公开(公告)号：US20180039928A1

公开(公告)日：2018-02-08

申请号：US15227123

申请日：2016-08-03

Applicant: XEROX CORPORATION

Inventor： Atul Singh ,  Arpit Jain ,  Rahul Ghosh ,  Jagadeesh Chandra Bose Rantham Prabhakara ,  Gurulingesh Raravi ,  Preethy Varma ,  Koustuv Dasgupta

IPC: G06Q10/06 ,  G09B5/08

CPC classification number: G06Q10/063112 ,  G06Q10/06313 ,  G06Q10/105 ,  G09B5/08

Abstract: A method and a system are provided for role-based auto-selection of employees for trainings associated with skills required in a project. The method comprising receiving a request for the project. The method may extract one or more current skills of one or more employees based on the received request. The method for a required role in a project may further determine, a proficiency gap between the one or more required skills and the one or more current skills for each of the one or more employees. The method for a required role in a project may prioritize the one or more required skills for each of the one or more employees based on the determined proficiency gap. The method may select a set of employees from the one or more employees for one or more skill-based trainings.

公开(公告)号：US20180025374A1

公开(公告)日：2018-01-25

申请号：US15215634

申请日：2016-07-21

Applicant: XEROX CORPORATION

Inventor： Rahul Ghosh ,  Soumi Chattopadhyay ,  Ansuman Banerjee ,  Koustuv Dasgupta ,  Preethy Varma

IPC: G06Q30/02 ,  G06Q10/06

CPC classification number: G06Q30/0208 ,  G06Q10/063114 ,  G06Q10/06393

Abstract: Embodiments of a system and a method for design and implementation of an employee incentive scheme for one or more tasks are disclosed. The system includes a data input module and a unified incentive module. The data input module on a computer with a processor and a memory being configured to: receive a task for a plurality of employees from the user device; and identify whether or not a task is associated with a predetermined baseline. The task is identified as a routine task if associated with the predetermined baseline, else the task is identified as a special task. The unified incentive module on the computer is configured to compute a task incentive for at least one of the routine task and the special task associated with an employee among multiple employees.

公开(公告)号：US20180052675A1

公开(公告)日：2018-02-22

申请号：US15237996

申请日：2016-08-16

Applicant: XEROX CORPORATION

Inventor： Rahul Ghosh ,  Varun Sharma ,  Ajith Ramanath ,  Atul Singh ,  Koustuv Dasgupta

IPC: G06F9/445 ,  G06F11/36

CPC classification number: G06F8/65 ,  G06F11/3604

Abstract: A method and a system are provided to manage analytics assets associated with at least one computer accessible to an organization using operating system (OS) containers. The method comprising receiving a request to process of a task on the user computing device. The method further select a set of analytics assets from a first category, based on at least one of a role of the user in the organization and a historical usage of the one or more analytics assets or a second category that corresponds to the user and are included in the container image associated with the user. The method further update the container image of the user, based on at least the selection of the set of analytics assets from the first category. The method further render the selected set of analytics assets through the updated container image on the user computing device of the user.

公开(公告)号：US20180025428A1

公开(公告)日：2018-01-25

申请号：US15216995

申请日：2016-07-22

Applicant: XEROX CORPORATION

Inventor： Arpit Jain ,  Anirban Mondal ,  Rahul Ghosh

IPC: G06Q40/06 ,  G06Q30/02

CPC classification number: G06Q40/06 ,  G06Q30/0201

Abstract: The present disclosure discloses methods and systems for analyzing the financial reports of a plurality of companies of a particular industry, to identify one or more companies with different investment risks. A pre-defined section that corresponds to investment risk related qualitative details, is extracted from the financial reports of the plurality of companies, and a normalized feature vector is created. Next, a similarity between each normalized feature vector is computed, such that one or more companies with least similarity correspond to having different investment risks.

公开(公告)号：US09747797B1

公开(公告)日：2017-08-29

申请号：US15080660

申请日：2016-03-25

Applicant: XEROX CORPORATION

Inventor： Rahul Ghosh ,  Anirban Mondal

IPC: B60Q1/48 ,  G08G1/14 ,  G06Q50/30

CPC classification number: G08G1/144 ,  G06Q50/30 ,  G08G1/005 ,  G08G1/143 ,  G08G1/146 ,  H04W4/024 ,  H04W4/44

Abstract: The disclosed embodiments illustrate methods and systems for predicting an availability of a parking spot in a parking area. The method includes generating a first signature for each of one or more first users. The first signature is generated based on at least a first set of data received from at least one or more first sensors in a first user-computing device associated with each of the one or more first users. The method further includes generating a second signature for each of the one or more first vehicles, based on at least a second set of data received from one or more second sensors in a first vehicle-computing device associated with each of the one or more first vehicles. Further, the method includes determining a likelihood of the availability of the one or more parking spots based on at least the first signature and the second signature.

公开(公告)号：US20180004499A1

公开(公告)日：2018-01-04

申请号：US15197808

申请日：2016-06-30

Applicant: XEROX CORPORATION

Inventor： Rahul Ghosh ,  Tridib Mukherjee ,  Aditya Hegde ,  Varun Sharma

IPC: G06F9/445 ,  G06F9/50

CPC classification number: G06F8/61 ,  G06F9/5083

Abstract: A method and a system are provided for provisioning an application on one or more physical machines by use of operating system (OS) containers to resolve OS process overheads. The method includes receiving a first set of parameters and service level agreements (SLAs) of the application. The method further includes extracting a second set of parameters of each of the one or more physical machines. Further, the method includes determining a count of OS containers to deploy in parallel for each physical machine, based on the first set of parameters of the application and the second set of parameters of the each physical machine. The method further includes processing the application on the each physical machine based on at least the plurality of the determined count of OS containers such that a second provision time of the application is less or equal to the first provision time.