Abstract: The disclosure relates to an artificial intelligence (AI) system using a machine learning algorithm such as deep learning, and an application thereof. In particular, an electronic apparatus, a document displaying method thereof, and a non-transitory computer readable recording medium are provided. An electronic apparatus according to an embodiment of the disclosure includes a display unit displaying a document, a microphone receiving a user voice, and a processor configured to acquire at least one topic from contents included in a plurality of pages constituting the document, recognize a voice input through the microphone, match the recognized voice with one of the acquired at least one topic, and control the display unit to display a page including the matched topic.

Abstract: Chain tension monitoring device (40) is configured for monitoring a chain tension force (FC) of a drive chain (27) extending in a longitudinal direction forming closed loop between two sprockets (26, 28). The chain tension monitoring device (40) comprises a sensor device (41) configured for mechanically contacting the drive chain (27), detecting movement of the drive chain (27) transversely, in particular orthogonally, to the longitudinal direction of the drive chain (27), and providing a detection signal indicating the detected movement of the drive chain (27); and an evaluator (50) configured for receiving the detection signal provided by the sensor device (41) and determining a chain tension force (FC) of the drive chain (27) from said detection signal.

Abstract: An electronic apparatus and an operating method are provided. The electronic apparatus includes a storage, at least one sensor, and at least one processor configured to execute stored instructions to while the electronic apparatus is moving, capture a surrounding image by using the at least one sensor, when an unable-to-move situation occurs while the electronic apparatus is moving, generate context data including a surrounding image captured within a predetermined time from a time when the unable-to-move situation has occurred, store, in the storage, the generated context data corresponding to the unable-to-move situation having occurred, and learn the stored context data by using one or more data recognition models.

Abstract: An electronic device, a warning message providing method therefor, and a non-transitory computer-readable recording medium are provided. Disclosed is an artificial intelligence (AI) system using a machine learning algorithm such as deep learning and an application thereof.

Abstract: A people conveyor (1) comprises a truss (2) extending between two landing portions (20, 21); a band (12) of conveyance elements (13) forming a closed loop extending in a conveyance direction between the two landing portions (20, 21); a drive machine (25) configured for driving the band (12) of conveyance elements (13); and at least two magneto-inductive sensors (36a, 36b, 36c) mounted to the truss (2). The at least two magneto-inductive sensors (36a, 36b, 36c) are configured for providing sensor signals which allow determining the position and orientation of the drive machine (25) with respect to the truss (2).

Abstract: The disclosure relates to an artificial intelligence (AI) system using a machine learning algorithm such as deep learning, and an application thereof. In particular, an electronic apparatus, a document displaying method thereof, and a non-transitory computer readable recording medium are provided. An electronic apparatus according to an embodiment of the disclosure includes a display unit displaying a document, a microphone receiving a user voice, and a processor configured to acquire at least one topic from contents included in a plurality of pages constituting the document, recognize a voice input through the microphone, match the recognized voice with one of the acquired at least one topic, and control the display unit to display a page including the matched topic.

Abstract: Disclosed are an artificial intelligence (AI) system using a machine learning algorithm such as deep learning, and an application thereof. The present disclosure provides an electronic device comprising: an input unit for receiving content data; a memory for storing information on the content data; an audio output unit for outputting the content data; and a processor, which acquires a plurality of data keywords by analyzing the inputted content data, matches and stores time stamps, of the content data, respectively corresponding to the plurality of acquired keywords, based on a user command being inputted, searches for a data keyword corresponding to the inputted user command among the stored data keywords, and plays the content data based on the time stamp corresponding to the searched data keyword.

Abstract: A people conveyor (1) comprises a band (12) of conveyance elements (13) connected to and driven by at least one drive chain (15, 27) comprising a plurality of chain links (34, 36). The people conveyor (1) further comprises at least one inductive sensor (40, 41) arranged laterally next to the at least one drive chain (15, 27) and configured for monitoring the chain links (34, 36) passing by the at least one inductive sensor (40, 41).

Abstract: A people conveyor (10) comprises a conveying band (12) including a plurality of conveying elements (13); a truss (8) supporting the conveying band (12); a motor (24), which is mounted to the truss (8) and which is configured for driving the conveying band (12); and a force sensor (26). The force sensor (26) is arranged between the motor (24) and the truss (8) and is configured for measuring a force which is exerted by the motor (24) on the truss (8).

Abstract: Provided is an Artificial Intelligence (AI) system for simulating a human brain's functions, such as recognition, decision, etc., by using a machine learning algorithm such as deep learning, etc. and applications of the AI system. Provided is an electronic device including: a camera configured to capture an outside image of a vehicle, and a processor configured to execute one or more instructions stored in a memory, wherein the processor executes the one or more instructions to: determine, from the captured image, at least one object for estimating lane information; estimate, from the image, lane information of a road on which the vehicle is traveling, based on a distance between the determined at least one object and the vehicle and a vanishing point of the image; and output guide information for guiding driving of the vehicle based on the estimated lane information.

Abstract: A people conveyor (2), which is configured for conveying passengers by at least one conveyance band (8) travelling along a closed loop, comprises at least one handrail element (6) which is configured for moving parallel to the at least one conveyance band (8) along a travel path forming a closed loop; and at least one force sensor (18a, 18b), which is configured for detecting a force (FS1, FS2) exerted by the at least one handrail element (6) in a direction transverse to the direction of movement of the at least one handrail element (6) and for providing a corresponding force signal.

Abstract: A conveyor device includes a truss; a conveyance element, which is movable with respect to the truss in a longitudinal direction and which includes at least one groove extending along said longitudinal direction. The conveyor device further includes a comb plate having at least one tooth extending into the at least one groove. For minimizing the effects resulting from a comb crash, the conveyor device further includes at least one compensation device fixing the comb plate in the longitudinal direction during normal operation, but allowing the comb plate to move in the longitudinal direction in case of a comb crash.

Abstract: A passenger conveyor (1) comprises at least one transport chain (6) connected to a plurality of transportation elements (4) which are configured for travelling in a closed loop along a pathway; at least one sensor (24), which is arranged in a non-straight portion of the pathway and which is configured for detecting a varying force (F?) exerted by the transport chain (6) and/or by the transportation elements (4) in a direction oriented transversely, in particular orthogonally, to a travelling direction of the transportation elements (4); and a calculation and alarm unit (26).

Abstract: A people conveyor (10) comprises a conveying band (12) including a plurality of conveying elements (13); a truss (8) supporting the conveying band (12); a motor (24), which is mounted to the truss (8) and which is configured for driving the conveying band (12); and a force sensor (26). The force sensor (26) is arranged between the motor (24) and the truss (8) and is configured for measuring a force which is exerted by the motor (24) on the truss (8).

Abstract: A passenger conveyor (10) comprises a plurality of treads (16) interconnected to form an endless tread band (17), the passenger conveyor (10) comprising a chain and sprocket drive system including at least two drive sprockets (24a, 24b), each drive sprocket (24a, 24b) drivingly coupled to a respective drive chain (20a, 20b), each drive sprocket (24a, 24b) having a predetermined number of drive sprocket teeth (38a, 38b) positioned at a predetermined drive sprocket teeth pitch (?a, ?b) with respect to each other, wherein the drive sprockets (24a, 24b) are configured to rotate with the same angular velocity, but at a predetermined phase difference (?) with respect to each other.

Abstract: A system for braking an escalator or moving walkway includes a handrail and passenger support in registration with one another so as to move together. A braking tensioner selectively increases tension in the handrail during operation. The increased tension serves to frictionally brake the handrail and hence the passenger support. The braking tensioner may be located in any of various locations depending upon system design, and may be driven in any suitable manner, e.g., hydraulically, electrically, electromagnetically, and so on. Frictional wear on the handrail is reduced by the fact that the described braking system spreads the frictional load over a large area of the handrail, e.g., the many locations where the handrail contacts the underlying support throughout its length.

Abstract: A conveyor device (2) comprises a truss (4); a conveyance element (8), which is movable with respect to the truss (4) in a longitudinal direction and which comprises at least one groove (22) extending along said longitudinal direction. The conveyor device (2) further comprises a comb plate (16) having at least one tooth (18) extending into the at least one groove (22). For minimizing the effects resulting from a comb crash, the conveyor device (2) further comprises at least one compensation device (24, 26, 28a, 28b) fixing the comb plate (16) in the longitudinal direction during normal operation, but allowing the comb plate (16) to move in the longitudinal direction in case of a comb crash.

Abstract: A content processing apparatus and method is provided, in which content input by a user is processed by determining whether transmission of the content corresponds to an abnormal pattern when a relation between the user and the other party is taken into account, and for automatically adjusting a permissible level by learning whether the content is an abnormal pattern based on the user's response. The content processing apparatus can estimate whether the content corresponds to an abnormal pattern by using a rule-based algorithm or an artificial intelligence (AI) algorithm when determining whether the content corresponds to the abnormal pattern. When determining whether the content corresponds to the abnormal pattern is estimated using the AI algorithm, the content processing apparatus can use machine learning, a neural network algorithm, or a deep learning algorithm.

Abstract: Disclosed is a data recognition model construction apparatus. The data recognition model construction apparatus includes a video inputter configured to receive a video, an image composition unit configured to, based on a common area included in each of a plurality of images that form at least a portion of the video, generate a composition image by overlaying at least a portion of the plurality of images, a learning data inputter configured to receive the generated composition image, a model learning unit configured to make a data recognition model learn using the generated composition image, and a model storage configured to store the learnt data recognition model.

Abstract: A passenger conveyor (1) comprises at least one transport chain (6) connected to a plurality of transportation elements (4) which are configured for travelling in a closed loop along a pathway; at least one sensor (24), which is arranged in a non-straight portion of the pathway and which is configured for detecting a varying force (F?) exerted by the transport chain (6) and/or by the transportation elements (4) in a direction oriented transversely, in particular orthogonally, to a travelling direction of the transportation elements (4); and a calculation and alarm unit (26).