Project Zero: First Impressions

Project Zero 是 IBM 推出的一个敏捷 Web 开发框架项目,旨在提供零复杂度、零开销、零障碍的开发体验。它支持 Groovy 和 PHP 语言,采用自包含运行模式,无需额外部署到 Web 服务器。尽管目前尚未开源,但邀请社区参与其发展。

Last weekend, Project Zero officially unveiled its community site. Project Zero is a fresh new project from IBM which aims at the agile web development framework domain which is getting momentum very fast lately with the popular RoR and the promising newcomer Grails.

Project Zero’s tagline is, “Zero complexity. Zero overhead. Zero obstacles.” “The Project Zero environment includes a scripting runtime for Groovy and PHP with application programming interfaces optimized for producing REST-style services, integration mash-ups and rich Web interfaces.”

Zero complexity or not, there are a few interesting aspects about Zero worthing noting.

1. Zero leverages Groovy.
That’s right! Probably the first time I’ve seen Groovy adopted into a project by a major company. Great news for Groovy lovers!

2. Zero supports PHP.
That’s sounds a bit weird. The fact is, Zero has implemented the support for PHP in Java. However, only a small subset of the standard PHP libraries are supported by now. Read the FAQ for more details.

3. Zero is self-contained
What that means is that each Zero application runs only by the Zero runtime. It doesn’t need to be deployed to any web server. The Zero runtime contains a minimalist server based on WAS CE. This is similar to Grails. (But Grails applications can also be deployed to any JEE server.)

4. Zero is NOT open source. But it invites the community to drive it.
Community-Driven Commercial Development is Zero’s official name for its development approach. This is already causing a lot of debates in the community. Let’s wait and see how this will work. Check out the official FAQ for more details.

Overall, Project Zero looks like an interesting endeavor from a major player in the industry to commercially challenge the world of agile web development. But judging from what it looks at this stage, I’m not 100% convinced if Zero has got everything right.

Next time, I’ll write up my first experiences playing with Zero, and putting it up against Grails.

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内容概要:本文围绕六自由度机械臂的人工神经网络(ANN)设计展开,重点研究了正向与逆向运动学求解、正向动力学控制以及基于拉格朗日-欧拉法推导逆向动力学方程,并通过Matlab代码实现相关算法。文章结合理论推导与仿真实践,利用人工神经网络对复杂的非线性关系进行建模与逼近,提升机械臂运动控制的精度与效率。同时涵盖了路径规划中的RRT算法与B样条优化方法,形成从运动学到动力学再到轨迹优化的完整技术链条。; 适合人群:具备一定机器人学、自动控制理论基础,熟悉Matlab编程,从事智能控制、机器人控制、运动学六自由度机械臂ANN人工神经网络设计:正向逆向运动学求解、正向动力学控制、拉格朗日-欧拉法推导逆向动力学方程(Matlab代码实现)建模等相关方向的研究生、科研人员及工程技术人员。; 使用场景及目标:①掌握机械臂正/逆运动学的数学建模与ANN求解方法;②理解拉格朗日-欧拉法在动力学建模中的应用;③实现基于神经网络的动力学补偿与高精度轨迹跟踪控制;④结合RRT与B样条完成平滑路径规划与优化。; 阅读建议:建议读者结合Matlab代码动手实践,先从运动学建模入手,逐步深入动力学分析与神经网络训练,注重理论推导与仿真实验的结合,以充分理解机械臂控制系统的设计流程与优化策略。
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