Abstract: Methods and systems are described for digitally reconstructing an unknown 3D structure of a target molecule using orthogonal extension. A plurality of 2D images of the target molecule are captured by an imaging system. An estimated low-order moment of the unknown 3D structure (e.g., a covariance matrix) is calculated based on the 2D images. A homologous molecule having a known 3D structure is identified and at least one expansion coefficient of the known structure of the homologous molecule is determined. At least one estimated expansion coefficient for the unknown structure is calculated based at least in part on the estimated low order moment of the unknown structure and the at least one expansion coefficient of the known structure. An estimated 3D reconstruction of the target molecule is then generated based on the at least one estimated expansion coefficient for the unknown structure of the target molecule.

Abstract: Methods and systems including a measurement device and a smart mobile device including a camera, a processor, a memory communicatively coupled to the processor, and machine readable instructions stored in the memory that may cause a system to perform at least the following when executed by the processor: use the camera of the smart mobile device to capture an image of a remote product; apply a sizing algorithm to the image of the remote product to generate a relative product size; generate a relative distance to the remote product through the measurement device; and apply triangulation and linear regression algorithms to generate an automated actual product measurement of the remote product based on the relative product size and the relative distance.

Abstract: Media control devices, methods and systems for communicating with mobile devices and headsets are disclosed. At least one control device may include a top surface, a bottom surface, circuitry for communicating with mobile devices and headsets, at least one button designed to be manipulated by users wearing gloves, a microphone for receiving audio input from the users, and a securement mechanism for securing the control device to the users' person, clothing and/or equipment.

Abstract: A simultaneously localization and dense three-dimensional reconstruction method, being capable of processing rapid motion and frequent closing of a loop in a robust manner, and operating at any time in a large-scale scene. Provided by the method is a key frame-based simultaneous localization and map construction framework. First, depth and color information are used simultaneously, and the framework may operate on central processing unit (CPU) at high speed based on localization of the key frame, and operate in challenging scene in robust manner. To reduce accumulated errors, the method introduces increment bundle adjustment, which may greatly reduce an operation amount and enable local and global bundle adjustment to be completed in a unified framework. Secondly, provided by the method is a key frame-based fusion method, and a model may be generated online and a three-dimensional model may be updated in real time during adjustment of the key frame's pose.

Abstract: In some examples, artificial intelligence based plantable blank spot detection may include generating a plurality of clusters of input images of areas that are to be analyzed for plantable blank spot detection. For each cluster of the plurality of clusters, a model may be identified to analyze corresponding images of a cluster. A model may be selected, from the models identified for the plurality of clusters, to analyze the input images. Canal lines may be identified in the analyzed images. Plantable blank spots may be determined in the analyzed images. An operation of a drone may be controlled to validate the determination of the plantable blank spots.

Abstract: Various embodiments of a vision-based privacy-preserving embedded fall-detection system are disclosed. This embedded fall-detection system can include one or more cameras for capturing video images of one or more persons. Moreover, this embedded fall-detection system can include various fall-detection modules for processing the captured video images including: a pose-estimation module, an action-recognition module, and a fall-detection module, all of which can perform the intended fall-detection functionalities within the embedded system environment in real-time in order to detect falls of the one or more persons. When a fall is detected, instead of sending the original captured images, the embedded fall-detection system can transmit sanitized video images to the server, wherein each detected person is represented by a skeleton figure in place of the actual person images, thereby preserving the privacy of the detected person.

Abstract: Embodiments are disclosed for generating tables from charts. The techniques include determining a chart type of a selected chart. The techniques include determining a plurality of chart elements of the selected chart. Further, the techniques include determining a plurality of measurements of a plurality of data representations of the selected chart. Additionally, the techniques include determining a plurality of corresponding numeric values for the measurements based on the chart elements. Also, the techniques include generating a data table comprising the chart elements and the corresponding numeric values.

Abstract: This invention is a system for remote medical imaging which uses conventional mobile devices (such as two smart phones) and/or augmented reality to calibrate attributes such as the size, color, and shape of a wound, injury, skin lesion, and/or tissue abnormality on a person's body. One of the mobile devices is placed near the wound, injury, skin lesion, and/or tissue abnormality and acts as a digital fiducial marker or color key to help calibrate the size, color, and/or shape of the wound, injury, skin lesion, and/or tissue abnormality.

Abstract: A method for controlling an image acquisition component includes: when a terminal including a movable image acquisition component receives an activating instruction for the image acquisition component, acquired data acquired by a Proximity Sensor (P-sensor) is obtained, the image acquisition component being capable of moving in and out of the terminal under driving of a driving component of the terminal; it is determined whether there is an obstacle in a preset range of the terminal based on the acquired data; and when there is the obstacle in the preset range of the terminal, the activating instruction is forbidden to be executed, and the image acquisition component is kept at a first position in the terminal.

Abstract: Technologies for context-based management of wearable computing devices include a mobile computing device and a wearable computing device. The wearable computing device generates sensor data indicative of a location context of the wearable computing device and transmits the sensor data to the mobile computing device. The mobile computing device generates local sensor data indicative of a location context of the wearable computing device and fuses the local sensor data with the sensor data received from the wearable computing device. The mobile computing device determines a context of the wearable computing device based on the fused sensor data. The mobile computing device determines whether an adjustment to the functionality of the wearable computing device is required based on the determined context. The mobile computing device manages the functionality of the wearable computing device in response to determining that an adjustment to the functionality is required.

Abstract: Methods and systems are disclosed for providing location services. Consistent with disclosed embodiments, disclosed systems and methods may include a beacon registering device for providing location services. The beacon registering device may include a non-transitory memory storing instructions.

Abstract: A method includes confirming when a vehicle accesses a region of interest, obtaining data associated within the region of interest, and determining, based on analytics performed on the data obtained of the region of interest, whether one or more anomalies are present at the region of interest. Obtaining data includes at least one of collecting, with an imaging sensor associated with the vehicle, image data of a given point of interest within the region of interest or collecting, with a motion sensor associated with the vehicle, motion data of the vehicle in a given fragment of interest within the region of interest. The confirming, obtaining and determining steps are performed by at least one processing device comprising a processor operatively coupled to a memory.

Abstract: Embodiments of the present invention describe receiving, by a first device, an information vector over a short-range communication network established between the first device and a second device. Additionally, embodiments comprise determining the first identifier does not match the second identifier, merging one or more smart maps from the two or more computing devices together, comparing a first set of devices represented in the first set of participants and a second set of devices represented in the second set of participants, identifying pairs of matching devices in the first set of devices and the second set of devices, generating a set of unique devices by discarding one device for each pair of matching devices identified, and outputting a smart map comprising a count of participants equal to the sum of participants associated with the set of unique devices.

Abstract: There is provided mechanisms for locating wireless devices. A method is performed by a network operator node of cells. The method comprises obtaining an indication to locate wireless devices in a geographical area from a surveillance center node (s102). The method comprises initiating a change of logical group area identity of those of its cells that at least partly overlap with the geographical area (s104), thereby initiating location reporting from those wireless devices located in the geographical area that are in idle mode. The method comprises, in response thereto, receiving location indicating information from the wireless devices in the geographical area (s106).

Abstract: A device and method for responding to a user voice including an inquiry by outputting a response to the user's voice through a speaker and providing a guide screen including a response to the user's voice.

Abstract: There is provided an information processing apparatus that displays an image on a display unit mounted with a position sensor, and includes a selection unit configured to select one of a sensor coordinate system of the position sensor and a coordinate system different from the sensor coordinate system, an acquisition unit configured to acquire information about a position output from the position sensor, in the coordinate system selected by the selection unit, and a control unit configured to display an image based on the information about the position acquired by the acquisition unit, on the display unit.

Abstract: An input image that includes a target area may be received. A first segment for extracting the target area from the input image may be generated using a first extracting model. A second segment for extracting the target area from the input image may be generated using a second extracting model. The first segment is compared to the second segment to determine a combined segment of at least the target area.

Abstract: In some implementations, a mobile device can adjust an alarm setting based on the sleep onset latency duration detected for a user of the mobile device. For example, sleep onset latency can be the amount of time it takes for the user to fall asleep after the user attempts to go to sleep (e.g., goes to bed). The mobile device can determine when the user intends or attempts to go to sleep based on detected sleep ritual activities. Sleep ritual activities can include those activities a user performs in preparation for sleep. The mobile device can determine when the user is asleep based on detected sleep signals (e.g., biometric data, sounds, etc.). In some implementations, the mobile device can determine recurring patterns of long or short sleep onset latency and present suggestions that might help the user sleep better or feel more rested.

Abstract: Disclosed is a method of checking a surrounding condition of a vehicle. The method of checking a surrounding condition of a vehicle may comprise identifying at least one connectable client in the vehicle, communicating with the identified client to verify performance of the client based on a determination criterion of the performance of the client, assigning an algorithm corresponding to the client based on the verified performance of the client, and checking a surrounding condition of the vehicle based on information obtained from the client as a result of processing image data according to the algorithm in the case of acquiring the image data through a sensor of the vehicle. The vehicle of the present invention can be connected to an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 5G services and so on.

Abstract: An electronic device and method for supporting carrier aggregation are provided. An electronic device may include a communication circuit including a plurality of local oscillators; and a processor configured to determine an operation mode of at least one local oscillator among the plurality of oscillators based on at least one of a number of uplink carriers and a number of downlink carriers; and control the at least one local oscillator to operate based on the determined operation mode.