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    MODELING FOR FLAVOR PROFILES
    3.
    发明申请
    MODELING FOR FLAVOR PROFILES 审中-公开
    建模用于FLAVOR PROFILES

    公开(公告)号：US20170011164A1

    公开(公告)日：2017-01-12

    申请号：US14791515

    申请日：2015-07-06

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： Siddique M. Adoni ,  Aveek N. Chatterjee ,  Dhandapani Shanmugam

    IPC: G06F19/12 ,  G06F17/50

    CPC classification number: G06N5/04 ,  G06F17/5009 ,  G06F19/00 ,  G06F19/3475 ,  G16H50/50

    Abstract: A method, computer program product, and system for generating flavor profile models are provided. An alpha flavor model is determined. An electrode signal is transmitted to a taste simulator based on the alpha flavor model. User feedback is received. A variance between the alpha flavor model and the user feedback is determined. The variance is compared to a predetermined threshold. In response to determining that the variance is greater than the predetermined threshold, a beta flavor model is generated.

    Abstract translation: 提供了一种用于生成风味特征模型的方法，计算机程序产品和系统。 确定阿尔法风味模型。 基于α风味模型将电极信号传输到味觉模拟器。 收到用户反馈。 确定阿尔法风味模型与用户反馈之间的差异。 将方差与预定阈值进行比较。 响应于确定方差大于预定阈值，生成β风味模型。

    Haptic-based artificial neural network training
    6.
    发明授权
    Haptic-based artificial neural network training 有权

    公开(公告)号：US09530092B2

    公开(公告)日：2016-12-27

    申请号：US14936971

    申请日：2015-11-10

    Applicant: International Business Machines Corporation

    Inventor： Aveek N. Chatterjee ,  Siddique M. Adoni ,  Dhandapani Shanmugam

    IPC: G06F15/18 ,  G06N3/08 ,  G06F3/01

    CPC classification number: G06N3/08 ,  G06F3/016

    Abstract: In a method for training an artificial neural network based algorithm designed to monitor a first device, a processor receives a first data. A processor determines a first service action recommendation for a first device using the received first data and an artificial neural network (ANN) algorithm. A processor causes a second device to provide haptic feedback using the received first data. A processor receives a second service action recommendation for the first device based on the haptic feedback. A processor adjusts at least one parameter of the ANN algorithm such that the ANN algorithm determines a third service action recommendation for the first device using the received first data, wherein the third service action recommendation is equivalent to the second service action recommendation.

    SCHEDULING COST EFFICIENT DATACENTER LOAD DISTRIBUTION
    10.
    发明申请
    SCHEDULING COST EFFICIENT DATACENTER LOAD DISTRIBUTION 有权
    调度成本有效的DATACENTER负载分配

    公开(公告)号：US20160087909A1

    公开(公告)日：2016-03-24

    申请号：US14490122

    申请日：2014-09-18

    Applicant: International Business Machines Corporation

    Inventor： Aveek N. Chatterjee ,  Hendrik F. Hamann ,  Shankar Km ,  Siyuan Lu ,  Kota V. R. M. Murali

    IPC: H04L12/911 ,  G06F9/50

    CPC classification number: H04L47/70 ,  G06F9/505 ,  G06F9/5083 ,  G06F9/5094 ,  G06Q10/063 ,  G06Q30/0206 ,  Y02D10/22

    Abstract: A method for scheduling cost efficient data center load distribution is described. The method includes receiving a task to be performed by computing resources within a set of data centers. The method further includes determining, all available data centers to perform the task. The method further includes determining lowest computing cost task schedule from available data centers. The method further includes scheduling the task to be completed at an available data center with the lowest cost computing.

    Abstract translation: 描述了一种用于调度具有成本效益的数据中心负载分布的方法。 该方法包括通过计算一组数据中心内的资源来执行要执行的任务。 该方法还包括确定所有可用的数据中心来执行该任务。 该方法还包括从可用数据中心确定最低计算成本任务调度。 该方法还包括在具有最低成本计算的可用数据中心处调度要完成的任务。

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