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公开(公告)号：US11177685B1
公开(公告)日：2021-11-16
申请号：US16541257
申请日：2019-08-15
摘要： A digital controller controls contingency discharges of a utility from a reservoir to a plant during a first time period and compensatory charges from the plant back to the reservoir during a second time period. The utility can be electric power. The plant and reservoir are connected by a grid. The reservoir may be any electric power storage device. When the utility is electric power, the contingency discharges make up for the power not generated by the plant due to an accident. The compensatory charges replenish the reservoir.
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公开(公告)号：US10418846B1
公开(公告)日：2019-09-17
申请号：US16177525
申请日：2018-11-01
摘要： A digital controller controls contingency discharges of a utility from a reservoir to a plant during a first time period and compensatory charges from the plant back to the reservoir during a second time period. The utility can be electric power. The plant and reservoir are connected by a grid. The reservoir may be any electric power storage device. When the utility is electric power, the contingency discharges make up for the power not generated by the plant due to an accident. The compensatory charges replenish the reservoir. The digital controller may use a sectionally linear transfer function with a maximum to control the compensatory charges based on the contingency discharges. The transfer function may be balanced using a trim function so that on average, the compensatory charges will make up for the contingency discharges.
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公开(公告)号：US09971973B1
公开(公告)日：2018-05-15
申请号：US15161452
申请日：2016-05-23
发明人： Justin N. Smith , David Alan Clark
CPC分类号： G06N99/005 , G06F17/30477
摘要： An artificial intelligence system for training a classifier has a database of training data and a modeling system for building a classification model based on the training data. The database has a binary classification for each entity and binary tokens indicating whether or not one or more indicators about the entity are true. The classification model is based on a tempered indication of the tokens. The tempered indication is a ratio of a weighted sum of the tokens for each entity divided by a tempering factor for each of the entities. The tempering factor is a function of the unweighted sum of the tokens for each entity. Thus the tempering factor will reduce the tempered indication when large numbers of low weight tokens are present so that the model does not over predict the probability of an entity being in the classification.
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公开(公告)号：US20160180295A1
公开(公告)日：2016-06-23
申请号：US15055673
申请日：2016-02-29
发明人： Justin N. Smith
CPC分类号： G06Q10/1091 , G06Q40/08 , G06Q40/125 , H04L63/107 , H04W4/021 , H04W4/023 , H04W4/029 , H04W12/08
摘要： A system verifies the location of a first person during a specified period by sending random alerts to the smart phone of the first person. A user must respond to the alerts. A second person defines acceptable locations. The smart phone has location measuring capability, such as a GPS or connection to a WAN. The identity of the user can be verified by requiring the input of a security code that also gives the user access to confidential information of the first person.
摘要翻译： 系统通过向第一人的智能电话发送随机警报来在特定期间内验证第一人的位置。 用户必须响应警报。 第二个人定义可接受的位置。 智能手机具有位置测量功能，例如GPS或连接到WAN。 可以通过要求输入也允许用户访问第一人的机密信息的安全代码来验证用户的身份。
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公开(公告)号：US20230004883A1
公开(公告)日：2023-01-05
申请号：US17784626
申请日：2020-12-11
发明人： Justin N. Smith
摘要： An interactive stochastic design tool has an input device, an output device, and a digital processor. The digital processor reads in initiation data describing a stochastic process and a threshold boundary. It then computes one or more realizations of the stochastic process. The realizations and the threshold boundary are displayed on the output device. The user may then input an indication to enforce the threshold boundary. The processor then redisplays the realizations that do not cross the enforced threshold boundary.
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公开(公告)号：US10432014B1
公开(公告)日：2019-10-01
申请号：US16191551
申请日：2018-11-15
摘要： A digital controller controls contingency discharges of a utility from a reservoir to a plant during a first time period and compensatory charges from the plant back to the reservoir during a second time period. The utility can be electric power. The plant and reservoir are connected by a grid. The reservoir may be any electric power storage device. When the utility is electric power, the contingency discharges make up for the power not generated by the plant due to an accident. The compensatory charges replenish the reservoir. The digital controller may use a transfer function nomogram to control the compensatory charges based on the contingency discharges.
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公开(公告)号：US10164462B1
公开(公告)日：2018-12-25
申请号：US15975820
申请日：2018-05-10
摘要： A digital controller controls contingency discharges of a utility from a reservoir to a plant during a first time period and compensatory charges from the plant back to the reservoir during a second time period. The utility can be electric power. The plant and reservoir are connected by a grid. The reservoir may be any electric power storage device. When the utility is electric power, the contingency discharges make up for the power not generated by the plant due to an accident. The compensatory charges replenish the reservoir. The digital controller may use a sectionally linear transfer function with a maximum to control the compensatory charges based on the contingency discharges. The transfer function may be balanced using a trim function so that on average, the compensatory charges will make up for the contingency discharges.
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公开(公告)号：US09280745B1
公开(公告)日：2016-03-08
申请号：US14793841
申请日：2015-07-08
发明人： David Alan Clark , Justin N. Smith
CPC分类号： G06N5/04 , G06N99/005
摘要： An artificial intelligence expert system for screening provides characteristic profiles to candidates to perform a particular task. The profiles have individual screening items within them that are expected to be related to whether or not a person is suitable for the task. The responses from the persons to the items are received by a computer implemented expert system. The expert system applies a combined model to the responses to generate a forecasted performance of the person to the task. The combined model is a linear combination of two or more path dependent regressions performed on data from a set of N training persons with known abilities to do the task. The number of parameters in each path dependent model is limited to a fraction of the number N so that the path dependent models are not over fit to the data. A suitable fraction is ⅕.
摘要翻译： 用于筛选的人工智能专家系统为候选人提供特征轮廓以执行特定任务。 个人资料中有个别筛选项目，预计与某人是否适合任务有关。 由个人到项目的响应由计算机实现的专家系统接收。 专家系统将组合模型应用于响应，以生成人员对任务的预测性能。 组合模型是对具有已知能力的一组N训练人员的数据执行的两个或更多个路径相关回归的线性组合。 每个路径相关模型中的参数数量被限制为数量N的一小部分，以便路径相关模型不适合数据。 合适的分数是⅕。
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公开(公告)号：US11176475B1
公开(公告)日：2021-11-16
申请号：US15975840
申请日：2018-05-10
发明人： Justin N. Smith , David Alan Clark
摘要： An artificial intelligence system for training a classifier has a database of training data and a modeling system for building a classification model based on the training data. The database has a binary classification for each entity and binary tokens indicating whether or not one or more indicators about the entity are true. The classification model is based on a tempered indication of the tokens. The tempered indication is a ratio of a weighted sum of the tokens for each entity divided by a tempering factor for each of the entities. The tempering factor is a function of the unweighted sum of the tokens for each entity. Thus, the tempering factor will reduce the tempered indication when large numbers of low weight tokens are present so that the model does not over predict the probability of an entity being in the classification.
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公开(公告)号：US11138532B1
公开(公告)日：2021-10-05
申请号：US16455808
申请日：2019-06-28
摘要： A statistical facility event monitor has a computer implemented event percentile meter. The event percentile meter counts the number of randomly initiated events that cause a monitored facility to consume a monitored utility over a monitored time period. The event percentile meter then calculates a cumulative distribution function for the randomly initiated events. The event percentile meter uses the cumulative distribution to determine the event percentile for the monitored facility. The event percentile meter then outputs the event percentile.
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