This document outlines a course on IoT - Sensors and Devices. The course aims to expose students to fundamental concepts of microcontrollers and interfacing to help implement IoT in real-time. The course contains 6 units that cover IoT fundamentals, analyzing microcontroller usage, using sensors and actuators for requirements, communication protocols, cloud services, and conducting experiments safely and effectively. The course description provides more details on establishing a strong foundation for IoT implementation.
The document discusses using Python as a programming framework for Internet of Things (IoT) applications. It describes Micropython, an implementation of Python optimized for microcontrollers. Case studies presented include using an ESP32 microcontroller to build a remote controlled robot and a smart thermostat. The document advocates that Python is well-suited for rapid prototyping of IoT solutions due to its large library of modules, simple syntax, and ability to port code across different hardware platforms.
Here's how big data and the Internet of Things work together: a vast network of sensors (IoT) collect a boatload of information (big data) that is then used to improve services and products in various industries, which in turn generate revenue.
This document discusses the key building blocks needed to enable the Internet of Things (IoT). It outlines four main categories of IoT applications: 1) remote tracking/monitoring and control, 2) process control and optimization, 3) resource allocation and optimization, and 4) context-aware automation and decision making. The main building blocks are then described in more detail: 1) sensing nodes to collect data, 2) local embedded processing nodes to analyze the data, 3) connectivity nodes to communicate wired or wirelessly, 4) software to automate tasks, and 5) remote processing nodes in the cloud. Microcontroller units are discussed as ideal local processing nodes due to requirements for energy efficiency, software ecosystems, cost effectiveness, quality,
This document provides an overview of optimizing IP for IoT networks. It discusses how IP can be adapted or adopted for devices. It also describes constraints of IoT nodes and networks and how IP is optimized through protocols like 6LoWPAN, 6TiSCH, and RPL. It covers adaptation layers, packet headers, forwarding methods, and scheduling in these protocols. Authentication, application protocols like MQTT and CoAP, and the work of IETF groups on standards for IoT are also summarized.
IoT Challenges: Technological, Business and Social aspectsRoberto Minerva
Internet of Things is promising to be a set of technologies able to have a high impact on how people live, produce, modify and interact with the environment. Such a transformation is driven by increasing technologies capabilities of sensors/actuators, communications, general-purpose hardware, availability of software and programmability of devices. The integration of so different technologies is a problem in itself and IoT is also trying to solve cogent issues of specific problem domains, such as e-health, transportation, manufacturing, and so on. Large IoT systems (e.g., smart cities) stand on their own because the smartness requires integration of different technologies, processes and different administrative domains creating the needs to deal with a complex system. In addition to technological and problem domain specific challenges, there exist further challenges that fall in business, social and regulation realms. They can greatly impact the deployment and the success of IoT deployment. The speech aims at providing a view on some major technologies challenges of IoT and to cover a few critical business and social issues that could hamper the large deployment of IoT systems by providing some examples of implementation.
The document discusses using Python as a programming framework for Internet of Things (IoT) applications. It describes Micropython, an implementation of Python optimized for microcontrollers. Case studies presented include using an ESP32 microcontroller to build a remote controlled robot and a smart thermostat. The document advocates that Python is well-suited for rapid prototyping of IoT solutions due to its large library of modules, simple syntax, and ability to port code across different hardware platforms.
Here's how big data and the Internet of Things work together: a vast network of sensors (IoT) collect a boatload of information (big data) that is then used to improve services and products in various industries, which in turn generate revenue.
This document discusses the key building blocks needed to enable the Internet of Things (IoT). It outlines four main categories of IoT applications: 1) remote tracking/monitoring and control, 2) process control and optimization, 3) resource allocation and optimization, and 4) context-aware automation and decision making. The main building blocks are then described in more detail: 1) sensing nodes to collect data, 2) local embedded processing nodes to analyze the data, 3) connectivity nodes to communicate wired or wirelessly, 4) software to automate tasks, and 5) remote processing nodes in the cloud. Microcontroller units are discussed as ideal local processing nodes due to requirements for energy efficiency, software ecosystems, cost effectiveness, quality,
This document provides an overview of optimizing IP for IoT networks. It discusses how IP can be adapted or adopted for devices. It also describes constraints of IoT nodes and networks and how IP is optimized through protocols like 6LoWPAN, 6TiSCH, and RPL. It covers adaptation layers, packet headers, forwarding methods, and scheduling in these protocols. Authentication, application protocols like MQTT and CoAP, and the work of IETF groups on standards for IoT are also summarized.
IoT Challenges: Technological, Business and Social aspectsRoberto Minerva
Internet of Things is promising to be a set of technologies able to have a high impact on how people live, produce, modify and interact with the environment. Such a transformation is driven by increasing technologies capabilities of sensors/actuators, communications, general-purpose hardware, availability of software and programmability of devices. The integration of so different technologies is a problem in itself and IoT is also trying to solve cogent issues of specific problem domains, such as e-health, transportation, manufacturing, and so on. Large IoT systems (e.g., smart cities) stand on their own because the smartness requires integration of different technologies, processes and different administrative domains creating the needs to deal with a complex system. In addition to technological and problem domain specific challenges, there exist further challenges that fall in business, social and regulation realms. They can greatly impact the deployment and the success of IoT deployment. The speech aims at providing a view on some major technologies challenges of IoT and to cover a few critical business and social issues that could hamper the large deployment of IoT systems by providing some examples of implementation.
Blockchain use cases in 2022 real world industry applicationsArpitGautam20
These are interesting predictions and real-world industry applications of Blockchain Technology that will take the world by storm in 2022! https://arsr.tech/blockchain-use-cases-in-2022-real-world-industry-applications/
The document outlines a plan for presenting on the topic of the Internet of Things (IoT). It begins with defining IoT as the network of physical objects embedded with sensors that can collect and exchange data over existing network infrastructure. It then lists the following key points that will be covered in the presentation: how IoT works by leveraging technologies like RFID, sensors, and embedded processing; the current status and future prospects of IoT; how IoT can help turn data into wisdom through knowledge management; potential applications of IoT in various industries; technological challenges facing IoT development; and criticisms around privacy, security, and control issues with a ubiquitous IoT network.
The document provides an introduction to the Internet of Things (IoT). It defines IoT as the network of physical objects embedded with sensors that enables the collection and exchange of data over existing network infrastructure. The document outlines key applications of IoT in various domains like industrial automation, smart homes, smart cities, etc. It also discusses some of the main challenges and issues around privacy, standardization, and energy sources for IoT devices. Finally, it provides a timeline of the evolution of smart, connected things and envisions the future growth of IoT.
The document discusses the Internet of Things (IoT) and provides an overview of some key concepts. It defines IoT as connecting billions of devices by 2020 and describes examples like Nest products and smart refrigerators. It also covers basic microelectronics, the .NET Micro Framework for programming microcontrollers, and how to connect devices to the internet using gateways.
Networks connect devices using common protocols to exchange data. They allow information to be sent from one location to another through nodes and channels. The first wireless networks used analog signals for voice and music broadcasts (1G), while later generations introduced digital communications and increased data rates, with 3G networks combining voice and high-bandwidth data. Network topologies determine the shape of the network and the relationship between nodes, with common topologies including star, tree, ring, mesh, bus, and hybrid combinations of these. Networks are also classified by size from personal area networks (PANs) covering a single person up to regional area networks (RANs) spanning large regions.
The document provides an overview of Internet of Things (IoT) concepts, including definitions, visions, frameworks and components. It discusses the basic building blocks of an IoT system including physical objects, sensors, controllers and connectivity to the internet. It also describes diverse IoT technologies related to hardware, software, communication protocols, platforms and applications. Specific examples covered include smart homes, machine-to-machine systems, industrial IoT and smart cities.
The document discusses the requirements for an automated home system. It will allow control of lights, audio/video, HVAC, and security through touchscreens, wireless remotes, or voice recognition. Sensors will detect issues like gases, smoke, vibrations or motions and trigger alarms and safety responses. The system will be designed using a component-based model with class diagrams to define classes for the main system and each subsystem. Pseudocode is provided for sample detection and response codes. The team of 10 members will implement and validate the system.
Anomaly detection is a topic with many different applications. From social media tracking, to cybersecurity, anomaly detection (or outlier detection) algorithms can have a huge impact in your organisation.
For the video please visit: https://www.youtube.com/watch?v=XEM2bYYxkTU
This slideshare has been produced by the Tesseract Academy (http://tesseract.academy), a company that educates decision makers in deep technical topics such as data science, analytics, machine learning and blockchain.
If you are interested in data science and related topics, make sure to also visit The Data Scientist: http://thedatascientist.com.
Introduction to Blockchain and Smart ContractsSaad Zaher
Blockchain & Smart Contracts! This document provides an introduction to blockchain and smart contracts. It discusses what a blockchain is, why many blockchains exist, consensus algorithms like proof of work and proof of stake, public versus private blockchains, smart contracts and how they work, examples of successful smart contracts, potential use cases, and CIT blockchain projects including Catena which provides blockchain as a service and an iRobot proof of concept.
This document discusses supply chain management and revenue management systems. It begins by defining supply chain management as handling the entire production flow from raw materials to delivering the final product to consumers. It then lists the goals of supply chain management as improving performance, responsiveness, relationships, efficiency, and profitability. It describes internal supply management as focused internally and external supply management as focused externally. It also outlines strategic, tactical, and operational planning models for logistics. Finally, it defines revenue management as using pricing, promotions, and other strategies to maximize profit by balancing supply and demand, and lists functions and processes involved in revenue management systems.
The internet of things (IoT) is the internetworking of physical devices, vehicles, buildings and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data.
Presentation from Grace Hopper Celebration 2016. Topic: Blockchain and Internet of Things (IoT) in the IBM Bluemix platform includes Demo. Speakers: Valerie Lampkin, Sumabala Nair and Carole Corley
M2M systems layers and designs standardizationsFabMinds
The document discusses standards and standardization bodies for Internet of Things (IoT) systems. The Internet Engineering Task Force (IETF), International Telecommunication Union (ITU-T), European Telecommunication Standards Institute (ETSI), and Open Geospatial Consortium (OGC) have all proposed standards and reference models for IoT layers, communication, and device/sensor capabilities. Specifically, ETSI defined domains and capabilities for machine-to-machine communication systems, while IETF, ITU-T, and OGC focused on network layers, transport protocols, and sensor discovery/metadata.
The document discusses the architecture of the Internet of Things (IoT). It describes the IoT as a network of physical objects embedded with sensors that can collect and exchange data. The document outlines the history and development of IoT and describes its layered architecture which includes device, network, service, and application layers. It provides examples of current and potential IoT applications in various sectors and discusses security and privacy issues regarding connected devices.
This presentation provides an overview of several important internet protocols:
- Internet Protocol (IP) delivers data packets from source to destination hosts and defines packet sizes. IPv4 and IPv6 are major versions.
- Transmission Control Protocol/Internet Protocol (TCP/IP) is a suite of protocols that govern how data travels across networks. It has two main components - TCP breaks data into packets and verifies delivery, while IP envelopes and addresses data.
- File Transfer Protocol (FTP) allows file transfers across TCP networks and uses separate control and data connections between clients and servers located on FTP servers.
- Hypertext Transfer Protocol (HTTP) governs web page transfers and uses URLs to identify and locate resources on the network
Simple Network Management Protocol by vikas jagtapVikas Jagtap
NETWORK MANAGEMENT can be defined as monitoring, testing, configuring and trouble shooting network components to meet a set of requirements defined by an organization.
Set of requirements include the smooth, efficient operation of the network that provides the predefined quality of service for users
The document discusses the major technologies and components behind IoT systems. It describes the various entities that provide IoT technologies, including hardware, IDEs for developing device software, communication protocols, network backbones, software, internet/cloud platforms, and machine learning algorithms. It outlines the five levels of an IoT system from device platforms to data analytics. Finally, it identifies the key components of an IoT system as physical objects with embedded software and hardware, sensors, control units, communication modules, and software to process messages and commands.
The document discusses Internet of Things (IoT) fundamentals including what IoT is, its genesis, how it relates to digitization, examples of IoT data analysis, and the impact of IoT. It then covers specific IoT applications and uses cases such as connected roadways, factories, buildings, and living creatures. It also discusses challenges with IoT such as network architecture, security, data management, and the convergence of IT and OT networks.
This document discusses Internet of Things (IoT). It defines IoT and explains that IoT allows internet connectivity and computing capability to extend to various objects and devices. It describes key characteristics of IoT including use of sensors, connectivity models like device-to-device and device-to-cloud, applications across various domains like healthcare, transportation, utilities and more. It also outlines advantages and disadvantages of IoT as well as security and other challenges in deploying IoT solutions at scale.
Blockchain use cases in 2022 real world industry applicationsArpitGautam20
These are interesting predictions and real-world industry applications of Blockchain Technology that will take the world by storm in 2022! https://arsr.tech/blockchain-use-cases-in-2022-real-world-industry-applications/
The document outlines a plan for presenting on the topic of the Internet of Things (IoT). It begins with defining IoT as the network of physical objects embedded with sensors that can collect and exchange data over existing network infrastructure. It then lists the following key points that will be covered in the presentation: how IoT works by leveraging technologies like RFID, sensors, and embedded processing; the current status and future prospects of IoT; how IoT can help turn data into wisdom through knowledge management; potential applications of IoT in various industries; technological challenges facing IoT development; and criticisms around privacy, security, and control issues with a ubiquitous IoT network.
The document provides an introduction to the Internet of Things (IoT). It defines IoT as the network of physical objects embedded with sensors that enables the collection and exchange of data over existing network infrastructure. The document outlines key applications of IoT in various domains like industrial automation, smart homes, smart cities, etc. It also discusses some of the main challenges and issues around privacy, standardization, and energy sources for IoT devices. Finally, it provides a timeline of the evolution of smart, connected things and envisions the future growth of IoT.
The document discusses the Internet of Things (IoT) and provides an overview of some key concepts. It defines IoT as connecting billions of devices by 2020 and describes examples like Nest products and smart refrigerators. It also covers basic microelectronics, the .NET Micro Framework for programming microcontrollers, and how to connect devices to the internet using gateways.
Networks connect devices using common protocols to exchange data. They allow information to be sent from one location to another through nodes and channels. The first wireless networks used analog signals for voice and music broadcasts (1G), while later generations introduced digital communications and increased data rates, with 3G networks combining voice and high-bandwidth data. Network topologies determine the shape of the network and the relationship between nodes, with common topologies including star, tree, ring, mesh, bus, and hybrid combinations of these. Networks are also classified by size from personal area networks (PANs) covering a single person up to regional area networks (RANs) spanning large regions.
The document provides an overview of Internet of Things (IoT) concepts, including definitions, visions, frameworks and components. It discusses the basic building blocks of an IoT system including physical objects, sensors, controllers and connectivity to the internet. It also describes diverse IoT technologies related to hardware, software, communication protocols, platforms and applications. Specific examples covered include smart homes, machine-to-machine systems, industrial IoT and smart cities.
The document discusses the requirements for an automated home system. It will allow control of lights, audio/video, HVAC, and security through touchscreens, wireless remotes, or voice recognition. Sensors will detect issues like gases, smoke, vibrations or motions and trigger alarms and safety responses. The system will be designed using a component-based model with class diagrams to define classes for the main system and each subsystem. Pseudocode is provided for sample detection and response codes. The team of 10 members will implement and validate the system.
Anomaly detection is a topic with many different applications. From social media tracking, to cybersecurity, anomaly detection (or outlier detection) algorithms can have a huge impact in your organisation.
For the video please visit: https://www.youtube.com/watch?v=XEM2bYYxkTU
This slideshare has been produced by the Tesseract Academy (http://tesseract.academy), a company that educates decision makers in deep technical topics such as data science, analytics, machine learning and blockchain.
If you are interested in data science and related topics, make sure to also visit The Data Scientist: http://thedatascientist.com.
Introduction to Blockchain and Smart ContractsSaad Zaher
Blockchain & Smart Contracts! This document provides an introduction to blockchain and smart contracts. It discusses what a blockchain is, why many blockchains exist, consensus algorithms like proof of work and proof of stake, public versus private blockchains, smart contracts and how they work, examples of successful smart contracts, potential use cases, and CIT blockchain projects including Catena which provides blockchain as a service and an iRobot proof of concept.
This document discusses supply chain management and revenue management systems. It begins by defining supply chain management as handling the entire production flow from raw materials to delivering the final product to consumers. It then lists the goals of supply chain management as improving performance, responsiveness, relationships, efficiency, and profitability. It describes internal supply management as focused internally and external supply management as focused externally. It also outlines strategic, tactical, and operational planning models for logistics. Finally, it defines revenue management as using pricing, promotions, and other strategies to maximize profit by balancing supply and demand, and lists functions and processes involved in revenue management systems.
The internet of things (IoT) is the internetworking of physical devices, vehicles, buildings and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data.
Presentation from Grace Hopper Celebration 2016. Topic: Blockchain and Internet of Things (IoT) in the IBM Bluemix platform includes Demo. Speakers: Valerie Lampkin, Sumabala Nair and Carole Corley
M2M systems layers and designs standardizationsFabMinds
The document discusses standards and standardization bodies for Internet of Things (IoT) systems. The Internet Engineering Task Force (IETF), International Telecommunication Union (ITU-T), European Telecommunication Standards Institute (ETSI), and Open Geospatial Consortium (OGC) have all proposed standards and reference models for IoT layers, communication, and device/sensor capabilities. Specifically, ETSI defined domains and capabilities for machine-to-machine communication systems, while IETF, ITU-T, and OGC focused on network layers, transport protocols, and sensor discovery/metadata.
The document discusses the architecture of the Internet of Things (IoT). It describes the IoT as a network of physical objects embedded with sensors that can collect and exchange data. The document outlines the history and development of IoT and describes its layered architecture which includes device, network, service, and application layers. It provides examples of current and potential IoT applications in various sectors and discusses security and privacy issues regarding connected devices.
This presentation provides an overview of several important internet protocols:
- Internet Protocol (IP) delivers data packets from source to destination hosts and defines packet sizes. IPv4 and IPv6 are major versions.
- Transmission Control Protocol/Internet Protocol (TCP/IP) is a suite of protocols that govern how data travels across networks. It has two main components - TCP breaks data into packets and verifies delivery, while IP envelopes and addresses data.
- File Transfer Protocol (FTP) allows file transfers across TCP networks and uses separate control and data connections between clients and servers located on FTP servers.
- Hypertext Transfer Protocol (HTTP) governs web page transfers and uses URLs to identify and locate resources on the network
Simple Network Management Protocol by vikas jagtapVikas Jagtap
NETWORK MANAGEMENT can be defined as monitoring, testing, configuring and trouble shooting network components to meet a set of requirements defined by an organization.
Set of requirements include the smooth, efficient operation of the network that provides the predefined quality of service for users
The document discusses the major technologies and components behind IoT systems. It describes the various entities that provide IoT technologies, including hardware, IDEs for developing device software, communication protocols, network backbones, software, internet/cloud platforms, and machine learning algorithms. It outlines the five levels of an IoT system from device platforms to data analytics. Finally, it identifies the key components of an IoT system as physical objects with embedded software and hardware, sensors, control units, communication modules, and software to process messages and commands.
The document discusses Internet of Things (IoT) fundamentals including what IoT is, its genesis, how it relates to digitization, examples of IoT data analysis, and the impact of IoT. It then covers specific IoT applications and uses cases such as connected roadways, factories, buildings, and living creatures. It also discusses challenges with IoT such as network architecture, security, data management, and the convergence of IT and OT networks.
This document discusses Internet of Things (IoT). It defines IoT and explains that IoT allows internet connectivity and computing capability to extend to various objects and devices. It describes key characteristics of IoT including use of sensors, connectivity models like device-to-device and device-to-cloud, applications across various domains like healthcare, transportation, utilities and more. It also outlines advantages and disadvantages of IoT as well as security and other challenges in deploying IoT solutions at scale.
The document discusses Internet of Things (IoT) and its key aspects. It defines IoT as connecting physical objects through sensors and software to exchange data over the internet. IoT devices collect and share sensor data by connecting to gateways and the cloud to be analyzed with minimal human intervention. The document outlines technologies like sensors, connectivity, cloud computing and AI that enable IoT. It also discusses challenges of IoT like scalability, security, data analytics and interoperability.
The Internet of Things (IoT) is a concept that describes a totally interconnected world. It’s a world where devices of every shape and size are manufactured with “smart” capabilities that allow them to communicate and interact with other devices, exchange data, make autonomous decisions and perform useful tasks based on preset conditions.
IoT is expected to gross over $19 trillion over the next few years. However, the problem is that these ‘things’ have myths surrounding them, some of which are impacting how organizations develop the apps to support them.
Any new technology involves a certain amount of uncertainty and business risk. In the case of the Internet of Things, however, many of the risks have been exaggerated or misrepresented. While the IoT vision will take years to mature fully, the building blocks to begin this process are already in place.
Key hardware and software are either available today or under development; stakeholders need to address security and privacy concerns, and collaborate to implement the open standards that will make the IoT safe, secure, reliable and interoperable, and allow the delivery of secured services as seamlessly as possible.
This document provides an introduction to IoT including definitions and key characteristics. It discusses the four layers of an IoT architecture: sensing, network, data processing, and application. Common IoT protocols at each layer like MQTT, CoAP, and HTTP are also outlined. The document then covers microprocessors, comparing CISC and RISC architectures. Microcontrollers are defined as specialized microprocessors used in embedded systems. ARM is highlighted as a popular architecture for IoT devices due to its low power consumption and integrated components.
Internet of Things - Recent developments and TrendsDennis Jacob
The document discusses Internet of Things (IoT), providing an introduction and overview. It defines IoT as the network of physical devices embedded with sensors and connectivity that allows them to exchange data via the internet. The document outlines some key enabling technologies for IoT like RFID, wireless sensor networks, middleware, and presentation tools. It also discusses some common challenges for IoT like security and privacy issues. Examples of major IoT applications are given in areas like smart cities, healthcare, home automation, and industrial control. In conclusion, the document states that IoT has the potential to enhance services across many sectors and will likely become widespread in the coming decade as the necessary technologies continue to develop.
Chapter-4 Internet of Things.pptx, AI, Data Sciencehaile468688
Data science, AI (Artificial Intelligence), and IoT (Internet of Things) are three interconnected fields that play significant roles in shaping the modern technological landscape. Here's a brief description of each:
Data Science:
Data science is an interdisciplinary field that deals with extracting insights and knowledge from structured and unstructured data. It combines expertise from various domains such as statistics, mathematics, computer science, and domain knowledge. Data scientists use techniques like data mining, machine learning, and statistical analysis to interpret complex data sets. The goal of data science is to derive actionable insights, make predictions, and solve complex problems across industries ranging from healthcare and finance to marketing and e-commerce.
Artificial Intelligence (AI):
AI is the branch of computer science that aims to create intelligent machines capable of performing tasks that typically require human intelligence. This includes tasks such as natural language processing, speech recognition, computer vision, decision-making, and problem-solving. AI techniques include machine learning, deep learning, neural networks, and symbolic reasoning. AI has applications across various sectors, including healthcare, finance, transportation, manufacturing, and entertainment. It powers virtual assistants, autonomous vehicles, recommendation systems, and many other innovative technologies.
Internet of Things (IoT):
IoT refers to the network of interconnected devices embedded with sensors, software, and other technologies that enable them to collect and exchange data over the internet. These devices can range from household appliances and wearable devices to industrial machinery and smart city infrastructure. IoT enables the seamless integration of physical and digital systems, leading to improved efficiency, automation, and decision-making. By collecting and analyzing real-time data from connected devices, IoT facilitates a wide range of applications, including smart homes, smart cities, precision agriculture, industrial automation, and healthcare monitoring.
Together, data science, AI, and IoT form the backbone of many innovative solutions that drive digital transformation across industries, revolutionizing how businesses operate, how people interact with technology, and how societies function as a whole.
In this presentation, Ayush introduces IoT and associated trends. Ayush wants to work on the standardization part of IoT and as an example he talks about Constrained Application Protocol (CoAP).
This document provides an overview of the fundamentals of the Internet of Things (IoT). It discusses the basic architecture of IoT systems including sensing, network, data processing, and application layers. It also covers main design principles such as security, data management, and human factors. Additional topics include IoT standards considerations, devices and gateways, networking approaches, business processes, Everything as a Service models, reference architectures, and technical constraints around interoperability, privacy and security.
Presentation about IoT in media and communication.pdfezzAyman1
This document provides an overview of IoT (Internet of Things) in media, known as IoMT. It discusses the introduction and key components of IoMT, including devices, sensors, connectivity, data processing, and user interfaces. Applications of IoMT in areas like smart TVs, streaming devices, wearables and connected audio are also covered. The document outlines challenges of IoMT like lack of encryption, insufficient testing/updating, and default passwords. It proposes solutions such as changing passwords, keeping software updated, using strong authentication and securing home networks. Future trends involving edge computing, 5G integration, AI/ML and applications in healthcare and agriculture are presented before concluding.
IoT Standardization and Implementation ChallengesAhmed Banafa
The rapid evolution of the IoT market has caused an explosion in the number and variety of IoT solutions.
Additionally, large amounts of funding are being deployed at IoT startups.
Consequently, the focus of the industry has been on manufacturing and producing the right types of hardware to enable those solutions.
Group 4 IT INfrastructure Group presentation Final [Auto-saved].pptxOdedeleIfeoluwa
This document discusses big data, internet of things (IoT), and analytics in networks. It begins with an introduction to the rise of interconnected devices and vast amounts of data generated through IoT. It then outlines a plan to discuss big data characteristics, the concept of IoT, and different types of analytics in networks. Specific sections cover background on big data and IoT, performance, security, and predictive analytics, and case studies are provided on applying network monitoring in smart cities and industrial IoT. The document concludes that network analytics plays a critical role in IoT deployments by providing insights to improve decision-making, efficiency, and user experience.
An Analysis of the Architecture of the Internet of Things.pdfCIOWomenMagazine
As we all know internet of things is a system of interrelated and inter-connected objects. These objects are able to collect and transfer data via a wireless network without any human intervention.
ISSA-UK - Securing the Internet of Things - CIO Seminar 13 May 2014Adrian Wright
Embracing & Securing the Internet of Things
A briefing for CIOs at the CIO Dialogue 9 Oxford. May 2014
Presenter: Adrian Wright
VP of Research - Information Systems Security Association
CEO of Secoda Risk Management
Control on Remote Sensing Network using Cloud Computing ServicesIRJET Journal
The document discusses using cloud computing services and ZigBee wireless technology to remotely monitor and control sensing devices over a network. It proposes a system where sensors in a home transmit data to a transmitter via ZigBee, which then sends the data to a receiver and cloud database for remote access and control of devices. The system aims to minimize power consumption and improve communication performance for real-time home automation and monitoring applications.
This document provides an overview of an Internet of Things course for the 2018-2019 academic year. It includes 5 units that will cover topics such as IOT protocols, the web of things, network dynamics applications, resource management, smart grids, and electrical vehicle charging. The course objectives are for students to understand IOT protocols, applications of the web of things, and network dynamics. The document lists 4 textbooks that will be used and provides descriptions of the topics that will be covered in each unit.
This document discusses IoT network architecture and design. It explores drivers for new network architectures like scale, security, constrained devices, data, and legacy support. It compares the oneM2M and IoT World Forum IoT architectures, which divide functions into layers like applications, services, and networks. It also presents a simplified IoT architecture with two stacks: the data management and compute stack, and the core functional stack consisting of things, communications networks, and applications.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
86. Overview of IoT Components
▪Sensors/Devices
▪ Connectivity
▪ Data Processing
▪User Interface
87. i. Sensors/Devices
❖Sensor as an input device which provides an output (signal) with respect to a
specific physical quantity (input).
❖The term “input device” in the definition of a Sensor means that it is part of a
bigger system which provides input to a main control system (like a Processor or a
Microcontroller).
❖Another unique definition : It is a device that converts signals from one energy
domain to electrical domain. The definition of the Sensor can be better understood
if we take an example into consideration.
89. i. Sensors/Devices
•A device can have multiple sensors that can
bundle together to do more than just sense things.
For example, our phone is a device that has
multiple sensors such as GPS, accelerometer,
camera but our phone does not simply sense
things.
90. Sensors Classifications
❖The other type of classification is based on the means of detection
used in the sensor.
❖Some of the means of detection are Electric, Biological, Chemical,
Radioactive etc.
91. Sensors Classifications
❖The next classification is based on conversion phenomenon i.e., the input
and the output.
❖Some of the common conversion phenomena are
✓Photoelectric,
✓Thermoelectric,
✓Electrochemical,
✓Electromagnetic,
✓Thermo-optic etc.
92. Sensors Classifications
❖The final classification of the sensors are Analog and Digital Sensors.
❖Analog Sensors produce an analog output i.e., a continuous output signal (usually voltage but
sometimes other quantities like Resistance etc.) with respect to the quantity being measured.
❖Digital Sensors, in contrast to Analog Sensors, work with discrete or digital data.
❖The data in digital sensors, which is used for conversion and transmission, is digital in nature.
93. Different Types of Sensors
• The following is a list of different types of sensors that are commonly used in various applications.
All these sensors are used for measuring one of the physical properties like Temperature,
Resistance, Capacitance, Conduction, Heat Transfer etc.
94. Microcontroller
❖ Next to sensor, Microcontroller plays an important role in IoT
❖It is a chip that is optimized to control Electronic Devices.
❖It is stored on a single IC which is dedicated in performing a
particular task and executing only a specific application.
❖It is a specially designed circuit for embedded applications and is used
widely in automatically controlled electronic devices.
❖ It contains the blocks like memory, processor and programmable I/O.
COURSE NAME : IOT – SEN
103. ii. Connectivity
❖Next, that collected data from sensor and microcontroller is sent to a
cloud infrastructure, but it needs a medium for transport.
❖ The sensors can be connected to the cloud through various mediums
of communication and transports such as cellular networks, satellite
networks, Wi-Fi, Bluetooth, wide-area networks (WAN), low power
wide area network and many more.
❖ Every option we choose has some specifications and trade-offs
between power consumption, range, and bandwidth. So, choosing the
best connectivity option in the IOT system is important.
104. iii. Data Processing
❖ Once the data is collected and it gets to the cloud,
the software performs processing on the acquired
data.
❖ This can range from something very simple, such as
checking that the temperature reading on devices
such as AC or heaters is within an acceptable range.
106. iv. User Interface
❖ Next, the information made available to the end-user in some way.
This can achieve by triggering alarms on their phones or notifying
through texts or emails.
❖Also, a user sometimes might also have an interface through which
they can actively check in on their IOT system. For example, a user
has a camera installed in his house, he might want to check the video
recordings and all the feeds through a web server.
❖Depending on the IoT application and complexity of the system, the
user may also be able to perform an action
107. iv. User Interface
• For example, if a user detects some changes in the refrigerator, the
user can remotely adjust the temperature via their phone.
• There are also cases where some actions perform automatically.
• By establishing and implementing some predefined rules, the entire
IOT system can adjust the settings automatically and no human has to
be physically present.
• Also in case if any intruders are sensed, the system can generate an
alert not only to the owner of the house but to the concerned
authorities.
112. Coverage
• To transmit and receive data, IoT devices need a network connection. Lose the
connection, and you lose the device’s capabilities. While there are numerous IoT
connectivity solutions, they’re all best suited for different types of coverage.
• The solution you choose can severely limit where you can deploy. This makes
coverage a constant IoT challenge.
• For example, WiFi is a common choice for IoT connectivity. But your devices can
only operate within a short range of a router, and you can only deploy your
devices at locations that have WiFi. When the infrastructure isn’t available, you
have to either pay to build it or outfit your devices with a backup solution that
already has coverage.
113. Scalability
• IoT businesses often have hundreds or thousands of devices in the field. The
largest IoT manufacturers have millions of devices deployed around the world. As
businesses scale, they often piecemeal together their IoT stack, adopting different
connectivity solutions for deployments in new regions.
• Each of these comes with different management platforms, support systems, and
underlying technologies. And suppose you have to fundamentally change your
product to support a new connectivity solution.
• In that case, you need multiple SKUs for a single product. The larger the scale of
your operations, the more overwhelming device management, and logistics
become.
• This is even a problem with cellular IoT, where connectivity is available
worldwide but owned by disparate Mobile Network Operators (MNOs). To
connect to a new carrier, you need a provider with roaming agreements with that
carrier or a new SIM card.
114. Interoperability
• One of the incredible things about IoT is the seemingly endless ways you can
configure your tech stack to suit your unique circumstances. But it also creates a
challenge: Not all IoT devices and solutions are compatible with each other or
with your business applications.
• Adding new hardware and software to the mix may require you to make a chain
reaction of changes to keep the functionality you need while accommodating the
new tech.
• There’s another way interoperability challenges IoT manufacturers. Some of the
underlying tech your IoT solution depends on may be open source. That isn’t a
problem itself, but if that open source technology doesn’t have a regulating body
to create a clear universal standard, you can wind up with different businesses
and/or countries using different variations of the open source tech. This makes it
difficult to add technology from a different vendor or deploy your IoT solution in
a new country.
• It’s certainly not a problem for every IoT application, but some industries need to
accelerate their adoption of universal standards to improve interoperability.
115. Bandwidth Availability
• Radio Frequency (RF) bandwidth is a finite resource the entire world has to share.
Even with billions of connected devices, there’s more than enough to go around.
But when too many of these devices use the same frequency bands in the same
location, their signals interfere with each other.
• A common example of this is WiFi in apartment buildings. Every resident with a
WiFi router creates a separate network that uses the same frequencies (usually
5GHz or 2.4GHz). Since they’re so close together (in some cases on either side of
the same wall), their signals can easily interfere when everyone tries to use these
frequencies simultaneously.
• In IoT, you often have thousands of connected devices in relatively close
proximity. As we continue adding billions of new devices, the RF spectrum will
grow increasingly crowded. Signal interference and the availability of bandwidth
are something manufacturers need to be aware of it.
116. Limited Battery life
• Most IoT devices have small batteries. This is mainly because the devices are
often incredibly small—and new generations of IoT technology are trending
smaller and more efficient devices and components.
• Larger batteries could restrict a device’s use cases or limit where and how the
device can be installed. For example, putting a larger battery on a predictive
maintenance sensor could prevent you from installing the sensor where it would
be most protected from extreme temperatures, debris, impact, and other conditions
that could cause damage.
• For devices that spend the majority of their lifecycle in the field without access to
another power source, the battery is designed to last for years. But it can only last
all that time if the device’s regular operations drain minimal power. Transmitting
or receiving data for extended periods drains too much battery life.
117. Reliability and Hardware
• Any successful IoT undertaking requires a robust and secure infrastructure.
Depending on the industry and business, the physical devices may vary but their
quality, upkeep, reliability, and efficiency are extremely important.
• Let’s take sensors, for example. Many people believe that cheap sensors are easily
available and effective. However, sensors that last long and are reliable are rarely
inexpensive.
• If the upkeep of sensors used for delicate operations, such as gas or pH sensors, is
not regular and thorough, the data received from these can be unreliable.
• The overall hardware requirements are not always aligned with the available
resources, and it needs to be considered before the project is started.
118. Remote access
• The type of connectivity an IoT device uses can change how you’re able to access the device. For example,
using your customers’ WiFi or ethernet requires support personnel to either have VPN privileges or be on the
premises.
• On-site visits are extremely expensive, but if that’s the only way a technician can troubleshoot or update your
device, you’re stuck paying the additional costs.
• Remote access capabilities dramatically lower the costs of support and maintenance—for you or your
customers—and make routine firmware updates far more manageable at any scale. Unfortunately, many IoT
connectivity solutions lack the data throughput to make global remote access viable.
• A single firmware update over a network with low data throughput consumes too much power for devices that
rely on batteries.
• This is another strength of cellular connectivity. Cellular networks offer the data throughput needed to
efficiently push updates to your devices and the required technology for secure remote access through VPNs.