Abstract: The invention discloses a multi-threshold segmentation method for medical images based on an improved salp swarm algorithm. A two-dimensional histogram is established by means of a grayscale image of a medical image and a non-local mean image, then a salp swarm algorithm is used to determine thresholds selected by a Kapur entropy-based threshold method, and the salp swarm algorithm is improved and mutated by an individual-linked mutation strategy during the threshold selection process to avoid local optimization, so that the segmentation effect on the medical image is optimized; and the method has the advantages of good robustness and high accuracy.

Abstract: Systems, methods, and non-transitory computer-readable storage media for determining when to wirelessly communicatively couple together a pair of untethered wireless audio output devices and for determining when to erase a connection history stored on one or both of the wireless audio output devices.

Abstract: Systems and methods are described for enabling flexible signal pathways within a satellite of a satellite communications system. For example, a pathway selection subsystem in a bent-pipe satellite enables a flexible arrangement of non-processed signal pathways that couple uplink antenna ports with downlink antenna ports via uplink and downlink pathway selectors. The pathway selectors can be dynamically reconfigured (e.g., on orbit), so that the configuration of the pathway selectors at one time can form one set of signal pathways between respective uplink and downlink antenna ports, and the configuration at another time can form a different set of signal pathways between respective uplink and downlink antenna ports. The pathway selection subsystem can have a simulcast mode which, when active, couples each of at least one of the uplink antenna ports with multiple of the user downlink antenna ports to form one or more simulcast signal pathways.

Abstract: A biological sample detection device configured to acquire color information of an object of analysis without a deterioration in color extraction accuracy caused by incorrect extraction of color of a colored label and to measure the amount of liquid and determine the type of a sample, by analyzing the biological sample housed in a biological sample tube to which a colored label is attached, and determining whether or not a colored label is present on the biological sample tube; extracting the colored label determined to be present by the colored label presence determining process; removing the colored label from the color image and extracting a detection object region in the biological sample; and analyzing to acquire color information of the detection object region and analyze the liquid amount and the type of the biological sample.

Abstract: Embodiments described include apparatuses, computer program products, and methods for automatic proof of delivery, for example by capturing and decoding a visual indicia. Some embodiments minimize possibilities of errors, false proof, and/or the like in item delivery. At least one embodiment enables automatic proof of delivery in a multi-sensor environment. Example embodiments are configured for capturing an image data object set utilizing at least one of an image sensor set, where the image data object set includes a captured-indicia image data object including a visual indicia; decoding the visual indicia to identify delivery information; identifying a delivery proof image data object from the image data object set; and processing the delivery proof image data object for use as a proof of delivery. Some embodiments include a near-field image sensor for capturing the delivery proof image data object and a far-field sensor for capturing the captured-indicia image data object.

Abstract: Systems, devices and methods are provided for the integration of an analyte data reader and a medication delivery device. The integrated device can include a medication delivery portion, wireless communications circuitry configured to receive data indicative of an analyte level, and electronics. The integrated device can also include one or more near-field communication (NFC) antennas. Example embodiments of adverse condition protection features of the integrated device are also provided.

Abstract: Provided is a mobile terminal which allows pieces of furniture to be virtually arranged. A mobile terminal according to one embodiment of the present invention comprises: a wireless communication unit which is capable of communicating with an external server or an external device; a display unit for displaying an execution screen of a certain application; and a control unit, wherein the execution screen at least comprises: a first area for displaying a first image corresponding to a certain area; a second area for displaying information on each of a plurality of pieces of furniture which can virtually be arranged on the first image; and a third area which includes a chat room for exchanging opinions related to the virtual arrangement of the pieces of furniture on the first image, with a user of at least one predetermined external device on which the certain application is installed.

Abstract: A method of detecting nearby monitoring devices by a monitoring device, including using an internal real-time clock to keep track of periodic preselected times for the monitoring devices to communicate with each other; upon approaching the preselected times, using a processor and short range transceiver to perform a three stage process that enables nearby monitoring devices to take turns communicating their identity to each other.

Abstract: There is provided a mobile terminal capable of being protected against unauthorized use by a third party without using a dedicated key device. A plurality of mobile terminals are previously registered mutually. When unlocked among them, one mobile terminal communicates with another mobile terminal in a communication range of short-range wireless communications, unlocks the above another mobile terminal, and when out of the communication range, locks it again.

Abstract: Systems and methods include reception, at a first device, of a wireless communication packet from a second device, determination, at the first device, of a received service identifier included in the wireless communication packet, determination, at the first device, of whether the received service identifier matches a first service identifier or a second service identifier, if the received service identifier matches the first service identifier or the second service identifier, establishment, at the first device, of a connection to a server of the second device using a device address included in the wireless communication packet, requesting, using the connection and at the first device, of a user identifier from the server of the second device, if the received service identifier matches the first service identifier, transmission, from the first device to a remote server, of a first indication of proximity of a user of the first device to a user associated with the user identifier and a second indication of pr

Abstract: A surveillance system includes at least one image or video capture device and a controller configured to determine a change in location for the at least one image or video capture device from a first location to a second location. First image or video data is received from the at least one image or video capture device at the second location, and in response to the location change, a preconfigured neural network is obtained or weights for a neural network are obtained based at least in part on the received first image or video data. Second image or video data is received from the at least one image or video capture device at the second location and an inference operation is performed on the second image or video data by processing the second image or video data using the obtained weights or the obtained preconfigured neural network.

Abstract: Various systems and methods for providing discovering smart card slots in a device are described herein. A server device for discovering smart card slots in a client device may be implemented with a processor subsystem; and memory including instructions, which when executed by the processor subsystem, cause the processor subsystem to perform operations comprising: receiving, at the server device from the client device, over an established Bluetooth connection, smart card connector parameters, the client device having a plurality of smart card slots; iterating through the plurality of smart card slots; at each slot of the plurality of smart card slots, using a smart card protocol to attempt to access an application at each slot, the application pre-associated with the server device; and in response to identifying the application exists in a slot of the plurality of smart card slots, connecting with the application.

Abstract: Systems and methods for monitoring of icon in an external display device are disclosed. Images of an icon displayed in a display device may be continually captured as video frames by a video camera of an icon monitoring system. While operating in a first mode, video frames may be continually analyzed to determine if the captured image matches an active template icon known to match the captured image of the icon. While the captured image matches the active template icon, operating in the first mode continues. Upon detecting a failed match to the active template icon, the system starts operating in a second to search among known template icons for a new match. Upon finding a new match, the active template icon may be updated to the new match, and operation switches back to the first mode. Times of transitions between the first and second modes may be recorded.

Abstract: A system and method for determining an absolute position of an object in an area is presented. The system includes a server having a processor, and a plurality of camera nodes coupled to the server. Each node includes a camera that acquires images of the object and area. The server receives image data from a camera, detects the object within an approximate location by image analysis techniques, and determines a relative position of the object in pixel coordinates. The processor then detects stationary markers proximate to the relative location of the object, determines an absolute position of the detected markers relative to known markers to define an absolute position of the marker, and determines an absolute location of the object in relation to the absolute location of the detected marker. This absolute position of the object is provided to an official to accurately locate the object in the area.

Abstract: An apparatus for powering a low power communication module via a debug interface is provided. By way of example, a wireless communication device includes a low power communication module, an inverting power supply coupled to the low power communication module, a comparator coupled to the inverting power supply, and an input buffer including a capacitor and a diode. The input buffer is coupled to the comparator and is configured to store energy from a transmission signal line of a debug interface of another device. The comparator is configured to enable the inverting power supply to supply power when an amount of energy stored reaches a minimum threshold and switch off the power supply if a power demand is not sustainable or runs the TX line above a predetermined minimum space voltage.

Abstract: A system and method for applying a low strength, low frequency magnetic field therapy to biological tissues. A coil is excited with a low frequency oscillating current, e.g., 10-1000 Hz. The coil is, e.g., 5-200 turns, having a diameter of 2-20 mm, and produces a magnetic field strength of about 0.01-5 mTelsa at a distance of 1 cm from the coil, or a cover over the coil, into the tissue. The current is preferably controlled by a smartphone or other programmable device controlled by a downloadable app in accordance with a PEMF program which may be separately downloaded or updated, and may be provided through an audio jack. Alternately, a digital interface and/or wireless interface may control the current. An app on the smartphone may be used to control the frequency, amplitude/envelope modulation, waveform, duration, etc. of the oscillation. The coil may be in mineral housing with a simple filter, and TRRS-type audio jack.

Abstract: A method and system for determining a dose of modulation (DOM) profile are provided. The method may include obtaining a 3D image and a topogram image of the object. The method may further include obtaining a dose of modulation (DOM) profile generation model. The DOM profile generation model may be generated by training a preliminary model based on a plurality of sample CT images, a plurality of sample 3D images corresponding to the plurality of sample CT images, respectively, and a plurality of sample topogram images corresponding to the plurality of sample CT images, respectively. The method may further include executing the DOM profile generation model to generate a DOM profile related to a computed tomography (CT) scan of the object based on the 3D image and the topogram image of the object.

Abstract: A transaction device may include a power reception component configured to receive power from an external device with which the transaction device is to interact to perform a transaction. The transaction device may include a secure element configured to perform the transaction using the power received from the external device. The transaction device may include one or more peripheral components configured to perform one or more operations other than the transaction. The transaction device may include a power management component configured to determine at least one operation, of the one or more operations, to be performed in association with the transaction, and to route power received from the external device to at least one peripheral component, of the one or more peripheral components, capable of performing the at least one operation.

Abstract: A machine learning model may be trained based on a training set including training images depicting various base objects. Each training images may be associated with a ground-truth segmentation corresponding to one or more pixel-wise labels. The machine learning model may be trained to learn base class prototypes corresponding to segmentations of classes of similar base objects. The machine learning model may be further trained based on a support image depicting a novel object. The support image may be associated with an image-level label corresponding to the novel object. The machine learning model may be trained to learn, based on a base class prototype identified as being similar to the support image, a novel class prototype corresponding to the novel object. The trained machine learning model to may be applied to segment a query image. Related systems and computer program products are also provided.

Abstract: In implementations of recognizing text in images, text recognition systems are trained using noisy images that have nuisance factors applied, and corresponding clean images (e.g., without nuisance factors). Clean images serve as supervision at both feature and pixel levels, so that text recognition systems are trained to be feature invariant (e.g., by requiring features extracted from a noisy image to match features extracted from a clean image), and feature complete (e.g., by requiring that features extracted from a noisy image be sufficient to generate a clean image). Accordingly, text recognition systems generalize to text not included in training images, and are robust to nuisance factors. Furthermore, since clean images are provided as supervision at feature and pixel levels, training requires fewer training images than text recognition systems that are not trained with a supervisory clean image, thus saving time and resources.