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Affichage des articles dont le libellé est Generation. Afficher tous les articles
Affichage des articles dont le libellé est Generation. Afficher tous les articles

Is the Digital Generation Going to Be Smarter or Dumber?

What do you think of the title question? We must strive to strike a balance for our new generation. Read on to know what I mean.
The children of the new generation learn to play video games or use the computer at an early age, whereas we fail to use twenty years or even the thirties. Naturally, they are more useful and smarter than us.
Play, surf or use social media in ipads, TABs, laptop or computers are a piece of cake for the kids of our generation. However, if you are sitting in front of them all the time, his eyes riveted on them all day, damaging your eyesight and becoming unhealthy.
So we have to talk to the children about compromise. Play and use digital devices for only an hour or two a day. You have to do your homework and study and play in the mud and dirt as well. You must aim for balance. One day, whatever you educate better and makes you smarter instead of staying inactive with digital devices all day, making you more stupid.
We must eliminate the dependence of our children on digital devices. And they understand how to speak heart to heart. And explain the damage they do themselves. We must take responsibility for the way we engage in all kinds of activities. Only then will our children learn and become more intelligent.
As I said, we must strive for balance. When our children break this balance, they injure themselves and become more stupid.
Well, as I said, parents can show the children of the digital generation how to fight this balance. And then only can become more intelligent.
All children need to be a nerd or deactivated. There will be something there. But most children can learn to spend time once learned to do it effectively.
Children need to spend time with their family, participate in conversations with adults and friends, attend birthday parties and play in a park, in addition to manipulating digital devices. If the parents assume this responsibility, the children will surely be great intelligent children.
Strive only for that balance, dear father. And you will see grow up smart, age grace and still be even smarter as they grew up. So, matter, you did not bring your children to life for nothing. You need to educate them appropriately and then only our new digital generation is limited and elegantly embellished in good health.

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Random Number Generation

Random numbers are used in many places. The appearance of the sounds of nature, the bus run time from the same stops, travel time between home and the office every day, the variable load of each month, predicting the flip of a coin when he threw up, predict the sum of two sides of a given when lifting. All these phenomena have a certain degree of randomness.
The random numbers are generated in the sequence numbers that can not be predicted. For example, if the equation of a variable Y = X + 5 * 4 X can be completely predicted from random numbers Y. occur between 0 and 1 and are perfectly normal distribution.


For example, when produced in a large number of random numbers occur equally between 0 and 1 on the Gaussian curve. That is to say between 0 and 0.1 would have the same amount of numbers between 0.8 and 0.9. Random numbers are required in the simulation studies such as the simulation of driving time between two locations, simulating a pair of dice, simulating. There are many different types of random number generators the most important is the linear congruence generator.
These numbers are generated when they have to respond to numerous tests defined for the frequency statistics, etc. normally, but the numbers generated by many generators are pseudo-random. It is very important to use random numbers perfect to analyze systems using discrete event simulation models so we can get replicas of the simulation models are statistically independent. These are also generated using the sounds of nature and other natural phenomena.
random random variables can also be generated using these numbers. These random value may be uniform, Fish, etc. normal, in this case, would be required to generate the distribution function, for example, a number such as "time to wake up in the morning" may vary from 5:30 to 9: am 12. In the case where there is a likelihood equal to wake up at any time 05: 30-09h00, then wake up time can be given that the wake-up time 5:30 = 210 + r * r is a number between 0 and 1.
Now if you realize in the above equation if r is generated uniformly between 0 and 1, the time of awakening vary uniformly 5: 30-9 and thirties. But the r distribution is not normal, then you might find several r values ​​generated between 0.4 and 0.5, for example, 0.9 to 1. Thus, when the act of awakening is a simulation find several data values ​​between 6:54 ET 7:15 produce a false inference or false conclusion that the simulation model. It is therefore very important to use a generator that produces normally distributed data.
The author is a master double scientific research in the ISE and IT. He worked for many years in leading companies of IT services.


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