Areas Of Technological Development Research Articles

Performance Analysis of BER and SNR Performance in High-QAM Modulations Using Advancements in MIMO Systems

Wireless communications is one of the most active areas of technology development of our time. This development is being driven primarily by the transformation of what has been largely a medium for supporting voice telephony into a medium for supporting other services, such as the transmission of video, images, text, and data. Today, the widely deployed network type is based on a centralized approach that requires a network point of access, commonly called the Access Point (AP), to serves as a gateway between the mobile device and the Internet. The obtained results demonstrate that spatial diversity along with the power of STBC significantly improves the error performance in frequency selective wireless fading channels. The BER level is depend on the modulation type, SNR value and channel behavior. Modulation schemes that we have used in this paper are 4-QAM, 8-QAM, 16-QAM and 64-QAM which further improved using forward error correction codes (FEC). A comparison is made between the diversity gains of MIMO systems in terms of BER for high QAM modulation scheme. This work presents, a simulation toll MATLAB R2023a used for model implemented using Nakagami channel to study the performance analysis of Bit Error rate (BER) V/S Signal to Noise ratio (SNR). Keywords: AWGN, BER, Fading Channel, MIMO System, Nakagami, OFDM, QAM Modulation, SNR, STBC etc.

The advances and opportunities of developing solid-state battery technology: Based on the patent Information Relation Matrix

There is a long way for solid-state batteries from the laboratory to large-scale application and commercialization. To overcome a series of challenges, researchers and innovators seek to further understand the processing-structure-properties relationships of solid-state batteries. However, less literature explores the advances and opportunities in solid-state battery technology based on patent analysis. The paper adopts the technology of Natural Language Processing (NLP) to analyze patent documents and reveal the advances and opportunities for developing solid-state battery technology by constructing the patent Information Relation Matrix (IRM). This paper finds innovation activities in developing solid-state batteries have been increasingly active in recent decades, but are uneven across organizations. The electrolyte is a priority area of technology development, and the advances in developing solid-state batteries are perfecting conductivity, reducing interfacial resistance, and improving density and stability. By contrast, the opportunities are to reduce cost, prevent short circuits, and prolong the life cycle. The paper perfects the extant method of constructing IRM and gives insight into the advances and opportunities for developing solid-state batteries. Our findings can help innovators better understand advances in solid-state batteries or opportunities for developing solid-state batteries, from a global perspective.

On the Legal Concept of Metaverses

The paper offers a detailed model of the legal concept of metaverses. The scientific impetus for this discourse was the foreign practice of developing metaverses, which have become national priorities for a number of states. According to the author’s position, the metaverse is a direction (area) of digital technology development for the formation of a digital space for various types of social and public activities with imitation of the personal presence of the user. The components of the metaverse interact with each other, are in dynamic balance, creating a digital industry. The industry of the metaverse is at a stage of continuous evolution and development. It consists of five main systems, including a technological system, a system of standards, a system of digital products, a service and warranty system. Based on this conclusion, the author systematizes approaches to the development of legal regulation of relations in the metaverses in order to consolidate the country’s technological leadershipin this promising direction. As the metaverse evolves, it may become a promising space for the circulation of digital data and the implementation of other ambitious projects of the digital economy. However, the emergence of new threats and risks in artificial virtual worlds requires the development and adoption of a concept of legal understanding of metaverses, as well as the advanced study of Russian legislation guaranteeing human rights and freedoms in metaverses.

Digital twins and the digital logics of biodiversity.

Biodiversity is a multidimensional concept that can be understood and measured in many different ways. However, the next generation of digital technologies for biodiversity monitoring currently being funded and developed fail to engage its multidimensional and relational aspects. Based on empirical data from interviews, a conference visit, online meetings, webinars, and project reports, this study articulates four digital logics that structure how biodiversity becomes monitored and understood within recent technological developments. The four digital logics illustrate how intensified practices of capturing, connecting, simulating, and computing produce particular techno-scientific formats for creating biodiversity knowledge. While ongoing projects advance technological development in areas of automation, prediction, and the creation of large-scale species databases, their developmental processes structurally limit the future of biodiversity technology. To better address the complex challenges of the global biodiversity crisis, it is crucial to develop digital technologies and practices that can engage with a wider range of perspectives and understandings of relational and multidimensional approaches to biodiversity.

On Green Hydrogen Generation Technologies: A Bibliometric Review

Green hydrogen, produced by water electrolysis with renewable energy, plays a crucial role in the revolution towards energy sustainability, and it is considered a key source of clean energy and efficient storage. Its ability to address the intermittency of renewable sources and its potential to decarbonize sectors that are difficult to electrify make it a strategic component in climate change mitigation. By using a method based on a bibliometric review of scientific publications, this paper represents a significant contribution to the emerging field of research on green hydrogen and provides a detailed review of electrolyzer technologies, identifying key areas for future research and technology development. The results reflect the immaturity of a technology which advances with different technical advancements, waiting to find the optimal technical solution that allows for its massive implementation as a source of green hydrogen generation. According to the results found in this article, alkaline (ALK) and proton exchange membrane (PEM) electrolyzers seem to be the ones that interest the scientific community the most. Similarly, in terms of regional analysis, Europe is clearly committed to green hydrogen, in view of the analysis of its scientific results on materials and electrolyzer capacity forecasts for 2030.

Setting S&T perspective priorities in an era of complexity and uncertainty: a case for megacities

PurposeThe purpose of this study is to create a methodological approach for identifying priority areas for science and technology (S&T) development and its empirical application within the city of Moscow. This research uncovers a wide range of multicultural and multidisciplinary global trends that will affect the development of major cities in an era of complexity and uncertainty, including the inherent complexity of urban contexts, demographic and socioeconomic trends, as well as scientific and ecological factors.Design/methodology/approachThe methodological approach is based on classic foresight instruments. Its novelty lays in the blending of qualitative and quantitative methods specially selected as the most appropriate for the identification of S&T areas in an era of complexity and uncertainty, including horizon scanning, bibliometric analysis, expert surveys and the construction of composite indexes with respect to the scope and resources of the research and the selected object for empirical application – Moscow, which is one of the world’s largest megacities. The analysis was performed for the period of 2009–2018 and expert procedures took place in 2019.FindingsAs a result, 25 global trends were identified, evaluated and discussed over the course of an expert survey and subsequent expert events. Ten priority areas of S&T development were determined, including 62 technological sub-areas within them and the most important market niches for all identified technological sub-areas, which could be useful for the world’s megacities. The results of this study are illustrated using the construction sector. Based on the conducted research and results, a list of recommendations on S&T policy measures and instruments were suggested, including the creation of the Moscow Innovation Cluster, which by the end of 2023 contained more than 6,000 projects and initiatives, selected using the findings of this investigation.Originality/valueThis research contributes to the existing literature and research agenda of setting priorities for S&T development and shows how it can be done for a megacity. The blended foresight methodology that was created within the study satisfies the criteria of scientific originality, is repeatable for any interested researcher, is applicable to any other city in the world and demonstrates its high efficiency in empirical application. It could be used for creating new agenda items in S&T policy, setting S&T priorities for a megacity and integrating the results into decision-making processes. This study provides recommendations on the further implementation of the designed methodology and results into a policymaking system. Moreover, the example of the Moscow Innovation Cluster, which was created based on the results of our research, demonstrates these recommendations’ practical significance in real life, which is quite valuable. The limitation of this study is that it is not devoted to urban planning issues directly or the promotion of R&D areas; it is about setting promising S&T priorities in an era of complexity and uncertainty for megacities.

İSTANBUL, TÜRKIYE'DEKI TEKNOLOJI GELIŞIMININ SOSYOPOLITIK DEĞERLENDIRMESI

Rapid technology development in Istanbul raises the concerns for studying the positive or negative impact of technology on the social and political sectors where technology is affecting the world. Therefore, this study aims to conduct a socio-political assessment of technology development in Istanbul. The study used a systematic literature review approach with standards of PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) guidelines. Articles published in 2011-2022 were retrieved from Scopus-indexed journals, and screened for their authenticity, eligibility, and full-text availability for selection. A total of 150 articles were initially identified, which, after the screening, and eligibility testing resulted in N = 10 articles. The results found two important outcomes. The first one is that technology has enhanced societal knowledge and communication with information and communication technology tools such as the Internet and social media. Technology also enhanced the development of planning and collaboration, such as in the municipal sector, for rainwater harvesting systems. This is proficient for water conservation and provides the opportunity for project collaboration and investments with the government in partnerships. In addition, Istanbul’s development of Fintech solutions has also facilitated businesses and governments to foster their financial governance. The system has advanced payments, and transactions with digital payments, online banking, peer-to-peer lending, and regulatory technology for finances. In Turkey, these solutions have fostered financial governance by advancing online payment and transactions with digital access to payment systems. However, secondly, the study found negative impacts of technology development on social and political sectors such as trends of digital exclusion in society, which became a policy issue. For political sectors, included studies mainly prescribe the social media-related political battles as reflecting the negative use of technology. This also reflects the concerns of cybersecurity and threats to data and their management. Overall, the technology development requires planning and strategic implementation. Other areas of technology development, such as software development and startup ecosystems, are also recommended for future research. Keywords: technology development, social impact, political impact, Istanbul.

Past, Present, and Future of Technological Business Development: A Bibliometric Study

Objective: Business development is a capability consisting of practices and skills involved in identifying opportunities, directing, and employing resources to expand a company's value-creating activities in areas of technology or markets that are relatively new to the company, thus enabling growth. In recent years, researchers have shown an increased interest in the area of technological business development, leading to a considerable accumulation of knowledge in this field. Methodology: Accordingly, the current research utilized a systematic review approach, employing the PRISMA protocol for document screening. A bibliometric review of 205 studies, from 1984 to the present, was conducted using data analysis software such as VOSviewer and R. This included performance analyses such as the analysis of the most influential journals and authors in the field of technological business development, and network analyses including co-citation of authors, co-citation of countries, and co-occurrence of terms. The findings of this research can be beneficial for researchers and policymakers in the field of technological business development. Findings: The analyses indicate that the leading author in the field of technological business development, who has the most global citations in this area, is Keil. His article, titled "The impact of governance methods and the articulation of external business development activities on innovative performance," was published in 2008. Indeed, his paper is the most important and most cited in this field. In terms of the most influential journal, the analyses show that the journal Technological Forecasting and Social Change is the most influential in the field of technological business development. As for the most influential countries, Finland has the highest number of citations in the field of technological business development, followed by Poland, China, Korea, the Netherlands, the United Kingdom, Germany, India, the United States, and Romania. Conclusion: The results of the network analysis in this study clarified that based on the co-citation patterns of researchers, a cluster core author named Theis has the most co-citations among various authors. Additionally, the co-citation analysis of countries shows that there is established collaboration between Pakistan and Chile, Chile and China, Georgia and China, Pakistan and China, the United Kingdom and China, Macedonia and Croatia, North Macedonia and Croatia, the United Kingdom and Finland, France and India, as well as Italy and India. In the analysis of keyword co-occurrence, the results highlighted that the most frequent co-occurrences with the field of technological business development are terms such as technology, economy, strategic planning, research and development management, innovation, communities and institutions, product development, project management, small businesses, and new business development.

ТЕХНОЛОГИЧЕСКИЙ СУВЕРЕНИТЕТ РОССИИ: ФОРМИРОВАНИЕ НА БАЗЕ РАЗВИТИЯ СЕКТОРА «ЭКОНОМИКА ЗНАНИЙ»

The article is devoted to the issues of technological sovereignty of the Russian economy. The main condition for its provision is the targeted formation and development of the “knowledge economy” sector. An approach to measuring technological sovereignty in specific areas of technological development and types of economic activity is proposed. Based on the results of a regression analysis of the relationship between the costs of internal research and development and the gross added value of the “knowledge economy” sector, it has been established that there is a problem associated with the effectiveness of these costs and their subordination exclusively to the task of developing the knowledge economy. It is concluded that new approaches are needed to the formation of a knowledge economy, which should be significantly expanded primarily by increasing costs allocated to the development of new technologies, maintaining existing standard technological chains, and increasing the efficiency of these costs. The research methodology included empirical, comparative, structural and regression analysis, as well as the author’s developments in the field of quantitative measurements. The application of the author's methodology for assessing the “knowledge economy” in Russia on economic development is shown – in terms of scale and contribution to the growth rate.

Impact of Investments in Green Technologies on Energy Security and Sustainable Development in the Future

One of the key areas of technological development in the world is the development of the so-called green technologies, which allow to ensure the required level of economic growth without creating additional environmental risks. In recent years, green investments in general, and green bonds, in particular, have become an effective tool for financing green projects. The purpose of the study was to determine the impact of the development of green technologies on energy security and sustainable development of energy technologies. To achieve this goal, the following tasks were solved: the essence and main directions of development of investments in green technologies in the modern investment space were determined; the volume of investments in green technologies in the world was estimated; possible directions of influence of investments in green technologies on energy security were outlined. It is established that green bonds and green investments in general can attract investors and create prerequisites for effective ensuring a sufficient level of environmental safety. It is also noted that ESG criteria are increasingly penetrating the financial sector. The emergence of green investments is associated with growing requirements for environmental friendliness of production and corporate social responsibility. According to market participants, over the next five years, many of the world's largest companies will add ESG ratings to traditional credit ratings and metrics. In general, analysing the effectiveness of investments in green technologies will help to make informed decisions and choose optimal development strategies that help to reduce the negative impact on the environment and increase the competitiveness of companies in the global market. The study concluded that investments in green technologies have potential opportunities for companies in various industries, but the success of such investments depends on a thorough financial assessment, risk management, and long-term development strategy.

Promising methods for improving the radio-frequency ion thruster performance

Improving the reliability and efficiency of available electric propulsion schemes is one of the priority areas of space technology development. In particular, this should be done for ensuring the guaranteed removal of spacecraft to a disposal orbit at the end of their active life, which, in turn, will slow down the growth in the number of space debris objects in the most exploited regions of near-Earth space. The paper considers ways to improve the power and mass efficiency of one of the modern electric propulsion types - a radio-frequency ion thruster with an inductive radio-frequency discharge. Using an engineering physico-mathematical model, computational studies were performed to optimize the shape of the radio-frequency ion thruster main components, namely the discharge chamber and the grids of ion-extraction system. The thrust of the thruster was used as the optimization criterion; it was determined from the calculated ion density distributions in the radio-frequency discharge plasma. Such an approach to refine the performance improvement methods has not previously been applied to radio-frequency ion thruster. The ion density distributions, as well as the thruster integral characteristics determined from them, such as the thrust, total ion current from the thruster, propellant utilization factor, ionization cost and a number of others, were calculated for two actual standard sizes of radio-frequency ion thruster with the beam diameters of 80 mm and 160 mm, which can be used to solve the problems listed above. Besides, for the defined optimal configurations of thruster with two standard sizes the calculations were made to assess the possibility for increasing the thruster integral characteristics by applying an additional magnetostatic field in the radio-frequency discharge region. The study revealed the possibility of noticeable performance improvement compared to the basic radio-frequency ion thruster design with hemispherical discharge chamber and flat grids of the ion-extraction system.

How Does the Built Environment Affect Drunk-Driving Crashes? A Spatial Heterogeneity Analysis

In this research, 3356 alcohol-related traffic crashes were obtained from blood-alcohol test reports in Tianjin, China. Population density, intersection density, road density, and alcohol outlet densities, including retail density, entertainment density, restaurant density, company density, hotel density, and residential density, were extracted from 2114 traffic analysis zones (TAZs). After a spatial autocorrelation test, the multiple linear regression model (MLR), geographically weighted Poisson regression model (GWPR), and semi-parametric geographically weighted Poisson regression model (SGWPR) were utilized to explore the spatial effects of the aforementioned variables on drunk-driving crash density. The result shows that the SGWPR model based on the adaptive Gaussian function had the smallest AICc value and the best-fitting accuracy. The residential density and the intersection density are global variables, and the others are local variables that have different influences in different regions. Furthermore, we found that the influence of local variables in the economic–technological development area shows significantly different characteristics compared with other districts. Thus, a comprehensive consideration of spatial heterogeneity would be able to improve the effectiveness of the programs formulated to decrease drunk driving crashes.

The Effects of Virtual Reality Technology on Visitor Experience: Legoland, Johor, Malaysia

Nowdays, theme parks are a growingly common travel destination for tourists all over the world. According to Themed Entertainment Association (2016), theme parks provide an experience with a distinctive atmosphere and as such offer top-notch rides and attractions, a wide range of performances and events, environmental buildings and landscapes, options for dining, and eye-catching retail stores. Technology advancements have a significant impact on the travel and tourism sector, improving customer satisfaction by giving them a more immersive experience. Virtual reality (VR) is a new area of technological development that is increasingly being used in a variety of fields, including entertainment, marketing, and education (Guttentag, 2010). This research aims to understand how VR technology may enhance theme park visitors' experiences and actions. Data was gathered from 200 theme park guests who have experience VR roller coasters in the previous 12 months. The data was collected by using quantitative method. Statistical Package for Social Sciences (SPSS) was used for data analysis. The result of the study indicates that functional and experience has a significant impact on satisfaction and revisit intention at LEGOLAND Malaysia. The findings of this study can be used by the management to plan and implement marketing activities that will improve the services offered by the LEGOLAND Malaysia.

О совершенствовании механизма стратегического планирования и управления профессиональным образованием

The article analyzes the current state of the regulatory framework and the corresponding mechanism of strategic planning and management of vocational education in the Russian Federation. The main element of the mechanism for implementing state policy in the field of personnel training is the state programs of scientific and technological development and education development. Poor quality and insufficiently balanced development of vocational education is one of the main factors of weak innovation activity of the economy. In turn, this creates a low demand for the training of new generations of personnel capable of ensuring the implementation of priority areas of scientific and technological development.
 The article presents recommendations for improving the mechanism of strategic planning and management of vocational education, planning budget expenditures for science and vocational education.

The model of technology transfer from the defense industry to the civilian sector of the economy

The need to strengthen technological sovereignty and enhance the technological development of the country requires effective mechanisms for technology transfer, including from the defense sector to the civilian one. The purpose of the article is to propose a possible model for the organization of technology transfer from the military-industrial complex to the civilian sector of the economy. An analysis of statistical materials, current legislation and existing infrastructure showed that patent and technological activity in the country is declining; existing institutional support is insufficient to reverse this trend. One of the possible solutions to this issue is the organization of a technology transfer system, which will allow more active use of the capabilities of the defense industry for the development of civilian industries. The proposed model of such transfer is based on network interaction and coordination of all necessary functions within the technology transfer institution. The principles on which the model is based are substantiated: three levels of management; the possibility of state financing; a “single window” of technology transfer; information circulation; motivation of developers; personnel training system. The stages of technological transfer have been adjusted taking into account the specifics of the defense industry. The function of technological transfer for the transfer of information from industry to science is revealed, it is proposed to expand the use of the model in the direction of forecasting priority areas of science and technology development. From a theoretical point of view, technological transfer is defined as a mixed good, which justifies the role of the state in the presented model.

Modern methods of searching in systems of archiving scientific works

In the conditions of digitization of the economic and educational sectors, artificial intelligence appears as one of the trending areas of technology development and penetrates into the lives of both specialists of various fields and scientists. Artificial intelligence, being a component of the development of modern society, is gaining momentum in its use in the context of solving industrial and educational problems through its integration into key digitization technologies. Every day dozens of new tools based on artificial intelligence are created that automate processes for various needs. One of the central challenges for artificial intelligence IT solutions is the task of "understanding" text, or rather, extracting meaning from text written in natural language. Practical solutions of smart language technologies aimed at analyzing the content of the text and can be used to solve local problems when building an information system for depositing the results of intellectual activity are ultimately reduced to this task. In particular, artificial intelligence technologies can be used for: automated determination of the scientific direction to which the content of the scientific document submitted for deposit belongs; further classification of scientific work; formation of a set of metadata; development of the search module of the system. The article is devoted to the study of various methods of searching and analyzing information in a document, based on artificial intelligence, and analyzing the functional capabilities of ready-made software solutions that can be useful in building an information system for depositing the results of intellectual activity.

Bringing the Analysis of Electrodeposition Signals in Voltammetry Out of the Shadows

Voltammetry studies of electrodeposition are growing rapidly. Yet, relations for the analysis of electrodeposition reactions in voltammetry remain relatively obscure in the literature. The existing cyclic and square wave voltammetry relations for electrodeposition and their limitations are discussed to increase awareness. A retrospective analysis is performed to demonstrate the impact of model selection in improving the analysis of electrodeposition behavior with voltammetric data. A repository for voltammetry models of electrodeposition is proposed to further increase familiarity and application of the most appropriate models, which would support a rapidly growing area of research and technological development.

Advances in PET imaging of cancer.

Molecular imaging has experienced enormous advancements in the areas of imaging technology, imaging probe and contrast development, anddata quality, as well as machine learning-based data analysis. Positron emission tomography (PET) and its combination with computed tomography (CT) or magnetic resonance imaging (MRI) as a multimodality PET-CT or PET-MRI system offer a wealth of molecular, functional and morphological data with a single patient scan. Despite the recent technical advances and the availability of dozens of disease-specific contrast and imaging probes, only a few parameters, such as tumour size or the mean tracer uptake, are used for the evaluation of images in clinical practice. Multiparametric in vivo imaging data not only arehighly quantitative but also canprovide invaluable information about pathophysiology, receptor expression, metabolism, or morphological and functional features of tumours, such as pH, oxygenation or tissue density, as well as pharmacodynamic properties of drugs, to measure drug response with a contrast agent. It can further quantitatively map and spatially resolve the intertumoural and intratumoural heterogeneity, providing insights into tumour vulnerabilities for target-specific therapeutic interventions. Failure to exploit and integrate the full potential of such powerful imaging data may lead to a lost opportunity in which patients do not receive the best possible care. With the desire to implement personalized medicine in the cancer clinic, the full comprehensive diagnostic power of multiplexed imaging should be utilized.

The Perspectives of Stakeholders on Users of Care Robotics at the Intersection of Age and Gender - Results of a Qualitative Analysis

Having to face the challenges posed by a shortage of skilled care workers and an increasing number of older people in need of care, policy makers and economic enterprises perceive care robotics as a promising solution. However, studies have shown that potential users have little interest in technology and that technology developers have little knowledge about the needs and wishes of potential users. Against this background, this paper explores, based on 16 qualitative interviews with stakeholders from the area of technology development, marketing, and nursing care (science), which assumptions and expectations regarding age and gender of users are relevant in this field. The results revealed three perspectives of the stakeholders regarding the users of care robotics: 1) the need to take age and gender in development and implementation of care robotics was acknowledged, 2) the relevance of other social categories, such as education, culture and illness, was mentioned, and 3) the relevance of social categories was rejected altogether. These results are discussed in the context of discourses about diversity in care-robotics and conclusions are drawn for user-centred and diversity-sensitive technology development and implementation.

Metagenomic Methods for Addressing NASA's Planetary Protection Policy Requirements on Future Missions: A Workshop Report.

Molecular biology methods and technologies have advanced substantially over the past decade. These new molecular methods should be incorporated among the standard tools of planetary protection (PP) and could be validated for incorporation by 2026. To address the feasibility of applying modern molecular techniques to such an application, NASA conducted a technology workshop with private industry partners, academics, and government agency stakeholders, along with NASA staff and contractors. The technical discussions and presentations of the Multi-Mission Metagenomics Technology Development Workshop focused on modernizing and supplementing the current PP assays. The goals of the workshop were to assess the state of metagenomics and other advanced molecular techniques in the context of providing a validated framework to supplement the bacterial endospore-based NASA Standard Assay and to identify knowledge and technology gaps. In particular, workshop participants were tasked with discussing metagenomics as a stand-alone technology to provide rapid and comprehensive analysis of total nucleic acids and viable microorganisms on spacecraft surfaces, thereby allowing for the development of tailored and cost-effective microbial reduction plans for each hardware item on a spacecraft. Workshop participants recommended metagenomics approaches as the only data source that can adequately feed into quantitative microbial risk assessment models for evaluating the risk of forward (exploring extraterrestrial planet) and back (Earth harmful biological) contamination. Participants were unanimous that a metagenomics workflow, in tandem with rapid targeted quantitative (digital) PCR, represents a revolutionary advance over existing methods for the assessment of microbial bioburden on spacecraft surfaces. The workshop highlighted low biomass sampling, reagent contamination, and inconsistent bioinformatics data analysis as key areas for technology development. Finally, it was concluded that implementing metagenomics as an additional workflow for addressing concerns of NASA's robotic mission will represent a dramatic improvement in technology advancement for PP and will benefit future missions where mission success is affected by backward and forward contamination.