SENSOR AND ACTUATOR

A real-world example of a control system – growing crops A farm that grows fruit and vegetables makes use of many different control systems. It relies on these systems to make sure that the produce it grows are kept in the correct conditions to make sure that they do grow. It would be a huge task for a farmer to constantly check his produce, so he relies on these systems to do this for him. One control system that he could use is to control the conditions within his greenhouses. The correct level of light and temperature will need to be maintained. The control systems will incorporate light sensors, temperature sensors, microprocessors and actuators to maintain the correct conditions. The farmer wants to make sure the temperature is between 22 °C and 25 °C. 1The control system uses a temperature sensor to read the temperature within the greenhouse on a regular basis. 2The readings are sent to a microprocessor. They will need to be converted from analogue data to digital data to be processed by the microprocessor. 3The microprocessor compares the reading to the set range. 4If the reading is within the range, no further action is taken. 5If the reading is greater than 25 °C, the microprocessor sends a signal to an actuator that could drive an action, such as open a window to the greenhouse. 6If the reading is less than 22 °C, the microprocessor sends a signal to an actuator that could drive an action, such as turn on a heater in the greenhouse. 7The whole process is repeated.

Introduction – Evolution of IoT ––IoT Definition – Elements of an IoT ecosystem Roles of Sensors & Actuators – Types of sensors –Working of Sensors – Development boards – Arduino – Raspberry pi – Beagle bone – ESP8266 – Interfacing of sensors with development boards – IoT Networking Components – Addressing Strategies in IoT – Trends and implications – Operating System for IoT – Industrial IoT – IoT applications

Electronic Welfare and Sensor Technology

Reading Passage: The Anatomy of a Kill Chain In the lexicon of modern warfare, the term "kill chain" describes the end-to-end process of a military attack, from the initial identification of a target to its eventual destruction and the subsequent evaluation of the strike's effectiveness. Conceptually, the kill chain is a structural model used to understand and optimize the speed and precision of military operations. The fundamental principle of this model is that an attack functions as a sequence of interdependent stages; if any single link in the chain is broken, the entire operation fails. For strategic planners, this creates a dual objective: to accelerate one's own kill chain while simultaneously finding ways to disrupt the adversary's. Strategic Concept: The Kinetic Model (F2T2EA) The traditional military kill chain is often summarized by the acronym F2T2EA, representing a continuous cycle of find, fix, track, target, engage, and assess. The kinetic kill chain begins with Find, the reconnaissance phase where intelligence assets identify a potential target within a theater of operations. Once found, the process moves to Fix, which involves pinning down the target's specific location and ensuring it can be distinguished from friendly forces or non-combatants. Track follows, maintaining a persistent watch on the target's movements to prevent its escape. In the Target phase, commanders select the appropriate weapon system and verify the legality and strategic value of the strike. Engage is the kinetic moment—the actual deployment of ordnance against the objective. Finally, Assess involves battle damage assessment (BDA) to determine if the desired effects were achieved or if further engagement is required. This model emphasizes "compressing the sensor-to-shooter timeline," meaning the faster a military can move through these steps, the more lethal it becomes. The Evolution: The Cyber Kill Chain® As warfare expanded into the digital domain, Lockheed Martin adapted the kinetic model into the Cyber Kill Chain. This framework assists defenders in identifying and stopping Advanced Persistent Threats (APTs). Unlike a physical missile, a cyberattack often unfolds over weeks or months, but the sequential logic remains the same. The model consists of seven distinct stages: Stage Description of Attacker Activity 1. Reconnaissance The harvesting of information. Attackers research targets via social media, public records, and technical scanning to find vulnerabilities. 2. Weaponization Coupling a remote access trojan with an exploit into a deliverable payload (e.g., a malicious PDF or Microsoft Office document). 3. Delivery Transmission of the weapon to the target environment. Common vectors include email attachments, malicious websites, or USB drives. 4. Exploitation The weapon triggers. The code executes on the victim's system, typically by taking advantage of a software or operating system vulnerability. 5. Installation The attacker installs a persistent backdoor or malware on the victim's system, allowing them to maintain access even after a reboot. 6. Command & Control (C2) The compromised system opens a communication channel back to the attacker's server, allowing the intruder to give manual instructions. 7. Actions on Objective The final stage where the attacker achieves their goal, such as data exfiltration, encryption for ransom, or destruction of critical infrastructure. Strategic Implications for Defense The strategic value of the Cyber Kill Chain lies in its ability to provide a roadmap for "proactive defense." By understanding the sequence, security professionals can implement controls at every stage. For instance, robust email filtering can break the chain at the Delivery stage, while endpoint detection can stop the Installation phase. Crucially, the earlier a defender breaks the chain, the lower the cost of mitigation and the lower the risk of damage. If an attacker is stopped during Reconnaissance, they have gained nothing. If they are stopped during Actions on Objective, the damage may already be catastrophic. In both kinetic and cyber environments, the goal is the same: to create a "defensive depth" that makes the cost of a successful attack prohibitively high for the adversary.

Lide 1: Introduction to Bioreactor A bioreactor is a vessel used for growing microorganisms, plant or animal cells Provides controlled conditions for biological reactions Maintains optimum pH, temperature, oxygen, and nutrients Widely used in fermentation, enzyme, vaccine, and antibiotic production Ensures sterile and aseptic environment Scale ranges from laboratory to industrial production Slide 2: Basic Design Requirements of a Bioreactor Must be constructed with non-toxic, corrosion-resistant materials Should allow effective mixing and mass transfer Provision for sterilization (in situ sterilization) Must maintain uniform temperature and pH Easy sampling without contamination Should support scalability and automation Slide 3: Materials Used in Bioreactor Construction Stainless steel (SS-316) for industrial bioreactors Glass for laboratory-scale bioreactors Plastic (polycarbonate) for disposable bioreactors Materials must withstand heat and pressure Should be smooth to prevent microbial attachment Resistant to chemicals and cleaning agents Slide 4: Main Parts of a Bioreactor Vessel: holds the culture medium and microorganisms Agitator (impeller): provides mixing Sparger: supplies sterile air Baffles: prevent vortex formation Sensors: monitor pH, temperature, dissolved oxygen Ports: used for inoculation, sampling, and feeding Slide 5: Agitation System Ensures uniform mixing of nutrients and cells Improves oxygen transfer rate Common impellers: Rushton turbine, marine propeller Speed controlled by motor Prevents settling of cells Affects shear stress on cells Slide 6: Aeration System Supplies oxygen for aerobic fermentation Air introduced through sparger Types of spargers: ring, nozzle, sintered Maintains dissolved oxygen concentration Air is filtered for sterility Essential for high cell density cultures Slide 7: Temperature and pH Control Temperature controlled by heating/cooling jackets pH maintained using acid or alkali addition Sensors continuously monitor parameters Automated control systems used Ensures optimal microbial growth Prevents enzyme denaturation Slide 8: Foam Control System Foam formed due to protein and agitation Excess foam reduces oxygen transfer Mechanical foam breakers used Chemical antifoam agents added Foam sensor detects foam formation Maintains efficient fermentation Slide 9: Types of Bioreactors – Based on Mode of Operation Batch bioreactor Fed-batch bioreactor Continuous bioreactor Choice depends on product type Widely used in industrial fermentation Controls productivity and yield Slide 10: Batch Bioreactor All nutrients added at the beginning No addition or removal during process Simple and easy to operate Low risk of contamination Used for antibiotics and enzymes Limited control over nutrient depletion Slide 11: Fed-Batch Bioreactor Nutrients added during fermentation Prevents substrate inhibition High product yield Widely used in industrial fermentation Allows better control of growth rate Used in insulin and enzyme production Slide 12: Continuous Bioreactor Fresh medium continuously added Culture removed at same rate Maintains steady-state conditions High productivity Risk of contamination is high Used in wastewater treatment and SCP production Slide 13: Types of Bioreactors – Based on Design Stirred tank bioreactor Airlift bioreactor Bubble column bioreactor Packed bed bioreactor Fluidized bed bioreactor Photobioreactor Slide 14: Stirred Tank Bioreactor (STR) Most commonly used bioreactor Mechanical agitation using impellers Suitable for aerobic fermentation Excellent mixing and oxygen transfer Used for bacteria and fungi Easy scale-up Slide 15: Airlift Bioreactor Mixing achieved by air circulation No mechanical agitator Low shear stress Energy efficient Suitable for shear-sensitive cells Used in wastewater treatment Slide 16: Bubble Column Bioreactor Air bubbles provide mixing Simple design and low cost No moving parts Limited mixing efficiency Used for microbial fermentation Suitable for large-scale operations Slide 17: Packed Bed Bioreactor Contains immobilized cells or enzymes Substrate flows through packed matrix High cell density Used in continuous processes Limited oxygen transfer Used in enzyme and wastewater treatment Slide 18: Fluidized Bed Bioreactor Immobilized particles kept in suspension Better mass transfer than packed bed Reduced clogging Suitable for continuous operation Used in biotransformations Higher operational complexity Slide 19: Photobioreactor Designed for photosynthetic organisms Provides light source Used for algae and cyanobacteria Controls light, CO₂, and temperature Used in biofuel and pigment production Can be tubular or flat-plate design Slide 20: Applications of Bioreactors Production of antibiotics and vaccines Enzyme and organic acid production Single cell protein production Wastewater treatment Biofertilizer and biopesticide production Biopharmaceutical manufacturing

SENSORS and MODULES

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