Seventy years on from AI appearing on the public scene and all the optimistic projections have been largely overtaken with systems outgunning humans at all board, card and computer games including Chess, Poker and GO. Of course; general knowledge, medical diagnosis, genetics and proteomics, image and pattern recognition are now all firmly in the grasp of AI.
Interestingly, AI is treading a similar path to computing in that it began with single purpose/task machines that could only deal with a company payroll calculations or banking transactions and nothing more! General purpose computing emerged over further decades to give us the PCs and devices we now enjoy. So, AI currently runs as task specific applications on these general purpose platforms, and no doubt, general purpose AI will also become tractable in a few decades too!
Recent progress has promoted a deal of debate and discussion along with hundreds of published papers and definitions that attempt to characterise biological and artificial intelligence. But they all suffer the same futility and fail! Without reference to any formal characterisation, all discussion and debate remains relatively meaningless.
Somewhat ironically, it was the defence industry that triggered the analysis work here. Two of key steps to success were: the abandonment of all performance comparisons between biological and machine entities; and the avoidance of using the human brain as some ‘golden’ intelligence reference.
This presentation is suitable for professionals and public alike, and comes fully illustrated by high quality graphics, animations and movies. Inevitably, it contains (engineering) mathematics that non-practitioners will have to take on trust, whilst professionals may wish challenge on the basis that the focus on getting a solution rather than the purity of the process!
A new COVID-19 pandemic has been sweeping the world. Now, many people have had to stay home from school or work. Studies show that most people use their smartphones an average of 80-150 times a day. We are all addicted to our phones, and if you don’t keep them in check, there may be serious repercussions.
glaucoma of the childhood: classification , development of angle structure. pathogenesis, primary infantile glaucoma, differential diagnosis.... rest will be continued in other presentations of mine
A new COVID-19 pandemic has been sweeping the world. Now, many people have had to stay home from school or work. Studies show that most people use their smartphones an average of 80-150 times a day. We are all addicted to our phones, and if you don’t keep them in check, there may be serious repercussions.
glaucoma of the childhood: classification , development of angle structure. pathogenesis, primary infantile glaucoma, differential diagnosis.... rest will be continued in other presentations of mine
Nowadays, it is very much common to see smart phone on child's hand. They are master to use, play and glue on smart mobile very early age of life. But we should envision the Impact of smart phone on child development. Every parent should concern about the screen time of the child.
Computer vision syndrome is a common eye of the computer users. Its prevalence case are increasing day by day. So, prevention methods are applied to reduce of the computer negative result on our eyes.
Seminārs: Sociālie mediji un klientu attiecību vadība. Rīkoja CRM Consulting sadarbībā ar komunikāciju portālu draugiem.lv un nacionālo ziņu aģentūru LETA
Brain Fingerprinting is scientific technique to determine whether or not specific information is stored in an individual's brain.
Ruled Admissible in one US Court as scientific evidence.
It has a record of 100% Accuracy.
It should be no surprise that AI is treading a similar path to computing which began with single-purpose machines tasked for payroll calculations, banking transactions, or weapons targeting et al, but nothing more! It took decades for General Purpose Computing to emerge in the form of the now ubiquitous PC. Today, AI is still in a single-purpose/task-specific phase, and we have no general-purpose platforms, but their emergence is only a matter of time!
Recent AI progress has seen a repeat of the media debate and alarmist warnings for our computing past, compounded by consequential advances in robotics. In turn, this has promoted numerous attempts to draw biological equivalences defining the time when machines will overtake humans. But without any workable definitions or framework that tend to little more than un/educated guesses. Recourse to IQ measures and the Touring test have proved to be irrelevant, and without a reference framework or formal characterisation, continued discussion and debate remain futile
We therefore approach this AI problem from the bottom up by defining the simplest of machines and lifeforms to derive clues, pointers and basic boundary conditions . This sees a fundamental Entropic description emerge that is applicable to both machine and lifeforms.
This presentation is suitable for professionals and the public alike, and is fully illustrated by high-quality graphics, animations and, movies. Inevitably, it contains some mathematics that non-practitioners will have to take on trust, but the focus is on defining the key characteristics, parameters, and important features of AI, our total dependence, and the future!
Note: A 40 min session for a predominantly ley audience and not all the slides presented here were used on the day. Their inclusion here is in response to those audience members requesting more detail at the end of/during the event.
When people are exposed to the new for the first time their reaction, quite rightly, is generally one of caution and perhaps a degree of suspicion. And, when that ‘new born’ is a novel technology, reactions can quickly become amplified and biased toward the dystopian by the sensationalism of media and mis-information of social networks. In this modern era I think we can also safely assume that Hollywood has more than a ‘bit part’ in nurturing extreme reactions with movies such as Terminator, AI and Ex-Machina.
Our purpose here is to dispel the modern myth that technology is, or can be, inherently evil and a direct threat to humanity. We do so by positing three basic axioms:
“Without technology we would know and understand
almost nothing”
“The greatest threat to humanity is humanity”
“If technology progress and societal advance stall, then civilisations collapse”
Having briefly establishing these in the context of our wider history, we focus on the Industrial Revolutions and their beneficial upside and consequential negatives. We then move on to examine Robotics, Artificial Intelligence, Artificial Life, and Quantum Computing in the context of our current needs and realising sustainable futures, and the survival of our civilisation.
Nowadays, it is very much common to see smart phone on child's hand. They are master to use, play and glue on smart mobile very early age of life. But we should envision the Impact of smart phone on child development. Every parent should concern about the screen time of the child.
Computer vision syndrome is a common eye of the computer users. Its prevalence case are increasing day by day. So, prevention methods are applied to reduce of the computer negative result on our eyes.
Seminārs: Sociālie mediji un klientu attiecību vadība. Rīkoja CRM Consulting sadarbībā ar komunikāciju portālu draugiem.lv un nacionālo ziņu aģentūru LETA
Brain Fingerprinting is scientific technique to determine whether or not specific information is stored in an individual's brain.
Ruled Admissible in one US Court as scientific evidence.
It has a record of 100% Accuracy.
It should be no surprise that AI is treading a similar path to computing which began with single-purpose machines tasked for payroll calculations, banking transactions, or weapons targeting et al, but nothing more! It took decades for General Purpose Computing to emerge in the form of the now ubiquitous PC. Today, AI is still in a single-purpose/task-specific phase, and we have no general-purpose platforms, but their emergence is only a matter of time!
Recent AI progress has seen a repeat of the media debate and alarmist warnings for our computing past, compounded by consequential advances in robotics. In turn, this has promoted numerous attempts to draw biological equivalences defining the time when machines will overtake humans. But without any workable definitions or framework that tend to little more than un/educated guesses. Recourse to IQ measures and the Touring test have proved to be irrelevant, and without a reference framework or formal characterisation, continued discussion and debate remain futile
We therefore approach this AI problem from the bottom up by defining the simplest of machines and lifeforms to derive clues, pointers and basic boundary conditions . This sees a fundamental Entropic description emerge that is applicable to both machine and lifeforms.
This presentation is suitable for professionals and the public alike, and is fully illustrated by high-quality graphics, animations and, movies. Inevitably, it contains some mathematics that non-practitioners will have to take on trust, but the focus is on defining the key characteristics, parameters, and important features of AI, our total dependence, and the future!
Note: A 40 min session for a predominantly ley audience and not all the slides presented here were used on the day. Their inclusion here is in response to those audience members requesting more detail at the end of/during the event.
When people are exposed to the new for the first time their reaction, quite rightly, is generally one of caution and perhaps a degree of suspicion. And, when that ‘new born’ is a novel technology, reactions can quickly become amplified and biased toward the dystopian by the sensationalism of media and mis-information of social networks. In this modern era I think we can also safely assume that Hollywood has more than a ‘bit part’ in nurturing extreme reactions with movies such as Terminator, AI and Ex-Machina.
Our purpose here is to dispel the modern myth that technology is, or can be, inherently evil and a direct threat to humanity. We do so by positing three basic axioms:
“Without technology we would know and understand
almost nothing”
“The greatest threat to humanity is humanity”
“If technology progress and societal advance stall, then civilisations collapse”
Having briefly establishing these in the context of our wider history, we focus on the Industrial Revolutions and their beneficial upside and consequential negatives. We then move on to examine Robotics, Artificial Intelligence, Artificial Life, and Quantum Computing in the context of our current needs and realising sustainable futures, and the survival of our civilisation.
Man’s dreams of ‘intelligences and robots’ goes back thousands of years to the worship of gods and statues; mythologies: talisman and puppets; people, places and objects with supposed magical and (often) judgemental/punitive abilities. But it wasn’t until the electronic revolution in 1915, accelerated by WWII that we saw the realisation of two game changing-machines: Colossus (Decoding Machine of Bletchley Park) 1943 and ENIAC (Artillery Computation Engine and Nuclear Bomb Design @ The University of Pennsylvania) 1946.
And so in 1950 the modern AI movement was optimistically projecting what machines would be capable of ‘almost anything’ by 1960/70. Unfortunately, there was no understanding of the complexity to be addressed, and all the projections were wildly wrong; leading to a deep trough of disparagement and disillusionment of some 30 years. However, 70 years on and the original AI optimism and projections of what might be have at least been largely achieved with AI outgunning humans at every board and card game including Poker and GO, and of course; general knowledge, medical diagnosis, image and information pattern recognition…
It is not by accident that all these technologies appear to have come onto the scene at almost the same time. They are all driven, and or enabled, by the same hardware platforms based upon silicon with chip densities that now rival, or exceed, many biological lifeforms. Their ability to support increasingly complex software has seen AI and robotics become major industrial and medical tools. At the same time, Artificial Life is being applied in a more invisible manner, with Quantum Computing promising to change everything.
So why are these technologies so important? In short; they allow us to tackle and understand the most difficult problems facing our species. And all of these are complex, non-linear, with emergent properties that defy our mathematical and computing frameworks. Problems that are way beyond any biological brain include: protein folding; stem cell behaviours; drug interactions; the understanding of chemistry, biology, seismic activity, and weather systems, pollution and global warming; plus the creation of new materials, device, machine and building design.
Presented @ The University of Essex Innovation Centre for the IoD
It also turns out that they are essential for the creation of sustainable societies…
The aspirational visions of Society 5.0 coined by many nations around 2015/16 have now been eclipsed by technological progress and world events including another European war, global warming, climate change and resource shortages. In this new context, the published 5.0 documents now seem naive and simplistic, high on aspiration, and very short on ‘the how’. The stark reality is that the present situation has been induced by our species and our inability to understand and cope with complexity.
“There are no simple solutions to complex problems”
What is now clear is that our route to survival and Society 5.0 will be born of Industry 4.0/5.0 and a symbiosis between Mother Nature, Machines, and Mankind. Today we consume and destroy near 50% more resources than the planet might reasonably support, and merely improving the efficiency of all our processes and what we do will only delay the end point. And so I4.0 is founded on new materials and new processes that are far less damaging, inherently sustainable, and most importantly, readily dispensable across the planet.
“Reversing global warming will not see a climatic reversal to some previously stable state”
In this presentation, we start with the nature of climate change, move on to the technology changes that might save the day, the impact of Industry 4.0/5.0, and then postulate what Society 5.0 might actually look like.
Man’s dreams of ‘intelligences and robots’ go back thousands of years to the worship of gods and statues; mythologies: talisman and puppets; people, places and objects with supposed magical and (often) judgemental/punitive abilities. But it wasn’t until the electronic revolution in 1915, accelerated by WWII that we saw the realisation of two game changing-machines: Colossus (Decoding Machine of Bletchley Park) 1943 and ENIAC (Artillery Computation Engine and Nuclear Bomb Design @ The University of Pennsylvania) 1946.
And so in 1950 the modern AI movement was optimistically projecting what machines would be capable of ‘almost anything’ by 1960/70. Unfortunately, there was no understanding of the complexity to be addressed, and all the projections were wildly wrong; leading to a deep trough of disparagement and disillusionment of some 30 years. However, 70 years on and the original AI optimism and projections of what might be had at least been largely achieved with AI outgunning humans at every board and card game including Poker and GO, and of course; general knowledge, medical diagnosis, image and information pattern recognition…
Education systems across the West have degenerated into a series of memory tests and the quest to hit abstract performance targets and measures. So students that appear well qualified are often unable to apply the most basic of mathematical, scientific, engineering or logical principles, and nor do they have a good appreciation of history or design. This does not bode well for a future of faster change and greater complexity.
“At the most basic level our society it is about the survival of the most adaptable”
For sure; today’s education and learning methodologies have to move toward more experimental and experiential working in order to reinforce the basics whilst engendering far greater understanding. Early specialism has also to be reversed with all students studying a broader range of topics through school and on into college and/or university.
“Education isn’t something you have to get done and dusted - it is a lifelong pursuit”
There is a further need to recognize that the (so-called) academic and practical streams are afforded equal importance! To get the best out of teams/groups all members have to share a common base of understanding and appreciation. In turn, this can be enabled and supported by Just-in-Time education and training-on-line. But there is much more….
Throughout our education and life we are mostly given a ‘soda-straw’ view of Maths, Physics, Chemistry, Biology, HealthCare, Business and Commerce that conditions us to ‘one concept at a time’ thinking. This is rife in Government and Politics, Industry and Health, and it has been extremely powerful in a now past slow paced and disconnected world. In fact, the speciation of disciplines, topics and problems has largely been responsible for the acceleration and prominence of human progress.
However; in a connected/networked, highly mobile, and tech driven world this simple and narrow minded view is insufficient and dangerous. In common parlance we refer to ‘unintended consequences’ whilst in complex system theory would use the term ‘emergent behaviours’. In brief; education, health, crime, productivity, GDP creation, social cohesion and stability cannot be considered independent variables/properties. They are all related and interdependent. For example; when politicians decide to starve the education system of funds for very young children the impact shows up in health, crime and the economy some 10 - 30 years later!
By analogy; all of this is true of our technologies, industries, lives, and the prospect of sustainable societies. Robots, AI, AL, and Quantum Computing do not stand alone in isolation, they have complementary roles. In this Public Lecture we devote an hour to thinking more holistically what these technologies bring to the party in the context of industry, health, society, sustainable societies and global warming. We then devote a further hour to discussion and debate.
In the context of Global Warming we make the following overriding observations:
“Panic is a poor substitute for thinking”
“Tech is the only exponential capability we enjoy”
“Technology is never a threat, but humans always are”
“Uncertainty always prescribes the precautionary principle”
"Demystifying a world of the weird and unexpected"
In just over 100 years our understanding of reality, nature, and the world about us has transited from the simple, linear and causal, to the complex, non-linear, and confounding. As a species, we now understand something of the scale of the problems we face and the limitations of our innate abilities. In addition, our mathematical and digital computing frameworks do not scale to match the challenges of climate change, global warming, or the economics of sustainability.
‘Quantum Computing is analogue/probabilistic and not digital’
The stark reality is; We will never understand the human brain, the true nature of cancer, chemistry, biology, life, and the complexities of the environment using today’s tools. Building bigger and better digital computers does not scale to meet these challenges, and is untenable in the longer term! For sure, AI can help us formulate new enlightenments, but it still isn’t enough. We occupy a quantum universe that cannot be decoded and understood by us or our linear machines, no matter how many or how big! A Quantum universe demands Quantum Computers to realize deep understandings.
‘Quantum Computers will not replace our digital computers
In this multi-media talk we open the ‘quantum kimono of reality’ to explain the what, how, and when, of Quantum Machines and the implications for the future.
Predicting digital futures a sector at a time is relatively easy, but in a networked world driven by accelerating technologies this is insufficient. Sectors do not operate in isolation, they are connected, and as technology advances the boundaries morph, with whole industries overtaken and pushed aside. At the same time old jobs lose relevance and new skills are required, but in aggregate ever more people are employed. Today there is no country, no matter how big or rich, that has all the raw materials and people required to power its industries, healthcare systems, farming and food production, or indeed educational institutions. Insourcing, outsourcing, and globalisation are the result, and they are about to be augmented by global networking of facilities, skills and abilities
We have never known or understood so much about our world, and nor have we enjoyed the capabilities bestowed by modern technology. But keeping up to date, acquiring the right knowledge and skills is a growing challenge as ‘the world of the simple’ evaporates and complexity takes over.
“There are plenty of simple solutions to complex problems, but they are all wrong”
Preparing for change whilst coping with the status quo now presents many new challenges way beyond human ability and we have to partner with machines to aid our decisions. For organisations it is essential to find and employ the right people, and for people it is necessary to become ever more flexible and adaptable whilst continually acquiring pertinent capabilities.
“AI and robots are not going to push us aside, but they will change everything”
No man is an island, and neither is any country, company or institution. A digital and connected global interdependency now governs the fortunes of our species as technology empowers us at every level. In this presentation we highlight a small sample of the technologies on the horizon, the jobs they will destroy, enhance and create.
It is hard to understate the importance of ‘Thermodynamics’ in providing an almost complete (Grand Unified Theory) picture of the inner physics of energy transfer spanning machines and chemistry thro information.
Apparently, Einstein had two favourite theories: General Relativity and Thermodynamics! He championed both because of their ‘beauty’, completeness, and emergent properties purely derived from the fundamental consideration of how the universe works.
The origins of this topic mainly reside in the Industrial revolution and the realisation that the early machinery was grossly inefficient. E.G. Engines were only converting the energy consumed to ~2% of useful work output. This drew the attention of Savery (1698), Newcomen (1712), Carnot (1769), and for the next 200 years the conundrum of lost energy occupied many of the greatest scientific minds. This culminated in Rudolf Clausius (~1850)publishing his theory of Thermodynamics with further refinement by Boltzmann (1872).
Why was all this so important? In the 1700s a ‘beam engine’ weighing in at >20 tons consumed vast amounts of coal, to deliver an output ~10hp. Today a Turbofan jet Engine can deliver >30k hp at a weight of ~6 tons. This is the difference between working with little understanding, and today where our knowledge is far more complete. Our latest challenges tend around non-linear loss mechanisms associated with turbulent air and fuel flow.. And like many other fields we have to step beyond our generalise mathematical models and turn to the power of our computers for deeper insights.
Ultimately all machines, mechanisms, computing processes and information itself, involve the transformation of matter and/or bits, and thus they are Entropic and subject to the theory of Thermodynamics. This lecture therefore presents a foundation spanning the history and progress to date in preparation for the embracing other science and engineering disciplines.
Uncanny Valley addresses our reactions to humanoid objects, such as robots, a video game characters, or dolls, and how they look and act ‘almost’ like a real human. Feeling of uneasiness or disgust in the observer are addressed directly, rather than familiarity or attraction. The theory was proposed by Japanese roboticist Masahiro Mori in 1970 and has been explored by many researchers and artists since. It has application in AI, robotics, MMI, and human-computer interaction, and helps designers to create more appealing devices that can interact with people in various domains, such as industry, education, entertainment, defence, health care, et al.
In this lecture we explain and demonstrate the fundamentals before extending the principle to sound, motion, actions, and eyes as an output mechanism. We also note that all this poses some challenges and risks in the potential for reduced the emotional connections, empathy, acceptance, and trust between humans and machines. On a further dimension the potential to create threat and terror can be useful opportunity in the military domain. It is thus important to understand the causes and effects of the uncanny valley in the wider sense in order to meet the needs of each application space
Engineering might be defined as the judicial application of science and scientific knowledge, but with the rider that unlike science and scientific studies, engineering always has to deliver a solution and a result. There are therefore aspects of engineering that stretch and challenge, the accepted, wisdom and knowledge of science. To purists, this might appear outrageous, but it is no more so than the works of Erwin Schrödinger or Leonhard Euler et al
In this lecture we examine many of the established engineering basics whilst being mindful that most of our education, techniques, and working solutions are founded on the assumption of well behave linear environments. As our entire universe, and everything in it, is inherently complex and non-linear, we have to salute the powers of approximation and iteration for our many engineering success to date. However, we are increasingly being challenged by complexities of the fundamental non-linear nature of the problems confronting us. ( E.G. Politics, Conflict, Global Warming, Sustainability, Medicine, Fusion Power, Logistics, Networks, Depletion of Resources, Accelerating Tech Driven Change +++)
We start by tracing history from the foundations up to the present day, including modern analytical nomenclature and techniques, system reliability, resilience and costs, we highlight the the basic human limitations that necessitate multi-disciplinary teams that include AI and vast computing power.
The overall treatment includes our analogue past, digital today, and analogue/digital hybrid future of computing, robots, networks and systems of all kinds. It also includes animations, movies and sound files to demonstrate the realities of modern system design including the inherent complexities. To further highlight, and exemplify this projected future, we examine a real engineering project concerned with acoustic sniper spotting under battlefield conditions and extreme noise. Here a combination of digital modelling sees the use of analogue acoustic filter arrays, analogue signal amplification, and digital signal processing doubling the range of sniper detection and location.
Javantura v6 Conference
What is the future of Earth and Sun in the close and far future? What is the future of this part of the Universe and how the whole Universe will end? What is the close future of humankind? What is the best way to deal with greatest challenges like climate changes, artificial intelligence, globalisation and generally very fast advancement of technology. What is the future we want? In this session we will discuss answers to these questions, as the basis for further discussion and as food for thoughts.
Instrumentation as a Living Documentation: Teaching Humans About Complex SystemsBrian Troutwine
Instrumentation of Complex Systems is necessary and addresses the issues of static documentation of said systems. Instrumentation is flawed, flaws which are resolvable with an intentional kind of documentation.
Given at Write the Docs, Portland OR 2014.
From the begging of the industrial revolution, we have built systems and machines on the basis that people will just have to learn about the interface and adjust accordingly. And so the skill of the individual craftsman was overtaken and subverted by the expertise of the ‘operator,’ production line, and mass production enabling us all to do more-and-more with less-and-less, to raise living standards, the health and wealth of individuals and nations.
In effect, we bent humanity into technology to meet the specific needs (and will) of the machines, but to the greater benefit of humanity! But now we stand at the cusp of a new era with AI and Robotics are able to adapt to our individual and most specific needs. That is: machines bend to meet our needs; to empower us as individuals and organisations to do and achieve ever more.
But their remains one last bastion of inconvenience centered on ID and security - often referred to as ‘Password Hell’. We are all awash with multiple Cards, Licences, Visas, Passports, Badges, Codes, PINs, Passwords, User Names, IDs, Log-On, Log-In, Entry, and Exit Protocols! And so it is time to get all of this out of the domain of the human and into the realm of our machines! Today we are in the process of migrating from a nightmare past of our own design, into a biometric world where machines will recognise us and grant us access automatically. And at the fringe some young populations are already being chipped exactly in the same way our pets have been chipped for the past decades.
Apart from the obvious advantage of not having to carry any money or ID of any kind, there is the assurance of extra safety, security and health support wherever we happen to be. It is not available right now, but beyond an ID Chip, we can easily embed, or provide links to, our medical record into the same technology. We, and not just our devices and possessions, also become a part of the IoT!
Of course, for many, they see the threat of a looming dystopian future aka Hollywood! But this will be a choice between convenience and greater security versus what we have today - but that choice has to remain ours! In this presentation we look at the widening spectrum of technologies available and the need to concatenate widely different techniques to exceed the accuracy of DNA and other human/biological parameters
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Past civilisations have nurtured small populations of those trying to understand and manipulate nature to some advantage in materials, tools, weapons, food, and wealth. However, they never formed communities and lacked the means of recording, communicating, and sharing successes and failures. They also lacked a common framework/philosophy to qualify them as scientists, but that all began to change in the 16th Century. In this lecture we consider the progression to a philosophy of science, and the underlying principles and assumptions that now guide scientific inquiry.We also examines the nature of scientific knowledge, the methods of acquisition, evolution, and significance over past centuries, and reflect on the value to society.
In the struggle to solve problems, deliver understanding, and reveal the truth about our universe, science had to suffer and survive: ignorance, bigotry, established superstitions, and the ‘diktats’ of religions and politics, and latterly, falling education standards mired by social media. We chart that ‘scientific’ journey emphasising the importance of observation, experimentation, and the search for universal laws. Ultimately, this essentially Aristotelian perspective was challenged and overtaken by the rise of empiricism, which emphasised the importance of sensory experience and the limitations of human knowledge.
Science continues to evolve and provide us with the best truths attainable with our leading edge technologies of observation and experimentation. Today, it stands as the greatest and richest contributor to human knowledge, understanding, progress, and wellbeing. In turn, debates and controversies are ongoing, shaping the field and philosophy which remains essential for understanding the nature of scientific knowledge and the models it creates. But unlike any belief system, the answers and models furnishers by science are not certain and invariant, they tend to be stochastic and incomplete - ‘the best we can do’ at a given time.
In this workshop session we identify aging technology design concepts, old business and operating models, plus energy supply limits as the prime constraints of 6G and beyond. We also identify the notion of an erroneous spectrum shortage born of the bands and channel mode of operation which is fundamentally unsuited to 6G and IoT demands in the near and far future.
We strongly link optical fibre in the local loop with future wireless systems and the need for very low-energy ‘tower-less’ systems. We also postulate a future demanding UWB and HWB (Hyper) with transmission energies ~𝛍W and signals below the ambient noise level. This will be necessary to power an IoT of >2.4Tn Things which we estimate to be necessary for Industry 4/5 and sustainable societies.
IoT growth forecasts currently tend to span 30 – 60 Bn ‘Things’ by 2030. However, this ignores the central IoT role in realising sustainable societies where raw materials and component use have to see very high levels of reuse, repurposing, and recycling. In such a world almost everything we possess and use will have to be tagged and be electronically addressable as a part of the IoT. Such a need immediately sees growth estimates of 2Tn or more over the span of Industry 4 and 5. On the basis of energy demands alone, it is inconceivable that the technologies of BlueTooth, WiFi, 4, 5, and 6G could support such demand, and nor are the signaling and security protocols viable on such a scale.
The evolution of the IoT will therefore most likely see a new form of dynamic network requiring new lightweight protocols employing very little signal processing, together with very low energy wireless technologies (in the micro-Watt range) operating over extremely short distances (~10m). This need might be best satisfied by a new form of ‘Zero Infrastructure Mesh Networks’ that engage in active resource sharing, lossy probabilistic routing, and cyber security realised through an integrated ‘auto-immunity’ system. Ultimately, we might also envisage data amalgamation at key nodes that have a direct connection into the internet along with an additional layer of cyber checks and protection.
We justify the above assertions by illustrating the energy and network limitations of today’s 5G networks and those already obvious in current 6G proposals. We then go on to detail how a suitable IoT MeshNet might be configured and realised, along with a few solutions and emergent outcomes on the way.
Recently, it has become increasingly evident that we have engineers and scientists reaching a professional level of practice without a clear understanding of the scientific method, its origins, and its fundamental workings. There also appears to be a lack of appreciation of our total dependence on the truths that science continually reveals. How this situation ensued appears to vary from country to country, and the flavour of education system encountered by students. But a common complaint is the progressive dumbing down of the science curriculum along with a dire shortage of qualified teachers. This also seems to be compounded with the increasing speciation of science and engineering into narrower and narrower disciplines. So this situation (crisis?) prompted a request for a corrective series of foundation lectures focussed on healing these educational flaws across relevant disciplines, graduating and practicing levels. This then is the first in this foundation series.
Only 40 years ago, the rate of technologically driven change was such that companies could re-organize efficiently and economically over considerable periods of time, but about 30 years ago this changed as the arrival of new technologies accelerated. We effectively moved from a world of slow periodic changes to one where change became a continuum. The leading-edge sectors were fast to recognize and adopt this new mode of continual adaptation driven by new technologies. This saw these ever more efficient and expansive companies dominating some sectors. For the majority, however, it seems that this transition was not recognized until relatively recently, and a so new movement was born under the banner of digitalization. This not only impacts the way people work, it affects company operations and changes markets, and it does so suddenly!.
Perhaps the most impactive and recent driver of change in this regard has been COVID which saw the adoption of video conferencing and working as a survival imperative in much less than a month. This now stands as a beacon of proof that companies, organizations, and society, can indeed change and adapt to the new at a rate previously considered impossible. The big danger for digitalization programmes now is the simple-minded view that there are singular (magic) solutions that fit every company and organization, but this is not the case. The reality is that the needs and culture of an organization are not the same and may not be uniform from top to bottom.
Manufacturing necessitates very steep hierarchical management structures and tight control to ensure the consistency of the quality of products. On the other hand, a research laboratory or design company requires a low flat management hierarchy and an apparently relaxed level of control. This is absolutely necessary to foster creativity, innovation, and invention. This presentation gives practical examples of management and organizational, extremes. We then go on to highlight the need to embrace AI and Quantum Computing over the coming decade to deal with future technologies, operating
and market complexity.
In a world of accelerating innovation and increasingly complex digital services, applications, appliances, and devices, it seems unreasonable to expect customers to understand and maintain their own cyber security. We are way past the point where even the well educated can cope with the compounded complexity of an ‘on-line-life’. The reality is, today's products and services are incomplete and sport wholly inadequate cyber defence applications.
Perhaps the single biggest problem is that defenders have never been professional attackers - and they don’t share the same level of thinking and deviousness, or indeed, the inventiveness of their enemies. Apart from an education embracing the attack techniques, and in some cases, engaging in war games, the defenders remain on the back foot However, there a number of new, an potentially significant, approaches yet to be addressed, and we care to look at the problem from a new direction.
In the maintenance of high-tech equipment and systems across many industries, identifiable precursors are employed to flag impending outages and failures. This realisation prompted a series of experiments to see if it was possible to presage pending cyber attacks. And indeed it was found to be the case!
In this presentation we give an overview of our early experimental and observational results, long with our current thinking spanning networks through to individual hackers, and inside actors.
Connecting Everything Vital to Sustainability
Mobile network evolution has followed a reasonably predictable path almost entirely focused on the needs of human communication. The transition from 1 to 2G was dictated by the economics of reliability, performance, and scale, whilst 3, 4, and 5G saw the transition to mobile computing with full internet access, AI and an ever-expanding plethora of applications. But 5G could be the end of the line as cell-site energy demands have become excessive at ~10kW.
Midway between the migration from 4G to 5G, M2M and the IoT machines overtook the human population of 8Bn people with near (estimated) 20Bn devices. Current IoT growth rates suggest a 40 - 60Bn population by 2030 to 2050. However, we present evidence that it could be far more ~ 1,000Bn ‘Things’. This is based on the observation of the number of IoT components populating modern vehicles, homes, offices, factories and plants, along with smart ‘human implants’ and ‘smart bolts’ plus the instrumentation of civil; structures.
The bold assumption that 5G would be a dominant player in the IoT is now patently one of naivety and the world has become far more complex with over 10 wireless standards currently in use. So, this poses the question; will 6G rise to the challenge? We see this as highly unlikely as the diversity of need is extremely broad, and we propose that it could be the end of tower based networks for a lot of applications. A migration to mesh-nets, UWB and (Hyper Wide Band) for the IoT at frequencies above 100GHz seems the most obvious engineering choice as it allows for far simpler designs with extremely low power at sub $0.01/device cost. 5G is already on the margins of being sustainable, and a ‘more-of-the-same’ thinking 6G can lonely be far worse!
For millennia we have crafted artifacts from bulk materials that we have progressively refined to produce ever more precision tools and products. Latterly, we have crossed a critical threshold where our abilities now eclipse Mother Nature. For example; the smallest transistors in production today have feature sizes down to 2nm which is smaller than a biological virus ~20 - 200nm. The implications for ITC, AI, Robotics, and Production are ever more profound as we approach, and most likely undercut, the scale of the atom ~ 0.1-0.4nm. Not only does this open the door to new technologies, it sees new and remarkable capabilities. So, in this presentation we look at this new Tech Horizon spanning robotics to quantum computing and sensory technologies, and how they will help us realise sustainable futures germane to Industry 4.0, 5.0, and beyond.
We are engaged in a war the like of which we have never seen or experienced before. Our enemies are invisible and relentless; with globally dispersed forces working at all levels and in all sectors of our societies. They are better organised, resourced, motivated, and adaptive than any of our organisations or institutions, and they are winning. This war is also one of paradox!
“The cost to many nations is now on a par with their GDP”
“No previous war has seen so many suffer so much to (almost) never retaliate”
“We are up against attackers who operate as a virtual (ghost-like) guerrilla army”
“No state can defend its population and organisations, and they stand alone - isolated and exposed”
“A real army/defence force would rehearse and play all day and very occasionally engage in warfare. We, on the other hand, are at war every day but never play, war-game, or anticipate new forms of attack”
To turn this situation around we need to understand our enemies and adopt their tactics and tools as a part of our defence strategy. We also have to be united, and organised so the no one, and no organisation, stands alone. We also have to engage in sharing attack data, experiences and solutions.
All this has to be supported by wargaming, and anticipatory solutions creation.
The good news is; we have better, and more, people, machines, networks, facilities, and expertise than our enemies. All it requires is the embracing of advanced R&D, leadership, sharing, and orchestration on a global scale.
In 2015/16 a number of bodies/nations set about defining societies they would aspire to in the near future. Each vision document similarly described some idealistic, egalitarian, super-smart, human centred, state providing a near uniformity of living conditions, and opportunity. At the same time, each society would be free of adversity, with economic development guided by ecological and human need. Of course, economic growth was defined to continue in line with the past. Very nice, but a product of old linear thinking and modelling!
It is now approaching 2022 and in the past 5/7 years our base silicon technology has advanced to enjoy a >30 fold increase in computing power. Our top end mobile devices would now challenge a super computer of 1996/7 era, whist AI systems now pervade our homes, offices, vehicles, professions and all our on-line services. At the same time, information overload has started to rival some medical conditions!
All of this has also been compounded by two years of COVID-19 lockdowns and restrictions that have seen the normalisation of social isolation, limited travel, working and eduction from home, virtualised medicine and care, support services, shopping and meetings. In turn, this has resulted in empty offices, towns and cities. Concurently, climate change, global warming, pollution, finite resources, a stressed planetary system, and social unrest have suddenly become urgent issues. Against this backdrop it really seems to be time to revisit those Society 5.0 Visions and the limited linear thinking that contrived them!
In this presentation we examine many of the core parameters and assumptions to highlight existing, or soon to be realised, solutions and remedies. In doing so, a different picture of Society 5.0 emerges.
The biggest force for social change since the first industrial revolution has been adjusting to, and taking advantage of, the new and accelerating capabilities of our advancing technologies. And in our entire history, the dominant technology driver has been silicon-based electronics. It has prompted revolutions in Computing, Telecoms, Automation, AI, and Robotics that radically changed the human condition. Today, that same exponential revolution is accelerating us into Industry 4.0 and onto Industry 5.0.
The consequential transformation of medicine, industrial design and production, farming, food, processing, supply and demand has seen living standards improve and life expectancy widen. Many of our institutions have also seen tech-driven transformations in line with industry. If there has been a down-side to this progression, it has been our inability to transform the workforce ahead of new demands. Unemployment has persisted whilst reeducation and retraining have been on the back foot, whilst, the net creation of new jobs has always exceeded the demise of the old. As a result, leading countries in the first world now have labour shortages at all levels right across the spectrum.
Recently, COVID-19 has demonstrated that we have the technology and we can rapidly reorganise and change society if we have to. So in this presentation, we examine ‘the force functions’ and changes engineered to date, and then peer over the horizon to sample what is to come in terms of technologies and working practices…
Throughout my career in science, engineering and management I attended numerous meeting where many misconceptions and misinterpretations were evident. Perhaps the most expansive and expensive were the probabilities assumed and calculated for system reliability and/or product manufacturing quality. Eventually, I began to refer to this as ‘five nines’ problem!
Not fully understanding the origins of the reliability measures, it is so easy to demand a 99.999% instead of 99.99% up time for an electronic system. What could be easier? At face value it appears to be trivial and straightforward! Likewise, taking a 5s manufacturing plant up to a 6s defect level turns out to be a monumental engineering challenge! And at the time of writing 6s has never been achieved!
It appears that to few engineering and management courses address this topic, and if they do, it is as a scant reference of insufficient depth. So, we see far too many students understand in any depth, if at all! And when they become managers they just ‘don’t get it’!
This presentation and the associated lecture have been specifically created to address this problem with relevance to BSc, BA, MSc and MBA students along with anyone needing a refresher or explicit introduction to the topic. In addition to the graphics, animations and movies, the lecture is also littered with practical examples and the outcomes of case studies.
Industries 1.0, 2.0 (and most of) 3.0, saw manufacturing and construction using natural materials readily extracted, refined, amalgamated, machined, and molded. In general, these exhibited fixed mechanical, electrical, and chemical properties. However, the latter stages of Industry 3.0 embraced synthetics exhibiting superior properties to afford new degrees of freedom in the design of structures and products.
Today Industry 4.0 sees further advances with metamaterials, dynamic coatings, controllable properties, and additive manufacturing. Embedded smarts have also made communication between components, products and structures possible under the guise of the IoT. Adaptable materials with a degree of self-repair are also opening the door to further freedoms and less material use. In combination, these represent a big step toward sustainable societies with highly efficient ReUse, RePurposing, and Recycling (3R).
At the leading edge, we are now realising active surfaces that can reflect, absorb, or amplify wireless signals, offer programmable colour, and integral energy storage. But amongst a growing list of possibilities, it is integral sensing & communication that may define this new era. In this presentation, we look at these advances in the context of smart design, cities & societies.
We are engaged in an exponentially growing cyber war that we are visibly losing. Within the next 3 years it has been estimated that the global cost will equal, or overtake, the UK GDP, and it is clear that our defences are inadequate and often ineffective. Malware and ransomer-ware continue to extort more money, and cause damage and inconvenience to individuals, organisations and society, whilst hacker groups, criminals and rogue states continue to innovate and maintain their advantage. At the same time, our defences are subverted and rendered ineffective as we operate in a reactive and prescriptive, after the fact, mode with no foresight or anticipation.
In any war it is essential to know and understand as much about the enemy as possible, it is also necessary to establish the truth and validity of any situation or development. Doing this in the cyber domain is orders of magnitude more difficult than the real world, but some of the relevant tools are now available or at an advanced stage of development. For example; fully automated fact checkers and truth engines have been demonstrated, whilst situational awareness technologies are commercially available. However, what is missing is some level of context assessment on a continual basis. Without this we will continue to be ‘blind-sided’ by the actions and developments of the attackers as they maintain their element of surprise along every line of innovation.
What do we need? In short ; a Context Engine that continually monitors networks, servers, routers, machines, devices and people for anomalous behaviours that flag pending attacks as behavioural deviations that are generally easy to detect. In the case of attacker groups we have observed precursor events and trends in network activity days ahead of some big offensive. However, this requires a shift in the defenders thinking and operations away for the reactive and short term, to the long term continual monitoring, data collection and analysis in order to establish threat assessments on a real time.
The behavioural analysis of people, networks and ITC, is at the core of our ‘Context Engine’ solution which completes the triangle of: Truth; Situation; Context Awareness to provide defenders with a fuller and transformative picture. Most of the known precursor elements of this undertaken have been studied in some depth, with some behavioural elements identified on real networks and some physical situations. The unknown can only add more accuracy!
In a world that appears riven by social media, ill-informed opinion, rumour, and conspiracy theories in preference to facts and established truths, it can be alarming to see scientists, doctors, and engineers challenged by vacuous statements that often hold sway over the hard-won truths of science. Moreover, large numbers of people do not understand the ‘scientific method’ and what makes it so powerful.
Paradoxically, those challenging science and scientists based on their belief systems do so using technologies that can only be furnished by scientific methodologies. For sure; no religion, belief system, great political mind, anarchist, professional protester, or social commentator will produce a TV set, mobile phone, laptop, tablet, supercomputer, MRI Scanner, AI system, or vaccine! But they will criticise, challenge, and be abusive based on their ignorance and inability.
So, this is the world that now influences the minds of young aspiring students, and this presentation is designed to go beyond the simple exposition and statement of the scientific principles and method, to provide an ancient, modern, and forward-looking perspective. It also includes a complex ‘worked example’ to highlight the rigour that must be applied to establish any truth!
Our communications history is dominated by fixed networks of bounded linear predictability. These were based on precise engineering design giving assured information security, and measured operation. However, mobile devices, internet, social networks, IP, and Apps changed all that! Internets are inherently non-linear, unbounded, and essentially designoid — that is, mostly shaped by evolution, steered by demand/rapid innovation - highly adaptive and ‘learning’ in real time.
So, those who suppose we can control such networks to fully guard and protect the information of institutions and individuals are sadly mistaken. And further confounded by Industry 4.0 and the Internet of Things (IoT). Here, a mix of the information of individuals and things, is distributed across the planet on a scale far larger than ever conceived in the past, to become essential components in the survival of our species in realising sustainable societies.
Not surprising then, Privacy and Data protection are big issues for regulators, governments and civil liberties organisations. But so far, nothing has worked, and we see the UK Data Protection Act, EU-GDPR, EU-USA Shield, and Copyright Laws often ignored or worked around. These are largely derivatives of a paper based world and a pre-computing world are now largely unfit for purpose.
This presentation was created in support of a short keynote for ICGS3-21 (14-15 Jan21) UK to purposely highlight the reasons why we are losing the cyber war and what we have to do to win. The approach adopted quantifies the key weakness and shortcomings of our current defence strategies to give pointers to a more secure future.
In postulating remedies, we purposely fall back on the wisdoms of Sun Tzu and The Art of War to highlight and explain the meaning and implications of quoted insights (below) and their pertinence to modern cyber wars/security.
“To know your Enemy, you must become your Enemy”
In this way, we go beyond opinion and suspicion by quantifying the scale of the individual elements of the cyber security equation using a variant of Drake’s Equation. This gives us a good estimate of the scale of the problems we face. Beyond this we highlight some cultural and political issues that need urgent attention.
Finally, we link to comprehensive presentations going back to 2016 that detail specific Red and Blue team exercises thinking and preparation. These themes were invoked to widen the awareness and thinking in the student body @ The UoS.
In this lecture is the final session of an extensive wireless course delivered over several weeks at the University of Suffolk. So, by way of ‘rounding-off’ the series, we chart the progression of wireless/radio communication from the first spark transmitters through Carrier -Wave Morse, AM, FM, DSSC, SSB to digital systems along with the use of LW, MW, SW, VHF, UHF and Microwaves. Whilst we focus on Electro-Magnetic-Waves from 30kHz through 300GHz, we also mention optical, ultrasonic, and chemical communication as additional modes.
Our examinations detail the distinct genetic trails of 1, 2, 3G, and 4, 5G, the approximate development cycles/timeline along with distinctive changes in design thinking. We then postulate that 6 and 7G are likely to form a new line of development with 6G probably realised without any towers or any conventional cellular structure. In this context we also point out that there are no digital radios today, only traditional analogue designs with ‘strap-on-modems’ at the transmitter and receiver. Perhaps more radically, we suggest that it is time to adapt fully digital designs that allow for the eradication of the established bands and channels mode of operation.
We also chart the energy hungry progression of systems from 1 through 5G where tower installations are now consuming in excess of 10kW due to the extensive signal processing employed. This immediately debunks any notion of another step in the direction of more bandwidth, lower latency, greater coverage with >20x more towers (than 4G) and >250Bn power hungry smart devices. In short: we propose that 5G is the last of the line and the realisation of 6G demands new thinking and new modes that lead us away from W and mW to µW and nW wireless designs.
Whilst most of the technology required for 6G is available up to 300GHz, there remains one big channel in respect of the growing number of antennas per device and platform. Even for 3 - 5G + WiFi + BlueTooth space is at a premium in mobile devices and fractal antennas have not lived up to their promise too integrate all of these into one wideband structure. However, at 100GHz and above, antennas/dipoles become less than chip size and can see 10s included as phased arrays. But this all needs further work!
Throughout this lecture, we provide examples, demonstrations, and mind-experiments to support our assertions.
It has been estimated that the global earnings of Cyber Criminals will equal or exceed the GDP of the UK sometime in the 2022/23 window. If this was the capability of a country they would be joining the G8! Clearly, we are losing the Cyber War hands down, and the time has long passed when we might ignore the threat scenarios surrounding us.
In this lecture we examine global networks from home and office through the ‘last mile,’ and on to national and international networks to identify the key vulnerabilities and points of potential ingress. We identify the cyber risks as escalating as we approach the periphery of all forms of network. For the most part, the core/carrier networks are virtually unassailable physically as they are dominated by terrestrial and undersea optical fibre cables.
Throughout the ‘carrier’ network levels the difficulty of physical interception, encryption, routing, and path diversity employed renders them secure in the extreme. Attackers, therefore, tend to focus on the exploitation of people, devices, services, home, and office appliances, and latterly, a poorly engineered IoT.
In reality, we are expanding the attack surface of the planet exponentially without due caution or care in the most exposed sectors and locations. And so, we explore potential tech and operational solutions for the future.
NOTE: This lecture is one of a series that has examined technology design and deployment, devices and the IoT, people fallibility, deviousness, internal and external threats.
In class; RED and BLUE Team Exercises have also been conducted in support of the complete Cyber Security Package to date.
Every Industrial revolution has seen the progression from people dominated design, build and production to a higher degrees of automation that has gone hand-in-hand with shortening timescales enabled by ever-more powerful technologies. However, at a fundamental level the process has remained the same, but it is now edging toward a continuum of evolution as opposed to a series of discrete jumps that often trigger company reorganizations. In concert, there is a realization abroad that it is no longer about the biggest, the strongest, the best, or the fittest, it is now all about the survival of the most adaptable.
By and large it is relatively easy to predict when and where tech change will occur and the likely outcomes, in terms of existing and future products and services, but how people, customers, companies and societies will react is an unsolved puzzle. On another plane, competition and threats may well occur outside the sector, from a direction managers are not looking, by entirely new mechanisms, and at a most critical time. These are all challenges indeed!
How to adapt to, and cope with these collective challenges is the focus of this presentation which is illustrated and supported by past and present industrial cases along with the experiences and methodologies of those who have driven/weathered this storm as well as those who failed. Many of the illustrations are automated and there are exemplar movies and segue inserts throughout.
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Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
2. S H O R T D e f i n i t i o n
O F E N G I N E E R I N G
“The appliance of Science”
“Achieving more with £1 than a lay person might with £100”
3. D I F F E R E N C E
W R I T L A R G E ( 1 )
“Whilst Scientists are free to declare that there is
no solution to a problem…Engineers enjoy no
such luxury - we always have to find a solution
even if it is wrong”
Guess
Iterate
Analogies
Approximate
Experiment
Compute
Consult
Model
Trial &
Error
4. D I F F E R E N C E
WRIT LARGE (2)
“Problems are alway urgent
with limited time
and funding”
“Problems come thick and
fast - there is seldom
time to ponder”
5. D I F F E R E N C E
WRIT LARGE (3)
“Engineers enjoy a supreme arrogance that says;
we know that time travel and free energy
are impossible, but everything else
we can do given the time and
resources”
6. AND SO IT STARTS
WITH A CALL OUT
O F T H E B L U E
“We have 3 machines that
cannot be exhaustively tested
- can you come up with a means of
quantifying their relative intelligences?”
7. STATE OF THE ART
PUBLISHED Studies
Incredibly broad
(spanning machines and many biological lifeforms)
Worryingly simple
(at a macro level of memory and processing power) M .P
Unbelievably complex
(at a micro level of neurons, connectivity at scale) Modelling dendrites,
neurons, synapse,
axons +++
8. 26 Jun 2020 — Moravek and Kurzweil’s human brain
estimates ~ 1016 Tlops = 10 PFlops
UNCERTAINTY
and CRUDITY
Human Brain
Equivalence
Estimate
9. Human brains are clearly more complex than many
realise - both analogue and digital, combining
computing & memory within each neuron
THE DAWN
OF REALITY
Human brain ~200 billion neurons linked by
trillions of synapses containing ~1000
switches routing electrical impulse
The ‘switching’ of neurons in influenced
by > 50 different chemicals
Some evidence of Quantum effects have also
been reported recently
10. Way beyond anything conceived and built by man
and in no way resembles an electronic computer
- moreover, it is distributed across the entire body!
HUMAN
B R A I N
Human brain ~1011 neurons linked by ~102 - 105
Human body ~ has yet to be charted!
11. ERROR BARS REPORTED
on ABSOLUTE ESTIMATES
Span Factor ~ 102 to 105
From an engineering perspective this renders all such results as useless unless
significant improvements can be realised…which appears to be highly unlikely!
12. Problem
AT Scale
This
may never
fully
understand
This
Dissection, Modelling,
Experimentation
So far we have a wiring map,
+ some models of individual
functions, but full life cycle
understanding remains a
, mystery!
~10^11 Neurons
~300 Neurons
13. AXIOM
This
will never
understand
This
Vis Thermodynamics
This is increasingly becoming apparent, and we most likely
need the help of Quantum Computers - but that is not going
to happen for decades!
14. K i l l e r
ProbleM
We cannot describe, accurately
quantify or measure intelligence
in any form !
15. ABSOLUTE ESTIMATES
OF ’N' INTELLIGENCES
An incredibly broad span of machines and biological lifeforms
From worryingly simple minded assumptions
(at a macro level of memory and processing power alone)
To unbelievably complex modelling
(at a micro level of neurons, and large scale connectivity)
16. “An ability to learn from experience and to adapt/shape, selected environments”
So, What about
p h i l o s o p h Y ?
All are of a general (descriptive) form:
“A capacity for abstraction, logic, understanding, self-awareness, learning, emotional
knowledge, reasoning, planning, creativity critical thinking, and problem solving”
+
+
+
+
From an engineering perspective all such descriptors are useless!
“The faculty of rational behaviour”
“The capacity to experience feelings and sensation”
>1000 years of thinking & debating
sees >150 intelligence definitions
17. Alfred Binet IQ Test 1909 ??
"Philosophers have given their moral approval to the deplorable
verdict that affirms human intelligence is fixed, and cannot be
augmented. We must protest against this brutal pessimism; we will
try to demonstrate that it is founded on nothing"
A test of a machine's ability to exhibit intelligent behaviour,
equivalent to, or indistinguishable from, that of an actual human
based on a natural language conversation. All participants are
separated. If the judge cannot reliably tell the machine from the
human, the machine is said to have passed.
Alan Touring IQ Test 1950 ??
Z E R O W O R T H
I R R E L E V A N T ?
19. T u r i n g T E S T
“The good news Dave, is that the
computer’s passed the Turing
Test, but you have failed”
GO
Poker
Chess
Complexity
Mamagrams
Comp Games
Protein Folding
Medical Diagnosis
Composing Music
Drawing/Painting
Circuit Design
Data Analysis
Transcription
Chip Design
++++
Machine learning and rule creation have
overtaken human programming for AI
20. H U M A N I S I N G
I N T E R F A C E S
Human-AI voice interactions now the
norm and getting better by the day!
21. P H I L O S O P H E R S
WERE VERY WRONG
Their opinions did/do not stand
up to scientific scrutiny big time!
22. C O M M O N
E R R O R
The attributes of physical dexterity, flexibility,
mobility, communication, intelligence and
evolved to meet the specific demands of
given environments - many of which we
(humans) cannot survive in!
Our specific human capabilities and attributes
were tuned by evolution to meet the physical
opportunities and limitations of surface living
on planet earth - not in water, air or space!
“Speciated superiority is a nonsense”
23. F r o m N a r r o w
T O G e n e r a l A I
O NTO S E NT I E N CE
C o m p u t i n g / I T p r o g r e s s i o n : t a s k
s p e c i f i c t o g e n e r a l p u r p o s e - P C !
“ T h e s i n g l e b i g g e s t m i s t a k e t h e
A I c o m m u n i t y h a v e m a d e i s t o
a s s u m e h u m a n s a s s o m e g o l d
s t a n d a r d r e f e r e n c e o f a b i l i t y
a n d / o r p e r f o r m a n c e f u n c t i o n ”
“ B u i l d i n g a n a r t i f i c i a l h u m a n
b r a i n i s a n i n t e r e s t i n g t a r g e t ,
b u t c r e a t i n g n e w i n t e l l i g e n c e s
i s a f a r m o r e i m p o r t a n t / u r g e n t o n e ”
24. All biological brains evolve slowly are now more
or less in stasis - in comparison our technology
is advancing exponentially - so equivalence is
not a question of IF, but WHEN ?
W H A T W E
D o K N O W
-100M -1M 1940 1990 2040
-103
-106
-109
-1012
-1015
-1018
FLOPS
Biological intelligence
has now ‘flat-lined’
Tech induced intelligence has only
recently reached a critical growth
stage and is exponential
25. “As a species our dependence on AI is
now total - and societies can no longer
function without this core technology”
W H A T W E
D o K N O W
26. Transformation OF THE
C o m p l e x to S i m p l e ( R )
“Estimating the comparative
intelligences of similar
‘animals’ might just be a lot
easier, far more accurate,
and far more useful given the
stated problem set !”
Note: For the same starting conditions (biology or technology) the error bars are generally negated,
or greatly reduced for dissimilar entities for a given ratio calculation!
Concatenation
to Division of
Error Bars!
27. A R R O G A N C E I S N O T
UNIQUE TO ENGINEERS
Samuel Johnson 1709 -1784
English critic, biographer, essayist, poet,
and lexicographer, compiled/published
the first English Dictionary
SO, I started by ‘doing a Dr Johnson’
and defined intelligence!
“Intelligence is the way I define it
and not what others consider it to be”
My misquote!
28. A L L P h y s i c a l
& M e ta p h y s i c a l
E X P E R I E N C E S
Life introduces physical order into a system
Intelligence transforms information in systems
Both introduce Positive Entropy into systems
Ergo; Life and Intelligence are strongly related
29. H Y P O T H E S I S
C O N C AT E N AT E D
Life => an emergent property of Complexity
Intelligence => an emergent property of Life
Sentience => an emergent property of Intelligence
Complexity => an emergent property of Clustering in Chaos
Complexity & Chaos => the ground state of our non-linear universe
30. H Y P O T H E S I S
C O N C AT E N AT E D
This is suggested, and increasingly,
supported by a growing body of evidence
Life => an emergent property of Complexity
Intelligence => an emergent property of Life
Sentience => an emergent property of Intelligence
Complexity => an emergent property of Clustering in Chaos
Complexity & Chaos => the ground state of our non-linear universe
31. Nature v Man/Machine
Mother Nature: Chance action
- no intelligence required!
Mankind: Purposeful
intelligence applied!
Machine: Mankind /AI application
of intelligence and mechanisms!
32. C o n c i s e
d e f i n i t i o n
Intelligence = Directed (or Forced) System Entropy
I later realised Efficacy to be related to some IQ
measure, whilst at the same time recognising
that IQ is actually worthless as a measure :-(
33. A P O I N T O F
C L A R I T Y
Intelligence = I = IEi - EoI
As intelligences can both increase or decrease the system Entropy;
we redefine in terms of the Modular value…
At this point we had something
that might just work!
NOTE: Entropy E = The information required
to exactly define the
state of the system
34. A P r o c e s s i o n o f o r g a n i c
a n a l o g u e s n o w f o l l o w e d
i n o r d e r o f i n c r e a s i n g
c o m p l e x i t y …
35. Actuator
A
System
Environs
Sensor
S
T h e s i m p l e s T
S ta r t i n g P o i n t
A single and simple biological
cell or slime mould
A thermostat or light sensitive
switch
No signal/state processing
or memory
36. C O U N T E r
C A N D I T I O N
No signal/state processing life form with
hunting and complex problem solving
capabilities - simple elements combining
to create complex/intelligent organisms
37. Actuator
A
System
Environs
Sensor
S
A D D I T I O N
O F M E M O R Y
Memory
M
Venus Fly Trap + many
other carnivorous plants
A programmable thermostat
It is not exactly clear if any signal
processing is necessary as a discreet
function but this ‘hic-up’ conveniently
turns out to be unimportant !
39. I M P O R T A N T
R E VE L AT I O N
Long term comatosed hospital patients
appear brain dead due to a lack of I/O
- ie Sensors and Actuators
Clinically Dead
- No eye movement
- No reflex action
- No bodily responses
40. I M P O R T A N T
C O N D I T I O N A L S
These are really helpful/vital in setting
the bounds on the form of our final
solution and our analysis direction
Intelligence = 0 Iff
P + M
S + A = 0
Intelligence ≠ 0 If = 0
Without any I/O - Sensory/Actuator
faculty no intelligence is evident
Without any Processing or Memory
intelligence is still possible
44. Where: s, p ,m, a are complex temporal operators
that cannot in general be fully defined or detailed
Actuator
A
Processor
P1
System
Environs
Processor
P2
si
i
o
p1 si
(1 + m) p1 si
Sensors
S
.
Memory
M
A s s u m i n g A
Nomenclature
a(1 + m + p1 p2 + p2 m p1 ) si
45. Ic = I Ei - Eo I = I Ei ( si ) - Eo ( a[1 + m + p1 p2 + p2 m p1 ] si ) I
Where: s, p ,m, a are complex operators that cannot,
in general, be fully defined or detailed
E N G I N E E R I N G
LICENCE APPLIED
We simply neglect/ignore/hide the
time variability of all the functions
and mask it with a new formulation
Comparative
Intelligence
46. Ic = I Ei - E[a.s ( 1 + m + p + mp ) ] I
E N G I N E E R I N G
LICENCE APPLIED
C o m b i n i n g s i m i l a r c o m p l e x
o p e r a t o r s f o r t h e e a s e o f
manipulation and explanation
47. A P O I N T O F
C L A R I T Y
Intelligence = I = IEi - EoI
As intelligences can both increase or decrease the system Entropy;
we redefine in terms of the Modular value…
At this point we had something
that might just work!
NOTE: Entropy E = The information required
to exactly define the
state of the system
48. Finally, we have something meeting
all our practical bounds and limiters
that we can work with in practice
Ic = k log2 [1 + K.S.A (1 + P + M + P.M ) ]
System Constants
Ic ~ k log2 [1 + K.S.A (1 + P.M ) ]
For P.M >> (P + M)
C o n c e p t u a l
ENTROPIC LEAP
This resemble the Shannon-Hartley
theorem in Information Theory
49. A P R I M A R Y
IMPLICATION
We are not racing toward a singularity as
fast as people have previously projected
Increasing S. P. M. A by a factor of 1000
would only see intelligence grow 10 fold due
to the logarithmic nature of intelligence !
51. Computing
Power
1960 70 80 90 2000 10
MIP/s
A Wider Set
of AI Estimates
EXPONENTIAL
V logarithmic
20
Intelligence
Level
52. i n < 4 0 Y e a r s
~ 1,000,000,000 x chip capacity
Processing
Memory
Sensors
MacBook Pro >50Bn transistors
iPhone = ~15Bn transistors
IBM > 30Bn transistors/chip
Feature size now ~ 5nm
53. i n < 4 0 Y e a r s
~ 1,000,000,000 x chip capacity
Processing
Memory
Sensors
Adapta
bility
Softwa
re
Compl
exity
Auton
omy
AI
Processing
Memory
Sensors
Manipulators
Communication
Networking
MacBook Pro >50Bn transistors
iPhone = ~15Bn transistors
IBM > 30Bn transistors/chip
Feature size now ~ 5nm
54. i n < 4 0 Y e a r s
~ 1,000,000,000 x chip capacity
~Dog Brain
~Mouse Brain
~Human
Brain
There is far more to intelligence
than a very crude analogy to transistor
- neuron equivalence and count, but this serves to
indicate one reason why AI has been along time coming !
Processing
Memory
Sensors
Adapta
bility
Softwa
re
Compl
exity
Auton
omy
AI
Processing
Memory
Sensors
Manipulators
Communication
Networking
MacBook Pro >50Bn transistors
iPhone = ~15Bn transistors
IBM > 30Bn transistors/chip
Feature size now ~ 5nm
55. G A M E C H A N G E R 2 0 1 2
Considered to be impossible by philosophers
Medicine today
I B M W a t s o n
56. G A M E C H A N G E R 2 0 1 4
Considered to be impossible by philosophers
60. Exemplar
N e w C r e a t i v i t y Criticism
It is just copying and
aping what human
composers have done !
Retort 1
You mean exactly
like human
composers do ?
Retort 2
AI has only just got
into this game that
humans have be at
for well over 3M years
62. Ic ~ k log2[1 + K.A.S {𝜇 + P (Ms + Ml }]
The I/O elements A.S
shape our perception
of experiences at the
most fundamental and
Processing
and reflexes further
refine all perceived
activity & experience
(P + 𝜇)
Ml
Long Term Memory
provides context &
central awareness in
t i m e & s p a c e o n
relational axes of who,
what, when, where why
The Seat of Sentience ?
S O W H E R E I S
S E N T I E N C E ?
Ms
Short Term Memory
provides almost ‘unthinking’
functionality, largely free of
context, could be likened to an
auto-pilot!
For the human brain/body it appears to
be dominated by long term memory that
is distributed throughout the structure &
most influenced by sensory activity
63. S O W H E R E I S
S E N T I E N C E ?
F U R T H E R
A N A L Y S I S
The mathematical framework sufficient to
tackle the stochastic complexity in the round
may not yet exist/may be impossible…