Communication Environment Research Articles

Decentralized learning control for high-speed trains with unknown time-varying speed delays

Treating the multi-point-mass dynamic model of high-speed trains as an interconnected system, this study proposes a decentralized iterative learning control scheme for high-speed trains to achieve the trajectory tracking goal. By making reasonable estimates of the interaction term and compensating for it, the proposed control scheme utilizes only local information from each carriage and does not need any inter-carriage information exchange. The zero-error tracking of the desired trajectory is guaranteed even in a restricted communication environment. Considering unknown time-varying speed delays in the actual high-speed train operations, a modified decentralized iterative learning control scheme is also provided to address the negative impact of speed delays. The convergence of tracking errors is strictly proven by constructing appropriate composite energy functions. Numerical simulations further verify the theoretical results.

IRS-assisted UAV wireless powered communication network for sustainable federated learning

Intelligent reflective surface (IRS) and unmanned aerial vehicle (UAV) communication are indispensable potential technologies in the future sixth-generation mobile communication technology (6 G). Utilizing the high beamforming gain of IRS and the high mobility of UAV can achieve ubiquitous network coverage and ensure a high-quality communication environment. Wireless Powered Communication Network (WPCN) is an emerging green communication technology network that converts received radio frequency (RF) signals into electrical energy to power Federated Learning (FL) users. FL users perform local computing and model transmission through the collected energy, ensuring the sustainability of FL. In order to solve the problems of complex communication environment, privacy protection, and energy constraints on terminal devices, we design an FL system based on an IRS-assisted UAV wireless power communication network, which minimizes the UAV transmission energy by jointly optimizing UAV location, IRS phase shift, and resource allocation strategies. We use a low-complexity iterative algorithm to solve this complex non-convex problem. The simulation results show that the performance of the proposed algorithm is obviously better than that of other benchmark schemes, indicating that joint optimization plays an essential role in improving the performance of the system.

Exploring the potential of pantomime games in medical education: Non-verbal exercise

The primary educational challenge in medical education is the lack of focus on non-verbal communication skills, such as body language, facial expressions, and gestures. This gap is crucial, particularly in multicultural and multilingual contexts where non-verbal cues can bridge language barriers and enhance understanding between healthcare professionals and patients. To address this, our wave explores the potential of integrating art, specifically pantomime games, into medical education as a non-verbal exercise. Inspired by ancient drama and role-play, pantomime games offer an innovative methodology for enhancing non-verbal communication skills. These games help students develop observation, empathy, and ambiguity tolerance—skills essential for effective healthcare delivery. Incorporating art and game-based learning into medical curricula has improved visual perception, personal reflection, and student engagement. The benefits of this integration extend globally, fostering emotional intelligence, creative thinking, and cross-cultural understanding. Educational games create a safe environment for students to experiment, learn from mistakes, and gain practical experience, ultimately reducing training time and instructor load. Moreover, non-verbal communication training can enhance professor-student interactions, improving feedback quality and learning outcomes. To implement these innovations, clear guidelines and effective facilitation are crucial. Educators should provide supportive environments for experimentation and learning, using minimal materials such as open spaces and simple props. High-resource settings can leverage AI technologies for feedback and create mobile applications to modernize the approach. This wave advocates for a student-centered, multimodal communication and learning environment, highlighting the transformative potential of integrating performing arts into medical education to prepare future healthcare providers better.

From Impoliteness to Aggression: Examining Cyberbullying Patterns on Sina Weibo Using the “Discourse-Cognition-Society” Model

This study applies Culpeper’s Impoliteness Strategy and van Dijk’s “Discourse-Cognition-Society” Model to analyze 664 comments from nine cyberbullying incidents on Sina Weibo, examining these within their social contexts. Ten sub-strategies were identified, belonging to two main categories: bald-on record and off-record impoliteness strategies, finding a dominant use of bald-on record strategies. Our analysis underscores that with the use of impoliteness strategies, cyberbullying language mirrors the cognition and ideologies of speakers, such as traditional attitudes towards “good students” and the prejudice against non-mainstream appearances, reflecting the trends in public opinion, influencing societal cognition and dynamics. Extending van Dijk’s framework, our study offers new insights into the complex interplay between online communication, societal realities, and cognitive processes. Furthermore, this study proposes recommendations for managing online communication, conducive to fostering a sound online communication environment.

Digital Communication Crisis: The Case of Patiswiss Brand

Developments in information and communication technologies have intensely changed the way individuals communicate. The increase in technological innovations has led to the emergence of some risks for businesses, as well as the advantages it offers. Chief among these risks is that individuals have begun to easily express their expectations and complaints -especially in the context of the products they buy and use- through social media platforms where interaction and content sharing are possible. An individual who spends a significant amount of his time in the digital environment is both exposed to the content created by other users and can have an impact on many people by producing content. Under these conditions, social media environments and consumers/customers who use these environments intensively have positive effects on companies and brands at a level that will increase sales, and negative effects at a level that may cause a crisis. Managing technology-mediated communication environments is important in terms of managing such effects. The aim of this study is to reveal how the crisis is managed and/or attempted to be managed through digital media, within the framework of the need to manage the crisis that emerges through a content, issue, event that comes to the fore regarding the company(ies) in the digital media and spreads rapidly among the masses. In the study, which focused on digital communication, crisis management was discussed through a case study of the Patiswiss brand over the series of events that broke out in April 2024. The headlines and spots of the news published in the digital environment regarding the crisis process, developments and resolution of the crisis were analyzed through 5W1H. As a result, it has been observed that the communication language was transformed by developing a successful strategy after the attack and threat based communication method used in the beginning.

Communication Partners' Perceptions of Their Roles and Responsibilities in the Design, Planning and Use of Augmentative and Alternative Communication With Individuals With Severe or Profound Intellectual Disability: A Qualitative Descriptive Study

ABSTRACTBackgroundThis study explores communication partners' perceptions of their roles and responsibilities in the design, planning and use of augmentative and alternative communication (AAC) with individuals with severe/profound intellectual disability.MethodsA qualitative descriptive approach was used. Purposive sampling, data collection and qualitative content analysis were undertaken simultaneously. Data were collected from nine participants, four parents and five professionals over 4 months through audio or video‐recorded, semi‐structured, open‐ended interviews.FindingsAn overarching theme ‘Maximising Communication through AAC’ emerged, capturing participants' unanimous agreement that their shared goal was to optimise individuals' communication through AAC. This was influenced by three themes: ‘Developing a Communicative Environment’, ‘The Act of Communicating; Attempting to Realise the Individuals' Ability’ and ‘Living with Uncertainty’.ConclusionsThese findings contribute to enhancing understanding of AAC use with individuals with severe/profound intellectual disability and their communication partners.

Choosing where to work: an empirical study of collaborative activities’ impact on workspace choice behavior

Purpose In today’s rapidly evolving work landscape, the design of office spaces is a crucial concern for organizations. Companies are redefining offices as collaboration hubs to entice employees back to in-person work. However, the understanding of how employees choose their workspaces, especially for collaborative activities, and how this should inform office design is lacking. Workers’ collaborative activity patterns can help better understand workspace choice behavior (WCB). In two studies, this paper aims to explore which characteristics of collaborative activities to consider when reshaping offices. Design/methodology/approach Data collected in a cross-sectional study design at a research institution (n = 285) and a university (n = 352) were used for confirmatory factor analyses and regression analysis. Findings The first study shows that collaborative activities can be classified into three distinct types: coordinative activities (planned and formal), deep collaboration (planned and complex) and spontaneous communication (informal and short encounters). The second study revalidates this classification and reveals patterns impacting WCB. Frequency and location preference of spontaneous communication and work environment satisfaction are strong predictors of on-site work. Personal characteristics like gender, age, managerial position or commute time are less consequential than assumed. Practical implications The results pinpoint guidelines for office designers and leaders in shaping effective workspaces and policies. Originality/value This paper provides new insights into classifying collaborative activities and personal characteristics, activity characteristics and environmental factors influencing WCB.

Network impact analysis on the performance of Secure Group Communication schemes with focus on IoT

Secure and scalable group communication environments are essential for many IoT applications as they are the cornerstone for different IoT devices to work together securely to realize smart applications such as smart cities or smart health. Such applications are often implemented in Wireless Sensor Networks, posing additional challenges. Sensors usually have low capacity and limited network connectivity bandwidth. Over time, a variety of Secure Group Communication (SGC) schemes have emerged, all with their advantages and disadvantages. This variety makes it difficult for users to determine the best protocol for their specific application purpose. When selecting a Secure Group Communication scheme, it is crucial to know the model’s performance under varying network conditions. Research focused so far only on performance in terms of server and client runtimes. To the best of our knowledge, we are the first to perform a network-based performance analysis of SGC schemes. Specifically, we analyze the network impact on the two centralized SGC schemes SKDC and LKH and one decentralized/contributory SGC scheme G-DH. To this end, we used the ComBench tool to simulate different network situations and then measured the times required for the following group operations: group creation, adding and removing members. The evaluation of our simulation results indicates that packet loss and delay influence the respective SGC schemes differently and that the execution time of the group operations depends more on the network situations than on the group sizes.

Foreign studies of simulation training in professional teacher education: literature review

Simulation teaching methods are actively used in the training of doctors and in clinical practice, but in the context of higher pedagogical education, their large-scale consideration began relatively recently. It is important to integrate the experience of business and role-playing games, the potential of the case method and the capabilities of virtual spaces to create a cognitive and communicative learning environment for teachers working with different student populations. The article presents foreign publications devoted to these problems.

An ultra lightweight neural network for automatic modulation classification in drone communications

Unmanned aerial vehicle (UAV)-assisted communication based on automatic modulation classification (AMC) technology is considered an effective solution to improve the transmission efficiency of wireless communication systems, as it can adaptively select the most suitable modulation method according to the current communication environment. However, many existing deep learning (DL)-based AMC methods cannot be directly applied to UAV platform with limited computing power and storage space, because of the contradiction between accuracy and efficiency. This paper mainly studies the lightweight of DL-based AMC networks to improve adaptability in resource-constrained scenarios. To address this challenge, we propose an ultra-lightweight neural network (ULNN). This network incorporates a lightweight convolutional structure, attention mechanism, and cross-channel feature fusion technique. Additionally, we introduce data augmentation (DA) based on signal phase offsets during the model training process, aimed at improving the model’s generalization ability and preventing overfitting. Through experimental validation on the public dataset RML2016.10 A, the ULNN we proposed achieves an average precision of 62.83% with only 8815 parameters and reaches a peak classification accuracy of 92.11% at SNR = 10 dB. The experimental results show that ULNN can achieve high recognition accuracy while keeping the model lightweight, and is suitable for UAV platform with limited resources.

TAVA: Traceable anonymity-self-controllable V2X Authentication over dynamic multiple charging-service providers

The widespread deployment of Electric vehicles (EVs) leads to an increasing demand for charging piles and corresponding charging service (CS) from CS providers (CSPs). Pseudonym-based authentication mechanisms have been designed to resist the attacks which exploit the charging-authentication information to infer EV users’ identities and their driving routes. However, these existing mechanisms generated EV users' pseudonyms by relying on a trusted third entity, which affects the authentication system's resilience and EV user privacy-preservation.To this end, this paper proposes a Traceable Anonymity-self-controllable V2X Authentication (TAVA) scheme for the multiple-CSP (forming a CSP set) scenario, where each CSP independently manages its own CPs and a CSP randomly joins or leaves the CSP set. TAVA has a series of security capabilities. (1) First, it allows the mutual authentication between an EV user and a CP, while preserving EV user privacy and also assuring forward and backward security. This capability is achieved by using the multi-party computation technique to let all CSPs join the process of generating EV-users’ credentials but each CSP knows nothing about the credentials. (2) Secondly, TAVA has the capabilities of self-controllable anonymity and unlinkability by allowing each EV user to self-generate verifiable and unlinkable one-time pseudonyms based on bilinear- mapping technique. (3) At last, each EV user under TAVA is traceable. It is achieved by applying the two-factor authentication technique in TAVA and linking the one-time pseudonym to the two factors, namely, the credential and the EV user's biometric characteristics with low entropy rates. Note that all these security capabilities are achieved with less performance degradation in terms of communication and storage overheads in the dynamic environment. We conduct the informal and formal analysis of security capabilities and also make performance evaluations. The results indicate that, compared with the latest works, the computation overhead of the mutual authentication in TAVA is reduced by up to 89 %.

NARRATIVE MULTIMODAL TEXT AS A TYPE OF MULTIMODAL TEXT

The modern communication environment is saturated with multimodal information with which a person actively interacts in everyday life. Researchers of multimodal texts have proven that the perception of these texts differs from the perception of linear monomodal texts, since the semantic load in the multimodal text is distributed between verbal and non-verbal modes. However, in addition to the multimodality itself, such texts may have other features, for example, narrative. Currently, quite a few works are devoted to the study of narrative multimodal texts in general, as a type of multimodal texts. In our work, we pay attention to narrative multimodal texts. The article analyses the concept of narrative multimodal text, provides a classification of these texts. Features of interaction of narrative and multimodality within one text are considered, influence of narrative on correlation of modes in the text is revealed, as well as influence of two given features on perception of such texts. The issue of further study of narrative and multimodality interaction within one text is actualised.

Impact of internet contact on the ideological and mental health education of university students

In the Internet era, the communication environment of university students’ ideological and mental health education (IMHE) has become more complex. Few studies have focused on the communication effect of Internet contact on the IMHE of university students. This study adopts a questionnaire survey method to explore Internet contact and IMHE of 2294 university students. The study found that Internet was the most important information source for university students. Nearly half of the university students spent 2–5 hours online per day for entertainment or fragmented learning. Educational films, communication and discussion, and classroom teaching were the three most popular forms of IMHE for university students, while comments on current events, psychological counseling, and national policies and regulations were the three favorite contents. Internet contact during (ICD) had significant impacts on the cognitive and behavioral communication effect of IMHE among Chinese university students. The emotional dimension had the best communication effect, followed by behavior and will, and finally the cognitive dimension. After conducting IMHE, university students had stronger emotional management abilities and were more optimistic. This finding suggested that when developing and implementing IMHE intervention for university students in schools, special attention should be paid to the impact of ICD differences on the communication effect of IMHE, especially cognitive communication needed improvement.

Silencing the voices of discontent: How the new digital communication environment reinforces the spiral of silence in the Yemeni crisis

Silencing the voices of discontent: How the new digital communication environment reinforces the spiral of silence in the Yemeni crisis

ASAP: A lightweight authenticated secure association protocol for IEEE 802.15.6 based medical BAN

Medical Body Area Networks (MBANs), a specialized subset of Wireless Body Area Networks (WBANs), are crucial for enabling medical data collection, processing, and transmission. The IEEE 802.15.6 standard governs these networks but falls short in practical MBAN scenarios. This paper introduces ASAP, a Lightweight Authenticated Secure Association Protocol integrated with IEEE 802.15.6. ASAP prioritizes patient privacy with randomized node ID generation and temporary shared keys, preventing node tracking and privacy violations. It optimizes network performance by consolidating Master Keys (MK), Pairwise Temporal Keys (PTK), and Group Temporal Keys (GTK) creation into a unified process, ensuring the efficiency of the standard four-message association protocol. ASAP enhances security by eliminating the need for pre-shared keys, reducing the attack surface, and improving forward secrecy. The protocol achieves mutual authentication without pre-shared keys or passwords and supports advanced cryptographic algorithms on nodes with limited processing capabilities. Additionally, it imposes connection initiation restrictions, requiring valid certificates for nodes, thereby addressing gaps in IEEE 802.15.6. Formal verification using Verifpal confirms ASAP's resilience against various attacks. Implementation results show ASAP's superiority over standard IEEE 802.15.6 protocols, establishing it as a robust solution for securing MBAN communications in medical environments.

Compensation control of commercial vehicle platoon considering communication delay and response lag

The real-time accurate control of vehicle is of great significance for the stability of platoon driving. To address the impact of random time-varying communication delays, communication packet loss, data disorder, and significant response lag of commercial vehicle on platoon control performance in non-ideal communication environment, a novel compensation control method for commercial vehicle platoon is proposed to overcome the abovementioned issues. The proposed method significantly improves the impact of communication issues and vehicle response lag on platoon control, ensuring platoon safety while reducing inter-vehicle spacing and spacing error, and maintaining platoon stability. In addition, this method combines the comprehensive compensation mechanism with the Distributed Model Predictive Controller (DMPC), avoiding the establishment of additional compensation control modules and effectively reducing the computational burden. The results under emergency braking condition show that, compared with the method without compensation, the proposed method significantly reduces inter-vehicle spacing and spacing error, reducing the average maximum spacing error from 29.25 m to 1.44 m, shortening the error convergence time of the platoon by 28 %, and ensuring platoon stability. Additionally, compared to the compensation method based on Kalman Filtering (KF) and Smith predictor, the proposed method can reduce the average maximum spacing error by 60 % while maintaining similar convergence time and platoon stability.

Advanced error correction method for quantum key distribution in IoT systems

The secure distribution of keys is essential to ensuring the privacy and integrity of data in Internet of Things (IoT) systems. Quantum Key Distribution (QKD) protocols, such as BB84, use principles from quantum mechanics to establish secure communication channels. However, errors that occur during the transmission of qubits can compromise the reliability of the shared key. This paper presents a new method for error correction that integrates Convolutional Neural Networks (CNNs) into the BB84 protocol for QKD in IoT systems. By harnessing the exceptional pattern recognition capabilities of CNNs, our approach learns hierarchical representations from preprocessed quantum channel data to effectively identify and correct errors. Extensive simulations demonstrate the high performance of our CNN-based method in reducing the Quantum Bit Error Rate (QBER). This contribution significantly enhances the security and reliability of key distribution, offering a promising solution for robust quantum communication in IoT environments.

To the epistemology of the concepts “information”, “data” and “knowledge”: legal and regulatory aspect

About the assessment of some rational views on the understanding and interpretation of the concepts “information”, “data” and “knowledge” and their application in law-making in connection, in particular, with the development of the electronic and communication environment. It was determined that human nature contains both a rational and an intuitive principle.

Devcomms : “Where Developers Innovate And Unite”: Research Review

In today's fast-paced technological landscape, effective collaboration among developers is crucial for innovation and progress. "DevComms: Where Developers Innovate and Unite" is a pioneering platform designed to address the challenges of fragmented communication and limited collaborative coding tools. This comprehensive ecosystem integrates advanced technologies such as Next.js 13, React, Tailwind, Prisma, MongoDB, Next Auth, and Pusher to offer a seamless and enhanced coding experience. By incorporating a state-of-the-art real-time compiler, DevComms sets new standards in developer collaboration, fostering a unified environment for communication and code development. This paper explores the transformative potential of DevComms in revolutionizing developer interactions and establishing a new paradigm for collaborative ingenuity in the tech community.

Pengaruh Komunikasi dan Lingkungan Kerja Terhadap Kinerja Pegawai CV. Santoso Teknik Karawang

The purpose of this research is to find out how employees perform at CV. Santoso Teknik Karawang is influenced by communication and the work environment. Descriptive and verification methods using a quantitative approach are the research methodology used. The population of this study was 50 employees or all CV employees. Santoso Engineering Karawang. Non-probability sampling techniques are applied in the sampling process because each member is sampled. A Likert scale questionnaire was used as part of the data collection method. Validity test, reliability test, classical assumption test, multiple linear regression test, t test, f test, and determinant coefficients are some of the data analysis techniques used and processed with the SPSS version 22 application. The findings from the t-test show that communication has a partially significant effect on employee performance, while the work environment does not have a significant effect on employee performance. The f-test of this research shows communication and work environment at CV. Santoso Teknik Karawang simultaneously has a significant effect on the performance of CV employees. Santoso Engineering Karawang.