Abstract: A thermocouple power generation unit, module, and device that generate electricity using a temperature difference, characterized by compact size and high efficiency. The thermocouple power generation unit comprises an insulating substrate, a cathode alloy section, a first insulating layer, an anode alloy section, a second insulating layer, a cathode conductive lead, and an anode conductive lead. The cathode and anode alloy portions respectively include multiple cathode and anode nanowires that are etched from cathode and anode alloy materials and arranged at equal intervals. A single pair of cathode and anode nanowires forms multiple power generation units, which are arranged in series, with their free ends respectively connected to the corresponding cathode and anode conductive leads. The connection points between the cathode and anode nanowires of the power generation units form multiple power generation points.

Abstract: A method and device for controlling an air conditioner, and a computer readable storage medium. The method for controlling an air conditioner includes: upon detecting a power-on or power-off command corresponding to an internal unit of a central air conditioner, acquiring a current predicted load of the central air conditioner; determining whether the predicted load meets an external unit change condition; and if so, adjusting an operating state of an external unit of the central air conditioner on the basis of the predicted load.

Abstract: Methods, systems, and apparatuses are provided to automatically reconstruct an image, such as a 3D image. For example, a computing device may obtain an image, and may apply a first trained machine learning process to the image to generate coefficient values characterizing the image in a plurality of dimensions. Further, the computing device may generate a mesh based on the coefficient values. The computing device may apply a second trained machine learning process to the coefficient values and the image to generate a displacement map. Based on the mesh and the displacement map, the computing device may generate output data characterizing an aligned mesh. The computing device may store the output data within a data repository. In some examples, the computing device provides the output data for display.

Abstract: Techniques are provided for generating three-dimensional models of objects from one or more images or frames. For example, at least one frame of an object in a scene can be obtained. A portion of the object is positioned on a plane in the at least one frame. The plane can be detected in the at least one frame and, based on the detected plane, the object can be segmented from the plane in the at least one frame. A three-dimensional (3D) model of the object can be generated based on segmenting the object from the plane. A refined mesh can be generated for a portion of the 3D model corresponding to the portion of the object positioned on the plane.

Abstract: A processing method includes obtaining operation temperature data of a central air-conditioning system, determining a load of the central air-conditioning system based on the operation temperature data, determining operation state data of a device in the central air-conditioning system, and inputting the load and the operation state data into an energy efficiency evaluation model, to determine at least one of an energy consumption or an energy efficiency of the central air-conditioning system.

Abstract: Systems and techniques are provided for generating one or more models. For example, a process can include obtaining a plurality of input images corresponding to faces of one or more people during a training interval. The process can include determining a value of the coefficient representing at least the portion of the facial expression for each of the plurality of input images during the training interval. The process can include determining, from the determined values of the coefficient representing at least the portion of the facial expression for each of the plurality of input images during the training interval, an extremum value of the coefficient representing at least the portion of the facial expression during the training interval. The process can include generating an updated bounding value for the coefficient representing at least the portion of the facial expression based on the initial bounding value and the extremum value.

Abstract: Systems and techniques are provided for generating a texture for a three-dimensional (3D) facial model. For example, a process can include obtaining a first frame, the first frame including a first portion of a face. In some aspects, the process can include generating a 3D facial model based on the first frame and generating a first facial feature corresponding to the first portion of the face. In some examples, the process includes obtaining a second frame, the second frame including a second portion of the face. In some cases, the second portion of the face at least partially overlaps the first portion of the face. In some examples, the process includes combining the first facial feature with the second facial feature to generate an enhanced facial feature, wherein the combining is performed to enhance an appearance of select areas of the enhanced facial feature.

Abstract: Techniques are provided for generating three-dimensional models of objects from one or more images or frames. For example, at least one frame of an object in a scene can be obtained. A portion of the object is positioned on a plane in the at least one frame. The plane can be detected in the at least one frame and, based on the detected plane, the object can be segmented from the plane in the at least one frame. A three-dimensional (3D) model of the object can be generated based on segmenting the object from the plane. A refined mesh can be generated for a portion of the 3D model corresponding to the portion of the object positioned on the plane.

Abstract: Systems and techniques are provided for generating a three-dimensional (3D) facial model. For example, a process can include obtaining at least one input image associated with a face. In some aspects, the process can include obtaining a pose for a 3D facial model associated with the face. In some examples, the process can include generating, by a machine learning model, the 3D facial model associated with the face. In some cases, one or more parameters associated with a shape component of the 3D facial model are conditioned on the pose. In some implementations, the 3D facial model is configured to vary in shape based on the pose for the 3D facial model associated with the face.

Abstract: An air conditioner water system, a control method therefor, and a control device thereof, the method includes acquiring the pressure difference and temperature difference between a water intake pipe and a water discharge pipe of an air conditioner water system, the water intake pipe being connected to an inlet of a host module of the air conditioner water system, and the water discharge pipe being connected to an outlet of the host module; detecting and confirming that the pressure difference is less than or equal to a preset pressure difference, and controlling the operating frequency of a water pump of the air conditioner water system according to the pressure difference; and detecting and confirming that the pressure difference is greater than the preset pressure difference, and controlling the operating frequency of the water pump of the air conditioner water system according to the temperature difference.

Abstract: Methods, systems, and apparatuses are provided to automatically reconstruct an image, such as a 3D image. For example, a computing device may obtain an image, and may apply a first trained machine learning process to the image to generate coefficient values characterizing the image in a plurality of dimensions. Further, the computing device may generate a mesh based on the coefficient values. The computing device may apply a second trained machine learning process to the coefficient values and the image to generate a displacement map. Based on the mesh and the displacement map, the computing device may generate output data characterizing an aligned mesh. The computing device may store the output data within a data repository. In some examples, the computing device provides the output data for display.

Abstract: Systems and techniques are provided for facial expression recognition. In some examples, a system receives an image frame corresponding to a face of a person. The system also determines, based on a three-dimensional model of the face, landmark feature information associated with landmark features of the face. The system then inputs, to at least one layer of a neural network trained for facial expression recognition, the image frame and the landmark feature information. The system further determines, using the neural network, a facial expression associated with the face.

Abstract: Techniques are provided for generating three-dimensional models of objects from one or more images or frames. For example, at least one frame of an object in a scene can be obtained. A portion of the object is positioned on a plane in the at least one frame. The plane can be detected in the at least one frame and, based on the detected plane, the object can be segmented from the plane in the at least one frame. A three-dimensional (3D) model of the object can be generated based on segmenting the object from the plane. A refined mesh can be generated for a portion of the 3D model corresponding to the portion of the object positioned on the plane.

Abstract: The present invention discloses T-cell receptor of HLA-A11-restricted hepatitis B virus HBc 141-151 epitope peptide and applications thereof. The T cell receptor comprises an ? chain and ? chain; the ? chain comprises three complementarity determining regions with amino acid sequences shown in positions 48 to 53, positions 71 to 77 and positions 112 to 121 of SEQ ID NO. 2, respectively; the ? chain comprises three complementarity determining regions with amino acid sequences shown in positions 46 to 50, positions 68 to 73 and positions 111 to 122 of SEQ ID NO. 4, respectively. Experiments demonstrated that the T cell receptor exhibits both HBV polypeptide epitope-dependent activation and proliferation ability and also exhibits an ability to kill target cells both in vivo and in vitro.

Abstract: A teicoplanin derivative useful for treating an infectious disease, having the structure of formula (I): or the pharmaceutically acceptable salt, solvate, stereoisomer, derivative or prodrug thereof. In an exemplary compound of formula (I), R1 is R2 is H, R3 is —N(CH3)2, and R4 is H.

Abstract: Disclosed are techniques for processing image data. In some aspects, a three-dimensional model can be determined corresponding to an object in an input image. Based on the three-dimensional model, an estimated focal length can be determined that corresponds to the input image. An estimated depth associated with the object in the input image can be calculated based on the estimated focal length and an input image focal length.

Abstract: Systems and techniques are provided for generating one or more models. For example, a process can include obtaining a plurality of input images corresponding to faces of one or more people during a training interval. The process can include determining a value of the coefficient representing at least the portion of the facial expression for each of the plurality of input images during the training interval. The process can include determining, from the determined values of the coefficient representing at least the portion of the facial expression for each of the plurality of input images during the training interval, an extremum value of the coefficient representing at least the portion of the facial expression during the training interval. The process can include generating an updated bounding value for the coefficient representing at least the portion of the facial expression based on the initial bounding value and the extremum value.

Abstract: Techniques are provided for generating three-dimensional models of objects from one or more images or frames. For example, at least one frame of an object in a scene can be obtained. A portion of the object is positioned on a plane in the at least one frame. The plane can be detected in the at least one frame and, based on the detected plane, the object can be segmented from the plane in the at least one frame. A three-dimensional (3D) model of the object can be generated based on segmenting the object from the plane. A refined mesh can be generated for a portion of the 3D model corresponding to the portion of the object positioned on the plane.

Abstract: Systems and techniques are provided for facial expression recognition. In some examples, a system receives an image frame corresponding to a face of a person. The system also determines, based on a three-dimensional model of the face, landmark feature information associated with landmark features of the face. The system then inputs, to at least one layer of a neural network trained for facial expression recognition, the image frame and the landmark feature information. The system further determines, using the neural network, a facial expression associated with the face.

Abstract: A method and device for controlling an air conditioner, and a computer readable storage medium. The method for controlling an air conditioner includes: upon detecting a power-on or power-off command corresponding to an internal unit of a central air conditioner, acquiring a current predicted load of the central air conditioner; determining whether the predicted load meets an external unit change condition; and if so, adjusting an operating state of an external unit of the central air conditioner on the basis of the predicted load.