Future Technology Trends Research Articles

Artificial Intelligence Applications in English News Translation: Strategies and Research

The rapid advancement of Artificial Intelligence (AI) is significantly transforming the field of translation, especially in English news translation. This paper aims to explore the application strategies of AI in English news translation and its current research status. First, it introduces the basic concepts of AI and machine translation, reviews the development history of machine translation technology, and analyzes the unique requirements of news translation. Then, it discusses key application strategies of AI in news translation, including data collection and processing, model selection and training, translation quality assessment, and real-time translation technology. Additionally, the paper analyzes major challenges in AI applications, such as translation accuracy, cultural and contextual understanding, and data privacy and security, and proposes corresponding solutions. Finally, it explores future development trends in AI translation technology, including technological advancements, application expansion, and ethical and societal impacts. This paper aims to provide comprehensive references and in-depth insights for researchers in related fields.

Artificial Intelligence and International Law: The Impact of Emerging Technologies on the Global Legal System

With the rapid development of artificial intelligence technology, its impact on international law is becoming increasingly significant. This paper explores the application of AI in international relations and the challenges it poses to existing legal systems, analyzing AI regulation within the current international law framework and the exploration of emerging international legal norms. Through specific cases, the paper elaborates on legal issues in the fields of intelligent weapons, cybersecurity, and data protection, emphasizing the importance of international cooperation and global governance mechanisms in addressing these challenges. Finally, the paper looks forward to future trends in AI technology and international law’s response strategies, proposing the necessity of constructing effective legal frameworks and ethical guidelines to promote the sustainable development of AI technology and the healthy development of the global legal system.

DFOS Technology in Geoengineering Monitoring in the Past 35 Years: A Bibliometric Analysis.

DFOS (distributed fiber-optic sensing) technology has shown the potential to increase the accuracy of measurement after years of development and experimenting in geoengineering monitoring. To better understand the development of DFOS technology and its contribution to geoengineering, an objective and data-driven review of the development process of DFOS technology in construction was completed. The review was accomplished by using text mining methods on the Web of Science, covering a wide range of relevant data, including 3970 articles from 1989 to 2023. The results indicate that DFOS technology research demonstrates the typical characteristics of multi-author, multi-country, and multi-institution collaborations, spanning various research fields. Over the past 35 years, the number of published articles has exhibited exponential growth, with China making significant contributions and leading in terms of its total publication growth rate, which has been higher than that of the United States since 2016. In the analysis of author keywords, emerging technologies, such as machine learning and distributed acoustic sensing, have garnered attention. The findings contribute to a comprehensive understanding of the development, impact, and future trends of DFOS technology in geotechnical engineering, offering valuable insights for researchers, scholars, and students in the field and inspiring new approaches for research methods in this domain.

Practice and Research on Blockchain Technology Empowering Digital Art Economy

Blockchain technology, with its characteristics of decentralization, security, transparency, and traceability, brings new opportunities and challenges to the development of the digital economy and the digital art economy. Based on existing literature research, this paper deeply analyzes the core concepts and working principles of blockchain technology and explains its dual role in the digital economy and digital art economy from a theoretical perspective. On this basis, this paper conducts an empirical study on the application of blockchain technology in the digital economy and digital art economy through typical cases and explores future development trends of blockchain technology in this field.

Current Status and Future Trends of Green Metallurgical Technology

Current Status and Future Trends of Green Metallurgical Technology

Exploring the Path and Practice of Integrating Information Technology into Classroom Teaching in Vocational Colleges

With the rapid development of information technology, its application in the field of education is becoming increasingly widespread, bringing profound changes to classroom teaching in vocational colleges. The integration of information technology not only innovates teaching methods and enriches teaching resources, but also promotes the updating of educational concepts and the innovation of teaching models. This article aims to explore the path and practical methods of integrating information technology into classroom teaching in vocational colleges, comprehensively analyze the current application status of information technology in teaching, including its specific performance in improving teaching effectiveness, promoting student self-directed learning, and optimizing teacher-student interaction. Meanwhile, this article will propose specific implementation strategies based on the actual needs of vocational colleges, such as strengthening the construction of information technology infrastructure, cultivating teachers' information technology application abilities, and developing information technology teaching resources suitable for vocational education. Finally, this article will also look forward to the future development trend of information technology in classroom teaching in vocational colleges, in order to provide useful reference and inspiration for improving the quality of education and teaching in vocational colleges.

Next gen cybersecurity paradigm towards artificial general intelligence: Russian market challenges and future global technological trends

Next gen cybersecurity paradigm towards artificial general intelligence: Russian market challenges and future global technological trends

Application of virtual simulation technology in epidemiology education: a systematic review

Objective: To systematically review the progress, advantages, disadvantages, precautions and future trends of virtual simulation technology used in epidemiology teaching. Methods: A systematical literature retrieval was conducted by using PubMed, Web of Science, Embase, China National Knowledge Infrastructure, Wanfang Data and VIP Paper Check System with key words of epidemiology, teaching and virtual simulation, and the literatures included were screened and classified with narrative integration method. Chinese virtual simulation teaching platforms were used to select the literatures about existing epidemiology virtual simulation teaching projects for integration and analysis. Results: A total of 22 articles were included (7 in Chinese and 15 in English), most of which were teaching projects for students majoring in Public Health. We also found 24 national first-class courses and 21 provincial first-class courses in virtual simulation of epidemiology in China. The application of virtual simulation technology in epidemiology education is still in its infancy, and the interaction degree is mostly moderate. It is mainly used in three scenarios: improving the visualization degree of complex concepts and structures, training the operational skills through low-risk and low-cost virtual environment, serving as an effective supplement to the teaching of epidemiological field investigation and response to public health emergencies. In terms of effect, it is conducive to students' understanding of epidemiology related phenomena and principles, and has the advantages of breaking through time and space constraints, reducing teaching costs and risks, improving students' attention and satisfaction and so on. However, it also faces the lack of foundation in the initial stage, and some students have problems such as psychological and physiological discomfort. In the future, we need to optimize the development process, program design and so on. At the same time, we should conduct more in-depth research on cost calculation, effect evaluation and curriculum integration. Conclusions: The application of virtual simulation technology in epidemiology education is an important part of training high-level applied public health talents. We encourage to actively carry out virtual simulation teaching in epidemiology, and train public health talents with Chinese characteristics.

The Future of Environmental Engineering Technology: A Disruptive Innovation Perspective

Scientific and technological revolutions and industrial transformations have accelerated the rate of innovation in environmental engineering technologies. However, few researchers have evaluated the current status and future trends of technologies. This paper summarizes the current research status in eight major subfields of environmental engineering—water treatment, air pollution control, soil/solid waste management, environmental biotechnology, environmental engineering equipment, emerging contaminants, synergistic reduction of pollution and carbon emissions, and environmental risk and intelligent management—based on bibliometric analysis and future trends in greenization, low carbonization, and intelligentization. Disruptive technologies are further identified based on discontinuous transformation, and ten such technologies are proposed, covering general and specific fields, technical links, and value sources. Additionally, the background and key innovations in disruptive technologies are elucidated in detail. This study not only provides a scientific basis for strategic decision-making, planning, and implementation in the environmental engineering field but also offers methodological guidance for the research and determination of breakthrough technologies in other areas.

Discovering patterns and trends in customer service technologies patents using large language model

The definition of service has evolved from a focus on material value in manufacturing before the 2000s to a customer-centric value based on the significant growth of the service industry. Digital transformation has become essential for companies in the service industry due to the incorporation of digital technology through the Fourth Industrial Revolution and COVID-19. This study utilised Bidirectional Encoder Representations from Transformer (BERT) to analyse 3029 international patents related to the customer service industry and digital transformation registered between 2000 and 2022. Through topic modelling, this study identified 10 major topics in the customer service industry and analysed their yearly trends. Our findings show that as of 2022, the trend with the highest frequency is user-centric network service design, while cloud computing has experienced the steepest increase in the last five years. User-centric network services have been steadily developing since the inception of the Internet. Cloud computing is one of the key technologies being developed intensively in 2023 for the digital transformation of customer service. This study identifies time series trends of customer service industry patents and suggests the effectiveness of using BERTopic to predict future trends in technology.

Guest Editorial: Advancements and future trends in noise radar technology

Guest Editorial: Advancements and future trends in noise radar technology

Integrasi Artificial Intelegent Berbasis Sistem Operasi Android pada Smart Home

This study explores the integration of Artificial Intelligence (AI) into smart home systems using the Android operating system to enhance security, privacy, efficiency, and user comfort. Key security measures include data encryption, robust authentication methods, sandboxing, and AI integration, specifically leveraging Google Assistant for improved privacy controls. Maintenance strategies for smart homes emphasize energy management, device condition monitoring, and enhanced safety features. AI adaptation to user habits enhances productivity and situational awareness, while Android's role in connecting various IoT devices facilitates remote control and energy-efficient recommendations. Methods such as Eco Android, Greensource, byte-code transformations, and automated energy diagnosis tools aid in optimizing energy use. The comparison between smart and non-smart homes highlights the efficiency and convenience of smart homes despite higher installation costs and potential network issues. The development and deployment of an Android-based application, SafeHause, exemplifies practical implementation, emphasizing end-to-end testing, security updates, and user education. The findings affirm that AI integration with Android significantly improves the smart home experience by enhancing energy optimization, data security, and personalized user interaction. Furthermore, the study discusses future trends in smart home technology, such as the potential for more advanced AI algorithms and machine learning techniques to provide even greater personalization and automation. The importance of regular software updates and the role of user feedback in refining smart home systems are also highlighted, ensuring that these technologies continue to evolve and meet user needs effectively.

Cutting-Edge Developments in Microemulsion Technology: Diverse Applications, Formulation Innovations, and Future Horizons

Microemulsion technology has emerged as a versatile and dynamic solution with widespread applications across various industries. This review delves into the diverse applications, formulation innovations, and anticipated future trends in microemulsion technology. From pharmaceuticals and food to cosmetics and enhanced oil recovery, the unique properties of microemulsions have paved the way for numerous breakthroughs. We explore the formulation strategies that contribute to their stability and efficiency, shedding light on the key factors influencing their success. Additionally, the article highlights the current landscape of microemulsion applications and discusses how ongoing research is shaping the future of this promising technology.

The development status and future trends of lubricant additives technology: Based on patents analysis.

In order to reveal the current status and future trends of lubricant additives, this study analyzes the structured and unstructured data of 77701 lubricant additive patents recorded by Patsnap. The results show that China is the country with the largest number of patents in this field, and the United States is the main exporting country of international technology flow; the current research and development of lubricant additives is dominated by multifunctional composite additives; environmentally friendly additive compositions are the current research hotspot; and more environmentally friendly and economically degradable additives have more development potential in the future. Overall, this study provides a comprehensive understanding of the research and application of lubricant additives and contributes to the future development of the lubricant industry.

Advancements in Filter Technology: Evolution and Applications

This paper explores the historical trajectory and contemporary applications of signal processing filters. From the early days of analog filters to the current digital era, the paper traces their evolution, emphasizing key developments in active RC filters, monolithic integrated op amps, and the transition to switched-capacitor and continuous-time filters. Fundamentals of analog and digital filters are outlined, distinguishing their processing of continuous-time and discrete-time signals. The classification of filters, including low-pass, high-pass, band-pass, and band-stop, is discussed with insights into their specific applications. The paper delves into crucial applications in audio processing, video processing, communication systems, power management, and sensor signal processing, showcasing filters' pivotal role in enhancing signal quality across diverse fields. Addressing emerging technologies, the paper highlights adaptive and deep learning filters, projecting the future trends in filter technology. It anticipates developments in analog integrated filters, emphasizing the growing significance of integrated circuits technology. This comprehensive review aims to deepen readers' understanding and inspire continued innovation in signal processing.

Research on the Application of Deep Learning In Autonomous Vehicles

This paper examines the application of deep learning in autonomous driving vehicles. The rapid development of autonomous driving technology has provided vast possibilities for utilizing deep learning algorithms. Firstly, this paper introduces the technical components and fundamental knowledge of autonomous driving vehicles. It then delves into the basic principles of deep learning in autonomous driving and its specific applications in various aspects, including visual perception, perception and decision-making, and control and execution. Furthermore, challenges faced by deep learning in autonomous driving are discussed, and future development directions are anticipated. Through this study, a better understanding of the current application status and future trends of deep learning technology in the field of autonomous driving can be obtained.

The Application and Future Trend of Digital Technology in Civil Engineering

The Application and Future Trend of Digital Technology in Civil Engineering

A Visual Survey of Tunnel Boring Machine (TBM) Performance in Tunneling Excavation: Mainstream Direction, Brief Review and Future Prospects

This study employs scientometric analysis to investigate the current trajectory of research on tunnel boring machine (TBM) performance and collaborative efforts. Utilizing software tools like Pajek 5.16 and VOSviewer 1.6.18, it scrutinizes literature from 2000 to 2021 sourced from the Web of Science (WOS). The findings illuminate TBM research as an interdisciplinary and intersectoral field attracting increasing national and institutional attention. Notable contributions from China, Iran, the United States, Turkey, and Australia underscore the global significance of TBM research. The recent upsurge in annual publications, primarily driven by Chinese research initiatives, reflects a renewed vigor in TBM exploration. Additionally, the paper presents a succinct evaluation of TBM advantages and drawbacks compared to conventional drill and blast methods, discussing key considerations in excavation methodology selection. Moreover, the study comprehensively reviews TBM performance prediction models, categorizing them into theoretical, empirical, and artificial intelligence-driven approaches. Finally, rooted in metaverse theory, the discourse delves into the immersive learning model and the architecture of a TBM metaverse. In the future, the immersive training and learning model diagram can be employed in scenarios such as employee training and the promotion of safety knowledge. Additionally, the TBM metaverse architecture can simulate, monitor, diagnose, predict, and control the organization, management, and service processes and behaviors of TBMs. This will enhance efficient collaboration across various aspects of the project production cycle. This forward-looking perspective anticipates future trends in TBM technology, emphasizing societal impact and enhancement of economic benefits.

MOUNTAINOUS ROAD ROCK ENGINEERING: TECHNIQUES, ENVIRONMENTAL IMPACTS, AND SUSTAINABLE DEVELOPMENT STRATEGIES

This paper comprehensively explores the key technologies and their implementation in mountainous road rock engineering, particularly under complex geological conditions and environmental challenges. Initially, the paper analyzes the geological characteristics of rock bodies, including rock types and geological structures, and assesses the stability of these rock bodies based on these characteristics. Subsequently, it details current construction techniques such as anchoring, shotcreting, and support structures and discusses the use of green materials and the implementation of ecological restoration projects to minimize the impact on the mountainous ecosystem. Through the analysis of successful and unsuccessful engineering cases, the paper summarizes the key factors ensuring project success, as well as lessons learned from failures. Finally, the paper anticipates future technological trends in mountainous road rock engineering, emphasizing the importance of intelligent monitoring, ecological engineering, and new material technologies. This study aims to provide scientific guidance and reference for mountainous road rock engineering, striving for technological optimization and environmental sustainability.The following will guide the structure of your abstract:Motivation/Background: This study addresses the challenges of mountainous road rock engineering under complex conditions, aiming to enhance practices for ecosystem balance and technological sustainability.Method: The research assesses geological characteristics, construction techniques, and ecological integration, analyzing both successful and failed projects to derive key insights and strategies.Results: Results underline the effectiveness of construction methods, ecological benefits of green practices, and crucial insights from case study evaluations, highlighting technological advancements.Conclusions: Concluding that robust understanding and strategic application of technologies are crucial, the study underscores the importance of ecological and technological advancements in improving mountainous road rock engineering.

Application Status and Challenge of PROFIBUS Technology in Industrial Automation Field

This article first introduces the basic concepts and principles of PROFIBUS technology, and then elaborates on its application status in the field of industrial automation from three aspects: manufacturing, process control, and drive technology, including its wide range of applications and advantages. Subsequently, the main challenges currently faced by PROFIBUS technology were analyzed, such as integration with emerging industrial Ethernet technologies, data security issues, and the complexity of system upgrades and maintenance. Finally, the article looks forward to the future development trends of PROFIBUS technology, including further integration with industrial Ethernet technology and the introduction of encryption algorithms to enhance data security. Overall, PROFIBUS is a mature fieldbus technology. Still crucial in the field of industrial automation. However, with the development of new technologies and changes in application requirements, its future development still faces many challenges and opportunities.