 ,而且通过完善集合分配策略、合理分配比特等处理 ,进一步降低了原始SPECK算法的复杂程度 ,提高了算法的工作效率 .实验结果表明 ,改进的算法是一种高效的图像编码算法 ,在相同压缩比情况下 ,其图像重构质量明显优于原始算法 .     

Electrical Properties and Electroluminescence of 4H-SiC p-n Junction Diodes

Homoepitaxial growth of 4H-SiC on off-oriented Si-face(0001 ) substrates was performed by using the step-controlled epitaxy technique in a newly developed low-pressure hot-wall CVD (LP-HWCVD) system with a horizontal aircooled quartz tube at around 1500 ℃and 1.33 × 104 Pa by employing SiH4 C2H4 H2. In-situ doping during growth was carried out by adding NH3 gas into the precursor gases. It was shown that the maximum Hall mobility of the undoped 4H-SiC epilayers at room temperature is about 430 cm2 ·V -1 ·s -1 with a carrier concentration of ～ 1016 cm-3 and the highest carrier concentration of the N-doped 4H-SiC epilayer obtained at NH3 flow rate of 3 sccm is about 2.7 × 1021 cm-3 with a mobility of 0.75 cm2 ·V -1 ·S -1. SiC p-n junctions were obtained by epitaxially growing N-doped 4H-SiC epilayers on Aldoped 4H-SiC substrates. The C-V characteristics of the diodes were linear in the 1/C3-V coordinates indicating that the obtained p-n junctions were graded with a built-in voltage of 2.7 eV. The room temperature electroluminescence spectra of 4H-SiC p-n junctions are studied as a function of forward current. The D-A pair recombination due to nitrogen donors and the unintentional, deep boron center is dominant at low forward bias, while the D-A pair recombination due to nitrogen donors and aluminum acceptors are dominant at higher forward biases. The p-n junctions could operate at temperature of up to 400 ℃, which provides a potential for high-temperature applications.     

包钢连铸结晶器液位控制系统中控制器的设计应用

本文采用FUZZY－PID复合式自适应控制器来满足冶金连铸系统中对结晶器液位控制的要求，由于在长时间的连续铸钢过程中，塞棒头部受钢水的冲刷和腐蚀，使得塞棒头部为形较大，导致塞棒位置与钢水流量的特性关系发生较大变化，而这种变化无法用确定的数学关系式来描述，用常规PID控制器不能对此变化进行有效调节。本文采用模糊控制器对此变化作出反映，通过模糊控制运算结果来调节PID控制器的放大系数Kp始终在理想的范围内，从而使控制系统达到对结晶器液位控制的要求。     

交通事故后的交通运行风险状态等级预测方法

以事故数据为基础研究事后风险状态,建立了基于改进深度森林算法的交通运行风险状态等级预测模型.首先分析了事故特征重要度,建立了基于极端梯度提升算法的事故特征筛选机制,引入贝叶斯参数寻优和十折交叉验证法实现了深度森林模型的超参数优化;同时设计了循环多粒度扫描方法和加权级联森林结构,获取了交通运行风险状态等级与事故特征的映射...     

A distributed deadlock detection algorithm for mobile computing system

The mode of mobile computing originated from distributed computing and it has the un-idempotent operation property, therefore the deadlock detection algorithm designed for mobile computing systems will face challenges with regard to correctness and high efficiency. This paper attempts a fundamental study of deadlock detection for the AND model of mobile computing systems. First, the existing deadlock detection algorithms for distributed systems are classified into the resource node dependent （ RD ） and the resource node independent （RI） categories, and their corresponding weaknesses are discussed. Afterwards a new RI algorithm based on the AND model of mobile computing system is presented. The novelties of our algorithm are that： 1 ） the blocked nodes inform their predecessors and successors simultaneously; 2） the detection messages （agents） hold the predecessors information of their originator; 3 ） no agent is stored midway. Additionally, the quit-inform scheme is introduced to treat the excessive victim quitting problem raised by the overlapped cycles. By these methods the proposed algorithm can detect a cycle of size n within n - 2 steps and with （ n^2- n - 2 ）/2 agents. The performance of our algorithm is compared with the most competitive RD and RI algorithms for distributed systems on a mobile agent simulation platform. Experiment results point out that our algorithm outperforms the two algorithms under the vast majority of resource configurations and concurrent workloads. The correctness of the proposed algorithm is formally proven by the invariant verification technique.     

迟滞非线性系统的反演滑模控制器设计

为了消除迟滞对系统的不良影响,对一类Bouc-Wen模型表示的迟滞系统设计了反演滑模控制器。由于迟滞的非平滑、多映射等特性会引起系统振荡甚至造成系统不稳定,首先采用Bouc-Wen模型描述迟滞,分析了Bouc-Wen模型的特性并得到其上界值;然后引入滑模项以克服干扰,设计了反演滑模控制器,采用Lyapunov函数的设计过程以保证系统的稳定性;最后进行仿真实验,结果证明该控制方法有效。     

基于序列运算理论的孤立微电网经济运行模型

针对风力和光伏发电出力的随机性,提出一种基于机会约束规划的孤立微电网经济运行模型。鉴于部分机会约束难以转化成确定性约束,根据序列运算理论,利用可再生能源出力的概率分布生成概率性序列,使模型中的机会约束转化成确定性约束的等价类。因此模型具有混合整数规划的线性结构,可兼容如TOMLAB类的优化工具求解。仿真结果表明,与随机模拟求解相比,该方法具有计算速度快且结果稳定的优势。另外,为了考察概率性序列的合理性,还讨论了不同离散化步长对计算结果的影响,并进一步验证了所提出方法的有效性。     

臭氧降解低浓度四溴双酚A及生物毒性控制

为考察臭氧氧化技术对水中低质量浓度四溴双酚A的降解和毒性控制效能,利用臭氧反应装置研究不同pH和臭氧投加量条件下四溴双酚A(质量浓度为0.15 mg/L)的降解效果,考察反应过程中水样的急、慢性毒性和遗传毒性的变化规律及控制效果,分析毒性变化内在原因,并提出可能性降解机理.结果表明,当溶液pH为7.0、臭氧投加量为0.12 mg/L,四溴双酚A可被完全降解.反应初期,水样的急、慢性毒性迅速升高,原因主要是产生了毒性更高的有机中间产物;随着反应的进行,有毒中间产物被深度降解,急、慢性毒性均得到有效控制,且随着臭氧投加量的增加毒性控制得更快、更显著.当臭氧投加量为0.12 mg/L时,急性毒性在反应20 min时即可被完全控制,慢性毒性在反应60 min也被控制至0.76 TU,反应后水样的急、慢性毒性均满足排放标准.反应过程中水样的致突变比均小于2.0,不具有基因水平的遗传毒性.降解机理分析表明,臭氧降解四溴双酚A主要包括脱溴、β位断裂、加成、去羟基化、甲基化等反应过程.     

基于模糊数学的低致敏营养餐包感官评价研究

以低致敏蛋白、微囊化油脂以及复合糖元为主要原料制备开发低致敏营养餐包。从粉体的颗粒特性、冲调特性和主客观感官特性等对餐包开展评价研究,利用模糊数学法对餐包冲调后的色泽、气味及滋味、组织状态进行感官评价;通过餐粉的均匀度、溶解稳定性、湿润性进行基本特性评定。结果表明：餐包粉体粒度分布与餐包冲调特性具有相关性,细粉颗粒（0~30 μm、0~50 μm、0~100 μm）与餐包冲调特性呈负相关性,与粗粉颗粒（200~500 μm）呈正相关性,即随细粉粉体颗粒体积不断增加,湿润时间不断增加,冲调特性逐渐变差;随粗粉粉体颗粒体积不断增加,湿润时间不断减少,则冲调特性不断加强。粉体粒径与餐包感官评分呈正向线性相关性,一定范围内,随粒径不断增大,感官评分不断加强,产品品质质量较好。该评价体系为完善低致敏营养包的加工工艺提供了理论依据。