By Anthony Woollacott at November 22 2018 18:23:29
In the Tell 'n' Show method of creating effective presentations, you tell you point, then you show it. So, each point requires some validation, some evidence. Which validation you choose may depend on your audience. Some people want hard data, others want to know what the competition is doing, and still others may want the advice of an expert. A story that conveys a poignant situation may be effective. Sometimes, all you need is an image to show what you're telling. If you say that the copier you sell fits on a small table, a photograph will suffice.
Rice is one of the most important food crop across the world that is processed in the rice milling plants with respect to the international standards keeping in mind the uniformity and the basic quality of the grain. There are different rice milling machinery and rice milling equipment used for the proper processing of rice and ensure its maximum processing capacity in less amount of time. The most important productional factor considered for its processing is the use of energy. Energy is one of the demanding items and the vital source to measure the cost of the finalized finished product.
What's a flowchart? A flowchart can be defined as a graphical representation of a sequence of operations or steps. In other words, it's an illustration of the various steps involved in a project or process. Typically, a flowchart consists of a number of boxes, arrows, and text that combine to form a sequence. Why create a flowchart? The purpose of a flowchart is to show the various steps of a process in a snapshot. By looking at the flowchart, the viewer should be able to identify the various steps involved in the process.
In medicine, programs have been developed that analyze the disease symptoms, medical history, and laboratory test results of a patient, and then suggest a diagnosis to the physician. The diagnostic program is an example of so-called expert systems-programs designed to perform tasks in specialized areas as a human would. Expert systems take computers a step beyond straightforward programming, being based on a technique called rule-based inference, in which preestablished rule systems are used to process the data. Despite their sophistication, systems still do not approach the complexity of true intelligent thought.