Technology Daily - 2019/02/27

  • 2019/02/27
  1. 10 Instagram Tools to Grow Your Client’s Audience https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Fhackernoon.com%2F10-instagram-tools-to-grow-your-clients-audience-2f4e0c28dc48
  2. A Developer Roadmap to becoming a Node.js developer in 2019 https://github.com/aliyr/Nodejs-Developer-Roadmap
  3. Of Microservices & Containers:An enterprise’s guide to continuous delivery https://hackernoon.com/https-medium-com-spruha-pandya-of-microservices-containers-6f0ea25dac3
  4. OpenAI Text Generator - by Siraj Raval https://www.youtube.com/watch?v=0n95f-eqZdw
  5. Everything you need to know about Scatter Plots for Data Visualisation https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Feverything-you-need-to-know-about-scatter-plots-for-data-visualisation-924144c0bc5
  6. How to Handle Missing Data - by Alvira Swalin https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fhow-to-handle-missing-data-8646b18db0d4
  7. How to Make Your Machine Learning Models Robust to Outliers - by Alvira Swalin https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Fheartbeat.fritz.ai%2Fhow-to-make-your-machine-learning-models-robust-to-outliers-44d404067d07
  8. 150万疾病问答数据爬取 https://github.com/wdkwdkwdk/fuck_illness
  9. Redis作者Antirez:近期核心功能的一些思考和澄清 https://weibo.com/ttarticle/p/show?id=2309404344269837048352&sudaref=m.weibo.cn
  10. I Don’t Believe in Full-Stack Engineering https://robinrendle.com/notes/i-dont-believe-in-full-stack-engineering/?utm_source=wanqu.co&utm_campaign=Wanqu+Daily&utm_medium=website
  11. Microsoft Frontend Workshop from HTML/CSS/JS to TypeScript/React/Redux https://github.com/Microsoft/frontend-bootcamp
  12. We need more Interactive Data Visualization tools (for the Web) in Python - by Alark Joshi https://medium.com/@alark/we-need-more-interactive-data-visualization-tools-for-the-web-in-python-ad80ec3f440e
  13. 《Go2编程指南》开源图书,重点讲解Go2新特性,以及Go1教程中较少涉及的特性 https://chai2010.cn/go2-book/
  14. OpenKiwi - Open-Source Machine Translation Quality Estimation in PyTorch - by Unbabel https://github.com/Unbabel/OpenKiwi
  15. The case for the middle-aged entrepreneur https://venturebeat.com/2018/06/23/the-case-for-the-middle-aged-entrepreneur/?utm_source=wanqu.co&utm_campaign=Wanqu+Daily&utm_medium=website
  16. 史上最全!历年 CVPR 最佳论文盘点(2000 年——2018 年) https://www.leiphone.com/news/201902/C16aYGWRc5fjYqQ9.html
  17. 微软小冰对话机器人架构 https://zhuanlan.zhihu.com/p/57532328?utm_source=weibo&utm_medium=social&utm_content=snapshot&utm_oi=26774079537152
  18. 用Node + EJS写一个爬虫脚本每天定时女朋友发一封暖心邮件 https://juejin.im/post/5c75fa4af265da2d84109219
  19. Google Docs gets an API for task automation https://techcrunch.com/2019/02/11/google-docs-gets-an-api-for-task-automation/
  20. Evolution of Positioning Techniques in Cellular Networks, from 2G to 4G https://www.hindawi.com/journals/wcmc/2017/2315036/
  21. 用VueJS写一个Chrome浏览器插件 https://segmentfault.com/a/1190000018272959?utm_medium=hao.caibaojian.com&utm_source=hao.caibaojian.com&share_user=1030000000178452
  22. web前端性能优化总结 https://segmentfault.com/a/1190000018263418?utm_medium=hao.caibaojian.com&utm_source=hao.caibaojian.com&share_user=1030000000178452
  23. When each social media platform was generating its maximum buzz on Google https://www.reddit.com/r/dataisbeautiful/comments/auist1/when_each_social_media_platform_was_generating/
  24. [译]Go开发中一些有用的模式 https://colobu.com/2019/02/25/some-useful-patterns-in-go/?hmsr=toutiao.io&utm_medium=toutiao.io&utm_source=toutiao.io
  25. JS面试题之比较两个对象是否相等? https://segmentfault.com/a/1190000018266129?utm_medium=hao.caibaojian.com&utm_source=hao.caibaojian.com&share_user=1030000000178452
  26. 湾区25万 vs 国内100万? https://www.zhihu.com/question/278377623
  27. 面试题:在浏览器输入“ google.com ”后都发生了什么? https://weibo.com/ttarticle/p/show?id=2309404344379484577227
### 100 Gb/s Polarization Division Multiplexing Quadrature Phase Shift Keying Technology #### Overview of PDM-QPSK Polarization division multiplexing combined with quadrature phase shift keying (PDM-QPSK) is a modulation technique that significantly increases the transmission capacity over single-wavelength channels by utilizing both polarizations of light and advanced signal processing techniques. This method has become an industry standard due to its efficient bandwidth utilization and excellent interference resistance properties[^2]. The core principle behind QPSK involves dividing binary sequences into groups of two bits each, resulting in four distinct states represented by different phases of the carrier wave separated by π/2 radians. Each pair corresponds uniquely to one out of four possible initial phases on the carrier waveform, effectively converting the baseband information from binary form into quaternary format[^3]. When this scheme is further enhanced through polarization multiplexing, it allows simultaneous transmission along orthogonal axes within the same optical channel. #### System Architecture for Coherent Optical Communication at 100 Gb/s Using Optisystem Software To implement such high-speed communications systems operating at rates up to 100 gigabits per second using PDM-QPSK signaling requires sophisticated design considerations across multiple domains including optics, electronics, as well as digital signal processing algorithms implemented via software tools like MATLAB or specialized platforms designed specifically around photonic simulation environments such as OptiSystem: - **Transmitter Module**: Generates modulated signals based upon input data streams which are then split between X & Y axis before being encoded onto respective carriers. - **Transmission Medium**: Utilizes fiber optic cables optimized for minimal loss characteristics while supporting higher bitrates without significant degradation issues even over long distances exceeding thousands kilometers when paired appropriately alongside dispersion compensation methods where necessary. - **Receiver Unit**: Employs coherent detection schemes capable of demodulating complex multi-level formats efficiently; post-processing steps involve equalization followed by symbol decision making processes ultimately recovering original transmitted payload accurately despite potential impairments encountered during transit. ```matlab % Example Code Snippet Demonstrating Basic DSP Algorithm Implementation For Decoding Received Signal In Matlab Environment function decoded_bits = decode_pdm_qpsk(received_signal) % Perform synchronization and timing recovery here... % Equalize received symbols eq_symbols = equalizer_function(received_signal); % Demap constellation points back to bits decoded_bits = []; for k=1:length(eq_symbols)/2 idx_x = 2*k-1; idx_y = 2*k; point = [real(eq_symbols(idx_x)), imag(eq_symbols(idx_y))]; [~, nearest_idx] = min(sum((point - qpsk_constellation).^2)); decoded_bit_pair = degray_code(nearest_idx); %#ok<DEMG> decoded_bits = [decoded_bits ; num2str(decoded_bit_pair)-'0']; end end ``` #### Applications Within Information Technology Field In today's rapidly evolving technological landscape characterized by increasing demands placed upon network infrastructures supporting diverse applications ranging from cloud computing services down to consumer-grade entertainment offerings requiring ultra-low latency connections coupled together seamlessly – all these factors contribute towards driving forward advancements seen recently regarding deployment strategies surrounding next-generation passive optical networks (NG-PON). Specifically targeting residential broadband access solutions aiming beyond current standards set forth previously established under GPON specifications toward newer paradigms embodied now within proposals concerning 25G PON and eventually progressing onward reaching speeds potentially surpassing those offered currently available commercially viable options existing presently day-to-day operations conducted online daily basis worldwide scale[^4].
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