By Elizabeth Spain at September 22 2018 18:58:03
According to the U.S. Department of Labor, the average salary for technical writers is $60,380. Freelance technical writers can make from $30 to $70 per hour. The field of technical writing is like a golden city. It's filled with wealth, rewards and opportunities. After learning technical writing you can branch out into business writing, marketing writing and communications writing. All of these can become additional income streams. But to succeed you must learn how to market yourself to clients. You have to prove to them that you are an invaluable asset. That's where ProTech - Your Fast Track to Becoming a Successful Technical Writer can help. It's a technical writing course that does two equally important things :
For a technical writer a flowchart can be a very useful tool to illustrate various operations and processes. Before you start your next project, see if you can illustrate the process via a flowchart. It will make life easier for you and your manager or client. The end result will be a better project which is good for your target audience. Note: Microsoft Visio is a good software for creating flowcharts. If you can write a simple sentence in English and organize your thoughts then technical writing may be a rewarding field. You can easily make it a second income stream in your spare time.
Initially, the basic rice cultivation process requires the complete preparation for the technological projects and the set-up of the milling plant. Many layouts, specifications, selection of appropriate milling equipments and units are planned for the efficient running of the milling industry. Further the assessment reports are also prepared keeping in mind the benefits with the selection of experienced personnel. There are different types of methods used in the rice milling industries. In the earlier days, conventional methods were used for paddy processing using the steel hullers and the rice processing process mentioned in the above flowchart was carried out manually.
Many scientists remain doubtful that true AI can ever be developed. The operation of the human mind is still little understood, and computer design may remain essentially incapable of analogously duplicating those unknown, complex processes. Various routes are being used in the effort to reach the goal of true AI. One approach is to apply the concept of parallel processing-interlinked and concurrent computer operations. Another is to create networks of experimental computer chips, called silicon neurons, that mimic data-processing functions of brain cells. Using analog technology, the transistors in these chips emulate nerve-cell membranes in order to operate at the speed of neurons.