Abstract:
PURPOSE: The cleaning effect is increased. The lifetime of the high pressure film is extended. The cumulative processing quantity is maximized. And the maintenance management cost can be reduced. CONSTITUTION: The osmosis back flushing method of the high pressure process of membrane filtration. In the high pressure film consisting of the polyamide system chemical, the osmosis back flushing method of the high pressure process of membrane filtration where the treated water is filtered to the pressure of 10 ~ 85bar.
Abstract:
A self modeling method of a 3D rotating symmetrical object and an apparatus thereof are provided to grasp the whole shape of an object by estimating the geometric shape of the object from partial data. The main axis of a 3D point cloud is estimated(S10). The 3D point cloud is divided into 3D points belonging to each plane. The center points of each plane are obtained. A center point cloud is obtained(S20). An intrinsic vector having the biggest eigenvalue is selected as a new main axis(S30). When the previous main axis and new main axis exist within a threshold value, the new main axis is selected as the direction vector of the center axis of the 3D object(S42).
Abstract:
PURPOSE: The lifetime of the high pressure film is extended. The cumulative processing quantity is maximized. The maintenance management cost can be reduced according to save the chemicals usage etc. Provided is the oil-and-fat chemistry cleaning solution and the high pressure membrane filtration equipment using method of the high pressure process of membrane filtration. CONSTITUTION: The oil-and-fat chemistry cleaning solution of the high pressure process of membrane filtration. In the high pressure film consisting of the polyamide system chemical, the oil-and-fat chemistry cleaning solution of the high pressure process of membrane filtration where the treated water is filtered to the pressure of 10 ~ 85bar.
Abstract:
A self modeling method of a 3D rotating symmetrical object and an apparatus thereof are provided to grasp the whole shape of an object by estimating the geometric shape of the object from partial data. The main axis of a 3D point cloud is estimated(S10). The 3D point cloud is divided into 3D points belonging to each plane. The center points of each plane are obtained. A center point cloud is obtained(S20). An intrinsic vector having the biggest eigenvalue is selected as a new main axis(S30). When the previous main axis and new main axis exist within a threshold value, the new main axis is selected as the direction vector of the center axis of the 3D object(S42).
Abstract:
A central information processing system and a method for a service robot having layered indoor information according to a recognition and reasoning level are provided to integrally manage information about an indoor space and objects therein in order to enable plural of service robots to share the indoor information by providing necessary indoor information to the service robots and receiving modified information from the service robots. A central information processing system and a method for a service robot includes a database(20), a broker unit, a spatial information manager(33), an object information manager(34), and a space & object reasoning unit(35). The broker unit includes at least one of interfaces(31) corresponding to each of the service robots. Each of the interfaces analyzes an information request of a corresponding robot, transforms a format of the requested information to a predetermined robot-readable format, and transmits the transformed information to the robot. The interface analyzes an information request from a corresponding service robot and transforms a format of the received information request to a predetermined format that can be processed in the central information processing system. On the contrary, the interface receives a result of the information request from the central information processing system and transforms a format of the result to a predetermined format analyzable by the service robot. The spatial information manager and the object information manager hierarchically compose information about an indoor space and objects therein according to a recognition/reasoning level and stores the layered information.