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.

Abstract: Disclosed are a display device and a method for adjusting its display brightness. The display device includes a display screen and an ambient light sensor in the display screen, wherein the ambient light sensor includes a photodeformable element, and the photodeformable element includes a photodeformable material layer; and the photodeformable element is configured to deform in response to a change in ambient light to obtain output of the ambient light sensor. The ambient light sensor has a simple structure and is easy to be made and to be combined with the display screen.

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: The present disclosure provides a system and a method for monitoring semiconductor manufacturing equipment. The system includes a sensor, a circuit, and an analysis unit. The sensor provides a sensor signal. The circuit receives the sensor signal and generates an input signal. The analysis unit includes a signal management platform, receiving the input signal and performing a first data process to generate a first data signal; a diagnosis subsystem, receiving the first data signal from the signal management platform and performing a health status monitoring process to generate a second data signal; and a decision subsystem, performing a determination process to generate a third data signal according to the second data signal from the diagnosis subsystem. The diagnosis subsystem generates a feedback signal according to the third data signal, and the signal management platform transmits the feedback signal to the semiconductor manufacturing equipment.

Abstract: A blind-spot image device with adjustment rings is applicable to a vehicle and includes a housing and a camera module in addition to two adjustment rings, wherein the housing has an opening and is protrudingly provided with an extension portion corresponding in position to the opening; the rear half of the camera module extends into the opening; the front side of the camera module is provided with a lens element; and the adjustment rings are mounted around the camera module and hold the extension portion between them, with one adjustment ring lying outside the housing and the other adjustment ring inside the housing. The blind-spot image device is characterized in that the corresponding sides of the two adjustment rings are inclined, and that the shooting angle of the lens element can be changed by rotating the adjustment rings.

Abstract: The present disclosure discloses a method for executing an operation action on a display screen and a device for executing an operation action. Firstly, a gazing position of an operator's eyes on the display screen and a corresponding operation position of the operator's operating portion on the display screen are determined, then a corresponding operation is executed for content displayed on the display screen according to the operation action of the operating portion, when it is determined that the gazing position of the operator's eyes on the display screen is consistent with the corresponding operation position of the operator's operating portion on the display screen.

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: Disclosed are a display device and a method for adjusting its display brightness. The display device includes a display screen and an ambient light sensor in the display screen, wherein the ambient light sensor includes a photodeformable element, and the photodeformable element includes a photodeformable material layer; and the photodeformable element is configured to deform in response to a change in ambient light to obtain output of the ambient light sensor. The ambient light sensor has a simple structure and is easy to be made and to be combined with the display screen.