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Annual IIoT maturity survey – Adoption of IIoT in manufacturing, oil and gas, and transportation

By News Aggregator

By IoT Now Magazine

Awareness of the competitive landscape is vital to any business. Did you know that 86% of organizations already have an Industrial Internet of Things (IIoT) solution in place? Bsquare’s 2017 annual IIoT Adoption Study also found that 96% of your transportation industry peers are happy with their solutions. But there’s more to the story.

Most organizations leave extensive ROI opportunities on the table due to limited IIoT deployments. In fact, fewer than half utilize sophisticated IIoT functionalities – like advanced analytics (48%) and automation (28%) – that increase ROI potential.

How does your organization stack up? Check out the full survey findings in this white paper.

It provides an overview of the current state of IIoT adoption, as well as a framework for advancing your IIoT initiatives and enhancing ROI. Additionally, you’ll gain competitive insights into prevailing industry attitudes towards IIoT, solution deployment progress, motivating factors, business objectives, and technology investment projections.

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The post Annual IIoT maturity survey – Adoption of IIoT in manufacturing, oil and gas, and transportation appeared on IPv6.net.

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Annual IIoT maturity survey – Adoption of IIoT in manufacturing, oil and gas, and transportation

By IoT Now Magazine

Awareness of the competitive landscape is vital to any business. Did you know that 86% of organizations already have an Industrial Internet of Things (IIoT) solution in place? Bsquare’s 2017 annual IIoT Adoption Study also found that 96% of your transportation industry peers are happy with their solutions. But there’s more to the story.

Most organizations leave extensive ROI opportunities on the table due to limited IIoT deployments. In fact, fewer than half utilize sophisticated IIoT functionalities – like advanced analytics (48%) and automation (28%) – that increase ROI potential.

How does your organization stack up? Check out the full survey findings in this white paper.

It provides an overview of the current state of IIoT adoption, as well as a framework for advancing your IIoT initiatives and enhancing ROI. Additionally, you’ll gain competitive insights into prevailing industry attitudes towards IIoT, solution deployment progress, motivating factors, business objectives, and technology investment projections.

The post Annual IIoT maturity survey – Adoption of IIoT in manufacturing, oil and gas, and transportation appeared first on IoT Now – How to run an IoT enabled business.

Read more here:: www.m2mnow.biz/feed/

Annual IIoT maturity survey – Adoption of IIoT in manufacturing, oil and gas, and transportation

By IoT Now Magazine

Awareness of the competitive landscape is vital to any business. Did you know that 86% of organizations already have an Industrial Internet of Things (IIoT) solution in place? Bsquare’s 2017 annual IIoT Adoption Study also found that 96% of your transportation industry peers are happy with their solutions. But there’s more to the story.

Most organizations leave extensive ROI opportunities on the table due to limited IIoT deployments. In fact, fewer than half utilize sophisticated IIoT functionalities – like advanced analytics (48%) and automation (28%) – that increase ROI potential.

How does your organization stack up? Check out the full survey findings in this white paper.

It provides an overview of the current state of IIoT adoption, as well as a framework for advancing your IIoT initiatives and enhancing ROI. Additionally, you’ll gain competitive insights into prevailing industry attitudes towards IIoT, solution deployment progress, motivating factors, business objectives, and technology investment projections.

The post Annual IIoT maturity survey – Adoption of IIoT in manufacturing, oil and gas, and transportation appeared first on IoT Now – How to run an IoT enabled business.

Read more here:: www.m2mnow.biz/feed/

Annual IIoT maturity survey – Adoption of IIoT in manufacturing, oil and gas, and transportation

By News Aggregator

By IoT Now Magazine

Awareness of the competitive landscape is vital to any business. Did you know that 86% of organizations already have an Industrial Internet of Things (IIoT) solution in place? Bsquare’s 2017 annual IIoT Adoption Study also found that 96% of your transportation industry peers are happy with their solutions. But there’s more to the story.

Most organizations leave extensive ROI opportunities on the table due to limited IIoT deployments. In fact, fewer than half utilize sophisticated IIoT functionalities – like advanced analytics (48%) and automation (28%) – that increase ROI potential.

How does your organization stack up? Check out the full survey findings in this white paper.

It provides an overview of the current state of IIoT adoption, as well as a framework for advancing your IIoT initiatives and enhancing ROI. Additionally, you’ll gain competitive insights into prevailing industry attitudes towards IIoT, solution deployment progress, motivating factors, business objectives, and technology investment projections.

The post Annual IIoT maturity survey – Adoption of IIoT in manufacturing, oil and gas, and transportation appeared first on IoT Now – How to run an IoT enabled business.

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The post Annual IIoT maturity survey – Adoption of IIoT in manufacturing, oil and gas, and transportation appeared on IPv6.net.

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Internet Hall of Fame Inductees Gather at GNTC to Discuss New Generation of Internet Infrastructure

Confronted with the rapid development of the Internet, the traditional network is facing severe challenges. Therefore, it is imperative to accelerate the construction of global network infrastructure and build a new generation of Internet infrastructure to adapt to the Internet of Everything and the intelligent society. From November 28 to 30, 2017, “GNTC 2017 – Global Network Technology Conference” organized by BII Group and CFIEC, will see a grand opening in Beijing. “Global Internet Infrastructure Forum”, as the most famous link of the conference, will attract several international Internet Hall of Fame inductees as well as a number of authoritative experts in the field of Internet to discuss Internet infrastructure technology changes and infrastructure development and challenges.

Since human beings achieved data transmission between two computers for the first time in 1969, great changes have taken place in a few decades from military field to scientific research and even civil use, thus ushering in a brilliant chapter of “era of Internet” in history. However, as “Internet+” and industrial Internet deepen, it has become an increasingly clear trend that the Internet fully subverts all walks of life and becomes a common infrastructure. In this context, the existing architecture has exposed more and more problems in scalability, security and controllability and manageability due to its complex design, inadequate openness and low efficiency. As a result, it has constantly been improved in the industry for decades, but it is the fundamental way for future long-term development to upgrade Internet infrastructure in every aspect.

In the “Global Internet Infrastructure Forum” of GNTC Conference, father of the Internet and Internet Hall of Fame inductee Vint Cerf, Father of Korean Internet and Internet Hall of Fame inductee Kilnam Chon, the inventor of DNS Internet Hall of Fame inductee Paul Mockapetris, Internet Hall of Fame inductee Paul Vixie, APNIC’s Director General Paul Wilson and other global Internet authoritative experts will gather together in Beijing. Meanwhile, presidents of organizations and institutions, senior management of Internet companies and global operator representatives will also be invited to attend the conference, focusing on technological change, infrastructure development, root server, new opportunities and challenges and other directions, and exploring that how will Internet infrastructure fully upgrade to adapt to the new world of Internet of Everything in the rapid application of IPv6, SDN and other network technology.

As the largest network technology event in China, there will be more than 2000 elites attending the conference. It will set up two main sessions, one roundtable forum, eight technical summits (SDN, NFV, IPv6, 5G, NB-IoT, Network Security, Cloud and Data Center, Edge Computing) and a number of workshops (P4, the Third Network, CORD, ONAP, etc.). By providing a platform for the parties to communicate and exchange, it is dedicated to promoting win-win cooperation and the process of network reconstruction.

Written by Xudong Zhang, Vice President of BII Group

Read more here:: www.circleid.com/rss/topics/ipv6

Internet Hall of Fame Inductees Gather at GNTC to Discuss New Generation of Internet Infrastructure

By News Aggregator

Confronted with the rapid development of the Internet, the traditional network is facing severe challenges. Therefore, it is imperative to accelerate the construction of global network infrastructure and build a new generation of Internet infrastructure to adapt to the Internet of Everything and the intelligent society. From November 28 to 30, 2017, “GNTC 2017 – Global Network Technology Conference” organized by BII Group and CFIEC, will see a grand opening in Beijing. “Global Internet Infrastructure Forum”, as the most famous link of the conference, will attract several international Internet Hall of Fame inductees as well as a number of authoritative experts in the field of Internet to discuss Internet infrastructure technology changes and infrastructure development and challenges.

Since human beings achieved data transmission between two computers for the first time in 1969, great changes have taken place in a few decades from military field to scientific research and even civil use, thus ushering in a brilliant chapter of “era of Internet” in history. However, as “Internet+” and industrial Internet deepen, it has become an increasingly clear trend that the Internet fully subverts all walks of life and becomes a common infrastructure. In this context, the existing architecture has exposed more and more problems in scalability, security and controllability and manageability due to its complex design, inadequate openness and low efficiency. As a result, it has constantly been improved in the industry for decades, but it is the fundamental way for future long-term development to upgrade Internet infrastructure in every aspect.

In the “Global Internet Infrastructure Forum” of GNTC Conference, father of the Internet and Internet Hall of Fame inductee Vint Cerf, Father of Korean Internet and Internet Hall of Fame inductee Kilnam Chon, the inventor of DNS Internet Hall of Fame inductee Paul Mockapetris, Internet Hall of Fame inductee Paul Vixie, APNIC’s Director General Paul Wilson and other global Internet authoritative experts will gather together in Beijing. Meanwhile, presidents of organizations and institutions, senior management of Internet companies and global operator representatives will also be invited to attend the conference, focusing on technological change, infrastructure development, root server, new opportunities and challenges and other directions, and exploring that how will Internet infrastructure fully upgrade to adapt to the new world of Internet of Everything in the rapid application of IPv6, SDN and other network technology.

As the largest network technology event in China, there will be more than 2000 elites attending the conference. It will set up two main sessions, one roundtable forum, eight technical summits (SDN, NFV, IPv6, 5G, NB-IoT, Network Security, Cloud and Data Center, Edge Computing) and a number of workshops (P4, the Third Network, CORD, ONAP, etc.). By providing a platform for the parties to communicate and exchange, it is dedicated to promoting win-win cooperation and the process of network reconstruction.

Written by Xudong Zhang, Vice President of BII Group

Read more here:: www.circleid.com/rss/topics/ipv6

The post Internet Hall of Fame Inductees Gather at GNTC to Discuss New Generation of Internet Infrastructure appeared on IPv6.net.

Read more here:: IPv6 News Aggregator

Crumbling Infrastructure Gets an AI Assist

By George Leopold

A deep learning application developed by Japan’s Fujitsu Ltd. seeks to assist structural engineers in assessing the state of degradation in aging bridges and other infrastructure. The framework applies sensor data analysis technology that can help gauge internal damage to bridges and fine tune maintenance requirements.

Fujitsu Laboratories said its deep learning platform aggregates vibration data collected by surface-mounted sensors to help gauge structural deterioration to improve maintenance of crumbling infrastructure. The approach could replace or augment visual inspections by probing deeper to determined levels of internal structural damage.

While the state of disrepair among U.S. bridges is well documented, with an estimated 130,000 bridges either structurally deficient of functionally obsolete, Japan has another problem the technology could address: a lack of structural engineers to monitor its sprawling and aging infrastructure. Bridge inspections also are expensive, making them a low priority for cash-strapped municipalities.

Fujitsu said its proprietary deep learning approach leverages time-series data using an analytics method called topical data analysis. Earlier research by the company addressed the problem of accurately classifying volatile time-series data generated by Internet of Things and other devices. Previously, it was difficult to discern patterns in these data.

Fujitsu Laboratories touts its deep learning approach as using advanced mathematical techniques to extract geometric features from time-series data, enabling highly accurate classification of raw data.

Researchers found they could extrapolate data captured by an acceleration sensor at a single location to estimate the level of bridge deterioration “across a wide area of a bridge’s interior….” The approach also would allow early detection of internal stresses so that repairs could be scheduled before deterioration spread.

Source: Fujitsu Labs

The approach was validated using data obtained from verification tests of fatigue degradation of bridges carried out by the Research Association for Infrastructure Monitoring System, which conducts research into technologies used in industrial applications.

Fujitsu combined its deep learning approach with vibration data collected from acceleration tests. “The results showed that the geometric characteristics extracted from the vibration data by this technology would appear as a single cluster when the bridge was intact, but the shape changes when the bridge had developed internal damage,” the company reported.

Researchers also confirmed the degree and rate of deterioration that was calculated by converting the geometric characteristics to numerical values corresponding with the results measured by strain sensors embedded within a bridge deck.

Tokyo-based Fujitsu (TYO: 6702) said Monday (Aug. 28) its deep learning application would be detailed at the Japan Society of Civil Engineers 2017 Annual Meeting to be held at Kyushu University from Sept. 11 to 13. It plans to conduct trials of using vibration data from bridges with the goal of deploying the technology as early as 2018.

Recent items:

Before the Next Disaster Strikes, Get Better Data Science

The Data of Things: How Edge Analytics and IoT Go Hand in Hand

The post Crumbling Infrastructure Gets an AI Assist appeared first on Datanami.

Read more here:: www.datanami.com/feed/

Crumbling Infrastructure Gets an AI Assist

By News Aggregator

By George Leopold

A deep learning application developed by Japan’s Fujitsu Ltd. seeks to assist structural engineers in assessing the state of degradation in aging bridges and other infrastructure. The framework applies sensor data analysis technology that can help gauge internal damage to bridges and fine tune maintenance requirements.

Fujitsu Laboratories said its deep learning platform aggregates vibration data collected by surface-mounted sensors to help gauge structural deterioration to improve maintenance of crumbling infrastructure. The approach could replace or augment visual inspections by probing deeper to determined levels of internal structural damage.

While the state of disrepair among U.S. bridges is well documented, with an estimated 130,000 bridges either structurally deficient of functionally obsolete, Japan has another problem the technology could address: a lack of structural engineers to monitor its sprawling and aging infrastructure. Bridge inspections also are expensive, making them a low priority for cash-strapped municipalities.

Fujitsu said its proprietary deep learning approach leverages time-series data using an analytics method called topical data analysis. Earlier research by the company addressed the problem of accurately classifying volatile time-series data generated by Internet of Things and other devices. Previously, it was difficult to discern patterns in these data.

Fujitsu Laboratories touts its deep learning approach as using advanced mathematical techniques to extract geometric features from time-series data, enabling highly accurate classification of raw data.

Researchers found they could extrapolate data captured by an acceleration sensor at a single location to estimate the level of bridge deterioration “across a wide area of a bridge’s interior….” The approach also would allow early detection of internal stresses so that repairs could be scheduled before deterioration spread.

Source: Fujitsu Labs

The approach was validated using data obtained from verification tests of fatigue degradation of bridges carried out by the Research Association for Infrastructure Monitoring System, which conducts research into technologies used in industrial applications.

Fujitsu combined its deep learning approach with vibration data collected from acceleration tests. “The results showed that the geometric characteristics extracted from the vibration data by this technology would appear as a single cluster when the bridge was intact, but the shape changes when the bridge had developed internal damage,” the company reported.

Researchers also confirmed the degree and rate of deterioration that was calculated by converting the geometric characteristics to numerical values corresponding with the results measured by strain sensors embedded within a bridge deck.

Tokyo-based Fujitsu (TYO: 6702) said Monday (Aug. 28) its deep learning application would be detailed at the Japan Society of Civil Engineers 2017 Annual Meeting to be held at Kyushu University from Sept. 11 to 13. It plans to conduct trials of using vibration data from bridges with the goal of deploying the technology as early as 2018.

Recent items:

Before the Next Disaster Strikes, Get Better Data Science

The Data of Things: How Edge Analytics and IoT Go Hand in Hand

The post Crumbling Infrastructure Gets an AI Assist appeared first on Datanami.

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The post Crumbling Infrastructure Gets an AI Assist appeared on IPv6.net.

Read more here:: IPv6 News Aggregator

Living in the Internet of Things

By IoT Now Magazine

Event date: March 28 – 29, 2018 London, UK The IET are joining forces with the PETRAS research hub and IoTUK to hold the Living in the Internet of Things – a two day event incorporating call for papers conference, exhibition, workshops, seminars and demonstrations focussing on the cybersecurity of the IoT. Call for abstracts […]

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Living in the Internet of Things

By News Aggregator

By IoT Now Magazine

Event date: March 28 – 29, 2018 London, UK The IET are joining forces with the PETRAS research hub and IoTUK to hold the Living in the Internet of Things – a two day event incorporating call for papers conference, exhibition, workshops, seminars and demonstrations focussing on the cybersecurity of the IoT. Call for abstracts […]

The post Living in the Internet of Things appeared first on IoT Now – How to run an IoT enabled business.

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The post Living in the Internet of Things appeared on IPv6.net.

Read more here:: IPv6 News Aggregator