Improving the design of the tunneling shield cutting working body

Object of research. The article presents a variant of improving the design of the working body of the tunneling shield, namely, its cutting part. Research aims to confirm the performance of the proposed design using the method of solid 3D modeling in T-Flex CAD. Methodology. The working body of the tunneling shield has been improved by making changes to the design of the working surface of the rotor. Theoretical studies have been carried out to determine the strength characteristics of the proposed rotor design. The proposed rotor model was visualized using the T-Flex CAD software product. The advantages of the solid-state method of 3D modeling are that the mathematical model is endowed with the real physical properties of the object (weight, volume, material, surface area, etc.), and the technology of rapid prototyping allows you to get layouts of photorealistic images in the shortest possible time. Results and discussion. Based on the results of the data obtained in the course of theoretical studies, a comparative analysis of the strength characteristics of the basic and modernized models of the tunneling shield cutting working body was carried out. The studies carried out in T-Flex CAD have confirmed the functionality of the modernized design of the tunneling shield working body. An algorithm for calculating the strength characteristics of the proposed rotor design is presented. The algorithm is universal and can be used to calculate other designs of the tunneling shield working body. Conclusions. As a result of the research carried out, the strength characteristics of the rotor have been determined. Maximum values: displacement modulus – 2.875 · 10–5 m, equivalent stresses – 29.47 MPa, and safety factor for an equivalent stress is 9.446 · 106.

Parallel optimization of the ray-tracing algorithm based on the HPM model

This paper proposes a parallel computing analysis model HPM and analyzes the parallel architecture of CPU–GPU based on this model. On this basis, we study the parallel optimization of the ray-tracing algorithm on the CPU–GPU parallel architecture and give full play to the parallelism between nodes, the parallelism of the multi-core CPU inside the node, and the parallelism of the GPU, which improve the calculation speed of the ray-tracing algorithm. This paper uses the space division technology to divide the ground data, constructs the KD-tree organization structure, and improves the construction method of KD-tree to reduce the time complexity of the algorithm. The ground data is evenly distributed to each computing node, and the computing nodes use a combination of CPU–GPU for parallel optimization. This method dramatically improves the drawing speed while ensuring the image quality and provides an effective means for quickly generating photorealistic images.

Computer Eye-Tracking Model to Investigate Influence of the Viewer’s Perception of the Graphic Information

The goal is to study the visual perception of graphic composition of various styles. An original author's method of conducting an experiment has been developed, which includes the preparation of stimulus material, collecting data, and statistical algorithms to analyze parametric data. The stimulus materials were based on graphic images in the cubism and abstractionism styles as well as on photorealistic images. An eye-tracking equipment was used to record eye movement activity and collect experimental data. The statistical analysis of the parametric data of the observer's viewing pattern has revealed that the viewer’s perception of visual information is more effective by observers with art education. The results are of importance for developing effective training and test systems for operators, users, GUI developers, etc.

Variable photorealistic image synthesis for training dataset generation

Photorealistic rendering systems have recently found new applications in artificial intelligence, specifically in computer vision for the purpose of generation of image and video sequence datasets. The problem associated with this application is producing large number of photorealistic images with high variability of 3d models and their appearance. In this work, we propose an approach based on combining existing procedural texture generation techniques and domain randomization to generate large number of highly variative digital assets during the rendering process. This eliminates the need for a large pre-existing database of digital assets (only a small set of 3d models is required), and generates objects with unique appearance during rendering stage, reducing the needed post-processing of images and storage requirements. Our approach uses procedural texturing and material substitution to rapidly produce large number of variations of digital assets. The proposed solution can be used to produce training datasets for artificial intelligence applications and can be combined with most of state-of-the-art methods of scene generation.

FLIP

Image quality measures are becoming increasingly important in the field of computer graphics. For example, there is currently a major focus on generating photorealistic images in real time by combining path tracing with denoising, for which such quality assessment is integral. We present FLIP, which is a difference evaluator with a particular focus on the differences between rendered images and corresponding ground truths. Our algorithm produces a map that approximates the difference perceived by humans when alternating between two images. FLIP is a combination of modified existing building blocks, and the net result is surprisingly powerful. We have compared our work against a wide range of existing image difference algorithms and we have visually inspected over a thousand image pairs that were either retrieved from image databases or generated in-house. We also present results of a user study which indicate that our method performs substantially better, on average, than the other algorithms. To facilitate the use of FLIP, we provide source code in C++, MATLAB, NumPy/SciPy, and PyTorch.

CREATING AN OVER PRESSURE SENSOR METRAN-43 DI WITH THE KOMPAS-3D PROGRAM

This article describes the creation of a three-dimensional model of the overpressure sensor Metran-43 using the graphic editor COMPASS-v17, as well as photorealistic images in the program Artisan Rendering and created animation disassembly-Assembly of the device, allowing you to see the internal components of the product.

Designing and Evaluating a Virtual Patient Simulation—The Journey from Uniprofessional to Interprofessional Learning

“Ready to Practice?”(R2P) is a virtual patient simulation designed for undergraduate medical and pharmacy students. After initial prototyping, R2P developed into a screen-based virtual patient (VP) simulation with an intuitive interface using photorealistic images of people and places with speech bubbles and decision menus. We describe the design of the VP, findings from student experiences with the software, and the potential of VPs for interprofessional learning. We used a mixed methods study to assess students’ perceptions of the VP as a learning tool. Qualitative data were gathered using semi-structured interviews and observations, and quantitative data through the Readiness for Interprofessional Learning Scale (RIPLS) and an evaluation questionnaire. Overall, participants showed significantly improved RIPLS scores after participation in the simulation (78.78 to 82.25, p < 0.0001), including in the Positive Professional Identify domain (p < 0.001). Students also showed significant improvement in RIPLS scores in the Teamwork and Collaboration domain when pharmacy and medical students were working together in interprofessional pairs (40.75 to 43.00, p < 0.006) but not when working alone (n.s.). Five themes emerged from interviews where participants identified specific interprofessional insights into each other’s roles and skills. Students found the VP engaging and valuable for their learning and their understanding of teamwork.