A New Method of 3D Facial Expression Animation

Animating expressive facial animation is a very challenging topic within the graphics community. In this paper, we introduce a novel ERI (expression ratio image) driving framework based on SVR and MPEG-4 for automatic 3D facial expression animation. Through using the method of support vector regression (SVR), the framework can learn and forecast the regression relationship between the facial animation parameters (FAPs) and the parameters of expression ratio image. Firstly, we build a 3D face animation system driven by FAP. Secondly, through using the method of principle component analysis (PCA), we generate the parameter sets of eigen-ERI space, which will rebuild reasonable expression ratio image. Then we learn a model with the support vector regression mapping, and facial animation parameters can be synthesized quickly with the parameters of eigen-ERI. Finally, we implement our 3D face animation system driving by the result of FAP and it works effectively

Multiobjective Optimization Design of Double-Row Blades Hydraulic Retarder with Surrogate Model

For the design of double-row blades hydraulic retarder involves too many parameters, the solution process of the optimal parameter combination is characterized by the large calculation load, the long calculation time, and the high cost. In this paper, we proposed a multiobjective optimization method to obtain the optimal balanced solution between the braking torque and volume of double-row blades hydraulic retarder. Moreover, we established the surrogate model for objective function with radial basis function (RBF), thus avoiding the time-consuming three-dimensional modeling and fluid simulation. Then, nondominated sorting genetic algorithm-II (NSGA-II) was adopted to obtain the optimal combination solution of design variables. Moreover, the comparison results of computational fluid dynamics (CFD) values of the optimal combination parameters and original design parameters indicated that the multiobjective optimization method based on surrogate model was applicable for the design of double-row blades hydraulic retarder

Motion Retargeting for the Hand Gesture

This paper presents a new technique for retargeting the sign language data captured from motion capture device to different characters with different sizes and proportions. Realistic and natural animations can be produced to express similar meanings to the original. The proposed method first defines many sensitive points on the human body and selects the key sensitive points through analyzing the importance of the sensitive points. Next a novel mapping method based on relative position is presented to adapt the original sensitive points to the target sensitive points. Finally we utilize an IK solver to realize the retargeting problem. Experimental results show that the proposed method dramatically improves the recognition rate about 30%

Evolution of Global Crude Oil Trade Network Structure and Resilience

Existing studies mainly focus on the evolutionary characteristics of the global crude oil trade network under a steady state, neglecting to analyze the competition and cooperation among countries regarding crude oil as a strategic resource from a spatial–geographical perspective. There needs to be more studies analyzing the impact of crude oil trade disruptions on the resilience of the whole network from the perspective of supply and demand shocks in different influential countries, thus promoting the sustainable development of the global economy and the transition to green energy. Based on the global crude oil trade data from 2007 to 2020, this paper examines the structural evolution of the trade network using a complex network approach and simulates the impact of disruptions on its resilience. Results indicate that the global crude oil trade network expands and becomes more closely connected, and five major trade groups have been formed. Further simulation reveals that the impact of national disruptions on global trade resilience is not linear. Moreover, the influence from core countries is significantly higher than peripheral countries

Zero–Waste Recycling of Fiber/Epoxy from Scrap Wind Turbine Blades for Effective Resource Utilization

The number of scrap wind turbines is expanding globally as the wind power industry develops rapidly. Zero–waste recycling of scrap wind turbine blades (WTB) is the key for wind power firms to achieve green and sustainable development on the premise of satisfying environmental protection criteria. In this work, the pyrolysis of fiber/epoxy composites obtained from scrap WTB in oxidizing inert atmospheres was investigated. Various characterization methods were employed to characterize the microstructure and chemical characteristics of the heat–treated fiber/epoxy and to reveal the pyrolysis mechanism. In addition, the heat–treated fibers/epoxy were used as reinforcing agents to investigate their impact on the elastic deformation of butadiene styrene rubber–based flexible composites, and the reinforcing mechanism was revealed. The results revealed that the constituents of fiber/epoxy composites were mostly fiberglass (SiO2, CaCO3) and cured epoxy resin, with covalent bonding being the interaction between the fiberglass and epoxy resin. The total weight of the epoxy resin in the fiber/epoxy composites was 22%, and the 11% weight loss was achieved at around 350 °C, regardless of the presence of oxygen; however, the features of heat–treated fibers/epoxy were associated with the pyrolysis atmosphere at a higher temperature. The pyrolysis products in inert atmospheres, with water contact angles of 58.8°, can considerably improve the tensile properties of flexible composites at the elastic stage. Furthermore, the flexible composite granules were prepared to plug large channels in sand–filled pipes, and the plugging rate had the potential to reach 81.1% with an injection volume of 5.0 PV. The plugging performance was essentially unaffected by water salinity, owing to the high stability of flexible composite granules in mineralized water. The findings of this study present a realistic route to the industrial application of fiber/epoxy, as well as a novel approach for encouraging the efficient use of scrap wind turbines on a large scale