Abstract: The present disclosure provides a detection system and a detection method. The microphone of the detection system receives the response signal formed according to the shape of the sealed cavity. The conversion unit transfers the response signal in the time domain to the frequency domain signal in the frequency domain. The calculation unit obtains every frequency value corresponding to the frequency gradient being zero of each frequency waveform which is chosen of the response signal. The average unit averages every frequency value corresponding to the frequency gradient being zero of each chosen frequency waveform into the average frequency value and outputs an average frequency value. The determination unit determines whether the average frequency value is located in the corresponding frequency tolerance range, so that the wearing status of the in-ear earphone is confirmed.

Abstract: The present disclosure provides a detection system and a detection method. The microphone of the detection system receives the response signal formed according to the shape of the sealed cavity. The conversion unit transfers the response signal in the time domain to the frequency domain signal in the frequency domain. The calculation unit obtains every frequency value corresponding to the frequency gradient being zero of each frequency waveform which is chosen of the response signal. The average unit averages every frequency value corresponding to the frequency gradient being zero of each chosen frequency waveform into the average frequency value and outputs an average frequency value. The determination unit determines whether the average frequency value is located in the corresponding frequency tolerance range, so that the wearing status of the in-ear earphone is confirmed.

Abstract: A biological image processing method is provided. The method acquires first time-frequency data from an image data; processing the first time-frequency data into the second time-frequency data using a filter module; and converting the second time-frequency data into a time domain signal. The filter module is obtained by machine learning, and is trained using a first sample time-frequency signal as input and a second sample time-frequency signal as output, wherein the noise of the time domain signal corresponding to the second sample time-frequency signal is less than the noise of the time domain signal corresponding to the first sample time-frequency signal. A biological information detection device is also provided.

Abstract: The present disclosure provides a control method for a touch device. The control method of the touch device allows the plurality of pressure sensors to be activated to detect the pressure on the touch position of the touch panel while the capacitive touch sensor is probably invalid and the touch device is abnormal. Therefore, the touch device works continuously when the capacitive touch sensor is probably invalid.

Abstract: The present disclosure provides a control method for a touch device. The control method of the touch device allows the plurality of pressure sensors to be activated to detect the pressure on the touch position of the touch panel while the capacitive touch sensor is probably invalid and the touch device is abnormal. Therefore, the touch device works continuously when the capacitive touch sensor is probably invalid.

Abstract: A wind noise filtering device includes a mixer, an extraction unit, a decision unit, a wind noise filter and an output module. The mixer receives a source sound and outputs an input audio. The extraction unit is electrically connected to the mixer to receive the input audio, the extraction unit performs feature extraction on the input audio to generate a plurality of feature data. The decision unit is electrically connected to the extraction unit to receive the feature data, the decision unit outputs a decision signal according to the plurality of feature data. The wind noise filter is electrically connected to the decision unit to receive the decision signal and is controlled to be turned on or off by the decision signal. The output module is electrically connected to the wind noise filter and the mixer to output an output audio according to the input audio or the filtered audio.

Abstract: A biological image processing method is provided. The method acquires first time-frequency data from an image data; processing the first time-frequency data into the second time-frequency data using a filter module; and converting the second time-frequency data into a time domain signal. The filter module is obtained by machine learning, and is trained using a first sample time-frequency signal as input and a second sample time-frequency signal as output, wherein the noise of the time domain signal corresponding to the second sample time-frequency signal is less than the noise of the time domain signal corresponding to the first sample time-frequency signal. A biological information detection device is also provided.

Abstract: A cathode assembly for a physical vapor deposition (PVD) system includes a target holder and a thickness detector. The target holder is for holding a target, in which the target has a first major surface and a second major surface. The first major surface and the second major surface are respectively proximal and distal to the target holder. The thickness detector is disposed on the target holder. At least one portion of the first major surface is exposed to the thickness detector for allowing the thickness detector to detect the thickness of the target through the first major surface.

Abstract: An isolation feature with a nitrogen-doped fill dielectric and a method of forming the isolation feature are disclosed. In an exemplary embodiment, the method of forming the isolation feature comprises receiving a substrate having a top surface. A recess is etched in the substrate, the recess extending from the top surface into the substrate. A dielectric is deposited within the recess such that the depositing of the dielectric includes introducing nitrogen during a chemical vapor deposition process. Accordingly, the deposited dielectric includes a nitrogen-doped dielectric. The deposited dielectric may include a nitrogen-doped silicon oxide. In some embodiments, the depositing of the dielectric disposes the nitrogen-doped dielectric in contact with a surface of the recess. In further embodiments, a liner material is deposited within the recess prior to the depositing of the dielectric within the recess.

Abstract: A cathode assembly for a physical vapor deposition (PVD) system includes a target holder and a thickness detector. The target holder is for holding a target, in which the target has a first major surface and a second major surface. The first major surface and the second major surface are respectively proximal and distal to the target holder. The thickness detector is disposed on the target holder. At least one portion of the first major surface is exposed to the thickness detector for allowing the thickness detector to detect the thickness of the target through the first major surface.

Abstract: An isolation feature with a nitrogen-doped fill dielectric and a method of forming the isolation feature are disclosed. In an exemplary embodiment, the method of forming the isolation feature comprises receiving a substrate having a top surface. A recess is etched in the substrate, the recess extending from the top surface into the substrate. A dielectric is deposited within the recess such that the depositing of the dielectric includes introducing nitrogen during a chemical vapor deposition process. Accordingly, the deposited dielectric includes a nitrogen-doped dielectric. The deposited dielectric may include a nitrogen-doped silicon oxide. In some embodiments, the depositing of the dielectric disposes the nitrogen-doped dielectric in contact with a surface of the recess. In further embodiments, a liner material is deposited within the recess prior to the depositing of the dielectric within the recess.

Abstract: A collision detection circuit for a multi-port memory system is presented. The collision detection circuit detects a collision condition if the addresses at two or more ports at the same time match and if one of the two or more ports is writing to the memory location associated with that address. A collision flag can then be set when the collision condition exists. In some embodiments, arbitration can occur when the collision flag is set.