Intelligent Communication Research Articles

Изкуственият интелект в здравния PR

What is the role of artificial intelligence (AI) in healthcare public relations? How is it reshaping the world of health PR? Is AI a threat to healthcare PR or becoming their indispensable assistant? The purpose of the scientific report is to answer these and other questions regarding the application of artificial intelligence in health public communications. The methods used for the purpose of this report are the analysis and synthesis of data from bibliographic sources, as well as the analysis of the results of conducting a scientific experiment in a digital environment with artificial intelligence of the latest generation. Results. The role of AI in health PR is increasingly tangible and fully imposed in the system of international health care – the chatbot of the WHO in the Viber communication platform is a universal bridge between the Organization and its audiences and provides multi-layered opportunities for awareness on all possible health issues. An identical result is also on Facebook‘s Messenger platform. AI is gradually changing the business environment in every field, including healthcare. AI in the face of ChatGPT is becoming both an assistant to health PRs and a major rival. Discussion. Recent breakthroughs in AI technologies could significantly and permanently transform health PR and how it is implemented. The PR profession is not a disappearing species, as it is associated with a deep thought process, creativity, contacts, and connections with „living” people. These activities are so far beyond the reach of artificial intelligence, yet the best professionals will stand out and remain. The results of the scientific experiment set a direction for striving for an increasingly accurate representation of health PR specialists in their professional field. Conclusion. ChatGPT can compose relevant texts, slogans, even messages that are highly effective when applied in the practice of health PR. In the foreseeable future, this technological innovation will be further refined. Chatbots as part of the idea of communication through AI is an area where the role of PRs is to carefully consider each message and the logical connection between the messages. The following recommendations emerge for future research on the topic: to monitor the technological progress of AI and to find new niches in health PR activities in which AI finds application.

Analyzing Digital Platforms Appropriation to Support Organization Communication through Industry 5.0 Paradigm

The digital revolution through the Internet, connected technologies, and virtual platforms transforms whole human activities including policies, the economy, education, the environment, and so on. Thus, in developed and developing countries particularly, social media and digital platforms appropriation results in virtualization of daily communication practices for human wellbeing in society and organizations. This paper aims to describe how digital platforms like social media transform organization strategies according to the exploration of Industry 5.0 as human centric paradigm to promote business activities resilience and build a social capital in a challenging context. Through a virtual ethnography case study in Cote d’Ivoire, a West Africa Country, observation, interviews and focus groups allowed to collect data from a convenience sample of business owners/managers, employees and clients in 5 start up or enterprises from January to May 2024. Findings underline digital platform marketing strategies adoption, challenges encountered and outcomes for organization stakeholders in term of resilient value creation, and sustainability and human well-being. As recommendation, a communication development approach based on binding communication, social media marketing and Industry 5.0 paradigm is a strategic approach for effective communication in this changing world according to a human centric perspective. This can allow to create business opportunities, reduce poverty, increase resilience, balance organization sustainability through intelligent marketing communication tools and social media platforms integrated human activities

An intelligent routing algorithm for energy prediction of 6G-powered wireless sensor networks

With the rapid development of the Internet and computers, large-scale network applications have become a research hotspot in the communication industry, engineering and other fields. Building a new wireless sensor network and intelligent communication transmission system can promote the further upgrading and improvement of the capability industry, which is also a subject that the current network academia and communication academia are trying to explore. Based on the above background environment, this paper proposes the research on energy prediction and intelligent routing algorithm of wireless sensor networks in the development of sixth generation (6G) networks. A node coverage and scheduling algorithm based on energy prediction is proposed for the overlap and non-uniformity of regions in network transmission. Secondly, the problem of energy efficient utilization in wireless sensor networks is solved, and the clustering algorithm is used to predict the use process. The working state model of network sensor is established, and the energy parameters are added to the actual prediction calculation as influencing factors. Finally, in the intelligent routing mechanism, clustering mechanism and particle swarm optimization algorithm are used to improve the path selection, so as to improve the fault tolerance of wireless network transmission in the face of large amounts of dynamic data. The research results show that the optimization and intelligent routing algorithm based on energy prediction for wireless sensor networks can prolong the service life cycle and ensure the network transmission efficiency and coverage in a long work cycle. It can ensure the energy supply of the sensor and prolong the service time through the balanced node scheduling.

A fuzzy model for content-centric routing in Zigbee-based wireless sensor networks (WSNs).

WSN is one of the most efficient technologies in intelligent communication and because of its advantages, this technology has been utilized in various applications. By using WSNs, different types of data can be collected and analyzed in wide environments. The high variety of applications and types of data available in this network can cause several challenges about heterogeneous data routing. This research, presents a Fuzzy Model for Content-Centric Routing (FMCCR) in WSN to solve these challenges. The performance of FMCCR is based on two basic steps: "topology control", and "data transmission through content-centric and fuzzy logic-based routing algorithm". In the first step of FMCCR, the network topology is constructed. In the second step of the proposed method, data transmission paths are determined based on network topology and content type, and data transmission is performed. The performance of FMCCR has been evaluated in a simulation environment and the results have been compared with previous algorithms. The results show that FMCCR reduce energy consumption and improve the traffic load distribution in the network in addition to increasing the network lifetime. According to the results, FMCCR can increase network lifetime at least 10.74% and at the same time, deliver at least 88.1% more packets through the network, compared to previous methods. These results, prove the efficiency of the proposed method for using in real-world scenarios.

The Prospect of Quantum Technologies in Space for Defence and Security

Quantum technologies will have enormous applications in space, especially in sensing and communication. Particularly, many current and future space assets are of dual-use character or specifically designed for military and intelligence purposes. This also applies to quantum technologies. In this contribution, we study possible space-born quantum technologies for defence and intelligence that have the greatest potential to exploit these technologies to the maximum and across the full spectrum of quantum technologies. Their utilisation will lead to joint networks of quantum sensing and quantum communications with other emerging technologies such as artificial intelligence and laser communication with deployment around the Earth. On the other side, space-based quantum technology design should reflect threats such as laser anti-satellite weapons in the case of larger conflicts.

The Impact of 6G-IoT Technologies on the Development of Agriculture 5.0: A Review

Throughout human history, agriculture has undergone a series of progressive transformations based on ever-evolving technologies in an effort to increase productivity and profitability. Over the years, farming methods have evolved significantly, progressing from Agriculture 1.0, which relied on primitive tools, to Agriculture 2.0, which incorporated machinery and advanced farming practices, and subsequently to Agriculture 3.0, which emphasized mechanization and employed intelligent machinery and technology to enhance productivity levels. To further automate and increase agricultural productivity while minimizing agricultural inputs and pollutants, a new approach to agricultural management based on the concepts of the fourth industrial revolution is being embraced gradually. This approach is referred to as “Agriculture 4.0” and is mainly implemented through the use of Internet of Things (IoT) technologies, enabling the remote control of sensors and actuators and the efficient collection and transfer of data. In addition, fueled by technologies such as robotics, artificial intelligence, quantum sensing, and four-dimensional communication, a new form of smart agriculture, called “Agriculture 5.0,” is now emerging. Agriculture 5.0 can exploit the growing 5G network infrastructure as a basis. However, only 6G-IoT networks will be able to offer the technological advances that will allow the full expansion of Agriculture 5.0, as can be inferred from the relevant scientific literature and research. In this article, we first introduce the scope of Agriculture 5.0 as well as the key features and technologies that will be leveraged in the much-anticipated 6G-IoT communication systems. We then highlight the importance and influence of these developing technologies in the further advancement of smart agriculture and conclude with a discussion of future challenges and opportunities.

A Multi-Objective Optimization for enhancing the efficiency of Service in Flying Ad-Hoc Network Environment

Flying Ad-hoc Network (FANET) is one among the emerging technology and it is used in the huge application of the intelligent communication system. FANETs are combined with multiple Unmanned Aerial Vehicles (UAVs) to control the complex environment. Due to high mobility in FANETs the computation overhead and computation delay of the network is greatly increased that reflects in the reduction of the performance of FANETs. So it becomes very essential to provide effective routing and optimization in FANETs to maintain the stable communication. For that purpose, in this paper Multi-Objective Hybrid Optimization for Quality of Service (QoS) Assisted Flying Ad-Hoc Network (MOHOQ-FANET) approach is proposed with the combination of Ant colony optimization (ACO) and particle swarm optimization (PSO). To achieve effective routing in FANETs, reliability of ad-hoc that depend on demand vector routing (RAODV). In order to perform initial shortest path selection in FANETs, ACO algorithm is utilized. The PSO optimization is applied in FANETs to achieve the best optimal solution between the flying nodes during the time of communication between them. The MOHOQ-FANET technique is implemented using NS2 as the platform. As well as being compared to earlier studies like CSPO-FANET and OSNP-FANET, the performance of the FANETs is assessed using metrics like ratio of packet delivery, host-to-host delay, routing overhead, and network throughput. The outcomes have illustrated, as compared to earlier systems, the proposed MOHOQ-FANET approach delivers high packet delivery ratio and throughput as well as reduced host-to-host delay and routing overhead.

INTELLIGENCE ANALYSIS THAT INFLUENCES ON CONFLICT MANAGEMENT IN THE DIGITAL ERA

This study analyzes intelligence influencing conflict management in the digital era. This research is descriptive-explorative. The research location at the PKL Center Jl. Benteng Pancasila City of Mojokerto. The population of 369 MSME actors with the Slovin formula of 0.01 was determined by 79 respondents. Data collection using a questionnaire. Data analysis using SmartPLS version 3.3.7. Test the hypothesis by comparing the T-Statistics and P-Values. The results of this study are: communication intelligence, creative intelligence, and emotional intelligence have a significant effect on conflict management, social intelligence, and strategic intelligence has no effect on conflict management, communication intelligence, creative intelligence, emotional intelligence, social intelligence, and strategic intelligence simultaneously influence conflict management. Research recommendation: Combining this intelligence can resolve conflicts effectively and efficiently and avoid further damage to relationships.

MUD enabled deep learning framework for anomaly detection in IoT integrated smart building

Nowadays, many Internet of Things (IoT) devices of different types are used in creating smart applications like smart cities, smart industries, smart environments, and the applications of industry-4.0. IoT devices are used for different purposes, such as security, remote monitoring, resource allocation, threats, ecosystems, and vulnerabilities. This paper proposed a deep learning algorithm-based solution to tighten the security level in the IoT-Smart environment network. The Intrusion Detection System (IDS) considered in this paper is Network IDS, which investigates the manufacturer usage description, digital twins, and deep learning-based user behavior information. IoT devices' communication and the users in smart buildings are automatically connected in the Intelligent Communication system. Since many devices and users are interconnected in smart buildings, the probability of cyber-attack is high. Thus, better security is needed in smart buildings and smart environments. It should focus on securing IoT devices, users, and their communication. Hence, this paper developed a deep learning-based anomaly detection framework to dynamically monitor the issues and problems with MUD profiles and detect the anomaly behavior. The Manufacturer Usage Description (MUD) profiles, dynamic user behavior, IoT devices' traffic data the pattern of abnormal/anomaly traffic at the device level is predicted while traffic occurs. The MUD-ML-based model is implemented in Python software, verifying the results.

Optically Transparent MIMO Antenna with Polarisation Diversity for Vehicular Communications

ABSTRACT A unique multiple-input-multiple-output (MIMO) adaptive intelligent antenna for vehicular communications is addressed in this article. It has a high degree of transparency that can be integrated with the windscreen for intelligent vehicular communications. The proposed diversity antenna has four monopole radiators oriented in orthogonal directions to obtain polarisation diversity. The optically transparent nature is realised using a soda-lime substratum of size 50 × 50 mm2 coated with Transparent Conductive Oxides (TCO). The Aluminium Zinc Oxide (AZO) is sputtered on top of a Fluorine Tin Oxide (FTO) to enhance the material’s conductivity with dual-conductive layer. The fabricated MIMO antenna has a bandwidth of 10 GHz and functions in the entire UWB range (2 to 12 GHz). By incorporating concentric circles into the ground, high confinement between nearly located antenna elements is achieved. The antenna has a peak gain of 2.9 dBi as measured. The Envelope Correlation Coefficient (ECC) of the antenna in the entire Ultra-wideband (UWB) region attributed to the TCO material shows a very low correlation among the antenna elements. Because of diversity gain of the proposed vehicular antenna is ˃ 9.8 dB, it can also operate with low transmission power. The findings indicate that the antenna is pertinent for current intelligent vehicles that require multiple communications without aesthetic hindrance.

Blockchain Applications in Sustainable Smart Cities

Sustainable smart cities aim to optimize projected complexities, costs, and environmental challenges accompanied by growing urbanization. The fundamental objectives of sustainable smart cities are to ingeniously utilize available resources and knowledge systems to provide excellent services and the finest quality of life to its citizens. The intelligent use of Information and Communication Technologies (ICT) plays a vital role in realizing smart cities. The purpose of this work is to investigate the role of blockchain technology (BCT) in sustainable smart city applications by providing a detailed study of blockchain applications in the food supply chain, tourism industry, smart healthcare system, intelligent transportation system, next-generation 5G and 6G communication, and smart energy management. Moreover, a statistical study regarding selected articles shows the significance of the underlying study. Finally, a summary of recent trends, challenges, and future research directions is presented for the BCT role in sustainable smart cities.

Double reconfigurable intelligent surface-assisted wireless communication system for energy efficiency improvement over weibull fading channels

Double reconfigurable intelligent surface-assisted wireless communication system for energy efficiency improvement over weibull fading channels

Design and application of an intelligent communication platform for aesthetics education for internationalization

Abstract With the rapid development of information technology, aesthetics education is changing, and the use of computer technology for teaching has become the new norm in the teaching field. In recent years, many intelligent platforms for aesthetics education have emerged at home and abroad, but most of them are only simple video courses, which can hardly meet the needs of aesthetics education. In order to design an international-oriented intelligent communication platform for aesthetics education, this paper builds an intelligent platform serving aesthetics education based on the relevant technologies of intelligent learning communication and completes performance tests after implementation. On the user side, the average memory consumption of the intelligent platform is 15.6 MB, the average memory occupation rate is only 15.34%, and the average network traffic consumed per operation step is only 7.56 MB. The CPU consumption of the platform is also relatively low. The highest occupation rate is 3.76%, the lowest is 0.81%, and the average is only 2.58%. For the server-side Web test, the average system response time of the intelligent platform is 0.72 seconds, which is a very fast response time. In the concurrency test, the platform still runs smoothly under the full concurrency of 100 concurrency numbers and can respond to most users’ requests within 1 second. The intelligent platform is fully capable of meeting the needs of teachers and students in aesthetics education. The international-oriented intelligent communication platform for aesthetics education designed in this paper can help cultivate students’ aesthetic perception and thinking ability, thus improving their aesthetic literacy in an all-around way.

Talkitt: toward a new instrument based on artificial intelligence for augmentative and alternative communication in children with down syndrome.

Individuals with Down syndrome (DS) often exhibit a severe speech impairment, with important consequences on language intelligibility. For these cases, the use of Augmentative Alternative Communication instruments, that increase an individual's communication abilities, becomes crucial. Talkitt is a mobile application created by Voiceitt Company, exploiting speech recognition technology and artificial intelligence models to translate in real-time unintelligible sounds into clear words, allowing individuals with language production impairment to verbally communicate in real-time. The study evaluated the usability and satisfaction related to the Talkitt application use, as well as effects on adapted behavior and communication, of participants with DS. A final number of 23 individuals with DS, aged 5.54 to 28.9 years, participated in this study and completed 6 months of training. The application was trained to consistently recognize at least 20 different unintelligible words (e.g., nouns and/or short phrases)/person. Results revealed good usability and high levels of satisfaction related to the application use. Moreover, we registered improvement in linguistic abilities, particularly naming. These results paves the road for a potential role of Talkitt application as a supportive and rehabilitative tool for DS.

Pesantren-Based Principal Leadership Symbolic Interactionism Perspective in Schools

This study aims to discover the symbolic interactionism perspective of teachers or subordinates towards the principal at SMA Nurul Jadid. To achieve the objectives of this study, researchers used a qualitative approach, with a type of phenomenological research. The subjects in this study were teachers and subordinates at Nurul Jadid High School. At the same time, data collection is done through interviews and observation. The study results show that the leadership behaviour of the principal at SMA Nurul Jadid leads to transformational leadership based on intelligent and breakthrough social communication. The process of symbolic interaction between the teacher or subordinates and the principal of a pesantren-based school is mediated by the values used to represent an object. The values that are built include; the value of integrity, the value of simplicity, and the value of dedication. These values occur based on the subordinate's meaning of the principal's behaviour, which creates a symbolic world at Nurul Jadid Paiton Probolinggo High School.

Application Prospect of Artificial Intelligence in Computer Network Technology

With the continuous development of artificial intelligence technology, its application prospects in computer network technology are gradually showing. In the introduction, the research points out the importance and prospects of artificial intelligence in computer networks, and then introduces the basic concepts and technologies of artificial intelligence in computer network technology from the aspects of machine learning technology, intelligent interaction technology and data analysis technology. In the application of enterprise network architecture, this study reveals the intelligent upgrading of network equipment such as routers and switches, as well as the way of using artificial intelligence in security defense and risk management. In terms of mobile Internet network technology, this study analyzes the deep integration of artificial intelligence and 5G mobile communication, as well as the improvement of network service quality and the artificial transformation of operation support technology. Finally, this paper draws the conclusion that artificial intelligence is becoming the strongest assistant in the field of computer network technology, and it is the direction of future network technology development.

Proficiency and Error of English Final Consonant Cluster Pronunciation Produced by Sundanese Students

This research aims to examine Sundanese students' proficiency and errors in performing final consonant clusters in English. The research used a qualitative approach. The participants in this research were 40 college students. Their mother tongue was Sundanese. The data were recordings, which were collected through a pronunciation test of the target clusters in a provided word list. A perceptual approach was applied to analyze the data recordings. The results of this research found that the Sundanese students were not satisfactory when performing consonant clusters in English. They were only at intermediate levels. Omissions were major errors made by the students. The Sundanese students typically omitted the last consonant for -CC and the middle consonant for -CCC and -CCCC. In addition, the Sundanese students' semester and their English grades affected the Sundanese students' proficiency. It seemed that the differences in clusters' phonological structure between English and Sundanese and unfamiliar sounds contributed to the errors. This research suggests that teachers perform explicit instruction to improve students' cluster proficiency and enhance students' phonetic knowledge of English clusters. Accurate pronunciation is an important factor affecting communication intelligibility.

Títul Research on Wireless Network Coverage for Transformation and Upgrading of Exhibition Management with Artificial Intelligence Technology

Abstract The rapid development of artificial intelligence and modern communication technology provides a powerful opportunity to realize the transformation, upgrading and high-quality development of exhibition management. To solve the optimal coverage problem of wireless network in the exhibition area, a new generation of artificial intelligence algorithm is introduced to propose a novel method for solving the network coverage problem based on Harris Hawk optimization (HHO) algorithm. From the perspective of maximizing coverage and minimizing coverage redundancy, the multi-objective coverage optimization problem of wireless network nodes is optimally extracted into a function and solved using the improved HHO (IHHO) algorithm. Through the simulation of the wireless network coverage in the exhibition area, the experimental results show that the comprehensive evaluation index score of the optimization algorithm reaches 98.03%, which is higher than the traditional particle swarm optimizer (PSO) and the standard HHO. The proposed IHHO algorithm can be effectively applied to the network coverage problem and has a greater advantage over the traditional optimization methods in terms of improving node coverage, and has great practicality.

Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges

New technological advancements in wireless networks have enlarged the number of connected devices. The unprecedented surge of data volume in wireless systems empowered by artificial intelligence (AI) opens up new horizons for providing ubiquitous data-driven intelligent services. Traditional cloud-centric machine learning (ML)-based services are implemented by centrally collecting datasets and training models. However, this conventional training technique encompasses two challenges: (i) high communication and energy cost and (ii) threatened data privacy. In this article, we introduce a comprehensive survey of the fundamentals and enabling technologies of federated learning (FL), a newly emerging technique coined to bring ML to the edge of wireless networks. Moreover, an extensive study is presented detailing various applications of FL in wireless networks and highlighting their challenges and limitations. The efficacy of FL is further explored with emerging prospective beyond fifth-generation (B5G) and sixth-generation (6G) communication systems. This survey aims to provide an overview of the state-of-the-art FL applications in key wireless technologies that will serve as a foundation to establish a firm understanding of the topic. Lastly, we offer a road forward for future research directions.

Series Editorial: Artificial Intelligence and Data Science for Communications

Welcome to the June issue of the Artificial Intelligence and Data Science for Communications Series of IEEE Communications Magazine. The Series Editors would like to introduce and welcome Dr. Yulin Shao and Prof. Jie Zhang, who recently joined our efforts as members of the editorial team for the Series.