Abstract: This application provides an intelligent robot for cleaning and mending a net cage and a method of using the intelligent robot, including: a control system, a main body, an attraction module, a motion module, a cleaning module and a mending module. The main body includes a streamlined pressure casing, and a drive mechanism and a water ballast tank which are located in the pressure casing. The attraction module includes electromagnets which are symmetrically provided at a bottom of the pressure casing. The motion module includes first and second motion mechanisms which are symmetrically provided at opposite sides of the pressure casing. A traveling path of the first motion mechanisms is perpendicular to a traveling path of the second motion mechanisms. The intelligent robot achieves cleaning and mending for both sides of the net cage, and is simple to operate, safe, high-efficient, economical and convenient.

Abstract: A recovery device for an unmanned underwater vehicle (UUV) includes a first recovery component arranged on an unmanned ship and a second recovery component arranged on the UUV. Two magnets are provided on an end of the first recovery component and an end of the second recovery component which are opposite to each other, respectively. A first cable of the unmanned ship is provided on an end of the first recovery component away from the magnet, and a second cable is provided on an end of the second recovery component away from the magnet. A thruster is provided on a side of the first recovery component. The UUV is recovered using the unmanned ship through the recovery components connected to the cables, which allows the locating and navigation errors to a large extent.

Abstract: A recovery device for an unmanned underwater vehicle (UUV) includes a first recovery component arranged on an unmanned ship and a second recovery component arranged on the UUV. Two magnets are provided on an end of the first recovery component and an end of the second recovery component which are opposite to each other, respectively. A first cable of the unmanned ship is provided on an end of the first recovery component away from the magnet, and a second cable is provided on an end of the second recovery component away from the magnet. A thruster is provided on a side of the first recovery component. The UUV is recovered using the unmanned ship through the recovery components connected to the cables, which allows the locating and navigation errors to a large extent.

Abstract: Disclosed is an energy-saving bidirectional ship lift by gravity balancing, including: a ship lift body. A first support is provided in a middle of the ship lift body. A second support is provided at a side of the first support. A third support is provided at the other side of the first support. A space between the second support and the first support forms a first shaft. A space between the first support and the third support forms a second shaft. A first ship-carrying chamber and a second ship-carrying chamber are respectively provided in the first shaft and the second shaft to allow two ships to be transported at the same time. An entry water tank and an exit water tank are provided at two sides of each ship-carrying chamber to adjust the weight of the two ship-carrying chambers.

Abstract: Disclosed is an energy-saving bidirectional ship lift by gravity balancing, including: a ship lift body. A first support is provided in a middle of the ship lift body. A second support is provided at a side of the first support. A third support is provided at the other side of the first support. A space between the second support and the first support forms a first shaft. A space between the first support and the third support forms a second shaft. A first ship-carrying chamber and a second ship-carrying chamber are respectively provided in the first shaft and the second shaft to allow two ships to be transported at the same time. An entry water tank and an exit water tank are provided at two sides of each ship-carrying chamber to adjust the weight of the two ship-carrying chambers.

Abstract: This application provides an intelligent robot for cleaning and mending a net cage and a method of using the intelligent robot, including: a control system, a main body, an attraction module, a motion module, a cleaning module and a mending module. The main body includes a streamlined pressure casing, and a drive mechanism and a water ballast tank which are located in the pressure casing. The attraction module includes electromagnets which are symmetrically provided at a bottom of the pressure casing. The motion module includes first and second motion mechanisms which are symmetrically provided at opposite sides of the pressure casing. A traveling path of the first motion mechanisms is perpendicular to a traveling path of the second motion mechanisms. The intelligent robot achieves cleaning and mending for both sides of the net cage, and is simple to operate, safe, high-efficient, economical and convenient.

Abstract: A computer-implemented method of training, using a computer log file, an application error prediction engine to identify one or more application errors includes parsing the computer log file into a plurality of data sets. Each data set is associated with a unique computing session having a session identifier and ending in an application or. The method also includes extracting, from each data set, values for a specified set of parameters in each data set. The method also includes encoding the extracted values for each data set into a corresponding data structure. The method also includes generating, for each data structure, a corresponding vector, the corresponding vectors collectively forming a matrix. The method also includes calculating, based on the matrix, a set of clusters, each cluster corresponding to a known error type, the set of clusters used to create a model used to identify new error types.

Abstract: A computer-implemented method of training, using a computer log file, an application error prediction engine to identify one or more application errors includes parsing the computer log file into a plurality of data sets. Each data set is associated with a unique computing session having a session identifier and ending in an application or. The method also includes extracting, from each data set, values for a specified set of parameters in each data set. The method also includes encoding the extracted values for each data set into a corresponding data structure. The method also includes generating, for each data structure, a corresponding vector, the corresponding vectors collectively forming a matrix. The method also includes calculating, based on the matrix, a set of clusters, each cluster corresponding to a known error type, the set of clusters used to create a model used to identify new error types.