Abstract: A corpus of documents (and other data objects) stored for an entity can be analyzed to determine one or more topics for each document. Elements of the documents can be analyzed to also assign a risk score. The types of topics and security elements, and the associated risk scores, can be learned and adapted over time using, for example, a topic model and random forest regressor. Activity with respect to the documents is monitored, and expected behavior for a user determined using a trained recurrent neural network. Ongoing user activity is processed to determine whether the activity excessively deviates from the expected user activity. The activity can also be compared against the activity of user peers to determine whether the activity is also anomalous among the user peer group. For anomalous activity, risk scores of the accessed documents can be analyzed to determine whether to generate an alert.

Abstract: A system for determining a location of a work machine operator relative to a work machine comprises a machine controller, a radio frequency receiver, and an infrared transmitter unit. The unit comprises a plurality of infrared transmitters configured to generate infrared signals that collectively divide a 360-degree area around the infrared transmitter unit into a plurality of zones. A remote controller remote from the work machine, which comprises a radio frequency transceiver and an infrared receiver, is configured to receive the infrared signal generated by at least one of the plurality of infrared transmitters. The remote controller has a computer system which is configured to decode information within the one or more infrared signals to determine whether the operator is in an approved zone. The computer system enables the radio frequency transceiver to communicate with the radio frequency receiver upon determining that the operator is in the approved zone.

Abstract: A system for determining a location of a work machine operator relative to a work machine comprises a machine controller, a radio frequency receiver, and an infrared transmitter unit. The unit comprises a plurality of infrared transmitters configured to generate infrared signals that collectively divide a 360-degree area around the infrared transmitter unit into a plurality of zones. A remote controller remote from the work machine, which comprises a radio frequency transceiver and an infrared receiver, is configured to receive the infrared signal generated by at least one of the plurality of infrared transmitters. The remote controller has a computer system which is configured to decode information within the one or more infrared signals to determine whether the operator is in an approved zone. The computer system enables the radio frequency transceiver to communicate with the radio frequency receiver upon determining that the operator is in the approved zone.

Abstract: A corpus of documents (and other data objects) stored for an entity can be analyzed to determine one or more topics for each document. Elements of the documents can be analyzed to also assign a risk score. The types of topics and security elements, and the associated risk scores, can be learned and adapted over time using, for example, a topic model and random forest regressor. Activity with respect to the documents is monitored, and expected behavior for a user determined using a trained recurrent neural network. Ongoing user activity is processed to determine whether the activity excessively deviates from the expected user activity. The activity can also be compared against the activity of user peers to determine whether the activity is also anomalous among the user peer group. For anomalous activity, risk scores of the accessed documents can be analyzed to determine whether to generate an alert.

Abstract: A corpus of documents (and other data objects) stored for an entity can be analyzed to determine one or more topics for each document. Elements of the documents can be analyzed to also assign a risk score. The types of topics and security elements, and the associated risk scores, can be learned and adapted over time using, for example, a topic model and random forest regressor. Activity with respect to the documents is monitored, and expected behavior for a user determined using a trained recurrent neural network. Ongoing user activity is processed to determine whether the activity excessively deviates from the expected user activity. The activity can also be compared against the activity of user peers to determine whether the activity is also anomalous among the user peer group. For anomalous activity, risk scores of the accessed documents can be analyzed to determine whether to generate an alert.

Abstract: A corpus of documents (and other data objects) stored for an entity can be analyzed to determine one or more topics for each document. Elements of the documents can be analyzed to also assign a risk score. The types of topics and security elements, and the associated risk scores, can be learned and adapted over time using, for example, a topic model and random forest regressor. Activity with respect to the documents is monitored, and expected behavior for a user determined using a trained recurrent neural network. Ongoing user activity is processed to determine whether the activity excessively deviates from the expected user activity. The activity can also be compared against the activity of user peers to determine whether the activity is also anomalous among the user peer group. For anomalous activity, risk scores of the accessed documents can be analyzed to determine whether to generate an alert.

Abstract: A community-based marketing and advertising service uses an application (“app”) that is configured to provide location-aware services to promote local businesses and show the character and/or history of the location to customers and visitors who use the app. The app may be implemented on diverse computing platforms as both web- and smartphone-based products having location-awareness capabilities provided, for example, by GPS (Global Positioning System) or mobile phone tracking technologies such as cell tower triangulation. The app is implemented in a manner to readily enable businesses to market and advertise using, for example, social networking constructs such as blogging and tweeting while simultaneously providing users with easy-to-use tools to plan a visit, navigate and receive directions in real time using maps displayed by the app, receive promotional offers such as coupons, and generate feedback for the benefit of other users while at or near a given location in the community.

Abstract: A process for producing a product slate, which includes at least three base oil grades having kinematic viscosities at 100° C. within the range between about 1.8 cSt and 30 cSt, from a waxy feed having an initial boiling point of about 340° C. or less and a final boiling point of about 560° C. or higher, said process comprising (a) isomerizing at least a portion of the waxy feed, whereby the amount of isoparaffins present are increased; (b) distilling a first portion of the isomerized waxy feed in light block mode operation into at least three base oil fractions having different boiling ranges; (c) distilling a second portion of the isomerized waxy feed in medium block mode operation into at least three base oil fractions having different boiling ranges; and (d) blending at least one base oil fraction produced from light block mode with at least one base oil fraction produced from medium block mode to produce a lubricating base oil blend meeting a target value for at least one pre-selected property.

Abstract: A method for preparing low toxicity Fischer-Tropsch fuels suitable for use in a diesel engine and Fischer-Tropsch derived fuel compositions having low toxicity suitable for use in diesel engines characterized by a boiling range distribution wherein the 5 weight percent point is at a temperature of 570 degrees F. or less and the 95 weight percent point is at or above a temperature of 680 degrees F.; a kinematic viscosity at 40 degrees C. of less than 5.5 cSt; and a cloud point of less than ?18 degrees C.