Question 1(a) [3 marks]#
Define Renewable Energy and explain its importance.
Answer:
Renewable Energy is energy derived from natural sources that are continuously replenished, such as solar, wind, hydroelectric, biomass, and geothermal energy.
Table: Types of Renewable Energy Sources
Type | Source | Advantage |
---|---|---|
Solar | Sun’s radiation | Clean, abundant |
Wind | Air movement | No emissions |
Hydro | Water flow | Reliable power |
Biomass | Organic matter | Carbon neutral |
Importance:
- Environmental protection: Reduces pollution and greenhouse gases
- Energy security: Reduces dependence on fossil fuels
- Economic benefits: Creates jobs and reduces energy costs
Mnemonic: “SEEB” - Solar, Environmental, Economic, Biomass
Question 1(b) [4 marks]#
Explain Solar Photovoltaic effect & Principle of photovoltaic conversion.
Answer:
Photovoltaic Effect is the generation of electric current when light strikes a semiconductor material.
Working Principle:
- Photon absorption: Light photons hit solar cell surface
- Electron excitation: Electrons gain energy and move to conduction band
- Charge separation: Built-in electric field separates positive and negative charges
- Current generation: Flow of electrons creates DC electricity
Diagram:
Mnemonic: “PACE” - Photons, Absorption, Charge, Electricity
Question 1(c) [7 marks]#
Describe the types of Electric Vehicle (EV) and different Energy sources for EV.
Answer:
Table: Types of Electric Vehicles
EV Type | Full Form | Power Source | Range |
---|---|---|---|
BEV | Battery Electric Vehicle | Battery only | 150-400 km |
HEV | Hybrid Electric Vehicle | Battery + Engine | 600+ km |
PHEV | Plug-in Hybrid | Battery + Engine | 50-100 km electric |
FCEV | Fuel Cell Electric | Hydrogen fuel cell | 400-600 km |
Energy Sources for EVs:
- Battery: Lithium-ion batteries store electrical energy
- Fuel Cell: Converts hydrogen to electricity
- Ultracapacitor: Quick energy storage and release
- Flywheel: Mechanical energy storage
- Regenerative Braking: Recovers energy during braking
- Hybrid Sources: Combination of multiple energy sources
Diagram: EV Architecture
Mnemonic: “BHPF-BUFR” - Battery, Hybrid, Plugin, FuelCell - Battery, Ultracap, Flywheel, Regen
Question 1(c) OR [7 marks]#
Discuss different types of Renewable Energy Sources.
Answer:
Table: Renewable Energy Sources Comparison
Source | How it Works | Advantages | Applications |
---|---|---|---|
Solar | Converts sunlight to electricity | Clean, abundant | Rooftop systems, farms |
Wind | Wind turns turbines | No fuel cost | Wind farms, offshore |
Hydroelectric | Water flow generates power | Reliable, long-lasting | Dams, rivers |
Biomass | Organic matter combustion | Carbon neutral | Power plants, heating |
Geothermal | Earth’s heat energy | Constant availability | Heating, electricity |
Emerging Trends:
- Tidal Wave: Ocean wave energy conversion
- Solar Thermal: Concentrated solar power systems
- Hydrogen: Clean fuel from renewable sources
Benefits:
- Sustainability: Never depletes
- Environmental: Minimal pollution
- Economic: Reduces energy costs long-term
Mnemonic: “SWHBG-THS” - Solar, Wind, Hydro, Biomass, Geothermal - Tidal, Hydrogen, Solar thermal
Question 2(a) [3 marks]#
Define Nanotechnology & List Applications of Nanotechnology.
Answer:
Nanotechnology is the science of manipulating matter at atomic and molecular scale (1-100 nanometers).
Applications:
- Electronics: Smaller, faster processors
- Medicine: Drug delivery systems
- Energy: Solar cells, batteries
- Materials: Stronger, lighter composites
Mnemonic: “NEMS” - Nano Electronics, Medicine, Solar
Question 2(b) [4 marks]#
Give Full forms of: UAV, IOT, AI, M2M
Answer:
Table: Technology Abbreviations
Abbreviation | Full Form | Application |
---|---|---|
UAV | Unmanned Aerial Vehicle | Surveillance, delivery |
IOT | Internet of Things | Smart homes, cities |
AI | Artificial Intelligence | Machine learning, automation |
M2M | Machine to Machine | Industrial automation |
Mnemonic: “UIAM” - UAV, IOT, AI, M2M
Question 2(c) [7 marks]#
Describe the block diagram of a drone and its major components.
Answer:
Block Diagram:
graph TD
A[Flight Controller] --> B[Motors & Propellers]
A --> C[GPS Module]
A --> D[IMU Sensors]
A --> E[Camera]
F[Battery] --> A
G[Remote Controller] --> H[Receiver]
H --> A
A --> I[Gimbal]
Major Components:
- Flight Controller: Brain of drone, processes sensor data
- Motors & Propellers: Provide thrust and control movement
- Battery: Powers all electronic components
- GPS Module: Provides location and navigation data
- IMU Sensors: Measure acceleration, rotation, magnetic field
- Camera: Captures images and videos
- Gimbal: Stabilizes camera for smooth footage
Working Principle:
- Control: Remote sends commands to receiver
- Processing: Flight controller interprets commands
- Stabilization: IMU sensors maintain balance
- Navigation: GPS provides position feedback
Mnemonic: “FMBGIC” - Flight controller, Motors, Battery, GPS, IMU, Camera
Question 2(a) OR [3 marks]#
Discuss IOT and its importance.
Answer:
Internet of Things (IOT) connects everyday devices to the internet for data exchange and remote control.
Importance:
- Automation: Smart homes and cities
- Efficiency: Optimized resource usage
- Monitoring: Real-time data collection
Mnemonic: “AEM” - Automation, Efficiency, Monitoring
Question 2(b) OR [4 marks]#
Define wearable technology. Name at least three applications of wearable technology.
Answer:
Wearable Technology refers to electronic devices worn on the body to monitor health, fitness, or provide information.
Applications:
- Smart Watches: Fitness tracking, notifications
- Smart Glasses: Augmented reality, navigation
- Health Monitors: Heart rate, blood pressure monitoring
Mnemonic: “WSH” - Watches, Smart glasses, Health monitors
Question 2(c) OR [7 marks]#
Explain with the help of Block diagram Smart Street light control and monitoring.
Answer:
Block Diagram:
graph TD
A[Light Sensor] --> B[Microcontroller]
C[Motion Sensor] --> B
D[Communication Module] --> B
B --> E[LED Street Light]
B --> F[Dimming Control]
G[Central Control System] --> D
H[Power Supply] --> B
Components:
- Light Sensor: Detects ambient light levels
- Motion Sensor: Detects pedestrian/vehicle movement
- Microcontroller: Processes sensor data and controls lighting
- Communication Module: Wireless connection to control center
- LED Street Light: Energy-efficient lighting
- Dimming Control: Adjusts brightness based on need
Working:
- Auto ON/OFF: Lights turn on at dusk, off at dawn
- Motion Detection: Increases brightness when movement detected
- Remote Monitoring: Central system monitors all lights
- Energy Saving: Dims lights when no activity detected
Mnemonic: “LMCL” - Light sensor, Motion sensor, Controller, LED
Question 3(a) [3 marks]#
Compare Organic and Inorganic electronics.
Answer:
Table: Organic vs Inorganic Electronics
Parameter | Organic Electronics | Inorganic Electronics |
---|---|---|
Material | Carbon-based compounds | Silicon, metals |
Cost | Lower manufacturing cost | Higher cost |
Flexibility | Flexible, bendable | Rigid structure |
Processing | Low temperature | High temperature |
Mnemonic: “MCFP” - Material, Cost, Flexibility, Processing
Question 3(b) [4 marks]#
Write a short note on OPVD.
Answer:
OPVD (Organic Photovoltaic Devices) are solar cells made from organic semiconducting materials.
Characteristics:
- Flexible: Can be made on flexible substrates
- Low-cost: Cheaper manufacturing process
- Lightweight: Suitable for portable applications
- Semi-transparent: Can be integrated into windows
Applications:
- Building Integration: Solar windows
- Portable Devices: Flexible solar chargers
- Wearable Electronics: Solar-powered gadgets
Mnemonic: “FLLW” - Flexible, Low-cost, Lightweight, Windows
Question 3(c) [7 marks]#
Explain Biometric systems and their basic block diagram.
Answer:
Biometric System identifies individuals based on unique biological characteristics.
Block Diagram:
graph TD
A[Biometric Sensor] --> B[Signal Processing]
B --> C[Feature Extraction]
C --> D[Template Matching]
D --> E[Decision Module]
F[Database] --> D
E --> G[Accept/Reject]
Components:
- Sensor Module: Captures biometric data (fingerprint, iris, face)
- Signal Processing: Enhances and cleans captured signal
- Feature Extraction: Identifies unique characteristics
- Database Module: Stores biometric templates
- Matching Module: Compares captured data with stored templates
- Decision Module: Makes final accept/reject decision
Types of Biometrics:
- Fingerprint: Ridge patterns on fingers
- Iris: Eye iris patterns
- Face Recognition: Facial features
- Voice: Voice patterns and characteristics
Applications:
- Security: Access control systems
- Banking: ATM authentication
- Mobile: Phone unlocking
- Border Control: Immigration systems
Mnemonic: “SFEMD” - Sensor, Feature extraction, Matching, Database, Decision
Question 3(a) OR [3 marks]#
List the advantages and applications of organic electronics.
Answer:
Advantages:
- Flexible: Bendable electronic devices
- Low-cost: Cheaper manufacturing
- Large-area: Can cover large surfaces
Applications:
- OLED Displays: Flexible screens
- Solar Cells: Lightweight panels
- RFID Tags: Flexible identification
Mnemonic: “FLL-OSR” - Flexible, Low-cost, Large-area - OLED, Solar, RFID
Question 3(b) OR [4 marks]#
Write a short note on OLED.
Answer:
OLED (Organic Light Emitting Diode) is a display technology using organic compounds that emit light when electric current is applied.
Advantages:
- Self-illuminating: No backlight needed
- High contrast: True black colors
- Flexible: Can be bent and curved
- Energy efficient: Lower power consumption
Applications:
- Smartphones: OLED screens
- TVs: Ultra-thin displays
- Wearables: Smartwatch displays
Mnemonic: “SHFE” - Self-illuminating, High contrast, Flexible, Efficient
Question 3(c) OR [7 marks]#
Explain AR/VR core technology and discuss its applications.
Answer:
AR (Augmented Reality) overlays digital information on real world, while VR (Virtual Reality) creates completely immersive digital environment.
Core Technologies:
- Display Systems: Head-mounted displays, screens
- Tracking Systems: Motion sensors, cameras
- Processing Units: GPU, specialized chips
- Input Methods: Controllers, gesture recognition
AR Applications:
- Gaming: Pokemon Go, mobile AR games
- Education: Interactive learning experiences
- Navigation: GPS overlays on real roads
- Shopping: Virtual try-on experiences
VR Applications:
- Entertainment: Immersive gaming, movies
- Training: Flight simulators, medical training
- Architecture: Virtual building walkthroughs
- Therapy: Treatment of phobias, PTSD
Table: AR vs VR Comparison
Aspect | AR | VR |
---|---|---|
Reality | Mixed with real world | Completely virtual |
Equipment | Smartphone, AR glasses | VR headset, controllers |
Immersion | Partial | Complete |
Mobility | Mobile friendly | Stationary setup |
Mnemonic: “DTPI-GENT” - Display, Tracking, Processing, Input - Gaming, Education, Navigation, Training
Question 4(a) [3 marks]#
Draw Block Diagram of a Home Solar rooftop system.
Answer:
Block Diagram:
Components:
- Solar Panels: Convert sunlight to DC electricity
- Inverter: Converts DC to AC power
- Battery Storage: Stores excess energy
Mnemonic: “SIB” - Solar panels, Inverter, Battery
Question 4(b) [4 marks]#
Explain working principle of OFET.
Answer:
OFET (Organic Field Effect Transistor) uses organic semiconductors to control current flow.
Working Principle:
- Gate Voltage: Applied voltage creates electric field
- Channel Formation: Electric field modulates conductivity
- Current Control: Source-drain current controlled by gate
- Switching: ON/OFF states for digital applications
Structure:
- Source/Drain: Current injection points
- Gate: Control electrode
- Organic Layer: Active semiconductor material
Mnemonic: “GCCS” - Gate voltage, Channel, Current, Switching
Question 4(c) [7 marks]#
List various Machine learning tools. Discuss any two in brief.
Answer:
Machine Learning Tools:
- TensorFlow: Google’s ML framework
- PyTorch: Facebook’s deep learning library
- Scikit-learn: Python ML library
- Keras: High-level neural network API
- Machine Learning for Kids: Educational platform
- Scratch: Visual programming for ML
TensorFlow:
- Purpose: Deep learning and neural networks
- Features: Large-scale ML, production deployment
- Applications: Image recognition, NLP, recommendation systems
- Advantages: Scalable, extensive documentation
Scikit-learn:
- Purpose: General machine learning algorithms
- Features: Classification, regression, clustering
- Applications: Data analysis, predictive modeling
- Advantages: Easy to use, well-documented
Table: ML Tools Comparison
Tool | Type | Best For | Difficulty |
---|---|---|---|
TensorFlow | Deep Learning | Complex models | Advanced |
Scikit-learn | General ML | Beginners | Easy |
Mnemonic: “TPSKMS-TF.SL” - TensorFlow, PyTorch, Scikit, Keras, ML4Kids, Scratch - TensorFlow, Scikit-learn
Question 4(a) OR [3 marks]#
Briefly explain Emerging Trends in Renewable Energy.
Answer:
Emerging Trends:
- Floating Solar: Solar panels on water bodies
- Perovskite Cells: Next-generation solar technology
- Green Hydrogen: Clean fuel from renewable sources
Benefits:
- Higher efficiency: Better energy conversion
- Cost reduction: Cheaper renewable energy
Mnemonic: “FPG” - Floating solar, Perovskite, Green hydrogen
Question 4(b) OR [4 marks]#
Give Full forms of: AR, OLED, OPVD, OFET
Answer:
Table: Technology Full Forms
Abbreviation | Full Form | Technology Area |
---|---|---|
AR | Augmented Reality | Mixed reality |
OLED | Organic Light Emitting Diode | Display technology |
OPVD | Organic Photovoltaic Device | Solar cells |
OFET | Organic Field Effect Transistor | Electronics |
Mnemonic: “AOOO” - AR, OLED, OPVD, OFET
Question 4(c) OR [7 marks]#
Explain Block diagram of Raspberry Pi.
Answer:
Block Diagram:
graph TD
A[ARM Processor] --> B[RAM Memory]
A --> C[GPIO Pins]
A --> D[USB Ports]
A --> E[HDMI Output]
A --> F[Ethernet Port]
G[MicroSD Card] --> A
H[Power Supply] --> A
A --> I[Audio/Video]
Components:
- ARM Processor: Central processing unit (Quad-core)
- RAM Memory: System memory (1GB-8GB)
- GPIO Pins: 40 pins for interfacing sensors/devices
- USB Ports: Connect peripherals
- HDMI Output: Video display connection
- Ethernet Port: Network connectivity
- MicroSD Card: Storage for OS and data
- Power Supply: 5V micro-USB or USB-C
Features:
- Operating System: Raspberry Pi OS (Linux-based)
- Programming: Python, C++, Scratch support
- Connectivity: Wi-Fi, Bluetooth built-in
- Expandability: Camera, display connectors
Applications:
- IoT Projects: Home automation
- Education: Learning programming
- Robotics: Robot control systems
- Media Center: Home entertainment
Mnemonic: “ARGC-EPMS” - ARM, RAM, GPIO, Connectivity - Ethernet, Power, MicroSD, Storage
Question 5(a) [3 marks]#
Interface LED with Raspberry Pi.
Answer:
Circuit Connection:
Python Code:
import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BCM)
GPIO.setup(18, GPIO.OUT)
while True:
GPIO.output(18, GPIO.HIGH) # LED ON
time.sleep(1)
GPIO.output(18, GPIO.LOW) # LED OFF
time.sleep(1)
Mnemonic: “GPIO-RC” - GPIO pin, Resistor, Code
Question 5(b) [4 marks]#
Explain Pandas python library For Machine Learning.
Answer:
Pandas is a Python library for data manipulation and analysis, essential for ML data preprocessing.
Key Features:
- DataFrame: Tabular data structure
- Data Cleaning: Handle missing values, duplicates
- Data Import: Read CSV, Excel, JSON files
- Data Analysis: Statistical operations, grouping
ML Applications:
- Data Preprocessing: Clean and prepare datasets
- Feature Engineering: Create new features from data
- Data Exploration: Understand data patterns
- Data Transformation: Normalize, scale data
Common Functions:
import pandas as pd
df = pd.read_csv('data.csv') # Load data
df.info() # Data info
df.describe() # Statistics
Mnemonic: “DCIF” - DataFrame, Cleaning, Import, Functions
Question 5(c) [7 marks]#
Explain types of machine learning techniques: supervised, unsupervised and reinforcement learning.
Answer:
Table: Machine Learning Types
Type | Data Required | Goal | Examples |
---|---|---|---|
Supervised | Labeled data | Predict outcomes | Classification, Regression |
Unsupervised | Unlabeled data | Find patterns | Clustering, Dimensionality reduction |
Reinforcement | Reward signals | Learn optimal actions | Game playing, Robotics |
Supervised Learning:
- Definition: Learns from input-output pairs
- Process: Training with known answers
- Applications: Email spam detection, image recognition
- Algorithms: Linear regression, decision trees, neural networks
Unsupervised Learning:
- Definition: Finds hidden patterns in data
- Process: No target variable provided
- Applications: Customer segmentation, anomaly detection
- Algorithms: K-means clustering, PCA, hierarchical clustering
Reinforcement Learning:
- Definition: Learns through trial and error
- Process: Agent interacts with environment
- Applications: Game AI, autonomous vehicles, robotics
- Components: Agent, environment, rewards, actions
Diagram: ML Learning Process
graph TD
A[Data] --> B{Learning Type}
B --> C[Supervised]
B --> D[Unsupervised]
B --> E[Reinforcement]
C --> F[Prediction Model]
D --> G[Pattern Discovery]
E --> H[Decision Policy]
Mnemonic: “SUR-PLR-CPD” - Supervised, Unsupervised, Reinforcement - Prediction, Learning, Rewards - Classification, Patterns, Decisions
Question 5(a) OR [3 marks]#
Explain NumPy python library For Machine Learning.
Answer:
NumPy is fundamental library for numerical computing in Python, essential for ML operations.
Key Features:
- Arrays: Multi-dimensional array objects
- Mathematical Functions: Linear algebra operations
- Broadcasting: Operations on different sized arrays
ML Applications:
- Data Storage: Efficient numerical data storage
- Matrix Operations: Neural network computations
- Mathematical Computations: Statistical operations
Mnemonic: “AMB” - Arrays, Mathematical functions, Broadcasting
Question 5(b) OR [4 marks]#
Write Installation steps of Raspberry Pi OS on SD card using Raspberry Pi Imager.
Answer:
Installation Steps:
- Download: Install Raspberry Pi Imager from official website
- Insert SD Card: Connect SD card (16GB+) to computer
- Select OS: Choose Raspberry Pi OS from list
- Select Storage: Choose SD card as target
- Write: Click “Write” to flash OS to SD card
- Eject: Safely remove SD card after completion
Pre-configuration Options:
- Enable SSH: For remote access
- Set Username/Password: Security credentials
- Configure Wi-Fi: Network settings
Mnemonic: “DISWS-ESP” - Download, Insert, Select OS, Write, Storage - Enable SSH, Set credentials, Pre-configure
Question 5(c) OR [7 marks]#
Interface Temperature and humidity sensors with Raspberry Pi and write Python Program for it.
Answer:
Circuit Connection:
Python Program:
import Adafruit_DHT
import time
# Sensor type and GPIO pin
sensor = Adafruit_DHT.DHT22
pin = 4
while True:
try:
# Read sensor data
humidity, temperature = Adafruit_DHT.read_retry(sensor, pin)
if humidity is not None and temperature is not None:
print(f'Temperature: {temperature:.1f}°C')
print(f'Humidity: {humidity:.1f}%')
else:
print('Failed to read sensor data')
time.sleep(2) # Wait 2 seconds
except KeyboardInterrupt:
print("\nProgram stopped")
break
Required Library:
pip install Adafruit_DHT
Components Used:
- DHT22: Temperature and humidity sensor
- Raspberry Pi: Processing unit
- Python: Programming language
- Adafruit Library: Sensor interface library
Features:
- Real-time Reading: Continuous monitoring
- Error Handling: Handles sensor read failures
- Data Display: Shows temperature and humidity values
- User Control: Keyboard interrupt to stop program
Applications:
- Weather Station: Local weather monitoring
- Home Automation: Climate control systems
- Agriculture: Greenhouse monitoring
- Industrial: Environmental monitoring
Mnemonic: “DHT-RPL” - DHT sensor, Raspberry Pi, Python, Library