Visual Programming of Stochastic Weather Generator and Future Applications on Agroecological Study

Based on former studies on weather simulator modules in IPMist laboratory, study on visual programming of stochastic weather generator(VS-WGEN)was continued. In this study, Markov Chain, Monte Carlo, Fourier Series, and weak stationary process were used to generate the daily weather data in software Matlab 6. 0, with the data input from 40 years' weather data recorded by Beijing Weather Station. The generated data includes daily maximum temperature, minimum temperature, precipitation and solar radiation. It has been verified that the weather data generated by the VS-WGEN were more accurate than that by the old WGEN, when twenty new model parameters were included. VS-WGEN has wide software applications, such as pest risk analysis, pest forecast and management. It can be implemented in hardware development as well, such as weather control in weather chamber and greenhouse for researches on ecological adaptation of crop varieties to a given location over time and space. Overall, VS-WGEN is a very useful tool for studies on theoretical and applied ecology.

Spatial Data Process Using Python Script and Visual Programming Language in ArcGIS

Data are limitless. But those are usually not formed or created in our needs. Most of data providers deliver their data in Microsoft Excel spreadsheet, which is compatible with ArcGIS, the most widely used GIS （Geographic Information System） software in GIS sector. However, those table data contain much unnecessary information that do not need for a certain project. Using the raw data can increase processing times and reduce performance of geoprocessing tools. This study shows steps of how the raw data are being processed using ArcGIS ModelBuilder and Python script.

VISUAL PROGRAMMING FOR BUILDING INFORMATION MODELING:ENERGY AND SHADING ANALYSIS CASE STUDIES

INTRODUCTION Although visual programming is being broadly implemented in other disciplines,it has only relatively recently become an important supplement to three-dimensional modeling programs in the architecture,engineering,and construction industry.Currently,Grasshopper in conjunction with Rhino is a leading example of a visual programming environment that is strongly supported by a user community that is developing additional functionality,but Grasshopper does not yet work directly with building information modeling(BIM)software.Dynamo is relatively new,but shows considerable promise in becoming a constructive tool to complement BIM,3D modeling,and analysis programs because it includes parametric geom-etries and works with Revit,a leading BIM software program.Three case studies are described:extensibility of Dynamo through the use of a building energy simu-lation package,controlling a virtual model’s response through light level sensors,and interactively updating shading components for a building facade based on solar angles.They demonstrate that one can work directly within building information models(BIM)using a visual programming language through updating component parameters.These case studies demonstrate the feasibility of a workflow for sustain-able design simulations that is different than that more commonly used--having a separation between design and analysis models and using a neutral file format exchange such as IFC or gbXML to transfer data.As visual programming languages are still a bit uncommon in the building industry,a short background is provided to place them within the tool set of other customizable tools that designers have been developing.

Enhancing Data Analysis and Automation: Integrating Python with Microsoft Excel for Non-Programmers

Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and informed decision-making across diverse domains. Conversely, Python is indispensable for professional programming due to its versatility, readability, extensive libraries, and robust community support. It enables efficient development, advanced data analysis, data mining, and automation, catering to diverse industries and applications. However, one primary issue when using Microsoft Excel with Python libraries is compatibility and interoperability. While Excel is a widely used tool for data storage and analysis, it may not seamlessly integrate with Python libraries, leading to challenges in reading and writing data, especially in complex or large datasets. Additionally, manipulating Excel files with Python may not always preserve formatting or formulas accurately, potentially affecting data integrity. Moreover, dependency on Excel’s graphical user interface (GUI) for automation can limit scalability and reproducibility compared to Python’s scripting capabilities. This paper covers the integration solution of empowering non-programmers to leverage Python’s capabilities within the familiar Excel environment. This enables users to perform advanced data analysis and automation tasks without requiring extensive programming knowledge. Based on Soliciting feedback from non-programmers who have tested the integration solution, the case study shows how the solution evaluates the ease of implementation, performance, and compatibility of Python with Excel versions.

aflak:Visual programming environment enabling end-to-end provenance management for the analysis of astronomical datasets

This paper describes an extendable graphical framework,aflak,which provides a visualization and provenance management environment for the analysis of multi-spectral astronomical datasets.Via its node editor interface,aflak allows the astronomer to compose transforms on input datasets queryable from public astronomical data repositories,then to export the results of the analysis as Flexible Image Transport System(FITS)files,in a manner such that the full provenance of the output data be preserved and reviewable,and that the exported file be usable by other common astronomical analysis software.FITS is the standard of data interchange in astronomy.By embedding aflak’s provenance data into FITS files,we both achieve interoperability with existing software and full reproducibility of the process by which astronomers make discoveries.

Asyncflow: A visual programming tool for game artificial intelligence

Visual programming tools are widely applied in the game industry to assist game designers in developing game artificial intelligence(game AI)and gameplay.However,testing multiple game engines is a time-consuming operation,which degrades development efficiency.To provide an asynchronous platform for game designers,this paper introduces Asyncflow,an open-source visual programming solution.It consists of a flowchart maker for game logic explanation and a runtime framework integrating an asynchronous mechanism based on an event-driven architecture.Asyncflow supports multiple programming languages and can be easily embedded in various game engines to run flowcharts created by game designers.©2021 The Authors.

Design and Implementation of a Programming Learning Support System Using the Concepts of Physical Visualization and Serious Gaming

The purpose of this research is the design and implementation of a support system for learning programming. To archive this purpose, in this article, we propose a Puzzle Programming System that uses jigsaw puzzles as an example of the application of physical visualization, which visualizes logical constraints to physical ones. This Puzzle Programming System aims to teach basic programming concepts by presenting the invisible constraints of programming language syntax using the visual constraints of jigsaw puzzle pieces. This system runs on an Apple iPad and was developed using the Unity game engine. We used YAML as a data format for serializing structured data for data management. By inviting high school students to try out a prototype, we could confirm the usefulness of the Puzzle Programming System. The experimental evaluation results also shed light on aspects of the game that need to be redesigned and parts where the visual programming model needs to be modified and expanded.

VISUAL SIMULATION OF COLD ROLL-FORMING BASED ON OBJECT ORIENTED PROGRAMMING

To simulate the process of cold roll-forming process, a new method isadopted. The theoretical foundation of this method is an elastic-plastic large deformation splinefinite strip method based on object-oriented programming. Combined with the computer graphicstechnology, the visual simulation of cold roll-forming is completed and the system is established.By analyzing common channel steel, the process is shown and explained including theory method, modeland result display. So the simulation system is already a kind of mature and effective tool toanalyze the process of cold roll forming.

小程序结合目视管理在心外科病区库房管理中的应用效果分析

目的:分析小程序结合目视管理在心外科病区库房管理中的应用效果。方法:回顾性分析2020年1—12月广东省中医院心外科病区库房管理数据,2020年1—6月为实施前,采用常规库房管理,2020年7—12月为实施后,在常规库房管理基础上联合小程序结合目视管理。比较实施前后库房管理工作效率、缺货告知次数、物资积压过期数、护理人员满意度。结果:实施后查找物品时间、盘点时间、整理库房时间短于实施前,差异有统计学意义(P<0.05)。实施后缺货告知次数、物资积压过期数少于实施前。实施后护理人员在物品充足、方便寻找、摆放布局好、管理分配合理的满意度高于实施前,差异有统计学意义(P<0.05)。结论:小程序结合目视管理在心外科病区库房管理中的应用效果显著,可提高库房管理工作效率,减少物资缺货、过期数,提高护理人员满意度。

基于云计算的翻转课堂在编程类课程中的应用

面向非理工专业学生开设编程选修课程可使其适应大数据时代的职场及学术要求,但面临缺乏可及性、稳定性强的编程操练环境,理论课程难度较大而课时不足,以及个体化指导和过程性评价不足等困难。在“R语言与数据可视化入门”课程中,通过搭建云计算平台,借助swirl自主学习包实现理论课程翻转教学,借助MOOC/自媒体/自制视频资源实现数据分析与可视化实践课程翻转教学,结合侧重于过程性评价的多元考核方式,达到较好的教学效果。本教学设计对其他非理工专业学生的编程选修课程具有一定示范推广价值。

道路环境与驾驶行为数据同步采集系统研发

高精度、可移植、多维度的在途车辆及其周边驾驶环境数据在L3级及以上自动驾驶汽车场景库测试、不良驾驶行为谱构建以及在途实时交通管控等领域有至关重要的作用,由单一传感器构成的数据采集系统在精度、维度上都受到了较大限制,导致其可靠度较低;为实现多类数据传感器协同一体化,研发了一款包含激光雷达、车载运动测量与组合定位、车载踏板与方向盘位移传感器和雷视道路多维感知一体机的多模块道路环境数据与驾驶行为同步采集系统,支持多项交通数据采集任务的并行处理,融合了用户的真实驾驶行为,并基于该系统设计了依维柯某车型的数据实车采集平台;该系统由上位机与下位机两个子系统构成,集成了多模块数据采集、储存、传输与标定等功能,且对各个模块完成了时间同步处理,适用于两客一危场景,并设计了易操作的上位机用户交互界面,对多模块数据实现实时可视化,直观查看各时段数据的变化规律,具有较高的应用价值。

程序调试中的数据结构演变可视化方法

数据结构是程序执行时的重要信息载体,其演变过程往往较为复杂和抽象。针对程序设计初学者较难理解数据结构演变过程的问题,提出一种面向程序调试中的数据结构演变可视化方法。在调试开始时,首先使用组件表达式表示数据结构,然后通过配置表以及布局函数将组件表达式生成可视化视图。在进行单步调试后,通过对比单步调试前后的可视化数据方式生成组件演变行为,运用有限状态机理论构建数据结构演变模型,该模型的执行使得组件发生演变,同时生成可视化动作。使用动画单元执行可视化动作,实现数据结构演变的可视化呈现,帮助初学者理解数据结构相关程序的执行过程。实验结果表明,将该方法应用于1个数据结构演变可视化框架StructV,并应用于1个在线可视化编程实训云平台的研发,可有效降低初学者理解数据结构演变过程的难度,并提升编程实训时的程序调试效率。

传统文化类小程序界面设计要素对学习兴趣的影响研究

目的本研究旨在探讨传统文化类微信小程序界面设计要素对用户学习兴趣的影响。通过分析界面设计因素,旨在揭示界面设计要素如何促进用户对传统文化学习的兴趣。方法采用作者独立设计的小程序界面方案作为研究样本,结合主观调查问卷和眼动追踪实验,研究不同界面设计要素对用户在使用过程中学习兴趣的影响模式。结果眼动追踪数据与问卷调查结果均显示,在传统文化类微信小程序的界面设计中,适宜的字体样式与色彩搭配、引人入胜的交互设计,以及合理的功能布局对增强用户学习兴趣具有显著作用。结论本研究的发现为传统文化类微信小程序的界面设计提供了提升用户体验和学习兴趣的理论依据、实践指导。这些结论对设计者在开发类似应用程序时,如何通过界面设计激发和维持用户学习兴趣具有重要的参考价值。

Visual Prolog的搜索控制机制分析

回溯机制是逻辑程序设计的重要设施。回溯本身是一种获得目标所有可能解的良好方法。然而回溯也有副作用,一是它可能导致Visual Prolog给出多余的答案,而Visua1 Prolog自己不能区分实质上相同的两个解,因此会降低效率;二是尽管一个特殊的目标已被满足,但是回溯机制可能还会强迫Visual Prolog 继续寻找另外的解,因此会增加系统开销。在这些情况下,必须仔细控制目标搜索求解的回溯过程。本文在揭示Visual Prolog回溯机制所存在问题的基础上,通过实例,对Visual Prolog的静态截断机制、失败谓词fail与否定谓词not等控制谓词,以及动态截断机制等所构成的完整的目标搜索求解控制机制进行了详细分析,从而揭示出回溯机制和搜索求解控制机制的本质特性及应用机理。

Visual Prolog截断机制对回溯的作用机理

回溯是一种获得目标所有可能解的良好方法。然而不恰当地使用回溯,可能导致系统效率降低,时空开销增大,因此必须设置相应机制,仔细控制回溯过程。VisualProlog的控制谓词,即失败谓词fail和否定谓词not,与截断机制,包括静态截断机制和动态截断机制,构成了完整的目标搜索求解控制机制,可以实现对搜索过程的仔细控制,减少不必要的回溯。该文在考察VisualProlog回溯机制和截断机制的基础上,通过实例,对其静态截断机制和动态截断机制进行了详细分析,从而揭示回溯机制和截断机制的本质特性和应用机理。

Visual C#与Matlab混合编程方法及其实现

针对Matlab用户界面操作比较简单、执行效率较低、难以实现底层的I/O操作等缺点,提出了利用Matlab生成DLL格式的共享库,由Visual C#进行调用的混合编程思想,并详细给出了混合编程的方法.蔡氏混沌电路的设计实例表明,所提出的编程思想能够弥补Matlab的不足,拓展其应用范围,提高其运行的效率和灵活性.

Visual Prolog的回溯机制分析

回溯机制是逻辑程序设计的重要设施。回溯本身是一种获得目标所有可能解的良好方法。在考察VisualProlog回溯机制作用原理的基础上,通过若干实例,详细阐述了回溯机制所遵循的4个基本原则,即自顶向下逐层搜索原则、从左到右顺序扫描原则、规则匹配原则、事实匹配原则,给出了回溯机制的循环实现方法,深入分析了回溯过程可能发生的各种情况,从而揭示出回溯机制的本质特性和应用机理。结论指出回溯机制具有副作用,需要利用截断机制、失败谓词等对搜索过程进行仔细控制。

Visual Prolog智能集成开发环境评述

VisualProlog是国际上已经广泛流行的功能强大的通用智能化应用集成开发环境。本文全面评述其功能特点 ,包括VisualProlog的由来与发展、可视化开发环境、可视化编程接口、语言与编译器、运行环境等。

面向结构化篇级科技文献数据治理的高性能分布式计算框架研究

[研究目的]为解决MapReduce、Spark等主流分布式计算框架存在的研发周期长、技术门槛高等问题,提出了一种高灵活、低门槛的高性能计算框架ArticleCF。[研究方法]ArticleCF框架吸收了主流分布式技术的优点,同时深度结合科技文献数据治理的特性,设计了Master/Slave的软件架构,在功能上针对科技文献数据特点进行多个维度的设计,重点设计了分布式任务分发策略、并行计算策略以及故障转移机制。[研究结论]通过21个指标将ArticleCF与MapReduce、Spark、Storm进行对比实验,有效验证所提方法的可行性、有效性,ArticleCF能够满足海量结构化科技文献数据的多样化处理需求。

数据整理脚本语义的可视化

理解数据整理脚本的语义是数据工作者的常见需求.然而,数据整理操作的类型及其代码的实现方式复杂多样,使得数据工作者在理解脚本语义时费时费力.通过收集数据工作者在理解数据整理脚本语义上的具体需求,设计并实现了一个基于概览和细节模式的交互式可视分析系统ChangeVis,帮助数据工作者理解表格在数据整理过程中的变化.ChangeVis包含概览视图,语义视图,统计视图和数据视图4个视图,分别可视化代码块中的表结构变化、行列信息变化、单元格数据变化以及执行的数据转换操作的语义.通过案例分析和用户实验,验证了ChangeVis系统在帮助数据工作者理解数据整理脚本语义的可用性和有效性.