Software Engineering (10th Edition)
10th Edition
ISBN: 9780133943030
Author: Ian Sommerville
Publisher: PEARSON
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Chapter 7, Problem 7.1E
Program Plan Intro
Given Information:
Use case for Report Weather:
The below given table show the description of the Report Weather use case.
| System: | Weather Station |
| Use Case: | Report Weather |
| Actors: | Weather |
| Data: | The weather station wills send a summary of the weather data that is collected from the instruments in the collection period to the weather information system. |
| Stimulus: | The weather information system will establish a satellite communication link with the weather station and it will request for the data transmission. |
| Response: | The summarized data is sent to the weather information system. |
| Comments: | Weather stations need to report once per hour, but there are chances that this frequency may differ from one station to another and it may be even modified in future. |
Expert Solution & Answer
Explanation of Solution
Use case for Report Status:
The below given table show the description of the Report Status use case.
| System: | Weather Station |
| Use Case: | Report Status |
| Actors: | Weather information system, Weather station |
| Data: | The weather station will send a status update to the weather information system. It gives information about the status of its instruments, computers and power supply. |
| Stimulus: | The weather information system establishes a satellite link with the weather station and it requests for the status information. |
| Response: | A status summary is uploaded to the weather information system. |
| Comments: | System status is usually requested at the same time as the weather report. |
Use case for Reconfigure:
The below given table show the description of the Reconfigure use case.
| System: | Weather Station |
| Use Case: | Reconfigure |
| Actors: | Weather information system, Weather station |
| Data: | The weather information system will send a reconfiguration command to the weather station. This will place it into remote control mode where further commands may be sent from the remote system for updating the weather station software. |
| Stimulus: | A command from the weather information system. |
| Response: | A confirmation is made that the system is in remote control mode. |
| Comments: | It is used occasionally whenever software updates have to be installed. |
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Note : please avoid using AI answer the question by carefully reading it and provide a clear and concise solutionHere is a clear background and explanation of the full method, including what each part is doing and why.
Background & Motivation
Missing values: Some input features (sensor channels) are missing for some samples due to sensor failure or corruption.
Missing labels: Not all samples have a ground-truth RUL value. For example, data collected during normal operation is often unlabeled.
Most traditional deep learning models require complete data and full labels. But in our case, both are incomplete. If we try to train a model directly, it will either fail to learn properly or discard valuable data.
What We Are Doing: Overview
We solve this using a Teacher–Student knowledge distillation framework:
We train a Teacher model on a clean and complete dataset where both inputs and labels are available.
We then use that Teacher to teach two separate Student models:
Student A learns…
Here is a clear background and explanation of the full method, including what each part is doing and why.
Background & Motivation
Missing values: Some input features (sensor channels) are missing for some samples due to sensor failure or corruption.
Missing labels: Not all samples have a ground-truth RUL value. For example, data collected during normal operation is often unlabeled.
Most traditional deep learning models require complete data and full labels. But in our case, both are incomplete. If we try to train a model directly, it will either fail to learn properly or discard valuable data.
What We Are Doing: Overview
We solve this using a Teacher–Student knowledge distillation framework:
We train a Teacher model on a clean and complete dataset where both inputs and labels are available.
We then use that Teacher to teach two separate Student models:
Student A learns from incomplete input (some sensor values missing).
Student B learns from incomplete labels (RUL labels missing…
here is a diagram code :
graph LR subgraph Inputs [Inputs] A[Input C (Complete Data)] --> TeacherModel B[Input M (Missing Data)] --> StudentA A --> StudentB end subgraph TeacherModel [Teacher Model (Pretrained)] C[Transformer Encoder T] --> D{Teacher Prediction y_t} C --> E[Internal Features f_t] end subgraph StudentA [Student Model A (Trainable - Handles Missing Input)] F[Transformer Encoder S_A] --> G{Student A Prediction y_s^A} B --> F end subgraph StudentB [Student Model B (Trainable - Handles Missing Labels)] H[Transformer Encoder S_B] --> I{Student B Prediction y_s^B} A --> H end subgraph GroundTruth [Ground Truth RUL (Partial Labels)] J[RUL Labels] end subgraph KnowledgeDistillationA [Knowledge Distillation Block for Student A] K[Prediction Distillation Loss (y_s^A vs y_t)] L[Feature Alignment Loss (f_s^A vs f_t)] D -- Prediction Guidance --> K E -- Feature Guidance --> L G --> K F --> L J -- Supervised Guidance (if available) --> G K…
Chapter 7 Solutions
Software Engineering (10th Edition)
Ch. 7 - Prob. 7.1ECh. 7 - Assume that the Mentcare system is being developed...Ch. 7 - Prob. 7.3ECh. 7 - Prob. 7.4ECh. 7 - Develop the design of the weather station to show...Ch. 7 - Prob. 7.6ECh. 7 - Draw a sequence diagram showing the interactions...Ch. 7 - Draw a UML state diagram showing the possible...Ch. 7 - Prob. 7.9ECh. 7 - Prob. 7.10E
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