UbiNET Smart Living IoT3

UbiNET Smart Living Platform Use Cases

The UbiNET platform is a unified framework that considers all aspects of future living and is intended to deliver solutions that move humanity on from dealing with mundane transactional activities into Smart Living where these transactions are hidden behind the scenes. The system provides absolute identity of everything, absolute ownership and absolute value.

Below are several use cases;

Ownership – when an item is purchased it becomes added to several new ecosystems through its embedded micro sensor; individual, family, community

While it may be considered that as resources become more scarce ownership will become much reduced and shared resources more common (including telecommunication devices like mobile phones) as profile identities become portable however ownership will continue to be a focus for some time. The adoption, usage and recycling of material and energy of every item will become more and more critical to the world over time.

Recycling – an item lifecycle is monitored from creation to recycling, items that are not recycled retain a relationship with their last individual owner or other structure like business/organisation.

Unfortunately the notion of law is for some an imposition on them rather than the glue of society where they consider their choice to be destructive a right, it’s not. Rights are created by societies and their boundaries agreed in societies underwritten by laws and law enforcement. The UbiNET platform is agnostic on by who and how societies laws are enforced only that citizens should be accountable for their actions to the society they live in and affect. One key accountability is recycling and the full lifecycle of products. While this may seem invasive its already highly common for consumers to give this data to stores as part of the purchase transaction where they are rewarded with loyalty points. The stores in turn utilise this data for product manufactures and to understand store dynamics.

Identity and Value – items that are not recognized as being part of an ecosystem may not join one. Without full lifecycle data, the item will be considered to have no value, fraudulent or stolen.

Absolute identity of items creates huge value to consumers and businesses alike, it removes all fake goods from the supply chain and establishes brand and product trust. For business the benefits are clear by removing fake products that damage their brands or create a risk to consumers. Many people will think of handbags with this, yes but what about fake airplane parts or baby milk? While these items can be traced, businesses who make them can also be traced.

By using an inverse data analysis, a home or other place can detect a person that has no recognizable items and consider them a threat. They will not be allowed access and become the focus of Law Enforcement.

Personal and family security continue to be a major issue, the absolute identity of everything will also include people (concerned about human rights, read on). The right to be anonymous has never existed in any society. Since the 1950’s governments have focused on identifying its citizens, the difference with UbiNET is it identifies everyone. It does this through the micro sensors embedded in everyones clothing which will be different each day (we can’t share how this works for obvious reasons) and our twin AI blockchain. Suffice to say the UbiNET creates a proactive security net over the areas in which it is deployed.

Usage – two items in common use are guns and bullets, although an advanced sensor would be required is would be possible to create zones where bullets would not fire from guns as UbiNET would instruct the bullet to fail. There are a number of complexities around this use case, however given the complexity of building bullets even self-loader ammunition can have sensors added to the ignition cap.

This last use case involves Generation 2 of sensors, which we have not even started designing yet however the concept is sound based upon the deployment of UbiNET.

The above use cases are just the start, we already have financial services and medical use cases not listed which will be in our white paper for our crowdfunding launch of ThingCoin see ThingCoin as a SAFT release schedule now in tranche 1.

Pi-UbiNET

UbiNET Inc. has incorporated as a subsidiary of Paradigm Interactions Inc.

Last week Paradigm Interactions Inc. created a new subsidiary UbiNET Inc. set up as a stock corporation to support several funding rounds to deliver it’s global technology, data and service platform. This change in strategy is due to an over subscription for Series A investment which has created a focus on investors outcomes.

The formation of UbiNET Inc. will have no immediate impact on staffing and facilities but it is intended to focus R&D on the open network ecosystem protocol already filed at USPO.

The CEO of Paradigm Interactions Karl Smith described this change as “it’s fundamental that we have the business structures in place to enable investors to have clarity around their participation” further “having worked in global M&A and with VC funded start-up’s, I recognise that a good idea needs to be supported by and understanding of how to facilitate investment, engagement and exit”.

Further details will be published here.

Karl Smith Tech Leaders Today CEO Paradigm Interactions Inc UbiNET

#UX #IoT and #Blockchain with #KarlSmith of Paradigm Interactions Inc

, , and with Karl Smith of Paradigm Interactions Inc.

Karl Smith is an inventor of open network UbiNET which he has patented and a holistic transformation consultant more involved with how humans have to deal with technology than the technology itself. Karl Smith is also former Global Head of Mobility User Experience at Accenture and Partner (founder), Global Head of Digital Design at Wipro Digital, current Chairman of the Human Centered Design Society and has relaunched or launched Design as a USP in several global enterprises.

Karl has always been fascinated by how technology can augment the lives of humans, his desire was not to build things that humans already do but to find out how technology could evolve all human experience. He is still looking for the Gene Roddenberry future today where humanity pulls together and projects all of us the next stage of evolution. Transformation is at core of this evolution; he’s highly engaged in Ubiquity or the IoT as it is a gateway point.

UbiNET Inc.

#IoT3 #SmartTechnologies to #SmartLiving

Trajectory from Smart Technologies to IoT Ecosystem and on to Smart Living

Something few people have grasped yet is that to get from Smart Technologies to Smart Living (Ubiquity) is a progression, not just in sensors, networks and device thinking, but also in ecosystem and task (to discern if they are even relevant not just the form of them) thinking. As with every other revolution not only does time and people change the meaning of the revolution they also change the trajectory.

At the Global 5G Test Summit at MWC17 in Barcelona the panel was asked what services will 5G bring, extend or establish as the killer services, quite rightly the panel answered that the key services of 4G were not known until the network capability was in place and they evolved by adoption, not by strategy alone.

Three Stages of IoT Evolution

IoT Smart Technologies, #IoT1

Smart Technologies relates to limited networks of control actions, sensors and rules setting devices around a small number of tasks, specific locations or limited markets. They can be added to relatively easily but ultimately can’t manage a whole ecosystem, without replacement. An example would be managing home based utilities; there are already many systems that manage, heating, lighting and security in one system. These systems don’t manage the whole home and all the tasks in a home, so don’t manage the Home Ecosystem. They are also restricted to non complex tasks that that have binary or stepped rules for controlling tasks. For example setting the heating times, temperature, managing lighting, responding to a proximity alert for security, that can be locally or remotely set and observed.

IoT Closed Ecosystems, #IoT2

Closed Ecosystem IoT relates to a fully integrated system of several types of network including machine to machine M2M, machine to human M2H and machine to data system M2D through an application gateway. Additionally these networks provide pre-connected and situational relationships dependent upon tasks, locations and users. An example would be a Home Ecosystem, again as this is the most likely location to get investment at this point in human society.

All possible actions and interactions within a home, including disallow rules (security and safety), policies related to sensors and personal ecosystems are defined and can be added to by users with the correct rights (on matters of safety for example only Parents would have the rights to set safety rules). Every sensor device (item group made from many items with a micro sensor), task (with an outcome) and activity (outcome not essential), item (everything not an item group or a device) can be included in the ecosystem. Personal ecosystems (personal avatar plus id, agenda, voice print, payment), location ecosystems (kitchen, living room, garden etc.) and an Adoption / Attribution Ecosystem (to manage purchase, transit and adoption).

An example of a task would be, an item group close to arrival (washing machine), then arrives, the Home Ecosystem advises a Parent Ecosystem of arrival through audible or voice alert, the Parent working in the garden greets the delivery vocally while remaining in current location and opens the door. The delivery staff enter the property, confirm they are fitting the item group, when it is connected the House Ecosystem sends a request to the Parent Ecosystem, “diagnostics good, adopt?” the Parent says “Adopt”, the House add the item group to the Kitchen and Parent ecosystems and the House Ecosystem “Owned, Working, Value” and updates the Insurance provider, the fitters get a message Adopted and then leave. The Parent rates their service. While this is a simplified view and there are several other M2M processes that happen it shows that a closed Home Ecosystem enables the simplification of process and the ability for remote management of otherwise time consuming and stressful tasks.

IoT Smart Living, Open Ecosystems, UbiNET #IoT3

Open Ecosystem IoT is an evolution of IoT2 that enables an end to end lifecycle management of all items and item groups from material, through creation, use, disposal and recycling. It is not vested in Home only but also in Communities, States, Nations, Internationally and at Planet Level. It fundamentally changes our interactions, behaviors and relationship to work, institutions like banks and security.

#SmartLiving Payment Scenario – while having a coffee with a friend in their house a person sees a nice bowl and says, ‘buy bowl’. Their personal network checks the area and finds three bowls (items), it asks ‘white bowl’ the person says ‘Yes’ the bowl is ordered based upon the person’s personal preference which could be Speed, Price, Color or anything else, for this scenario it’s Speed the Protocol locates the nearest supplier and orders it for immediate delivery. The person carries on chatting and the bowel is delivered to their home and is waiting for when they get home. Payment is automated, they unpack look at the bowel and say, ‘Great Condition’ and feedback allocated is allocated to the carrier, the product and the supplier.

#SmartLiving Recycling Scenario – an item lifecycle is monitored from creation to recycling items that are not recycled retain a relationship with their last individual or other (structure like business or organisation) if should be but not recycled that relationship informs state and national law enforcement.

#SmartLiving Ownership Scenario – when an item is purchased it becomes added to several new ecosystems, individual, family, community, state and nation (if bought outside individual’s country of origin) advising national law enforcement of their status.

#SmartLiving Advance Security Scenario – items that are not recognized as being part of an ecosystem may not join one. Without full lifecycle data, the item will be considered to have no value, fraudulent or stolen. By using an inverse data analysis, a home or other place can detect a person that has no recognizable items and consider them a threat. They will not be allowed access and become the focus of Law Enforcement.

UbiNET Copyright © 2001 Paradigm Interactions Inc.

UbiNET is the Paradigm Interactions Inc. test platform also called Project Charlemagne using 5G and 6G concept where we are building scenarios for IoT3, linking blockchain, sensors and artificial intelligence, which forms the bases of the Open Network Ecosystem Protocol, patent.

Related Articles on Paradigm Interactions

Situational awareness drives the IoT ecosystems and interactive landscape not visual interfaces

The foundation for this thinking goes back to a notion of the ‘social life of things’. If things themselves exist and have a number of trajectories and states then those things also potentially have accessible and useful human touch points in the IoT.

Much of the interactions we humans have become used to are in fact simple touch-points to hidden and complex interactions within dispersed and non-interlinked (at the core) technology systems. This simplification process of creating a directed visual presentation layer enables us to maintain a simplified mental model around our interactions. However in IoT technologies the additional integration of voice, touch and thought require a full understanding of the primary cognitive models for each IoT device and an associated and integrated cognitive model, possible clashes or drop outs and load descriptions (for each constantly changing eco-system) by Thing and Cognitive Group. Only then can an interface be defined.

situational networks with IoT devices services and humans

Above is a visual description of a set of Things available with a person walking through them projecting themselves, a simple human journey. However working in a local model gets the notion of Things and Cognitive Groups across. Each colour group represents a Thing, attempting to get our attention, each Thing does something different, a different set of interactions, activities, behaviours and outcomes. They can talk to each other or ignore each other. The person traversing the real world and IoT landscape walks through several fields of interaction, each time they enter a new field it communicates to them, availability, interaction, messaging (branding, cries for attention, warnings etc.). The first position P1 three touch-points seek engagement, by P2 it’s six touch-points, in P3 five touch-points seeking engagement.

There is no requirement for visual interfaces, in fact audio, smell or touch (vibration or texture) are more likely and in fact desirable to create the ambience for localised interaction and mental association.

Further the current cognitive models associated with the digital existence of tangibles may need to be reconsidered in the context of the IoT as it amalgamates previously separate constructs. It could simply be that the detailed component view we have constructed around daily interactions is no longer valid and we can simplify not only our interactive behaviour but also our descriptors by moving them to high level (directional and instructional avatar) understood constructs rather than the detailed process models we tend to use to live.