A novel clock generation algorithm for system-on-chip based on least common multiple

Due to increase in the number of Intellectual Property (IP) cores, clock generation in current day System-on-Chips (SoCs) is facing a crisis. The conventional method of using a dedicated Phase Locked Loop (PLL) to generate the clock for each IP core is becoming inefficient in terms of power and cost. We propose an algorithm based on Least Common Multiple (LCM) to minimize the number of PLLs required to generate the clocks for the IP cores in a SoC. This is done by finding an Optimum Operating Frequency (OOF) for each IP core within 10% below the maximum operating frequency of the core. The OOF is chosen such that the LCM of the OOF of all the IP cores is minimized. Simulated annealing is used to find the LCM. This LCM is the crucial high frequency from which maximum number of clocks can be derived by clock dividers.     

Target detection based on a dynamic subspace

For hyperspectral target detection, it is usually the case that only part of the targets pixels can be used as target signatures, so can we use them to construct the most proper background subspace for detecting all the probable targets? In this paper, a dynamic subspace detection (DSD) method which establishes a multiple detection framework is proposed. In each detection procedure, blocks of pixels are calculated by the random selection and the succeeding detection performance distribution analysis. Manifold analysis is further used to eliminate the probable anomalous pixels and purify the subspace datasets, and the remaining pixels construct the subspace for each detection procedure. The final detection results are then enhanced by the fusion of target occurrence frequencies in all the detection procedures. Experiments with both synthetic and real hyperspectral images (HSI) evaluate the validation of our proposed DSD method by using several different state-of-the-art methods as the basic detectors. With several other single detectors and multiple detection methods as comparable methods, improved receiver operating characteristic curves and better separability between targets and backgrounds by the DSD methods are illustrated. The DSD methods also perform well with the covariance-based detectors, showing their efficiency in selecting covariance information for detection.     

A perceptual evaluation of grating frequencies and velocities in the analysis of dynamic images

Dynamic images that possess beauty and are user-friendly can increase the use of digital technology. In addition to information conveyance, dynamic images also act as a communication bridge in the human–machine interface. Dynamic images are widely used in the application of digital media. Therefore, understanding the visual effects of dynamic images on viewers is a very important issue. From a visual communication design perspective, dynamic images influence not only image quality, but also the viewers’ perception and impression of the displayed image. In the contemporary age characterized by universal usage of dynamic images, designers should attain synchronized knowledge and understanding of relevant media technology so as to present preferred design quality in the management of digital design such as animation design, Web page design, multimedia design, and so on. The current study noted that psychological effects such as viewers’ visual attention, preferences, and understanding were more important than image quality. Therefore, this study adopted the viewpoint of “visual design” and conducted a perceptual evaluation of grating frequency and grating velocity. The pair-comparison method and scale method were adopted in the research methodology to simplify perceptual evaluations and enhance their validity. The purpose of this study was: (1) To propose recommendations for displaying dynamic images and improving image performance using perceptual evaluation methods. (2) To examine the influence of psychological factors on viewer’s comfort when they experience dynamic images. (3) To identify the best grating feature combinations that meet viewer’s psychological characteristics and propose recommendations for dynamic images design. The study concludes that it is useful to establish criteria for evaluating users’ perception and to, develop perceptual evaluations of dynamic images. It is recommended that designers find a balance between watching a moving imaging display “clearly” and watching it “comfortably” for successful reception by the viewer.     

Electrochemical behaviour of copper/LDPE composites in the simulated uterine solution

Two metal/insulator composites, copper/low-density polyethylene (LDPE) microcomposites and copper/LDPE nanocomposites, were prepared in a uniform metal mass fraction. The corrosion characteristics of the two composites in the simulated uterine solution have been studied by cyclic voltammetry, potentiodynamic polarization measurement and electrochemical impedance spectroscopy. Results obtained during this study show that there are obvious differences on the corrosive rates and mechanisms between the two materials. The nanocomposites have stable corrosive reaction, hardly passivation, low corrosion rate and high transformation ratio of copper to soluble cupric ions compared with microcomposites, which indicate that the nanocomposites are perfect to be the novel material for intrauterine device. The corrosion behaviour of the microcomposites was controlled by both the processes of the pervasion of Cu²⁺ and the transfer of the charge, while that of the nanocomposites was only controlled by the transfer of the charge. This paper also compared the corrosion behaviours of the composites and bulk copper in the simulated uterine solution, there were more insoluble subproducts in the corrosion process of bulk copper than the composites. Further, the electrochemical method in this study is proved to be useful to characterize the corrosion behaviour of high electrical resistivity materials.     

A Truncated Sum of Processing‐Times–Based Learning Model for a Two‐Machine Flowshop Scheduling Problem

Scheduling with learning effects has gained increasing attention in recent years. A well‐known learning model is called “sum‐of‐processing‐times‐based learning” in which the actual processing time of a job is a nonincreasing function of the jobs already processed. However, the actual processing time of a given job drops to zero precipitously when the normal job processing times are large. Moreover, the concept of learning process is relatively unexplored in a flowshop environment. Motivated by these observations, this article addresses a two‐machine flowshop problem with a truncated learning effect. The objective is to find an optimal schedule to minimize the total completion time. First, a branch‐and‐bound algorithm incorporating with a dominance property and four lower bounds is developed to derive the optimal solution. Then three simulated annealing algorithms are also proposed for near‐optimal solution. The experimental results indicated that the branch‐and‐bound algorithm can solve instances up to 18 jobs, and the proposed simulated annealing algorithm performs well in item of CPU time and error percentage. © 2011 Wiley Periodicals, Inc.     

Dehydrogenation of Cyclohexene on Platinum Nanoclusters on a Thin Film of Al2O3/NiAl(100)

Using a scanning-tunneling microscope, reflection high-energy electron diffraction and photoelectron spectra with synchrotron radiation, we investigated the temperature dependence of the dehydrogenation of cyclohexene (C₆H₁₀) adsorbed on Pt nanoclusters supported on an ultra-thin film of Al₂O₃/NiAl(100). The Pt clusters, grown by vapor deposition, are structurally ordered and exhibit a mean diameter 2.2 nm and height 0.4 nm. The progress of dehydrogenation was monitored through the temporal variation of C 1s photoelectron spectra; analysis of these features revealed that the dehydrogenation of cyclohexene with increasing sample temperature occurs as a sequential process beginning around 150 K, a temperature significantly less than that for Pt single-crystal surfaces. The dehydrogenation behavior, particularly the decomposition into elemental carbon, is found to vary with Pt coverage.     

老、中、青肾移植患者口服普乐可复后总胆红素、尿酸、服药天数的三维图像分析

研究分析老、中、青年肾移植患者服用普乐可复天数、总胆红素、尿酸的三维图像,使临床指标形象化显现,为预测疾病提供信息。将60岁以上老年患者、40~59岁中年患者与小于40岁青年患者分三组,采用MATLAB7.0做三维图像,分析图像特征并且对老年、中年、青年组图像进行比较。三维图像显示出各项指标间存在内在关系与个体差异。体内指标与服药天数相关,体内指标对临床预防疾病具有重要意义。     

基于STM32F103的随钻测量系统

本文在仔细分析了随钻测量系统的工作原理之后,给出了随钻姿态测量的具体方法. 并使用STM32F103RET7和LSM303完成核心电路的设计. 完成数据采集和处理的工作. 最后给出上位机Labview程序实现数据的实时显示. 实验表明本文设计的嵌入式随钻测量系具有集成度高,精度高等特点.     

Edge Contour Extraction in MR Image Using Edgeflow Contour Model

This paper presents a new model for edge extraction of MR images, based on curve evolution and edgeflow techniques. At first the model for curve evolution is constructed, which automatically detect boundaries, and change of topology in terms of the edgeflow fields, and then the numerical approximation of the model is introduced, which is based on semi-implicit scheme to speed up the proposed approach. Finally, the numerical implementation is present and the experimental results show that the proposed model successfully extracts the edge contours, regardless of the heavy noise.     

基于Tiff图像数字化档案的研究

Tiff文件格式是一个丰富的图像格式,可以支持多种图像,现在已经成为存储档案数字化图像的标准格式.现有的应用程序都可以很好的支持Tiff图像格式.本文从Tiff的结构、特性、分类等几个方面,对Tiff文件进行了详细的分析.在支持传真的Class-F分类基础上,通过配置Tiff标签和在图像数据区域附加图像描述信息,对基于Tiff图像的数字化档案进行研究,并把此研究应用于焊接培训中,并取得了预期的效果.