Abstract:
A method, a computer program product, and a computer system determine abnormal motion from a patient. The method includes receiving sensory data of the patient and a location in which the patient is present. The sensory data includes video data over a period of time the patient is being monitored. The method includes generating contextual information based on the sensory data. The contextual information is indicative of surroundings of the patient and characteristics of the location. The method includes generating motion information based on the sensory data. The motion information is indicative of movement of the patient in the location. The method includes generating contextual motion data by incorporating the contextual information with the motion information. The method includes determining the abnormal motion based on the contextual motion data.
Abstract:
One or both of epilepsy seizure detection and prediction at least by performing the following: running multiple input signals from sensors for epilepsy seizure detection through multiple classification models, and applying weights to outputs of each of the classification models to create a final classification output. The weights are adjusted to tune relative output contribution from each classifier model in order that accuracy of the final classification output is improved, while power consumption of all the classification models is reduced. One or both of epilepsy seizure detection and prediction are performed with the adjusted weights. Another method uses streams from sensors for epilepsy seizure detection to train and create the classification models, with fixed weights once trained. Information defining the classification models with fixed weights is communicated to wearable computer platforms for epilepsy seizure detection and prediction. The streams may be from multiple people and applied to an individual person.
Abstract:
A method, system and computer program product for accelerating a deep neural network (DNN) in a field-programmable gate array (FPGA) are disclosed. The method includes receiving a DNN net file and weights, converting the received DNN net file to one or more source files, generating an executable FPGA bit file using the one or more source files, and downloading the executable FPGA bit file from the DNN conversion platform to the FPGA. Converting of the received DNN net file and the weights to the one or more source files can further include analyzing the DNN net file to identify a plurality of neural layers, decomposing one or more neural layers of the plurality of neural layers to one or more operation blocks, instantiating the one or more source files, based on the one or more operation blocks.
Abstract:
A method, system, and computer program product for enablement of a phone conversation. The method includes receiving a combined signal including an interference signal and a first voice signal from a first user having a communication with a second user. The interference signal can be used to prevent the first voice signal from being overheard by people near the first user. The first voice signal can be extracted from the combined signal based at least in part on the interference signal and transmitting the extracted first voice signal to the second user. The system and computer program product are also provided.
Abstract:
A travel reporter system is used to report abnormal travel events. In use, a sensor mounted on a vehicle obtains real-time data about an object near the vehicle. The object has an object type which is identified by processing the real-time data with an object recognition subsystem of the travel reporter system. An event evaluation subsystem of the travel reporter system processes the real-time data and the object type in order to determine that the object is associated with an abnormal travel event. The abnormal travel event has an event type which is processed by an event notification subsystem of the travel reporter system in order to select a first information consumer type. The event notification subsystem reports the abnormal travel event to information consumers having the first information consumer type.
Abstract:
A travel reporter system is used to report abnormal travel events. In use, a sensor mounted on a vehicle obtains real-time data about an object near the vehicle. The object has an object type which is identified by processing the real-time data with an object recognition subsystem of the travel reporter system. An event evaluation subsystem of the travel reporter system processes the real-time data and the object type in order to determine that the object is associated with an abnormal travel event. The abnormal travel event has an event type which is processed by an event notification subsystem of the travel reporter system in order to select a first information consumer type. The event notification subsystem reports the abnormal travel event to information consumers having the first information consumer type.
Abstract:
A travel reporter system is used to report abnormal travel events. In use, a sensor mounted on a vehicle obtains real-time data about an object near the vehicle. The object has an object type which is identified by processing the real-time data with an object recognition subsystem of the travel reporter system. An event evaluation subsystem of the travel reporter system processes the real-time data and the object type in order to determine that the object is associated with an abnormal travel event. The abnormal travel event has an event type which is processed by an event notification subsystem of the travel reporter system in order to select a first information consumer type. The event notification subsystem reports the abnormal travel event to information consumers having the first information consumer type.
Abstract:
A method for signal modulation includes determining at least one guard band between at least two continuous available sub-bands among multiple available sub-bands that can be used by a communication entity and are discrete; and using the at least one guard band in signal modulation for the communication entity.
Abstract:
An adaptive modulation coding method includes obtaining an estimated signal-to-interference-plus-noise ratio (SINR) and a packet error rate (PER) of a communication link of a user terminal; setting a first adjustment amount of the SINR of the communication link according to the PER of the communication link; calculating an effective SINR of the communication link according to the estimated SINR of the communication link and the first adjustment amount of the SINR of the communication link; and determining a modulation coding scheme of the communication link according to the effective SINR of the communication link.
Abstract:
A method and system for handing off a terminal among a plurality of wireless access points (APs) connected to a central management AP. The method comprising: receiving network condition information of a terminal communicatively connected to a first wireless AP among the plurality of wireless APs. Determining a second wireless AP the plurality of wireless APs to which the terminal is to be handed off based on the network condition information of the terminal. The second wireless AP is virtually connected to the terminal. Submitting a handoff request to the second wireless AP. Notifying the terminal to hand off to the second wireless AP in response to receiving a handoff response from the second wireless AP.