INTEROPERABILITY & IOT: GETTING EVERYTHING CONNECTEDC K Vishwakarma
The document discusses the importance of interoperability for the Internet of Things. It notes that interoperability will be critical for connecting the many different devices, systems, and organizations involved in IoT. However, achieving interoperability is challenging due to the heterogeneous and dynamic nature of IoT networks and devices. The document advocates for collaboration between organizations to develop interoperability frameworks and standards that can help overcome fragmentation and allow all things to connect seamlessly.
The document discusses interoperability on the Internet of Things. It describes a project to break down vertical silos in M2M systems by implementing open standards like HyperCat that make APIs and services machine-discoverable. This allows applications to work across different services without custom integration. The document also outlines ongoing work by 1248 including the Geras IoT data streaming and storage platform that uses the SenML format and supports MQTT, HTTP, and metadata search.
Interoperability in the Internet of Things is critical for emerging services and applications. In this presentation we advocate the use of IoT ‘hubs’ to aggregate things using web protocols, and suggest a staged approach to interoperability. In the context of a UK government funded project involving 8 IoT projects to address cross-domain IoT interoperability, we introduce the HyperCat IoT catalogue specification. We then describe the tools and techniques we developed to adapt an existing data portal and IoT platform to this specification, and provide an IoT hub focused on the highways industry called ‘Smart Streets’. Based on our experience developing this large scale IoT hub, we outline lessons learned which we hope will contribute to ongoing efforts to create an interoperable global IoT ecosystem.
Hype, buzzword, threat; however you want to characterize it, the Internet of Things (IoT) is here.
IoT scenarios that were hypothetical only a few years ago are real today. Still thinking along the line of fleet management and temperature measurements? You’re out. Endless possibilities of IoT applications are surfacing every day, from the connected cow (huh?) to things that monitor and analyze your daily life (really?).
In this webinar, we will discuss architecture of IoT data management solutions and the challenges that arise. We will explore how MongoDB features provide solutions to those problems. Time permitting, we will demonstrate an IoT Cloud service built on top of MongoDB.
In this presentation I do a review of the architecture of an AI application for IoT environments.
Since specific modeling and training aspects also have an impact on the final implementation of an enterprise ready solution, such solutions become very complex pretty soon.
The complexity of AI system for IoT is a big challenge – thus, I want to break this complexity down into particular views, which emphasize the individual but still interconnected aspects more clearly.
The document discusses Samsung ARTIK Cloud, an open data exchange platform for the Internet of Things (IoT). It allows users to easily create and connect IoT devices, collect and massage device data, and build new services and applications. The platform represents things in the cloud, facilitates interoperability across devices and clouds, and enables data to be transformed and accessed through APIs and SDKs. It also ensures user privacy by allowing users to control and grant access to their own data.
INTEROPERABILITY & IOT: GETTING EVERYTHING CONNECTEDC K Vishwakarma
The document discusses the importance of interoperability for the Internet of Things. It notes that interoperability will be critical for connecting the many different devices, systems, and organizations involved in IoT. However, achieving interoperability is challenging due to the heterogeneous and dynamic nature of IoT networks and devices. The document advocates for collaboration between organizations to develop interoperability frameworks and standards that can help overcome fragmentation and allow all things to connect seamlessly.
The document discusses interoperability on the Internet of Things. It describes a project to break down vertical silos in M2M systems by implementing open standards like HyperCat that make APIs and services machine-discoverable. This allows applications to work across different services without custom integration. The document also outlines ongoing work by 1248 including the Geras IoT data streaming and storage platform that uses the SenML format and supports MQTT, HTTP, and metadata search.
Interoperability in the Internet of Things is critical for emerging services and applications. In this presentation we advocate the use of IoT ‘hubs’ to aggregate things using web protocols, and suggest a staged approach to interoperability. In the context of a UK government funded project involving 8 IoT projects to address cross-domain IoT interoperability, we introduce the HyperCat IoT catalogue specification. We then describe the tools and techniques we developed to adapt an existing data portal and IoT platform to this specification, and provide an IoT hub focused on the highways industry called ‘Smart Streets’. Based on our experience developing this large scale IoT hub, we outline lessons learned which we hope will contribute to ongoing efforts to create an interoperable global IoT ecosystem.
Hype, buzzword, threat; however you want to characterize it, the Internet of Things (IoT) is here.
IoT scenarios that were hypothetical only a few years ago are real today. Still thinking along the line of fleet management and temperature measurements? You’re out. Endless possibilities of IoT applications are surfacing every day, from the connected cow (huh?) to things that monitor and analyze your daily life (really?).
In this webinar, we will discuss architecture of IoT data management solutions and the challenges that arise. We will explore how MongoDB features provide solutions to those problems. Time permitting, we will demonstrate an IoT Cloud service built on top of MongoDB.
In this presentation I do a review of the architecture of an AI application for IoT environments.
Since specific modeling and training aspects also have an impact on the final implementation of an enterprise ready solution, such solutions become very complex pretty soon.
The complexity of AI system for IoT is a big challenge – thus, I want to break this complexity down into particular views, which emphasize the individual but still interconnected aspects more clearly.
The document discusses Samsung ARTIK Cloud, an open data exchange platform for the Internet of Things (IoT). It allows users to easily create and connect IoT devices, collect and massage device data, and build new services and applications. The platform represents things in the cloud, facilitates interoperability across devices and clouds, and enables data to be transformed and accessed through APIs and SDKs. It also ensures user privacy by allowing users to control and grant access to their own data.
Key Data Management Requirements for the IoTMongoDB
The document discusses key data management requirements for Internet of Things (IoT) applications. It notes that IoT will generate massive amounts of structured and unstructured data from a large number of connected devices and sensors. This data must be managed in a way that allows for rich applications, a unified view of data, real-time operational insights, business agility, and continuous innovation. It argues that traditional relational databases may not be well-suited for IoT data management and that NoSQL databases can provide scalability, flexibility, analytics and a unified view of data from multiple sources.
IoT, computer intelligence and javascript in the physical worldIvo Andreev
IoT and Computer Intelligence are two of top technology trends nowadays. But do these sound too far for a JavaScript or web developer?
Microsoft Cognitive Services have brought computer intelligence at your fingertips by letting you use powerful algorithms with just few lines of code. So as Technical Machine who made Tessel – an open-source Internet connected microcontroller that is programmable in JavaScript.
Since Microsoft reputation of usability speaks on its own and Tessel is Node.js compatible, there is a large eco system to dive in and start making smart applications as if you are developing for the web.
This session makes an introduction of how easy it is to jump from the web and reach the physical world.
MongoDB Solution for Internet of Things and Big DataStefano Dindo
Internet of Things è uno degli scenari di mercato più importanti su cui investire entro il 2020.
L'Internet of Things permette di trasferire sul Web la vita reale delle persone grazie all'interazione con oggetti e spazi fisici scambiando un grande volume di dati.
Durante il Lab è stata fornita una descrizione di architettura necessaria a supportare progetti di Internet of Things con un focus sull'organizzazione dei dati all'interno di MongoDB, database NoSQL Leader di mercato, per raccogliere ed analizzare grandi volumi di dati in tempo reale ed in modo efficiente.
This document discusses how IoT, robotics, and AI are transforming industries. It provides examples of how AWS customers are using these technologies in various sectors like healthcare, manufacturing, and retail. It also outlines the benefits these technologies provide, such as cost savings, efficiency gains, improved decision making, and innovation. The document then discusses specific AWS services like Amazon Rekognition, Polly, Lex, and various machine learning frameworks that customers can use to build applications using these technologies.
This document discusses the integration of IoT and cloud computing. It provides overviews of cloud computing, including characteristics, stakeholders, and service delivery models. It discusses the motivation for integrating IoT and cloud, including leveraging cloud benefits and addressing conflicting properties. Integration models are described including adapting cloud models (IaaS, PaaS, SaaS) to IoT. Challenges of integration like data quality and lack of interoperability are covered along with solutions like abstraction layers and adapting existing cloud models. Edge/fog computing is introduced as an approach to address limitations of full cloud integration. Popular public IoT cloud platforms and their architectures are analyzed.
User Focused Security at Netflix: StethoscopeJesse Kriss
Presented by Andrew White and Jesse Kriss at ShmooCon 2017.
User Focused Security is an approach we are using to address employee information security at Netflix. If we provide employees with the right information and low-friction tools, we believe they can get their devices into a more secure state without heavy-handed policy enforcement.
Letting people retain control over their devices means that they can maintain flexibility and productivity and address security recommendations as appropriate to their levels of access. This approach will only be successful, though, if we can provide clear and specific action, and make it easy to do the right thing.
Stethoscope is a web-based tool that gives Netflix employees a view into the security state of their devices, with specific recommendations regarding disk encryption, firewalls, and other device settings. The website, in conjunction with email alerts, gives Netflix employees a straightforward way to see what actions they should take to remain safe.
Andrew White and Jesse Kriss are both members of the Information Security team at Netflix, where they work on designing and building software tools that help people make good decisions around corporate security.
Andrew holds a PhD in Computer Science from the University of North Carolina at Chapel Hill and a B.S. in Computer Science and B.A. in Mathematics from the University of Richmond.
Jesse (@jkriss) holds a Master’s in Human-Computer Interaction from Carnegie Mellon University and B.A. in Music from Carleton College. Prior to Netflix, he worked at NASA/JPL, Obama 2012, Figure 53, and IBM Research.
Real-Time Analytics with Apache Cassandra and Apache SparkGuido Schmutz
This document provides an overview of real-time analytics with Apache Cassandra and Apache Spark. It discusses how Spark can be used for stream processing over Cassandra for storage. Spark Streaming ingests real-time data from sources like Kafka and processes it using Spark transformations and actions. The processed data can be stored in Cassandra for querying. Cassandra is well suited for high write throughput and storing large amounts of data, while Spark enables fast in-memory processing and machine learning capabilities. Together, Spark and Cassandra provide a scalable solution for real-time analytics and querying of large datasets.
Operational information processing: lightning-fast, delightfully simpleXylos
How can you as an industrial company or service provider collect and analyse data from your operational production equipment in a simple, fast and smart way? During this session, HPE gives you some practical examples – and what’s more, you’ll discover the underlying reference architecture. As a result, you’ll boost the efficiency of your production process and tune the services you provide to the needs of your customers.
Cisco Connect 2018 Thailand - Secure, intelligent platform for the digital bu...NetworkCollaborators
This document discusses digital transformation and the secure, intelligent platform needed to enable it. It notes that digital transformation involves adopting new technologies and business models to increase agility, productivity and customer experiences while reducing costs. The platform should amass and unlock big data, embrace multi-cloud environments, reinvent the network, and leverage machine learning/AI to drive business insights. Cisco's strategies for its Spark, DNA Center and other platforms aim to provide such a secure, intelligent platform for digital business.
Momentum provides easy to use platform for processing large volume of data streams in realtime. This is an ideal solution for IoT and click stream analytics
Talk at the Etherreum Developper Conference. Presents our approach to build a fully decentralized Cloud Infrastructure based on the Ethereum blockchain and Desktop Grid middleware.
IoT - Retour d'expérience de projets clients dans le domaine IoT. Michael Epprecht, Technical Specialist in the Global Black Belt IoT Team at Microsoft. Conférence donnée dans le cadre du Swiss Data Forum, du 24 novembre 2015 à Lausanne
How are new IoT devices being designed, built & integrated to big data platforms such as Hadoop. Ammeon design such systems to integrate with and provide critical support for new device creators to bring their products to market.
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analyzed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
Real Time Analytics with Apache Cassandra - Cassandra Day MunichGuido Schmutz
Time series data is everywhere: IoT, sensor data or financial transactions. The industry has moved to databases like Cassandra to handle the high velocity and high volume of data that is now common place. In this talk I will present how we have used Cassandra to store time series data. I will highlight both the Cassandra data model as well as the architecture we put in place for collecting and ingesting data into Cassandra, using Apache Kafka and Apache Storm.
Achieving cyber mission assurance with near real-time impactElasticsearch
See how Elastic and ECS support the Mission Assurance Decision Support System (MADSS) program for the Navy with observability, data enrichment, and powerful search in a containerized environment. By correlating data from diverse sources using web-based services and secure, automated data transformation services, MADSS improves responsiveness, predictions, and event analysis for critical network and infrastructure outages.
JCConf 2017 - Next Generation of Cloud Computing: Edge Computing and Apache E...Joseph Kuo
Cloud computing has been developed more than one decade and still keeps growing and growing. At the present time when we enjoy the huge benefits it brings to us, we are also aware of its deficiency that we have to enhance, especially for applications running against IoT. This session is to present the next generation of cloud computing: Edge Computing. We will introduce you what Edge Computing is, why we need it, and how it works with current cloud computing services. Furthermore, when we get involved into edge computing, we need a tool to help us to analysis real-time and continuous data streams generated by devices, equipment and systems on IoT. Therefore we will also present Apache Edgent, a programming model and micro-kernel style run-time, and show you how it works in conjunction with centralized analytic systems and provides efficient and timely analytic across the whole IoT ecosystem.
https://cyberjos.blog/java/seminar/jcconf-2017-next-generation-of-cloud-computing-edge-computing-and-apache-edgent/
The document discusses the challenges of designing Internet of Things (IoT) devices. IoT designs combine multiple complex design domains including sensors, analog and digital signal processing, radio connectivity, and interfaces to the internet. Integrating all these elements together into a single IoT product places a high demand on engineering teams. The diagram shows the typical components of an IoT device that must be integrated, including sensors, analog and digital conversion/processing, a microcontroller, radio connectivity, and links to the internet and cloud services.
Semantic Interoperability Issues and Approaches in the IoT.est Projectiotest
P Barnaghi, Semantic Interoperability Issues and Approaches in the IoT.est Project, at the IERC AC4 Semantic interoperability Workshop (during the IoT-week 2012), Venice, Italy, 19 June 2012
Key Data Management Requirements for the IoTMongoDB
The document discusses key data management requirements for Internet of Things (IoT) applications. It notes that IoT will generate massive amounts of structured and unstructured data from a large number of connected devices and sensors. This data must be managed in a way that allows for rich applications, a unified view of data, real-time operational insights, business agility, and continuous innovation. It argues that traditional relational databases may not be well-suited for IoT data management and that NoSQL databases can provide scalability, flexibility, analytics and a unified view of data from multiple sources.
IoT, computer intelligence and javascript in the physical worldIvo Andreev
IoT and Computer Intelligence are two of top technology trends nowadays. But do these sound too far for a JavaScript or web developer?
Microsoft Cognitive Services have brought computer intelligence at your fingertips by letting you use powerful algorithms with just few lines of code. So as Technical Machine who made Tessel – an open-source Internet connected microcontroller that is programmable in JavaScript.
Since Microsoft reputation of usability speaks on its own and Tessel is Node.js compatible, there is a large eco system to dive in and start making smart applications as if you are developing for the web.
This session makes an introduction of how easy it is to jump from the web and reach the physical world.
MongoDB Solution for Internet of Things and Big DataStefano Dindo
Internet of Things è uno degli scenari di mercato più importanti su cui investire entro il 2020.
L'Internet of Things permette di trasferire sul Web la vita reale delle persone grazie all'interazione con oggetti e spazi fisici scambiando un grande volume di dati.
Durante il Lab è stata fornita una descrizione di architettura necessaria a supportare progetti di Internet of Things con un focus sull'organizzazione dei dati all'interno di MongoDB, database NoSQL Leader di mercato, per raccogliere ed analizzare grandi volumi di dati in tempo reale ed in modo efficiente.
This document discusses how IoT, robotics, and AI are transforming industries. It provides examples of how AWS customers are using these technologies in various sectors like healthcare, manufacturing, and retail. It also outlines the benefits these technologies provide, such as cost savings, efficiency gains, improved decision making, and innovation. The document then discusses specific AWS services like Amazon Rekognition, Polly, Lex, and various machine learning frameworks that customers can use to build applications using these technologies.
This document discusses the integration of IoT and cloud computing. It provides overviews of cloud computing, including characteristics, stakeholders, and service delivery models. It discusses the motivation for integrating IoT and cloud, including leveraging cloud benefits and addressing conflicting properties. Integration models are described including adapting cloud models (IaaS, PaaS, SaaS) to IoT. Challenges of integration like data quality and lack of interoperability are covered along with solutions like abstraction layers and adapting existing cloud models. Edge/fog computing is introduced as an approach to address limitations of full cloud integration. Popular public IoT cloud platforms and their architectures are analyzed.
User Focused Security at Netflix: StethoscopeJesse Kriss
Presented by Andrew White and Jesse Kriss at ShmooCon 2017.
User Focused Security is an approach we are using to address employee information security at Netflix. If we provide employees with the right information and low-friction tools, we believe they can get their devices into a more secure state without heavy-handed policy enforcement.
Letting people retain control over their devices means that they can maintain flexibility and productivity and address security recommendations as appropriate to their levels of access. This approach will only be successful, though, if we can provide clear and specific action, and make it easy to do the right thing.
Stethoscope is a web-based tool that gives Netflix employees a view into the security state of their devices, with specific recommendations regarding disk encryption, firewalls, and other device settings. The website, in conjunction with email alerts, gives Netflix employees a straightforward way to see what actions they should take to remain safe.
Andrew White and Jesse Kriss are both members of the Information Security team at Netflix, where they work on designing and building software tools that help people make good decisions around corporate security.
Andrew holds a PhD in Computer Science from the University of North Carolina at Chapel Hill and a B.S. in Computer Science and B.A. in Mathematics from the University of Richmond.
Jesse (@jkriss) holds a Master’s in Human-Computer Interaction from Carnegie Mellon University and B.A. in Music from Carleton College. Prior to Netflix, he worked at NASA/JPL, Obama 2012, Figure 53, and IBM Research.
Real-Time Analytics with Apache Cassandra and Apache SparkGuido Schmutz
This document provides an overview of real-time analytics with Apache Cassandra and Apache Spark. It discusses how Spark can be used for stream processing over Cassandra for storage. Spark Streaming ingests real-time data from sources like Kafka and processes it using Spark transformations and actions. The processed data can be stored in Cassandra for querying. Cassandra is well suited for high write throughput and storing large amounts of data, while Spark enables fast in-memory processing and machine learning capabilities. Together, Spark and Cassandra provide a scalable solution for real-time analytics and querying of large datasets.
Operational information processing: lightning-fast, delightfully simpleXylos
How can you as an industrial company or service provider collect and analyse data from your operational production equipment in a simple, fast and smart way? During this session, HPE gives you some practical examples – and what’s more, you’ll discover the underlying reference architecture. As a result, you’ll boost the efficiency of your production process and tune the services you provide to the needs of your customers.
Cisco Connect 2018 Thailand - Secure, intelligent platform for the digital bu...NetworkCollaborators
This document discusses digital transformation and the secure, intelligent platform needed to enable it. It notes that digital transformation involves adopting new technologies and business models to increase agility, productivity and customer experiences while reducing costs. The platform should amass and unlock big data, embrace multi-cloud environments, reinvent the network, and leverage machine learning/AI to drive business insights. Cisco's strategies for its Spark, DNA Center and other platforms aim to provide such a secure, intelligent platform for digital business.
Momentum provides easy to use platform for processing large volume of data streams in realtime. This is an ideal solution for IoT and click stream analytics
Talk at the Etherreum Developper Conference. Presents our approach to build a fully decentralized Cloud Infrastructure based on the Ethereum blockchain and Desktop Grid middleware.
IoT - Retour d'expérience de projets clients dans le domaine IoT. Michael Epprecht, Technical Specialist in the Global Black Belt IoT Team at Microsoft. Conférence donnée dans le cadre du Swiss Data Forum, du 24 novembre 2015 à Lausanne
How are new IoT devices being designed, built & integrated to big data platforms such as Hadoop. Ammeon design such systems to integrate with and provide critical support for new device creators to bring their products to market.
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analyzed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
Real Time Analytics with Apache Cassandra - Cassandra Day MunichGuido Schmutz
Time series data is everywhere: IoT, sensor data or financial transactions. The industry has moved to databases like Cassandra to handle the high velocity and high volume of data that is now common place. In this talk I will present how we have used Cassandra to store time series data. I will highlight both the Cassandra data model as well as the architecture we put in place for collecting and ingesting data into Cassandra, using Apache Kafka and Apache Storm.
Achieving cyber mission assurance with near real-time impactElasticsearch
See how Elastic and ECS support the Mission Assurance Decision Support System (MADSS) program for the Navy with observability, data enrichment, and powerful search in a containerized environment. By correlating data from diverse sources using web-based services and secure, automated data transformation services, MADSS improves responsiveness, predictions, and event analysis for critical network and infrastructure outages.
JCConf 2017 - Next Generation of Cloud Computing: Edge Computing and Apache E...Joseph Kuo
Cloud computing has been developed more than one decade and still keeps growing and growing. At the present time when we enjoy the huge benefits it brings to us, we are also aware of its deficiency that we have to enhance, especially for applications running against IoT. This session is to present the next generation of cloud computing: Edge Computing. We will introduce you what Edge Computing is, why we need it, and how it works with current cloud computing services. Furthermore, when we get involved into edge computing, we need a tool to help us to analysis real-time and continuous data streams generated by devices, equipment and systems on IoT. Therefore we will also present Apache Edgent, a programming model and micro-kernel style run-time, and show you how it works in conjunction with centralized analytic systems and provides efficient and timely analytic across the whole IoT ecosystem.
https://cyberjos.blog/java/seminar/jcconf-2017-next-generation-of-cloud-computing-edge-computing-and-apache-edgent/
The document discusses the challenges of designing Internet of Things (IoT) devices. IoT designs combine multiple complex design domains including sensors, analog and digital signal processing, radio connectivity, and interfaces to the internet. Integrating all these elements together into a single IoT product places a high demand on engineering teams. The diagram shows the typical components of an IoT device that must be integrated, including sensors, analog and digital conversion/processing, a microcontroller, radio connectivity, and links to the internet and cloud services.
Semantic Interoperability Issues and Approaches in the IoT.est Projectiotest
P Barnaghi, Semantic Interoperability Issues and Approaches in the IoT.est Project, at the IERC AC4 Semantic interoperability Workshop (during the IoT-week 2012), Venice, Italy, 19 June 2012
This document discusses interoperability and RTI's experience with facilitating interoperability between complex distributed systems. It describes RTI's work on over 800 projects across various industries involving 15+ standards efforts. RTI promotes using data-centric middleware like DDS to allow systems built with different technologies, platforms and vendors to easily share information through a common data model and quality of service controls. The document argues this approach improves integration, flexibility and future-proofing for systems compared to traditional methods.
Semantic technologies for the Internet of Things PayamBarnaghi
The document discusses semantic technologies for the Internet of Things. It describes how sensor data in the IoT is time-dependent, continuous, and variable quality. Semantic annotations and machine-interpretable formats like XML and RDF are needed to make the data interoperable. Ontologies provide formal definitions of concepts and relationships in a domain that enable machines to process IoT data and enable autonomous device interactions. The document outlines approaches to semantically describe sensor observations and measurements using XML, RDF graphs, and adding domain concepts and logical rules with ontologies.
China bank industry market forecast and investment strategy report, 2013 2017Qianzhan Intelligence
This document provides an overview and analysis of the Chinese banking industry. It discusses the industry's development environment, operation models of modern commercial banks, and the growth of internet banking in China. Specifically, it notes that competition in the banking industry is intensifying amid China's ongoing financial reforms. It also examines the business structures and target patterns of large state-owned commercial banks, and compares the advanced operations of foreign banks to provide experience for Chinese institutions. Finally, it looks at the expanding user and transaction scales of internet banking platforms in China.
China automated warehouse industry investment demand and development prospect...Qianzhan Intelligence
The document provides an overview and analysis of the automated warehouse industry in China from 2013 to 2017. It discusses key topics like the business model and environment of the industry, experiences of foreign automated warehouses, the development status of China's automated warehouse industry, application and demand forecasts, case studies of typical applications, and the operation of major automated warehouse corporations. The report aims to help industry players understand the latest trends, identify opportunities, and make informed marketing and investment decisions.
EclipseCon NA 2015 - Arduino designer : the making of!melbats
Video : http://www.infoq.com/presentations/arduino-designer
What brings together a model, a microcontroller and a cat ?
The Arduino Designer ! Last year, we demoed this new modeler which allows kids to easily write programs for Arduino platforms using a visual tool. The purpose of this new talk is to unveil the making-of of this modeler, by detailing how it is possible to quickly develop such a simple dedicated modeler thanks to Sirius.
We’ll start by explaining how to use Sirius to create graphical editors such as the ones provided by the Arduino Designer. Then we’ll see how to simplify the Eclipse UI to keep the minimum useful interactions for an RCP application dedicated to kids. Finally, we’ll discuss how to integrate the modeler with a code generator and how to combine it with the Arduino tools to build and upload software into the Arduino hardware platform.
Join this session, and discover the power of graphical designers, the simplicity of creating new ones and integrating them with existing tools!
North Korea has a rich cultural tradition that includes both traditional and regional festivals celebrated according to the lunar calendar. Buddhism was introduced from India over 2,600 years ago and remains an important part of North Korean culture. Cultural beliefs are shared and diversity is embraced. Rural and urban lifestyles also reflect North Korean culture through farming, forestry, art, crafts, and cuisine. Traditional handicrafts, dry wine, festivals, sports, and rice cakes distinguish North Korean culture in Asia.
Fabrice Louis-Broyl describes himself as a scholar, provider, performer, and curator. He was always a precocious child who was fascinated by history, especially queens. He received degrees in history and worked various jobs to support himself through school. His experience in human services taught him empathy and perspective-taking, skills useful in museums. As a drag performer, he has learned about femininity, sexuality, and race through embodiment. His diverse experiences have given him knowledge and imagination to conceptualize exhibits for different audiences. He hopes to serve as an intern to gain experience for a career in museums.
The document discusses the MEF Schools Technology Commission, which was established to better integrate technology into education. The commission aimed to have students learn at their own pace using technology, increase motivation, and prepare them for lifelong learning. It conducted surveys of teachers, increased computer availability, and provided training to improve technology use. The commission also established guidelines for a Teaching Technologies Department and developed learning materials using a multi-step process. It created an online parent-student portal and collaborated with universities on initiatives like one-to-one learning with tablets.
This certificate certifies that Saeed Alyahya successfully completed the International OnQ PM 200 - Groups Level Two course on October 6, 2015 at 11:46 AM Eastern Standard Time.
China retailing industry market forecast and investment strategy planning rep...Qianzhan Intelligence
The document provides an overview and analysis of the China Retailing Industry market from 2013 to 2017. It covers topics such as the development environment, status, major product markets, and regional markets of the China Retailing Industry. The key findings are:
1. The competition in the Retailing Industry is intensifying with frequent mergers and capital operations among large retailers. Leading Chinese retailers are placing more emphasis on in-depth industry and customer research.
2. The report provides a comprehensive analysis of the Retailing Industry using market data tracked over the long term and international analysis models. It covers areas such as development trends, investment prospects, and operations of leading companies.
3. The most significant features of the report
Environment for Service Creation and Testing in the Internet of Thingsiotest
K. Moessner, Environment for Service Creation and Testing in the Internet of Things, at the IERC AC14 Cognitive Technologies in IoT (during the IoT-week 2012), Venice, Italy, 18 June 2012
Naming, Search and Discovery in IoT: Issues and proposed solutions in the FP7...iotest
Naming, Search and Discovery in IoT: Issues and proposed solutions in the FP7 EU IoT.est Project, presented at the IERC AC2 meeting at the FIA (Future Internet Assembly), Aalborg, Denmark, 9 May 2012
The document discusses Internet of Things (IoT) architecture. It describes several IoT reference architectures including the European Telecommunications Standards Institute's oneM2M model, the International Telecommunication Union's model, the Internet Engineering Task Force's framework, and the Open Geospatial Consortium's sensor web enablement architecture. It then provides an overview of IoT reference models and reference architectures, explaining how they are related and can be used to develop actual IoT systems. Key aspects covered include functional views, information views, and deployment views.
Mechanisms for Real World Services, presented in the session: "Empowering IoT through virtual objects and cognitive technologies", at the Internet of Things Workshop, during the Future Internet Week, Poznan, Poland, 24-28 October 2011
The IoT.est project involves 8 partners from 7 countries to develop a test-driven service creation environment for Internet of Things enabled business services. The environment will allow acquisition of sensor and device data and control of actuators across domains. It will also facilitate run-time monitoring and autonomous service adaptation to changes in environment, context, and network parameters. The IoT.est architecture builds upon existing IoT platforms by providing common interfaces, resource control and management, security and privacy mechanisms, and discovery services.
Internet of Things Environment for Service Creation and Testing (IoT.est)iotest
S Nechifor, Internet of Things Environment for Service Creation and Testing (IoT.est), at CompArch 2012 Main Program (Industry Day, Wednesday 27 June), Bertinoro, Italy, 25-28 June 2012
Dynamic Semantics for Semantics for Dynamic IoT EnvironmentsPayamBarnaghi
This document discusses the need for dynamic semantics to handle the complex and changing nature of data in IoT environments. It notes that while semantic models and ontologies exist and are helpful for interoperability, they need to be designed simply and account for the dynamic nature of IoT data. Semantic annotations may change over time and location, and tools are needed to update them automatically. Overall, semantics are an important part of solving interoperability but must be implemented carefully considering the constraints of IoT environments.
IoT Stream: A Lightweight Ontology for Internet of Things Data Streams (GIoTS...Tarek Elsaleh
Abstract: In recent years, the development and deployment
of Internet of Things (IoT) devices has led to the generation of
large volumes of real world data. Analytical models can be used to
extract meaningful insights from this data. However, most of IoT
data is not fully utilised, which is mainly due to interoperability
issues and the difficulties to analyse data collected by heterogeneous
resources. To overcome this heterogeneity, semantic
technologies are used to create common models to share various
data originated from heterogeneous sources. However, semantics
add further overhead to data delivery, and the processing time
to annotate the data with the model can increase the latency and
complexity in publishing and querying the annotated data. In
this paper, we present a lightweight semantic model to annotate
IoT streams. The metadata descriptions that are provided in the
models are used for search and discovery of the data using various
attributes such as value and type. The proposed model extends
commonly used ontologies such as W3C/OGC SSN ontology
and its recent lightweight core, SOSA, and includes concepts
to describe streaming IoT data. We also show use cases, tools
and applications where the proposed model has been used.
This document provides an overview of the IoT-A ARM (Architecture Reference Model). It describes the main components of the ARM including the reference model, reference architecture, functional view, information view, development and operation view, and perspectives. The reference model includes domain, physical entity, virtual entity, user, device, resource, and service models. The functional view describes functional components and their interactions, such as IoT process management, service organization, IoT services, virtual entity, communication, security, and management. The information view and development/operation view also provide architectural views. Finally, perspectives like evolution/interoperability, performance/scalability, trust, security, privacy, availability are discussed at a high level.
The document discusses the logical design of the Internet of Things (IoT). It describes the key functional blocks of an IoT system, including devices, communication, services, management, security, and applications. It then explains different communication models in IoT, such as request-response, publish-subscribe, push-pull, and exclusive pair models. Finally, it covers IoT communication APIs like REST-based and WebSocket-based APIs, and outlines the differences between the two.
These slides were used at the first Aarhus Follower Group meet-up for the EU-funded project IoTCrawler. They entail an introduction to the project aswell as a more in depth presentation of the difference between web search and Internet of Things (IoT) search an the development of Internet of Things. Furthermore some of the scenarios from the project are presented.
The document discusses the key concepts of IoT including its definition, characteristics, physical and logical design, protocols, levels and deployment templates. Specifically, it defines IoT as a global network of devices with sensing/actuation and communication capabilities. It describes the various components of an IoT system including devices, resources, controllers, databases, services, analytics and applications. Finally, it outlines six levels of IoT systems with increasing complexity from single device/node to multiple interconnected devices and centralized control.
The document provides an introduction to IoT, including definitions, characteristics, physical and logical designs, communication protocols, and deployment models. It defines IoT as a global network of devices with sensing/actuation and communication capabilities. The physical components are "things" like sensors and devices. Logically, IoT systems use models like publish-subscribe and request-response. Deployment is classified into 6 levels based on the network topology and where data is stored and processed.
The document provides an overview of Internet of Things (IoT) including definitions, characteristics, physical and logical designs, protocols, and deployment levels. It defines IoT as a dynamic global network of devices connected using standard protocols. The physical design section describes IoT devices' sensing, actuating, and monitoring capabilities. The logical design outlines functional blocks for identification, sensing, communication and management. It also describes common communication models like request-response, publish-subscribe, and REST APIs. Finally, it outlines six levels of IoT deployment with varying device, data, analysis and application configurations.
Assisting IoT Projects and Developers in Designing Interoperable Semantic Web...Amélie Gyrard
Assisting IoT Projects and Developers in Designing Interoperable Semantic Web of Things Applications
The 8th IEEE International Conference on Internet of Things (iThings 2015), 11-13 December 2015, Sydney, Australia
Amelie Gyrard, Christian Bonnet, Karima Boudaoud, Martin Serrano
Dynamic Semantics for the Internet of Things PayamBarnaghi
Ontology Summit 2015 : Track A Session - Ontology Integration in the Internet of Things - Thu 2015-02-05,
http://ontolog-02.cim3.net/wiki/ConferenceCall_2015_02_05
The document introduces concepts related to the Internet of Things (IoT). It defines IoT as a global network of physical objects connected by standard communication protocols. It describes the characteristics, physical design, logical design and communication models of IoT systems. It also outlines different levels of IoT deployment from single-node level 1 systems to distributed level 6 systems with multiple independent nodes communicating with cloud-based analytics and applications.
The document introduces concepts related to the Internet of Things (IoT). It defines IoT as a global network of physical objects connected by standard communication protocols. It describes the characteristics, physical design, logical design and communication models of IoT systems. It also outlines different levels of IoT deployment from single-node level 1 systems to distributed level 6 systems with multiple independent nodes communicating with cloud-based analytics and applications.
The document provides an overview of Internet of Things (IoT) concepts from the book "Internet of Things: A Hands-On Approach". It begins with definitions of IoT and its key characteristics such as being dynamic, self-configuring, using interoperable communication protocols, and giving things unique identities. It then covers the physical and logical design of IoT including IoT devices, protocols, and communication models. Finally, it discusses different levels of IoT systems from single to multiple devices and deployment templates.
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Interoperability issues and challenges for IoT Services and Resources
1. Interoperability issues and challenges for IoT
Services and Resources
Payam Barnaghi
Centre for Communication Systems Research
University of Surrey
Guildford, UK
IoT Interoperability workshop
26th March 2012, Paris
2. IoT.est – a quick snapshot
• IoT.est will develop a test-driven service creation environment
(SCE) for Internet of Things enabled business services.
• The SCE will enable the acquisition of data and
control/actuation of sensors, objects and actuators.
• The project will provide the means and tools to define and
instantiate IoT services that exploit data across domain
boundaries;
• IoT.est will facilitate run-time monitoring and will enable
autonomous service adaptation to environment/context and
network parameter (e.g. QoS) changes.
3. IoT.est: The Key issues
• IoT enabled Business Services: Semantic Description
• Service Composition: A Knowledge based Approach
• Service Components: Re-usable, Interoperable and Adaptive
• Abstraction: Mapping to Heterogeneous Platforms and Large
Scale Deployment
• Testing (Design Time): Automated Generation of Tests
• Monitoring (Run-Time): Context-aware Service Adaptation
4. Requirements
• Structured representation of identified IoT concepts
– Machine-interpretable descriptions
– Reasoning mechanisms
• Homogeneous access mechanism to heterogeneous objects
with diverse capabilities
• Automated interactions and horizontal integration with existing
applications
5. Modelling Things and IoT Resources
• Resource model
– Gateway, sensors, processing resources
• Entity model
– Physical world objects
• Features of interest for each entity
• Service model
– IoT services and interfaces
6. What are the challenges?
• The models provide the basic description frameworks, but
alignment between different models and frameworks are
required.
• Semantics are the starting point, reasoning and interpretation
of data is required for automated processes.
• Real interoperability happens when data/services from
different frameworks and providers can be interchanged and
used with minimised intervention.
7. What are the practical steps?
• Linked data approach is a promising way of integrating data
from different sources and interlinking semantic descriptions.
• Alignment between different description models for IoT
Services/Resources/Entities;
• Proposing reference and abstract models for semantic
descriptions in IoT (e.g. similar to W3C SSN approach).