Two amazing web apps from Sina

本文介绍了Sina推出的两款优秀Web应用:Musina迷你音乐播放器和iStock股票报价页面。Musina提供合法且免费的音乐服务,具备快速连接速度及良好的用户体验;iStock则针对iPhone及iPod touch进行了定制化设计,支持设备旋转调整布局。

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Date: Wednesday, April 16 2008
Weather: Sunny

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Today I want to share two great web apps from Sina.

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Sina Musina Mini Player

Recently, I found almost every front page of Sina has a mini player at the bottom. I thought of is a benefit for sina pages only. But I found the official name for this amazing widget: Musina. Check it out at: http://music.sina.com.cn/musina.shtml

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If your browser support javascript and flash, you can see it right at this page. It is small, dynamic, elaborate and cool. Whenever I want to have some noise, I could simply enter the name of any song or artist. Then the music will be available right away.

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The best part is, these music are totally legal. Sina has signed copyright contracts with four major record companies to play right. You don't have to feel guilty for digital music pirating. It's free and legal.

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Another nice part of this widget is the high connection speed. I have no idea how Many servers they have, yet the speed is terrific! I can even replace my winamp and foobar, if I would have a broadband connection always. But guess what? China is testing its own 3G technology right now. We could have a broadband in hand in the near future. As long as I could get online, this widget will rock my life.

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For sure, this widget has something stops me from using it too much: the lack of support for Lastfm. Lastfm is a social music tool and basically it records all tracks you've played and share this data with your friends. The more tracks you play, the more accurate it recommends the music for you. Since what I played can not be recognized by Lastfm, I won't use it too much. Life is short, don't waste.

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Anyway, Musina is a great widget. Chinese people still have no idea of legally buying music online. It is good they could start with listening without pirating. I hope Sina could sell digital music as soon as possible:)

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Sina iStock

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Another great web app from Sina is the iStock, if I could name it as that. My colleague send me a link and ask me to browse it on my iPod touch. I have to say I'm shocked. If you have an iPhone or iPod touch, click on this link to try out: http://finance.sina.com.cn/i.html

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Can you believe that? It's a stock quotation page customized for your iPhone!

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I don't know whose idea it is. But surely it rocks. Although there won't be as many visitors as ordinary pages have, this small page will attract iPhone owners in China, at least the stock holders. According to China Mobile, there were over 400,000 iPhones running in their network in January 2008. It is not a small number. If these people feel good on this product, they could be Sina's loyal visitor in the future.

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Now I have one more bookmark on my iPod touch. I have one more place to hang out when I finish reading my feeds on Google Reader:)

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I'm also interested in the rotating skills they used in the iStock page. When you rotate the device, the layout will change.

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If you browse it with a portrait mode, it will show you with the latest news on the stock symbol. When you changed your iPhone or iPod touch into landscape mode, the detailed stock info, price and graph will show. What a nice idea!

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To be straight, I thought sina won't be an innovation center before. But after today, I have confident that sina will always surprise me with it amazing products. What else can I say? I will make more friends from the development team:) They are the source and magician for these cool toys.

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Go Sina, Go!

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ps.
I am currently employed by sina. But this blog is totally personal.

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ps2.
写英文Blog完全是因为我的iPod Touch没有中文输入法,同时我的台式PC没有开机,我的Eee PC没有电了。

提供了基于BP(Back Propagation)神经网络结合PID(比例-积分-微分)控制策略的Simulink仿真模型。该模型旨在实现对杨艺所著论文《基于S函数的BP神经网络PID控制器及Simulink仿真》中的理论进行实践验证。在Matlab 2016b环境下开发,经过测试,确保能够正常运行,适合学习和研究神经网络在控制系统中的应用。 特点 集成BP神经网络:模型中集成了BP神经网络用于提升PID控制器的性能,使之能更好地适应复杂控制环境。 PID控制优化:利用神经网络的自学习能力,对传统的PID控制算法进行了智能调整,提高控制精度和稳定性。 S函数应用:展示了如何在Simulink中通过S函数嵌入MATLAB代码,实现BP神经网络的定制化逻辑。 兼容性说明:虽然开发于Matlab 2016b,但理论上兼容后续版本,可能会需要调整少量配置以适配不同版本的Matlab。 使用指南 环境要求:确保你的电脑上安装有Matlab 2016b或更高版本。 模型加载: 下载本仓库到本地。 在Matlab中打开.slx文件。 运行仿真: 调整模型参数前,请先熟悉各模块功能和输入输出设置。 运行整个模型,观察控制效果。 参数调整: 用户可以自由调节神经网络的层数、节点数以及PID控制器的参数,探索不同的控制性能。 学习和修改: 通过阅读模型中的注释和查阅相关文献,加深对BP神经网络与PID控制结合的理解。 如需修改S函数内的MATLAB代码,建议有一定的MATLAB编程基础。
在分析或下载 `webtwo.pcap` 文件时,通常涉及以下步骤和资源: ### 分析 pcap 文件的工具与方法 Wireshark 是目前最常用的网络数据包分析工具之一,支持多种捕获格式如 `.pcap`, `.cap`, `.dmp` 等[^2]。使用 Wireshark 打开 `webtwo.pcap` 后,可以执行如下操作: - 查看协议分布、会话统计信息。 - 使用显示过滤器(Display Filter)筛选特定流量,例如 `http.request.method == "POST"`。 - 跟踪 TCP/UDP 流量以还原完整的通信过程。 - 导出特定对象(如 HTTP 请求中的文件)。 若需自动化处理,可借助 Python 的 `scapy` 或 `pyshark` 库进行脚本化分析。 ### 获取 pcap 文件的方法 对于 `webtwo.pcap` 这类具体命名的数据包,如果没有直接来源,则可通过以下方式获取类似测试用例: 1. 从公开的样本库中下载包含 `.pcap` 文件的安全事件集合。 2. 利用沙箱服务(如 Hybrid-Analysis 或 ANY.RUN)执行恶意软件后导出通信流量记录[^3]。 3. 使用命令行工具如 `wget` 或 `curl` 从已知的数据集批量抓取,参考以下结构化的下载命令示例[^1]: ```bash wget -e robots=off -nc -r -H -l 1 --accept=cap,pcap,pcapng,CAP https://www.wireshark.org/download/automated/captures/ ``` ### 示例:使用 Scapy 读取 pcap 文件并统计 HTTP 请求数量 ```python from scapy.all import rdpcap, TCP # 加载 pcap 文件 packets = rdpcap('webtwo.pcap') # 统计 HTTP 请求次数 http_count = sum(1 for pkt in packets if pkt.haslayer(TCP) and pkt[TCP].dport == 80) print(f"HTTP 请求总数: {http_count}") ``` ###
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