VISUALIZATION TECHNOLOGY OF AUGMENTED REALITY OBJECTS, DEPENDING ON GEOINFORMATIONAL DATA

Отображение навигационной информации в виде проекции на лобовое стекло автомобиля или стекло мотошлема обеспечивает ее восприятие водителем без переключения внимания с дороги на приборную панель, тем самым повышая безопасность дорожного движения. Используемые в настоящее время технологии визуализации информации для навигационного оснащения автомобиля или мотоцикла достаточно дороги и мало распространены, поэтому создание простого и недорогого в разработке программного обеспечения с открытым кодом, повышающего эффективность обработки и отображения информации, представляется актуальным. Предложена архитектура построения подобной системы навигации с применением технологии подсказок водителю в виде объектов дополненной реальности и использованием открытых геоинформационных сервисов. Рассмотрены применяемые в технологии структуры и типы данных, а также возможный набор аппаратных средств визуализации навигационной информации. Алгоритмы визуализации динамических объектов дополненной реальности и обработки геоданных реализованы в программном коде на языке Python. Разработан интерактивный интерфейс, обладающий интегрированным эффектом от совмещения преимуществ навигационных систем и сервисов геоинформационных данных. Приведены результаты тестирования работы кода при визуализации направления движения по заданному маршруту в режиме реального времени Displaying navigation information in the form of a projection onto the windshield of a car or the glass of a motorcycle helmet ensures its perception by the driver without switching attention from the road to the dashboard, thereby increasing road safety. The currently used information visualization technologies for the navigation equipment of a car or motorcycle are quite expensive and not widely used, therefore, the creation of simple and inexpensive open-source software that increases the efficiency of information processing and display seems to be relevant. The article proposes an architecture for building such a navigation system using the technology of prompting the driver in the form of augmented reality objects and using open geoinformation services. We considered the structures and types of data used in technology, as well as a possible set of hardware for visualization of navigation information. We implemented algorithms for visualization of dynamic objects of augmented reality and processing of geodata in the program code in the Python language. We developed an interactive interface that has an integrated effect of combining the advantages of navigation systems and geoinformation data services. We give the results of testing the code when visualizing the direction of movement along a given route in real time

Visual Dynamic Simulation Model of Unstructured Data in Social Networks

Social networks contain a large amount of unstructured data. To ensure the stability of unstructured big data, this study proposes a method for visual dynamic simulation model of unstructured data in social networks. This study uses the Hadoop platform and data visualization technology to establish a univariate linear regression model according to the time correlation between data, estimates and approximates perceptual data, and collects unstructured data of social networks. Then, the unstructured data collected from the original social network are processed, and an adaptive threshold is designed to filter out the influence of noise. The unstructured data of social network after feature analysis are processed to extract its visual features. Finally, this study carries out the Hadoop cluster design, implements data persistence by HDFS, uses MapReduce to extract data clusters for distributed computing, builds a visual dynamic simulation model of unstructured data in social network, and realizes the display of unstructured data in social network. The experimental results show that this method has a good visualization effect on unstructured data in social networks and can effectively improve the stability and efficiency of unstructured data visualization in social networks.

Properties of the compressibility and transport motion in wall-bounded turbulent flows at Mach 8

The compressibility effect and transport motion in highspeed turbulent boundary layer (TBL) is a fundamental problem because they dominate the average and statistical characteristics. Using the statistical methods and flow visualization technology, flat-plate TBLs at [Formula: see text] with high- and low-wall temperatures, [Formula: see text] and 1.9, are investigated based on the direct numerical simulation (DNS) datasets. Compared with previous studies, this study considers relative higher Mach number and strong cold wall temperature condition at the same time. First, the turbulent Mach number and turbulent intensity show that the compressibility effects are enhanced by the cooling process. Second, the high-order statistical moments and structure parameters confirm cold wall that causes stronger compressibility and the corresponding increased intensities of local streamwise and wall-normal transport motions. Finally, for uncovering the relationship between the compressibility effect and turbulent transport, more in-depth visualization analyses of velocity streaks are performed. It is found that ‘knot-like’ structures are generated when cooling the wall, and they lead to stronger intermittent, which results in the rapid increase of local compressibility effect and the wall-normal transport motion. Our research sheds light on providing a theoretical basis for further understanding the compressibility effects of TBL at high Mach number.

Visual Data Analysis Technology Based on Data Center

Today, people are in an information explosion society, and visualization technology(VT) is an inevitable product of the development of the information society. With the emergence of multimedia products such as computers, networks, and communications, humans are paying more and more attention to data processing. Many countries in the world have already begun research in this area and have achieved remarkable results. VT is a core part of data analysis, also known as information processing and storage technology. It has a very extensive and important application in the field of data management. However, because the key information hidden in the data is often immersed in the massive data, it is necessary to filter the data information efficiently, and the visualization data analysis technology is a crucial part. This article adopts the experimental analysis method, which aims to provide a new method to solve the problems of traditional technology and the challenges that may arise in the future by further understanding the existing visual data analysis technology and development trend. According to the research results, the recognition rate of the optimized color visualization features under different classifiers is higher than that of the original emotional features. It can be seen that visual analysis technology is not limited to data sets with physical meaning, but can also be applied to abstract feature sets such as emotional features.

Art Product Design and VR User Experience Based on IoT Technology and Visualization System

Based on the Internet of Things technology, this paper analyzes the concept and basic characteristics of visualization technology and builds a visualization digital art product information system based on VRML virtual reality technology. This article first explains the background and significance, analyzes the research status at home and abroad, introduces the application of virtual realization technology, and puts forward the technical route and main research content on this basis. After field inspection of art products, the system was analyzed according to the actual situation. After analyzing the needs and goals of the system, the overall structure of the system was proposed. Under the overall framework, this paper designs the system and designs the system’s visualization and real-time interaction modules. At the same time, combined with VRML technology to realize the visual 3D modeling of virtual art products, we establish the 3D model of the entire art product. Users can choose between role roaming and camera roaming. Finally, we made a summary statement to the full text and looked forward to the application prospects and development trends of information visualization technology in digital art products. During the experiment, by calling the HTC method in the Unity 3D system, this article uses the Unity 3D engine to implement UI scene loading and VR rendering technology optimization and realizes design knowledge through the integration of art product design models and IoT data interactive functions and dynamic loading of scenes. The effect of the model on the quality prediction is analyzed through experiments. The results show that the performance of the former is better than the latter two models, and it has a good performance on unbalanced data processing, which verifies the performance and effectiveness of the algorithm model.

A Method for the Definition of Immunological Non-response to Antiretroviral Therapy Based on Review Analysis and Supervised Classification Model

BackgroundImmunological non-response (INR) accelerated the progression of AIDS disease and brought serious difficulties to the treatment of HIV-1 infected people. The current definition of INR lacked a credible consensus, which affected the diagnosis, treatment and scientific research of INR. MethodWe systematically analyzed the open source INR related references, used visualization techniques and machine learning classification models to propose the features, models and criteria that define INR. ResultWe summarized some consensus on the definition of INR. Among the features that defined INR, CD4+ T-cell absolute number and ART time were the best feature to define INR . The supervised learning classification model had high accuracy in defining INR, and the support vector machine (SVM) had the highest accuracy in the commonly used supervised classification learning model. Based on supervised learning model and visualization technology, we proposed some criteria that could help to reach a consensus on INR definition. ConclusionsThis study provided consensus, features, model and criteria for defining INR.

Evaluating the Anxiety and Adjustment of Physical Education Teachers Implementing Flipped Class Based on Data Visualization Technology

Data visualization technology uses graphics and images to intuitively express the influence of teachers' implementation of flipped physical education. The sample comes from a flipped physical education classroom conducted by 130 physical education teachers (N=130, age 28-55) from 6 university sports departments in China. The research results show that gender, teaching age, and education level have a greater impact on teachers' implementation of flipped physical education classes, and there are significant differences in anxiety levels. During the COVID-19 period, how to implement physical education has caused a lot of troubles and concerns. Teachers generally believed that they had lost their status as physical education teachers, and very worried about how toimplement physical education In quarantine state. However, after a period of trying to flip physical education, teachers’ attitudes have changed significantly. Most physical education teachers hold a positive attitude. This is because their worries and confusion about flipping the physical education classroom transition to knowing the reason, and increasing the awareness and initiative of physical education teachers in teaching.

Visual Analysis Algorithm or Sports Injury Intervention Effect from the Perspective of Sports Biomechanics

Using visualization technology to judge the effect of sports injury intervention under the key parts of sports injury is a cutting-edge technology. On this basis, the visual analysis algorithm of sports injury intervention effect from the perspective of sports biomechanics is proposed. On the basis of analyzing the characteristics of sports biomechanics injury, real-time monitoring of the change of sports injury posture was carried out, and the intervention information was visualized to make up for the defects of sports injury intervention, effectively identify potential injuries and take corresponding preventive measures. The simulation results show that the visual analysis algorithm of sports injury intervention effect from the perspective of sports biomechanics can effectively improve the accuracy and intervention effect of sports injury location judgment, and can effectively divide the spatial distribution of the medium in the injured part, reduce the damage probability and degree, and provide guarantee for the occurrence of potential sports.