Stage performance layout design based on artificial intelligence technology

2021 ◽  
pp. 1-7
Author(s):  
Gelang Li
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Directed Graph ◽  
Design Method ◽  
Layout Design ◽  
Motion Path ◽  
Filtering Algorithm ◽  
Artificial Intelligence Technology ◽  
Stage Performance ◽  
Target Path

The main purpose of stage performance arrangement is to improve the audience’s satisfaction with the stage performance. For this purpose, the stage performance arrangement design method based on artificial intelligence technology was explored. In the process of stage performance action retrieval, the offline link uses the method of frame distance definition based on quaternion in artificial intelligence technology to construct the structure of motion database digraph; the real-time link determines the corresponding vertex and edge in the digraph. According to the vertices and edges in the directed graph, the performer’s trajectory was determined, and the multi-resolution filtering algorithm in artificial intelligence technology was used to extract the motion path in the performer’s trajectory. The target path of stage performance arrangement was obtained by mapping the performer’s motion path through zoom processing. Based on the goal path, by arranging the control position of the performer’s root joint and correcting the direction of the performer, the movement track of the performer in the stage performance process was reconstructed, and the stage performance layout design was realized by combining with the position arrangement of the stage performance motion segment. The experimental results show that the method can accurately plan the performers’ path and improve the user’s satisfaction with the stage performance.

Artificial intelligence model for real-time monitoring of ideological and political teaching system

2020 ◽  
pp. 1-10
Author(s):  
Ying Luo
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Problem Behaviors ◽  
Control Experiment ◽  
Real Time Monitoring ◽  
Model Function ◽  
Monitoring Equipment ◽  
Information Monitoring ◽  
Function Modules ◽  
Artificial Intelligence Technology

In ideological and political teaching, students have more serious problem behaviors in the classroom, including distracted, dazed, inattentive, and sleeping. In order to improve the efficiency of ideological and political teaching, based on artificial intelligence technology, this paper constructs a real-time monitoring system for ideological and political classrooms based on artificial intelligence algorithms, and builds model function modules according to the actual needs of ideological and political teaching monitoring. Moreover, this study makes reasonable calculations on the information monitoring and information transmission parts and installs a different number of monitoring equipment in different fixed locations according to the needs of signal monitoring. In addition, this paper designs a control experiment to study the system performance and verify the parameters from multiple aspects. The research results show that the system model constructed in this paper is stable in ideological and political teaching and has certain effects.

Application of artificial intelligence in university sports risk recognition and identification

2020 ◽  
pp. 1-12
Author(s):  
Ju-An Wang ◽  
Shen Liu ◽  
Xiping Zhang
Keyword(s):  
Artificial Intelligence ◽  
Risk Factors ◽  
Real Time ◽  
Risk Mitigation ◽  
Time Data ◽  
Teaching Preparation ◽  
Data Store ◽  
Teacher Factors ◽  
Risk Sources ◽  
Artificial Intelligence Technology

This article is based on artificial intelligence technology to recognize and identify risks in college sport. The application of motion recognition technology first need to collect the source data, store the collected data in the server database, collect the learner’s real-time data and return it to the database to achieve the purpose of real-time monitoring. It is found that in the identification of risk sources of sports courses, there are a total of 4 first-level risk factors, namely teacher factors, student factors, environmental factors, and school management factors, and a total of 15 second-level risk factors, which are teaching preparation, teaching process, and teaching effect. When the frequency of teaching risks is low, the consequence loss is small. When the frequency of teaching risks is low, the consequences are very serious. Risk mitigation is the main measure to reduce the occurrence of teaching risks and reduce the consequences of losses.

Overview of Intelligent Design on Mold

2012 ◽  
Vol 459 ◽  
pp. 394-397
Author(s):  
Bin Wang ◽  
Jian Jun Chen ◽  
Jie Tao
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Design ◽  
Knowledge Engineering ◽  
Design Method ◽  
Mold Design ◽  
Engineering Technology ◽  
Knowledge Based ◽  
Knowledge Reasoning ◽  
Artificial Intelligence Technology ◽  
Development Tendency

Applying Artificial Intelligence technology on mold design can help realize the design automation of mold. Because knowledge-based engineering is an effective intelligent design method, the paper systematically introduced the application and development of knowledge representation, knowledge reasoning, knowledge acquisition and other key technologies of knowledge engineering technology used in mold design field. Finally, the development tendency of mold design based on artificial intelligence was analyzed in detail

Artificial intelligence based on effectiveness of inverted classroom teaching of college sports

2020 ◽  
pp. 1-11
Author(s):  
Jianqin Cheng ◽  
Xiaomeng Wang
Keyword(s):  
Artificial Intelligence ◽  
Physical Education ◽  
Real Time ◽  
Visual Analysis ◽  
Analytical Framework ◽  
Colleges And Universities ◽  
Classroom Teaching ◽  
Teaching Behaviors ◽  
Inverted Classroom ◽  
Artificial Intelligence Technology

This study takes the effectiveness analysis of inverted classroom teaching in colleges and universities as a breakthrough point, and combines artificial intelligence technology with the analysis method of inverted classroom teaching in colleges and universities to enrich the existing methods for analyzing, the behavior of inverted classroom teaching in colleges and universities to realize the effectiveness of inverted classroom teaching in colleges and universities analysis. This research first constructs an analytical framework for the teaching behaviors of college physical education inverted classrooms based on artificial intelligence technology, which consists of observation dimension and the evaluation dimension. In order to further test the scientifically and operability of the analytical framework, taking emotion recognition as an example, practical operations are combined with specific examples to obtain visual analysis results. This study expands the dimension and depth of analysis of the behavior of inverted sport in classroom teaching in sport inversion colleges and universities, and has obvious advantages in saving manpower and real-time visual display. Through the analysis of the effectiveness of physical education inverted classroom teaching in sports inversion colleges and universities through artificial intelligence technology, the use of technology to participate in the analysis of physical education inverted classroom teaching behaviors in sports inverted colleges and universities, shorten the evaluation time, expand the evaluation dimension, improve the evaluation efficiency, achieve real-time feedback, real-time attention to classroom effects. Effectively regulating the inverted classroom teaching behavior of college physical education can promote the cultivation of teachers’ professional abilities, scientifically and accurately improve and correct teaching problems, and improve the quality of education and teaching. Eventually, students will achieve comprehensive self-evaluation of students, and promote personalized and standardized growth of students.

scholarly journals Specific features of the use of artificial intelligence in the development of the architecture of intelligent fault-tolerant radar systems

2021 ◽  
pp. 063-075
Author(s):  
M. Коsovets ◽  
◽  
L. Tovstenko ◽  
◽  
Keyword(s):  
Artificial Intelligence ◽  
Operating System ◽  
Real Time ◽  
Fault Tolerant ◽  
System Level ◽  
Internal Factors ◽  
Radar Systems ◽  
Artificial Intelligence Technology ◽  
Dependable Computing ◽  
Architecture Development

The problem of architecture development of modern radar systems using artificial intelligence technology is considered. The main difference is the use of a neural network in the form of a set of heterogeneous neuromultimicroprocessor modules, which are rebuilt in the process of solving the problem systematically in real time by the means of the operating system. This architecture promotes the implementation of cognitive technologies that take into account the requirements for the purpose, the influence of external and internal factors. The concept of resource in general and abstract resource of reliability in particular and its role in designing a neuromultimicroprocessor with fault tolerance properties is introduced. The variation of the ratio of performance and reliability of a fault-tolerant neuromultimicroprocessor of real time with a shortage of reliability resources at the system level by means of the operating system is shown, dynamically changing the architectural appearance of the system with structural redundancy, using fault-tolerant technologies and dependable computing.

scholarly journals Intonation Characteristics of Singing Based on Artificial Intelligence Technology and Its Application in Song-on-Demand Scoring System

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
E. Wei
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Scoring System ◽  
Ant Colony Algorithm ◽  
Scoring Function ◽  
On Demand ◽  
Hit Rate ◽  
Artificial Intelligence Technology ◽  
Mvc Mode ◽  
Retrieval Engine

With the continuous progress of my country’s cultural industry, how to apply artificial intelligence technology to song on demand has become an issue of concern. This research mainly discusses the research of singing intonation characteristics based on artificial intelligence technology and its application in song-on-demand scoring system. This paper uses the combination of ant colony algorithm and DTW algorithm to measure the similarity between speech signals with the average distortion distance, so as to expect accurate recognition results. The design of the song-on-demand scoring function module uses a combination of MVC mode and command mode based on artificial intelligence technology. The view component in the MVC mode is mainly used to display the content that the user needs to sing and realize the interaction with the user. The singer selects a song to start playing, and the scoring terminal device queries the music library server for song information according to the song number, then starts playing the song through the FTP file sharing service according to the audio file path in the song information, and at the same time displays the song on the display according to the timeline Show song and pitch information. The singer sings according to the screen prompts. The microphone collects the voice signal and transmits it to the scoring terminal. After the scoring algorithm is calculated, the result is fed back to the screen in real time. The singer can view his singing status in real time and make corresponding adjustments to obtain a higher score. After the singing, the scoring terminal will display the final result on the screen to inform the user and upload the singing record to the server for recording. In the tested on-demand retrieval engine, the average hit rate of the top 3 has reached more than 90% under various humming methods, basically maintaining the high hit rate characteristics of the original retrieval engine. The system designed in this research helps to effectively improve the singing level.

scholarly journals Combining Cloud Computing and Artificial Intelligence Scene Recognition in Real-time Environment Image Planning Walkable Area

2020 ◽  
Vol 5 (1) ◽  
pp. 10-17
Author(s):  
Jia-Shing Sheu ◽  
Chen-Yin Han
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Object Detection ◽  
Real Time ◽  
Scene Recognition ◽  
Obstacle Detection ◽  
Cleaning Robot ◽  
Artificial Intelligence Technology ◽  
Time Utilization ◽  
Environmental Image

This study developed scene recognition and cloud computing technology for real-time environmental image-based regional planning using artificial intelligence. TensorFlow object detection functions were used for artificial intelligence technology. First, an image from the environment is transmitted to a cloud server for cloud computing, and all objects in the image are marked using a bounding box method. Obstacle detection is performed using object detection, and the associated technique algorithm is used to mark walkable areas and relative coordinates. The results of this study provide a machine vision application combined with cloud computing and artificial intelligence scene recognition that can be used to complete walking space activities planned by a cleaning robot or unmanned vehicle through real-time utilization of images from the environment.

scholarly journals Artificial Intelligence Markup Languange for Interactive Service HR Department

2019 ◽  
Vol 8 (12) ◽  
pp. 2180-2186
Keyword(s):  
Artificial Intelligence ◽  
Design Method ◽  
Interactive Media ◽  
Unified Modeling Language ◽  
Language Design ◽  
Modeling Language ◽  
Unified Modeling ◽  
Artificial Intelligence Technology ◽  
Information And Communication ◽  
Interactive Service

Along with the development of information and communication technology systems in the era of free digitalization, people are asking for comfort and convenience by supporting their activities. One of them is easy to find artificial intelligence technology in various ways to support human activities. Artificial intelligence technology or often called Artificial Intelligence (AI) can be processed into various forms so that according to the adjusted method. Application of Artificial Intelligence Markup Language (AIML) with UML (Unified Modeling Language) design as an interactive media for personnel and employee services. The UML (Unified Modeling Language) design method is expected to help the personnel department in providing information to employees at PT. Dimensions of Indonesian Data. The information collected will be made into frequently asked questions and then adjusted to the AIML pattern.

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