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Air Pollutionw Chartwchart Examples Process Of Semi Quantitave Method For Chemicals Risk Images Sources

Air Pollutionw Chartwchart Examples Process Of Semi Quantitave Method For Chemicals Risk Images Sources Pollution Flow Chart Circular

By Anthony Woollacott at November 28 2018 10:48:29

For the production of rice, the energy consuming equipments used include blowers, elevators, motors, boilers and steam distribution and many more. The efficiency of the product (rice) depends on the utilities maintained by the rice production mills such as electricity, air, water, labour, etc. Many of the rice plants in India and also in the different parts of the world adhere to several procedures for rice processing such as drying of rice, cleaning of rice, milling, whitening, polishing, grading, blending, sorting and packaging. There are different types of sorters and separators used for the rice to be free from any type of dust, fungal infections, plastic granules, unwanted grain, etc.

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.

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In mathematics, method of solving a problem by repeatedly using a simpler computational method. A basic example is the process of long division in arithmetic. The term algorithm is now applied to many kinds of problem solving that employ a mechanical sequence of steps, as in setting up a computer program. The sequence may be displayed in the form of a flowchart in order to make it easier to follow. As with algorithms used in arithmetic, algorithms for computers can range from simple to highly complex.

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.

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