scholarly journals Artificial Intelligence in Repairing Meniscus Injury in Football Sports with Perovskite Nanobiomaterials

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Wei Wang
Keyword(s):  
Artificial Intelligence ◽  
Healing Rate ◽  
Age Of Onset ◽  
Rapid Development ◽  
Biological Characteristics ◽  
Special Equipment ◽  
Meniscus Injury ◽  
Artificial Intelligence Technology ◽  
Meniscus Injuries ◽  
Support Phase

Knee meniscus injuries are more likely to occur in young adults in clinical practice, and their lower age of onset and greater impact on joint function after injury also put forward higher requirements for the treatment and rehabilitation of meniscus injuries. With the rapid development of artificial intelligence technology and arthroscopic minimally invasive technology, arthroscopic meniscus plasty and perovskite nanobiomaterial repair have gradually replaced the previous open meniscus surgery of the knee joint and has become the main method of meniscus injury treatment, and the perovskite nanobiomaterial repair technique that incorporates artificial intelligence technology is also gradually being applied. Therefore, this article studies the role of perovskite nanobiomaterials in the repair of meniscus injuries in football sports and analyzes the biological characteristics of the inner and outer meniscus to provide help to improve the healing rate of meniscus injuries. The study selected six male meniscus-injured patients (meniscus injuries caused by football sports) and obtained six injured menisci. The same cross section of the same part of the meniscus was analyzed inside and outside the meniscus. At the same time, a meniscal injury step was performed on the patient. The biological characteristics of perovskite nano-biomaterials in the repair of meniscus injuries in football sports were compared and analyzed, and the patient's gait before and after surgery was also compared. Experiments have shown that the percentage of the postoperative support phase of the affected limb is significantly higher than that before surgery ( P < 0.05 ), the percentage of the postoperative support phase and flatfoot phase decreased compared with that before surgery, and the gait cycle parameters of both lower extremities improved after surgery, obviously ( P < 0.05 ). It explains that the arthroscopic repair of perovskite nanobiomaterials combined with the artificial intelligence technology to repair the meniscus anterior angle injury is simple and does not require special equipment, has fewer complications, is safe and reliable, and has a high clinical healing rate and a high patient satisfaction rate after surgery. The curative effect is significant; artificial intelligence technology and the application of perovskite nanobiomaterials provide more possibilities for meniscus repair.

scholarly journals Research Progress and Application of Computer Artificial Intelligence Technology

2018 ◽  
Vol 176 ◽  
pp. 01043 ◽  
Author(s):  
Jin Wei
Keyword(s):  
Artificial Intelligence ◽  
Rapid Development ◽  
Science And Technology ◽  
Development Trend ◽  
Concept Development ◽  
Research Progress ◽  
Huge Amount ◽  
Development History ◽  
Artificial Intelligence Technology ◽  
Major Application

With the development of science and technology, artificial intelligence technology has received more and more attention and attention. Under the background of the rapid development of big data and cloud computing, the artificial intelligence industry broke out. There is a huge amount of research on artificial intelligence and the artificial intelligence industry is huge. As far as the artificial intelligence industry in China is concerned, even the start is relatively late, but the industry scale, industrial layout, and technology research are all in a continuous improvement stage. Especially after the deepening of the layout of science and technology and manufacturing industries, the scale of artificial intelligence industry is further developed. More artificial intelligence products will appear at the same time. From the perspective of the concept, development history and new progress of artificial intelligence, this paper combines China’s artificial intelligence market and the development of artificial intelligence companies to analyze the current major application areas, and then further explore the future development trend of artificial intelligence.

scholarly journals A Study on the Design of Children Intelligent Guardianship Product Based on Artificial Intelligence Technology

2020 ◽  
Vol 179 ◽  
pp. 02050
Author(s):  
Yan-Xia Qu ◽  
Ming-Feng Wang
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Child Care ◽  
Design Process ◽  
Rapid Development ◽  
Parental Supervision ◽  
Parental Experience ◽  
Artificial Intelligence Technology ◽  
Intelligent Child ◽  
The Way

The rapid development of AI has affected the design process. The ability to analyze big data and AI’s efficiency, rapidity will bring great changes to the monitoring products especially for children. At present, the vast majority of intelligent child care products are based on the parental experience, designed in the aspect of parental supervision, and the children who use the product are often neglected. So change the way of designing, from the perspective of children using Intelligence technology, the ultimate child care products can play the most important role.

scholarly journals Electrical Detection and Control System Based on Artificial Intelligence

CONVERTER ◽  
2021 ◽  
pp. 16-22
Author(s):  
Ren Li, Hang Zhou
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Rapid Development ◽  
Advanced Technology ◽  
Ac Drive ◽  
Artificial Intelligence Technology ◽  
Implementation Scheme ◽  
Dc Drive ◽  
Automation Control ◽  
And Control

With the rapid development of society, many industries have integrated intelligent advanced technology, and electrical automation control is one of them. Electrical automation control system is a control system for the efficiency, status, quality and other aspects of electrical operation. Through the system, electrical operation can be well controlled. After the use of intelligence, the system has the ability of sub identification and decision-making. This paper first briefly analyzes the application theory of artificial intelligence, and then expounds the advantages of artificial intelligence controller. This paper studies the application of artificial intelligence technology in electrical automation control system from two aspects of the application of artificial intelligence in DC drive and AC drive, and analyzes the advantages of artificial intelligence control. Taking the application of AI Artificial Intelligence regulator in the control of an electrical appliance as an example, this paper expounds the circuit principle, implementation scheme and application effect of the system.

The effectiveness of physical education teaching in college based on Artificial intelligence methods

2020 ◽  
pp. 1-11
Author(s):  
Zihao Li ◽  
Hejin Wang
Keyword(s):  
Artificial Intelligence ◽  
Physical Education ◽  
Rapid Development ◽  
Participation Rate ◽  
Colleges And Universities ◽  
The Body ◽  
Current Status ◽  
Innovative Teaching ◽  
Artificial Intelligence Technology ◽  
Low Activity

Traditional physical education in colleges and universities is difficult to arouse students’ interest in sports, resulting in low activity participation rate and inability to exercise the body. How to effectively improve the effectiveness of physical education in colleges and universities has become one of the hot topics of most concern from all walks of life. In physical education, innovative teaching concepts and methods, teaching methods and processes, and teaching evaluation methods are all conducive to improving the classroom atmosphere of physical education and successfully improve the effectiveness of physical education. This article focuses on analyzing the current status of physical education in colleges and universities. Based on the rapid development of artificial intelligence technology, how to improve the effectiveness of physical education is studied, and an experimental method is used to compare and analyze physical education in a college. The analysis results show that artificial intelligence-based physical education can obviously improve students’ strength quality, speed quality, endurance quality, and agility quality, which provides a more important reference and reference for improving the effectiveness of college physical education.

scholarly journals Short Text Paraphrase Identification Model Based on RDN-MESIM

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jing Li ◽  
Dezheng Zhang ◽  
Aziguli Wulamu
Keyword(s):  
Artificial Intelligence ◽  
Rapid Development ◽  
Present Stage ◽  
Short Text ◽  
Application Mode ◽  
Service Areas ◽  
Artificial Intelligence Technology ◽  
Data Inquiry ◽  
Novel Model

In the rapid development of various technologies at the present stage, representative artificial intelligence technology has developed more prominently. Therefore, it has been widely applied in various social service areas. The application of artificial intelligence technology in tax consultation can optimize the application scenarios and update the application mode, thus further improving the efficiency and quality of tax data inquiry. In this paper, we propose a novel model, named RDN-MESIM, for paraphrase identification tasks in the tax consulting area. The main contribution of this work is designing the RNN-Dense network and modifying the original ESIM to adapt to the RDN structure. The results demonstrate that RDN-MESIM obtained a better performance as compared to other existing relevant models and archived the highest accuracy, of up to 97.63%.

scholarly journals PRACTICE OF INFORMATION TECHNOLOGY IN TRANSLATION TEACHING AT CHINESE REGIONAL UNIVERSITIES IN THE ERA OF ARTIFICIAL INTELLIGENCE

2020 ◽  
Vol 7 (10) ◽  
Author(s):  
Ma Yan ◽  
Wang Feng
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Teaching And Learning ◽  
Language Teaching ◽  
Rapid Development ◽  
Artificial Intelligent ◽  
Regional Universities ◽  
Artificial Intelligence Technology ◽  
History Of ◽  
Reform And Innovation

<p>With its rapid development in recent years, artificial intelligence has been widely used in all aspects of our life, including language teaching and learning. After a review of the history of artificial intelligence technology and a discussion of the development of artificial intelligent translation at home and abroad, the article summarizes the characteristics of translation teaching at Chinese regional universities in the era of artificial intelligent and puts forward pedagogical suggestions for</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0695/a.php" alt="Hit counter" /></p><p>the reform and innovation in translation teaching.</p>

scholarly journals Study on the Training Mode of Accounting Talents under the Background of Artificial Intelligence

2019 ◽  
Vol 3 (3) ◽  
pp. 91
Author(s):  
Cuizhen Peng
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technology Development ◽  
Rapid Development ◽  
Teaching Mode ◽  
Teaching System ◽  
Social And Economic Development ◽  
Training Mode ◽  
Artificial Intelligence Technology ◽  
And Training

<p>Now the speed of social and economic development is faster and faster, the development of science and technology is also fast and the speed of artificial intelligence technology development quickens. All of these promote the rapid development and progress of accounting. This paper tries to analyze and study the education and training mode of accounting talents under the premise of artificial intelligence, put forward the goal of training accounting talents, promote the integrity of accounting teaching system, and explore the optimization and improvement of accounting teaching mode.</p>

Optimal system design of language training strategy based on artificial intelligence

2020 ◽  
pp. 1-11
Author(s):  
Jianling Guo ◽  
Jia Liu
Keyword(s):  
Artificial Intelligence ◽  
Speech Recognition ◽  
Foreign Students ◽  
Chinese Culture ◽  
New Technologies ◽  
New Technology ◽  
Rapid Development ◽  
Chinese Students ◽  
Training Strategy ◽  
Artificial Intelligence Technology

With the rapid development of China’s economy and the rapid increase in the number of Chinese learners in recent years, Chinese fever has become a common phenomenon in the global language exchange system. However, in the absence of foreign Chinese teachers at present, the development of Chinese new technology, this document uses the new computer technology to establish a Chinese teaching platform. The system is based on speech recognition technology to help foreigners learn spoken language, manuscript recognition technology and Chinese letters. foreign students in artificial intelligence technology, simulation of Chinese foreign education and training. The establishment of this system will not only help foreign students to solve the problem of Chinese learning successfully, but also make important contributions to the learning of Chinese students. Some new technologies, such as speech recognition, will be recognized by more and more Chinese students with the development of new technologies and the renewal of the system, and will make the greatest contribution to the promotion of Chinese culture.

scholarly journals Patent Analysis Using Vector Space Model and Deep Learning Model : A Case of Artificial Intelligence Industry Technology

2021 ◽  
Author(s):  
Yongmin Yoo ◽  
Dongjin Lim ◽  
Kyungsun Kim
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Vector Space ◽  
Rapid Development ◽  
Vector Space Model ◽  
Learning Model ◽  
Patent Data ◽  
Space Model ◽  
Artificial Intelligence Technology ◽  
Deep Learning Model

Thanks to rapid development of artificial intelligence technology in recent years, the current artificial intelligence technology is contributing to many part of society. Education, environment, medical care, military, tourism, economy, politics, etc. are having a very large impact on society as a whole. For example, in the field of education, there is an artificial intelligence tutoring system that automatically assigns tutors based on student's level. In the field of economics, there are quantitative investment methods that automatically analyze large amounts of data to find investment laws to create investment models or predict changes in financial markets. As such, artificial intelligence technology is being used in various fields. So, it is very important to know exactly what factors have an important influence on each field of artificial intelligence technology and how the relationship between each field is connected. Therefore, it is necessary to analyze artificial intelligence technology in each field. In this paper, we analyze patent documents related to artificial intelligence technology. We propose a method for keyword analysis within factors using artificial intelligence patent data sets for artificial intelligence technology analysis. This is a model that relies on feature engineering based on deep learning model named KeyBERT, and using vector space model. A case study of collecting and analyzing artificial intelligence patent data was conducted to show how the proposed model can be applied to real-world problems.

scholarly journals Joint Channel Pruning and Quantization-Based CNN Network Learning with Mobile Computing-Based Image Recognition

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Huanyu Liu ◽  
Qing Luo ◽  
Mingmei Shao ◽  
Jeng-Shyang Pan ◽  
Junbao Li
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Rapid Development ◽  
Computational Cost ◽  
The Internet ◽  
New Era ◽  
Practical Applications ◽  
Model Compression ◽  
Smart Healthcare ◽  
Artificial Intelligence Technology

The development of the Internet and communication technology has ushered in a new era of the Internet of Things (IoT). Moreover, with the rapid development of artificial intelligence, objects are endowed with intelligence, such as home automation and smart healthcare, which are typical applications of artificial intelligence technology in IoT. With the rise of convolutional neural network (CNN) in the field of computer vision, more and more practical applications need to deploy CNN on mobile devices. However, due to the large amount of CNN computing operations and the large number of parameters, it is difficult to deploy on ordinary edge devices. The neural network model compression method has become a popular technology to reduce the computational cost and has attracted more and more attention. We specifically design a small target detection network for hardware platforms with limited computing resources, use pruning and quantization methods to compress, and demonstrate in VOC dataset and RSOD dataset on the actual hardware platform. Experiments show that the proposed method can maintain a fairly accurate rate while greatly speeding up the inference speed.

Sign in / Sign up

Export Citation Format

Share Document