Era Of Communication Research Articles

Efficient Slice Creation in Network Slicing using K-Prototype Clustering and Context-Aware Slice Selection for Service Provisioning

The advent of 5G technology has ushered in a new era of communication where the customization of network services is crucial to meet diverse user demands. Network slicing has emerged as a pivotal technology to achieve this customization. In this research, we present an innovative approach to optimize network slicing in 5G by employing K-Prototype Clustering for slice creation and Context-Aware Slice Selection for efficient resource allocation. In slice creation, we delve into the innovative application of the K-Prototype clustering algorithm. Recognizing that 5G networks encompass numerical and categorical attributes, the K-Prototype algorithm enables the creation of network slices that cater to diverse service requirements. By harnessing this clustering technique, our proposed method optimizes the creation of network slices, resulting in improved resource utilization and reduced network congestion. Furthermore, we introduce the concept of Context-Aware Slice Selection, which considers the dynamic and evolving nature of network demands. Context-awareness ensures that network slices are selected based on real-time contextual information, enabling a more adaptive and responsive network. This approach leads to the efficient allocation of resources and a higher quality of service for end-users. To evaluate the performance of our proposed methodology, we employ key performance metrics, including slice selection accuracy, slice selection delay, and radio link failure. Through comprehensive testing and analysis, our research demonstrates that our approach consistently outperforms existing methods in terms of these metrics.

Cyberbullying Detection Model for Arabic Text Using Deep Learning

In the new era of digital communications, cyberbullying is a significant concern for society. Cyberbullying can negatively impact stakeholders and can vary from psychological to pathological, such as self-isolation, depression and anxiety potentially leading to suicide. Hence, detecting any act of cyberbullying in an automated manner will be helpful for stakeholders to prevent any unfortunate results from the victim’s perspective. Data-driven approaches, such as machine learning (ML), particularly deep learning (DL), have shown promising results. However, the meta-analysis shows that ML approaches, particularly DL, have not been extensively studied for the Arabic text classification of cyberbullying. Therefore, in this study, we conduct a performance evaluation and comparison for various DL algorithms (LSTM, GRU, LSTM-ATT, CNN-BLSTM, CNN-LSTM and LSTM-TCN) on different datasets of Arabic cyberbullying to obtain more precise and dependable findings. As a result of the models’ evaluation, a hybrid DL model is proposed that combines the best characteristics of the baseline models CNN, BLSTM and GRU for identifying cyberbullying. The proposed hybrid model improves the accuracy of all the studied datasets and can be integrated into different social media sites to automatically detect cyberbullying from Arabic social datasets. It has the potential to significantly reduce cyberbullying. The application of DL to cyberbullying detection problems within Arabic text classification can be considered a novel approach due to the complexity of the problem and the tedious process involved, besides the scarcity of relevant research studies.

An integrated FBWM-FCM-DEMATEL model to assess and manage the sustainability in the supply chain: A three-stage model based on the consumers’ point of view

While sustainability is recognized as a crucial aspect of supply chain (SC) management, its implementation within a SC is often fraught with challenges. These challenges encompass possible causal relationships and trade-offs among sustainable SC (SSC) practices, spanning all three dimensions of sustainability. Furthermore, the increasing importance of consumers’ point of view in the rapid and widespread communication era highlights the imperative to integrate this view into the SC’s sustainability efforts. This paper proposes a comprehensive model for assessing and managing the implementation of sustainability in the SC while effectively tackling these challenges and requirements. Specifically, across three distinct stages, the model enables (1) identifying the SSC practices from the consumers’ point of view and ranking them based on their contribution to the overall sustainability; (2) determining the causal relationships among the practices and assessing the sustainability status of the SC; and (3) prioritizing the practices and developing improvement scenarios to improve the overall sustainability of the SC. To support its objectives, the proposed model employs social media analysis and scenario planning, along with three key techniques, including the Fuzzy Best-Worst Method (FBWM) for ranking the practices, Fuzzy Cognitive Mapping (FCM) for determining the possible causal relationships among the practices and assessing the sustainability status, and Decision-Making Trial and Evaluation Laboratory (DEMATEL) for segmenting the practices based on their cause-and-effect relationships. Finally, the paper presents an empirical study in which the proposed model is applied to a mobile phone and smartphone (MPSP) SC, representing one of the most commonly consumed products in contemporary human life.

GESTÃO ESCOLAR E TECNOLOGIAS DE ACESSIBILIDADE PARA ALUNOS ESPECIAIS NO ENSINO FUNDAMENTAL

This scientifi c paper which is the theme of information and communication technologies and their contributions to the inclusion of people with disabilities in fundamental education, and aims to contribute both inform the reader about the current Brazilian political landscape in terms of education with disabilities and their integration into the school environment, since in our country many of these rights have been violated by the government did nothing to change or make the scenario of abandonment that our young people and adults fi nd the way to have a little respect and citizenship. In this context it is inconceivable that in our country in the era of instant communication and digital technologies, breaking physical barriers beyond the frontiers of knowledge, not yet looked at the issue of disabled people, such as technological resource can help them facilitate the work of Professor classroom that often is unprepared to deal with special students, because it can optimize the process of teaching and learning of people with disabilities, contributing to the satisfaction of Their school performance.

Design and Implementation of Nursing-Secure-Care System with mmWave Radar by YOLO-v4 Computing Methods

In computer vision and image processing, the shift from traditional cameras to emerging sensing tools, such as gesture recognition and object detection, addresses privacy concerns. This study navigates the Integrated Sensing and Communication (ISAC) era, using millimeter-wave signals as radar via a Convolutional Neural Network (CNN) model for event sensing. Our focus is on leveraging deep learning to detect security-critical gestures, converting millimeter-wave parameters into point cloud images, and enhancing recognition accuracy. CNNs present complexity challenges in deep learning. To address this, we developed flexible quantization methods, simplifying You Only Look Once (YOLO)-v4 operations with an 8-bit fixed-point number representation. Cross-simulation validation showed that CPU-based quantization improves speed by 300% with minimal accuracy loss, even doubling the YOLO-tiny model’s speed in a GPU environment. We established a Raspberry Pi 4-based system, combining simplified deep learning with Message Queuing Telemetry Transport (MQTT) Internet of Things (IoT) technology for nursing care. Our quantification method significantly boosted identification speed by nearly 2.9 times, enabling millimeter-wave sensing in embedded systems. Additionally, we implemented hardware-based quantization, directly quantifying data from images or weight files, leading to circuit synthesis and chip design. This work integrates AI with mmWave sensors in the domain of nursing security and hardware implementation to enhance recognition accuracy and computational efficiency. Employing millimeter-wave radar in medical institutions or homes offers a strong solution to privacy concerns compared to conventional cameras that capture and analyze the appearance of patients or residents.

A Semi-Social Media Platform for Teacher-Student Communication: MyU vs. WhatsApp and E-mail

In the era of digital communication, online communication has become an integral part of the teacher-student relationship. With the increasing use of online platforms, such as e-mail and instant messaging, teacher-student communication has shifted from traditional face-to-face interactions to a more virtual setting. This paper’s main objective is to identify the effectiveness of communication between university students and faculty members through the MyU application, compared with WhatsApp and e-mail. A sequential mixed-methods approach is adopted through qualitative semi-structured interviews (3 participants) and one focus group (5 participants), followed by a quantitative tool, an e-questionnaire filled by 365 university students who use MyU in Saudi Arabia and Kuwait. Key findings can be summarized as follows: (1) 70% have been using MyU for 1 to 4 years, 50% of which are students at Kuwait University; (2) 87% believe that one of the advantages of MyU is the ability to join the academic section group; (3) 67% stated that if they had to choose between using MyU and using WhatsApp to communicate with their teachers, they would choose MyU, compared to 92% who stated that if they had to choose between using MyU and using e-mail to communicate with their teachers, they would choose MyU; (4) 84% hope that all students and faculty members get to know about MyU; (5) there is a statistical relationship between the length of using MyU and the knowledge of MyU features, namely: choosing a profile picture, recording voice messages, blocking users, and the option of knowing if a message was read (in private chats). In conclusion, this work has broadened the scope of research on social media as a new means of teacher-student communication. Future studies should consider teachers’ experiences with MyU compared to other platforms and means of communication with students. Keywords: social media, teacher-student communication, MyU application, educational technologies, Saudi Arabia.

U.S. and Japanese Consumer Attitudes Toward Tailored and Targeted Communication with Human and Chatbot Agents

Consumers in the United States (n = 290) and Japan (n = 221) participated in 2 × 2 experiments designed to test effects of agent type (online human or chatbot) and communication strategy (targeted or tailored) on attitudes toward messages and agents. In both national samples, tailored messages were more effective in positively affecting attitudes. In addition, perceived humanness was found to mediate the relationships between agent type and attitudes such that when human or artificial agents are perceived as more human in text exchanges, perceived humanness in turn increases attitudes toward both the agents and messages. Hypothesized effects based on individualism-collectivism were not found. Theoretical and practical implications for designing interactive message strategy via conversational chatbots in an era of artificial intelligence (AI) and global communication are discussed.

Wireless Information and Energy Transfer in the Era of 6G Communications

Wireless Information and Energy Transfer in the Era of 6G Communications

Classical Machine Learning and Large Models for Text-Based Emotion Recognition

In the era of digital communication, detecting emotions has become crucial for applications ranging from customer service to mental health assessment. This study examines emotion recognition in text through various machine learning techniques, from traditional machine learning techniques, to advanced large language models (LLMs) such as BERT, Falcon 7B, and Mistral 7B. The results reveal that the fine-tuned Mistral 7B model is the most precise, achieving an accuracy of 76%. Furthermore, Support Vector Machine attained an accuracy of 64%.

Increasing demand of meme elements on Digital Media: From the POV of Visual Communication

Nowadays, in this era of Computer mediated communication, talking on social media has become very easy and exciting. Communicating on social media in new ways not only connects people to each other but also provides them a pleasant experience. At this time, where digital media is spreading everywhere and new methods of communication are emerging every day. In such a situation, joking and communicating through memes (an image, video, piece of text, etc., typically humorous in nature, that is copied and spread rapidly by internet users, often with slight variations) is in the news among the youth society. A large number of youth communicate through social media and memes. Actually, in a simple way, a meme is a method by which on social media, one event is linked to another event in a humorous way. Moving forward in this work, there are many types of memes and many ways to communicate with them.With the help of this article, we will try to understand the meme communication prevalent among the youth from the perspective of immersive mass communication.

A New Vision of Wireless Edge Caching Networks (WECNs): Issues, Technologies, and Open Research Trends

The future generation of wireless cellular system is expected to accommodate extensive latency-sensitive, tactus-aware, and data-intensive intelligent applications, thereby posing significant challenges on current network architectures. For meeting the challenges, wireless edge caching has been envisioned as a viable enabler. However, the underlying key issues therein, such as reliability, effectiveness, and the joint design, are significantly undervalued. The reliability issue refers to the data-corruption problem incurred by hardware impairments, software upgrades, and network congestion at edges. The effectiveness issue here expresses the unsatisfactory cache hit efficiency. Whilst the joint design aims to acquire the tradeoff among different metrics. In this article, we are dedicated to filling these research gaps. Therewith, we first brief the hierarchical wireless edge caching network architecture with proactive mechanisms. Then, we elaborate on the research roadways towards these critical issues and examine how fault-tolerant coding and bundle recommendation strategies can potentially enhance the reliability and the effectiveness of edge caching in future intelligent communication era. Moreover, the interplay between forgoing mentioned aspects is illuminated as well. A pair of case studies are exemplified to further demonstrate the validity of our devised versatile solutions. At last, the open research opportunities and future trends are identified.

A comprehensive study on the effect of molecular chain flexibility on the low-temperature curing ability of polyimides

As stringent demands for PI materials with low-temperature curable properties have increased in the high-frequency communication era, the introduction of flexible structures has gained prominence for enhancing molecular chain mobility.

Reimagining the Coach–Athlete–Environment Relationships in the Digital Communications Era

The evolution of 4G and 5G digital technologies is (re)shaping contemporary methods of coaching by removing the requirement for coaches to be physically present at practice and competition venues. This technological advance provides opportunities for sports organisations, especially those with limited resources, to implement innovative learning and performance solutions by delivering remote coaching. In this insight paper, we reimagine what “the coaching environment” could look like by considering how the remote context may shape coaching. Currently, there is limited understanding of the use and implementation of such approaches, highlighting a need for further research to be conducted to better understand how online environments may impact the coaching process. We propose how adopting an ecological dynamics approach may align with existing research within coaching science and contemporary theorising in skill acquisition and motor learning, advocating a learner-centred approach to coaching. We then introduce and discuss the work of Roger Barker with a focus on “behaviour settings” and how this perspective may provide a lens for future research to explore different coaching environments. When complemented by ethnographic methodologies, this approach may provide a novel way to understand how coach–athlete interactions are framed in situ.

Bibliometría y Cienciometría, conocimiento y práctica indispensables para los estudiantes de ciencias médicas

During the last century there has been a spectacular increase in scientific production at international and national level, as well as its compilation in automated bibliographic databases, whose results have great influence on the economic and social development of countries, which demands the quantification and evaluation of scientific and technological activity, its results and yields. Bibliometrics and scientometrics are increasingly positioned as essential disciplines to measure the results of science, and despite this, not all members of the student scientific community recognize them as necessary in the information and communications era, as a way to improve and bring to higher levels the excellence in the student research process and its impact on scientific publications. Bibliometrics studies the quantitative aspects of the production, dissemination and use of recorded information, to which end it develops mathematical models and measurements that, in turn, serve to make forecasts and decisions about these processes. For its part, scientometrics studies the quantitative aspects of science as a discipline or economic activity, is part of the sociology of science, and finds application in the establishment of scientific policies, where it includes, among others, those of publication.

The Application of Moderate Politeness into School Practices of An Urban Muhammadiyah Primary Students in The Era of Global Communication

Language politeness is considered one of the defining characteristics of Indonesian society. In the age of global communication and computing, moderate politeness, centered on politeness of opinion, politeness in deliberation, and politeness in respecting the opinions of others, is an important factor. However, progressive politeness in Urban Muhammadiyah Primary School is becoming a growing concern that requires special attention. The purpose of this study was to examine this violation in the interactions between learners, teachers, and principals in Yogyakarta, Indonesia. This study adopts a qualitative approach with a case study design. The data were collected from interviews, observations, and documentation. Interviews were conducted with classroom teachers, principals, and learners, while observations were recorded through field notes and reflections. Moreover, audio-visual documentation in the form of photographs, videos, and recordings during the learning processes and interactions between learners or teachers were utilized. Data collection was based on four strategies: observation, interview, documents, and audio-visual, as outlined in Creswell's theory. Validity was examined using data triangulation, member checking, prolonged duration of data collection, repeated observations in the study location, and peer examination. The findings of the study include a) There was a violation of the politeness through bullying, body shaming, and verbal abuse, which violated the principles of appreciation and sympathy. b) Urban Muhammadiyah Primary School helped promote language politeness through several methods, including performing Duha prayers, morning recitation with assistance from the teacher and principal, and teacher role modelling by arriving at school at 06.15 and reciting Asmaul Husna together. Importantly, these efforts positively affected the politeness of the learners. This study provides an update on the assistance given to learners to address impoliteness, including Duha prayers, morning recitation, and memorization of Al-Qur'an and Asmaul Husna assisted by teachers. Moreover, the school has a well-equipped School Health Unit (SHU) to promote a healthy, clean, disciplined, and polite lifestyle. Appeals are made through persuasive and affectionate books and direct assistance from teachers as role models. The study of the Quran and Asmaul Husna demonstrates children's moderate politeness in expressing their opinions. The agreement to develop a joint discipline demonstrates the children's moderate politeness in deliberation.

Millennial Jihad in the Digital Age: Critical Discourse Analysis of Self-Radicalization and Self-Recruitment among the Millenial Generation

This investigation delves into the profound impact of technology and social media by examining jihad narratives within the millennial demographic. The millennial generation, employing an innovative strategy of self-directed learning, has moulded propositions, paradigms, dual meanings, and religious narratives, resulting in the emergence of two pivotal terms: self-radicalization and self-recruits. Utilising Teun A Van Dijk’s critical discourse analysis, we scrutinise a news item, unraveling discourses and multiple meanings. Our findings intricately expound upon the contextualisation of millennials, technology, the Internet, social media, YouTube, radicalism, jihad, and religious narratives—a trilogy that introduces a groundbreaking terminology: Critical discourse analysis of self-religious narratives, with a specific focus on self-radicalization and self-recruitment. This study propels our comprehension of how millennials navigate and influence religious discourses in the era of digital communication.

At the confluence of ethics, laws and society: global working theory merging bio-ethics

The pressing global challenges facing humanity highlight the urgency of reconciling medicine, society and ecology. By shedding light on the role of theories of translation and justification, the intention here is to show the potential usefulness of an in situ bioethics that reconciles practices in medicine and ecology. Science and policy should be reassembled in hybrid working theories developed, adopted and reframed by/for Society. Yet, a major challenge emerges from translating ethics, sciences, and economics claims, both within expert and lay milieus. This paper proposes foundational pillars for operationalizing the Potterian view of global bioethics. Van Rensselaer Potter challenged the perspective that compartmentalizes values, knowledge and laws, proposing ways to bridge them by linking appreciative, descriptive, and normative knowledge. The missing link, however, is a coherent governance process that coordinates the thinking, ordering, and enacting in the world. Based on an extensive revision of the Potterian legacy and action-research case studies, this article applies the Global theoretical view in the complex in situ practice of bioethics. Little known outside the world of academic bioethics, Potter’s primarily scientific curriculum helps translate and operationalize the socio-political reflections of notable contemporary philosophers of science and critical social theoreticians such as Karl Popper, Thomas Kuhn, John Rawls, Bruno Latour and Jürgen Habermas. In this era of mass communication, government education programs, and large-scale research funding, I propose a conceptual framework for operating a Community-based Global Bio-Ethics, echoing the 60th anniversary of Habermas’ call for The Structural Transformation of the Public Sphere (1962).

Practice and reflection on online and offline blended teaching of cross-school study in building and sharing news English listening and speaking courses

In today's era of rapid information dissemination and global communication, the learning of news English has become crucial and plays a significant role in improving students' language listening and speaking abilities. This paper discusses the application of a blended teaching model for cross-school study in building and sharing a news English listening and speaking course, aiming to integrate teaching resources from different schools, achieve resource sharing and optimization through blended teaching both online and offline, promote the exchange of ideas among students, then ultimately enhancing the teaching quality of cross-school study courses, and cultivating students' English communication skills.

Smart sensing enabled dynamic spectrum management for cognitive radio networks

Cognitive Radio Networks (CRNs) have ushered in a transformative era in wireless communication, reshaping the landscape of radio spectrum utilization and management. At the core of CRNs lies the pivotal capability to sense the radio frequency spectrum dynamically and adapt transmission parameters to preemptively address interference and optimize spectrum utilization. This article addresses the escalating challenges associated with Quality of Service (QoS) management in CRNs, exacerbated by their dynamic nature, especially in scenarios characterized by high mobility. Concurrently, the article underscores the critical significance of energy efficiency, given its direct implications on network operational costs and sustainability. To effectively navigate the intricate interplay between QoS and energy management in CRNs, we propose a Smart Sensing Enabled Dynamic Spectrum Management scheme (SSDSM). Within the SSDSM framework, cognitive user energy undergoes intelligent sensing, while QoS is governed through dynamic spectrum management. The proposed scheme optimizes service response time by refining fuzzy-based controllers and curtails energy consumption through periodic sensing triggered by predefined rules. Operationalizing within a centralized paradigm, the entire network is overseen by a central controlling node, tasked with formulating an optimal channel list using the SSDSM scheme and allocating it to cognitive users. The efficacy of the proposed scheme is evaluated and validated through rigorous testing using MATLAB. Results reveal tangible enhancements in system efficiency, encompassing maximized throughput, reduced handoff ratio, and minimized service response delay. This research contributes to the ongoing discourse on advancing the performance metrics of cognitive radio networks in the pursuit of reliable and sustainable wireless communication services.

Mixed gray-color images encryption algorithm based on a memristor chaotic system and 2D compression sensing

Multi-image encryption has attracted great interest in the era of secret communication, however, the mixed encryption of gray and color images has been reported rarely. Meanwhile, the security of image encryption based on chaos system depends heavily on the performance of pseudo randomness and sensibility. Thus, a four-dimensional chaotic system is improved by introducing a memristor, which has good nonlinear characteristic and can enhance chaotic property. It is found that this new system possesses larger chaotic scope and exhibits a coexistence phenomenon, all of which reveal the intricate nature and underlying application. After the verification of spectral entropy and circuit simulations of the new system, a mixed-image encryption algorithm based on two-dimension compression sensing (2DCS) is designed innovatively. To achieve the target of compression and encryption, the image set is first preprocessed and varied utilizing DWT, and then is sampled by measurement matrix in two-dimension. Next, the pixels of compressed image set are diffused by employing DNA coding. The accuracy of reconstruction image is closely related to the randomness and sparsity of the measurement matrix. Chaotic system with pseudo-randomness can be fully exploited to fabric a measurement matrix. Hence the Toeplitz cyclic chaos matrix is conceived and the reconstruction accuracy does have better results. In addition, this method can not only encrypt multiple mixed images with grey and color simultaneously, but also compress them with different sizes and less storage space. At last, the reliability of the novel algorithm is assessed through a series of reconstruction and security performance tests. The results indicate that the encryption scheme has a better effect than encrypting one kind of image, and prove that the algorithm has high reconstruction accuracy and security.