Midterm experiment using Arm Keil software Programming Assignment Help. Midterm experiment using Arm Keil software Programming Assignment Help.
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Course: Microprocessor Software
The program used: Arm Keil
1) I need a complete lab report for the attached Midterm experiment. I’ve also attached 2 answers as an examples of the report. The word file is a screenshot of the results for one answer. The rest of the images are source files of another answer, both reports/answers are for the same required experiment.
2) I need both the source files for each of the three required programs and the screenshots for the result to be included in the report.
3) The program should be created and run on Arm Keil software. I need this lab done with some notes/comments explaining the necessary steps.
There are 3 more images I could not attached due to size limit.
Midterm experiment using Arm Keil software Programming Assignment Help[supanova_question]
Make Decisions based on group simulation Business Finance Assignment Help
YOU SHOULD HAVE TO SEPARATE TASKS SUBMITTED ONCE COMPLETE
I’m in a group simulation and we are running an airline…My responsibility this week is to come up with the decision on the information below:
| Fare Structure | Normal |
| Fare per Mile | 35 cents |
| Cabin/Food Service | Free soft drinks, and pretzels or peanuts. |
Do you agree with this decision. Should this decision be changed? Here is some other data about the airline to make your decision. You r decision should be at least 250+ words long:
| Fares Decision | |||||||||||||||||||||||||||||||
| Fare per Mile | 35 Cents | ||||||||||||||||||||||||||||||
| Fare Structure | Normal | ||||||||||||||||||||||||||||||
| Cabin/Food Service | Free soft drinks, and pretzels or peanuts. | ||||||||||||||||||||||||||||||
| Marketing Decision | |||||||||||||||||||||||||||||||
| Promotion Budget | $2,500 | ||||||||||||||||||||||||||||||
| Advertising Budget | $2,500 | ||||||||||||||||||||||||||||||
| In-Flight Magazine | No | ||||||||||||||||||||||||||||||
| Current Salespersons | 0 | ||||||||||||||||||||||||||||||
| Salespersons Hired | 0 | ||||||||||||||||||||||||||||||
| Estimated Salesperson Cost | $0 | ||||||||||||||||||||||||||||||
| Cargo Marketing Budget | $0 | ||||||||||||||||||||||||||||||
| Compensation Decision | |||||||||||||||||||||||||||||||
| Quality & Training Budget | $1,000 | ||||||||||||||||||||||||||||||
| Compensation Policy | Pay prevailing wages for regional airlines. | ||||||||||||||||||||||||||||||
| Fleet Decision | |||||||||||||||||||||||||||||||
| Maintenance | Level 1: minimal cleaning and maintenance. | ||||||||||||||||||||||||||||||
| Fuel Contract | All fuel purchased on the spot market this quarter | ||||||||||||||||||||||||||||||
| Acquisitions | No acquisitions have been made. | ||||||||||||||||||||||||||||||
| Disposals | No aircraft disposals | ||||||||||||||||||||||||||||||
| Routes Decision | |||||||||||||||||||||||||||||||
|
|||||||||||||||||||||||||||||||
| Corporate Decision | |||||||||||||||||||||||||||||||
| Social Performance Budget | $0 | ||||||||||||||||||||||||||||||
| Social Responsibility Area | No Area Selected | ||||||||||||||||||||||||||||||
| Financing Decision | |||||||||||||||||||||||||||||||
| Stock Sold | $0 | ||||||||||||||||||||||||||||||
| Dividend Paid | $0 | ||||||||||||||||||||||||||||||
| Stock Dividend | No | ||||||||||||||||||||||||||||||
| Short-Term Loan | $0 | ||||||||||||||||||||||||||||||
| Long-Term Loan | $0 | ||||||||||||||||||||||||||||||
| Purchase 3-month CD | $0 | ||||||||||||||||||||||||||||||
| Special Decision | |||||||||||||||||||||||||||||||
| Incident | Press Release or Not? | ||||||||||||||||||||||||||||||
| Choice | No option chosen | ||||||||||||||||||||||||||||||
Then complete this discussion POST:
Results – Individual
Activity Context
This discussion helps you develop the skills to master the following course competency:
- Formulate business decisions for immediate actions based on integrated analyses.
Revisit the MBA6028 Course Alignment Map to review how all activities assist you in achieving the course competencies and overall program outcomes.
Activity Instructions
Discuss the process that your team used for making decisions in this first period. What do you expect the result to be? If you answer this discussion after the results are in, discuss how the results met or deviated from your expectations. For this discussion, answer the following questions at a high level:
- What choices did you make in your first round?
- How did the results reflect or not reflect your desired outcome of those choices, or how do you expect them to work out?
- What did you learn in the process?
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ERP practices and how to futher leverage ERP approach with technology Writing Assignment Help
COMPAY CAN BE AMAZON, PAYPAL ( ANYONE IS FINE)
The first part: Please summarize current ERP practices, what
they currently have. (2 pages maximum)
The second part: you will make a set of specific recommendations of how to further leverage the chosen ERP approach with technology. (11 pages minimum)
Evaluation of the project will be evaluated on: the degree
of insight offered (as compared to description), the link to concepts presented
in the course (the quality of the link is critical, not the number of concepts
used) and whether the recommendations are valuable, realistic, and well
supported.
Make sure to complete all parts and stay away from
generalities.
DO NOT PROVIDE AS IT IS NOT NEEDED:Cover Page, Table of Contents, Executive Summary or the organizations background/history.
Any charts, pictures, screen shots if used need to be part
of any appendices. Any sources used, please cite on a separate page and no
extra spacing between paragraphs…
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discussion and responses week 3 people and systems in organzations Business Finance Assignment Help
Please answer each discussion with 250 -300 words, APA style. DO NOT FORGET THE CITATION!!!! Then write a response to 2 students for each discussion week with 100 words min, and directed at them in a positive manner not in 3rd person! The other students discussion posts can also be used as an example on how your initial post should be done. So by the end of this assignment your should have done 1 discussions and 2 responses!!! Read and watch all materials. Materials needed are attached!! the 12 hours are just for the initial post, I will then extend the time to 2 additional days and post the other students posts that need responses ( cant see them until I post intial post)
[supanova_question]
Natural Language Processing Programming Assignment Help
Q1: Define a tokenize function
which does the following in sequence:
takes a string as an input
converts the string into lowercase
segments the lowercased string into tokens. A token is defined as follows:
Each token has at least two characters.
The first/last character can only be a letter (i.e. a-z) or a number (0-9)
In the middle, there are 0 or more characters, which can only be letters (a-z), numbers (0-9), hyphens (“-“), underscores (“_”), dot (“.”), or “@” symbols.
lemmatizes all tokens using WordNetLemmatizer
removes stop words from the tokens (use English stop words list from NLTK)
generate token frequency dictionary, where each unique token is a key and the frequency of the token is the value. (Hint: you can use nltk.FreqDist to create it) returns the token frequency dictionary as the output
Q2: Find duplicate questions by similarity
A data file ‘qa.txt’ has been provided for this question. This dataset has two columns: question and answer as shown in screenshot blow. Here we only use “question” column.
Define a function find_similar_doc as follows:
takes two inputs: a list of documents as strings (i.e. docs), and the index of a selected document as an integer (i.e. doc_id).
uses the “tokenize” function defined in Q1 to tokenize each document
generates tf_idf matrix from the tokens (hint: reference to the tf_idf function defined in Section 7.5 in lecture notes)
calculates the pairwise cosine distance of documents using the tf_idf matrix
for the selected document, finds the index of the most similar document (but not the selected document itself!) by the cosine similarity score
returns the index of the most similar document and the similarity score
Test your function with two selected questions 15 and 51 respectively, i.e., doc_id = 15 and doc_id = 51.
Check the most similar questions discovered for each of them
Do you think this function can successfully find duplicate questions? Why does it work or not work? Write down your analysis in a document and upload it to canvas along with your code.
Q3 Retrieve relevant answers to questions by similarity
Each row in “qa.txt” defines a question and its corresponding answer. Now assume we do not know answers to these questions. Let’s design an algorithm to retrieve the most relevant answer to each question.
1. Define another function match_question_answer as follows:
takes two inputs: a list of questions as strings (i.e. questions), and a list of answers as strings (i.e. answers).
uses the “tokenize” function defined in Q1 to tokenize each document
generates tf_idf matrix from the tokens (hint: reference to the tf_idf function defined in Section 7.5 in lecture notes)
calculates the cosine distance between every question and every answer using the tf_idf matrix (hint, you can use scipy.spatial.distance.cdist function)
for each question q, identifies the answer which is the most similar to q as the most relevant answer (denoted as a )
returns a list of tuples each with 3 elements, (index of q, index of a , similarity score) for every question q in the dataset.
2. Define a function evaluate to evaluate the performance of retrieval as follows:
takes the returned list from match_question_answer function as an input
sets a minimum similarity threshold (denoted as min_sim), and selects entries from the list with similarity >= the threshold (denoted as matching_pairs). calculates two metrics for selected matching_pairs:
recall: the percentage of questions with matching answers, i.e.
len(matching_pairs)/len(qu estions)
precision: the precentage of questions in matching_pairs indeed matched with the corresponding answers as indicated in the dataset.
Varies the similarity threshold from 0 to 0.6 with 0.05 increase in each round, calculate the recall and precision in each round, and plot a chart with two lines where the recall and precision as Y axis and the threshold as X axis.
- As the threshold increases, how precision and recal change? What can be a good similarity threshold for retrieving most relevant answers to these questions? Write down your analysis in a document and upload it to canvas along with your code.
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[supanova_question]
Natural Language Processing Programming Assignment Help
Q1: Define a tokenize function
which does the following in sequence:
takes a string as an input
converts the string into lowercase
segments the lowercased string into tokens. A token is defined as follows:
Each token has at least two characters.
The first/last character can only be a letter (i.e. a-z) or a number (0-9)
In the middle, there are 0 or more characters, which can only be letters (a-z), numbers (0-9), hyphens (“-“), underscores (“_”), dot (“.”), or “@” symbols.
lemmatizes all tokens using WordNetLemmatizer
removes stop words from the tokens (use English stop words list from NLTK)
generate token frequency dictionary, where each unique token is a key and the frequency of the token is the value. (Hint: you can use nltk.FreqDist to create it) returns the token frequency dictionary as the output
Q2: Find duplicate questions by similarity
A data file ‘qa.txt’ has been provided for this question. This dataset has two columns: question and answer as shown in screenshot blow. Here we only use “question” column.
Define a function find_similar_doc as follows:
takes two inputs: a list of documents as strings (i.e. docs), and the index of a selected document as an integer (i.e. doc_id).
uses the “tokenize” function defined in Q1 to tokenize each document
generates tf_idf matrix from the tokens (hint: reference to the tf_idf function defined in Section 7.5 in lecture notes)
calculates the pairwise cosine distance of documents using the tf_idf matrix
for the selected document, finds the index of the most similar document (but not the selected document itself!) by the cosine similarity score
returns the index of the most similar document and the similarity score
Test your function with two selected questions 15 and 51 respectively, i.e., doc_id = 15 and doc_id = 51.
Check the most similar questions discovered for each of them
Do you think this function can successfully find duplicate questions? Why does it work or not work? Write down your analysis in a document and upload it to canvas along with your code.
Q3 Retrieve relevant answers to questions by similarity
Each row in “qa.txt” defines a question and its corresponding answer. Now assume we do not know answers to these questions. Let’s design an algorithm to retrieve the most relevant answer to each question.
1. Define another function match_question_answer as follows:
takes two inputs: a list of questions as strings (i.e. questions), and a list of answers as strings (i.e. answers).
uses the “tokenize” function defined in Q1 to tokenize each document
generates tf_idf matrix from the tokens (hint: reference to the tf_idf function defined in Section 7.5 in lecture notes)
calculates the cosine distance between every question and every answer using the tf_idf matrix (hint, you can use scipy.spatial.distance.cdist function)
for each question q, identifies the answer which is the most similar to q as the most relevant answer (denoted as a )
returns a list of tuples each with 3 elements, (index of q, index of a , similarity score) for every question q in the dataset.
2. Define a function evaluate to evaluate the performance of retrieval as follows:
takes the returned list from match_question_answer function as an input
sets a minimum similarity threshold (denoted as min_sim), and selects entries from the list with similarity >= the threshold (denoted as matching_pairs). calculates two metrics for selected matching_pairs:
recall: the percentage of questions with matching answers, i.e.
len(matching_pairs)/len(qu estions)
precision: the precentage of questions in matching_pairs indeed matched with the corresponding answers as indicated in the dataset.
Varies the similarity threshold from 0 to 0.6 with 0.05 increase in each round, calculate the recall and precision in each round, and plot a chart with two lines where the recall and precision as Y axis and the threshold as X axis.
- As the threshold increases, how precision and recal change? What can be a good similarity threshold for retrieving most relevant answers to these questions? Write down your analysis in a document and upload it to canvas along with your code.
Natural Language Processing Programming Assignment Help[supanova_question]
Individual Project 3 Business Finance Assignment Help
Criminal Justice agencies often gather large quantities of variables to be used in descriptive analyses. That is, to help describe situations, populations, and so on. For instance, the Department of Corrections collects data on inmates. Variables often include crime type, race, gender, originating jurisdiction (where they were convicted), education level, and many others.
These data are often captured categorically rather than numerically. For instance, education level might be captured by simply identifying the name of the highest grade an offender achieved, such as high school diploma or GED, Bachelor’s degree, Associates degree, and so forth. Similarly, race data are most often captured by recording the label of the race the offender belongs to, such as Caucasian, African American, Asian, Native American, Pacific Islander, and so on. These labels have no inherent numerical value because they are simply categories. Thus, they are categorical variables.
You cannot use traditional statistical analysis to investigate relationships between categorical variables because they are not numbers. Instead, you would use nonparametric tests, such as the chi-square test of independence. You will use this test to investigate the data below.
This assignment has 2 steps.
Step 1: Watch both of the following videos regarding chi-square analysis:
Step 2: Calculate chi-square using the data in the table below, this Chi Square Example Handout, and the Distribution Values Chart that go with this IP.
Using the Chi-Square Example Handout and the Chi-Square Distribution Values Chart as guides to figure the calculations, calculate chi-square for the following data:
| Originating Jurisdiction | Caucasian | African American |
| Denver County | 16 | 3 |
| El Paso County | 4 | 6 |
| Pueblo County | 6 | 15 |
Then, answer the following questions about your results:
- What is the column total for Caucasian?
- What is the column total for African American?
- What is the row total for Denver County?
- What is the row total for El Paso County?
- What is the row total for Pueblo County?
- Are race and originating jurisdiction significantly dependent? How do you know?
- What is the final chi-square value?
- How many degrees of freedom are there for this chi-square table?
- What is the value for the 0.05 significance level and 2 degrees of freedom on the Chi-Square Distribution Values Chart?
- Do you reject or accept the null hypothesis that states, “Originating Jurisdiction and Race are not significantly dependent (they are independent)”?
Please submit your assignment.
For assistance with your assignment, please use your text, Web resources, and all course materials.
References
Khan Academy. (2017a). Contingency table chi-square test [Video file]. Retrieved from https://www.khanacademy.org/math/statistics-probab…
Khan Academy. (2017b). Filling out frequency table for independent events [Video file]. Retrieved from https://www.khanacademy.org/math/statistics-probab…
APA format for references with 3 references required.
700 words
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social performance or organizations Business Finance Assignment Help
According to the textbook, the current world economy is increasingly becoming integrated and interdependent; as a result, the relationship between business and society is becoming more complex. Use the Internet to research a Fortune 500 company of your choice. Alternatively, you may submit a five to seven (5–7) page paper.
:
Title: Your First Name, Your Last Name – Social Performance of Organizations
Tags: BUS475, Social Performance
Description: First Name, Last Name – BUS475 Assignment 1 (Date Uploaded ex. 1-14-2018)
- Specify the nature, structure, and types of products or services of your company, and identify two (2) key factors in the organization’s external environment that can affect its success. Provide explanation to support the rationale.
- Suggest five (5) ways in which the primary stakeholders can influence the organization’s financial performance. Provide support for the response.
- Specify one (1) controversial corporate social responsibility concern associated with your company.
- Submit a reference page with at least four (4) quality references that you have used for this presentation / paper.
Note: Wikipedia and other websites do not qualify as academic resources.
The written paper, your assignment must follow these formatting requirements:
- This course requires use of Strayer Writing Standards (SWS). The format is different than other Strayer University courses. Please take a moment to review the SWS documentation for details.
- Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.
The specific course learning outcomes associated with this assignment are:
- Analyze the relationship between business and society, and the ways in which they are part of an interactive system.
- Recommend ways stakeholders can influence the destiny of both business and society.
- Analyze the various primary and secondary stakeholder groups, their roles, and relationships.
- Compare and contrast the concepts of corporate social responsibility and citizenship.
- Analyze ways ethical challenges affect the multiple functions of business.
- Use technology and information resources to research issues in business and society.
- Write clearly and concisely about business and society using proper writing mechanics.
- Thoroughly specified the nature, structure, and types of products or service of your company, and two (2) key factors in the organization’s external environment that can affect its success. Thoroughly provided explanation to support the rationale.
- Thoroughly suggested five (5) ways in which the primary stakeholders can influence the organization’s financial performance. Thoroughly provided support for the response.
- Thoroughly specified one (1) controversial corporate social responsibility concern associated with your company.
- almost error free grammar, spelling, punctuation, or formatting / oral communication. Information is provided in a clear, coherent, and consistent manner with reasons and evidence that logically support ideas.
- In-text citations and references are error free or almost error free and consistently formatted correctly in SWS style. Exceeds number of required references; all references high quality choices.
Specific Library Resources to help you get started:
- The Strayer University Library is accessible at research.strayer.edu.
- A general introduction to the Strayer Library is available in your course shell on the left-hand menu under Research-Library.
- Introductory Search – Use the home page’s search box to keyword search many, but not all, databases.
- Targeted Search – Scroll to the bottom of the page for an A to Z listing of all databases. Float over each link to see a description of the database and click to load that particular database’s custom search page. Custom search pages include both basic and advanced search options.
- These databases are only partially searchable through the general search bar. You will have to search them individually to find resources for your paper.
- Nexis Uni – This contains legal information and would be useful to search for court cases in which your company has been involved.
- Video Explaining Nexis Uni
- Mergent Online – This has company info on both public and private companies. Fortune 500 can be public or private. Mergent is known for financial and accounting info, but also has qualitative information too. They offer news feeds, country reports on business environments, industry-wide reporting, company reports, and Annual Reports—the middle 3 are unique to this database. Starting with looking at a company’s annual report would be very useful for this assignment. Industry reports would also be useful to see if your company is involved in any industry-wide initiatives or is notable in its industry in any way (could be good or bad.)
- American City Business Journals – This is probably the most fun way to read business news by metro area. They have over 35 journals based around US cities. Look up the metro area your company is associated with, go to ACBJ, then choose the applicable city, and search for news articles.
- Research Starters are like the academic version of Wikipedia. Search on a topic to get an overview with links to other information within that topic. It will help you get ideas for keywords for your own searches and what you need to know in order to successfully write your paper.
- Note – This is an exception example. Research Starter articles do appear in a feature box above the results list when using the general search box on research.strayer.edu.
- Don’t stress over writing papers! Watch this video on writing papers and essays. Topics include how to start your research, how to organize your research, how to draft your paper, and how to revise it.
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case study 2 Business Finance Assignment Help
this is what the peofessor said :
For this assignment, you will work independently. Here are the directions:
- Choose a stress management technique that is covered in the textbook. Find three (3) peer-reviewed journal articles on that technique. Typically, the stress management technique will be mentioned in the title of the article. You may NOT choose an article that is used in the textbook. Articles must be published from 2010 – 2018.
- Prepare a college-level written report of the articles chosen to include:
- A summary of the stress management technique.
- Compare and contrast how the technique was used in the articles. The focus of this section should be why the stress management technique was chosen instead of other techniques.
- Was the technique a good fit for these articles? Why or why not? Was it a better fit in some articles but not others?
- Based on what you have researched, would you recommend this stress management technique? Why or why not?
The report will be a Word document that is typed, 12 pt. Times New Roman font, 1” margins and double spaced. While there is no page number requirement, the length needs to be sufficient to adequately answer the questions posed in #2 above. A general guideline for this written report is that it should be at least 3 pages in length (not including the reference page). The use of correct APA formatting, spelling, grammar and sentence structure will be graded. A rubric will be provided on Canvas.
onceyou take the qustion i will send you the book
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Read Case 8A and answer the following questions Business Finance Assignment Help
Pleae read Case 8A and asnwer the following questions. Explain your answer
- What was the role of prior experience at start-up?
- What is the role of networks (friends, acquaintances; development of a business network)?
- How would you evaluate the role of marketing planning in the development of the company?
- How would you classify the firm: Is it a life-style business, a growth business or both?
- Evaluate the role of imitation vs. innovation in the growth of the firm.
- What was the role of technology in the development of the firm?
- What would you suggest to the owners for the future?
[supanova_question]
Midterm experiment using Arm Keil software Programming Assignment Help
Midterm experiment using Arm Keil software Programming Assignment Help