Storage optimization algorithm design of cloud computing edge node based on artificial intelligence technology

College English cross-cultural teaching has changed from offline to online teaching. Under the impetus of MOOC teaching mode, college English cross-cultural teaching online teaching has exposed problems such as insufficient intelligence and poor online teaching effects. In order to improve the efficiency of college English cross-cultural teaching, based on cloud computing technology and artificial intelligence technology, this article improves and analyzes traditional MOOC, improves traditional algorithms according to the actual needs of MOOC teaching, and proposes a new improved model. Moreover, this article sets up functional modules through requirements analysis. In addition, according to actual teaching, this paper designs control experiments to verify and analyze the model performance from experimental teaching and the effect of attracting students’ online learning. The research results show that the model proposed in this paper has good performance and can effectively improve the efficiency of English cross-cultural teaching.

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Research on Integrated Development Technology of Artificial Intelligence, Big Data and Cloud Computing

Forest Chemicals Review ◽

10.17762/jfcr.vi.218 ◽

2021 ◽

pp. 349-356

Author(s):

Yu Qing

Keyword(s):

Artificial Intelligence ◽

Cloud Computing ◽

Big Data ◽

Development Strategy ◽

Reference Value ◽

The United States ◽

Two Dimensions ◽

Integrated Development ◽

Development Technology ◽

Artificial Intelligence Technology

Big data is profoundly changing our society and our way of production, life and thinking. At the same time, the development of big data continues to promote the innovation and breakthrough of artificial intelligence. Artificial intelligence is the focus of current research. All countries also raise artificial intelligence to the national strategic level and seize the commanding height of artificial intelligence. This paper analyzes the strategic characteristics of the development of artificial intelligence in the United States, Britain and Japan from the two dimensions of technology deployment and system guarantee. This paper studies the artificial intelligence technology based on big data and the development strategy of artificial intelligence, so as to provide a strategic idea for the development of artificial intelligence in China. The idea has a certain reference value for the research on the integrated development technology of artificial intelligence, big data and cloud computing.

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

Advances in Technology Innovation ◽

10.46604/aiti.2020.4284 ◽

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.

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Research on the Development of CPA Audit from the Perspective of Artificial Intelligence

E3S Web of Conferences ◽

10.1051/e3sconf/202125101056 ◽

2021 ◽

Vol 251 ◽

pp. 01056

Author(s):

Guangxiu Zhou

Keyword(s):

Artificial Intelligence ◽

Cloud Computing ◽

New Technologies ◽

General Trend ◽

Emerging Technology ◽

Internet Technology ◽

Audit Efficiency ◽

Artificial Intelligence Technology ◽

The Times

In the context of the continuous development of Internet technology, big data, Internet of things, cloud computing and other technologies have developed rapidly, and artificial intelligence technology has emerged as the times require. The development of new technologies has promoted social change. As soon as artificial intelligence technology is put forward, it has been widely concerned by the society. Artificial intelligence is like a double-edged sword. As an emerging technology, it is constantly influencing all walks of life, and its application in the field of audit has become the general trend. Under the Background of the rise of artificial intelligence, this paper puts forward the advantages of the combination of artificial intelligence and audit, and analyzes the challenges faced by the development of CPA audit industry, seize the opportunity of the times, actively apply artificial intelligence technology, give practical suggestions for the long-term development of the audit industry, in order to improve the audit efficiency and ensure the audit effect.

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Definition and History of Smart Cities

AI-Based Services for Smart Cities and Urban Infrastructure - Advances in Computational Intelligence and Robotics ◽

10.4018/978-1-7998-5024-3.ch001 ◽

2021 ◽

pp. 1-22

Author(s):

Kangjuan Lyu ◽

Miao Hao

Keyword(s):

Artificial Intelligence ◽

Cloud Computing ◽

Big Data ◽

Smart Cities ◽

Monitoring Systems ◽

Health Security ◽

Artificial Intelligence Technology ◽

History Of ◽

Definition Of ◽

Technical Basis

This chapter summarizes the development of cities, in terms of structural tendencies and the essence and problem of traditional cities. Then the definition of smart cities and their characteristics are discussed. Therefore, the development of AI (artificial intelligence) is the origin and technical basis of smart cities. Through big data and cloud computing, AI will reinvent traditional cities. Finally, varied applications of artificial intelligence technology in smart cities are explored including basic infrastructures such as monitoring systems, urban transportation, urban planning, and public services, such as medical and health, security, and varied fields in life.

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E-Era of Jurisdiction:Empowering Traditional Courts Using Various Artificial Intelligence Tools

Asian Journal of Computer Science and Technology ◽

10.51983/ajcst-2018.7.2.1872 ◽

2018 ◽

Vol 7 (2) ◽

pp. 57-61

Author(s):

Balam Singh Dafauti

Keyword(s):

Artificial Intelligence ◽

Decision Making ◽

Cloud Computing ◽

Judicial System ◽

Judicial Process ◽

Wide Range ◽

Artificial Intelligence Technology ◽

Tools And Techniques ◽

Analytical Tools ◽

Indian Scenario

In Indian scenario, we are still in the transformation phase from manual to electronic data processing. We are in balanced combination of simple, moral, responsive and transparent governance and IT tools and techniques. However a lot of scope is still there to do more and to imply IT in various governmental departments and domains. In the same sequence we can use artificial intelligence along with cloud computing to improve Indian Judicial system. Or we can say that the concept of e-courts can be enhanced by implying AI tools and techniques. The judiciary is in the early stages of a transformation in which AI (Artificial Intelligence) technology will help to make the judicial process faster, cheaper, and more predictable without compromising the integrity of judges’ discretionary reasoning. In this paper I have proposed a solution where judicial system with AI contributes to a process that encompasses such a wide range of knowledge, judgment, and experience. It have two more practical goals: producing tools to support judicial activities, including programs for intelligent document assembly, case retrieval, and support for discretionary decision-making; and developing new analytical tools for understanding and modeling the judicial process.

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New Framework of Digital Entrepreneurship Model Based on Artificial Intelligence and Cloud Computing

Mobile Information Systems ◽

10.1155/2021/3080160 ◽

2021 ◽

Vol 2021 ◽

pp. 1-11

Author(s):

Jiahui Li ◽

Meifang Yao

Keyword(s):

Artificial Intelligence ◽

Cloud Computing ◽

Big Data ◽

Data Analysis ◽

Big Data Analysis ◽

Algorithm Analysis ◽

Model Based ◽

Artificial Intelligence Technology ◽

New Framework ◽

Digital Entrepreneurship

With the rapid development of entrepreneurial enterprises and the widespread application of emerging technologies, the commercialization of new technologies for entrepreneurial enterprises is particularly important. This research mainly discusses the new framework of digital entrepreneurship model based on artificial intelligence and cloud computing. Through artificial intelligence technology, the products provided by existing competitors only have the characteristics of one-way value; that is, data is only collected and displayed, and the application of artificial intelligence technology in products makes the value of products develop in two directions; that is, the machine can self-identify faults and errors are resolved and reported. Let customers experience the convenience, accuracy, and safety brought by technology through intelligent acquisition equipment hardware with artificial intelligence algorithm analysis and camera hardware with artificial intelligence image analysis. Customers can pay flexibly according to their needs. This model greatly enhances the high possibility of artificial intelligence companies landing. Use big data analysis and cloud computing technology to provide customers with a series of solutions such as warehouse management, sales forecasting, big data analysis, and financial management. In the SaaS market, in terms of market segmentation, there are no domestic enterprises with scale and brand effect; the incentive and welfare module will focus on the outsourcing and outsourcing of employee benefits. Relevant value-added services and derivative services are the core business, which can give play to the competitive advantages of specialization, scale, and platform. From 2018 to 2020, the cash paid to employees shows a gradual increase, and the taxes and fees paid are also increasing year by year. The cash paid for other operating activities reached a maximum of 12303 million yuan in 2018. This research will promote the innovation of new types of enterprises.

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