Research on Application of Artificial Intelligence Technology in Electrical Automation Control

The National Academies Board on Human Systems Integration (BOHSI) has organized this session exploring the state of the art and research and design frontiers relating to the application of Artificial Intelligence (AI) technologies to Healthcare. Advances in AI, machine learning, and robotics promise to revolutionize access to and quality of healthcare. At the same time lessons learned from earlier applications of AI technologies suggest a need to carefully consider the user and use context and the need for effective human-machine teaming design to avoid brittle systems that fail to be used or worse that negatively impact patient safety. The Panel brings together prominent researchers from both the Human Factors and Computer Science and AI communities to discuss promising applications, challenges and short-falls and ways forward for achieving the promise of enhanced delivery of health care through application of AI technologies.

Artificial intelligence has provided great potential and space for the optimization of electrical engineering and it will bring about great improvement not only in economic aspect but also in safety and actual operation control. Since the advent of artificial intelligence it has been widely applied in all fields of life and achieved notable application effect its emergence has even pointed out the direction for the development of many fields and the field of electrical automation control is no exception. In reality, the application of artificial intelligence technology has greatly promoted the progress of the concrete practice of electrical automation and should be paid full attention to by related enterprises and staff. This paper aims to summarize the emergence and development of artificial intelligence and its components and finally summarize the advantages and functions of artificial intelligence in electrical automation control. Advances in machine learning and artificial intelligence (AI) techniques bring new opportunities to numerous intractable tasks for operation and control in modern electric distribution systems. Revolving around the characteristics of distribution system operation and integration of distributed energy resources this paper also illuminates prospects and challenges typified by the privacy explain ability and interpretability of such AI applications in smart grids. KEYWORDS: - Distribution systems, smart buildings, neural networks, Artificial Intelligence, Electrical Engineering, power systems.

Against the background of the new era, the birth of artificial intelligence technology opened a new chapter in human development. Artificial intelligence technology has been developed in many places. The report discusses the application and innovation of artificial intelligence technology in college sports. The first thing people think of artificial intelligence is robots. In fact, it can be said that artificial intelligence can replace human labor. Artificial intelligence is a product of modern technology and cannot be understood unilaterally. For example, the various means of transportation used in people’s daily travel is an artificial intelligence that can replace people’s walking. Another example is that elevators can replace people on stairs. It is also a type of artificial intelligence, which is not an advanced technology. Product, it is also seen everywhere in people’s daily life. Artificial intelligence is a synthesis of scientific and intelligent technology created by human beings. It is a scientific technology including computer science, cognition, logic, etc., formed through mutual intersection and integration. In recent years, artificial intelligence has achieved considerable development, but there are still a series of unsolved problems, and the development of artificial intelligence is still very long. This article studies what artificial intelligence has facilitated and changed the physical education in colleges and universities, and what changes have taken place in the teaching mode are all worthy of our thinking. As a result, artificial intelligence technology is convenient for teachers and students in teaching. Let’s take a look at how to innovate.

When ChatGPT-3.5 entered the consumer-grade market, artificial intelligence (AI) technology has developed at a rapid pace and become an important driving force for the progress of human civilization. Up to now, the landscape of large AI models has gradually presented a situation of a hundred schools of thought contending, playing important roles in industries such as industry, healthcare, education, and finance. However, it is undeniable that there are structural resistances to the application of artificial intelligence technology in social, ethical, and other aspects. Therefore, this paper, from an organizational perspective, comprehensively analyzes existing literature on organizational inertia and its impact on the application of artificial intelligence, clarifying the definition and dimensions of organizational inertia as well as the impact of each dimension on the application of artificial intelligence technology. The study found that organizational inertia has six internal dimensions: structure, resources, cognition, path, routines, and culture. Moreover, through searching for studies on the impact of organizational inertia on the application of artificial intelligence, it was found that the number of relevant representative papers is relatively limited, and only the structural, resource, cognitive, and path dimensions of organizational inertia have been verified to hinder organizations' application of artificial intelligence technology, while there is a lack of research on the impact of the routines and cultural dimensions of organizational inertia on the application of artificial intelligence technology

In the current era of rapid development of artificial intelligence (AI) technology, the field of education is undergoing profound transformations[1]. As a crucial component of the Japanese language teaching system, the traditional teaching model of "Japanese Audio-Visual-Speaking" faces numerous challenges in cultivating students' comprehensive language application abilities. Against the backdrop of the AI era, this paper delves into the practice and application of AI technology in the teaching of "Japanese Audio-Visual-Speaking." By analyzing the current applications of AI technology in Japanese speech recognition, personalized learning, and virtual simulation scenario construction, combined with specific teaching practice cases, this paper elaborates on the innovative breakthroughs brought by AI technology to "Japanese Audio-Visual-Speaking" teaching, including advantages such as improved learning efficiency, enhanced interactivity, and personalized instruction. At the same time, it objectively examines the challenges faced during the application of AI technology, such as technological dependence, the transformation of teachers' roles, and data security, and provides an outlook on the future development trends of AI technology in "Japanese Audio-Visual-Speaking" teaching, offering references for promoting the modernization of Japanese audio-visual-speaking instruction.

The article is devoted to the study of the application of artificial intelligence technologies in law enforcement activities in Ukraine and the world. The purpose of the article is to analyze the international and domestic experience of using digital technologies in law enforcement activities, to identify the shortcomings of the legal regulation of the use of artificial intelligence in this area, to provide proposals for its improvement in Ukraine. It was found that one of the countries that is actively expanding the use of artificial intelligence and successfully introducing relevant technologies into public administration is China. The artificial intelligence system which is used in China called «Zero Trust». The purpose of using this system is to prevent the commission of corruption offenses. It is emphasized, that the disadvantage of the «Zero Trust» system is that artificial intelligence, identifying the cause of corruption, does not indicate the algorithms and principles of this process. At the same time, the experience of using artificial intelligence in the field of preventing and combating corruption in Ukraine is considered when carrying out automated verification of persons declarations of authorized to perform state and local government functions. Ways of improving legal regulation when conducting financial control of declarations using artificial intelligence technologies are proposed. It has been found that artificial intelligence is widely used in the USA to predict the prevalence and state of crime. It was emphasized that Ukraine also has experience in the application of artificial intelligence technologies in law enforcement activities. Artificial intelligence is used in the development and implementation of departmental specialized intelligent software, the implementation of operative and investigative actions (for the recognition of video objects observation by comparing images in social networks, etc). It was concluded that artificial intelligence and digital technologies help to quickly process large volumes of information in the investigation and prevention of criminal activity. Modern developments in the field of artificial intelligence and advanced digital technologies, which are implemented in foreign countries to prevent and fight crime, are of great importance for the improvement of legal regulation in this field in Ukraine.

The widespread application of artificial intelligence (AI) technology in Industry 4.0 can improve the work efficiency of doctors and help more patients. The application direction of AI in pharmaceutical logistics can be roughly divided into two types: First, AI technology empowers intelligent devices, and second, it improves labor efficiency through software systems. This article summarizes the digital development of the pharmaceutical industry in the United States, the European Union, and Japan, analyzes the current status and shortcomings of digital development in Pakistan’s pharmaceutical industry, and proposes digital development strategies for Pakistan’s pharmaceutical industry. The development of the domestic Internet has promoted the reform and progress of the pharmaceutical industry, but the policy development of digital applications needs to catch up. The digital transformation of the pharmaceutical industry faces problems such as the need for digital technology support for new drug research and development, medical data security problems, and the need for service platform construction for pharmaceutical enterprises. Finally, this article provides feasible suggestions for the better application of AI technology in Pakistan’s pharmaceutical industry by reviewing the research status, development trends, and development bottlenecks of AI technology in this area.

Battlefield Spectrum Management (BSM) has become an increasingly complex function in modern warfare. Many factors contribute to this situation, two of which are the proliferation of dedicated electronic warfare (EW) systems and the exponential increase in speed and volume of information exchange. Manual BSM techniques are no longer responsive to the modern electronic warfare battlefield requirements. Automated aids such as the Army Tactical Frequency Engineering System (ATFES) and adaptive HF technology to assist in network management have been introduced, are helpful, but do not provide a total solution. The application of artificial intelligence (AI) and expert system (ES) technology is explored in this paper as a means to enhance modern BSM.

With the continuous advancement of artificial intelligence (AI) technology, an increasing number of enterprises have integrated it into the field of human resource management, presenting both new opportunities and challenges. AI technology can assist the human resources department in more efficiently processing and analyzing large amounts of data during the recruitment process, thereby optimizing recruitment procedures and enhancing the overall organizational efficiency and employee satisfaction. The aim of this study is to provide valuable guidance and reference for enterprises to effectively utilize AI technology in recruitment efforts. Initially, this article outlines the current application of AI technology in corporate human resource management. Subsequently, through specific cases, it conducts an in-depth analysis of the practical application of AI in the recruitment process. Finally, a comprehensive evaluation of the cost-effectiveness and applicability of AI technology in recruitment is presented.

In addition to creativity, modern landscape design also needs some auxiliary tools to predict the design effect, so as to ensure the design effect before the completion of the landscape. With the development of computer network and electronic information technology, human society has entered the information age, and artificial intelligence technology has been applied to all walks of life. With the continuous development of artificial intelligence, artificial intelligence has existed in all aspects of our lives and has a great impact on our lives. At the same time, through the achievements in recent years, artificial intelligence gradually affects other fields such as design. Therefore, combined with the current situation of landscape design auxiliary system in China, this paper introduces artificial intelligence and information technology into it, and makes the landscape design auxiliary system get further development with the help of artificial intelligence and information technology. This paper first introduces artificial intelligence, analyzes the advantages and development trend of automatic informatization of landscape design auxiliary system, and finally discusses the application of artificial intelligence technology in landscape design auxiliary system.

Artificial intelligence is the main front to build new quality productive forces and is leading the fourth revolution of science and technology of human beings. The wide application of artificial intelligence technology has triggered people's concerns about unemployment. However, we do not have to worry too much. Artificial intelligence technology will not only replace human work, but also create more job opportunities and higher value-added work. It is imperative to conduct special research on labor force training and re-employment for industries and positions that may be replaced by artificial intelligence in the future, and take the initiative to respond in advance and take comprehensive and effective measures as soon as possible, so as to better adapt to the application and development of artificial intelligence technology.

In the last few years, with the rapid development of artificial intelligence (AI) technology, its application in the medical field has become more and more in-depth and extensive, especially the research of computer vision technology in medical image analysis and recognition has achieved many results. It is recognized by experts engaged in imaging diagnosis in the medical field, which has provided a great boost to the development of precision medicine. However, the application and development of artificial intelligence in the field of medical imaging is still in its infancy, and faces many technical and ethical challenges, such as data quality issues, data security issues and clinical application issues. The application of AI technology in medical imaging needs to be further adjusted and improved in combination with social development and actual needs. In this paper, we discussed the usages of artificial intelligence in medical imaging and provided new sights for the sustainable development and improvement in this area, as well as the challenges faced by others.

The article is devoted to the study of the development of artificial intelligence (AI) technologies and its presentation as the fundamental basis of the digital economy concept, which is implemented within the framework of the Industry 4.0. The purpose of the research carried out in the article is to analyze the areas of effective application of AI methods and tools, as well as to assess the potential for introducing AI into the business sphere. The theoretical and practical aspects of the application of AI technologies in various sectors of the economy are considered. It has been determined that the high cost of introducing technologies and establishing the stages of its functioning is a significant barrier to the use of AI. The data obtained during the course showed that organizations that have invested in identifying, aggregating, standardizing and labeling data will be well placed to combine AI with analytics, IoT and other technologies. It has been found that DevOps techniques can be used to successfully integrate and organize teams, placing development teams and operations teams in a feedback loop for ongoing collaboration and interactive changes to new products. Criteria for assessing the level of maturity of the branches of AI have been determined.

With the rapid development of the financial industry and artificial intelligence (AI) technology, the application of AI robots in finance has become a widely discussed topic in the academia. As an important part of the financial market, the secondary trading market of virtual currencies is characterized by high volatility, risk and decentralization, which poses significant challenges for traditional trading methods. AI technologies, especially machine learning and deep learning algorithms, provides a new path to optimize trading strategies and reduce investment risks thanks to their powerful data processing, pattern recognition and real-time analysis capabilities. This paper focuses on the characteristics of AI technology and the secondary trading market of virtual currencies, as well as the practical application of artificial intelligence technology in the financial industry, and explores the potential of applying AI robots to virtual currency trading. The research shows that AI robots can provide more accurate decision support for investors through massive data analysis, automatic trading execution and real-time risk assessment, improving market response speed and investment return rate. If the combination of AI robots and virtual currency trading is successful, it is expected to create more long-term and stable returns for investors, providing important theoretical and practical value for the development of financial investment.

This article is devoted to the creation of a model of observational diagnostics for patients in dentistry using artificial intelligence as an information and measurement system. Artificial intelligence technology and algorithms in the field of clinical and radiographic image analysis in general dentistry and orthopedics have become the most common systems, contributing to accurate and timely diagnosis of a particular patient. Along with clinical practice images, radiographs are key tools for graphic visualization of the patient's dentition. A model of observational diagnostics for patients using artificial intelligence technology as the latest tool in the healthcare industry can become a structured method of information standardization and measurements in general dentistry. The model of observational diagnostics can serve as a fundamental component of functional diagnostics based on artificial intelligence algorithms, since they have a special potential for increasing the reliability and consistency of diagnostic measurements and information used by a dentist during treatment planning and restoration of the dentition. The model of observational diagnostics of dental patients presented by the authors implies a significant step forward in the development of highprecision methods of functional diagnostics, monitoring and analysis of patient condition measurements. The algorithm of the observational diagnostics model was integrated into the program, the operation of which is based on artificial intelligence technology in order to increase the efficiency, consistency, optimality and accuracy of the processes carried out in clinical practice. The purpose of the study is to determine the characteristics of the model of observational diagnostics of dental patients using artificial intelligence as an information and measuring system. Main results of the study: 1) the characteristics of the practical application of artificial intelligence technology for radiographs, clinical images of patients' teeth are provided; 2) the essential aspects of the model of observational diagnostics of dental patients, as well as the features of its practical application for planning dental treatment of patients are highlighted; 3) the results of practical testing of the model of observational diagnostics of dental patients are reflected (using the example of detection and treatment of caries). Research materials: the results of academic studies on the assessment of functional diagnostics of oral cavity and dentition pathologies using artificial intelligence technology; practical testing of the model of observational diagnostics for dental patients (using the example of detection and treatment of caries in a 49yearold woman). Research methods: systematization, comparative analysis, contrastive analysis, generalization, abstractlogical method, induction, deduction, systems approach, data conceptualization, graphical and tabular visualization of data, construction of informationmeasuring systems, artificial intelligence methods, study of clinical images and radiographs of patients' dental arches. The main conclusions of the study: 1) information and measuring instruments, the operation of which is based on artificial intelligence technology, have become the basis for the rapid processing of significant amounts of information, increasing the accuracy and efficiency of clinical decisions in dentistry. These information and measuring systems allow us to determine complex patterns on radiographs and clinical images of dental arches, to increase the degree of accuracy of functional diagnostics, in particular, in the presence of subtle pathologies and disorders; 2) artificial intelligence technology cannot replace a qualified dentist, such information and measuring systems only complement the accumulated human professional experience, allowing us to jointly carry out functional diagnostics of patients with a dental profile; 3) the potential of artificial intelligence technologies to create comprehensive plans and reports for dental treatment and dental restoration forms the basis for the joint activities of the latest tools and a dentist. In the context of the study, it is noted that artificial intelligence algorithms have become a powerful informationmeasuring tool for improving the decisionmaking process in dental practice, since digital technology promptly and quickly provides feedback to the dentist about missed anomalies or suboptimal methods of dental treatment and restorative medicine. Integration of the model of observational diagnostics for dental patients will make it possible to form an algorithm for the operation of artificial intelligence that fully complies with the recommendations for functional diagnostics and dental treatment of patients, developed on the basis of factual information. The use of artificial intelligence algorithms in dental practice will increase the efficiency of the general industry standard for providing dental services to patients.