This document outlines the syllabus for a course on developing Internet of Things (IoT). It discusses IoT design methodology, physical IoT devices and endpoints like Raspberry Pi, and cloud offerings for IoT including cloud storage models, Web Application Messaging Protocol, Xively cloud, Python frameworks like Django, and Amazon Web Services. It also discusses the SkyNet IoT messaging platform.
This presentation introduces to the world of hardware everyone can use to get stated with Internet of Things (IoT) such as Arduino, Raspberry Pi and ESP8266.
Finding a scalable open-source IoT framework that reliably and securely connects your devices to the cloud while fitting your business needs, not dictating them, turns out to be a little more challenging than it first looks.
For a business or professional service, an IoT system needs to be able to offer four things
1) Scalability
Be able to scale the solution in a manner that doesn't have operating costs/bandwidth run out of control.
2) Be secure
Operate in a secure environment that prevents the system losing date or being hi-jacked.
3) Use open-standards throughout
Be based on open-source standards to avoid proprietary lock-in and allow the business to control its own destiny, contribute, collaborate, partner or quickly and easily find help in the community, if required.
4) Manage & Inter-operate
The framework must allow that allow remote day-to-day device management and interoperability with other sensors & systems
Find out more about how the Creator IoT Framework meets these challenges
This presentation introduces to the world of hardware everyone can use to get stated with Internet of Things (IoT) such as Arduino, Raspberry Pi and ESP8266.
Finding a scalable open-source IoT framework that reliably and securely connects your devices to the cloud while fitting your business needs, not dictating them, turns out to be a little more challenging than it first looks.
For a business or professional service, an IoT system needs to be able to offer four things
1) Scalability
Be able to scale the solution in a manner that doesn't have operating costs/bandwidth run out of control.
2) Be secure
Operate in a secure environment that prevents the system losing date or being hi-jacked.
3) Use open-standards throughout
Be based on open-source standards to avoid proprietary lock-in and allow the business to control its own destiny, contribute, collaborate, partner or quickly and easily find help in the community, if required.
4) Manage & Inter-operate
The framework must allow that allow remote day-to-day device management and interoperability with other sensors & systems
Find out more about how the Creator IoT Framework meets these challenges
Student will be able to know that fundamental concepts behind computer organization. this PPT includes the following topics: Introduction
Functional Units of Computer
Number Representation and Arithmetic Operations
Memory Location and Addresses
Addressing Modes
Pipelining
Memory Hierarchy
I/O Organization
Control Signals Generation
20 Latest Computer Science Seminar Topics on Emerging TechnologiesSeminar Links
A list of Top 20 technical seminar topics for computer science engineering (CSE) you should choose for seminars and presentations in 2019. The list also contains related seminar topics on the emerging technologies in computer science, IT, Networking, software branch. To download PDF, PPT Seminar Reports check the links.
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).
Authors: Arshdeep Bahga, Vijay Madisetti
Paperback: 446 pages
Publisher: VPT; 1 edition (August 9, 2014)
Language: English
ISBN-10: 0996025510
ISBN-13: 978-0996025515
Product Dimensions: 10 x 7 x 1 inches
Book Website: www.internet-of-things-book.com
Availabile on: www.amazon.com/dp/0996025510
Internet of Things (IoT) refers to physical and virtual objects that have unique identities and are connected to the internet to facilitate intelligent applications that make energy, logistics, industrial control, retail, agriculture and many other domains "smarter". Internet of Things is a new revolution of the Internet that is rapidly gathering momentum driven by the advancements in sensor networks, mobile devices, wireless communications, networking and cloud technologies. Experts forecast that by the year 2020 there will be a total of 50 billion devices/things connected to the internet.
This book is written as a textbook on Internet of Things for educational programs at colleges and universities, and also for IoT vendors and service providers who may be interested in offering a broader perspective of Internet of Things to accompany their own customer and developer training programs. The typical reader is expected to have completed a couple of courses in programming using traditional high-level languages at the college-level, and is either a senior or a beginning graduate student in one of the science, technology, engineering or mathematics (STEM) fields. Like our companion book on Cloud Computing, we have tried to write a comprehensive book that transfers knowledge through an immersive "hands on" approach, where the reader is provided the necessary guidance and knowledge to develop working code for real-world IoT applications.
In this presentation André Faria, CEO at Bluesoft, presented to his team a introduction to the AWS ecosystem and talked about all the new announcements AWS have made in the event AWS re:Invent 2017 that took place in Las Vegas.
Student will be able to know that fundamental concepts behind computer organization. this PPT includes the following topics: Introduction
Functional Units of Computer
Number Representation and Arithmetic Operations
Memory Location and Addresses
Addressing Modes
Pipelining
Memory Hierarchy
I/O Organization
Control Signals Generation
20 Latest Computer Science Seminar Topics on Emerging TechnologiesSeminar Links
A list of Top 20 technical seminar topics for computer science engineering (CSE) you should choose for seminars and presentations in 2019. The list also contains related seminar topics on the emerging technologies in computer science, IT, Networking, software branch. To download PDF, PPT Seminar Reports check the links.
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).
Authors: Arshdeep Bahga, Vijay Madisetti
Paperback: 446 pages
Publisher: VPT; 1 edition (August 9, 2014)
Language: English
ISBN-10: 0996025510
ISBN-13: 978-0996025515
Product Dimensions: 10 x 7 x 1 inches
Book Website: www.internet-of-things-book.com
Availabile on: www.amazon.com/dp/0996025510
Internet of Things (IoT) refers to physical and virtual objects that have unique identities and are connected to the internet to facilitate intelligent applications that make energy, logistics, industrial control, retail, agriculture and many other domains "smarter". Internet of Things is a new revolution of the Internet that is rapidly gathering momentum driven by the advancements in sensor networks, mobile devices, wireless communications, networking and cloud technologies. Experts forecast that by the year 2020 there will be a total of 50 billion devices/things connected to the internet.
This book is written as a textbook on Internet of Things for educational programs at colleges and universities, and also for IoT vendors and service providers who may be interested in offering a broader perspective of Internet of Things to accompany their own customer and developer training programs. The typical reader is expected to have completed a couple of courses in programming using traditional high-level languages at the college-level, and is either a senior or a beginning graduate student in one of the science, technology, engineering or mathematics (STEM) fields. Like our companion book on Cloud Computing, we have tried to write a comprehensive book that transfers knowledge through an immersive "hands on" approach, where the reader is provided the necessary guidance and knowledge to develop working code for real-world IoT applications.
In this presentation André Faria, CEO at Bluesoft, presented to his team a introduction to the AWS ecosystem and talked about all the new announcements AWS have made in the event AWS re:Invent 2017 that took place in Las Vegas.
Cross platform mobile backend with mobile servicesJames Quick
Interested in developing cross platform mobile apps? Have you thought about how to connect your apps in the back end? Your app does not become very powerful without data powering it. Azure Mobile Services is quick and easy, but powerful, way to provide data storage (accessible through REST API calls), Push Notifications, and authentication with Microsoft Accounts. All of this functionality works on each of the top mobile platforms, including Android, iOS, and Windows! We will take a look at the Azure portal as well as the tooling built into Visual Studio giving you, the developer, a couple of different options for setting up your backend and quickly putting you on your way to making your first cross platform mobile app!
This session will be an early opportunity to get a look at the new Universal Windows Platform as well as Visual Studio Community 2015.
OpenSource API Server based on Node.js API framework built on supported Node.js platform with Tooling and DevOps. Use cases are Omni-channel API Server, Mobile Backend as a Service (mBaaS) or Next Generation Enterprise Service Bus. Key functionality include built in enterprise connectors, ORM, Offline Sync, Mobile and JS SDKs, Isomorphic JavaScript and Graphical API creation tool.
Using an Open Source RESTful Backend for IoT ApplicationsJan Liband
Presentation from IoT DevCon 2015 explaining how an open source RESTful backend can be used for IoT applications. Presented by Bill Appleton, DreamFactory CEO and co-founder.
Building IoT Apps in the Cloud WebinarDreamFactory
Ben Busse of DreamFactory and Nat Frampton of FramTack talk about architecting IoT apps in the cloud, including:
- How FramTack is architecting IoT apps for the cloud
- The importance of open standards for IoT
- How DreamFactory helps FramTack develop and deploy IoT apps in the cloud
- Demo of FramTack's Solution Family product for IoT
You can also view the webinar recording here https://www.youtube.com/watch?v=SYd6wcMt_aQ
Enabling Microservices Frameworks to Solve Business ProblemsKen Owens
Opening keynote at Mesoscon 2015 with announcements on creating an ecosystem for developing solutions to business problems leveraging Mesos, Mantl.io, Mesosphere Infinity, ZoomData, and Project Calico to create Fog nodes for IoE use cases.
My TechDays 2015 in the Netherlands session. There is more then Cloud services alone on the Azure platform and there are multiple solutions for your application.
Let's talk about what Microsoft has to offer as a platform to help you build an Internet of Things solution. Mainly about Azure cloud but also Machine Learning, Cognitive Services, Windows, Hololens, Open Source
Discover MongoDB Atlas and MongoDB Stitch - DEM02-S - Mexico City AWS SummitAmazon Web Services
Learn about the modernization of application development using the MongoDB platform on AWS. In this session, discover key capabilities of MongoDB Atlas for on-demand cluster deployment, high availability, horizontal scalability, and geographically distributed operations. Additionally, learn how to quickly build a website or mobile application that is backed by MongoDB and that uses the MongoDB Stitch serverless platform.
Data & AI Platforms — Open Source Vs Managed Services (AWS vs Azure vs GCP)Ankit Rathi
While designing and building Data & AI platforms, you may need to evaluate the options available. Whether your platform would be on-premise or you could use cloud/s services or you would take a hybrid approach.
In any case, you may need to look and evaluate various tools & services for your ingestion, storage, process/analysis and serving layers.
In this post, I have mapped open-source and popular managed cloud services to make our evaluation process a bit easier.
Edge computing and the Internet of Things bring great promise, but often just getting data from the edge requires moving mountains. Let's learn how to make edge data ingestion and analytics easier using StreamSets Data Collector edge, an ultralight, platform independent and small-footprint Open Source solution written in Go for streaming data from resource-constrained sensors and personal devices (like medical equipment or smartphones) to Apache Kafka, Amazon Kinesis and many others. This talk includes an overview of the SDC Edge main features, supported protocols and available processors for data transformation, insights on how it solves some challenges of traditional approaches to data ingestion, pipeline design basics, a walk-through some practical applications (Android devices and Raspberry Pi) and its integration with other technologies such as Streamsets Data Collector, Apache Kafka, Apache Hadoop, InfluxDB and Grafana. The goal here is to make attendees ready to quickly become IoT data intake and SDC Edge Ninjas.
Speaker
Guglielmo Iozzia, Big Data Delivery Manager, Optum (United Health)
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
5. IoT Physical devices and endpoints
Building blocks of an IoT
Exemplary Devices: Raspberry pi
Raspberry Pi interfaces
Programming Raspberry pi with pyton
Other IoT devices
6. What is an IoT device
Things in IoT
things refers IoT devices which have unique identities to perform
Remote sensing
Actuating
Monitoring capabilities
IoT devices exchange data or collect data and process the data
either locally or send to centralized servers or cloud based
application back ends
7. Basic building blocks of an IoT device
Sensing
Actuation
Communication
Analysis and Processing
8. Raspberry Pi
Low cost mini computer with physical size of a credit card
Runs various flavors of Linux image
Raspberry pi allows interfacing sensors and actuators
using general purpose I/O pins
Uses python programming
9. About the board
Processor and RAM
USB Ports
Ethernet ports
HDMI Output
Composite Video Output
Audio Output
GPIO pins
Display Serial Interface(DSI)
Camera Serial Interface(CSI)
Status LEDS
SD card slot
Power input
10.
11. Linux on Raspberry Pi
Raspberry pi supports various flovors of Linux image.
Raspian Linux (Debian wheezy port optimized for raspberry pi)
Arch Linux port for AMD devices
Pidora Linux is a Fedora Linux
RaspBMC is an XBMC media center distribution for Raspberry pi
Open ELEC is fast userfriendly
RISC OS fast and compact
12. Raspberry pi interfaces
Serial
Receive and transmit pins
SPI(Serial Pheripheral Interface)
MISO(Master in slave out)
MOSI(Master out slave in)
SCK(serial clock)
CE0(chip enable 0)
CE1(chip enable 1)
I2C
two pins
1) SDA (data line)
2)SCL(clock Line)
13. Cloud computing for IoT
Cloud storage models and communication
Web Application Messaging Protocol(WAMP)
Xively cloud for IoT
Python web application framework-Django
Developing applications woth Django
Developing REST web services
Amazon Web services for IoT
SkyNet IoT Messaging Platform
14. Cloud storage models and communication
Cloud computing is a model for enabling uniquitous,
convenient, on demand network access to a shared pool
of configurable computing resourses(e.g, networks,
servers, storage, applications and services)
15. WAMP-AutoBahn for IoT
Web Application Messaging Protocol(WAMP) is a sub
protocol of websocket which provides publish subscribe
and RPC messaging patterns.
20. Xively libraries leverage standards based API over HTTP,
sockets and MQTT for connecting IoT devices to xively
cloud.
Xively uses python libraries.
Xively uses Feed ID and API key to connect to the device.
Each device has unique Feed ID (collection of channels
and datastreams defined for a device and associated
meta data)
21. Python web application framework-Django
Xively for PaaS for collecting and processing data from
IoT system in the cloud.
Xively cloud or any other data collection systems would
require some type of web application framework.
Django is an open source web application framework for
developing web applications in Python.
A “web application framework” is a collection of
solutions, packages and best practices that allows
development of web applications and dynamic websites
22. Django is based on the well known Model-Template-view
architechture.
Provides a separation of the data model from the
business rules
Django provides unified API to a database backend.
Django works with different databases without requiring
any code changes.
Provide flexibility in web application design
Best suited for IoT applications
24. Amazon Web services for IoT
Amazon EC2 (provides IaaS)
Amazon Autoscaling (scaling Amazon EC2 capacity up
and down)
Amazon S3(online cloud based data storage
infrastructure)
Amazon RDS(web service for to create MySQL, Oracle or
Microsoft SQL server in the cloud)
25. Amazon Web services for IoT
Amazon Dynamo DB(no SQL database – scalable data
storage for IoT)
Amazon kinesis(real time processing of Streaming data)
Amazon SQS(queue system that stores and releases
messages in a scalable manner)
Amazon EMR(webservice that utilizes Hadoop framework
for running Amazon EC2 and Amazon S3)
30. Amazon Dynamo DB(no SQL database)
Amazon dynamo DB is a fully managed scalable high
performance No SQL database service.
Scalable data store for IoT
IoT system developers can store any amount of data and
serve any level of requests for the data.
Dynamo DB established by calling
boto.dynamodb.connect_to_region.
A schema for the new table is created by calling
conn.create_schema
32. Amazon SQS
Amazon SQS offers
Scalable
Reliable
Hosted queue for storing messages as travel between distinct
components of applications.
Similar to amazon kinesis
SQS is simply a queue system that stores and releases messages
in a scalable manner.
SQS service estblished by calling boto.sqs.connect_to_region
To create a new queue conn.create_queue funcion used.
To retrieve SQS queues conn.get_all_queues
33. Amazon EMR
Amazon EMR is a web service that utilizes Hadoop
Framework running on Amazon EC2 and Amazon S3.
EMR allows processing of massive scale data
Suitable for iot applications
Generate large volume of data that needs to be analyzed.
Data processing jobs are formulated with the MapReduce
parallel data processing model.
34. SkyNet IoT Messaging Platform
Open source instant messaging platform for IoT.
SkyNet API supports both HTTP REST and real-time web
sockets.
Need to register devises on the network.
Device can be anything including
Sensors
Smart home devices
Cloud resources
Drones
35. SkyNet IoT Messaging Platform
Each device in skyNet assigned UUID and secret token.
Devices and client application can suscribe to other
devices and receive/send messages.
36.
37. REFER NOTES SECTION OF THIS SLIDE
Arshdeep Bahga, Vijay Madisetti, “Internet of Things, A
Hands -on Approach”, 1st Edition 2015, University Press,
ISBN: 978-81-7371- 954-7
37
