The document appears to be a chapter from a book about PIC microcontrollers. It focuses specifically on the PIC16F887 microcontroller. Over multiple pages, it likely provides details on the architecture and features of this particular microcontroller model for educational and reference purposes.
The document is about a book titled "PIC microcontrollers for beginners, too!" that introduces microcontrollers and programming for PIC microcontrollers. It provides an overview of the book's contents which include introductions to microcontrollers and assembly language programming, descriptions of the PIC16F84 microcontroller and its instruction set, examples of assembly language programs, and tutorials on using the MPLAB programming environment and code samples. The book is intended for beginners to help them learn microcontroller fundamentals and get started with PIC microcontroller programming.
The document provides an introduction to the PIC16F877 microcontroller. It discusses that PICs are Harvard architecture microcontrollers made by Microchip with a RISC design. The PIC16F877 has an 8KB program memory, 368 bytes of data memory, and 256 bytes of EEPROM. It features ports, timers, ADC, and communication peripherals. Programming involves writing code, compiling to a hex file, and burning the file onto the PIC's flash memory using a programmer.
This book guides the beginner to start up with Embedded C programming using MP LAB . This Book covers all interfacing examples with pic micro controller and guides beginners to develop projects on PIC micro controller
PIC-MICROCONTROLLER TUTORIALS FOR BEGINNERSVISHNU KP
PIC microcontroller programming based on micro c IDE.Those who really want to build a base in microcontroller programming,just keep going through this. ;) :)
This document describes a fingerprint-based security system project. The system uses a fingerprint sensor and microcontroller to scan fingerprints and compare them to registered fingerprints to grant access. It has two modes - master mode to add and delete users, and user mode to authenticate employees. If the scanned fingerprint matches a registered print, the microcontroller sends the user ID to the computer and activates devices like unlocking a door. The system aims to provide secure access control for organizations using biometric fingerprint identification.
This document provides an introduction to microcontrollers and embedded systems. It discusses C/C++ programming basics for microcontrollers, including variable types, memory, numbering systems, and loops. It also covers electrical components and circuits for interfacing sensors and actuators with microcontrollers, such as resistors, capacitors, analog-to-digital conversion, and pulse-width modulation. The document is intended to cover the fundamentals needed for robotics applications using embedded microcontroller systems.
This document summarizes work porting the LING virtual machine to the PIC32MZ microcontroller architecture. Key points include:
- LING code was ported to the MIPS-based PIC32MZ, requiring some adjustments to toolchain and C99 to C89 changes.
- Platform specific code was rewritten, comprising around 600 lines of code, with stubs for unimplemented functions.
- An UART driver was implemented for debug output using work from Qemu emulation of PIC32.
- Future plans include improving real timers, I/O, power management, memory usage and adding Erlang stdlib and module loading support.
The document provides an overview of the Arduino programming language and hardware. It describes the basic structure of an Arduino program with setup() and loop() functions. It lists the main data types and functions for digital and analog input/output, time, math, random numbers, serial communication and more. It also provides information on libraries, the Arduino board pins and components, and compares Arduino to the Processing language.
The document is about a book titled "PIC microcontrollers for beginners, too!" that introduces microcontrollers and programming for PIC microcontrollers. It provides an overview of the book's contents which include introductions to microcontrollers and assembly language programming, descriptions of the PIC16F84 microcontroller and its instruction set, examples of assembly language programs, and tutorials on using the MPLAB programming environment and code samples. The book is intended for beginners to help them learn microcontroller fundamentals and get started with PIC microcontroller programming.
The document provides an introduction to the PIC16F877 microcontroller. It discusses that PICs are Harvard architecture microcontrollers made by Microchip with a RISC design. The PIC16F877 has an 8KB program memory, 368 bytes of data memory, and 256 bytes of EEPROM. It features ports, timers, ADC, and communication peripherals. Programming involves writing code, compiling to a hex file, and burning the file onto the PIC's flash memory using a programmer.
This book guides the beginner to start up with Embedded C programming using MP LAB . This Book covers all interfacing examples with pic micro controller and guides beginners to develop projects on PIC micro controller
PIC-MICROCONTROLLER TUTORIALS FOR BEGINNERSVISHNU KP
PIC microcontroller programming based on micro c IDE.Those who really want to build a base in microcontroller programming,just keep going through this. ;) :)
This document describes a fingerprint-based security system project. The system uses a fingerprint sensor and microcontroller to scan fingerprints and compare them to registered fingerprints to grant access. It has two modes - master mode to add and delete users, and user mode to authenticate employees. If the scanned fingerprint matches a registered print, the microcontroller sends the user ID to the computer and activates devices like unlocking a door. The system aims to provide secure access control for organizations using biometric fingerprint identification.
This document provides an introduction to microcontrollers and embedded systems. It discusses C/C++ programming basics for microcontrollers, including variable types, memory, numbering systems, and loops. It also covers electrical components and circuits for interfacing sensors and actuators with microcontrollers, such as resistors, capacitors, analog-to-digital conversion, and pulse-width modulation. The document is intended to cover the fundamentals needed for robotics applications using embedded microcontroller systems.
This document summarizes work porting the LING virtual machine to the PIC32MZ microcontroller architecture. Key points include:
- LING code was ported to the MIPS-based PIC32MZ, requiring some adjustments to toolchain and C99 to C89 changes.
- Platform specific code was rewritten, comprising around 600 lines of code, with stubs for unimplemented functions.
- An UART driver was implemented for debug output using work from Qemu emulation of PIC32.
- Future plans include improving real timers, I/O, power management, memory usage and adding Erlang stdlib and module loading support.
The document provides an overview of the Arduino programming language and hardware. It describes the basic structure of an Arduino program with setup() and loop() functions. It lists the main data types and functions for digital and analog input/output, time, math, random numbers, serial communication and more. It also provides information on libraries, the Arduino board pins and components, and compares Arduino to the Processing language.
This document describes a fingerprint-based security system that uses a microcontroller and fingerprint module to open a lock only for authorized users. The system scans a fingerprint and verifies it matches one stored on the microcontroller. If so, it activates a relay that opens the locked system. The fingerprint module can store up to 750 fingerprints and is connected to the microcontroller via a serial port. The system provides security for items like medications, jewelry, and documents without needing passwords.
This document provides an overview of the design and development of a quadcopter for aerial surveillance. It describes the hardware components of the quadcopter including the airframe structure made of fiberglass, electric motors, flight controller module, power distribution system, and sensor modules. It also discusses the software implementation, with the use of a PID controller and sensors to provide stability and enable flight maneuvers. The project was carried out by students at Iqra University to fulfill their degree requirements, under the supervision of Sir Khalid Javed.
The Arduino reference document provides information about:
- The structure of Arduino programs including setup() and loop() functions
- Digital and analog input/output functions like pinMode(), digitalWrite(), and analogRead()
- Time functions like millis() and delay()
- Math functions like min(), max(), and map()
- Control structures like if/else statements and for loops
- Variables, data types, and libraries
This document describes a fingerprint-based electronic voting machine (EVM). It consists of a fingerprint scanner, microcontroller, LCD display, keypad, and other components. Voters first register by providing their fingerprint, which is stored in a database. When voting, their fingerprint is scanned and matched to the database to authenticate them before they can cast their vote, preventing illegal voting. This system aims to make the voting process more secure and efficient by leveraging fingerprint authentication technology in the EVM.
The document summarizes a master's thesis that analyzes and develops controllers for a quadcopter. It presents the dynamic equations of the quadcopter and linearizes them. Two backstepping controllers are developed - a simpler one that cannot absorb disturbances, and a more advanced one that can handle disturbances like changes in mass. Both controllers separate attitude from horizontal/vertical position control. The controllers are simulated and compared to evaluate their performance.
Programmable Logic Controllers, Hardware, Programming, Automation
Please subscribe to my YouTube Channel for best training lectures:
https://www.youtube.com/channel/UCRkUJFOsyZG1E1LDWzUr_hw/playlists?view_as=subscriber
The PIC Microcontroller is an electronic device that is easy-to-use in both hardware and software. Sensing the environment by receiving inputs from many sensors, PIC Microcontroller affects its surroundings by controlling lights, motors, and a number of other accessories. It's intended for anyone making interactive hardware projects by connecting it with a power source, few leds and resistors.
This course is designed to introduce the PIC Microcontroller hardware and programming environment to get you started on building projects as soon as possible.
Unleash Your Inner Hero With this Course
-PIC Microcontroller Inner structure and Programming Introduction
-Leds, Resistors and Pushbuttons
-LCD Screens and Seven Segment Displays
-Motor and Keypad.
-DIY Projects and Quick Tips
A Tool for Creating Any Device Imaginable become a favorite of electronic Students and anyone interested in Device manufacturing because of their ease of use and extremely low cost.
Example projects include Ardupilot, a UAV platform able to control aerial drones.
Contents and Overview This course is designed for anyone interested in learning electronic design. No experience is required, and all you need is PIC Microcontroller and several low cost components.
With hours of content in many lectures, this course will take you from zero experience in electronics or programming to PIC Microcontroller Master.
Limited time offer
50% off
Join Today:https://goo.gl/WQIFNY
Getting started with setting up embedded platform requires audience to understand some of the key aspects of Linux. Starting with basics of Linux this presentation talks about basic commands, vi editor, shell scripting and advanced commands
Machine Learning, Deep Learning and Data Analysis IntroductionTe-Yen Liu
The document provides an introduction and overview of machine learning, deep learning, and data analysis. It discusses key concepts like supervised and unsupervised learning. It also summarizes the speaker's experience taking online courses and studying resources to learn machine learning techniques. Examples of commonly used machine learning algorithms and neural network architectures are briefly outlined.
Introduction to Embedded Systems and MicrocontrollersIslam Samir
The document provides an introduction to microcontrollers and embedded systems. It discusses prerequisites for the course including digital logic design and C programming. Microcontrollers allow implementing algorithms with minimized cost and power by writing efficient programs. Studying embedded systems is important for electrical engineers in Egypt to develop technical skills and compete globally. The course agenda covers topics such as embedded systems, microcontrollers, architecture, PIC microcontrollers, memory organization, and C programming.
The document describes writing a C program to print "hello world" using the Keil uVision IDE. The program toggles port P1.0 each time it prints the message to create an infinite loop. The program is compiled and run with no errors. Key steps include selecting the pre-existing hello world project files, building the target, and verifying there are no errors.
GSM Based Versatile Robotic Vehicle Using PIC Microcontroller Report.Abee Sharma
This document is a project report on a GSM based robotic vehicle created by Abhi Sharma. It provides an introduction to robotics including the basic parts of a robot like mechanical platforms, motors, driving mechanisms, power supplies, electronic controls and sensors. It then gives an overview of the GSM robotic vehicle project including a block diagram and working mechanism. The next sections provide details on the schematics, components used and working of the GSM robot circuit. It concludes by discussing applications of the GSM robot and future scope.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- 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:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- 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/)
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Transcat
Join us for this solutions-based webinar on the tools and techniques for commissioning and maintaining PV Systems. In this session, we'll review the process of building and maintaining a solar array, starting with installation and commissioning, then reviewing operations and maintenance of the system. This course will review insulation resistance testing, I-V curve testing, earth-bond continuity, ground resistance testing, performance tests, visual inspections, ground and arc fault testing procedures, and power quality analysis.
Fluke Solar Application Specialist Will White is presenting on this engaging topic:
Will has worked in the renewable energy industry since 2005, first as an installer for a small east coast solar integrator before adding sales, design, and project management to his skillset. In 2022, Will joined Fluke as a solar application specialist, where he supports their renewable energy testing equipment like IV-curve tracers, electrical meters, and thermal imaging cameras. Experienced in wind power, solar thermal, energy storage, and all scales of PV, Will has primarily focused on residential and small commercial systems. He is passionate about implementing high-quality, code-compliant installation techniques.
This document describes a fingerprint-based security system that uses a microcontroller and fingerprint module to open a lock only for authorized users. The system scans a fingerprint and verifies it matches one stored on the microcontroller. If so, it activates a relay that opens the locked system. The fingerprint module can store up to 750 fingerprints and is connected to the microcontroller via a serial port. The system provides security for items like medications, jewelry, and documents without needing passwords.
This document provides an overview of the design and development of a quadcopter for aerial surveillance. It describes the hardware components of the quadcopter including the airframe structure made of fiberglass, electric motors, flight controller module, power distribution system, and sensor modules. It also discusses the software implementation, with the use of a PID controller and sensors to provide stability and enable flight maneuvers. The project was carried out by students at Iqra University to fulfill their degree requirements, under the supervision of Sir Khalid Javed.
The Arduino reference document provides information about:
- The structure of Arduino programs including setup() and loop() functions
- Digital and analog input/output functions like pinMode(), digitalWrite(), and analogRead()
- Time functions like millis() and delay()
- Math functions like min(), max(), and map()
- Control structures like if/else statements and for loops
- Variables, data types, and libraries
This document describes a fingerprint-based electronic voting machine (EVM). It consists of a fingerprint scanner, microcontroller, LCD display, keypad, and other components. Voters first register by providing their fingerprint, which is stored in a database. When voting, their fingerprint is scanned and matched to the database to authenticate them before they can cast their vote, preventing illegal voting. This system aims to make the voting process more secure and efficient by leveraging fingerprint authentication technology in the EVM.
The document summarizes a master's thesis that analyzes and develops controllers for a quadcopter. It presents the dynamic equations of the quadcopter and linearizes them. Two backstepping controllers are developed - a simpler one that cannot absorb disturbances, and a more advanced one that can handle disturbances like changes in mass. Both controllers separate attitude from horizontal/vertical position control. The controllers are simulated and compared to evaluate their performance.
Programmable Logic Controllers, Hardware, Programming, Automation
Please subscribe to my YouTube Channel for best training lectures:
https://www.youtube.com/channel/UCRkUJFOsyZG1E1LDWzUr_hw/playlists?view_as=subscriber
The PIC Microcontroller is an electronic device that is easy-to-use in both hardware and software. Sensing the environment by receiving inputs from many sensors, PIC Microcontroller affects its surroundings by controlling lights, motors, and a number of other accessories. It's intended for anyone making interactive hardware projects by connecting it with a power source, few leds and resistors.
This course is designed to introduce the PIC Microcontroller hardware and programming environment to get you started on building projects as soon as possible.
Unleash Your Inner Hero With this Course
-PIC Microcontroller Inner structure and Programming Introduction
-Leds, Resistors and Pushbuttons
-LCD Screens and Seven Segment Displays
-Motor and Keypad.
-DIY Projects and Quick Tips
A Tool for Creating Any Device Imaginable become a favorite of electronic Students and anyone interested in Device manufacturing because of their ease of use and extremely low cost.
Example projects include Ardupilot, a UAV platform able to control aerial drones.
Contents and Overview This course is designed for anyone interested in learning electronic design. No experience is required, and all you need is PIC Microcontroller and several low cost components.
With hours of content in many lectures, this course will take you from zero experience in electronics or programming to PIC Microcontroller Master.
Limited time offer
50% off
Join Today:https://goo.gl/WQIFNY
Getting started with setting up embedded platform requires audience to understand some of the key aspects of Linux. Starting with basics of Linux this presentation talks about basic commands, vi editor, shell scripting and advanced commands
Machine Learning, Deep Learning and Data Analysis IntroductionTe-Yen Liu
The document provides an introduction and overview of machine learning, deep learning, and data analysis. It discusses key concepts like supervised and unsupervised learning. It also summarizes the speaker's experience taking online courses and studying resources to learn machine learning techniques. Examples of commonly used machine learning algorithms and neural network architectures are briefly outlined.
Introduction to Embedded Systems and MicrocontrollersIslam Samir
The document provides an introduction to microcontrollers and embedded systems. It discusses prerequisites for the course including digital logic design and C programming. Microcontrollers allow implementing algorithms with minimized cost and power by writing efficient programs. Studying embedded systems is important for electrical engineers in Egypt to develop technical skills and compete globally. The course agenda covers topics such as embedded systems, microcontrollers, architecture, PIC microcontrollers, memory organization, and C programming.
The document describes writing a C program to print "hello world" using the Keil uVision IDE. The program toggles port P1.0 each time it prints the message to create an infinite loop. The program is compiled and run with no errors. Key steps include selecting the pre-existing hello world project files, building the target, and verifying there are no errors.
GSM Based Versatile Robotic Vehicle Using PIC Microcontroller Report.Abee Sharma
This document is a project report on a GSM based robotic vehicle created by Abhi Sharma. It provides an introduction to robotics including the basic parts of a robot like mechanical platforms, motors, driving mechanisms, power supplies, electronic controls and sensors. It then gives an overview of the GSM robotic vehicle project including a block diagram and working mechanism. The next sections provide details on the schematics, components used and working of the GSM robot circuit. It concludes by discussing applications of the GSM robot and future scope.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- 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:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- 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/)
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Transcat
Join us for this solutions-based webinar on the tools and techniques for commissioning and maintaining PV Systems. In this session, we'll review the process of building and maintaining a solar array, starting with installation and commissioning, then reviewing operations and maintenance of the system. This course will review insulation resistance testing, I-V curve testing, earth-bond continuity, ground resistance testing, performance tests, visual inspections, ground and arc fault testing procedures, and power quality analysis.
Fluke Solar Application Specialist Will White is presenting on this engaging topic:
Will has worked in the renewable energy industry since 2005, first as an installer for a small east coast solar integrator before adding sales, design, and project management to his skillset. In 2022, Will joined Fluke as a solar application specialist, where he supports their renewable energy testing equipment like IV-curve tracers, electrical meters, and thermal imaging cameras. Experienced in wind power, solar thermal, energy storage, and all scales of PV, Will has primarily focused on residential and small commercial systems. He is passionate about implementing high-quality, code-compliant installation techniques.
Accident detection system project report.pdfKamal Acharya
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.
Home security is of paramount importance in today's world, where we rely more on technology, home
security is crucial. Using technology to make homes safer and easier to control from anywhere is
important. Home security is important for the occupant’s safety. In this paper, we came up with a low cost,
AI based model home security system. The system has a user-friendly interface, allowing users to start
model training and face detection with simple keyboard commands. Our goal is to introduce an innovative
home security system using facial recognition technology. Unlike traditional systems, this system trains
and saves images of friends and family members. The system scans this folder to recognize familiar faces
and provides real-time monitoring. If an unfamiliar face is detected, it promptly sends an email alert,
ensuring a proactive response to potential security threats.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.