Abstract: A method for migrating virtual machine snapshots to application container platforms is disclosed. In one embodiment, such a method includes migrating, from a virtual machine platform to a volume on a container platform, a base disk file associated with a virtual machine. The base disk file has one or more delta disk files associated therewith, where each delta disk file records changes made to the virtual machine after a snapshot was taken. After migrating the base disk file, the method repeatedly performs the following for each delta disk file: takes a snapshot of the volume on the container platform; migrates the delta disk file from the virtual machine platform to the container platform; and writes the delta disk file to the volume. In certain embodiments, the delta disk files are written to the volume in an order in which they were created on the virtual machine.

Abstract: A method for migrating virtual machine snapshots to application container platforms is disclosed. In one embodiment, such a method includes migrating, from a virtual machine platform to a volume on a container platform, a base disk file associated with a virtual machine. The base disk file has one or more delta disk files associated therewith, where each delta disk file records changes made to the virtual machine after a snapshot was taken. After migrating the base disk file, the method repeatedly performs the following for each delta disk file: takes a snapshot of the volume on the container platform; migrates the delta disk file from the virtual machine platform to the container platform; and writes the delta disk file to the volume. In certain embodiments, the delta disk files are written to the volume in an order in which they were created on the virtual machine.

Abstract: An improved structure of a Universal Serial Bus (USB) connector is provided. The improved structure of the USB connector includes: a middle partition, including a base part and a tongue part extending from the base part; an upper row of terminals disposed above the base part, wherein the upper row of terminals have a first contact part having a first width and extending to the tongue part; and a lower row of terminals disposed under the base part, wherein the lower row of terminals have a second contact part having a second width and extending to the tongue part, wherein the tongue part has a third width, and the first width, second width and third width have the same distance.

Abstract: Separator membranes for ion batteries and methods of producing such separator membranes are disclosed herein. The separator membranes have vertically-aligned pores that have as small as submicron diameters at one or both membrane surfaces. The separator membranes may be fabricated via a novel and innovative bidirectional freeze-casting process that produces a temperature gradient in two directions. The separator membranes disclosed herein and fabricated by this method can be used in ion batteries, such as sodium ion batteries.

Abstract: An ear canal clamp for small animals includes a base and a clamping mechanism. The clamping mechanism includes two clamping arms movably mounted on the base, a biasing member mounted on the base and constrained between the clamping arms, and two ear canal positioning members mounted respectively to the clamping arms and facing each other. The clamping arms are configured to move toward each other and compress the biasing member to increase the distance between the ear canal positioning members. A biasing force generated by the biasing member when compressed is used to push the clamping arms to move oppositely with respect to each other.

Abstract: A physical analysis method, a sample for physical analysis and a preparing method thereof are provided. The preparing method of the sample for physical analysis includes: providing a sample to be inspected; and forming a contrast enhancement layer on a surface of the sample to be inspected. The contrast enhancement layer includes a plurality of first material layers and a plurality of second material layers stacked upon one another. The first material layer and the second material layer are made of different materials. Each one of the first and second material layers has a thickness that does not exceed 0.1 nm. In an image captured by an electron microscope, a difference between an average grayscale value of a surface layer image of the sample to be inspected and an average grayscale value of an image of the contrast enhancement layer is at least 50.

Abstract: A sample analyzing method and a sample preparing method are provided. The sample analyzing method includes a sample preparing step, a placing step, and an analyzing step. The sample preparing step includes an obtaining step implemented by obtaining an identification information; and a marking and placing step implemented by placing a sample carrying component having a sample disposed thereon into a marking equipment, allowing the marking equipment to utilize the identification information to form an identification structure on the sample carrying component, and placing the sample carrying component into one of the accommodating slots according to the identification information. The placing step is implemented by taking out the sample carrying component from one of the accommodating slots and placing the sample carrying component into an electron microscope equipment. The analyzing step is implemented by utilizing the electron microscope equipment to photograph the sample to generate an analyzation image.

Abstract: A power supply with a separable communication module includes a casing with a port; a main board placed in the casing and having a power conversion circuit; a sub-board electrically connected to the power conversion circuit and provided with at least one first connector; and a communication module. The power conversion circuit has at least one electrical connection terminal. A first interface of the first connector faces the port. The communication module includes a first circuit board and a communication circuit disposed on the first circuit board, the first circuit board has an electrical connection part electrically connected to the communication circuit, the electrical connection part has a first state of connecting with the first interface, and a second state of detaching from the first interface.

Abstract: A photovoltaic inverter includes a casing, at least one circuit board located in the casing, a current sensor located on the at least one circuit board, an arc detector located on the at least one circuit board, a self-test coil located on the at least one circuit board, and at least one direct current input terminal located on the casing and connected to the at least one circuit board, wherein the self-test coil is configured to deliver a test signal to be sensed by the arc detector, and the direct current input terminal is configured to deliver a direct current through the arc detector, wherein the current sensor is configured to detect a magnitude of the direct current passing through the direct current input terminal.

Abstract: An EMI filter system includes a circuit board and a choke. The circuit board includes at least three capacitors. The choke mounts on the circuit board and includes a non-circular magnetic core and at least three windings. The at least three windings are wound on the non-circular magnetic core. The at least three capacitors are disposed adjacent to the choke, and first outlet ends of the at least three windings are respectively connected to the corresponding at least three capacitors.

Abstract: In some examples, dark web content analysis and identification may include ascertaining data that includes text and images, and analyzing the data by performing deep learning based text and image processing to extract text embedded in the images, and deep embedded clustering to generate clusters. Clusters that are to be monitored may be ascertained from the generated clusters. A determination may be made as to whether the ascertained data is sufficient for classification. If so, a deep convolutional generative adversarial networks (DCGAN) based detector may be utilized to analyze further data with respect to the ascertained clusters, and alternatively, a convolutional neural network (CNN) based detector may be utilized to analyze the further data with respect to the ascertained clusters. Based on the analysis of the further data, an operation associated with a website related to the further data may be controlled.

Abstract: A power supply comprises a casing with a port; a main board placed in the casing and having a power conversion circuit; a sub-board electrically connected to the power conversion circuit and provided with at least one first connector; and a communication module. The power conversion circuit has at least one electrical connection terminal. A first interface of the first connector faces the port. The communication module comprises a first circuit board and a communication circuit disposed on the first circuit board, the first circuit board has an electrical connection part electrically connected to the communication circuit, the electrical connection part has a first state of connecting with the first interface so that the communication module and the power conversion circuit are electrically connected, and a second state of detaching from the first interface so that the communication module is separated from and electrically disconnected with the sub-board.

Abstract: A natural language processing system includes a storage device and a processor. The storage device is configured to preload records of failure histories of semiconductor equipment, and the records of the failure histories of the semiconductor equipment include natural language. The processor is electrically connected to the storage device and is configured to perform a natural language process on the records of the failure histories of the semiconductor equipment to generate an abnormal model classification table.

Abstract: A head cap with channel identification includes a head cap, channel identification module, a controlling module, and electrical stimulation modules. The head cap includes the channels therein, and the head cap includes brain regions corresponding to the brain areas of the human being. The electrical stimulation modules disposed in the channels, and the channel identification modules disposed around the peripheral of the channels. The controlling module is electrically coupled to the channel identification modules. When the electrical stimulation modules disposed in some of the channels, the channel identification modules around the peripheral of the channels and the electrical stimulation module are constituted a circuit conduction status or a short circuit status, then the channel identification module transmits a signal to the controlling module to determine the desired sites of the electrical stimulation module where is corresponding to one of the brain areas of the human being according to the signal.

Abstract: A signal sampling circuit for arc detection includes plural current sensors, plural high pass filter circuits, and an adder circuit. Each of the current sensors is configured to sense a measured current and then generate a sensed voltage signal. One of the high pass filter circuits receives the sensed voltage signal from one of the current sensors and performs high-pass filtering on the sensed voltage signal. The adder circuit performs scaling up, adding, and DC offset on the high-pass filtered sensed voltage signals. Each of the high pass filter circuits is composed of a filter capacitor and a first resistor connected in series with the filter capacitor. The adder circuit is composed of the first resistors, a first operational amplifier, and a second resistor.

Abstract: A control method for an electrical walker is provided. The control method includes measuring a plurality of slope angle values, determining a correction parameter value according to the plurality of slope angle values and generating a corrected driving force value according to the correction parameter value and an original driving force value.

Abstract: In some examples, dark web content analysis and identification may include ascertaining data that includes text and images, and analyzing the data by performing deep learning based text and image processing to extract text embedded in the images, and deep embedded clustering to generate clusters. Clusters that are to be monitored may be ascertained from the generated clusters. A determination may be made as to whether the ascertained data is sufficient for classification. If so, a deep convolutional generative adversarial networks (DCGAN) based detector may be utilized to analyze further data with respect to the ascertained clusters, and alternatively, a convolutional neural network (CNN) based detector may be utilized to analyze the further data with respect to the ascertained clusters. Based on the analysis of the further data, an operation associated with a website related to the further data may be controlled.

Abstract: A sample analyzing method and a sample preparing method are provided. The sample analyzing method includes a sample preparing step, a placing step, and an analyzing step. The sample preparing step includes an obtaining step implemented by obtaining an identification information; and a marking and placing step implemented by placing a sample carrying component having a sample disposed thereon into a marking equipment, allowing the marking equipment to utilize the identification information to form an identification structure on the sample carrying component, and placing the sample carrying component into one of the accommodating slots according to the identification information. The placing step is implemented by taking out the sample carrying component from one of the accommodating slots and placing the sample carrying component into an electron microscope equipment. The analyzing step is implemented by utilizing the electron microscope equipment to photograph the sample to generate an analyzation image.

Abstract: In some examples, dark web content analysis and identification may include ascertaining data that includes text and images, and analyzing the data by performing deep learning based text and image processing to extract text embedded in the images, and deep embedded clustering to generate clusters. Clusters that are to be monitored may be ascertained from the generated clusters. A determination may be made as to whether the ascertained data is sufficient for classification. If so, a deep convolutional generative adversarial networks (DCGAN) based detector may be utilized to analyze further data with respect to the ascertained clusters, and alternatively, a convolutional neural network (CNN) based detector may be utilized to analyze the further data with respect to the ascertained clusters. Based on the analysis of the further data, an operation associated with a website related to the further data may be controlled.

Abstract: A physical analysis method, a sample for physical analysis and a preparing method thereof are provided. The preparing method of the sample for physical analysis includes: providing a sample to be inspected; and forming a contrast enhancement layer on a surface of the sample to be inspected. The contrast enhancement layer includes a plurality of first material layers and a plurality of second material layers stacked upon one another. The first material layer and the second material layer are made of different materials. Each one of the first and second material layers has a thickness that does not exceed 0.1 nm. In an image captured by an electron microscope, a difference between an average grayscale value of a surface layer image of the sample to be inspected and an average grayscale value of an image of the contrast enhancement layer is at least 50.