Abstract: A magnetic sensor integrated circuit, a motor assembly and an application device are provided. The integrated circuit includes a housing, a semiconductor substrate, at least one input port and an output port, and an electronic circuit arranged on the semiconductor substrate. The electronic circuit includes a rectifying circuit, a magnetic field detection circuit configured to detect an external magnetic field and output magnetic field detection information, and an output control circuit connected to the rectifying circuit, and configured to control, at least based on the magnetic field detection information, the integrated circuit to operate in at least one of a first state in which a load current flows from the output port to an outside of the integrated circuit and a second state in which a load current flows from the outside of the integrated circuit to the output port. The load current flows through the rectifying circuit.

Abstract: In one embodiment, an apparatus comprises a communication interface and a processor. The communication interface is to communicate with a plurality of devices. The processor is to: receive compressed data from a first device, wherein the compressed data is associated with visual data captured by sensor(s); perform a current stage of processing on the compressed data using a current CNN, wherein the current stage of processing corresponds to one of a plurality of processing stages associated with the visual data, and wherein the current CNN corresponds to one of a plurality of CNNs associated with the plurality of processing stages; obtain an output associated with the current stage of processing; determine, based on the output, whether processing associated with the visual data is complete; if the processing is complete, output a result associated with the visual data; if the processing is incomplete, transmit the compressed data to a second device.

Abstract: Monitoring and analyzing people interacting with an environment, e.g., looking around, touching, talking, exclaiming, moving items around, staring at something, walking, as well as producing identifiable physiological and/or movement that may be analyzed to determine a person's interest and/or emotional response to the environment. In a shopping context, analysis may determine customer interest in a specific product. Interest/emotional response may be translated into a quantified review and the reviews may be pushed peer-to-peer to others in the environment, used to update signage, propagated to social media, etc. Reviews may be determined in real time and if related to an unusual or negative review, may trigger one or more various responses, e.g., automatic assistance to clear up a problem, perform other error handling, notify a vendor of a problem, trigger an update such as to lower prices, etc.

Abstract: In one embodiment, an apparatus comprises a storage device and a processor. The storage device may store a plurality of compressed images comprising one or more compressed master images and one or more compressed slave images.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

Abstract: Techniques related to applying computer vision to decompressed video are discussed. Such techniques may include generating a region of interest in an individual video frame by translating spatial indicators of a first detected computer vision result from a reference video frame to the individual video frame and applying a greater threshold within the region of interest than outside of the region of interest for computer vision evaluation in the individual frame.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory stores visual data captured by one or more sensors. The processor detects one or more first objects in the visual data based on a machine learning model and one or more first reference templates. The processor further determines, based on an object ontology, that the visual data is expected to contain a second object, wherein the object ontology indicates that the second object is related to the one or more first objects. The processor further detects the second object in the visual data based on the machine learning model and a second reference template. The processor further determines, based on an inference rule, that the visual data is expected to contain a third object. The processor further detects the third object in the visual data based on the machine learning model and a third reference template.

Abstract: Systems and methods for double real-time bidding at a brick and mortar store are disclosed. The systems may include a shopper tracking system for tracking a plurality of shoppers, an electronic sign for displaying messages offering products for auction, and a real-time bidding system for receiving bids to sell an offered product from a plurality of sellers and bids to purchase the product from the plurality of shoppers. Shopping behavior data may be collected by the shopper tracking system from the plurality of shoppers, and used by the real-time bidding system to select the messages offering products.

Abstract: Localization data is accessed, which is based on information collected by one or more sensor devices deployed within an environment. The localization data identifies presence of a person within a particular location within the environment. A feature vector is access, which includes values to describe a plurality of different physical characteristics of the person as measured by a set of one or more sensor devices deployed within the environment when the person was present within the particular location. An emotion of the person is determined from the feature vector data, and the emotion is associated with the particular location within the environment. An emotion heat map is generated of the environment to map emotional responses determined within the environment to specific locations within the environment.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.

Abstract: A method of promoting recovery of cell viability of a damaged respiratory cell. The method includes a step of administering to the cell at least one pharmaceutically acceptable compound, which accelerates sialyglycoconjugate biosynthesis to restore sialylglycoconjugates on the surface of the respiratory cell. Also disclosed are a method and a pharmaceutical composition, both for treating a respiratory condition.

Abstract: A magnetic sensor integrated circuit, a motor and an application apparatus. The magnetic sensor includes a magnetic sensor, a signal processing unit, an output control circuit and an output port. The magnetic sensor receives a constant current sense a magnetic polarity of an external magnetic field and output a differential signal. The signal processing unit amplifies the differential signal and eliminates an offset of the differential signal to obtain a magnetic field detection signal. The output control circuit control, at least based on the magnetic field detection signal, the magnetic sensor integrated circuit to operate in at least one a first state in which a current flows from the output port to the outside and a second state in which a current flows from the outside into the output port.

Abstract: In one embodiment, an apparatus comprises a top-view sensing device to capture sensor data associated with an environment below the top-view sensing device. The apparatus further comprises a processor to: obtain the sensor data captured by the top-view sensing device; generate, based on the sensor data, a visual representation of the environment below the top-view sensing device; determine that the visual representation comprises a representation of a person; identify one or more features associated with the representation of the person; and identify demographic information associated with the person based on the one or more features.

Abstract: In one embodiment, an apparatus comprises a processor to: identify a workload comprising a plurality of tasks; generate a workload graph based on the workload, wherein the workload graph comprises information associated with the plurality of tasks; identify a device connectivity graph, wherein the device connectivity graph comprises device connectivity information associated with a plurality of processing devices; identify a privacy policy associated with the workload; identify privacy level information associated with the plurality of processing devices; identify a privacy constraint based on the privacy policy and the privacy level information; and determine a workload schedule, wherein the workload schedule comprises a mapping of the workload onto the plurality of processing devices, and wherein the workload schedule is determined based on the privacy constraint, the workload graph, and the device connectivity graph.

Abstract: An intravenous drip monitoring method is provided. (A) A monitoring initializing signal is received. (B) A loaded weight is measured to be assigned to be an initial weight and a current weight when the loaded weight is smaller than an empty weight in (C). (D) An alert weight is calculated such that the predetermined minimum alert weight is assigned to be the alert weight. (E) The loaded weight is measured and assigned to be the current weight. (F) When the current weight is not smaller than the alert weight, (E) is performed. (G) When the current weight is between the alert weight and the empty weight, an alert module generates an alert signal and (E) is performed. (H) When the current weight is smaller than the empty weight, a reset to zero and a zero offset calibration is performed on the weighting module and (C) is performed.

Abstract: Techniques are provided for adaptive distribution of video analysis workload over a network of video processor nodes. The nodes may include, for example, internet protocol (IP) cameras, video recorders and/or data centers. The network may also include a management system configured to assign video analysis tasks to the nodes based on the node resources and predictive modelling of the node workload. The management system may re-distribute the tasks based on performance monitoring. Some assigned tasks may be bound to the node while other tasks may be transferrable, by the node, to other nodes. The nodes may be configured to determine which of the transferrable tasks will be locally executed or transferred based on a check of resource usage against a usage policy that specifies thresholds for the determinations. The nodes may be configured to transmit video analysis packets, including image data, analysis completion status and analysis results, to other nodes.

Abstract: Multiple devices are detected in an environment and a user input is received to define a relationship between two or more devices in the plurality of devices. A system can determine that a first of the two or more devices includes a sensor resource and a second of the two or more devices includes an actuator resource. Data is identified describing outputs of the first device corresponding to the sensor resource and inputs of the second device corresponding to the actuator resource. A model is generated modeling interoperation of the sensor resource and actuator resource based at least in part on the data.

Abstract: The present invention provides an optical method for predicting treatment response, survival and recurrence of esophageal cancer patients, comprising analyzing the spectral signatures of patient's tumor tissue spectra. By the features of the present invention, the prediction result achieves the sensitivity of 75% and specificity of 73.3% in concurrent chemoradiotherapy (CCRT) response; the survival prediction rate achieves the sensitivity of 100%; the recurrence prediction rate achieves the sensitivity of 85.7%.

Abstract: Sensors provisioned on a first device detect a movement of the first device corresponding to the first device changing position within an environment. Location information for the first device is updated based on the position change. A plurality of signals are detected, at the first device, from a second device in the environment, determine, and a distance between the first and second devices is determined based on each of the signals. From the signals, another change in position of the first device within the environment is determined and the location information updated for the first device. The movement is detected at the first device at an instance between two of the plurality of signals, and location information for the first device based on the first position change is updated prior to detection of the later of the two signals in the plurality of signals.

Abstract: Methods, computer program products, and systems, for example, for controlling display of an image on a display screen includes, for example, receiving, by one or more processor, data regarding a user selected area relative to a first portion of an image displayed on a display screen to define a second portion of the image, at least a portion of the second portion of the image being outside the first portion of the image displayed on the display screen, and automatically controlling, by the one or more processor, display of the second portion of the image on the display screen based on the user selected area of the image to generally maximize display of the second portion of the image within the display screen.