C How to Program (8th Edition)
C How to Program (8th Edition)
8th Edition
ISBN: 9780133976892
Author: Paul J. Deitel, Harvey Deitel
Publisher: PEARSON
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Question
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Chapter 10, Problem 10.5E

(a)

Program Plan Intro

Create a Structure inventory which contains the following:

  • A character array partName[30]
  • An integer partNumber,
  • A floating point price
  • An integer stock
  • An integer reorder.

(a)

Expert Solution
Check Mark

Explanation of Solution

Explanation:

A structure is a user defined data type which contains related variables which have same name.

Following syntax is used to create a structure with a keyword struct:

struct <structure name>
{
variable 1;
variable 2;
---;
};

Structure named Inventory with the given variables is defined as follows:

struct Inventory
{
char partName[30];
int partNumber;
float pointprice;
int stock;
 int reorder;
};

(b)

Program Plan Intro

Define the union data containing char c, short s, long b, float f and double d.

(b)

Expert Solution
Check Mark

Explanation of Solution

Explanation:

Union is a user defined data type which contains related variables just like structure which uses same data space for its variable.

Following syntax is used to create an Union data type:

union <union name>
{
variable 1;
variable 2;
---;
};

Union named data which contains char c, short s, long b, float f and double d is defined as follows:

union data
{
char c;
short s;
long b;
float f;
double d;
};

(c)

Program Plan Intro

Create a structure called address that contains character arrays

  • streetAddress[ 25]
  • city[ 20 ]
  • state[ 3]
  • zipCode[ 6].

(c)

Expert Solution
Check Mark

Explanation of Solution

Explanation:

A structure is a derived defined data type which contains related variables which have same name.

Following syntax is used to create a structure with a keyword struct:

struct <structure name>
{
variable 1;
variable 2;
---;
};

Structure with the name address containing character arrays is defined as follows:

struct address
{
char streetAddress[25];
char city[20];
char state[3];
char zipCode[6];
};

(d)

Program Plan Intro

Create a structure student that contains the following :

  • An character array firstName[15]
  • An character array lastName[15]
  • variable homeAddress of type struct address.

(d)

Expert Solution
Check Mark

Explanation of Solution

Given Information

Structure named address as follows:

struct address
{
char streetAddress[25];
char city[20];
char state[3];
char zipCode[6];
};

Explanation:

A structure is a derived defined data type which contains related variables which have same name but each variable in the structure has its own data space.

Keyword struct is used to create a structure as follows:

struct <structure name>
{
variable 1;
variable 2;
---;
};

Structures can be used to declare variable which can access variables of the structure with the use of following syntax:

struct <structure_name><variable_name>;

Structure name Student which contains a structure

A structure student that contains the variable homeAddress of type struct address along with character arrays firstName and lastName is defined as follows:

struct student
{
char firstName[15]; 
char lastName[15];
struct address homeAddress;
};

(e)

Program Plan Intro

Create a structure test which contains a 16 bit fields with widths of 1 bit. The names of the bit fields are the letters a to p.

(e)

Expert Solution
Check Mark

Explanation of Solution

Explanation:

Bit fields can be defined in the structure which enables user to specify the number of bits a unsigned or int member of variable can store.

Bit fields are defined with the following syntax:

<data type> <bit-field name> <number of bits>

A structure test which contains a 16 bit fields with widths of 1 bit is defined as follows:

struct test
{
     unsigned int a : 1;
     unsigned int b : 1;
     unsigned int c : 1;
     unsigned int d : 1;
     unsigned int e : 1;
     unsigned int f : 1;
     unsigned int g : 1;
     unsigned int h : 1;
     unsigned int i : 1;
     unsigned int j : 1;
     unsigned int k : 1;
     unsigned int l : 1;
     unsigned int m : 1;
     unsigned int n : 1;
     unsigned int o : 1;
     unsigned int p : 1;
};

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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…
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