Abstract: A compaction method and device for SST files are provided. The method includes identifying one or more first SST files and one or more second SST files, obtaining priority information based on a key overlapping ratio between the one or more first SST files and one or more second SST files, obtaining attribute information of zones corresponding to the one or more first SST files and the one or more second SST files, and performing compaction on a first SST file, among the one or more first SST files based the priority information.

Abstract: A method of writing a file, including acquiring a plurality of target files to be written; determining, for each of the plurality of target files, a feature value associated with a file failure time of each of the plurality of target files; allocating a reclaim circuit handler to each target file based on the feature value of each target file such that differences between failure times of individual files contained in a reclaim circuit pointed to by the reclaim circuit handler are less than a preset threshold value, each reclaim circuit handler being one of a preset plurality of reclaim circuit handlers; writing each target file into the reclaim circuit pointed to by the reclaim circuit handler allocated to each target file.

Abstract: Provided are a non-contact live detection apparatus and a live detection method. The non-contact live detection apparatus includes a processing unit and a detection unit and an image collection unit which are both communicatively connected to the processing unit. The detection unit includes an electromagnetic wave sensor and at least three ultrasonic sensors. The image collection unit is configured to collect an insulation defect picture of an overhead power line detected by the detection unit. The processing unit is configured to obtain the spatial coordinates, two-dimensional pixel coordinates, electromagnetic wave intensity, and ultrasonic intensity of an insulation defect location according to a detection result of the detection unit and perform identification on the insulation defect picture.

Abstract: Provided are a non-contact live detection apparatus and a live detection method. The non-contact live detection apparatus includes a processing unit and a detection unit and an image collection unit which are both communicatively connected to the processing unit. The detection unit includes an electromagnetic wave sensor and at least three ultrasonic sensors. The image collection unit is configured to collect an insulation defect picture of an overhead power line detected by the detection unit. The processing unit is configured to obtain the spatial coordinates, two-dimensional pixel coordinates, electromagnetic wave intensity, and ultrasonic intensity of an insulation defect location according to a detection result of the detection unit and perform identification on the insulation defect picture.

Abstract: A bandwidth control method and a storage device are provided. The bandwidth control method may include: determining a target bandwidth expected when an application uses a storage device; calculating a bandwidth difference between the target bandwidth and an allocation bandwidth allocated to the application by the storage device; and adjusting the allocation bandwidth to the target bandwidth based on the bandwidth difference.

Abstract: Embodiments of the invention provides a smart outdoor switchgear for control and protection of connection and disconnection of a medium-voltage microgrid, which includes: a current transformer, an isolating switch mechanism, an outdoor circuit breaker, an electric isolating driving mechanism and an outdoor jet type fuse. The current transformer is installed on an outlet end of the outdoor circuit breaker. The isolating switch mechanism is connected to the current transformer, and the isolating switch mechanism is connected to the outlet end of the outdoor circuit breaker through the current transformer. A top of the isolating switch mechanism on a side away from the current transformer is connected to a top of the outdoor jet type fuse, and a bottom of the isolating switch mechanism on the side away from the current transformer is connected to a bottom of the outdoor jet type fuse. The electric isolating driving mechanism is installed on the bottom of the isolating switch mechanism.

Abstract: A compaction method and device for SST files are provided. The method includes identifying one or more first SST files and one or more second SST files, obtaining priority information based on a key overlapping ratio between the one or more first SST files and one or more second SST files, obtaining attribute information of zones corresponding to the one or more first SST files and the one or more second SST files, and performing compaction on a first SST file, among the one or more first SST files based the priority information.

Abstract: A bandwidth control method and a storage device are provided. The bandwidth control method may include: determining a target bandwidth expected when an application uses a storage device; calculating a bandwidth difference between the target bandwidth and an allocation bandwidth allocated to the application by the storage device; and adjusting the allocation bandwidth to the target bandwidth based on the bandwidth difference.

Abstract: Based on at least one manufacturing process characteristics associated with a manufacturing process, a prediction time at which to execute a selected machine learning model selected from multiple trained machine learning models is determined, and at the prediction time, the selected machine learning model is executed. Executing the selected machine learning model predicts a control set point for future values of state variables of the manufacturing process, for controlling the manufacturing process. Based on at least one of the manufacturing process characteristics, a learning time at which to train a machine learning model is determined, and at the learning time, the machine learning model is trained based on historical process data associated with the manufacturing process.

Abstract: Disclosed are methods and systems for characterizing and analyzing an electronic system design including a parallel interface. Some methods and systems identify an electronic design including a parallel interface, determine a single circuit representation including the parallel interface from the electronic design, and analyze the parallel interface to determine waveform responses of the parallel interface by using channel analysis techniques without performing circuit simulations.

Abstract: The present invention discloses a method and an apparatus for measuring a posture angle of an object. The method comprises the following steps: arranging a sensor in a measured object, the sensor being used for measuring characteristic quantities of magnetic field in three dimensional directions; actuating the sensor at the beginning of the measurement, and acquiring, by using the sensor, a current measured value of the characteristic quantity of magnetic field of the measured object in a carrier coordinate system; acquiring reference values of the characteristic quantities of magnetic field of the measured object in a geographic coordinate system; and calculating a current posture angle of the measured object according to numerical values of the characteristic quantities of magnetic field indicated by the reference value and the measured value in each direction respectively.

Abstract: Disclosed is a search system, method and apparatus. A click operation in a search frame is detected. In response to a click operation is detected, a control corresponding to the click operation is determined, the control comprising a text input control and an image input control that are preset in the search frame. The clicked control in the search frame according to the control corresponding to the click operation is enabled, and an unclicked control is concealed. Information for search through the enabled control is received, the information for search comprises a text for search or an image for search. The received information for search is sent to a server, so that the server carries out searching based on the information for search, to obtain an image search result.

Abstract: Based on at least one manufacturing process characteristics associated with a manufacturing process, a prediction time at which to execute a selected machine learning model selected from multiple trained machine learning models is determined, and at the prediction time, the selected machine learning model is executed. Executing the selected machine learning model predicts a control set point for future values of state variables of the manufacturing process, for controlling the manufacturing process. Based on at least one of the manufacturing process characteristics, a learning time at which to train a machine learning model is determined, and at the learning time, the machine learning model is trained based on historical process data associated with the manufacturing process.

Abstract: Embodiments include herein are directed towards a method for electronic circuit design. Embodiments may include displaying, at a graphical user interface, an electronic circuit design topology environment and allowing a user to select, create, or modify an entirely single pin topology, an entirely multi-pin topology, or a combination of a single pin topology and a multi-pin topology for one or more portions of the electronic circuit design topology environment. Embodiments may also include receiving a selection of a designated portion of the electronic circuit design topology environment and generating, at the graphical user interface, a first, pin-adjustable symbol in accordance with the selected topology at the designated portion.

Abstract: The present disclosure relates to non-linear systems associated with an electronic circuit design. Embodiments may include identifying the non-linear system associated with the electronic circuit design and determining a degree of severity of non-linearity of the non-linear system associated with the electronic circuit design. If the degree of severity is less than a predefined threshold, embodiments may further include receiving a random input pattern and deriving a single impulse response characterization, wherein the random input pattern is based upon, at least in part, an electronic circuit simulation associated with the electronic circuit design.

Abstract: The present disclosure discloses a search method and apparatus. A specific implementation of the method comprises: receiving first information for searching, the first information for searching comprising an image for searching; determining an image attribute tag selected by a selection operation as being second information for searching in response to detecting the selection operation of the preset image attribute tag, the image attribute tag being used for indicating an attribute of the image; sending the received first information for searching and the determined second information for searching to a server, so that the server conducts a search according to the first information for searching and the second information for searching to obtain and send a first image search result; and receiving and displaying the first image search result sent by the server. This implementation improves the search efficiency.

Abstract: The invention provides a bus-bar assembly, a power battery over-load protection system and method, as well as a power battery assembly, wherein the bus-bar assembly comprises a first connection arm having one or more connection ends so as to be connected to an upstream battery cell; a second connection arm having one or more connection ends so as to be connected to a downstream battery cell; and a PTC unit connected between the first connection arm and the second connection arm. The bus-bar assembly, the over-load protection system, the power battery assembly and the vehicle or the like according to the invention has better safety and stability.

Abstract: Based on at least one manufacturing process characteristics associated with a manufacturing process, a prediction time at which to execute a selected machine learning model selected from multiple trained machine learning models is determined, and at the prediction time, the selected machine learning model is executed. Executing the selected machine learning model predicts a control set point for future values of state variables of the manufacturing process, for controlling the manufacturing process. Based on at least one of the manufacturing process characteristics, a learning time at which to train a machine learning model is determined, and at the learning time, the machine learning model is trained based on historical process data associated with the manufacturing process.

Abstract: Based on at least one manufacturing process characteristics associated with a manufacturing process, a prediction time at which to execute a selected machine learning model selected from multiple trained machine learning models is determined, and at the prediction time, the selected machine learning model is executed. Executing the selected machine learning model predicts a control set point for future values of state variables of the manufacturing process, for controlling the manufacturing process. Based on at least one of the manufacturing process characteristics, a learning time at which to train a machine learning model is determined, and at the learning time, the machine learning model is trained based on historical process data associated with the manufacturing process.

Abstract: The present disclosure relates to a computer-implemented method for use in an electronic design. Embodiments may include receiving, using at least one processor, an electronic design and linking a printed circuit board (PCB) block to a physical layout associated with the electronic design. Embodiments may further include receiving, at a layout environment, at least one simulation parameter and performing, using a finite difference time domain (“FDTD”) simulator, a time-domain simulation, based upon, at least in part, the at least one simulation parameter.