#iot

Farnell element14 now stocking sensor solutions from TE Connectivity

By Zenobia Hegde

Farnell element14, the Development Distributor, is now stocking a wide range of sensors from TE Connectivity (TE), a provider in connectivity and sensor solutions. TE sensors are available for same day shipping through the Farnell element14 site.

Access to a broad range of sensors provides engineers with the choices required to develop various applications, based on specifications such as sensitivity, range, precision, resolution and accuracy. From industrial applications to the latest consumer devices, TE’s broad range of sensors provide critical sensing capabilities in multiple industries.

TE sensors, offered through Farnell element14, include:

Pressure sensors: offer digital or analog outputs and are signal conditioned, calibrated over temperature
NTC thermistors: meet the specific sensing demand of critical OEM applications
Temperature and humidity sensors: measure both relative humidity and temperature with accuracy and precision over a wide range of conditions and environments
Sensor development boards: offer low power and small form factors, and provide plug and play tools for various development platforms
Force and load cell sensors: combine durability and long-term stability in cost-effective packages
Flow sensors: feature reed switch reliability and designed for water control, power showers, central heating systems, circulation pump protection, cooling and leak detection

View Farnell element14’s full selection of TE sensors here.

Comment on this article below or via Twitter: @IoTNow_OR @jcIoTnow

The post Farnell element14 now stocking sensor solutions from TE Connectivity appeared first on IoT Now – How to run an IoT enabled business.

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Farnell element14 now stocking sensor solutions from TE Connectivity

By News Aggregator

By Zenobia Hegde

Farnell element14, the Development Distributor, is now stocking a wide range of sensors from TE Connectivity (TE), a provider in connectivity and sensor solutions. TE sensors are available for same day shipping through the Farnell element14 site.

Access to a broad range of sensors provides engineers with the choices required to develop various applications, based on specifications such as sensitivity, range, precision, resolution and accuracy. From industrial applications to the latest consumer devices, TE’s broad range of sensors provide critical sensing capabilities in multiple industries.

TE sensors, offered through Farnell element14, include:

Pressure sensors: offer digital or analog outputs and are signal conditioned, calibrated over temperature
NTC thermistors: meet the specific sensing demand of critical OEM applications
Temperature and humidity sensors: measure both relative humidity and temperature with accuracy and precision over a wide range of conditions and environments
Sensor development boards: offer low power and small form factors, and provide plug and play tools for various development platforms
Force and load cell sensors: combine durability and long-term stability in cost-effective packages
Flow sensors: feature reed switch reliability and designed for water control, power showers, central heating systems, circulation pump protection, cooling and leak detection

View Farnell element14’s full selection of TE sensors here.

Comment on this article below or via Twitter: @IoTNow_OR @jcIoTnow

The post Farnell element14 now stocking sensor solutions from TE Connectivity appeared first on IoT Now – How to run an IoT enabled business.

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The post Farnell element14 now stocking sensor solutions from TE Connectivity appeared on IPv6.net.

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Hazelcast Jet 0.5 – New high-level API increases developer productivity for real-time IoT, big data applications

By Zenobia Hegde

Hazelcast, the open source in-memory data grid (IMDG) with tens of thousands of installed clusters and over 39 million server starts per month, announced the 0.5 release of Hazelcast Jet – an application embeddable, distributed computing platform for fast processing of big data sets.

New functionality in Hazelcast Jet 0.5 includes the Pipeline API for general purpose programming of batch and stream processing, and fault tolerance using snapshotting with the integrated Hazelcast IMDG.

The overall focus of the latest release is to increase developer productivity via an extremely simple and intuitive API. Jet is a single library with no dependencies which is therefore easily embedded and deployed, removing the need for multiple systems. Typical application use cases include online trades, sensor updates in IoT architectures, real-time fraud detection, system log events, in-store e-commerce systems and social media platforms.

The Pipeline API is the primary programming interface of Hazelcast Jet for batch and stream processing, making it more appealing to a wider Java audience. This is a major enhancement to the Hazelcast Jet low-level Core API which uses directed acyclic graphs (DAG) to model data flow – allowing detailed DAG assembly of processing jobs.

The new Pipeline API is easier to use and provides developers with tools to compose batch computations from building blocks such as filters, aggregators and joiners. The Java 8 Stream API is also available in Hazelcast Jet 0.5, a well-known and popular API in the Java community which supports functional-style operations on streams of elements. The key point is that ANY Java developer will find the new Pipeline API familiar and productive.

Greg Luck, CEO of Hazelcast, said: “Since its first release Jet has put the Fast in Fast Big Data with performance up to 15 times faster than Spark and Flink. In this release we have been working on bringing Hazelcast’s legendary programming simplicity to Jet, which we think we have now achieved with the Pipeline API. Programmers, start your Jet engines.”

Also new is fault tolerance using distributed in-memory snapshots – in Hazelcast Jet 0.5 snapshots are distributed across the cluster and held in multiple replicas to provide redundancy. Jet is now able to tolerate multiple faults such as node failure, network partition or job execution failure. Snapshots are periodically created and backed up.

If there is a node failure Jet uses the latest state snapshot and automatically restarts all jobs that contain the failed node as a job participant. No additional infrastructure, such as distributed file system or external snapshot storage, is necessary to ensure Hazelcast Jet is fault tolerant out of the box.

With this release, Jet is fully integrated with Hazelcast IMDG for sources, sinks and enrichment. It also has streaming as well as batch integrations. Jet benefits from being integrated with Hazelcast IMDG, accessing an elastic, in-memory storage capability. Using data already held in IMDG versus external sources gives a 5 times performance enhancement. We expect our millions of IMDG users to start leveraging Jet’s capabilities to process the data they already hold in IMDG.

Hazelcast Jet is an Apache […]

The post Hazelcast Jet 0.5 – New high-level API increases developer productivity for real-time IoT, big data applications appeared first on IoT Now – How to run an IoT enabled business.

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Hazelcast Jet 0.5 – New high-level API increases developer productivity for real-time IoT, big data applications

By News Aggregator

By Zenobia Hegde

Hazelcast, the open source in-memory data grid (IMDG) with tens of thousands of installed clusters and over 39 million server starts per month, announced the 0.5 release of Hazelcast Jet – an application embeddable, distributed computing platform for fast processing of big data sets.

New functionality in Hazelcast Jet 0.5 includes the Pipeline API for general purpose programming of batch and stream processing, and fault tolerance using snapshotting with the integrated Hazelcast IMDG.

The overall focus of the latest release is to increase developer productivity via an extremely simple and intuitive API. Jet is a single library with no dependencies which is therefore easily embedded and deployed, removing the need for multiple systems. Typical application use cases include online trades, sensor updates in IoT architectures, real-time fraud detection, system log events, in-store e-commerce systems and social media platforms.

The Pipeline API is the primary programming interface of Hazelcast Jet for batch and stream processing, making it more appealing to a wider Java audience. This is a major enhancement to the Hazelcast Jet low-level Core API which uses directed acyclic graphs (DAG) to model data flow – allowing detailed DAG assembly of processing jobs.

The new Pipeline API is easier to use and provides developers with tools to compose batch computations from building blocks such as filters, aggregators and joiners. The Java 8 Stream API is also available in Hazelcast Jet 0.5, a well-known and popular API in the Java community which supports functional-style operations on streams of elements. The key point is that ANY Java developer will find the new Pipeline API familiar and productive.

Greg Luck, CEO of Hazelcast, said: “Since its first release Jet has put the Fast in Fast Big Data with performance up to 15 times faster than Spark and Flink. In this release we have been working on bringing Hazelcast’s legendary programming simplicity to Jet, which we think we have now achieved with the Pipeline API. Programmers, start your Jet engines.”

Also new is fault tolerance using distributed in-memory snapshots – in Hazelcast Jet 0.5 snapshots are distributed across the cluster and held in multiple replicas to provide redundancy. Jet is now able to tolerate multiple faults such as node failure, network partition or job execution failure. Snapshots are periodically created and backed up.

If there is a node failure Jet uses the latest state snapshot and automatically restarts all jobs that contain the failed node as a job participant. No additional infrastructure, such as distributed file system or external snapshot storage, is necessary to ensure Hazelcast Jet is fault tolerant out of the box.

With this release, Jet is fully integrated with Hazelcast IMDG for sources, sinks and enrichment. It also has streaming as well as batch integrations. Jet benefits from being integrated with Hazelcast IMDG, accessing an elastic, in-memory storage capability. Using data already held in IMDG versus external sources gives a 5 times performance enhancement. We expect our millions of IMDG users to start leveraging Jet’s capabilities to process the data they already hold in IMDG.

Hazelcast Jet is an Apache […]

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The post Hazelcast Jet 0.5 – New high-level API increases developer productivity for real-time IoT, big data applications appeared on IPv6.net.

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Glassbeam Announces Healthcare Industry’s First Industrial IoT Analytics Blueprint

By IoT – Internet of Things

Glassbeam, Inc., the machine data analytics company recently announced the healthcare industry’s first Clinical Engineering Analytics (CLEAN™) blueprint. This blueprint is targeted towards leading hospital networks and Independent Service Organizations (ISOs) allowing them to leverage machine data analytics for enhanced service management, asset utilization, and effective capital expenditure decisions. The CLEAN™ blueprint is industry’s first IoT […]

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Glassbeam Announces Healthcare Industry’s First Industrial IoT Analytics Blueprint

By News Aggregator

By IoT – Internet of Things

Glassbeam, Inc., the machine data analytics company recently announced the healthcare industry’s first Clinical Engineering Analytics (CLEAN™) blueprint. This blueprint is targeted towards leading hospital networks and Independent Service Organizations (ISOs) allowing them to leverage machine data analytics for enhanced service management, asset utilization, and effective capital expenditure decisions. The CLEAN™ blueprint is industry’s first IoT […]

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The post Glassbeam Announces Healthcare Industry’s First Industrial IoT Analytics Blueprint appeared on IPv6.net.

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Philips showcases new portfolio of integrated digital imaging systems and advanced informatics at RSNA 2017

By IoT – Internet of Things

Royal Philips , a global leader in health technology, recently unveiled intelligent and comprehensive connected radiology solutions that will be showcased at the 2017 Radiological Society of North America Annual Meeting (RSNA), November 26 through December 1 at McCormick Place in Chicago. At the Philips booth (#6735), RSNA attendees will experience a new portfolio of […]

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How to handle the vanishing radio spectrum: Share frequencies

By Patrick Nelson

With the billions of Internet of Things (IoT) devices projected to come on-stream over the next few years, questions are arising as to just where the bandwidth and radio channels are going to come from to make it all work.

The sensors need to send their likely increasingly voluminous data back to networks wirelessly to be processed.

But there’s a finite amount of radio spectrum available, and much of it is already allocated to incumbent primary users, such as public safety agencies. Other spectrum is dedicated to mobile network operators who have licensed chunks of it. Some is leftover in the millimeter frequencies, which is thus far pretty much untested in the real world — it’s going to be used for 5G in the future.

To read this article in full, please click here

Read more here:: www.networkworld.com/category/lan-wan/index.rss

How to handle the vanishing radio spectrum: Share frequencies

By News Aggregator

By Patrick Nelson

With the billions of Internet of Things (IoT) devices projected to come on-stream over the next few years, questions are arising as to just where the bandwidth and radio channels are going to come from to make it all work.

The sensors need to send their likely increasingly voluminous data back to networks wirelessly to be processed.

But there’s a finite amount of radio spectrum available, and much of it is already allocated to incumbent primary users, such as public safety agencies. Other spectrum is dedicated to mobile network operators who have licensed chunks of it. Some is leftover in the millimeter frequencies, which is thus far pretty much untested in the real world — it’s going to be used for 5G in the future.

To read this article in full, please click here

Read more here:: www.networkworld.com/category/lan-wan/index.rss

The post How to handle the vanishing radio spectrum: Share frequencies appeared on IPv6.net.

Read more here:: IPv6 News Aggregator

Xilinx to Showcase Innovations for Industrial IoT Solutions at SPS IPC Drives 2017

By News Aggregator

By IoT – Internet of Things

Xilinx, Inc. the leader in scalable and comprehensive All Programmable Industrial IoT (IIoT) platforms from Edge to Cloud, will showcase the latest solutions for Factory Automation, Smart Grid and Robotics applications at SPS IPC Drives 2017. Highlights include advancements in Time-Sensitive Networking (TSN) for Industrie 4.0, Machine Learning, Cybersecurity, Functional Safety, and Motor Control on […]

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