Communication Services Research Articles

Citizens’ Perceptions and Assessment of an Urban Mountainous Forest Restoration: Nature, History, and Changes

Background and objective: Most cities in South Korea have mountainous forests as hinterland green space in their centers, which are used as urban parks. This study was conducted to analyze citizens' perceptions of a mountainous forest restoration project being carried out in Jinju City.Methods: The research site is part of Bibongsan Mountain in Jinju City. Visitors' perceptions of the Bibongsan Restoration Project (BRP), carried out since 2015, were surveyed and analyzed regarding nature, history, and changes. The survey was conducted from August to October 2019, and the collected data were statistically analyzed.Results: The main socio-demographic changes were an increase in the proportion of men among visitors, aging, and an increase of unemployed people in the occupational distribution. The overall assessment of BRP implementation was positive. Visitor perceptions of the value, revival, and restoration of historical resources were more vital than in 2015 and had a strong positive correlation with each other. Visitors identified a high need for safety facilities for elderly visitors, improved wireless communication services, facilities for various recreational activities, outdoor learning facilities and programs for nature study, expanded parking lots, and improved transportation services.Conclusion: The urban mountainous forest restoration project is overall satisfactory and needs to be continued. The results showed that urban mountainous forests are not only recognized as spaces for walking and exercise for health but also recently as historical spaces expressing the unique or featured identity of the city, educational spaces for interest and understanding of nature, and recreational spaces that reflect local lifestyle changes. Thus, urban forests need to be restored in the context of local historical and cultural resources as well as natural resources. In addition, there is a need to be aware of various changes in the population, including aging and an increase in retirees.

Taas: Trust assessment as a service for secure communication of green edge-assisted UAV network

Taas: Trust assessment as a service for secure communication of green edge-assisted UAV network

Study of Consumer Behaviour Towards Reliance Jio

The main objective of this project is to study the awareness of Reliance Jio amongst the customers compared to other telecom service providers. The satisfaction of customers is very important and with various products and services offered by the company its customers seem to be meaningless if it‟s not beneficiary to the customer from their end, so the second objective of this research is to study the customer satisfaction level of customers towards Reliance Jio and its services. To achieve success in long run a company needs a thorough study of its SWOT analysis (Strength, Weakness, Opportunities, and Threats). So the third objective of this research is to find the market potential and market penetration of Reliance Jio products and services. Reliance JioInfocomm Limited (Commonly called RJIL) is an Indian Internet access (commonly called „Broadband‟) and telecommunications company headquartered in Mumbai India‟s largest private sector company, is the first telecom operator to hold pan India Unified License. Reliance Jio is setting up a pan India telecom infrastructure to provide fourth generation LTE TDD high speed wireless internet and mobile communication services which was then launched in June 2015. Reliance Jio was founded in 2010 by MukeshAmbani. Reliance Jio offers mobile telephony and wireless broadband. Parent company of Reliance Jio is Reliance Industries and its subsidiary is LYF. To study the objectives discussed two types of sources were used to collect the data: - Primary and Secondary data. Primary data is also called as „First-hand data‟ or „Raw data‟. The primary data primarily means the unfiltered raw data collected by the researcher in the research process. In this project for the primary data a sample of 40 people were surveyed.

The Concept of Difference in Architecture: Transpositions Between Insides and Outsides

Postmodernity unhorsed the subject as powerful creator of life, showing not only that it is not in direct correspondence with the world, but furthermore that it is not even in control of itself. In this context, philosophy introduced an understanding of the world based on the concept of difference. Specifically, structuralism acknowledged difference as a poetics of ambiguity in the service of communication, while poststructulalism proclaimed difference as the impossibility of meaning. In this paper, we critically interpret these approaches in reference to the criterion of interiority/exteriority. Difference under structuralism introduces meaning as totally inside constructed, although towards outside operating. The figurative internalization of the postmodern architecture presents exactly the disconnection of meaning-making processes from the social context and their orientation towards consumption’s external experience. In addition, under the poststructuralist conception of difference the meaning lies exclusively outside and the corresponding trends of architectural creation, while in a way approximating freedom, seem also to contribute to a cultural disempowerment of critical ways of life and thinking. In distance both from the subject’s restriction inside and its abandonment in the tragedy of the outside, we suggest a Bakhtinian conception of difference which allows a creative continuous motion between interiority and exteriority, by both decomposing and producing meaning, always within the conflictual reality. In this direction, architecture may call for a spatial ethos of justice, a carnival polyphonic space of open boundaries between insides and outsides, which, although retaining their identities, they do not construct impenetrable territories as, in a sense, they are always at the critical limit.

Cybercrimes in the Darknet and Their Detections: A Comprehensive Analysis and Future Directions

Although the Dark web was originally used for maintaining privacy-sensitive communication for business or intelligence services for defence, government and business organizations, fighting against censorship and blocked content, later, the advantage of technologies behind the Dark web were abused by criminals to conduct crimes which involve drug dealing to the contract of assassinations in a widespread manner. Since the communication remains secure and untraceable, criminals can easily use dark web service via The Onion Router (TOR), can hide their illegal motives and can conceal their criminal activities. This makes it very difficult to monitor and detect cybercrimes over the dark web. With the evolution of machine learning, natural language processing techniques, computational big data applications and hardware, there is a growing interest in exploiting dark web data to monitor and detect criminal activities. Due to the anonymity provided by the Dark Web, the rapid disappearance and the change of the uniform resource locators (URLs) of the resources, it is not as easy to crawl the Drak web and get the data as the usual surface web which limits the researchers and law enforcement agencies to analyse the data. Therefore, there is an urgent need to study the technology behind the Dark web, its widespread abuse, its impact on society and the existing systems, to identify the sources of drug deal or terrorism activities. In this research, we analysed the predominant darker sides of the world wide web (WWW), their volumes, their contents and their ratios. We have performed the analysis of the larger malicious or hidden activities that occupy the major portions of the Dark net; tools and techniques used to identify cybercrimes which happen inside the dark web. We applied a systematic literature review (SLR) approach on the resources where the actual dark net data have been used for research purposes in several areas. From this SLR, we identified the approaches (tools and algorithms) which have been applied to analyse the Dark net data, the key gaps as well as the key contributions of the existing works in the literature. In our study, we find the main challenges to crawl the dark web and collect forum data are: scalability of crawler, content selection trade off, and social obligation for TOR crawler and the limitations of techniques used in automatic sentiment analysis to understand criminals’ forums and thereby monitor the forums. From the comprehensive analysis of existing tools, our study summarizes the most tools. However the forum topics rapidly change as their sources changes; criminals inject noises to obfuscate the forum’s main topic and thus remain undetectable. Therefore supervised techniques fail to address the above challenges. Semi-supervised techniques would be an interesting research direction.

IoT Solutions for Smart Parking- Sigfox Technology

Sigfox technology has emerged as a competitive product in the communication service provider market for approximately a decade. Widely implemented for smart parking solutions across various European countries, it has now gained traction in Germany as well. The technology's successful track record and reputation in the market demonstrate its effectiveness and reliability in addressing the communication needs of IoT applications, particularly in the context of vehicle parking systems. This is noted in terms of a city like Berlin-Germany, for on which the study is conducted. The major challenge being on how to relate the parking techniques in a more user friendly, cost effective and less energy consumpmti0n mode where the questions had at the beginning of the paper, relatively at the end the answers are sought to it via Sigfox and its comparison with other related technologies like LoRA WAN and weightless. But more so future areas of research study is also pointed out on areas which are not clearly identified in this particular research area. This paper entails the pros, cons adaptive, emerging and existing technology study in terms of cloud, big data, Data analytics are all discussed in tandem to Sigfox.

LEVELS OF SOCIO- ECONOMIC DEVELOPMENT IN HINDOLI TEHSIL OF RAJASTHAN

Any state's social growth is characterized by the improvement of resource and human connections. The socioeconomic level of the state is determined by factors like regional development, education, health, access to clean water, transportation and communication, electricity, etc. As a result, social facilities serve as the benchmark for measuring and assessing regional growth. Studying the state of social infrastructure in a developing nation like India becomes vital to assess the rising prosperity and welfare work in that region or region. In terms of social work, Hindoli tehsil ranks behind other tehsils of Rajasthan. The extension of social services has been extremely slow in comparison to the rate of agricultural growth and employment opportunities in this area. Different areas of the tehsil have had varying rates of economic development in accordance with their geographical characteristics. The development of social infrastructures like educational institutions, health services, all weather roads, electrification, drinking water facilities, communication services, etc. is as a result conspicuously uneven. The research report under assessment makes recommendations for the correct, expansion of social facilities in the tehsil.

LEVELS OF SOCIO- ECONOMIC DEVELOPMENT IN HINDOLI TEHSIL OF RAJASTHAN

Any state's social growth is characterized by the improvement of resource and human connections. The socioeconomic level of the state is determined by factors like regional development, education, health, access to clean water, transportation and communication, electricity, etc. As a result, social facilities serve as the benchmark for measuring and assessing regional growth. Studying the state of social infrastructure in a developing nation like India becomes vital to assess the rising prosperity and welfare work in that region or region. In terms of social work, Hindoli tehsil ranks behind other tehsils of Rajasthan. The extension of social services has been extremely slow in comparison to the rate of agricultural growth and employment opportunities in this area. Different areas of the tehsil have had varying rates of economic development in accordance with their geographical characteristics. The development of social infrastructures like educational institutions, health services, all weather roads, electrification, drinking water facilities, communication services, etc. is as a result conspicuously uneven. The research report under assessment makes recommendations for the correct, expansion of social facilities in the tehsil.

How Do Healthcare Professionals Develop the Communication Process to Promote Patients' Health Literacy?

This study aimed to analyze the communication process of healthcare professionals for the promotion of health literacy. It is a qualitative study that utilized individual online interviews with 46 healthcare professionals working in Brazil. The thematic content analysis technique proposed by Bardin was employed, and Atlas Ti software assisted in the assessment and interpretation of the texts. Content categorization revealed 26 sub-themes, and the coding of these identified nine themes and three categories. The communication process in health literacy education was composed of a set of interdependent and interrelated variables termed emotions, professional preparedness, interprofessional collaboration, patient needs assessment, building rapport, family inclusion in the educational process, environmental aspects, strategies, and resources for teaching and learning. These data may support the analysis of health communication in healthcare services, the creation of data collection instruments, and the development of training programs to enhance skills within the context of the identified variables.

Dynamic Node Selection Approach for 6G Heterogeneous Cellular Networks (HCN) to Enhance QoS and Low Latency

A wireless multi-hop network is a group of nodes that can interact directly with one another or across longer distances by using other nodes as relay points and routers. 6G heterogeneous cellular network support several transmission modalities, such as single hop, multi-hop transmission and device-to-any device transmission. These transmission services can greatly increase 6G cellular network capacity, spectral efficiency, power efficiency, Quality of Service (QoS) and Ultra Reliable Low Latency Communication (URLLC). According to current research, Heterogeneous Cellular Networks (HCN) can benefit even more from the integration of demand-driven opportunistic networking into HCN. Devices can search look for the connections between nodes that are most efficient. in Proactive HCN connections by taking advantage of the URLLC acceptability of many mobile data services. Multiple Transmission modes necessitate node selection schemes that can determine the best node for each transmission. Previous proposals for node selection schemes have taken into account the introduction of D2X and HCN. Proactive HCN connections, however, cannot be incorporated into the selection process by current node selection schemes. By implementing outward the first node selection scheme that can incorporate Proactive HCN sharing information within 6G and beyond networks, this research work enhances the existing work. The analysis that was carried out shows the potential for Proactive HCN communications as well as the ability of the suggested node selection scheme to choose the best communication node to enhance QoS and Low Latency.

Research on the Construction Method of Real-time Scheduling Process and Bus Scheduling Table based on WorldFIP Fieldbus

The WorldFIP protocol is the third part of the European standard EN-50150. It is particularly suitable for use in distributed computer control systems. WorldFIP provides data transfer services for variable exchange, and in order to cope with the real-time requirements of the system during variable transfer, the WorldFIP protocol provides communication services based on periodic and non-periodic identification exchanges, in which periodic exchanges have the highest priority and are scheduled cyclically according to the bus scheduling table at runtime. execution at runtime according to the bus scheduling table. Therefore, when constructing the scheduling table, the respective schedulability can be determined at pre-run time. For acyclic variable exchanges, the situation is different as they have a lower priority level and perform variable exchanges according to a first-come-first-served strategy. In this paper, from the perspective of variable exchange, we study the communication mode of the WorldFIP protocol, the process of cyclic and acyclic variable exchange, introduce a method for constructing bus scheduling tables based on microcycles and macrocycles, and finally give specific examples to prove the rationality of this method.

Conformal wideband ingestible capsule MIMO antenna system for multi-channel communication in biotelemetry

This article presents the design of a compact conformal multiple-input-multiple-output (MIMO) capsule antenna aimed at enabling robust communication and high data rates over a broad frequency range spanning from 0.3 to 2.5 GHz. This range encompasses essential frequency bands such as medical implant communications services (MICS) (401–406 MHz), wireless medical telemetry services (WMTS) (1.4 GHz), and industrial, scientific, and medical (ISM) (0.433 GHz, 0.915 GHz, and 2.45 GHz) for wireless capsule biotelemetry. The size of the capsule is reduced to 17 mm × 7 mm (typically 26 mm × 11 mm) to ensure the safe passage of the capsule without being trapped inside the intestine. The proposed antenna (integrated with dummy electronics to build a fully encased capsule endoscope design) is placed inside homogeneous and heterogeneous phantoms in the simulation. The antenna prototype is fabricated, and performance metrics are measured by implanting it inside pork meat and phantom solution. The proposed MIMO antenna offers a wide impedance bandwidth of ∼2200 MHz, and the measured isolation between the antenna elements is > 20 dB. The proposed antenna is also tested for robustness (interaction between the electronic components and the endoscope’s antenna) and human safety using system considerations and realistic voxel models.

Impact of the Covid-19 pandemic on audiology service delivery: Observational study of the role of social media in patient communication.

The Covid-19 pandemic has highlighted an era in hearing health care that necessitates a comprehensive rethinking of audiology service delivery. There has been a significant increase in the number of individuals with hearing loss who seek information online. An estimated 430 million individuals worldwide suffer from hearing loss, including 11 million in the United Kingdom. The objective of this study was to identify National Health Service (NHS) audiology service social media posts and understand how they were used to communicate service changes within audiology departments at the onset of the Covid-19 pandemic. Facebook and Twitter posts relating to audiology were extracted over a six week period (March 23 to April 30 2020) from the United Kingdom. We manually filtered the posts to remove those not directly linked to NHS audiology service communication. The extracted data was then geospatially mapped, and themes of interest were identified via a manual review. We also calculated interactions (likes, shares, comments) per post to determine the posts' efficacy. A total of 981 Facebook and 291 Twitter posts were initially mined using our keywords, and following filtration, 174 posts related to NHS audiology change of service were included for analysis. The results were then analysed geographically, along with an assessment of the interactions and sentiment analysis within the included posts. NHS Trusts and Boards should consider incorporating and promoting social media to communicate service changes. Users would be notified of service modifications in real-time, and different modalities could be used (e.g. videos), resulting in a more efficient service.

Optimizing service encounters through mascot-like robot with a politeness strategy

Mascot-like service robots embody anthropomorphic features, fostering affinity, and cultural representation. It is unknown whether they have politeness strategies that are more effective compared to humanoid robots. Drawing on politeness, uncanny valley, and mind perception theories, this study investigates the interaction effect of service robot appearance types (humanoid and mascot-like) and politeness strategies on customers’ service encounter evaluation, as well as the psychological mechanisms and boundary conditions of this effect. The findings reveal the superiority of mascot-like robots over humanoid robots in positive politeness contexts; human identity threat mediated this effect. Sense of power plays a moderating role; specifically, mascot robots with positive politeness strategies are more appealing to customers with low sense of power. This research significantly contributes to our understanding of service robot appearance and communication within the framework of mind perception and politeness theories in human–robot interaction. Moreover, it offers valuable guidance for companies enhancing consumer experiences through service robots.

QoS prediction using EMD-BiLSTM for II-IoT-secure communication systems

Abstract To address the challenges of secure and reliable communication and system quality of service (QoS) prediction in intelligent production lines (IPL) in the Industrial Intelligent Internet of Things (II-IOT) environment, a redundant collaborative security model-based communication architecture is designed. First, the redundant collaborative security communication model is introduced to construct the network communication architecture of IPL, including the industrial-site mechanical floor, data awareness layer, and gateway and application layer. Then, to leverage the advantages of the empirical-mode decomposition (EMD) method and the bidirectional long short-term memory (BiLSTM) model in time-series data analysis and processing, an EMD-BiLSTM-based QoS prediction model is proposed that can synchronously achieve one-step and multi-step prediction of QoS attributes. The proposed model exhibits a prediction accuracy of up to 94.01% on the SourceForge dataset, with prediction, recall, and F1 values as high as 91.37, 90.60, and 90.99%, respectively. The proposed EMD-BiLSTM model can achieve better performance than the state-of-the-art QoS prediction models, indicating that the proposed model can be more effectively used to improve the reliable communication level of II-IoT.

Prevalence of anxiety, depression, and post-traumatic stress disorder among Omani children and adolescents diagnosed with cancer: a prospective cross-sectional study

BackgroundChildren and adolescents diagnosed with cancer often experience psychological distress, encompassing anxiety, depression, and post-traumatic stress disorder (PTSD). This study aimed to evaluate the prevalence of these conditions among Omani children and adolescents diagnosed with cancer, alongside identifying contributing factors.MethodsA prospective cross-sectional study was conducted from October 2021 to June 2023 among a cohort of Omani children and adolescents (6–18 years old) diagnosed with cancer at three primary cancer referral centres in Oman. Validated Arabic-language versions of the Screen for Child Anxiety Related Disorders, the Center for Epidemiologic Studies Depression Scale for Children, and the Impact of Event Scale-Revised instruments were used to assess symptoms of anxiety, depression, and PTSD, respectively. An initial assessment (T1) was undertaken within the first 3 months of diagnosis, followed by a second assessment (T2) 3–6 months later.ResultsOf 113 eligible participants, 101 agreed to participate in the study (response rate: 95.6%), with 92 (91.0%) completing both assessments and included in the final analysis. Prevalence rates of anxiety, depression, and PTSD decreased from 43.5%, 56.5%, and 32.6%, respectively, at T1, to 38.0%, 35.9%, and 23.9% at T2. All average scores were below diagnostic cut-off points, except for the depression score at T1. Anxiety and depression scores decreased significantly (p = 0.043 and 0.001, respectively) between T1 and T2, as did the overall prevalence of depression (p = 0.004). At T1, linear regression analysis showed significant correlations between anxiety scores and the child’s age and PTSD score (p < 0.05); these variables were also correlated with depression scores (p ≤ 0.001). At T2, significant correlations were observed between anxiety scores and the child’s age and PTSD scores (p < 0.001). At both T1 and T2, anxiety, depression, and PTSD scores remained significantly correlated (p < 0.001).ConclusionsOmani children and adolescents recently diagnosed with cancer exhibit a high prevalence of anxiety, depression, and PTSD over time. Age-appropriate communication, ongoing support, and mental health services are recommended to help this patient group cope with their diagnosis and manage their emotional wellbeing. There is a need for future research to determine the effectiveness of specific psychological interventions in reducing the frequency of these disorders.

Implement Standard UDS Diagnostics over can for Automotive Actuator ECU

Electronic control units (ECUs) are an integral part of modern vehicles, controlling everything from safety procedures and system diagnostics to engine optimization. These ECUs need to work flawlessly to keep the vehicle reliable and efficient. The aim of this project is to use Controller Area Network (CAN) and Unified Diagnostic Services (UDS) communication systems to diagnose ECUs in vehicles (specifically those that control the engine). The main goal of this project is to create a comprehensive diagnostic system specifically designed for vehicle ECUs with the aim of improving engine diagnostics and improving vehicle maintenance procedures. The project combines UDS and CAN, two communication methods widely used in the automotive industry, to achieve these goals and provide effective communication between diagnostic tools and ECUs.

Digital Transformation in Omani Higher Education: Assessing Student Adoption of Video Communication during the COVID-19 Pandemic

The COVID-19 pandemic has influenced many fields, such as communication, commerce, and education, and pushed business entities to adopt innovative technologies to continue their business operations. Students need to do the same, so it is essential to understand their acceptance of these technologies to make them more usable for students. This paper employs the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) to identify the factors that influenced students’ acceptance and use of different online communication services as the primary tool for learning during the COVID-19 pandemic. Six factors of UTAUT2 were used to measure the acceptance and use of video communication services at the Business College of the University of Technology and Applied Sciences. Two hundred students completed our online survey. The results demonstrated that social influence, facilitating conditions, hedonic motivation, and habit affect behavioral intention positively, while performance expectancy and effort expectancy have no effect on behavioral intention.

Digital Battle: A Three-Layer Distributed Simulation Architecture for Heterogeneous Robot System Collaboration

In this paper, we propose a three-layer distributed simulation network architecture, which consists of a distributed virtual simulation network, a perception and control subnetwork, and a cooperative communication service network. The simulation architecture runs on a distributed platform, which can provide unique virtual scenarios and multiple simulation services for the verification of basic perception, control, and planning algorithms of a single-robot system and can verify the distributed collaboration algorithms of heterogeneous multirobot systems. Further, we design simulation experimental scenarios for classic heterogeneous robotic systems such as unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). Through the analysis of experimental measurement data, we draw several important conclusions: firstly, the replication time characteristics and update frequency characteristics of entity synchronization in our system indicate that the replication time of entity synchronization in our system is relatively short, and the update frequency can meet the needs of multirobot collaboration and ensure the real-time use and accuracy of the system; secondly, we analyze the bandwidth usage of data frames in the whole session and observe that the server side occupies almost half of the data throughput during the whole session, which indicates that the allocation and utilization of data transmission in our system is reasonable; and finally, we construct a bandwidth estimation surface model to estimate the bandwidth requirements of the current model when scaling the server-side scale and synchronization-state scale, which provides an important reference for better planning and optimizing of the resource allocation and performance of the system. Based on this distributed simulation framework, future research will improve the key technical details, including further refining the coupling object dynamic model update method to support the simulation theory of the coupling relationship between system objects, studying the impact of spatiotemporal consistency of distributed systems on multirobot control and decision making, and in-depth research on the impact of collaborative frameworks combined with multirobot systems for specific tasks.

Site Diversity Mitigation Technique for Satellite Services for Ku and Ka-band in Tropical Region

The demand for satellite communication has increased which led to spectral congestion. Recently, the satellite services use Ku and Ka-band as additional spectrum for satellite communication services. Ku and Ka-band are categorized as high frequency range which is around 12 to 14 GHz and 20 to 30 GHz respectively. However, the higher frequency will affect the quality of services and lead to signal impairment. This is mainly caused by the atmosphere effect which is oxygen, liquid water, and precipitation. But among the list, rain causes most signal fading due to the scattering and depolarization. The aim of this research is to study the site diversity as mitigation techniques operating at Ku and Ka-band for enhancing the gain of the signal and calculating diversity gain. There are modelling of diversity gain that has been proposed by previous researchers namely Hodge, Panagopolous, ITU-R, X.Yeo and Semire models which were validated in different climate regions respectively. By using all previous modelling of diversity gain, it will also compare with the measured local diversity gain. Suitable modelling that can be used in this tropical region has been proposed by improving the mathematical model that will be suitable in the tropical regions. This is important for encouraging the finding of new theories for the future broadcasting systems to decrease the power loss during the rain fade.