Application Of Intelligent System Research Articles

Innovative Applications of Image Media and Intelligent Service Systems

With the continuous development of artificial intelligence, image media, and intelligent service systems are being constantly innovated and improved. Personalized customization, multimodal interaction, wearable devices and smart homes, artificial intelligence, and sustainable design will be the trend of future development. The intelligence and personalized customization of human-computer interaction will become the focus of future development, and sustainable design will also receive increasing attention. This study has significant reference value for the innovative application of image media and intelligent service systems.

The growing use and impact of artificial intelligence technologies in the tourism industry

The research relevance is determined by the increasing role of artificial intelligence in the tourism business, which was demonstrated during the outbreak of the COVID-19 pandemic in Bali, resulting in a decline in the number of tourists visiting the island. The research aims to investigate the real-life experience of applying artificial intelligence systems in the tourism industry to address the challenges of developing the tourism industry in Bali, Indonesia. The basis of the methodological approach is a combination of theoretical methods of analysis and synthesis of the collected information covering the practical experience of the application of artificial intelligence systems in the tourism industry, as well as a survey of customers of travel agencies that have used such systems in trips to Bali. The research results show that artificial intelligence can significantly help the tourism business in Bali, as the number of tourists visiting the island dropped by 40% during the pandemic, resulting in a reduction in the number of tourism staff. The practical application of systems based on artificial intelligence opens up a wide range of business opportunities, as it allows for optimizing the activities of tourism firms and providing customers with high-quality services with highly technical equipment. The use of neural network mathematical models of tourist firms’ activity based on AI, allows them to achieve high speed of data processing, which allows tourist firms numerous competitive advantages and significantly improves the quality of their services. The practical significance of the results of this scientific research lies in the possibility of their application in the organization of the activities of enterprises in the sphere of tourism business, built on the use of digital technologies and systems based on artificial intelligence.

Sustainable manufacturing through application of reconfigurable and intelligent systems in production processes: a system perspective

Sustainable production aims at creating products from processes that minimize environmental impact, energy consumption and natural resources. Customers and markets are ever more leaning towards digital, custom, and flexible solutions with lower environmental impact. Hence, Industry 4.0 (I4.0) solutions are increasingly including social and environmental sustainability aspects. We focus on the realization of an infrastructure integrating industrially relevant application modules by combining system reconfigurability and artificial intelligence, towards sustainable production. To meet the final goal of sustainable production, we address four challenges considering flexibility and sustainability in production in a holistic way: (1) developing infrastructural and methodological tools to support companies to explore the potential of I4.0 towards sustainable production; (2) managing the configurability and customization possibilities of products; (3) effectively handling the flexibility provided by a production system with rapid reconfiguration capabilities; (4) integrating hardware and software flexibility by using reconfigurable robotics and machine learning methods. By developing and connecting different application modules, we obtain a physical demonstrator which represents on the one hand an exemplary scenario of reconfigurable and flexible production system; on the other, it enables new research activities and insights with a see, touch & feel approach for industrial and research realities.

The Problematic Area of Philosophical Discourses on the Application of Artificial Intelligence Systems in Society

The study relevance lies in understanding strategic objectives' content concerning intelligent technologies’ application. The development and application of artificial intelligence in various branches of human activity carry the potential for global changes in society, which, in methodological terms, increases the relevance of considering these problems. The study of ethical problems of artificial intelligence in the concept of sustainable development of society is connected with the dynamic development of innovative artificial intelligence (AI) technologies, which are considered a process of becoming a new technosubject in the context of neuroscience development. The article emphasizes that the development of artificial intelligence acts as an innovative form of technology development when a new kind of human-machine technosubject is formed. The authors identify social problems of artificial intelligence application as the digitalization of life becomes a global anthropological challenge. Innovations of artificial intelligence are directly related to a number of ethical problems, as they contribute not only to the sustainable development of society but also cause dehumanization of relations between people and society. Based on the analysis of qualitative changes in scientific and technological research, using human-machine devices is becoming inevitable. Humankind must develop ethical guidelines for the application of AI systems.

RETRACTED ARTICLE: Application of intelligent football training system based on IoT optical imaging and sensor data monitoring

RETRACTED ARTICLE: Application of intelligent football training system based on IoT optical imaging and sensor data monitoring

High Seebeck Coefficient Inorganic Ge15Ga10Te75 Core/Polymer Cladding Fibers for Respiration and Body Temperature Monitoring.

Wearable thermal sensors based on thermoelectric (TE) materials with high sensitivity and temperature resolution are extensively used in medical diagnosis, human-machine interfaces, and advanced artificial intelligence. However, their development is greatly limited by the lack of materials with both a high Seebeck coefficient and superior anticrystallization ability. Here, a new inorganic amorphous TE material, Ge15Ga10Te75, with a high Seebeck coefficient of 1109 μV/K is reported. Owing to the large difference between the glass-transition temperature and initial crystallization temperature, Ge15Ga10Te75 strongly inhibits crystallization during fiber fabrication by thermally codrawing a precast rod comprising a Ge15Ga10Te75 core and PP polymer cladding. The temperature difference can be effectively transduced into electrical signals to achieve TE fiber thermal sensing with an accurate temperature resolution of 0.03 K and a fast response time of 4 s. It is important to note that after the 1.5 and 5.5 K temperatures changed repeatedly, the TE properties of the fiber demonstrated high stability. Based on the Seebeck effect and superior flexibility of the fibers, they can be integrated into a mask and wearable fabric for human respiration and body temperature monitoring. The superior thermal sensing performance of the TE fibers together with their natural flexibility and scalable fabrication endow them with promising applications in health-monitoring and intelligent medical systems.

The impact of artificial intelligence systems and technology on the sustainability of the quality of financial reports

The research aims to identify the concept of sustainability in financial reports and the arguments against and in favor of it when applied in business companies. Identify the factors affecting the process of sustaining the quality of financial reports Identify artificial intelligence techniques and know the expected impact of their application on business companies. Clarify the role of artificial intelligence techniques on the sustainability of the quality of financial reports. To achieve the objectives of the research The researcher organized a questionnaire form that included the main axes of artificial intelligence and the extent of its impact on the sustainability of the quality of financial reports, and the research reached several results, the most important of which is that artificial intelligence is one of the most important technologies that have the impact of the value and usefulness of the information shown by financial reports in a fast way and with a distinctive presentation, which makes it more expensive and enhances the sustainability of the quality of financial reports. The application of artificial intelligence systems and techniques is important and inevitable in the field of accounting, which will lead to high quality and continuity in the validity of information, which in turn will lead to the sustainability and quality of financial reports. The research recommended several recommendations, the most important of which is to enhance the use and application of artificial intelligence systems and techniques in economic units to raise the efficiency of accounting operations, which in turn enhances the sustainability of the quality of financial reports. Economic units should provide adequate assistance to the components of artificial intelligence from expert systems, knowledge representation and automatic learning in acquiring knowledge stored in databases that help raise the efficiency of information and the sustainability of the quality of financial reports.

Intelligent Control Systems for Autonomous Re-entry and Landing of Reusable Rockets

The project requires integration of cutting-edge technologies such as sensor integration, trajectory planning, control system, and safety measures to ensure safe and exact landing. The research presents a development and application of intelligent control system for autonomous re-entry and landing that is specifically created for reusable rocket. The primary goal of our research is to develop an intelligent control system that can autonomously guide reusable rocket through the challenging process of re-entering the atmosphere and landing. Advance sensor integration is essential for gathering real-time data from various sensors and enabling the control system to make decisions during crucial descent stages. In order to lessen risk to the rocket and its payload, it also covers trajectory planning, which optimizes the flight route to assure precision upon landing. Safety is the first priority throughout the project, with strong safety measures being implemented to reduce potential risk and assure protection. An intelligent control system that has been designed and built can autonomously direct a reusable rocket through the difficult re-entry and landing process. This work offers a reliable and efficient method for the autonomous re-entry and landing of reusable rockets, making a substantial addition to the field of rocketry. By running efficiently and sustainably, the intelligent control system created here has the potential to revolutionize the space sector.

Application of intelligent systems for the development of inclusive education in educational institutions

The current level of development of information technology makes it possible to create software products that develop and promote inclusive education in higher education institutions. With the use of intelligent information systems, education becomes more developed, humane and effective not only for students with special educational needs, but also for healthy students. The paper proposes the creation of a mobile application - an assistant that will facilitate orientation in the university space. The application will help to create conditions that meet the requirements and needs of each individual, regardless of the peculiarities of their development

Exploring the Role of Artificial Intelligence in Modern Education

The integration of Artificial Intelligence (AI) into modern education has the potential to revolutionize teaching and learning processes, offering personalized and adaptive learning experiences that were previously unattainable. This review paper explores the multifaceted roles that AI plays in contemporary educational settings, examining its applications in intelligent tutoring systems, adaptive learning platforms, and automated administrative tasks. It also discusses AI's impact on student engagement and achievement, highlighting both the opportunities and challenges associated with its implementation. The paper further investigates the ethical considerations and potential biases inherent in AI systems, emphasizing the importance of equitable access and the need for robust data privacy measures. Through a comprehensive analysis of current research and case studies, this review provides a critical overview of how AI technologies are shaping the future of education, offering insights into their effectiveness, limitations, and future directions for research and development.

Applications of Artificial Intelligence in Microbial Diagnosis.

The diagnosis is an important factor in healthcare care, and it is essential to identify microorganisms that cause infections and diseases. The application of artificial intelligence (AI) systems can improve disease management, drug development, antibiotic resistance prediction, and epidemiological monitoring in the field of microbial diagnosis. AI systems can quickly and accurately detect infections, including new and drug-resistant strains, and enable early detection of antibiotic resistance and improved diagnostic techniques. The application of AI in bacterial diagnosis focuses on the speed, precision, and identification of pathogens and the ability to predict antibiotic resistance.

Monitoring Soft Shape Surface Deformation via Optical Images for the Distinction of Contact State

The deformability of elastomer surfaces offers the opportunity to capture multimodal physical information, which opens up possibilities for applications in intelligent interactive systems and flexible electronics. Accurately identifying the surface deformation of elastomers has been a key issue for understanding the contact state in a soft touch. However, effective monitoring of the deformed surface topography during soft‐touch processes is difficult due to the complexity of interfacial deformation. Herein, the optical detection method based on an ideal diffuse reflection model is proposed to monitor the deformation of the elastomer, enabling the acquisition of a spatially continuous deformation of the surface in a soft touch. This optical system with the parallel incident light can distinguish the elastomers’ surface deformation field by constructing the correlation between the reflected light irradiance and the surface deformation angle. This method allows for the perception of the contact area. Through the deep learning method, the recognition rate can reach more than 84.24% when there are slight differences in the contact of objects with different geometric shapes. The design offers valuable insights for contact state detection tasks and facilitates soft‐touch sensing functions through the high precision of optical signal acquisition.

Concept of Chatbot as an Intelligent Dialogue Assistant

The purpose of the study is to compare chatbots, assess their ability to perform tasks, analyze their impact on consumers, and determine the areas of application and risks associated with the use of intelligent dialogue assistants. The research methods used in the study include analysis and systematisation of information, synthesis and generalization of theoretical data based on a review of current research, which made it possible to assess the risks and benefits of using chatbots for businesses and ordinary users. The scientific novelty lies in the analysis of technologies for creating intelligent dialogue assistants and determining the areas of application of chatbots. A study of the areas of application of modern intelligent dialogue systems has shown the high efficiency of using chatbots to solve typical user problems. The article provides statistical data on how satisfied Internet users are with contacts with chatbots and describes recommendations for improving such dialogue systems. An analysis of the role of artificial intelligence in the operation of dialogue systems has shown possible risks from the impact of technology on the minds of users. Conclusions. One of the most obvious trends in chatbots in 2023 is that their use will become more widespread and chatbots themselves will become more sophisticated. Their advantage is free customer service and data collection, which can then be used for marketing research. Over time, chatbots will be used in such areas as marketing, recruitment, education, and medicine. Their ability to perform a wide range of tasks makes chatbots attractive for e-commerce stores, B2B companies, real estate, healthcare, and education. In the future, intelligent dialogue agents will work with huge, dynamic, heterogeneous data streams, providing powerful capabilities for adaptive and flexible interaction. Dialogue systems have become successful and reliable due to the large amount of real-world user data available to their developers. However, these systems still exhibit rather limited communication behaviour modelled on information retrieval tasks. Chatbots are developed for research purposes, but they are often limited to a narrow, manually created domain. The newest trend in conversational agent development involves neural networks and models trained on huge collections of dialogue data without detailed specifications of dialogue states. These models lack tractability and interpretability due to their black-box nature. They also require extensive supervised training data to be competitive.

Analysis of Intelligent Construction Technology of Building Prefabricated Components Based on BIM

In this paper, the intelligent construction of prefabricated components is analyzed based on building information modeling (BIM). It includes an overview of BIM-based prefabricated components and intelligent construction, intelligent production lines in BIM-based intelligent construction systems, and analysis of the application of intelligent manufacturing in BIM-based prefabricated components. It was found that the determination of construction goals, the establishment of intelligent construction systems, and the application of intelligent construction systems are all areas that need to be emphasized in producing prefabricated building components through intelligent construction. It is hoped that this analysis can provide some reference for the application of intelligent construction and the improvement of the quality of prefabricated building components.

An investigation study on the interpretation of ultrasonic medical reports using OpenAI's GPT-3.5-turbo model.

Ultrasound medical reports are an important means of diagnosing diseases and assessing treatment effectiveness. However, their professional terms and complex sentences often make it difficult for ordinary people to understand. Therefore, this study explores the clinical value of using artificial intelligence systems based on ChatGPT to interpret ultrasound medical reports. In this study, a combination of online and offline questionnaires were used to survey both physicians and non-medical individuals. The questionnaires evaluated ChatGPT's interpretation of ultrasound reports from both professional and comprehensibility perspectives, and the results were analyzed using Excel spreadsheets. Additionally, a portion of the research content was evaluated using the Likert Scale 5-point method in the questionnaire. According to survey results, 67.4% of surveyed doctors believe that using ChatGPT for interpreting ultrasound medical reports can help improve work efficiency. At the same time, 69.72% of non-medical professionals believe it is necessary to enhance their understanding of medical ultrasound reports through ChatGPT interpretation, and 62.58% support the application of ChatGPT to ultrasound medical reports. The non-medical group's understanding of ultrasound medical reports significantly improved (p < 0.01) after implementing ChatGPT, However, 67.49% of the general public are concerned about ChatGPT's imperfect functionality, which may cause misleading information. This reflects that the public's trust in new technology is not high enough, and they are also worried about possible privacy leaks and security issues with ChatGPT technology. The higher acceptance and support of non-medical individuals for the interpretation of medical reports by ChatGPT might be due to the system's natural language processing abilities that allow them to better understand and evaluate report contents. However, the expertise and experience of physicians are still irreplaceable. This suggests that the ChatGPT-based ultrasound medical report interpretation system has certain clinical value and application prospects, but further optimization is necessary to address its shortcomings in data quality and professionalism. This study provides a reference and inspiration for promoting the application and development of ultrasound technology and artificial intelligence systems in the medical field.

Application of intelligent pacifying strategy information system in reducing short-duration MRI sedation rate in children

Exploring and analyzing the effectiveness of an intelligent pacifying strategy information system based on assisted decision-making in reducing the sedation rate of children in short-duration magnetic resonance scans. A total of 125 children aged 3–5 years who underwent MRI scans at a children's hospital from July to December 2021 participated in this study, during which 62 children were assigned to a control group from July to September, and 63 children were assigned to an intervention group from October to December. In the intervention group, the pacifier used the intelligent pacifying strategy information system based on assisted decision-making to assess children's temperament, and utilization of a system-generated pacification plan according to assessment results. In the control group, the pacification plan was formulated by the pacifier based on their own experience and discussion with families of the participating children. The success rate of pacification, duration of pacification, and image quality of the two groups were compare. Compared with the control group, the intervention group had a higher success rate of pacification and lower duration of pacification, with statistically significant differences (P < 0.05). There was no difference in image quality between the two groups (P > 0.05). The intelligent pacifying strategy information system can help reduce the use of the sedative drugs in children aged 3–5 years who underwent a short-duration MRI scan.

Research and application of intelligent information processing system in power hierarchical control

Abstract In this paper, we propose a distributed secondary FM control method for microgrids to address the problem that the operating cost of microgrids increases significantly under load dropout and use the consistency algorithm to make the system reasonably distribute the load power to re-achieve the stable state. In the actual microgrid, the communication delay discusses the influence of information transmission and system stability. Simulation experiments are used to verify and set different convergence coefficients to obtain a suitable range of convergence coefficients. Then, the microgrid economic power allocation algorithm was used to describe the operating cost of microsources and limit the generator output power of the microgrid system to obtain the microgrid economic power allocation values. The cost amount of MG1 is $1327.3 in the equal micro-increase rate consistency calculation. The control condition test reduced 73.14 kWh in the overall load outage of intelligent microgrid control. The power system’s efficiency can be improved through a control method using intelligent information processing.

The application of intelligent tutoring systems and social robots in autism treatment

This study examines the utilization of intelligent tutoring systems (ITS) and social robots as innovative technologies to augment the treatment of autism. In the context of artificial intelligence, these interactive systems offer personalized and engaging interventions, holding great promise for individuals on the autism spectrum. While the research in this field is still evolving and lacks maturity, early findings indicate increased engagement and potential for improved learning outcomes among autistic children. Intelligent tutoring systems, capable of adapting to individual learners, exhibit promise for delivering personalized and effective interventions. Social robots, with their interactive functionalities, provide a distinct avenue for fostering social communication and skill development. Moreover, these technologies have the potential to deliver cost-effective intervention methods, thus enhancing accessibility for children with autism and their families. However, further research, development, and integration into existing therapeutic approaches are imperative to fully actualize their potential. By harnessing the power of intelligent tutoring systems and social robots, it is possible to pave the way for more effective, personalized, and engaging autism treatment, positively impacting the lives of individuals on the autism spectrum.

Digitalization of criminal proceedings in Russia and on the international stage

The article considers the application of artificial intelligence systems in criminal proceedings. In jurisprudence, it is possible to use information technologies through the introduction of electronic document management and remote holding of court sessions. However, the question of automating decision making remains open, especially in the field of criminal procedure. The purpose of the present study was to identify the positive and negative features of artificial intelligence systems operating in the criminal practice of various countries and to consider the possibility of introducing such systems into the Russian criminal process, taking into account their compliance with their purpose and principles. The methodology included a systematic method of scientific cognition, a comparative legal method and a formal logical method, etc. During the research, the regulatory and legal framework of different countries was studied, which makes it possible to apply artificial intelligence systems in criminal proceedings, as well as to assess the work of foreign and Russian researchers in this field. It is concluded that the implementation of such principles as: the independence of judges and the adversarial nature of the parties in criminal proceedings are difficult in a legal framework dominated by artificial intelligence.

Flexible wearable intelligent sensing system for wheelchair sports monitoring

The application of wearable intelligent systems toward human-computer interaction has received widespread attention. It is still desirable to conveniently promote health and monitor sports skills for disabled people. Here, a wireless intelligent sensing system (WISS) has been developed, which includes two ports of wearable flexible triboelectric nanogenerator (WF-TENG) sensing and an upper computer digital signal receiving intelligent processing. The WF-TENG sensing port is connected by the WF-TENG sensor and flexible printed circuit (FPC). Due to its flexibility, the WF-TENG sensing port can be freely adhered on the surface of human skin. The WISS can be applied to entertainment reaction training based on human-computer interaction, and to the technical judgment and analysis on wheelchair curling sport. This work provides new application opportunities for wearable devices in the fields of sports skills monitoring, sports assistive devices and health promotion for disabled people.