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  • Management Question

    • The Assignment must be submitted on Blackboard (WORD format only) via allocated folder.
    • Assignments submitted through email will not be accepted.
    • Students are advised to make their work clear and well presented; marks may be reduced for poor presentation. This includes filling your information on the cover page.
    • Students must mention question number clearly in their answer.
    • Late submission will NOT be accepted.
    • Avoid plagiarism, the work should be in your own words, copying from students or other resources without proper referencing will result in ZERO marks. No exceptions.
    • All answered must be typed using Times New Roman (size 12, double-spaced) font. No pictures containing text will be accepted and will be considered plagiarism).
    • Submissions without this cover page will NOT be accepted.
    • the case study at page 77

    Requirements: as request in each question

  • Real-Time Object Recognition with CNNs

    Summary

    This assignment is an individual work. Every student will independently design and implement a real-time object recognition system using OpenCV and PyTorch. The aim is to build a system that captures live video frames from a laptop camera, automatically recognizes four chosen object categories, and overlays the recognized object as a subtitle on the video stream. The categories can be any e.g., shoes, pens, cards, bottles, etc.

    Students will collect their own image datasets, train and test different CNN models, and compare results across three strategies: (1) baseline CNN trained from scratch on the dataset collected, (2) CNN with data augmentation, and (3) transfer learning with a pre-trained network.

    Deliverables include:

    • All Python code files (separate scripts for: i) data collection (a .py file), ii) model training and evaluation (a notebook (.ipynb file) including the code and outputs (plots and printed evaluation results)), iii) real-time application (.py file))
    • Final trained model file (.pt or .pth file (best model only) that can be loaded with torch.load())
    • A brief written report (PDF, Maximum word limit 2000)
    • A short demonstration video of the real-time application (using the best model only)

    Submission: Submit as a PDF file via Forum. Include links to various artifacts (e.g., video) on the first page of the report. You can put artifacts on Google drive. Make sure that the link is accessible.

    Section 1: Data Collection and Preprocessing

    Objective: Create and prepare a dataset for CNN training.

    Steps/Questions:

    • Write an OpenCV script to capture and store frames from your laptop camera.
      • The script should automatically create a directory and save frames as image files. (Note: You may need to grant camera permissions by running your code in terminal: $python your_script.py)
    • Collect 35 images per object category for four distinct objects. It is advised to collect more (2x) and then manually filter out samples that have problems (such as those not containing the object, containing artifacts like blur or other type of noise)
    • Split data into training, validation, and test sets (20, 5, 10).

    Section 2: Model selection

    Objective: Define three CNN-based approaches for comparison.

    Steps/Tasks:

    -** Model 1: Baseline CNN: **Implement and train a CNN model from scratch using your dataset.

    • Model 2: Data Augmented CNN: Retrain the same CNN using data augmentation techniques (rotation, flips, brightness adjustments, etc.).
    • Model 3: Transfer Learning: Choose a pre-trained model (e.g., MobileNetV2, ResNet18) and fine-tune it on your dataset. Use a relatively small model suitable for limited data and your laptop resources. Note that you may not be able to run on your computer the large models you train on colab.

    IMPORTANT: You should avoid using YOLO object detection models! The models used should be lightweight CNN models.

    Section 3: Model Training and Hyperparameter Tuning

    Objective: Train and optimize models using PyTorch.

    Steps/Tasks:

    • Implement a PyTorch training loop with clear code comments.
    • Train each of the three models using appropriate hyperparameters.
    • Explore hyperparameter variations (learning rate, batch size, optimizer choice).
    • Record training and validation performance (create learning curves).
    • Identify which hyperparameters have the biggest effect on performance.
    • Everything done (e.g., hyper parameter tuning) should be reflected in the report e.g., via graphs.

    Section 4: Model Evaluation

    Objective: Evaluate model performance on unseen test data.

    Steps/Questions:

    • Evaluate all three models on the test set.
    • Report accuracy, precision, recall, and confusion matrix for each model using proper visualizations
    • Compare performance results across the three models and explain differences.

    Section 5: Real-Time Demonstration

    Objective: Deploy the best-performing model in a real-time OpenCV application.

    Steps/Tasks:

    • Implement an application script using OpenCV that:
    • Captures real-time video feed.
    • Runs inference using the selected CNN model.
    • Displays the recognized object name as a subtitle on the video.
    • For an object outside the 4 categories, the model should predict “Other”
    • Record a short video demo (1-2 minutes) of your application running with different objects. (you may use the screen recording function of QuickTime Player). You must include yourself in the video too. Please discuss with your instructor in case you have any challenge in this part.

    Section 6: Conclusions

    Objective: Reflect on results, insights, and limitations.

    Questions:

    • Show key results via graphs and charts
    • Which of the three approaches performed best? Why?
    • What challenges did you face during dataset collection and training?
    • Link the concepts you used in this assignment to respective lessons from the course. Include a table for this part

    Section 7: Technical Interviews

    After the submission of assignment, each student will give a technical interview to the instructor. In the interview, the student will explain how he/she executed this assignment. The instructor will ask questions from the student to assess students’ understanding of the assignment.

    Word limit: Max 2500

    Grading dimensions

    The following components will be considered for assessment:

    1. Dataset collection, quality, and preprocessing
    2. CNN model design and training implementation (including hyper parameter tuning)
    3. Evaluation and comparison of three models
    4. Functionality of real-time object recognition system
    5. Code quality, report clarity, and demonstration video

    IMPORTANT: Students are expected to develop a good understanding of the content of their work and be able to answer the instructors questions during viva. This will be considered part of the assessment and reflected in their grades.

    Assignment Information

    Weight:

    15%

    Learning Outcomes Added

    • : Explain the fundamentals of deep learning, including motivation, problem formulation, and architectures.
    • : Apply and evaluate the design and implementation of deep learning architectures and techniques.
    • : Recognize and critically analyze deep learning methods for different types of learning tasks across various domains.

    Requirements: 2000 | Python

  • Pysics

    Homework Bundle #4

    Due: 11:59pm on Sunday, February 8, 2026

    You will receive no credit for items you complete after the assignment is due. Grading Policy

    Problem 4.4

    Two forces act on an object at rest as shown in .

    Part A

    Add a third force that results in a net force of zero.

    Draw the vector starting at the black dot. The location, orientation, and length of the vector will be graded. You can move the vectors F

    1

    and F

    2

    to construct the required vector, but be sure to return them into their initial positions before submitting the answer.

    ANSWER:

    Select the elements from the list and add them to the canvas setting the appropriate attributes.

    Select to observe the list of the elements that can be added to the canvas. Press CTRL+Y to get to the elements on the canvas. Press CTRL+Q to quit the application.

    Select to show/hide the vector for the sum of the drawn vectors. Press CTRL+Y to get to the elements on the canvas. Press CTRL+Q to quit the application.

    Delete the selected element. Press CTRL+Y to get to the elements on the canvas. Press CTRL+Q to quit the application.

    Press to go to keyboard navigation instructions below the canvas.

    Select to remove all drawn elements. Press CTRL+Y to get to the elements on the canvas. Press CTRL+Q to quit the application.

    Attributes panel is empty. Press CTRL+Y to get to the elements on the canvas. Press CTRL+M to return to the main menu. Press CTRL+Q to quit the application.

    No elements selected

    Press TAB to go to the next element. There is an image on the canvas: Two vectors start from a black dot. Vector F subscript 1 points horizontally to the left. Vector F subscript 2 points vertically upward. F subscript 1 is longer than F subscript 2.

    F

    1

    F

    2

    Select the elements from the list and add them to the canvas setting the appropriate attributes. Press TAB to get to the main menu.

    Use arrow keys to apply parallel transition to the object. Press TAB to move to the next element on the canvas. Press SHIFT+TAB to return to selecting the end point. Press DEL to delete the element from the canvas. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press ESC to quit adding or editing this element. Press CTRL+Q to quit the application.

    Press SPACE to get to the set of hotspots or use arrow keys to move on the canvas. Press ESC to quit adding or editing this element. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press CTRL+Q to quit the application.

    Press SPACE to get to the set of hotspots or use arrow keys to move on the canvas. Press TAB to select the whole element. Press SHIFT+TAB to move to selecting the start point. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press ESC to quit adding or editing this element. Press CTRL+Q to quit the application.

    Press TAB to move to the next element on the canvas. Press DEL to delete the element from the canvas. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press ESC to quit adding or editing this element. Press CTRL+Q to quit the application.

    Press SPACE to get to the set of hotspots or use arrow keys to move on the canvas. Press ENTER to change the direction. Press TAB to move to the next element on the canvas. Press DEL to delete the element from the canvas. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press ESC to quit adding or editing this element. Press CTRL+Q to quit the application.

    Problem 4.8

    You’re exploring a cave. Standing in a low cavern, you steady yourself by pushing straight up on the rock ceiling.

    Part A

    Draw a free-body diagram of yourself.

    Draw the vectors starting at the black dot. The location and orientation of the vectors will be graded. The length of the vectors will not be graded.

    ANSWER:

    Select the elements from the list and add them to the canvas setting the appropriate attributes.

    Select to observe the list of the elements that can be added to the canvas. Press CTRL+Y to get to the elements on the canvas. Press CTRL+Q to quit the application.

    Select to show/hide the vector for the sum of the drawn vectors. Press CTRL+Y to get to the elements on the canvas. Press CTRL+Q to quit the application.

    Delete the selected element. Press CTRL+Y to get to the elements on the canvas. Press CTRL+Q to quit the application.

    Press to go to keyboard navigation instructions below the canvas.

    Select to remove all drawn elements. Press CTRL+Y to get to the elements on the canvas. Press CTRL+Q to quit the application.

    Attributes panel is empty. Press CTRL+Y to get to the elements on the canvas. Press CTRL+M to return to the main menu. Press CTRL+Q to quit the application.

    No elements selected

    Select the elements from the list and add them to the canvas setting the appropriate attributes. Press CTRL+M to get to the main menu. There is an image on the canvas: The black dot

    Select the elements from the list and add them to the canvas setting the appropriate attributes. Press TAB to get to the main menu.

    Use arrow keys to apply parallel transition to the object. Press TAB to move to the next element on the canvas. Press SHIFT+TAB to return to selecting the end point. Press DEL to delete the element from the canvas. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press ESC to quit adding or editing this element. Press CTRL+Q to quit the application.

    Press SPACE to get to the set of hotspots or use arrow keys to move on the canvas. Press ESC to quit adding or editing this element. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press CTRL+Q to quit the application.

    Press SPACE to get to the set of hotspots or use arrow keys to move on the canvas. Press TAB to select the whole element. Press SHIFT+TAB to move to selecting the start point. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press ESC to quit adding or editing this element. Press CTRL+Q to quit the application.

    Press TAB to move to the next element on the canvas. Press DEL to delete the element from the canvas. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press ESC to quit adding or editing this element. Press CTRL+Q to quit the application.

    Press SPACE to get to the set of hotspots or use arrow keys to move on the canvas. Press ENTER to change the direction. Press TAB to move to the next element on the canvas. Press DEL to delete the element from the canvas. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press ESC to quit adding or editing this element. Press CTRL+Q to quit the application.

    Problem 4.11 – Enhanced – with Video Tutor Solution

    A skier is sliding down a 15

    slope. Friction is not negligible.

    Part A

    Identify the forces on the skier.

    Check all that apply.

    ANSWER:

    Weight w

    Kinetic friction f

    k

    Normal force n

    Thrust F

    thrust

    Tension T

    Static friction f

    s

    Problem 4.14

    A constant force applied to object A causes it to accelerate at 5 m/s

    2

    . The same force applied to object B causes an acceleration of 3 m/s

    2

    . Applied to object C, it causes an acceleration of 7 m/s

    2

    .

    Part A

    Which object has the largest mass?

    ANSWER:

    ABC

    Part B

    Which object has the smallest mass?

    ANSWER:

    ABC

    Part C

    What is the ratio of mass A to mass B?

    ANSWER:

    m

    A

    m

    B

    =

    Problem 4.22 – Enhanced – with Feedback

    In a crash test, a car is driven into a solid wall at a speed of 35 mph

    . shows the car’s acceleration as it crashes into the wall.

    Part A

    What is the maximum force experienced by the 1890kg

    car?

    Express your answer with the appropriate units.

    ANSWER:

    F

    max

    =

    Problem 4.25 – Enhanced – with Feedback

    A 55 kg

    ice skater is gliding along at 3.5 m/s

    . Five seconds later her speed has dropped to 2.9m/s

    .

    Part A

    What is the magnitude of the kinetic friction acting on her skates?

    Express your answer with the appropriate units.

    ANSWER:

    F

    =

    Problem 4.33 – Enhanced – with Video Tutor Solution

    Your car is accelerating to the right from a stop.

    For the steps and strategies involved in solving a similar problem, you may view a .

    Part A

    Identify all forces acting on the object and draw the free-body diagram.

    Draw the vectors starting at the black dot. The location and orientation of the vectors will be graded. The exact length of your vectors will not be graded but the relative length of one to the other will be graded.

    ANSWER:

    Select the elements from the list and add them to the canvas setting the appropriate attributes.

    Select to observe the list of the elements that can be added to the canvas. Press CTRL+Y to get to the elements on the canvas. Press CTRL+Q to quit the application.

    Select to show/hide the vector for the sum of the drawn vectors. Press CTRL+Y to get to the elements on the canvas. Press CTRL+Q to quit the application.

    Delete the selected element. Press CTRL+Y to get to the elements on the canvas. Press CTRL+Q to quit the application.

    Press to go to keyboard navigation instructions below the canvas.

    Select to remove all drawn elements. Press CTRL+Y to get to the elements on the canvas. Press CTRL+Q to quit the application.

    Attributes panel is empty. Press CTRL+Y to get to the elements on the canvas. Press CTRL+M to return to the main menu. Press CTRL+Q to quit the application.

    No elements selected

    Select the elements from the list and add them to the canvas setting the appropriate attributes. Press CTRL+M to get to the main menu. There is an image on the canvas: The black dot

    Select the elements from the list and add them to the canvas setting the appropriate attributes. Press TAB to get to the main menu.

    Use arrow keys to apply parallel transition to the object. Press TAB to move to the next element on the canvas. Press SHIFT+TAB to return to selecting the end point. Press DEL to delete the element from the canvas. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press ESC to quit adding or editing this element. Press CTRL+Q to quit the application.

    Press SPACE to get to the set of hotspots or use arrow keys to move on the canvas. Press ESC to quit adding or editing this element. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press CTRL+Q to quit the application.

    Press SPACE to get to the set of hotspots or use arrow keys to move on the canvas. Press TAB to select the whole element. Press SHIFT+TAB to move to selecting the start point. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press ESC to quit adding or editing this element. Press CTRL+Q to quit the application.

    Press TAB to move to the next element on the canvas. Press DEL to delete the element from the canvas. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press ESC to quit adding or editing this element. Press CTRL+Q to quit the application.

    Press SPACE to get to the set of hotspots or use arrow keys to move on the canvas. Press ENTER to change the direction. Press TAB to move to the next element on the canvas. Press DEL to delete the element from the canvas. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press ESC to quit adding or editing this element. Press CTRL+Q to quit the application.

    Problem 4.36

    An ascending elevator, hanging from a cable, is coming to a stop.

    Part A

    Identify all forces acting on the elevator from the list below.

    Select all that apply.

    ANSWER:

    WeightNormal forceStatic frictionTensionKinetic friction

    Part B Complete previous part(s)

    Problem 4.45 – Enhanced – with Feedback

    A car is skidding to a stop on a level stretch of road.

    Part A

    Identify the number of the action/reaction pairs of forces between the car and the road surface.

    ANSWER:

    1 pair2 pairs3 pairsNo acting pairs of forces

    Part B Complete previous part(s)

    Problem 4.43 – Enhanced – with Feedback

    Three ice skaters, numbered 1, 2, and 3, stand in a line, each with her hands on the shoulders of the skater in front. Skater 3, at the rear, pushes forward on skater 2. Assume the ice is frictionless.

    Part A

    Draw a freebody diagram for skater 2, in the middle.

    Draw the vectors starting at the black dot. The location and orientation of the vectors will be graded. The length of the vectors will not be graded.

    ANSWER:

    Select the elements from the list and add them to the canvas setting the appropriate attributes.

    Select to observe the list of the elements that can be added to the canvas. Press CTRL+Y to get to the elements on the canvas. Press CTRL+Q to quit the application.

    Select to show/hide the vector for the sum of the drawn vectors. Press CTRL+Y to get to the elements on the canvas. Press CTRL+Q to quit the application.

    Delete the selected element. Press CTRL+Y to get to the elements on the canvas. Press CTRL+Q to quit the application.

    Press to go to keyboard navigation instructions below the canvas.

    Select to remove all drawn elements. Press CTRL+Y to get to the elements on the canvas. Press CTRL+Q to quit the application.

    Attributes panel is empty. Press CTRL+Y to get to the elements on the canvas. Press CTRL+M to return to the main menu. Press CTRL+Q to quit the application.

    No elements selected

    Select the elements from the list and add them to the canvas setting the appropriate attributes. Press CTRL+M to get to the main menu. There is an image on the canvas: The black dot

    Select the elements from the list and add them to the canvas setting the appropriate attributes. Press TAB to get to the main menu.

    Use arrow keys to apply parallel transition to the object. Press TAB to move to the next element on the canvas. Press SHIFT+TAB to return to selecting the end point. Press DEL to delete the element from the canvas. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press ESC to quit adding or editing this element. Press CTRL+Q to quit the application.

    Press SPACE to get to the set of hotspots or use arrow keys to move on the canvas. Press ESC to quit adding or editing this element. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press CTRL+Q to quit the application.

    Press SPACE to get to the set of hotspots or use arrow keys to move on the canvas. Press TAB to select the whole element. Press SHIFT+TAB to move to selecting the start point. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press ESC to quit adding or editing this element. Press CTRL+Q to quit the application.

    Press TAB to move to the next element on the canvas. Press DEL to delete the element from the canvas. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press ESC to quit adding or editing this element. Press CTRL+Q to quit the application.

    Press SPACE to get to the set of hotspots or use arrow keys to move on the canvas. Press ENTER to change the direction. Press TAB to move to the next element on the canvas. Press DEL to delete the element from the canvas. Press CTRL+A to modify the attributes. Press CTRL+M to get to the main menu. Press ESC to quit adding or editing this element. Press CTRL+Q to quit the application.

    Score Summary:

    Your score on this assignment is 0.0%.

  • Unit 6: Discussion – Stakeholders and Barriers

    Although you will not implement your project during this course, it is important that you understand the various steps that are necessary to do so. As you begin to formulate your strategic plan for implementing your change project, discuss the following specific to your proposed project.

    Consider these questions as if the proposed interventions were being implemented in your facility:

    • Who are the stakeholders within your organization? Please identify them by role or job within the organization, not by name.
    • Who are the champions or people within your organization that you can convert to champions?
    • What potential barriers do you foresee specific to your organization and group project?
    • What strategies do you envision to prevent or overcome these barriers?

    Please be sure to validate your opinions and ideas with citations and references.

  • Need edit as picture attached

    All requirement in the attached

    similarity should less than 10%

    Requirements: 1 day

  • Bibliography

    Using my attached paper and the topic paper outline and rubric create my bibliography

    Attached Files (PDF/DOCX): The_Impact_of_Backwards_Design-17699701647656767 2.docx, Course Project – Annotated Bibliography Grading Rubric.pdf, Course Project Annotated Bibliography Sources 1 8 Example.docx, Synthesis Table Final Draft_Final Paper Headings other than Related Literature.docx, Course Project Annotated Bibliography Sources 1 8 Assignment Instructions.docx, Sythesis Table Final Draft Final Paper Related Literature Section.docx

    Note: Content extraction from these files is restricted, please review them manually.

  • Submit the following:

    • A 1- to 2-paragraph background/summary of the business problem.
    • A 2-sentence problem statement for your selected doctoral study topic that includes the following four elements:
    1. The specific business problem
    2. Purpose of the research, that includes the research method (qualitative, quantitative, or mixed methods)
      1. For quantitative and mixed methods, independent/predictor and dependent variables
    3. Research design (i.e., case study, phenomenological, quasi-experimental, correlational, etc.)
    4. The population

    In addition to your problem statement, include 35 scholarly, peer-reviewedor government sources to support your statement.

    Refer to the Week 11 Assignment Rubric for specific grading elements and criteria. Your Instructor will use this rubric to assess and grade your Assignment. Please Note: For each page of your paper, you must include APA-formatted, peer-reviewed, scholarly citations

    Requirements: 6 Pages

  • 4-1 Journal: Behavioral Economics

    is based on Australian data, but the challenges of combating chronic disease there are similar to the challenges present in the United States. Read the case carefully and consider the list of main considerations those working in the preventative health space could think about when developing programs, policies or interventions to change behaviors listed on page five. Address the following questions:

    • Which of these cues do you consider to have the most impact in terms of changing healthcare behaviors of the patient?
    • Which of these cues would you most readily respond to as a patient?
    • Which cues do you think are most likely to be adopted by providers and insurance companies?

    Support your responses with examples from your own experience, the case, or references to the textbook or other scholarly sources.

    Use the journal as an opportunity to familiarize yourself with the final project requirements and case study. Journal activities in this course are private between you and your instructor. Only the instructor can view and comment on your assignments.

    What to Submit

    Your journal assignment should be 2 to 4 paragraphs in length. Submit assignment as a Word document with double spacing, 12- point Times New Roman font, and one-inch margins.

  • Develop outline

    Using my attached paper create a planning outline based of rubric , directions, and my attached paper

    sources are in the paper

    Attached Files (PDF/DOCX): Course Project Create a Planning Outline Assignment Instructions.docx, Course Project Create a Planning Outline Example.docx, Course Project – Create an Outline Grading Rubric.pdf, The_Impact_of_Backwards_Design-17699701647656767 2.docx

    Note: Content extraction from these files is restricted, please review them manually.

  • Precious assinment

    Please add your 2 page paper processing the book Precious or Push by Sapphire.

    Please do not write a book report, but explain how this book compliments your experience in this Human Services course.