公开(公告)号：US08560374B2

公开(公告)日：2013-10-15

申请号：US12326145

申请日：2008-12-02

申请人： Arash Bateni ,  Edward Kim

发明人： Arash Bateni ,  Edward Kim

IPC分类号： G06Q30/02

CPC分类号： G06Q30/02 ,  G06Q10/04 ,  G06Q30/0202

摘要： A product demand forecasting methodology is presented that applies daily weight values to a weekly forecast to determine daily forecasts for a product or service. The method determines daily weight values for use in forecasting current product sales by blending daily weight values calculated from historical demand data for both recent weeks and year-prior weeks. Recent weeks are used to account for recent correlations and alternation effects, and year-prior weeks are used to account for seasonality effects. The method automatically calculates a measure of significance for the daily weights calculated from the recent weeks and year-prior weeks. The significance of each week is applied as a weighting factor during the blending of recent weeks and year-prior daily weight values.

摘要翻译： 提出了一种产品需求预测方法，将每日重量值应用于每周预测，以确定产品或服务的每日预测。 该方法通过混合最近几周和前一周的历史需求数据计算的每日重量值，确定用于预测当前产品销售的每日重量值。 最近几周用于说明最近的相关性和交替效应，并且前一周用于考虑季节效应。 该方法自动计算从最近几周和前一周计算的每日重量的重要度量度。 在最近几周和前一天每日体重值的混合期间，每周的意义被用作加权因子。

公开(公告)号：US08346618B2

公开(公告)日：2013-01-01

申请号：US12825183

申请日：2010-06-28

申请人： Tyler Brooks ,  Kevin McLaughlin ,  Helga Cecilia Dahl ,  Edward Kim

发明人： Tyler Brooks ,  Kevin McLaughlin ,  Helga Cecilia Dahl ,  Edward Kim

IPC分类号： G06Q30/00 ,  G06F17/30

CPC分类号： G06Q30/00 ,  G06Q30/0601 ,  G07C9/00007 ,  G07C11/00 ,  G07C2011/02 ,  G07C2011/04

摘要： A smart-card based system and methods to control access to a plurality of attractions within a geographical area. The system may include one or more reward terminals that are located at attractions and are configured to read smart cards presented to them and, assuming the card is valid for that location, allow the card holder to access the attraction. Each smart card may be programmed with a product code that defines the attractions at which the card may be used. Product codes may be stored in a central database along with a list of the attractions associated with the each product code. The list of attractions may be updated as desired, thereby updating and changing the attractions at which any given card may be used.

摘要翻译： 一种基于智能卡的系统和方法来控制对地理区域内的多个景点的访问。 该系统可以包括位于景点的一个或多个奖励终端，并被配置为读取呈现给他们的智能卡，并且假定该卡对于该位置有效，允许该卡座访问该吸引力。 每个智能卡可以用定义可以使用卡的吸引力的产品代码进行编程。 产品代码可以与每个产品代码相关联的景点列表一起存储在中央数据库中。 可以根据需要更新景点列表，从而更新和改变可以使用任何给定的卡的景点。

公开(公告)号：US08290913B2

公开(公告)日：2012-10-16

申请号：US11967673

申请日：2007-12-31

申请人： Arash Bateni ,  Edward Kim

发明人： Arash Bateni ,  Edward Kim

IPC分类号： G06F7/00

CPC分类号： G06F17/30412

摘要： Techniques for multi-variable analysis at an aggregate level are provided. Two or more datasets having different statistical data distributions and which are not capable of being aggregated are acquired. The values for variables in the two or more datasets are normalized to produce a single integrated dataset of normalized values. The normalized values are then used to produce a demand model that represents and integrates multiple disparate products or services from the two or more datasets into a single demand model.

摘要翻译： 提供了一个综合水平的多变量分析技术。 获取具有不同统计数据分布且不能聚合的两个或多个数据集。 两个或更多数据集中变量的值被归一化以产生一个归一化值的集成数据集。 归一化值然后用于产生一个需求模型，它将来自两个或多个数据集的多个不同的产品或服务整合到一个需求模型中。

公开(公告)号：US08285545B2

公开(公告)日：2012-10-09

申请号：US12245340

申请日：2008-10-03

申请人： Chu Hee Lee ,  Johnathan Lee ,  Daniel Rosario ,  Edward Kim ,  Thomas Chan

发明人： Chu Hee Lee ,  Johnathan Lee ,  Daniel Rosario ,  Edward Kim ,  Thomas Chan

IPC分类号： G10L15/20

CPC分类号： G10L15/20 ,  G10L15/22 ,  G10L2015/228

摘要： A voice command acquisition method and system for motor vehicles is improved in that noise source information is obtained directly from the vehicle system bus. Upon receiving an input signal with a voice command, the system bus is queried for one or more possible sources of a noise component in the input signal. In addition to vehicle-internal information (e.g., window status, fan blower speed, vehicle speed), the system may acquire external information (e.g., weather status) in order to better classify the noise component in the input signal. If the noise source is found to be a window, for example, the driver may be prompted to close the window. In addition, if the fan blower is at a high speed level, it may be slowed down automatically.

摘要翻译： 改进了用于机动车辆的语音命令获取方法和系统，其中直接从车辆系统总线获得噪声源信息。 在接收到具有语音命令的输入信号时，系统总线被查询输入信号中的一个或多个可能的噪声分量源。 除了车辆内部信息（例如，窗口状态，风扇鼓风机速度，车辆速度）之外，系统可以获取外部信息（例如，天气状况），以便更好地对输入信号中的噪声分量进行分类。 如果噪声源被发现是一个窗口，例如，可能会提示驱动程序关闭窗口。 此外，如果风扇鼓风机处于高速水平，则可能会自动减速。

公开(公告)号：US08024113B2

公开(公告)日：2011-09-20

申请号：US11890025

申请日：2007-08-02

申请人： Edward Kim ,  Chu Hee Lee

发明人： Edward Kim ,  Chu Hee Lee

IPC分类号： G01C21/36 ,  G06F19/00

CPC分类号： G01C21/3623

摘要： In a navigation system, e.g., for a motor vehicle, for determining the route from a location of the navigation system to a destination point, the navigation system includes an output device for outputting the route and/or a direction indication that corresponds to the route, and an input device for inputting the destination point, graphics or images of selectable destination points being representable for the input of a destination point.

摘要翻译： 在导航系统中，例如用于机动车辆，用于确定从导航系统的位置到目的地点的路线，导航系统包括用于输出与路线对应的路线和/或方向指示的输出装置 以及用于输入目的地点的输入装置，可选择的目的地点的图形或图像可被代表用于输入目的地点。

公开(公告)号：US20110153385A1

公开(公告)日：2011-06-23

申请号：US12643079

申请日：2009-12-21

申请人： Arash Bateni ,  Edward Kim

发明人： Arash Bateni ,  Edward Kim

IPC分类号： G06Q10/00

CPC分类号： G06Q10/04 ,  G06Q30/0202

摘要： An improved method and system for forecasting product demand using a causal methodology, based on multiple regression techniques. The causal method uses both historical and future values of causal factors for causal forecasting. Historical values are used to build a causal model, i.e., to determine the influence of the causal factors upon the demand for a product, and future values are used to generate demand uplifts which applied to an initial demand forecast based upon historical product demand. The improved causal method provides different processes for the calculation of demand uplifts associated with seasonal variables, such as temperature, than typical, non-seasonal causal variables, such as product price. Demand uplifts for seasonal variables are determined from the difference between a forecast value for the seasonal variable and an average of corresponding historical, prior-year, values of the seasonal variable, and demand uplifts for non-seasonal variables are determined from the difference between a forecast value for the non-seasonal variable and an average of recent values of the non-seasonal variable.

摘要翻译： 基于多元回归技术，使用因果方法预测产品需求的改进方法和系统。 因果方法使用因果预测的因果因素的历史和未来价值。 历史价值被用于构建因果模型，即确定因果因素对产品需求的影响，未来价值被用于产生应用于基于历史产品需求的初始需求预测的需求提升。 改进的因果方法提供了与诸如产品价格的典型非季节性因素变量等季节变量（如温度）相关的需求升幅的计算的不同过程。 季节变量的需求升幅是根据季节变量的预测值与季节变量的相应历史和上一年值的平均值之间的差异确定的，非季节变量的需求上升是根据 非季节变量的预测值和非季节变量的近期值的平均值。

公开(公告)号：US07856382B2

公开(公告)日：2010-12-21

申请号：US11967621

申请日：2007-12-31

申请人： Edward Kim ,  Harminter Atwal ,  Arash Bateni ,  Lorenzo Danesi

发明人： Edward Kim ,  Harminter Atwal ,  Arash Bateni ,  Lorenzo Danesi

IPC分类号： G06Q10/00 ,  G06F17/00 ,  G06F7/00

CPC分类号： G06F17/30489 ,  G06Q10/087

摘要： An aggregate User Defined Function (UDF) processing used for multi-regression is provided. The aggregate UDF initializes storage space for multiple nodes of a database environment. Data is then extracted from a relational database and populated according to groupings on each of the nodes. Multiple rows or records are then processed to create a merge and multi-regression processed.

摘要翻译： 提供了用于多回归的聚合用户定义函数（UDF）处理。 聚合UDF初始化数据库环境中多个节点的存储空间。 然后从关系数据库提取数据，并根据每个节点上的分组进行填充。 然后处理多个行或记录以创建合并和多回归处理。

公开(公告)号：US20100169165A1

公开(公告)日：2010-07-01

申请号：US12648980

申请日：2009-12-29

申请人： Arash Bateni ,  Edward Kim ,  Philippe Dupuis Hamel ,  Stephen Szu Chang

发明人： Arash Bateni ,  Edward Kim ,  Philippe Dupuis Hamel ,  Stephen Szu Chang

IPC分类号： G06Q10/00 ,  G06F17/30

CPC分类号： G06Q30/02 ,  G06Q30/0202

摘要： An improved method for forecasting and modeling product demand for a product. The forecasting methodology employs a causal methodology, based on multiple regression techniques, to model the effects of various factors on product demand, and hence better forecast future patterns and trends, improving the efficiency and reliability of the inventory management systems. A product demand forecast is generated by blending forecast or expected values of the non-redundant causal factors together with corresponding regression coefficients determined through the analysis of historical product demand and factor information. The improved method provides for the saving and updating of previously calculated intermediate regression analysis results and regression coefficients, significantly reducing data transfer time and computational efforts required for additional regression analysis and coefficient determination.

摘要翻译： 一种改进的产品需求预测和建模方法。 预测方法采用基于多元回归技术的因果方法来模拟各种因素对产品需求的影响，从而更好地预测未来模式和趋势，提高库存管理系统的效率和可靠性。 产品需求预测是通过将非冗余因果因子的预测值或预期值与通过分析历史产品需求和因子信息确定的相应回归系数相结合而产生的。 改进的方法提供了先前计算的中间回归分析结果和回归系数的保存和更新，显着减少了数据传输时间和额外的回归分析和系数确定所需的计算工作。

公开(公告)号：US20100153179A1

公开(公告)日：2010-06-17

申请号：US12336203

申请日：2008-12-16

申请人： Arash Bateni ,  Edward Kim ,  Philippe Hamel ,  Stephen Szu Chang

发明人： Arash Bateni ,  Edward Kim ,  Philippe Hamel ,  Stephen Szu Chang

IPC分类号： G06Q10/00

CPC分类号： G06Q30/02 ,  G06Q30/0202

摘要： A forecast response factor (RF) determines how quickly product demand forecasts should react to recent changes in demand. When a product sales pattern changes (e.g., a sudden increase in product demand), RF is adjusted accordingly to adjust the forecast responsiveness. The present subject matter provides automatic calculation of the RF, based at least in part on the nature of the product sales (autocorrelation) and the status of recent forecasts (bias).

摘要翻译： 预测响应因子（RF）确定产品需求预测对最近需求变化的反应速度。 当产品销售模式发生变化（例如，产品需求突然增加）时，相应地调整RF以调整预测响应性。 本主题至少部分地基于产品销售的性质（自相关）和最近的预测（偏差）的状态来自动计算RF。

公开(公告)号：US20100138273A1

公开(公告)日：2010-06-03

申请号：US12325414

申请日：2008-12-01

申请人： Arash Bateni ,  Edward Kim ,  David Chan

发明人： Arash Bateni ,  Edward Kim ,  David Chan

IPC分类号： G06Q10/00

CPC分类号： G06Q30/02 ,  G06Q30/0202

摘要： A repeatability score is described for determining the quality and reliability of product sales data for generating seasonal demand forecasts. The repeatability scores are calculated from seasonal sales data stored in a data warehouse. Products are sorted based on their reliability scores such that those products that are highly seasonal and have a reliable year-to-year demand pattern are used to form initial or unique demand models. Products that are determined to be less reliable based on their repeatability score are added to the unique demand models through an iterative matching process or left out of the unique demand models.

摘要翻译： 描述了重复性评分，用于确定用于产生季节性需求预测的产品销售数据的质量和可靠性。 重复性得分是从存储在数据仓库中的季节性销售数据计算的。 产品根据其可靠性分数进行排序，使得那些高度季节性且具有可靠的年度需求模式的产品被用于形成初始或独特的需求模型。 基于其可重复性评分被确定为不太可靠的产品通过迭代匹配过程被添加到独特需求模型中，或者不包括在独特需求模型中。