Three Main Classes Mac Protocols Channel Partitioning Random Access Token Ring Use Interne Q43865982

There are three main classes of MAC protocols: channelpartitioning, random access, and token ring. Use the Internetsearch to describe briefly (max 5 sentences) each of these MACprotocols.

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Answer to There are three main classes of MAC protocols: channel partitioning, random access, and token ring. Use the Internet sea…

Three Programs Serviced Multiprogramming System Program 1 Contains 50ms Computation Follow Q43902418

Three programs are serviced in a multiprogramming system.Program 1 contains 50ms of computation followed by 100ms of I/O ondevice 1. Program 2 contains 20ms of computation followed by 50msof I/O on device 1. Program 3 contains 50ms of computation followedby 100ms I/O on device 2. How long it will take to completeall
three programs? You should draw a diagram similar to the one givenin the lecture notes to show the operation of the three programs.(A device can service one I/O request
at a time.)

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Answer to Three programs are serviced in a multiprogramming system. Program 1 contains 50ms of computation followed by 100ms of I/…

Three Wireless Channels Set Company New Company Wireless Network Coming Operation Causing Q43855731

Three wireless channels are set up for a company. A new companyhas it own wireless network coming into operation causing networkinterference between your networks and theirs.

The three wireless channels with access points are representedby the purple bubbles. Where do the wireless channels need to bemoved on the above numbers to Minimize network interference by themaroon one (the one without the bar on it) w/ as little overlap aspossible for all wireless channels?

Submit Next GHz 2.462 2.412 2.417 2.422 2.427 2.432 2.437 2.442 2.447 2.452 2.457 2.467 2.472 Neighbouring wifi has been set up at 2.437 GHz Show transcribed image text Submit Next GHz 2.462 2.412 2.417 2.422 2.427 2.432 2.437 2.442 2.447 2.452 2.457 2.467 2.472 Neighbouring wifi has been set up at 2.437 GHz

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Answer to Three wireless channels are set up for a company. A new company has it own wireless network coming into operation causin…

Throughout Day Journalize Interactions Technology Particularly Use Phone Television Radio Q43855948

1. throughout the day, journalize about your interactions withtechnology, particularly the use of a phone, television, radio,tablet, laptop, or desktop.
2. If the technology interactions require network connectivity,record the general purposes of your technology interactions.
3. Review the types of networks in Chapter 6. Examples of networktypes are Cellular, Wi-Fi, Bluetooth, LAN, MAN, WAN, PAN, Cable,DSL, T1, Satellite, Fixed Wireless, Fiber to Premises, OpticalCarrier, Broadband over powerlines (BPL).
4. For each instance when you connected to a network, describe thetype of network or combined networks that carried yourcommunication. If you do not know the specific types of networksused, describe the networks to which you imagine you wereconnected. Explain your logic for indicating each type of networkas having supported your technology interaction.
5. Conclude whether or not, without the network connectivity, youcould have accomplished each task (described in #3) within the sameday.

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Answer to throughout the day, journalize about your interactions with technology, particularly the use of a phone, television, ra…

Throughout Unit Uses Text Files Organized Contain Record Like Information Since Many Datab Q43810866

1. Throughout the Unit, you will uses text files which areorganized to contain record-like information. Since many databasesare open source, and, therefore, free, provide rationale for why anorganization would use text files, rather than a relationaldatabase to store records.
2. Rank at least 3 (in terms to frequency of use) other uses arethere for text files.
3. Compare the security of a text to the security of a relationaldatabase. Assume that your organization has a network administratorwho is security-minded, and up-to-date on the topic.

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Answer to Throughout the Unit, you will uses text files which are organized to contain record-like information. Since many databa…

Thumbtack User Creates New Project Recommend Best Pros Job Based Metric Called Pro Matchin Q43805036

Complete the function below:

(Code in C++)

When a Thumbtack user creates a new project, we recommend the best Pros for the job based on a metric called the Pro Matching Score (PMS). This score is calculated using two factors the distance the Pro would have to travel to the job, and the Pro’s average rating. More specifically, PMS is defined as (max_distance – distance) + rating where max_distances the maximal distance that any Pro has from the given user. Naturally, a higher PMS means the Pro is a better match for the project You have an array that represents the Pros who are available to complete a new project for a user where each element of the array is a distance, rating] tuple distance is the distance of the Pro from the user’s project location, and rating is their overal rating Given the array pros for a specific project determine the kPros who are best suited to complete it based on their Pro Matching Score. Return a list of the indices (0-based) at which these Pros appeared in the original pros array, sorted by their PMS score. In the case of a PMS tie the Pro with the smaller index goes first Example For pros – [(5, 4], [4, 3), (6, 5), (3, 5]] and k = 2, the output should be bestPros(pros, k) = [3, 1]. The PMSs of the Pros are: • oth pro: (6 – 5) * 4 – 4 • 1st pro: (6 – 4) * 3 – 6 • 2nd pro: (6 – 6) * 5 – B; 3rd pro: (6 – 3) * 5 – 15. The output is [3, 1] since the Pros at indices 1 and 3 have the highest scores. Since pro[3] has a higher PMS than pro[1]. index 3 appears first in the array Input/Output • [execution time limit] 4 seconds (is) • [input] array array.integer pros An array of Pros. For each valid pros[1] contains two elements: pros(] ] is the distance of the 4th Pro from the user’s location and pros (1) is the Pro’s overall rating Guaranteed constraints: 1 s pros.lengths 184 1 spros[1]. Length – 2 1 spros[i][j] = 102 • [input) integer k The number of Pros who should be recommended to complete the user’s project. Guaranteed constraints: 1 sk s pros. Length (output) array.integer The indices of the k best Pros to complete the user’s project from the original pros array, sorted by their Pro Matching Score. In the case of a PMS tie the Pro with the smaller index goes first. If there are fewer than k suitable Pros, return all of them i > #include <bits/stdc++.h>… 11 * Complete the bestPros’ function below. * The function is expected to return an INTEGER_ARRAY. * The function accepts following parameters: + 1. 2D_INTEGER_ARRAY pros * 2. INTEGER K vector<int> bestPros(vector<vector<int>> pros, int k) { 20 21 } 22 > int main() … Show transcribed image text When a Thumbtack user creates a new project, we recommend the best Pros for the job based on a metric called the Pro Matching Score (PMS). This score is calculated using two factors the distance the Pro would have to travel to the job, and the Pro’s average rating. More specifically, PMS is defined as (max_distance – distance) + rating where max_distances the maximal distance that any Pro has from the given user. Naturally, a higher PMS means the Pro is a better match for the project You have an array that represents the Pros who are available to complete a new project for a user where each element of the array is a distance, rating] tuple distance is the distance of the Pro from the user’s project location, and rating is their overal rating Given the array pros for a specific project determine the kPros who are best suited to complete it based on their Pro Matching Score. Return a list of the indices (0-based) at which these Pros appeared in the original pros array, sorted by their PMS score. In the case of a PMS tie the Pro with the smaller index goes first Example For pros – [(5, 4], [4, 3), (6, 5), (3, 5]] and k = 2, the output should be bestPros(pros, k) = [3, 1]. The PMSs of the Pros are: • oth pro: (6 – 5) * 4 – 4 • 1st pro: (6 – 4) * 3 – 6 • 2nd pro: (6 – 6) * 5 – B; 3rd pro: (6 – 3) * 5 – 15. The output is [3, 1] since the Pros at indices 1 and 3 have the highest scores. Since pro[3] has a higher PMS than pro[1]. index 3 appears first in the array Input/Output • [execution time limit] 4 seconds (is) • [input] array array.integer pros An array of Pros. For each valid pros[1] contains two elements: pros(] ] is the distance of the 4th Pro from the user’s location and pros (1) is the Pro’s overall rating Guaranteed constraints: 1 s pros.lengths 184 1 spros[1]. Length – 2 1 spros[i][j] = 102 • [input) integer k The number of Pros who should be recommended to complete the user’s project.
Guaranteed constraints: 1 sk s pros. Length (output) array.integer The indices of the k best Pros to complete the user’s project from the original pros array, sorted by their Pro Matching Score. In the case of a PMS tie the Pro with the smaller index goes first. If there are fewer than k suitable Pros, return all of them
i > #include … 11 * Complete the bestPros’ function below. * The function is expected to return an INTEGER_ARRAY. * The function accepts following parameters: + 1. 2D_INTEGER_ARRAY pros * 2. INTEGER K vector bestPros(vector pros, int k) { 20 21 } 22 > int main() …

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Answer to When a Thumbtack user creates a new project, we recommend the best Pros for the job based on a metric called the Pro Mat…

Thumbtack User Creates New Project Recommend Best Pros Job Based Metric Called Pro Matchin Q43805435

Complete the function below:

Code in C++

When a Thumbtack user creates a new project, we recommend the best Pros for the job based on a metric called the Pro Matching Score (PMS). This score is calculated using two factors: the distance the Pro would have to travel to the job, and the Pro’s average rating. More specifically, PMS is defined as (max_distance – distance) * rating where max_distanceis the maximal distance that any Pro has from the given user. Naturally, a higher PMS means the Pro is a better match for the project. You have an array that represents the Pros who are available to complete a new project for a user, where each element of the array is a [distance, rating] tuple. distance is the distance of the Pro from the user’s project location, and rating is their overall rating. Given the array pros for a specific project, determine the kPros who are best suited to complete it, based on their Pro Matching Score. Return a list of the indices (0-based) at which these Pros appeared in the original pros array. sorted by their PMS score. In the case of a PMS tie, the Pro with the smaller index goes first. Example For pros = [[5, 4], [4, 3], [6, 5], [3, 5]] and k = 2, the output should be bestPros (pros, k) = [3, 1]. The PMSS of the Pros are: • sth pro: (6 – 5) * 4 – 4; • 1st pro: (6 – 4) * 3 – 6; • 2nd pro: (6 – 6) * 5 – 0; • 3rd pro: (6 – 3) * 5 – 15. The output is [3, 1] since the Pros at indices 1 and 3 have the highest scores. Since pro[3] has a higher PMS than pro [1], index 3 appears first in the array. Input/Output • [execution time limit] 4 seconds (js) • [input] array.array.integer pros An array of Pros. For each valid 1, pros(4] contains two elements: pros[i] [0] is the distance of the i th Pro from the user’s location and pros(i] [1] is the Pro’s overall rating. Guaranteed constraints: 1s pros. length s 184 1s pros[i).length – 2. 1s pros[i)) s 100. • [input] integer k The number of Pros who should be recommended to complete the user’s project. C……. ……in Guaranteed constraints: 1sks pros.length. [output] array.integer o The indices of the k best Pros to complete the user’s project from the original pros array, sorted by their Pro Matching Score. In the case of a PMS tie, the Pro with the smaller index goes first. If there are fewer than k suitable Pros, return all of them. 1 v #include <bits/stdc++.h> using namespace std; 4 string ltrim (const string &); string rtrim(const string &); vector<string> split(const string &); /* * Complete the ‘bestPros’ function below. 11 12 * The function is expected to return an INTEGER_ARRAY. * The function accepts following parameters: 1. 20_INTEGER_ARRAY pros * 2. INTEGER k */ 13 14 15 16 17 18 vector<int> bestPros (vector<vector<int>> pros, int k) { 19 20 21 22 > int main() Show transcribed image text When a Thumbtack user creates a new project, we recommend the best Pros for the job based on a metric called the Pro Matching Score (PMS). This score is calculated using two factors: the distance the Pro would have to travel to the job, and the Pro’s average rating. More specifically, PMS is defined as (max_distance – distance) * rating where max_distanceis the maximal distance that any Pro has from the given user. Naturally, a higher PMS means the Pro is a better match for the project. You have an array that represents the Pros who are available to complete a new project for a user, where each element of the array is a [distance, rating] tuple. distance is the distance of the Pro from the user’s project location, and rating is their overall rating. Given the array pros for a specific project, determine the kPros who are best suited to complete it, based on their Pro Matching Score. Return a list of the indices (0-based) at which these Pros appeared in the original pros array. sorted by their PMS score. In the case of a PMS tie, the Pro with the smaller index goes first. Example For pros = [[5, 4], [4, 3], [6, 5], [3, 5]] and k = 2, the output should be bestPros (pros, k) = [3, 1]. The PMSS of the Pros are: • sth pro: (6 – 5) * 4 – 4; • 1st pro: (6 – 4) * 3 – 6; • 2nd pro: (6 – 6) * 5 – 0; • 3rd pro: (6 – 3) * 5 – 15. The output is [3, 1] since the Pros at indices 1 and 3 have the highest scores. Since pro[3] has a higher PMS than pro [1], index 3 appears first in the array. Input/Output • [execution time limit] 4 seconds (js) • [input] array.array.integer pros An array of Pros. For each valid 1, pros(4] contains two elements: pros[i] [0] is the distance of the i th Pro from the user’s location and pros(i] [1] is the Pro’s overall rating. Guaranteed constraints: 1s pros. length s 184 1s pros[i).length – 2. 1s pros[i)) s 100. • [input] integer k The number of Pros who should be recommended to complete the user’s project. C……. ……in
Guaranteed constraints: 1sks pros.length. [output] array.integer o The indices of the k best Pros to complete the user’s project from the original pros array, sorted by their Pro Matching Score. In the case of a PMS tie, the Pro with the smaller index goes first. If there are fewer than k suitable Pros, return all of them.
1 v #include using namespace std; 4 string ltrim (const string &); string rtrim(const string &); vector split(const string &); /* * Complete the ‘bestPros’ function below. 11 12 * The function is expected to return an INTEGER_ARRAY. * The function accepts following parameters: 1. 20_INTEGER_ARRAY pros * 2. INTEGER k */ 13 14 15 16 17 18 vector bestPros (vector pros, int k) { 19 20 21 22 > int main()

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Answer to When a Thumbtack user creates a new project, we recommend the best Pros for the job based on a metric called the Pro Mat…

Thumbtack User Creates New Project Recommend Best Pros Job Based Metric Called Pro Matchin Q43805696

Complete the function below:

Code in C++

When a Thumbtack user creates a new project, we recommend the best Pros for the job based on a metric called the Pro Matching Score (PMS). This score is calculated using two factors the distance the Pro would have to travel to the job, and the Pro’s average rating. More specifically, PMS is defined as (max_distance – distance) + rating where max_distances the maximal distance that any Pro has from the given user. Naturally, a higher PMS means the Pro is a better match for the project You have an array that represents the Pros who are available to complete a new project for a user where each element of the array is a distance, rating] tuple distance is the distance of the Pro from the user’s project location, and rating is their overal rating Given the array pros for a specific project determine the kPros who are best suited to complete it based on their Pro Matching Score. Return a list of the indices (0-based) at which these Pros appeared in the original pros array, sorted by their PMS score. In the case of a PMS tie the Pro with the smaller index goes first Example For pros – [(5, 4], [4, 3), (6, 5), (3, 5]] and k = 2, the output should be bestPros(pros, k) = [3, 1]. The PMSs of the Pros are: • oth pro: (6 – 5) * 4 – 4 • 1st pro: (6 – 4) * 3 – 6 • 2nd pro: (6 – 6) * 5 – B; 3rd pro: (6 – 3) * 5 – 15. The output is [3, 1] since the Pros at indices 1 and 3 have the highest scores. Since pro[3] has a higher PMS than pro[1]. index 3 appears first in the array Input/Output • [execution time limit] 4 seconds (is) • [input] array array.integer pros An array of Pros. For each valid pros[1] contains two elements: pros(] ] is the distance of the 4th Pro from the user’s location and pros (1) is the Pro’s overall rating Guaranteed constraints: 1 s pros.lengths 184 1 spros[1]. Length – 2 1 spros[i][j] = 102 • [input) integer k The number of Pros who should be recommended to complete the user’s project. Guaranteed constraints: 1 sk s pros. Length (output) array.integer The indices of the k best Pros to complete the user’s project from the original pros array, sorted by their Pro Matching Score. In the case of a PMS tie the Pro with the smaller index goes first. If there are fewer than k suitable Pros, return all of them 1 v #include <bits/stdc++.h> 3 using namespace std; string Itrim(const string &); string rtrim(const string &); vector<string> split(const string &); * Complete the ‘bestPros’ function below. * The function is expected to return an INTEGER_ARRAY. * The function accepts following parameters: * 1. 2D_INTEGER_ARRAY pros * 2. INTEGER K 19 vector int> bestPros(vector<vector<int>> pros, int k) { 21 } 22 > int main() … Show transcribed image text When a Thumbtack user creates a new project, we recommend the best Pros for the job based on a metric called the Pro Matching Score (PMS). This score is calculated using two factors the distance the Pro would have to travel to the job, and the Pro’s average rating. More specifically, PMS is defined as (max_distance – distance) + rating where max_distances the maximal distance that any Pro has from the given user. Naturally, a higher PMS means the Pro is a better match for the project You have an array that represents the Pros who are available to complete a new project for a user where each element of the array is a distance, rating] tuple distance is the distance of the Pro from the user’s project location, and rating is their overal rating Given the array pros for a specific project determine the kPros who are best suited to complete it based on their Pro Matching Score. Return a list of the indices (0-based) at which these Pros appeared in the original pros array, sorted by their PMS score. In the case of a PMS tie the Pro with the smaller index goes first Example For pros – [(5, 4], [4, 3), (6, 5), (3, 5]] and k = 2, the output should be bestPros(pros, k) = [3, 1]. The PMSs of the Pros are: • oth pro: (6 – 5) * 4 – 4 • 1st pro: (6 – 4) * 3 – 6 • 2nd pro: (6 – 6) * 5 – B; 3rd pro: (6 – 3) * 5 – 15. The output is [3, 1] since the Pros at indices 1 and 3 have the highest scores. Since pro[3] has a higher PMS than pro[1]. index 3 appears first in the array Input/Output • [execution time limit] 4 seconds (is) • [input] array array.integer pros An array of Pros. For each valid pros[1] contains two elements: pros(] ] is the distance of the 4th Pro from the user’s location and pros (1) is the Pro’s overall rating Guaranteed constraints: 1 s pros.lengths 184 1 spros[1]. Length – 2 1 spros[i][j] = 102 • [input) integer k The number of Pros who should be recommended to complete the user’s project.
Guaranteed constraints: 1 sk s pros. Length (output) array.integer The indices of the k best Pros to complete the user’s project from the original pros array, sorted by their Pro Matching Score. In the case of a PMS tie the Pro with the smaller index goes first. If there are fewer than k suitable Pros, return all of them
1 v #include 3 using namespace std; string Itrim(const string &); string rtrim(const string &); vector split(const string &); * Complete the ‘bestPros’ function below. * The function is expected to return an INTEGER_ARRAY. * The function accepts following parameters: * 1. 2D_INTEGER_ARRAY pros * 2. INTEGER K 19 vector int> bestPros(vector pros, int k) { 21 } 22 > int main() …

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Answer to When a Thumbtack user creates a new project, we recommend the best Pros for the job based on a metric called the Pro Mat…

Thw Steering Comittee Technology Acquisition Include Reprensentative Organization S Leader Q43862223

whythw steering comittee for the technology acquisition should includereprensentative from the organization’s leadership, clinicians, ITPersonnel, administrators?

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Answer to why thw steering comittee for the technology acquisition should include reprensentative from the organization’s leadersh…

Ti 8 Execution Result Following Code Segment Suppose S Included Within Otherwise Correct P Q43808219

#TI* 8. The execution result for the following code segment (suppose it’s included within an otherwise correct program) int x2: String sup (x (15) sall:(x < 22)? “tiny”: “huge” System.out.println(sup); A. small B.tiny C. huge D. Compilation error 9. Which method in the following can NOT be defined within an interface? A. private int petAreas B. public float getVol(float x) C. public void main(String[] args) D. boolean dagBoolean 10. What’s the result when the following program is ee n import java.awt. import javax.swing.”; public class ButtonTest extends Frame public ButtonTest() { Button helloButton Button(“Hello”): JButton byebutton new JButton(“bye”); add(helloButton); add(byeButton); setSize(200, 100); setVisible(true); public static void main(String args[]) new ButtonTest(); A. A frame with two expanded buttons: Hello on the left and Bye on right B. A frame with only one expanded button Hello C. A frame with only one expanded button Bye D. A frame with two buttons on the top area: Hello and Bye Section B-READ AND ANSWER (35 marks) 1. Read the programs/fragments, and write the output. How may me the order and within otherwise correct program. (20 marks in total with 4 marks each) 1) public class Examples public static void main(String!] args) { int lay -4; for(int i = 1; 1 lay: f++){ for(int k = 1; k clay – f; k++) { Show transcribed image text #TI* 8. The execution result for the following code segment (suppose it’s included within an otherwise correct program) int x2: String sup (x (15) sall:(x

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Answer to #TI* 8. The execution result for the following code segment (suppose it’s included within an otherwise correct program) …