Use Cases of the CPaaS.io project as presented at the first year review meeting in Tokyo on October 5, 2017.
Disclaimer:
This document has been produced in the context of the CPaaS.io project which is jointly funded by the European Commission (grant agreement n° 723076) and NICT from Japan (management number 18302). All information provided in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular purpose. The user thereof uses the information at its sole risk and liability. For the avoidance of all doubts, the European Commission and NICT have no liability in respect of this document, which is merely representing the view of the project consortium. This document is subject to change without notice.
The document discusses using interactive event graphs and Spark to scale security investigations. It describes how Graphistry uses event graphs visualized through GPUs to provide scalable views of relationships and patterns across billions of events. An example is given of using this approach for incident response by constructing an event graph to analyze the spread of a botnet outbreak.
The document discusses Object Name Service (ONS) and Discovery Service (DS) for looking up static and dynamic information about things identified by GS1 IDs. ONS allows looking up static information by converting a GS1 ID to a Fully Qualified Domain Name and querying DNS servers. DS allows looking up dynamic information like event registrations by querying a service with a GS1 ID and time period. The document proposes architectures and standards for federating these services globally and enhancing DS to return real-time location information for things near a user's location.
GS1 EPCglobal framework and Oliot Project OverviewDaeyoung Kim
The document provides an overview of the GS1/EPCglobal standards and the Oliot project. It discusses key aspects of the GS1/EPCglobal standards including the Global Product Classification, Application Identifiers, GS1 Keys like the Global Trade Item Number and Serial Shipping Container Code, and the Electronic Product Code. It also provides an overview of the scope and components of the Oliot project, an open source IoT framework based on GS1 standards that aims to identify, capture, control and share information about smart things through technologies like RFID, sensors and actuators.
This document provides an overview of the Internet of Things presented by Daeyoung Kim, the Director of Auto-ID Labs at KAIST. It discusses several case studies and research projects around healthcare applications, smart agriculture and food traceability. It also covers the role of standards from GS1 and technologies developed at Auto-ID Labs like Oliot, SNAIL, and EPCIS that aim to realize the vision of connecting everything to the Internet and supporting the exchange of information.
This presentation discusses using EPCIS (Electronic Product Code Information Services) and distributed storage and processing platforms like Oliot, Cassandra, and Storm for managing real-time IoT data from RFID and sensor devices. It proposes extending EPCIS standards to support additional IoT device event types and using Cassandra for distributed storage and Storm for real-time analytics of large volumes of continuous IoT data streams.
The document discusses GS1 Digital, a new GS1 standard for communicating product information like GTIN and attributes in a computer-readable format online. GS1 Digital will improve online product search accuracy and allow aggregation of third-party reviews. It benefits consumers through better search results and businesses through increased sales and lower costs. While support for GS1 Digital is growing, more participation is needed from manufacturers and search engines. The presented work on Oliot also utilizes GS1 infrastructure to identify and track objects online and extends GS1 standards for IoT applications.
MapR offers an enterprise distribution of Hadoop that supports a broad range of use cases. It has been chosen by major companies like Google and Amazon for its capabilities. The document discusses three stories of how companies have benefited from using MapR: 1) A telecom company was able to offload ETL processing to gain a 20x cost performance advantage. 2) A company improved the performance of a recommendation engine on large datasets. 3) A machine learning expert was able to reproduce models accurately and explain previous recommendations.
The document discusses plans for an open source Oliot project and community. It describes establishing a GitHub organization and repository structure for project code. Developers can contribute by forking repositories, developing code locally, and submitting pull requests for review. Mailing lists and web pages will facilitate community involvement and communication. The project utilizes branch management for releases and features. Future goals include releasing new Oliot versions with expanded capabilities and industry support.
The document discusses using interactive event graphs and Spark to scale security investigations. It describes how Graphistry uses event graphs visualized through GPUs to provide scalable views of relationships and patterns across billions of events. An example is given of using this approach for incident response by constructing an event graph to analyze the spread of a botnet outbreak.
The document discusses Object Name Service (ONS) and Discovery Service (DS) for looking up static and dynamic information about things identified by GS1 IDs. ONS allows looking up static information by converting a GS1 ID to a Fully Qualified Domain Name and querying DNS servers. DS allows looking up dynamic information like event registrations by querying a service with a GS1 ID and time period. The document proposes architectures and standards for federating these services globally and enhancing DS to return real-time location information for things near a user's location.
GS1 EPCglobal framework and Oliot Project OverviewDaeyoung Kim
The document provides an overview of the GS1/EPCglobal standards and the Oliot project. It discusses key aspects of the GS1/EPCglobal standards including the Global Product Classification, Application Identifiers, GS1 Keys like the Global Trade Item Number and Serial Shipping Container Code, and the Electronic Product Code. It also provides an overview of the scope and components of the Oliot project, an open source IoT framework based on GS1 standards that aims to identify, capture, control and share information about smart things through technologies like RFID, sensors and actuators.
This document provides an overview of the Internet of Things presented by Daeyoung Kim, the Director of Auto-ID Labs at KAIST. It discusses several case studies and research projects around healthcare applications, smart agriculture and food traceability. It also covers the role of standards from GS1 and technologies developed at Auto-ID Labs like Oliot, SNAIL, and EPCIS that aim to realize the vision of connecting everything to the Internet and supporting the exchange of information.
This presentation discusses using EPCIS (Electronic Product Code Information Services) and distributed storage and processing platforms like Oliot, Cassandra, and Storm for managing real-time IoT data from RFID and sensor devices. It proposes extending EPCIS standards to support additional IoT device event types and using Cassandra for distributed storage and Storm for real-time analytics of large volumes of continuous IoT data streams.
The document discusses GS1 Digital, a new GS1 standard for communicating product information like GTIN and attributes in a computer-readable format online. GS1 Digital will improve online product search accuracy and allow aggregation of third-party reviews. It benefits consumers through better search results and businesses through increased sales and lower costs. While support for GS1 Digital is growing, more participation is needed from manufacturers and search engines. The presented work on Oliot also utilizes GS1 infrastructure to identify and track objects online and extends GS1 standards for IoT applications.
MapR offers an enterprise distribution of Hadoop that supports a broad range of use cases. It has been chosen by major companies like Google and Amazon for its capabilities. The document discusses three stories of how companies have benefited from using MapR: 1) A telecom company was able to offload ETL processing to gain a 20x cost performance advantage. 2) A company improved the performance of a recommendation engine on large datasets. 3) A machine learning expert was able to reproduce models accurately and explain previous recommendations.
The document discusses plans for an open source Oliot project and community. It describes establishing a GitHub organization and repository structure for project code. Developers can contribute by forking repositories, developing code locally, and submitting pull requests for review. Mailing lists and web pages will facilitate community involvement and communication. The project utilizes branch management for releases and features. Future goals include releasing new Oliot versions with expanded capabilities and industry support.
Palestra apresentada por Pedro Mário Cruz e Silva, Solution Architect da NVIDIA, como parte da programação da VIII Semana de Inverno de Geofísica, em 19/07/2017.
Graph Gurus Episode 11: Accumulators for Complex Graph AnalyticsTigerGraph
This document discusses using accumulators in GSQL for complex graph analytics. Accumulators allow for parallel aggregation of data across nodes in a graph. Different types of accumulators like sum, max, min, and average accumulators are described. Examples provided include counting movies seen by friends and calculating PageRank across a graph. Accumulators support parallel processing by multiple workers and efficient consolidation of results.
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the on-demand sessions from the OpenACC Summit 2020, upcoming GPU Hackathons and Bootcamps, an OpenACC-to-FPGA framework, the NERSC GPU Hackathon, new resources and more!
I International Workshop RFID and IoT - Dia 19 - Delivering Value through GS...CPqD
The document discusses GS1 standards for implementing RFID and the Internet of Things using EPCglobal standards. It provides an overview of GS1 as a nonprofit organization and describes their EPCglobal standards for product identification, tagging, and supply chain visibility using RFID. These standards include the EPC numbering system, EPC tag data standard, EPCIS for capturing and sharing supply chain events, and related protocols.
This document summarizes episode 13 of the Graph Gurus podcast. It discusses visualizing the Bitcoin blockchain with TigerGraph. Key points include:
- How to load the Bitcoin dataset into TigerGraph and demo exploring the Bitcoin blockchain graph in TigerGraph.
- TigerGraph can scale to handle the large size of the blockchain better than other graph databases and support more complex queries as the network grows.
- A new Kafka loader in TigerGraph 2.3 allows streaming Bitcoin transaction data from Kafka for future integration with a real-time data pipeline.
This document summarizes a talk given by Mathieu Dumoulin of MapR Technologies about architecting hybrid cloud applications using streaming messaging systems. The talk discusses using streaming architectures to connect systems in hybrid clouds, with public and private clouds connected by streaming. It also discusses using streaming for IoT and microservices and highlights Kafka and Spark Streaming/Flink as streaming technologies. Examples of log analysis architectures spanning hybrid clouds are presented.
Converged and Containerized Distributed Deep Learning With TensorFlow and Kub...Mathieu Dumoulin
Docker containers running on Kubernetes combine with MapR Converged Data Platform allow any company to potentially enjoy the same sophisticated data infrastructure for enabling teams to engage in transformative machine learning and deep learning for production use at scale.
This document discusses ITRI's research and development platforms for autonomous vehicles. ITRI has developed virtual simulation and real vehicle testing platforms to conduct full-cycle testing from model development to field tests. Their platforms support testing of sensing systems, driving control algorithms, and core autonomous vehicle modules. ITRI aims to develop novel sensing technologies, perception algorithms, and integrated sensing/computing/control systems through a V-shaped research and development process involving both virtual and real-world verification.
This document summarizes Li Shouming's report on his attendance at the Spark AI Summit 2018. Some key points:
- The summit was held June 4-6, 2018 in San Francisco with around 6,000 attendees. There were approximately 9-11 parallel sessions per day totaling 193 sessions.
- Notable sessions included one on Horovod, an open source framework from Uber that improves the performance of distributed deep learning on TensorFlow using MPI for gradient averaging. Another was a keynote from Databricks on Project Hydrogen, which aims to improve efficiency of deep learning frameworks on Spark.
- Additional sessions covered topics like advanced performance tuning in Spark SQL, and taking advantage of disaggregated storage and
The document discusses how different technologies like Hadoop, Storm, Solr, and D3 can be integrated to build a real-time search and recommendation system. It provides examples of how unprocessed data can be stored in Hadoop and indexed by Storm and Solr in real-time to power a search engine. User queries, clicks, and engagement data would then be analyzed to update the search index and provide personalized recommendations. Visualizations from usage data could also be generated in real-time using D3 and node.js.
Apricot2017 Request tracing in distributed environmentHieu LE ☁
This document discusses logging and request tracing in distributed environments. It begins by introducing the context of distributed systems like cloud computing. It then reviews the current logging solution of ELK and Graylog and identifies pros and cons. Key requirements for tracing are outlined, including the need for end-to-end debugging. Approaches for workflow-centric tracing are surveyed, including explicit metadata propagation, schema-based, and black-box tracing. Examples of Magpie and Zipkin are provided. The presentation concludes with a demo of request tracing in OpenStack using OSProfiler.
EDINA is a national data center in the UK that delivers geospatial data and services using open standards and open source software. It provides access to collections like Digimap and OpenBoundaries through web mapping applications and data downloads. EDINA uses open standards like OGC and open source software from OSGeo projects to build interoperable and resilient systems while reducing costs. This hybrid approach provides flexible and innovative services to users while meeting the needs of funders.
EDINA is a national data center in the UK that delivers geospatial data and services using open standards and open source software. It provides access to collections like Digimap and OpenBoundaries through web mapping applications and data downloads. EDINA uses open standards like OGC and open source software from projects in OSGeo to build robust and interoperable systems while reducing costs and increasing flexibility.
This document discusses smart apps and how Pivotal uses data science to build them. It describes three key components of smart apps: data, a smart system that uses data science to understand user behavior, and a user interface. It then provides examples of smart apps Pivotal has developed for logistics and automotive customers, describing how machine learning models were used to predict delivery locations and road conditions. The document emphasizes an API-first approach and using cloud platforms like Cloud Foundry to operationalize models and deliver insights through predictive APIs.
This presentation introduces open source, open source GIS, OSGeo. This talk was given to the people who attended 'Capacity Building For National Surveying and Geographic Information Institute' program.
Logging/Request Tracing in Distributed EnvironmentAPNIC
This document discusses logging and request tracing in distributed environments. It begins by introducing the context of distributed systems like cloud computing. It then reviews the current logging solution of ELK and Graylog and identifies pros and cons. Key requirements for tracing are outlined, including the need for end-to-end debugging. Approaches for workflow-centric tracing are surveyed, including explicit metadata propagation, schema-based, and black-box tracing. Examples of Magpie and Zipkin are provided. The presentation concludes with a demo of request tracing in OpenStack using OSProfiler.
This document discusses SDN and metrics from various standards development organizations (SDOs). It notes that many SDOs are developing YANG data models for network automation using model-driven APIs. There is growth in YANG models at the IETF and other SDOs like BBF, IEEE, MEF, and OpenConfig. However, coordination is needed between SDOs to reduce costs as the data models need to work together to create network services. A YANG catalog is proposed to help organize the industry and provide a common inventory of all YANG modules across SDOs and vendors.
Model-driven Telemetry: The Foundation of Big Data AnalyticsCisco Canada
This document discusses model-driven telemetry. It begins by explaining the origins of telemetry, noting its use in applications like military, medical, and networking. It then discusses telemetry use cases like network health monitoring, troubleshooting, and capacity planning. Next, it covers challenges with traditional telemetry methods like SNMP and syslog being too slow, incomplete, and hard to operationalize. The document then introduces the concepts of streaming telemetry and model-driven telemetry as an improved approach, discussing how it is based on open standards like YANG data models, gRPC protocol, and protocol buffer encodings. It provides examples of configuring sensors, destinations, and subscriptions on Cisco networking devices.
Complete set of presentations of the FIWARE Training Sessions in Tunisia. Deep introduction to the FIWARE Core Generic Enablers as well as NGSI/NGSI-LD and the next steps in AI, ML, and Robotics.
Session 1 - The Current Landscape of Big Data BenchmarksDataBench
The panelists discussed various big data and AI benchmarks. Axel Ngonga presented on benchmarking platforms and AI from the perspective of the BDVA TF6 Benchmark group. Wangling Gao discussed BenchCouncil benchmarks including BigDataBench and AIBench. Rekha Singhal talked about MLPerf for AI and ML benchmarking as well as ABench. Todor Ivanov provided a conclusion on the current big data and AI benchmark landscape. The DataBench framework was also introduced for relating benchmarks to the different steps in a generic big data pipeline.
Mobile IoT Middleware Interoperability & QoS Analysis - Eclipse IoT Day Paris...Nikolaos Georgantas
Research results by the Inria Paris MiMove Team on Mobile IoT Middleware Interoperability & QoS Analysis. Presentation at Eclipse IoT Day Paris Saclay 2019
Palestra apresentada por Pedro Mário Cruz e Silva, Solution Architect da NVIDIA, como parte da programação da VIII Semana de Inverno de Geofísica, em 19/07/2017.
Graph Gurus Episode 11: Accumulators for Complex Graph AnalyticsTigerGraph
This document discusses using accumulators in GSQL for complex graph analytics. Accumulators allow for parallel aggregation of data across nodes in a graph. Different types of accumulators like sum, max, min, and average accumulators are described. Examples provided include counting movies seen by friends and calculating PageRank across a graph. Accumulators support parallel processing by multiple workers and efficient consolidation of results.
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the on-demand sessions from the OpenACC Summit 2020, upcoming GPU Hackathons and Bootcamps, an OpenACC-to-FPGA framework, the NERSC GPU Hackathon, new resources and more!
I International Workshop RFID and IoT - Dia 19 - Delivering Value through GS...CPqD
The document discusses GS1 standards for implementing RFID and the Internet of Things using EPCglobal standards. It provides an overview of GS1 as a nonprofit organization and describes their EPCglobal standards for product identification, tagging, and supply chain visibility using RFID. These standards include the EPC numbering system, EPC tag data standard, EPCIS for capturing and sharing supply chain events, and related protocols.
This document summarizes episode 13 of the Graph Gurus podcast. It discusses visualizing the Bitcoin blockchain with TigerGraph. Key points include:
- How to load the Bitcoin dataset into TigerGraph and demo exploring the Bitcoin blockchain graph in TigerGraph.
- TigerGraph can scale to handle the large size of the blockchain better than other graph databases and support more complex queries as the network grows.
- A new Kafka loader in TigerGraph 2.3 allows streaming Bitcoin transaction data from Kafka for future integration with a real-time data pipeline.
This document summarizes a talk given by Mathieu Dumoulin of MapR Technologies about architecting hybrid cloud applications using streaming messaging systems. The talk discusses using streaming architectures to connect systems in hybrid clouds, with public and private clouds connected by streaming. It also discusses using streaming for IoT and microservices and highlights Kafka and Spark Streaming/Flink as streaming technologies. Examples of log analysis architectures spanning hybrid clouds are presented.
Converged and Containerized Distributed Deep Learning With TensorFlow and Kub...Mathieu Dumoulin
Docker containers running on Kubernetes combine with MapR Converged Data Platform allow any company to potentially enjoy the same sophisticated data infrastructure for enabling teams to engage in transformative machine learning and deep learning for production use at scale.
This document discusses ITRI's research and development platforms for autonomous vehicles. ITRI has developed virtual simulation and real vehicle testing platforms to conduct full-cycle testing from model development to field tests. Their platforms support testing of sensing systems, driving control algorithms, and core autonomous vehicle modules. ITRI aims to develop novel sensing technologies, perception algorithms, and integrated sensing/computing/control systems through a V-shaped research and development process involving both virtual and real-world verification.
This document summarizes Li Shouming's report on his attendance at the Spark AI Summit 2018. Some key points:
- The summit was held June 4-6, 2018 in San Francisco with around 6,000 attendees. There were approximately 9-11 parallel sessions per day totaling 193 sessions.
- Notable sessions included one on Horovod, an open source framework from Uber that improves the performance of distributed deep learning on TensorFlow using MPI for gradient averaging. Another was a keynote from Databricks on Project Hydrogen, which aims to improve efficiency of deep learning frameworks on Spark.
- Additional sessions covered topics like advanced performance tuning in Spark SQL, and taking advantage of disaggregated storage and
The document discusses how different technologies like Hadoop, Storm, Solr, and D3 can be integrated to build a real-time search and recommendation system. It provides examples of how unprocessed data can be stored in Hadoop and indexed by Storm and Solr in real-time to power a search engine. User queries, clicks, and engagement data would then be analyzed to update the search index and provide personalized recommendations. Visualizations from usage data could also be generated in real-time using D3 and node.js.
Apricot2017 Request tracing in distributed environmentHieu LE ☁
This document discusses logging and request tracing in distributed environments. It begins by introducing the context of distributed systems like cloud computing. It then reviews the current logging solution of ELK and Graylog and identifies pros and cons. Key requirements for tracing are outlined, including the need for end-to-end debugging. Approaches for workflow-centric tracing are surveyed, including explicit metadata propagation, schema-based, and black-box tracing. Examples of Magpie and Zipkin are provided. The presentation concludes with a demo of request tracing in OpenStack using OSProfiler.
EDINA is a national data center in the UK that delivers geospatial data and services using open standards and open source software. It provides access to collections like Digimap and OpenBoundaries through web mapping applications and data downloads. EDINA uses open standards like OGC and open source software from OSGeo projects to build interoperable and resilient systems while reducing costs. This hybrid approach provides flexible and innovative services to users while meeting the needs of funders.
EDINA is a national data center in the UK that delivers geospatial data and services using open standards and open source software. It provides access to collections like Digimap and OpenBoundaries through web mapping applications and data downloads. EDINA uses open standards like OGC and open source software from projects in OSGeo to build robust and interoperable systems while reducing costs and increasing flexibility.
This document discusses smart apps and how Pivotal uses data science to build them. It describes three key components of smart apps: data, a smart system that uses data science to understand user behavior, and a user interface. It then provides examples of smart apps Pivotal has developed for logistics and automotive customers, describing how machine learning models were used to predict delivery locations and road conditions. The document emphasizes an API-first approach and using cloud platforms like Cloud Foundry to operationalize models and deliver insights through predictive APIs.
This presentation introduces open source, open source GIS, OSGeo. This talk was given to the people who attended 'Capacity Building For National Surveying and Geographic Information Institute' program.
Logging/Request Tracing in Distributed EnvironmentAPNIC
This document discusses logging and request tracing in distributed environments. It begins by introducing the context of distributed systems like cloud computing. It then reviews the current logging solution of ELK and Graylog and identifies pros and cons. Key requirements for tracing are outlined, including the need for end-to-end debugging. Approaches for workflow-centric tracing are surveyed, including explicit metadata propagation, schema-based, and black-box tracing. Examples of Magpie and Zipkin are provided. The presentation concludes with a demo of request tracing in OpenStack using OSProfiler.
This document discusses SDN and metrics from various standards development organizations (SDOs). It notes that many SDOs are developing YANG data models for network automation using model-driven APIs. There is growth in YANG models at the IETF and other SDOs like BBF, IEEE, MEF, and OpenConfig. However, coordination is needed between SDOs to reduce costs as the data models need to work together to create network services. A YANG catalog is proposed to help organize the industry and provide a common inventory of all YANG modules across SDOs and vendors.
Model-driven Telemetry: The Foundation of Big Data AnalyticsCisco Canada
This document discusses model-driven telemetry. It begins by explaining the origins of telemetry, noting its use in applications like military, medical, and networking. It then discusses telemetry use cases like network health monitoring, troubleshooting, and capacity planning. Next, it covers challenges with traditional telemetry methods like SNMP and syslog being too slow, incomplete, and hard to operationalize. The document then introduces the concepts of streaming telemetry and model-driven telemetry as an improved approach, discussing how it is based on open standards like YANG data models, gRPC protocol, and protocol buffer encodings. It provides examples of configuring sensors, destinations, and subscriptions on Cisco networking devices.
Complete set of presentations of the FIWARE Training Sessions in Tunisia. Deep introduction to the FIWARE Core Generic Enablers as well as NGSI/NGSI-LD and the next steps in AI, ML, and Robotics.
Session 1 - The Current Landscape of Big Data BenchmarksDataBench
The panelists discussed various big data and AI benchmarks. Axel Ngonga presented on benchmarking platforms and AI from the perspective of the BDVA TF6 Benchmark group. Wangling Gao discussed BenchCouncil benchmarks including BigDataBench and AIBench. Rekha Singhal talked about MLPerf for AI and ML benchmarking as well as ABench. Todor Ivanov provided a conclusion on the current big data and AI benchmark landscape. The DataBench framework was also introduced for relating benchmarks to the different steps in a generic big data pipeline.
Mobile IoT Middleware Interoperability & QoS Analysis - Eclipse IoT Day Paris...Nikolaos Georgantas
Research results by the Inria Paris MiMove Team on Mobile IoT Middleware Interoperability & QoS Analysis. Presentation at Eclipse IoT Day Paris Saclay 2019
This is presentation slide for OpenStack Summit Austin 2016.
// Abstraction
Internet of Things is a hot topic today. Many companies are trying to create new business applications on a concept of IoT such as smart city, connected vehicle or smart grid. The platform for IoT applications has some unprecedented characteristics: (1) needs to accept huge number of connections simultaneously (2) needs to be highly reliable and secure (3) needs to be highly scalable.
We have designed, prototyped and evaluated a highly reliable IoT platform for collecting and storing large-scale data.
We explained our use case and architecture of IoT platform. We are tackling the following very high requirements during the process of prototyping and evaluating the platform.
• Receiving and storing messages from over 10M clients concurrently
• Highly reliable architecture of message broking without losing messages
• Instant scale-out to process burst traffic rapidly
We also discussed how we can adopt OpenStack to IoT backend and share ideas for its enhancement.
Fast Cars, Big Data How Streaming can help Formula 1Carol McDonald
This document discusses how streaming data and analytics can help Formula 1 racing teams. It provides examples of the large volume of sensor data collected from Formula 1 cars during races. The document demonstrates how streaming this data using Apache Kafka and analyzing it in real-time with tools like Apache Spark and Apache Flink can help teams with tasks like predictive maintenance, race strategy optimization, and driver coaching. It also discusses storing the streaming data in databases like Apache Drill and MapR-DB for ad-hoc querying and analysis.
This document provides instructions for a P4 tutorial being conducted using a virtual machine (VM). It outlines how to download and set up the VM, including logging in and pulling the latest tutorial files. It describes the overall goals of learning the P4 language, tools, and future technology trends through a series of presentations and exercises. Finally, it provides an agenda with topics that will be covered over the course of the tutorial.
The document provides information on the Big Data Europe Integrator Platform release, including its goals of being open source, easy to use, supporting various use cases, and embracing emerging big data technologies. It describes the platform architecture, supported frameworks, features like the development environment and administrator interface, and how it provides platform installation, usage instructions, and integrating custom components. Example pilot use cases are also listed covering domains like health, food, energy, transport, climate, social sciences, and security.
In this day and age where internet connectivity is becoming more and more ubiquitous, IPv4 addresses are forseen to be exhausted by 2011.
in this webcast, we will cover
why entreprises should migrate to IPv6
what the underlying challenges for such a migration are
how Orange Business Service can support you to successfully migrate from IPv4 to IPv6
Phoenix Data Conference - Big Data Analytics for IoT 11/4/17Mark Goldstein
“Big Data for IoT: Analytics from Descriptive to Predictive to Prescriptive” was presented to the Phoenix Data Conference on 11/4/17 at Grand Canyon University.
As the Internet of Things (IoT) floods data lakes and fills data oceans with sensor and real-world data, analytic tools and real-time responsiveness will require improved platforms and applications to deal with the data flow and move from descriptive to predictive to prescriptive analysis and outcomes.
Slides for my talk at Cloud Foundry Summit Europe 2016.
Nearly 1.2 million people die in road crashes each year (WHO - 2015) with additional millions becoming injured or disabled. One big part of this problem is worst road traffic conditions and unless action is taken, road traffic injuries are predicted to become the fifth leading cause of death by 2030. Moreover, although road traffic injuries have been a major cause of mortality for many years, most traffic accidents are both predictable and preventable. In this talk, we want to demonstrate a scalable IoT platform that uses weather data and data from other cars to warn drivers of dangerous conditions. We will show how CF can help to save human lives and the architecture behind this. Additionally, we will also explain the data science that is involved.
How to create an enterprise data lake for enterprise-wide information storage and sharing? The data lake concept, architecture principles, support for data science and some use case review.
Similar to CPaaS.io Y1 Review Meeting - Use Cases (20)
The Bern University of Applied Sciences and its Smart City ResearchStephan Haller
The document provides information about the Bern University of Applied Sciences and its Institute of Public Sector Transformation. It discusses the university's research focus on smart cities and its joint European-Japanese research project on developing a city platform as a service (CPaaS.io) to empower citizens and create public value. The project aims to validate the platform through use cases like smart transportation, emergency care, water management, and government. It seeks to develop blueprints to transfer solutions to other cities.
This document provides an overview of a session on smart ageing. It defines smart ageing as using technology and innovation in both the public and private sectors to improve quality of life for people aged 50 and over. The session will feature speakers from Bern University of Applied Sciences, KDDI Research, and Nara Institute of Technology discussing topics like smart ageing technologies, the importance of a compassionate community approach in addition to technology, and the need for a co-creation process that involves users. The goal is to explore how advances in areas like information technology, medical devices, and robotics can be combined with socio-cultural factors to promote independence and quality of life for an aging population.
The document discusses smart cities and public sector transformation. It provides definitions of smart cities from various organizations and outlines why cities are pursuing smart strategies. The key aspects of smart cities discussed are smart environment, society, economy, government, and how they relate to improving quality of life, efficiency, competitiveness and sustainability. Successful digital transformation of cities requires focus on 5 pillars - data, interconnection, openness, innovation policies, and participation.
Connecting Cities, Technologies and Citizens – the Swiss-European-Japanese pr...Stephan Haller
This document discusses the CPaaS.io project, a joint R&D project between Europe and Japan aiming to create an open social city platform. The project aims to develop an open city platform as a service that empowers citizens with their own data and validates the platform with use cases to provide public value. It received 3.2 million euro in funding over 2.5 years from the EU and Japanese government. The platform combines IoT, big data, and cloud services to connect technologies, citizens, and cities.
The document provides an overview of the u2 Toolbox, which is an integrated and open platform as a service for cities. It summarizes new components, enhanced components, and status of the toolbox. It then describes the key components of the toolbox including ucR-Light for platform federation, OPaaS.io personal data store, u2 Open Data Catalog, IoT Engine, and use cases involving Sapporo, Yokosuka, and Tokyo. It concludes with new use cases for fishery, forestry and emergency medical services.
The document summarizes dissemination activities of the CPaaS.io project from September 2018 to February 2019. It provides details on publications, events, workshops, and exploitation plans. The project had presence at several smart city and IoT conferences. It engaged with city stakeholders through workshops and showcased solutions in cities. Exploitation plans include utilizing tools and platforms in new projects and extending open source contributions. The project impacted smart city standardization and platform deployments are underway in Murcia and Amsterdam.
CPaaS.io - Overview - Final Review MeetingStephan Haller
The document provides an overview of the City Platform as a Service project which aims to provide an open urban data infrastructure to enable innovation in smart cities. The objectives of the project are to develop an open social city platform, deploy the platform as a service, empower citizens with their data, validate the platform with use cases, develop blueprints for adapting the solutions to other cities, and create impact in cities. Key achievements and metrics are provided for each objective, such as the number of use cases implemented, cities testing prototypes, and standards contributions made. Finally, the document discusses sustainability and deployment outlooks after the project's completion, with a focus on educating cities like Tokyo and potentially providing support for adoption.
Perspectives on Smart Cities Strategies: Sketching a Framework and Testing Fi...Stephan Haller
The document presents a framework for defining smart city strategies. It discusses existing smart city frameworks and identifies dimensions to consider, including city context, governance, implementation, and infrastructure. The framework is applied to analyze 6 cities, finding commonalities around quality of life motivations and differences in approaches. The framework is deemed useful for comparing cities and identifying strategy recommendations.
The document summarizes initiatives by Amsterdam Smart City to create a more livable city through smart technologies and open data. It discusses projects like:
1) A startup in residence program that provides training and support to startups working on smart city solutions, helping them pilot projects and access potential customers in the city administration.
2) Sharing traffic and other data openly through partnerships with companies like Google and TomTom to improve traffic flow and parking.
3) A "City Alerts" system to exchange emergency information between first responders to provide all relevant details during incidents.
4) A "Rainproof Amsterdam" project testing a smart roof that recycles rainwater, provides urban cooling, and supports urban
This document provides an overview of an EU-Japan smart city project and a city platform as a service solution. The project aims to develop an open social city platform, deploy the platform as a service, empower citizens with their data, validate the platform with use cases, and create blueprints for other cities. The document discusses what makes a smart city, the project partners and objectives, the platform architecture with different layers, and benefits for cities. It also examines success factors like stakeholder involvement, openness and data sharing, and upscaling potential. Example use cases presented are smart transportation, emergency care, water management, events, and government. The last section describes a Sapporo use case focusing on improving services for tourists using open data
CPaaS.io Y1 Review Meeting - Holistic Data ManagementStephan Haller
Data management and governance aspects of the CPaaS.io platform as presented at the first year review meeting in Tokyo on October 5, 2017.
Disclaimer:
This document has been produced in the context of the CPaaS.io project which is jointly funded by the European Commission (grant agreement n° 723076) and NICT from Japan (management number 18302). All information provided in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular purpose. The user thereof uses the information at its sole risk and liability. For the avoidance of all doubts, the European Commission and NICT have no liability in respect of this document, which is merely representing the view of the project consortium. This document is subject to change without notice.
Privacy and data protection are important in the context of IoT. The CPaaS.io platform empowers citizens to control the data that is related to them. This presentation given at the first year review meeting in Tokyo on October 5, 2017 explains how.
Disclaimer:
This document has been produced in the context of the CPaaS.io project which is jointly funded by the European Commission (grant agreement n° 723076) and NICT from Japan (management number 18302). All information provided in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular purpose. The user thereof uses the information at its sole risk and liability. For the avoidance of all doubts, the European Commission and NICT have no liability in respect of this document, which is merely representing the view of the project consortium. This document is subject to change without notice.
The CPaaS.io platform allows to make task logic - e.g., for analytics - to be adaptively moved from the cloud to the edge of an IoT network. This presentation given at the first year review meeting in Tokyo on October 5, 2017 explains how.
Disclaimer:
This document has been produced in the context of the CPaaS.io project which is jointly funded by the European Commission (grant agreement n° 723076) and NICT from Japan (management number 18302). All information provided in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular purpose. The user thereof uses the information at its sole risk and liability. For the avoidance of all doubts, the European Commission and NICT have no liability in respect of this document, which is merely representing the view of the project consortium. This document is subject to change without notice.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
CPaaS.io Y1 Review Meeting - Use Cases
1. City Platform as a Service – Integrated and Open
WP 2: Use Cases & Trials
Hiroshi Amano, Microsoft Japan
Martin Strohbach, AGT International
Year 1 Review Meeting, Tokyo
October 5, 2017
4. WP2 Use Case Overview
5.10.2017 CPaaS.io - Consortium Confidential 4
5. Main Results
• Objective 1: Evaluate fit of CPaaS.io for urban challenges
Defined Scenarios and requirements for all use cases driving the design of CPaaS.io (D2.1)
Initial prototoypes developed(D2.2): Water Management, Enhanced User Experience,
Sapporo Visitor Experience provided API to open, Yokusuka Emergeny Medical Care
2nd prototypes developed (D2.4) and integrated with CPaaS.io: Water Management, Enhanced User Experience
(EUE), Sapporo Visitor Experience
Pilot Executions: Color Run Utrecht, Sapporo Snow Festival, Yokusaka Emergency Medical Care
• Objective 2: Measure Transferability and Federation
Initial draft for common use case defined
Proposal to re-use EUE components for Sapporo Snow Festival
• Objective 3: Measure how CPaaS.io capabilities provided by other work packages improves the linking and
processing of both open and personal data sources.
Open Data: Sapporo Use Cases
Personal Data: Enhanced User Experience
Combination of Private and Open Data: Water Management
5.10.2017 CPaaS.io - Consortium Confidential 5
6. Results in Year 1 – European Use Cases
1) Water Management
2) Event Management - Enhanced User Experience
5.10.2017 CPaaS.io - Consortium Confidential 6
14. Data collected
Rain Buffer User Open data
Hardware (Serial, tank size,
flush rate)
Buffer location Weather
Brand
Transmission protocol
Water quantity
Humidity
Air Pressure
Temperature
5.10.2017 CPaaS.io - Consortium Confidential 15
22. My Events Summary
• Data collection effort at Color Run, Utrecht
• Validated relevance of Analytics with Smart
City Stakeholders (CeBIT, AGT internal)
• Integration of Personal and
Multimedia Data with CPaaS.io
• Deployment Knowledge Base
• With IoT Broker
• Developed My Events application
5.10.2017 CPaaS.io - Consortium Confidential 23
23. Data Collected
1.5 hours / 26GB
of video data
49min /16 GB of Slow runners
Ground truth
(Fully annotated)
30min/9.4GB of Fast Runners
Ground Truth
(Fully annotated)
3 min/221 MB of Ground truth for
time synching
4K/1MB to 19K/4MB per user GPS (Phone, TomTom)
Acceleration (Phone, MS Band 2,
Zephyr, Wahoo)
Gyroscope (MS Band 2)
Heart Rate (MS Band 2, TomTom,
Wahoo, Polar, Zephyr)
...
18 Pages of Questionnaires
179 Still Pictures
1 GB User Generated Content
(w/o Whatsapp data)
90K / 21 MB
GPS Locations
3.6GB Wearable
Data
Other Data
8 Participants
24. Analytics
Connect to exciting situations
Sample Metrics
• Happiness
• Activity
• Context: Color Intensity
• Fashion Style
• Running Type
• Dance Energy
Event Organizer
Quantify the event
Event Particpants
Quantify my experience
5.10.2017 CPaaS.io - Consortium Confidential 25
25. The running set up – MS Bands and GPS traces for all
Fun Runners ~ 40 min Ambitious Runners ~25 min
Front/rear Go Pro
Zephyr
TomTom
Polar
TomTom
Wahoo
Rear Go Pro Wahoo
Hexoskin Wahoo
26. Platform Integration
My Events
CPaaS.io AGT IoT Analytics Platform
Deployment
Knowledge Base
IoTBroker
Metadata Enrichment
Data Store
Event Metadata User Activity
(User Activity), Emotions, Images, GPS
traces, Runner Classification, Dance Energy
V1 described in D2.2 V2 work in progress (D2.4)
5.10.2017 CPaaS.io - Consortium Confidential 34
27. Results in Year 1 – Japanese Use Cases
Event Management – Sapporo Visitor Experience
5.10.2017 CPaaS.io - Consortium Confidential 35
28. Objective
• This project focused to provide any information for foreign visitors using
open data platform, especially to connect smart devices like smart phone.
• The purpose of the service is multi organization data and services used
for visitor hospitality through Open data platform and devises. The
platform provide tourism information with location data that is provided
by U2 architecture BLE beacons set in Sapporo City.
• The service is opened to public by Open API and any companies or
citizen can use the information for their own application and service.
• As CPaaS.io, ucode-base location and object data that is provided by BLE
beacon “kokosil” are the part of city platform service. The beacon and
service is designed on U2 Architecture and Azure cloud platform.
5.10.2017 CPaaS.io - Consortium Confidential 36
29. Over all architecture of Sapporo Opendata
5.10.2017 CPaaS.io - Consortium Confidential 37
CPaaS.io
30. Service scene
5.10.2017 CPaaS.io - Consortium Confidential 38
Information of “Okurayama Ski Jump Stadium”
for foreign tourist automatically translated in
multiple language
Guidance to tourist
Snow festival area
31. Open Data API
5.10.2017 CPaaS.io - Consortium Confidential 39
Namespace Identifier Comment
rdf
http://www.w3.org/1999/02/22-rdf-
syntax-ns#
RDF
rdfs
http://www.w3.org/2000/01/rdf-
schema#
RDF Schema
dc http://purl.org/dc/elements/1.1/ Dublin Core
dcterms http://purl.org/dc/terms/ DCMI Meta Terms
foaf http://xmlns.com/foaf/0.1/ FoaF (Friend of Friend)
geo
http://www.opengis.net/ont/geosparql
#
OGC GeoSPARQL 地理情報記述語彙
owl http://www.w3.org/2002/07/owl# W3C Web Obtology Language
xsd
http://www.w3.org/2001/XMLSchema-
datatypes
XML Schema Datatypes
ug http://uidcenter.org/vocab/ucr/ug#
uID Center Vocabulary set for
Features
ugsrv http://uidcenter.org/vocab/ucr/ugsrv# uID Center Vocabulary for GIS
ugx http://sapporo.odcity.org/vocab/ugx#
Vocabulary set for Features
Sapporo Open data expand
ugsrvx
http://sapporo.odcity.org/vocab/ugsrv
x#
Vocabulary for GIS
Sapporo Open data expand
hotel
http://sapporo.odcity.org/vocab/ugx/h
otel#
Accommodation data
event
http://sapporo.odcity.org/vocab/ugx/e
vent#
Event Data
shopping
http://sapporo.odcity.org/vocab/ugx/s
hopping#
Shopping data
skijump
http://sapporo.odcity.org/vocab/skiju
mp#
Ski jump event data
http://docs-sapporo.odcity.org/
32. Tourist information service by “ucode” beacon
Receive
beacon
Send beacon from
information board
Provide information of facilities
on board in multiple language
5.10.2017 CPaaS.io - Consortium Confidential 40
33. Translation service built in Open API
5.10.2017 CPaaS.io - Consortium Confidential 41
• Sapporo Open Data service provide every data from query
API
• User can use lang query in request parameters.
• “lang query” support language code based on ISO639
• When a lang query is specified, translate (translate) the
character string of literal notation into the specified
language and output it.
• lang If all is specified in the query, returns all languages
(translations) to hold.
• If a lang query is not specified, or if the corresponding
language (translation) does not exist, information on the
language code that originated the translation is returned.
(Currently, in this case all Japanese: ja is returned)
• Response returns language name in @ language property by
extending @ context. Also, if multiple language results exist,
it will store and return information for each language in the
array.
http://docs-sapporo.odcity.org/#langクエリによる言語指定
“lang query” API call Microsoft Azure Machine
Translation service API
Translation Hub provide integrated translation
service on Azure PaaS platform
35. Yokosuka City Emergency Medical Care:
System Overview
5.10.2017 CPaaS.io - Consortium Confidential 44
救急医療療⽀
⽀ 援
シ
ス
テム⽤⽤サーバ
ー
消防局 救急⾞⾞⾞・
ド
クターカー 救急病院
LTE等 インターネット回線
インターネット回線
インターネット回線
タブレット端末(iPad) タブレット端末(iPad)☓1
ネットカメラ☓2
LTEルータ☓1
タブレット端末(iPad)
通信は基本的にすべて暗号化
患者情報(映像)はサーバーを
介さず救急⾞⾞⾞と
病
院で P2P通信
u2 Open
IoT Platform
Internet
Internet
TabletTablet
Internet LTE etc.
Tablet x 1
Network Camera x 2
LTE Router x1
Communication is basically encrypted
Patients’ image is sent from ambulance to
hospital on P2P communication
Ambulance HospitalFire Department
36. Yokosuka City Emergency Medical Care:
Main Functions
5.10.2017 CPaaS.io - Consortium Confidential 45
Remotely
Controllable
Camera Transferring
patient’s
information
Function 1: Video Transmission
Doctors in Hospital can see
patients’ images or monitors
in real-time
Function 2: Ambulance Location Shared
Monitoring current position of
ambulances carrying patients in hospital
(Doctors can know their arrival time precisely)
37. Results in Year 1 – Joint Use Case
Concrete scenario development on more than 6 concrete Event
Management scenarios for Sapporo Snow Festival
Scenario Description for overall Joint Use Case
5.10.2017 CPaaS.io - Consortium Confidential 47
38. Scenario Opportunities
The Sculptures The Attractions
The Sculptors
Hottest Sculpture
My Sculpture Rating
My Attractions
Automatic Rating
Coolest Sculptor
Publish IoT
Attractiveness as
Open Data
39. Joint Event Management Scenario
Working Document drafted as basis for dicussion
• Focused around Marcus Terada, a post-millenial
• Core idea: providing a cross event experience
across boundaries benefiting from all event
management features (signage, transportation,
experience quantification)
• Challenges:
• Platform interoperability in order to enable a seemless user
experience
• Empowering a world citizen to have control over his data
5.10.2017 CPaaS.io - Consortium Confidential 58
41. Preparation
Review &
Registration
User
Consent
Execution
Handling of Personal Data must be addressed
Process established (WP1):
5.10.2017 CPaaS.io - Consortium Confidential 60
Necessary information
• Type of personal data
• Purpose
• Duration
• Retention policy
• Etc.
Involved authorities
• Depends on
country or region
• Data Protection
Officers
• Public authorities
Documents
• Consent Form
• Explanation of
important matters
42. How is it addressed in the different use cases?
Use Case Personal Data
Recorded?
Measures
Enhanced User Experience ●
• 8 participants, all signed consent forms
• Access to this data restricted to people who need to
know
Sapporo Visitor Experience ×
• Sapporo city data uses CC-BY license
• Certified security standards of Azure platform
Tokyo Management of Service Vehicles (×)
Currently no measures necessary. Will be reviewed before
implementation.
Waterproof Amsterdam × • Data transmissions secured by SSL
Yokosuka Emergency Medical Care ●
• Information sticker in ambulances
• Approval by the Yokosuka City Committee on Data
Privacy
• Consent form designed for use in prototypes
5.10.2017 CPaaS.io - Consortium Confidential 61
●: Personal Data is recorded
×: Personal Data is not recorded
43. Transfer of Personal Data
Data Transfer Agreement with OdinS under
discussion
• Compliance with Data Protection Regulations
(German and European GDPR)
• Obligations of Parties
• Cooperation for Data Subject enquiries
• Implementation of TOMs and Consent Forms
• Main challenge: Adaptation to Research Context
5.10.2017 CPaaS.io - Consortium Confidential 62
Agreement is pre-requisite for managing Personal
Data in CPaaS.io platform
44. Plan for Year 2
Focus on validation, joint use case development and transferability
5.10.2017 CPaaS.io - Consortium Confidential 63
45. WP2 Outlook
• Application Development and Integration
• Enhanced User Experience Application
• Integration with Security layer
Include more events, progress CPaaS.io integration
• Waterproof Amsterdam
• Field tests, Security integration, Improve user experience
• Yokosuka City Emergency Medical Care
• Same architecture will spread to Miura City depend on agreement
• Tokyo Management of Service Vehicles
• Implement the output of AODPT include bus and other vehicle transportation data
• Joint Use Case Development
• Implementation of Joint Use Cases
• Confirming to local authority and other orgs to use data of Sapporo
• Work on Transfer and Blue-Prints
• Smart City Strategy Framework
5.10.2017 CPaaS.io - Consortium Confidential 64
46. Gracias Mulțumesc 謝謝 Paldies Eskerrik asko Dziękuję Mahalo תודה Go raibh maith agat спасибо Grazzi आभारी
Xin cảm ơn 감사합니다 நன்றி Köszönöm مرسي Ndiyabulela Grazia Tak Благодаря Aitäh Terima kasih Děkuji
Asante Diolch شكرا Takk Ďakujem Gràcies Kiitos Obrigado Teşekkür ederim Ngiyabonga Þakka þér Grazas
Tapadh leibh ขอบคุณ Faleminderit Ačiū Danke Merci Grazie Hvala Ευχαριστώ Dankon Tack Dank je Grazcha
…
Thank You
ありがとう
This document has been produced in the context of the CPaaS.io project which is jointly funded by the European
Commission (grant agreement n° 723076) and NICT from Japan (management number 18302). All information provided
in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular
purpose. The user thereof uses the information at its sole risk and liability. For the avoidance of all doubts, the European
Commission and NICT have no liability in respect of this document, which is merely representing the view of the project
consortium. This document is subject to change without notice.
5.10.2017 CPaaS.io - Consortium Confidential 65
Editor's Notes
For the EUJ-02-2016 call text, refer to https://ec.europa.eu/programmes/horizon2020/sites/horizon2020/files/05i.%20LEIT-ICT_2016-2017_pre-publication.pdf, page 108ff.
Progress from 1st to 2nd prototypes
Water Management – FIWARE integration
EUE – Web Front End, New Analytics, Integration w FIWARE
Sapporo – Services for Snow Festival
My Events application uses WP6 Deployment KB to connect events and deployment data
Initial draft on data transfer agreements for personal data
. roof tanks store rain water
. Buildings and users can build use cases with their smart water tank: gardening, tap water, cooling. Saving public water
. Empower citizen belonging to a community
- 1st part: Accept multiple transmission protocol, using TTN to connect to LoRa devices and standart HTTP for internet connected devices
- 2nd part:
Dataflow, sensor data are populated with metadata and semantic is added. Message from different endpoints are
Interface, HTTP api to manage the devices profiles and Mydevices dashboard
- 3rd part: Waterproof is stateless, everything is stored and managed by CPaaS
Water tank user have two ways to activate their buffer.
User -> city context; water management admin to actuate buffer in batch
User -> MyDevices; owner can actuate their buffer trough a Mydevices dashboard
The integration block translate the different message type for the router. the router ask CPaaS for the device profile and then send the message accordingly.
1 GB of data per user and event
MS Band 2 HR, ACC
TomTom Spark Cardio HR, GPS
Laiwell HR, ACC Wahoo Tickr X HR Polar HR Zephyr HR, ACC, BR*
Nico Video Index 6:00
Location-based Services based on beacons for Sapporo, Murcia and Heidelberg