基于ActiveX Scripting组件的调试器实现

利用可重用性的组件或对象,重新构建新应用程序,能明显提高程序开发效率和改善程序质量。本文首先介绍了基于组件的 ActiveX Scripting 的技术框架,分析了框架中各组件的功能,并在此基础上给出了利用这些可重用的组件构建调试器程序的具体实现。

基于ActiveX Scripting技术的继电保护装置自定义整定计算系统研究

研究了ActiveX Scripting技术及其在继电保护装置整定计算系统中的应用,着重研究了通过脚本语言自定义整定计算原则的设计原理。本系统从根本上实现了继电保护保护装置和整定原则的自定义计算功能,具有很强的通用性、扩展性以及可移植性。

PhotoShop Scripting技术及其应用

从“Action（动作）”的功能不足，引出Photoshop中全新的自动化操作方法——Scripting。介绍了PhotoShop Scripting的应用平台，对象模型及其层次结构，以及基本操作流程。最后，以批量编辑处理网站素材图片的实际应用为例，分析出Scripting技术相对于传统的“动作”的优势，揭示了Scripting技术在提高Photoshop图像处理工作效率方面的作用。

ActiveX Scripting技术在组态软件中的应用

在分析传统组态软件编写脚本程序存在的困难提出了一种有效的解决办法。通过使用ActiveX Scripting技术,可以在应用程序中方便地添加类似VBA的脚本语言,并给出了ActiveX Scripting在组态软件中的应用。

基于Eclipse Scripting API的放疗计划DVH评估软件的开发

目的:开发剂量体积直方图(dose-volume histogram,DVH)评估软件,使放疗物理师能对放疗计划DVH进行自动化评估。方法:利用Eclipse软件内置的应用程序开发接口Eclipse Scripting API进行开发,以Eclipse功能插件的形式运行,检索和读取放疗计划危及器官和计划靶区的DVH信息,并与评估标准进行比较,生成评估结果。结果:DVH评估软件能在1.0～1.5 s内完成一个放疗计划(包含全部危及器官和计划靶区)的DVH评估,得到精确的评估结果。结论:利用DVH评估软件能够快速、高效、精确地评估放疗计划的DVH,减少了评估用时,提高了放疗物理师制订放疗计划的工作效率。

基于Eclipse Scripting API的放疗案例搜索系统的设计与实现

目的:设计放疗案例搜索系统,使放疗医师和技术人员能够按照放射物理学条件搜索放疗案例。方法:根据放疗案例搜索需求设计结构、处方剂量、剂量体积和计划类型4个搜索模块,采用客户端/服务器(Client/Server,C/S)架构,利用放疗计划设计软件Eclipse应用程序开发接口(Eclipse Scripting API)进行开发,以编程的方式查询患者的放疗计划信息进行案例搜索。结果:根据搜索类型的不同,搜索系统能以17~150例/s的检索速度精确地查询大量放疗患者的放疗计划信息,收集相关案例。结论:利用放疗案例搜索系统能够高效快速地使用复杂放射物理学条件搜索放疗案例,方便了放射治疗临床、科研和教学工作。

基于Eclipse Scripting API的剂量限制结构生成系统的设计与实现

目的:开发剂量限制结构生成系统,以自动生成放疗物理师制订调强放疗计划时所需的剂量限制结构。方法:该系统利用Eclipse软件内置的应用程序开发接口Eclipse Scripting API进行开发,以Eclipse功能插件的形式运行。利用Eclipse Scripting API检索并读取调强放疗计划中计划靶区和危及器官的名称、体积等信息,并调用Eclipse软件自身的功能进行结构的新建、体积外扩和裁剪等操作,生成剂量限制结构。结果:该系统能在1.5~3.0 s内按指定条件生成危及器官计划体积、剂量缓冲区和剂量控制环等3种调强放疗计划所需的剂量限制结构,且生成的剂量限制结构外形轮廓、体积数值、颜色与手工生成的完全一致,符合功能设计要求。结论:该系统不仅简化了剂量限制结构生成操作步骤,避免了放疗物理师的重复劳动,还大幅减少了剂量限制结构生成用时,提高了制订调强放疗计划的工作效率。

ActiveX Scripting技术在先控工程上的应用

本文介绍了ActiveX Scripting技术,基于ActiveX Scripting技术开发了算法扩展组件,探讨了该组件的系统特点及在先控工程上的应用,为先控工程师提供了脚本编辑,离线调试,最后在线运行这样一套完整的编写自定义扩展算法的操作流程,解决了在特殊工况、特殊装置下运用算法扩展组件编写脚本扩展算法达到辅助控制的目标。

基于Eclipse Scripting API的剂量验证计划生成系统的设计与实现

目的:开发剂量验证计划生成系统,批量、自动化生成用于调强放疗(intensity modulated radiation therapy,IMRT)计划剂量验证的放疗计划。方法:利用Eclipse计划系统内置的应用程序开发接口Eclipse Scripting API,采用客户端/服务器(Client/Server,C/S)架构,基于WPF(windows presentation foundation)框架和C#编程语言,设计包括参数设置、患者选择、计划选择和剂量验证计划生成4个模块的剂量验证计划生成系统。同时,随机调取30例IMRT计划生成对应的剂量验证计划,并比较自动生成和手工生成的用时。结果:该系统生成30例剂量验证计划用时627 s,手工生成用时3032 s,2种生成方式生成的剂量验证计划的机械参数、计划参数、剂量学参数完全一致,符合设计要求。结论:剂量验证计划生成系统能够快速、高效、简便地生成剂量验证计划,避免了放疗物理师的重复劳动,减少了操作用时,提高了工作效率。

Performance Analysis of Cross⁃Site Scripting Based on Natural Language Processing

With the acceleration of network communication in the 5G era,the volume of data communication in cyberspace has increased unprecedentedly.The speed of data transmission will accelerate.Subsequently,the security of network communication data becomes more and more serious.Among them,malicious cross⁃site scripting leading to the leakage of user information is very serious.This article uses URL attribute analysis method and YARA rule to process data for cross⁃site scripting based on the long short⁃term memory(LSTM)characteristics of LSTM model.The results show that the LSTM classification model adopted in this paper has higher recall rate and F1⁃score than other machine learning methods,which proves that the method adopted in this paper is feasible.

系统管理员的简易Active Directory脚本(二)——另两个系统工程师应该知道的AD Scripting接口

在上期“系统管理员的简易Active Directory脚本(一)”一文中,我提到您只需要利用五十多个活动目录服务接口(Active Directory Scrvice Interface,ADSI)中的三个核心接口,就能完成80％的Active Directory(AD)管理任务,并介绍了其中一个核心接口IADsOpenDSObject,您可以使用这个接口向AD验证您的连接。在上文中,还介绍了AD的概念,一些重要的ADSI术语和可分辨名称(Distinguished Name,DN)的相关内容。本文将继续介绍余下的两个核心接口——IADs和IADsContainer。

Automated Linac QA Using Scripting and Varian Developer Mode

Purpose: Linac quality assurance (QA) can be time consuming involving set up, execution, analysis and subject to user variability. The purpose of this study is to develop qualitative automation tools for mechanical and imaging QA to improve efficiency, consistency, and accuracy. Methods and Materials: Traditionally QA has been performed with graph paper, film, and multiple phantoms. Analysis consists of ruler and vendor provided software. We have developed a single four-phantom method for QA procedures including light-radiation coincidence, imaging quality, table motion and Isocentricity and separately cone beam computed tomography. XML scripts were developed to execute a series of tasks using Varian’s Truebeam Developer Mode. Non-phantom QA procedures have also been developed including field size, dose rate, MLC position, MLC and gantry speed, star shot, Winston-Lutz and Half Beam Block. All analysis is performed using inhouse MATLAB codes. Results: Overall time savings were 2.2 hours per Linac per month. Consistency improvements (standard deviation, STD) were observed for some tests. For example: field size improved from 0.11 mm to 0.04 mm and table motion improved from 0.17 mm to 0.12 mm. CBCT STD improved from 0.99 mm to 0.61 mm for slice thickness. No STD change was observed for Isocentricity test. We noticed an increase in STD from 0.33 mm to 0.41 mm for light-radiation coincidence test. There was a small drop in field size accuracy. Isocentricity showed an increase in measurement accuracy from 0.47 mm to 0.15 mm. Table motion increased in accuracy from 0.20 mm to 0.16 mm. Conclusion: Automation is a viable, accurate and efficient option for monthly and annual QA.

Design & Test of an Advanced Web Security Analysis Tool (AWSAT)

Considering the escalating frequency and sophistication of cyber threats targeting web applications, this paper proposes the development of an automated web security analysis tool to address the accessibility gap for non-security professionals. This paper presents the design and implementation of an automated web security analysis tool, AWSAT, aimed at enabling individuals with limited security expertise to effectively assess and mitigate vulnerabilities in web applications. Leveraging advanced scanning techniques, the tool identifies common threats such as Cross-Site Scripting (XSS), SQL Injection, and Cross-Site Request Forgery (CSRF), providing detailed reports with actionable insights. By integrating sample payloads and reference study links, the tool facilitates informed decision-making in enhancing the security posture of web applications. Through its user-friendly interface and robust functionality, the tool aims to democratize web security practices, empowering a wider audience to proactively safeguard against cyber threats.

ActiveX Scripting技术(一)

ActiveX Scripting技术是Microsoft ActiveX技术的一个组成部分,它的主要目的是使应用程序在不被修改的情况下,为各种脚本语言所控制。在软件交互性不断提高的今天,仅仅提供菜单或工具箱的界面已经不能满足用户的需要了,软件的可定制特性已经成为当今软件的一项基本特征,尤其对于一些通用的软件更为如此。大家比较熟悉的Microsoft Office,比如Word字处理软件,它不仅提供了界面的任意定制,还提供了方便的BASIC语言的可编程特性,用户可以通过编写BASIC语言实现较为复杂的功能扩充。 Microsoft提供的ActiveX Scripting技术可使软件扩充变得非常简单,软件开发商利用脚本引擎(Script Engine)支持脚本语言的解释和执行操作,而软件用户可以根据需要编写自己的脚本代码,交由软件处理。对于用户来说。

基于算法语言的住宅总平面生成研究

文章以鄂西南地区的住宅为研究对象,以当地总平面特征为切入点,利用类型学与形态学方法归纳总结传统住宅的总平面特征。将传统住宅布局设计经验转化为算法模型,实现了鄂西南住宅总平面的智能化输出,针对鄂西南住宅活化的问题,提出了新思路、新方法与新策略。

Author Guidelines

Submission Manuscripts should be submitted by one of the authors of the manuscript through the online Manuscript Tracking System(MTS)(http://mc03.man uscriptcentral.com/epphy).Regardless of the source of the word-processing tool,only electronic PDF(.pdf) or Word(.doc,.docx,.rtf) files can be submitted through the MTS.There is no page limit.Only online submissions are accepted.Submissions by anyone other than one of the authors will not be accepted.The submitting author takes responsibility for the paper during submission and peer review.If for some technical reason,submission through the MTS is not possible,the author can contact epp@mail.iggcas.ac.cn for support.

ActiveX Scripting技术(二)

在介绍了应用系统和脚本引擎所实现的一些关键接口之后,我们再进一步看看应用系统和脚本引擎的协作过程,如图2所示。

Scientific scripting in Java with JShellLab and application to deep learning using DeepLearning4j

JShellLab is an easy to use MATLAB-like environment for the Java Virtual Machine(JVM).It implements scientific scripting based on the JShell Application Programming Interface(API)of modern Java.The paper illustrates that JShellLab can significantly facilitate and simplify the development of complex computational demanding scientific software at the JVM.The novelty at the JShellLab is that it completely hides the complexity and the intricate dependencies of optimized scientific software.As an example,the demanded field of deep learning is exploited.Specifically,the implementation of effective practical deep learning-based systems using the JShellLab environment and the Deeplearning4j Java library is considered.

ActiveX Scripting技术(三)

然后我们看看类CScriptHost中接口IActiveScriptSite的成员函数GetItemInfo的实现,因为引擎调用GetItemInfo函数获取其名字空间中名字项的信息,所以我们要在此函数中把应用系统的对象暴露给引擎和脚本,代码如下:

Implementation of Level-3 Autonomous Patient-Specific Quality Assurance with Automated Human Interactive Devices

Purpose: Patient-specific quality assurance (PSQA) requires manual operation of different workstations, which is time-consuming and error-prone. Therefore, developing automated solutions to improve efficiency and accuracy is a priority. The purpose of this study was to develop a general software interface with scripting on a human interactive device (HID) for improving the efficiency and accuracy of manual quality assurance (QA) procedures. Methods: As an initial application, we aimed to automate our PSQA workflow that involves Varian Eclipse treatment planning system, Elekta MOSAIQ oncology information system and PTW Verisoft application. A general platform, the AutoFrame interface with two imbedded subsystems—the AutoFlow and the PyFlow, was developed with a scripting language for automating human operations of aforementioned systems. The interface included three functional modules: GUI module, UDF script interpreter and TCP/IP communication module. All workstations in the PSQA process were connected, and most manual operations were automated by AutoFrame sequentially or in parallel. Results: More than 20 PSQA tasks were performed both manually and using the developed AutoFrame interface. On average, 175 (±12) manual operations of the PSQA procedure were eliminated and performed by the automated process. The time to complete a PSQA task was 8.23 (±0.78) minutes for the automated workflow, in comparison to 13.91 (±3.01) minutes needed for manual operations. Conclusion: We have developed the AutoFrame interface framework that successfully automated our PSQA procedure, and significantly reduced the time, human (control/clicking/typing) errors, and operators’ stress. Future work will focus on improving the system’s flexibility and stability and extending its operations to other QA procedures.