利用人眼分形码距离进行快速人脸识别

在利用人脸分形码距离进行识别时,需要大量的时间对人脸库中每张人脸图像进行迭代与距离运算.为克服这一缺点,本文提出了用水平方向高频子带来定位眼睛并将其从人脸中抽取出来,进一步提出了基于人眼分形码距离的人脸快速识别算法.利用该算法,可去掉大部分人眼分形码距离较大的图像,从识别时间复杂性分析,本文算法所需时间主要与人眼大小以及用于最后识别的图像数目有关.在ORL和YALE两个人脸库上的实验结果表明,与本征脸方法和直接利用人脸分形码距离方法比较,在用于最后识别的图像数目占人脸库中人脸总数的20%左右时,本文算法可使平均识别率保持在约90%,与其它方法基本持平.     

A soft sensor method based on values predicted from multiple intervals of time difference for improvement and estimation of prediction accuracy

Soft sensors are widely used to estimate process variables that are difficult to measure online. However, their predictive accuracy gradually decreases with changes in the state of the plants. We have been constructing soft sensor models based on the time difference of an objective variable, y, and that of explanatory variables (time difference models) for reducing the effects of deterioration with age such as the drift without model reconstruction. In this paper, we have attempted to improve and estimate the prediction accuracy of time difference models, and proposed to handle multiple y-values predicted from multiple intervals of time difference. A weighted average is a final predicted value and the standard deviation is an index of its prediction accuracy. This method was applied to real industrial data and then, could predict more number of data with higher predictive accuracy and estimate the prediction errors more accurately than traditional ones.     

基于DSP的运动人体识别算法实现及其优化

运动人体识别算法由人体目标提取、头部定位、肢体分割和人体建模四部分组成.文中阐述了算法的基本原理,分析了影响算法速度的主要函数和原因.分析发现人体目标提取和肢体分割模块占用了算法时间的96%.傅里叶变换和移动向量计算成为影响肢体分割算法速度的"瓶颈",而中值滤波和形态学滤波则是影响人体目标提取算法速度的"瓶颈"因素.针对TMS320C6000DSP体系结构特点,提出了算法优化策略.通过合理配置编译器优化选项、采用内联函数、分解多层循环、指定存储器相关性,以及合理选用标准库函数的方法对算法进行了优化.实验结果表明,优化后的算法执行速度大大提高.     

基于DEMON谱信息提取算法的目标识别方法研究

宽带噪声解调(Detection of Envelope Modulation on Noise,DEMON)谱中的轴频叶频,对应螺旋桨转速和叶片数等舰船自身相对特征,这些特征可以作为目标识别的依据。综合运用改进的最大公约数算法和余数门限算法提取DEMON谱中的轴频和叶频,解决了传统最大公约数算法提取轴频叶频误差较大的问题。仿真数据与实测数据的实验结果均验证了DEMON谱信息提取算法的有效性。     

Improved finite difference method for equilibrium problems based on differentiation of the partial differential equations and the boundary conditions

A numerical algorithm for producing high-order solutions for equilibrium problems is presented. The approximated solutions are improved by differentiating both the governing partial differential equations and their boundary conditions. The advantages of the proposed method over standard finite difference methods are: the possibility of using arbitrary meshes; the possibility of using simultaneously approximations with different (distinct) orders of accuracy at different locations in the problem domain; an improvement in approximating the boundary conditions; the elimination of the need for ‘fictitious’ or ‘external’ nodal points in treating the boundary conditions. Furthermore, the proposed method is capable of reaching approximate solutions which are more accurate than other finite difference methods, when the same number of nodal points participate in the local scheme. A computer program was written for solving two-dimensional problems in elasticity. The solutions of a few examples clearly illustrate these advantages.     

Determining the operating conditions of floating marine platforms based on the predicted motion control under conditions of wind and wave disturbances

A technique of determining the time when drilling operation must be halted on the basis of the predicted control of the movement of floating marine platforms is proposed. By means of the technique it becomes possible to adopt with a high degree of reliability a correct decision as to whether to continue or to halt drilling when the platform is functioning under conditions of random wind and wave disturbances. __________ Translated from Izmeritel’naya Tekhnika, No. 1, pp. 21–24, January, 2008.     

A sensor for estimating the buildup of static electricity on special clothes under practical conditions

The problems of monitoring the buildup of static charge on clothes under practical conditions are considered. A measuring instruments is proposed which enables the electrostatic field strength to be estimated in the region of the surface of a textile material and which indicates when its maximum permissible value is being approached. Translated from Izmeritel’naya Tekhnika, No. 4, pp. 45–46, April, 2009.     

Fracture assessment of U-notches under mixed mode loading: two procedures based on the ‘equivalent local mode I’ concept

Two fracture criteria are proposed and applied to blunt-notched components made of brittle materials loaded under mixed mode; the former is based on the averaged strain energy density over a given control volume, the latter on the cohesive crack zone model. In both instances use of the equivalent local mode I hypothesis is made. Only two material properties are needed: the ultimate tensile strength and the fracture toughness. Numerical predictions of rupture loads from the two criteria are compared with experimental measurements from more than 160 static tests with notched beams. The samples are made of PMMA and tested at − 60°C to assure a bulk behaviour almost linear elastic up to rupture. Notch root radii range from 0.2 to 4.0 mm and load mixicity varies from pure mode I to a prevailing mode II. The good agreement between theory and experimental results adds further confidence to the proposed fracture criteria.     

分散液液微萃取浮动溶剂固化——原子吸收光谱法测定环境水体样品中的重金属

采用了十一醇为萃取剂,吡咯烷二硫代甲酸铵(APDC)为络合剂的分散液液微萃取浮动溶剂固化-石墨炉原子吸收光谱法(DLLME-SFO-GFAAS)测定水体样品中痕量金属离子的分析方法,对实验条件进行了优化,改进了传统萃取方法中试剂用量大、手续繁琐、易交叉感染等不足。同时对方法测量检出限及回收率进行试验,结果表明在优化的实验条件下铜、镉、铅的检出限分别0.03μg/L、0.03μg/L和0.01μg/L,加标回收率在95.3%--102.4%,方法准确、可靠。     

Modelling of a thermal insulation system based on the coldest temperature conditions by using artificial neural networks to determine performance of building for wall types in Turkey

In formation of building external envelope, as two important criteria, climatic data and wall types must be taken into consideration. In the selection of wall type, the thickness of thermal insulation layer (d_i) must be calculated. As a new approach, this study proposes determining the thermal insulation layer by using artificial neural network (ANN) technique. In this technique five different wall types in four different climatic regions in Turkey have been selected. The ANN was trained and tested by using MATLAB toolbox on a personal computer. As ANN input parameters, U_w, T_e,Met, T_e,TSE, R_wt, and q_TSE were used, while d_i was the output parameter. It was found that the maximum mean absolute percentage error (MRE, %) is less than 7.658%. R² (%) for the training data were found ranging about from 99.68 to 99.98 and R² for the testing data varied between 97.55 and 99.96. These results show that ANN model can be used as a reliable modeling method of d_i studies.     

Destruction of organic pollutants by cerium(IV) MEO process: a study on the influence of process conditions for EDTA mineralization

The mediated electrochemical oxidation (MEO) process with cerium(IV) and nitric acid as the oxidizing medium was employed for the destruction of various model organic pollutants in continuous organic feeding mode. A near complete destruction was observed for all the organics studied. The effects of various experimental conditions were evaluated with respect to EDTA mineralization. The key parameters varied in the process were concentration of EDTA (67–268 mM), temperature (70, 80 and 95 °C), concentrations of Ce(IV) (0.7, 0.8 and 0.95 M), nitric acid (2, 3 and 4 M) and duration of organic addition (30 and 120 min). Under the experimental conditions of 80 °C and 0.95 M Ce(IV) in 3 M nitric acid, nearly 90% destruction was achieved based on CO₂ production and 95% based on TOC analyses for all the organic compounds studied. The in situ regeneration of mediator ion by the electrochemical cell was found to be good during the organic destruction within the range of experimental conditions studied. In the case of long term organic feeding (120 min) the destruction was calculated after the CO₂ evolution attained the steady state and under this condition the destruction efficiency was found to be 85% based on CO₂ evolution.     

High shear wet granulation: Improved understanding of the effects of process variables on granule and tablet properties of a high-dose,high-hydrophobicity API based on quality by design and multivariate analysis approaches

High shear wet granulation (HSWG), as a widely used granulation technology, has been studied extensively. However, for the HSWG of formulations containing hydrophobic components, the influence of process variables on the properties of granules and tablets has not been reported. In the present study, based on a combination of quality by design and multivariate analysis (MVA) approaches, quercetin with high-dose and high-hydrophobicity was used to study the relationship between process variables, granule properties, and tablet properties in HSWG systematically. Control and response variables were determined using risk assessment. The optimal fitting empirical models established by Box-Behnken design showed that the liquid to solid ratio and impeller speed were the most important factors, which affected all product properties except Carr’s index and yield pressure. Instead, the influence of wet massing time was relatively small (only the effects on yield, granule size, granule hardness, and compression ratio were significant). Then, the process design space was obtained by limiting the related critical quality attributes, which was verified effectively. Scanning electron microscope images showed that smooth granules were produced using higher process parameters, whereas rough and porous granules resulted at lower process parameters. Furthermore, the MVA results demonstrated that increasing the granule hardness led to an increase in the compression ratio and a decrease in tensile strength of the tablets. Tablet fragility and disintegration time were mainly affected by granule density and bulk density, respectively, and both were negatively correlated. The established research paradigm is not only conducive to the successful development of quercetin products, but also provides valuable guidance for improving HSWG–based product development with such formulation characteristics.