Future Information Society Research Articles

Information Metasurface for Electromagnetic Sensing and Wireless Communications

AbstractThe integration of electromagnetic sensing and wireless communication is considered as one of the fundamental characteristics of the future information society. Here, it is propose to realize the electromagnetic sensing and wireless communication using a single information metasurface. For sensing function, the metasurface serves as a remote sensor that can image the surrounding target and locate the local user based on random receiving patterns. For communication function, the metasurface transmits the sensing information to the local user by modulating the radiation phase of directional beam that points to the local user. Experimental results validate the ability of the information metasurface in electromagnetic sensing and signal transmission to designated user, showing great potentials of the information metasurface in realizing intelligent, universal, and ubiquitous electromagnetic terminals in the future information society.

Deep Learning Method of Predicting MANET Lifetime Using Graph Adversarial Network Routing

The prominence of mobile ad-hoc networks (MANETs) is on the rise. Within the domain of machine learning, a specialized subset known as deep learning (DL) employs diverse methodologies, each providing unique interpretations of the data it processes. In existing system the vulnerabilities of MANETs to security threats stem from factors such as node mobility, the potential for MANETs to provide economical solutions to real-world communication challenges, decentralized management, and constrained bandwidth. The efficacy of encryption and authentication methods in safeguarding MANETs encounters limitations. Intelligence will be the future development direction of network adaptive optimization technology in response to the increasingly complex mobile communication network. Data from mobile communication is a crucial part of the future information society. This paper propose adaptive optimization scheme , employs a machine learning algorithm that is capable of realizing the optimal parameter configuration and coordinating various optimization objectives in response to changes in state and environment. The coordination and advancement of social, versatile and area administrations make the customary informal organization easily change to portable correspondence organization. Creation of a system that can learn some rules from data and apply them to subsequent data processing is the research objective. This paper examines the machine learning-based algorithm for big data analysis and effectively addresses the issue of communication network data using graph theory and the experimental result shows higher lifetime prediction accuracy compare to previous system.

High Sensitivity Multiple Microcavity Enhanced 3-D Printed Micro-Stud Array Ultrafast Response Detector at 6G Frequency

The next generation of communication 6G technology in the terahertz band is crucial for the development of the future high-speed information society. How to achieve a highly sensitive response to low power density terahertz signals at room temperature has been one of the frontier research hot issues within this field. In addition, the reproducible line height of the device and its availability for mass production are also urgent issues to be addressed. Here, We have proposed a 6G detector based on combining the advantages of sub-wavelength micro-structures, 3D micro-cavity, and Weyl-semimetallic films. The localized surface plasmon (LSP) effect by the micro-stud array is used for the enhancement of the light-matter interaction. Also, the 3D structure leads to a micro-cavity allowing for a near enhancement of the interaction on a small scale. Furthermore, the 0-band gap of the Weyl-semimetal and the enhanced response to low-energy photon displacement currents near makes the Weyl-semimetal more suitable for detecting terahertz waves. In addition, the use of projection micro stereolithography 3D print technology combined with magnetron sputtering of thin films makes this terahertz detection technology solution reproducible, low cost, simple processing, and promising for industrial production, contributing to the development and diffusion of 6G technology.

A Study of Mobile and Wireless Network Communication from Security Perspectives

Abstract: It has been well recorded and is widely recognized worldwide that the usage of mobile devices to perform government business has expanded over the previous 15 years. Threat actors are consequently increasingly focusing on mobile devices and the mobile infrastructure environment in order to look for opportunities for malicious exploitation that could hurt or damage the reputation of government agencies and Enterprise as well. The various protocols, standards, techniques, and systems that are available determine the security measures that are taken. An overview of security procedures, standards, and related technologies is provided. The high-capacity wired and wireless broadband network serves as the foundation for the working environment. The main study areas, current projects, and services on offer are discussed. The future information society is the focus of all endeavors. In order to help organizations create an enterprise-wide mobile security strategy and policy, this paper explains the security features of the mobile security management ecosystem like products, tools, technologies and services. We have talked about how mobile phone services are protected from dangers to information security from the standpoint of developers. Mobile Internet usage has grown, and with it, threats against mobile phones and the services they offer. On the other hand, various rapacious software or attackers are attempting to target these services.

A routing method with adaptively adjusting memory information based on local routing history.

Finding the shortest paths for packets from sources to destinations in packet-switched communication networks is an inevitable problem in building a future high-speed information society. A routing method with memory information has already been proposed to alleviate the congestion of large volumes of packet flow. This routing method shows a high transmission completion rate even for large volumes of packet flows in communication networks with scale-free properties. However, the method exhibits poor performance for networks with local triangular connections and long distances between nodes. To overcome these problems, in this study, we first enhanced the routing performance of the conventional communication network models by using the betweenness centrality of nodes, which is one of the network centralities that measures the number of shortest paths that pass through each node in the networks. Subsequently, we adaptively changed the transmitting paths of packets by using only local information. Numerical simulations indicated that our routing method performs successfully for various topologies of communication networks by avoiding the congested node, and effectively using the memory information.

Ақпараттық қоғамдағы тұлғаның құндылықтық әлемі

The article considers, first of all, the nature of the information society as a new stage of social development. An analysis of the prerequisites and signs of the development of the information society will be carried out. Special attention is paid to identifying the successes and dangers of the information society. It is shown that the current stage of development of the information society is characterized by the formation of a “knowledge society”. Attention is focused on the value world of the individual in the culture of the information society and is determined by the specifics of the value world of the individual as a phenomenon of the culture of the information society and the image of the socio-cultural process. It is proposed to consider the potential of the value world of the individual as a model of the future information society. In order to recognize the value world of man in the information society, an overview of the history of values is given, it is noted that a massive crisis is taking place in our modern culture, ritual traditions and value orientations, and to solve it, the most important task of modern culture is to create in the future a new system of spiritual values that will guide and regulate the progressive development of mankind. Methods of philosophical and theoretical generalization of domestic and foreign sources, description, systematization and comparison of research materials, hermeneutics were used as the main methods of studying the problem of the value world of the individual in the information society.

Future of Networked Information Society: A Deeply Interconnected “Primitive Society”

Human society is evolving toward the future network information society. In this paper, we identify the interconnected level as the key factor driving the evolution of human society and incorporate it into our proposed evolutionary model of social formation. We show the entire process of social formation evolution at the interconnected level through theoretical analysis and simulation. Our result is consistent with what human beings have gone through. By contrast, the result presents the following four characteristics of the future network information society: the personalization of goods or services, the downsizing of enterprises or organizations, the decentralization of production or life, and the sharing of production or living tools. We regard the future network information society as a deeply interconnected “Primitive Society”.

Automatic Production Technology of Data News Based on Machine Learning Model

Data news does not appear out of nowhere. It is the result of the press’s ongoing exploration and innovation as part of the ongoing development of information technology. It is based on early computer-assisted news reporting, statistical news and precise news. In terms of theory and technology, it is a game-changer. The media industry is most sensitive to new technologies and is most willing to apply new technologies in the entire process of news reporting, such as information acquisition, content production and management, and content release, in an era of great changes in the popularity of the Internet and the in-depth application of data processing technology in all walks of life. The data news intelligent production platform investigated and designed in this paper, when combined with current emerging technologies, such as big data, cloud computing, and machine learning algorithms, realizes intelligent and automatic news production, ushering traditional news into an era of intelligence, knowledge, and digitization. Machine learning has made significant progress in the automatic production of data news technology and will continue to do so in the future information society.

ACHIEVEMENTS AND CHALLENGES OF SYSTEMS STUDIES ON ENERGY DEVELOPMENT IN RUSSIA, THEIR POSSIBILITIES IN THE "DIGITAL" SOCIETY

The paper addresses major achievements, current trends, and challenges in systems studies on energy development. Further evolution of the methodology for these studies in the context of "digitalization" will depend on the development of artificial intelligence tools. The scope of planned work and possible means for its implementation in the systems studies on the energy development in the future information society are investigated for various forms of its organization.

Anisotropic magnetic liquid metal film for wearable wireless electromagnetic sensing and smart electromagnetic interference shielding

Smart and wearable electromagnetic (EM) functional materials that can reasonably use EM energy and prevent EM pollution are of great significance to the future information society, but their design and preparation are still challenging. Here, a multifunctional EM response film is prepared based on a magnetic liquid metal droplet-filled elastomer with magnetic field-induced anisotropic structure, which can reversibly construct conductive network and tune heterogeneous interface during cyclic stretching. This film can withstand up to 600% tensile strain and shows stretching-enhanced electrical conductivity. Its EM interference shielding effectiveness (SE) significantly increases with stretching, and the relative SE change (ΔSE/SE0) shows a linear response to the tensile strain. The specific shielding effectiveness (an ultrahigh value of 404 dB mm−1 at 400% strain) and strain sensitivity of the film outperform other stretchable EM functional materials. More interestingly, this film exhibits rapid switching between EM wave transmission and shielding through continuous stretching, which enables an off/on switchable EM interference shielding function. Furthermore, it can be used in a wearable EM sensor to wirelessly monitor human movements by recording changes of EM wave intensity.

Half a Century of Systems Studies into Developing the Power Industry in the Soviet Union and Russia: What Next? (Review)

The centenary of the adoption of the GOELRO Plan2 marked this year is a remarkable date for power engineering. Fifty years later, the comprehensive energy method used to develop the plan became one of the bases of the methodology for system studies into the development of the power industry. The preconditions for the emergence of this methodology are considered and its basic scientific, methodological, and applied results are characterized. The latter are represented in chronological order over two stages of the socio-economic development of the country. During the Soviet period, the theory and basic methods and models were created for system studies into the development of the fuel and energy sector of the country, its industries, and regional subsystems (1970–1980) and their application to the long-term panning of the development of the Soviet Union’s power industry began (1981–1991). These preconditions facilitated the formation of procedures and apparatus for managing the development of the power industry of the reformed Russia (1992–1998). The system study tools adapted to the market conditions were used from 1999 to 2008 to develop the documents for strategically planning the development of the country’s power industry. Theoretically, this activity was continued after the 2009 economic crisis; later, however, it lost its systemic character and did not apply advanced studies into the prospects of the developments of Russia’s economy. Finally, the courses of the development and potential applications of this research area are discussed in alternative, mobilizing or liberal, concepts of the organization of the “future information society” (2035–2050). In this review, publications on the management of the development of large-scale energy systems are considered. The aspects of their optimal functioning are the subject of another review3.

Vision and Challenges for Knowledge Centric Networking

In the creation of a smart future information society, IoT and CCN break two key barriers for both front-end sensing and back-end networking. However, we still observe the missing piece of the research that dominates current networking traffic control and system management, for example, lacking the knowledge penetrated into both sensing and networking to glue them holistically. In this article, we propose leveraging emerging machine learning or deep learning techniques to create aspects of knowledge to facilitate the designs. In particular, we can extract knowledge from collected data to facilitate reduced data volume, enhanced system intelligence and interactivity, improved service quality, communication with better controllability and lower cost. We this knowledge-oriented traffic control and networking management paradigm Knowledge Centric Networking (KCN). This article presents the rationale for KCN, its benefits, related works and research opportunities.

Hyperconnected Network: A Decentralized Trusted Computing and Networking Paradigm

With the development of the Internet of Things, a complex CPS system has emerged and is becoming a promising information infrastructure. In the CPS system, the loss of control over user data has become a very serious challenge, making it difficult to protect privacy, boost innovation, and guarantee data sovereignty. In this article, we propose HyperNet, a novel decentralized trusted computing and networking paradigm, to meet the challenge of loss of control over data. HyperNet is composed of the intelligent PDC, which is considered as the digital clone of a human individual; the decentralized trusted connection between any entities based on blockchain as well as smart contract; and the UDI platform, enabling secure digital object management and an identifier-driven routing mechanism. HyperNet has the capability of protecting data sovereignty, and has the potential to transform the current communication-based information system to the future data-oriented information society.

미래 지능정보사회의 교육에 대한 예비 과학 교사들의 인식 조사

The purpose of this study was to examine the awareness of pre-service science teachers about secondary education in future intelligence information society. The research tool was composed of three areas such as the change of educational system, the role of teacher and the teacher’s competency required for teaching in the future intelligence information society. Thirty four pre-service science teachers were requested to write freely their thoughts about them. Their answers were categorized to the detailed areas. Preservice science teachers predicted that ubiquitous education will become more common as the teaching and learning methods of artificial intelligence and robotic engineering would be improved, and the role of teachers and also the number of teachers are greatly reduced in the future intelligence information society. They thought that the instruction would be mainly carried out by robots or artificial intelligence, and teachers would be expected to play a role of co-teaching with humanity instruction and artificial intelligence. In the future intelligence information society, students would be required the competencies such as information literacy, communication ability, technology and media literacy. It is necessary to develop a pre-service teacher training program to educate students for preparing future intelligence information society, and to raise educational philosophy and goals, curriculum, education contents, education method, and educational purpose of teacher training course.

E-health status in the information society and its future prospects

E-health one of the important applications of information and communication technologies (ICT) in the field of public health services and treatment that projects its launch, within the framework of a comprehensive e-government program and runs the Information Society. Thus, e-health, including health services and health information via the Internet. Therefore, the availability of and prospects for the future information society in preparation for implementation of e-health, information society is essential. The aim of this study was to investigate the introduction of e-health in the information society and its associated aspects as well as the development of e-health and future prospects. Continue to assess the impact of each of these aspects will be addressed in the development of the health sector, aspiration and vision development. Paper Type: letter to editor.

Futures of a distributed memory. A global brain wave measurement (1800–2000)

If the global brain is a suitable model of the future information society, then one future of research in this global brain will be in its past, which is its distributed memory. In this paper, we draw on Francis Heylighen, Marta Lenartowicz, and Niklas Luhmann to show that future research in this global brain will have to reclaim classical theories of social differentiation in general and theories of functional differentiation in particular to develop higher resolution images of this brain's function and sub-functions. This claim is corroborated by a brain wave measurement of a considerable section of the global brain. We used the Google Ngram Viewer, an online graphing tool which charts annual counts of words or sentences as found in the largest available corpus of digitalized books, to analyse word frequency time-series plots of key concepts of social differentiation in the English as well as in the Spanish, French, German, Russian, and Italian sub-corpora between 1800 and 2000. The results of this socioencephalography suggest that the global brain's memory recalls distinct and not yet fully conscious biases to particular sub-functions, which are furthermore not in line with popular trend statements and self-descriptions of modern societies. We speculate that an increasingly intelligent global brain will start to critically reflect upon these biases and learn how to anticipate or even design its own desired futures.

The Design for Petroleum Engineering Cost Management System Based on B/S Architecture

Information highway with computer network technology as the core, its rise and development, make the function of information system and the connotation constantly development and improvement, for the future information society provides an efficient, fast, and even intelligent work environment. In view of the defects of petroleum in engineering cost management, it put forward the " design of petroleum engineering cost management system based on B/S architecture ", by this scheme can improve the efficiency of existing petroleum engineering cost management, cost management for oil development has great benefits.

Educación estadística: relaciones con la matemática

This article argues that the main reason for teaching Statistics is statistical literacy, which is essential for the students to be productive members in the future information society. In addition, the significant consensus on teaching this discipline is presented. As Statistics appears within the Mathematics curriculum, the similarities and differences between the disciplines are discussed. It is also stated that research in statistical education is quite dissimilar from that in mathematical education, and the didactics are also different. Finally, the key issue of teacher training is addressed.

Information Society and Libraries. Part 1. The Temptation of “Destroying Library Essence”

The economic basis of a future information society is characterized. Digital communications and the book communications which element are libraries are compared in the paper. The tendency of destroying library essence in the information society is revealed by the author. Personal features Homo informaticus and the phenomenon of reading’s dysfunction are considered.

Green multicast grooming based on optical bypass technology

With the network traffic increasing, the energy consumption of network equipments is growing greatly. Under the background of serious greenhouse effect, the excessive energy consumption has become a major barrier of developing the future information society. For this reason, the issue of saving energy followed by the grooming and optical bypass technology has become particularly important. In this paper, in order to perform the energy-saving for multicast demands, we present the multicast grooming policies and also develop a new auxiliary graph to support the multicast routing in green optical network. Based on the proposed auxiliary graph, a novel Multicast Green Grooming (MGG) approach by using the energy-efficient optical bypass technology and the effective grooming policy combination is proposed to reduce the occupied energy-consuming equipments that mainly include the core router ports, optical transceivers and amplifiers. Simulation results show that, compared to the traditional approach, MGG not only can obtain the lower blocking probability but also is able to save significant energy.