公开(公告)号：US20160253605A1

公开(公告)日：2016-09-01

申请号：US14632111

申请日：2015-02-26

Applicant: XEROX CORPORATION

Inventor： Guangyu Zou ,  Haengju Lee ,  David R. Vandervort

IPC: G06Q10/06 ,  G06Q50/00

CPC classification number: G06Q10/0633 ,  G06Q10/06316 ,  G06Q50/01

Abstract: The disclosed embodiments illustrate methods and systems for determining strategies in crowdsourcing. The method includes generating first graphs representative of an association between workers, between crowdsourcing tasks, or between workers and crowdsourcing tasks, at first time instance. The method includes determining values of metrics associated with first graphs, comparing determined values of metrics and threshold values of metrics, and generating second graphs based on comparison. The second graphs are representative of an association between workers, between crowdsourcing tasks, or between workers and crowdsourcing tasks, at second time instance. The second time instance precedes first time instance. Thereafter, the method includes determining strategies based on second graphs. The strategies comprise recommendation to a first set of workers for attempting a first set of crowdsourcing tasks or recommendation to first set of workers for increasing interaction with second set of workers. The method is performed by one or more microprocessors.

Abstract translation: 所公开的实施例示出了用于确定众包中的策略的方法和系统。 该方法包括在第一时间生成代表工作者之间，众包任务之间，或工作人员与众包任务之间的关联的第一图。 该方法包括确定与第一图相关联的度量的值，比较确定的度量值和度量的阈值，以及基于比较生成第二图。 第二个图表代表了工人之间，众包任务之间，或工人和众包任务之间的关联，在第二次实例。 第二次实例在第一次实例之前。 此后，该方法包括基于第二图确定策略。 这些策略包括向第一组工作人员推荐尝试第一组人群任务或建议第一组工人增加与第二组工作人员的互动。 该方法由一个或多个微处理器执行。

公开(公告)号：US09183742B2

公开(公告)日：2015-11-10

申请号：US13661856

申请日：2012-10-26

Applicant: Xerox Corporation

Inventor： Guangyu Zou ,  Rakesh Kulkarni ,  Ming Yang

IPC: G06F17/10 ,  G08G1/01 ,  G06N3/12 ,  G08G1/0968 ,  G06N5/00

CPC classification number: G08G1/0112 ,  G06N3/126 ,  G06N5/00 ,  G08G1/0141 ,  G08G1/096811 ,  G08G1/096844

Abstract: Methods, systems and processor-readable media for modeling and optimizing multiple ITS (Intelligent Transportation System) strategies utilizing a systematic genetic algorithm. A traffic simulation model can be configured in conjunction with a genetic algorithm based optimization engine for optimizing the transportation models. An origin-destination matrix that minimizes discrepancies between a simulated and an observed link traffic count can be estimated by considering a road network and a traffic count with respect to a region. A driver behavior can then be determined utilizing the origin-destination matrix via calibration so that the simulation model can replicate a freeway traffic flow in the region. An optimal parameter with respect to the ITS strategies can be determined to optimize a set goal with respect to a given constraint. Such an approach meets a level of service (LOS) metric as well as a revenue target under the applied ITS strategies.

Abstract translation: 方法，系统和处理器可读介质，用于建模和优化利用系统遗传算法的多个ITS（智能交通系统）策略。 交通仿真模型可以与基于遗传算法的优化引擎配合，优化运输模型。 可以通过考虑道路网络和相对于区域的交通数量来估计最小化模拟链路和观测链路业务量之间的差异的起始 - 目的地矩阵。 然后可以通过校准利用起始 - 目的地矩阵来确定驾驶员行为，使得模拟模型可以复制该区域中的高速公路交通流。 可以确定相对于ITS策略的最佳参数以优化关于给定约束的设定目标。 这种方法符合服务水平（LOS）指标以及应用ITS策略下的收入目标。

公开(公告)号：US09134675B2

公开(公告)日：2015-09-15

申请号：US13929748

申请日：2013-06-27

Applicant: XEROX CORPORATION

Inventor： Ming Yang ,  Diane M. Foley ,  William K. Stumbo ,  Guangyu Zou

IPC: G03G15/08 ,  G03G15/00

CPC classification number: G03G15/556 ,  G03G15/0856

Abstract: An apparatus and method of predicting the end of life of a consumable. A basic weighted least squares algorithm has been extended and augmented to compensate for observed common consumable/printer behavior. The system uses consumable usage data (such as toner level) acquired from the device to predict the current and future consumable level and to predict the remaining life. The apparatus and method monitors the consumable's usage and updates the prediction so that when the predicted remaining life matches a preset threshold, it automatically triggers an order placement event to ship product to customer.

Abstract translation: 预测消耗品寿命结束的装置和方法。 基本的加权最小二乘法算法已被扩展和扩充，以补偿观察到的常见消耗品/打印机行为。 该系统使用从设备获取的消耗性使用数据（例如墨粉量）来预测当前和未来的消耗品级别并预测剩余寿命。 该装置和方法监测消耗品的使用情况并更新预测，使得当预测的剩余寿命与预设阈值相匹配时，其自动触发订单放置事件以将产品运送给顾客。

公开(公告)号：US20140095068A1

公开(公告)日：2014-04-03

申请号：US13629984

申请日：2012-09-28

Applicant: XEROX CORPORATION

Inventor： Rakesh Suresh Kulkarni ,  Guangyu Zou

IPC: G01C21/20

CPC classification number: G01C21/3492

Abstract: A point-based method, system and processor-readable medium for reducing traffic congestion. A license plate number associated with a vehicle can be captured utilizing an image capturing unit and/or a GPS (Global Positioning System) enabled mobile communication device to store/deduct points with respect to a user account on a point storage server. The points can be stored in a user account based on a dynamic policy if a user selects a sub-optimal path (e.g., general-purpose lane or a far-away parking spot) and the level of urgency related to travel is low to reduce congestion. The points can be deducted later if the user decides to take an optimal path (e.g., HOT lane or a near-center parking spot). The points on each path can be dynamically set based on time of day to maintain traffic flow at an optimal level.

Abstract translation: 一种用于减少交通拥堵的基于点的方法，系统和处理器可读介质。 可以利用图像捕获单元和/或GPS（全球定位系统）使能的移动通信设备来捕获与车辆相关联的牌照号码，以便相对于点存储服务器上的用户帐户存储/扣除点数。 如果用户选择次优路径（例如通用车道或远距离停车位），则可以基于动态策略将点存储在用户帐户中，并且与旅行相关的紧急程度较低以减少 拥塞。 如果用户决定采取最佳路径（例如，HOT车道或近中心停车位），则可以稍后扣除积分。 每个路径上的点可以基于一天中的时间动态设置，以将流量维持在最佳水平。

公开(公告)号：US20150278403A1

公开(公告)日：2015-10-01

申请号：US14225475

申请日：2014-03-26

Applicant: Xerox Corporation

Inventor： Alvaro E Gil ,  Guangyu Zou

IPC: G06F17/50 ,  G06F17/18

CPC classification number: G06F17/5009 ,  G06Q10/063112 ,  G06Q10/06398 ,  G06Q10/101

Abstract: Methods and systems for creating statistical model. Values of at least one output parameter corresponding to each combination of values of a set of input parameters are collected. The at least one output parameter and the set of input parameters are associated with one or more crowdsourcing tasks. Each combination of the values of the set of input parameters is determined based on at least one of one or more design of experiments or a historical data. Further, a distribution of the values of the at least one output parameter is determined. The statistical model is created based on the values of the set of input parameters and one or more characteristics associated with the distribution of the values of the at least one output parameter.

Abstract translation: 建立统计模型的方法和系统。 收集与一组输入参数的值的每个组合对应的至少一个输出参数的值。 至少一个输出参数和一组输入参数与一个或多个众包任务相关联。 基于一个或多个实验设计或历史数据中的至少一个来确定输入参数集合的值的每个组合。 此外，确定至少一个输出参数的值的分布。 基于所述输入参数集合的值和与所述至少一个输出参数的值的分布相关联的一个或多个特征来创建所述统计模型。

公开(公告)号：US20140122032A1

公开(公告)日：2014-05-01

申请号：US13661856

申请日：2012-10-26

Applicant: XEROX CORPORATION

Inventor： Guangyu Zou ,  Rakesh Kulkarni ,  Ming Yang

IPC: G06F17/10

CPC classification number: G08G1/0112 ,  G06N3/126 ,  G06N5/00 ,  G08G1/0141 ,  G08G1/096811 ,  G08G1/096844

Abstract: Methods, systems and processor-readable media for modeling and optimizing multiple ITS (Intelligent Transportation System) strategies utilizing a systematic genetic algorithm. A traffic simulation model can be configured in conjunction with a genetic algorithm based optimization engine for optimizing the transportation models. An origin-destination matrix that minimizes discrepancies between a simulated and an observed link traffic count can be estimated by considering a road network and a traffic count with respect to a region. A driver behavior can then be determined utilizing the origin-destination matrix via calibration so that the simulation model can replicate a freeway traffic flow in the region. An optimal parameter with respect to the ITS strategies can be determined to optimize a set goal with respect to a given constraint. Such an approach meets a level of service (LOS) metric as well as a revenue target under the applied ITS strategies.

Abstract translation: 方法，系统和处理器可读介质，用于建模和优化利用系统遗传算法的多个ITS（智能交通系统）策略。 交通仿真模型可以与基于遗传算法的优化引擎配合，优化运输模型。 可以通过考虑道路网络和相对于区域的交通数量来估计最小化模拟链路和观测链路业务量之间的差异的起始 - 目的地矩阵。 然后可以通过校准利用起始 - 目的地矩阵来确定驾驶员行为，使得模拟模型可以复制该区域中的高速公路交通流。 可以确定相对于ITS策略的最佳参数以优化关于给定约束的设定目标。 这种方法符合服务水平（LOS）指标以及应用ITS策略下的收入目标。

公开(公告)号：US09411917B2

公开(公告)日：2016-08-09

申请号：US14225475

申请日：2014-03-26

Applicant: Xerox Corporation

Inventor： Alvaro E Gil ,  Guangyu Zou

IPC: G06F3/048 ,  G06F17/50 ,  G06Q10/06 ,  G06Q10/10

CPC classification number: G06F17/5009 ,  G06Q10/063112 ,  G06Q10/06398 ,  G06Q10/101

Abstract: Methods and systems for creating statistical model. Values of at least one output parameter corresponding to each combination of values of a set of input parameters are collected. The at least one output parameter and the set of input parameters are associated with one or more crowdsourcing tasks. Each combination of the values of the set of input parameters is determined based on at least one of one or more design of experiments or a historical data. Further, a distribution of the values of the at least one output parameter is determined. The statistical model is created based on the values of the set of input parameters and one or more characteristics associated with the distribution of the values of the at least one output parameter.

Abstract translation: 建立统计模型的方法和系统。 收集与一组输入参数的值的每个组合对应的至少一个输出参数的值。 至少一个输出参数和一组输入参数与一个或多个众包任务相关联。 基于一个或多个实验设计或历史数据中的至少一个来确定输入参数集合的值的每个组合。 此外，确定至少一个输出参数的值的分布。 基于所述输入参数集合的值和与所述至少一个输出参数的值的分布相关联的一个或多个特征来创建所述统计模型。

公开(公告)号：US20150242798A1

公开(公告)日：2015-08-27

申请号：US14190205

申请日：2014-02-26

Applicant: Xerox Corporation

Inventor： Guangyu Zou ,  Marina L. Tharayil ,  Alvaro E. Gil ,  Deepthi Chandra ,  Laura Elisa Celis

IPC: G06Q10/06

CPC classification number: G06Q10/063114

Abstract: The disclosed embodiments illustrate methods and systems for creating a simulator for a crowdsourcing platform. The method includes generating a plurality of rules indicative of at least one of a behavior or an interaction, of one or more entities associated with the crowdsourcing platform, based on one or more parameters associated with each of the one or more entities. Thereafter, a first level of service of the crowdsourcing platform is estimated based on the generated plurality of rules. Further, the plurality of rules are modified based on the first level of service and an observed level of service of the crowdsourcing platform. The plurality of rules are modified such that a second level of service of the crowdsourcing platform, estimated based on the modified plurality of rules, approaches the observed level of service of the crowdsourcing platform. The modified plurality of rules corresponds to the simulator for the crowdsourcing platform.

Abstract translation: 所公开的实施例示出了用于为众包平台创建模拟器的方法和系统。 该方法包括基于与一个或多个实体中的每一个相关联的一个或多个参数来生成指示与众包平台相关联的一个或多个实体的行为或交互中的至少一个的多个规则。 此后，基于所生成的多个规则来估计众包平台的第一级服务。 此外，基于第一服务水平和众包服务平台的服务水平来修改多个规则。 修改多个规则，使得基于修改的多个规则估计的众包平台的第二级别的服务接近所观察到的众包服务平台的服务水平。 修改后的多个规则对应于众包平台的模拟器。

公开(公告)号：US20150106171A1

公开(公告)日：2015-04-16

申请号：US14051927

申请日：2013-10-11

Applicant: Xerox Corporation

Inventor： Guangyu Zou ,  Lina Fu ,  Rakesh S. Kulkarni

IPC: G06Q30/02 ,  G06Q50/30

CPC classification number: G06Q30/0283 ,  G06Q50/30

Abstract: Methods and systems for dynamic pricing based on sliding mode control with respect to a HOT (High Occupancy Toll) lane. The controller consists of a feed-forward path and a feedback path. In the feed-forward path, a sliding mode controller in association with a sliding mode control module can be configured to achieve desired performance objectives under time-varying system parameters in real-time. An estimated VOT (Value of Time) distribution can be derived in association with the controller to reduce the difference between an actual and target traffic flow density on the HOT lane. The estimation of the VOT distribution can be updated by the controller at each time interval when the difference in densities is larger than a certain threshold. A low pass filter can also be employed to substantially improve prediction and the calculation of tolls to reduce fluctuations in traffic.

Abstract translation: 基于对HOT（高占有率）车道的滑动模式控制的动态定价方法和系统。 控制器由前馈路径和反馈路径组成。 在前馈路径中，与滑动模式控制模块相关联的滑动模式控制器可被配置成实时地实现在时变系统参数下的期望性能目标。 可以与控制器相关联地导出估计的VOT（时间值）分布，以减少HOT车道上的实际和目标交通流密度之间的差异。 当密度差大于某一阈值时，可以通过控制器在每个时间间隔更新VOT分布的估计。 低通滤波器也可以用来大幅改善预算和计算通行费用以减少交通量的波动。

公开(公告)号：US20140372163A1

公开(公告)日：2014-12-18

申请号：US13919206

申请日：2013-06-17

Applicant: Xerox Corporation

Inventor： Guangyu Zou ,  Lina Fu ,  Rakesh Kulkarni

IPC: G06Q10/06

CPC classification number: G06Q10/06312

Abstract: Method and system for dynamically adjusting compensation for one or more tasks are disclosed. The method includes estimating the compensation for each task in a batch of tasks based on at least one of a minimum wage for a task in the batch of tasks, one or more attributes associated with the worker, a number and type of tasks in the batch of tasks, or a target level of service. The compensation for the each task of the batch of tasks is then adjusted based on at least one of an observed level of service associated with the batch of tasks and the target level of service. The method is performed using a processor.

Abstract translation: 公开了一种或多种任务的动态调整补偿方法和系统。 所述方法包括基于所述批次任务中的任务的最小工资，与所述工作人员相关联的一个或多个属性，所述批处理中的任务的数量和类型中的至少一个来估计一批任务中的每个任务的所述补偿 任务或目标服务级别。 然后，基于与该批任务相关联的所观察到的服务水平和目标服务水平中的至少一个来对该批任务的每个任务的补偿进行调整。 该方法使用处理器执行。