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IT-705 · IoT Lab/Important Questions

IoT Lab (IT-705) - Important Questions

  1. Unit 110 Marks Medium Priority

    For a $12$-bit ADC with reference voltage $V_{ref}=3.3\,\text{V}$:

    (a) Calculate the resolution in volts per LSB.

    (b) Calculate the ADC code for an input voltage $V_{in}=1.65\,\text{V}$. Use the formula

    $$\text{Code} = \left\lfloor \frac{V_{in}}{V_{ref}} \times \left(2^{N} - 1\right) \right\rfloor$$

    where $N$ is the ADC bit depth.

    (c) State the maximum quantization error in volts and express it as a percentage of full-scale.

    Core numerical question on ADC characteristics and conversion; matches common past-paper calculations for Unit 1.

  2. Unit 17 Marks High Priority

    Explain the important considerations when interfacing an analog sensor to a microcontroller ADC. In your answer discuss the following factors and why each matters: input impedance, source impedance, ADC sample-and-hold operation, input capacitance, buffering (op-amp or unity buffer), and protection against over-voltage/transients.

    Fundamental conceptual and practical question on ADC interfacing — high-frequency topic in Unit 1 (sensor interfacing & ADC).

  3. Unit 114 Marks High Priority

    Design a signal conditioning circuit for a thermistor-based temperature sensor whose resistance varies from $10\,\text{k}\Omega$ to $100\,\text{k}\Omega$ over the operating range. Show a practical topology (voltage divider, buffer, and amplifier/offset stage) and calculate component values to map the sensor output linearly into the ADC input range $0\text{–}3.3\,\text{V}$. Explain choices for input impedance, filter time-constant and protection.

    Design problem combining signal conditioning and ADC input mapping; typical long-answer practical design from Unit 1.

  4. Unit 110 Marks High Priority

    A sensor signal has useful bandwidth from $0$ to $3\,\text{kHz}$. Determine the minimum sampling frequency according to Nyquist. Propose an anti-aliasing low-pass filter (specify type and cut-off frequency) and justify the selected filter order and cut-off to limit aliasing while preserving signal fidelity.

    Core sampling theorem and anti-aliasing design question; frequent in data acquisition topic of Unit 1.

  5. Unit 114 Marks High Priority

    Write firmware pseudocode to read an analog sensor using the MCU ADC and publish readings to an MQTT broker. Your answer must include:

    • ADC sampling rate selection and justification.

    • A filtering/averaging strategy (e.g., moving average or decimation) and why it is used.

    • Topic structure (example topic strings) and QoS selection with justification.

    • Handling of ADC over-range and transient spikes.

    Explain design trade-offs for sampling frequency, network bandwidth and power considerations.

    Applied firmware + interfacing question linking ADC sampling to an IoT publish workflow; appears repeatedly in global analytics and practical exams.

  6. Unit 110 Marks Medium Priority

    A $10$-bit ADC has a full-scale input range of $0\text{–}5\,\text{V}$.

    (a) Calculate the theoretical SNR due to quantization noise in dB.

    (b) If the measured SNR is $46\,\text{dB}$, calculate the Effective Number of Bits (ENOB). Use the relation for ideal quantization SNR and the conversion formula for ENOB.

    ADC performance metric calculation question (SNR, ENOB) — standard analytic problem in ADC sections of Unit 1.

  7. Unit 17 Marks High Priority

    Explain the operation of a sample-and-hold (S/H) stage in an ADC. Describe the roles of the hold capacitor, aperture time and acquisition time. Show the equation for the charging of the hold capacitor from a source with source resistance $R_s$ and capacitance $C_{hold}$:

    $$V_{C}(t) = V_{in} \left(1 - e^{-t/\left(R_s C_{hold}\right)}\right)$$

    and explain how this governs the required acquisition time for a given resolution.

    Detailed conceptual question about sample-and-hold and acquisition time — central to ADC interfacing and appeared often in Unit 1 contexts.

  8. Unit 17 Marks Medium Priority

    Describe basic analog front-end techniques to reduce noise and interference in sensor signals prior to ADC conversion. For each technique below give one practical circuit example and the context where it is used:

    • Passive RC low-pass filtering

    • Active (op-amp) filtering

    • Differential measurement with instrumentation amplifier for common-mode rejection

    • Shielding and grounding practices

    Practical question on front-end noise reduction and filtering techniques for sensor signals; useful for lab and exam practicals in Unit 1.

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