A functional look at Interpolative Scope and its proposed capabilities , Story #1 Specifications in Glass, including Engineering Problem Dialogue, Vendor and Customer Profiling, future Prototype Justification Process next
A functional look at Interpolative Scope and its proposed capabilities , Story #1 Specifications in Glass, including Engineering Problem Dialogue, Vendor and Customer Profiling, future Prototype Justification Process
Interpolative Scope v4 Justification of Prototypes AugmentedBrij Consulting, LLC
A functional look at Interpolative Scope and its proposed capabilities , Story #1 Specifications in Glass, including Engineering Problem Dialogue, Vendor and Customer Profiling, future Prototype Justification Process and augmented for some design changes
We now have larger Knowledge Bases than ever before. (10 billion facts is now a small number).
We now have the instruments to observe and analyse these very large Knowledge Bases.
We can use these insights for better tools for querying, inferencing, publishing, maintaining, visualising and explaining.
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Moving toward Intelligent Design Through Mu Sic, the transforming process of writing a new kind of delivery of product through a portal arrangement in Glass
Part I: Meta Based Interpolations
Meta dimensional template for interpolation of virtual objects and portal arrangements; convert between the ark design to binary using a normalization pattern. Converting a meta based company to glass (hyD case study)
Advantages to Industrial Physics and Digital Portals in Developing Green Technology and Remote Building, increasing Industrial Scale and Reclaiming Legacy with Advance Science...Revised in Financial Planning
A functional look at Interpolative Scope and its proposed capabilities , Story #1 Specifications in Glass, including Engineering Problem Dialogue, Vendor and Customer Profiling, future Prototype Justification Process
Interpolative Scope v4 Justification of Prototypes AugmentedBrij Consulting, LLC
A functional look at Interpolative Scope and its proposed capabilities , Story #1 Specifications in Glass, including Engineering Problem Dialogue, Vendor and Customer Profiling, future Prototype Justification Process and augmented for some design changes
We now have larger Knowledge Bases than ever before. (10 billion facts is now a small number).
We now have the instruments to observe and analyse these very large Knowledge Bases.
We can use these insights for better tools for querying, inferencing, publishing, maintaining, visualising and explaining.
Mu sic in the Advancing Age v2 Staging the Instance in Digital PlaitBrij Consulting, LLC
Moving toward Intelligent Design Through Mu Sic, the transforming process of writing a new kind of delivery of product through a portal arrangement in Glass... Analytics to set the Stage
Mu sic in the Advancing Age V1 Expanding the Role of Digital TheoryBrij Consulting, LLC
Moving toward Intelligent Design Through Mu Sic, the transforming process of writing a new kind of delivery of product through a portal arrangement in Glass
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Meta dimensional template for interpolation of virtual objects and portal arrangements; convert between the ark design to binary using a normalization pattern. Converting a meta based company to glass (hyD case study)
Advantages to Industrial Physics and Digital Portals in Developing Green Technology and Remote Building, increasing Industrial Scale and Reclaiming Legacy with Advance Science...Revised in Financial Planning
Reintroduction to Glass in Basic Theories... The functional use of Glass in Digital and Ark Design, Energy Cascade and Underlying Theory of Glass Forms
Advantages to Industrial Physics and Digital Portals in Developing Green Technology and Remote Building, increasing Industrial Scale V2 includes Digital and Advanced Ark Science
Advantages to Industrial Physics and Digital Portals in Developing Green Technology and Remote Building, increasing Industrial Scale and Reclaiming Legacy with Advance Science
We have formed a new P(N) process and Theoretical Production to account for the cost of the Glass Mix. In doing so we see that there is a split in the process between the inhouse and remote requirement, and we need to devise Order Fulfillment in such a way that we can account for the completion of the Order. This we accomplish in V2 and V3.
Reintroduction to Glass in Basic Theories... The functional use of Glass in Digital and Ark Design, Energy Cascade and Underlying Theory of Glass Forms, Interpolation Chain and Fitness for Purpose Tests
The Glass Warehouse is a continuous flow model that permits the build of various plait glass designs using the Ark Mode of development in dimensional systems. This emulated version allows us to consider the concept of remote building and its requirements. V1 formulates the design concept and recommends a Forward-Looking Statement that will be developed for V2. Many elements of Remote builds must be considered and a new Product Load devised to construct the Production. V3 will consider using instances in before and after drawings to make a more intricate design of the build. See also https://www.slideshare.net/Marshallja/the-glass-warehouse-v3-remote-extended
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Justification of the Build of Land Products is produced from a template that demonstrates its result later in a serialized string containing its build rate. In V1 we are primarily interested in identifying the load for land products. In V2 we are concerned with the Glass Product Warehouse and reassembly of customer delivered loads with a frequency traceable to load. And in V3 we are concerned with the Title, Deed, Records that need to be maintained.
Pipes and Plaits in Ark Mode Design V1 Pi, Pi(m), Pi(n) with CommentsBrij Consulting, LLC
Justification of the Build of Land Products is produced from a template that demonstrates its result later in a serialized string containing its build rate. In V1 we are primarily interested in identifying the load for land products. In V2 we are concerned with the Glass Product Warehouse and reassembly of customer delivered loads with a frequency traceable to load. And in V3 we are concerned with the Title, Deed, Records that need to be maintained.
Text of presentation on data structures in Making of Charlemagne's Europe database, given at at Medieval Studies in the Digital Age seminar, Leeds, February 2015
In this talk we will summarise some of the detectable trends on AI beyond deep learning. We will focus on the current transition from deep learning to deep semantics, describing the enabling infrastructures, challenges and opportunities in the construction of the next generation AI systems. The talk will focus on Natural Language Processing (NLP) as an AI sub-domain and will link to the research at the AI Systems Lab at the University of Manchester.
Summary Attached with PART I: STAKEHOLDER BENEFITS ...From complex Materials to rapid buildout and assembly, we asked the tougher Stakeholder questions PART II: NEMO's BENEFITS ...How do we fit into the Picture? plus Special INTRO segment to Scholastic Induction
The document provides information about Bako Lam (Laminate) and its potential entry into the supply chain of ark glass products. It discusses the four enterprise areas for various applications of laminated glass, such as Automotive, Fenestrations, Candle stone, and Facades. The document also mentions the primary goals of Bako Lam, which include developing the instance attribution for laminates, task branding for easy identification, and finding partners for simulations. It further highlights the areas of growth for Bako Lam, the plan for product launch, the areas of focus (production instance, multi-agency simulations and supply chain), and the timeline for the company's activities. The document concludes with a summary and mentions the upcoming simulations report in Part II, which will provide more details about the impact of Bako Lam on the glass industry. https://www.slideshare.net/slideshow/comments-on-making-the-retrofit-bako-lam-pdf/269560673
The document provides information about Bako Lam (Laminate) and its potential entry into the supply chain of ark glass products. It discusses the four enterprise areas for various applications of laminated glass, such as Automotive, Fenestrations, Candle stone, and Facades. The document also mentions the primary goals of Bako Lam, which include developing the instance attribution for laminates, task branding for easy identification, and finding partners for simulations. It further highlights the areas of growth for Bako Lam, the plan for product launch, the areas of focus (production instance, multi-agency simulations and supply chain), and the timeline for the company's activities. The document concludes with a summary and mentions the upcoming simulations report in Part II, which will provide more details about the impact of Bako Lam on the glass industry.
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We have formed a new P(N) process and Theoretical Production to account for the cost of the Glass Mix. In doing so we see that there is a split in the process between the inhouse and remote requirement, and we need to devise Order Fulfillment in such a way that we can account for the completion of the Order. This we accomplish in V2 and V3.
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Knowledge graphs have been conceived to collect heterogeneous data and knowledge about large domains, e.g. medical or engineering domains, and to allow versatile access to such collections by means of querying and logical reasoning. A surge of methods has responded to additional requirements in recent years. (i) Knowledge graph embeddings use similarity and analogy of structures to speculatively add to the collected data and knowledge. (ii) Queries with shapes and schema information can be typed to provide certainty about results. We survey both developments and find that the development of techniques happens in disjoint communities that mostly do not understand each other, thus limiting the proper and most versatile use of knowledge graphs.
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In this talk we will summarise some of the detectable trends on AI beyond deep learning. We will focus on the current transition from deep learning to deep semantics, describing the enabling infrastructures, challenges and opportunities in the construction of the next generation AI systems. The talk will focus on Natural Language Processing (NLP) as an AI sub-domain and will link to the research at the AI Systems Lab at the University of Manchester.
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2. Bridge
Building in Ark
Design
Ark Process
Digital
Mechanic
Production Book
Design
Configuration
Gate Arch
Gated Process and
Interpolated
Conditions
Plait Process
Up or Down
Scale
Instances
Plait Objects or
Materials
• How do interpolations help to
know the timing and the
acceptability of New Products
• Matrix must be specified
• Process must be proposed
• A Customer Profile must be
established
• How is Intuitive Demand Sought?
• Data must be “innocent”
• The Critical Path must be probable
and potential but not likely
• 80% of the events should be
discovered related to New Product
Original Conceptual Thinking is Innocent but Undeveloped, it is the Undiscovered Land
Brij Consulting, Jean Marshall
6. The Plait Properties of Glass
The Plait properties of Glass replace any concept of the way the
world was working before. There are so many uses of the plait
form of glass that they are too numerous for written
consideration because they replace everything. But God made
man to cultivate the earth and this new form is part of it.
Glass has these well conceived
properties demonstrated already…
1. Permanence
2. Redundancy Engineering
3. Imaging Retention
4. Immediacy of Upgrade
5. Unable to be re-engineered
6. Human Correspondence
7. Eternal Approbation
2/1/2021 Brij Consulting, Jean Marshall 6
7. The Remote capability of God's Ark is seen with the 11
Cherubim of which the Lord is also 1, from the cover of
Magnificat Magazine
In the Book of Ezekiel and (at least some) Christian
icons, the cherub is depicted as having two pairs of
wings, and four faces: that of a lion (representative
of all wild animals), an ox (domestic animals), a
human (humanity), and an eagle (birds).[4] Their legs
were straight, the soles of their feet like the hooves
of a bull, gleaming like polished brass. (Wikipedia)
The Symbols from the Ark of God are more intrinsically drawn
than the way they are described anywhere because they
represent more scientific theory than we are capable of
comprehending now. God is the Maker of Worlds and He has
lived forever, so that He has infinite knowledge which has no
real reference to anything we possess.
While the devil was once a Cherubim, he barely possessed any
advanced knowledge before absconding with an Ark related
capability and starting the immense troubles that he brought
about to God. God continued with His Plan to translate mankind
to everlasting life, for all those who OBSERVE HIS WAYS.
If God did not love+ man with an everlasting love+ the devil
would be put out immediately. But the repository of souls is an
implicitly devised condition upon which the earth and all its
Plans are built. Further God does not settle His score
immediately because He can see better ways to plot through
History and accomplish His Goals.
The devil constantly overwrites himself and has no real
constancy or credible resource. God uses it as the passing phase
upon which the underlying conditions of mortal existence are
changed. God's intentions are to plait a new stone of
everlasting quality and dimension upon which man may co-
operate in the New Creation.
Cherubim have four faces: one of a man,
an ox, a lion, and an eagle (later adopted as
the symbols of the four evangelists). They
have four conjoined wings covered with
eyes (although Revelation 4:8 appears to
describe them with six wings like
the seraphim), a lion's body, and the feet
of oxen. Cherubim guard the way to the
tree of life in the Garden of Eden (Genesis
3:24)[5] and the throne of God (Ezekiel
28:14–16).[6]
The cherubim are mentioned in Genesis
3:24,[5] Exodus 25:17–22, 2 Chronicles 3:7–
14, Ezekiel 10:12–14[7] and 28:14–16,[6] and
1 Kings 6:23–28.[8]
Modern English usage has blurred the
distinction between cherubim
and putti. Putti are the often wingless
(sometimes winged) human baby/toddler-
like beings traditionally used in figurative
art.
St. Thomas Aquinas imagined Satan as a
fallen Cherub.[9]
Wikipedia
7
God maintains what is old in order
to bring about something new
144 =12^2
1000 =10^3
144000
8. V2 Articulating in Glass
We're looking for the way to find all those like vectors
across a broad spectrum that may correspond to the
parameters of our project... This is a way to discover how
the Supply Chain of vendors and customers could supply a
match and a timely market for a new product
Find the
Price, Cost, Scope
Vector for New product
Wall Definition Data is from Functional Glass prior to
annotating data sets for correlation and testing to derive L See T- Test Ref I
(200,000,000,000.00)
(150,000,000,000.00)
(100,000,000,000.00)
(50,000,000,000.00)
-
50,000,000,000.00
100,000,000,000.00
150,000,000,000.00
200,000,000,000.00
Sum of Sum of wall
Sum of Sum of brace
Sum of Sum of thread
Sum of Sum of annex1
Sum of Sum of annex2
Sum of Sum of annex3
Grand Total
Setup
Brace
Conversion
Final
Gains
Thread
Wall
Y Union
2/1/2021 Brij Consulting, Jean Marshall
8
We updated this V2 on 2/5/21 JAM
9. Discovery of an Attributable Matrix
y = -10,557,292,316.19x + 71,372,466,705.77
R² = 0.38 y = 5,704,942,992.74x - 21,610,602,465.61
R² = 0.05
y = 9,324,831,128.91x - 55,114,119,001.07
R² = 0.55
y = -1,935,321,712.76x + 13,139,008,637.48
R² = 0.01
y = -7,268,738,896.40x + 58,195,801,531.77
R² = 0.25
y = -330.41x + 2,896.68
R² = 0.51 wall
brace
thread
annex1
annex2
annex3
Linear (wall)
Linear (brace)
Linear (thread)
Linear (annex1)
Linear (annex2)
Linear (annex3)
In an unknown product with a latent demand, it is
difficult to line up the attributes that would indicate
which customers or vendors would appreciate it. If
there is a set of product characteristics that help to
point to those relationships it would be a good
beginning step to define a near set of attributes
GLASS WAVE SPECS
Original Bayesian Test Data for Glass Attributes
2/1/2021 Brij Consulting, Jean Marshall
9
What is Latent Demand?
Latent demand is basically
the desire for a product that a
consumer is unable to satisfy
because he is himself unable
to point it out or doesn’t
realize what is missing until
pointed out. This need cannot
be satisfied by current
product or services and the
consumer himself cannot
articulate the type of product
which will help him
Do we have a plausible scale
for digital portal growth?
Example of 20-year
growth in Digital Excel
Functional Utility Growth Test
10x
10. Attributes:
1. GSP = 500.5
2. Theta Object = 176.2
3. Scope Manifold = 2904 +/- 36
4. Area Correspondence =
10.0224 perfect map
5. Underlying Distribution=
23.22 @ Scale
6. Z time 21.7
Story #1: Specifications in Glass
See Ink-up
Slide 11
New Map
Correlation
SEND
SPECS
2/1/2021 Brij Consulting, Jean Marshall
10
.612
GT=171,442,846,566/17,179,869,184=9.97
11. PVM Ink-up
2/1/2021
Brij Consulting, Jean Marshall
11
0 1 2 3 4 5 6 7 8 9 10 11
Unapplied burden
Some update was added JAM 2/5
171442846566/-17048749335=-10.0560
2
See Slide 12
12. Engineering
Requirements
Brace
Conversion
Final
Gains
Setup
Thread
Wall
Y Union
Sum of wall
Sum of thread
Sum of annex2
Glass Foundation
Data Specifications…
• Emulation from Financial Formulation
Model, not Engineered for Physical Wall
Formation or Heat/Cascade Requirements
• Data formed to make interior cube visible
• Wall is for Discovery of Cascade
Potential in Wave Glass Development
2
Loading, Leveraging,
Motivating and Timing
are Engineering
Problems when Force is
Applied
SEND
PROBLEM
Instances Plait Curve
Foil up, Cascade Down
2/1/2021 Brij Consulting, Jean Marshall 12
sample
Send problem
out for review
by major firms
See Slide 16
13. V3 Vendor and
Customer Profiling
How do we consider the Digital Portal
capability in Vendor and Customer Profiling
and delivery of new product demand
specifications across a wide market venue?
2/5/2021 Brij Consulting, Jean Marshall 13
Looking at what changes in the profile composition:
From Map-IT Ralph
Scorecard Integration
We were using the Scorecard-Portfolio Method to
emulate until we got to the Plait Glass Emulation and
found the means to plait-out differences and develop
an equity based digital production. This happened as
we got into the Ark Scale of Delivery and reached
upper limit of assembly capability and turned to plait
to increase thruput. Scalable Energy Based Materials
are Required to develop Instancing.
See last slide
Discovery Mode
of Emulation
Future
1. Scalable energy-based
materials
2. Glass with multi-surface
layers and elemental
capability
3. Wall cascade and
interoperability with heat
Emulating the Process Concept
14. Reduced Demand for Travel,
increased Glass in Portal Mode
Brij Consulting, Jean Marshall
• No need to travel to examine
facilities or materials
• Onsite remote building when
applicable or maintenance
• Increased Demand for Glass
will give a New Price to
mobility
• Increased Virtual Supply Chain
Activity and fewer conferences
except in assembly through
portals
• Bi-locutions through proxy
arrangement and proxy
matriculation in manifold
requirement
• Glass Wall and Cascade
delivery systems required in
Digital Portal Mode
2/5/2021 14
Demand Curve
Slide 17
Increased Thruput
FUNCTIONAL FACTS
15. Pre-Gate Considerations
Brij Consulting, Jean Marshall
We have made some determinations:
• We note the Preliminary Material
considerations are presented without
carrying the burden requirement and
without having a determination about
the heat element and force
requirement, nor about the general
cascade requirement to motivate
carriage in terms of engineering.
• The ongoing dialogue has to sponsor
the plan for the future motivation of
these objects and elements to the gate.
• And how the digital portal will be
modeled with a frame relationship in its
relay sponsorship to a network
arrangement.
• The use of the digital portal to sponsor
a much heavier ark relationship in the
future may or man not impinge on its
design elements now
• Glass instances are the ultimate plait
goal of this first institutional delivery.
2/5/2021 15
Gate Metrics
16. Profiling of Customers and
Vendors, Digital Portal
Brij Consulting, Jean Marshall
What do we need to know to identify Customers?
(aside from credit history and the norm of background,
broad applications criteria.)
• How would they use this product?
• What controls are necessary to keep both
customers and the portal applications safe?
Knowing this would also assist in the building out
of Customer profiles
• What kind of customers demonstrate the need for
this latent demand or its plethora of products?
2/5/2021 16
Utility
Function
What do we need to know to identify Vendors? (aside
from credit history and the norm of background, broad
applications criteria.)
• How would they build this product?
• What controls are necessary to vendor
sponsorship?
• What kind of vendors demonstrate the capability
to acquire skills to assist this latent demand or its
plethora of products?
What kind of engineering and
material specialists are required?
Equity
17. 2/5/2021 Brij Consulting, Jean Marshall 17
Mapping Future Prospects
Obtaining the Solid Facts on Future Development is dependent on a Largely Available Workforce
y = 458,760.00000x2 - 2,359,320.00000x + 2,949,136.00000
R² = 1.00000
y = 7968x2 - 40032x + 48448
R² = 1
(200,000)
-
200,000
400,000
600,000
800,000
1,000,000
1,200,000
(5,000)
-
5,000
10,000
15,000
20,000
Current Excel 97 and earlier Multiplier
Digital Change
rows columns Poly. (rows) Poly. (columns)
Industrial Physics Capabilities
Digital Portal Development Scope
18. 2/1/2021 Brij Consulting, Jean Marshall 18
V4 Justifying the Build-out
of Prototypes
What can Glass do in
Predefined Instances?
y = 0.134x2 - 3.8971x + 34.983
R² = 0.1439
y = 0.1046x2 - 3.191x + 30.83
R² = 0.1403
(10.0)
-
10.0
20.0
30.0
40.0
50.0
60.0
70.0
0 2 4 6 8 10 12 14
Line of Best Fit: Sprints
Sprint1
Sprint2
Sprint3
Sprint4
Sprint5
Series6
Series7
More functionality and more
utility in every system
worldwide dimensional
networking
19. Ref I: T-Test of Data sets
T GAP
1
1 1
Wall Definition
Data with
annotated
observations
2
2
2/5/2021 Brij Consulting, Jean Marshall 19
See Slide 8