PROGRAMMABLE LOGIC CONTROLLERS (LOOSE PA
5th Edition
ISBN: 9781264206216
Author: Petruzella
Publisher: MCG
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Chapter 12, Problem 1RQ
Program Plan Intro
Sequencers:
- Programmable Logic Controller (PLC) sequencer performs ON or OFF output patterns using sequencer instructions.
- The sequencer output instruction is used for controlling the output devices.
- PLC sequencer instructions are used for controlling machines which provides a stepped sequence of repeatable operations.
- It simplifies the ladder program by allowing the user to use a single or pair of instructions for performing complex operations.
- Various sequencer instructions can be programmed based on the PLC manufacturer.
Drum switch:
- Drum switch is also known as sequencer switch.
- The drum switch includes a series of normally open contact blocks which are operated by pegs situated on a motor-driven drum.
Expert Solution & Answer
Explanation of Solution
Operation of a drum switch:
The operation of a drum switch is described as given below.
- In a drum sequencer, the pegs are situated at specific locations around the circumference of the drum for operating the contact blocks.
- When the drum starts rotating, no pegs will remain open and all the contacts that are arranged in a line with the pegs will remain closed.
- Logic 1 or ON is used to indicate the presence of a peg and logic 0 or OFF is used to indicate the absence of a peg.
The
- The ON/OFF operation of 16 discrete outputs is controlled by the drum cylinder.
- The data table given below is used to illustrate the logic state for the first four steps of the drum cylinder.
| 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 |
| 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 |
| 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 |
Here, each location where a peg is present is represented by 1 (ON) and the locations where there are no pegs are represented by 0 (OFF).
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Here are two diagrams. Make them very explicit, similar to Example Diagram 3 (the Architecture of MSCTNN).
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 12 Solutions
PROGRAMMABLE LOGIC CONTROLLERS (LOOSE PA
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