Answer:
ECC RAM
Explanation:
ECC RAM is the most popular Random Access Memory out there that is used by most business servers. Dealing with big data for most huge businesses is crucial. The need to prevent loss of data requires that they purchase ECC RAM. ECC RAM automatically protects the systems from potential errors that occur in memory. Any abrupt changes in temporary data stored in ECC RAM are automatically corrected. This is achieved by an additional memory chip that acts as error detection for the other eight RAM chips.
Answer: Employee privacy
Explanation:
Employers can electronically monitor property, computer and electronic devices under the their rights in the organization but there is issue of employee privacy. As, employee has the right to privacy in the organization or workplace.
In some organization phones and email address are provided by the company so that they can electronically monitor the employee properly. In this case, some employee feel that monitoring is the violation of their personal and privacy rights.
I'm not sure but maybe one of the two websites can help you
.
http://wiki.netbeans.org/MusicAppUsingRESTRemoting
https://mukeshscience.wordpress.com/2014/05/26/adding-audio-to-java/
Answer:
CDMA is sa station.
Explanation:
CDMA is basically a Code Division Multiple Access .It is assgned code that facilitates the signals or special coding scheme.It optimizes the use of bandwidth, It is used in a UHF and send data over entire bandwidth of channel.It send data without sharing of capacity of channel. Its ranges is between 800 MHz and 1.9 GHz
Implement the simulation of a biased 6-sided die which takes the values 1,2,3,4,5,6 with probabilities 1/8,1/12,1/8,1/12,1/12,1/
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Answer:
see explaination
Explanation:
import numpy as np
import matplotlib.pyplot as plt
a = [1, 2, 3, 4, 5, 6]
prob = [1.0/8.0, 1.0/12.0, 1.0/8.0, 1.0/12.0, 1.0/12.0, 1.0/2.0]
smls = 1000000
rolls = list(np.random.choice(a, smls, p=prob))
counts = [rolls.count(i) for i in a]
prob_exper = [float(counts[i])/1000000.0 for i in range(6)]
print("\nProbabilities from experiment : \n\n", prob_exper, end = "\n\n")
plt.hist(rolls)
plt.title("Histogram with counts")
plt.show()
check attachment output and histogram
