跟读练习: The Most Confused Concepts in Engineering - 通过视频学习英语口语
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Think back to the last time when you were searching something on Google.
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If you notice your browser bar, you may see something like this.
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If we look carefully, we can see that the spaces are actually replaced by person 20, and question mark is replaced by person 3f.
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The browser somehow transformed our query into something different.
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Why?
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Because the URLs are allowed to have only a limited number of characters, and in that character set, characters like space are not valid.
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but it still needs to be sent, and therefore it is converted into something that belongs to the allowed character set.
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This type of transformation of data from one form to another, for the purpose of storage or transmission, is called encoding.
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And similar to this, the data can be encoded to other forms as well.
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For example, the text hello can be converted into many different forms, for example binary, hexadecimal, or base64.
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The encoding is not only limited to transmitting data, but has other uses as well.
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For example, if you work on the front-end with CSS, you might have seen the color codes which have the RGB values.
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Those values are usually written in hexadecimal for its compact nature.
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In decimal, the same value would look like this.
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Similarly, in HTML, you may have seen the image stack to add images to your page, which refer to the URL where the image resides.
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While this is fine for large images, The lighter images can be directly embedded in the Base64 format via HTML or CSS to save a network call.
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The key point to understand here is that encoding is reversible.
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For example, anyone who sees person 20 can decode it back to a space.
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It's about data representation, not security.
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And speaking of security, let's talk a bit about hashing.
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Whenever you create an account online, your password is never stored in plain text.
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Instead, it's converted into a fixed-length string of characters, which could look like this.
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From this string alone, it is impossible to construct the original password again, and this type of transformation is possible by a process called hashing.
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Hashing is a process where you convert data into another irreversible form by the use of a hashing algorithm, which does some complex math behind the scenes to achieve this.
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So when you login, the password that you enter is hashed again and compared with the hash that exists in the system.
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If they are same, the login is successful.
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Hashing is defined by three main things.
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First, that it is one way.
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You can't reverse a hash to retrieve the original input.
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Second, it is deterministic.
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The same input always produces the same hash.
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And third, is that it is always of fixed length.
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So, no matter how long your password is, the hash always will be of the same size.
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Hashing is not only used in passwords, but it has other applications as well.
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For example, in file downloads.
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If the downloaded file is corrupt, its hash would be different from the original file.
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Whereas if the downloaded file is intact, its hash would be the same as original file.
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If you're intrigued by hashing, check out my deep dive video on what is hashing, to learn about different hashing algorithms and hash collisions.
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Now, what if you need that one-way transformation to be two-way, but only for some selected people or systems?
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That's where encryption comes in.
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Imagine that you have a top-secret document on your computer.
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Anyone with access to your machine can open and read it.
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Encryption provides a way to transform your document or data into a form
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that can only be reversed by the use of a key.
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So whoever holds the key can access the data.
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If someone tries to open it without the key, they'll only see gibberish.
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Let's take a simple example of encryption, one that dates back over 2000 years.
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Julius Caesar used a basic encryption technique to protect messages of military importance.
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It's now famously known as Caesar's cipher, or the shift cipher.
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The idea?
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Shift each letter of the message by a fixed number of positions in the alphabet.
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say 3.
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So if we take the word hello and shift each letter by 3, H becomes K, E becomes H,
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L becomes O, the next L also becomes O, and O becomes R.
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That gives us KHOOR.
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To anyone who intercepts this message without knowing the shift, it looks like gibberish.
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But if the recipient knows that each letter was shifted by 3, they can just reverse the shift and decrypt the message back to hello.
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This kind of encryption is laughably easy to crack today, especially with modern computers.
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But it beautifully illustrates the core idea.
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The message is only readable to someone who has the key.
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Modern encryption is, let's just say, a bit more advanced.
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Instead of the letter shifts, we now use complex mathematical algorithms that are designed to be unbreakable by brute force, at least with current computers.
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Quantum computing might change that, but that's a topic for another video.
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Take WhatsApp, for example.
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Every message that you send is encrypted on your device before it even leaves your phone.
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If someone tries to snoop on the network, all they see is garbled nonsense.
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Only the person that you are messaging with the matching decryption key can turn that noise back into actual words.
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That's encryption, locking your data in such a way that only the right key can unlock it.
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To put it all together, encoding is like translating data into another format so computers can store or transmit it properly.
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It's not about secrecy, it's about structure and readability.
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And yes, it is completely reversible.
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Some examples are UTF-8, binary, hexadecimal, and base64.
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Hashing takes your data and runs it through a special formula to create a unique, fixed-length code.
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This code doesn't reveal the original data, and you cannot convert it back.
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That's why it's perfect for safely storing passwords or checking if a file has been tampered with.
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If the data changes, the hash changes too.
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Encryption is about confidentiality.
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It transforms your data into something unreadable, but only temporarily.
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Because unlike hashing, encryption is reversible if and only if you have the right key.
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That's how secure messaging apps like WhatsApp protect your conversations even from their own servers.
关于本课
在本课中,您将学习关于数据转换的基本概念,包括编码、哈希和加密。通过回顾这些术语及其应用,您可以提高自己的英语理解能力,同时增强专业词汇。这些知识对于工程和计算机科学领域尤为重要。通过举例和简单的解释,您不仅会掌握基本概念,还可以在实际应用中使用这些知识。
关键词汇和短语
- 编码 (encoding):将数据转变为可存储或传输形式的过程。
- 哈希 (hashing):将数据转换为不可逆形式的一种方法。
- 加密 (encryption):将信息转换为只能通过密钥逆向解读的形式。
- 字符集 (character set):用于编写URL或其他文本的字符的集合。
- 十六进制 (hexadecimal):一种常用的数码表达方式,尤其在CSS中。
- 固定长度 (fixed length):哈希值的长度不受原始数据的影响,总是相同的。
- 密钥 (key):在加密中用于解码信息的重要信息。
- 错误检查 (error checking):验证下载文件是否完整的过程。
练习技巧
为了提高您的英语发音和听力理解,建议您进行英语影子跟读。在观看这段视频时,注意演讲者的语速和语调,按照以下步骤进行练习:
- 暂停并重复:每当您听到一个新的概念时,暂停视频并试着用英语复述它。这可以帮助您巩固理解。
- 关注语调:注意演讲者在关键点上的语调变化,如强调“哈希”或“加密”时的语气,这对于掌握英语的自然表达非常重要。
- 使用
看YouTube学英语的方法来练习:您可以反复观看相同的片段,直至对内容熟悉。 - 在视频播放速度上做调整:有时候,将速度调慢可以更清晰地听到发音,从而增强提高英语发音的能力。
- 定期保持练习:与您的学习伙伴合作使用这些技巧,形成shadowing site或shadow speech的能力,以便不断提升。
什么是跟读法?
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧,最初开发用于专业口译员的培训,并由多语言者Alexander Arguelles博士普及。这个方法简单而强大:您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同,跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性,语调,节奏,连读,听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。