EBK LOGIXPRO PLC LAB MANUAL FOR PROGRAM
5th Edition
ISBN: 8220102803503
Author: Petruzella
Publisher: YUZU
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Chapter 11, Problem 1P
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 programmed depending on the type of processor used.
- The data manipulation instructions are almost similar to math instructions.
- Math instructions are normally used to perform arithmetic functions on the values stored in memory words or registers.
Math functions:
The basic math functions performed by PLCs are as follows:
- Addition
- This function is used to add one piece of data to another.
- It is also called as ADD.
- Subtraction
- This function is used to subtract one piece of data from another.
- It is also called as SUB.
- Multiplication
- This function is used to multiply one piece of data by another.
- It is also called as MUL.
- Division
- This function is used to divide one piece of data from another.
- It is also called as DIV.
Terms used:
The following terms are used in the instruction.
- Source A
- Source A refers to the address of the first piece of data that is used in the instruction.
- Source B:
- Source B refers to the address of the second piece of data that is used in the instruction.
- Destination
- Destination refers to the address where the results of the instruction are stored.
Given:
- In the given figure, the instruction ADD is executed to add the values accumulated at “C5:0” and “C5:1” and the result will be stored at the address “N7:1”.
- The instruction GREATER THAN OR EQUAL (GEQ) is executed to activate the PL1 output.
- Here, the instruction will become true when the value accumulated at the address “N7:1” is greater than or equal to the constant value “350”.
Explanation of Solution
b.
Status of output PL1:
“No”, the output PL1 will not be energized when the accumulated value of counter “C5:0” and “C5:1” is “148” and “36” respectively.
Reason:
- The accumulated value of counter “C5:0” is “148” and the accumulated value of counter “C5:1” is “36”...
Explanation of Solution
c.
Value of the numbers stored:
Assume that the accumulated value of counter “C5:0” is “250” and the accumulated value of counter “C5:1” is “175”.
(1)
Value stored in “C5:0.ACC”:
Since, the given program stores the accumulated value of counter addressed at “C5:0”, the “C5:0.ACC” contains the value of the number “250”.
(2)
Value stored in “C5:1.ACC”:
Since, the given program stores the accumulated value of counter addressed at “C5:1”, the “C5:1.ACC”contains the value of the number “175”...
Explanation of Solution
d.
Status of output PL1:
“Yes”, the output PL1 will get energized when the accumulated value of counter “C5:0” and “C5:1” is “175” and “250” respectively.
Reason:
- The accumulated value of counter “C5:0” is “250” and the accumulated value of counter “C5:1” is “175”...
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graph LR subgraph Teacher_Model_B [Teacher Model (Pretrained)] Input_Teacher_B[Input C (Complete Data)] --> Teacher_Encoder_B[Transformer Encoder T] Teacher_Encoder_B --> Teacher_Prediction_B[Teacher Prediction y_T] Teacher_Encoder_B --> Teacher_Features_B[Internal Features F_T] end subgraph Student_B_Model [Student Model B (Handles Missing Labels)] Input_Student_B[Input C (Complete Data)] --> Student_B_Encoder[Transformer Encoder E_B] Student_B_Encoder --> Student_B_Prediction[Student B Prediction y_B] end subgraph Knowledge_Distillation_B [Knowledge Distillation (Student B)] Teacher_Prediction_B -- Logits Distillation Loss (L_logits_B) --> Total_Loss_B Teacher_Features_B -- Feature Alignment Loss (L_feature_B) --> Total_Loss_B Partial_Labels_B[Partial Labels y_p] -- Prediction Loss (L_pred_B) --> Total_Loss_B Total_Loss_B -- Backpropagation -->…
Please provide me with the output image of both of them . below are the diagrams code
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 --> Student_A_Features[Student A Features F_A] end subgraph Knowledge_Distillation_A [Knowledge Distillation (Student A)] Teacher_Prediction -- Logits Distillation Loss (L_logits_A) --> Total_Loss_A Teacher_Features -- Feature Alignment Loss (L_feature_A) --> Total_Loss_A Ground_Truth_A[Ground Truth y_gt] -- Prediction Loss (L_pred_A)…
Chapter 11 Solutions
EBK LOGIXPRO PLC LAB MANUAL FOR PROGRAM
Ch. 11 - Explain the function of math instructions as...Ch. 11 - Prob. 2RQCh. 11 - What standard format is used for PLC math...Ch. 11 - Prob. 4RQCh. 11 - Prob. 5RQCh. 11 - Prob. 6RQCh. 11 - Prob. 7RQCh. 11 - Prob. 8RQCh. 11 - Prob. 9RQCh. 11 - Prob. 10RQ
Ch. 11 - With reference to the instruction of Figure 11-34,...Ch. 11 - With reference to the instruction of Figure 11-35,...Ch. 11 - Prob. 1PCh. 11 - Prob. 4PCh. 11 - Prob. 5PCh. 11 - Prob. 7PCh. 11 - Prob. 8PCh. 11 - With reference to math instruction program shown...Ch. 11 - With reference to the math instruction program...Ch. 11 - Prob. 11PCh. 11 - Prob. 12P
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