Abstract: A method includes obtaining a set of image segment identigens for each image segment of an image to produce sets of image segment identigens. The sets of image segment identigens are possible interpretations of an image segment. The method further includes generating a set of relationships between image segments. The relationships provide a list of one or more ways in which the image segments are related. The method further includes processing different permutations of the sets of image segment identigens in accordance with the set of relationships to generate an entigen group. The entigen group represents a most likely interpretation of the image.

Abstract: An information processing apparatus includes an obtaining unit that obtains image data and a recognition result, the image data being data obtained by digitizing a document including plural areas in one document, the recognition result being a result obtained by recognizing the image data, and a control unit that performs control to display an area image corresponding to each of the plural areas in the image data obtained by the obtaining unit and an area recognition result corresponding to each of the plural areas in the recognition result in accordance with a display mode predetermined according to a degree of necessity of a confirming operation corresponding to each of the plural areas.

Abstract: To precisely specify lane regions that are present in an image. In a situation in which a lane specification device an imaging device, and a swimming pool are present, a processor in the lane specification device according to the present disclosure specifies lane regions that are present in an image on the basis of a pattern in which information obtained on the basis of outlines of objects in the image captured by the imaging device appears in the image. In this manner, it is possible to precisely specify the lane regions that are present in the image.

Abstract: Systems and processes can reduce an amount of training data used to generate a machine learning model while maintaining or improving a resultant of the machine learning model. The amount of training data may be reduced by pre-processing the training data to normalize the training data. The training data may include images of portions of an elongated object, such as a road. Each of the images can be normalized by, for example, rotating each of the images such that the depicted roads are horizontal or otherwise share the same angle. By aligning disparate images of roads, it is possible to reduce the amount of training data and to increase the accuracy of the machine learning model. Further, the use of normalized images by the machine learning model enables a reduction in computing resources used to apply data to the machine learning model to, for example, identify lane markings within images.

Abstract: A bidirectional coupler includes the following elements. A main line and a sub-line are electromagnetically coupled. First and second resistors are each grounded at one end. First and second switches connect the sub-line to the first and second resistors or a third port. A third resistor is disposed between one end of the sub-line and the first switch or between the other end of the sub-line and the second switch. When detecting an input signal, the first switch electrically connects one end of the sub-line to the other end of the first resistor and the second switch electrically connects the other end of the sub-line to the third port. When detecting a reflected signal, the first switch electrically connects one end of the sub-line to the third port and the second switch electrically connects the other end of the sub-line to the other end of the second resistor.

Abstract: A method and system for adjusting satellite communication network based on weather nowcasting are provided herein. The method may include: receiving weather conditions within a specified geographic region from a plurality of sources; obtaining positions of at least one terrestrial terminal within said specified area and a position of a communication satellite being in communication with said at least one terrestrial terminal; generating nowcasting predictions of weather conditions in a plurality of locations along communication paths between said communication satellite and said at least one terrestrial terminals, based on the received weather conditions; calculating total signal attenuation integral along said communication paths, over time, based on said nowcasting predictions; and dynamically adjusting communication characteristics of the at least one terrestrial terminal according to the calculated total signal attenuation.

Abstract: A flexible screen mobile terminal includes: a first body, a second body, a flexible screen, and a screen support, where the screen support is configured to fix the flexible screen, and enable the flexible screen to be movably connected to at least one of the first body and the second body. The first body and the second body are detachably connected in a plug-connection mode.

Abstract: A method for automatically analyzing and constructing communications to a plurality of recipients includes automatically separating communication content files into page groups in a system comprising one or more intelligent communication design servers, wherein each of the page groups is associated a recipient of the communications, inputting the communication content files into an intra-page machine prediction model to produce intra-page parameters, inputting the communication content files and the intra-page parameters into an intra-page machine prediction model to produce intra-group parameters and inter-group parameters, automatically constructing standard communication design files by an intelligent communication content learning and constructing engine based on the communication content files and the intra-page parameters, intra-group parameters, and inter-group parameters, and printing and finishing physical mailing pieces to be mailed to the recipients based on the standard communication design files.

Abstract: A method and a system for predicting business outcomes for a target user are provided. The method includes generation of a plurality of images such that each image includes a set of colored-blocks arranged in rows and columns and a unique pattern formed by a subset of colored-blocks in the corresponding set of colored-blocks. Each unique pattern is associated with at least one psychometric feature. The plurality of images are presented to the target user for selection. The method further includes receiving a set of images selected by the target user from the plurality of images and analyzing each image to derive psychometric features of the target user. One or more business outcomes are predicted for the target user based on the derived psychometric features and one or more predictor models.

Abstract: Systems and methods for optimizing operator-state detection including tracking position of an operator-facing camera are described. Systems and methods include receiving a first image captured by an operator-facing camera, detecting a first position of the operator-facing camera with respect to the calibration object, ascertaining the first position with respect to at least one fiducial marker within a passenger compartment of a vehicle, capturing, via controller, a second image using the operator-facing camera, determining the second image is captured by the operator-facing camera from a second position with respect to the at least one fiducial marker, and analyzing, based on determining the second image is captured by the operator-facing camera from the second position, the second image to identify facial features of the operator. The receiving, detecting, ascertaining, determining, and analyzing are performed via a controller.

Abstract: An apparatus and method for reducing power consumption of a portable terminal are provided. More particularly, an apparatus and method for reducing power consumption generated in an idle state in order to solve a power consumption problem in a portable terminal are provided. The apparatus includes a state determination unit which is configured independently from an application processor for controlling applications and which wakes up when entering an idle mode to allow the application processor to sleep, and thereafter determines a state of the portable terminal, and if it is determined that the portable terminal escapes from the idle mode, allows the application processor to wake up.

Abstract: When a target image is captured, the device provides a portion of the target image within a target detection region to a preset first model set to calculate positions of face key points and a first confidence value. The face key points and the first confidence value are output by the first model set for a single input of the portion of the first target image into the first model set. When the first confidence value meets a first threshold corresponding to whether the target image is a face image, the device obtains a second target image corresponding to the positions of the first face key points; the device inputs the second target image into the first model set to calculate a second confidence value, the second confidence value corresponds to accuracy key point positioning, and outputs the first key points if the second confidence value meets a second threshold.

Abstract: A method of estimating a front obstacle detection distance includes detecting an obstacle from a front image of a vehicle, extracting coordinates of a lower end portion of a detection box of the detected obstacle, calculating a projected line on real world coordinates based on the extracted coordinates of the lower end portion, searching for a point or a line through which the projected line passes on a detailed map, and calculating a distance to the point or the line through which the projected line passes on the detailed map from a position of the vehicle.

Abstract: Techniques for generating and utilizing machine learning based adaptive instructions for annotation are described. An annotation service can use models to identify edge case data elements predicted to elicit differing annotations from annotators, “bad” data elements predicted to be difficult to annotate, and/or “good” data elements predicted to elicit matching or otherwise high-quality annotations from annotators. These sets of data elements can be automatically incorporated into annotation job instructions provided to annotators, resulting in improved overall annotation results via having efficiently and effectively “trained” the annotators how to perform the annotation task.

Abstract: A high-frequency module (1) includes a first substrate (101), a second substrate (102) that faces the first substrate (101), a support (103) that supports the first substrate (101) and the second substrate (102), and a plurality of high-frequency circuit components arranged in internal space formed by the first substrate (101), the second substrate (102), and the support and on both of facing principal faces of the first substrate (101) and the second substrate (102), and the plurality of high-frequency circuit components include a power amplifier element that constitutes a power amplifier circuit (16).

Abstract: A communication unit includes the following elements. A first transmit circuit outputs a first signal or a second signal from a first input signal. A first amplifier amplifies the first signal and outputs a first amplified signal. A first signal generating circuit generates a third signal having a frequency higher than a frequency of the second signal, based on the second signal and a first reference signal. A first filter circuit receives the third signal and allows one of a frequency component representing a sum of the frequency of the second signal and a frequency of the first reference signal and a frequency component representing a difference therebetween to pass through the first filter circuit and attenuates the other one of the frequency components. A second amplifier amplifies the third signal output from the first filter circuit and outputs a second amplified signal.

Abstract: A near-field device, including: a near-field receiver coupled to a near-field receiver antenna and a decoder circuit; wherein the near-field receiver antenna is configured to be capacitively coupled at a first location on a conductive structure; wherein the near-field receiver antenna is configured to receive a near-field signal from the conductive structure through the receiver's capacitive coupling; and wherein the decoder circuit is configured to detect variations in the near-field signal.

Abstract: Certain embodiments of the disclosure relate to an apparatus and a method for translating a text included in an image by using an external electronic device in an electronic device. One method comprises displaying a picture comprising an object bearing text at a location within the picture on a display, extracting the text, generating another text from the extracted text, and automatically overlaying the another text on the object in another picture comprising the object at another location within the another picture on the display.

Abstract: An aerial monitoring system and method for identification and location of object features is disclosed. The aerial monitoring system and method includes training an image processing engine to identify predefined object features in images. Training involves the image processing engine generating a model for identifying predefined object features in images. Identifying the predefined object features includes using a drone outfitted with a drone camera to capture and geotag monitoring images of target objects. The monitoring images are both infrared and non-infrared. The image processing engine applies the model to the monitoring images to determine whether the monitoring images include object features that fit within one of multiple categories. The image processing engine uses a fuzzy clustering process to group objects into cluster locations. The image processing system outputs the identification and location of the object features. The output is used for maintenance planning related to the objects.

Abstract: An information processing apparatus is provided that detects a moving object from an image, and detects a human body from a target region that is an upper part of a region corresponding to the moving object, using a feature of an upper body of a human body, to thereby reduce processing load.