Abstract: A laparoscopic image smoke removal method based on a generative adversarial network, and belongs to the technical field of computer vision. The method includes: processing a laparoscopic image sample to be processed using a smoke mask segmentation network to acquire a smoke mask image; inputting the laparoscopic image sample to be processed and the smoke mask image into a smoke removal network, and extracting features of the laparoscopic image sample to be processed using a multi-level smoke feature extractor to acquire a light smoke feature vector and a heavy smoke feature vector; and acquiring, according to the light smoke feature vector, the heavy smoke feature vector and the smoke mask image, a smoke-free laparoscopic image by filtering out smoke information and maintaining a laparoscopic image by using a mask shielding effect. The method has the technical effects of robustness and ability of being embedded into a laparoscopic device for use.

Abstract: A connector includes a male connector, a female connector and a rotating clamping structure. The male connector includes a first housing with multiple channels, the female connector includes a second housing with at least one positioning slot. The rotating clamping structure includes a third housing, multiple first positioning pins, multiple stoppers and multiple second positioning pins. The rotating clamping structure can realize the locking or separation of the male connector and the female connector.

Abstract: A robot for straightening double thin-wall section pipe with undesirably shaped cavities, includes two racks, a positioning component, a shaping component and a driving component. In operation, the double thin-wall section pipe is put in the positioning component, and the shaping component is used for shaping the pipe by the driving of the driving component. The robot improves the working efficiency, and is not only compact in structure design, stable in movement, precise in positioning and reliable in locking, but also convenient for disassembly and maintenance.

Abstract: Systems and methods for deriving classification rules from documents and a database using rule-based machine learning. The method includes extracting first variables from documents corresponding to an organization. The method further includes extracting second variables from a database corresponding to the organization. The method also includes filtering the extracted second variables based on at least one of null values, repeat variables, location variables, ID variables, or data variables. The method further includes deriving first classification rules based on the first variables using a rule-based machine learning algorithm. The method also includes calculating an accuracy of the derived first classification rules. The method also includes deriving second classification rules based on the first variables and the filtered second variables. The method further includes determining a suggested additional variable based on the derived second classification rules and the calculated accuracy.

Abstract: A robot for straightening double thin-wall section pipe with multi-cavity special-shaped, includes two racks, a positioning component, a shaping component and a driving component. The double thin-wall section pipe is located in the positioning component, and the shaping component is used for shaping the pipe by the driving of the driving component. The robot improves the working efficiency, and is not only compact in structure design, stable in movement, precise in positioning and reliable in locking, but also convenient for disassembly and maintenance.

Abstract: A connector includes a male connector, a female connector and a rotating clamping structure. The male connector includes a first housing with multiple channels, the female connector includes a second housing with at least one positioning slot. The rotating clamping structure includes a third housing, multiple first positioning pins, multiple stoppers and multiple second positioning pins. The rotating clamping structure can realize the locking or separation of the male connector and the female connector.

Abstract: A nanofriction power generation device with spiral vibrating balls and a buoy body thereof-includes an inner spiral barrel, an outer spiral barrel sleeved outside the inner spiral barrel, hollow balls between the two spiral barrels, an electric energy storage device contained in the inner spiral barrel, and a buoy barrel for containing the outer spiral barrel. The outer wall of the inner spiral barrel and the inner wall of the outer spiral barrel are respectively provided with first spiral tracks and second spiral tracks extending from one end to the opposite other end. The inner spiral barrel is in the outer spiral barrel, and the first spiral tracks and the second spiral tracks have a one-to-one correspondence and form spiral channels. Nanofriction electric generator films are attached to an outer surface of each hollow ball and an inner wall of each spiral channel.

Abstract: A nanofriction power generation device with spiral vibrating balls and a buoy body thereof-includes an inner spiral barrel, an outer spiral barrel sleeved outside the inner spiral barrel, hollow balls between the two spiral barrels, an electric energy storage device contained in the inner spiral barrel, and a buoy barrel for containing the outer spiral barrel. The outer wall of the inner spiral barrel and the inner wall of the outer spiral barrel are repectively provided with first spiral tracks and second spiral tracks extending from one end to the opposite other end. The inner spiral barrel is in the outer spiral barrel, and the first spiral tracks and the second spiral tracks have a one-to-one correspondence and form spiral channels. Nanofriction electric generator films are attached to an outer surface of each hollow ball and an inner wall of each spiral channel.