Most people will join Wikipedia and not have an ample amount of knowledge about writing before joining. They will soon realize that writing on the online site is not just a walk in the park. The job requires more out of you than you may think. Writing for this big online site is very fun and exciting, but it isn’t entirely an easy route to building your resume and portfolio. Wikipedia does not accept content that is anything less them what they expect out of their writers. It’s really that simple in the long run. This is why preparing for it and knowing how to create a Wiki page can pay off very well in the long run.
Understand Wikipedia And Their Rules
Writing for a personal client or creating a blog post is so much more different when in comparison to Wikipedia. They expect top of the line grammar, exquisite display of writing skills, and factual content. Read about their rules, go through their list of articles to get a flow for how they operate and work with their writers, and them join when you believe that you are ready.
Brush Up On Basic English
Believe it or not, basic English is tough to follow, and all you need is a better grasp of the English language to really succeed writing on Wikipedia. Ordinary people who understand the basics of the English language can achieve better looking articles that pass the requirements found by the editors on Wikipedia.
What most people are not aware of when they sign up to Wikipedia as a writer is that there are people who will personally watch out for your content. There are top tier level writers who will quickly glance over at your articles and edits to see if they reach the typical standards of a writer online. Wikipedia is very diligent on what they look out for before they let content stay on the webpages.
The expectations of what they look for in content are very strict, and sometimes your content will be removed. Before joining and signing up, practice creating content on your own. Write a biography about a certain public personality. You could even try practicing by writing out your own articles and comparing them to other content. It’ll help you see you what you need to work on in terms of your style since Wikipedia has a specific style that all writers must adhere to on every article and every edit made.
Image recognition is a technology that makes it possible to detect patterns on a digital photo. This means the software pinpoints certain characteristics in an image, sends them to a database where they are compared with other pictures. When most of the points match, the system knows what the input image is.
Computers connected to external device that captures images such as a camera can detect the exact image through this software. Recognizing means extracting data and information and processing it through codes and algorithms. Image recognition involves various processes that recognizes, identifies and detects the image. What is notable in this discussion is the wide array of methods for recognizing shapes for various applications. The tools uses lines, ridges and edges to extract features of an image. Corners, blobs and other features are also given consideration here. After detecting these features, they are compared with example pictures. In essence, there is a schematic of the information flowing from source to destination.
Image recognition technology has various uses not only for recognizing images of objects but faces of people in law enforcement agencies and government authorities as well. This facial recognition technology is used for purposes like user access verification, face identification as well as security. Other examples of where this technology can be used include reading bar codes, scanning product images and verifying image tags with the use of apps on smartphones.
Image processing basically works on the principle of detection. The information from the source is a signal which is hidden from a whole cluster of irrelevant data. The theory calls the data noise. The task is to relay the signal through this noise and detect the output. The appropriate information is obtained after searching through the database and comparing each of the elements with the original data. Overall, the time and resource needed to extract the right output depend on the amount of noise inside this data cluster. Nevertheless, image recognition is a technology that is starting to evolve for good. Major retailers are finding it useful and urging customers to use it.
Slyce Inc is a leading provider of image recognition software/tools to major retailers across Canada and the US. Based in Toronto, this company trades publicly on the TSX Venture Exchange market. The company has an excellent team of professionals for image recognition technology that helps clients identify products sent by customers through images.
In April of 2015 Skout app was released, also a massive earthquake struck Nepal, devastating the country. Many of Nepal’s inhabitants were forced to relocate and reduced to drastic life saving measures. This devastation even affected Nepal’s very own “Living Goddess”. More on this story can be found at Yahoo’s news site.
Dhana Kumari Bajracharya known as Kumaris, whom was enthroned at the age of two, was forced to leave the seclusion of her home. Not only has the goddess not been seen in public for three decades, but she has never been seen on foot. Any time the goddess makes a public appearance, she is carried on an ornate wooden palanquin.
The former Kumari speculates that this tragedy may be a result of angered gods, saying “”Perhaps the gods are angry because people don’t respect traditions as much anymore.”
Although Bajracharya is not the current Kumari for Nepal, she continues to live her life in seclusion, unable to abandon the ways she has grown accustomed to.