dns-based authentication of named entities

Antenova to show two new high performing 4G/LTE diversity antennas for small PCBs

By Zenobia Hegde

Antenova Ltd, manufacturer of antennas and RF antenna modules, is showing a brand new pair of high performing 4G/LTE antennas which are suitable for PCBs as small as 60mm, at the consumer electronics show CES. The two antennas can also be used in 3G and MIMO applications.

The two antennas are similar – the difference being that Inversa is built for the USA market while Integra is for European and Asian markets.

Both antennas are available in left and right versions to provide more options for placement on the PCB, and can be used singly or in pairs for MIMO. Both use beam steering to ensure good isolation and cross correlation, and achieve high performance.

Inversa, part numbers SR4L034-L /SR4L034-R, measures 28.0 x 8.0 x 3.3mm and covers the USA bands 698-798 MHz, 824-960 MHz, 1710-2170 MHz, 2300-2400 MHz and 2500-2690MHz.

Integra, part numbers SR4L049-L/SR4L049-R measures 23.0 x 8.0 x 3.3mm and covers the bands 791-960 MHz, 1710-2170 MHz, 2300-2400 MHz and 2500-2600 MHz, used in Europe and Asia.

Antenova has designed these antennas for use in small trackers, OBDs and other similar devices where space is limited. For more details, antenna samples and evaluation boards, please click here.

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Fueled by Kafka, Stream Processing Poised for Growth

By Alex Woodie

Once a niche technique used only by the largest organizations, stream processing is emerging as legitimate technique for dealing with massive amounts of data generated every day. While it’s not needed for every data challenges, organizations are increasingly finding ways to incorporate stream processing into their plans — particularly with the rise of Kafka.

Stream processing is just that – processing data as soon as it arrives, as opposed to processing it after it lands. The amount of processing that is applied to the data as it flows can vary greatly. On the one hand, users may do very little besides a simple transformation, such as converting temperatures from Celsius into Fahrenheit or combining it with another stream, while at the upper end, stream processors may apply real-time analytics or machine learning algorithms.

Almost any type of data can be used in stream processing. Sources can include a database event from RDBMs or NoSQL, sensor data from the IoT, comments made on social media, or a credit card swipe. The data’s destination similarly can be diverse – it could be headed to a traditional file system, a relational or NoSQL database, a Hadoop data lake, or a cloud-based object store.

What happens in between that initial data creation event and when the data written to some type of permanent repository is collectively referred to as stream processing. Initially, proprietary products developed by the likes of TIBCO, Software AG, IBM, and others were developed to handle streaming data. But more recently, distributed, open source frameworks have emerged to deal with the massive surge in data generation.

Apache Kafka — a distributed publish and subscribe message queue that’s open source and relatively easy-to-use –by far is the most popular of these open source frameworks, and Kafka is seen today by industry insiders as helping to fuel the ongoing surge in demand for tools to work with stream data processing.

Steve Wilkes, the CTO and founder of Striim, says Kafka’s popularity is helping to push stream processing into the center stage. “Kafka is driving a lot of our market,” he says. “A good majority of our customers are utilizing Kafka in one way, shape, or form.”

The underlying trend driving investment in stream processing is that customers need access to the latest data, Wilkes says. “It’s the recognition that, no matter how you’re doing analytics — whether you’re doing them in streaming fashion or whether you’re doing them after the fact through some sort of Hadoop jobs or big data analytics you need that up-to-date data,” he tells Datanami.

Striim this week unveiled a new release of its stream data processing solution, Striim version 3.8, that features better support for Kafka. This includes the capability to automatically scale Striim to more efficiently read from and write to Kafka as users scale up their real-time streaming architecture.

Many Kafka users are using the core Kafka product, along with the open source Kafka Connect software, to rapidly move data from its source to another destination, such as Hadoop or a data lake hosted on the cloud. Fewer shops are using the Kafka Streams API to write application logic on top of the message bus, a niche that third-party vendors are moving to fill.

According to a recent report from Confluent, the company behind open source Kafka and developer of the Confluent Platform, 81% of Kafka customers are using it to build data pipelines. Other common use case include real-time monitoring, ETL, microservices, and building Internet of Things (IoT) products.

Keeping the data lake updated with fresh data is an increasingly difficult task – and one that stream processing is being asked to fill as a sort of modern ETL role. According to Syncsort‘s recent 2018 Big Data Trends survey, 75% of respondents say that keeping their data lake updated with changing data sources is either “somewhat” or “very difficult.”

Another vendor that’s seeing the Kafka impact is Streamsets, a software vendor that bills itself as the “air traffic control” for data in motion. Streamsets’ initial product was a data collector that automated some of the nitty gritty work involved in capturing and moving data, often atop the Kafka message queue. The vendor recently debuted a low-footprint data collector that works in CPU- and network-constrained environments, and cloud-based console for managing the entire flow of customer’s data.

Streamsets Vice President of Marketing Rick Bilodeau says Kafka is driving a lot of the company’s business. “We do a lot of work with customers for Kafka, for real-time event streaming,” he tells Datanami. “We see fairly broad Kafka adoption as a message queue, where people are using [Streamsets software] primarily to broker data in and out of the Kafka bus.”

Some of Streamsets customers have a million data pipelines running at the same time, which can lead to serious management challenges. “Companies will say, ‘We built a bunch of pipelines with Kafka, but now have a scalability problem. We can’t keep throwing people at it. It’s just taking us too long to put these things together,’” Bilodeau says. “So they use data collector to accelerate that process.”

Today, Streamsets sees lots of customers implementing real-time stream processing for Customer 360, cybersecurity, fraud detection, and industrial IoT use cases. Stream processing is still relatively new, but it’s beginning to grow in maturity rapidly, Bilodeau says.

“It’s not the first inning, for sure. It’s maybe the third inning,” he says. “On the Gartner Hype Cycle, it’s approaching early maturity. Every company seems to have something they want to do to with streaming data.”

Striim’s Wilkes agrees. Fewer than half of enterprises are working with streaming data pipelines, he estimates, but it’s growing solidly. “Streaming data wasn’t even really being talked about a few years ago,” he says. “But it’s really starting to get up to speed. There is a steady progression.”

We’re still mostly in the pipeline-building phase, where identifying data sources and creating data integrations dominates real-time discussions, Wilkes says. That period will give way to more advanced use cases and people become comfortable with the technology.

“We’re seeing that a lot of customers are still at the point of obtaining streaming sources. They understand the need to get a real-time data infrastructure,” he says. “The integration piece always comes first. The next stage after you have access to the streaming data is starting to think about the analytics.”

Related Items:

Spark Streaming: What Is It and Who’s Using It?

How Kafka Redefined Data Processing for the Streaming Age

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Spirent adds BeiDou Phase-3 signals to its GNSS RF constellation simulators

By Zenobia Hegde

Spirent Communications plc, the provider in BeiDou, GPS and other global navigation satellite systems (GNSS) testing solutions, announced that BeiDou Phase 3 signals have been added to its GNSS RF constellation simulators.The addition of these new signals to the GSS7000 and GSS9000 simulators follows the launch of the first two Beidou-3 satellites in November 2017.

Phase 3 of the Chinese BeiDou system will extend its coverage from Asia to the whole world, and will provide receiver developers and integrators with additional GNSS signals to make positioning, navigation and timing systems more accurate, and help to support new applications, such as autonomous vehicles.

The new signals will use the same carrier frequencies as the GPS and Galileo systems, so chipset manufacturers and device developers will need to test integrated designs to avoid problems caused by confusing data from different GNSS.

“By offering the BeiDou Phase 3 signals, our customers can test their designs well before the system is fully operational, which is expected in 2020,” said Stuart Smith, lead product manager. “With signals already starting to appear, it is important for developers to have test tools that can ensure devices will successfully make use of all GNSS signals.”

BeiDou Phase 3 signals are available immediately on the GSS7000 and GSS9000 simulators, and existing users can obtain the software upgrade by contacting Spirent.

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Machfu Announces Release of MACH-3 Industrial Internet of Things Platform and Gateway

By IoT – Internet of Things

Machfu, an Industrial Internet of Things (IIoT) technology company, announced today the release of its MACH-3 IIoT Gateway, a device allowing companies in energy, water, oil and gas as well as other industrial segments to seamlessly connect legacy infrastructure to cloud based IoT and existing SCADA systems. The product was designed to both simplify the […]

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Machfu announces release of MACH-3 IIoT platform and gateway

By Zenobia Hegde

Machfu, an Industrial Internet of Things (IIoT) technology company, announced the release of its MACH-3 IIoT Gateway, a device allowing companies in energy, water, oil and gas as well as other industrial segments to seamlessly connect legacy infrastructure to cloud based IoT and existing SCADA systems.

The product was designed to both simplify the connection and management of devices as well as provide a secure and easily customisable application framework to process and manage data at the network edge. The versatile functionalities of the MACH-3 IIoT Gateway will be demonstrated at the 2018 DistribuTECH show, January 22-25 in San Antonio, Texas.

“The MACH-3 IIoT Gateway allows companies to securely gather actionable data from legacy infrastructure in an elegant and straightforward manner, enabling them to make informed, strategic business decisions in ways that would previously require enormous financial and time investments,” said Prakash Chakravarthi, CEO, Machfu.

Deployment of this platform enables enterprises to easily access and analyse data from diverse sources (i.e. sensors, controllers, smart grids, etc.) via secure wireless and wired connectivity as well as create and rapidly integrate “edge” and “emerging web-based” industrial IoT applications to existing infrastructure.

The application framework is “sandboxed” providing enterprises much needed flexibility in terms of adding/deleting APPs and drivers over the life of their system—much like a smartphone—based on their specific needs and/or requirements. Defense-in-depth security has also been built into the platform and extends from the physical to application layers.

“The resulting IIoT solutions decrease time to action and connectivity costs, while, simultaneously, minimising disruption and risk to existing automation systems,” added Chakravarthi.

There are many practical applications and benefits for the MACH-3 IIoT Gateway in the energy industry. “Using Machfu’s industrial hardened gateway, utilities can create and rapidly integrate next generation distributed control systems,” said John Geiger, V.P. business development, Machfu.

“For example, the Gateway provides the ability for any sensor to be transported as DNP3 objects to head-end SCADA applications over both private and public networks. It also provides a secure cellular overlay to existing private networks. The flexibility and versatility of the platform is its greatest asset.”

Machfu will be demonstrating the product at DistribuTECH 2018 held January 22-25 in San Antonio, TX (Booth 1862).

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Bosch technology enables redundancy needed for automated driving

By Zenobia Hegde

Without redundancy, there is no automated driving. The promise of automated driving requires a mix of technological, societal and regulatory development and co-operation. The technology continues to advance thanks to sensors and software, but also thanks to redundancy. In order to realise fully-automated driving on the path to the accident-free future, redundancy in safety-critical systems such as braking and steering is an absolute.

Bosch is actively developing and bringing to market redundant braking solutions to support all levels of automation as defined by SAE. At the 2018 North American International Auto Show, the leading global supplier of technology and services will showcase its braking solutions, including redundant braking for automated driving.

“The importance of redundancy for the rollout of automated driving goes beyond just the technological function as it ultimately will build confidence in consumers as they understand these systems are designed with deep levels of complexity to handle a variety of situations,” said Mike Mansuetti, president of Bosch in North America.

SAE level 3 (conditional automation) vehicles will begin to hit the market as soon as 2018. For these vehicles, a human driver is still necessary, but safety-critical functions may be completely shifted to the vehicle under certain traffic or environmental conditions.

Drivers must still remain present, but will need a certain amount of time to realise that an intervention is necessary. Redundant functions ensure that all safety-critical functions continue during this time span, even in the rare case of a failure in the system. For SAE levels 4 and 5, the redundancy becomes even more critical as the time span increases without the driver in the loop.

Bosch’s solution for a fail-degraded brake system (steering system and EE architecture) is the combination of its electromechanical brake booster iBooster and ESC (Electronic Stability Control), also known as ESP® (electronic stability program), systems. Both are independently capable of performing braking functions for the vehicle in the rare case of a single failure.

The technological breakthrough of redundant braking was achieved by modifying one system element; the vacuum brake booster is replaced by an intelligent electro-mechanical booster, the iBooster. A conventional brake system today comprises two actuators: a vacuum brake booster and ESC unit.

The redundant brake system is comprised of two actuators that are each able to decelerate the vehicle independent of the driver applying the brake pedal. Even if a failure occurs in the brake system, either actuator (iBooster or ESC) is able to avoid wheel lock-up by modulating the brake pressure, which maintains the ability to steer during deceleration.

Bosch’s redundant brake system for automated driving was named a finalist for the 2018 Automotive News PACE (Premier Automotive Suppliers’ Contributions to Excellence) Award, which is acknowledged globally as a prestigious industry benchmark for automotive supplier innovation. Bosch was also honored with an eMove360° Award in the category of Automated Driving for the redundant braking technology.

Redundant steering is also a key technology for automated driving and Bosch is leading in this area. At NAIAS 2017, Bosch introduced its Electric Power Steering (EPS) system with fail-operational function. The system, which enables […]

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Haier Unveils Complete Smart Home Solutions at CES

By IoT – Internet of Things

The 51st CES, the world’s most influential event for the technology industry, was held in Las Vegas from January 9th to 12th, Pacific Time. Intelligence and technology became the mainstream at this year’s session, where more than 3,900 exhibitors from around the world showcased their latest technological achievements. Chinese brand Haier displayed the world’s first […]

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Senet and Sagemcom partner to demonstrate LoRaWAN geolocation services at CES 2018

By Zenobia Hegde

Senet, a provider of cloud-based software, global connectivity service platforms and network build-out for the Internet of Things (IoT), and Sagemcom, a French group providing high added-value smart terminals market, have partnered to demonstrate LoRaWAN™ geolocation services at CES 2018.

With research indicating that over 50% of the IoT market is best suited to Low Power Wide Area Network (LPWAN) connectivity and a third of the world’s 15 billion connected devices forecasted to be dependent on geodata by 2020, LoRa™ geolocation is well positioned to offer power efficient and cost-effective location capability for a wide range of applications that do not require the precision of GPS.

Sagemcom and Senet are demonstrating LoRaWAN tracking capabilities through the integration of Sagemcom’s geolocation solver software with Senet’s LoRaWAN network. Sagemcom Siconiaä multi-sensor devices have been placed on mobile and stationary assets throughout the Las Vegas area and are reporting geolocation and environmental data over the Senet LoRaWAN network.

Geolocation information is being combined with other readings and visualised in demo applications that illustrate how users across industries can leverage IoT data for asset management, inventory, security and maintenance. Sagemcom is conducting demonstrations in the Venetian, Tech West, Level 3, meeting rooms 3301A/3201B.

Eric Rieul

“LoRaWAN geolocation brings a strong disruption in the asset management and logistic markets and is a viable commercial technology for a wide variety of IoT applications where GPS is cost and/or battery life prohibitive,” said Eric Rieul, CEO of Sagemcom Energy & Telecom SAS. “Through our tight collaboration with Senet, we are able to rapidly deliver these new features and capabilities to market and successfully drive new business opportunities where the promise of IoT had previously been slowed by cost and scalability challenges.”

“Geolocation is an exciting enhancement to our LoRaWAN connectivity services and opens up new use cases that are expected to drive substantial revenue streams for LoRaWAN network operators and solution providers,” said Dave Kjendal, CTO of Senet. “We are pleased to be partnered with Sagemcom to deliver such high-performance and highly differentiated solutions to the market.”

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Toyota to Introduce Amazon Alexa in its Vehicles

By IoT – Internet of Things

Toyota announced at CES 2018 it will introduce Amazon Alexa, Amazon’s intelligent cloud based voice service, within select Toyota and Lexus vehicles with Toyota Entune 3.0 App Suite and Lexus Enform App Suite 2.0 in 2018. Additional models will be available in 2019. This feature will allow Toyota and Lexus customers in the United States […]

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Qorvo IoT Solution Powers Senior Home Care

By IoT – Internet of Things

Qorvo® is helping seniors live more independently in their homes with the help of a new eHealth system powered by the company’s chipsets for the Internet of Things (IoT). Health insurer CZ will provide the system to 3,000 elderly customers in the Netherlands, marking the first deployment of a senior smart home solution by a […]

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