scholarly journals Embedded VR Video Image Control System in the Ideological and Political Teaching System Based on Artificial Intelligence

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Fengzhen Jia ◽  
Shiqiang Xu ◽  
Jiaofei Huo
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Control System ◽  
Performance Optimization ◽  
Control Algorithm ◽  
Detection Algorithm ◽  
Video Image ◽  
Teaching System ◽  
Multimedia Teaching ◽  
Video Images

With the increasing development of multimedia teaching, the combination of virtual reality (VR) and video image control has very attractive development prospects in ideological and political teaching, for example, the use of virtual technology in games and so on. However, most virtual reality environments are currently built, and the functional development of artificial intelligence multimedia teaching systems is not comprehensive. An artificial intelligence VR video image control system is constructed for the multimedia teaching system. This article analyzes the development of artificial intelligence multimedia teaching systems and compares the detection performance and efficiency of traditional methods and artificial intelligence multimedia VR ideological and political teaching. Research shows that, in the use of VR to control the images of ideological and political teaching, the average accuracy of these ten video images is 75.68%. This shows that the video image classification and detection algorithm model based on artificial intelligence in this paper can extract deeper and more abstract features to classify the target. The artificial intelligence VR video image control algorithm constructed in this paper can reduce the maximum failure rate by 49.16%, 61.02%, and 66.94%, respectively. Compared with the traditional algorithm, the artificial intelligence VR video image control algorithm constructed in this paper can reduce the storage access delay time of 10 different video images by an average of 15.93%, can obtain about 9.37% performance optimization, and can reduce the video image control time by 7.28% and 10.63%, respectively. For pictures, the artificial intelligence VR video image control system in this article can increase the performance by up to 28.49%.

scholarly journals SHADOW PROCESSING TECHNOLOGY OF AGRICULTURAL PLANT VIDEO IMAGE BASED ON PROBABLE LEARNING PIXEL CLASSIFICATION

2020 ◽  
Vol 60 (1) ◽  
pp. 201-210
Author(s):  
Cheng Yang ◽  
Ping Wang ◽  
Yan Bao
Keyword(s):  
Probability Learning ◽  
Detection Algorithm ◽  
Video Image ◽  
Processing Technology ◽  
Classification Method ◽  
Detection Accuracy ◽  
Pixel Classification ◽  
Agricultural Plant ◽  
Video Images ◽  
Collaborative Detection

In order to solve the problem of difficult pre-processing of crop video image shadows, a probable learning pixel classification method is proposed to study its processing technology. The algorithm effectively detects the shadow area by performing intelligent video collaborative detection on the shaded parts of the crop video sequence. Firstly, the cloud collaborative detection algorithm that can be widely used in agriculture was proposed. The video key frame was obtained and the background modeling algorithm with strong adaptability to crop illumination was applied to realize real-time detection of the target, so as to construct the crop pixel model. Finally, the proposed algorithm and the constructed model are applied to the processing of shadows of agricultural plant video images for experimental verification. The results show that in video frames 47, 194 and 258, the probable learning pixel classification method can be used to determine the shaded part of each frame, which can greatly improve the detection accuracy of crop shadows. The research in this paper shows that the probability learning pixel classification method can better enhance the shadow robustness and accuracy of crop video images.

Study on Virtual Reality Techniques Used in German Teaching

2013 ◽  
Vol 397-400 ◽  
pp. 2701-2704
Author(s):  
Yu Jia
Keyword(s):  
Virtual Reality ◽  
Multimedia Information ◽  
Simulation Study ◽  
Real World ◽  
Multimedia Data ◽  
System Implementation ◽  
Teaching System ◽  
Useful Knowledge ◽  
Multimedia Teaching ◽  
World Environment

Virtual Reality (VR) by simulation study for multimedia teaching system, which provides the user with a simulation of a real-world environment for users to derive useful knowledge. Virtual Reality direction of research prospects is very large, but the difficulty is very great. In this paper, university network multimedia teaching system implementation, mainly images and multimedia information how to synchronize voice problems, and more due to network dissemination of information arising from end to end demonstrations and presentations jitter problems. Articles for both network multimedia teaching system in the main problems are given to solve the problem of multimedia information synchronization solutions and receive multimedia data buffering strategy.

The application of artificial intelligence and virtual reality in the auxiliary teaching of American science fiction literature

2021 ◽  
pp. 1-10
Author(s):  
Jin Xu ◽  
Tong Li
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Science Fiction ◽  
Point Cloud ◽  
Nearest Neighbors ◽  
K Nearest Neighbors ◽  
Denoising Method ◽  
Virtual Technology ◽  
Teaching System ◽  
American Science

In order to improve the teaching effect of American science fiction literature, based on artificial intelligence virtual reality technology, this paper constructs an auxiliary teaching system of intelligent American science fiction literature. Moreover, this paper analyzes the time complexity and space complexity of constructing point cloud spatial topological relations and finding the nearest k neighboring points. Simultaneously, this paper uses CUDA to find k nearest neighbors on the GPU, analyzes the point cloud denoising technology, uses the KD-tree to construct the point cloud topology in the DBSCAN-based denoising method, searches for the k nearest neighbors to complete the mark of the core point and the boundary point. In addition, this paper combines artificial intelligence virtual technology and intelligent algorithms to construct the framework of the auxiliary teaching system of American science fiction literature, and analyze its functional modules. Finally, this paper designs experiments to verify the performance of the model. The research results show that the system constructed in this paper can meet the needs of auxiliary teaching of American science fiction literature.

ON COMPARATIVE ANALYSIS OF PERFORMANCE OPTIMIZATION METHODS OF MULTI-PUMP UNITS

2020 ◽  
pp. 23-28
Author(s):  
A.I. Glushchenko ◽  
M.Yu. Serov
Keyword(s):  
Energy Efficiency ◽  
Control System ◽  
Comparative Analysis ◽  
Performance Optimization ◽  
Optimization Methods ◽  
Online Optimization ◽  
New Approach ◽  
Advantages And Disadvantages ◽  
Analysis Of Performance

В статье рассматривается вопрос совершенствования системы управления параллельно-работающими насосными агрегатами с целью повышения энергоэффективности их работы. Проведено сравнение и выявление недостатков существующих методов решения рассматриваемой проблемы. Предложена идея нового подхода на базе онлайн оптимизации. The problem under consideration is improvement of the energy efficiency of a control system of parallel-running pump units. Known methods used to solve this problem are considered. Their advantages and disadvantages are shown. Finally, the idea of a new approach, which is based on online optimization, is proposed.

scholarly journals Application of Continuous Animation Production Technology in Gymnastics Multimedia Teaching

2016 ◽  
Vol 11 (09) ◽  
pp. 46
Author(s):  
Changhui Xia
Keyword(s):  
Production Technology ◽  
Hubei Province ◽  
Multimedia Technology ◽  
Teaching Technology ◽  
Teaching System ◽  
Practical Examination ◽  
Multimedia Teaching

to facilitate improvement of education and teaching modernization level in China, and promote maturity and development of multimedia teaching technology, this paper established continuous animation multimedia teaching system based on continuous animation production technology. Meanwhile, this paper took gymnastics teaching of 2015 gymnastics class in Hubei University of Arts and Science in Hubei province of China as the objects of experiment and explored teaching effect of this multimedia teaching system combined with continuous animation production technology. The results show that this multimedia teaching system combined with continuous animation production technology can significantly improve students’ theoretical and practical examination scores. Based on case study of application of continuous animation and multimedia technology in gymnastics teaching, this paper aims to make certain contributions to promotion and development of multimedia teaching technology.

scholarly journals Why a Virtual Assistant for Moral Enhancement When We Could have a Socrates?

2021 ◽  
Vol 27 (4) ◽  
Author(s):  
Francisco Lara
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
New Technologies ◽  
Personal Autonomy ◽  
Moral Enhancement ◽  
Moral Decisions ◽  
Educational Methodology ◽  
Better Than

AbstractCan Artificial Intelligence (AI) be more effective than human instruction for the moral enhancement of people? The author argues that it only would be if the use of this technology were aimed at increasing the individual's capacity to reflectively decide for themselves, rather than at directly influencing behaviour. To support this, it is shown how a disregard for personal autonomy, in particular, invalidates the main proposals for applying new technologies, both biomedical and AI-based, to moral enhancement. As an alternative to these proposals, this article proposes a virtual assistant that, through dialogue, neutrality and virtual reality technologies, can teach users to make better moral decisions on their own. The author concludes that, as long as certain precautions are taken in its design, such an assistant could do this better than a human instructor adopting the same educational methodology.

Research on the framework of university ideological and political education management system based on artificial intelligence

2021 ◽  
pp. 1-10
Author(s):  
Xuying Sun ◽  
Yu Zhang
Keyword(s):  
Artificial Intelligence ◽  
Political Theory ◽  
Outlier Detection ◽  
Management System ◽  
Detection Algorithm ◽  
Colleges And Universities ◽  
Ideological And Political Education ◽  
Political Education ◽  
Data Simulation ◽  
Artificial Intelligence Technology

The importance of the management of ideological and political theory courses in colleges and universities is objective to the importance of ideological and political theory courses. At present, the management of ideological and political theory courses in colleges and universities has big problems in both macro and micro aspects. This paper combines artificial intelligence technology to build an intelligent management system for ideological and political education in colleges and universities based on artificial intelligence, and conducts classroom supervision through intelligent recognition of student status. The KNN outlier detection algorithm based on KD-Tree is proposed to extract the state information of class students. Through data simulation, it can be known that the KD-KNN outlier detection algorithm proposed in this paper significantly improves the efficiency of the algorithm while ensuring the accuracy of the KNN algorithm classification. Through experimental research, it can be seen that the construction of this system not only clarifies the direction of management from a macro perspective, but also reveals specific methods of management from a micro perspective, and to a certain extent effectively solves the problems in the management of ideological and political theory courses in colleges and universities.

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