Hybrid recommendation algorithm based on real-valued RBM and CNN.

With the unprecedented development of big data, it is becoming hard to get the valuable information hence, the recommendation system is becoming more and more popular. When the limited Boltzmann machine is used for collaborative filtering, only the scoring matrix is considered, and the influence of the item content, the user characteristics and the user evaluation content on the predicted score is not considered. To solve this problem, the modified hybrid recommendation algorithm based on Gaussian restricted Boltzmann machine is proposed in the paper. The user text information and the item text information are input to the embedding layer to change the text information into numerical vector. The convolutional neural network is used to get the latent feature vector of the text information. The latent vector is connected to rating vector to get the item and the user vector. The user vector and the item vector are fused together to get the user-item matrix which is input to the visual layer of Gaussian restricted Boltzmann Machine to predict the ratings. Some simulation experiments have been performed on the algorithm, and the results of the experiments proved that the algorithm is feasible.

Vision solution for an assisted puncture robotics system positioning.

Medical robotics and computer-assisted surgery are hotspots in the field of robotics and medicine, changing the essence of traditional surgery using a combination of robotic, image processing, and computer technologies. The present paper aimed to study the auxiliary puncture procedure using a robot based on binocular vision optical positioning technology that can be used in minimally invasive surgery for coordinate precision of skin markers. ZED binocular cameras were selected for image acquisition and a model was established based on Zhang's calibration. Moreover, a Hough circle detection algorithm was proposed for binocular stereo image feature extraction to obtain the marker points in three-dimensional space coordinates. Accurate marker coordinate information for a human 3D bone model was obtained, laying the foundation for further research regarding robot-assisted precise positioning technology for use in puncture surgery.