Application Of Intelligence Technology Research Articles

METHODS OF ASSESSING THE LEVEL OF APPLICATION OF INTELLECTUAL TECHNOLOGIES IN THE COUNTRY’S ECONOMY

The article systematizes methods for assessing the level of application of intelligent technologies in the country’s economy, which is an important task that allows determining the degree of use of innovative solutions in the business sphere and increasing the country’s competitiveness in the global world. The classification of indicators for the assessment of intellectual potential has been carried out. Various evaluation methods are considered, including analysis of economic indicators, surveys of business and population, measurement of the relative importance of markets and the amount of investments in the development of intelligent technologies. International ratings that evaluate human capital have been determined. The basic levels of assessment of intellectual potential are considered. The positive aspects of the application of intelligent technologies in the creation of new markets and business models, which are able to ensure the growth of the economy and the development of society as a whole, have been established. The main purposes and tasks of intelligent technologies are defined, which is characterized by understanding the state of the economy and determining the strategy of its development. Scientific works on the assessment of the level of application of artificial intelligence (AI) and machine learning (ML) in the economy and the use of methods for measuring the impact of AI and ML on productivity, reducing costs and improving the quality of work in business have been studied. It is emphasized that the assessment of the level of application of intelligent technologies in the country’s economy is a complex process that requires the involvement of a large amount of various data and its analysis using modern methods of information technology, however, with a thorough assessment, it allows to identify the weak points of the economy and provide recommendations for their improvements, which helps increase the efficiency of the intelligent technologies and ensures the economic growth of the country, reducing costs and improving the quality of business operations.

Discussion on the Application of Intelligent Technology in Electrical and Mechanical Engineering

With the continuous development of technology, intelligent technology is gradually becoming the focus of promoting social development and has been widely applied in various industries. In electrical and mechanical engineering such as construction, transportation, and industry, intelligent technology has also played a very important role. Due to the continuous development of intelligent technology and electrical and mechanical engineering, it is of great practical significance to deeply explore and analyze the application of intelligent technology in electrical and mechanical engineering. This article first briefly introduces the current development status of intelligent technology, and then focuses on a comprehensive discussion of the application of intelligent technology in electrical and mechanical engineering. I hope that this study can provide some reference and inspiration for relevant workers.

Practical Application of Intelligent Technology in Grassroots Public Governance and Its Enhancement of Governance Effectiveness

Abstract The application and development of intelligent technology in the field of public management has accelerated the governance mode change and process evolution. As a new mode and direction of governance system and technological innovation in the new era, holistic smart governance has a high theoretical coupling with grassroots public governance. Based on the transformation path of grassroots public governance, the study designs a holistic smart governance model for the application of intelligent technology in grassroots public governance and then measures the effectiveness of grassroots public holistic smart governance using the static DEA model and the dynamic Malmquist index model. Subsequently, data from 16 regions in Province M are taken as examples for empirical analysis, and the augmented regression number model is utilized to explore the relative strengths of the influencing factors and the ways of influencing them. The results show that M4, M7, M9, M12, M13 and M15, six regions realize DEA effective, but the average value of the annual technology change index is greater than 1 only in M7, M12 and M15, some regions have poor technological innovation capacity, production technology is difficult to innovate, and the innovation capacity and grassroots public governance are not coordinated with the input governance. M = 3055 under the augmented regression tree in the ratio of housing expenditure to per capita disposable income has the greatest impact on grassroots public governance in society (27.54%), which needs to be focused on. The study concludes that governance effectiveness can be realized in five areas: governance philosophy, governance objectives, governance approach, governance structure, and governance path.

Research on Risk Assessment and Management Strategies of Applying Artificial Intelligence Technology in Educational Institutions

Abstract Based on the development and application of intelligent technology, educational institutions are facing multiple risks and challenges while ushering in significant development opportunities. In order to cope with the increasingly complex and diversified risk problems and realize the high-quality development of educational institutions, this paper, based on the evaluation principle of objectivity and risk avoidance, identifies the risks of the educational application of artificial intelligence technology by applying the Delphi method. Using the hierarchical analysis method to screen the index system, we established a risk assessment index system for the educational application of artificial intelligence in educational institutions. Analyze the degree of risk impact and combine the risk level with Borda value to obtain the educational risk assessment results. According to the risk assessment results of educational institutions, risk avoidance strategies in theory, system, and construction are proposed. Overall, the factors with higher or lower educational risk severity rankings of AI technology in educational institutions account for a relatively small percentage, and 70% of the risk factor items have a risk severity level between I and III.

Application of Intelligent Technology in Aviation Maintenance Risk Control

Application of Intelligent Technology in Aviation Maintenance Risk Control

Development Trends in Digital Highway Systems and Processes under Intelligent Technology

With the acceleration of China's urbanization process, the phenomenon of urban road traffic congestion is becoming increasingly serious, and the problem of road bottlenecks is becoming increasingly prominent. The operational efficiency of urban roads has encountered challenges. The rapid development of intelligent technologies such as artificial intelligence, big data, and the Internet of Things has provided more possibilities and opportunities for the research of digital highways. These technologies can be applied to traffic flow monitoring, road condition prediction, intelligent traffic management, and other aspects to improve highway traffic efficiency and service quality. This article designs a digital highway system based on intelligent technology to alleviate traffic congestion and other issues. Firstly, traffic information is collected and tested through channels such as circular coil detectors and cameras. This article would integrate and store the collected data into the Redis database; Then, the data is analyzed, processed, and predicted using the Kalman filtering algorithm. It then sends the predicted information to the client, providing convenience for users to choose the best route. This article tests the performance of the system through experiments. The experiment shows that the system can make correct analysis and prediction even in high pedestrian traffic, find the fastest driving route, and effectively resist the impact of fluctuations in pedestrian traffic. In addition, the system has achieved good results in accuracy testing of analysis and prediction. In summary, the digital highway system based on intelligent technology is expected to improve traffic efficiency, enhance traffic safety, achieve intelligent travel services, promote sustainable transportation development, and also bring broad prospects for commercial innovation and market opportunities. With the continuous progress and application of intelligent technology, digital highway systems would become an important tool for future road traffic to respond to challenges and improve service quality.

Dynamic Optimization Research on Regional Security Planning of College Dormitory under Neural Network Perspective

Abstract A dormitory is a place where students live and live for a long time, and the safety of the dormitory can directly affect the quality of students’ studies and lives. In light of this, the study constructs a dynamic security planning system for college dormitory areas, enhancing their security and intelligence through the application of intelligent technology and multi-directional management coordination. Taking the access control system and fire monitoring system in the dormitory security prevention system as an example, based on the neural network perspective, we design the face recognition method of HOG-YOLO and the fire detection algorithm of improved YOLOv5 to realize, train, and test the two models, and evaluate the face recognition performance and fire target detection effect of the models. The results show that the face recognition method established in this paper is highly accurate and rapid, with a recognition accuracy of 95.7%, and it can complete recognition and detection under different facial angles. The fire detection algorithm’s FPS has been improved by 14.75%. The overall accuracy has improved by more than 1%, which has a good effect on fire monitoring. Planning the security system for the dormitory areas in higher education is a significant area of research for ensuring campus security, and access control and fire monitoring systems have significant application potential.

Research on Marketing Decision Support System Oriented by Enterprise Value Chain Intelligence

Abstract Amidst the challenges posed by big data, intelligent technology is a pivotal force in redefining marketing decision-making and enhancing enterprise competitiveness. This study centers on developing an intelligent decision support model tailored to the enterprise value chain, aiming to elevate market competitiveness through technological advancements. Analyzing data from Chinese A-share listed companies from 2010 to 2022, we demonstrate that integrating intelligent technologies can lead to a notable 15% increase in total factor productivity, with marketing intelligence contributing a 5% improvement. The findings reveal the significant impact of technological innovation on marketing performance and suggest a strategic emphasis on intelligent technology application in marketing decisions to bolster overall enterprise competitiveness in the digital age.

Research on Intelligent Finance Construction of Manufacturing Enterprises under Digital Transformation

At present, China's economic development has entered a new normal. In order to adapt to the rapid development of the times and improve the competitiveness of China's manufacturing industry, Chinese manufacturing enterprises have begun digital transformation and upgrading. The development and application of intelligent technology have had a profound impact on the manufacturing industry, and intelligent manufacturing has entered a new stage of development. At present, many industries are at a critical juncture in digital transformation, with an increasing reliance on intelligent technology, which highlights the importance of establishing intelligent finance. If manufacturing enterprises want to truly complete digital transformation, they must make the construction of smart finance a new driving force. Based on the current background of digital transformation, financial management in the manufacturing industry needs to be innovated and optimized, and an intelligent financial model should be established. By actively applying technologies such as big data and cloud computing to the enterprise, the integration of business and finance can be enhanced, and the financial and commercial data of the enterprise can be deeply excavated to help the enterprise make business and management decisions and improve its risk control capabilities. Based on the background of intelligent finance construction, this article provides a specific discussion on the relevant issues of intelligent finance construction in manufacturing industry. Starting from the problems faced by intelligent finance construction in manufacturing enterprises, it briefly explains the background of digital transformation and the concept of intelligent finance. Secondly, it analyzes the important role of intelligent finance construction in manufacturing enterprises, and finally proposes countermeasures to promote the construction of intelligent finance in manufacturing enterprises.

Research on the Design of Modern Aged Residential Buildings Based on the Intelligent Home Elderly Care Model

In recent years, China's population aging problem is serious, and the aging work has become an important content to be solved urgently in social development. It is a common way to provide for the aged at home, which adapts to the basic conditions of our country. However, most of the technology and equipment of home care services lack advanced nature, and the service quality and efficiency are low. With the rapid development of information technology, the application of intelligent technology in the elderly is more and more extensive, and has achieved good results. In view of this, based on the characteristics of intelligent home care mode, this paper analyzes the design of modern age-appropriate residential buildings from the perspectives of internal environment and external environment.

Active eavesdropping detection: a novel physical layer security in wireless IoT

Considering the variety of Internet of Things (IoT) device types and access methods, it remains necessary to address the security challenges we currently encounter. Physical layer security (PLS) can offer streamlined security solutions for the next generation of IoT networks. Presently, we are witnessing the application of intelligent technologies including machine learning (ML) and artificial intelligence (AI) for precise prevention or detection of security breaches. Active eavesdropping detection is a physical layer security-based method that can differentiate wireless signals between wireless devices through feature classification. However, the operation of numerous IoT devices operate in environments characterized by low signal-to-noise ratios (SNR), and active eavesdropping attack detection during communication is rarely studied. We assume that the wireless system comprising an access point (AP), K authorized users and a proactive eavesdropper (E), following the framework of transforming wireless signals at AP into organized datasets that this article proposes a BP neural network model based on deep learning as a classifier to distinguish eavesdropping and non-eavesdropping attack signals. By conducting experiments under SNRs, the numerical results show that the proposed model has stronger robustness and detection accuracy can significantly improve the up to 19.58% compared with the reference approach, which show the superiority of our proposed method.

A Bayesian network-based model for risk modeling and scenario deduction of collision accidents of inland intelligent ships

Safety is an important premise and foundation for the operation of intelligent ships. This paper introduces a novel scenario analysis framework that employs disaster system theory to produce more comprehensive results for identifying scenario elements and calculating collision risks for inland intelligent ships. The framework is utilized to investigate the collision accident risk evolution mechanism. This process is incorporated into Bayesian Network (BN) modeling for ship collisions on inland rivers. By comparing the change in occurrence probability and consequence severity of risk factors for inland ship collision accidents with and without selected intelligent technologies, the collision risk of intelligent ships is quantified. The results indicate that the application of intelligent technologies, such as ship speed optimization and situational awareness, can reduce the occurrence probability of collision accidents and mitigate the severity of their consequences. Moreover, it has been discovered that such intelligent technologies have a greater impact on accidents with severe consequences than those with minor consequences. This research provides a framework for the preliminary safety evaluation of inland intelligent ships. It is of great significance to accelerate the improvement of navigational risk prevention and response-ability of inland intelligent ships in the future.

Exploration of Supply Chain Financing Model and Virtual Economic Risk Control Using the Backpropagation Neural Network

This article aims to optimize the supply chain financing model and address virtual economic risk control by effectively reducing associated risks. To achieve this objective, the backpropagation (BP) neural network model is designed and implemented, promoting the application of intelligent technology in supply chain financing and virtual economic risk control. Initially, a fundamental BP neural network model is developed and evaluated. Subsequently, an Adam-BP neural network model is proposed by optimizing the Adam optimizer, providing substantial technical support for enhancing the supply chain financing model and virtual economic risk control. The research results indicate significant performance improvement after applying Adam optimization to BP, with all indicators in the plant classification dataset surpassing 0.92 and those in the credit card fraud dataset increasing to above 0.9. Thus, the model presented here exhibits exceptional adaptability and offers effective technical support for optimizing the supply chain financing model and virtual economic risk control methods.

Can Unmanned Supermarkets Become Leaders in the New Retail Era: Industry Status and Improvement Measures

In the trend of rapid growth in the Internet of Things industry and new retail industry, automated and manual retail services such as unmanned retail and unmanned supermarkets have come to people's attention. With the development of emerging technologies, face recognition, artificial intelligence, big data, and 5G industries, the popularity of smart phones and the convenience of online payment have made people accustomed to using payment tools anytime and anywhere, and mobile payment has also provided convenience for businesses, consumers, and some public services; Big data credit reporting covers a wide range, and is more convenient and younger than the traditional retail model. This to some extent allows the public to experience the application of intelligent technology in daily life, improving happiness and convenience, but there are also problems and hidden dangers in this process. In view of this, this article conducts in-depth research on the market of unmanned supermarkets and concludes that unmanned supermarkets need to improve and innovate in multiple aspects in order to become a long-term retail form in the future.

Application of intelligent technologies for the implementation of the digital traction substation project

Aim: analysis of various design solutions for the use of digital substations and promising directions in the use of intelligent technologies in a modern traction power supply system.
 Methods: to achieve this goal, the results of research, well-known and innovative technical solutions for increasing the intellectual level of substations were considered, the potential of using digital technologies in the traction power supply system was analyzed.
 Results: the basic principles of operation of digital substations, their advantages and disadvantages, the use of digital measuring instruments and equipment at substations are considered. A review of foreign and domestic experience in the development and application of digital technologies in general and traction power supply systems is carried out. The main stages and technical solutions for the transfer of electrical substations to a new stage of their development are shown.
 Conclusion: Further step-by-step development of substations makes their transition to an intelligent platform, which will reduce the cost of repair and maintenance of electrical equipment, labor costs for operational personnel, significantly increase the reliability of the power supply system due to early detection of malfunctions, reduce the number of accidents and injuries at work. Thanks to the development of energy in this direction, it will be possible to create its own network of digital substations using the concept of retrofitting existing substations and transferring them to new digital power equipment, as well as creating Russian unique software that does not depend on other countries.

The role of intelligent technology in the development of urban air mobility systems: A technical perspective

Urban Air Mobility (UAM) is an emerging transportation system that aims at revolutionizing urban mobility through the deployment of small electric vertical takeoff and landing (eVTOL) aircraft. The development of UAM is largely driven by advances in Intelligent Technology (IT). This review article provides an overview of the UAM system and discusses the application of IT in UAM. Major challenges facing UAM are also identified, and an outlook on the future of this promising transportation system is presented. Our main conclusions suggest that IT is a fundamental driver of UAM, enabling a range of applications such as air traffic management and autonomous drone control. However, the UAM system is facing a number of challenges, including eVTOL technology, system integration issues, and noise pollution. Despite these challenges, the future of UAM appears promising; as a disruptive transportation mode, UAM is expected to play an important role in addressing the growing demand of urban transportation in the coming decades.

Research on Challenges and Reshaping of Role of College English Teachers in the Context of the AI Era

The application of intelligent technology has prompted the education industry to enter an AI era of human coexistence with machine. The AI era has greatly impacted traditional education models, and English teachers in universities have encountered new challenges in the AI era. Teachers should reshape their own positioning in order to adapt their teaching methods to the development of the new era. This paper mainly explores the challenges and reshaping of college English teachers in the AI era.

The Evaluation and Obstacle Identification of Urban Infrastructure Resilience in China

Urban infrastructure is the lifeline and material foundation for the normal operation of cities. It is of great significance to accurately evaluate the resilience level of urban infrastructure and identify the main obstacle factors for the construction of resilient cities. This paper establishes an index system for urban infrastructure resilience evaluation from three dimensions: Pre-disaster prevention capacity, disaster resistance capacity, and post-disaster recovery capacity. It also uses the CRITIC method to determine the index weights and identifies the main obstacle factors based on the obstacle degree model (ODM). The results show that urban infrastructure resilience in China is generally low and varies greatly in terms of structure across provinces and municipalities. The main obstacle factors affecting urban infrastructure resilience include the capacities to conduct pre-disaster prevention and post-disaster recovery in the production and supply of electricity, gas and water, to construct infrastructure recovery projects, and to ensure energy supply and power supply. It is recommended to promote the application of the concept of “resilience” throughout the entire process of urban planning, construction and governance, understand the current situation of urban infrastructure, coordinate the investment of resources such as funding, manpower and technology, enhance the robustness and redundancy of urban infrastructure systems, actively optimize the layout of urban infrastructure, and continuously improve the application of intelligent technologies in infrastructure systems.

A MOF-derived Zn-TiO2 electrochromic supercapacitor

Electrochromic supercapacitors caused widespread concern due to their ability to exhibit color changes to monitor the charging and discharging states. However, the unsatisfactory energy storage and electrochemical durability seriously hinder their practical applications, especially for titanium dioxide (TiO2) electrochromic supercapacitors. To address the above issues, a strategy for designing the novel bi-functional Zn-TiO2 film derived from the metal-organic framework (MOF)-based material is proposed for the first time. The ZnO@zeolitic imidazolate framework-8 (ZIF-8) acts as the self-sacrificial template, beneficial from the diverse porous structure of ZIF-8 and the core-shell structured of ZnO@ZIF-8, the obtained Zn-TiO2 film inherits the large pore volume and specific surface area, facilitating ion/electron intercalation/deintercalation and transport, presenting good electrochemical performance, large specific capacitance, and good constant current charging and discharging stability. In addition, the persistent deintercalation of the embedded Zn2+ in the TiO2 lattice continuously generates new available sites for Li+ intercalation, and the highly porous structure of Zn-TiO2 provides sufficient space to cope with the volume expansion during the electrochemical cycling, leading to the superior durability of the film. Finally, an asymmetric electrochromic supercapacitor using the Zn-TiO2 electrode is constructed and investigated. This study promotes the exploration for designing and fabricating the high-performance electrochromic supercapacitors towards intelligent technology applications.

Application of Intelligent Technology in Intelligent Building Integrated Management Platform in Multi-Dimensional Data Environment: Based on MySQL

Application of Intelligent Technology in Intelligent Building Integrated Management Platform in Multi-Dimensional Data Environment: Based on MySQL