Programmable Logic Controllers
Programmable Logic Controllers
5th Edition
ISBN: 9780073373843
Author: Frank D. Petruzella
Publisher: McGraw-Hill Education
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Chapter 11, Problem 9RQ
Program Plan Intro

Math instruction:

  • Math instructions refer to all output instructions that uses the data of two words or registers and perform the desired function.
  • Math instructions are program based on the type of processor used.
  • The data manipulation instructions are almost similar to math instructions.
  • The math instruction allows the Programmable Logic Controller (PLC) to take more of conventional computer qualities.
  • Math instructions are normally used to perform arithmetic functions on the values stored in memory words or registers.

Negate function:

  • Negate function is used to change the sign of source value from positive to negative or vice versa.
  • It is denoted as NEG.

Terms used:

The following terms are used in the instruction.

  • Source
    • Source refers to the address of the piece of data that is used in the instruction.
  • Destination
    • Destination refers to the address where the results of the instruction are stored.

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In the diagram, there is a green arrow pointing from Input C (complete data) to Transformer Encoder S_B, which I don’t understand. The teacher model is trained on full data, but S_B should instead receive missing data—this arrow should not point there. Please verify and recreate the diagram to fix this issue. Additionally, the newly created diagram should meet the same clarity standards as the second diagram (Proposed MSCATN). Finally provide the output image of the diagram in image format .
Please provide me with the output  image of both of them . below are the diagrams code  make sure to update the code and mentionned clearly each section also the digram should be clearly describe like in the attached image. please do not provide the same answer like in other question . I repost this question because it does not satisfy the requirment I need in terms of clarifty the output of both code are not very well details  I have two diagram : first diagram code  graph LR subgraph Teacher Model (Pretrained) Input_Teacher[Input C (Complete Data)] --> Teacher_Encoder[Transformer Encoder T] Teacher_Encoder --> Teacher_Prediction[Teacher Prediction y_T] Teacher_Encoder --> Teacher_Features[Internal Features F_T] end subgraph Student_A_Model[Student Model A (Handles Missing Values)] Input_Student_A[Input M (Data with Missing Values)] --> Student_A_Encoder[Transformer Encoder E_A] Student_A_Encoder --> Student_A_Prediction[Student A Prediction y_A] Student_A_Encoder…
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