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National Institute of Technology

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National Institute of Technology Interview Questions and Answers

Updated 11 Apr 2024

Q1. What are the difference between Type I and Type II error?

Ans.

Type I error is rejecting a true null hypothesis, while Type II error is failing to reject a false null hypothesis.

  • Type I error is also known as a false positive.

  • Type II error is also known as a false negative.

  • Type I error occurs when the researcher concludes that there is a significant effect when there is not.

  • Type II error occurs when the researcher concludes that there is no significant effect when there actually is.

  • The probability of Type I error is denoted by alpha, whil...read more

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Q2. Why in case of DC machine , Field pole arrangement is on stator and Armature Winding on Rotor ? what happens if reverse ?

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Q3. Why stability is improved using decreasing reactance in power flow equations ?

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Q4. What are the motors used for Electrical Vehicles ?

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Q5. Why IGBT is Voltage source and BJT is current source device ?

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Q6. In IGBT , Voltage across Gate to source will controlled the performance of IGBT i.e More charge carriers will available as Gate Source voltage increased. Hence Voltage controlled device.

Ans.

IGBT is a voltage-controlled device where the performance is influenced by the voltage across the gate and source.

  • IGBT stands for Insulated Gate Bipolar Transistor.

  • The voltage across the gate and source controls the conductivity of the IGBT.

  • Increasing the gate-source voltage allows more charge carriers to be available, enhancing the device's performance.

  • IGBTs are commonly used in power electronics applications due to their high efficiency and fast switching speeds.

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Q7. Explain about the difficult session conducted

Ans.

The difficult session involved addressing challenging behavior and lack of motivation among trainees.

  • Focused on identifying root causes of behavior and motivation issues

  • Implemented personalized strategies to address individual needs

  • Used positive reinforcement and encouragement to boost morale

  • Provided additional support and resources for struggling trainees

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Q8. explain Regularization

Ans.

Regularization is a technique used to prevent overfitting in machine learning models.

  • Regularization adds a penalty term to the loss function to discourage complex models.

  • It helps to reduce the variance of the model and improve its generalization performance.

  • L1 and L2 regularization are commonly used techniques.

  • L1 regularization adds the absolute value of the coefficients to the loss function.

  • L2 regularization adds the square of the coefficients to the loss function.

  • The streng...read more

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Q9. Average unit weight of soil

Ans.

Average unit weight of soil is the weight of soil per unit volume.

  • Average unit weight of soil is typically measured in pounds per cubic foot (pcf) or kilonewtons per cubic meter (kN/m^3).

  • It is influenced by factors such as moisture content, compaction, and type of soil.

  • For example, the average unit weight of dry sand is around 100 pcf, while the average unit weight of saturated clay is around 120 pcf.

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