I want to use ext,spring and hibernate in this project

本文介绍了一个使用ExtJS JavaScript框架和CXF Web服务框架的项目案例。通过ExtJS实现页面的快速开发,并利用CXF进行Web服务的构建。文章还提及了Spring Web MVC、Hibernate等技术的应用。
I found the ext js lib is a very useful javascript framework.So I decided to use it in this project.Because this project has many tabs pages,I want use this framework to make pages and want ues Volocity framework to auto generate all the pages.I plan to use spring web mvc framework and when the client requests a page which contains tabs the spring framework auto redirect to a controller which will get the name of the page from request's parameters and read properties from a configuration file which defines the name,display name,display page of all these tabs.Now this is only a concept,I will implement it next week if there is nothing about the web services.

In the Web Services module,I decided to use CXF web service framework to implement this project.In this project ,we have all the xsd and wsdl files,so I use the wsdl2java command which contains in CXF framework to generator all the java codes except the logic codes of business .I have just read the pojo in action book,so I decided to ues domain object to design this module.We used hibernate to access the Oracle 9i,and extended the HibernateSupport abstract class to implement the repository.When we implemented all the repositories we didn't deal with the HibernateException.Because the HibernateException is a RuntimeException but it isn't a RuntimeException in Hibernate2.0.All these Exception will be dealt with by spring aop.We will ues an interceptor to deal with all exceptions,so you can't find any try catch block in our codes.


That's all!
内容概要:本文围绕新一代传感器产品在汽车电子电气架构中的关键作用展开分析,重点探讨了智能汽车向高阶智能化演进背景下,传统传感器无法满足感知需求的问题。文章系统阐述了自动驾驶、智能座舱、电动化与网联化三大趋势对传感器技术提出的更高要求,并深入剖析了激光雷达、4D毫米波雷达和3D-ToF摄像头三类核心新型传感器的技术原理、性能优势与现存短板。激光雷达凭借高精度三维点云成为高阶智驾的“眼睛”,4D毫米波雷达通过增加高度维度提升环境感知能力,3D-ToF摄像头则在智能座舱中实现人体姿态识别与交互功能。文章还指出传感器正从单一数据采集向智能决策升级,强调车规级可靠性、多模态融合与成本控制是未来发展方向。; 适合人群:从事汽车电子、智能驾驶、传感器研发等相关领域的工程师和技术管理人员,具备一定专业背景的研发人员;; 使用场景及目标:①理解新一代传感器在智能汽车系统中的定位与技术差异;②掌握激光雷达、4D毫米波雷达、3D-ToF摄像头的核心参数、应用场景及选型依据;③为智能驾驶感知层设计、多传感器融合方案提供理论支持与技术参考; 阅读建议:建议结合实际项目需求对比各类传感器性能指标,关注其在复杂工况下的鲁棒性表现,并重视传感器与整车系统的集成适配问题,同时跟踪芯片化、固态化等技术演进趋势。
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