Abstract: A key frame detector and method having input interface accepting multiple frames including a previous frame and a current frame, a programmable logic chip coupled to the input interface that receives a background frame, determines a similarity based on a comparison of the current frame with the background frame and discards the current frame if the similarity is greater than a predetermined similarity threshold, determines an absolute difference on a pixel by pixel basis between the current frame and the previous frame and discards the current frame if the absolute difference is less than a predetermined absolute difference threshold, determines a wholeness of an object in the current frame and discards the current frame if the object is not whole, determines whether the current frame with the whole object has been previously provisionally selected and discards if it has and analyzes the Whole object via an object detector.

Abstract: A key frame detector and method having input interface accepting multiple frames including a previous frame and a current frame, a programmable logic chip coupled to the input interface that receives a background frame, determines a similarity based on a comparison of the current frame with the background frame and discards the current frame if the similarity is greater than a predetermined similarity threshold, determines an absolute difference on a pixel by pixel basis between the current frame and the previous frame and discards the current frame if the absolute difference is less than a predetermined absolute difference threshold, determines a wholeness of an object in the current frame and discards the current frame if the object is not whole, determines whether the current frame with the whole object has been previously provisionally selected and discards if it has and analyzes the Whole object via an object detector.

Abstract: A system for event detection and reporting has primary sensors for producing raw data from observing the proximate area, one or more processors for the primary sensors, for processing the raw data to produce output, a centralized controller to which each of the processors is connected, for receiving the output, a security network for communicating between the sensors, the controller, and one or more remote terminals, the security network having an alarm, and a plurality of auxiliary sensors for providing secondary sensor information to the one or more processors wherein the controller provides an alarm to the remote terminals through the security network if an event has occurred. A method of event detection has the steps of receiving a control command, alarm message and sensor information, determining if an event has occurred, and sending alarm messages and filtered sensor information to remote terminals if an event has occurred.

Abstract: Technologies are generally described to provide multi-objective dynamic resource optimization for self-organizing networks. In some examples, a system employing dynamic resource optimization may allocate network resources to a group of subscribers to enable granular policy management per cell, per subscriber type, per service, and/or per user resource. The dynamic resource optimization may be based on optimization/improvement of a throughput objective and a quality of experience (QoE) objective. Users maybe segmented into different groups according to subscriber types with each group having a priority level assigned. Resources may be allocated first to a highest or relatively higher priority group of users, and remaining resources may be consecutively allocated to lower priority groups. The QoE objective may be quantitatively determined by mapping real time quality of service (QoS) parameters associated with the subscriber group.

Abstract: Methods and systems are described for improved drilling operations through the use of real-time drilling data to predict bit wear, lithology, pore pressure, a rotating friction coefficient, permeability, and cost in real-time and to adjust drilling parameters in real-time based on the predictions. The real-time lithology prediction is made by processing the real-time drilling data through a multilayer neural network. The real-time bit wear prediction is made by using the real-time drilling data to predict a bit efficiency factor and to detect changes in the bit efficiency factor over time. These predictions may be used to adjust drilling parameters in the drilling operation in real-time, subject to override by the operator. The methods and systems may also include determining various downhole hydraulics parameters and a rotary friction factor. Historical data may be used in combination with real-time data to provide expert system assistance and to identify safety concerns.

Abstract: A system for event detection and reporting has primary sensors for producing raw data from observing the proximate area, one or more processors for the primary sensors, for processing the raw data to produce output, a centralized controller to which each of the processors is connected, for receiving the output, a security network for communicating between the sensors, the controller, and one or more remote terminals, the security network having an alarm, and a plurality of auxiliary sensors for providing secondary sensor information to the one or more processors wherein the controller provides an alarm to the remote terminals through the security network if an event has occurred. A method of event detection has the steps of receiving a control command, alarm message and sensor information, determining if an event has occurred, and sending alarm messages and filtered sensor information to remote terminals if an event has occurred.

Abstract: Technologies are presented for implementing a compressive-sensing-based data collection system in a cloud environment. In some examples, high-dimensional sensor data may be compressed using sparsity transforms and compressive sampling. The resulting low-dimensional data messages may be steered through a switch network to a cloud service manager, which then reconstructs the compressed messages for subsequent analysis, reporting, and/or comparable actions.

Abstract: Technologies are generally described to provide multi-objective dynamic resource optimization for self-organizing networks. In some examples, a system employing dynamic resource optimization may allocate network resources to a group of subscribers to enable granular policy management per cell, per subscriber type, per service, and/or per user resource. The dynamic resource optimization may be based on optimization/improvement of a throughput objective and a quality of experience (QoE) objective. Users maybe segmented into different groups according to subscriber types with each group having a priority level assigned. Resources may be allocated first to a highest or relatively higher priority group of users, and remaining resources may be consecutively allocated to lower priority groups. The QoE objective may be quantitatively determined by mapping real time quality of service (QoS) parameters associated with the subscriber group.

Abstract: Technologies are generally described for a broadband passive sensing and tracking system that may employ a number of passive receivers that each have the capability of sensing electromagnetic waves (e.g., Radio Frequency “RF” signals) from surrounding broadcast sources. Each passive receiver may be adapted to sense through one or more antennas. Multiple receivers at different positions may be utilized to form a broadband sensing network adapted to perform collaborative tracking of a scene of interest. According to some examples, a beam-forming algorithm may be applied over the broadband sensing network utilizing an antenna array formed by the passive receivers to localize and track objects.

Abstract: Methods and systems are described for improved drilling operations through the use of real-time drilling data to predict bit wear, lithology, pore pressure, a rotating friction coefficient, permeability, and cost in real-time and to adjust drilling parameters in real-time based on the predictions. The real-time lithology prediction is made by processing the real-time drilling data through a multilayer neural network. The real-time bit wear prediction is made by using the real-time drilling data to predict a bit efficiency factor and to detect changes in the bit efficiency factor over time. These predictions may be used to adjust drilling parameters in the drilling operation in real-time, subject to override by the operator. The methods and systems may also include determining various downhole hydraulics parameters and a rotary friction factor. Historical data may be used in combination with real-time data to provide expert system assistance and to identify safety concerns.

Abstract: Technologies are presented for implementing a compressive-sensing-based data collection system in a cloud environment. In some examples, high-dimensional sensor data may be compressed using sparsity transforms and compressive sampling. The resulting low-dimensional data messages may be steered through a switch network to a cloud service manager, which then reconstructs the compressed messages for subsequent analysis, reporting, and/or comparable actions.

Abstract: Technologies are presented for implementing a compressive-sensing-based data collection system in a cloud environment. In some examples, high-dimensional sensor data may be compressed using sparsity transforms and compressive sampling. The resulting low-dimensional data messages may be steered through a switch network to a cloud service manager, which then reconstructs the compressed messages for subsequent analysis, reporting, and/or comparable actions.

Abstract: Methods and systems are described for improved drilling operations through the use of real-time drilling data to predict bit wear, lithology, pore pressure, a rotating friction coefficient, permeability, and cost in real-time and to adjust drilling parameters in real-time based on the predictions. The real-time lithology prediction is made by processing the real-time drilling data through a multilayer neural network. The real-time bit wear prediction is made by using the real-time drilling data to predict a bit efficiency factor and to detect changes in the bit efficiency factor over time. These predictions may be used to adjust drilling parameters in the drilling operation in real-time, subject to override by the operator. The methods and systems may also include determining various downhole hydraulics parameters and a rotary friction factor. Historical data may be used in combination with real-time data to provide expert system assistance and to identify safety concerns.

Abstract: Technologies are generally described herein for generating a higher resolution still frame. Some example technologies may configure a video camera at a first configuration, which the video camera to capture video at a first pixel offset. The technologies may capture a first frame of al field-of-view through the video camera configured at the first configuration. The first flame may contain the field-of-view captured at the first pixel offset. The technologies may adjust the video camera from the first configuration to a second configuration, which adapts the video camera to capture the video at a second pixel offset, the adjustment using a hardware mechanism. The technologies may capture a second frame of the field-of-view through the video camera configured at the second configuration. The second frame may contain the field-of-view captured at the second pixel offset.

Abstract: In its many embodiments, the present invention provides a novel class of heterocyclic compounds of the formula: as modulators of gamma secretase, methods of preparing such compounds, pharmaceutical compositions containing one or more such compounds, methods of preparing pharmaceutical formulations comprising one or more such compounds, and methods of treatment, prevention, inhibition, or amelioration of one or more disease associated with the central nervous system using such compounds or pharmaceutical compostions.

Abstract: Methods and systems are described for improved drilling operations through the use of real-time drilling data to predict bit wear, lithology, pore pressure, a rotating friction coefficient, permeability, and cost in real-time and to adjust drilling parameters in real-time based on the predictions. The real-time lithology prediction is made by processing the real-time drilling data through a multilayer neural network. The real-time bit wear prediction is made by using the real-time drilling data to predict a bit efficiency factor and to detect changes in the bit efficiency factor over time. These predictions may be used to adjust drilling parameters in the drilling operation in real-time, subject to override by the operator. The methods and systems may also include determining various downhole hydraulics parameters and a rotary friction factor. Historical data may be used in combination with real-time data to provide expert system assistance and to identify safety concerns.

Abstract: Disclosed are compounds of the formula I or a stereoisomer, tautomer, or pharmaceutically acceptable salt or solvate thereof, wherein each variable in Formula I are as defined in the specification; and pharmaceutical compositions comprising the compounds of formula I. Also disclosed are methods of inhibiting aspartyl protease, and in particular, the methods of treating cardiovascular diseases, cognitive and neurodegenerative diseases, and the methods of inhibiting of Human Immunodeficiency Virus, plasmepins, cathepsin D and protozoal enzymes. Also disclosed are methods of treating cognitive or neurodegenerative diseases using the compounds of formula I in combination with a cholinesterase inhibitor or a muscarinic m1 agonist or m2 antagonist.

Abstract: Technologies are generally described for a broadband passive sensing and tracking system that may employ a number of passive receivers that each have the capability of sensing electromagnetic waves (e.g., Radio Frequency “RF” signals) from surrounding broadcast sources. Each passive receiver may be adapted to sense through one or more antennas. Multiple receivers at different positions may be utilized to form a broadband sensing network adapted to perform collaborative tracking of a scene of interest. According to some examples, a beam-forming algorithm may be applied over the broadband sensing network utilizing an antenna array formed by the passive receivers to localize and track objects.

Abstract: In many embodiments, the present invention provides novel heterocyclic compounds which are modulators of gamma secretase, methods of preparing such compounds, pharmaceutical compositions containing one or more such compounds, methods of preparing pharmaceutical formulations comprising one or more such compounds, and methods of treatment, prevention, inhibition, or amelioration of one or more disease associated with the central nervous system using such compounds or pharmaceutical compositions.

Abstract: Technologies are generally described herein for generating a higher resolution still frame. Some example technologies may configure a video camera at a first configuration, which the video camera to capture video at a first pixel offset. The technologies may capture a first frame of al field-of-view through the video camera configured at the first configuration. The first flame may contain the field-of-view captured at the first pixel offset. The technologies may adjust the video camera from the first configuration to a second configuration, which adapts the video camera to capture the video at a second pixel offset, the adjustment using a hardware mechanism. The technologies may capture a second frame of the field-of-view through the video camera configured at the second configuration. The second frame may contain the field-of-view captured at the second pixel offset.