Abstract: A method for preparing organic-inorganic hybrid nanoflower by electrodeposition is provided, which relates to the technical field of enzyme immobilization. An aqueous solution of a rare earth nitrate is mixed with a biological enzyme and a nitrate to obtain a mixed solution; the rare earth ions in the rare earth nitrate are one or more selected from La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Yb and Y ions; the biological enzyme is ?-amylase, horseradish peroxidase or laccase; then, the mixed solution is electrodeposited with a three-electrode system consisting of a working electrode, a counter electrode and a reference electrode to obtain an electrodeposited film on the surface of the working electrode; thereafter, the electrodeposited film is washed and dried successively to obtain organic-inorganic hybrid nanoflower.

Abstract: An apparatus including an interface and a processor. The interface may be configured to receive pixel data. The processor may be configured to generate a reference image and a target image from the pixel data, perform disparity operations on the reference image and the target image and build a disparity map in response to the disparity operations. The disparity operations may comprise selecting a guide node from the pixel data comprising a pixel and a plurality of surrounding pixels, determining a peak location for the pixel by performing a full range search, calculating a shift offset peak location for each of the surrounding pixels by performing block matching operations in a local range near the peak location and generating values in a disparity map for the pixel data in response to the peak location for the pixel and the shift offset peak location for each of the surrounding pixels.

Abstract: The technical field of enzyme immobilization, and particularly, an organic-inorganic hybrid nanoflower and a preparation method thereof. The organic-inorganic hybrid nanoflower is a flower-like immobilized enzyme formed by self-assembly of a layered rare earth compound as an inorganic carrier and a biological enzyme as an organic component. The layered rare earth compound is Ln2(OH)5NO3·nH2O, where Ln is one or more of La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, or Y, and n=1.1-2.5. The biological enzyme is one or more of ?-amylase, horseradish peroxidase, or laccase. A layered rare earth compound is used as the inorganic carrier for the organic biological enzyme to form the flower-like immobilized enzyme. The immobilized enzyme has better stability and higher catalytic performance when compared with a free enzyme.

Abstract: Disclosed in the present application are an antenna apparatus and a terminal device. The present application, by means of adding a power attenuator to each antenna unit of an array antenna, and the power attenuators being used to load a Dolph-Chebyshev algorithm and/or a Taylor algorithm so as to attenuate power of an input signal, can effectively inhibit side lobe gain of the array antenna and ensure identical main lobe gain and width.

Abstract: An apparatus includes an interface and a processor. The interface may be configured to receive pixel data. The processor may be configured to (i) generate a reference image and a target image from said pixel data, (ii) perform disparity operations on the reference image and the target image, and (iii) build a disparity angle map in response to the disparity operations. The disparity operations may comprise (a) selecting a plurality of grid pixels, (b) measuring a disparity angle for each grid pixel, (c) calculating a plurality of coefficients by resolving a surface formulation for a disparity angle map of the grid pixels, and (d) generating values in a disparity angle map for the pixel data utilizing the coefficients.

Abstract: An apparatus includes an interface and a processor. The interface may be configured to receive pixel data. The processor may be configured to (i) generate a reference image and a target image from said pixel data, (ii) perform disparity operations on the reference image and the target image, and (iii) build a disparity angle map in response to the disparity operations. The disparity operations may comprise (a) selecting a plurality of grid pixels, (b) measuring a disparity angle for each grid pixel, (c) calculating a plurality of coefficients by resolving a surface formulation for a disparity angle map of the grid pixels, and (d) generating values in a disparity angle map for the pixel data utilizing the coefficients.

Abstract: A method for preparing organic-inorganic hybrid nanoflower by electrodeposition is provided, which relates to the technical field of enzyme immobilization. An aqueous solution of a rare earth nitrate is mixed with a biological enzyme and a nitrate to obtain a mixed solution; the rare earth ions in the rare earth nitrate are one or more selected from La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Yb and Y ions; the biological enzyme is ?-amylase, horseradish peroxidase or laccase; then, the mixed solution is electrodeposited with a three-electrode system consisting of a working electrode, a counter electrode and a reference electrode to obtain an electrodeposited film on the surface of the working electrode; thereafter, the electrodeposited film is washed and dried successively to obtain organic-inorganic hybrid nanoflower.

Abstract: An apparatus including an interface and a processor. The interface maybe configured to receive pixel data. The processor may be configured to generate a reference image and a target image from the pixel data, perform disparity operations on the reference image and the target image and build a disparity map in response to the disparity operations. The disparity operations may comprise selecting a guide node from the pixel data comprising a pixel and a plurality of surrounding pixels, determining a peak location for the pixel by performing a full range search, calculating a shift offset peak location for each of the surrounding pixels by performing block matching operations in a local range near the peak location and generating values in a disparity map for the pixel data in response to the peak location for the pixel and the shift offset peak location for each of the surrounding pixels.

Abstract: The technical field of enzyme immobilization, and particularly, an organic-inorganic hybrid nanoflower and a preparation method thereof. The organic-inorganic hybrid nanoflower is a flower-like immobilized enzyme formed by self-assembly of a layered rare earth compound as an inorganic carrier and a biological enzyme as an organic component. The layered rare earth compound is Ln2(OH)5NO3.nH2O, where Ln is one or more of La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, or Y, and n=1.1-2.5. The biological enzyme is one or more of ?-amylase, horseradish peroxidase, or laccase. A layered rare earth compound is used as the inorganic carrier for the organic biological enzyme to form the flower-like immobilized enzyme. The immobilized enzyme has better stability and higher catalytic performance when compared with a free enzyme.

Abstract: The technical field of enzyme immobilization, and particularly, an organic-inorganic hybrid nanoflower and a preparation method thereof. The organic-inorganic hybrid nanoflower is a flower-like immobilized enzyme formed by self-assembly of a layered rare earth compound as an inorganic carrier and a biological enzyme as an organic component. The layered rare earth compound is Ln2(OH)5NO3·nH2O, where Ln is one or more of La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, or Y, and n=1.1-2.5. The biological enzyme is one or more of ?-amylase, horseradish peroxidase, or laccase. A layered rare earth compound is used as the inorganic carrier for the organic biological enzyme to form the flower-like immobilized enzyme. The immobilized enzyme has better stability and higher catalytic performance when compared with a free enzyme.

Abstract: The technical field of enzyme immobilization, and particularly, an organic-inorganic hybrid nanoflower and a preparation method thereof. The organic-inorganic hybrid nanoflower is a flower-like immobilized enzyme formed by self-assembly of a layered rare earth compound as an inorganic carrier and a biological enzyme as an organic component. The layered rare earth compound is Ln2(OH)5NO3.nH2O, where Ln is one or more of La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, or Y, and n=1.1-2.5. The biological enzyme is one or more of ?-amylase, horseradish peroxidase, or laccase. A layered rare earth compound is used as the inorganic carrier for the organic biological enzyme to form the flower-like immobilized enzyme. The immobilized enzyme has better stability and higher catalytic performance when compared with a free enzyme.

Abstract: Embodiments include a method and apparatus for evaluating code in hierarchical architecture software, and a storage medium. The method includes acquiring layer definition information, of hierarchical architecture software to be tested, including layer information and intra-layer component information; scanning code of the hierarchical architecture software to be tested, to acquire basic information of the code including component information, intra-component file information and intra-file code metric information; mapping the basic information with the layer definition information, to obtain file information of each component in each layer of the hierarchical architecture software to be tested and intra-file code metric information; and calculating a code evaluation parameter of the hierarchical architecture software to be tested, based upon the file information of each component in each layer and the intra-file code metric information.

Abstract: Embodiments include a method and apparatus for evaluating code in hierarchical architecture software, and a storage medium. The method includes acquiring layer definition information, of hierarchical architecture software to be tested, including layer information and intra-layer component information; scanning code of the hierarchical architecture software to be tested, to acquire basic information of the code including component information, intra-component file information and intra-file code metric information; mapping the basic information with the layer definition information, to obtain file information of each component in each layer of the hierarchical architecture software to be tested and intra-file code metric information; and calculating a code evaluation parameter of the hierarchical architecture software to be tested, based upon the file information of each component in each layer and the intra-file code metric information.

Abstract: A system is provided to associate containers with handling equipment (HE) in a container storage facility. In the system an operation detector, such as a twistlock sensor that indicates when a container is picked up or dropped off, is installed on a first HE which is a piece of container handling equipment (CHE) that can lift the container. An event detector, such as a vibration sensor or distance measuring radar, is further installed on a second HE that is a tractor with an attached chassis for receiving and transporting a container. The event detector indicates when a container-operation-related event, such as a container pick up or drop off, occurred on the tractor chassis. The two detectors (operation and event) are used by a processor to associate the container with either the CHE or the tractor. The operation and event detectors can further be used in conjunction with position sensors such as a GPS sensor to accurately determine the position of the tractor and the CHE in a container yard.

Abstract: A method automatically detects errors in a container inventory database associated with a container inventory tracking system of a container storage facility. A processor in the inventory tracking system performs a method that: obtains a first data record, identifies an event (e.g., pickup, drop-off, or movement) associated with the first record, provides a list of error types based on the identified event, and determines whether a data error has occurred through a checking process. In each of the checking steps, the processor selects an error type from the list of error types, determines a search criterion based on the selected error type and the first data record, queries the database using the search criterion, compares query results with the first data record to detect data conflicts between them, and upon the detection of the data conflicts, reports that a data error of the selected error type has been detected.

Abstract: A method automatically detects and corrects errors in a container inventory database associated with a container inventory tracking system of a container storage facility. A processor in the inventory tracking system performs a method to detect errors; this method of error detection obtains a first data record, identifies an event (e.g., pickup or drop-off of a container, or movement of handing equipment) associated with the first record, provides a list of error types based on the identified event, and determines whether a data error has occurred through a checking process. To correct the errors, this method further sets search criteria based on the error detection results, queries the inventory tracking database using the set criteria, determines error candidates based on the query results, evaluates the error candidates to identify a match or matches among the error candidates, and corrects the error(s) by modifying the error detection results together with the identified match or matches.

Abstract: A method automatically detects errors in a container inventory database associated with a container inventory tracking system of a container storage facility. A processor in the inventory tracking system performs a method that: obtains a first data record, identifies an event (e.g., pickup, drop-off, or movement) associated with the first record, provides a list of error types based on the identified event, and determines whether a data error has occurred through a checking process. In each of the checking steps, the processor selects an error type from the list of error types, determines a search criterion based on the selected error type and the first data record, queries the database using the search criterion, compares query results with the first data record to detect data conflicts between them, and upon the detection of the data conflicts, reports that a data error of the selected error type has been detected.

Abstract: A system is provided to associate containers with handling equipment (HE) in a container storage facility. In the system an operation detector, such as a twistlock sensor that indicates when a container is picked up or dropped off, is installed on a first HE which is a piece of container handling equipment (CHE) that can lift the container. An event detector, such as a vibration sensor or distance measuring radar, is further installed on a second HE that is a tractor with an attached chassis for receiving and transporting a container. The event detector indicates when a container-operation-related event, such as a container pick up or drop off, occurred on the tractor chassis. The two detectors (operation and event) are used by a processor to associate the container with either the CHE or the tractor. The operation and event detectors can further be used in conjunction with position sensors such as a GPS sensor to accurately determine the position of the tractor and the CHE in a container yard.