3D Textured Shape Recovery with Learned Geometric Priors

3D textured shape recovery from partial scans is crucial for many real-world applications. Existing approaches have demonstrated the efficacy of implicit function representation, but they suffer from partial inputs with severe occlusions and varying object types, which greatly hinders their application value in the real world. This technical report presents our approach to address these limitations by incorporating learned geometric priors. To this end, we generate a SMPL model from learned pose prediction and fuse it into the partial input to add prior knowledge of human bodies. We also propose a novel completeness-aware bounding box adaptation for handling different levels of scales and partialness of partial scans.Comment: 5 pages, 3 figures, 2 table

Analysis of thermal deformation of substrate of local induction brazed saw blade

In order to solve the problem of thermal deformation of brazed saw blade substrate under high temperature, the temperature, the microstructure and the stress-strain field of local induction brazed saw blade substrate were analyzed with the finite element software, and the factors affecting the deformation of saw blade substrate were studied. The results show that the phase transformation of the saw blade substrate is mainly distributed on the brazing working surface. After cooling to room temperature, three microstructures including ferrite, pearlite, bainite and trace martensite are obtained. When the scanning speed of the heat source increases, the deformation and the residual stress of the substrate increase. When the scanning speed increases from 0.25 mm/s to 2.00 mm/s, the thickness of the phase change layer decreases from 5.8 mm to 4.7 mm, the maximum deformation increases from 0.41 mm to 0.82 mm, and the residual stress increases from 482 MPa to 667 MPa. The test results are basically consistent with the simulation results

Analysis of the image of pion-emitting sources in the source center-of-mass frame

In this paper, we try a method to extract the image of pion-emitting source function in the center-of-mass frame of the source (CMFS). We choose identical pion pairs according to the difference of their energy and use these pion pairs to build the correlation function. The purpose is to reduce the effect of $\Delta E \Delta t$, thus the corresponding imaging result can tend to the real source function. We examine the effect of this method by comparing its results with real source functions extracted from models directly

Cost Comparison Based on Transformer Operating State Under Two Kinds of Inspection Strategies

Based on the analysis of traditional state maintenance strategy and big data-based state maintenance strategy, this paper builds a transformer state duration simulation model based on Monte Carlo method and builds an annual cost model based on the running state of the transformer. Finally, a typical case is selected to simulate a time series of 8760 hours of transformer operation under two operational inspection strategies, and the annual cost is calculated separately. The example shows that the annual cost of the transformer is lower under the big data-based inspection strategy

Dynamic Clustering-based Query Answering in Peer-to-Peer Systems

P2P computing has been employing in more and more application domains as the technology becomes mature. One popular and successful application area is file sharing. However, current file sharing systems support only or mainly keybased exact matching (e.g., Chord [27], CAN [25]) and keyword-based searching (e.g., Napster, Gnutella) for files discovery and location, which is not enough to meet the requirements of more advanced applications such as information retrieval and data management. In this paper, we propose a new query answering model for P2P applications, which is termed as clustering-based query answering (CBQA). In our definition, CBQA will retrieve the data objects that are in the same cluster of the query from the global dataset distributed over peers of a P2P system. Generally, CBQA may obtain more correct answers than similarity based query can, which means higher recall may be achieved. To implement the new query model, we first present a framework that support clustering based query answering, including general algorithms, lemmas and system architecture. Then we give three concrete algorithms for different clustering criteria, namely k-nearest-neighbor, distancebased, and density-based clustering, along with detailed analyses and discussions. Finally, implementation issues, especially dynamic neighbors selection and caching techniques to enable the scalability of our method are addressed. Theoretical analysis and preliminary experiments show that our method can guarantee to find desirable objects in the interested cluster with modest bandwidth overhead

Space Life Science of China

With the human space exploration activities, space life science is an emerging interdiscipline,which covers a wide range of researches. Based on our country＇s manned space station and recoverable satellite science experimental platform, the development of space life science research is very important to acquire new knowledge or new technological innovation, to give further services to the human space exploration activities,to improve the national economic and social development. Both ground-based and flight applied studies were continuously performed in the previous 2 years. Here, we review and summarize the researches on space life sciences contributed by Chinese scientists