The figure below shows a one-dimensional function, \( f \), and a filter \( w \). Consider \( f \) is padded with zeros on both sides. Which one among the following will be the final convolution output of \( f \) with \( w \) after the padding zeros are removed from the output? \[ f = [0 \quad 0 \quad 1 \quad 0 \quad 0], \quad w = [1 \quad 2 \quad 3] \]
The convolution of a 1D function \( f \) with a filter \( w \) (with zero-padding) is calculated by flipping the kernel \( w \) and sliding it across the zero-padded input \( f \).
Step-by-step:
Given:
\[ f = [0 \quad 0 \quad 1 \quad 0 \quad 0] \quad {(with zero-padding already included)} \] \[ w = [1 \quad 2 \quad 3] \quad \Rightarrow \quad {flipped } w = [3 \quad 2 \quad 1] \] Now compute the convolution:
Position 1: \( [0,0,0] \cdot [3,2,1] = 0 \)
Position 2: \( [0,0,1] \cdot [3,2,1] = 1 \)
Position 3: \( [0,1,0] \cdot [3,2,1] = 2 \)
Position 4: \( [1,0,0] \cdot [3,2,1] = 3 \)
Position 5: \( [0,0,0] \cdot [3,2,1] = 0 \)
So the full convolution result is:
\[ [0 \quad 0 \quad 1 \quad 2 \quad 3 \quad 0 \quad 0] \] Now remove the padded outputs from the beginning and end (one on each side), final result:
\[ \boxed{[0 \quad 0 \quad 1 \quad 2 \quad 3]} \] Final Answer: (C)
The table below is an attribute table about employee records. Which attribute can be used as a primary key?
| Employee | Name | Designation | Department |
|---|---|---|---|
| (Emp_ID) | (Emp_Name) | (Emp_Desig) | (Emp_Dept) |
| 100260 | Prashant | Software Developer | Information Technology |
| 100265 | Dinesh | Junior Engineer | Embedded System |
| 100252 | Somya | HR Manager | Management |
| 100271 | Dinesh | Junior Engineer | Information Technology |
The first value in the output of a SQL query (given below) when run on a table having name “Table-1” is?
SQL Query: SELECT LastName FROM Table-1 WHERE State = "IN" ORDER BY FirstName
| LastName | FirstName | StreetNumber | StreetName | City | State |
|---|---|---|---|---|---|
| Squires | Edwin | 4589 | Shamar Rd. | Upland | IN |
| Rothrock | Paul | 91657 | Carex Ave. | Upland | IN |
| Ramirez | Douglas | 123 | Fake St. | Springfield | IN |
| Peterson | Chris | 4687 | Windthrow Way | Kane | PA |
| Gibson | David | 354 | Bluestem St. | Carbondale | IL |
In a given weighted graph shown below, what is the value of the expression \( (p + d)^2 \), where:
[i.] Alphabets A, B, C, D, E, and F denote the nodes
[ii.] Numbers 1 to 6 denote the weights between two nodes
[iii.] \( d \) = shortest distance between node A and node E
[iv.] \( p \) = number of paths with distance \( d \)

In a given weighted graph shown below, what is the value of the expression \( (p + d)^2 \), where:
[i.] Alphabets A, B, C, D, E, and F denote the nodes
[ii.] Numbers 1 to 6 denote the weights between two nodes
[iii.] \( d \) = shortest distance between node A and node E
[iv.] \( p \) = number of paths with distance \( d \)

The scattering matrix for a fully polarimetric synthetic aperture radar pixel is given below. The \( C_{11} \) element of the covariance matrix computed with a \( 1 \times 1 \) window will be __________? (rounded off to 2 decimal places).
Here, \( i = \sqrt{-1} \).
\[ \begin{bmatrix} 0.1 + 0.5i & 0.1 - 0.1i \\ 0.1 + 0.1i & 0.3 - 0.5i \end{bmatrix} \]
The reflectance geometry of white-sky albedo can be represented as __________
Clouds appear white in optical visible spectral bands of remote sensing images due to _________ scattering.
If the emissivity of an object varies with wavelength, it is called as __________