公开(公告)号：US20240355196A1

公开(公告)日：2024-10-24

申请号：US18137928

申请日：2023-04-21

申请人： HITACHI, Ltd.

发明人： Ramyar SAEEDI ,  Malarvizhi SANKARANARAYANASAMY ,  Rahul VISHWAKARMA ,  Prasun SINGH ,  Shouchun PENG ,  Ravigopal VENNELAKANTI

IPC分类号： G08G1/01 ,  G01C21/32 ,  G01S19/42

CPC分类号： G08G1/0125 ,  G01C21/32 ,  G01S19/42

摘要： A method for demand estimation. The method may include collecting people flow data from a network of a plurality of sensors within an area of interest, wherein each sensor of the plurality of sensors is associated with a user device; processing the people flow data to generate movement trajectories; mapping the movement trajectories to existing transportation network; aggregating the movement trajectories associated with the network of the plurality of sensors to estimate movement flow density; for the people flow data representing less than entire population of the area of interest, performing data simulation to rescale the movement flow density; classifying the people flow data into different transportation types; and generating flow-demand matching by matching current demand with transportation resource information.

公开(公告)号：US20240249375A1

公开(公告)日：2024-07-25

申请号：US18100981

申请日：2023-01-24

申请人： Hitachi, Ltd.

发明人： Malarvizhi SANKARANARAYANASAMY ,  Ravigopal VENNELAKANTI ,  Prasun Kumar SINGH ,  Ramyar SAEEDI ,  Rahul VISHWAKARMA ,  Shouchun PENG

IPC分类号： G06Q50/30 ,  G06Q10/0637

CPC分类号： G06Q50/30 ,  G06Q10/0637 ,  G06Q10/0631

摘要： In example implementations described herein, there are systems and methods for providing service partner recommendations in a transportation network associated with a plurality of transit-oriented service providers. The systems and method may include receiving a request for a service related to at least one aspect of the transportation network; obtaining information regarding a current state of the transportation network, where the information regarding the current state of the transportation network includes a set of service-preference parameters for the plurality of transit-oriented service providers; generating, based on an analysis of the request for the service and the information regarding the current state of the transportation network, a set of recommended partners and a set of recommended agreement parameters; and outputting the set of recommended partners and the set of recommended agreement parameters to at least one service provider in the plurality of transit-oriented service providers for acceptance.

公开(公告)号：US20220027558A1

公开(公告)日：2022-01-27

申请号：US16937093

申请日：2020-07-23

申请人： Hitachi, Ltd.

发明人： Ken SUGIMOTO ,  Kazuhide AIKOH ,  Shouchun PENG ,  Jose Luis BELTRAN-GUERRERO

IPC分类号： G06F40/279 ,  G06F40/242 ,  G06F40/253

摘要： Example implementations described herein involve extracting keywords and dependency information from a text; and generating a co-occurrence dictionary for the text, the generating the co-occurrence dictionary involving selecting ones of the keywords for inclusion in the co-occurrence dictionary based on a number of times the ones of the keywords satisfy the dependency rules; determining for the selected ones of the keywords included in the co-occurrence dictionary, surrounding words to be associated with the selected ones of the keywords in the co-occurrence dictionary based on a number of instances of co-occurrence of the surrounding words with the selected ones of the keywords; and generating weights for each of the selected ones of the keywords in the co-occurrence dictionary based on a number of the surrounding words associated with the selected ones of the keywords.

公开(公告)号：US20230169434A1

公开(公告)日：2023-06-01

申请号：US17539130

申请日：2021-11-30

申请人： Hitachi, Ltd.

发明人： Amit KUMAR ,  Nam HUYN ,  Shouchun PENG ,  Ravigopal VENNELAKANTI

IPC分类号： G06Q10/06 ,  G06Q30/02

CPC分类号： G06Q10/06375 ,  G06Q10/06315 ,  G06Q10/067 ,  G06Q30/0204

摘要： 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：US20160273314A1

公开(公告)日：2016-09-22

申请号：US14662320

申请日：2015-03-19

申请人： Hitachi, Ltd.

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

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

CPC分类号： G06N99/005 ,  E21B43/00 ,  G06N7/005 ,  G06Q10/067 ,  G06Q50/02

摘要： 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.

摘要翻译： 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。