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DT:  Digital, Data, Big Data, Smart Data,Data Asset...

DT: Digital Twins/Digital Thread...

DT: Digital Transformation...

MBX: MBD,MBE,MBSE...

MDX: MDO,MDSE...

Smart X:  Smart City, Smart Grid, Smart Factory, Smart Product...

VR2.0: VR+,+VR,V+R,V=R,V->R,R->V,CPS,LVC

VE: Visual Engineering

I want to ask help to clear how to name it for consulting service？

Hello everyone,

I am currently working on the state of the art of the digital twin concept, and after seeing the categorization made by Kritzinger, W. et al. (2018) and reading several articles, some doubts have come to my mind:

Thank you so much in advance

Historically, most employment was home-based. In the next decade will modern digital communications create a trend so dramatic that “office” workers will become a 20th century anomaly?

Historically, most employment was home-based. Transition occurred.

Since economics always wins long-term, please discuss why "office" workers may become a 20th century anomaly replaced by historical home-based work.

[CFP]2024 4th International Conference on Digital Society and Intelligent Systems (DSInS 2024) - November

DSInS 2024 will be held in Sydney, Australia during November 20-22, 2024. The conference will focus on the application of Intelligent systems in digital society, discuss the key challenges and research directions faced by the development of this field, in order to promote the development and application of theories and technologies in this field in universities and enterprises, and provide innovative scholars who focus on this research field, engineers and industry experts provide a favorable platform for exchanging new ideas and presenting research results.

Internet of Things Planned highlights of DSInS 2024 include:

● Addresses and presentations by some of the most respected researchers in the Intelligent Systems and Digital Society

● Panel discussions

● Presentations of accepted academic and practitioner research papers; a poster paper session

◕Intelligent Systems

Pattern recognition

Machine learning

Neural networks

Natural language processing

Deep learning

Knowledge graph

......

◕Digital Society

Digital manufacturing

Digital communication

Digital transportation

Digital community

Digital government

......

◕Application of Intelligent systems on Digital Society

Character recognition

Video surveillance

Factory automation

Assistive robotics

Intelligent Fault Diagnosis

......

Final Paper Submission Date: October 25, 2024

Conference Dates: November 20-22, 2024

2024 4th International Conference on Digital Society and Intelligent Systems(DSInS 2024) will be held in Sydney, Australia during November 20-22, 2024.

Conference Website: https://ais.cn/u/vQJFNj

The topics of interest for submission include, but are not limited to:

1. Intelligent Systems

Pattern recognition

Machine learning

Neural networks

Natural language processing

Deep learning

......

2. Intelligent Systems

Pattern recognition

Machine learning

Neural networks

Natural language processing

Deep learning

......

3. Application of Intelligent systems on Digital Society

Character recognition

Video surveillance

Factory automation

Assistive robotics

Intelligent Fault Diagnosis

......

All accepted full papers will be published in the conference proceedings and will be submitted to IEEE Xplore, EI Compendex, Scopus for indexing.

Full Paper Submission Date: September 15, 2024

Notification of Acceptance Date: October 10, 2024

Final Paper Submission Date: October 25, 2024

Conference Dates: November 20-22, 2024

Please send the full paper(word+pdf) to Submission System:

Today it is very common that industry players are taking an interest in artificial intelligence.

For us AI is one of the major factors that enabled the digital transformation of our own industry supply chain.

We automated, digitalized and set up analytics tools using collected data from the field.

These tools are systems, algorithms that get closer and closer to AI, that is to say that allow the understanding of what happened, of what’s happening and of what is going to happen in the nearest future to come in our production line or in our factory.

#AI #transform #inspection #routines #industry #taking #interest #artificial #intelligence #digital #transformation #automated #digitalized #analytics #tools #systems #algorithms #future #intelligenza #artificiale #intelligenzaartificiale #production #artificialintelligence #players #digitaltransformation #supplychain #analyticstools #understanding #Randieri #Intellisystem #IntellisystemTechnologies

CMC-Computers, Materials & Continua new special issue “Artificial Intelligence for Efficiency and Sustainability in Manufacturing and Remanufacturing Industrial Processes”is open for submission now.

📆 Submission Deadline:  15 July 2024

👨‍🎓 Guest Editors

Prof. Jiacun Wang, Monmouth University, USA

Dr. Xiwang Guo, Liaoning Shihua University, China

Topics to be covered in this special issue include, but are not limited to, the following:

• Design, control and optimization of assembly systems

• Design, control and optimization of disassembly systems

• Digital twin techniques in manufacturing

• Emission control and energy saving in manufacturing

• End-of-life product recycling

• Formal methods in the modeling, verification and analysis of manufacturing systems

• Heuristic search algorithms

• Intelligent factory

• Real-time operation management

• Real-time task allocation

• Real-time task scheduling

• Machine learning and reinforcement learning in manufacturing

• Smart sensing and control

• Smart logistics management

• System simulation and performance evaluation

• Sustainability manufacturing

• Workstation load balancing in manufacturing, assembly and disassembly

📚 For submission guidelines and details, visit: https://www.techscience.com/cmc/special_detail/manufacturing-remanufacturing

The cerebellum is the critical structure in the brain that contains all the efference-copy codes for both mindful and mindless behavior, including that which regulates autonomic functions of the body (Tehovnik, Hasanbegović, Chen 2024). These codes can be thought of as mirror representations of the body, representations that are continuously updated through the senses as an animal interacts with its environment. What this does is provide an animal with the best predictions of the future, so that corrections can be made immediately to enhance survivability. Even though the German word for a mirror representation of the self has been referred to as ‘Doppelganger’, and recently employed to emphasize the internet’s ability for users to have various versions of themselves (Klein 2023), that is having many avatars, this idea preceded modern humans by tens of millions of years, since the current-day cerebellum of all vertebrates has been shaped by 500 million years of evolution (Cisek 2019). In humans, the cerebellum has an estimated information storage capacity of 2.8 x 10^14 bits of information and an aggregate information transfer rate with a capacity of 1.1 x 10^14 bit per second (Huang 2008; Tehovnik, Hasanbegovic, Chen 2024), which is an extraordinary number depicting 2^(10^14) possibilities per second. Individual modules composed of Purkinje neurons in the cerebellum that are dedicated to a function (e.g., your primary language) are summoned by the immediate activation of specific islands of neurons in the neocortex (i.e., a collection of declarative-conscious units, Tehovnik, Hasanbegović, Chen 2024), so that the cerebellar modules can complete the function automatically, much like that of the autonomic nervous system for regulating the gut. Sigmund Freud (1899) has referred to this regulation as being part of the ‘id’ or the ‘unconscious’, which is a central feature in psychoanalysis.

The Economist newspaper (August 31, 2024) recently published two articles on the significance of having a ‘Doppelganger’ for regulating race cars, healthcare, as well as corporations using AI. One of two articles is included below:

“

When a factory has secrets to protect it is not unusual for security staff to ask that no photos be taken. This industrial campus in Milton Keynes, north-west of London, however, is particularly cautious. It is the home of Oracle Red Bull Racing, a Formula 1 team involved in a competitive contest that relies on levels of engineering so advanced they would leave most manufacturers in the dust.

Red Bull employs some 1,500 people building racing cars. Their principal mission is to keep two of those cars at the peak of their performance for the team’s drivers—Max Verstappen (the winner of three world championships since 2021) and Sergio Pérez—to deliver more race victories during the 2024 Grand Prix. Out on the track, they race in a world where mere fractions of a second over a minimum of 305km separates winners from losers. But there is another world in which the f1 teams battle it out: a virtual one.

During a season Red Bull’s cars will be subject to several thousand design changes and tweaks. These have to be done at breakneck speed, with components designed, tested, shipped and fitted in a matter of days between races. There is no room for error. Like its f1 rivals, the only way Red Bull can maintain such a pace is by using software that simulates the entire production process, so that any problems are ironed out before they emerge.

That simulation is done using what is called a “digital twin”. The advantages such twins offer in speed, reliability and cost together represent the future of manufacturing.

A digital twin is a virtual representation of something. It could be an object, like a car or an aircraft. Or, as we consider in the next two stories, it could be more complex systems, such as industrial processes or bodily organs. Even in the case of a humble car part, it encompasses more than physical attributes, from details about how the object was built and how it ages to how it breaks and the way it can be recycled.

To work, a digital twin needs to be constantly updated by its physical counterpart. This is done using real-time information gleaned from sensors that measure just about anything that can be measured. In the case of Red Bull, each of its cars’ digital twins is updated by more than 250 sensors constantly checking things like engine performance, tyre temperatures and suspension movements. By the end of a race, the amount of wireless data relayed by each car back to a team’s engineers can be in the terabytes.

The race track serves as a laboratory for the transfer of digital twins to the broader motor industry, says Ignazio Dentici, head of the automotive division of Hexagon, a Swedish company which supplies twinning technology. This includes laser scanners, which Red Bull uses to check the dimensions of components down to an accuracy of two millionths of a metre. That might seem extreme, but f1 is an extreme sport. Not only does such accuracy ensure that parts match the design specs, it also ensures that they do not stray outside the strict dimensions laid down by f1 rules, which can lead to disqualification.

The digitisation of car design and the virtual testing of prototype vehicles in a simulator has helped shrink the process of taking a new model of a regular vehicle from conception to mass production from around five years to about two, adds Mr Dentici. Carmakers are now trying to create digital twins of their factories and supply chains to plan production more efficiently. As the volume of data grows, artificial intelligence (ai) will help analyse the twins and suggest improvements.

“All this is a long way from where digital twins began. That is usually pegged to the Apollo space programme and, in particular, April 13th 1970. On that day the (often misquoted) words “Houston, we’ve had a problem,” were uttered, as the three astronauts on Apollo 13 reported that an oxygen tank had ruptured, disabling some of the spacecraft’s critical systems. To help bring them back to Earth safely, nasa’s engineers used the simulators on which the crew had been trained to work out new manoeuvring procedures. The simulators were largely physical models, as computerisation was limited. But it was possible to use data transmitted from the damaged spacecraft to recreate the problems, and thus explore ways around them.

The idea of using a purely digital model for engineering spread as computer power increased and sophisticated design and manufacturing programs emerged. Specialised software has also been developed for things like structural analysis and computational fluid dynamics, which can be used to explore aerodynamics without the need for an expensive wind tunnel. At the same time, powerful computer graphics allow results to be displayed in more elaborate ways, including virtual-reality systems that let engineers peer inside things like aircraft wings, as well as driving virtual cars on virtual roads and race tracks.

These tools are now being used on the grandest scales. At the Tinker Air Force Base in Oklahoma, all 76 of America’s fleet of giant b-52 bombers need their engines replaced. These cold-war aircraft date from the 1950s and each has eight jet engines, configured as pairs of jets contained in four pods, hanging under their wings. The work, and the way the updated bombers will fly, is already well understood. This is because the entire process has been extensively explored using a digital twin.

When the engine-replacement programme was put out to tender, the usAir Force made digital models a requirement, ruling out any paper plans. This virtual “fly-off”, potentially worth $2.6bn, was won by Rolls-Royce, a British engineering group, using a digital twin that replicated its f130 military engines installed in a b-52. These engines will be manufactured at a Rolls-Royce factory in Indianapolis.

Rolls-Royce, along with its two big American rivals, General Electric and Pratt & Whitney, which also competed for the contract, were among the first to start using digital twins to monitor the performance of their engines. Airlines used to buy engines for their aircraft, maintain them and carry their own stock of spares. Now they mostly rent their engines using a subscription model known as “power by the hour”, which means manufacturers are paid only when their engines are working.

As a result, “we are heavily incentivised to understand how our fleets of civil engines are behaving,” explains Steve Gregson, a senior Rolls-Royce engineer. Each engine, therefore, has a digital twin. Whenever the real engines are airborne, sensors relay data to an open-all-hours monitoring centre where the twins are updated and checked for anything that looks amiss. Automated algorithms, using a form of ai, then look for patterns and anomalies that may not be readily apparent.

To illustrate how this works in practice, Mr Gregson describes a recent flight from Singapore to Los Angeles. A couple of hours after departure, the health monitoring detected a potential engine problem and suggested a likely cause. Engineers liaised with the airline and pilots, concluding it was safe for the flight to continue. Meanwhile, a team of technicians were summoned from Indianapolis, spare parts were put on a plane from France, and a replacement engine sourced. By the time the flight landed, a team was ready to make repairs and get the aircraft back into the air as quickly as possible.

Spotting problems before they occur has both safety and financial benefits. It also makes routine servicing more effective. Aircraft used to require their engines be serviced at set intervals, even though some journeys cause more wear and tear than others. Planes flying out of an airport in a desert region, like the Middle East, can ingest gritty dust particles, which abrade components faster. Certain flights are more heavily laden, which adds stress. And some pilots push the throttles harder than others. As the digital twin takes such things into account, maintenance schedules can be tailored to how each engine is actually wearing. This means some engines can stay on the wing as much as 30% longer, says Rob Fox, a senior design manager with Rolls-Royce.

Although many cars inform their owners when they need servicing, most do not have sophisticated digital twins keeping tabs on them the way jet engines and f1 cars do. But as sensors get cheaper and model-building becomes easier, that could change. Other products may follow, from phones to washing machines. The technology is yet to enter its highest gear.

“

(In: Surprise! It’s Twins. The Economist, Aug. 31, 2024)

My constructionist roots traced to Bruner [the man himself] with MACOS, something we did as primary school kids in of all places, Newtown Australia. So formative was this experience, likewise for all my classmates because we still talk about MACOS now, that I went to uni wanting to be an Anthropologist. Pity kids these days overburdened with NAPLAN and other high stakes tests. Just realised why Heidegger and Phenomenology never left me [What so Human about Human Beings? - Not Humans as my 5th teacher (RIP) always insisted]... until now!

MACOS got rid fo the books, which was extremely helpful for a bunch of inner city working class kids i grew up with, not so unlike the pack from Welcome Back Kotter, where there´s always the trope of the CARING TEACHER who took a bunch of NO HOPERS and turn them into FEARLESS HOPERS (Snow from the Hunger Games: Hope is greater than fear).

https://www.nfb.ca/film/through_these_eyes/

Unlike the 3 Wise Men of exCoCo, who I suspect harbour horrible school memories and would like to do a way with the teacher, and leave us with just the learner. Be that the draconian head master wielding 3 different types of canes (thumbstick size, medium and whip lash thin), the Latin teacher who taught a useless language, or the mid town boy who aspires to go the Ivies.

I was fortunate enough to have the kinds of teachers who were celebrated in Kotter and To Sir With Love. They cared, attended, and they touched (appropriately thankfully) by reaching out to our innate curiousities and naive ontologies.

https://www.youtube.com/watch?v=Mmm3KTa601s

https://www.youtube.com/watch?v=PT5OmavfOWg

https://www.youtube.com/watch?v=j64SctPKmqk

It syrupy and pathetically nostalgic, but what do we have to look with the future in the present, the present in the past? Does anyone have memories like these anymore?

How did we go from taking inner city kids out of the classroom to burning books?

How did we get to the land of the blind where the one eye Long John Silver is the king in the land of the blind?

How did we get to scourging out the visions and eyeballs of the Inventor who either lost his touch (Metropolis) to the Inventor who lost his sights/ whose visions need to be gorged out (Blade Runner)?

When will the Baby Boomers hand over the factory keys to Gen Xer who have a memory that span between analogue and digital?

Please don´t give us GEE, I just discovered the rationales why my kid binge on videogames, just let me put in adult terms: What Video Games have to Teach Us about Learning?

Gen Xers, like me, grew up with Vic 20, Commodore 64, Amiga whatever, LISA and MacIntosh. Now have to contend with OOgle who own our tablets (try doing a factory reset like old school reformatting the hard drive in an Android, it´s worst than those asteRISKs screws).

How did we get from NO CHILD LEFT BEHIND to 99% being left behind?

How did we go from the once in the blue moon high stake test to the every day high stake test?

https://www.youtube.com/watch?v=hIdsjNGCGz4