PL445237A1 - A method of mapping objects in an n-dimensional normalized space - Google Patents

A method of mapping objects in an n-dimensional normalized space

Info

Publication number
PL445237A1
PL445237A1 PL445237A PL44523723A PL445237A1 PL 445237 A1 PL445237 A1 PL 445237A1 PL 445237 A PL445237 A PL 445237A PL 44523723 A PL44523723 A PL 44523723A PL 445237 A1 PL445237 A1 PL 445237A1
Authority
PL
Poland
Prior art keywords
input data
normalized space
dimensional normalized
objects
dimensional
Prior art date
Application number
PL445237A
Other languages
Polish (pl)
Inventor
Jarosław Śmietanka
Łukasz Augustyniak
Piotr Bielak
Original Assignee
Growbots Inc. Spółka Akcyjna Oddział W Polsce
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Growbots Inc. Spółka Akcyjna Oddział W Polsce filed Critical Growbots Inc. Spółka Akcyjna Oddział W Polsce
Priority to PL445237A priority Critical patent/PL445237A1/en
Publication of PL445237A1 publication Critical patent/PL445237A1/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21—Design, administration or maintenance of databases
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/901—Indexing; Data structures therefor; Storage structures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/067—Enterprise or organisation modelling

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Theoretical Computer Science (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Educational Administration (AREA)
  • Development Economics (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Radar Systems Or Details Thereof (AREA)
  • Error Detection And Correction (AREA)
  • Detection And Correction Of Errors (AREA)

Abstract

Sposób odwzorowania obiektów w n-wymiarowej przestrzeni znormalizowanej obejmujący etapy, w których: pobiera się pierwsze dane wejściowe ze źródeł wewnętrznych (10), pobiera się drugie dane wejściowe ze źródeł zewnętrznych (20, 30), w kroku (40) odszumia się pierwsze dane wejściowe (10) i drugie dane wejściowe (20, 30), a następnie normalizuje się pierwsze dane wejściowe i drugie dane wejściowe do n-wymiarowej przestrzeni znormalizowanej. Sposób charakteryzuje się tym, że ponadto okresowo, z zadanym pierwszym interwałem czasowym, agreguje się w kolejnym kroku (50) pierwsze dane wejściowe i drugie dane wejściowe w pojedynczy obiekt w n-wymiarowej przestrzeni znormalizowanej oraz okresowo, z zadanym drugim interwałem czasowym, agreguje się w kolejnych korkach (60, 70) tożsame obiekty w n-wymiarowej przestrzeni znormalizowanej w pojedynczy obiekt z wykorzystaniem dedykowanego indeksu. Ponadto przedmiotem zgłoszenia jest sposób (100) detekcji obiektów w n-wymiarowej przestrzeni znormalizowanej.A method of mapping objects in an n-dimensional normalized space comprising the steps of: taking first input data from internal sources (10), taking second input data from external sources (20, 30), denoising the first input data (10) and the second input data (20, 30) in step (40), and then normalising the first input data and the second input data to an n-dimensional normalized space. The method is characterised in that, furthermore, periodically, with a given first time interval, in a subsequent step (50), the first input data and the second input data are aggregated into a single object in the n-dimensional normalized space, and periodically, with a given second time interval, the same objects in the n-dimensional normalized space are aggregated into a single object in subsequent steps (60, 70) using a dedicated index. Furthermore, the subject of the application is a method (100) for detecting objects in an n-dimensional normalized space.

PL445237A 2023-06-15 2023-06-15 A method of mapping objects in an n-dimensional normalized space PL445237A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PL445237A PL445237A1 (en) 2023-06-15 2023-06-15 A method of mapping objects in an n-dimensional normalized space

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PL445237A PL445237A1 (en) 2023-06-15 2023-06-15 A method of mapping objects in an n-dimensional normalized space

Publications (1)

Publication Number Publication Date
PL445237A1 true PL445237A1 (en) 2024-12-16

Family

ID=93895002

Family Applications (1)

Application Number Title Priority Date Filing Date
PL445237A PL445237A1 (en) 2023-06-15 2023-06-15 A method of mapping objects in an n-dimensional normalized space

Country Status (1)

Country Link
PL (1) PL445237A1 (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11163777B2 (en) * 2018-10-18 2021-11-02 Oracle International Corporation Smart content recommendations for content authors
US20220318715A1 (en) * 2021-04-05 2022-10-06 Mastercard International Incorporated Machine learning models based methods and systems for determining prospective acquisitions between business entities

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11163777B2 (en) * 2018-10-18 2021-11-02 Oracle International Corporation Smart content recommendations for content authors
US20220318715A1 (en) * 2021-04-05 2022-10-06 Mastercard International Incorporated Machine learning models based methods and systems for determining prospective acquisitions between business entities

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