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Air India Flight 171 - Flawed EE Bay Water Ingress Theory

Air India Flight 171 - Flawed EE Bay Water Ingress TheoryRichard Godfrey, in many videos on the...

Air India Flight 171 Accident Summary - Key Findings

Air India Flight 171 Accident Summary - Key FindingsThe purpose of an air accident report is to...

Air India Flight 171 - Ask The experts

Air India Flight 171 - Ask The expertsAn open letter to H. Lawrence Culp, Jr., Chairman and Chief...

Air India Flight 171 - The Vital Seconds

Air India Flight 171 - The Vital SecondsThe Timeline - Vital Seconds.This timeline is constructed...

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Patrick LockerbyRSS Feed of this column.

Retired engineer, 79 years young. Computer builder and programmer. Linguist specialising in technical translation. Interested in every human endeavour except the scrooge theory of accountancy. Interested... Read More »

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Part 1, which begins our examination of the question 'what is time?' can be viewed here.
Part 2 Some travels through time can be viewed  here.
Part 3 discussing language, sequence and order, can be viewed  here.
Part 4 a brief discussion of clocks, Steno, Foucault and Allais, can be viewed here.
The Shortest Path Problem in a Dynamic Network.

A method is needed by which efficient new network routes can rapidly be
calculated to route traffic away from problem paths and nodes. A
possible method is proposed.  I propose to call it the Wentrok heuristic.

What Is The Quickest Route From Newtork To Wentrok?
This is the second of a two part blog on commutative encryption.
Part one was Using Encryption to Block Spam.
The Rock And The Hard Place Of Homer

The well-known expression: 'between a rock and a hard place' almost certainly has its earliest origins in Homer's Odyssey. In that saga, Ulysses has to take his ship between Scylla and Charybdis, two rock-monsters which are a bow-shot apart. It is impossible to avoid both monsters - a course must be steered which leads to the least loss of life.

Unravelling Homer's Yarn
Using Encryption to Block Spam

Tackling the problem of spam is a problem in communication. If spam is noise as against wanted communications, then the spam problem is a signal to noise filtering problem. Unwanted emails, especially broadcast spam emails, consume about 80% of currently available bandwidth.  We need to filter out the 80% noise so as to increase the efficiency of the web in distributing the 20% of traffic that is the wanted signal.
Part 1, which begins our examination of the question 'what is time?' can be viewed here.
Part 2 Some travels through time can be viewed  here.
Part 3 discussing language, sequence and order, can be viewed  here.
Part 4 a brief discussion of clocks, Steno, Foucault and Allais, can be viewed here.

Note: this blog on time is speculative, not established fact.