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    • 4. 发明授权
    • Method and system for determining an average walk distance to a service
    • 用于确定与服务的平均步行距离的方法和系统
    • US07987051B2
    • 2011-07-26
    • US12256215
    • 2008-10-22
    • Shanmuga-Nathan GnanasambandamVenkatesh Guru RaoNaveen Sharma
    • Shanmuga-Nathan GnanasambandamVenkatesh Guru RaoNaveen Sharma
    • G06G7/78
    • G06Q10/047G01C21/20G06Q10/063G06Q90/20
    • A system for determining an average walk distance for a plurality of users of print-related services may include a processor, a processor-readable storage medium in communication with the processor and an output device in communication with the processor. The processor-readable storage medium may include programming instructions for identifying a plurality of print-related services in a facility and identifying a total number of users associated with the plurality of services. For each identified user, the processor-readable storage medium may include programming instructions for identifying the services used by the user, determining a usage level associated with the services, determining a distance between the user and the service, determining an average walk distance for the users and displaying, on the output device, the average walk distance.
    • 用于确定打印相关服务的多个用户的平均步行距离的系统可以包括与处理器通信的处理器,处理器可读存储介质和与处理器通信的输出设备。 处理器可读存储介质可以包括用于识别设施中的多个打印相关服务的编程指令,并且识别与多个服务相关联的用户的总数。 对于每个识别的用户,处理器可读存储介质可以包括用于识别用户使用的服务的程序指令,确定与服务相关联的使用水平,确定用户与服务之间的距离,确定用户和服务之间的平均步行距离 用户并在输出设备上显示平均步行距离。
    • 5. 发明授权
    • Systems and methods of partitioning data for synchronous parallel processing
    • 用于同步并行处理的数据分区系统和方法
    • US08429165B1
    • 2013-04-23
    • US13413978
    • 2012-03-07
    • Gueyoung JungShanmuga-Nathan GnanasambandamTridib Mukherjee
    • Gueyoung JungShanmuga-Nathan GnanasambandamTridib Mukherjee
    • G06F17/30
    • G06F9/505G06F17/3089
    • Methods and systems for partitioning data for processing in a plurality of data centers are disclosed. For each of a plurality of data centers, a time period required for the data center to process an amount of information may be estimated. The plurality of data centers may be ordered based on the time period for each data center. Data may be received from one or more sources. A data center having a smallest time period from the ordered plurality of data centers may be selected to be added to a set of data centers. An overall execution time for the set of data centers to process the data may be determined. The selecting and determining operations may be repeated until the overall execution time satisfies one or more threshold criteria. The data may be transmitted to the set of data centers.
    • 公开了用于分割用于在多个数据中心中进行处理的数据的方法和系统。 对于多个数据中心中的每一个,可以估计数据中心处理信息量所需的时间段。 可以基于每个数据中心的时间段来排序多个数据中心。 可以从一个或多个来源接收数据。 可以选择具有来自有序多个数据中心的最小时间周期的数据中心以被添加到一组数据中心。 可以确定用于处理数据的数据中心集合的总执行时间。 可以重复选择和确定操作,直到总体执行时间满足一个或多个阈值标准。 数据可以被发送到数据中心集合。
    • 6. 发明申请
    • SYSTEMS AND METHODS FOR BEHAVIORAL PATTERN MINING
    • 用于行为图案采矿的系统和方法
    • US20130346447A1
    • 2013-12-26
    • US13529111
    • 2012-06-21
    • Changjun WuShanmuga-Nathan GnanasambandamGueyoung JungShi Zhao
    • Changjun WuShanmuga-Nathan GnanasambandamGueyoung JungShi Zhao
    • G06F17/30
    • G06F17/30876G06F17/30867
    • Methods and systems of performing data mining may include receiving a plurality of web log records and a plurality of call log records; associating one or more web log records with a call log record, wherein the associated user for each of the associated one or more web log records and the call log record are the same; identifying one or more patterns among the web log records for the plurality of call log records, wherein each pattern comprises one or more web accesses, a time stamp at which each of the one or more web accesses is performed and the call topic for the call log record; identifying one or more web log records associated with a new call, and predicting a call topic for the new call based on at least one pattern and the one or more web log records.
    • 执行数据挖掘的方法和系统可以包括接收多个web日志记录和多个呼叫记录记录; 将一个或多个Web日志记录与呼叫记录记录相关联,其中,所述相关联的一个或多个web日志记录中的每一个的关联用户和所述呼叫记录记录是相同的; 识别用于多个呼叫记录记录的web日志记录中的一个或多个模式,其中每个模式包括一个或多个web访问,执行一个或多个web访问中的每一个执行的时间戳以及用于呼叫的呼叫主题 日志记录; 识别与新呼叫相关联的一个或多个web日志记录,以及基于至少一个模式和所述一个或多个web日志记录来预测新呼叫的呼叫主题。
    • 8. 发明授权
    • Synchronous parallel pixel processing for scalable color reproduction systems
    • 用于可缩放颜色再现系统的同步并行像素处理
    • US08773446B2
    • 2014-07-08
    • US13023798
    • 2011-02-09
    • Shanmuga-Nathan GnanasambandamLalit Keshav Mestha
    • Shanmuga-Nathan GnanasambandamLalit Keshav Mestha
    • G06F15/80
    • G06T1/20
    • What is disclosed is a novel system and method for parallel processing of intra-image data in a distributed computing environment. A generic architecture and method are presented which collectively facilitate image segmentation and block sorting and merging operations with a certain level of synchronization in a parallel image processing environment which has been traditionally difficult to parallelize. The present system and method enables pixel-level processing at higher speeds thus making it a viable service for a print/copy job document reproduction environment. The teachings hereof have been simulated on a cloud-based computing environment with a demonstrable increase of ≈2× with nominal 8-way parallelism, and an increase of ≈20×-100× on a graphics processor. In addition to production and office scenarios where intra-image processing are likely to be performed, these teachings are applicable to other domains where high-speed video and audio processing are desirable.
    • 公开的是用于在分布式计算环境中并行处理图像内数据的新型系统和方法。 提出了一种通常的架构和方法,其在传统上难以并行化的并行图像处理环境中共同促进图像分割和块排序和合并操作与一定水平的同步。 本系统和方法能够以更高的速度进行像素级处理,从而使其成为打印/复印作业文档再现环境的可行服务。 本文的教导已经在基于云计算环境下进行了模拟,具有标称8路并行性的≈2×的可见增加,并且在图形处理器上增加了≈20×-100×。 除了可能执行图像内处理的生产和办公场景之外,这些教导也适用于需要高速视频和音频处理的其他领域。