JSP & Servlet

本文详细阐述了网页、网站和Web应用的区别,并介绍了Web应用架构的组成部分,包括Web服务器、应用服务器和数据库服务器的工作原理。此外,还对比了几种常用的服务器端技术,如CGI、PHP、Ruby on Rails、Java (Servlets & JSP) 和 .NET 的特点及适用场景。

What’s the difference between
Web page
Web site
Web application
Web site is a collection of web page, application is something has logic determine what you get.

Web Application Architecture
Web Server
Manages requests and responses//It’s are about pages
Application Server
Application logic / data processing
Database Server
Data storage and manipulation

Client – Web App Interaction
1

2

the security we usually do on database server.

Server Side Technologies
Common Gateway Interface (CGI)
Very flexible
Application can be written in any language
Doesn’t scale well
PHP(&python)
Hypertext pre-processor
Embedded in HTML documents
Server plug-in
Scales well

write application in web page. every time request come in, it has run over.

Ruby on Rails
Pattern focussed reuse
MVC, JSON, XML
Doesn’t scale well

Rails is a framework of ruby.

Java
Servlets & JSP
Sophisticated
Java and servlet tools and frameworks
Portable
Runs in a servlet container on server
All web servers support technology
Scales well

seemly to php(php stolen), selrvlet can do a lot.

.NET
Very similar to servlets & JSP (ASP.NET)
Best support on IIS

should run on Microsoft server
JavaScript
AngularJS, Ember.js, …

3

jsp is complicate but useful.
php is simplify, easy to use, release server, effective for application.

Uniform Resource Locators

URL/URI
Uniform Resource Locator / Identifier

Uniform Resource Locator / Identifier
scheme:[//[user:password@]host[:port]][/]path[?query][#fragment]

HTTP Request Headers
Accept
Indicates MIME types browser can handle
Can send different content to different clients. For example, PNG files have good compression but are not widely supported in browsers. Could check to see if PNG is supported, sending
<IMG SRC="picture.png" ...> if it is supported, and <IMG SRC="picture.gif" ...> if not.
Warning: IE incorrectly sets this header when you hit the Refresh button. It sets it correctly on original request.
Accept-Encoding
Indicates encodings (e.g. gzip or compress) browser can handle.

Connection
In HTTP 1.0, keep-alive means browser can handle persistent connection. In HTTP 1.1, persistent connection is default. Persistent connections mean that the server can reuse the same socket for requests very close together from the same client (e.g. images associated with a page, or cells within a framed page).
Servlets can’t do this unilaterally
Give server enough info to permit persistent connections
Set Content-Length with setContentLength
using ByteArrayOutputStream to determine length of output
Cookie
Gives cookies previously sent to client.

基于TROPOMI高光谱遥感仪器获取的大气成分观测资料,本研究聚焦于大气污染物一氧化氮(NO₂)的空间分布与浓度定量反演问题。NO₂作为影响空气质量的关键指标,其精确监测对环境保护与大气科学研究具有显著价值。当前,利用卫星遥感数据结合先进算法实现NO₂浓度的高精度反演已成为该领域的重要研究方向。 本研究构建了一套以深度学习为核心的技术框架,整合了来自TROPOMI仪器的光谱辐射信息、观测几何参数以及辅助气象数据,形成多维度特征数据集。该数据集充分融合了不同来源的观测信息,为深入解析大气中NO₂的时空变化规律提供了数据基础,有助于提升反演模型的准确性与环境预测的可靠性。 在模型架构方面,项目设计了一种多分支神经网络,用于分别处理光谱特征与气象特征等多模态数据。各分支通过独立学习提取代表性特征,并在深层网络中进行特征融合,从而综合利用不同数据的互补信息,显著提高了NO₂浓度反演的整体精度。这种多源信息融合策略有效增强了模型对复杂大气环境的表征能力。 研究过程涵盖了系统的数据处理流程。前期预处理包括辐射定标、噪声抑制及数据标准化等步骤,以保障输入特征的质量与一致性;后期处理则涉及模型输出的物理量转换与结果验证,确保反演结果符合实际大气浓度范围,提升数据的实用价值。 此外,本研究进一步对不同功能区域(如城市建成区、工业带、郊区及自然背景区)的NO₂浓度分布进行了对比分析,揭示了人类活动与污染物空间格局的关联性。相关结论可为区域环境规划、污染管控政策的制定提供科学依据,助力大气环境治理与公共健康保护。 综上所述,本研究通过融合TROPOMI高光谱数据与多模态特征深度学习技术,发展了一套高效、准确的大气NO₂浓度遥感反演方法,不仅提升了卫星大气监测的技术水平,也为环境管理与决策支持提供了重要的技术工具。 资源来源于网络分享,仅用于学习交流使用,请勿用于商业,如有侵权请联系我删除!
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