Answer:
megapixel refers to the unit of resolution i.e. one million
Explanation:
Interestingly the higher the pixels does not mean higher quality of image, it's more about the camera and it's sensor.
I am a photographer and a licensed drone pilot and have researched the subject to help with camera choice, both DSLR and drone.
Answer:
Explanation:
In this exercise, you will roll a pair of dice until the numbers add up to a given number. You can assume that the given number is 2, 3, 6, or 12. Using pseudocode, write an algorithm that returns the number of times the dice is rolled to achieve this number.
Answer:
Explanation:
Following are the Semaphores:
Customers: Counts waiting customers;
Barbers: Number of idle barbers (0 or 1)
mutex: Used for mutual exclusion.
Cutting: Ensures that the barber won’t cut another customer’s hair before the previous customer leaves
Shared data variable:
count_cust: Counts waiting customers. ------------copy of customers. As value of semaphores can’t access directly.
// shared data
semaphore customers = 0; semaphore barbers = 0; semaphore cutting = 0; semaphore mutex = 1;
int count_cust= 0;
void barber() {
while(true) { //shop is always open
wait(customers); //sleep when there are no waiting customers
wait(mutex); //mutex for accessing customers1
count_cust= count_cust-1; //customer left
signal(barbers);
signal(mutex);
cut_hair();
}
}
void customer() {
wait(mutex); //mutex for accessing count_cust
if (count_cust< n) {
count_cust= count_cust+1; //new customer
signal(customers); signal(mutex);
wait(barbers); //wait for available barbers get_haircut();
}
else { //do nothing (leave) when all chairs are used. signal(mutex);
}
}
cut_hair(){ waiting(cutting);
}
get_haircut(){
get hair cut for some time; signal(cutting);
}
Answer:
In the context of cyber security, social engineering (SE) is a deceptive practice that exploits human <u>weaknesses </u> by inducing victims to interact with a digital device in a way that is not in their best interest. Many of these attacks begin with<u> spam</u> , which is defined as unsolicited messages that are usually sent in massive numbers using electronic mail systems. A spam <u>filter</u> uses a set of rules to examine email messages and determine which are spam. There are four common types of spam filters.<u> Content </u>filters examine the content within a message for certain words or phrases commonly used in spam emails.<u> Header</u> filters review the email header for falsified information, such as spoofed IP addresses. <u>Blacklist</u> filters block mail that originates from IP addresses of known spammers. <u>Permission </u> filters block or allow mail based on the sender's address. <u>Phishing</u> is an email scam that masquerades as a message from a(n) legitimate company or agency of authority, such as the IRS. <u>Pharming</u> redirects Web site traffic to fraudulent Web sites that distribute malware, collect personal data, sell counterfeit products, and perpetrate other scams. A rogue <u>antivirus </u> exploit usually begins with a virus warning and an offer to disinfect the infected device. Some software is not exactly malware, but it is a nuisance. A <u>PUA </u>takes up residence on a digital device and seems impossible to disable or remove.
