Real-time Communication Technology Research Articles

Empowering Collaborative Learning: Innovative Integration of Real-Time Communication Into Hololens-Based Learning System

This study primarily aims to investigate the effectiveness of the HoloLens-based learning system, RTCHoloLS, in enhancing collaborative learning skills in undergraduate photography courses. It provides empirical evidence showing how RTC-HoloLS addresses pedagogical challenges and improves collaborative learning outcomes, offering a holistic approach to photography education. Although Augmented Reality (AR) technology helps students theoretically understand camera operations in photography courses, it lacks in promoting collaborative learning skills during hands-on practice. To address this limitation, this study introduces the RTC-HoloLS, a HoloLens-based learning system with Real-Time Communication, and compares it to the conventional video streaming-based HoloLS (CVSHoloLS). The results indicate that RTC-HoloLS significantly enhances collaborative learning skills compared to CVS-HoloLS, highlighting the importance of integrating Real-Time Communication technologies in AR learning environments. Additionally, RTC-HoloLS was equally effective for both male and female students, whereas CVS-HoloLS showed greater benefits for male students. This suggests the need to consider gender differences in design and development to ensure the learning system accommodates all students. The findings have significant implications for instructional technology design and implementation, suggesting that educational institutions should prioritize real-time communication features in AR learning tools to enhance collaboration and interaction.

Transient Friction Analysis of Pressure Waves Propagating in Power-Law Non-Newtonian Fluids

Modulated pressure waves propagating in the drilling fluids inside the drill string are a reliable real-time communication technology that transmit data from downhole to the surface during oil and gas drilling. In the analysis of pressure waves’ propagation characteristics, the modeling of transient friction in non-Newtonian fluids remains a great challenge. This paper establishes a numerical model for transient pipe flow of power-law non-Newtonian fluids by using the weighted residual collocation method. Then, the Newton–Raphson method is applied to solve the nonlinear equations. The numerical method is validated by using the theoretical solution of Newtonian fluids and is proven to converge reliably with larger time steps. Finally, the influencing factors of the wall shear stress are analyzed using this numerical method. For shear-thinning fluids, the friction loss of periodic flow decreases with the increase in flow rate, which is opposite to the variation law of friction with the flow rate for stable pipe flow. Keeping the amplitude of pressure pulsation unchanged, an increase in frequency leads to a decrease in velocity fluctuations; therefore, the friction loss decreases with the increase in frequency.

Decoding Group Emotional Dynamics in a Web-Based Collaborative Environment: A Novel Framework Utilizing Multi-Person Facial Expression Recognition

As a crucial form of non-verbal communication, facial expressions can convey an individual’s emotional state through a combination of facial muscle movements and provide an effective approach to understanding emotional shifts among group members to a certain extent. However, in real-time collaborative environments, the increasing influx of audiovisual information can overwhelm an individual’s limited visual attention, making it challenging to observe and analyze other group members’ facial expressions continually. The failure to promptly recognize and interpret facial expressions can disrupt individual and group-level comprehension and evaluation of emotional dynamics during collaborative interactions, consequently hindering subsequent emotion management and communication. This article delves into the classification of facial expression information and its formation mechanism to thoroughly analyze the relationship between group members’ emotional perceptions and expressions in the collaboration process. Leveraging the YOLO-FaceV2 face detection model, FaceNet face recognition model, and CERN expression recognition model, we present a novel Collaborative Emotion Analysis Framework (CEAF) for multi-person facial expression recognition. By employing Web real-time communication technology, this framework is integrated into an online group meetings system, which can identify the faces and expressions of the participants and provide real-time visual analysis of their expression information. After the conclusion of the meeting, the system can perform an emotional evaluation with pre-defined operators, providing invaluable insights into the emotional dynamics of the group and individual members throughout the collaborative process. Ultimately, validation through an online meeting instance indicates that this system can facilitate groups in interpreting emotional changes among collaborative group members to a considerable extent.

Analysis and Performance Comparison of IoT Message Transfer Protocols Applying in Real Photovoltaic System

The adoption of reliable and real-time communication technology is an absolute necessity for the advancement of Internet of Things (IoT) applications. Messaging protocols such as MQTT, AMQP, and HTTP are frequently used for communication with resource-constrained IoT devices. However, choosing a suitable and effective messaging protocol presents a daunting challenge for organizations, as it depends on the specific characteristics and messaging requirements of the IoT system. Therefore, it is crucial to have a comprehensive understanding of three established messaging protocols, such as the Hypertext Transfer Protocol (HTTP), the Message Queuing Telemetry Transport (MQTT), and the Advanced Message Queuing Protocol (AMQP), to appropriately apply them in practical projects. In this paper, information technology solutions are provided for a chain of solar farms to improve harvest productivity, facilitate warning notifications, and enable remote control. Subsequently, a detailed comparative analysis is performed, considering various interconnected criteria, to gain valuable insight into the strengths and limitations of these protocols. The results show that MQTT and AMQP play a role in enhancing overall efficiency and speed within the framework of our suggested photovoltaic system.

Mechanism for Efficient Media Propagation in Event-Driven Cyber-Physical Systems

Many key applications in Cyber-Physical Systems require the transmission of speech, audio, or video. These scenarios involve the use of traditional Real-Time Communication (RTC) protocols and technologies, which cannot always be used in the context of core networks. This is particularly critical in the context of Event-Driven Architectures (EDAs), where RTC protocols require the use of complex topologies that rely on costly infrastructure. One way to avoid this is by encapsulating all media traffic in EDA protocols. However, this approach does not come without challenges. Specifically, the nature of the transport protocols causes the media to be heavily affected by application layer impairments that render their usage highly impractical. To prevent this from happening, this paper introduces a unified scheme that supports the efficient encapsulation of media traffic in EDA scenarios. This is accomplished through a mechanism that relies on a Machine Learning (ML) model that is exercised in an experimental framework.

Cyber Security for IEEE 802.1 Time Sensitive In-Vehicle Networking: Recent Advances and Impact Analysis of DoS Attacks

Dedicated computers control the operation of Cyber Physical Systems such as in-vehicle architectures with the help of sensors and actuators. Securing the real-time communication technologies for in-vehicle platforms attracts the attention of the research community. IEEE 802.1 Time Sensitive Networking (TSN) task group targets the standardization of Ethernet-based deterministic communication technologies due to its high bandwidth and low cost. IEEE P802.1DG working group specifies the profile for secure and real-time automotive embedded systems relying on TSN, which is envisioned to be widely used in future in-vehicle platforms. In this paper, we present an elaborate review of the research work on the security of in-vehicle communication networks with TSN support, and define various Denial of Service (DoS) attack scenarios targeting the real-time traffic in in-vehicle networks. We evaluate the impact of our attack scenarios on the performance of two different realistic in-vehicle communication networks with varying sizes. Experimental results show that DoS attacks can lead to severe consequences disrupting the healthy operation of safety-critical functions in a TSN-compliant in-vehicle network.

Fostering employee engagement and knowledge sharing through artificial intelligence

Artificial Intelligence is the field that growing at a rapid pace which involves the development of intelligent machines that perform tasks with the aid of human intelligence. The implementation of Artificial Intelligence has led to significant advancements in various business fields. It has the potential to transform the businesses and improve the process in many ways. Knowledge is the vital asset of any person, while its shared, it becomes an asset for many. Sharing of knowledge involves the exchange of information and expertise among the individuals in an organization. Knowledge sharing can help organizations to identify and the address problems effectively and swiftly. Engaging employee in an organization becomes a vital aspect for organizational productivity and organizational success as well. Once when an employee becomes emotionally attached to their organization, they feel responsible about their work and will work with involvement. Artificial Intelligence has the potential to promote employee engagement and knowledge sharing. Through personalized learning and development opportunities, it fosters employee engagement, whereas through real-time communication and collaboration technologies it facilitates knowledge sharing within the organization. This review article aims at discovering how Artificial Intelligence facilitates sharing of knowledge and engaging employees in the organization by undertaking a secondary method of data collection. This review article's primary goal is to add to the body of knowledge already available on the subject. The study found that adoption of Artificial Intelligence creates work environments that maximize knowledge sharing and enhances employee engagement

Revolutionizing Real-Time Communication: A Practical Implementation of MQTT in a Secure and Scalable Custom Chat Application

Abstract: The rapid evolution of real-time communication technologies has spurred the development of diverse messaging protocols, each tailored to specific requirements. This paper investigates the efficacy of the Message Queuing Telemetry Transport (MQTT) protocol in the context of real-time communication. Emphasis is placed on understanding MQTT's unique features and capabilities, positioning it as a versatile solution for custom chat applications. The study involves the implementation of a Python-based chat application, leveraging MQTT, and utilizes the broker.hivemq.com infrastructure to showcase the protocol's robustness in facilitating seamless communication between clients. By examining the intricacies of this custom chat application, this research aims to contribute insights into the practical applications of MQTT and its potential for enhancing real-time communication paradigms.

Retracted: Research on English Online Test Platform Based on Real-Time Web Communication Technology

Retracted: Research on English Online Test Platform Based on Real-Time Web Communication Technology

INTELLIGENT CONTROL METHODS FOR STREET LIGHTING SYSTEMS

This comprehensive article explores the transformative journey of street lighting systems, highlighting recent advancements in intelligent control models, methods, and algorithms. The narrative encompasses the evolution from traditional, fixed-schedule lighting to dynamic, adaptive systems that respond to real-time data, sensors, and communication technologies. The article delves into the benefits, challenges, and future outlook of these innovations, emphasizing the role of machine learning, IoT integration, and specialized algorithms. It also discusses the positive impacts on energy efficiency, safety, and the overall development of smart cities.

The Development of the Pooled Rideshare Acceptance Model (PRAM)

Due to the advancements in real-time information communication technologies and sharing economies, rideshare services have gained significant momentum by offering dynamic and/or on-demand services. Rideshare service companies evolved from personal rideshare, where riders traveled solo or with known individuals, into pooled rideshare (PR), where riders can travel with one to multiple unknown riders. Similar to other shared economy services, pooled rideshare is beneficial as it efficiently utilizes resources, resulting in reduced energy usage, as well as reduced costs for the riders. However, previous research has demonstrated that riders have concerns about using pooled rideshare, especially regarding personal safety. A U.S. national survey with 5385 participants was used to understand human factor-related barriers and user preferences to develop a novel Pooled Rideshare Acceptance Model (PRAM). This model used a covariance-based structural equation model (CB-SEM) to identify the relationships between willingness to consider PR factors (time/cost, privacy, safety, service experience, and traffic/environment) and optimizing one’s experience of PR factors (vehicle technology/accessibility, convenience, comfort/ease of use, and passenger safety), resulting in the higher-order factor trust service. We examined the factors’ relative contribution to one’s willingness/attitude towards PR and user acceptance of PR. Privacy, safety, trust service, and convenience were statistically significant factors in the model, as were the comfort/ease of use factor and the service experience, traffic/environment, and passenger safety factors. The only two non-significant factors in the model were time/cost and vehicle technology/accessibility; it is only when a rider feels safe that individuals then consider the additional non-significant variables of time, cost, technology, and accessibility. Privacy, safety, and service experience were factors that discouraged the use of PR, whereas the convenience factor greatly encouraged the acceptance of PR. Despite the time/cost factor’s lack of significance, individual items related to time and cost were crucial when viewed within the context of convenience. This highlights that while user perceptions of privacy and safety are paramount to their attitude towards PR, once safety concerns are addressed, and services are deemed convenient, time and cost elements significantly enhance their trust in pooled rideshare services. This study provides a comprehensive understanding of user acceptance of PR services and offers actionable insights for policymakers and rideshare companies to improve their services and increase user adoption.

CMS Extends Virtual Supervision of Residents to End of Year

CMS Extends Virtual Supervision of Residents to End of Year

WebRTC-based MOSR remote control of mobile manipulators.

This article describes a contribution to the field of telerobotics via the Internet through the development of a web-based platform allowing the remote control of robots by multiple users, simultaneously. It also deals with minimizing the execution times of tasks by reducing connection and interaction delays. For this purpose, the Web Real-Time Communication (WebRTC) technology is utilized. The developed remote manipulation system allows the operators to visualize the robot, its surroundings and the data incoming from its sensors, and to carry out basic tasks, either independently by the manipulator or by the mobile robot, or jointly by both mechanical sub-systems. In addition, to ensure the control of the remote robot by several operators simultaneously, a priority system managing parallel tasks and a chat system between the operators have been proposed. Besides, many teams are able to exploit the robot, concurrently. The WebRTC-based Multiple Operator Single Robot (MOSR) telerobotic platform is validated on the emulator of the RobuTER/ULM mobile manipulator through various scenarios of primitive tasks over the Internet.

Traversal Using Relays Around Nat by Coturn for Webrtc Systems

Real-time communication between people in the form of audio, images, video, and data is now a necessity. Web Real-Time Communication Technology, WebRTC, is implemented as an open web standard and is available to build such communication. WebRTC requires a server that functions as both signaling and media servers. Signaling server for establishing communication channels, exchanging information, and synchronizing changes. Media servers exchange media, codecs, bandwidth, and rate control. Different Real-time Protocol (RTP) topologies have different requirements on servers, including those caused by the NAT configuration used. This research focuses on the role of the TURN server using CoTurn to create web-based real-time communication services. How is the quality of WebRTC service when CoTurn is a TURN server to pass signaling and media. The method used is divided into three stages, namely: (1) installation and configuration, (2) building WebRTC, and (3) testing. This study shows that real-time communication in the form of audio and video can be carried out even through a symmetrical NAT configuration. It is just that with more than five users in the WebRTC system, communication is slowing down. The proposed further research is developing and engineering the RTP topology to increase the number of users. The CoTurn application can be installed on a Virtual Private Server (VPS) and configured as a TURN Server as a media server service in the WebRTC system.

Intelligent digital twin – machine learning system for real-time wind turbine wind speed and power generation forecasting

Wind power is a key pillar in efforts to decarbonise energy production. However, variability in wind speed and resultant wind turbine power generation poses a challenge for power grid integration. Digital Twin (DT) technology provides intelligent service systems, combining real-time monitoring, predictive capabilities and communication technologies. Current DT research for wind turbine power generation has focused on providing wind speed and power generation predictions reliant on Supervisory Control and Data Acquisition (SCADA) sensors, with predictions often limited to the timeframe of datasets. This research looks to expand on this, utilising a novel framework for an intelligent DT system powered by k-Nearest Neighbour (kNN) regression models to upscale live wind speed forecasts to higher wind turbine hub-height and then forecast power generation. As there is no live link to a wind turbine, the framework is referred to as a “Simulated Digital Twin” (SimTwin). 2019-2020 SCADA and wind speed data are used to evaluate this, demonstrating that the method provides suitable predictions. Furthermore, full deployment of the SimTwin framework is demonstrated using live wind speed forecasts. This may prove useful for operators by reducing reliance on SCADA systems and provides a research and development tool where live data is limited.

DESIGN AND IMPLEMENT VIDEO AND CHAT APPLICATION USING MESH NETWORK

Web Real-Time Communication (WebRTC) technology permits real-time media and data exchange between browsers. A connection is proven via a detection procedure named signalling. However, signalling has no exact definition in WebRTC. This paper aims to design and implement WebRTC chat, video communication, and recording between peers (browserto-browser) in the real application using Chrome and Firefox based on mesh topology. Thus, a signalling channel between two peers for chat and video conferencing using the following: Socket.io mechanism, Node.JS platform, and Express.JS has been produced and performed. Including, Axios (HTTP JSON), and JavaScript as the main programing language utilised. The results of this work have ensured that a signalling channel has been built and implemented. Keywords: Web Real-Time Communication (Webrtc); Session Description Protocol (SDP); Socket.Io Protocol; Node. JS, Javascript (JS); Local Area Network (LAN)

Design and Implementation of Peer-to-Peer Video and Chat Communication

Web Real-Time Communication (WebRTC) technology permits real-time media and data exchange between browsers. A connection is proven via a detection procedure named signalling. However, signalling has no exact definition in WebRTC. This paper aims to design and implement WebRTC chat, video communication, and recording between peers (browser-to-browser) in a real application using Chrome and Firefox based on peer-to-peer topology. Thus, a signalling channel between two peers for chat and video conferencing using the following: Socket.io mechanism, Node.JS platform, and Express.JS has been produced and performed. Including, Vanilla JS, Axios (HTTP JSON) and JavaScript as the main programing language utilized. The results of this work have ensured that a signalling channel has been built and implemented.

Using Socket.io Approach for Many-to-Many Bi-Directional Video Conferencing

Video conferencing has become a critical need in today’s world due to its importance in education and business to mention a few; also, recent years have witnessed a great revolution in communication technologies. However, there still exist limitations in these technologies in terms of the quality of communication established between two peers. Therefore, many solutions have been suggested for a variety of video conferencing applications. One of these technologies is Web Real-Time Communication technology (WebRTC). WebRTC provides the ability to efficiently perform peer-to-peer communication, which improves the quality of the communication. This work tries to propose a WebRTC bi-directional video conferencing for many-to-many (mesh topology) peers. In this work, signaling was obtained using Socket.io Library. The performance evaluation of the proposed approach was performed in terms of CPU performance, and Quality of Experience (QoE). Moreover, to validate the simulations results, a real implementation was achieved based on the following scenarios a) involving several peers, b) at the same time, opening several video rooms, c) a session will still be active even when the room initiator leaves, and d) new users can be shared with currently involved participants.

EPMDA-FED: Efficient and Privacy-Preserving Multidimensional Data Aggregation Scheme With Fast Error Detection in Smart Grid

Smart grids bring advantages of reliabilty and high efficiency by real-time communication technologies in contrast to the traditional grids. However, smart grids also raise concerns about privacy and security for the individual fine-grained information collection. In order to guarantee privacy and securtiy in the grids, we propose an efficient and privacy-preserving multidimensional data aggregation scheme without a third trusted party and supporting fast error detection, named EPMDA-FED, in the paper. Firstly, we adopt Chinese Remainder Theorem to pack multidimensional data and encrypt the processed data using the keys generated by the negotiation among users and the control center. Secondly, our scheme is efficient for encryption without high-cost additive homomorphic public key encryption scheme, such as Paillier cryptosystem and supporting batch verification with fast error detection. Our proposed error detection algorithm is quite efficient with sublinear computation complexity. Besides, through security analysis, EPMDA-FED is semantically secure against collusion attack and the consistency of negotiated key, authenticity and data integrity of the users’ reports are guaranteed. Finally, performance evaluation shows EPMDA-FED is more efficient than existing competing approaches in terms of computation and communication overhead.

Application prospect of time-sensitive network in airborne communication network

TSN (Time Sensitive Network) is a real-time Network communication technology being promoted by the international industry. It has the characteristics of more flexibility and high real-time performance. This paper firstly introduces the background of airborne network and real-time network. Then, TSN and the mainstream airborne communication network technology are compared and analyzed from the aspects of synchronization mechanism, scheduling strategy, redundancy and reliability mechanism. Finally, the prospect of TSN in the field of civil aviation is analyzed in general, which makes the application route of TSN in the airborne communication network more clear.