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What Is Electronic Civil Disobedience (ECD)?

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ECD is the way to go if you're looking for a new way to protest. Electronic civil disobedience (ECD) is any civil disobedience in which protesters or participants use information technology and the Internet to carry out their protests and actions. It's basically like regular civil disobedience, but it happens on the Internet instead of in person. You might think this sounds crazy—how could you possibly get away with protesting something by sitting at home and typing on your computer? Well, it's not only possible but also happening right now! There are tons of different types of ECDs happening all over the world right now. Some people are going online and calling their representatives directly, while others are sending emails or signing petitions online. Still, others are even sending faxes from their computers! These forms of electronic civil disobedience have been highly effective at getting people's messages across in a transparent manner that doesn't require much effort on their part (or anyone else's). Electronic civil disobedience is the new wave of disruptive yet non-violent protest. Electronic civil disobedience was first used in the Critical Arts Ensemble (CAE) writings, a collective of media artists and practitioners. In their 1996 text "Electronic Civil Disobedience: And Other Unpopular Ideas," they describe how they were inspired by Henry David Thoreau's 1848 text “Civil Disobedience”There's a reason why the CAE, who coined the term ECD, believe that it's essential for people to continue to engage in disruptive protests even when their actions are not illegal. They believe this will help disrupt those who would otherwise be able to use power to silence dissenters and oppress others. They also know that social media is the best way for people to know about this. You can help them spread the word by sharing this post with your friends and family!

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Related Terms by Surveillance

Sentiment Analysis

Sentiment analysis is a lot like having the ability to discern minds, except it's done with computers. Opinion mining is a data mining subfield that utilizes unstructured text analysis to gauge consumer sentiment toward a brand, individual, or concept. Sentiment analysis is a technique for gleaning emotional data from online sources using NLP, computational linguistics, and text analysis. Social media sites and other online forums where users post their thoughts and observations on various subjects are familiar places to find this data. Sentiment analysis uses complex algorithms and machine learning methods to identify a person's opinion's positive, negative, or neutral nature. As a bonus, it can determine whether the text is joyful, sad, angry, or anxious, as well as other emotions. The results of this analysis can be used to calculate the extent to which the public approves or disapproves of various brands, individuals, and concepts. Knowing the thoughts and preferences of customers can be invaluable to companies and organizations. A business may employ mood analysis to monitor customer feedback via social media and use the results to improve its offerings. The material's polarity in its context can also be revealed through sentiment analysis. It can tell you how people feel about a subject or entity and what it is about that subject or entity that people like or dislike. Sentiment analysis can show, for instance, that consumers have a generally positive attitude toward a given brand but a negative attitude toward its customer service. To sum up, sentiment analysis is a subfield of data mining that assesses consumer reaction to a brand, individual, or concept by examining written language. It's like having the ability to read thoughts, only this time, and it's accomplished through complex mathematical formulas stored in a computer. Sentiment analysis, or opinion mining, is a method for gleaning and analyzing biased data from online sources, such as social media and blogs. Data analysis can reveal the contextual polarity of information and provide quantitative estimates of the public's feelings or responses to specific goods, people, or ideas.

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Self-Provisioning

If you're like most people, you're always looking for ways to get out of work. So when we heard about self-provisioning—the ability to set up services and applications by yourself without the help of a dedicated IT specialist or service provider—we were all over it. It's like having your server, except that instead of having to buy your server, pay for its maintenance, and hire an IT person to manage it when things go wrong, you sign up with a cloud provider who has already done everything for you. Moreover, they'll even let you use their servers for free! So if you have ever wanted to launch your website but didn't want to take on the burden of managing it yourself, or if you've been dreaming of starting an online business but didn't want to spend all that money on servers and software licenses well, now's your chance! Self-provisioning is excellent, but the self-de-provisioning part is even more significant. Provisioning is like getting a massage—you know what you want and are in charge of getting it. Deprovisioning is like getting a haircut—it's a little more complicated than telling someone what to do. It requires much attention to detail and technical skill to ensure you're not cutting off any substantial parts of yourself in your zeal to be smooth and sleek. We don't want you to be soft and elegant! We want you to be well-groomed! So here are some tips for taking care of yourself by taking care of your resources. Always deprovision after using a resource so that others can use it when they need it later. Only do something once you've found another that does what that other one did for you (and then de-provision the old one).

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Secure Hash Algorithm (SHA)

Secure Hash Algorithm is a set of algorithms developed by the National Institutes of Standards and Technology and other government and private parties. Cryptographic hashes (or checksums) have been used for electronic signatures and file integrity for decades. However, these functions have evolved to address some of the cybersecurity challenges of the 21st century. The NIST has developed a set of secure hashing algorithms that act as a global framework for encryption and data management systems. The initial instance of the Secure hash Algorithm (SHA) was in 1993. It was a 16-bit hashing algorithm and is known as SHA-0. The successor to SHA-0, SHA-1, was released in 1995 and featured 32-bit hashing. Eventually, the next version of SHA was developed in 2002, and it is known as SHA-2. SHA-2 differs from its predecessors because it can generate hashes of different sizes. The whole family of secure hash algorithms goes by the name SHA. SHA-3, or Keccak or KECCAK, is a family of cryptographic hash functions designed by Guido Bertoni, Joan Daemen, Michaël Peeters, and Gilles Van Assche. SHA-3 competition to develop a new secure hash algorithm was held by the United States National Security Agency (NSA) in 2007. To be a super safe and fast hashing algorithm, SHA3 was developed from this contest. The evolution of cybersecurity has led to the development of several "secure hash algorithms." Security is a crucial concern for businesses and individuals in today's digital world. As a result, many types of encryption have been developed to protect data in various scenarios. One of these is hash algorithms. All secure hash algorithms are part of new encryption standards to keep sensitive data safe and prevent different types of attacks. These algorithms use advanced mathematical formulas so that anyone who tries to decode them will get an error message that they aren't expected in regular operation.

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Trending Definitions

Memory Refresh

Memory refresh is an essential subject in the field of computer science, as it is directly related to how data is stored and accessed by computers. So here goes: Imagine your computer's RAM as a large filing cabinet containing documents, photos, music, etc. Just like a real filing cabinet, your computer's memory can only contain so much before it gets congested and unorganized. At this point, memory refresh comes in handy. Memory refresh is essentially a technique for computers to "clean house" and ensure that the data that is stored in their memory remains current and well-organized. Memory refresh is also known as memory maintenance. This is accomplished by performing a routine scan of the memory at regular intervals to "refresh" or bring the information there up to date. Now we're getting into the more complicated part of the discussion: Memory refresh is often accomplished through the use of a method known as "dynamic random-access memory," or DRAM for short. DRAM data is constantly "rewritten" to prevent loss. The procedure is as follows: When you access data in computer memory, this same memory chip charges the data's transistor. This charge is what enables the data to be read and accessed in any necessary way. Over time, this charge can leak, leading the data to be "forgotten." To prevent something like this from occurring, the memory chip will regularly deliver a new charge to the transistor to refresh the data. This technique maintains your computer's memory fresh while you're using it. That wraps up our discussion, so consider this question answered! Memory refresh is an essential procedure that ensures that the storage space in your computer will continue to be effective and well-organized. Memory refresh and DRAM are both computer science terms.

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Bak File

Backups are the best. They're a great way to make sure you can recover your data if something goes wrong, and they're also just a good idea, in general, to make sure you have a copy of everything in case something happens to your computer or other devices. But what if you already have a backup? When should you keep the backup, and when should you delete it? How do you know whether or not your backup is still needed? The answer is simple: just look for .bak files! Many different software systems use these files for backups and duplicates of other files, so it's easy to tell if you've got one by looking at the extension of their filename. In the world of software, there's a standard format used by many different types of software systems. It's called Word, and it's just one of the many tools that we have in our toolbox. With Word, you can create documents that look great, are easy to read and understand, and can be distributed to others in all kinds of formats. .Bak files are a great way to back up your files, but they can have some drawbacks. When looking to back up your files, .bak files are a great option. But you should be aware of their imperfections, too. The most common problem with .bak files is that they lead to "hard drive bloat". This happens when there are so many duplicate files that it takes up too much storage space on your computer. Another issue is that users can't tell what type of file they are by looking at the name alone. That's why three-character extensions on files are unique for every single file format—it makes it easier to find what you need. Backup strategies that rely on generic names can make finding the suitable file difficult, especially if you don't know what kind of document or video it is or even if it's an executable program or something else entirely!

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Autonomous Things

Autonomous Things, or #AutonomousThings & AuT for short, are like robots that can think for themselves. They're machines that can sense their environment, make decisions, and take action without human intervention. Like how you can tell your robot vacuum cleaner to clean your room, Autonomous Things can be programmed to perform specific tasks. Some examples of Autonomous Things include self-driving cars, drones, and industrial robots. These machines are equipped with sensors, cameras, and other technologies that allow them to understand and navigate their surroundings. They also have rules or algorithms that dictate how they should behave in different situations. One of the main advantages of Autonomous Things is that they can operate 24/7 without getting tired or making mistakes. This makes them ideal for tasks that are dangerous or tedious for humans to perform, such as inspecting pipelines or exploring the deep sea. Additionally, Autonomous Things can collect and analyze large amounts of data, which can help decision-making and improve overall efficiency. However, they also present some concerns, including safety and security difficulties, privacy concerns, and ethical questions about their influence on jobs and society. These are only some of the problems that can be raised. For instance, a self-driving car needs to be able to make split-second judgments in the event of an emergency to guarantee the well-being of all its passengers and the safety of pedestrians and other motorists on the road. When autonomous items are connected to the internet, there is a potential for hacking and other cyberattacks, which raises concerns over data security. In short, #AutonomousThings are machines that can think for themselves, sense their environment, make decisions, and take actions without human intervention, such as self-driving cars, drones, and industrial robots. They have advantages such as operating 24/7, collecting and analyzing large amounts of data and being useful for dangerous or tedious tasks. However, they also raise some safety, security and ethical questions. #Autonomousvehicles #drones #industrialRobots

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