Measuring New ‘3dM Qualities’ -Independent of Scale

3D Metrics - LondonSabine Kurjo McNeillwww.3dmetrics.co.uk

M/Kg/Hr => ‘3dM Qualities’

The Theoretician• Studies of mathematics and computing,

Technical High School Darmstadt, West Germany• First employment as system analyst, CERN,

European Centre for Nuclear Research, Geneva• Since 1981: self-employed as computer

professional in London• Since 1996: independent private research

which led to ‘3D mathematics’ and ‘3D metrology’, the ‘3dM’ methodologies and several patent applications.

The ‘3dM’ MethodologyThe new ‘3dM’ methods combine mathematics and programming such

that a new metrology could be created. This ‘3D Metrology’ is to be understood as being complementary to the

International System of Meter / Kilogram / Second.

The ‘3D Metrology’ is characterized by• physical, chemical and biological phenomena are differentiated

into different levels of order of scale while using light as ‘common denominator’

• within these ‘frames of investigation’, known length and time scales, wavelengths and frequencies are translated into new ‘3dM Qualities’

• these new ‘3dM Qualities’ can be quantified and thus become comparable.

R & D => Product & Case Studies

• Theories and concepts became software designs

• Software designs became software prototypes:– ‘3D TimeData’ – with a new method of interpolation– ‘Visual Data Intelligence’ – with a new method of

extrapolation and ‘layering’ of dimensions– www.3dmetrics.net - with overlayed time intervals

• Software prototypes became case studies for specific data

Case study FinanceExtrapolation is one of the

mathematical innovations – independent of length and time scale:

• When using mathematical functions, the accuracy is 100%, even though the method does not distinguish between regular and irregular data

• Accuracy is measured in two new ways

• Seven additional measures are used for risk management

www.3dmetrics.net demonstrates • the overlaying of projections

over daily and weekly time intervals

• the projections of Open, High, Low and Close values

Case study Genome

The prototype ‘Visual Data Intelligence’ was used to visualize data from the human genome.

www.wellcome.org proposed a link which contains 137 tissues and 33690 probes from which were selected:

• many tissues, few probes• few tissues, many probes.

Screenshot Genome

Few tissues, many probes:

Case study Imaging

The prototype ‘Visual Data Intelligence’ was also used to re-visualise the image of a sprayed surface, which was provided by National Physical Laboratories

‘3dM’ Imaging

Additional colour and depth:

From the Generalto the Specific

Thanks to software, the ‘3dM’ methodology creates a new general framework, within which specialised data can be newly represented so that new knowledge can be gained:

• for the solution of scientific challenges• and for the development of new products

– through the comparability of measures that have hitherto not been comparable

– or the measurability of qualitative indicators that have hitherto not been quantifiable, such as:

• porosity, granularity, roughness.