公开(公告)号：US20240428510A1

公开(公告)日：2024-12-26

申请号：US18214157

申请日：2023-06-26

Applicant: HITACHI, Ltd.

Inventor： Masato TAMURA ,  Ravigopal VENNELAKANTI ,  Rahul VISHWAKARMA ,  Nam HUYN ,  Malarvizhi SANKARANARAYANASAMY

IPC: G06T17/00 ,  G06T7/00 ,  G06V10/764 ,  G06V10/774 ,  G06V20/70

Abstract: Generating a 3D attention model from use of a trained classifier configured to generate an attention map from 2D image frames and a 3D reconstruction process configured to generate a 3D reconstructed representation from the 2D image frames, which can involve, for an input of the 2D image frames creating, through a 3D reconstruction process, the 3D reconstructed representation using the 2D image frames after data collection of an inspection process, the 3D reconstructed representation associated with a mapping to the 2D image frames; executing the trained classifier on the 2D image frames of the video to generate attention maps of the 2D image frames; projecting the attention maps of the 2D image frames to the 3D reconstructed representation based on the mapping to the 2D image frames; and storing the 3D attention model involving the associated 3D attention maps and the 3D reconstructed representation.

公开(公告)号：US20240144794A1

公开(公告)日：2024-05-02

申请号：US17976687

申请日：2022-10-28

Applicant: Hitachi, Ltd.

Inventor： Masato TAMURA ,  Ravigopal VENNELAKANTI

IPC: G08B13/196 ,  G06T7/246 ,  G06V10/25 ,  G06V10/74 ,  G06V20/52 ,  G06V20/64 ,  G06V40/10

CPC classification number: G08B13/19608 ,  G06T7/246 ,  G06V10/25 ,  G06V10/761 ,  G06V20/53 ,  G06V20/64 ,  G06V40/10 ,  G06T2207/30196 ,  G06T2207/30232

Abstract: A method for tracking and monitoring subjects and a plurality of objects. The method may include obtaining an image, wherein the image contains the subjects and the plurality of objects; extracting the subjects and the plurality of objects in the image through first feature extraction; detecting object interactions between the subjects and the plurality of objects; and tracking, through second feature extraction, subject-object pairs having detected object interactions.

公开(公告)号：US20240144129A1

公开(公告)日：2024-05-02

申请号：US17976719

申请日：2022-10-28

Applicant: Hitachi Ltd.

Inventor： Amit KUMAR ,  Pierre HUYN ,  Prasun SINGH ,  Ravigopal VENNELAKANTI ,  Umeshwar DAYAL

IPC: G06Q10/0633 ,  G06Q10/10

CPC classification number: G06Q10/0633 ,  G06Q10/103

Abstract: A method for sharing and analyzing information to support execution of multi-party workflows in an electrification ecosystem. The method may include creating or updating shared data schema and data governance rules associated with data to be received from a plurality of parties, wherein the plurality of parties are stakeholders to the multi-party workflows, and the data is associated with a battery system; submitting the shared data schema and the data governance rules for approval to the plurality of parties; creating or updating decision logics associated with the data to be received; submitting the decision logics for approval to the plurality of parties; receiving the data from the plurality of parties; and applying the approved shared data schema, the approved data governance rules, and the approved decision logics to the multi-party workflows and the received data from the plurality of parties to perform automated decision optimization.

公开(公告)号：US20230169434A1

公开(公告)日：2023-06-01

申请号：US17539130

申请日：2021-11-30

Applicant: Hitachi, Ltd.

Inventor： Amit KUMAR ,  Nam HUYN ,  Shouchun PENG ,  Ravigopal VENNELAKANTI

IPC: G06Q10/06 ,  G06Q30/02

CPC classification number: G06Q10/06375 ,  G06Q10/06315 ,  G06Q10/067 ,  G06Q30/0204

Abstract: A method of providing optimal and personalized business decision making that leverages behavioral economics principles and machine learning techniques is discussed herein. The method may include collecting or simulating data relating to behavioral characteristics of a plurality of stakeholders and analyzing the collected data to construct behavioral economics and machine learning based models related to a business problem. These models can be used to optimize and personalize business interventions to influence consumers' purchasing behavior to achieve the best business outcome (in B2C use cases) and de-bias distorted information sharing in supply chains (in B2B use cases). By contrast, traditional consumer and supply chain analytics solutions lack behavioral insights and often lead to sub-optimal decision making because economic optimization approach alone is not adequate for decision making where behavioral biases are present.

公开(公告)号：US20220138815A1

公开(公告)日：2022-05-05

申请号：US17089944

申请日：2020-11-05

Applicant: Hitachi, Ltd.

Inventor： Prasun Kumar SINGH ,  Ravigopal VENNELAKANTI ,  Amit KUMAR

IPC: G06Q30/04 ,  G06Q20/22 ,  G06Q20/38

Abstract: Example implementations are directed to eliminating or reducing the invoicing business process by using replicated states as single truth for sub-groups participating in a supply chain network involving a large number of transient partners in a low trust ecosystem. All activities of the business process such as invoicing are shared as single truth of replicated states for the subgroup. The confidential data involving terms of reference for business process is shared separately as single truth of replicated states among such partners. The validations for business process such as invoicing can be derived by executing smart contracts on such replicated states that have single truth about transactions among different sub-groups/channels in supply chain, thereby reducing/eliminating need for invoice generation that need to be manually verified, validated and acknowledged among supplier and customers for payments.

公开(公告)号：US20210295124A1

公开(公告)日：2021-09-23

申请号：US16825465

申请日：2020-03-20

Applicant: Hitachi, Ltd.

Inventor： Manish GUPTA ,  Ravigopal VENNELAKANTI ,  Rahul VISHWAKARMA ,  Akira MAEKI ,  Yuki WATANABE

IPC: G06K19/06

Abstract: Example implementations described herein are directed to a tag using a color/pattern coding scheme for better use in industrial settings which may involve curved objects such as pipes. The tag can include one or more anchors indicative of an orientation of the tag; a calibration pattern mapping each of a plurality of colors/patterns to one or more values; and encoded information provided on the tag in one or more of the plurality of colors/patterns. The tag may be printed directly on the object to ensure longevity and readability, or attached as a sticker or printed label depending on the desired implementation.

公开(公告)号：US20170075872A1

公开(公告)日：2017-03-16

申请号：US14855517

申请日：2015-09-16

Applicant: Hitachi, Ltd.

Inventor： Bin TONG ,  Hiroaki OZAKI ,  Makoto IWAYAMA ,  Yoshiyuki KOBAYASHI ,  Ravigopal VENNELAKANTI ,  Anshuman SAHU

IPC: G06F17/22 ,  G06F17/27

CPC classification number: G06F17/2765 ,  E21B47/00

Abstract: The problem solved by this invention is to convert text information in a geology report to numerical values which reflects geological characteristics of a well's subsurface. Prior art referred above cannot be applicable to this problem. Since text information in the geology report is in the natural language form. This information is not widely used in this industry, due to the fact that the text information can be hardly extracted and summarized into numerical values and integrated into current physical geology models or statistical models. This invention makes the text information in geology report, which is often in a natural language form, easier to be integrated into current geology physical models or statistical models. Also, the numerical values extracted from the geology report can be integrated with other kinds of data, such as seismic data and well-logging data, to obtain more accurate and comprehensive analysis results.

Abstract translation: 本发明解决的问题是将地质学报告中的文本信息转换为反映井底地质特征的数值。 上述现有技术不能适用于该问题。 由于地质报告中的文本信息是自然语言形式。 这个信息在这个行业中没有被广泛使用，因为文本信息几乎不能被提取和总结成数值并被整合到当前的物理地质学模型或统计模型中。 本发明使得经常以自然语言形式的地质学报告中的文本信息更容易被纳入当前的地质物理模型或统计模型中。 此外，从地质报告中提取的数值可以与其他类型的数据（如地震数据和测井数据）相结合，以获得更准确，更全面的分析结果。

公开(公告)号：US20160273314A1

公开(公告)日：2016-09-22

申请号：US14662320

申请日：2015-03-19

Applicant: Hitachi, Ltd.

Inventor： Iwao TANUMA ,  Shouchun PENG ,  Hiroshi YOSHIKAWA ,  Masami YAMASAKI ,  Umeshwar DAYAL ,  Ravigopal VENNELAKANTI ,  Anshuman SAHU

IPC: E21B41/00 ,  G06N99/00 ,  G06N7/00 ,  G06Q50/02 ,  G06Q10/06

CPC classification number: G06N99/005 ,  E21B43/00 ,  G06N7/005 ,  G06Q10/067 ,  G06Q50/02

Abstract: Provided is a production amount prediction system including: a storage unit which stores a production amount prediction model which is based on resources information including a resources amount obtained in a previously drilled wellbore and a resources recovery probability in the vicinity thereof; an input unit which receives a trajectory coordinate of a planned wellbore as an input; a production amount prediction unit which calculates a production amount of the planned wellbore based on the production amount prediction model by using a degree of influence of the previous wellbore on the planned wellbore as at least one parameter; and a display unit which displays the production amount of resources of the planned wellbore calculated by the production amount prediction unit.

Abstract translation: 提供一种生产量预测系统，包括：存储单元，其存储基于包括在先前钻井中获得的资源量的资源信息和其附近的资源恢复概率的生产量预测模型; 接收计划井筒的轨迹坐标作为输入的输入单元; 生产量预测单元，其基于所述生产量预测模型，通过使用所述先前井眼对所述计划井眼的影响程度作为至少一个参数来计算所述计划井筒的生产量; 以及显示单元，显示由生产量预测单元计算出的计划井筒的资源的生成量。