MECHATRONICS -Unit 3-PPI
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Introduction – Architecture of 8255, Keyboard interfacing, LED display –interfacing, ADC and DAC interface, Temperature Control – Stepper Motor Control – Traffic Control interface.
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The document discusses building automation systems (BAS), which use computerized networks of electronic devices to monitor and control buildings' lighting, climate, security, and other systems. A BAS includes sensors, controllers, actuators and software that work together to efficiently manage energy usage while maintaining occupant comfort. Implementing BAS can reduce both capital and operating costs over a building's lifespan through energy savings, standardized maintenance, and integrated emergency response.
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Copy of smart locus presentation end user 6.1 may 2014
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(2) It takes control of building zones gradually over time without affecting central plant operations and provides granular multi-parameter control at the individual zone level based on local comfort preferences.
(3) The system also provides historical and real-time energy statistics down to the VAV parameter level without requiring additional sub-meters, helps detect energy leaks and inefficiencies, and makes recommendations to improve efficiency and manageability.
Smart locus presentation end user 6.1 may 2014
Smart Locus is an energy management system that uses existing building management systems to provide precise energy monitoring and granular HVAC control for greater efficiency savings. It allows (I) 70-80% HVAC energy savings through zone-level control without affecting central plant operations, and (II) a detailed energy footprint of the entire building using existing sensors and without additional equipment or sub-metering required. The system provides granular multi-parameter control of individual zones to balance energy savings with personalized comfort preferences.
Copy of smart locus presentation end user 6.1 may 2014
Smart Locus is an energy management system that provides HVAC management and control as well as a detailed energy footprint of buildings. It uses existing building management systems and requires no additional equipment. It allows for (I) 70-80% HVAC energy savings through granular zone-level control and (II) a precise energy picture of the entire building through detailed historical and real-time energy statistics without needing sub-meters. The system controls individual zones through multi-parameter control of temperature, airflow, humidity and more while maintaining personalized comfort levels.
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SCADA (Supervisory Control and Data Acquisition) systems are used to monitor and control industrial processes. The document discusses the history and components of SCADA, including how it collects data from sensors using RTUs (Remote Terminal Units) and sends control signals. It also describes how SCADA is important for maintaining efficiency in power plants by remotely monitoring operations and reducing maintenance costs. SCADA plays a key role in hydroelectric power plants by integrating maintenance workstations, communicating alarm signals, and supporting future maintenance strategies through its database of equipment information.
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This seminar report presentation discusses the application of a supervisory control and data acquisition (SCADA) system. SCADA systems are used to remotely control equipment via coded signals over communication channels. The presentation will cover intelligent electronic devices, instrument transformers, transducers, meters, digital fault recorders, protective relays, and smart meters. It will also discuss the advantages and disadvantages of SCADA systems and power system automation. The government of India is integrating state power utilities and building a unified load dispatch center, demonstrating the increasing importance of automation.
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Smart Locus is an energy management system that uses existing building management systems to provide precise energy monitoring and granular HVAC control for greater efficiency savings. It allows (I) 70-80% HVAC energy savings through zone-level control without affecting central plant operations, and (II) a detailed energy footprint of the entire building using existing sensors and without additional equipment or sub-metering required. The system provides granular multi-parameter control of individual zones to balance energy savings with personalized comfort preferences.
Copy of smart locus presentation end user 6.1 may 2014
Smart Locus is an energy management system that provides HVAC management and control as well as a detailed energy footprint of buildings. It uses existing building management systems and requires no additional equipment. It allows for (I) 70-80% HVAC energy savings through granular zone-level control and (II) a precise energy picture of the entire building through detailed historical and real-time energy statistics without needing sub-meters. The system controls individual zones through multi-parameter control of temperature, airflow, humidity and more while maintaining personalized comfort levels.
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The document discusses control and instrumentation in thermal power plants, describing how thermal power plants convert heat energy from coal into electrical energy through steam turbines, and that control and instrumentation departments monitor and control various electrical and non-electrical quantities using a distributed control system to oversee the entire plant operations. Bharat Heavy Electricals provides automation solutions for thermal power plants using a distributed control system called maxDNA that controls plant processes during startup, operation, and shutdown.
Dimonoff smart cities
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Smart locus presentation end user 6.1 may 2014
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Like a BAS, fire protection and alarm systems have also evolved into sophisticated computer-based systems, which offers more opportunities to integrate these systems to develop a more complete building response as part of overall building operations during an emergency event.Scada in hydropower plant
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BRAIN TUMOR DETECTION
AND CLASSIFICATION USING
ARTIFICIAL INTELLIGENCE
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AT MBB AIRPORT
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#Abstract:
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- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
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- Exploiting IAM PassRole Misconfiguration
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- Steps:
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- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
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- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
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Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
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Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
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