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, outlining the purpose, behavior, and requirements in step 1. Steps 2-10 are then summarized for the home automation example, covering process specification through application development using RESTful web services, a native Python controller service, and a Django application frontend. Finally, it notes how the full system would be integrated using these components on a Raspberry Pi device.
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).
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).
This presentation goes through several topics areas that are of specific interest in developing IoT Gateway solutions. IoT is a popular area of development that presents unique challenges like hardware and operating system selection, product life-cycle support and maintainability, software architectural solutions, connectivity, security, secure updates, and API availability. We discuss technologies and concepts like Hardware acceleration support, Linux kernel maintenance, Edge networking, LXC/Docker/KVM, Zigbee, 6loPAN, BLE, IoTivity, Allseen Alliance, SELinux and Trusted boot.
The aim of the presentation is to give an overview of the challenges in building an IoT Gateway and the Solutions available using Embedded Linux.
This presentation was delivered at LinuxCon Japan 2016 by Jim Gallagher
This is a technical presentation describing two protocols namely MQTT and CoAP for IoT communications. This explains the protocols in conjunction with OSI layers.
IoT how it works, IoT Perspectives, IoT technologies, IoT architecture, IoT protocols, IoT applications, sensor as service model, IoT data flow, IoT functional view, IoT analogy, IoT taxanomy of research
IoT design considerations
This presentation goes through several topics areas that are of specific interest in developing IoT Gateway solutions. IoT is a popular area of development that presents unique challenges like hardware and operating system selection, product life-cycle support and maintainability, software architectural solutions, connectivity, security, secure updates, and API availability. We discuss technologies and concepts like Hardware acceleration support, Linux kernel maintenance, Edge networking, LXC/Docker/KVM, Zigbee, 6loPAN, BLE, IoTivity, Allseen Alliance, SELinux and Trusted boot.
The aim of the presentation is to give an overview of the challenges in building an IoT Gateway and the Solutions available using Embedded Linux.
This presentation was delivered at LinuxCon Japan 2016 by Jim Gallagher
This is a technical presentation describing two protocols namely MQTT and CoAP for IoT communications. This explains the protocols in conjunction with OSI layers.
IoT how it works, IoT Perspectives, IoT technologies, IoT architecture, IoT protocols, IoT applications, sensor as service model, IoT data flow, IoT functional view, IoT analogy, IoT taxanomy of research
IoT design considerations
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
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.
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Lesson teached at Università di Roma Tre - Software Engineering course.
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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.
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.
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.
Similar to [PPT] _ Unit 2 _ 9.0 _ Domain Specific IoT _Home Automation.pdf (20)
This PPT is very much useful for practitioners who are all making products and services to society. Mangers think innovatively and come up with innovative ideas. It is a 5 stage processing also called a design thinking process. The stages are empathize, define, ideate, prototype and test.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
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Data file handling has been effectively used in the program.
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We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
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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