Space-time-node engine signal structure

• US 9,495,099 B2
• Filed: 05/15/2015
• Issued: 11/15/2016
• Est. Priority Date: 05/03/2011
• Status: Active Grant

• Current Assignee: Nokia of America Corporation (Nokia Corporation)
• Original Assignee: Space Time Insight, Inc. (Nokia Corporation)
• Inventors: Kumar, Krishna
• Primary Examiner(s): CHANG, LI WU
• Application Number:
  US14/714,217
• Publication Number:
  US 20150363108A1
• Time in Patent Office: 550 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 12/0276 Generational garbage collection
• CPC Class Codes: G06F 16/2246 Trees, e.g. B+trees
• CPC Class Codes: G06F 16/2264 Multidimensional index structures
• CPC Class Codes: G06F 16/258 Data format conversion from or to a database
• CPC Class Codes: G06F 2212/702 Conservative garbage collection
• CPC Class Codes: G06F 3/0604 Improving or facilitating administration, e.g. storage management
• CPC Class Codes: G06F 3/0638 Organizing or formatting or addressing of data
• CPC Class Codes: G06F 3/0671 In-line storage system
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: H04L 41/145 involving simulating, designing, planning or modelling of a network
• CPC Class Codes: Y02P 90/80 Management or planning

Abstract

Example methods, apparatuses, or articles of manufacture are disclosed that may be implemented using one or more computing devices or platforms to facilitate or otherwise support one or more processes or operations associated with a space-time-node engine signal structure.

Claims

1. A method comprising:

processing, via a space-time-node engine, one or more multi-dimensional signal samples to determine one or more digital signals comprising one or more attributes stored as a first set of signal samples in a memory; and

converting the first set of signal samples into a second set of signal samples comprising a STING-type signal structure substantially in accordance with one or more preferences based, at least in part, on dominance of the one or more attributes linearized as a function of mutually relative distance between cells of the STING-type signal structure.

2. The method of claim 1, wherein the cells comprise STING cells.

3. The method of claim 1, wherein the one or more attributes comprise at least one of the following:

a spatial attribute;

a temporal attribute;

a nodal attribute;

or any combination thereof.

4. The method of claim 1, wherein the first set of signal samples comprises at least one of the following:

a cardinality-type signal structure;

the STING-type signal structure;

or any combination thereof.

5. The method of claim 1, wherein the one or more multi-dimensional signal samples comprise at least one of the following:

one or more multi-source signal samples;

one or more multi-speed signal samples;

or any combination thereof.

6. The method of claim 1, wherein the STING-type signal structure at least partially comprises a spatial-temporal-nodal system of the cells.

7. The method of claim 6, wherein the spatial-temporal-nodal system of the cells comprises one or more clusters of STING cells.

8. The method of claim 7, wherein the one or more clusters of STING cells are organized based, at least in part, on at least one of the following:

a payload-to-byte ratio;

an average number of the cells per payload;

a spatially-dominant attribute;

a temporally-dominant attribute;

a nodally-dominant attribute;

or any combination thereof.

9. The method of claim 1, wherein the memory comprises an in-memory array.

10. The method of claim 9, wherein the in-memory array comprises a linearized in-memory array.

11. The method of claim 1, wherein the function of the mutually relative distance comprises a value-based metric computed via one or more distance calculators.

12. The method of claim 11, wherein the one or more distance calculators comprise at least one of the following:

a Euclidean distance-type calculator;

a temporal distance-type calculator;

a nodal-affinity distance-type calculator;

a nodal-degree-of-separation distance-type calculator;

a Hamming distance-type calculator;

or any combination thereof.

13. The method of claim 1, wherein the one or more preferences comprise one or more signal values representative of one or more visually displayable preferences.

14. The method of claim 1, wherein the one or more preferences are determined in connection with performing at least one de-serialization operation.

15. The method of claim 14, wherein the at least one de-serialization operation is performed via one or more rapid passes on the STING-type signal structure.

16. An apparatus comprising:

a computing device comprising at least one processor coupled to at least one memory to;

process, via a space-time-node engine, one or more multi-dimensional signal samples to determine one or more digital signals to be representative of one or more attributes to be stored as a first set of signal samples in a memory; and

convert the first set of signal samples into a second set of signal samples to comprise a STING-type signal structure to be substantially in accordance with one or more preferences to be based, at least in part, on dominance of the one or more attributes to be linearized as a function of mutually relative distance between cells of the STING-type signal structure.

17. The apparatus of claim 16, wherein the function of the mutually relative distance to comprise a value-based metric to be computed via one or more distance calculators.

18. The apparatus of claim 17, wherein the one or more distance calculators to comprise at least one of the following:

a Euclidean distance-type calculator;

a temporal distance-type calculator;

a nodal-affinity distance-type calculator;

a nodal-degree-of-separation distance-type calculator;

a Hamming distance-type calculator;

or any combination thereof.

19. An article comprising:

a non-transitory storage medium having instructions executable by a processor to;

process, via a space-time-node engine, one or more multi-dimensional signal samples to determine one or more digital signals to be representative of one or more attributes to be stored as a first set of signal samples in a memory; and

convert the first set of signal samples into a second set of signal samples to comprise a STING-type signal structure to be substantially in accordance with one or more preferences to be based, at least in part, on dominance of the one or more attributes to be linearized as a function of mutually relative distance between cells of the STING-type signal structure.