With the development of computer hardware and rendering methods, efficient and high-quality 3D rendering strategies have become the focus of current research. This paper takes hardware configuration and rendering methods as variables to explore the rendering effects of materials, textures, lights, accuracy, etc. of different 3D models. With Cycles rendering, LuxRender rendering, and Octane rendering as the rendering methods, multiple rendering strategies are formed on multiple clients such as servers and hosts. Through the comparative research of multi-strategy 3D rendering effects, the optimal strategy of model rendering is proposed, which integrates the rendering time, rendering effect, and rendering cost. Multi-strategy 3D rendering effect research can provide some ideas and solutions for current 3D rendering.
Since the study in the field of fusion has gradually developed toward the long-pulse experiment mode, long-pulse data has gradually become one of the main data types for pulsed experiments in the field of fusion. For long-pulse data, which is a kind of pulse-type data, it will be more difficult to transmit and store than short-pulse data because of its significant characteristics. In addition, in the design of data acquisition and control system (DACS) in fusion field, Experimental Physics and Industrial Control System (EPICS) has now gradually become the main framework of experimental control system to meet the diversity of devices and complexity of subsystems in large experimental system. However, due to the limitation of EPICS, its effectiveness in handling data transmission and storage under high speed data acquisition is not satisfactory. To solve the data transmission and storage under high-speed sampling, this paper proposes a data transmission and storage solution based on TCP/IP protocol and MDSplus database, which is designed with the concept of segmentation, i.e., data generated from experiments longer than 100 seconds are uploaded and stored in a segmented form. Currently, this system has been tested and applied, and the test result shows that the solution is feasible and the overall test system operates stably and reliably.
This paper mainly conducts a comparative study of body posture action feature extraction and recognition in three-dimensional (3D) space through motion capture technology and virtual reality technology. Firstly, this paper proposes a body posture feature extraction method in 3D space to obtain joint point data and conduct body posture feature extraction research. At the same time, this method is used for action recognition research, which solves the difficulty of traditional methods in 3D scene feature extraction and motion recognition. In addition, this paper proposes two action comparison methods in 3D space. One is a 'distance threshold method' that calculates the distance between bones in the form of joint points and bones, which can finally provide the effect of dynamic display of sliders; the other is the 'feature plane method' that calculates the detailed information based on different skeletal joint point planes, and finally provides a text display effect with detailed body posture difference values. Finally, combined with virtual reality technology, an application platform for body posture feature recognition and comparison is designed and implemented, which solves the problems of poor visualization effect and weak interaction of traditional methods.
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