Abstract: An embodiment for detecting the danger of an object in close proximity of a subject is provided. The embodiment may include receiving real-time data from one or more IoT devices in a surrounding environment. The embodiment may also include detecting and classifying one or more subjects and one or more objects in an image from the one or more IoT devices. The embodiment may further include identifying one or more risk factors associated with each object. The embodiment may also include correlating the one or more risk factors associated with each object with the one or more subjects in the image. The embodiment may further include identifying relative positions of the one or more subjects and the one or more objects in the image. The embodiment may also include in response to determining a current position of at least one subject is dangerous, notifying a user of the danger.

Abstract: The present invention relates biometric authentication using an optical biometric arrangement comprising an image sensor comprising a photodetector pixel array configured to capture an image of an object, the image sensor being arranged under a controllable light source comprising light source units, the method comprising: providing a light pattern comprising portions of different light intensity for illuminating the object; acquiring an image of the object, the image comprising image portions corresponding to the portions of different light intensity of the light pattern illuminating the object, at least one image portion being captured by pixels in he photodetector pixel array arranged directly under a light source unit being active during image acquisition, and at least one image portion being captured by pixels in the photodetector pixel array arranged under an at least partly in-active illumination area of the controllable light source during image acquisition, performing biometric authentication at leas

Abstract: An embodiment for generating and modifying graphical user interface elements based on user item interests. The embodiment may detect a user interacting with a connected application. The embodiment may determine item interests of the detected user. The embodiment may generate and store a personalized user profile based on the determined item interests of the user. The embodiment may, in response to detecting a query made by the user, extract from the detected query interest topics, subject matter, and a series of associated key terms. The embodiment may determine a highest-prioritized key term. The embodiment may identify a first GUI element displayed by the connected application based on the detected query. The embodiment may generate, using a generative adversarial network (GAN), a custom GUI element based on the highest-prioritized key term. The embodiment may replace the first GUI element with the custom GUI element.

Abstract: A biometric imaging arrangement comprises an image sensor comprising a photodetector pixel array for capturing an image of an object. An infrared cut-off filter is arranged to at least partly cover the photodetector pixel array. The infrared cut-off filter comprises a first filter area having a first transmission wavelength band including wavelengths in the visible range of wavelengths, and at least two additional filter areas having transmission wavelength bands including wavelengths in the visible range of wavelengths. The transmission wavelength bands of the additional filter areas being different from the first transmission wavelength band, wherein at least two of the additional filter areas are spatially separated by the first filter area.

Abstract: Techniques for machine learning analysis are provided. A machine learning (ML) model is trained to identify appropriate documents based on lexical knowledge of target groups. A lexical knowledge of a set of users is determined. Additionally, a first document of a plurality of documents is selected by processing the determined level of lexical knowledge using the ML model. The first document is presented to the set of users. A level of engagement of the set of users is then determined. Upon determining that the level of engagement is below a predefined threshold, a second document of the plurality of documents is selected using the ML model.

Abstract: Disclosed are an intelligent bionic human body part model detection device and a method for manufacturing same. The device comprises: a bionic human body part model (1); and multiple optical fiber grating sensing units (5) which are integrated on an optical fibre and arranged at multiple pre-determined positions of the bionic human body part model (1). The device can improve the accuracy of the detection of pressure applied to the intelligent bionic human body part model.

Abstract: A connection request is received for an account, the account associated with a set of devices, the connection request comprising a request to establish communication between a sending device and a device associated with the account. By analyzing device usage data for a first device in the set of devices, an availability score of the first device is determined. The first device is presented for connection based on the availability score of the first device. Responsive to the presenting, the sending device and the first device are connected.

Abstract: A catalyst contains a metal oxide, and a molecular sieve, in a crystal form, having a topological pore structure. The metal oxide is centrally distributed on the surface of the molecular sieve. Grains of the molecular sieve are exposed to at least three families of crystal planes. The family of crystal plane with the largest pore size in topology is occupied by the metal oxide by no more than 30%, preferably no more than 20%, or no more than 10%.

Abstract: An audio file format of an audio portion of a natural language content is determined. Using a trained audio language identification model, a human language included in the audio portion is identified. Using a trained audio to text model trained on the human language, the audio portion is converted to a corresponding set of text data. The set of text data is indexed. Using the indexed set of text data responsive to a search query, a search result is generated, the search query specifying a search including a non-textual portion of the natural language content.

Abstract: An integrated catalyst can be used in an olefin disproportionation reaction. The integrated catalyst contains a plurality of different integrated active phases. The relative positions among different active phases remain substantially unchanged during the olefin disproportionation reaction. The effective distance between respective bisecting planes of two adjacent different active phases is 0.5-5 mm, preferably 1-3 mm.

Abstract: Systems and methods for smoke detection using object detection devices are provided. The object detection device may include a first imaging component and a moveable component configured to move the first imaging component. The system may obtain a current image of a first subject acquired by the first imaging component at a current time. The system may determine whether the first subject and a second subject among one or more second subjects belong to a same object. In response to determining that the first subject and the one of the one or more second subjects belong to the same object, the system may cause the moveable component to move the first imaging component.

Abstract: A method for playing music includes identifying a plurality of users of a corresponding plurality of electronic devices that are currently located within a selected area, retrieving music listening data for the plurality of users, building a playlist for the selected area based on the music listening data, filtering the playlist according to at least one host preference to produce a filtered playlist, and playing the filtered playlist within the selected area. The selected area may be a geo-fenced area. Examples of host preferences include genre, artist, tempo, mood and demographic. The playlist may include songs that are commonly selected by the plurality of users or conform to genres commonly preferred by the plurality of users. A corresponding system and computer program product for executing the above method are also disclosed herein.

Abstract: An embodiment includes receiving a request to delete a specified document from a primary shard of a sharded database. The embodiment also includes inserting a soft-deletion document to a soft-deletion shard, wherein the soft-deletion document identifies the specified document, which remains in the primary shard. The embodiment also includes receiving a query from a client application, wherein the specified document satisfies the query. The embodiment also includes blocking the specified document from being returned in response to the query while the soft-deletion document associated with the specified document remains in the soft-deletion shard.

Abstract: A method, a computer program product, and a computer system render a plurality of applications and tabs thereof on a plurality of displays. The method includes determining the applications and the tabs thereof that are open across the displays and keywords associated with the tabs. The method includes generating a data structure corresponding to a current view across the displays comprising information associated with the displays, the applications, the tabs, and summarized contents based on the keywords. The method includes monitoring a user operation context provided by a user indicative of requested information in a selected tab among the tabs. The method includes updating the data structure with the user operation context indicative of the selected tab, a corresponding application, and a corresponding display. The method includes rendering an updated view across the displays in which the selected tab is positioned to be viewed by the user.

Abstract: Predicting power usage of a chip may include receiving placement data describing a placement, within the chip, of a plurality of logical components of the chip; providing the placement data as an input to a neural network; and determining, by the neural network, based on the placement data, a predicted power usage of the chip.

Abstract: The present disclosure may provide a temperature determination system. The temperature determination system may obtain a visible image including at least one subject and a thermal image from an image capture device. For each of the at least one subject, the temperature determination system may determine first location information associated with a face of the subject in the visible image and determine a distance between the subject and the image capture device based on the visible image. The temperature determination system may also determine second location information associated with the face in the thermal image based on the first location information associated with the face. The temperature determination system may determine a temperature of the subject based on the second location information associated with the face and the distance between the subject and the image capture device.

Abstract: An embodiment includes generating first and second preliminary schedules for respective first and second workers assigned respective first and second tasks, detects a block of time that is part of both the first and second preliminary schedules, and generates respective first and second location predictions for the first and second workers during the block of time. The embodiment calculates a distance between the first and second workers based on the first and second location predictions, and revises, responsive to determining that the distance is less than a threshold value, the second preliminary schedule to replace the first block of time with a second block of time that is not part of the first preliminary schedule. The embodiment generates an access control list that includes the first preliminary schedule as a first access schedule for the first worker for use in responding to access queries.

Abstract: Sharing data by defining a data encoding table, maintaining a data record database, defining a data encryption code, providing the data encryption code with an outgoing call, receiving an audio response including encrypted data, decrypting the encrypted data, and updating the data record database according to the data.

Abstract: An event at a location is identified. An event risk of the event can be calculated based on risk characteristics of both the location of the event (“location risk characteristics”) and the event itself (“personnel risk characteristics”). Location risk characteristics can include a visitor history of the location. Personnel risk characteristics can be based on attendees of the event, such as a number of attendees. The overall event risk, once calculated, can be compared to a threshold. Depending on the comparison, a risk mitigation policy can be implemented.

Abstract: Computer-implemented methods, computer program products, and computer systems for detecting and preventing exploitative calls. The computer-implemented methods include one or more processors configured for receiving voice call data corresponding to an active voice call with a user device, wherein the voice call data comprises caller voice data and user voice data; determining that the caller voice data includes a solicitation of information from a user associated with the user device; retrieving user profile data comprising user health data associated with the user; determining user call stress levels based on the voice call data and the user profile data; and responsive to determining that the user call stress levels exceed a predetermined threshold and that the solicitation of information includes a material information request, generating an alert.