重视示意图和结果图分析

阐述了示意图及结果图分析在物理教学中的作用.以热力学与统计物理课程为例,更正了目前教材中的几个常见不足图形.强调要注意图形的无量纲化、标度化、参数取值范围;鼓励学生将一些重要的解析公式或理论结果,通过函数或数值计算而由真实数据来绘图,并能从其他视角解释图中曲线的变化和结论.

MCNP－3B交互绘图功能的开发及改进

本文简要说明了对ＭＣＮＰ－３Ｂ绘图功能所进行的开发及改进的有关内容。介绍了其几何可视化、计算结果图的功能，叙述了用户界面、运行进程跟踪显示、曲面调配拼接等改进内容，说明了ＭＣＮＰ－３８／ＰＣ的结构。

Origin软件在化学实验教学及科学研究中的应用

针对当前多数学生在大学一年级学过计算机基础课后,在与化学有关的实验及毕业论文中不会应用计算机绘制实验结果图的情况,以创建分析新方法中的各种影响因素(如吸收光谱,酸度或pH值试验,试剂用量试验和标准曲线等)的条件优化为例,针对性地介绍利用Origin软件绘制实验结果图的具体方法,以便加强与化学化工相关专业大学生的计算机在化学实验、科学研究及毕业设计与论文中的应用能力。

Excel在创新分光光度分析新方法中的应用

针对当前多数学生在大学一年级学过计算机基础课后,在与化学有关的实验及毕业设计(论文)中不会应用计算机绘制实验结果图的情况,笔者以创建分光光度分析新方法中的各种影响因素(如吸收光谱,酸度或pH试验,试剂用量试验和标准曲线等)的条件优化为例,针对性地介绍利用Excel电子表格绘制实验结果图的具体方法,以便加强与化学化工相关专业大学生的计算机在化学实验、科学研究及毕业设计(论文)中的应用能力。

Matlab在化学实验教学及科学研究中的应用

针对当前多数学生在大学一年级学过计算机基础课后,在化学有关的实验及毕业论文中不会应用计算机绘制实验结果图的情况,以创建分析新方法中的各种影响因素(如吸收光谱,酸度或pH值试验,试剂用量试验和标准曲线等)的条件优化为例,针对性地介绍利用M atlab软件绘制实验结果图的具体方法,以便加强与化学化工相关专业大学生的计算机在化学实验、科学研究及毕业设计与论文中的应用能力。

货存调节与控制系统动力学模型分析

生活中有很多订货现象,比如超市,一般的大型超市每天销售量上达几百万,就涉及到了存货现象,如果出现长期库存短缺现象,就会影响该超市的营业额以及它的竞争力度,导致老客户以及潜在客户的流失,因此发现库存调节时间和延迟时间如何影响库存量和在途库存量是重要的,才能进行合理库存控制,本文引进系统因子,分别为初始在途库存量、延迟时间、初始库存量、订货速率、在途库存量等,应用软件VensimPLE运行出仿真结果图,得出一些结论。

NEW CORNER DETECTION ALGORITHM BASED ON MULTI-FEATURE SYNTHESIS

Corner detection is a chief step in computer vision. A new corner detection algorithm in planar curves is proposed. Firstly, from the human perception, two key characteristics are given as an amendment of the traditional corner properties. Based on the two properties, the concept of the fuzzy set is introduced into a detection. Secondly, the extracted-formulae of three groups including the features of the corner subject degree are derived. Through synthesizing the features of three groups, the judgments of the corner detection, location, and optimization are obtained. Finally, by using the algorithm the detection results of several examples and feature curves for some interested parts, as well as the detection results for the test images history in references are given. Results show that the algorithm is easily realized after adopting the fuzzy set, and the detection effect is very ideal.

Image Distortion Metric Based on Total Bounded Variation

Image definition measurement plays an important role in various image processing applications.And a reliable objective image definition metrics is critical for evaluating the definition of the restored image.In this paper,a novel image distortion metric based on minimal Total Bounded Variation(TBV) is presented.It is clarified that when the restored image approximates to the original clear image,the smaller the TBV is,the better the definition of the restored image is.Furthermore,the difference between the restored image and the original clear image is the smallest when the TBV is minimum.In numerical results,the TBV of the original clear image,blur image and restored image are presented and compared,and the results demonstrate the validity of the distortion metric proposed.

Features and correct application of coal vitrinite reflectance index

The law of mathematical statistics, which the coal vitrinite reflectance index obeys, the existing vitrinite representing deviations, and the advantages of judging coalification and the shortage of judging coal type were analyzed. The advantages and disadvantages of various determination methods and the expression index and different methods of identifying vitrinite on the determination results were compared. The vitality of coal vitrinite reflectance depends on its full play the unique function of reflectance histogram and the systematic errors between different determination methods do not affect the application based on reflectance histogram are considered.

Synchronous double cancers of the common bile duct

We report an extremely rare case of synchronous double cancers of the common bile duct without pancreaticobiliary maljunction.Only two similar cases have been reported in the English literature.Endoscopic retrograde cholangiopancreatography showed a tuberous filling defect in the middle and superior parts of the common bile duct,and mild stenosis in the inferior duct.Computed tomography(CT) showed a well enhanced mass in the middle and superior parts of the common bile duct.A single cancer of the middle and superior bile duct was suspected and extra-hepatic bile duct resection was performed.CT eleven months after surgery revealed enhanced inferior bile duct wall and a slightly enhanced tumor within it.Retrospective review of the CT images taken before first surgery showed enhanced inferior bile duct wall without intrabiliary tumor only on the delayed phase.The inferior bile duct tumor was suspected to have originally co-existed with the middle and superior bile duct tumor.Pancreaticoduodenectomy was performed subsequently.Histopathological examination revealed that the middle and superior bile duct tumor was a moderately differentiated tubular adenocarcinoma while the inferior bile duct tumor was a papillary adenocarcinoma.The two tumors were separated and had different histological findings and growth patterns,further suggesting that they were two primary cancers.

Improving Image Copy-Move Forgery Detection with Particle Swarm Optimization Techniques

Copy-Move Forgery(CMF) is one of the simple and effective operations to create forged digital images.Recently,techniques based on Scale Invariant Features Transform(SIFT) are widely used to detect CMF.Various approaches under the SIFT-based framework are the most acceptable ways to CMF detection due to their robust performance.However,for some CMF images,these approaches cannot produce satisfactory detection results.For instance,the number of the matched keypoints may be too less to prove an image to be a CMF image or to generate an accurate result.Sometimes these approaches may even produce error results.According to our observations,one of the reasons is that detection results produced by the SIFT-based framework depend highly on parameters whose values are often determined with experiences.These values are only applicable to a few images,which limits their application.To solve the problem,a novel approach named as CMF Detection with Particle Swarm Optimization(CMFDPSO) is proposed in this paper.CMFD-PSO integrates the Particle Swarm Optimization(PSO) algorithm into the SIFT-based framework.It utilizes the PSO algorithm to generate customized parameter values for images,which are used for CMF detection under the SIFT-based framework.Experimental results show that CMFD-PSO has good performance.

A new measuring method for maximal length, width and thickness dimensions of coarse aggregates

In order to establish a new method for measuring the dimensions of coarse aggregates, five different-size flat and elongated (F&E) coarse aggregates were glued into two specimens by epoxy resin, respectively, and slice images were obtained by X-ray CT, then the aggregates were extracted by the fuzzy c-means clustering algorithm. Attributions of the particle on different cross-sections were determined by the ‘overlap area method’. And unified three-dimensional Cartesian coordinate system was established based on continuous slice images. The coefficient values of spherical harmonics descriptor representing particles surface profile were gained, then each scanned particle was represented by 60×120 discrete points conformably with spherical harmonics descriptor. The chord length and direction angles were determined by the calculation. With the major axis (L) and orthogonal axis (W and T), the calculated results were compared with those measured by caliper. It is concluded that the new L, W, and T dimension measuring method is able to take the place of the present manual measurement.

Benefiting from providing multi-dimensional view of peers in overlay of P2P streaming system

Most overlay of existing P2P streaming systems just focus on the view point of video content data.An multi-dimensional overlay for the P2P streaming system(MDOPS) is proposed for providing multi-dimensional view including video data,peers' service capability and online stability based on locality sensitive hashing.MDOPS organizes all Live/VoD peers and the above multi-dimensional information in a one-dimensinal DHT,uses range resource information publish/search and introduces multiple load balancing methods.MDOPS maintains an additional candidate coordinating peer list with high qualified peers who own the video data the peer would possibly access currently and in future.This list could speed up the process of searching peers for data scheduling layer.Simulation experiment based on trace of real streaming system has testified that MDOPS can effectively improve the quality of search results and smooth load distribution among peers without increasing the cost of resource publish/search.

Adaptive preprocessing algorithms of corneal topography in polar coordinate system

New adaptive preprocessing algorithms based on the polar coordinate system were put forward to get high-precision corneal topography calculation results. Adaptive locating algorithms of concentric circle center were created to accurately capture the circle center of original Placido-based image, expand the image into matrix centered around the circle center, and convert the matrix into the polar coordinate system with the circle center as pole. Adaptive image smoothing treatment was followed and the characteristics of useful circles were extracted via horizontal edge detection, based on useful circles presenting approximate horizontal lines while noise signals presenting vertical lines or different angles. Effective combination of different operators of morphology were designed to remedy data loss caused by noise disturbances, get complete image about circle edge detection to satisfy the requests of precise calculation on follow-up parameters. The experimental data show that the algorithms meet the requirements of practical detection with characteristics of less data loss, higher data accuracy and easier availability.

Approximate Entropy Analysis of Electroencephalogram

Based on the time-delayed embedding method of phase space reconstruction, a new method to compute the approximate entropy （ApEn） of electroencephalogram （EEG） is proposed. The computational results show that there are signiticant differences between epileptic： EEG and normal EEG in the approximate entropy with the variance of embedding dimension. This conclusion is helpful to analyze the dynamical behavior of difibrent EEGs by entropy.

The Criterion of Choosing the Proper Seeding Particles

This paper is focused on the problem of the ability of seeding particles to follow the flow field. One of the most important factors influencing the resultant accuracy of the measurement is using the proper seeding particles for feeding the flow when measuring by PIV （Particle Image Velocimetry） method. The aim of the paper is to provide comprehensible instruction for choosing the proper type of seeding particles with regard to the flow characteristics and required measurement accuracy. The paper presents two methods with the help of which it is possible to determine the seeding particles＇ ability to follow the flow field. The first method is based on the direct calculation of the phase lag and amplitude ratio between the particle and the fluid. The calculation is based on solution of the BBO （Basset Boussinesq Oseen） equation for spherical particle. The other method results from the calculation of the particle time response, which defines the maximum frequency of disturbances, which are to be followed by the particle. In the conclusion, the method of choosing the seeding particles is proposed, depending on the required measurement accuracy.

Diagnostic accuracy of CT scan in abdominal blunt trauma

Objective： To evaluate the sensitivity and specificity of CT scan findings in patients with blunt abdominal trauma admitted to the university hospital. Methods： All the patients with blunt abdominal trauma admitted at a tertiary teaching trauma center in Iran between 2005 and 2007 were enrolled in this study. In the absence of any clinical manifestations, the patients underwent a diagnostic CT scan. Laparatomy was performed in those with positive CT results. Others were observed for 48 hours and discharged in case no problem was reported; otherwise they underwent laparatomy. Information on patients＇ demographic data, mechanism of trauma, indication for CT scan, CT scan findings, results of laparotomy were gathered. The sensitivity, specificity and accuracy of the CT-scan images in regard with the organ injured were calculated. The sensitivity, specificity and accuracy of the CT scan were calculated in each case. Results： CT scan had the highest sensitivity for detecting the injuries to liver （100%） and spleen （86.6%）. The specificity of the method for detecting retroperitoneal hematoma （100%） and injuries to kidney （93.5%） was higher than other organs. The accuracy of CT images to detect the injuries to spleen, liver, kidney and retroperitoneal hematoma was reported to be 96.1%, 94.4%, 91.6% and 91.6% respectively. Conclusion： The findings of the present study reveal that CT scan could be considered as a good choice, especially for patients with blunt abdominal trauma in teaching hospitals where the radiologic academic staff is not present in the hospital in the night shifts.

Some Results on Sum Graph, Integral Sum Graph and Mod Sum Graph

Let N denote the set of positive integers. The sum graph G^＋（S） of a finite subset S belong to N is the graph （S, E） with uv ∈ E if and only if u ＋ v ∈ S. A graph G is said to be a sum graph if it is isomorphic to the sum graph of some S belong to N. By using the set Z of all integers instead of N, we obtain the definition of the integral sum graph. A graph G = （V, E） is a mod sum graph if there exists a positive integer z and a labelling, λ, of the vertices of G with distinct elements from {0, 1, 2,..., z - 1} so that uv ∈ E if and only if the sum, modulo z, of the labels assigned to u and v is the label of a vertex of G. In this paper, we prove that flower tree is integral sum graph. We prove that Dutch m-wind-mill （Dm） is integral sum graph and mod sum graph, and give the sum number of Dm.

Three-Dimensional Stability Analysis of Excavation Using Limit Analysis

The theory of limit analysis is presented for a three-dimensional stability problem of excavation. In frictional soil, the failure surface has the shape of logarithm helicoid, with the outline profile defined by a log- spiral curve. The internal dissipation rate of energy caused by soil cohesion and gravity power of the failure soil is obtained through theoretical derivation. By solving the energy balance equation, the stability factor for the excavation is obtained. Influence of the ratio of width to height, the slope angle, and the top angle on the stability is examined. Numerical results of the proposed algorithm are presented in the form of non dimensional graph. Examples illustrate the practical use of the results.