Searching for "IoT"

industry 4.0 and IOT

The Internet of Things will power the Fourth Industrial Revolution. Here’s how

https://medium.com/world-economic-forum/the-internet-of-things-will-power-the-fourth-industrial-revolution-heres-how-39932f03df1

By 2020 more than 50 billion things, ranging from cranes to coffee machines, will be connected to the internet. That means a lot of data will be created — too much data, in fact, to be manageable or to be kept forever affordably.

One by-product of more devices creating more data is that they are speaking lots of different programming languages. Machines are still using languages from the 1970s and 80s as well as the new languages of today. In short, applications need to have data translated for them — by an IoT babelfish, if you will — before they can make sense of the information.

Then there are analytics and data storage.

security becomes even more important as there is little human interaction in the flow of data from device to datacentre — so called machine-to-machine communication.

 

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more on IOT in this IMS blog
http://blog.stcloudstate.edu/ims?s=iot

more on industry 4.0 in this IMS blog
http://blog.stcloudstate.edu/ims?s=industrial+revolution

IoT

Survey: IoT Overtakes Mobile as Security Threat

By Rhea Kelly 06/05/17

https://campustechnology.com/articles/2017/06/05/survey-iot-overtakes-mobile-as-security-threat.aspx

a report from ISACA, a nonprofit association focused on knowledge and practices for information systems. The 2017 State of Cyber Security Study surveyed IT security leaders around the globe on security issues, the emerging threat landscape, workforce challenges and more.

  • 53 percent of survey respondents reported a year-over-year increase in cyber attacks;
  • 62 percent experienced ransomware in 2016, but only 53 percent have a formal process in place to address a ransomware attack;
  • 78 percent reported malicious attacks aimed at impairing an organization’s operations or user data;
  • Only 31 percent said they routinely test their security controls, while 13 percent never test them; and
  • 16 percent do not have an incident response plan.
  • 65 percent of organizations now employ a chief information security officers, up from 50 percent in 2016, yet still struggle to fill open cyber security positions;
  • 48 percent of respondents don’t feel comfortable with their staff’s ability to address complex cyber security issues;
  • More than half say cyber security professionals “lack an ability to understand the business”;
  • One in four organizations allot less than $1,000 per cyber security team member for training; and
  • About half of the organizations surveyed will see an increase in their cyber security budget, down from 61 percent in 2016.

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IoT to Represent More Than Half of Connected Device Landscape by 2021

By Sri Ravipati 06/09/17

https://campustechnology.com/articles/2017/06/09/iot-to-represent-more-than-half-of-connected-device-landscape-by-2021.aspx

20121 prediction for data in North America

analysis comes from Cisco’s recent Visual Networking Index for the 2016-2021 forecast period.

  • IP video traffic will increase from 73 percent of all internet consumer traffic in 2016 to 82 percent in 2021 (with live streaming accounting for 13 percent);
  • Virtual and augmented reality traffic is expected to increase 20-fold during the forecast period at a compound annual growth rate of 82 percent; and
  • Internet video surveillance traffic is anticipated to grow during the forecast period, comprising 3.4 percent of all internet traffic.

To learn more, view the full report.

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5 ways to use the Internet of Things in higher ed

By Danielle R. June 14th, 2017
 1. Labeling and Finding
 campus’ buildings were able to transmit interactive map data to a student finding their way around for the first time
2. Booking and Availability
3. Preparation
4. Intervention
As FitBit and other personal wearables become better at tracking various health markers, these markers can be put to use tracking individual patterns in the student body.
 The University of Southern California is currently researching the impact that analyzing IoT-gathered data can have on student performance, but the IoT can be used to prevent more than just academic difficulties.
the privacy concerns such use might raise; as universities implement systems that integrate wearables, they will encounter this hurdle and have to implement policies to address it.
5. Research
Laboratories are often required to be completely controlled spaces with considerations made for climate, light, and sometimes even biometric data inside the lab.

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http://blog.stcloudstate.edu/ims?s=internet+of+things
http://blog.stcloudstate.edu/ims?s=iot 

VR, AR and IoT beyond Second Life

VR, AR, and the Internet of Things: Life Beyond Second Life

https://campustechnology.com/Articles/2016/12/06/Life-Beyond-Second-Life-VR-AR-IoT.aspx

But it gets even more interesting when virtual and augmented reality meet the Internet of Things

when Second Life began, there was a lot of interest, but the toolset was limited — just because of the timeframe, not that the toolset wasn’t a good one for that period. But, things matured. I think it was, in particular, the ability to work in HD that improved things a lot. Then came the ability to bring in datasets — creating dashboards and ways for people to access other data that they could bring into the virtual reality experiment. I think those two things were real forces for change.

A dashboard could pop up, and you could select among several tools, and you could get a feed from somewhere on the Internet — maybe a video or a presentation. And you can use these things as you move through this hyper reality: The datasets you select can be manipulated and be part of the entire experience.

So, the hyper reality experience became deeper, richer with tools and data via the IoT; and with HD it became more real.

We can’t deny the fact that curriculum and the way we teach is becoming unbundled. Some things are going to happen online and in the virtual space, and other things will happen in the classroom. And the expense of education is going to drive how we operate. Virtual reality tools, augmented reality tools, and visualization tools can offer experiences that can be mass-produced and sent out to lots of students, machine to machine, at a lower cost. Virtual field trips and other kinds of virtual learning experiences will become much more commonplace in the next 5 years.

 

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more on VR in this IMS blog
http://blog.stcloudstate.edu/ims?s=VR

IoT hack

My note:
I listened to the report in my car yesterday. It is another sober reminder for being proactive rather then reactive (or punitive). We must work toward digital literacy and go beyond that comfortably numb stage of information literacy.

An Experiment Shows How Quickly The Internet Of Things Can Be Hacked

http://www.npr.org/sections/alltechconsidered/2016/11/01/500253637/an-experiment-shows-how-quickly-the-internet-of-things-can-be-hacked

We have basic security in place in modern devices that screen out the most obvious attacks. Really getting phished, if you will, is more of a problem where you are tricked in surrendering your password or username to a common service. If you plug in your webcam into your router or to your Wi-Fi, you’re relatively safe.

I think the biggest security concern for folks at home would be if their router actually is old, it might have an easily guessed password that someone could gain control. Most modern devices don’t have that problem, but that certainly is a concern for older devices.


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more on cybersecurity in this blog:
http://blog.stcloudstate.edu/ims?s=cybersecurity

IoT for Product Managers

Internet of Things: A Primer for Product Managers

https://medium.com/@delizalde/internet-of-things-a-primer-for-product-managers-5b6bef0a8b9b#.aitrbiy0h

The first step to becoming an IoT Product Manager is to understand the 5 layers of the IoT technology stack.

5 layers of IoT

1. Devices

Devices constitute the “things” in the Internet of Things. They act as the interface between the real and digital worlds.

2. Embedded software

Embedded software is the part that turns a device into a “smart device”. This part of the IoT technology stack enables the concept of “software-defined hardware”, meaning that a particular hardware device can serve multiple applications depending on the embedded software it is running.

Embedded Operating System

The complexity of your IoT solution will determine the type of embedded Operating System (OS) you need. Some of the key considerations include whether your application needs a real-time OS, the type of I/O support you need, and whether you need support for the full TCP/IP stack.

Common examples of embedded OS include Linux, Brillo (scaled-down Android), Windows Embedded, and VxWorks, to name a few.

Embedded Applications

This is the application(s) that run on top of the embedded OS and provide the functionality that’s specific to your IoT solution.

3. Communications

Communications refers to all the different ways your device will exchange information with the rest of the world. This includes both physical networks and the protocols you will use.

4. Cloud Platform

The cloud platform is the backbone of your IoT solution. If you are familiar with managing SaaS offerings, then you are well aware of everything that is entailed here. Your infrastructure will serve as the platform for these key areas:

Data Collection and Management

Your smart devices will stream information to the cloud. As you define the requirements of your solution, you need to have a good idea of the type and amount of data you’ll be collecting on a daily, monthly, and yearly basis.

Analytics

Analytics are one of they key components of any IoT solution. By analytics, I’m referring to the ability to crunch data, find patterns, perform forecasts, integrate machine learning, etc. It is the ability to find insights from your data and not the data alone that makes your solution valuable.

Cloud APIs

The Internet of Things is all about connecting devices and sharing data. This is usually done by exposing APIs at either the Cloud level or the device level. Cloud APIs allow your customers and partners to either interact with your devices or to exchange data. Remember that opening an API is not a technical decision, it’s a business decision.

Related post: The Business of APIs: What Product Managers Need to Plan For

5. Applications

This is the part of the stack that is most easily understood by Product teams and Executives. Your end-user applications are the part of the system that your customer will see and interact with. These applications will most likely be Web-based, and depending on your user needs, you might need separate apps for desktop, mobile, and even wearables.

The Bottom Line

As the Internet of Things continues to grow, the world will need an army of IoT-savvy Product Managers. And those Product Managers will need to understand each layer of the stack, and how they all fit together into a complete IoT solution.

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more on Internet of Things in this blog:

http://blog.stcloudstate.edu/ims?s=internet+of+things

NISO Webinar IoT

Wednesday, October 19, 2016
1:00 p.m. – 2:30 p.m. (Eastern Time)

About the Webinar

As the cost of sensors and the connectivity necessary to support those sensors has decreased, this has given rise to a network of interconnected devices.  This network is often described as the Internet of Things and it is providing a variety of information management challenges.  For the library and publishing communities, the internet of things presents opportunities and challenges around data gathering, organization and processing of the tremendous amounts of data which the internet of things is generating.  How will these data be incorporated into traditional publication, archiving and resource management systems?  Additionally, how will the internet of things impact resource management within our community?   In what ways will interconnected resources provide a better user experience for patrons and readers?  This session will introduce concepts and potential implications of the internet of things on the information management community.  It will also explore applications related to managing resources in a library environment that are being developed and implemented.

Education in the Internet of Things
Bryan Alexander, Consultant;

How will the Internet of Things shape education? We can explore this question by assessing current developments, looking for future trends in the first initial projects. In this talk I point to new concepts for classroom and campus spaces, examining attendant rises in data gathering and analysis. We address student life possibilities and curricular and professional niches. We conclude with notes on campus strategy, including privacy, network support, and futures-facing organizations.

What Does The Internet of Things Mean to a Museum?
Robert Weisberg, Senior Project Manager, Publications and Editorial Department; Metropolitan Museum of Art;

What does the Internet of Things mean to a museum? Museums have slowly been digitizing their collections for years, and have been replacing index cards with large (and costly, and labor-intensive) CMS’s long before that, but several factors have worked against adopting smart and scalable practices which could unleash data for the benefit of the institution, its collection, and its audiences. Challenges go beyond non-profit budgets in a very for-profit world and into the siloed behaviors learned from academia, practices borne of the uniqueness of museum collections, and the multi-faceted nature of modern museums which include not only curator, but conservators, educators, librarians, publishers, and increasing numbers of digital specialists. What have museums already done, what are they doing, and what are they preparing for, as big data becomes bigger and ever more-networked?
The Role of the Research Library in Unpacking The Internet of Things
Lauren di Monte, NCSU Libraries Fellow, Cyma Rubin Fellow, North Carolina State University

The Internet of Things (IoT) is a deceptively simple umbrella term for a range of socio-technical tools and processes that are shaping our social and economic worlds. Indeed, IoT represents a new infrastructural layer that has the power to impact decision-making processes, resources distribution plans, information access, and much more. Understanding what IoT is, how “things” get networked, as well as how IoT devices and tools are constructed and deployed, are important and emerging facets of information literacy. Research libraries are uniquely positioned to help students, researchers, and other information professionals unpack IoT and understand its place within our knowledge infrastructures and digital cultures. By developing and modeling the use of IoT devices for space and program assessment, by teaching patrons how to work with IoT hardware and software, and by developing methods and infrastructures to collect IoT devices and data, we can help our patrons unlock the potential of IoT and harness the power of networked knowledge.

Lauren Di Monte is a Libraries Fellow at NC State. In this role she develops programs that facilitate critical and creative engagements with technologies and develops projects to bring physical and traditional computing into scholarship across the disciplines. Her current research explores the histories and futures of STEM knowledge practices.

What does the internet of things mean for education?

Bryan Alexander:

I’m not sure if the IoT will hit academic with the wave force of the Web in the 1990s, or become a minor tangent.  What do schools have to do with Twittering refrigerators?

Here are a few possible intersections.

  1. Changing up the campus technology space.  IT departments will face supporting more technology strata in a more complex ecosystem.  Help desks and CIOs alike will have to consider supporting sensors, embedded chips, and new devices.  Standards, storage, privacy, and other policy issues will ramify.
  2. Mutating the campus.  We’ve already adjusted campus spaces by adding wireless coverage, enabling users and visitors to connect from nearly everywhere.  What happens when benches are chipped, skateboards sport sensors, books carry RFID, and all sorts of new, mobile devices dot the quad?  One British school offers an early example.
  3. New forms of teaching and learning.  Some of these take preexisting forms and amplify them, like tagging animals in the wild or collecting data about urban centers.  The IoT lets us gather more information more easily and perform more work upon it.  Then we could also see really new ways of learning, like having students explore an environment (built or natural) by using embedded sensors, QR codes, and live datastreams from items and locations.  Instructors can build treasure hunts through campuses, nature preserves, museums, or cities.  Or even more creative enterprises.
  4. New forms of research.  As with #3, but at a higher level.  Researchers can gather and process data using networked swarms of devices.  Plus academics studying and developing the IoT in computer science and other disciplines.
  5. An environmental transformation.  People will increasingly come to campus with experiences of a truly interactive, data-rich world.  They will expect a growing proportion of objects to be at least addressable, if not communicative.  This population will become students, instructors, and support staff.  They will have a different sense of the boundaries between physical and digital than we now have in 2014. Will this transformed community alter a school’s educational mission or operations?

How the internet could evolve to 2026: responding to Pew Posted on

alternative leaderboards

Gamification: Alternative Leaderboards

https://elearningindustry.com/gamification-alternative-leaderboards
Wanting to win’ versus “wanting to avoid losing” is a subtle yet crucial distinction; Murayama and Elliot’s (2012) set of meta-analyses found the effects of competition depend on this distinction in the minds of players. When someone wants to perform better than others, they tend to benefit from competition. But when they want to avoid performing worse than others, competing tends to reduce their performance.
Senko et al’s (2017) meta-analysis found that “wanting to win” improves the performance of participants only when it’s accompanied by strategies that support feelings of mastery. So “wanting to win” alone is not enough to inoculate players from the downsides of competitive social environments.

There are 2 principles of design to support the outcome:

  1. Workplace performance is more complex than a single number on a leaderboard.
    Let’s show the major competencies that drive the performance, instead of one single number.
  2. Don’t just compare yourself to others. Compare your performance against your own history!
    Let’s show the trajectory for driving competencies!

Imagine a leaderboard more like a performance dashboard where your overall performance is broken down your top competencies with your historical data points. You can see the trajectory of where you’re heading. Then, you can show the company average and top performers’ numbers on each competency. You can identify your strength and opportunities. Then, you can apply AI to give you guidance on how to change your trajectory based on top performers’ data points.

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More on leaderboards in this IMS blog
http://blog.stcloudstate.edu/ims?s=leaderboards

more on gamification in this IMS blog
http://blog.stcloudstate.edu/ims?s=gamification

Collaborative Instructional Technology Support Model

Online Course | Designing a Collaborative Instructional Technology Support Model

Part 1: March 7, 2018 | 1:00–2:30 p.m. ET
Part 2: March 14, 2018 | 1:00–2:30 p.m. ET
Part 3: March 21, 2018 | 1:00–2:30 p.m. ET

Faculty need a variety of instructional technology support—instructional design, content development, technology, training, and assessment—to name a few. They don’t want to go to one place for help, find out they’re in the wrong place, and be sent somewhere else—digitally or physically. Staff don’t want to provide help in silos or duplicate what other units are doing.

So, how can academic service providers collaborate to offer the right instructional technology support services, in the right place, at the right time, in the right way? In this course, instructional technologists, instructional designers, librarians, and instructional technology staff will learn to use a tool called the Service Center Canvas that does just that.

Learning Objectives:

During this course, participants will:

  • Explore the factors that influence how instructional technology support services are offered in higher education
  • Answer critical questions about how your instructional technology support services should be delivered relative to broader trends and institutional goals
  • Experiment with ways to prototype new services and/or new ways of delivering them
  • Identify potential implementation obstacles and ways to address them

NOTE: Participants will be asked to complete assignments in between the course segments that support the learning objectives stated below and will receive feedback and constructive critique from course facilitators on how to improve and shape their work.

Course Facilitators

Elliot FelixElliot Felix, Founder and CEO, brightspot strategy

Felix founded and leads brightspot, a strategy consultancy that reimagines places, rethinks services, and redesigns organizations on university campuses so that people are better connected to a purpose, information, and each other. Felix is accomplished strategist, facilitator, and sense-maker who has helped transform over 70 colleges and universities.


 

Adam GriffAdam Griff, Director, brightspot strategy

Adam Griff is a director at brightspot. He helps universities rethink their space, reinvent their service offerings, and redesign their organization to improve the experiences of their faculty, students, and staff, connecting people and processes to create simple and intuitive answers to complex questions. He has led projects with a wide range of higher education institutions including University of Wisconsin–Madison, University of North Carolina at Chapel Hill, and University of California, Berkeley.

social media election fake news

Election Strife, Protest And Noise: In 2017, Russia Cranked Up The Volume

The Russian Facebook scandal damages liberals as much as the right

The Republicans might have been tarnished by the St Petersburg troll factory, but Democratic fantasies about social media were rubbished in the process
The ads in question were memes, manufactured and posted to a number of bluntly named, pseudo-American Facebook accounts in 2016 by workers at a troll farm in St Petersburg, Russia. There were thousands of these ads, it seems, plus parallel efforts on Instagram and Twitter. Between them, they reached over 100 million people.
The memes were big news for a while because they showed what Russian interference in the 2016 election actually looked like, in vivid color. Eventually the story faded, though, in part because it was superseded by other stories, but also, I think, because the Russian ad story was deeply distasteful to both sides of our atrophied political debate.
The ads were clumsily written. They were rife with spelling errors and poor grammar. Their grasp of American history was awful. And over them all hovered a paranoid fear that the powerful were scheming to flip the world upside-down in the most outlandish ways: to turn our country over to the undocumented … to punish the hardworking … to crack down on patriots and Christians … to enact Sharia law right here at home.
The social media platforms aren’t neutral arbiters, selflessly serving the needs of society. As is all too obvious now, they are monopolies that manipulate us in a hundred different ways, selecting our news, steering us towards what we need to buy. The corporate entities behind them wield enormous power in Washington, too, filling Democratic campaign coffers and keeping the revolving door turning for trusted servants. Those who don’t comply get disciplined.
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Russia calls for answers after Chechen leader’s Instagram is blocked

Internet watchdog demands explanation after Ramzan Kadyrov claimed Facebook also suspended him without explanation

https://www.theguardian.com/world/2017/dec/26/chechnya-ramzan-kadyrov-social-media-russia-instagram-facebook

Kadyrov has accused the US government of pressuring the social networks to disable his accounts, which he said were blocked on Saturday without explanation. The US imposed travel and financial sanctions on Kadyrov last week over numerous allegations of human rights abuses.

The former rebel fighter, who is now loyal to the Russian president, Vladimir Putin, is a fan of social media, particularly Instagram, which he has used in recent years to make barely veiled death threats against Kremlin critics.

Leonid Levin, the head of the Russian parliament’s information technologies and communications committee, suggested the move by Facebook and Instagram was an attack on freedom of speech.

Dzhambulat Umarov, the Chechen press and information minister, described the blocking of Kadyrov’s accounts as a “vile” cyber-attack by the US.

Neither Instagram nor Facebook had commented at the time of publication.

In 2015, Kadyrov urged Chechen men not to let their wives use the WhatsApp messaging service after an online outcry over the forced marriage of a 17-year-old Chechen to a 47-year-old police chief. “Do not write such things. Men, take your women out of WhatsApp,” he said.

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more on fake news in this IMS blog
http://blog.stcloudstate.edu/ims?s=fake+news

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