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: 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 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: 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 cursor image detection comparison and feedback status determination method is disclosed. The method is based on a non-invasive data-extraction system architecture, and uses an image processing unit to perform detection comparison on a cursor image shown on an operation screen outputted from a machine controller. The method includes steps of obtaining cursor foreground and background images set by a user, and selecting an algorithm to process the cursor foreground and background images to generate a cursor mask, and reading a cursor image and applying the cursor mask on the cursor image for pattern comparison, transmitting information of a comparison result and a cursor feedback status to a software control system, so as to provide a correction system to perform a cursor process program and check whether the movement of the cursor meet a position controlled by a feedback and correction system, thereby completing closed-loop control for the cursor.

Abstract: A cursor image detection comparison and feedback status determination method is disclosed. The method is based on a non-invasive data-extraction system architecture, and uses an image processing unit to perform detection comparison on a cursor image shown on an operation screen outputted from a machine controller. The method includes steps of obtaining cursor foreground and background images set by a user, and selecting an algorithm to process the cursor foreground and background images to generate a cursor mask, and reading a cursor image and applying the cursor mask on the cursor image for pattern comparison, transmitting information of a comparison result and a cursor feedback status to a software control system, so as to provide a correction system to perform a cursor process program and check whether the movement of the cursor meet a position controlled by a feedback and correction system, thereby completing closed-loop control for the cursor.

Abstract: The present invention provides a method of utilizing an air conditioner to control a thermal comfort level of an environment, wherein the air conditioner includes a plurality of environment factor adjusting devices. The method of the present invention reduces energy consumption of the air conditioner when utilizing the air conditioner to improve the thermal comfort level of an environment.

Abstract: The present invention provides a method of utilizing an air conditioner to control a thermal comfort level of an environment, wherein the air conditioner includes a plurality of environment factor adjusting devices. The method of the present invention reduces energy consumption of the air conditioner when utilizing the air conditioner to improve the thermal comfort level of an environment.