Step 1: The total hemispherical emissive power is defined as \[ E = \int_{\Omega = 2\pi} \int_{0}^{\infty} I_\lambda(\theta,\phi)\,\cos\theta \, d\Omega \, d\lambda, \] or, for a gray surface, \[ E = \varepsilon \sigma T^{4}. \] It is integrated over all directions and all wavelengths.
Step 2: Since the integration is over the full hemisphere, \(E\) is **not a function of the direction**. Therefore, statement (A) is true. Viewfactor pertains to radiative exchange between different surfaces, not to a single surface’s emissive power. Hence, statement (B) is false.
Step 3: Because \(E\) is integrated over wavelength/frequency, the **total hemispherical** \(E\) is not a function of wavelength or frequency variables themselves (though it depends on the spectral properties of the surface through the integral). Hence, statement (C) is false and statement (D) is true.
Final Answer: \[ \boxed{\;\; (A)\ \text{and}\ (D)\ \text{are true} \;} \]
The figures I, II, and III are parts of a sequence. Which one of the following options comes next in the sequence at IV?

A color model is shown in the figure with color codes: Yellow (Y), Magenta (M), Cyan (Cy), Red (R), Blue (Bl), Green (G), and Black (K). Which one of the following options displays the color codes that are consistent with the color model?

Consider a process with transfer function: \[ G_p = \frac{2e^{-s}}{(5s + 1)^2} \] A first-order plus dead time (FOPDT) model is to be fitted to the unit step process reaction curve (PRC) by applying the maximum slope method. Let \( \tau_m \) and \( \theta_m \) denote the time constant and dead time, respectively, of the fitted FOPDT model. The value of \( \frac{\tau_m}{\theta_m} \) is __________ (rounded off to 2 decimal places).
Given: For \( G = \frac{1}{(\tau s + 1)^2} \), the unit step output response is: \[ y(t) = 1 - \left(1 + \frac{t}{\tau}\right)e^{-t/\tau} \] The first and second derivatives of \( y(t) \) are: \[ \frac{dy(t)}{dt} = \frac{t}{\tau^2} e^{-t/\tau} \] \[ \frac{d^2y(t)}{dt^2} = \frac{1}{\tau^2} \left(1 - \frac{t}{\tau}\right) e^{-t/\tau} \]