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1.
基于VBA和EXCEL的ARENA仿真输出可视化表达   总被引:1,自引:1,他引:0  
首先介绍了Arena软件的应用环境和Microsoft Visual Basic for Application(VBA)在Arena中的应用。以一个营销咨询与服务系统的为例,通过建立Area仿真模型,在Arena中添中VBA模块,实现了VBA调用Excel,从而丰富了Arean的仿真输出。  相似文献   

2.
基于OpenGL的运动视景仿真的实现   总被引:6,自引:0,他引:6  
以智能水下机器人AUV(Autonomous Underwater Vehicles)路径规划和运动仿真为背景,提出了一种在VC++5.0开发平台下penGL实现运动视景仿真的途径和方法。  相似文献   

3.
本文就Visual FoxPro5.0(VFP5.0)应用程序中通过对象的链接与嵌入(OLE)和ActiveX控件,利用Microsoft Excel与Graph图表实现数据的图表化作一简单介绍。  相似文献   

4.
巧用VisualBasic制作动态加密口令汪卫民(中国农业大学管理工程学院,北京100083VisualBasic语言(以下简称VB)是基于事件驱动的面向对象的可视化程序设计语言。它提供的平台及各种控件,从某种意义上就好像是任由设计摆布设置的舞台道具...  相似文献   

5.
申春  齐枫 《计算机应用》1998,18(6):59-60
在VB下实现透明动画申春长春科技大学信息技术学院吉林长春(130000)齐枫吉林省邮电学校吉林长春(130000)应用可视化编程语言VisualBasic,介绍实现透明动画的两种方法。1多帧透明动画如果要求在背景图像下固定的范围内实现较复杂透明动画,...  相似文献   

6.
1VC++6.0概述MicroSoft公司1998年推出了VisualC++6.0,它是支持Win32平台应用程序(application)、服务(service)和控件(control)开发的可视化编程的集成环境,与VC++5.0的最大不同之处是它...  相似文献   

7.
解决一类遗传算法早熟收敛的混合法及其推广   总被引:10,自引:0,他引:10  
徐川育 《软件学报》1998,9(3):231-235
本文分析了变型标准遗传算法VCGA(variantsofcanonicalgeneticalgorithms)有时会产生早熟收敛的机理,提出了混合法HVCSDA(hybridVCGAcombinedwithsteepestdescentapproach),并进行了推广.该方法可使最优保存的超级个体时间序列离开早熟收敛状态而继续接近全局最优解.仿真实例表明了本文算法的有效性.在30城市TSP(travelingsalesmanproblem)的基准测试问题中,本文得到了路径为6.82的结果,它好于用新的现代的启发式搜索方法——TABU搜索法得到的6.99的结果.  相似文献   

8.
EXCEL在离散事件系统仿真中的应用研究   总被引:1,自引:0,他引:1  
该文将Microsoft Excel应用于离散事件系统仿真中,以Excel的工作表作为输入和输出界面,采用宏语言(VBA)编写仿真代码,对单服务排队系统进行了仿真研究,文中内容可为离散事件为系统仿真和教学提供参考。  相似文献   

9.
AVS-先进的可视化软件系统   总被引:5,自引:0,他引:5       下载免费PDF全文
1AVS与可视化从1988年起,AVS(AdvancedVisualSystems)作为美国Stradent计算机公司的三维可视化工具,就处于可视化技术市场的前沿。1992年,AVS独立成立有限股份公司。1993年,AVS合并了丹麦的著名图形产品供应...  相似文献   

10.
T功能强大的ActiveX控件——TrueDBGrid彭彬(华南师范大学化学系,广州510631)rueDBGrid是Apex(R)SoftwareCorporation的产品,实际上它是VisualBasic自带的DBGrid控件的升级版本。当前该...  相似文献   

11.
We study challenges raised by the order of Arabic verbs and their subjects in statistical machine translation (SMT). We show that the boundaries of post-verbal subjects (VS) are hard to detect accurately, even with a state-of-the-art Arabic dependency parser. In addition, VS constructions have highly ambiguous reordering patterns when translated to English, and these patterns are very different for matrix (main clause) VS and non-matrix (subordinate clause) VS. Based on this analysis, we propose a novel method for leveraging VS information in SMT: we reorder VS constructions into pre-verbal (SV) order for word alignment. Unlike previous approaches to source-side reordering, phrase extraction and decoding are performed using the original Arabic word order. This strategy significantly improves BLEU and TER scores, even on a strong large-scale baseline. Limiting reordering to matrix VS yields further improvements.  相似文献   

12.
A few study examined the impact of value and aspects of behavioral intention in virtual environment. The aim of this study is to examine the impact of emotional value (VE), social value (VS), price-value for money (VP), performance-quality value (VQ) and repurchase intention (RI), willingness to pay a premium price (WTP) and word of mouth (WOM) among massively multiplayer online role-playing games (MMORPGs). A total of 228 valid questionnaires were collected from cybercafé customers in Klang Valley-Malaysia. Structural equation modeling (SEM) was employed using partial least squares (PLS) analysis to assess measurement and structural model for reflective construct. Our result reveals that there is a positive relationship between VP and RI, VQ and RI while there is no positive relationship between VE and RI, VS and RI. VE, VP and VQ value positively impact WOM but VS does not. VE and VP have positive while VQ and VS did not explain WTP. This study contributes to literature on the new phenomena of online game and is considered as few studies in examining value in Second Life setting. The practical and social implications of study are discussed along with research limitation and implication.  相似文献   

13.
There has been a vast augmentation in quantity of Video Content (VC) generated amid the last some years. The Video Summarization (VS) approach is introduced for managing the VC. Prevailing VS techniques have endeavored to render the VS but the systems have Execution Time (ET) as well as condensing the video's content in domain specific manner. To triumph over such disadvantages, this paper proposed efficient VS for surveillance system using normalized k-means along with quick sort method. The proposed technique comprises eight stages, like split video into frames, pre-sampling, provide ID number, feature extraction, Feature Selection (FS), clustering, extract frames, video summary. Initially, the video frames are pre-sampled utilizing the proposed Three Step Cross Searching Algorithm (TSCS) technique. Then, give the ID number for every frame. Next, the features are extracted as of the frames. Then, the necessary features are selected using Entropy based Spider Monkey Algorithms (ESMA). In next stage, the features are grouped using Normalized K-Means (N-Kmeans) algorithm for identifying best candidate frames. Then select the minimum distance value based cluster set is the Key Frame (KF) selection. At last, the video is orderly summarized using quick sort method. Finally, in experimental evaluation the proposed work is compared with the prevailing methods. The proposed VS gave better outcome than the existing approaches.  相似文献   

14.
We have proposed the concept of the virtual segment (VS), in which a global communication service is provided by combining a store–carry–forward scheme using vehicles with broadband wireless/wired network infrastructures along roads connected to the Internet. The VS can be a practical framework for non-real-time, asynchronous message transfer (especially for large messages) in a cost-effective manner. In this study, a critical implementation design issue, the message forward scheduling, in the VS approach is discussed and investigated through computer simulation by our developed VS simulator that has reflected the results of the field experiment for realistic performance evaluation.  相似文献   

15.
VS2008是当前软件开发常用的开发环境,其中在VS2008IDE下进行程序的开发,程序开发人员可以很好地利用该开发环境所继承的应用程序调试工具进行程序的调试工作。从对VS2008的开发环境的介绍谈起,就VS2008的IDE环境中对应用程序进行调试的方法进行了说明,最后对VS2008的IDE环境中应用程序进行调试的步骤进行了分析。  相似文献   

16.
A variable-structure (VS) PID controller for the level process is proposed. A methodology of analysis of its stability and performance is given. It is proposed that stability of the VS system can be approximately analyzed via the describing function method. The describing function of the VS PID controller is derived. It is shown that the system with the VS PID controller is quasi-linear. Tuning rules for the VS PI controller for the level process are given. It is shown via the theory and simulations presented that, if properly tuned, the VS PI controller has higher performance than the conventional PI controller for the process considered.  相似文献   

17.
Virtual screening (VS) methods can considerably aid clinical research, predicting how ligands interact with drug targets. Most VS methods suppose a unique binding site for the target, but it has been demonstrated that diverse ligands interact with unrelated parts of the target and many VS methods do not take into account this relevant fact. This problem is circumvented by a novel VS methodology named BINDSURF that scans the whole protein surface in order to find new hotspots, where ligands might potentially interact with, and which is implemented in last generation massively parallel GPU hardware, allowing fast processing of large ligand databases. BINDSURF can thus be used in drug discovery, drug design, drug repurposing and therefore helps considerably in clinical research. However, the accuracy of most VS methods and concretely BINDSURF is constrained by limitations in the scoring function that describes biomolecular interactions, and even nowadays these uncertainties are not completely understood. In order to improve accuracy of the scoring functions used in BINDSURF we propose a hybrid novel approach where neural networks (NNET) and support vector machines (SVM) methods are trained with databases of known active (drugs) and inactive compounds, being this information exploited afterwards to improve BINDSURF VS predictions.  相似文献   

18.
While visual servoing (VS) provides the ability of motion using vision for robot manipulators, the approaches for a better VS have to deal with three common problems: obtaining the interaction matrix and its pseudoinverse for defined feature points, finding an appropriate gain value for the VS controller and keeping the features in the field of view (FOV) for VS permanency.In this study, a new intelligent image-based visual servoing (IBVS) system for eye-in-hand configured robot manipulators using extreme learning machine (ELM) and fuzzy logic (FL) is proposed to solve these common problems of VS in a single system. As the first stage of the system, the pseudoinverse of the interaction matrix is approximated using trained ELMs which do not need hidden layer tuning. As the second stage, the classical IBVS controller is modified by a differential equation regarding initial velocity continuity and an appropriate gain in each loop is assigned by an FL unit to provide fast convergence within velocity limits. This unit also promotes manipulability of the manipulator to avoid singularities. As the last stage of the proposed system, regions are defined in the image plane to take precautions before feature missing. When a feature comes close to the edge of a restricted region, an FL unit is activated to obtain negative linear velocities in x and y direction which will be added to the instant velocities to drag the features towards the center of the FOV. In addition to these abilities, some VS metrics are redefined analytically to standardize the performance metric definitions of VS. To show the performance of the proposed system, simulation results of the classical and the proposed IBVS system under practical disturbances are presented for visual servoing of a Puma 560 arm. The advantages of singular matrix and joint configuration avoidance, adaptive gain with smooth gain surface, decreased convergence time within velocity limits, initial velocity continuity, FOV keeping with smooth velocity assurance, redefined VS metrics for standardization and robustness against disturbances are proved by variety of simulations. The simulation results also verify that the proposed system utilizing intelligent methods like ELM and FL is capable of dealing with common problems of VS and achieves sufficient results in terms of VS metrics.  相似文献   

19.
Support vector machines (SVM) and other machine-learning (ML) methods have been explored as ligand-based virtual screening (VS) tools for facilitating lead discovery. While exhibiting good hit selection performance, in screening large compound libraries, these methods tend to produce lower hit-rate than those of the best performing VS tools, partly because their training-sets contain limited spectrum of inactive compounds. We tested whether the performance of SVM can be improved by using training-sets of diverse inactive compounds. In retrospective database screening of active compounds of single mechanism (HIV protease inhibitors, DHFR inhibitors, dopamine antagonists) and multiple mechanisms (CNS active agents) from large libraries of 2.986 million compounds, the yields, hit-rates, and enrichment factors of our SVM models are 52.4–78.0%, 4.7–73.8%, and 214–10,543, respectively, compared to those of 62–95%, 0.65–35%, and 20–1200 by structure-based VS and 55–81%, 0.2–0.7%, and 110–795 by other ligand-based VS tools in screening libraries of ≥1 million compounds. The hit-rates are comparable and the enrichment factors are substantially better than the best results of other VS tools. 24.3–87.6% of the predicted hits are outside the known hit families. SVM appears to be potentially useful for facilitating lead discovery in VS of large compound libraries.  相似文献   

20.
Support vector machines (SVM) and other machine-learning (ML) methods have been explored as ligand-based virtual screening (VS) tools for facilitating lead discovery. While exhibiting good hit selection performance, in screening large compound libraries, these methods tend to produce lower hit-rate than those of the best performing VS tools, partly because their training-sets contain limited spectrum of inactive compounds. We tested whether the performance of SVM can be improved by using training-sets of diverse inactive compounds. In retrospective database screening of active compounds of single mechanism (HIV protease inhibitors, DHFR inhibitors, dopamine antagonists) and multiple mechanisms (CNS active agents) from large libraries of 2.986 million compounds, the yields, hit-rates, and enrichment factors of our SVM models are 52.4–78.0%, 4.7–73.8%, and 214–10,543, respectively, compared to those of 62–95%, 0.65–35%, and 20–1200 by structure-based VS and 55–81%, 0.2–0.7%, and 110–795 by other ligand-based VS tools in screening libraries of ≥1 million compounds. The hit-rates are comparable and the enrichment factors are substantially better than the best results of other VS tools. 24.3–87.6% of the predicted hits are outside the known hit families. SVM appears to be potentially useful for facilitating lead discovery in VS of large compound libraries.  相似文献   

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