Future Technology Trends Research Articles

Advanced Fabrication of Mechanical Metamaterials Based on Micro/Nanoscale Technology

In recent years, mechanical metamaterials have shown good mechanical properties such as ultralightness, programmable stiffness, and tunable Poisson's ratio through clever structural design of microstructures. Micro/nanotechnology has been used to ensure mechanical metamaterials’ fabrication quality and performance for use as structural substrates in multifunctional applications. Mechanical metamaterials are intentionally engineered with periodic microstructures in diverse shapes, allowing for the creation of complex structural substrates. However, this sophisticated design poses significant challenges in the fabrication process, particularly at the micro/nanoscale level, where current technology hinders mechanical metamaterials’ performance improvement and function realization. This review explores the fabrication processes of mechanical metamaterials using micro/nanotechnology and showcase recent progress and future trends. Particular attention is given to recent development, challenges, and future trends in advanced fabrication technologies for mechanical metamaterials. This survey aims to explain why mechanical metamaterials have significant benefits and are well‐suited as structural substrates for multifunctional applications, what advanced fabrication technologies at the micro/nanoscale have been introduced to prepare mechanical metamaterials and how to overcome manufacturing technology bottlenecks of mechanical metamaterials in terms of synthesis, materials, and design method.

Review on Type of Sensors and Detection Method of Anti-Collision System of Unmanned Aerial Vehicle.

Unmanned aerial vehicle (UAV) usage is increasing drastically worldwide as UAVs are used in various industries for many applications, such as inspection, logistics, agriculture, and many more. This is because performing a task using UAV makes the job more efficient and reduces the workload needed. However, for a UAV to be operated manually or autonomously, the UAV must be equipped with proper safety features. An anti-collision system is one of the most crucial and fundamental safety features that UAVs must be equipped with. The anti-collision system allows the UAV to maintain a safe distance from any obstacles. The anti-collision technologies are of crucial relevance to assure the survival and safety of UAVs. Anti-collision of UAVs can be varied in the aspect of sensor usage and the system's working principle. This article provides a comprehensive overview of anti-collision technologies for UAVs. It also presents drone safety laws and regulations that prevent a collision at the policy level. The process of anti-collision technologies is studied from three aspects: Obstacle detection, collision prediction, and collision avoidance. A detailed overview and comparison of the methods of each element and an analysis of their advantages and disadvantages have been provided. In addition, the future trends of UAV anti-collision technologies from the viewpoint of fast obstacle detection and wireless networking are presented.

Technological Innovations and Future Prospect for the Resident Information Management System for Local Barangay in Surigao City

The paper presents the significance of Resident Information Management System (RIMS) in local barangays for efficient resident data management. Recent technological innovations have revolutionized information handling, offering opportunities to enhance system effectiveness. Investigating RIMS in local barangays, the research focuses on usability, functionality, efficiency, and maintainability. A user-friendly interface empowers barangay staff, streamlined data retrieval meets diverse needs, and centralized data enables faster responses. Maintaining a robust system ensures reliability. Technological innovations offer potential to transform RIMS, empowering officials, enhancing engagement, and providing efficient services. Ongoing collaboration and a forward-looking approach are vital for successful integration and development. Embracing future technological trends contributes to overall development in barangay administration.

Overview of Jamming Technology for Satellite Navigation

The Global Navigation Satellite System (GNSS) has been applied to all aspects of social livelihood and military applications and has become an important part of national infrastructure construction. However, due to the vulnerability of GNSS, satellite navigation jamming technology can pose a serious threat to GNSS security applications, and this has become a research hotspot in the field of navigation countermeasures. In this paper, satellite navigation jamming technologies are divided into suppression jamming and deception jamming, and the research status of satellite navigation suppression jamming and deception jamming technologies are sorted by three aspects: jamming technology classification, jamming efficiency evaluation, and jamming source deployment. Finally, the future development trend of satellite navigation jamming technology is summarized.

A Review on the Fault and Defect Diagnosis of Lithium-Ion Battery for Electric Vehicles

The battery system, as the core energy storage device of new energy vehicles, faces increasing safety issues and threats. An accurate and robust fault diagnosis technique is crucial to guarantee the safe, reliable, and robust operation of lithium-ion batteries. However, in battery systems, various faults are difficult to diagnose and isolate due to their similar features and internal coupling relationships. In this paper, the current research of advanced battery system fault diagnosis technology is reviewed. Firstly, the existing types of battery faults are introduced in detail, where cell faults include progressive and sudden faults, and system faults include a sensor, management system, and connection component faults. Then, the fault mechanisms are described, including overcharge, overdischarge, overheat, overcool, large rate charge and discharge, and inconsistency. The existing fault diagnosis methods are divided into four main types. The current research and development of model-based, data-driven, knowledge-based, and statistical analysis-based methods for fault diagnosis are summarized. Finally, the future development trend of battery fault diagnosis technology is prospected. This paper provides a comprehensive insight into the fault and defect diagnosis of lithium-ion batteries for electric vehicles, aiming to promote the further development of new energy vehicles.

Agile Design and AI Integration: Revolutionizing MVP Development for Superior Product Design

This paper delves into the integration of Artificial Intelligence (AI) into the design process of Minimum Viable Products (MVPs) to enhance efficiency, quality, and innovation. It particularly highlights the application and potential advantages of ChatGPT, a widely used natural language processing model, in MVP design. Firstly, the fundamental concepts and development of AI and ChatGPT are discussed. Subsequently, the potential benefits of ChatGPT are elucidated, including improved design efficiency, enhanced design quality and innovation, and optimized user experience. Furthermore, a ChatGPT-based framework for MVP design is proposed, encompassing key steps such as identifying target users and core functionalities, outlining product requirements, prototyping, user testing, and product launch. Lastly, the challenges and considerations associated with the application of ChatGPT are addressed, and future trends in AI technology for agile design are explored. Through the research and discussions presented in this paper, it is concluded that integrating AI into MVP design holds tremendous potential for enhancing design efficiency, optimizing design quality and innovation, and improving user experience. ChatGPT, as an advanced AI technology, provides designers with intelligent assistance and decision support, enabling them to better meet market demands, expedite product development cycles, and enhance product competitiveness. However, it is essential for designers to acknowledge the challenges associated with ChatGPT and adopt appropriate strategies to address them. Looking ahead, further advancements in AI technology and continuous learning and adaptation to emerging technologies by designers are anticipated, thus driving innovation and development in the field of agile design.

Future Trends for Direction in Enterprise Architecture: Systematic Literature Review

In the modern business era, enterprise architecture is becoming increasingly important for companies to achieve their business goals. However, designing and implementing an effective enterprise architecture can be challenging, especially due to the ever-increasing complexity of information systems, changing business needs, and pressure to continually improve efficiency and performance. This study aims to analyze the literature review to map future trends in enterprise architecture related to technological developments and business needs. The research method used This study was conducted by conducting a systematic literature search using leading academic databases such as Scopus, Web of Science, and IEEE Xplore. Inclusion and exclusion criteria have been established to ensure that the selected articles are relevant to the topics discussed. Articles that met the inclusion criteria were then analyzed and critically assessed to identify trends in enterprise architecture. The results of this study produce arguments for the importance of enterprise architecture in helping companies to operate efficiently and integrate different systems and applications. The results of this study indicate that the future trends and topics of enterprise architecture help organizations achieve strategic goals and enable companies to adapt quickly to changes in business and technology. This study concludes that future trends in enterprise architecture can help companies adopt future information technology trends in enterprise architecture. The findings in this study have significant practical implications for enterprise architecture practices. Enterprises should take these trends into account when designing and deploying their enterprise architecture, to ensure that they maximize the benefits of the latest technologies and meet changing business needs.

A Review of Intelligent Vision Enhancement Technology for Battlefield

This paper reviews the application of intelligent vision enhancement technology in the battlefield environment and explores new research directions. This paper mainly introduces three parts. First, we introduce a solution for enhancing the battlefield situation and using head-mounted displays for soldier combat. Second, we summarize three core technologies supporting intelligent vision enhancement technology: 3D environment reconstruction, tracking and registration, and situational awareness. Third, we summarize three application directions of intelligent vision enhancement technology on the battlefield. Finally, the problems and challenges in the research work are proposed, including current issues such as accurate battlefield situational awareness by augmented reality technology, multiperson collaborative management and data flow, as well as challenges in future battlefield situation enhancement and perception. The future development trend of intelligent vision enhancement technology on the battlefield has been prospected. Two meanings of this paper are as follows: the first is to review the research status of intelligent vision enhancement technology from the technical level and identify the key technical points that may restrict development in the future; the second is to analyze the advantages and disadvantages of intelligent vision enhancement technology from the level of battlefield application and the roles of users. In addition, this paper proposes how to take the lead and take initiative in future wars.

Exploring the application of digital twin in the field of micro turbine engine core components

AbstractThe micro turbine engine (MTE) plays a vital role in the aerospace sector. However, traditional research and design models no longer suffice to accommodate the highly complex operating conditions of the MTE. Therefore, this paper briefly analyzes the concept and development process of digital twin technology and integrates it into the research and design of the MTE. This integration takes into account the recent leapfrog developments in information technology and digital intelligence technology. Utilizing digital twin technology to model the core components of the MTE allows for effective structural optimization, online monitoring, and timely problem detection in support of extending the overall lifespan of the engine. Multiple algorithms are used throughout the development, design, and usage phases of each component to merge into a cohesive whole, providing robust support for the MTE's overall development, production, and manufacturing. Digital twin technology facilitates accurate performance prediction, reliability evaluation, and advanced design optimization for the MTE. This, in turn, reduces the design cycle and research design cost more effectively. Lastly, we propose the future application and development trend of digital twin technology in the core components of the MTE.

The perspectives and trends of THz technology in material research for future communication - a comprehensive review

In recent years, the realm of terahertz (THz) has seen a new paradigm of unprecedented development and offered new possibilities to strengthen the communication sector by studying the dielectric properties of different materials. The aim of this article is to present a comprehensive review of various THz technologies that have been employed to investigate the intrinsic characteristics of different materials. In addition, the study highlights the significance use of THz wave guides with some discussion on sources, and detectors and components. Towards the end, it highlights the future trends of THz technology and the challenges. The paper concludes that THz technology has a promising potential and offer new opportunities for applications in characterization of composite materials.

A Review of Target Recognition Technology for Fruit Picking Robots: From Digital Image Processing to Deep Learning

Machine vision technology has dramatically improved the efficiency, speed, and quality of fruit-picking robots in complex environments. Target recognition technology for fruit is an integral part of the recognition systems of picking robots. The traditional digital image processing technology is a recognition method based on hand-designed features, which makes it difficult to achieve better recognition as it results in dealing with the complex and changing orchard environment. Numerous pieces of literature have shown that extracting special features by training data with deep learning has significant advantages for fruit recognition in complex environments. In addition, to realize fully automated picking, reconstructing fruits in three dimensions is a necessary measure. In this paper, we systematically summarize the research work on target recognition techniques for picking robots in recent years, analyze the technical characteristics of different approaches, and conclude their development history. Finally, the challenges and future development trends of target recognition technology for picking robots are pointed out.

Study on Flame Retardants and Flame Retardant Technology of Wood-Based Panels

At present, a large number of wood-based panels are used for flooring and building decoration. When a building fires, wood-based panels burn and emit a large amount of heat, making the flame spread rapidly, causing a large number of casualties and major economic losses. Therefore, a large number of combustible and flammable wood-based panels used in the interior decoration of buildings are potential fire hazards. China stipulates that the use of wood-based panels in high-rise buildings must undergo flame retardant treatment. Flame retardant board is a special kind of man-made board. At present, the mainstream flame retardant board products on the market include flame retardant density board and flame retardant plywood. Flame retardant board has stable chemical properties, high ignition point and corrosion resistance. In the production process of flame retardant board, some manufacturing processes can be used to integrate flame retardant into the board, so it has good flame retardancy. At present, flame-retardant panels are rarely used in ordinary household decoration, and most of them are used in public building projects. The flame retardant panel has a high ignition point, which can effectively control the fire process and reduce smoke and toxic gas in case of fire. With the continuous improvement of consumers' awareness of fire safety, the demand for flame retardant board market is increasing year by year, with broad market development prospects. As the main material of wood floor, furniture, and interior decoration in China, the output and demand of ordinary plywood are increasing rapidly. This paper introduces the classification and flame retardant principle of wood-based panels, analyzes the commonly used wood flame retardants and flame retardant treatment methods, and forecasts the future development trend of flame retardants and flame retardant technology, in order to better promote the rapid development of the domestic wood-based panel industry.

Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis

Artificial Intelligence (AI) technologies have been powerful solutions used to improve food yield, quality, and nutrition, increase safety and traceability while decreasing resource consumption, and eliminate food waste. Compared with several qualitative reviews on AI in food safety, we conducted an in-depth quantitative and systematic review based on the Core Collection database of WoS (Web of Science). To discover the historical trajectory and identify future trends, we analysed the literature concerning AI technologies in food safety from 2012 to 2022 by CiteSpace. In this review, we used bibliometric methods to describe the development of AI in food safety, including performance analysis, science mapping, and network analysis by CiteSpace. Among the 1855 selected articles, China and the United States contributed the most literature, and the Chinese Academy of Sciences released the largest number of relevant articles. Among all the journals in this field, PLoS ONE and Computers and Electronics in Agriculture ranked first and second in terms of annual publications and co-citation frequency. The present character, hot spots, and future research trends of AI technologies in food safety research were determined. Furthermore, based on our analyses, we provide researchers, practitioners, and policymakers with the big picture of research on AI in food safety across the whole process, from precision agriculture to precision nutrition, through 28 enlightening articles.

Infrared detector module for airborne hyperspectral LiDAR: design and demonstration.

Realizing the integrated acquisition and identification of the elevation information and spectral information of the observation target is at the frontier and a future trend of Earth observation technology. This study designs and develops a set of airborne hyperspectral imaging lidar optical receiving systems and investigates the detection of the infrared band echo signal of the lidar system. A set of avalanche photodiode (APD) detectors is independently designed to detect the weak echo signal of 800-900nm band. The actual radius of the photosensitive surface of the APD detector is 0.25mm. We design and demonstrate the optical focusing system of the APD detector in the laboratory and obtain that the image plane size of the optical fiber end faces of the APD detector from channel 47 to channel 56 is close to 0.3mm. Results show that the optical focusing system of the self-designed APD detector is reliable. On the basis of the focal plane splitting technology of the fiber array, we couple the echo signal of 800-900nm band to the corresponding APD detector through the fiber array and conduct a series of test experiments for the APD detector. Field test results of the ground-based platform show that the APD detectors in all channels can complete the remote sensing measurement of 500m. The development of this APD detector solves the problem of hyperspectral imaging under weak light signals and realizes the accurate detection of ground targets in the infrared band by airborne hyperspectral imaging lidar.

Review: Research on product surface quality inspection technology based on 3D point cloud

In recent years, machine vision has played an important role in product surface quality detection. The promotion and use of this technology have largely avoided the subjectivity caused by human detection and improved detection efficiency and accuracy. Different from the image data commonly used in machine vision, point cloud can describe the spatial structure of an object, provide more information than image data, and have the ability to expand the data to build multi-dimensional data models. Due to the strong anti-interference ability of point cloud sensors and the high accuracy of three-dimensional positioning information point cloud, nondestructive testing technology based on point cloud has received more and more attention. This paper summarizes the research progress of product surface quality detection methods based on 3D point cloud in recent years. According to different data processing methods, the detection research is divided into five categories: based on point cloud contour, based on local geometric feature, based on template matching, based on multimodal point cloud, and based on deep learning. The five methods are reviewed and summarized respectively. Finally, the key problems of each detection method and the future trend of product surface quality detection technology based on 3D point cloud are discussed.

Application of "major scientific issues and engineering technology difficulties in traditional Chinese medicine(2019-2021)" in national science and t echnology layout

In order to judge the future development trend of science and technology, plan ahead and lay out the frontier technology fields and directions, China Association of Chinese Medicine(CACM) has launched consultation projects for collecting "major scienti-fic issues and engineering technology difficulties in traditional Chinese medicine(TCM)" for the industry for three consecutive years since 2019. Up to now, 18 projects have been selected as major issues for research, and some experience and achievements have been made. These projects have been applied in important scientific and technological work such as scientific and technological planning and deployment at all levels of national, local, and scientific research institutions, the selection and cultivation of major national scientific and technological projects, and the construction of innovation bases, giving full play to the role of the think tank advisory committee of CACM. This study reviewed the selection of major issues for the first time, systematically combed its application in the national layout of science and technology, and put forward the existing problems and improvement suggestions, aiming to provide new ideas for further improving the selection of major issues and research direction, providing a theoretical basis and decision support for the national scientific and technological layout in the field of TCM, and promoting scientific and technological innovation to facilitate the high quality development of TCM.

Forecast and Analysis of Renewable Energy Technology Development Trend Based on Knowledge Graph and Patent Data

The development and utilization of renewable energy is an important part of national strategy. In this study, Cite Space was used to analyze the Knowledge Graph of relevant research literature and define the research hotspots and the key technologies in the field of renewable energy. Then, the domestic and foreign related patent data in the field of renewable energy were retrieved through the database of Wanfang, and Logistic model was used to make a comparative analysis of the life cycle of relevant technologies in this field, so as to predict the current development stage and future development trend of China's renewable energy technology.

Forecast and Analysis of Renewable Energy Technology Development Trend Based on Knowledge Graph and Patent Data

The development and utilization of renewable energy is an important part of national strategy. In this study, Cite Space was used to analyze the Knowledge Graph of relevant research literature and define the research hotspots and the key technologies in the field of renewable energy. Then, the domestic and foreign related patent data in the field of renewable energy were retrieved through the database of Wanfang, and Logistic model was used to make a comparative analysis of the life cycle of relevant technologies in this field, so as to predict the current development stage and future development trend of China's renewable energy technology.

Multiphase Motors and Drive Systems for Electric Vehicle Powertrains: State of the Art Analysis and Future Trends

Multiphase drives (MPDs) have been the subject of research for the last two decades. Despite being a technology that is still in the process of development, a significant number of research studies and developments have been reported in scientific literature over the past few years. This article aims to collect and present a review of these recent contributions, providing a comprehensive and insightful state of the art on this topic and future technology trends. The elaborated aspects include the advantages of multiphase machines, a general introduction to five-phase and six-phase machines, and their modelling techniques. In addition, new promising MPD topologies are covered. Recent advances in modulation techniques and the control of multilevel converters are also discussed. Finally, future trends and challenges in further developing this technology are discussed.

Cardiac Shock Wave Therapy in Cardiovascular Diseases

Cardiovascular disease is one of the leading causes of death worldwide, placing a huge burden on patients and healthcare systems. Cardiac shock wave (CSW) technology is a non-invasive treatment method. In recent years, some scholars have discovered that extracorporeal shock wave can improve cardiovascular ischemic lesions. This article reviews the latest progress in basic research and clinical application of cardiac shock wave technology in cardiovascular medicine and reviews its efficacy and potential mechanisms in different diseases. First, the principle of shock waves and their application potential in cardiovascular medicine are introduced. Then, from the aspects of basic research and clinical application, the mechanism and clinical efficacy of shock waves in cardiovascular diseases such as coronary heart disease, myocardial ischemia-reperfusion injury, atrial fibrillation, atherosclerosis, and coronary artery calcification are discussed, as well as its advantages and limitations. Animal experiments and clinical studies have found that low-energy extracorporeal shock waves can upregulate the expression of vascular endothelial growth factors, promote angiogenesis, promote nitric oxide production, increase local blood perfusion, significantly reduce angina symptoms, and improve left ventricular function and remodeling. Finally, the future development trend of shock wave technology is prospected. This review provides an introduction to the properties, biomechanical effects, treatment mechanisms of cardiovascular diseases, research status and development prospects of extracorporeal shock waves. Keywords: Cardiac shock Wave Therapy, Cardiovascular diseases, ESWT