Concerning the problem that automobile part recycling factories cannot achieve accurate grasping and thus affects production efficiency due to poor part detection under actual complex working conditions, a robotic grasping system based on improved Single Shot multibox Detector (SSD) algorithm was proposed to realize the tasks of part detection, classification, location and grasping, including detection, location and grasping functions of the target parts. First, the target parts were detected by the improved SSD model, obtaining the part location and class information. Second, through Kinect camera calibration and hand-eye calibration, the pixel coordinate system was transferred into robot world coordinate system to realize the location of parts in robot spatial coordinate system. Third, the target part grasping task was completed by robot positive and inverse kinematic modeling and trajectory planning. Finally, the validation experiments of the whole integrated system on part detection, classification, location and grasping were carried out. Experimental results show that under complex working conditions, the average part grasping success rate of the proposed system reaches 95%, which meets the actual production demand of part grasping.

Due to user revocability, the new data manager needs to verify the integrity of the former data manager's management data stored in the cloud server, which is obviously inevitable in reality. In order to solve this issue, an efficient privacy-preserving public auditing scheme for cloud storage scheme was proposed. Firstly, in the proposed scheme based on unidirectional proxy re-signature, the proxy re-signature key was generated by the current data manager's private key and the former public key, which did not leak any information, to realize transferring of ownership data caused by the users revocability securely. Secondly, it was proved that the proposed scheme could protect any malicious cloud server from generating the forged response proof which could pass the verification to cheat the Third Party Auditor (TPA). Moreover, the random masking technique was employed to prevent the curious TPA from revealing the primitive data blocks. Compared with the Padna scheme, even though the proposed scheme adds the new functions but its communication overhead in the process of auditing and computational cost are also lower than Panda's.

As surgeons do not have effective prediction on the the implant surgery for vocal cord paralysis, resulting in high rate of failure, the finite element method was used for preoperative simulation. Through Computed Tomography (CT) data of larynx, the 3D geometric model of vocal cords and glottis trachea was extracted by Mimics, and then imported into ANSYS-Fluent to simulate the vocal vibration mode and airflow dynamic coupling characteristics before and after implanted surgery. The experimental data and clinical statistics data were compared to prove the feasibility of the finite element analysis techniques for implant surgery simulation of vocal cord paralysis. The experimental result can provide support for the design of surgery program.