Abstract: An intelligent system for controlling driving of an aircraft tow tractor by means of combination of voice and vision includes an audio transmission line, a voice recognition system, a visual recognition system, and a vehicle-mounted motion controller. According to the intelligent system, visual recognition is performed based on a belly-mounted anti-collision light on an aircraft, a taxi light, and the visual recognition system on an aircraft tow tractor, and the aircraft tow tractor is intelligently controlled by means of combination of voice recognition and the visual recognition; furthermore, the aircraft tow tractor is intelligently controlled by voices of flight crew via the audio transmission line, safety in a towing process is guaranteed by the visual recognition, and each step in the towing process is performed by means of a cross validation based on the voice recognition and the visual recognition.

Abstract: The present application belongs to the field of locomotive braking control, and relates to a locomotive braking control system and control method, including a brake cylinder equalizing pipe control system and a brake cylinder control system; wherein, the brake cylinder equalizing pipe control system can compare pre-control pressure of the brake cylinder and the pre-control pressure of the brake cylinder equalizing pipe, and output the higher one as the brake cylinder equalizing pipe pressure; and the brake cylinder control system can compare pre-control pressure of the brake cylinder and the brake cylinder equalizing pipe pressure, and output the higher one as the brake cylinder pressure to realize brake; the redundancy of the two control systems can also be realized.

Abstract: The present application belongs to the field of locomotive braking control, and relates to a locomotive braking control system and control method, including a brake cylinder equalizing pipe control system and a brake cylinder control system; wherein, the brake cylinder equalizing pipe control system can compare pre-control pressure of the brake cylinder and the pre-control pressure of the brake cylinder equalizing pipe, and output the higher one as the brake cylinder equalizing pipe pressure; and the brake cylinder control system can compare pre-control pressure of the brake cylinder and the brake cylinder equalizing pipe pressure, and output the higher one as the brake cylinder pressure to realize brake; the redundancy of the two control systems can also be realized.

Abstract: An intelligent system for controlling driving of an aircraft tow tractor by means of combination of voice and vision includes an audio transmission line, a voice recognition system, a visual recognition system, and a vehicle-mounted motion controller. According to the intelligent system, visual recognition is performed based on a belly-mounted anti-collision light on an aircraft, a taxi light, and the visual recognition system on an aircraft tow tractor, and the aircraft tow tractor is intelligently controlled by means of combination of voice recognition and the visual recognition; furthermore, the aircraft tow tractor is intelligently controlled by voices of flight crew via the audio transmission line, safety in a towing process is guaranteed by the visual recognition, and each step in the towing process is performed by means of a cross validation based on the voice recognition and the visual recognition.

Abstract: A computer-implemented method, computer program product and computing system for management of a pressure pipe network is provided. A processor retrieves a topology model of a pipe network. The processor retrieves one or more measurement expressions of the pressure pipe network. The processor determines a parameter list for a first measurement expression, wherein a first parameter of the parameter list represents a cutting point measurement device. The processor generates a first subsystem of the pipe network based, at least in part on, the first parameter.

Abstract: A computer-implemented method, computer program product and computing system for management of a pressure pipe network is provided. A processor retrieves a topology model of a pipe network. The processor retrieves one or more measurement expressions of the pressure pipe network. The processor determines a parameter list for a first measurement expression, wherein a first parameter of the parameter list represents a cutting point measurement device. The processor generates a first subsystem of the pipe network based, at least in part on, the first parameter.

Abstract: In an approach to determining a relative position for each computer of a group of computers within a wireless network to a computer within the wireless network, a computer receives a set of digital image files from each computer and aggregates the set of digital image files into a panoramic digital image file. The computer generates a network map depicting a position of each of the computers based on the panoramic digital image file. The computer determines a relative position map for at least one computer based on the network map and the panoramic digital image file, wherein the relative position map provides a location of each computer of the group of computers with respect to the at least one computer. The computer receives input from the at least one computer, the input using the relative position map to send data to one or more of the group of computers.

Abstract: In an approach to determining a relative position for each computer of a group of computers within a wireless network to a computer within the wireless network, a computer receives a set of digital image files from each computer and aggregates the set of digital image files into a panoramic digital image file. The computer generates a network map depicting a position of each of the computers based on the panoramic digital image file. The computer determines a relative position map for at least one computer based on the network map and the panoramic digital image file, wherein the relative position map provides a location of each computer of the group of computers with respect to the at least one computer. The computer receives input from the at least one computer, the input using the relative position map to send data to one or more of the group of computers.

Abstract: An approach to determine a relative position for each computer of a group of computers within a wireless network to a computer within the wireless network, the approach includes a computer receiving a set of digital image files from each computer of the group of computers. The approach includes a computer aggregating the set of digital image files into a panoramic digital image file. The approach includes a computer generating a network map depicting a position of each of the computers within the wireless network based, at least in part, on the panoramic digital image file. The method includes a computer determining a relative position map for at least one computer based, on the network map and the panoramic digital image file, wherein the relative position map provides a location of each computer of the group of computers within the wireless network with respect to the at least one computer.

Abstract: In an approach to determining a relative position for each computer of a group of computers within a wireless network to a computer within the wireless network, a computer receives a set of digital image files from each computer and aggregates the set of digital image files into a panoramic digital image file. The computer generates a network map depicting a position of each of the computers based on the panoramic digital image file. The computer determines a relative position map for at least one computer based on the network map and the panoramic digital image file, wherein the relative position map provides a location of each computer of the group of computers with respect to the at least one computer. The computer receives input from the at least one computer, the input using the relative position map to send data to one or more of the group of computers.

Abstract: A computer-implemented method, computer program product and computing system for management of a pressure pipe network is provided. A processor retrieves a topology model of a pipe network. The processor retrieves one or more measurement expressions of the pressure pipe network. The processor determines a parameter list for a first measurement expression, wherein a first parameter of the parameter list represents a cutting point measurement device. The processor generates a first subsystem of the pipe network based, at least in part on, the first parameter.

Abstract: A computer-implemented method, computer program product and computing system for management of a pressure pipe network is provided. A processor retrieves a topology model of a pipe network. The processor retrieves one or more measurement expressions of the pressure pipe network. The processor determines a parameter list for a first measurement expression, wherein a first parameter of the parameter list represents a cutting point measurement device. The processor generates a first subsystem of the pipe network based, at least in part on, the first parameter.

Abstract: In an approach to determining a relative position for each computer of a group of computers within a wireless network to a computer within the wireless network, a computer receives a set of digital image files from each computer and aggregates the set of digital image files into a panoramic digital image file. The computer generates a network map depicting a position of each of the computers based on the panoramic digital image file. The computer determines a relative position map for at least one computer based on the network map and the panoramic digital image file, wherein the relative position map provides a location of each computer of the group of computers with respect to the at least one computer. The computer receives input from the at least one computer, the input using the relative position map to send data to one or more of the group of computers.

Abstract: An apparatus for automatically selecting alert option of a communication device is provided. The apparatus includes a noise detection unit for collecting a current ambient noise, and generating a quantified value of the current ambient noise according to the current ambient noise collected; and a central processing unit (CPU), including a detecting module for detecting the communication signal from the receiver, enabling the noise detection unit to perform the corresponding function, and determining a volume level of the current ambient noise according to the quantified value of the current ambient noise from the noise detection unit; and a controlling module for selecting a current alert option of the communication device according to the volume level of the current ambient noise, and controlling the ringing unit and the vibrating unit of the communication device to perform corresponding functions according to the alert option selected.