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OR4NO-SCAR™ is a specification of the design process aimed at maximizing the reliability of Hardware and Software systems for Pattern Recognition solutions based on Neural Networks.

1.        The Occam’s Razor states that one should not increase (beyond reason) the number of entities required to realize anything.

2.        Any component that is not there cannot be broken. Any components that are not needed must be removed.

3.        Claim 2 does not apply to the concept of redundancy contained in NHTMR™ and PRTVA™.

4.        The smaller the number of available operations, the smaller the number of possible states of the machine.

We strictly apply Occam’s Razor principle in the design and implementation of Hardware and Software solutions dedicated to specific problems.

We do not believe in the application of the Occam’s Razor principle for the explanation of complex phenomena such as those of physics and biology. Simplifying the explanation or simulation of complex phenomena can often lead to completely wrong results. As an example the complexity of the chemical-physical phenomena of a biological neuron cannot be accurately mimicked by spiking neurons on silicon. Instead, we strongly believe in applying Occam's Razor Principle to all software and   hardware design processes.

 

In 1996, Pedro Domingos formally applied Occam’s Razor to machine learning, introducing the following implications, which he called “Occam’s Two Razors”:

First razor: Given two models with the same generalization error, the simpler one should be preferred because simplicity is desirable in itself.

NOTE: This statement is always true and the rule should be applied.

Second razor: Given two models with the same training-set error, the simpler one should be preferred because it is likely to have lower generalization error.

 

A complex API allows the software designer to perform sequences of operations that can be potentially harmful.

Our software libraries expose in the API only the essential methods that are used to obtain all the functionality. These methods are parametrically optimized.

The most suitable programming language for safety critical applications is ADA (from MIL-STD-1815 ADA 83 to the current ADA 2022 version). The C language is certainly the best performing in embedded real-time applications but it contains many features that make it unsuitable for safety critical applications. We have built a subset of the C language by applying additional restrictions to the 10 rules of the NASA Jet Propulsion Laboratory’s lab for Reliable Software:

1.    Restrict all code to very simple control flow constructs, do not use goto statements, setjmp or longjmp construct, or direct or indirect recursion.

2.    Give all loops a fixed upper bound.

3.    Do not use dynamic memory allocation after initialization.

4.    No function should be longer than what can be printed on a single sheet of paper in a standard format with one line per statement and one line per declaration.

5.    The code’s assertion density should average to minimally two assertions per function.

6.    Declare all data objects at the smallest possible level of scope.

7.    Each calling function must check the return value of non-void functions, and each called function must check the validity of all parameters provided by the caller.

8.    The use of the pre-processor must be limited to the inclusion of header files and simple macro definitions.

9.    Limit pointer use to single dereference and do not use function pointers.

10.Compile with all possible warnings active; all warnings should then be addressed before the release of the software.

We apply continuous cross-review of the code between software engineers to ensure compliance with the established coding standard.

 

Each hardware project is analyzed in a loop of revisions aimed at minimizing the number of components. Each cycle is managed by a different engineer and the contraindications of the possible elimination of a component are analyzed by the team. The cycle ends when all engineers agree that maximum simplification has been achieved without reductions in functionality or compromise of redundancy principles.

 

 

 

 

 

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