Abstract: A detection device, including a light emitting device, a light detection element, at least one reflective optical film element, and a control unit, is provided. The light emitting device is configured to provide an excitation beam. A part of the excitation beam whose main emission wavelength falls within an excitation wavelength range generates a fluorescence beam after irradiating onto the test specimen. The light detection element is configured to receive a part of the fluorescence beam whose main emission wavelength falls within a detection wavelength range. The control unit is coupled to at least one reflective optical film element and controls at least one reflective optical film element to filter out a part of a wavelength range of an incident beam. The incident beam is at least one of the excitation beam and the fluorescence beam. A detection method applicable to the detection device is also provided.

Abstract: A training data increment method, an electronic apparatus and a computer-readable medium are provided. The training data increment method is adapted for the electronic apparatus and includes the following steps. A training data set is obtained, wherein the training data set includes a first image and a second image. An incremental image is generated based on the first image and the second image. A deep learning model is trained based on the incremental image.

Abstract: A channel structure for signal transmission is provided. The channel structure includes a first common pad, disposed on a first layer; a second common pad, disposed on a second layer; a via, for electrically connecting the first common pad and the second common pad; a first device path pad, disposed on the second layer and located in a first direction of the second common pad; and a second device path pad disposed on the second layer and located in a second direction of the second common pad. The channel structure includes a first electrical element electrically coupled between the second common pad and the first device path pad, or includes a second electrical element electrically coupled between the second common pad and the second device path pad.

Abstract: A method for recognizing physiological symptom and a physiological symptom sensing system are provided. After the sound signal is obtained, multiple signal segments are captured from the sound signal. Afterwards, a sound type corresponding to each signal segment is recognized. Moreover, a physiological state of a living body is determined based on a plurality of the sound type of the signal segments and combinations of a plurality of the sound types.

Abstract: A live facial recognition method includes projecting a given pattern to a subject under recognition; capturing a reflected pattern of the subject under recognition; and detecting whether the subject under recognition is a flat surface according to the reflected pattern. The subject under recognition is determined to be a living subject when the subject under recognition is not a flat surface.

Abstract: A dehydration amount prediction method for hemodialysis and an electronic device using the same are provided, and the method includes the following steps. Physiological data and hemodialysis treatment data of a first patient are obtained. The first patient is determined to belong to one of groups, wherein the groups are respectively associated with a plurality of prediction models. A target prediction model corresponding to the one of the groups is selected from the prediction models. The physiological data and the hemodialysis treatment data are provided to the target prediction model to generate a recommended dehydration amount by the target prediction model.

Abstract: An antenna module includes a first antenna including a first radiator, a second radiator, a third radiator, a fourth radiator, and a fifth radiator. The first radiator has a first end and a second end opposite to each other. The first end is a first feeding end, and the second radiator, the third radiator and the fourth radiator are connected to the second end of the first radiator. The second radiator has a plurality of bending portions. The fifth radiator is connected to the second radiator, and the fifth radiator has a first ground terminal. The first radiator, the second radiator and the fifth radiator resonate in a first frequency band, the first radiator and the third radiator resonate in a second frequency band, and the first radiator and the fourth radiator resonate in a third frequency band.

Abstract: An automatic testing system includes a platform; a carrier fixed on a surface of the platform for carrying a device under test (DUT); a function test module for testing functions of the DUT; and a shifting module for shifting the function test module.

Abstract: A method and a system for vision-based defect detection are proposed. The method includes the following steps. A test audio signal is outputted to a device-under-test (DUT), and a response signal of the DUT with respect to the test audio signal is received to generate a received audio signal. Signal processing is performed on the received audio signal to generate a spectrogram, and whether the DUT has an unacceptable defect with respect to the predefined auditory standard is determined through computer vision according to the spectrogram.

Abstract: The embodiments of the disclosure provide a method for selecting a task network, a system and a method for determining actions based on sensing data. The method of the embodiments of the disclosure includes: mapping the sensing data into an input feature vector; feeding the input feature vector into a specific task network to generate an output feature vector via the specific task network, in which the specific task network is trained based on a plurality of first individuals and a plurality of second individuals, the first individuals belong to a first population, the second individuals belong to a second population, and the first individuals and the second individuals are evolved via a coevolution process; and determining an output action according to the output feature vector, and setting a second specific individual based on the output action, in which the second specific individual belongs to the second population.

Abstract: A detection device includes a light emitting element, an accommodation frame, a light detector, and a movable light splitter. The light emitting element provides an excitation beam. The accommodation frame accommodates an object under test, and a portion of the excitation beam whose dominant light emitting wavelength falls within a first waveband range forms a fluorescent beam after passing through the object under test. The light detector receives a portion of the fluorescent beam whose dominant light emitting wavelength falls within a second waveband range. The movable light splitter forms a plurality of sub-beams from an incident beam. The sub-beams have respectively different dominant light emitting wavelengths and exits at different emitting angles. The incident beam is at least one of the excitation beam and the fluorescent beam.

Abstract: A mobile device, a system and a method for task management based on voice intercom function are provided. A mobile device receives a voice message associated with at least one task. Semantic information of the voice message is analyzed to determine at least one message receiver of the voice message and generate a task message. Another mobile device corresponding to one of the at least one message receiver receives the task message. Task management information associated with the at least one task is updated according to the semantic information of the voice message.

Abstract: A speaker includes a casing, a speaker unit, and a sound guiding assembly. The casing has an opening end and has at least one first connecting portion at the opening end. The speaker unit is disposed in the casing. The sound guiding assembly has at least one second connecting portion. The second connecting portion structurally interferes with the first connecting portion, such that the sound guiding assembly is detachably assembled to the opening end of the casing.

Abstract: An elevator assembly includes a first bracket, a second bracket, a first connecting rod and a second connecting rod. The second bracket is slidably disposed on the first bracket. The first connecting rod has a first pivot end and a first sliding end. The first pivot end is pivoted to the first bracket and provided with a first gear portion, and the first sliding end is slidably disposed on the first bracket and connected to the second bracket. The second connecting rod has a second pivot end and a second sliding end. The second pivot end is pivoted to the first bracket and provided with a second gear portion, the second sliding end is slidably disposed on the second bracket and connected to the second bracket, and the first gear portion and the second gear portion are engaged with each other.

Abstract: A liquid crystal display panel is provided. The liquid crystal display panel includes a liquid crystal display panel, a backlight module and a control circuit. The control circuit is coupled to the liquid crystal display panel and the backlight module. The control circuit is configured to control the liquid crystal display panel to display a corresponding image according to image data, and control the backlight module to provide backlight to the liquid crystal display panel. The control circuit determines a turn-on time point of each of a plurality of zones of the backlight module according to a response time of the liquid crystal display panel and a writing period of at least one target display area of the liquid crystal display panel. The control circuit further determines the turn-on time length of each zone according to the image data corresponding to the grayscale data of each zone.

Abstract: A live facial recognition method includes capturing a zoom-out image of a face of a subject under recognition; and detecting a frame outside the face of the subject under recognition on the zoom-out image. The subject under recognition is determined to be a living subject when the zoom-out image includes no frame outside the face.

Abstract: An elevator assembly includes a first bracket, a second bracket, a first connecting rod and a second connecting rod. The second bracket is slidably disposed on the first bracket. The first connecting rod has a first pivot end and a first sliding end. The first pivot end is pivoted to the first bracket and provided with a first gear portion, and the first sliding end is slidably disposed on the first bracket and connected to the second bracket. The second connecting rod has a second pivot end and a second sliding end. The second pivot end is pivoted to the first bracket and provided with a second gear portion, the second sliding end is slidably disposed on the second bracket and connected to the second bracket, and the first gear portion and the second gear portion are engaged with each other.

Abstract: A face recognition method and apparatus are provided. The method is applicable to an electronic device including a sound receiving device and an image capturing device, and includes the following steps: detecting a direction of a sound source by using the sound receiving device, to capture an image in the direction by using the image capturing device; detecting and tracking a face in the image, to assign an image identification to the face according to a tracking result; determining whether the image identification exists in multiple cluster identifications recognized in a data set of face recognition; and in response to the image identification not existing in the data set, acquiring a feature value of the face and comparing the feature value of the face with a feature value of a face of each cluster identification to update a cluster identification to which the face belongs according to a comparison result.

Abstract: A dual-torque hinge mechanism includes a rotary shaft, a second bridging component, a resistance assembly, a torque generating component and a driving assembly. The second bridging component is rotatably disposed on the rotary shaft. The resistance assembly is disposed on the rotary shaft and coupled to second bridging component. The torque generating component is coupled to the rotary shaft. The driving assembly is disposed between the resistance assembly and the torque generating component.

Abstract: A distance detection method, a distance detection system and a computer program product are provided. The method includes: comparing a street view image with a real-time image according to a first distance; determining a distance between a vehicle and a target position in response to the comparison result of the street view image and the real-time image; and outputting the distance between the vehicle and the target position to prompt a user of the vehicle.