Abstract: A method for diagnosing a reason of a malfunction is provided. The method includes: receiving a signal to be diagnosed; decomposing the signal to be diagnosed into a plurality of sub-signals; transforming each of the plurality of sub-signals into a corresponding grayscale image; and inputting the corresponding grayscale images to a neural network model, and outputting a malfunction reason classification result through the neural network model. Accordingly, the method can be used for diagnosing the reason of the malfunction and solves the problem of incapable of diagnosing the reason of the malfunction. In addition, a device and a computer-readable recording medium for diagnosing the reason of the malfunction are also provided.

Abstract: A non-intrusive detection method for detecting at least one pop-up window button of the pop-up window includes the following steps: retrieving a screen image on a display device; comparing the screen image with a preset screen image and generating a differential image area according the screen image and the preset screen image; determining the differential image area as the pop-up window when the differential image area is greater than an image area threshold value; selecting a plurality of contour lengths of the pop-up window matching up with a contour length threshold value by Canny edge detector; and analyzing the contour lengths according to Douglas-Peucker algorithm and an amount of endpoints to generate a contour edge corresponding to the pop-up window button.

Abstract: An automatically detecting method for time-varying text region of interest is disclosed. The automatically detecting method is adapted to an image processing unit of an information retrieval system, to detect a time-varying text region of interest having specific characters or character set as unit on an operation screen of a manufacturing machine, a processing machine or other equipment; furthermore, the automatically detecting method can be performed based on presence or absence of the historical screen data, and union of the detected region proposals for the time-varying text region of interest, to obtain an automatically labeled and selected time-varying text region of interest. According to the automatically detecting method, the user only needs to confirm whether the required data are labeled and selected, so it is more convenient for the user to setting data, and greatly helpful to reduce the setting time and correctly detect the required information.

Abstract: Reactor configurations may include one or more staged inlets and/or one or more staged outlets for gaseous and solid feedstocks. In one embodiment of the present disclosure, a reactor design for gas-solid reaction with one or more additional outlet for gas and/or solid phase is provided. In yet another embodiment, the design for a gas-solid reactor with one side inlet and two outlets for gas phase is described. In one embodiment, a reactor design with pairs of inlet and outlet for both gas and solid phase is provided. In another embodiment, a reactor design with one or more side inlets but only one outlet for gas phase is provided. In yet another embodiment, a reactor design with two inlets at the top/bottom of reactor and two side outlets for gaseous phase is described. In yet another embodiment, a reactor design with one or more side inlets and outlets for both gas and solid phases is provided.

Abstract: Provided is a cutting speed planning system including a graphic preprocessing engine, a first speed planning engine, an included angle calculation engine, a second speed planning engine and a speed determination engine. The graphic preprocessing engine substitutes a simplified cutting route for a plurality of short straight paths of a graphic path. The first speed planning engine calculates a reasonable maximum cutting speed of each cutting route. The included angle calculation engine calculates the included angle between two adjacent ones of the cutting routes. The second speed planning engine adjusts the terminal cutting speed and the initial cutting speed of the cutting routes. The speed determination engine performs speed planning on the cutting routes according to digital control system period time. A cutting speed planning method and a non-transitory storage medium are further provided.

Abstract: A non-intrusive detection method for detecting at least one pop-up window button of the pop-up window includes the following steps: retrieving a screen image on a display device; comparing the screen image with a preset screen image and generating a differential image area according the screen image and the preset screen image; determining the differential image area as the pop-up window when the differential image area is greater than an image area threshold value; selecting a plurality of contour lengths of the pop-up window matching up with a contour length threshold value by Canny edge detector; and analyzing the contour lengths according to Douglas-Peucker algorithm and an amount of endpoints to generate a contour edge corresponding to the pop-up window button.

Abstract: A configuration generating method for devices is applied to connecting ports and external devices connected to the connecting ports. The method includes the following steps: determining communication protocol types of the connecting ports respectively; generating a sequence list according to a plurality of device data, wherein each of the device data is corresponding to a communication protocol, the device data with ccTalk protocol are categorized in a first priority group, the device data with MDB protocol are categorized in a third sequence group, the device data other than those of the first priority group and the third priority group are categorized in a second priority group; and, testing the external devices sequentially and generating communication results according to the sequence list and the device data corresponding to the communication protocol types, and then generating a connecting ports configuration data of connecting ports according to the communication results.

Abstract: A non-intrusive shared processing method for pop-up window is applied for inhibiting or closing the pop-up window on the display device. The method includes the following steps: a non-intrusive terminal device publishing the pop-up window data to an information theme in a communication interface; a central processing device subscribing to the information theme to receive the pop-up window data and generating a decision data corresponding to the pop-up window data, and publishing the decision data to the information theme; and, the non-intrusive terminal device receiving the decision data from the information theme and inhibiting or closing the pop-up window of the display device according to the decision data. Therefore, the method of the present invention can automatically transmit the information and solution of the pop-up window to other equipments with the same type through subscription/publishing mechanism, thereby decreasing the process time.

Abstract: A configuration generating method for devices is applied to connecting ports and external devices connected to the connecting ports. The method includes the following steps: determining communication protocol types of the connecting ports respectively; generating a sequence list according to a plurality of device data, wherein each of the device data is corresponding to a communication protocol, the device data with ccTalk protocol are categorized in a first priority group, the device data with MDB protocol are categorized in a third sequence group, the device data other than those of the first priority group and the third priority group are categorized in a second priority group; and, testing the external devices sequentially and generating communication results according to the sequence list and the device data corresponding to the communication protocol types, and then generating a connecting ports configuration data of connecting ports according to the communication results.

Abstract: An automatically detecting method for time-varying text region of interest is disclosed. The automatically detecting method is adapted to an image processing unit of an information retrieval system, to detect a time-varying text region of interest having specific characters or character set as unit on an operation screen of a manufacturing machine, a processing machine or other equipment; furthermore, the automatically detecting method can be performed based on presence or absence of the historical screen data, and union of the detected region proposals for the time-varying text region of interest, to obtain an automatically labeled and selected time-varying text region of interest. According to the automatically detecting method, the user only needs to confirm whether the required data are labeled and selected, so it is more convenient for the user to setting data, and greatly helpful to reduce the setting time and correctly detect the required information.

Abstract: A method of determining noise reduction in a signal includes transforming the signal to generate a spectrogram; determining sharp change in a frequency spectrum for each frame in the spectrogram; and comparing a counted number of frames having sharp change with a predetermined value. The signal is determined to be subject to noise reduction if the counted number is greater than the predetermined value.

Abstract: A method and a computing device for adjusting a region of interest (ROI) are provided. The method includes: receiving a image sequence including a current image and a previous image; generating a predefined searching area based on a previous ROI in the previous image; performing feature matching on multiple image features within the predefined searching area in the previous image and multiple image features within the predefined searching area in the current image; and adjusting a position of the previous ROI in the previous image based on the image features within the predefined searching area in the current image in response to that the image features within the predefined searching area in the current image satisfy a matching condition to obtain the current ROI in the current image.

Abstract: An optical touch apparatus and a width detecting method thereof are provided. The optical touch apparatus includes at least two sensing components, a light emitting component, and a width detecting module. The sensing components are configured to sense a touch object located on a touch plane. The light emitting component is configured to be a light source of the touch plane and is disposed adjacent to one of the sensing components. The width detecting module is coupled to the light emitting component and the other of the sensing components. The light emitting component is controlled by the width detecting module to emit a light. The other of the sensing components is controlled by the width detecting module to sense intensity of the light. The width detecting module detects a distance between the sensing components according to the sensed intensity of the light.

Abstract: A method of determining noise reduction in a signal includes transforming the signal to generate a spectrogram; determining sharp change in a frequency spectrum for each frame in the spectrogram; and comparing a counted number of frames having sharp change with a predetermined value. The signal is determined to be subject to noise reduction if the counted number is greater than the predetermined value.

Abstract: A method for identifying a foreground object in an image and an electronic device are provided. The method includes: dividing a first image and a second image to obtain first image blocks in the first image and second image blocks in the second image; comparing the first image blocks with the second image blocks to obtain a plurality of disparity values respectively corresponding to the first image blocks, and generating a disparity image including the disparity values; comparing each disparity value in the disparity image with a first threshold to form a disparity depth image, and selecting a selected block from the disparity depth image to form a first region; and mapping the first region into the first image to identify a mapped object and identify the object as a foreground object.

Abstract: A video file processing method for making and outputting an event film according to video files is provided. The method includes: acquiring at least one video file and detecting a plurality of events and an occurring time of each event in the video file; extracting a plurality of event clips including the events from the video file according to the occurring time; obtaining an event film by assembling a plurality of concerned clips in the event clips according to a merging rule; and outputting the event film. In addition, a video file processing device and a monitoring system using the method are also provided.

Abstract: A method and a computer system for object tracking are provided. The method includes the following steps. An image sequence including multiple images with a target object is obtained. A labelling operation corresponding to the target object in first two images and last two images in the image sequence is received to respectively generate four ground truth labels of the target object. A forward tracking of the target object is performed on the image sequence in time series according to the ground truth labels of the first two images to obtain a forward tracking result. A backward tracking of the target object is performed on the image sequence in time series according to the ground truth labels of the last two images to obtain a backward tracking result. The forward and the backward tracking results are compared to accordingly generate a final tracking result of the target object.

Abstract: A method and a computer system for object tracking are provided. The method includes the following steps. An image sequence including multiple images with a target object is obtained. A labelling operation corresponding to the target object in first two images and last two images in the image sequence is received to respectively generate four ground truth labels of the target object. A forward tracking of the target object is performed on the image sequence in time series according to the ground truth labels of the first two images to obtain a forward tracking result. A backward tracking of the target object is performed on the image sequence in time series according to the ground truth labels of the last two images to obtain a backward tracking result. The forward and the backward tracking results are compared to accordingly generate a final tracking result of the target object.

Abstract: A method and a computing device for adjusting a region of interest (ROI) are provided. The method includes: receiving a image sequence including a current image and a previous image; generating a predefined searching area based on a previous ROI in the previous image; performing feature matching on multiple image features within the predefined searching area in the previous image and multiple image features within the predefined searching area in the current image; and adjusting a position of the previous ROI in the previous image based on the image features within the predefined searching area in the current image in response to that the image features within the predefined searching area in the current image satisfy a matching condition to obtain the current ROI in the current image.

Abstract: An optical touch apparatus and a width detecting method thereof are provided. The optical touch apparatus includes at least two sensing components, a light emitting component, and a width detecting module. The sensing components are configured to sense a touch object located on a touch plane. The light emitting component is configured to be a light source of the touch plane and is disposed adjacent to one of the sensing components. The width detecting module is coupled to the light emitting component and the other of the sensing components. The light emitting component is controlled by the width detecting module to emit a light. The other of the sensing components is controlled by the width detecting module to sense intensity of the light. The width detecting module detects a distance between the sensing components according to the sensed intensity of the light.