Using MIS (9th Edition)
9th Edition
ISBN: 9780134106786
Author: David M. Kroenke, Randall J. Boyle
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Expert Solution & Answer
Chapter 4.8, Problem 4.2ARQ
Explanation of Solution
New hardware affects the competitive strategies:
Generally, organizations get quite interested to use new hardware for their revenue generation based on potential opportunities or threats.
Internet of Things (IoT):
Internet of Things is a design where objects are linked with internet for interaction purposes. That is, interact with “devices”, “services”, or “applications”.
- Each and every day objects are embedded with hardware that used for “sensing”, “processing”, and “transmitting” data.
- Then objects are linked with internet to share the data with any other application, device, or service.
Smart device:
Smart device is a device which is added with extra features such as more processing power, more memory, Wi-Fi connectivity, net access, and so on.
Reason to use the smart devices:
- Nowadays, smart devices are essential. Because it is added with extra features such as more processing power, more memory, Wi-Fi connectivity, net access, and so on.
- People have started using smart phone much more than before.
- It helps to change the way of business operations.
- Business need to enhance the existing revenue with the help of smart devices.
Examples of how businesses could profit from smart device:
- One example is business from General Electric’s (GE) industrial internet.
- GE industrial internet is the broad plan which mainly focused to create the smart devices, investigating the data from these devices, and making changes to increase efficiencies, minimize the waste, and to enhance the decision making.
- The industry experiences huge profit by using smart devices in hospitals, railroads, power grids, and so on.
- Another example is business from Microsoft.
- Microsoft industry also made tremendous profits with the help of smart devices.
- The engineers from Microsoft were capable to minimize the energy cost and increase the profits.
Difference between AR, MR, and VR:
| AR (Augmented reality) | MR (Mixed reality) | VR (Virtual reality) |
| AR is changing of reality by covering the digital information on real-world objects. | MR is the mixture of real physical world with interactive virtual pictures or objects. | VR is the fully computer-generated virtual world with interactive digital objects. |
| It is used to interact with real world to make suggestions. | It is used for training and gaming technology. | It is used to train the medical staff and military purpose. |
| Headset helps to improve the experiences such as adding extra characters in game. | Headset helps to walk about its own surrounding and then feel it... |
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
The Horse table has the following columns:
ID - integer, auto increment, primary key
RegisteredName - variable-length string
Breed - variable-length string
Height - decimal number
BirthDate - date
Delete the following rows:
Horse with ID 5
All horses with breed Holsteiner or Paint
All horses born before March 13, 2013
To confirm that the deletes are correct, add the SELECT * FROM HORSE; statement.
Why is Linux popular? What would make someone choose a Linux OS over others? What makes a server? How is a server different from a workstation? What considerations do you have to keep in mind when choosing between physical, hybrid, or virtual server and what are the reasons to choose a virtual installation over the other options?
Objective you will:
1. Implement a Binary Search Tree (BST) from scratch, including the Big Five (Rule of Five)
2. Implement the TreeSort algorithm using a in-order traversal to store sorted elements in a vector.
3. Compare the performance of TreeSort with C++'s std::sort on large datasets.
Part 1: Understanding TreeSort How TreeSort Works TreeSort is a comparison-based sorting algorithm that leverages a Binary Search Tree (BST):
1. Insert all elements into a BST (logically sorting them).
2. Traverse the BST in-order to extract elements in sorted order.
3. Store the sorted elements in a vector.
Time Complexity
Operation Average Case Worst Case (Unbalanced Tree)Insertion 0(1log n) 0 (n)Traversal (Pre-order) 0(n) 0 (n)Overall Complexity 0(n log n) 0(n^2) (degenerated tree)
Note: To improve performance, you could use a…
Chapter 4 Solutions
Using MIS (9th Edition)
Ch. 4.4 - Prob. 1NFCSCh. 4.4 - Prob. 2NFCSCh. 4.4 - Prob. 3NFCSCh. 4.4 - Prob. 4NFCSCh. 4.4 - Prob. 5NFCSCh. 4.4 - Prob. 6NFCSCh. 4.6 - Prob. 1EGDQCh. 4.6 - Prob. 3EGDQCh. 4.6 - Prob. 4EGDQCh. 4.8 - Prob. 1SGDQ
Ch. 4.8 - Prob. 2SGDQCh. 4.8 - Prob. 3SGDQCh. 4.8 - Prob. 4SGDQCh. 4.8 - Prob. 5SGDQCh. 4.8 - Prob. 6SGDQCh. 4.8 - Prob. 1KUTSCh. 4.8 - Prob. 2KUTSCh. 4.8 - Prob. 3KUTSCh. 4.8 - Prob. 4KUTSCh. 4.8 - Prob. 4.1ARQCh. 4.8 - Prob. 4.2ARQCh. 4.8 - Prob. 4.3ARQCh. 4.8 - Prob. 4.4ARQCh. 4.8 - Prob. 4.5ARQCh. 4.8 - Prob. 4.6ARQCh. 4.8 - Prob. 4.7ARQCh. 4.8 - Prob. 4.8ARQCh. 4 - Prob. 4.1UYKCh. 4 - Prob. 4.2UYKCh. 4 - Prob. 4.3UYKCh. 4 - Prob. 4.4UYKCh. 4 - Prob. 4.5UYKCh. 4 - Prob. 4.6UYKCh. 4 - Prob. 4.7CE4Ch. 4 - Prob. 4.8CE4Ch. 4 - Prob. 4.9CE4Ch. 4 - Prob. 4.10CE4Ch. 4 - Prob. 4.11CE4Ch. 4 - Prob. 4.12CS4Ch. 4 - Prob. 4.13CS4Ch. 4 - Prob. 4.14CS4Ch. 4 - Prob. 4.15CS4Ch. 4 - Prob. 4.16CS4Ch. 4 - Prob. 4.17MMLCh. 4 - Prob. 4.18MML
Knowledge Booster
Similar questions
- I need help fixing the minor issue where the text isn't in the proper place, and to ensure that the frequency cutoff is at the right place. My code: % Define frequency range for the plot f = logspace(1, 5, 500); % Frequency range from 10 Hz to 100 kHz w = 2 * pi * f; % Angular frequency % Parameters for the filters - let's adjust these to get more reasonable cutoffs R = 1e3; % Resistance in ohms (1 kΩ) C = 1e-6; % Capacitance in farads (1 μF) % For bandpass, we need appropriate L value for desired cutoffs L = 0.1; % Inductance in henries - adjusted for better bandpass response % Calculate cutoff frequencies first to verify they're in desired range f_cutoff_RC = 1 / (2 * pi * R * C); f_resonance = 1 / (2 * pi * sqrt(L * C)); Q_factor = (1/R) * sqrt(L/C); f_lower_cutoff = f_resonance / (sqrt(1 + 1/(4*Q_factor^2)) + 1/(2*Q_factor)); f_upper_cutoff = f_resonance / (sqrt(1 + 1/(4*Q_factor^2)) - 1/(2*Q_factor)); % Transfer functions % Low-pass filter (RC) H_low = 1 ./ (1 + 1i * w *…arrow_forwardMy code is experincing minor issue where the text isn't in the proper place, and to ensure that the frequency cutoff is at the right place. My code: % Define frequency range for the plot f = logspace(1, 5, 500); % Frequency range from 10 Hz to 100 kHz w = 2 * pi * f; % Angular frequency % Parameters for the filters - let's adjust these to get more reasonable cutoffs R = 1e3; % Resistance in ohms (1 kΩ) C = 1e-6; % Capacitance in farads (1 μF) % For bandpass, we need appropriate L value for desired cutoffs L = 0.1; % Inductance in henries - adjusted for better bandpass response % Calculate cutoff frequencies first to verify they're in desired range f_cutoff_RC = 1 / (2 * pi * R * C); f_resonance = 1 / (2 * pi * sqrt(L * C)); Q_factor = (1/R) * sqrt(L/C); f_lower_cutoff = f_resonance / (sqrt(1 + 1/(4*Q_factor^2)) + 1/(2*Q_factor)); f_upper_cutoff = f_resonance / (sqrt(1 + 1/(4*Q_factor^2)) - 1/(2*Q_factor)); % Transfer functions % Low-pass filter (RC) H_low = 1 ./ (1 + 1i * w *…arrow_forwardI would like to know the main features about the following three concepts: 1. Default forwarded 2. WINS Server 3. IP Security (IPSec).arrow_forward
- map the following ER diagram into a relational database schema diagram. you should take into account all the constraints in the ER diagram. Underline the primary key of each relation, and show each foreign key as a directed arrow from the referencing attributes (s) to the referenced relation. NOTE: Need relational database schema diagramarrow_forwardWhat is business intelligence? Share the Business intelligence (BI) tools you have used and explain what types of decisions you made.arrow_forwardI need help fixing the minor issue where the text isn't in the proper place, and to ensure that the frequency cutoff is at the right place. My code: % Define frequency range for the plot f = logspace(1, 5, 500); % Frequency range from 10 Hz to 100 kHz w = 2 * pi * f; % Angular frequency % Parameters for the filters - let's adjust these to get more reasonable cutoffs R = 1e3; % Resistance in ohms (1 kΩ) C = 1e-6; % Capacitance in farads (1 μF) % For bandpass, we need appropriate L value for desired cutoffs L = 0.1; % Inductance in henries - adjusted for better bandpass response % Calculate cutoff frequencies first to verify they're in desired range f_cutoff_RC = 1 / (2 * pi * R * C); f_resonance = 1 / (2 * pi * sqrt(L * C)); Q_factor = (1/R) * sqrt(L/C); f_lower_cutoff = f_resonance / (sqrt(1 + 1/(4*Q_factor^2)) + 1/(2*Q_factor)); f_upper_cutoff = f_resonance / (sqrt(1 + 1/(4*Q_factor^2)) - 1/(2*Q_factor)); % Transfer functions % Low-pass filter (RC) H_low = 1 ./ (1 + 1i * w *…arrow_forward
- Task 3. i) Compare your results from Tasks 1 and 2. j) Repeat Tasks 1 and 2 for 500 and 5,000 elements. k) Summarize run-time results in the following table: Time/size n String StringBuilder 50 500 5,000arrow_forwardCan you please solve this without AIarrow_forward1. Create a Vehicle.java file. Implement the public Vehicle and Car classes in Vehicle.java, including all the variables and methods in the UMLS. Vehicle - make: String model: String -year: int + Vehicle(String make, String, model, int, year) + getMake(): String + setMake(String make): void + getModel(): String + setModel(String model): void + getYear(): int + set Year(int year): void +toString(): String Car - numDoors: int + numberOfCar: int + Car(String make, String, model, int, year, int numDoors) + getNumDoors(): int + setNumDoors (int num Doors): void + toString(): String 2. Create a CarTest.java file. Implement a public CarTest class with a main method. In the main method, create one Car object and print the object using System.out.println(). Then, print the numberOfCar. Your printing result must follow the example output: make Toyota, model=Camry, year=2022 numDoors=4 1 Hint: You need to modify the toString methods in the Car class and Vehicle class!arrow_forward
- CHATGPT GAVE ME WRONG ANSWER PLEASE HELParrow_forwardHELP CHAT GPT GAVE ME WRONG ANSWER Consider the following implementation of a container that will be used in a concurrent environment. The container is supposed to be used like an indexed array, but provide thread-safe access to elements. struct concurrent_container { // Assume it’s called for any new instance soon before it’s ever used void concurrent_container() { init_mutex(&lock); } ~concurrent_container() { destroy_mutex(&lock); } // Returns element by its index. int get(int index) { lock.acquire(); if (index < 0 || index >= size) { return -1; } int result = data[index]; lock.release(); return result; } // Sets element by its index. void set(int index, int value) { lock.acquire(); if (index < 0 || index >= size) { resize(size); } data[index] = value; lock.release(); } // Extend maximum capacity of the…arrow_forwardWrite a C program using embedded assembler in which you use your own function to multiply by two without using the product. Tip: Just remember that multiplying by two in binary means shifting the number one place to the left. You can use the sample program from the previous exercise as a basis, which increments a variable. Just replace the INC instruction with SHL.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Database System ConceptsComputer ScienceISBN:9780078022159Author:Abraham Silberschatz Professor, Henry F. Korth, S. SudarshanPublisher:McGraw-Hill Education
Starting Out with Python (4th Edition)Computer ScienceISBN:9780134444321Author:Tony GaddisPublisher:PEARSON
Digital Fundamentals (11th Edition)Computer ScienceISBN:9780132737968Author:Thomas L. FloydPublisher:PEARSON
C How to Program (8th Edition)Computer ScienceISBN:9780133976892Author:Paul J. Deitel, Harvey DeitelPublisher:PEARSON
Database Systems: Design, Implementation, & Manag...Computer ScienceISBN:9781337627900Author:Carlos Coronel, Steven MorrisPublisher:Cengage Learning
Programmable Logic ControllersComputer ScienceISBN:9780073373843Author:Frank D. PetruzellaPublisher:McGraw-Hill Education
Database System Concepts
Computer Science
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:McGraw-Hill Education
Starting Out with Python (4th Edition)
Computer Science
ISBN:9780134444321
Author:Tony Gaddis
Publisher:PEARSON
Digital Fundamentals (11th Edition)
Computer Science
ISBN:9780132737968
Author:Thomas L. Floyd
Publisher:PEARSON
C How to Program (8th Edition)
Computer Science
ISBN:9780133976892
Author:Paul J. Deitel, Harvey Deitel
Publisher:PEARSON
Database Systems: Design, Implementation, & Manag...
Computer Science
ISBN:9781337627900
Author:Carlos Coronel, Steven Morris
Publisher:Cengage Learning
Programmable Logic Controllers
Computer Science
ISBN:9780073373843
Author:Frank D. Petruzella
Publisher:McGraw-Hill Education