Abstract: A board defect filtering method is provided. The method includes: receiving a defect list; obtaining a plurality of defect images of a plurality of defect records on the defect list; receiving a circuit layout image; analyzing a defect location of a first defect image of the plurality of defect images according to the circuit layout image; cropping the first defect image to obtain a first cropped defect image according to the defect location; inputting the first cropping defect image to a defect classifying model; and determining whether the first defect image is a qualified product image or not according to an output result of the defect classifying model.

Abstract: A plug-in type power module includes a power unit and a heat-transfer unit vertically disposed on the power unit and extending outwardly away from two sides of the power unit. A first ceramic layer is disposed between the power unit and the heat-transfer unit. Therefore, heat generated by the power unit can be transferred from the first ceramic layer to the heat-transfer unit to increase the speed of heat dissipation. A subsystem having the plug-in type power module is also provided.

Abstract: A plug-in type power module includes a power unit and a heat-transfer unit vertically disposed on the power unit and extending outwardly away from two sides of the power unit. A first ceramic layer is disposed between the power unit and the heat-transfer unit. Therefore, heat generated by the power unit can be transferred from the first ceramic layer to the heat-transfer unit to increase the speed of heat dissipation. A subsystem having the plug-in type power module is also provided.

Abstract: A plug-in type power module includes a power unit and a heat-transfer unit vertically disposed on the power unit and extending outwardly away from two sides of the power unit. A first ceramic layer is disposed between the power unit and the heat-transfer unit. Therefore, heat generated by the power unit can be transferred from the first ceramic layer to the heat-transfer unit to increase the speed of heat dissipation. A subsystem having the plug-in type power module is also provided.

Abstract: A board defect filtering method is provided. The method includes: receiving a defect list; obtaining a plurality of defect images of a plurality of defect records on the defect list; receiving a circuit layout image; analyzing a defect location of a first defect image of the plurality of defect images according to the circuit layout image; cropping the first defect image to obtain a first cropped defect image according to the defect location; inputting the first cropping defect image to a defect classifying model; and determining whether the first defect image is a qualified product image or not according to an output result of the defect classifying model.

Abstract: Provided is a roller with pressure sensor. The roller includes a pressure sensor mounted to the roller. The pressure sensor includes a plurality of pressure sensing units distributed on a thin film. The pressure sensing units are electrically connected to each other with a metal wire but not in contact with each other. Also provided is a roll-to-roll device, which includes a roller mechanism and a pressure sensor.

Abstract: An intelligent diagnosis system for a power module. The system includes a power module, a hardware checking module and a diagnostic module. The power module has a temperature sensing element for obtaining a temperature difference between a starting minimum temperature and a current temperature. The hardware checking module has a current sensing element, a voltage sensing element and a magnetic coupling closed loop detection element for obtaining the current, the output voltage and the input voltage of the power module, and the hardware loop status, respectively. The diagnostic module calculates the number of cycles that have been operated, a measured impedance and an instantaneous power based on those measurement results, and calculating a risk index based on the number of cycles that have been operated, the temperature difference, the measured impedance, the instantaneous power and the hardware loop status, thereby determining the accumulation of the abnormality index record.

Abstract: An intelligent diagnosis system for a power module. The system includes a power module, a hardware checking module and a diagnostic module. The power module has a temperature sensing element for obtaining a temperature difference between a starting minimum temperature and a current temperature. The hardware checking module has a current sensing element, a voltage sensing element and a magnetic coupling closed loop detection element for obtaining the current, the output voltage and the input voltage of the power module, and the hardware loop status, respectively. The diagnostic module calculates the number of cycles that have been operated, a measured impedance and an instantaneous power based on those measurement results, and calculating a risk index based on the number of cycles that have been operated, the temperature difference, the measured impedance, the instantaneous power and the hardware loop status, thereby determining the accumulation of the abnormality index record.

Abstract: Provided is a roller with pressure sensor. The roller includes a pressure sensor mounted to the roller. The pressure sensor includes a plurality of pressure sensing units distributed on a thin film. The pressure sensing units are electrically connected to each other with a metal wire but not in contact with each other. Also provided is a roll-to-roll device, which includes a roller mechanism and a pressure sensor.

Abstract: A plug-in type power module includes a power unit and a heat-transfer unit vertically disposed on the power unit and extending outwardly away from two sides of the power unit. A first ceramic layer is disposed between the power unit and the heat-transfer unit. Therefore, heat generated by the power unit can be transferred from the first ceramic layer to the heat-transfer unit to increase the speed of heat dissipation. A subsystem having the plug-in type power module is also provided.

Abstract: A method and device for automatically detecting heart valve damage for four heart valves are proposed. The automatic determination method makes use of three or more heart tone microphones to simultaneously record heart tones of a patient's heart, and then separates the heart tones into four heart tone signals of the aortic valve, the pulmonary valve, the tricuspid valve and the mitral valve of the heart based on the timing characteristics and related techniques. Next, these four heart tone signals are digitally processed into sampling signals. Subsequently, the convolution method is used to process the sampling signals for producing system transfer functions. Finally, the system transfer functions and the reference database are compared to verify and determine damage for the four heart valves. The automatic determination method can judge heart valve damage to enhance the quality and convenience of medical treatment.

Abstract: A method and device for automatically detecting heart valve damage for four heart valves are proposed. The automatic determination method makes use of three or more heart tone microphones to simultaneously record heart tones of a patient's heart, and then separates the heart tones into four heart tone signals of the aortic valve, the pulmonary valve, the tricuspid valve and the mitral valve of the heart based on the timing characteristics and related techniques. Next, these four heart tone signals are digitally processed into sampling signals. Subsequently, the convolution method is used to process the sampling signals for producing system transfer functions. Finally, the system transfer functions and the reference database are compared to verify and determine damage for the four heart valves. The automatic determination method can judge heart valve damage to enhance the quality and convenience of medical treatment.

Abstract: A method and device for automatically detecting heart valve damage for four heart valves are proposed. The automatic determination method makes use of three or more heart tone microphones to simultaneously record heart tones of a patient's heart, and then separates the heart tones into four heart tone signals of the aortic valve, the pulmonary valve, the tricuspid valve and the mitral valve of the heart based on the timing characteristics and related techniques. Next, these four heart tone signals are digitally processed into sampling signals. Subsequently, the convolution method is used to process the sampling signals for producing system transfer functions. Finally, the system transfer functions and the reference database are compared to verify and determine damage for the four heart valves. The automatic determination method can judge heart valve damage to enhance the quality and convenience of medical treatment.

Abstract: A method and device for automatically detecting heart valve damage for four heart valves are proposed. The automatic determination method makes use of three or more heart tone microphones to simultaneously record heart tones of a patient's heart, and then separates the heart tones into four heart tone signals of the aortic valve, the pulmonary valve, the tricuspid valve and the mitral valve of the heart based on the timing characteristics and related techniques. Next, these four heart tone signals are digitally processed into sampling signals. Subsequently, the convolution method is used to process the sampling signals for producing system transfer functions. Finally, the system transfer functions and the reference database are compared to verify and determine damage for the four heart valves. The automatic determination method can judge heart valve damage to enhance the quality and convenience of medical treatment.

Abstract: A method and device for automatically detecting heart valve damage for four heart valves are proposed. The automatic determination method makes use of three or more heart tone microphones to simultaneously record heart tones of a patient's heart, and then separates the heart tones into four heart tone signals of the aortic valve, the pulmonary valve, the tricuspid valve and the mitral valve of the heart based on the timing characteristics and related techniques. Next, these four heart tone signals are digitally processed into sampling signals. Subsequently, the convolution method is used to process the sampling signals for producing system transfer functions. Finally, the system transfer functions and the reference database are compared to verify and determine damage for the four heart valves. The automatic determination method can judge heart valve damage to enhance the quality and convenience of medical treatment.

Abstract: A method and device for automatically detecting heart valve damage for four heart valves are proposed. The automatic determination method makes use of three or more heart tone microphones to simultaneously record heart tones of a patient's heart, and then separates the heart tones into four heart tone signals of the aortic valve, the pulmonary valve, the tricuspid valve and the mitral valve of the heart based on the timing characteristics and related techniques. Next, these four heart tone signals are digitally processed into sampling signals. Subsequently, the convolution method is used to process the sampling signals for producing system transfer functions. Finally, the system transfer functions and the reference database are compared to verify and determine damage for the four heart valves. The automatic determination method can judge heart valve damage to enhance the quality and convenience of medical treatment.