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.
Artificial Intelligence: Introduction, Typical Applications. State Space Search: Depth Bounded
DFS, Depth First Iterative Deepening. Heuristic Search: Heuristic Functions, Best First Search,
Hill Climbing, Variable Neighborhood Descent, Beam Search, Tabu Search. Optimal Search: A
*
algorithm, Iterative Deepening A*
, Recursive Best First Search, Pruning the CLOSED and OPEN
Lists
The slides defines IoT and show the differnce between M2M and IoT vision. It then describes the different layers that depicts the functional architecture of IoT, standard organizations and bodies and other IoT technology alliances, low power IoT protocols, IoT Platform components, and finally gives a short description to one of IoT low power application protocols (MQTT).
Artificial Intelligence: Introduction, Typical Applications. State Space Search: Depth Bounded
DFS, Depth First Iterative Deepening. Heuristic Search: Heuristic Functions, Best First Search,
Hill Climbing, Variable Neighborhood Descent, Beam Search, Tabu Search. Optimal Search: A
*
algorithm, Iterative Deepening A*
, Recursive Best First Search, Pruning the CLOSED and OPEN
Lists
The slides defines IoT and show the differnce between M2M and IoT vision. It then describes the different layers that depicts the functional architecture of IoT, standard organizations and bodies and other IoT technology alliances, low power IoT protocols, IoT Platform components, and finally gives a short description to one of IoT low power application protocols (MQTT).
IoT Training in Chennai from basics to advanced techniques which is taught by experienced working professionals. India's Top Rated IoT Training Institute in Chennai offers realtime practical Internet of Things Training. Our trainings are 100% job assured.
The Internet of Things (IoT) is an extremely complex technical environment—involving millions of sensors and big data—in which QA plays a hugely important role and goes beyond merely validating working sets of device software. A comprehensive IoT QA strategy includes addressing both the device interaction layer (covering standards, interoperability and security) and the user interaction layer (covering network capabilities, the user experience and the back-end IoT environment) and doing performance, security, compatibility and exploratory testing across the IoT ecosystem.
The Internet of things describes physical objects that are embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.
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product are shipped with closed proprietary software, and the interoperability between them is
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propose a model of ubiquitous monitoring system for network technical room. This model
allows monitoring the network technical room remotely, via variable terminal devices and
variable communication infrastructure. The model has been implemented in Hanoi University of
Science and Technology (HUST) Network Information Centre with IP Cameras and RFID
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Functional requirements of intelligent object frameworkijscai
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Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
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1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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- A fully editable and extendable library for grid component modelling;
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- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
2. IOT Design Methodology Includes
Purpose and Requirement Specification
Process Specification
Domain Model Specification
Information Model Specification
Service Specification
IOT Level Specification
Functional View Specification
Operational View Specification
Device and Component integration
Application Development
5. 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.
6. 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 fromthe purpose and
requirement specifications.
9. Domain model Specification
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.
10. Domain model Specification
The entities, objects and concepts defined in the domain model include:
Physical Entity : Physical Entity is a discrete and identifiable entity in the
physical environment (e.g. a room, a light, an appliance, a car, etc.).
Virtual Entity : Virtual Entity is a representation of the Physical Entity in
the digital world.
Device :provides a medium for interactions between Physical Entities and
Virtual Entities. Devices are either attached to Physical Entities or placed
near Physical Entities.
11. Domain model Specification
Resource : Resources are software components which can be either "on-
device" or "network-resources". On-device resources are hosted on the device
and include software components that either provide information on or
enable actuation upon the Physical Entity to which the device is attached.
Service : Services provide an interface for interacting with the Physical
Entity. Services access the resources hosted on the device or the network
resources to obtain information about the Physical Entity or perform
actuation upon the Physical Entity.
12.
13. Information model specification
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.
16. 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.
17.
18. 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
21. Functional viewSpecification
The Functional Groups (FG) included in a Functional View include:
Device : The device FG contains devices for monitoring and control. In the home
automation example. the device FG includes a single board mini-computer, a light
sensor and relay switch(actuator).
Communication : The communication FG handles the communication for the IoT
system. The communication FG includes the communication protocols that form
the backbone of IoT systems and enable network connectivity.
The communication FG also includes the communication APis (such as REST and
WebSocket) that are used by the services and applications to exchange data over
the network.
22. Functional viewSpecification
Services : The service FG includes various services involved in the IoT system
such as services for device monitoring , device control services, data publishing
services and services for device discovery.
Management : The management FG includes all functionalities that are needed to
configure and manage the loT system .
Security : The security FG includes security mechanisms for the loT system
such as authentication, authorization, data security, etc.
Application : The application FG includes applications that provide an interface to
the users to control and monitor various aspects of the IoT system. Applications
also allow users to view the system status and the processed data.
23.
24.
25. Operational View Specification
Operation view address how an actual system can be realized by using devices and
technologies among many options and making them communicate and operate in an
efficient manner.
Devices options: Arduino, PIR Sensor, LED. Buzzer, Camera, Raspberry PI are
needed for further enhancement.
Communication options: network layer-IPV4, MQTT
Services options: Web Service.
26. Operational View Specification
Application options: It is out of scope for the project but as discussed earlier, Node-
red web application can be realized.
Security options: Two-phase authentication and authorization.
Device and Component Integration: This section is all about integrating the devices
and components. The devices and components used in are Arduino, PIR sensor, and
LED.
28. Device and Component Integration
The ninth step in the IoT design methodology is the integration of the
devices and components.
It integrates the devices and components and draws a schematic diagram
showing the same.
The following diagram shows the component & device integration.
31. Application Development
The final step in the IoT design methodology is to develop the IoT
application.
Application development is the process of designing, building, and
implementing software applications. It can be done by massive
organizations with large teams working on projects, or by a single
freelance developer. Application development defines the process of how
the application is made, and generally follows a standard methodology.
32. Examples of IoT in Real Life
Wearable Health Monitors Disaster Management
33. Examples of IoT in Real Life
Biometric Security Systems Smart Cars