SYSTEM AND METHOD FOR SEMI-AUTOMATIC GENERATION OF OPERATING PROCEDURES FROM RECORDED TROUBLESHOOTING SESSIONS
    1.
    发明申请
    SYSTEM AND METHOD FOR SEMI-AUTOMATIC GENERATION OF OPERATING PROCEDURES FROM RECORDED TROUBLESHOOTING SESSIONS 有权
    用于记录故障排除会话的操作程序半自动生成的系统和方法

    公开(公告)号:US20150312427A1

    公开(公告)日:2015-10-29

    申请号:US14261027

    申请日:2014-04-24

    Abstract: A method for generating procedures includes receiving a log of a troubleshooting session. The log includes device data including a sequence of detected operations performed on the device causing respective components to change states. Steps of a candidate operating procedure are generated, based on the log, each corresponding to one of the detected operations. Missing steps may be identified, based on state charts and/or stored operability constraints for the device. The candidate operating procedure is compared with existing operating procedures stored in a knowledge base for the device to identify at least one existing operating procedure which includes steps which match at least some of the steps of the candidate operating procedure and, based on the identified at least one existing operating procedure, generating a textual description based on the textual description of the matching steps. The candidate procedure can be presented to an editor for validation.

    Abstract translation: 用于生成过程的方法包括接收故障排除会话的日志。 该日志包括设备数据,其包括在该设备上执行的检测到的操作的序列,使得各个组件改变状态。 基于日志生成候选操作过程的步骤,每个对应于检测到的操作之一。 可以基于状态图和/或存储的设备的可操作性约束来识别缺失的步骤。 将候选操作程序与存储在设备的知识库中的现有操作程序进行比较,以识别至少一个现有的操作过程,其包括与候选操作过程的至少一些步骤相匹配的步骤,并且基于所识别的至少 一个现有的操作过程,基于匹配步骤的文本描述生成文本描述。 候选程序可以提交给编辑器进行验证。

    METHOD AND SYSTEM FOR SIMULATING USERS IN THE CONTEXT OF A PARKING LOT BASED ON THE AUTOMATIC LEARNING OF A USER CHOICE DECISION FUNCTION FROM HISTORICAL DATA CONSIDERING MULTIPLE USER BEHAVIOR PROFILES
    2.
    发明申请
    METHOD AND SYSTEM FOR SIMULATING USERS IN THE CONTEXT OF A PARKING LOT BASED ON THE AUTOMATIC LEARNING OF A USER CHOICE DECISION FUNCTION FROM HISTORICAL DATA CONSIDERING MULTIPLE USER BEHAVIOR PROFILES 有权
    基于自动学习用户选择决策功能的停车场模拟用户的方法和系统,考虑到多个用户行为配置文件的历史数据

    公开(公告)号:US20160247326A1

    公开(公告)日:2016-08-25

    申请号:US14630227

    申请日:2015-02-24

    CPC classification number: G06N99/005 G06Q10/04 G06Q10/067 H04L67/306

    Abstract: Methods and systems for modeling user arrival and choice in the context of off-street parking solutions. A first component models the arrival and duration of stay of users as a function of time, taking into account different user profiles (or “clusters”), captured by a latent variable. A second component provides a ranking function (for each user cluster), wherein the input features describing the “choice” constitute status variables associated different car park(s), and the output constitutes a preferred car park and a pricing scheme. The system simulates different user behaviors by assuming some standard groups of users will behave similarly. Groups of users or user profiles are learned automatically. The profiles are then employed as a key element for automatically learning a decision function of parking users, and automatically learning one decision function per profile.

    Abstract translation: 用于在路边停车场解决方案的背景下建模用户到达和选择的方法和系统。 第一个组件将用户的到达时间和持续时间作为时间的函数来模拟,考虑到潜在变量捕获的不同用户简档(或“集群”)。 第二组件提供排序功能(对于每个用户群集),其中描述“选择”的输入特征构成与不同停车场相关联的状态变量,并且输出构成优选的停车场和定价方案。 假设某些标准用户组的行为类似,系统会模拟不同的用户行为。 用户组或用户配置文件将自动学习。 然后将轮廓用作用于自动学习停车用户的决定功能的关键要素,并且每个轮廓自动学习一个决定功能。

    Delayed vehicle identification for privacy enforcement
    3.
    发明授权
    Delayed vehicle identification for privacy enforcement 有权
    延迟车辆识别隐私执法

    公开(公告)号:US09412031B2

    公开(公告)日:2016-08-09

    申请号:US14054998

    申请日:2013-10-16

    Abstract: A method for recognition of an identifier such as a license plate includes storing first visual signatures, each extracted from a first image of a respective object, such as a vehicle, captured at a first location, and first information associated with the first captured image, such as a time stamp. A second visual signature is extracted from a second image of a second object captured at a second location and second information associated with the second captured image is acquired. A measure of similarity is computed between the second visual signature and at least some of the first visual signatures to identify a matching one. A test is performed, which is a function of the first and the second information associated with the matching signatures. Only when it is confirmed that the test has been met, identifier recognition is performed to identify the identifier of the second object.

    Abstract translation: 用于识别诸如车牌的标识符的方法包括存储从在第一位置捕获的诸如车辆的相应对象的第一图像提取的第一视觉签名以及与第一拍摄图像相关联的第一信息, 如时间戳。 从第二位置捕获的第二对象的第二图像提取第二视觉签名,并且获取与第二拍摄图像相关联的第二信息。 在第二视觉签名和至少一些第一视觉签名之间计算相似度的度量以识别匹配的一个。 执行测试,其是与匹配签名相关联的第一和第二信息的函数。 只有当确认已经满足测试时,才执行标识符识别以识别第二个对象的标识符。

    Method and system for mutual augmentation of a motivational printing awareness platform and recommendation-enabled printing drivers
    4.
    发明授权
    Method and system for mutual augmentation of a motivational printing awareness platform and recommendation-enabled printing drivers 有权
    激励打印意识平台和推荐启用打印驱动程序相互增强的方法和系统

    公开(公告)号:US09216591B1

    公开(公告)日:2015-12-22

    申请号:US14580795

    申请日:2014-12-23

    CPC classification number: G06F3/1219 G06F3/1254 G06F3/1273 G06F3/1285

    Abstract: This disclosure provides a method and system to promote the reduction of an environmental impact by one or more users of a printing system. According to an exemplary embodiment, a printing system includes a motivational platform and an operatively associated printer driver, the motivational platform recording the historical print activity of a plurality of users associated with a group and communicating the historical print activity to the print driver which is configured to provide an active user recommended selectable printer settings for a print job, prior to being submitted, which are based on best practices within the group.

    Abstract translation: 本公开提供了一种促进由打印系统的一个或多个用户减少环境影响的方法和系统。 根据示例性实施例,打印系统包括激励平台和可操作关联的打印机驱动程序,所述激励平台记录与组相关联的多个用户的历史打印活动,并将历史打印活动传达给配置的打印驱动程序 在提交之前为打印作业提供有效的推荐可选择的打印机设置,这些设置是基于组内的最佳做法。

    METHODS AND SYSTEMS FOR INTERPRETABLE USER BEHAVIOR PROFILING IN OFF-STREET PARKING
    5.
    发明申请
    METHODS AND SYSTEMS FOR INTERPRETABLE USER BEHAVIOR PROFILING IN OFF-STREET PARKING 审中-公开
    用于在离场停车场中解释用户行为分析的方法和系统

    公开(公告)号:US20160253681A1

    公开(公告)日:2016-09-01

    申请号:US14632207

    申请日:2015-02-26

    CPC classification number: G06Q30/0201 G06F17/30572 G06F17/30598

    Abstract: Methods and systems for interpretable user behavior profiling in off-street parking applications. To render user profiles easy to interpret by decision makers, the semi-automatic discovery and tagging of user profiles can be implemented. Transaction data from one or more (and geographically close) off-street parking installations can be implemented. An analysis of spatio-temporal behavioral patterns can be implemented based on representation of any parking episode by a set of heterogeneous features, the use of clustering methods for automatic pattern discovery, an assessment of obtained clusters, semi-automatic identification/tagging of space-temporal patterns, and a user-friendly interpretation of obtained patterns.

    Abstract translation: 在路边停车场应用中解释用户行为剖析的方法和系统。 为了使决策者易于理解用户简档,可以实现用户配置文件的半自动发现和标记。 可以实施来自一个或多个(和地理上接近)的路边停车设施的交易数据。 时空行为模式的分析可以基于一组异构特征表示任何停车情节,使用自动模式发现的聚类方法,获得的群集的评估,空间 - 时间行为模式的半自动识别/ 时间模式,以及对所获取模式的用户友好解释。

    Method and system for simulating users in the context of a parking lot based on the automatic learning of a user choice decision function from historical data considering multiple user behavior profiles
    7.
    发明授权
    Method and system for simulating users in the context of a parking lot based on the automatic learning of a user choice decision function from historical data considering multiple user behavior profiles 有权
    基于考虑到多个用户行为简档的历史数据的用户选择决定功能的自动学习来模拟停车场上下文中的用户的方法和系统

    公开(公告)号:US09576250B2

    公开(公告)日:2017-02-21

    申请号:US14630227

    申请日:2015-02-24

    CPC classification number: G06N99/005 G06Q10/04 G06Q10/067 H04L67/306

    Abstract: Methods and systems for modeling user arrival and choice in the context of off-street parking solutions. A first component models the arrival and duration of stay of users as a function of time, taking into account different user profiles (or “clusters”), captured by a latent variable. A second component provides a ranking function (for each user cluster), wherein the input features describing the “choice” constitute status variables associated different car park(s), and the output constitutes a preferred car park and a pricing scheme. The system simulates different user behaviors by assuming some standard groups of users will behave similarly. Groups of users or user profiles are learned automatically. The profiles are then employed as a key element for automatically learning a decision function of parking users, and automatically learning one decision function per profile.

    Abstract translation: 用于在路边停车场解决方案的背景下建模用户到达和选择的方法和系统。 第一个组件将用户的到达时间和持续时间作为时间的函数来模拟,考虑到潜在变量捕获的不同用户简档(或“集群”)。 第二组件提供排序功能(对于每个用户群集),其中描述“选择”的输入特征构成与不同停车场相关联的状态变量,并且输出构成优选的停车场和定价方案。 假设某些标准用户组的行为类似,系统会模拟不同的用户行为。 用户组或用户配置文件将自动学习。 然后将轮廓用作用于自动学习停车用户的决定功能的关键要素,并且每个轮廓自动学习一个决定功能。

    LEARNING MOBILITY USER CHOICE AND DEMAND MODELS FROM PUBLIC TRANSPORT FARE COLLECTION DATA
    8.
    发明申请
    LEARNING MOBILITY USER CHOICE AND DEMAND MODELS FROM PUBLIC TRANSPORT FARE COLLECTION DATA 有权
    学习移动用户选择和需求模式从公共交通收集数据

    公开(公告)号:US20160364645A1

    公开(公告)日:2016-12-15

    申请号:US14737964

    申请日:2015-06-12

    Abstract: A method and system are disclosed for learning a demand model and simulation parameters from validation information. Validation information is received from automatic fare collection systems and trips are reconstructed from the validation information. Origins, destinations, and arrival/departure times are estimated from the reconstructed trips. A demand model is then generated from the origins, destinations, and times. Assignment model parameters are then learned from the received validation information and demand model via iterative simulations. Infrastructure changes are made to a simulated transportation network based on the assignment and demand model using the learned parameters. A simulated response of the transportation network to the infrastructure change is then output.

    Abstract translation: 公开了一种用于从验证信息学习需求模型和模拟参数的方法和系统。 从自动收费系统收到验证信息,并从验证信息中重建旅行。 从重建的旅行估计起点,目的地和到达/离开时间。 然后从起点,目的地和时间生成需求模型。 然后通过迭代模拟从接收到的验证信息和需求模型中学习分配模型参数。 基于使用学习参数的分配和需求模型,对模拟交通网络进行基础设施更改。 然后输出运输网络对基础设施变更的模拟响应。

    System and method for semi-automatic generation of operating procedures from recorded troubleshooting sessions
    9.
    发明授权
    System and method for semi-automatic generation of operating procedures from recorded troubleshooting sessions 有权
    从记录故障排除会话中半自动生成操作程序的系统和方法

    公开(公告)号:US09467583B2

    公开(公告)日:2016-10-11

    申请号:US14261027

    申请日:2014-04-24

    Abstract: A method for generating procedures includes receiving a log of a troubleshooting session. The log includes device data including a sequence of detected operations performed on the device causing respective components to change states. Steps of a candidate operating procedure are generated, based on the log, each corresponding to one of the detected operations. Missing steps may be identified, based on state charts and/or stored operability constraints for the device. The candidate operating procedure is compared with existing operating procedures stored in a knowledge base for the device to identify at least one existing operating procedure which includes steps which match at least some of the steps of the candidate operating procedure and, based on the identified at least one existing operating procedure, generating a textual description based on the textual description of the matching steps. The candidate procedure can be presented to an editor for validation.

    Abstract translation: 用于生成过程的方法包括接收故障排除会话的日志。 该日志包括设备数据,其包括在该设备上执行的检测到的操作的序列,使得各个组件改变状态。 基于日志生成候选操作过程的步骤,每个对应于检测到的操作之一。 可以基于状态图和/或存储的设备的可操作性约束来识别缺失的步骤。 将候选操作程序与存储在设备的知识库中的现有操作程序进行比较,以识别至少一个现有的操作过程,其包括与候选操作过程的至少一些步骤相匹配的步骤,并且基于所识别的至少 一个现有的操作过程,基于匹配步骤的文本描述生成文本描述。 候选程序可以提交给编辑器进行验证。

    DELAYED VEHICLE IDENTIFICATION FOR PRIVACY ENFORCEMENT
    10.
    发明申请
    DELAYED VEHICLE IDENTIFICATION FOR PRIVACY ENFORCEMENT 有权
    延迟车辆识别用于隐私执行

    公开(公告)号:US20150104073A1

    公开(公告)日:2015-04-16

    申请号:US14054998

    申请日:2013-10-16

    Abstract: A method for recognition of an identifier such as a license plate includes storing first visual signatures, each extracted from a first image of a respective object, such as a vehicle, captured at a first location, and first information associated with the first captured image, such as a time stamp. A second visual signature is extracted from a second image of a second object captured at a second location and second information associated with the second captured image is acquired. A measure of similarity is computed between the second visual signature and at least some of the first visual signatures to identify a matching one. A test is performed, which is a function of the first and the second information associated with the matching signatures. Only when it is confirmed that the test has been met, identifier recognition is performed to identify the identifier of the second object.

    Abstract translation: 用于识别诸如车牌的标识符的方法包括存储从在第一位置捕获的诸如车辆的相应对象的第一图像提取的第一视觉签名以及与第一拍摄图像相关联的第一信息, 如时间戳。 从第二位置捕获的第二对象的第二图像提取第二视觉签名,并且获取与第二拍摄图像相关联的第二信息。 在第二视觉签名和至少一些第一视觉签名之间计算相似度的度量以识别匹配的一个。 执行测试,其是与匹配签名相关联的第一和第二信息的函数。 只有当确认已经满足测试时,才执行标识符识别以识别第二个对象的标识符。

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