Future Technology Trends Research Articles

The Role of Databases in Modern Education

This paper discusses databases in learning and their necessity for improved effectiveness of the learning process. With examples in a school setting, the advantages and some disadvantages of using them in the education sector are introduced. Strategies for maximizing their benefits and recommendations for their future development are included. Here we also see an example of an already successful implementation of databases in Bulgaria. Future trends in database technology in education are presented, as well as measures to protect personal information. These lines emphasize student development and progress, with the implementation of databases and their use in learning as a key factor.

Healthcare Data Migration: A Technical Framework for Digital Transformation Success

This comprehensive article analysis explores the critical aspects of healthcare data migration within the context of digital transformation. The article examines the challenges, technologies, and implementation frameworks that healthcare organizations face during migration initiatives. It addresses the complexities of managing diverse medical data types, regulatory compliance requirements, and technical infrastructure needs while maintaining continuous patient care operations. The article investigates enterprise solutions, including VMware vMotion and Dell EMC PowerPath, alongside cloud-native approaches for optimizing migration processes. Through extensive case studies and real-world applications, the article demonstrates the significance of structured planning, quality assurance protocols, and resource allocation in successful migration projects. Furthermore, it evaluates the financial implications and return on investment of migration initiatives while considering future technological trends and strategic recommendations for healthcare organizations undertaking digital transformation journeys. The findings emphasize the importance of a balanced approach between technological advancement and maintaining healthcare service quality throughout the migration process.

Comprehensive Review of Health Informatics and Administrative Practices in Healthcare

Specifically, health informatics is an uphill profession responsible for changing the direction of healthcare systems to manage a massive amount of healthcare data. This paper explores the integration of health informatics with healthcare admission, focusing on the developments, trends, and issues encountered in the field. This paper aims to discuss healthcare organizations' key technologies, systems, and practices regarding clinical and administrative work approaches such as EHR, HIS, and telemedicine. This review looks at relevant studies and studies done in recent years and has highlighted how technology helps healthcare organizations deliver efficient, safe, and quality care. The paper also features recommendations for improving health informatics and other administrative practice outcomes, emphasizing future trends in healthcare technology.

The Intelligent Monitoring Technology for Machining Thin-Walled Components: A Review

Thin-walled components are extensively utilized in the aviation, aerospace, shipping, and nuclear energy industries due to their advantages of being lightweight and easily integrated. With an increased design quality and complexity of structures, thin-walled components have rendered traditional offline machining state prediction techniques inadequate for meeting the rising demands for machining quality. In recent years, advancements in intelligent manufacturing have led to the emergence of intelligent monitoring technologies that offer new solutions for enhancing the machining quality. This review categorizes technologies into online signal collection, state recognition, and intelligent decision-making, based on the implementation processes of intelligent monitoring. It summarizes the roles and current development status of various technologies within intelligent monitoring and outlines the existing challenges associated with each technology. Finally, the review discusses the challenges and future development trends of intelligent monitoring technology.

Overview of Key Techniques for In Situ Tests of Electromagnetic Radiation Emission Characteristics

With the growing number of electronic devices loaded and increasing influence from electromagnetic interference, large-scale systems or platforms are confronted with increasingly severe electromagnetic compatibility challenges. Due to the vast size of these systems and the multitude of electronic devices they contain, standard laboratory environments are often inadequate for meeting test requirements. This paper reviews the state-of-art in the area of field measurement techniques related to the checking of electromagnetic compatibility, and the key technologies of electromagnetic interference filtering and wide-bandwidth, large-dynamic, and rapidly transient signal extraction in the measurement field are analyzed. The research status of electromagnetic interference suppression, transient and broadband measurement, and environmental interference suppression combined with time-domain fast measurement and other technologies are summarized and analyzed. Based on a comparative analysis of the aforementioned technologies, the future development trends of field measurement technology are also discussed.

A review of research on optical true time delay technology

Light controlled phased array has the advantages of fast response speed, compact system, diverse functions, and flexible control, and has been widely applied in many scientific and technological fields. Optical true delay technology (OTTD) is the most direct technical means to achieve phase delay of optical carrier signals, and it is also the most basic technical means to implement optical controlled beamforming systems. In order to fully understand the optical true delay technology, this article first elaborates on the principle of phased array antennas and the reasons for beam strabismus, and analyzes the impact of true delay on the performance of phased array radar. Then, the basic principle, technological progress, and related applications of optical true delay are introduced. Taking four common structures of optical true delay lines as examples,which are micro-ring resonant cavity array, grating ture time delay line, multi-path switchable optical ture time delay line（OTTDL）, and wavelength selective optical delay line, their performance in delay accuracy, adjustable delay range, and frequency bandwidth are compared. Finally, the current problems and future development trends of optical controlled beamforming technology were summarized.

Superheated steam technology: Recent developments and applications in food industries.

Studies focused on superheated steam technology in the field of food processing have progressed rapidly over the past several decades, and this can be attributed to its remarkable heat transfer efficiency, energy-saving benefits, and environmentally friendly characteristics when compared to those of conventional thermal processing methods. Consequently, superheated steam technology holds great promise for a wider range of applications in the food industry. This study provides a comprehensive overview of the use of superheated steam technology in food processing and its impact on food quality, texture, and microbiological safety. Superheated steam is an effective thermal processing medium for tasks such as food drying, microbial decontamination, reducing the formation of toxic compounds, and enhancing the overall food quality. During superheated steam processing, the products exhibit improved flavor, color, and texture, heightened safety, and better retention of nutritional and bioactive ingredients. Additionally, the limitations and future development trends of superheated steam technology are discussed. Although the commercial adoption of superheated steam technology is still in its early stages, recent advancements suggest a promising future for its integration into the food industry.

Future health technology trends, policy, and governance perspective: the Turkish case

BackgroundAdvanced health technologies that emerge with the development of technology have an impact on health systems. This study aimed to determine the effects of these technologies on Türkiye’s health system and present policy recommendations to reshape Türkiye’s health system and policies accordingly.MethodsInterviews were conducted with senior managers, bureaucrats, policy-makers and decision-makers from seven different institutions on the subject. Content analysis was performed on the data obtained and evaluative categories were established.ResultsIt was concluded that these technologies would not have a positive impact on two identified themes, a negative impact on seven themes and a predominant impact on five themes in Türkiye.ConclusionsTo adapt to the new health ecosystem in Türkiye, it is recommended to increase digital literacy, conduct economic evaluations of technologies, promote domestic production, ensure up-to-date follow-up, collaborate with the engineering field, enhance health technology evaluation practices, improve access to technologies and ensure that the infrastructures of health institutions are compatible with technologies. Various policy suggestions have been presented for the development of Türkiye’s health system.

Energy Microgrids: Exploring Technology Trends and Prospects for Efficient Energy Management

Objective: The objective of this paper is to explore technology trends and prospects for efficient energy management in microgrids by identifying and analyzing distinct research lines in this field. Method: A Scopus search was conducted using keywords such as "microgrids" and "new technologies." The gathered information was processed using Bibliometrix software to cluster the data. This analysis identified five distinct research lines related to microgrids and energy management. Results and Discussion: The analysis revealed five distinct research lines: (1) microgrids related to energy generation and storage, (2) electric power system control, (3) electric power transmission networks, (4) optimization, and (5) power markets. The paper develops and explains these research lines comprehensively, detailing technology trends and prospects for efficient energy management. Additionally, a combined analysis of relevance and development classifies the research lines as either emerging or declining and determines whether they represent basic or motor themes. Research Implications: The findings provide insights into current and future trends in microgrid technology, offering valuable information for researchers, practitioners, and policymakers. Understanding these trends can help guide future research, development, and implementation strategies for efficient energy management in microgrids. Originality/Value: This paper offers a comprehensive analysis of technology trends and prospects in microgrids, utilizing advanced bibliometric tools to identify and classify research lines. The study provides a unique perspective on the development and relevance of different aspects of microgrid technology, contributing valuable insights to the field.

IoT and Edge Computing for Smart Manufacturing: Architecture and Future Trends

The integration of the Internet of Things (IoT) and Edge Computing is revolutionizing the manufacturing industry, ushering in the era of smart manufacturing as part of Industry 4.0. This paper explores the synergy between IoT and Edge Computing, focusing on their combined architecture and the future trends driving innovation in smart factories. IoT enables the connection and communication of machines, sensors, and systems, allowing for real-time data collection and monitoring. However, traditional cloud-based approaches face challenges such as latency, bandwidth limitations, and security risks, which can hinder real-time decision-making in fast-paced manufacturing environments. Edge Computing addresses these issues by processing data closer to the source, minimizing latency and reducing dependence on cloud infrastructures. By combining IoT and edge solutions, smart manufacturing systems can make faster, data-driven decisions, leading to improved efficiency, reliability, and operational flexibility. This paper delves into the architectural design of IoT and edge computing in manufacturing, outlining how data flows from IoT devices to edge nodes and cloud services. Several real-world use cases and industry examples are analyzed to highlight the practical benefits of these technologies. Additionally, this research identifies key challenges such as security vulnerabilities, the need for robust network infrastructures (e.g., 5G), and issues related to data standardization. The future of smart manufacturing is also explored, emphasizing trends like the adoption of artificial intelligence (AI) and machine learning (ML) at the edge, digital twins for real-time monitoring, and the role of IoT and edge computing in fostering sustainability through energy-efficient production processes.This study provides a comprehensive overview of IoT and edge computing architectures in smart manufacturing and offers insights into future technological trends that will shape the industry.

SWOT Analysis of Future Trends in BEV-related Technologies: Xiaomi Automobile Co., Ltd's Latest Product as a Case Study

The new energy vehicle sector has benefited from numerous subsidies in response to the World Environmental Protection Organization's and governments' calls for a reduction in carbon emissions. Battery-electric vehicles (BEVs), the kind of EV with the lowest carbon emissions, have gained popularity in the automotive industry. Using a battery system as a power system not only improves efficiency but also ensures that it does not pollute the environment. Along with other technological advancements like the incorporation of cutting-edge chips in the central controls of the vehicle and latest AI systems, the convenience of BEVs for consumers keeps increasing. This paper introduces the new technology systems included in the latest products launched by Xiaomi, such as the new battery system, smart driving system, and all-round AI system. Then more analyses of the strengths, weaknesses, opportunities, and threats of BEVs in the future with the impact of new technology. The analysis not only raises some of the technical issues that need to be addressed in BEVs today but also points to the crisis that will exist in the BEV market in the future. After analyzing the situation, some recommendations and directions for in-depth research were given. And take Xiaomi's latest BEV product as an example to further do a SWOT analysis of Xiaomi's strategic development into the BEV market.

Analysis on Innovation and Application of Anti-counterfeiting Technology of Printed Matter

This paper deeply focuses on the innovation and application of printed matter anti-counterfeiting technology, through a variety of advanced anti-counterfeiting technology principle, characteristics and rich application examples to carry out a detailed study, a comprehensive and in-depth analysis of its protection of product safety, resolutely prevent counterfeiting and fully maintain market order and other aspects of the key and important role. At the same time, the future development trend of anti-counterfeiting technology and the current severe challenges are deeply discussed, aiming at providing a very valuable and meaningful reference for the in-depth research and practical operation in related fields.

A review on model predictive control strategies for AC motor drives

AbstractIn the past decade, model predictive control (MPC) has been widely used in AC motor drives. Although a series of improved MPC strategies have been proposed, researchers are still seeking more effective solutions for different application backgrounds and application requirements to achieve the goals such as algorithm simplification, weighting factor design, parameter robustness enhancement, current/torque ripple suppression, and so on. In this paper, aiming at the above problems, the MPC strategy and its optimisation technology for AC motor drive system are comprehensively reviewed. Firstly, this paper introduces the classical MPC technology with the permanent magnet synchronous motor drive system fed by two‐level voltage source inverter as the control object. Secondly, this paper introduces and discusses the existing MPC optimisation methods from the aspects of current/torque ripple suppression, algorithm simplification, weight factor design and parameter robustness enhancement. Finally, based on the current industrial development requirements for AC motor drive systems and the research status of MPC optimisation methods in the existing literature, the current challenges and future trends of MPC technology are discussed.

A Review of the Application of Hyperspectral Imaging Technology in Agricultural Crop Economics

China is a large agricultural country, and the crop economy holds an important place in the national economy. The identification of crop diseases and pests, as well as the non-destructive classification of crops, has always been a challenge in agricultural development, hindering the rapid growth of the agricultural economy. Hyperspectral imaging technology combines imaging and spectral techniques, using hyperspectral cameras to acquire raw image data of crops. After correcting and preprocessing the raw image data to obtain the required spectral features, it becomes possible to achieve the rapid non-destructive detection of crop diseases and pests, as well as the non-destructive classification and identification of agricultural products. This paper first provides an overview of the current applications of hyperspectral imaging technology in crops both domestically and internationally. It then summarizes the methods of hyperspectral data acquisition and application scenarios. Subsequently, it organizes the processing of hyperspectral data for crop disease and pest detection and classification, deriving relevant preprocessing and analysis methods for hyperspectral data. Finally, it conducts a detailed analysis of classic cases using hyperspectral imaging technology for detecting crop diseases and pests and non-destructive classification, while also analyzing and summarizing the future development trends of hyperspectral imaging technology in agricultural production. The non-destructive rapid detection and classification technology of hyperspectral imaging can effectively select qualified crops and classify crops of different qualities, ensuring the quality of agricultural products. In conclusion, hyperspectral imaging technology can effectively serve the agricultural economy, making agricultural production more intelligent and holding significant importance for the development of agriculture in China.

Opportunities and Challenges of Digital Transformation in International Business

With the accelerating pace of globalization and the rapid development of information technology, digital transformation has become a key driver for the growth of international business. This paper aims to explore the opportunities and challenges of digital transformation in international business. First, we define the basic concepts of digital transformation and build a related theoretical framework, including the Technology Acceptance Model (TAM) and Innovation Diffusion Theory. Next, we analyze the main opportunities brought by digital transformation to international business, such as market expansion, operational efficiency improvement, enhanced customer experience, and data-driven decision-making. Then, we discuss the challenges faced by international business in the process of digital transformation, including technological barriers, cultural and organizational changes, data security and privacy, as well as regulatory and compliance issues. Finally, we look forward to future technological and market trends and propose strategic recommendations to address challenges and seize opportunities. This paper provides systematic theoretical guidance and practical advice for international business in the digital transformation process, serving as an important reference for companies to formulate digital strategies.

The role of digital transformation in enhancing clean energy startups' success: An analysis of it integration strategies

This review paper explores the pivotal role of digital transformation in enhancing the success of clean energy startups. It delves into how integrating digital technologies such as IoT, AI, big data, and blockchain can foster innovation, improve scalability, and boost operational efficiency. The paper also examines various IT integration strategies, including cloud computing, data analytics, and smart grid technologies, and their implementation models, highlighting the challenges and potential solutions. Additionally, it discusses the impact of digital transformation on market competitiveness and provides strategic recommendations for startups to leverage these technologies effectively. The paper concludes by predicting future trends in digital technologies and outlining policy implications to support the digital transformation of the clean energy sector.

Research Progress on Friction Nanogenerator Technology for Wave Energy Harvesting

The ubiquitous phenomenon of friction-generated energy, often considered to be of little practical value, has led to the development of a new technology known as friction nanogenerators (FNGs). This innovative technology offers significant potential for the sustained power supply and large-scale harvesting of wave energy, which can be particularly beneficial for ocean sensors. This paper presents an analysis of the current development of FNGs, a detailed description of the principles, operations, and modes of operation of FNGs for wave energy capture, and an investigation of the various FNG structures and their research progress. Additionally, it explores the current challenges and future trends of FNG technology and proposes the integration of FNG technology with other technological fields to provide researchers with a comprehensive understanding of its current status and potential in the field of wave energy harvesting.

Reseña del uso del lenguaje de programación Python en el Desarrollo de Software

Introduction: This article provides a concise and clear definition of the Python programming language, highlighting its key features and its significance in the current landscape of software development. Python, renowned for its simple and readable syntax, has gained popularity due to its versatility and ease of use. Objective: The primary objective of this study is to answer the question: What role does Python play in current software development and what are its future prospects? This analysis aims to understand the impact of Python on the software industry and assess how its evolution may influence future technological trends. Methods: To address this objective, a literature review was conducted to gather relevant information about Python. Rigorous selection criteria were established to ensure the quality and timeliness of the consulted sources, and a data analysis was carried out that combined qualitative and quantitative approaches. Results: The article summarizes the main advantages and disadvantages of Python, as well as exploring its various areas of application. Python offers advantages such as ease of learning and a robust ecosystem of libraries, but it also presents disadvantages such as slower execution speed compared to other languages. Conclusions: In conclusion, the study synthesizes the results obtained, evaluates the current use of Python in software development, and provides practical recommendations for developers, highlighting the importance of staying updated with the latest versions and tools available.

DNA Microarray Technology Principles and Applications in Genetic Research

DNA microarray technology, a high-throughput gene analysis tool, has played a crucial role in genetic research. This paper explores the fundamental principles of DNA microarray technology, including its working mechanisms, sample preparation, and types of chips. It emphasizes the applications of DNA microarrays in detecting genetic variations and analyzing gene expression profiles, illustrating examples in single nucleotide polymorphism (SNP) analysis and genome-wide association studies (GWAS). The paper also discusses the technical details of high-throughput gene expression measurement and differential expression analysis. Additionally, it analyzes the main advantages of DNA microarray technology, such as high throughput and sensitivity, while also noting its limitations, including data interpretation complexity and technical costs. Finally, the paper looks forward to future development trends in DNA microarray technology, particularly its potential applications in personalized medicine.

Exploring the Advancements and Applications of Oral Thin Film Technology

This comprehensive review delves into the recent advancements and diverse applications of oral thin film (OTF) technology in the field of pharmaceuticals. The aim is to provide a thorough exploration of the evolution of OTFs, their unique characteristics, and their expanding role in drug delivery systems. A systematic analysis of the literature was conducted to gather information on the formulation techniques, properties, and challenges associated with OTFs. Additionally, recent developments, innovations, and future trends in OTF technology were examined to understand the dynamic landscape of this drug delivery system. The review highlights the key properties of OTFs, including rapid disintegration, enhanced bioavailability, and patient-centric advantages. Various manufacturing techniques, such as solvent casting, hot melt extrusion, and 3D printing, were explored for their impact on OTF formulation. Challenges, including stability issues and taste masking complexities, were identified. Recent innovations, such as nanotechnology integration, personalized medicine applications, and the use of digital health platforms, showcase the ongoing efforts to overcome these challenges. Oral thin film technology stands at the forefront of pharmaceutical innovation, offering a patient-friendly and adaptable drug delivery system. As evidenced by recent developments, the integration of advanced technologies, personalized medicine approaches, and sustainable practices positions OTFs as a transformative force in the future of drug delivery. The exploration of these advancements and applications contributes to a deeper understanding of the potential impact of OTF technology on healthcare.