The document provides an overview of analytics in the Internet of Things (IoT) space. It defines key concepts like IoT, Industrial IoT (IIoT), and Analytics of Things (AoT). It discusses how IoT analytics is different and provides case studies on preventive maintenance, freezer failure detection, and analytics for a solar PV plant. It highlights the importance of data science for analyzing the huge volumes of data generated by IoT devices and the analytics techniques used, including performance analytics, trend analysis, and machine learning algorithms.
Internet of Things(IoT) - Introduction and Research Areas for Thesis
Internet of Things(IoT) is the latest technology making its presence felt in the world. There are various research areas for IoT thesis for M.Tech and Ph.D. Find out the latest topics for thesis and research here.
This document discusses security issues in Internet of Things (IoT). It begins with an introduction to IoT, explaining how IoT works and its key features such as connectivity, analytics, integration and artificial intelligence. It then discusses security layers in IoT, including perception, network, application and support layers. It outlines common security threats at each layer like eavesdropping, denial of service attacks, and malware. The document also covers IoT security challenges, advantages and disadvantages of IoT.
The document discusses sensors used in aircraft autopilot systems. An automatic flight control system uses various sensors to monitor speed, height, position, doors, obstacles, fuel and maneuvers. A computer receives data from these sensors, compares it to pre-designed values, and provides control signals to engines, flaps, and rudders to enable smooth autonomous flight. Sensors provide input to computers, which are the system's brains, and mechanics provide the outputs to control aircraft systems.
Internet of Things (IOT) - Technology and Applications
The document discusses Internet of Things (IoT) technologies and applications. It defines IoT, describes its characteristics and components. It also discusses challenges in IoT deployment areas like identification, architecture, communication technologies, and the need for protocols like 6LoWPAN to allow IPv6 connectivity over low power wireless personal area networks. Delay Tolerant Networking (DTN) is also introduced as a way to allow intermittent connectivity in challenged environments.
The document discusses the Internet of Things (IoT). It defines IoT as connecting physical objects to the internet to remotely monitor and control them. The document outlines key IoT technologies like communication, identification, sensing, and localization. It provides examples of IoT applications in various domains like environmental monitoring, transportation, healthcare, manufacturing, building automation, and more. The document concludes that IoT represents the future evolution of the internet and has potential to change the world for the better if key stakeholders work together on common standards.
The Internet of Things (IoT) is a network of physical objects embedded with electronics, software, and sensors that allows objects to connect and exchange data over the internet. IoT creates opportunities to remotely sense and control objects across networks, improving efficiency. Things in IoT include devices like heart monitors, farm animal tags, sensors in cars, and environmental sensors. These devices collect data using technologies and autonomously share it. IoT requires connectivity between things, intelligence to interpret sensor data, and scalability to handle increased connections.
The Internet of things describes physical objects that are embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.
on successful go through of this complete PPT, the learners can be able to understand the Raspberry PI, Raspberry Pi Interfaces(Serial, SPI,I2C) Programming, Python programming with Raspberry PI with the focus of Interfacing external gadgets
Controlling output Reading input from pins.
The document discusses the key features and architecture of the Internet of Things (IoT). It describes IoT as connecting physical devices through sensors and software to collect and exchange data over networks. The key features discussed are artificial intelligence, interconnectivity, distributed processing, heterogeneity, interoperability, scalability, security, and dynamic changes. The basic IoT architecture includes sensor networks, gateways, and communication technologies to connect devices. Sensor networks gather data from various sensors, while gateways act as an interface between sensor networks and cloud/application services. Common wireless technologies enabling IoT device connectivity include RFID, WLAN, and short-range wireless protocols.
An introductory video and presentation looking at Internet of Things (IoT) and differences between IoT and #IIoT. Examples are provided to help clarify the understanding.
Internet of things (IoT)- Introduction, Utilities, Applications
The document discusses Internet of Things (IoT). It defines IoT as a platform where everyday devices become smarter through intelligent processing and informative communication, creating a connection between the digital and physical world. The document outlines the key functional blocks of IoT including devices, communication, services, management, security, and applications. It also discusses the utilities of IoT and provides examples of domain-specific IoT applications in areas like wireless sensor networks, aquaculture, distributed sensor networks, smart societies, and location-aware services. The document concludes by noting that IoT has added new potential to the internet by enabling communications between objects and humans to make a smarter planet.
Internet of things (IOT) connects physical to digital
1) The document discusses the topic of Internet of Things (IoT). It defines IoT as a network of physical objects embedded with sensors that can collect and exchange data.
2) The document outlines some key characteristics of IoT including connectivity, data collection, communication, intelligence, and action. It also discusses how IoT works by collecting data via sensors, communicating data through networks, analyzing the data, and taking action.
3) Several potential research topics in IoT are proposed, including applying deep learning for intrusion detection in IoT networks, finding dead zones in large IoT networks, and developing governance models for machine learning algorithms within IoT.
This document presents a proposal for Green Internet of Things (IoT) to enable a smart and sustainable future world. It discusses how Green IoT aims to reduce energy consumption and greenhouse gas emissions through energy efficient design, production, utilization and disposal of IoT devices and systems. Key enabling technologies for Green IoT include green RFID, wireless sensor networks, computer clouding, machine-to-machine communication and green data centers. Design principles for Green IoT focus on minimizing energy usage through approaches like predictive data delivery, optimized routing, trading off processing for communication, using renewable energy sources, and developing advanced sensor cloud architectures. Future research directions include modeling energy consumption and investigating more energy efficient system structures to realize a smart world powered by
This document is an introduction to IoT that was created by Yong Heui Cho of Mokwon University. It refers to and gives credit to a 2015 slideshare on IoT by Imran Shafqat. The document covers definitions of IoT, examples of IoT growth from 2010 to 2014, core IoT activities, the relationship between IoT and cloud computing, an IoT architecture diagram, and examples of the Intel Galileo GEN 2 and Samsung ARTIK IoT boards.
The document discusses Internet of Things (IoT) and provides an overview in three main points:
1. IoT involves connecting physical objects/things to the internet so they can communicate and transfer data without human interaction. This allows the objects to collect and share information.
2. Current trends show efforts to connect 26 billion objects by 2020, with healthcare, transportation and manufacturing leading the way. Common communication methods for connecting objects include WiFi, Bluetooth, and Zigbee.
3. IoT provides benefits like real-time analytics and control, but also faces challenges regarding security, adoption rates, compatibility and power constraints. Main application areas include home automation, smart cities, manufacturing and automotive.
Разработка и тестирование интернета вещей. Тренды индустрии
Мы, прежде всего, поговорим о том, как бизнесс тренды Мобильной разработки и Интернета Вещей повлияют на технические тренды Development-а и Quality Assurance. Какие сложности нас подстерегают, какие знания и умения будут остро необходимы, какие типы тестирования станут наиболее востребоваными, а инструменты актуальными. Приведем многочисленные примеры “отечественных” проектов, в работе над которыми можно поучаствовать не в «гипотетических» монстрах, вроде Microsoft, IBM, Google, а в РБ или РФ, здесь и сейчас. Материал основан на последних отчетах профильных организаций и, конечно же, личном опыте. Уверен, каждый из нас, от юного разработчика и QA специалиста до Project/Resource Manager-а, извлечет свой «урок» из предложенного материала.
SECON'2016. Семенченко Антон, Как тренды в Мобильной разработке и Интернете в...
Доклад, прежде всего о том, как бизнес тренды Мобильной разработки и Интернета Вещей повлияют на тренды в QA. Какие сложности нас ждут, какие знания и умения будут остро необходимы, какие типы тестирования будут наиболее востребованными, а инструменты актуальны. Материал основан на последних отчетах профильных организаций и конечно же личном опыте. Уверен каждый из нас, от юного QA специалиста до Project \ Resource Manager-а, извлечет свой «урок» из предложенного материала.
This document summarizes an Internet of Things workshop presented by Dr. Mazlan Abbas. The workshop agenda includes an introduction to IoT, applications of IoT, and smart cities. Technologies enabling IoT are discussed, such as cheap sensors, bandwidth, processing power and ubiquitous wireless coverage. Maturity phases and benefits of IoT are examined through examples. Common questions around asset monitoring are presented. Finally, considerations for starting an IoT solution like data ownership and value creation from data are reviewed.
IoT: Understanding its potential and what makes it tick! by Mark Torr
This presentation will discuss why IoT has the potential to revolutionize many aspects of our lives by explaining what enables it today and the promise holds for our future. In addition the presentation will dive into the components you need in a IoT solution using Microsoft Azure services to demonstrate them in action as we build a live IoT application on stage!
My perspective on the evolution of big data from the perspective of a distributed systems researcher & engineer -- the background of how it get started, the scale-out paradigm, industry use cases, open source development paradigm, and interesting future challenges.
IoT Meets Big Data: The Opportunities and Challenges by Syed Hoda of ParStream
Download our special report, IoT Tech for the Manager: http://bit.ly/report1-slideshare
IoT Meets Big Data: The Opportunities and Challenges as presented at the IoT Inc Business' Eighth Meetup. See: http://www.iot-inc.com/iot-meets-big-data-the-opportunities-and-challenges/
In our eighth Meetup we have Syed Hoda, Chief Marketing Officer of ParStream presenting “IoT Meets Big Data: The Opportunities and Challenges”. Come meet other business leaders in the IoT ecosystem and discuss the business issues you face in the Internet of Things.
Presentation Abstract
The Internet of Things (IoT) and Big Data have each made press headlines and continue to be board-level priorities. The intersection of IoT and Big Data is a fascinating area of innovation with tremendous scope for business impact. From industrial sensors to vehicles to health monitors, a huge variety of devices connects to the Internet and share information. At the same time, the cost to store data has dropped dramatically while capabilities for analysis have made huge leaps forward. How can analytics drive business benefits from IoT projects? What are the challenges in storing and analyzing huge amounts of real-world information? How can companies generate more value from their data? We will address these questions and also share our perspectives on innovative technologies enabling new IoT use cases.
This document discusses an Internet of Things workshop presented by Dr. Mazlan Abbas. The agenda includes an introduction to IoT, applications of IoT, and smart cities. Technologies enabling IoT are discussed, such as cheap sensors, bandwidth, processing power, and wireless coverage. Examples of IoT applications are presented across various industries like manufacturing, transportation, agriculture, and more. Benefits of IoT include increased security, efficiency, and new revenue streams. The document also discusses defining and collecting data, data ownership, and creating value from data through analytics.
The document discusses the Internet of Things (IoT). It provides definitions and key facts about IoT, including that the term was coined in 1999 and that connected objects are expected to grow exponentially from 6.4 billion in 2016 to 50 billion by 2020. It also discusses that factors driving IoT adoption include the availability of affordable sensors and devices, and the scalability of solutions. The document outlines considerations for designing IoT applications from simple to complex. It provides an example IoT implementation using SAP technologies to monitor industrial coolers and optimize asset utilization.
The document discusses the Internet of Things (IoT) and its impact. It begins by quoting the World Economic Forum that we are on the brink of a technological revolution through IoT that will fundamentally change how people live and work. IoT involves connecting physical devices to the internet and to each other. This allows for collection and sharing of data from billions of smart devices. The document then discusses how IoT is being used in various industries and provides examples of IoT applications for smart farming, elderly care, smart home devices, and more. It also outlines some of the advantages and disadvantages of IoT, such as improved customer engagement but also security and privacy concerns.
UniConverge Technologies Pvt Ltd, is working in Industry4.0 / Industrial IoT (IIOT) , Machine Learning, Artificial Intelligence, Cloud Computing based products. The talk has been delivered at various universities, Engineering Colleges/Institutes.
IoT Overview and Challenges - Sachin Pukale IOT Mumbai
#Scalable #IoT solutions are still emerging and many in nascent development stage. Companies and entrepreneur must learn to apply #designthinking while developing IoT Use Cases/Solutions.
I had an opportunity to speak about IoT opportunities and how to navigate challenges of developing IoT Solutions at #IITMumbai #CodeUp event hosted by #PayU India.
Aujourd'hui, les objets connectés sont partout et nous entourent sans même s'en apercevoir : téléphones, transports, musique, montres, "The Internet of Things" (IoT) a pris une part importante dans notre vie. En nous montrant des cas d'usages des entreprises telles que la NASA, Airbus, Red bull et d'autres, Sean nous expliquera comment ils fonctionnent et comment sont gérées toutes ces données récoltées.
The document discusses how the Internet of Things (IoT) represents a technological revolution that will fundamentally change how people live and relate to one another. It provides examples of current IoT applications like smart farming using sensors on livestock, devices to help the elderly, and smart kitchen appliances. Both advantages like improved customer engagement and reduced waste, and disadvantages like security, privacy, and complexity issues are reviewed. The conclusion discusses the need to secure IoT devices through authentication, authorization, network policies, and secure analytics.
The document discusses how the Internet of Things (IoT) represents a new technological revolution that will fundamentally change how people live and work. It provides examples of current IoT applications like smart farming, health monitoring for the elderly, and smart devices. While IoT provides advantages like improved customer engagement and data collection, it also poses disadvantages such as security, privacy and complexity issues that need to be addressed.
The document discusses how the Internet of Things (IoT) represents a new technological revolution that will fundamentally change how people live and work. It provides examples of current IoT applications like smart farming, health monitoring for the elderly, and smart devices. While IoT provides advantages like improved customer engagement and data collection, it also poses disadvantages such as security, privacy and complexity issues that need to be addressed.
The document discusses the Internet of Things (IoT) and its potential impacts. It notes that according to the World Economic Forum, we are on the brink of a technological revolution through IoT that will fundamentally change how we live and work. Examples are then given of how IoT is currently being used for smart farming, assisting the elderly, and developing smart devices for eating, drinking, oral hygiene, and home use. Both advantages like improved customer engagement and reduced waste, and disadvantages like security, privacy and complexity concerns are reviewed. Steps for securing IoT devices through authentication, authorization, network policy and secure analytics are also outlined.
Revolutionising Facility Management Services Through Internet of Things - Is ...
1) IoT technologies like cheap sensors, bandwidth, processing power and ubiquitous wireless coverage have enabled new applications of connecting physical assets.
2) IoT can help facilities manage assets more effectively, reduce costs, optimize operations and generate new revenue streams.
3) IoT maturity progresses from basic monitoring, to control, optimization and autonomous operations. Many industry sectors are adopting IoT including manufacturing, transportation, agriculture and more.
The document discusses Internet of Things (IoT) and how it is enabling smart cities. It describes technologies that enable IoT like cheap sensors, bandwidth, processing power, and wireless coverage. It discusses the history and challenges of IoT. It outlines how IoT can be used across various sectors and environments like transportation, infrastructure, manufacturing, agriculture and more. It discusses how IoT can provide benefits like improved efficiency, reduced costs, and new revenue streams for cities. Finally, it discusses how citizen engagement and mobile applications can help build smart cities and provide solutions using IoT.
Powering the Internet of Things with Apache Hadoop
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Apache Hadoop has emerged as a key architectural component that can help make sense of IoT data, enabling never before seen data products and solutions.
This document discusses Internet of Things (IoT) physical devices and endpoints. It begins by defining IoT devices as objects connected to the Internet that can send and receive data. Basic components of an IoT device are then outlined, including sensing, actuation, communication, and data processing. The Raspberry Pi is presented as an exemplary IoT device, noting its low cost, credit card size, Linux operating system, and interfaces for connecting sensors and actuators. Programming the Raspberry Pi using Python is also mentioned. Finally, some other examples of IoT devices are listed.
IOT is connecting every physical object in the world using wireless technologies to track and control them from every where in the world...Every object is uniquely identified using ip addresses(IPv6)
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.
Internet of Things(IoT) - Introduction and Research Areas for ThesisWriteMyThesis
Internet of Things(IoT) is the latest technology making its presence felt in the world. There are various research areas for IoT thesis for M.Tech and Ph.D. Find out the latest topics for thesis and research here.
This document discusses security issues in Internet of Things (IoT). It begins with an introduction to IoT, explaining how IoT works and its key features such as connectivity, analytics, integration and artificial intelligence. It then discusses security layers in IoT, including perception, network, application and support layers. It outlines common security threats at each layer like eavesdropping, denial of service attacks, and malware. The document also covers IoT security challenges, advantages and disadvantages of IoT.
The document discusses sensors used in aircraft autopilot systems. An automatic flight control system uses various sensors to monitor speed, height, position, doors, obstacles, fuel and maneuvers. A computer receives data from these sensors, compares it to pre-designed values, and provides control signals to engines, flaps, and rudders to enable smooth autonomous flight. Sensors provide input to computers, which are the system's brains, and mechanics provide the outputs to control aircraft systems.
Internet of Things (IOT) - Technology and ApplicationsDr. Mazlan Abbas
The document discusses Internet of Things (IoT) technologies and applications. It defines IoT, describes its characteristics and components. It also discusses challenges in IoT deployment areas like identification, architecture, communication technologies, and the need for protocols like 6LoWPAN to allow IPv6 connectivity over low power wireless personal area networks. Delay Tolerant Networking (DTN) is also introduced as a way to allow intermittent connectivity in challenged environments.
The document discusses the Internet of Things (IoT). It defines IoT as connecting physical objects to the internet to remotely monitor and control them. The document outlines key IoT technologies like communication, identification, sensing, and localization. It provides examples of IoT applications in various domains like environmental monitoring, transportation, healthcare, manufacturing, building automation, and more. The document concludes that IoT represents the future evolution of the internet and has potential to change the world for the better if key stakeholders work together on common standards.
The Internet of Things (IoT) is a network of physical objects embedded with electronics, software, and sensors that allows objects to connect and exchange data over the internet. IoT creates opportunities to remotely sense and control objects across networks, improving efficiency. Things in IoT include devices like heart monitors, farm animal tags, sensors in cars, and environmental sensors. These devices collect data using technologies and autonomously share it. IoT requires connectivity between things, intelligence to interpret sensor data, and scalability to handle increased connections.
The Internet of things describes physical objects that are embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.
on successful go through of this complete PPT, the learners can be able to understand the Raspberry PI, Raspberry Pi Interfaces(Serial, SPI,I2C) Programming, Python programming with Raspberry PI with the focus of Interfacing external gadgets
Controlling output Reading input from pins.
The document discusses the key features and architecture of the Internet of Things (IoT). It describes IoT as connecting physical devices through sensors and software to collect and exchange data over networks. The key features discussed are artificial intelligence, interconnectivity, distributed processing, heterogeneity, interoperability, scalability, security, and dynamic changes. The basic IoT architecture includes sensor networks, gateways, and communication technologies to connect devices. Sensor networks gather data from various sensors, while gateways act as an interface between sensor networks and cloud/application services. Common wireless technologies enabling IoT device connectivity include RFID, WLAN, and short-range wireless protocols.
An introductory video and presentation looking at Internet of Things (IoT) and differences between IoT and #IIoT. Examples are provided to help clarify the understanding.
Internet of things (IoT)- Introduction, Utilities, ApplicationsTarika Verma
The document discusses Internet of Things (IoT). It defines IoT as a platform where everyday devices become smarter through intelligent processing and informative communication, creating a connection between the digital and physical world. The document outlines the key functional blocks of IoT including devices, communication, services, management, security, and applications. It also discusses the utilities of IoT and provides examples of domain-specific IoT applications in areas like wireless sensor networks, aquaculture, distributed sensor networks, smart societies, and location-aware services. The document concludes by noting that IoT has added new potential to the internet by enabling communications between objects and humans to make a smarter planet.
Internet of things (IOT) connects physical to digitalEslam Nader
1) The document discusses the topic of Internet of Things (IoT). It defines IoT as a network of physical objects embedded with sensors that can collect and exchange data.
2) The document outlines some key characteristics of IoT including connectivity, data collection, communication, intelligence, and action. It also discusses how IoT works by collecting data via sensors, communicating data through networks, analyzing the data, and taking action.
3) Several potential research topics in IoT are proposed, including applying deep learning for intrusion detection in IoT networks, finding dead zones in large IoT networks, and developing governance models for machine learning algorithms within IoT.
This document presents a proposal for Green Internet of Things (IoT) to enable a smart and sustainable future world. It discusses how Green IoT aims to reduce energy consumption and greenhouse gas emissions through energy efficient design, production, utilization and disposal of IoT devices and systems. Key enabling technologies for Green IoT include green RFID, wireless sensor networks, computer clouding, machine-to-machine communication and green data centers. Design principles for Green IoT focus on minimizing energy usage through approaches like predictive data delivery, optimized routing, trading off processing for communication, using renewable energy sources, and developing advanced sensor cloud architectures. Future research directions include modeling energy consumption and investigating more energy efficient system structures to realize a smart world powered by
This document is an introduction to IoT that was created by Yong Heui Cho of Mokwon University. It refers to and gives credit to a 2015 slideshare on IoT by Imran Shafqat. The document covers definitions of IoT, examples of IoT growth from 2010 to 2014, core IoT activities, the relationship between IoT and cloud computing, an IoT architecture diagram, and examples of the Intel Galileo GEN 2 and Samsung ARTIK IoT boards.
The document discusses Internet of Things (IoT) and provides an overview in three main points:
1. IoT involves connecting physical objects/things to the internet so they can communicate and transfer data without human interaction. This allows the objects to collect and share information.
2. Current trends show efforts to connect 26 billion objects by 2020, with healthcare, transportation and manufacturing leading the way. Common communication methods for connecting objects include WiFi, Bluetooth, and Zigbee.
3. IoT provides benefits like real-time analytics and control, but also faces challenges regarding security, adoption rates, compatibility and power constraints. Main application areas include home automation, smart cities, manufacturing and automotive.
Разработка и тестирование интернета вещей. Тренды индустрииcorehard_by
Мы, прежде всего, поговорим о том, как бизнесс тренды Мобильной разработки и Интернета Вещей повлияют на технические тренды Development-а и Quality Assurance. Какие сложности нас подстерегают, какие знания и умения будут остро необходимы, какие типы тестирования станут наиболее востребоваными, а инструменты актуальными. Приведем многочисленные примеры “отечественных” проектов, в работе над которыми можно поучаствовать не в «гипотетических» монстрах, вроде Microsoft, IBM, Google, а в РБ или РФ, здесь и сейчас. Материал основан на последних отчетах профильных организаций и, конечно же, личном опыте. Уверен, каждый из нас, от юного разработчика и QA специалиста до Project/Resource Manager-а, извлечет свой «урок» из предложенного материала.
SECON'2016. Семенченко Антон, Как тренды в Мобильной разработке и Интернете в...SECON
Доклад, прежде все��о о том, как бизнес тренды Мобильной разработки и Интернета Вещей повлияют на тренды в QA. Какие сложности нас ждут, какие знания и умения будут остро необходимы, какие типы тестирования будут наиболее востребованными, а инструменты актуальны. Материал основан на последних отчетах профильных организаций и конечно же личном опыте. Уверен каждый из нас, от юного QA специалиста до Project \ Resource Manager-а, извлечет свой «урок» из предложенного материала.
This document summarizes an Internet of Things workshop presented by Dr. Mazlan Abbas. The workshop agenda includes an introduction to IoT, applications of IoT, and smart cities. Technologies enabling IoT are discussed, such as cheap sensors, bandwidth, processing power and ubiquitous wireless coverage. Maturity phases and benefits of IoT are examined through examples. Common questions around asset monitoring are presented. Finally, considerations for starting an IoT solution like data ownership and value creation from data are reviewed.
IoT: Understanding its potential and what makes it tick! by Mark TorrBosnia Agile
This presentation will discuss why IoT has the potential to revolutionize many aspects of our lives by explaining what enables it today and the promise holds for our future. In addition the presentation will dive into the components you need in a IoT solution using Microsoft Azure services to demonstrate them in action as we build a live IoT application on stage!
My perspective on the evolution of big data from the perspective of a distributed systems researcher & engineer -- the background of how it get started, the scale-out paradigm, industry use cases, open source development paradigm, and interesting future challenges.
IoT Meets Big Data: The Opportunities and Challenges by Syed Hoda of ParStreamgogo6
Download our special report, IoT Tech for the Manager: http://bit.ly/report1-slideshare
IoT Meets Big Data: The Opportunities and Challenges as presented at the IoT Inc Business' Eighth Meetup. See: http://www.iot-inc.com/iot-meets-big-data-the-opportunities-and-challenges/
In our eighth Meetup we have Syed Hoda, Chief Marketing Officer of ParStream presenting “IoT Meets Big Data: The Opportunities and Challenges”. Come meet other business leaders in the IoT ecosystem and discuss the business issues you face in the Internet of Things.
Presentation Abstract
The Internet of Things (IoT) and Big Data have each made press headlines and continue to be board-level priorities. The intersection of IoT and Big Data is a fascinating area of innovation with tremendous scope for business impact. From industrial sensors to vehicles to health monitors, a huge variety of devices connects to the Internet and share information. At the same time, the cost to store data has dropped dramatically while capabilities for analysis have made huge leaps forward. How can analytics drive business benefits from IoT projects? What are the challenges in storing and analyzing huge amounts of real-world information? How can companies generate more value from their data? We will address these questions and also share our perspectives on innovative technologies enabling new IoT use cases.
This document discusses an Internet of Things workshop presented by Dr. Mazlan Abbas. The agenda includes an introduction to IoT, applications of IoT, and smart cities. Technologies enabling IoT are discussed, such as cheap sensors, bandwidth, processing power, and wireless coverage. Examples of IoT applications are presented across various industries like manufacturing, transportation, agriculture, and more. Benefits of IoT include increased security, efficiency, and new revenue streams. The document also discusses defining and collecting data, data ownership, and creating value from data through analytics.
The document discusses the Internet of Things (IoT). It provides definitions and key facts about IoT, including that the term was coined in 1999 and that connected objects are expected to grow exponentially from 6.4 billion in 2016 to 50 billion by 2020. It also discusses that factors driving IoT adoption include the availability of affordable sensors and devices, and the scalability of solutions. The document outlines considerations for designing IoT applications from simple to complex. It provides an example IoT implementation using SAP technologies to monitor industrial coolers and optimize asset utilization.
The document discusses the Internet of Things (IoT) and its impact. It begins by quoting the World Economic Forum that we are on the brink of a technological revolution through IoT that will fundamentally change how people live and work. IoT involves connecting physical devices to the internet and to each other. This allows for collection and sharing of data from billions of smart devices. The document then discusses how IoT is being used in various industries and provides examples of IoT applications for smart farming, elderly care, smart home devices, and more. It also outlines some of the advantages and disadvantages of IoT, such as improved customer engagement but also security and privacy concerns.
UniConverge Technologies Pvt Ltd, is working in Industry4.0 / Industrial IoT (IIOT) , Machine Learning, Artificial Intelligence, Cloud Computing based products. The talk has been delivered at various universities, Engineering Colleges/Institutes.
IoT Overview and Challenges - Sachin Pukale IOT MumbaiSachin Pukale
#Scalable #IoT solutions are still emerging and many in nascent development stage. Companies and entrepreneur must learn to apply #designthinking while developing IoT Use Cases/Solutions.
I had an opportunity to speak about IoT opportunities and how to navigate challenges of developing IoT Solutions at #IITMumbai #CodeUp event hosted by #PayU India.
Les objets connectés : de nombreux cas d'usage Jedha Bootcamp
Aujourd'hui, les objets connectés sont partout et nous entourent sans même s'en apercevoir : téléphones, transports, musique, montres, "The Internet of Things" (IoT) a pris une part importante dans notre vie. En nous montrant des cas d'usages des entreprises telles que la NASA, Airbus, Red bull et d'autres, Sean nous expliquera comment ils fonctionnent et comment sont gérées toutes ces données récoltées.
The document discusses how the Internet of Things (IoT) represents a technological revolution that will fundamentally change how people live and relate to one another. It provides examples of current IoT applications like smart farming using sensors on livestock, devices to help the elderly, and smart kitchen appliances. Both advantages like improved customer engagement and reduced waste, and disadvantages like security, privacy, and complexity issues are reviewed. The conclusion discusses the need to secure IoT devices through authentication, authorization, network policies, and secure analytics.
The document discusses how the Internet of Things (IoT) represents a new technological revolution that will fundamentally change how people live and work. It provides examples of current IoT applications like smart farming, health monitoring for the elderly, and smart devices. While IoT provides advantages like improved customer engagement and data collection, it also poses disadvantages such as security, privacy and complexity issues that need to be addressed.
The document discusses how the Internet of Things (IoT) represents a new technological revolution that will fundamentally change how people live and work. It provides examples of current IoT applications like smart farming, health monitoring for the elderly, and smart devices. While IoT provides advantages like improved customer engagement and data collection, it also poses disadvantages such as security, privacy and complexity issues that need to be addressed.
The document discusses the Internet of Things (IoT) and its potential impacts. It notes that according to the World Economic Forum, we are on the brink of a technological revolution through IoT that will fundamentally change how we live and work. Examples are then given of how IoT is currently being used for smart farming, assisting the elderly, and developing smart devices for eating, drinking, oral hygiene, and home use. Both advantages like improved customer engagement and reduced waste, and disadvantages like security, privacy and complexity concerns are reviewed. Steps for securing IoT devices through authentication, authorization, network policy and secure analytics are also outlined.
Revolutionising Facility Management Services Through Internet of Things - Is ...Dr. Mazlan Abbas
1) IoT technologies like cheap sensors, bandwidth, processing power and ubiquitous wireless coverage have enabled new applications of connecting physical assets.
2) IoT can help facilities manage assets more effectively, reduce costs, optimize operations and generate new revenue streams.
3) IoT maturity progresses from basic monitoring, to control, optimization and autonomous operations. Many industry sectors are adopting IoT including manufacturing, transportation, agriculture and more.
The document discusses Internet of Things (IoT) and how it is enabling smart cities. It describes technologies that enable IoT like cheap sensors, bandwidth, processing power, and wireless coverage. It discusses the history and challenges of IoT. It outlines how IoT can be used across various sectors and environments like transportation, infrastructure, manufacturing, agriculture and more. It discusses how IoT can provide benefits like improved efficiency, reduced costs, and new revenue streams for cities. Finally, it discusses how citizen engagement and mobile applications can help build smart cities and provide solutions using IoT.
Powering the Internet of Things with Apache HadoopCloudera, Inc.
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Apache Hadoop has emerged as a key architectural component that can help make sense of IoT data, enabling never before seen data products and solutions.
### Data Description and Analysis Summary for Presentation
#### 1. **Importing Libraries**
Libraries used:
- `pandas`, `numpy`: Data manipulation
- `matplotlib`, `seaborn`: Data visualization
- `scikit-learn`: Machine learning utilities
- `statsmodels`, `pmdarima`: Statistical modeling
- `keras`: Deep learning models
#### 2. **Loading and Exploring the Dataset**
**Dataset Overview:**
- **Source:** CSV file (`mumbai-monthly-rains.csv`)
- **Columns:**
- `Year`: The year of the recorded data.
- `Jan` to `Dec`: Monthly rainfall data.
- `Total`: Total annual rainfall.
**Initial Data Checks:**
- Displayed first few rows.
- Summary statistics (mean, standard deviation, min, max).
- Checked for missing values.
- Verified data types.
**Visualizations:**
- **Annual Rainfall Time Series:** Trends in annual rainfall over the years.
- **Monthly Rainfall Over Years:** Patterns and variations in monthly rainfall.
- **Yearly Total Rainfall Distribution:** Distribution and frequency of annual rainfall.
- **Box Plots for Monthly Data:** Spread and outliers in monthly rainfall.
- **Correlation Matrix of Monthly Rainfall:** Relationships between different months' rainfall.
#### 3. **Data Transformation**
**Steps:**
- Ensured 'Year' column is of integer type.
- Created a datetime index.
- Converted monthly data to a time series format.
- Created lag features to capture past values.
- Generated rolling statistics (mean, standard deviation) for different window sizes.
- Added seasonal indicators (dummy variables for months).
- Dropped rows with NaN values.
**Result:**
- Transformed dataset with additional features ready for time series analysis.
#### 4. **Data Splitting**
**Procedure:**
- Split the data into features (`X`) and target (`y`).
- Further split into training (80%) and testing (20%) sets without shuffling to preserve time series order.
**Result:**
- Training set: `(X_train, y_train)`
- Testing set: `(X_test, y_test)`
#### 5. **Automated Hyperparameter Tuning**
**Tool Used:** `pmdarima`
- Automatically selected the best parameters for the SARIMA model.
- Evaluated using metrics such as AIC and BIC.
**Output:**
- Best SARIMA model parameters and statistical summary.
#### 6. **SARIMA Model**
**Steps:**
- Fit the SARIMA model using the training data.
- Evaluated on both training and testing sets using MAE and RMSE.
**Output:**
- **Train MAE:** Indicates accuracy on training data.
- **Test MAE:** Indicates accuracy on unseen data.
- **Train RMSE:** Measures average error magnitude on training data.
- **Test RMSE:** Measures average error magnitude on testing data.
#### 7. **LSTM Model**
**Preparation:**
- Reshaped data for LSTM input.
- Converted data to `float32`.
**Model Building and Training:**
- Built an LSTM model with one LSTM layer and one Dense layer.
- Trained the model on the training data.
**Evaluation:**
- Evaluated on both training and testing sets using MAE and RMSE.
**Output:**
- **Train MAE:** Accuracy on training data.
- **T
Amazon Aurora 클러스터를 초당 수백만 건의 쓰기 트랜잭션으로 확장하고 페타바이트 규모의 데이터를 관리할 수 있으며, 사용자 지정 애플리케이션 로직을 생성하거나 여러 데이터베이스를 관리할 필요 없이 Aurora에서 관계형 데이터베이스 워크로드를 단일 Aurora 라이터 인스턴스의 한도 이상으로 확장할 수 있는 Amazon Aurora Limitless Database를 소개합니다.
2. AGENDA
What is IoT?
What is IIoT
What is AoT
How IoT Analytics is Different?
Case Studies
Data Science (necessity and importance)
Analytics Way Forward
Technology Stack for Analytics
Questions & Answers
4. BASIC DEFINITION
• Forbes : This term refers to devices that collect & transmit data via the
internet.
• SAP : More than 50 billions objects will connect to internet and this
connection is called as IoT. This “things” talk to each other,
collect streaming data and insights.
• Cisco : The IoT links smart objects to the Internet. It can enable an
exchange of data never available before, and bring users
information in a more secure way.
• Wiki : The Internet of Things (IoT) is the network of physical
objects/devices that enables these objects to collect and
exchange data.
5. THINGS IN INTERNET OF THINGS
• Objects
• Machines
• Appliances
• Building
• Vehicle
• People and many more…
6. WHAT IS INTERNET OF THINGS!
6
Application
Server
Things
Web
Service
s
8. M2M
• Machine to machine refers to direct communication between
devices using any communication channel, including wired and
wireless.
• Machine to machine communication can include industrial
instrumentation, enabling a sensor or meter to communicate
the data it records.
12. MARKET DRIVERS & BARRIERS
Four Market Drivers
•Expanded internet connectivity
•High mobile adoption
•Low-cost sensors
•Large IoT investments
Four Barriers
•Security concerns
•Privacy concerns
•Implementation problems
•Technological fragmentation
13. SIZE IN MARKET
$6
TRILLION
INVESTED
$6 trillion will be invested
on IoT solutions over the next five years 24 BILLION
There will be 24 billion IoT devices
installed by 2020
$13
TRILLION ROI
Total investments over the next five years
will generate $13 trillion by 2025
14. ENTITIES USING IOT ECOSYSTEM
Consumers
5B Devices Installed By
2020
Governments
7.7B Devices Installed By
2020
Businesses
11.2B Devices Installed
By 2020
$3B Spent (2015-2020)
$2.1B Spent (2015-2020)
$900M Spent (2015-2020)
$7.6B ROI (2015-2025)
$1.4B ROI (2015-2025)
$4.7B ROI (2015-2025)
15. VERTICALS UTILIZE IOT ECOSYSTEM
Transportation
Manufacturing
Connected Homes
Agriculture
Oil & Gas, Mining
Utilities
Infrastructure
Health Care
Many more….
16. INDUSTRIAL INTERNET OF THINGS (IIOT)
• A universe of intelligent industrial products, processes and services that
communicate with each other and with people over a global network -
Accenture
• The Industrial Internet of Things (IIoT) is the next wave of innovation
impacting the way the world connects and optimizes machines. The IIoT,
through the use of sensors, advanced analytics and intelligent decision
making, will profoundly transform the way field assets connect and
communicate with the enterprise – EDN Networks
• The Industrial Internet of Things is an evolution of existing technologies that
enables end users to improve processes, drive productivity, and maintain an
edge in our increasingly competitive global economy - Kepware
21. INTRODUCTION OF AOT
Connected
Devices
Embedded Analytics Smart Devices
Analytics enables to make predictions and send alerts/notifications from
streaming data(real time sensor data) using automated analytics platform
Analytics decode and transform the continuous flow of M2M data into
value-added information
34. HOW TO DIGEST THIS HUMONGOUS DATA
FOR DATA INSIGHTS
CONFIDENTIAL & PROPRIETARY DOCUMENT
• Performance Analytics
• Real Time Benchmarking
• Trend Analysis
• Adaptive Machine Learning Algorithms
Performance
Analytics
Trend
Analysis
Machine
Learning
Real Time
Benchmarking
40. CHALLENGES WITH ANALYTICS IN IOT
• Data is growing bigger
• Data in motion
• Geographically distribution of data
• New functionality and tools (capability perspective)
44. SOME STATS ON DATA SCIENCE:
• 25% of organizations now have a data scientist on staff.
• By increasing the usability of data by just 10%, the average Fortune 100
company could expect an increase of $2 billion dollars (source: Fathom)
• 1,40,000 to 1,90,000 people with deep analytic skills as well as 1.5 million
managers and analysts will be needed by 2018 to fill jobs in Big Data in US
(source: McKinsey)
• 86% of people are willing to pay more for a great customer experience with
a brand (source: Lunch Pail)
• By 2020 the IoT Will Include 26 Billion Units, Creating New Challenges for All
Aspects of the Data Center (source : Gartner)
46. WHAT IS ANALYTICS?
Maturity of Analytics Capabilities
CompetitiveAdvantage
Raw
Data
Cleaned
Data
Standard
Reports
Ad Hoc Reports
& OLAP
Predictive Modelling
Optimisation
What Happened? – Descriptive Analytics
Why did it happen? – Diagnostic Analytics
What will happen? – Predictive Analytics
What is the best that could happen? Prescriptive Analytics
Sense & Respond Predict & Act
Generic Predictive
Analytics
Source: SAP
47. MACHINE LEARNING
• Machine learning is a subfield of computer science that evolved from
the study of pattern recognition and computational learning theory in
artificial intelligence.
- Wikipedia
• Machine learning is a type of artificial intelligence (AI) that provides
computers with the ability to learn without being explicitly
programmed. Machine learning focuses on the development of
computer programs that can teach themselves to grow and change
when exposed to new data.
- whatis.techtarget.com
48. TYPE OF PROBLEM CATEGORIES
Supervised
Learning
Unsupervised
Learning
49. COMMON PREDICTIVE ANALYTICS
METHOD
• Regression:
Predicting output variable using its cause-effect relationship with input variables. OLS
Regression, GLM, Random forests, ANN etc.
• Classification:
Predicting the item class. Decision Tree, Logistic Regression, ANN, SVM, Naïve Bayes classifier
etc.
• Time Series Forecasting:
Predicting future time events given past history. AR, MA, ARIMA, Triple Exponential
Smoothing, Holt- Winters etc.
50. COMMON PREDICTIVE ANALYTICS
METHOD (CONTD.)
• Association rule mining:
Mining items occurring together Apriori Algorithm.
• Clustering:
Finding natural groups or clusters in the data. K-means, Hierarchical, Spectral, Density
based EM algorithm Clustering etc.
• Text mining:
Model and structure the information content of textual sources. Sentiment Analysis,
NLP
51. BUSINESS APPLICATIONS OF PREDICTIVE
ANALYTICS
Factory Failures
FinanceSmarter Healthcare
Multi-channel
sales
Telecom
Manufacturing
Traffic Control
Trading Analytics Fraud and Risk
Renewable
Energy
Spam Filters
Retail: Churn
53. LEARNING LINKS
• https://www.coursera.org/browse/data-science
• http://www.kdnuggets.com/2015/09/15-math-mooc-data-science.html
• http://www.datasciencecentral.com/profiles/blogs/how-to-become-a-
data-scientist-for-free
• http://www.r-bloggers.com/in-depth-introduction-to-machine-learning-
in-15-hours-of-expert-videos/
• http://online.stanford.edu/course/machine-learning-3
• http://online.stanford.edu/course/mining-massive-datasets
• Kaggle : The leading platform for predictive analytics competitions
• https://www.analyticsvidhya.com/
54. QUESTIONS AND DISCUSSION
THANK YOU SO MUCH FOR YOUR VALUABLE TIME
Mitesh Gupta
Email: mitesh.gupta19@gmail.com
LinkedIn: https://in.linkedin.com/in/mitesh-
gupta-28014633