Network Era Research Articles

Speech feature extraction using linear Chirplet transform and its applications*

ABSTRACT Most speech processing models begin with feature extraction and then pass the feature vector to the primary processing model. The solution's performance mainly depends on the quality of the feature representation and the model architecture. Much research focuses on designing robust deep network architecture and ignoring feature representation's important role during the deep neural network era. This work aims to exploit a new approach to design a speech signal representation in the time-frequency domain via Linear Chirplet Transform (LCT). The proposed method provides a feature vector sensitive to the frequency change inside human speech with a solid mathematical foundation. This is a potential direction for many applications. The experimental results show the improvement of the feature based on LCT compared to MFCC or Fourier Transform. In both speaker gender recognition, dialect recognition, and speech recognition, LCT significantly improved compared with MFCC and other features. This result also implies that the feature based on LCT is independent of language, so it can be used in various applications.

PO-1078 Factors that impact patients choosing the radiation oncologist in the era of social networks

PO-1078 Factors that impact patients choosing the radiation oncologist in the era of social networks

A new era of the Asian clinical research network: a report from the ATLAS international symposium.

This report summarizes the presentations and discussions in the first Asian Clinical Trials Network for Cancers (ATLAS) international symposium that was held on 24 April 2022, in Bangkok, Thailand, and hosted by the National Cancer Center Hospital (NCCH), co-hosted by the Pharmaceuticals and Medical Devices Agency (PMDA), Clinical Research Malaysia (CRM) and the Thai Society of Clinical Oncology (TSCO), and supported by Embassy of Japan in Thailand. Since 2020, the NCCH has conducted the ATLAS project to enhance research environments and infrastructures to facilitate international clinical research and cancer genomic medicine in the Asian region. The purpose of the symposium was to discuss what we can achieve under the ATLAS project, to share the latest topics and common issues in cancer research and to facilitate mutual understanding. Invitees included stakeholders from academic institutions, mainly at ATLAS collaborative sites, as well as Asian regulatory authorities. The invited speakers discussed ongoing collaborative research, regulatory perspectives to improve new drug access in Asia, the status of phase I trials in Asia, the introduction of research activities at the National Cancer Center (NCC) and the implementation of genomic medicine. As the next steps after this symposium, the ATLAS project will foster increased cooperation between investigators, regulatory authorities and other stakeholders relevant to cancer research, and establish a sustainable pan-Asian cancer research group to increase the number of clinical trials and deliver novel drugs to patients with cancer in Asia.

Analysis on the Multimedia Information Retrieval Algorithm Based on Enterprise Correlation Financial Analysis under the Background of Big Data

At present, based on the background of the big data era, the operation of enterprises has a great impact, and relevance is a principle set to meet the needs of enterprise operation and management. In today’s digital and network era, multimedia has become the main part of the Internet information transmission, and multidisciplinary art and science communion has promoted the development of the multimedia information retrieval. As a result, this paper examines the correlation of big data against the background of financial and multimedia information retrieval algorithms.

The internet factor in the context of prevention and treatment of covid-19. To the problem statement

The article notes that the Western model of civilization based on the cult of individual legal freedom, including a clear and optimistic picture of the future developing according to the laws of liberal progress based on this cult, has been significantly shaken in recent years due to the post-informational stage of development of society, and especially with the advent of the Internet. These factors contributed to the strengthening of distressing influences in society, leading to anxious expectations of the population as a reaction to the redundancy of the uncontrolled flow of information and, as a consequence, to the growth in the 21st century of the massive demand for global security. During the SARS-CoV-2 pandemic, biopolitical projects of total security have entered into the sphere of practical politics, with Western society failing to consider the issue of public security vs. human rights in an analytically impartial and critically free capacity as scientists, including specialists in the field of public health, did 10-15 years ago. The situation that has arisen reinforces the negative socio-psychological tendencies noted above. This circumstance makes it necessary to consider the situation of a pandemic from the point of view of the special role of its network information support and the nature of organizational and methodological measures aimed at combating disease.The article examines the socially destructive and socio-psychopathological aspects of the network era, fraught with the threat of the development of mass psychosis, which was most clearly manifested in the situation of a pandemic, regardless of the specific ideological attitudes of a particular social group. The network factor and organizational and methodological measures aimed at combating the coronavirus are analyzed in detail. It is concluded that it is necessary to correct the non-optimal trends that were revealed at the height of the network era both in public sentiment and in the actions of the authorities, in terms of a more effective fight against the SARS-CoV-2 pandemic. To this end, it is proposed to take into account the laws of the network era and be actively present in the Internet space, creating from within an informational counterbalance to the observed negative trends. Specific directions in the implementation of this work are listed.

Research on Improving the Service Management Consciousness of Library Information Work Based on Network Environment

Under the background of the new era, "Internet plus" is the deep practical result of Internet thinking, which has effectively promoted the development and innovation of library information work. This article analyzes the changes in the service characteristics of library information work and the special significance of information services in the new era, probes into the promotion and application strategies of service awareness of information work, and proposes that libraries should use Internet technology to innovate the service mode of library information work in the network era, which virtually highlights the importance of enhancing the service awareness of library information work. This article starts with the importance of studying the importance of enhancing the service management awareness of library information work, elaborates on innovative service content and methods, and proposes effective application strategies based on actual situations, providing strong theoretical support for researchers.

Unethical Advertisements in the Era of Social Network

Unethical Advertisements in the Era of Social Network

Addressing ZSM Security Issues with Blockchain Technology

Undoubtedly, we are witnessing a new era of computer networks that aspire to support modern demanding applications by providing the highest Quality of Experience (QoE) to the end user. Next Generations Networks (NGNs) ensure that characteristics such as ultra-low latency, high availability and wide service coverage can be met across the network regardless of the network infrastructure ownership. To accomplish that, beyond the necessary improvements in the radio propagation field, changes have been made in the core network functions which are now characterized as programmable, and software defined. Software Defined Networks (SDNs) and Network Function Virtualization (NFV) are the keystones of the NGNs flexibility. The high expectations of NGNs’ performance and the continuous changes in the network conditions lead to the development of new network management frameworks that add elasticity and dynamicity and minimize human intervention. ETSI (the European Standards Organization) presents the Zero-touch Service Management (ZSM) framework that uses hyped technologies such as Artificial Intelligence (AI) and Machine Learning (ML) to achieve full end-to-end automation of the network services’ management across one or many different domains. Focusing on multi-domain network service management, there are several security issues identified by the standardization team which mostly derive from the lack of trust among network providers. In the present research, we explore the suitability of blockchain technology adoption for facing these security issues. Blockchain technology inherently addresses security in trustless environments such as the infrastructures defined by the ZSM team. Our contribution is three-fold: (a) we define the architecture of a multi-domain network infrastructure that adopts the ZSM approach and integrates blockchain functionality, (b) we explore the adoption of different blockchain and distributed ledger technologies (DLT) approaches to address ZSM security needs and (c) we provide guidelines to prospective solution designers/implementers on the detailed requirements that this solution has to meet to maximize the offered value.

Editorial: The New Era of Computer Network by using Machine Learning

Editorial: The New Era of Computer Network by using Machine Learning

Ensuring Security in the Age of Intelligent Connectivity: Strategic Insights for 6G Networks

The emergence of intelligent connection and 6G networks promises opportunities for advancement and creativity but poses serious cybersecurity risks. This paper offers tactical perspectives on protecting 6G networks in the face of intelligent connectivity's intricacies. The primary goals are to recognize new threats, evaluate strategic approaches to cyber resilience, investigate security solution innovations, and look at global cooperation and regulatory frameworks. The study's methodology involves synthesizing existing literature and scholarly works through secondary data analysis. Key conclusions highlight the changing nature of the threat landscape, the significance of cyber resilience, innovation's role in security solutions, and the need for robust regulatory frameworks and international cooperation. The consequences of policy highlight the necessity of adaptable regulatory frameworks, resource allocation for cybersecurity, and ongoing threat landscape modification. This research provides insightful information to help stakeholders in academia, business, and government negotiate the difficulties of maintaining security in the era of intelligent connection and 6G networks.

The Impact of Internet Economy on the Real Economy: The Case from the Food Delivery on the Restaurant Industry

The Internet economy is a new economic phenomenon from the era of information networking. The Internet can use technical means to achieve the breadth and depth human communication could not reach in the past. The Internet economy has had an impact on many traditional real economies and has caused a disruptive effect on traditional selling methods and marketing models. To explore the impact of the Internet economy on the real economy, this study selects typical Internet economy industries - the restaurant industry and food delivery. This study achieves the following main objectives. Examines the impact of food delivery on the restaurant industry. What are the positive and negative effects in today’s epidemic environment, the result of online sales on offline sales? Online marketing and offline marketing are closely related. We can change traditional dining habits and combine online and offline sales in the future.

On the Relationship Between Speed and Mobility Sampling Frequency in Dynamic Urban Networks

In the current era of mobile communications and next-generation networks, mobility analysis has a key role in guaranteeing the quality of service/experience in the available services. Although a vast amount of work has analyzed mobility from both analytic and stochastic points of view, much of it has focused on a time-based analysis and disregarded spectral features. In this article, we propose a method of analyzing the main features of mobility traces in the frequency domain and determining the possible relationships between typical mobility grades (in terms of average and maximum speed) and the required sampling frequencies. The collection and storage of mobility pattern samples when they are not required is impractical, and therefore, we attempt to demonstrate how mobility can be sampled to avoid information loss or oversampling (many works in the literature are based on a default sampling period of 1 s). The work also contributes with the proposal of a closed form for relating the sampling period and average moving speed with the spectral components. We conducted numerous simulations to confirm that, compared with classical sampling approaches that provide static behavior, it is possible to obtain a gain of about 35%–65% in the collected samples, with a negligible loss of accuracy in the reconstructed signal.

사진을 활용한 시 쓰기 교육 연구

Objectives This study searched for a method to enhance both writing poetry and quality of media language education, using photographic images in a poetry writing class. Focusing on the similarity of the meaning structure of photography and poetry, confirmed that self constructed idea and embodying the nature of the metaphoric experience of poetry writing education was possible. Teaching writing a poetry shall start from teaching and learning that can profoundly use poetry in the daily lives and express stories that can be empathized. Writing photographic poetry class where a student can implement a special meaning in their daily lives, is composed of student activity oriented class. Likewise, photographic poetry is a result of emotional relationship creation, embodying the value and ideology they want to reveal into a poetry, using the photographic images they have chosen.
 Methods The objects of this study were 278 male students in Y highschool of Seoul, second grade, 11 classes. In this study, chose second grade students of Y highschool, got permissions beforehand and set the research period from the 19th of September to 24th of October in 2022, and proceeded research class. Collected activity report and survey as soon as the class ended and analyzed the results.
 Results Learning the expression of ‘self-compositional ideas’ and ‘the substance of metaphorical experiences’ expressed in the process of poetry classes using photography was able to solve the problems of learners who avoid poetry writing classes and burden from vague poetry writing tasks. In addition, through a series of processes from photo planning and photography, learners' participation and satisfaction in class were greatly improved, and the effectiveness of classes and the quality of lectures were improved. The results of the poem writing class using the photos of this study are summarized as follows. First, students became interested in poetry class. Second, through photographic poetry writing class conducted in a free atmosphere, it was confirmed through survey results that they had no difficulty in expressing their emotions in poetry language. Third, by sharing their photographies and poetries with their friends, they grew in confidence in writing a poetry.
 Conclusions In the future, research on incorporated literature teaching research shall be activated, for each level poetry writing of students who live in the era of social network. Hoping this tendency of change in literature education for the new era after the pandemic to prolong, there should be various poetry writing class method beyond single poetry writing class.

Relationship between Social Media Use and Social Anxiety in College Students: Mediation Effect of Communication Capacity.

An increasing number of college students are experiencing social anxiety in an era of prevalent social networking. College students' social anxiety may be related to their social media use. However, this relationship has not been confirmed. This study aimed to investigate the relationships between different types of social media use and social anxiety among college students, and the mediation effects of communication capacity in this context. A large sample of 1740 students from seven colleges in China was analyzed. Bivariate correlation and structural equations analysis showed that passive social media use was positively correlated with social anxiety. Active social media use was negatively correlated with social anxiety. Communication capacity partially mediated the relationship between social media use (passive/active) and social anxiety. Active social media use may reduce social anxiety by positively mediating communication capacity, while improved communication capacity may reduce the contribution of passive use to social anxiety. The differences in the effects of different social media use on social anxiety deserve the attention of educators. Developing communication capacity education around college students may help reduce their social anxiety.

Analysis of the development path of short video news communication based on the 5G era

Short video emerged as a new form of communication and was applied to news communication, resulting in short video news. Video news has changed the mode of news communication centered on mainstream media and enriched the form of news communication. In the coming era of 5G network, the development of short video news will receive stronger technical support and a new development path will emerge. Short video news to ultra high-definition communication advanced development; Add new concept science and technology elements, short video news presentation forms diversified development; The content classification is refined to open the iterative development of short video news; Algorithm technology enables short video news to develop into intelligent scene.

Research on sports reform in the network era based on educational psychology in the context of the COVID-19.

In the context of the continuous progress of the "Internet+" era and the exceptionally severe outbreak of the Covid-19, online education confronts many challenges and also brings unlimited development opportunities. In this paper, taking six universities with sports majors in Chongqing as the research objects, we analyze the current situation and problems of the development and construction of online education resources for sports in colleges and universities by browsing the official websites of colleges and universities, investigating the cooperation between colleges and universities and Massive Open Online Course (MOOC), and conducting a questionnaire survey on students. The results show that it is necessary to innovate the traditional inefficient classroom teaching model based on the values of adapting to the characteristics of the "Internet+" era and learning advanced teaching rules, thus optimizing teaching effectiveness and fostering students' independent learning, thinking and innovation. We investigated students' online learning habits, their experience of using online education platform and the difficulties they encountered in the process, based on which two issues were raised: learning needs and learning experience.

Identifying multiple influence sources in social networks based on latent space mapping

We are currently in a network era which enables us to communicate more widely and more easily via the social networks. Meanwhile, negative information, such as fake news, rumors and computer viruses, often spread in social network. In order to restrain the propagation of such negative influence, we must find its sources in the network. But in real-world applications, we usually only know the scope of the negative influence spreading, and do not know who first propagates the negative influence. However, we can identify the sources of the negative influence based on the information of some observed nodes which are negatively influenced. This is the problem of influence sources locating. To tackle this problem, we present a latent space mapping-based method for identifying the multiple influence sources in the independent cascade model. The method first detects the candidate sources of the observed nodes based on message passing in a reversed network. An algorithm is presented to calculate the activation probability between nodes according to the influence spreading pattern in the independent cascade model. To evaluate each node’s rationality as the propagation source, we use the difference between the length of the path influencing an observed node and its activation time. We define two latent spaces, namely the influence senders and receivers’ latent spaces, and map the nodes into these two latent spaces to form a model describing the influence propagation. An estimation-maximization-based algorithm is proposed to optimize the propagation model. Based on this model, we propose a latent space mapping-based algorithm to identify the influence sources. The probability for each node to be a source is calculated by its positions in the latent spaces. Finally, k nodes with the largest probabilities are selected as the sources. Empirical results demonstrate that the influence sources identified by the proposed method can influence more observed nodes at more accurate time than other methods.

Modernizing Construction Of Integrity: A Conceptual Proposal for Technical Means of Anti-corruption

The fourth plenary session of the 19th Central Committee of the Communist Party of China (CPC) pointed out that we should adhere to and improve the socialist system with Chinese characteristics and promote the modernization of the national governance system and governance capacity. The modernization of clean government results from the needs of the times, top-level political design, and other multi-layered factors. The modern characteristics of national governance modernization, such as institutional, scientific, and up-to-date, enhance the level of clean governance, in the era of human-computer integration and universal network, how to improve the integrity of governance modernization has become the proposition of the times. This paper adopts a positivist paradigm research approach to investigate the shortcomings of technological tools in China's anti-corruption system through the analysis and application of relevant data in the field of anti-corruption, and to make corresponding conceptual recommendations for the establishment and application of new technological tools in the field of anti-corruption.

Specific Strategies for Innovating Marketing Models of E-commerce Enterprises in the Internet Era

With the rapid iteration of information technology, the internet age has changed people's way of life. Network platforms have become an important component of people's leisure, entertainment, work and other activities. Therefore, e-commerce has been widely applied and developed, which has a lot of impact on people's consumption patterns. Compared to traditional consumption models, the online era provides a more convenient mode for consumer shopping. Online shopping solves the limitations of time and space, providing consumers with a convenient and fast shopping experience. Therefore, traditional marketing models under modern technology are no longer suitable for the requirements of e-commerce enterprises, and exploring innovative marketing models has become a key issue restricting the development of e-commerce enterprises. Based on the current development status of e-commerce, this article analyzes and studies the impact of the new e-commerce environment on the marketing of e-commerce enterprises in the network era. Based on the challenges faced by e-commerce enterprise marketing model innovation in the network era, specific strategies for e-commerce enterprise marketing model innovation in the network era are proposed, in order to provide certain assistance for the development of e-commerce enterprises.

Квест как геймифицированный инструмент развития медиакомпетентности студентов в эпоху постправды

The current issue of the development of media literacy among modern students is considered. In the era of social networks and the intensification of “fake news”, teaching young people the rules of countering disinformation is the first step towards creating a safe information field. The subject of the research is a quest as a tool for the development of media competence. The purpose is to identify the potential of the quest as a tool for developing critical thinking. We consider the gamified format of media literacy development optimal for today’s students, representatives of generation Z, since it is the zoomers who appreciate the introduction of game elements into the learning process as a reference to their rich gaming experience. The stages of creating an educational quest are considered, the technology of its implementation based on the author’s case “Media-Compass” is described. The conclusion is made about the high potential of the quest as a dynamic, emotionally saturated tool for the development of media competence among the modern generation of students in the post-truth era.