Abstract: Embodiments are disclosed for receiving a user input and an input video comprising multiple frames. The method may include extracting a text feature from the user input. The method may further include extracting a plurality of image features from the frames. The method may further include identifying one or more keyframes from the frames that include the object. The method may further include clustering one or more groups of the one or more keyframes. The method may further include generating a plurality of segmentation masks for each group. The method may further include determining a set of reference masks corresponding to the user input and the object. The method may further include generating a set of fusion masks by combining the plurality of segmentation masks and the set of reference masks. The method may further include propagating the set of fusion masks and outputting a final set of masks.

Abstract: The present invention provides a multi-wavelength spectral thermometry based on mobile narrow-band window and optimization and belongs to the field of thermal radiation temperature detection. A continuous spectrum of a thermal radiation object is collected by a spectrometer; the spectrum of the thermal radiation object is denoised, windowed and standardized; the whole detection wavelength range is traversed within an appropriate narrow-band window; through comparison with windowed and standardized black-body radiation spectra at different temperatures in a corresponding spectral window, the temperature and emissivity distribution of the thermal radiation object is calculated with high accuracy without depending on emissivity model estimation, and high universality and noise resistance are achieved.

Abstract: Disclosed in the present invention is a visual monitoring method for cross-section temperature fields and radiation characteristics of boiler furnaces by combining radiation images and spectra. Image detectors can be directly inserted into observation holes of a boiler to acquire flame image data, so that when the detection system is applied to a power station boiler, extra holes are not required to be drilled, and therefore, there is no risk that the strength of a furnace wall of the boiler is reduced by drilling holes. According to cross-section temperature fields of a furnace measured by the detection system, the state of combustion in the furnace can be accurately judged, which can play an accurate and effective guiding role in boiler combustion control, and reduce the temperature deviation in each combustion area of the boiler so as to keep the boiler running smoothly, thereby improving the combustion efficiency of the boiler.

Abstract: The present invention provides a multi-wavelength spectral thermometry based on mobile narrow-band window and optimization and belongs to the field of thermal radiation temperature detection. A continuous spectrum of a thermal radiation object is collected by a spectrometer; the spectrum of the thermal radiation object is denoised, windowed and standardized; the whole detection wavelength range is traversed within an appropriate narrow-band window; through comparison with windowed and standardized black-body radiation spectra at different temperatures in a corresponding spectral window, the temperature and emissivity distribution of the thermal radiation object is calculated with high accuracy without depending on emissivity model estimation, and high universality and noise resistance are achieved.

Abstract: Disclosed in the present invention is a visual monitoring method for cross-section temperature fields and radiation characteristics of boiler furnaces by combining radiation images and spectra. Image detectors can be directly inserted into observation holes of a boiler to acquire flame image data, so that when the detection system is applied to a power station boiler, extra holes are not required to be drilled, and therefore, there is no risk that the strength of a furnace wall of the boiler is reduced by drilling holes. According to cross-section temperature fields of a furnace measured by the detection system, the state of combustion in the furnace can be accurately judged, which can play an accurate and effective guiding role in boiler combustion control, and reduce the temperature deviation in each combustion area of the boiler so as to keep the boiler running smoothly, thereby improving the combustion efficiency of the boiler.

Abstract: Techniques for recommending hashtags, including trending hashtags, are disclosed. An example method includes accessing a graph. The graph includes video nodes representing videos, historical hashtag nodes representing historical hashtags, and edges indicating associations among the video nodes and the historical hashtag nodes. A trending hashtag is identified. An edge is added to the graph between a historical hashtag node representing a historical hashtag and a trending hashtag node representing the trending hashtag, based on a semantic similarity between the historical hashtag and the trending hashtag. A new video node representing a new video is added to the video nodes of the graph. A graph neural network (GNN) is applied to the graph, and the GNN predicts a new edge between the trending hashtag node and the new video node. The trending hashtag is recommended for the new video based on prediction of the new edge.

Abstract: Techniques for recommending hashtags, including trending hashtags, are disclosed. An example method includes accessing a graph. The graph includes video nodes representing videos, historical hashtag nodes representing historical hashtags, and edges indicating associations among the video nodes and the historical hashtag nodes. A trending hashtag is identified. An edge is added to the graph between a historical hashtag node representing a historical hashtag and a trending hashtag node representing the trending hashtag, based on a semantic similarity between the historical hashtag and the trending hashtag. A new video node representing a new video is added to the video nodes of the graph. A graph neural network (GNN) is applied to the graph, and the GNN predicts a new edge between the trending hashtag node and the new video node. The trending hashtag is recommended for the new video based on prediction of the new edge.

Abstract: The present disclosure relates to a method for enabling a terminal to access a base station. The method includes: broadcasting, by a first BS not supporting a shared carrier, a first priority list, wherein the first priority list comprises information indicating that a priority of a BS that does not support the shared carrier is higher than that of a BS that supports the shared carrier; receiving, by the first BS, a first access request from a terminal, receiving, by the first BS, capability information from the terminal in a process of establishing a connection with the terminal; and completing, by the first BS, the connection with the terminal to enable the terminal to access a non-shared network, in a case where the terminal does not support the frequency band of the sharing operator in the shared carrier.

Abstract: This disclosure relates to a control method for a sharing mode of a base station, a shared base station and a communication system. The method of the present disclosure includes: acquiring a load of a standalone carrier of a first operator and a load of a standalone carrier of a second operator within a first preset time; converting one standalone carrier of the standalone carrier of the first operator and the standalone carrier of the second operator to a shared carrier, in a case where a total of the loads of the standalone carrier of the first operator and the standalone carrier of the second operator within the first preset time is less than a first threshold; and switching off another standalone carrier not converted to the shared carrier of the standalone carrier of the first operator and the standalone carrier of the second operator.

Abstract: Embodiments are disclosed for generating temporally consistent manipulated videos. A method of generating temporally consistent manipulated videos comprises receiving a target appearance and an input digital video including a plurality of frames, generating a plurality of target appearance frames from the plurality of frames, training a video prediction network to generate a digital video wherein a subject of the digital video has its appearance modified to match the target appearance, providing the input digital video to the video prediction network, and generating, by the video prediction network, an output digital video wherein the subject of the output digital video has its appearance modified to match the target appearance.

Abstract: Disclosed a crop yield prediction method and system based on low-altitude remote sensing information from an unmanned aerial vehicle (UAV). Obtaining a plurality of images taken by the UAV; stitching the plurality of images to obtain a stitched image; performing spectral calibration on the stitched image to obtain the reflectivity of each pixel in the stitched image; using a threshold segmentation method to segment the stitched image, to obtain a target area for crop yield prediction; using a Pearson correlation analysis method to analyze a correlation between the reflectivity of each band and the growth status and yield of the crop to obtain feature bands; constructing yield prediction factors based on the feature bands; and determining a predicted crop yield value of the target area for crop yield prediction based on the yield prediction factors and a crop planting area of the target area for crop yield prediction.

Abstract: The invention relates to a method and device for predicting a volume median diameter (VMD) in an overlapped spray area of twin nozzles. Placing a single nozzle at different heights to determine a spray area; measuring all VMDs in the spray area to obtain first true measured values; dividing the first true measured values to construct a first calibration set and a first prediction set; establishing a polynomial fitting formula by a REGRESS function; placing twin nozzles at different heights and different nozzle spacing, and measuring VMDs in the overlapped spray area to obtain second true measured values; determining simulated values of the VMDs of first and second nozzles; dividing the simulated values of the VMDs and the second true measured values to construct a second calibration set and a second prediction set; quantitatively calibrating by using a radial basis function neural network (RBFNN) to obtain a prediction model; determining a VMD in the overlapped spray area of twin nozzles.

Abstract: Disclosed a crop yield prediction method and system based on low-altitude remote sensing information from an unmanned aerial vehicle (UAV). Obtaining a plurality of images taken by the UAV; stitching the plurality of images to obtain a stitched image; performing spectral calibration on the stitched image to obtain the reflectivity of each pixel in the stitched image; using a threshold segmentation method to segment the stitched image, to obtain a target area for crop yield prediction; using a Pearson correlation analysis method to analyze a correlation between the reflectivity of each band and the growth status and yield of the crop to obtain feature bands; constructing yield prediction factors based on the feature bands; and determining a predicted crop yield value of the target area for crop yield prediction based on the yield prediction factors and a crop planting area of the target area for crop yield prediction.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that can initially train a machine-learning-logo classifier using synthetic training images and incrementally apply the machine-learning-logo classifier to identify logo images to replace the synthetic training images as training data. By incrementally applying the machine-learning-logo classifier to determine one or both of logo scores and positions for logos within candidate logo images, the disclosed systems can select logo images and corresponding annotations indicating positions for ground-truth logos. In some embodiments, the disclosed systems can further augment the iterative training of a machine-learning-logo classifier to include user curation and removal of incorrectly detected logos from candidate images, thereby avoiding the risk of model drift across training iterations.

Abstract: The invention relates to a method and device for predicting a volume median diameter (VIVID) in an overlapped spray area of twin nozzles. Placing a single nozzle at different heights to determine a spray area; measuring all VMDs in the spray area to obtain first true measured values; dividing the first true measured values to construct a first calibration set and a first prediction set; establishing a polynomial fitting formula by a REGRESS function; placing twin nozzles at different heights and different nozzle spacing, and measuring VMDs in the overlapped spray area to obtain second true measured values; determining simulated values of the VMDs of first and second nozzles; dividing the simulated values of the VMDs and the second true measured values to construct a second calibration set and a second prediction set; quantitatively calibrating by using a radial basis function neural network (RBFNN) to obtain a prediction model; determining a VIVID in the overlapped spray area of twin nozzles.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that can initially train a machine-learning-logo classifier using synthetic training images and incrementally apply the machine-learning-logo classifier to identify logo images to replace the synthetic training images as training data. By incrementally applying the machine-learning-logo classifier to determine one or both of logo scores and positions for logos within candidate logo images, the disclosed systems can select logo images and corresponding annotations indicating positions for ground-truth logos. In some embodiments, the disclosed systems can further augment the iterative training of a machine-learning-logo classifier to include user curation and removal of incorrectly detected logos from candidate images, thereby avoiding the risk of model drift across training iterations.

Abstract: A universal packaging substrate, comprising a first substrate (102) and a silicon interposer (103), wherein, a plurality of bumps (106) are formed between the upper surface of the first substrate (102) and the lower surface of the silicon interposer (103) and electrically connect the upper surface of the first substrate (102) and the lower surface of the silicon interposer (103), and a plurality of wire bonding pads are formed on the upper surface of the silicon interposer (103) and are electrically connected to the bumps (106) respectively via silicon through holes (105). Also disclosed are a packaging structure provided with the packaging substrate and an packaging method. The substrate is suitable for small batch integrated circuit products, providing low cost and short cycle for packaging.

Abstract: The present invention relates to IP network communication technology. It provides a kind of IP multicast data layer distribution method and system. The method includes: first code original multicast data into multiple sub-flow, separately specify different shunt sub-source for every sub-flow, distribute sub-group address, create sub-group state, etc, form shunt structure. Then the sink send join news to each shunt sub-source, join each shunt sub-source sub-group and become the leaf node of each sub-tree. And then each shunt sub-source determine the intermediate node according to the port receiving join news and construct multicast distribution-tree. If the overlapping portion between the multicast distribution trees produce congestion, in the congestion nodes network coding is used to eliminate congestion and construct coding sub-tree according to the way of building multicast distribution tree from the below of the coding nodes.

Abstract: An optical disk drive system with quasi-parallel tasking comprises a decode/interface module, a servo control module and a procedure switch module. The decode/interface module receives and decodes at least one instruction to generate at least one corresponding procedure state. The servo control module generates at least one command according to the procedure state. The procedure switch module switches between the decode/interface module and the servo control module according to a received break signal. Furthermore, a servo control method is disclosed and comprises the following steps of: performing a decode/interface procedure for receiving and decoding at least one instruction to generate at least one corresponding procedure state; performing a servo control procedure for generating at least one command according to the procedure state; performing a break procedure for switching between the decode/interface procedure and the servo control procedure according to a received break signal.