1. Research and explain, compare and contrast between an RFID tag and a GPS tag.  [Write it in your own words.] 2. Give two examples of each. 
3. Think about a practical application using one instead of the other.

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How data mining can help you in your work environment 

• Be able to apply knowledge and theory gained in their courses of study within current workplace or in their future employment.
• Be able demonstrate the application of theory to workplace in written form.
• Be able to identify the benefits of incorporating real-world experience into an academic program.

Write in 200 words.

see attached

Your character must be composed of at least 8 GLUT primitives, but you are free to use more. You are to describe in the comments of your code what the character is supposed to represent and what type of animation you hope to use it in for an upcoming project. You must submit only the C++ file from your (working) program, plus any header files if you happen to be using them. If you don’t know what a header file is, then chances are you aren’t using one.

APA FORMAT , Citation, Header with page numbers use the proper software 

Week 1 Assignment

• Describe the concept of a “system.” Though these are the characteristics of any system,  relate it to information systems, as best as you can.
• Also, describe your understanding of System Analysis and Design.

Submit a one to two page paper in APA format by Sunday 11:59 PM. You are welcome to submit drafts for the instructor’s comments.

For APA format, include a title page. Include an abstract statement on page two. Add the body on pages 3 & 4. Put  your references on page 5. Use more than one reference for your information. Use Times New Roman 12 point font, double-spaced through the entire document. Indent paragraphs in the body. The abstract is not indented.

You can use the APA template and References tab in MS Word for easier formatting.

Excel_Ch07_Cap_Real_Estate | Excel Chapter 7 Real Estate

You are the office manager for a real estate company in northern Utah County. You tracked real estate listings, including city, agent, listing price, sold price, etc. Agents can represent a seller, a buyer, or both (known as dual agents). Your assistant prepared the spreadsheet structure with agent names, agent types, the listing and sold prices, and the listing and sold dates. You want to complete the spreadsheet by calculating the number of days each house was on the market before being sold, agent commissions, and bonuses. In addition, you will use conditional functions to calculate summary statistics. For further analysis, you will insert a map chart to indicate the average house selling price by city. Finally, you will create a partial loan amortization table and calculate cumulative interest and principal to show a potential buyer to help the buyer make decisions.

The   spreadsheet contains codes (BA, DA, SA) to represent agent roles (Buyer’s   Agent, Dual Agent,   Seller’s Agent). You want to switch the codes for the actual descriptions.
  In cell E12 of the Details sheet, insert the SWITCH function to evaluate the   agent code in cell D12. Include mixed cell references to the codes and roles   in the range J2:K4 for the values
  and results arguments. use all cell references in the function. Copy the   function to the range E13:E39.

Now you want to calculate the   number of days between the list date and sale date.
 

  In cell J12, insert the DAYS function to calculate the number of days between   the Listing Date and the Sale Date. Copy the function to the range J13:J39.

You want to calculate agent   commissions based on their role.
 

  In cell K12, insert the IFS function to calculate the agent’s commission   based on the agent code and the applicable rates in the range L2:L4. Use   relative and mixed references correctly. Copy the function to the range   K13:K39.

You want to calculate a bonus if   the sold price was at least equal to the listing price, and if the house sold   within 30 days after being listed.
 

  In cell L12, insert an IF function with a nested AND function to calculate a   bonus. The AND function should ensure both conditions are met: Sold Price   divided by the Listing Price is greater than or equal to 100% (cell L7) and   the Days on Market are less than or equal to 30 (cell L8). If both conditions   are met, the bonus is $1,000 (cell L9). Otherwise, the bonus is $0. Use mixed   cell references to the input values in the range L7:L9. Copy the function to   the range L12:L39.

The top-left section of the   spreadsheet is designed for summary statistics for one condition. You will   calculate average selling prices and the number of houses sold in each city   (the condition).
 

  In cell B2, insert the AVERAGEIF function to calculate the average Sold Price   for houses in the city of Alpine. Use mixed references for the range; use a   relative reference to cell A2. Copy the function and use the Paste Formulas   option to paste the function in the range B3:B5 so that the bottom border in   cell B5 is preserved.

You want to count the number of   houses in one city.
 

  In cell C2, insert the COUNTIF function to count the number of houses in the   city of Alpine. Use mixed references for the range; and use a relative   reference to cell A2. Copy the function and use the Paste Formulas option to   paste the function in the range C3:C5 so that the border in cell C5 is   preserved.

You want to calculate the total commissions   for each agent (the condition).
 

  In cell B7, insert the SUMIF function to total the commissions by agent. Use   mixed references for the ranges; and use a relative reference to cell A7.   Copy the function and use the Paste Formulas option to paste the function in   the range B8:B9 so that the borders are preserved.

The top-middle section of the   spreadsheet is designed for summary statistics for multiple conditions. You   will calculate the number of houses sold for each agent when he or she served   as a Dual Agent (DA). Use mixed references for ranges and the agent code   condition in cell J3. Use relative cell references to the agent condition in   cell E2. When you copy the formulas, use the paste Formulas options to   preserve border formatting.
 

  In cell F2, insert the COUNTIFS function in cell F2 to count the number of   houses sold by the first agent (cell E2) who was a Dual Agent (DA) (J3) for   that house. Use all cell references in the function. Copy the function to the   range F3:F4 and preserve the bottom border for cell F4.

You are ready to calculate the   total value of those houses for each agent when he or she served as a Dual   Agent (DA). Use mixed references for ranges and the agent code condition in   cell J3. Use relative cell references to the agent condition in cell E2. When   you copy the formulas, use the paste Formulas options to preserve border   formatting.
 

  In cell G2, insert the SUMIFS function to sum the selling prices of the   houses sold by the first agent (cell E2) who was a Dual Agent (DA) (J3) for   that house. Copy the function to the range G3:G4 and preserve the bottom   border for cell G4.

Now, you will calculate the   highest-price house highest-price house sold for each agent when he or she   served as a Dual Agent (DA). Use mixed references for ranges and the agent   code condition in cell J3. Use relative cell references to the agent   condition in cell E2. When you copy the formulas, use the paste Formulas   options to preserve border formatting.
 

  In cell H2, insert the MAXIFS function in cell H2 to display the highest-price   house sold by the first agent (cell E2) who was a Dual Agent (DA) (J3) for   that house. Copy the function to the range H3:H4 and preserve the borders in   the range H3:H4.

The Map worksheet contains a   list of cities, postal codes, and average house sales. You will insert a map   chart to depict the averages visually using the default gradient fill colors.
 

  Display the Map worksheet, select the range B1:C5 and insert a map chart.

Cut the map chart and paste it   in cell A7. Set a 2.31″ height and 3.62″ width.

You want to enter a meaningful   title for the map.
 

  Change the map title to Average Selling Price by Zip Code.

Display the Format Data Series   task pane, select the option to display only regions with data, and show all   labels. Close the task pane.

You are ready to start   completing the loan amortization table.
 

  Display the Loan worksheet. In cell B8, type a reference formula to cell B1.   The balance before the first payment is identical to the loan amount. Do not   type the value; use the cell reference instead. In cell B9, subtract the   principal from the beginning balance on the previous row. Copy the formula to   the range B10:B19.

Now, you will calculate the   interest for the first payment.
 

  In cell C8, calculate the interest for the first payment using the IPMT   function. Copy the function to the range C9:C19.

Next, you will calculate the   principal paid.
 

  In cell D8, calculate the principal paid for the first payment using the PPMT   function. Copy the
  function to the range D9:D19.

Rows 21-23 contain a summary   section for cumulative totals after the first year.
 

  In cell B22, insert the CUMIPMT function that calculates the cumulative   interest after the first year. Use references to cells A8 and A19 for the   period arguments.

The next summary statistic will   calculate the principal paid after the first year.
 

  In cell B23, insert the CUMPRINC function that calculates the cumulative   principal paid after the first year. Use references to cells A8 and A19 for   the period arguments.

Rows 25-28 contain a section for   what-if analysis.
 

  In cell B27, use the RATE financial function to calculate the periodic rate   using $1,400 as the
  monthly payment (cell B26), the NPER, and loan amount in the original input   section.

In cell B28, calculate the APR   by multiplying the monthly rate (cell B27) by 12.

Create a footer with your name   on the left side, the sheet name code in the center, and the file name code   on the right side of each worksheet.

There is a tool called  Data loss prevention helps customer to protect the data when it is in transit or rest or use

 we are just marketing that tool and suggesting the customer what are the problems with traditional DLP tool and how we can able to improve Org data protection with modern DLP tools with modern DLP approach what are the problems with old traditions data loss prevention approach and also mentioned about hybrid work force what are the challenges in hybrid work force and how do we overcome and what would be the solution.

I have prepared the PPT but needs some changes and correction there are comments mentioned to each and every slide plese do the required changes to each slide based on the comments provided and let me know if you need any inputs

 This week we explored the concept of Tokenization.  Three important protocols discussed were Secure Multi-Party Computation (SMPC), Policy-Backed Token (PBT) and Open Asset Protocol (OAP).  Compare and contrast these three protocols and explain which industries can benefit the most from each of these protocols. 

This week our focus is on data mining. In the article this week, we focus on deciding whether the results of two different data mining algorithms provides significantly different information.  Therefore, answer the following questions:

1. When using different data algorithms, why is it fundamentally important to understand why they are being used?
2. If there are significant differences in the data output, how can this happen and why is it important to note the differences?
3. Who should determine which algorithm is “right” and the one to keep?  Why?

Students should engage on three separate days (the initial post by Wednesday and two additional days with peers) with peers with substantive posts. Be sure to refer to the grading rubric for additional discussion board requirements.