scholarly journals Risk Management in the Construction of Intelligent Transportation Platform Based on Artificial Intelligence

CONVERTER ◽  
2021 ◽  
pp. 543-549
Author(s):  
Hongxi Di
Keyword(s):  
Artificial Intelligence ◽  
Risk Management ◽  
Traffic Management ◽  
Motor Vehicle ◽  
Transmission Rate ◽  
Intelligent Transportation ◽  
Existing Problems ◽  
Core Technology ◽  
Artificial Intelligence Technology ◽  
Response Measures

The smoothness of a city's traffic is one of the signs that measure the development of a city. With the advent of the era of artificial intelligence and big data, the previously bloated and blocked motor vehicle transportation system is increasingly unable to adapt to this fast-paced society. The use of artificial intelligence technology to build a brand-new intelligent transportation platform is imminent, and reasonable planning of the risks in the construction of the transportation platform can effectively increase the transmission rate and reduce the frequency of accidents. The purpose of this paper is to study the risk management in the construction of intelligent transportation platform based on artificial intelligence. This article first summarizes the basic theory of artificial intelligence, and then extends the core technology of artificial intelligence. And combined with the current situation of my country's contemporary intelligent transportation, analysis of the existing problems and shortcomings, on this basis, combined with artificial intelligence technology to research and analyze the risk management in the construction of intelligent transportation platform. This research systematically expounds the risk construction principles, model construction and risk response measures of the intelligent transportation platform. This paper uses field surveys, interviews and other research methods to research and investigate traffic risk management in a certain place. The experimental research shows that risk management in the construction of intelligent transportation platforms based on artificial intelligence has higher feasibility than traditional traffic management.

scholarly journals Application of Artificial Intelligence Technology in Mechanical Electrical Control System

2021 ◽  
Vol 2066 (1) ◽  
pp. 012057
Author(s):  
Nan Li
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Control Systems ◽  
Current Status ◽  
Work Efficiency ◽  
Electrical Control ◽  
Existing Problems ◽  
The Core ◽  
Core Technology ◽  
Artificial Intelligence Technology

Abstract Artificial intelligence technology (A I T) has also been widely used in society. Combining A I T with mechanical and electrical control systems will bring huge profits to the corporate sector and greatly improve work efficiency. It can save a lot of money in the electrical control operations of all walks of life in the country, and fill the gap in this technology in the country. The purpose of this article is to study the application of A I T in mechanical electrical control systems (M E C S). This article first introduces the basic theories and concepts of A I T, extends the core technology of A I T, and combines the current status of the electrical control system of modern enterprises in our country to discuss its existing problems, and finally studies and analyzes A I T and machinery. Combination of electrical control systems, and discuss the application of A I T in mechanical electrical orifice subsystems. Experiments show that, compared with the existing M E C S, the M E C S using A I T can better complete the work and improve work efficiency.

scholarly journals Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine

Cancers ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3532 ◽  
Author(s):  
Ryuji Hamamoto ◽  
Kruthi Suvarna ◽  
Masayoshi Yamada ◽  
Kazuma Kobayashi ◽  
Norio Shinkai ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Precision Medicine ◽  
Medical Devices ◽  
The United States ◽  
Medical Data ◽  
Clinical Implementation ◽  
Medical Field ◽  
Core Technology ◽  
Artificial Intelligence Technology ◽  
History Of

In recent years, advances in artificial intelligence (AI) technology have led to the rapid clinical implementation of devices with AI technology in the medical field. More than 60 AI-equipped medical devices have already been approved by the Food and Drug Administration (FDA) in the United States, and the active introduction of AI technology is considered to be an inevitable trend in the future of medicine. In the field of oncology, clinical applications of medical devices using AI technology are already underway, mainly in radiology, and AI technology is expected to be positioned as an important core technology. In particular, “precision medicine,” a medical treatment that selects the most appropriate treatment for each patient based on a vast amount of medical data such as genome information, has become a worldwide trend; AI technology is expected to be utilized in the process of extracting truly useful information from a large amount of medical data and applying it to diagnosis and treatment. In this review, we would like to introduce the history of AI technology and the current state of medical AI, especially in the oncology field, as well as discuss the possibilities and challenges of AI technology in the medical field.

scholarly journals Smart Technology and Industry Trends in Fourth Industrial Revolution

2019 ◽  
Vol 8 (2S6) ◽  
pp. 400-404
Keyword(s):  
Artificial Intelligence ◽  
Autonomous Vehicles ◽  
Industrial Revolution ◽  
Unmanned Vehicles ◽  
Core Technology ◽  
Artificial Intelligence Technology ◽  
Technical Factors ◽  
Smart Machine ◽  
Industry Trends ◽  
Technology Trends

In this paper, we have been studying the technology trends closely approaching us and the smart machine, which is a representative example of the forth industrial revolution. The key content in technology trends is artificial intelligence. Artificial intelligence technology is being used as a core technology of the 4th industrial revolution. In autonomous vehicles, which are representative industries, artificial intelligence-based unmanned vehicles are emerging, and on the other side, and various voice recognition based products are emerging. In this paper, we have studied the latest technical factors of autonomous automobile and speech recognition based industry, which is a representative industry of the 4th industrial revolution

scholarly journals Use of artificial intelligence in last mile delivery

2021 ◽  
Vol 92 ◽  
pp. 04011
Author(s):  
Peter Jucha
Keyword(s):  
Artificial Intelligence ◽  
Driving Forces ◽  
Value Added ◽  
Allocation Of Resources ◽  
Existing Problems ◽  
Routing Optimization ◽  
Last Mile ◽  
Artificial Intelligence Technology ◽  
Last Mile Delivery ◽  
Vehicle Routing Optimization

Research background: Artificial intelligence is a term that is now known to almost everyone and is among the trends and innovations of Industry 4.0 for 2020. It is a much-discussed topic in the field of technology. Artificial intelligence and machine training are the driving forces across different industries. In many cases, artificial intelligence helps people in their work and simplifies it or even completely replaces the human workforce. Purpose of the article: The purpose of the article is to state how artificial intelligence can affect and solve existing problems in last mile delivery. For example, inefficiency is a major problem with last mile delivery because the last section of delivery usually involves a number of short-distance stops. However, a long waiting time for the customer to deliver the goods or incorrect allocation of resources and vehicles to the required areas can also be a problem. And it is artificial intelligence that should help solve such problems. Methods: Comparison, Empirical and retrospective analysis are used within the analysis of different modes of last-mile delivery. Findings & Value added: The research results shows the ways in which artificial intelligence can help solve problems in last mile delivery. Examples include The Vehicle Routing optimization (VRO), which aims to calculate the most optimal delivery route or artificial intelligence technology, which is used to interpret various events, manage data, and apply predictive intelligence.

An artificial intelligence and multimedia teaching platform based integration path of IPE and IEE in colleges and universities1

2020 ◽  
pp. 1-10
Author(s):  
Daili Wu ◽  
Hengyun Shen ◽  
Zhiyuan Lv
Keyword(s):  
Artificial Intelligence ◽  
College Students ◽  
High Speed ◽  
Entrepreneurship Education ◽  
Colleges And Universities ◽  
Ideological And Political Education ◽  
Existing Problems ◽  
Integration Strategy ◽  
Multimedia Teaching ◽  
Artificial Intelligence Technology

With the high speed developing technologies of artificial intelligence technology and Internet multimedia, the environment of social public opinion tends to be complex, which puts forward new challenges to the ideological and political education (IPE) of colleges and universities (IPECU) as well as the innovation and entrepreneurship education (IEE) of college students. Under the platform of artificial intelligence and multimedia teaching, the integration of IPE and IEE of college students should be adjusted appropriately according to the actual situation. The goal, content and mode of college students’ IEE and IPE have natural commonality under the platform of artificial intelligence and multimedia teaching, and they promote and influence each other. This paper is to further explore the integration strategy of artificial intelligence and multimedia teaching in IPECU of entrepreneurship education through the analysis of the existing problems and causes in colleges and universities. The author summarizes the core coupling of the current situation of IPECU in entrepreneurship education, as well as the influencing factors of the external environment, and puts forward the corresponding countermeasures.

scholarly journals Application Strategy of Big Data Processing Technology in Intelligent Transportation

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Yaohua Xie ◽  
Xin Zhou
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Traffic Management ◽  
Traffic Accidents ◽  
Rapid Development ◽  
Intelligent Transportation ◽  
Processing Technology ◽  
Internet Technology ◽  
Big Data Processing ◽  
Artificial Intelligence Technology

With the rapid development of China’s society and economy, the process of urbanization has been accelerated, and the transportation system has become more complicated, especially the frequent occurrence of traffic accidents, traffic congestions, and environmental pollution. In the context of the rapid development of Internet technology, digital technology, artificial intelligence technology, etc. We apply them to traffic management as effective ways to improve China’s traffic operation management. Based on big data processing technology, this paper discusses its application strategy in intelligent transportation, in hope of serving as a reference.

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