Occasional Updates

How Blockchain Technology Can Help B2B Companies Become More Profitable

As previously explained, we have the capability to digitally sign and record each independent process chemistry report on a public blockchain. It is up to the client if they want to do this. This can be an anonymous code or, the company name can be included in the...

What business travel will look like in the new normal

As PCA is an independent technology service working with data via remote teams, it is positioned for the new normal. And, building trust is critical for success in the new normal. Increasingly, in order to sell their products and services, suppliers will need to get...

Over-Reliance on Expert Intuition

Developing Scientific Intuition: "People are particularly bad at statistical thinking, which requires careful weighing of evidence by the slower analytic mind." "In his book Thinking, Fast and Slow, the eminent psychologist Daniel Kahneman warns about overreliance on...

PCA Uses Leading Keybase – Zoom Technology to Build Trust

PCA is currently using the leading cryptography expertise of Keybase to further build trust in the remote delivery of PCA digital services (lets call it the 'Remote Delivery Trust'). The company that PCA currently uses for management of our 'Remote Delivery Trust'...

Using Public Key Cryptography and Blockchain to Build Trust in PCA Digital Services

As markets move away from traditional chemical sales, a trend now accelerated by COVID-19, these digital technologies become more relevant and essential. PCA (Process Chemistry Analytics) shares data between remote locations. That is why we digitally sign each client...

Registering PCA Process Chemistry Report Documents on a Blockchain

IBM uses the Stellar blockchain. Independent PCA can use the Stellar blockchain to register document transactions in a publicly verifiable, decentralised network. This step is only processed for client report documents if they want to make transactions public. For...

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Scatterplot comparing Spearman and Pearson correlation 1

Attribution: Skbkekas [CC BY-SA 3.0], via Wikimedia Commons

Mining at the Tarkwa Gold Mine in Ghana

Attribution: Iamgold [CC BY-SA 3.0], via Wikimedia Commons

Scatterplot comparing Pearson and Spearman correlation 2

Attribution: Skbkekas [CC BY-SA 3.0], via Wikimedia Commons

Nippon Paper Industries, Akita Mill

Attribution: 掬茶 [CC BY-SA 4.0], via Wikimedia Commons

Tarkwa Processing Plant, Ghana

Attribution: Iamgold [CC BY-SA 3.0], via Wikimedia Commons

Python Code for Scatterplot comparing Pearson and Spearman correlation 2

Attribution: Skbkekas [CC BY-SA 3.0], via Wikimedia Commons

Scatterplot comparing Spearman and Pearson correlation 3

Attribution: Skbkekas [CC BY-SA 3.0], via Wikimedia Commons

The Standard Normal Probability Distribution with shaded regions

Attribution: D Wells [CC BY-SA 4.0], via Wikimedia Commons

The Grampian Prepared Foods Factory, Industrial Estate Road, UK

Attribution: Eric Jones / The Grampian Prepared Foods Factory, Industrial Estate Road, via Wikimedia Commons

Visualisation of how standard deviation (σ) is calculated

Attribution: Thebiologyprimer [CC BY-SA 4.0], via Wikimedia Commons

Processing facilities at the Essakane Mine in Burkina Faso

Attribution: Iamgold [CC BY-SA 3.0], via Wikimedia Commons

Excess Kurtosis Beta Distribution with mean for full range and variance from 0.05 to 0.25

Attribution: Dr. J. Rodal [CC BY-SA 3.0], via Wikimedia Commons

Mill in Hearst, Ontario, Canada

Attribution: P199 [CC BY-SA 3.0], via Wikimedia Commons

Nyrstar zinc factory near Budel-Dorplein (NL)

Attribution: Apdency [CC0], via Wikimedia Commons

Graph of bias in estimated standard deviation vs. alpha (significance level) and N (sample size)

Attribution: Rb88guy [CC BY-SA 3.0], via Wikimedia Commons

3D representation of a hierarchical tree defining a classification (cluster) performed after a factorial analysis of the multiple correspondences on the "tea" dataset available under R with FactoMineR

Attribution: Jackverr [CC BY-SA 3.0], via Wikimedia Commons

This is based on a print of the “Single Malt Whisky Flavor Map” which was designed by the “Friends of the Classic Malts”, Glasgow, and published in free copies 2007

Dave Broom was named as the Editor. Diageo funded the project.

Attribution: Tasma3197 [CC BY-SA 3.0], via Wikimedia Commons

Cameronbridge Distillery, Scotland. This Diageo distillery is the birthplace of Cameronbridge pure grain whisky, and it is also where Gordons Gin, Smirnoff Vodka and other 'exotic' spirits are distilled

Attribution: James Allan / Cameronbridge Distillery, via Wikimedia Commons

Norbord Factory, Scotland. Manufacturers of engineered wood based panel products

Attribution: Ivor MacKenzie / Norbord Factory, via Wikimedia Commons

Visit of an EITI commission 2008 in Ghana: In the caldera of the Ahafo mine, an open-pit mine of the Newmont Ghana Gold Limited

Attribution: The EITI [CC BY-SA 2.0], via Wikimedia Commons

Box plot description

Attribution: Dcbmariano [CC BY-SA 4.0], via Wikimedia Commons

Processing scheme for the Rosebel Gold Mine in Suriname

Attribution: Iamgold [CC BY-SA 3.0], via Wikimedia Commons

VisIt's Scatter plot allows for the visualisation of multivariate data of up to four dimensions

The Scatter plot takes multiple scalar variables and uses them for different axes in phase space. The different variables are combined to form coordinates in the phase space and they are displayed using glyphs and coloured using another scalar variable.

Attribution: UCRL [Public domain], via Wikimedia Commons

Kemsley Paper Mill, UK

Attribution: Joe White / Kemsley Paper Mill, via Wikimedia Commons

Box-plot of normal and non normal distribution. Created with R

Attribution: Gbdivers [CC BY-SA 3.0], via Wikimedia Commons

The Ravensthorpe Nickel Mine, Western Australia

Attribution: Calistemon [CC BY-SA 3.0], via Wikimedia Commons

An example of the bivariate Gaussian (normal), Student-t, Gumbel, and Clayton copulæ

Attribution: Avraham [CC BY 4.0], via Wikimedia Commons

This is number 5 Blast Furnace located at the Port Talbot Corus (now Tata) Steel Plant, UK

Attribution: Grubb at English Wikipedia [Public domain], via Wikimedia Commons

Data fusion involves techniques that combine data from multiple sources (dimension #1 & #2) and gather that information in order to achieve inferences (see scatter plot)

More effective and potentially more accurate than using a single source of data (one or the other histogram).

Attribution: Jarekt [CC BY-SA 3.0], via Wikimedia Commons

Aluminium smelter of TRIMET Aluminium, Essen, Germany

Attribution: Tuxyso / Wikimedia Commons / CC BY-SA 3.0, via Wikimedia Commons

International Paper Company, Georgetown, USA

Attribution: Pollinator [CC BY-SA 3.0], via Wikimedia Commons

Image of random data plus trend, with best-fit line and smoothing curves

The data is 1000 points, with a trend of 1-in-100, with random normal noise of SD 10 superimposed. The r² fit of the raw data is 0.08; of the 10-pt-smoothed, 0.57; of 100-pt-smoothed, 0.97. For the raw data, the simple trend line explains almost none of the variance of the time series (only 8%). For the 100-pt filtering, the trend line explains almost all of the data (97%). The trend lines are almost identical as are the confidence levels. It shows that a low r² value should not be interpreted as evidence of lack of trend.

Attribution: Maksim [CC BY-SA 3.0], via Wikimedia Commons

Twin Creeks gold mine, Nevada, USA; Carlin-style mineralisation in Mesozoic sedimentary rocks

Attribution: Geomartin [CC BY-SA 3.0], via Wikimedia Commons

Terra Mineralia. Minerals Exhibition TU Bergakademie Freiberg (Gypsum with Calcite in foreground)

Attribution: Kora27 [CC BY-SA 4.0], via Wikimedia Commons

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There is a need in the industrial marketplace for a trusted, independent, data-based service to assist suppliers and industrial sites to improve process and chemistry performance. PCA’s mission is to provide your business with that service.

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