公开(公告)号：US20230031390A1

公开(公告)日：2023-02-02

申请号：US17391848

申请日：2021-08-02

Applicant: Hitachi, Ltd.

Inventor： Yasutaka SERIZAWA ,  Sudhanshu GAUR

IPC: G05B19/4155 ,  G06N20/00

Abstract: Example implementations described herein involve systems and methods that can involve extracting features from each of a plurality of time-series sensor data, the plurality of time-series sensor data associated with execution of one or more operations; clustering the extracted features into a plurality of tasks that occur from execution of the one or more operations, each of the plurality of tasks associated with a clustering identifier (ID) from the clustering; and calculating a cycle time of the cycle based on the initiation and end of the cycle recognized by referencing a cycle pattern model, wherein the cycle pattern model comprises configuration information of a cycle including a set from a plurality of the clustering IDs.

公开(公告)号：US20140029662A1

公开(公告)日：2014-01-30

申请号：US14037743

申请日：2013-09-26

Applicant: Hitachi, Ltd.

Inventor： Sudhanshu GAUR

IPC: H04B7/06

CPC classification number: H04L25/03891 ,  H04B7/0452 ,  H04L25/03057 ,  H04L25/03343

Abstract: A technique is used to realize a generalized decision feedback equalizer (GDFE) Precoder for multi-user multiple-input multiple-output (MU-MIMO) systems, which significantly reduces the computational cost while resulting in no capacity loss. The technique is suitable for improving the performance of various MU-MIMO wireless systems including future 4G cellular networks. In one embodiment, a method for configuring a GDFE precoder in a base station of a MU-MIMO wireless system having k user terminals, each user terminal having associated therewith a feedforward filter. The method comprises computing a filter matrix C using one of a plurality of alternative formulas of the invention; and, based on the computation of the filter matrix C, computing a transmit filter matrix B for a transmit filter used to process a symbol vector obtained after a decision feedback equalizing stage of the GDFE precoder, a feedforward filter matrix F, and an interference pre-cancellation matrix G.

Abstract translation: 一种技术用于实现多用户多输入多输出（MU-MIMO）系统的广义判决反馈均衡器（GDFE）预编码器，显着降低了计算成本，同时导致无容量损失。 该技术适用于改善包括未来4G蜂窝网络在内的各种MU-MIMO无线系统的性能。 在一个实施例中，一种用于在具有k个用户终端的MU-MIMO无线系统的基站中配置GDFE预编码器的方法，每个用户终端具有与其相关联的前馈滤波器。 该方法包括使用本发明的多个替代公式之一来计算滤波器矩阵C; 并且基于滤波器矩阵C的计算，计算用于处理在GDFE预编码器的判定反馈均衡级，前馈滤波器矩阵F和干扰预处理之后获得的符号向量的发射滤波器的发射滤波器矩阵B 取消矩阵G.

公开(公告)号：US20240428174A1

公开(公告)日：2024-12-26

申请号：US18212950

申请日：2023-06-22

Applicant: HITACHI, Ltd.

Inventor： Sudhanshu GAUR ,  Joydeep ACHARYA

IPC: G06Q10/067 ,  G06N5/022 ,  G06Q10/0639

Abstract: Systems and methods for automating process setting to a target factory, which can involve creating templatized business terms, templatized business data configurator logics, and a templatized data profile by machine learning from training data from at least one reference factory; storing the templatized business terms, the templatized business data configurator logics, and the templatized data profile into a knowledge graph; querying the knowledge graph with a data profile of the target factory to obtain corresponding templated business terms; and applying the corresponding templated business terms and corresponding templated business data configurator logics to a data catalogue of the target factory.

公开(公告)号：US20200012860A1

公开(公告)日：2020-01-09

申请号：US16026499

申请日：2018-07-03

Applicant: Hitachi, Ltd.

Inventor： Joydeep ACHARYA ,  Satoshi KATSUNUMA ,  Sudhanshu GAUR

IPC: G06K9/00 ,  G06K9/80 ,  G06K9/32

Abstract: Example implementations described herein are directed to systems and methods for non-invasive data extraction from digital displays. In an example implementation, a method includes receiving one or more video frames from a video capture device capturing an external display, where the external display is independent the video capture device; determining one or more locations within the external display comprising time varying data of the external display; and for each identified location of the time varying data: determining a data type; applying one or more rules based on the data type; and determining an accuracy of the time varying data within the one or more frames based on the rules.

公开(公告)号：US20180013635A1

公开(公告)日：2018-01-11

申请号：US15201661

申请日：2016-07-05

Applicant: Hitachi, Ltd.

Inventor： Joydeep ACHARYA ,  Sudhanshu GAUR

IPC: H04L12/24 ,  H04L12/26 ,  H04L29/08 ,  H04W4/02

CPC classification number: H04L41/147 ,  H04L43/0829 ,  H04L43/0852 ,  H04L67/303 ,  H04W4/029 ,  H04W4/38 ,  H04W24/04

Abstract: In some examples, a computing device may determine a prediction of a network outage of a network. The computing device may determine a priority of one or more data types expected to be received during the network outage. Further, the computing device may determine a latency category of the one or more data types expected to be received during the network outage. The computing device may store a data transmission rule for the one or more data types at least partially based on the priority and the latency category. The computing device may receive, from one or more data generators, during the network outage, data for transmission to the network. The computing device may transmit at least some of the received data to the network at least partially based on the data transmission rule.

公开(公告)号：US20210034031A1

公开(公告)日：2021-02-04

申请号：US16530448

申请日：2019-08-02

Applicant: Hitachi, Ltd.

Inventor： Joydeep ACHARYA ,  Sudhanshu GAUR

IPC: G05B19/05

Abstract: In example implementations described herein, the power of time series machine learning is used to extract the statistics of Programmable Logic Controller (PLC) data and external sensor data. The accuracy of time series machine learning is improved by manufacturing context-dependent segmentation of the time series into states which is factory may be in. The invention can capture subtle trends in these time series data and be able to classify them into several outcomes from ICS security attacks to normal anomalies and machine/sensor failures.

公开(公告)号：US20200370995A1

公开(公告)日：2020-11-26

申请号：US16421978

申请日：2019-05-24

Applicant: Hitachi, Ltd.

Inventor： Daisuke MAEDA ,  Sudhanshu GAUR

IPC: G01M13/00 ,  H04L29/08 ,  G06N20/00

Abstract: Example implementations described herein are directed to systems and methods for extracting signal in presence of strong noise for industrial Internet of Things (IoT) system especially for monitoring systems of consumable items such as lathe machines, coolers and so on. Example implementations can utilize a sawtooth mother Wavelet instead of usual wavelet analysis to cleanse the incoming sensor data, thereby allowing for the converting sensor data to feature values despite having heavy noise interference.

公开(公告)号：US20200124572A1

公开(公告)日：2020-04-23

申请号：US16166596

申请日：2018-10-22

Applicant: Hitachi, Ltd.

Inventor： Yasutaka SERIZAWA ,  Sudhanshu GAUR ,  Yusuke SHOMURA

IPC: G01N29/14 ,  H04R3/00 ,  H04R1/40 ,  G01R33/00

Abstract: Systems and methods described herein are directed to a specialized Internet of Things (IoT) device deploying both acoustic and radio wave signals. In example implementations described herein, camera data and acoustic sensor data is integrated to generate an acoustic sensor heatmap for the holistic sensing systems in an IoT area.

公开(公告)号：US20180097830A1

公开(公告)日：2018-04-05

申请号：US15284621

申请日：2016-10-04

Applicant: Hitachi, Ltd.

Inventor： Takeshi SHIBATA ,  Sudhanshu GAUR

IPC: H04L29/06 ,  H04L29/08 ,  H04W12/12

CPC classification number: H04L63/1425 ,  G06F21/552 ,  G06F21/577 ,  G06F2221/2111 ,  G06F2221/2151 ,  H04L67/12 ,  H04L67/18 ,  H04L67/28 ,  H04L67/2814 ,  H04W12/1201

Abstract: In some examples, a computing device may receive sensed data of a first sensor sent in a first transmission. The computing device may associate a first timestamp with the sensed data. Further, the computing device may receive, from other sensors, first signal strength information including first signal strength data and a first signal property related to the first transmission, and a second timestamp corresponding to detection of the first transmission. The computing device may receive, from other sensors, second signal strength information including second signal strength data and a second signal property related to a second transmission, and a third timestamp corresponding to detection of the second transmission. When the third timestamp is later than the first timestamp and the first signal property matches the second signal property, the computing device may indicate that a sensor that sent the second transmission is associated with an anomaly.

公开(公告)号：US20170215094A1

公开(公告)日：2017-07-27

申请号：US15004179

申请日：2016-01-22

Applicant: HITACHI, LTD.

Inventor： Salam AKOUM ,  Jeremy OESTERGAARD ,  Sudhanshu GAUR

IPC: H04W24/08 ,  H04W24/02 ,  H04L12/26

CPC classification number: H04W24/08 ,  H04L41/0823 ,  H04L41/142 ,  H04L41/147 ,  H04L41/16 ,  H04L41/22 ,  H04L41/5009 ,  H04L41/5025 ,  H04L43/026 ,  H04L43/08 ,  H04L43/0852 ,  H04W16/18 ,  H04W24/02 ,  H04W24/04 ,  H04W84/12

Abstract: Example implementations involve a quality analysis and optimization module to monitor the health of the wireless channels in WLAN networks. Example implementations involve a framework for deriving a model of wireless link quality metrics as a function of higher layer transport protocols metrics. Example implementations then utilize the model to analyze and perform root cause analysis and optimization of WLAN networks to improve the quality of experience of wireless users.