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1. 发明申请

US20120039395A1 SYSTEM AND METHOD FOR TIME SERIES FILTERING AND DATA REDUCTION 审中-公开
标题翻译：用于时间序列过滤和数据还原的系统和方法
公开(公告)号：US20120039395A1
公开(公告)日：2012-02-16
申请号：US12999616
申请日：2010-03-24
申请人： Robert J. Jannarone , John T. Tatum , Thuy Xuan Cox , Leronzo Lidell Taturn , David J. Cohen
发明人： Robert J. Jannarone , John T. Tatum , Thuy Xuan Cox , Leronzo Lidell Taturn , David J. Cohen
IPC分类号： H04N7/30
CPC分类号： H04L67/22 , G06K9/3241 , H04L25/05 , H04L67/125 , H04W4/18
摘要： The present invention is be directed to systems and methods that efficiently reduce cluttered data and identify useful information, in real-time. The disclosed auto-adaptive system distinguishes target data in data sets from clutter data that causes low target hit rates and high false alarm rates. Data set features may then be modified to account for changes over time, resulting in auto-adaptive alarm thresholds, higher target hits rates, and lower false alarm rates. In addition, data may be reduced to snip containing target information, while excluding large amounts of clutter data. Thereby, real-time data can be more readily understood and transmitted data can be reduced.
摘要翻译：本发明旨在实时地有效地减少杂乱的数据并识别有用的信息的系统和方法。所公开的自适应系统将数据集中的目标数据与导致低目标命中率和高假警报率的杂波数据区分开。然后可以修改数据集特征以考虑随时间的变化，从而导致自适应报警阈值，更高的目标命中率和较低的误报率。此外，数据可能会减少到包含目标信息的剪辑，同时排除大量的杂波数据。因此，可以更容易地理解实时数据，并且可以减少发送的数据。

2. 发明申请

US20110257978A1 Time Series Filtering, Data Reduction and Voice Recognition in Communication Device 审中-公开
标题翻译：通信设备中的时间序列过滤，数据简化和语音识别
公开(公告)号：US20110257978A1
公开(公告)日：2011-10-20
申请号：US12909633
申请日：2010-10-21
申请人： Robert J. Jannarone , John T. Tatum , Leronzo Lidell Tatum , David J. Cohen
发明人： Robert J. Jannarone , John T. Tatum , Leronzo Lidell Tatum , David J. Cohen
IPC分类号： G10L19/00
CPC分类号： G10L15/30
摘要： A computer implemented method for processing audio data communicated between a first device and a second device over a data communication network, where one or more processors are programmed to perform steps include at a first device: receiving time series audio data comprising audio data over a time period; partitioning the audio data in a plurality of time segments; transforming the audio data in the plurality of time segments into a plurality of feature values; transmitting a subset of plurality of feature values over a data communication network; and at a second device: receiving the transmitted plurality of feature values from the data communication network; and transforming the feature values into the time domain to reproduce the time series audio data.
摘要翻译：一种用于处理通过数据通信网络在第一设备和第二设备之间传送的音频数据的计算机实现的方法，其中一个或多个处理器被编程以执行步骤包括在第一设备处：在一段时间内接收包括音频数据的时间序列音频数据期; 在多个时间段中分割音频数据; 将所述多个时间段中的音频数据变换为多个特征值; 通过数据通信网络发送多个特征值的子集; 并且在第二设备处：从所述数据通信网络接收所发送的多个特征值; 并将特征值转换成时域以再现时间序列音频数据。

3. 发明授权

US06876988B2 Enhanced computer performance forecasting system 有权
标题翻译：增强型电脑性能预测系统
公开(公告)号：US06876988B2
公开(公告)日：2005-04-05
申请号：US09811163
申请日：2001-03-16
申请人： David Helsper , Clayton Wilkinson , Robert Zack , John T. Tatum , Robert J. Jannarone , Bernd Harzog
发明人： David Helsper , Clayton Wilkinson , Robert Zack , John T. Tatum , Robert J. Jannarone , Bernd Harzog
IPC分类号： G06F11/34 , H04L12/24 , G06E1/00
CPC分类号： H04L41/0681 , G06F11/3447 , H04L41/0213 , H04L41/026 , H04L41/147 , H04L41/22 , H04L41/5003
摘要： A method and system for computing a performance forecast for an e-business system or other computer architecture to proactively manage the system to prevent system failure or slow response time. The system is adapted to obtain measured input values from a plurality of internal data sources and external data sources to predict a system's performance especially under unpredictable and dramatically changing traffic levels in an effort to proactively manage the system to avert system malfunction or slowdown. The performance forecasting system can include both intrinsic and extrinsic variables as predictive inputs. Intrinsic variables include measurements of the systems own performance, such as component activity levels and system response time. Extrinsic variables include other factors, such as the time and date, whether an advertising campaign is underway, and other demographic factors that may effect or coincide with increased network traffic.
摘要翻译：一种用于计算电子商务系统或其他计算机体系结构的性能预测的方法和系统，以主动管理系统以防止系统故障或响应时间慢。该系统适于从多个内部数据源和外部数据源获得测量的输入值，以预测系统的性能，特别是在不可预测和显着改变的流量水平下，主动管理系统以避免系统故障或减速。绩效预测系统可以包括内在和外在变量作为预测投入。内在变量包括系统自身性能的测量，例如组件活动级别和系统响应时间。外部变量包括其他因素，如时间和日期，广告活动是否正在进行中，以及可能与增加的网络流量有关或可能相互影响的其他人口因素。

4. 发明授权

US06591255B1 Automatic data extraction, error correction and forecasting system 有权
标题翻译：自动数据提取，纠错和预测系统
公开(公告)号：US06591255B1
公开(公告)日：2003-07-08
申请号：US09543697
申请日：2000-04-05
申请人： John T. Tatum , W. Clayton Wilkinson, IV , Robert J. Jannarone
发明人： John T. Tatum , W. Clayton Wilkinson, IV , Robert J. Jannarone
IPC分类号： G06F1518
CPC分类号： G06N3/08
摘要： A “Rapid Learner Client Service” (RLCS) system that allows a large number of end-users to obtain the benefits of a sophisticated neural-network forecasting system. Rather than purchasing or developing a forecasting system of their own, RLCS clients subscribe to a forecasting service performed by forecasting equipment located at a remote site. This allows a single highly sophisticated forecasting system to meet the forecasting needs of a large number of subscribers. This forecasting service is performed by an RLCS server that periodically and automatically accesses the subscriber's computer to obtain a fresh set of input data. Alternatively, the subscriber's computer may contact the RLCS server to initiate the process. This input data is then downloaded to the RLCS server, where it is checked and corrected for errors by imputing values for missing or deviant input values. The error-corrected input data is then used to compute a forecast of output values, which are downloaded to the client's computer. The RLCS server also computes and downloads a set accuracy statistics for the client's review.
摘要翻译： “快速学习者客户服务”（RLCS）系统，允许大量终端用户获得复杂的神经网络预测系统的好处。 RLCS客户不是购买或开发自己的预测系统，而是订阅通过位于远程站点的预测设备执行的预测服务。这允许一个高度复杂的预测系统来满足大量用户的预测需求。该预测服务由RLCS服务器执行，该服务器周期性地并且自动地访问订户的计算机以获得一组新的输入数据。或者，订户的计算机可以联系RLCS服务器以启动该过程。然后将该输入数据下载到RLCS服务器，通过对丢失或偏差输入值的值进行估计，对其进行检查和纠正。然后，纠错后的输入数据用于计算输出值的预测，并将其下载到客户端计算机。 RLCS服务器还计算并下载用于客户端审核的设置精度统计信息。

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