Answer:
One sheave means that you are using a single drum winder. They are the worst! Double drum winders control easier, brake better and are much more efficient. They save time ( two skips or cages) and can be clutched to perform faster shift transport. A single drum is slow, unbalanced and can be a nightmare if it trips out during hoisting. If the brake system is not perfect it can be a real hairy experience. For a runaway single drum, there is no counterbalance effect. It always runs to destruction. With a double drum, the driver still has a chance to control the winder to a certain extent and he has two sets of brakes to rely on. A single sheave could also mean a shaft with a single compartment. No second means of escape unless there are ladders or stairways. Not a very healthy situation.
Those are just a few points. I am sure much more can be said in favor of a double drum winder and two or more sheaves in the headgear. Most of the shafts I have worked at have multiple winders and up to ten compartments. They all have a small single drum service winder for emergencies and moves of personnel during shift times. They are referred to as the Mary - Annes. Apparently, the name originated in the U.K. where an aristocratic mine owner named the first such winder after his mistress.
Explanation:
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Answer:
Cloud
Explanation:
Cloud computing is a central form of storing data on a data center, provided online, to provides inexpensive and secure storage facilities and central accessing of document, using any device and accessing the data from anywhere and time.
Data stored in a clients computer system, would have to be transferred to another remote computer by using a portable storage, to share data. Using a cloud service or a database center service, a document can be accessed by a group of users at the same time, in different places, and assures a secure data in the database.
Gettier contributed to what we know about the exemplar model, while Rosch contributed to what we know about the prototype model. Prototype and exemplar theories are both versions of statistical theories of concepts. Prototype theories hold that concepts represent categories by means of a summary of the typical properties that category members possess, while exemplar theories hold that concepts represent categories by means of a cluster of individual category members that may be used to extract the statistical central tendency of the category.
