Abstract: A computer for aiding determination of Obstructive Sleep Apnea (OSA) includes a storage device storing with a medical image and a central processing unit (CPU). The CPU executes a method for aiding determination of OSA. The method for aiding determination of OSA includes the following steps. The medical image is obtained. An upper airway model is established. A narrowest cross-section and a nasopharyngeal boundary cross-section are defined in the airway model. A cross-sectional area of the narrowest cross-section and a cross-sectional area of the nasopharyngeal boundary cross-section are calculated. A stenosis rate is calculated according to the cross-sectional area of the narrowest cross-section and the cross-sectional area of the nasopharyngeal boundary cross-section. The stenosis rate is provided. In addition, in the method for aiding determination of OSA, a respiratory flow field simulation may be further performed to obtain and provide a flow field pressure distribution of the upper airway model.

Abstract: The present invention provides a method of mobile image identification for flow velocity and the apparatus thereof. The present invention integrates laser-light module and mobile photographing devices such as smartphones, cameras, or tablet computers. After multiple laser spots are projected on the surface of flowing water, water-surface images including the laser spots are photographed continuously. Then the software program of image identification in the mobile photographing device performs calculations and coordinate conversion. According to the difference between multiple water-surface images taken continuously, the flow-velocity information of the water surface is given.

Abstract: The present invention relates to a method for measuring cracks remotely and the device thereof. First, multiple laser spots with known a shape are projected onto a remote wall and beside a crack. Then, by using geometric calculations, the relative coordinates of the laser spots on the wall and the real distance can be given and used as the reference length of the crack. Next, a camera is used for taking a picture of the remote crack along with the laser spots; the image identification technology is used for calculating the relevant parameters of the crack. Thereby, to acquire the parameters of the crack, a user needs not to be present at the site for measuring at a short distance or placing a reference object, and thus providing safety and convenience.

Abstract: A computer for assisting in determining the strength of fixing a craniofacial surgery patch comprises a storage device for storing a medical image and a central processing unit, the central processing unit carry out a method for assisting in determining the strength of fixing a craniofacial surgery patch. The method includes obtaining a medical image; establishing a skull model according to the medical image; receiving a patch setting command, and disposing a patch model on the skull model according to the patch setting command; generating an internal grid mesh data of the skull model disposed with the patch model; executing a biomechanical simulation of a patch structural strength according to the skull model disposed with the patch model, the internal grid mesh data and a boundary condition; and providing a stress distribution, a strain distribution or a displacement distribution of the patch model to assist in determining.

Abstract: The present invention relates to a method for measuring cracks remotely and the device thereof. First, multiple laser spots with known a shape are projected onto a remote wall and beside a crack. Then, by using geometric calculations, the relative coordinates of the laser spots on the wail and the real distance can be given and used as the reference length of the crack. Next, a camera is used for taking a picture of the remote crack along with the laser spots; the image identification technology is used for calculating the relevant parameters of the crack. Thereby, to acquire the parameters of the crack, a user needs not to be present at the site for measuring at a short distance or placing a reference object, and thus providing safety and convenience.

Abstract: The present invention relates to a multi-lens monitoring system for bed elevation around a pier according to the present invention comprises a container, a holder, a plurality of photographing units, and a processing module. The container is disposed on the pier; the holder is disposed inside the container; and the plurality of photographing units are disposed on the holder for photographing the bed under water and producing a monitoring image. The processing module is used for activating one of the plurality of photographing units for photographing the bed under water. The processing module also analyzes the monitoring image, gives the elevation variation of the bed, and transmits the elevation variation of the bed to a remote monitoring unit for real-timely monitoring and recording. During the monitoring process, the processing module will change activating one of the plurality of photographing units according to the monitoring image, and hence the electrical power can be saved.

Abstract: A computer for assisting in determining the strength of fixing a craniofacial surgery patch comprises a storage device for storing a medical image and a central processing unit, the central processing unit carry out a method for assisting in determining the strength of fixing a craniofacial surgery patch. The method includes obtaining a medical image; establishing a skull model according to the medical image; receiving a patch setting command, and disposing a patch model on the skull model according to the patch setting command; generating an internal grid mesh data of the skull model disposed with the patch model; executing a biomechanical simulation of a patch structural strength according to the skull model disposed with the patch model, the internal grid mesh data and a boundary condition; and providing a stress distribution, a strain distribution or a displacement distribution of the patch model to assist in determining.

Abstract: A probe monitoring system for riverbed elevation monitoring at bridge piers is revealed. The system includes a housing, a measuring rod, a moving member, a control module, a photographic unit and a sensing unit. The housing is fixed on the pier. Both the moving member for driving the measuring rod and the control module for control of the moving member are mounted in the housing. When the control module drives the measuring rod to move downward and the sensing unit on the bottom of the measuring rod approaches the riverbed, a sensing signal is sent to the control module. Thus the moving member stops moving the measuring rod and the photographic unit takes pictures of the measuring rod to generate an image. Then the riverbed elevation is obtained according to the image or the movement of the moving member and is sent to a remote monitor unit for real-time monitoring.

Abstract: A monitor system for monitoring riverbed elevation changes at bridge piers is revealed. The monitor system includes a container, a rail, a holder, a photographic unit, a processor and a transmission unit. The container is disposed at a pier under the water and the rail is mounted in the container. The holder is arranged at the rail and is moved on the rail. The photographic unit is disposed on the holder to capture a monitor image of a riverbed under the water. As to the processor, it processes the monitor image so as to learn elevation change of the riverbed under the water. By the transmission unit, the riverbed elevation change is sent to a remote monitor unit so as to get the riverbed elevation according to the riverbed elevation change. Thus the riverbed elevation change at the bridge pier is monitored in real time.

Abstract: A computer for aiding determination of Obstructive Sleep Apnea (OSA) includes a storage device storing with a medical image and a central processing unit (CPU). The CPU executes a method for aiding determination of OSA. The method for aiding determination of OSA includes the following steps. The medical image is obtained. An upper airway model is established. A narrowest cross-section and a nasopharyngeal boundary cross-section are defined in the airway model. A cross-sectional area of the narrowest cross-section and a cross-sectional area of the nasopharyngeal boundary cross-section are calculated. A stenosis rate is calculated according to the cross-sectional area of the narrowest cross-section and the cross-sectional area of the nasopharyngeal boundary cross-section. The stenosis rate is provided. In addition, in the method for aiding determination of OSA, a respiratory flow field simulation may be further performed to obtain and provide a flow field pressure distribution of the upper airway model.

Abstract: A probe monitoring system for riverbed elevation monitoring at bridge piers is revealed. The system includes a housing, a measuring rod, a moving member, a control module, a photographic unit and a sensing unit. The housing is fixed on the pier. Both the moving member for driving the measuring rod and the control module for control of the moving member are mounted in the housing. When the control module drives the measuring rod to move downward and the sensing unit on the bottom of the measuring rod approaches the riverbed, a sensing signal is sent to the control module. Thus the moving member stops moving the measuring rod and the photographic unit takes pictures of the measuring rod to generate an image. Then the riverbed elevation is obtained according to the image or the movement of the moving member and is sent to a remote monitor unit for real-time monitoring.

Abstract: The present invention relates to a multi-lens monitoring system for bed elevation around a pier according to the present invention comprises a container, a holder, a plurality of photographing units, and a processing module. The container is disposed on the pier; the holder is disposed inside the container; and the plurality of photographing units are disposed on the holder for photographing the bed under water and producing a monitoring image. The processing module is used for activating one of the plurality of photographing units for photographing the bed under water. The processing module also analyzes the monitoring image, gives the elevation variation of the bed, and transmits the elevation variation of the bed to a remote monitoring unit for real-timely monitoring and recording. During the monitoring process, the processing module will change activating one of the plurality of photographing units according to the monitoring image, and hence the electrical power can be saved.

Abstract: A monitor system for monitoring riverbed elevation changes at bridge piers is revealed. The monitor system includes a container, a rail, a holder, a photographic unit, a processor and a transmission unit. The container is disposed at a pier under the water and the rail is mounted in the container. The holder is arranged at the rail and is moved on the rail. The photographic unit is disposed on the holder to capture a monitor image of a riverbed under the water. As to the processor, it processes the monitor image so as to learn elevation change of the riverbed under the water. By the transmission unit, the riverbed elevation change is sent to a remote monitor unit so as to get the riverbed elevation according to the riverbed elevation change. Thus the riverbed elevation change at the bridge pier is monitored in real time.