Abstract: A computer-implemented semantic analysis system for ranking search results has instructions including the steps: receive a query about a first document authored by a person; read in data identifying the first document; read in a second document about the person authored after the first document; identify indicator terms in the second document related to whether or not there is a significant discrepancy between the second document and the first document; read in weighting factors for the identified indicator terms; determine an aggregate weighting factor that decreases with an increasing number of indicator terms found; and calculate a score of how much of a discrepancy there is between the second document and the first document using the weighting factors. When multiple first documents are returned for multiple persons, present the links in order from high score to low score.

Abstract: The invention provides novel sample chambers, sample analysis units, multi-well plates, and imaging and analytical systems as well as methods for accurate, efficient and high-throughput imaging, measurement and analysis of diverse types of biological cells to obtain information such as cell count, cell size, cell concentration, cell sub-population, cell morphology, cell viability, etc.

Abstract: A computer-implemented semantic analysis system for ranking search results has instructions including the steps: receive a query about a first document authored by a person; read in data identifying the first document; read in a second document about the person authored after the first document; identify indicator terms in the second document related to whether or not there is a significant discrepancy between the second document and the first document; read in weighting factors for the identified indicator terms; determine an aggregate weighting factor that decreases with an increasing number of indicator terms found; and calculate a score of how much of a discrepancy there is between the second document and the first document using the weighting factors. When multiple first documents are returned for multiple persons, present the links in order from high score to low score.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A computer-implemented semantic analysis system for ranking search results has instructions including the steps: receive a query about a first document authored by a person; read in data identifying the first document; read in a second document about the person authored after the first document; identify indicator terms in the second document related to whether or not there is a significant discrepancy between the second document and the first document; read in weighting factors for the identified indicator terms; determine an aggregate weighting factor that decreases with an increasing number of indicator terms found; and calculate a score of how much of a discrepancy there is between the second document and the first document using the weighting factors. When multiple first documents are returned for multiple persons, present the links in order from high score to low score.

Abstract: A digital controller controls discharges of a utility from a reservoir to a plant during a first time period and recharges of said utility from the plant back to the reservoir during a second time period. The reservoir can be any storage device. When the utility is electric power, the discharges make up for the power not generated by the plant due to an accident. The digital controller may use a balanced nonlinear transfer function to control the recharges based on the discharges. If there is a long duration discharge that extends beyond the end of the first time period, the digital controller may use a Monte Carlo simulation along with a tail distribution for the long duration discharge and the balanced transfer function to forecast the recharge required during the second time period.

Abstract: A system verifies whether or not an employee is actually on a job at a location during a standard time period, such as a work shift, by sending alerts to the employee's smart phone. The employee must respond to the alerts. The alerts are sent at random time intervals with a certain average rate. The average rate, called a Poisson parameter, can be varied over the course of a shift.

Abstract: 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.

Abstract: 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.

Abstract: A statistical facility monitor has a consumption percentile meter. The consumption percentile meter reads in utility consumption data from a monitored facility over a period of time. The consumption percentile meter then reads in a cumulative distribution of consumption percentile versus normalized utility consumption for similar reference facilities. The cumulative distribution is based on other facilities in the same facility class as the monitored facility. The consumption percentile meter uses the cumulative distribution to determine the consumption percentile for the monitored facility relative to the reference facilities. The meter then outputs the consumption percentile.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A payroll company makes use of networked peripherals located with a client company's employees to perform tasks like monitoring employee attendance at jobsites according to schedule, using attendance data to compute wages, benefits and insurance premiums, permitting instant employee access to payroll and benefit data, and permitting the client's managers to actively check up on employees' statuses.

Abstract: 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 ?.