Abstract: A multi-view clustering method and system based on matrix decomposition and multi-partition alignment are provided.

Abstract: In a solid-state image sensor that compares an amount of change in light amount and a threshold, time required to adjust the threshold is shortened. The solid-state image sensor includes a voltage comparison unit and a count unit. In the solid-state image sensor, the voltage comparison unit compares an analog signal according to an amount of change in incident light with a predetermined voltage indicating a boundary of a predetermined voltage range, and outputs a comparison result as a voltage comparison result. Furthermore, in the solid-state image sensor, the count unit counts a count value every time the voltage comparison result indicating that the analog signal falls outside the voltage range is output.

Abstract: A citation network graph representation learning system and method based on multi-view contrastive learning is provided. The citation network graph representation learning system involved in the present application comprises: a sample construction module, which is configured to construct a corresponding negative sample based on an original graph; a graph enhancement module, which is configured to obtain a positive sample graph and a negative sample graph; a fusion module, which is configured to obtain a consensus representation of the positive sample graph and the negative sample graph by means of a cross view concentration fusion layer; a mutual information estimation module, which is configured to compare learning representations of positive sample pairs and negative sample pairs by means of a discriminator; and a hard sample mining module, which is configured to represent the consistency between the negative sample pairs according to a pre-calculated affinity vector, and select and reserve nodes.

Abstract: A late fusion multi-view clustering method and system based on local maximum alignment are provided. The late fusion multi-view clustering method based on local maximum alignment includes the following steps: S1: acquiring a clustering task and a target data sample; S2: initializing a permutation matrix of each view and a combination coefficient of each view, and performing average partition of kernel k-means clustering on an average kernel to obtain a neighbor matrix of each view; S3: calculating basic partition of each view, and establishing a late fusion multi-view clustering objective function based on maximum alignment; S4: acquiring basic partition having local information, and establishing a late fusion multi-view clustering objective function based on local maximum alignment; S5: solving the established late fusion multi-view clustering objective function based on local maximum alignment in a cyclic manner to obtain optimal partition; and S6: performing k-means clustering on the optimal partition.

Abstract: Provided is a solid-state image sensor which includes a photoelectric conversion element, a charge accumulation unit, a transfer transistor, a detection unit, and a connection transistor. The photoelectric conversion element generates a charge by photoelectric conversion. The charge accumulation unit accumulates the charge and generates a voltage according to an amount of the charge. The transfer transistor transfers the charge from the photoelectric conversion element to the charge accumulation unit. The detection unit detects whether or not a change amount of a photocurrent according to the amount of the charge exceeds a predetermined threshold. The connection transistor connects the charge accumulation unit and the detection unit to cause the photocurrent to flow.

Abstract: An image collection chip, an object imaging recognition device and an object imaging recognition method are provided. The image collection chip comprises an optical modulation layer and an image sensing layer. The optical modulation layer is located on the image sensing layer. The optical modulation layer is provided with at least two modulation units and the image sensing layer is provided with sensing units corresponding to the at least two modulation units in a form of up and down. Each of the at least two modulation units is provided with at least one modulation subunit. Two or more modulation units among the at least two modulation units have different graphic structures, and the two or more modulation units having different graphic structures have different modulation roles on spectrum.

Abstract: A spectral chip structure design method includes: obtaining an application-specific spectral library, and determining a spectral principal component based on the application-specific spectral library; performing non-negative processing on the spectral principal component to obtain a non-negative spectral principal component; and determining transmission spectra of the spectral chip structure based on the non-negative spectral principal component.

Abstract: A method for selecting a content forwarding node in a vehicle ad-hoc network on the basis of service type, comprising the following steps: calculating a bandwidth occupation proportion factor according to the type of requested content information and a bandwidth occupation situation of a neighboring vehicle which can perform forwarding in a one-hop transmission range; defining a virtual arrival time of a candidate forwarding vehicle to an initial request vehicle according to the distance between the neighboring vehicle and the initial request vehicle and a driving speed of the neighboring vehicle; calculating a forwarding node impact factor according to the bandwidth occupation proportion factor and the virtual arrival time; and selecting a forwarding node according to the forwarding node impact factor.

Abstract: Device discovery methods, a first device, and a non-transitory computer-readable storage medium are provided. The method is performed by the first device and includes: interacting with a second device by means of n management frames, at least one of the n management frames including a customized field, and n being a positive integer; and acquiring device information of the second device based on a customized field in a first management frame. The first management frame is a management frame transmitted by the second device to the first device among the at least one of the n management frames.

Abstract: To further capture an image in a solid-state image sensor that detects an address event. The solid-state image sensor includes a photoelectric conversion element, a charge accumulation unit, a transfer transistor, a detection unit, and a connection transistor. The photoelectric conversion element generates a charge by photoelectric conversion. The charge accumulation unit accumulates the charge and generates a voltage according to an amount of the charge. The transfer transistor transfers the charge from the photoelectric conversion element to the charge accumulation unit. The detection unit detects whether or not a change amount of a photocurrent according to the amount of the charge exceeds a predetermined threshold. The connection transistor connects the charge accumulation unit and the detection unit to cause the photocurrent to flow.

Abstract: A device network configuration method and a first device are provided. The method is performed by the first device. The first device interacts with a second device through n management frames, at least one of the n management frames includes a vendor specific field, and the n is a positive integer. The method includes: broadcasting a first management frame without disconnecting a current communication connection, a vendor specific field of the first management frame carrying networking information of a first network, the networking information of the first network being configured to configure the second device to access the first network.

Abstract: A light-receiving apparatus (1a) includes a counting unit (11), a setting unit (12), and an acquiring unit (13). The counting unit is configured to measure a detection number of times that represents the number of times incidence of a photon to a light-receiving element has been detected within an exposure period and to output a counted value. The setting unit is configured to set a cycle of updating time information in accordance with an elapsed time during the exposure period. The acquiring unit is configured to acquire the time information indicating a time at which the counted value reaches a threshold before the exposure period elapses.

Abstract: A noninvasive glucometer and a blood glucose detection method are provided. The noninvasive glucometer includes a light source, a spectrometer and detecting space into which an object to be detected intervenes; the detecting space is connected with the light source and the spectrometer respectively, so that a spectrum emitted by the light source can generate incident light entering the spectrometer after passing through the object to be detected. The spectrometer includes: an optical modulation layer configured to perform light modulation on the incident light to obtain a modulated spectrum; a photoelectric detection layer located below the optical modulation layer, and configured to receive the modulated spectrum and provide differential responses with respect to the modulated spectrum; and a signal processing circuit layer located below the photoelectric detection layer and configured to reconstruct the differential responses to obtain an original spectrum.

Abstract: A light-receiving apparatus (1a) includes a counting unit (11), a setting unit (12), and an acquiring unit (13). The counting unit is configured to measure a detection number of times that represents the number of times incidence of a photon to a light-receiving element has been detected within an exposure period and to output a counted value. The setting unit is configured to set a cycle of updating time information in accordance with an elapsed time during the exposure period. The acquiring unit is configured to acquire the time information indicating a time at which the counted value reaches a threshold before the exposure period elapses.

Abstract: To suppress voltage variations due to transistor switching noise in a solid-state image sensor including a transistor that initializes a differentiating circuit. A capacitance supplies a charge corresponding to an amount of variation in a predetermined pixel voltage to a predetermined input terminal. A voltage output unit outputs, as an output voltage, a voltage corresponding to an input voltage at the input terminal from a predetermined output terminal. A reset transistor supplies one of a positive charge or a negative charge during a predetermined period to control the output voltage to an initial value in a case where initialization is instructed. A charge supply unit supplies the other of the positive charge or the negative charge when the predetermined period elapses.

Abstract: A method for selecting a content forwarding node in a vehicle ad-hoc network on the basis of service type, comprising the following steps: calculating a bandwidth occupation proportion factor according to the type of requested content information and a bandwidth occupation situation of a neighboring vehicle which can perform forwarding in a one-hop transmission range; defining a virtual arrival time of a candidate forwarding vehicle to an initial request vehicle according to the distance between the neighboring vehicle and the initial request vehicle and a driving speed of the neighboring vehicle; calculating a forwarding node impact factor according to the bandwidth occupation proportion factor and the virtual arrival time; and selecting a forwarding node according to the forwarding node impact factor.

Abstract: To further capture an image in a solid-state image sensor that detects an address event. The solid-state image sensor includes a photoelectric conversion element, a charge accumulation unit, a transfer transistor, a detection unit, and a connection transistor. The photoelectric conversion element generates a charge by photoelectric conversion. The charge accumulation unit accumulates the charge and generates a voltage according to an amount of the charge. The transfer transistor transfers the charge from the photoelectric conversion element to the charge accumulation unit. The detection unit detects whether or not a change amount of a photocurrent according to the amount of the charge exceeds a predetermined threshold. The connection transistor connects the charge accumulation unit and the detection unit to cause the photocurrent to flow.

Abstract: A solid-state imaging device that detects the presence or absence of an address event further captures an image. The solid-state imaging device includes a detection pixel and a counting pixel. In the solid-state imaging device, the detection pixel detects whether or not a predetermined address event has occurred, depending on whether or not the amount of change in the amount of incident light exceeds a predetermined threshold. Further, in the solid-state imaging device, in a case where an address event has occurred, the counting pixel counts the number of photons entering during a predetermined exposure period and outputs a pixel signal indicating the count value.

Abstract: To reduce power consumption in a solid-state image sensor that detects weak light. The solid-state image sensor includes a photodiode, a resistor, a measuring unit, and a control unit. The photodiode photoelectrically converts incident light and outputs a photocurrent. The resistor drops a potential of one end of the photodiode to a value lower than a power supply potential every time a photocurrent is output. The measuring unit measures illuminance of the incident light on the basis of a frequency of dropping of the potential of one end. The control unit controls the power supply potential to a lower value as the measured illuminance is higher.

Abstract: In a solid-state image sensor that detects presence or absence of an address event, erroneous detection of the address event is suppressed. Each of a plurality of pixels executes detection processing for detecting whether or not a change amount of an incident light amount exceeds a predetermined threshold, and outputting a detection result. An abnormal pixel determination unit determines whether or not each of the plurality of pixels has an abnormality, and enables a pixel without an abnormality and disables a pixel with an abnormality. A control unit performs control for causing the enabled pixel to execute detection processing and control for fixing the detection result of the disabled pixel to a specific value.