By Laura Cleland at November 09 2018 14:12:57
Current research in information processing deals with programs that enable a computer to understand written or spoken information and to produce summaries, answer specific questions, or redistribute information to users interested in specific areas of this information. Essential to such programs is the ability of the system to generate grammatically correct sentences and to establish linkages between words, ideas, and associations with other ideas. Research has shown that whereas the logic of language structure-its syntax-submits to programming, the problem of meaning, or semantics, lies far deeper, in the direction of true AI.
Flowcharts can be very useful for a technical writer. If you're working on a complex process, a flowchart can show you the various steps involved in that process. For example, you could be working on a manual on how to troubleshoot the Autopilot Flight Director system for the Boeing 747 aircraft. There are various steps involved in troubleshooting this system. Each step has multiple sub-steps. By creating a flowchart, you can quickly see which step takes place at what stage in the process.
This method seems to be the inefficient method as the chances or the profits to rise at the higher level often degrades. The marketing costs and the net returns tend to decrease that prevents the consumers from earning accountable outputs in time. Further, the latest and modern rice milling units make use of more efficient technology that hep them yield a large net return and the calculated costs become better for the large quantity of paddy. Roughly, we can say that capacity utilization using the modern methods is approximately 70% in comparison to the conventional methods used (approx. 45%). Rice is the staple food and is one of the man source among all the food grains.
All process instances are executed in a very similar way and it is easy to draw a flowchart detailing the sequence in which tasks are executed. It is also possible to formalize the business rules that guide decisions, normally based on the evaluation of some process variables. But recently other kinds of processes have caught the attention of process management specialists. They are known as knowledge processes, or knowledge-based processes. Knowledge processes can be defined as "high added value processes in which the achievement of goals is highly dependent on the skills, knowledge and experience of the people carrying them out". Some examples could be management, R&D, or new product development processes.