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公开(公告)号：US11853452B2
公开(公告)日：2023-12-26
申请号：US17519901
申请日：2021-11-05
Applicant: International Business Machines Corporation
Inventor： Lucas Correia Villa Real , Rogerio Cesar Barbosa dos Santos da Silva Silva , Claudio Bandeira Dutra , Raphael Guedes Amorim
CPC classification number: G06F21/6227 , G06F16/258 , G06F21/604
Abstract: Embodiments relate to keeping databases compliant with data protection regulations by sensing the presence of sensitive data and transferring the data to compliant geographies. A request including information is received, the request being intended for processing on a local database. A model is used to process the information of the request. Responsive to the model determining that information relates to sensitive data, the request is transferred to a remote database associated with a geography meeting a requirement for the sensitive data in order to execute the request.
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公开(公告)号：US10268198B2
公开(公告)日：2019-04-23
申请号：US15840470
申请日：2017-12-13
Applicant: International Business Machines Corporation
Inventor： Kiran Mantripragada , Ulisses Mello , Rafael Horschutz Nemoto , Nicole Barbosa Sultanum , Lucas Correia Villa Real
Abstract: A pollution source detection system, includes an automated vehicle including a position sensor that detects a geographic position of the automated vehicle and at least one pollution detection sensor that measures a concentration of pollution at the automated vehicle. The pollution source detection system includes a back-end system. The back-end system includes a network interface that receives the geographic position and the concentration of the pollution from the automated vehicle. The back-end system includes a database that stores the geographic position and the concentration of the pollution received via the network interface. The back-end system includes a processor that measures a gradient of the concentration of the pollution and controls a movement of the automated vehicle based on the gradient to guide the automated vehicle toward a source of the pollution.
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3.发明申请公开(公告)号：US20190049627A1
公开(公告)日：2019-02-14
申请号：US16159696
申请日：2018-10-14
Applicant: International Business Machines Corporation
Inventor： Hans-Jurgen Eickelman , Ying Liu , Thomas H. Osiecki , Lucas Correia Villa Real
CPC classification number: G01W1/14 , G06F16/244 , G06F16/248 , G06F16/254 , G06G7/50 , Y02A10/46
Abstract: Aggregating and transforming data, and performing analytics thereupon, for application-specific optimization based on multiple data sources. The data is preferably ingressed automatically, and may originate from various public and/or private data sources. Data transformation preferably aligns the data aggregated from the various sources, to thereby allow meaningful referencing. Complex and non-aligned data can therefore be consolidated, such that it is readily digestible by simulation (or other) software. In an embodiment, risk of flooding for a supply chain is computed from the aggregated and transformed data, using data analytics based on physical computation for flood risk assessment, allowing the supply chain to be optimized with regard to threat of flooding and/or actual flooding. In another embodiment, risk of wild fire may be assessed. Other types of risk may also be assessed.
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公开(公告)号：US10021445B2
公开(公告)日：2018-07-10
申请号：US15346937
申请日：2016-11-09
Applicant: International Business Machines Corporation
Inventor： Priscilla Barreira Avegliano , Lucas Correia Villa Real , Rodrigo Laiola Guimaraes , Diego Sanchez Gallo
IPC: H04N21/43 , H04N21/8547 , H04N21/488 , H04N21/233 , H04N21/234 , H04N21/235 , H04N21/439 , H04N21/44 , H04N21/485 , H04N21/81 , G11B27/10 , G11B27/11 , G11B27/28
CPC classification number: H04N21/4302 , G11B27/10 , G11B27/11 , G11B27/28 , H04N21/233 , H04N21/23424 , H04N21/235 , H04N21/4394 , H04N21/44 , H04N21/4856 , H04N21/4884 , H04N21/8126 , H04N21/8547
Abstract: Various mechanisms presented in this disclosure provide for dynamically adjusting the exhibition of subtitles. In one example, check-points are introduced into the subtitle file format that, once achieved by a multimedia player, provoke the rescheduling of the moment in which the texts contained in the subtitle file will be exhibited.
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5.发明授权公开(公告)号：US09952353B2
公开(公告)日：2018-04-24
申请号：US14485669
申请日：2014-09-13
Applicant: International Business Machines Corporation
Inventor： Hans-Jurgen Eickelman , Ying Liu , Thomas H. Osiecki , Lucas Correia Villa Real
CPC classification number: G01W1/14 , G06F17/30412 , G06F17/30554 , G06F17/30563 , G06G7/50 , Y02A10/46
Abstract: Aggregating and transforming data, and performing analytics thereupon, for application-specific optimization based on multiple data sources. The data is preferably ingressed automatically, and may originate from various public and/or private data sources. Data transformation preferably aligns the data aggregated from the various sources, to thereby allow meaningful referencing. Complex and non-aligned data can therefore be consolidated, such that it is readily digestible by simulation (or other) software. In an embodiment, risk of flooding for a supply chain is computed from the aggregated and transformed data, using data analytics based on physical computation for flood risk assessment, allowing the supply chain to be optimized with regard to threat of flooding and/or actual flooding. In another embodiment, risk of wild fire may be assessed. Other types of risk may also be assessed.
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Patent Agency Ranking
公开(公告)号：US11687795B2
公开(公告)日：2023-06-27
申请号：US16279323
申请日：2019-02-19
Applicant: International Business Machines Corporation
Inventor： Marcio Ferreira Moreno , Daniel Salles Civitarese , Lucas Correia Villa Real , Rafael Rossi de Mello Brandao , Renato Fontoura de Gusmao Cerqueira
IPC: G06N5/022 , G06N20/00 , G06F16/903 , G06F16/901
CPC classification number: G06N5/022 , G06F16/9024 , G06F16/90335 , G06N20/00
Abstract: A hybrid knowledge representation is searched for a machine learning component corresponding to a search query. The hybrid knowledge representation may be structured as nodes representing machine learning workflow components and edges (e.g., links) connecting the nodes based on relationships between the nodes. Responsive to finding the machine learning component in the hybrid knowledge representation, the machine learning component is returned. Responsive to not finding the machine learning component in the hybrid knowledge representation, the hybrid knowledge representation is searched for machine learning model fragments associated with building the machine learning component, generating a new machine learning component by combining the machine learning model fragments and returning the new machine learning component.
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公开(公告)号：US11650812B2
公开(公告)日：2023-05-16
申请号：US17118646
申请日：2020-12-11
Applicant: International Business Machines Corporation
Inventor： Lucas Correia Villa Real , Renato Luiz de Freitas Cunha , Marcelo Nery dos Santos , Renan Francisco Santos Souza
CPC classification number: G06F8/71 , G06F8/65 , G06F9/3836
Abstract: Approaches presented herein enable asset identification for collaborative projects in software development. More specifically, a plurality of assets is identified. Content provided by at least one asset of the plurality of assets is determined. A project that is associated with the content provided by the at least one asset is determined. A repository associated with the project to include the at least one asset is updated.
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公开(公告)号：US10885624B2
公开(公告)日：2021-01-05
申请号：US16244196
申请日：2019-01-10
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Lucas Correia Villa Real , Vagner Figueredo de Santana , Priscilla Barreira Avegliano , Carlos Henrique Cardonha
Abstract: A technique relates to a manufacturing process. A computer system receives a material identification of a resource being manufactured, and receives images captured of units of the resource, the resource having been cut into the units. Features are determined for each of the units from the images. Feature vectors are created on a one-to-one basis for each of the units. A blockchain is formed using the feature vectors associated with each of the units, the blockchain having the material identification of the resource and a certificate identifying the units. A feasibility of the certificate for the units of the resource is validated via the blockchain.
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公开(公告)号：US20200265324A1
公开(公告)日：2020-08-20
申请号：US16279323
申请日：2019-02-19
Applicant: International Business Machines Corporation
Inventor： Marcio Ferreira Moreno , Daniel Salles Civitarese , Lucas Correia Villa Real , Rafael Rossi de Mello Brandao , Renato Fontoura de Gusmao Cerqueira
IPC: G06N5/02 , G06F16/901 , G06F16/903 , G06N20/00
Abstract: A hybrid knowledge representation is searched for a machine learning component corresponding to a search query. The hybrid knowledge representation may be structured as nodes representing machine learning workflow components and edges (e.g., links) connecting the nodes based on relationships between the nodes. Responsive to finding the machine learning component in the hybrid knowledge representation, the machine learning component is returned. Responsive to not finding the machine learning component in the hybrid knowledge representation, the hybrid knowledge representation is searched for machine learning model fragments associated with building the machine learning component, generating a new machine learning component by combining the machine learning model fragments and returning the new machine learning component.
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公开(公告)号：US20200226741A1
公开(公告)日：2020-07-16
申请号：US16244196
申请日：2019-01-10
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Lucas Correia Villa Real , Vagner Figueredo de Santana , Priscilla Barreira Avegliano , CARLOS HENRIQUE CARDONHA
Abstract: A technique relates to a manufacturing process. A computer system receives a material identification of a resource being manufactured, and receives images captured of units of the resource, the resource having been cut into the units. Features are determined for each of the units from the images. Feature vectors are created on a one-to-one basis for each of the units. A blockchain is formed using the feature vectors associated with each of the units, the blockchain having the material identification of the resource and a certificate identifying the units. A feasibility of the certificate for the units of the resource is validated via the blockchain.
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