The document outlines a 10-step IoT design methodology that includes requirements specification, process specification, domain modeling, information modeling, service specifications, level specification, functional and operational views, device integration, and application development. It then applies this methodology to design a smart home automation system case study that controls lights remotely. Key steps include defining the system purpose and requirements, modeling concepts and entities, specifying services, developing a native controller service, and building a web application to control lights.
This document discusses the design methodology for Internet of Things (IoT) systems. It outlines the 10 steps in the IoT design process: 1) defining the purpose and requirements, 2) specifying the processes, 3) specifying the domain model, 4) specifying the information model, 5) specifying the services, 6) specifying the IoT level, 7) specifying the functional view, 8) specifying the operational view, 9) integrating devices and components, and 10) developing the IoT application. Embedded computing logic and common hardware platforms like Arduino and Raspberry Pi are also discussed.
The document outlines the steps in designing an embedded IoT platform. It includes specifying requirements and purposes, creating process, domain, information, and service models, and defining functional and operational views. The methodology aims to reduce design time and complexity and improve interoperability. Key steps involve modeling the system purpose, entities, data, services, functions, and device integration.
The document discusses the key steps in IoT system design methodology. It begins with defining the purpose, behavior and requirements of the system. It then covers specifying the processes, domain model, information model, services, deployment level, functional groups, operational aspects and integrating devices. The methodology aims to reduce complexity and improve interoperability of IoT systems.
A full course about asp.net mvc 5 in Arabic. You can watch on my youtube channel https://www.youtube.com/watch?v=jrhdXwuyrfs&list=PLAPpPaAUVQyZJvtvWH9eOJcVkj7NLPQLk
This document discusses the methodology for designing an IOT platform. It includes specifying requirements, processes, domain models, information models, services, and integrating devices and components. As an example, it outlines the process specification for a home automation system that allows remote control of lights using a web application. Key steps in the process specification include defining the purpose, behavior, system management requirements, data analysis requirements, and security requirements. It also describes defining the domain model, which abstractly represents concepts, objects and relationships in the IOT domain, such as physical entities, virtual entities, devices, resources, and services.
The document outlines the key steps in an IoT design methodology:
1. Define the purpose, requirements, and use cases of the system.
2. Specify the domain model, information model, services, and IoT level.
3. Develop functional and operational views describing the system components and how they will communicate and operate.
4. Integrate the physical devices and components and draw schematics.
5. Develop the IoT application to implement the designed system.
IRJET- MVC Framework: A Modern Web Application Development Approach and WorkingIRJET Journal
This document provides an overview of the model-view-controller (MVC) framework, which is commonly used for web application development. It describes the three layers of MVC - the model layer manages the application data and logic, the view layer is responsible for display and presentation, and the controller layer handles user input and updates the model and view. The advantages of MVC include separation of concerns, testability, and support for parallel development. Some disadvantages are that it can be more complex and difficult to learn than other approaches. Popular programming languages and IDEs that support MVC development are also listed.
This document discusses the design methodology for Internet of Things (IoT) systems. It outlines the 10 steps in the IoT design process: 1) defining the purpose and requirements, 2) specifying the processes, 3) specifying the domain model, 4) specifying the information model, 5) specifying the services, 6) specifying the IoT level, 7) specifying the functional view, 8) specifying the operational view, 9) integrating devices and components, and 10) developing the IoT application. Embedded computing logic and common hardware platforms like Arduino and Raspberry Pi are also discussed.
The document outlines the steps in designing an embedded IoT platform. It includes specifying requirements and purposes, creating process, domain, information, and service models, and defining functional and operational views. The methodology aims to reduce design time and complexity and improve interoperability. Key steps involve modeling the system purpose, entities, data, services, functions, and device integration.
The document discusses the key steps in IoT system design methodology. It begins with defining the purpose, behavior and requirements of the system. It then covers specifying the processes, domain model, information model, services, deployment level, functional groups, operational aspects and integrating devices. The methodology aims to reduce complexity and improve interoperability of IoT systems.
A full course about asp.net mvc 5 in Arabic. You can watch on my youtube channel https://www.youtube.com/watch?v=jrhdXwuyrfs&list=PLAPpPaAUVQyZJvtvWH9eOJcVkj7NLPQLk
This document discusses the methodology for designing an IOT platform. It includes specifying requirements, processes, domain models, information models, services, and integrating devices and components. As an example, it outlines the process specification for a home automation system that allows remote control of lights using a web application. Key steps in the process specification include defining the purpose, behavior, system management requirements, data analysis requirements, and security requirements. It also describes defining the domain model, which abstractly represents concepts, objects and relationships in the IOT domain, such as physical entities, virtual entities, devices, resources, and services.
The document outlines the key steps in an IoT design methodology:
1. Define the purpose, requirements, and use cases of the system.
2. Specify the domain model, information model, services, and IoT level.
3. Develop functional and operational views describing the system components and how they will communicate and operate.
4. Integrate the physical devices and components and draw schematics.
5. Develop the IoT application to implement the designed system.
IRJET- MVC Framework: A Modern Web Application Development Approach and WorkingIRJET Journal
This document provides an overview of the model-view-controller (MVC) framework, which is commonly used for web application development. It describes the three layers of MVC - the model layer manages the application data and logic, the view layer is responsible for display and presentation, and the controller layer handles user input and updates the model and view. The advantages of MVC include separation of concerns, testability, and support for parallel development. Some disadvantages are that it can be more complex and difficult to learn than other approaches. Popular programming languages and IDEs that support MVC development are also listed.
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
The document provides an introduction to IoT, including definitions, characteristics, physical and logical designs, communication protocols, and deployment levels. It defines IoT as a global network of devices with sensing/actuation and communication capabilities. Key aspects covered include common IoT device components, popular communication protocols, logical architectures like request-response and publish-subscribe models, and six levels of IoT systems ranging from single devices to complex networks of independent nodes.
The document provides an overview of Internet of Things (IoT) including definitions, characteristics, physical and logical designs, protocols, and deployment levels. It defines IoT as a dynamic global network of devices connected using standard protocols. The physical design section describes IoT devices' sensing, actuating, and monitoring capabilities. The logical design outlines functional blocks for identification, sensing, communication and management. It also describes common communication models like request-response, publish-subscribe, and REST APIs. Finally, it outlines six levels of IoT deployment with varying device, data, analysis and application configurations.
The document describes the five layers of an IoT ecosystem reference architecture:
1) Object layer comprising physical sensors and devices
2) Object abstraction layer that transfers data from objects to the service layer using transmission technologies like RFID, WiFi, etc.
3) Service management layer that acts as middleware pairing services to requests based on addresses and names
4) Application layer providing services to customers in various verticals like smart cities, healthcare, etc.
5) Business layer performing overall management using data to build business models and monitor IoT system requirements.
The document discusses the key concepts of IoT including its definition, characteristics, physical and logical design, protocols, levels and deployment templates. Specifically, it defines IoT as a global network of devices with sensing/actuation and communication capabilities. It describes the various components of an IoT system including devices, resources, controllers, databases, services, analytics and applications. Finally, it outlines six levels of IoT systems with increasing complexity from single device/node to multiple interconnected devices and centralized control.
Spatial Data Infrastructure involves data modeling, metadata, and web services for data access. Data modeling involves conceptualizing user needs, developing a data model, encoding the data, and publishing it. Metadata provides information about spatial data to improve discovery. Registry and discovery services allow querying metadata. Web services like WMS and WFS enable accessing and manipulating mapped features through standard interfaces.
The document provides an introduction to IoT, including definitions, characteristics, physical and logical designs, communication protocols, and deployment models. It defines IoT as a global network of devices with sensing/actuation and communication capabilities. The physical components are "things" like sensors and devices. Logically, IoT systems use models like publish-subscribe and request-response. Deployment is classified into 6 levels based on the network topology and where data is stored and processed.
Get things done with Yii - quickly build webapplicationsGiuliano Iacobelli
Lesson teached at Università di Roma Tre - Software Engineering course.
Web is plenty of amazing tools used daily by millions of people. A good idea can turn to be a highly profitable business if well executed. Yii framework is an ideal tool to build in short time an MVP of your product to start as soon as possible to find your market fit. Here follows some infos about the framework and steps on how to build a simple blog over Yii.
Presenting Data – An Alternative to the View ControlTeamstudio
In this webinar, Paul Della-Nebbia, an IBM Champion, will show how to implement a different alternative for displaying information from Domino views. Paul will cover how to use the Dojo Data Grid (included with XPages) to display a data grid that provides unique features like infinite scrolling, click to sort column headers, adjustable column widths, filtering, and the ability to drag and drop column headers to reorder. As the user scrolls through, the view data is retrieved as needed which improves performance and usability.
.NET Core, ASP.NET Core Course, Session 9aminmesbahi
This document provides an overview of controllers and filters in ASP.NET Core MVC. It defines controllers as classes that handle browser requests, retrieve model data, and specify view templates. Actions are public methods on controllers that handle requests. Filters allow running code before and after stages of the execution pipeline and can be used to handle concerns like authorization, caching, and exception handling. The document discusses implementing different filter types, configuring filters through attributes and dependency injection, and controlling filter order.
ASP.NET MVC_Routing_Authentication_Aurhorization.pdfsetit72024
Introduction:
Begin with an overview of the .NET MVC framework and its importance in building dynamic and scalable web applications.
Introduce the key concepts that will be covered in the presentation: Attribute Routing, Authentication, and Authorization.
Highlight the significance of these features in enhancing the security, usability, and structure of MVC applications.
Section 1: Attribute Routing in .NET MVC:
Definition and Purpose:
Define Attribute Routing and explain its role in defining routes using attributes directly within the controller and action methods.
Emphasize the benefits of attribute routing in terms of readability, maintainability, and providing fine-grained control over URL patterns.
Syntax and Examples:
Provide examples of attribute routing syntax within controllers and actions.
Demonstrate how attribute routing allows developers to create custom, SEO-friendly, and RESTful URLs.
Showcase scenarios where attribute routing excels over convention-based routing.
Section 2: Authentication in .NET MVC:
Understanding Authentication:
Define Authentication and discuss its importance in verifying the identity of users accessing an application.
Introduce the authentication mechanisms supported by .NET MVC, such as Forms Authentication, Windows Authentication, and OAuth.
Implementing Authentication:
Walk through the process of implementing authentication in .NET MVC using attributes, filters, and middleware.
Discuss the role of the [Authorize] attribute and how it restricts access to specific controllers or actions based on the user's authentication status.
Section 3: Authorization in .NET MVC:
Overview of Authorization:
Define Authorization and distinguish it from authentication.
Emphasize the significance of controlling access to specific resources based on user roles, claims, or other criteria.
Implementing Authorization:
Discuss how authorization can be implemented in .NET MVC using attributes like [Authorize] and [AllowAnonymous].
Explore scenarios where role-based authorization and custom policies are essential.
Provide examples of how to implement role-based access control and attribute-based access control.
Case Studies and Best Practices:
Present real-world case studies or examples showcasing the effective use of attribute routing, authentication, and authorization in .NET MVC projects.
Share best practices for maintaining a secure and well-structured MVC application, including tips on managing user roles, securing sensitive data, and handling authentication cookies.
Conclusion:
Summarize the key takeaways from the presentation.
Reinforce the importance of attribute routing, authentication, and authorization in building robust and secure .NET MVC applications.
Encourage further exploration through resources, documentation, and community forums.
This document provides an overview of ASP.NET MVC 2.0, covering topics such as routing, controllers, action methods, views, validation, and filters. It introduces the MVC framework's basic structure and components, and explains how to build a sample Todo application using ASP.NET MVC to manage tasks. The document also outlines some advanced features in ASP.NET MVC 2.0 like areas and asynchronous controllers, as well as new capabilities in ASP.NET MVC 3 Beta such as the Razor view engine and improved dependency injection support.
SAM-IoT: Model Based Methodology and Framework for Design and Management of N...Brain IoT Project
Internet of Things (IoT) is a pervasive technology covering many applications areas (Smart Mobility, Smart Industry, Smart Healthcare, Smart Building, etc.). Its success and the technology evolution allow targeting more complex and critical applications such as the management of critical infrastructures and cooperative service robotics, which requires real time operation and a higher level of intelligence in the monitoring-control command for decision-making. Furthermore, these applications type need to be fully validated in advance considering that bugs discovered during real operation could cause significant damages. In order to avoid these drawbacks, IoT developers and system integrators need advanced tools and methodologies. This paper presents a methodology and a set of tools, defined and developed in the context of the BRAIN-IoT European Union (EU) project. The overall framework includes both Open semantic models to enforce interoperable operations and exchange of data and control features; and Model-based development tools to implement Digital Twin solutions to facilitate the prototyping and integration of interoperable and reliable IoT system solutions. After describing the solution developed, this paper also presents concrete use cases based on the two critical systems mentioned above, leveraging the application scenarios used to validate the concepts developed and results obtained by the BRAIN-IoT project.
The document discusses designing architecture using Attribute-Driven Design (ADD). It describes ADD as a method for designing an architecture to satisfy both functional and quality requirements. The key steps of ADD include choosing architectural drivers from quality scenarios and requirements, selecting an architectural pattern to address the drivers, and instantiating modules and allocating functionality to implement the pattern. As an example, it applies ADD to design a product line architecture for a garage door opener system.
The document summarizes the logical design of IoT. It discusses IoT functional blocks, communication models, and communication APIs. The key functional blocks include devices, communication, services, management, security, and applications. Common communication models are request-response, publish-subscribe, push-pull, and exclusive pair. Popular communication APIs for IoT include REST-based and WebSocket-based APIs. REST follows a request-response model while WebSocket allows full-duplex communication.
This document discusses the design of a mobile-based job portal system. It includes 3 chapters:
1) An introduction that describes the existing job search system and objectives of the new system.
2) A system analysis section that details use cases, sequence diagrams, activity diagrams and state diagrams to understand system requirements.
3) A system design section that outlines the software architecture using Flutter and Firebase, subsystem decomposition, and database design.
This document provides an overview of Application Insights, a telemetry service that monitors application performance and usage. It discusses why application monitoring is useful, how Application Insights collects data from various sources, and how different roles can use the insights. The document then demonstrates Application Insights features like tracking requests, exceptions, dependencies and custom events. It shows how to export telemetry data to Azure Blob Storage and analyze it with Stream Analytics and Power BI.
This document provides an overview of Angular 2 including:
- Main blocks like components, directives, services, routing etc.
- How to set up a development environment with Node.js and TypeScript
- Examples of core features like data binding, communication between components, dependency injection, and HTTP requests
- Tips for organizing projects, lazy loading modules, ahead of time compilation, and using the Angular CLI
This document introduces the ASP.NET MVC framework. It discusses how MVC enables clean separation of concerns through distinct model, view, and controller components. Controllers handle requests and choose views to render while passing them model data. Views focus on rendering output. The document also outlines how MVC supports testable, RESTful code through interfaces and dependency injection. It provides examples of routing, controller actions, view selection, and testing approaches. Finally, it demonstrates MVC concepts through sample projects.
Smart homes, wearables, and smart cities are among the most popular Internet of Things applications according to funding levels and market research. Industrial IoT has the highest potential but lacks popularity with consumers compared to smart homes and wearables. Smart grid uses automated information from electricity suppliers and consumers to deliver power more efficiently while smart transportation focuses on improving the customer experience and optimizing supply chain operations.
This document discusses Internet of Things (IoT) physical devices and endpoints. It begins by defining IoT devices as objects that can send and receive data over a network, and provides examples like home appliances and sensors in cars. The basic building blocks of an IoT device are then outlined as sensing, actuation, communication, and data analysis. The Raspberry Pi is presented as an exemplary IoT device, describing its low-cost computer capabilities and Python support for interfacing sensors. Interfaces like GPIO, serial, SPI and I2C are described for connecting devices to the Raspberry Pi. Programming an LED and switch on the Raspberry Pi is provided as an example. Other IoT devices mentioned include pcDuino
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
The document provides an introduction to IoT, including definitions, characteristics, physical and logical designs, communication protocols, and deployment levels. It defines IoT as a global network of devices with sensing/actuation and communication capabilities. Key aspects covered include common IoT device components, popular communication protocols, logical architectures like request-response and publish-subscribe models, and six levels of IoT systems ranging from single devices to complex networks of independent nodes.
The document provides an overview of Internet of Things (IoT) including definitions, characteristics, physical and logical designs, protocols, and deployment levels. It defines IoT as a dynamic global network of devices connected using standard protocols. The physical design section describes IoT devices' sensing, actuating, and monitoring capabilities. The logical design outlines functional blocks for identification, sensing, communication and management. It also describes common communication models like request-response, publish-subscribe, and REST APIs. Finally, it outlines six levels of IoT deployment with varying device, data, analysis and application configurations.
The document describes the five layers of an IoT ecosystem reference architecture:
1) Object layer comprising physical sensors and devices
2) Object abstraction layer that transfers data from objects to the service layer using transmission technologies like RFID, WiFi, etc.
3) Service management layer that acts as middleware pairing services to requests based on addresses and names
4) Application layer providing services to customers in various verticals like smart cities, healthcare, etc.
5) Business layer performing overall management using data to build business models and monitor IoT system requirements.
The document discusses the key concepts of IoT including its definition, characteristics, physical and logical design, protocols, levels and deployment templates. Specifically, it defines IoT as a global network of devices with sensing/actuation and communication capabilities. It describes the various components of an IoT system including devices, resources, controllers, databases, services, analytics and applications. Finally, it outlines six levels of IoT systems with increasing complexity from single device/node to multiple interconnected devices and centralized control.
Spatial Data Infrastructure involves data modeling, metadata, and web services for data access. Data modeling involves conceptualizing user needs, developing a data model, encoding the data, and publishing it. Metadata provides information about spatial data to improve discovery. Registry and discovery services allow querying metadata. Web services like WMS and WFS enable accessing and manipulating mapped features through standard interfaces.
The document provides an introduction to IoT, including definitions, characteristics, physical and logical designs, communication protocols, and deployment models. It defines IoT as a global network of devices with sensing/actuation and communication capabilities. The physical components are "things" like sensors and devices. Logically, IoT systems use models like publish-subscribe and request-response. Deployment is classified into 6 levels based on the network topology and where data is stored and processed.
Get things done with Yii - quickly build webapplicationsGiuliano Iacobelli
Lesson teached at Università di Roma Tre - Software Engineering course.
Web is plenty of amazing tools used daily by millions of people. A good idea can turn to be a highly profitable business if well executed. Yii framework is an ideal tool to build in short time an MVP of your product to start as soon as possible to find your market fit. Here follows some infos about the framework and steps on how to build a simple blog over Yii.
Presenting Data – An Alternative to the View ControlTeamstudio
In this webinar, Paul Della-Nebbia, an IBM Champion, will show how to implement a different alternative for displaying information from Domino views. Paul will cover how to use the Dojo Data Grid (included with XPages) to display a data grid that provides unique features like infinite scrolling, click to sort column headers, adjustable column widths, filtering, and the ability to drag and drop column headers to reorder. As the user scrolls through, the view data is retrieved as needed which improves performance and usability.
.NET Core, ASP.NET Core Course, Session 9aminmesbahi
This document provides an overview of controllers and filters in ASP.NET Core MVC. It defines controllers as classes that handle browser requests, retrieve model data, and specify view templates. Actions are public methods on controllers that handle requests. Filters allow running code before and after stages of the execution pipeline and can be used to handle concerns like authorization, caching, and exception handling. The document discusses implementing different filter types, configuring filters through attributes and dependency injection, and controlling filter order.
ASP.NET MVC_Routing_Authentication_Aurhorization.pdfsetit72024
Introduction:
Begin with an overview of the .NET MVC framework and its importance in building dynamic and scalable web applications.
Introduce the key concepts that will be covered in the presentation: Attribute Routing, Authentication, and Authorization.
Highlight the significance of these features in enhancing the security, usability, and structure of MVC applications.
Section 1: Attribute Routing in .NET MVC:
Definition and Purpose:
Define Attribute Routing and explain its role in defining routes using attributes directly within the controller and action methods.
Emphasize the benefits of attribute routing in terms of readability, maintainability, and providing fine-grained control over URL patterns.
Syntax and Examples:
Provide examples of attribute routing syntax within controllers and actions.
Demonstrate how attribute routing allows developers to create custom, SEO-friendly, and RESTful URLs.
Showcase scenarios where attribute routing excels over convention-based routing.
Section 2: Authentication in .NET MVC:
Understanding Authentication:
Define Authentication and discuss its importance in verifying the identity of users accessing an application.
Introduce the authentication mechanisms supported by .NET MVC, such as Forms Authentication, Windows Authentication, and OAuth.
Implementing Authentication:
Walk through the process of implementing authentication in .NET MVC using attributes, filters, and middleware.
Discuss the role of the [Authorize] attribute and how it restricts access to specific controllers or actions based on the user's authentication status.
Section 3: Authorization in .NET MVC:
Overview of Authorization:
Define Authorization and distinguish it from authentication.
Emphasize the significance of controlling access to specific resources based on user roles, claims, or other criteria.
Implementing Authorization:
Discuss how authorization can be implemented in .NET MVC using attributes like [Authorize] and [AllowAnonymous].
Explore scenarios where role-based authorization and custom policies are essential.
Provide examples of how to implement role-based access control and attribute-based access control.
Case Studies and Best Practices:
Present real-world case studies or examples showcasing the effective use of attribute routing, authentication, and authorization in .NET MVC projects.
Share best practices for maintaining a secure and well-structured MVC application, including tips on managing user roles, securing sensitive data, and handling authentication cookies.
Conclusion:
Summarize the key takeaways from the presentation.
Reinforce the importance of attribute routing, authentication, and authorization in building robust and secure .NET MVC applications.
Encourage further exploration through resources, documentation, and community forums.
This document provides an overview of ASP.NET MVC 2.0, covering topics such as routing, controllers, action methods, views, validation, and filters. It introduces the MVC framework's basic structure and components, and explains how to build a sample Todo application using ASP.NET MVC to manage tasks. The document also outlines some advanced features in ASP.NET MVC 2.0 like areas and asynchronous controllers, as well as new capabilities in ASP.NET MVC 3 Beta such as the Razor view engine and improved dependency injection support.
SAM-IoT: Model Based Methodology and Framework for Design and Management of N...Brain IoT Project
Internet of Things (IoT) is a pervasive technology covering many applications areas (Smart Mobility, Smart Industry, Smart Healthcare, Smart Building, etc.). Its success and the technology evolution allow targeting more complex and critical applications such as the management of critical infrastructures and cooperative service robotics, which requires real time operation and a higher level of intelligence in the monitoring-control command for decision-making. Furthermore, these applications type need to be fully validated in advance considering that bugs discovered during real operation could cause significant damages. In order to avoid these drawbacks, IoT developers and system integrators need advanced tools and methodologies. This paper presents a methodology and a set of tools, defined and developed in the context of the BRAIN-IoT European Union (EU) project. The overall framework includes both Open semantic models to enforce interoperable operations and exchange of data and control features; and Model-based development tools to implement Digital Twin solutions to facilitate the prototyping and integration of interoperable and reliable IoT system solutions. After describing the solution developed, this paper also presents concrete use cases based on the two critical systems mentioned above, leveraging the application scenarios used to validate the concepts developed and results obtained by the BRAIN-IoT project.
The document discusses designing architecture using Attribute-Driven Design (ADD). It describes ADD as a method for designing an architecture to satisfy both functional and quality requirements. The key steps of ADD include choosing architectural drivers from quality scenarios and requirements, selecting an architectural pattern to address the drivers, and instantiating modules and allocating functionality to implement the pattern. As an example, it applies ADD to design a product line architecture for a garage door opener system.
The document summarizes the logical design of IoT. It discusses IoT functional blocks, communication models, and communication APIs. The key functional blocks include devices, communication, services, management, security, and applications. Common communication models are request-response, publish-subscribe, push-pull, and exclusive pair. Popular communication APIs for IoT include REST-based and WebSocket-based APIs. REST follows a request-response model while WebSocket allows full-duplex communication.
This document discusses the design of a mobile-based job portal system. It includes 3 chapters:
1) An introduction that describes the existing job search system and objectives of the new system.
2) A system analysis section that details use cases, sequence diagrams, activity diagrams and state diagrams to understand system requirements.
3) A system design section that outlines the software architecture using Flutter and Firebase, subsystem decomposition, and database design.
This document provides an overview of Application Insights, a telemetry service that monitors application performance and usage. It discusses why application monitoring is useful, how Application Insights collects data from various sources, and how different roles can use the insights. The document then demonstrates Application Insights features like tracking requests, exceptions, dependencies and custom events. It shows how to export telemetry data to Azure Blob Storage and analyze it with Stream Analytics and Power BI.
This document provides an overview of Angular 2 including:
- Main blocks like components, directives, services, routing etc.
- How to set up a development environment with Node.js and TypeScript
- Examples of core features like data binding, communication between components, dependency injection, and HTTP requests
- Tips for organizing projects, lazy loading modules, ahead of time compilation, and using the Angular CLI
This document introduces the ASP.NET MVC framework. It discusses how MVC enables clean separation of concerns through distinct model, view, and controller components. Controllers handle requests and choose views to render while passing them model data. Views focus on rendering output. The document also outlines how MVC supports testable, RESTful code through interfaces and dependency injection. It provides examples of routing, controller actions, view selection, and testing approaches. Finally, it demonstrates MVC concepts through sample projects.
Smart homes, wearables, and smart cities are among the most popular Internet of Things applications according to funding levels and market research. Industrial IoT has the highest potential but lacks popularity with consumers compared to smart homes and wearables. Smart grid uses automated information from electricity suppliers and consumers to deliver power more efficiently while smart transportation focuses on improving the customer experience and optimizing supply chain operations.
This document discusses Internet of Things (IoT) physical devices and endpoints. It begins by defining IoT devices as objects that can send and receive data over a network, and provides examples like home appliances and sensors in cars. The basic building blocks of an IoT device are then outlined as sensing, actuation, communication, and data analysis. The Raspberry Pi is presented as an exemplary IoT device, describing its low-cost computer capabilities and Python support for interfacing sensors. Interfaces like GPIO, serial, SPI and I2C are described for connecting devices to the Raspberry Pi. Programming an LED and switch on the Raspberry Pi is provided as an example. Other IoT devices mentioned include pcDuino
The document discusses the need for IoT systems management and limitations of SNMP. It introduces NETCONF and YANG as alternatives for managing IoT devices. NETCONF uses XML over SSH and provides operations to retrieve and edit device configurations separately from state data. YANG is a data modeling language used to define the schema for configuration and state data exchanged between NETCONF clients and servers. The document provides an example of a YANG module to manage a toaster device.
This document summarizes key concepts about Python from the book "Internet of Things - Logical Design using Python" by Bahga and Madisetti. It covers Python data types like numbers, strings, lists, tuples, and dictionaries. It also discusses Python control flow statements such as if/else, for, while, break, continue and pass. Finally, it provides examples of type conversions and using Python for IoT systems design and development.
This document discusses machine-to-machine (M2M) communication and its differences from the Internet of Things (IoT). It also describes how software-defined networking (SDN) and network function virtualization (NFV) could support IoT. M2M uses local area networks with proprietary protocols while IoT connects devices globally using IP. SDN separates the control plane from the data plane using open APIs. NFV virtualizes network functions on commodity servers to improve flexibility.
The document introduces concepts related to the Internet of Things (IoT). It defines IoT as a global network of physical objects connected by standard communication protocols. It describes the characteristics, physical design, logical design and communication models of IoT systems. It also outlines different levels of IoT deployment from single-node level 1 systems to distributed level 6 systems with multiple independent nodes communicating with cloud-based analytics and applications.
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%.
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.
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Supermarket Management System Project Report.pdfKamal Acharya
Supermarket management is a stand-alone J2EE using Eclipse Juno program.
This project contains all the necessary required information about maintaining
the supermarket billing system.
The core idea of this project to minimize the paper work and centralize the
data. Here all the communication is taken in secure manner. That is, in this
application the information will be stored in client itself. For further security the
data base is stored in the back-end oracle and so no intruders can access it.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
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.
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/)
4. Step 1: Purpose & Requirements Specification
• The first step in IoT system design methodology is to define the
purpose and requirements of the system. In this step, the system
purpose, behavior and requirements (such as data collection
requirements, data analysis requirements, system management
requirements, data privacy and security requirements, user interface
requirements, ...) are captured.
5. Step 2: Process Specification
• The second step in the IoT design methodology is to define the
process specification. In this step, the use cases of the IoT system are
formally described based on and derived from the purpose and
requirement specifications.
6. Step 3: Domain Model Specification
• The third step in the IoT design methodology is to define the Domain
Model. The domain model describes the main concepts, entities and
objects in the domain of IoT system to be designed. Domain model
defines the attributes of the objects and relationships between
objects. Domain model provides an abstract representation of the
concepts, objects and entities in the IoT domain, independent of any
specific technology or platform. With the domain model, the IoT
system designers can get an understanding of the IoT domain for
which the system is to be designed.
7. Step 4: Information Model Specification
• The fourth step in the IoT design methodology is to define the
Information Model. Information Model defines the structure of all
the information in the IoT system, for example, attributes of Virtual
Entities, relations, etc. Information model does not describe the
specifics of how the information is represented or stored. To define
the information model, we first list the Virtual Entities defined in the
Domain Model. Information model adds more details to the Virtual
Entities by defining their attributes and relations.
8. Step 5: Service Specifications
• The fifth step in the IoT design methodology is to define the service
specifications. Service specifications define the services in the IoT
system, service types, service inputs/output, service endpoints,
service schedules, service preconditions and service effects.
9. Step 6: IoT Level Specification
• The sixth step in the IoT design methodology is to define the IoT level
for the system. In Chapter-1, we defined five IoT deployment levels.
10. Step 7: Functional View Specification
• The seventh step in the IoT design methodology is to define the
Functional View. The Functional View (FV) defines the functions of
the IoT systems grouped into various Functional Groups (FGs). Each
Functional Group either provides functionalities for interacting with
instances of concepts defined in the Domain Model or provides
information related to these concepts.
11. Step 8: Operational View Specification
• The eighth step in the IoT design methodology is to define the
Operational View Specifications. In this step, various options
pertaining to the IoT system deployment and operation are defined,
such as, service hosting options, storage options, device options,
application hosting options, etc
12. Step 9: Device & Component Integration
• The ninth step in the IoT design methodology is the integration of the
devices and components.
13. Step 10: Application Development
• The final step in the IoT design methodology is to develop the IoT
application.
15. Step:1 - Purpose & Requirements
• Applying this to our example of a smart home automation system, the
purpose and requirements for the system may be described as follows:
• Purpose : A home automation system that allows controlling of the lights in a home
remotely using a web application.
• Behavior : The home automation system should have auto and manual modes. In
auto mode, the system measures the light level in the room and switches on the
light when it gets dark. In manual mode, the system provides the option of manually
and remotely switching on/off the light.
• System Management Requirement : The system should provide remote monitoring
and control functions.
• Data Analysis Requirement : The system should perform local analysis of the data.
• Application Deployment Requirement : The application should be deployed locally
on the device, but should be accessible remotely.
• Security Requirement : The system should have basic user authentication capability.
25. Step 10: Application Development
• Auto
• Controls the light appliance automatically based on the lighting
conditions in the room
• Light
• When Auto mode is off, it is used for manually controlling the
light appliance.
• When Auto mode is on, it reflects the current state of the light
appliance.
26. Implementation: RESTful Web Services
# Models – models.py
from django.db import models
class Mode(models.Model):
name = models.CharField(max_length=50)
class State(models.Model):
name = models.CharField(max_length=50)
# Serializers – serializers.py
from myapp.models import Mode, State
from rest_framework import serializers
class ModeSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = Mode
fields = ('url', 'name')
class StateSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = State
fields = ('url', 'name')
REST services implemented with Django REST Framework
1. Map services to models. Model
fields store the states (on/off,
auto/manual)
2. Write Model serializers. Serializers allow
complex data (such as model instances) to be
converted to native Python datatypes that can
then be easily rendered into JSON, XML or
other content types.
27. Implementation: RESTful Web Services
# Views – views.py
from myapp.models import Mode, State
from rest_framework import viewsets
from myapp.serializers import ModeSerializer, StateSerializer
class ModeViewSet(viewsets.ModelViewSet):
queryset = Mode.objects.all()
serializer_class = ModeSerializer
class StateViewSet(viewsets.ModelViewSet):
queryset = State.objects.all()
serializer_class = StateSerializer
3. Write ViewSets for the Models which
combine the logic for a set of related views in
a single class.
# Models – models.py
from django.db import models
class Mode(models.Model):
name = models.CharField(max_length=50)
class State(models.Model):
name = models.CharField(max_length=50)
4. Write URL patterns for the services.
Since ViewSets are used instead of views, we
can automatically generate the URL conf by
simply registering the viewsets with a router
class.
Routers automatically determining how the
URLs for an application should be mapped to
the logic that deals with handling incoming
requests.
# URL Patterns – urls.py
from django.conf.urls import patterns, include, url
from django.contrib import admin
from rest_framework import routers
from myapp import views
admin.autodiscover()
router = routers.DefaultRouter()
router.register(r'mode', views.ModeViewSet)
router.register(r'state', views.StateViewSet)
urlpatterns = patterns('',
url(r'^', include(router.urls)),
url(r'^api-auth/', include('rest_framework.urls', namespace='rest_framework')),
url(r'^admin/', include(admin.site.urls)),
url(r'^home/', 'myapp.views.home'),
)
28. Implementation: RESTful Web Services
Screenshot of browsable
State REST API
Screenshot of browsable
Mode REST API
29. Implementation: Controller Native Service
#Controller service
import RPi.GPIO as GPIO
import time
import sqlite3 as lite
import sys
con = lite.connect('database.sqlite')
cur = con.cursor()
GPIO.setmode(GPIO.BCM)
threshold = 1000
LDR_PIN = 18
LIGHT_PIN = 25
def readldr(PIN):
reading=0
GPIO.setup(PIN, GPIO.OUT)
GPIO.output(PIN, GPIO.LOW)
time.sleep(0.1)
GPIO.setup(PIN, GPIO.IN)
while (GPIO.input(PIN)==GPIO.LOW):
reading=reading+1
return reading
def switchOnLight(PIN):
GPIO.setup(PIN, GPIO.OUT)
GPIO.output(PIN, GPIO.HIGH)
def switchOffLight(PIN):
GPIO.setup(PIN, GPIO.OUT)
GPIO.output(PIN, GPIO.LOW)
def runAutoMode():
ldr_reading = readldr(LDR_PIN)
if ldr_reading < threshold:
switchOnLight(LIGHT_PIN)
setCurrentState('on')
else:
switchOffLight(LIGHT_PIN)
setCurrentState('off')
def runManualMode():
state = getCurrentState()
if state=='on':
switchOnLight(LIGHT_PIN)
setCurrentState('on')
elif state=='off':
switchOffLight(LIGHT_PIN)
setCurrentState('off')
def getCurrentMode():
cur.execute('SELECT * FROM myapp_mode')
data = cur.fetchone() #(1, u'auto')
return data[1]
def getCurrentState():
cur.execute('SELECT * FROM myapp_state')
data = cur.fetchone() #(1, u'on')
return data[1]
def setCurrentState(val):
query='UPDATE myapp_state set name="'+val+'"'
cur.execute(query)
while True:
currentMode=getCurrentMode()
if currentMode=='auto':
runAutoMode()
elif currentMode=='manual':
runManualMode()
time.sleep(5)
Native service deployed locally
1. Implement the native service in
Python and run on the device
32. Finally - Integrate the System
Django Application
REST services implemented with Django-REST framework
Native service implemented in Python
SQLite Database
Raspberry Pi device to which sensors and actuators are connected
OS running on Raspberry Pi
• Setup the device
• Deploy and run the REST and Native services
• Deploy and run the Application
• Setup the database