Abstract: An improved crosspoint memory array device comprising a plurality of memory cells, each memory cell being disposed at an intersection region of bit and word conductive lines, electrically coupled to one of the first conductive lines at a first terminal and to one of the second conductive lines at a second terminal, and comprising a controllable electrical resistance, wherein a back to back Schottky diode is located between each memory cell and one of the said conductive lines, and wherein each conductive line is electrically coupled to at least two thin film transistors (TFTs). The device is substantially produced in BEOL facilities without need of front end semiconductor production facilities, yet can be made with ultra high density and low cost.

Abstract: An improved crosspoint memory array device comprising a plurality of memory cells, each memory cell being disposed at an intersection region of bit and word conductive lines, electrically coupled to one of the first conductive lines at a first terminal and to one of the second conductive lines at a second terminal, and comprising a controllable electrical resistance, wherein a back to back Schottky diode is located between each memory cell and one of the said conductive lines, and wherein each conductive line is electrically coupled to at least two thin film transistors (TFTs). The device is substantially produced in BEOL facilities without need of front end semiconductor production facilities, yet can be made with ultra high density and low cost.

Abstract: Travel-demand forecasting methods are described for predicting traffic volume based, at least in part, on user-entered data in the form of anticipated traffic routes, demographic data and/or other types of socioeconomic data. This data can source a prediction algorithm or be used to forecast traffic patterns. Methods and systems are described for, among other things, optimizing traffic predictions, forecasting traffic patterns using user-assigned trip patterns, associating rich attribute information to navigation routes, exposing personal-logistic information to a group, communicating traffic-situation-generated alerts based on user information, optimizing a presentation of user-defined traffic routes, and presenting location indications based on proximity (temporal or geographical).

Abstract: Travel-demand forecasting methods are described for predicting traffic volume based, at least in part, on user-entered data in the form of anticipated traffic routes, demographic data and/or other types of socioeconomic data. This data can source a prediction algorithm or be used to forecast traffic patterns. Methods and systems are described for, among other things, optimizing traffic predictions, forecasting traffic patterns using user-assigned trip patterns, associating rich attribute information to navigation routes, exposing personal-logistic information to a group, communicating traffic-situation-generated alerts based on user information, optimizing a presentation of user-defined traffic routes, and presenting location indications based on proximity (temporal or geographical).

Abstract: The invention generally relates to enabling the management of survey data. One embodiment includes providing an upload description that describes characteristics of survey data to be uploaded, assigning a thread to process a group of files that store aspects of the survey data, dividing the file into data chunks, deriving from a given data chunk a corresponding data-integrity value and respectively associating the same with the given data chunk, communicating the data chunks to a remote storage device, utilizing the corresponding data-integrity values to ensure successful communication of the data chunk, and spatially storing the survey data such that it is retrievable upon a request that describes a geographic area of interest.

Abstract: The invention generally relates to enabling the management of survey data. One embodiment includes providing an upload description that describes characteristics of survey data to be uploaded, assigning a thread to process a group of files that store aspects of the survey data, dividing the file into data chunks, deriving from a given data chunk a corresponding data-integrity value and respectively associating the same with the given data chunk, communicating the data chunks to a remote storage device, utilizing the corresponding data-integrity values to ensure successful communication of the data chunk, and spatially storing the survey data such that it is retrievable upon a request that describes a geographic area of interest.

Abstract: Travel-demand forecasting methods are described for predicting traffic volume based, at least in part, on user-entered data in the form of anticipated traffic routes, demographic data and/or other types of socioeconomic data. This data can source a prediction algorithm or be used to forecast traffic patterns. Methods and systems are described for, among other things, optimizing traffic predictions, forecasting traffic patterns using user-assigned trip patterns, associating rich attribute information to navigation routes, exposing personal-logistic information to a group, communicating traffic-situation-generated alerts based on user information, optimizing a presentation of user-defined traffic routes, and presenting location indications based on proximity (temporal or geographical).

Abstract: Travel-demand forecasting methods are described for predicting traffic volume based, at least in part, on user-entered data in the form of origin/destination data pairs, user preferences, demographic data and other types of socioeconomic data. This data can source a prediction algorithm or be used to calibrate or more make accurate a current algorithm. Methods and systems are described for, among other things, optimizing traffic predictions, forecasting traffic patterns using user-assigned trip patterns, associating rich attribute information to navigation routes, exposing personal-logistic information to a group, communicating traffic-situation-generated alerts based on user information, optimizing a presentation of user-defined traffic routes, and presenting location indications based on proximity (temporal or geographical).

Abstract: Presenting of real-world situational data on a dynamically updateable user interface is provided for by providing a dynamically updateable user interface that includes dynamic objects having variable characteristics and that correspond to real-world objects, receiving situational data that corresponds to a status of the one or more real-world objects, and conforming the one or more variable characteristics to be consistent with the situational data such that an observer of the one or more dynamic objects is informed of a current status of a corresponding real-world situation.

Abstract: Travel-demand forecasting methods are described for predicting traffic volume based, at least in part, on user-entered data in the form of origin/destination data pairs, user preferences, demographic data and other types of socioeconomic data. This data can source a prediction algorithm or be used to calibrate or more make accurate a current algorithm. Methods and systems are described for, among other things, optimizing traffic predictions, forecasting traffic patterns using user-assigned trip patterns, associating rich attribute information to navigation routes, exposing personal-logistic information to a group, communicating traffic-situation-generated alerts based on user information, optimizing a presentation of user-defined traffic routes, and presenting location indications based on proximity (temporal or geographical).

Abstract: A system, a method and computer-readable media for presenting dynamic traffic information. A user profile is stored, and advisory data based on the user profile is gathered. The advisory data may include traffic information associated with road segments identified by the user profile. Upon receiving a user input, the advisory data is presented to a user.

Abstract: Developing from a drawing an information-presenting interface that includes one or more display objects having variable display characteristics is provided for by receiving information from a graphics file that describes the drawing; identifying object data from the information; using the object data to render a set of definable objects that are situated to resemble the drawing; and wherein the definable objects can be associated with attributes such that the attributes can be used to present the display objects, and the display characteristics of the display objects, which the display objects correspond to the definable objects, can vary according to received situational input.

Abstract: Travel-demand forecasting methods are described for predicting traffic volume based, at least in part, on user-entered data in the form of origin/destination data pairs, user preferences, demographic data and other types of socioeconomic data. This data can source a prediction algorithm or be used to calibrate or more make accurate a current algorithm. Methods and systems are described for, among other things, optimizing traffic predictions, forecasting traffic patterns using user-assigned trip patterns, associating rich attribute information to navigation routes, exposing personal-logistic information to a group, communicating traffic-situation-generated alerts based on user information, optimizing a presentation of user-defined traffic routes, and presenting location indications based on proximity (temporal or geographical).

Abstract: Presenting of real-world situational data on a dynamically updateable user interface is provided for by providing a dynamically updateable user interface that includes dynamic objects having variable characteristics and that correspond to real-world objects, receiving situational data that corresponds to a status of the one or more real-world objects, and conforming the one or more variable characteristics to be consistent with the situational data such that an observer of the one or more dynamic objects is informed of a current status of a corresponding real-world situation.

Abstract: Presenting of real-world situational data on a dynamically updateable user interface is provided for by providing a dynamically updateable user interface that includes dynamic objects having variable characteristics and that correspond to real-world objects, receiving situational data that corresponds to a status of the one or more real-world objects, and conforming the one or more variable characteristics to be consistent with the situational data such that an observer of the one or more dynamic objects is informed of a current status of a corresponding real-world situation.

Abstract: A system, a method and computer-readable media for presenting dynamic traffic information. A user profile is stored, and advisory data based on the user profile is gathered. The advisory data may include traffic information associated with road segments identified by the user profile. Upon receiving a user input, the advisory data is presented to a user.

Abstract: A method and apparatus for use in a subterranean well is described. The apparatus typically includes a mandrel and a packing element. The mandrel may have an outer surface and a non-circular cross-section and the packing element may be arranged about the mandrel, the packing element having a non-circular inner surface matching the mandrel outer surface such that concentric rotation between the mandrel and the packing element is precluded. The apparatus may include slips having cavities to facilitate removal of the apparatus. The apparatus also may include a valve for controlling upward fluid flow through a hollow mandrel. The valve may include a flapper having at least one tab to engage at least one recession in the mandrel such that rotation between the mandrel and the valve is precluded when the valve is in a closed position. The apparatus may further include a central member which is releaseably attached to the mandrel by a release mechanism.

Abstract: An improved control apparatus that automatically maintains line balance and prevents part jam up in a manufacturing process by selectively removing parts from a conveyor line coupling successive manufacturing stations. The apparatus includes a stationary proximity sensor and air knife mounted with respect to the conveyor line, a timer, a solenoid-operated air valve for coupling the air knife to a source of compressed air, and an excess part bin adjacent the conveyor line. When the proximity sensor is closed for more than a first predetermined interval, an impending jam-up of parts is detected, and the timer activates the solenoid-operated air valve for a second predetermined interval, causing the air knife to blow one or more parts from the conveyor line into the excess parts bin. A manually operated switch may be provided for continually activating the air valve to remove all parts during maintenance operations.