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Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications

Digital Communications and Networks 2023年第2期9卷 367-382页

作者： Qusay M.Salih Md Arafatur Rahman A.Taufiq Asyhari Muhammad Kamran Naeem Mohammad Patwary Ryan Alturki Mohammed Abdulaziz Ikram Faculty of Computing Universiti Malaysia Pahang26300GambangPahangMalaysia School of Engineering Computing and Mathematical SciencesUniversity of WolverhamptonUK Data Science Program Monash UniversityIndonesiaand Birmingham City UniversityB47XGUK Department of Information Science College of Computer and Information SystemsUmm Al-Qura UniversitySaudi Arabia Computer Science Department Al Jumoum University CollegeUmm Al-Qura UniversitySaudi Arabia

Cognitive Radio Networks(CRNs)have become a successful platform in recent years for a diverse range of future systems,in particularly,industrial internet of things(IIoT)*** order to provide an efficient connection among IIoT devices,CRNs enhance spectrum utilization by using licensed ***,the routing protocol in these networks is considered one of the main problems due to node mobility and time-variant channel ***,the channel selection for routing protocol is indispensable in CRNs to provide an adequate adaptation to the Primary User(PU)activity and create a robust routing *** study aims to construct a robust routing path by minimizing PU interference and routing delay to maximize throughput within the IIoT ***,a generic routing framework from a cross-layer perspective is investigated that intends to share the information resources by exploiting a recently proposed method,namely,Channel Availability ***,a novel cross-layer-oriented routing protocol is proposed by using a time-variant channel estimation *** protocol combines lower layer(Physical layer and Data Link layer)sensing that is derived from the channel estimation ***,it periodically updates and stores the routing table for optimal route ***,in order to achieve higher throughput and lower delay,a new routing metric is *** evaluate the performance of the proposed protocol,network simulations have been conducted and also compared to the widely used routing protocols,as a *** simulation results of different routing scenarios demonstrate that our proposed solution outperforms the existing protocols in terms of the standard network performance metrics involving packet delivery ratio(with an improved margin of around 5–20%approximately)under varying numbers of PUs and cognitive users in Mobile Cognitive Radio Networks(MCRNs).Moreover,the cross-layer routing protocol successfully achiev

关键词： Channel selection Cross-layer design Mobile cognitive radio networks Routing protocol IIoT applications

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Coupled PFAS Transport and Seepage Models to Evaluate Retardation due to Air-Water-Interface Adsorption

Coupled PFAS Transport and Seepage Models to Evaluate Retard...

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Geo-EnvironMeet 2025: Geoenvironmental Contamination and Waste Containment

作者： Alam, Md. Khorshed Farid, Arvin Computing Ph.D. Program Boise State Univ. BoiseID United States Dept. of Civil Engineering Boise State Univ. BoiseID United States

ISBN: (数字)9780784485699

The term Per- and polyfluoroalkyl substances (PFAS) refer to a class of manmade very stable chemicals popular for their ability to withstand heat and moisture. Hence, they are used in manufacturing a variety of goods and firefighting aqueous film-forming foams (AFFF). The discharge of these chemicals into the soil occurs when they are introduced into the environment through various means, such as being used in firefighting foams and similar products or when they get deposited in landfills. In addition to some levels of adsorption to a solid phase, PFAS have a propensity to adhere to the water-air interface, due to surfactant-like nature. This adsorption to air-water interfaces can complicate PFAS transportation through the vadose zone. The persistent properties and potential health risks linked to PFAS provide formidable complexity. Due to the widespread contamination of the environment caused by PFAS, scientists and environmental agencies are intensively studying the fate and flow of these chemicals within the soil environment. In this paper, two numerical models - groundwater seepage and PFAS transport - are developed to examine the impact of air-water interface adsorption on the transport of PFAS within soil's unsaturated (vadose) and saturated (groundwater) environments. For unsaturated soil and the coupled groundwater seepage and PFAS transport models, the degree of saturation is fed into the PFAS transport model from the seepage model;the results are shown through 2D snapshots at certain times that show the spatial distribution of PFAS concentration over time for the two inlet-outlet-combination scenarios. Highlighting the significant impact of air-water interface adsorption (caused by varying degrees of water saturation) on PFAS transport within the groundwater system, the coupled model emphasizes the essential importance of taking site-specific conditions and hydrogeological parameters into account when assessing the risks of PFAS contamination and devising

关键词： Seepage

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The Role of Social Media Influencer towards Fashion Brand Sales for Indonesia's Young Consumers 8

The Role of Social Media Influencer towards Fashion Brand Sa...

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8th International Conference on Business and Industrial Research, ICBIR 2023

作者： Andhini, Grasheli Kusuma Ramadhan, Ahmad Seiichi School of Computing and Creative Arts Bina Nusantara University Fashion Design Program Product Design Department Jakarta Indonesia International Business Program Bina Nusantara University Management Department Binus Business School Jakarta Indonesia

ISBN: (纸本)9798350399646

With the current ongoing pandemic in Indonesia where everything is forced to be online, consumers have started to forget brand names as there are no physical interaction. Social media becomes the main communication tool for Millennials to seek for social interactions that have been missing. This results in the boom of social media influencers (SMI) to represent brands when communicating to consumers, but how it would directly link to local brand sales is still ambiguous in the midst of fashion consumption disruption. The research looks into how Indonesian fashion brand could benefit from the rising SMIs with their contents towards leveraging leads. An exploratory descriptive research was done with multi method approach and non-probability sampling techniques combining online survey on 80 consumers, archival research on influencer, and interview on influencers. Today, SMIs are influential for local businesses to reach a wider market as the intermediary between brands and consumers. SMI indeed helps brands in achieving success but not a hundred percent it will improve brand sales instantly rather it is more about driving awareness. They induce awareness for brands that would eventually help in the creation of brand image and familiarity that lead to purchase intention and customer loyalty. © 2023 IEEE.

关键词： Sales

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Integrating Data-Driven Security, Model Checking, and Self-adaptation for IoT Systems Using BIP Components: A Conceptual Proposal Model 1st

Integrating Data-Driven Security, Model Checking, and Self-a...

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1st International Conference on Advances in computing Research, ACR’23

作者： Alsobeh, Anas Shatnawi, Amani Program School of Computing Southern Illinois University CarbondaleIL United States Faculty of Information Technology and Computer Science Yarmouk University Irbid Jordan

ISBN: (纸本)9783031337420

Efficiency and convenience have increased as a result of the Internet of Things’ (IoT) expanding adoption across several enterprises. Nevertheless, the dynamic nature of IoT devices severely hinders real-time security breach prevention. Model checking, self-adaptation, and the Behavior-Interaction-Priority (BIP) component model are combined into an application layer to increase data-driven security for IoT systems. An integrated approach is proposed in this paper as a conceptual model for Internet of Things (IoT) security. This approach may have the potential to significantly improve the identification and mitigation of security concerns, including bogus data, malware attacks, and secure system transactions. The framework model is comprised of four primary components: BIP-based Secure Data Collection and Storage (BIP-SDCS), BIP-based Data Analytics (BIP-DA), BIP-based Secure Threat Detection and Response (BIP-STDR), BIP-based Continuous Monitoring (BIP-CM). © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Model checking

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Convergence analysis of a Schrödinger problem with moving boundary

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Mathematics and Computers in Simulation 2025年 238卷 45-64页

作者： Alfaro Vigo, Daniel G. Gomes, Daniele C.R. do Carmo, Bruno A. Rincon, Mauro A. Institute of Computing Federal University of Rio de Janeiro Caixa Postal 68.530 RJ Rio de JaneiroCEP 21941-590 Brazil Graduate Program in Informatics Federal University of Rio de Janeiro Caixa Postal 68.530 RJ Rio de JaneiroCEP 21941-590 Brazil

In this article, we present the mathematical analysis of the convergence of the linearized Crank–Nicolson Galerkin method for a nonlinear Schrödinger problem related to a domain with a moving boundary. The convergence analysis of the numerical method is carried out for both semidiscrete and fully discrete problems. We establish an optimal error estimate in the L2-norm with order O(τ2+hs),2≤s≤r, where h is the finite element mesh size, τ is the time step, and r−1 represents the degree of the finite element polynomial basis. Numerical simulations are provided to confirm the consistency between theoretical and numerical results, validating the method and the order of convergence for different degrees p≥1 of the Lagrange polynomials and also for Hermite polynomials (degree p=3), which form the basis of the approximate solution. © 2025 International Association for Mathematics and Computers in Simulation (IMACS)

关键词： Convergence of numerical methods

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Multi-task Learning Graph Neural Networks for Cancer Prognosis Prediction with Genomic Data 46

Multi-task Learning Graph Neural Networks for Cancer Prognos...

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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Lin, Tsung-Wei Arriagada, Sofia Ormazabal Lin, Che Taiwan Taiwan International Graduate Program AIoT Ntu Taiwan Research Center for Information Technology Innovation Academia Sinica Taiwan Department of Electrical Engineering Ntu Taiwan Center for Advanced Computing and Imaging in Biomedicine Ntu Taiwan Smart Medicine and Health Informatics Program Ntu Taiwan

ISBN: (纸本)9798350371499

Providing robust prognosis predictions for cancers with limited data samples remains a challenge for precision oncology. In this study, we propose a novel approach that combines multi-task learning (MTL) and graph neural networks (GNNs) to address this issue. By representing gene-gene interactions as a graph network, our approach leverages multi-task learning to effectively capture the relationships of genes relevant to the oncogenesis and progression of breast, lung, and colon cancer. We demonstrate that our approach improves the cancer prognosis prediction for cancers with fewer samples, such as colon adenocarcinoma, by leveraging the shared gene-gene interactions across different cancer types, obtaining increases in the area under the precision-recall curve (AUPRC) of 24%. Our work contributes to the field of smart healthcare by demonstrating the potential of MTL and GNNs for enhancing cancer prognosis prediction, even with limited data samples. © 2024 IEEE.

关键词： Lung cancer

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Video Quality Enhancement Using Multi-Domain Spatio-Temporal Deformable Fusion

Video Quality Enhancement Using Multi-Domain Spatio-Temporal...

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IEEE Latin American Symposium on Circuits and Systems (LASCAS)

作者： Gilberto Kreisler Garibaldi da Silveira Júnior Bruno Zatt Daniel Palomino Guilherme Correa Video Technology Research Group - ViTech Graduate Program in Computing - UFPel Pelotas Brazil

ISBN: (数字)9798331522124

ISBN: (纸本)9798331522131

Lossy video compression introduces visual artifacts that degrade video quality, where deep neural networks (DNNs) are effective in enhancement. However, conventional DNN-based methods often focus on a single video compression standard, limiting their deployment in multiple cases. To overcome this issue, this study introduces a multi-domain video quality enhancement architecture based on the Spatio-Temporal Deformable Fusion (STDF) technique. This method enables the model to enhance videos compressed with multiple codecs, maintaining reliable performance across standards. After trained, the proposed architecture was tested with videos compressed by the High Efficiency Video Coding (HEVC) encoder, the Versatile Video Coding (VVC) encoder, the VP9 codec and the AOMedia Video 1 (AV1) codec. Results show an average Peak Signal-to-Noise Ratio (PSNR) improvement between 0.228 dB and 0.787 dB.

关键词： Training Visualization Codecs PSNR Artificial neural networks Video compression Quality assessment Video recording Standards High efficiency video coding

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Predicting high dengue incidence in municipalities of Brazil using path signatures

arXiv

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arXiv 2024年

作者： Villela, Daniel A.M. Program of Scientific Computing Oswaldo Cruz Foundation Rio de Janeiro Brazil

Predicting whether to expect a high incidence of infectious diseases is critical for health surveillance. In the epidemiology of dengue, environmental conditions can significantly impact the transmission of the virus. Utilizing epidemiological indicators alongside environmental variables can enhance predictions of dengue incidence risk. This study analyzed a dataset of weekly case numbers, temperature, and humidity across Brazilian municipalities to forecast the risk of high dengue incidence using data from 2014 to 2023. The framework involved constructing path signatures and applying lasso regression for binary outcomes. Sensitivity reached 75%, while specificity was extremely high, ranging from 75% to 100%. The best performance was observed with information gathered after 35 weeks of observations using data augmentation via embedding techniques. The use of path signatures effectively captures the stream of information given by epidemiological and climate variables that influence dengue transmission. This framework could be instrumental in optimizing resources to predict high dengue risk in municipalities in Brazil and other countries after learning these country patterns. © 2024, CC BY-NC-ND.

关键词： Prediction models

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A Coupled Two-Tier Mathematical Transmission Model to Explore Virulence Evolution in Vector-Borne Diseases

arXiv

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arXiv 2024年

作者： Villela, Daniel A.M. Program of Scientific Computing Oswaldo Cruz Foundation Rio de Janeiro Brazil

The emergence or adaptation of pathogens may lead to epidemics, highlighting the need for a thorough understanding of pathogen evolution. The tradeoff hypothesis suggests that virulence evolves to reach an optimal transmission intensity relative to the mortality caused by the disease. This study introduces a mathematical model that incorporates key factors such as recovery times and mortality rates, focusing on the diminishing effects of parasite growth on transmission, with a focus on vector-borne diseases. The analysis reveals conditions under which heightened virulence occurs in hosts, indicating that these factors can support vector-host transmission of a pathogen, even if the host-only component is insufficient for sustainable transmission. This insight helps explain the significant presence of pathogens with high fatality rates, such as those in vector-borne diseases. The findings underscore an elevated risk for future outbreaks involving such diseases. Enhanced surveillance of mortality rates and techniques to monitor pathogen evolution are vital to effectively control future epidemics. This study provides essential insights for epidemic preparedness and highlights the need for ongoing research into pathogen evolution. © 2024, CC BY-NC-ND.

关键词： Plant diseases

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Server Cloud Based Security Surveillance Systems: a Design Science Research 11

Server Cloud Based Security Surveillance Systems: a Design S...

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11th International Conference on Cyber and IT Service Management, CITSM 2023

作者： Nurenie, Alexander Ramadhan, Arief Abdurachman, Edi Trisetyarso, Agung Zarlis, Muhammad Bina Nusantara University Binus Graduate Program - Computer Science Computer Science Department Jakarta11480 Indonesia Telkom University School of Computing Bandung Indonesia

ISBN: (纸本)9798350305968

In this research, the author addresses the prevalent issues faced by users of cloud services, especially those using Peer-to-Peer (P2P) technology, such as connection losses, security concerns, and poor video quality. The study does not delve into the complex problems at the data center level but instead proposes a novel Design Science Research approach. This new method, tested with five clients in varied locations, utilizes port forwarding to establish a direct server-client connection, bypassing traditional P2P frameworks. The results show that this approach significantly improves quality over the P2P system. Feedback from clients before and after the experiment indicates a positive response to this new method. This research offers insights into overcoming P2P-related issues in cloud services and contributes to the development of cloud-based server science, presenting a cost-effective, independent alternative to data center-dependent P2P services, with plans for ongoing research in this area. © 2023 IEEE.

关键词： Cost effectiveness

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