IoTシステムで駅となる褒圭鰺佚における匯違議な深え圭と、AWS IoTでg廾するHのポイントをh苧
Describe the general idea in bidirectional communication which is essential in IoT system and points to implement in AWS IoT
(Using in Interop Tokyo 2016)
IoT across devices with Windows 10 and Azure IoT Suite by Admir Tuzovi?Bosnia Agile
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More and more, we¨re seeing the Internet of Things (IoT) become part of the fabric of business, helping converge an organization¨s assets, data and processes with people and business systems. Today, this intersection is allowing enterprises to uncover new opportunities, create new business models and transform their operations C from elevators, to particle accelerators and washing machines C to become truly digital businesses.
Microsoft¨s vision is to help companies thrive in this era of IoT, delivering open, scalable platforms and services that any company, whether startup or the most established global enterprises, can use to create new value, right now. We have made huge investments in the Windows 10 IoT operating system for devices, and equally with the Azure IoT Suite, we¨re bringing together a variety of Azure services to help our customers accelerate their transformation to digital businesses.
The Azure IoT Suite is an integrated offering that takes advantage of all the relevant Azure capabilities to connect devices and other assets (i.e. ^things ̄), capture the diverse and voluminous data they generate, integrate and orchestrate the flow of that data, and manage, analyze and present it as usable information to the people who need it to make better decisions as well as intelligently automate operations. The offering, while customizable to fit the unique needs of organizations, will also provide finished applications to speed deployment of common scenarios we see across many industries, such as remote monitoring, asset management and predictive maintenance, while providing the ability to grow and scale solutions to millions of ^things. ̄
MongoDB IoT City Tour STUTTGART: The Microsoft Azure Platform for IoTMongoDB
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Presented by, Dr Christian Geuer-Pollmann, Senior Technology Evangelist at Microsoft.
The presentation gives a solid overview to the Microsoft Azure platform, with a special emphasis on scenarios for IoT workloads. First, Christian provides an introduction to Microsoft Azure¨s IaaS compute and networking infrastructure (i.e. virtual machines, virtual networks, load balancers and HA concepts). The second part of the presentation focuses on higher-order services in Azure, such as relational data bases, machine learning, search, and NoSQL offerings. Last, Christian explains how the Azure Service Bus and the Intelligent Systems Services fit into the overall IoT landscape.
際際滷s for the presentation at Elastic {ON} Tour Tokyo 2017
https://www.elastic.co/elasticon/tour/2017/tokyo
Session Video: https://www.elastic.co/jp/elasticon/tour/2017/tokyo/microsoft
[Microsoft Cognitive Toolkit (CNTK) on Azure ハンズオン] Microsoft Azure の AI vBサ`ビスNaoki (Neo) SATO
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Microsoft Cognitive Toolkit (CNTK) on Azure ハンズオン
https://satonaoki.wordpress.com/2017/08/06/cntk-hands-on/
Microsoft Cognitive Toolkit (CNTK) on Azure ハンズオン (2017/08/05)
https://jazug.connpass.com/event/61939/
IoT Devices Compliant with JC-STAR Using Linux as a Container OSTomohiro Saneyoshi
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Security requirements for IoT devices are becoming more defined, as seen with the EU Cyber Resilience Act and Japan¨s JC-STAR.
It's common for IoT devices to run Linux as their operating system. However, adopting general-purpose Linux distributions like Ubuntu or Debian, or Yocto-based Linux, presents certain difficulties. This article outlines those difficulties.
It also, it highlights the security benefits of using a Linux-based container OS and explains how to adopt it with JC-STAR, using the "Armadillo Base OS" as an example.
Feb.25.2025@JAWS-UG IoT
9. Stream Analytics
? 寄楚のデ`タをリアルタイムにI尖するクエリエンジン
9
Azure
Stream
Analytics
SELECT
System.Timestamp as Time,
DeviceId,
CAST(AVG(frompis.Temp) AS float) AS Temp,
CAST(AVG(frompis.Pressure) AS float) AS Pressure,
CAST(AVG(frompis.Hum) AS float) AS Hum,
CAST(AVG(frompis.HiLux) AS float) AS HiLux,
CAST(AVG(frompis.LowLux) AS float) AS LowLux
INTO
powerbi
FROM
raspisensors TIMESTAMP BY Date
GROUP BY
DeviceId,
TumblingWindow(second, 30)
SQL Database
Storage
Document DB
Event Hub
Power BI