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1. 发明申请

WO2013024490A3 SYSTEM AND METHOD FOR MULTIPLEXING VIDEO CONTENTS FROM MULTIPLE BROADCASTING CHANNELS INTO SINGLE BROADCASTING CHANNEL 审中-公开
公开(公告)号：WO2013024490A3
公开(公告)日：2013-02-21
申请号：PCT/IN2012/000454
申请日：2012-06-26
申请人： TATA CONSULTANCY SERVICES LIMITED , PAL, Arpan , SINHA, Aniruddha , SAHA, Arindam , GHOSH, Hiranmay , SHROFF, Gautam
发明人： PAL, Arpan , SINHA, Aniruddha , SAHA, Arindam , GHOSH, Hiranmay , SHROFF, Gautam
IPC分类号： H04N7/12
摘要： A method and system for multiplexing of multiple channels of video data through a single analog broadcasting channel is disclosed. The method enables a spatial and temporal multiplexing of videos of each of the multiple channels. The multiplexed content is created as a result of multiplexing that is encoded to generate digital transport stream that is transmitted through analog medium. The system enables a STB receiver to decode each of the videos from the stream. At least one video from the multiple videos is played on the television based on user selection.

2. 发明申请

WO2013051020A9 A METHOD AND SYSTEM FOR DISTANCE EDUCATION BASED ON ASYNCHRONOUS INTERACTION 审中-公开
公开(公告)号：WO2013051020A9
公开(公告)日：2013-04-11
申请号：PCT/IN2012/000445
申请日：2012-06-22
申请人： TATA CONSULTANCY SERVICES LIMITED , GHOSH, Hiranmay , SHROFF, Gautam , PAL, Arpan , DASGUPTA, Ranjan , OBEROI, Tavleen , WATTAMWAR, Sujal, Sbhash , CHAKRAVARTY, Kingshuk
发明人： GHOSH, Hiranmay , SHROFF, Gautam , PAL, Arpan , DASGUPTA, Ranjan , OBEROI, Tavleen , WATTAMWAR, Sujal, Sbhash , CHAKRAVARTY, Kingshuk
IPC分类号： G06Q10/00
摘要： The present invention describes a novel framework for distance education that enables asynchronous interaction between expert teachers and remote classrooms. In an embodiment, the present invention describes a method for enabling asynchronous interaction between a facilitator and at least one user that are geographically separated from each other. A multimedia-based message from the facilitator may be sent to a broadcasting station over a network. The broadcasting station broadcasts the multimedia-based message to the user through a network having large bandwidth such a satellite network using Direct-To-Home technology. In an aspect, the multimedia-based message may be created by the facilitator himself.

3. 发明申请

WO2012172561A1 ENTERPRISE INFORMATION FUSION 审中-公开
标题翻译：企业信息融合
公开(公告)号：WO2012172561A1
公开(公告)日：2012-12-20
申请号：PCT/IN2012/000118
申请日：2012-02-20
申请人： TATA CONSULTANCY SERVICES LIMITED , SHROFF, Gautam , AGARWAL, Puneet , DEY, Lipika
发明人： SHROFF, Gautam , AGARWAL, Puneet , DEY, Lipika
IPC分类号： G06Q10/06
CPC分类号： G06Q10/06
摘要： Systems and methods related to enterprise information fusion are described. The method comprises obtaining event information corresponding to at least one event, wherein the at least one event includes at least one of an incident and a customer feedback. Based on the event information, information corresponding to at least one entity associated with at least one operation of an enterprise is retrieved, from a plurality of entity information sources. An impact of the at least one event on the at least one entity is determined. Based on the determination of the impact, a risk associated with the at least one event on the at least one operation of the enterprise is evaluated. An alert is generated, based on the evaluation, where the alert is indicative of the risk.
摘要翻译：描述与企业信息融合相关的系统和方法。所述方法包括获得与至少一个事件相对应的事件信息，其中所述至少一个事件包括事件和客户反馈中的至少一个。基于事件信息，从多个实体信息源检索与至少一个与企业的至少一个操作相关联的实体对应的信息。确定至少一个事件对至少一个实体的影响。基于影响的确定，评估与企业的至少一个操作中的至少一个事件相关联的风险。根据评估产生警报，其中警报指示风险。

4. 发明申请

WO2012053001A2 VIRTUAL OFFICE ENVIRONMENT 审中-公开
标题翻译：虚拟办公环境
公开(公告)号：WO2012053001A2
公开(公告)日：2012-04-26
申请号：PCT/IN2011/000671
申请日：2011-09-28
申请人： TATA CONSULTANCY SERVICES LIMITED , SHROFF, Gautam , SHARMA, Geetika
发明人： SHROFF, Gautam , SHARMA, Geetika
IPC分类号： H04L29/06 , G06Q10/10 , H04L29/08 , A63F13/12 , G06F3/01
CPC分类号： H04L67/18 , G06Q10/10 , G06Q50/01 , H04L67/141 , H04L67/38 , H04W4/023 , H04W4/029
摘要： Systems and methods for implementing a virtual environment system (102) are disclosed herein. A virtualization module (110) of the virtual environment system (102) receives a change in position of an avatar in a virtual environment from a client device (104) associated with the virtual environment system (102). The received change is based on a grid based architecture of the virtual environment. Further, the virtualization module (110) renders the position of the avatar in the virtual environment, based on the received change from the client device (104).
摘要翻译：本文公开了用于实现虚拟环境系统（102）的系统和方法。虚拟环境系统（102）的虚拟化模块（110）从与虚拟环境系统（102）相关联的客户端设备（104）接收虚拟环境中的化身的位置变化。所接收的更改基于虚拟环境的基于网格的体系结构。此外，虚拟化模块（110）基于从客户端设备（104）接收到的改变来呈现虚拟环境中的化身的位置。

5. 发明申请

WO2013005227A1 SYSTEM AND METHOD FOR INFORMATION FUSION 审中-公开
标题翻译：信息融合的系统和方法
公开(公告)号：WO2013005227A1
公开(公告)日：2013-01-10
申请号：PCT/IN2012/000117
申请日：2012-02-20
申请人： TATA CONSULTANCY SERVICES LIMITED , SHROFF, Gautam , AGARWAL, Puneet , SHARMA, Saurabh , BHAT, Shefali
发明人： SHROFF, Gautam , AGARWAL, Puneet , SHARMA, Saurabh , BHAT, Shefali
IPC分类号： G06N5/02
CPC分类号： G06N5/02
摘要： Methods and systems for information fusion are described herein. In one implementation, the method includes posting a fact on a layered memory structure (126) and indexing the posted fact to a group, such that facts with a similar property measure are indexed to same group. Further, one or more knowledge modules (122) are applied on the posted fact and one or more input facts indexed to the group. Based on the application of the one or more knowledge modules (122) an output fact is provided and it is determined whether the output fact is a deduced fact based on a probability estimate.
摘要翻译：本文描述了用于信息融合的方法和系统。在一个实现中，该方法包括在分层存储器结构（126）上发布事实并将发布的事实索引到组，使得具有相似属性度量的事实被索引到同一组。此外，将一个或多个知识模块（122）应用于已发布的事实以及索引到该组的一个或多个输入事实。基于一个或多个知识模块（122）的应用，提供输出事实，并且基于概率估计确定输出事实是否是推导的事实。

6. 发明申请

WO2017216647A1 HEALTH MONITORING AND PROGNOSTICS OF A SYSTEM 审中-公开
标题翻译：一个系统的健康监测和预测
公开(公告)号：WO2017216647A1
公开(公告)日：2017-12-21
申请号：PCT/IB2017/051621
申请日：2017-03-21
申请人： TATA CONSULTANCY SERVICES LIMITED
发明人： MALHOTRA, Pankaj , TV, Vishnu , RAMAKRISHNAN, Anusha , ANAND, Gaurangi , VIG, Lovekesh , AGARWAL, Puneet , SHROFF, Gautam
IPC分类号： G06F17/15
CPC分类号： G06K9/6247 , G05B23/0243 , G06K9/00523 , G06K9/00563
摘要： The present disclosure relates to sequence to sequence mapper based systems and methods for health monitoring and prognostics of a system via a health index (HI). The sequence to sequence mapper learns to reconstruct normal time series behavior, and thereafter uses reconstruction error to estimate the HI. The HI is used for generating health behavior trend, detection of anomalous behavior, and remaining useful life (RUL) pertaining to a monitored system. The present disclosure does not rely on domain knowledge, as in the prior art, when estimating the health index. The HI of the monitored system can be determined irrespective of the predictability of the time series data generated from the monitored system. Likewise, the present disclosure is relevant to time series data of varying nature: predictable, unpredictable, periodic, aperiodic, and quasi-periodic time series; short time series and long time series; and univariate and multivariate time series.
摘要翻译：本公开涉及用于经由健康指数（HI）对系统进行健康监测和预测的基于序列映射器的系统和方法。序列映射器学习重构正常的时间序列行为，然后使用重构误差来估计HI。 HI用于产生健康行为趋势，检测异常行为和与监测系统有关的剩余使用寿命（RUL）。当在估计健康指数时，本公开不像在现有技术中那样依赖于领域知识。无论监测系统产生的时间序列数据的可预测性如何，都可以确定被监测系统的HI。同样地，本公开涉及具有不同性质的时间序列数据：可预测的，不可预知的，周期性的，非周期性的和准周期性的时间序列; 短时间序列和长时间序列; 和单变量和多变量时间序列。

7. 发明申请

WO2020110149A2 SYSTEM AND METHOD FOR OPERATION OPTIMIZATION OF AN EQUIPMENT 审中-公开
公开(公告)号：WO2020110149A2
公开(公告)日：2020-06-04
申请号：PCT/IN2019/050871
申请日：2019-11-28
申请人： TATA CONSULTANCY SERVICES LIMITED
发明人： TANKASALA VEPARALA, Vishnu , MANUELRAJ, Solomon Pushparaj , BANSAL, Ankit , MALHOTRA, Pankaj , VIG, Lovekesh , SHROFF, Gautam , RUNKANA, Venkataramana , SUBRAMANIAN, Sivakumar , PAREEK, Aditya , MASAMPALLY, Vishnu Swaroopji , RAJ, Nishit
IPC分类号： G06N20/00
摘要： This disclosure relates to optimizing an operation of an equipment by a neural network based optimizer is provided. The method include receiving, information associated with at least one equipment instance (j) as an input at a predefined sequence of timestamps; training, a plurality of simulation models for each equipment instance to obtain a function (f j ); processing, the external input parameters (e t ) to obtain a fixed-dimensional vector and passed as an input to obtain an vector (i t ); generating, a modified (i t ) from the output vector (i t ) based on a domain constraint value; computing, a reward (r t ) based on (i) the function (f j ), (ii) the modified (i t ), (iii) the external input parameters (e t ), and (iv) a reward function (R j ); and iteratively performing the steps of processing, generating, and computing reward (r t ) for a series of subsequent equipment instances after expiry of the predefined sequence of timestamps associated with a first equipment instance.

8. 发明申请

WO2020261234A1 SYSTEM AND METHOD FOR SEQUENCE LABELING USING HIERARCHICAL CAPSULE BASED NEURAL NETWORK 审中-公开
公开(公告)号：WO2020261234A1
公开(公告)日：2020-12-30
申请号：PCT/IB2020/056101
申请日：2020-06-27
申请人： TATA CONSULTANCY SERVICES LIMITED
发明人： SRIVASTAVA, Saurabh , AGARWAL, Puneet , SHROFF, Gautam , VIG, Lovekesh
IPC分类号： G06F17/28 , G06F17/27
摘要： This disclosure relates generally to sequence labeling and more particularly to method and system for sequence labeling. The method includes employing a hierarchical capsule based neural network for sequence labeling, which includes a sentence encoding layer (having word embedding layer, feature extraction layer and multiple capsule layer) and a document encoding layer, Bi-LSTMs, a fully connected layer and a conditional random fields (CRF) layer. The word embedding Layer obtains fixed-size vector representation of words of sentences associated with a dialogue or an abstract, then the feature extraction layer encodes the sentences, the Capsule layer extracts high-level features from the sentence. Ah the sentence encodings are then stacked up together and are passed through another Bi-LSTM layer to derive the contextual information from sentences. A fully connected layer calculates likelihood scores. The CRF layer obtains optimized label sequence based on the likelihood scores.

9. 发明申请

WO2018069817A1 SYSTEM AND METHOD FOR PREDICTING REPEAT BEHAVIOR OF CUSTOMERS 审中-公开
标题翻译：系统和方法预测客户的重复行为
公开(公告)号：WO2018069817A1
公开(公告)日：2018-04-19
申请号：PCT/IB2017/056227
申请日：2017-10-09
申请人： TATA CONSULTANCY SERVICES LIMITED
发明人： AGARWAL, Puneet , KAZMI, Auon Haidar , SHROFF, Gautam
IPC分类号： G06E1/00
摘要： System and method for predicting repeat behaviour of customers are disclosed. In an embodiment, the method includes abstracting a customer interaction data associated with interactions of the customer with respect a target entity into a common data format (CDF) to obtain an abstracted customer interaction data. Based on at least a portion of the abstracted customer interaction data, a set of features corresponding to the target entity are extracted. The set of features characterizes customer interaction with respect to the target entity. Based on the set of features, a prediction model is predicted to predict repeat behaviour probability of the customer with respect to the target entity.
摘要翻译：公开了用于预测顾客的重复行为的系统和方法。在一个实施例中，该方法包括将与客户关于目标实体的交互相关联的客户交互数据提取为公共数据格式（CDF）以获得抽象的客户交互数据。基于抽象的客户交互数据的至少一部分，提取对应于目标实体的一组特征。这组功能描述了客户与目标实体之间的交互。基于这组特征，预测预测模型以预测客户相对于目标实体的重复行为概率。

10. 发明申请

WO2017093953A1 METHOD AND SYSTEM FOR PURCHASE BEHAVIOR PREDICTION OF CUSTOMERS 审中-公开
标题翻译：客户购买行为预测的方法和系统
公开(公告)号：WO2017093953A1
公开(公告)日：2017-06-08
申请号：PCT/IB2016/057292
申请日：2016-12-02
申请人： TATA CONSULTANCY SERVICES LIMITED
发明人： MALHOTRA, Pankaj , ANAND, Gaurangi , KAZMI, Auon Haidar , VIG, Lovekesh , AGARWAL, Puneet , SHROFF, Gautam
IPC分类号： G06F15/18 , G06Q30/06
CPC分类号： G06Q30/06 , G06Q30/02
摘要： A method and a system to enable customer behavior prediction are disclosed. Temporal and aggregate features with respect to purchases made by a customer are extracted from purchase history of customers. Further, temporal and aggregate models are generated corresponding to the features extracted, wherein the temporal and aggregate models are data of a first type and data of a second type respectively. Further, a Mixture of Experts (ME) is used to process the temporal and aggregate models that are of different types of data, to build a combined model, and purchase behavior of the customer is identified based on the combined model.
摘要翻译：公开了一种用于实现顾客行为预测的方法和系统。关于客户购买的时间和集合特征是从客户的购买历史中提取的。进一步地，对应于提取的特征生成时间和聚合模型，其中时间和聚合模型分别是第一类型的数据和第二类型的数据。此外，专家混合（ME）用于处理具有不同类型数据的时间和聚合模型，构建组合模型，并基于组合模型识别客户的购买行为。

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