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Enhancing Modulation Classification Through Lightweight Dyadic down-Sampling Schemes and CNN Layer Fusion
Get PDFpeer reviewedAutomatic Modulation Classification (AMC) plays a crucial role in dynamic spectrum management and interference avoidance. It is pertinent to both civilian applications, where it enhances bandwidth and link quality, and military applications, including ElectronicWarfare (EW). Furthermore, AMC is a critical component of advanced radio systems like Cognitive Radios (CR). Indeed, recognizing digital modulation schemes without prior knowledge is essential for the advancement of cognitive radios. The primary aim of this paper is to introduce, for the first time, an approach to Automatic Modulation Recognition (AMR) that combines dyadic down-sampling decomposition with an Artificial Intelligence (AI) architecture, utilizing the fusion of Convolutional Neural Network (CNN) layers. The proposed lightweight methodology enhances the modulation recognition
rate without imposing significant pre-processing constraints on the overall architecture as shown by a complexity study. This paper emphasizes the impact of dyadic down-sampling on IQbased signals in comparison to other classification methods and examines its implications for CNN-based modulation classification. The influence of various parameters is analyzed using AI hypermodels. Additionally, the modularity of the applied AI fusion architecture allows for the exploration of straightforward explainable AI (XAI) concepts, as the impact of each dyadic scale on the decision of classification is visible. For this analysis, the publicly accessible ”Dataset for the Machine-Learning Challenge [CSPB.ML.2018]” is used. In this paper, we report an average absolute increase of 6% in classification accuracy across all SNR levels in the database, with a peak improvement of 8.3% observed at an SNR of 4.5 dB
Response to letter to the editor from Y. Takefuji on “Beyond principal component analysis: Enhancing feature reduction in electronic noses through robust statistical methods”
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An Innovative Approach to Fabricate Wrinkled Silver-Based Nanoporous Materials for SERS Detection
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Timber selection for sustainable construction: A holistic approach to species assessment and decision support
No full textpeer reviewedThe evolving landscape of environmental and economic challenges in the construction sector underscores the need for innovative material solutions. Wood is increasingly considered a viable alternative, offering a potential path forward. With its renewable nature, carbon sequestration potential, and favourable mechanical properties for its relatively low weight, wood differentiates itself from conventional materials. However, environmental crises and evolving climate conditions threaten the long-term stability of wood resources, underscoring the need for proactive and diversified strategies in resource management. To address these challenges, this study presents TUP4C (Timber Utilisation Potential for Construction), a decision-support approach designed to assist multiple stakeholders in selecting suitable wood species for construction. The tool integrates economic, environmental, social and technical criteria within a holistic, multi-criteria decision-making framework. Its adaptable design allows for customisation to various stakeholder profiles, aligning with their priorities, targeted product categories, and strategic timeframes. In the preliminary phase of a project, the tool reveals diversification opportunities by considering new wood species aligned with a defined product and vision. An application in Wallonia (Belgium) demonstrates its ability to highlight lesser-known hardwoods while confirming spruce’s industrial predominance for structural and exterior joinery applications. By promoting the use of diversified wood species, TUP4C contributes to a more resilient and adaptive forestry-wood-construction sector, fostering sustainable resource management and strategic decision-making
Contribution to the knowledge of the Uzbek cuckoo wasps (Hymenoptera, Chrysididae) with the first checklist and descriptions of new species
No full textpeer reviewedAn annotated checklist of the Chrysididae from Uzbekistan is presented, including a revision of the bibliographical data and recently collected material. The known Uzbek cuckoo wasp fauna counts 201 species and four subspecies in 23 genera and two subfamilies. One genus and 62 species are recorded for the first time for the country and six species resulted undescribed: Chrysis perfunctoria Rosa & Halada, sp. nov. (rufitarsis group), C. strejceki Rosa & Halada, sp. nov. (leachii group), C. storozhenkoi Rosa, Fateryga & Proshchalykin, sp. nov. (maculicornis group), Hedychridium frontipunctum Rosa & Proshchalykin, sp. nov. (flos group), Philoctetes gulbahra Rosa & Halada, sp. nov., and Spintharina zheztyrnak Rosa & Halada, sp. nov. We resurrect Chrysis gertabi Radoszkowski, 1891, stat. resurr. from the previous synonymy with C. mutabilis, and propose a new synonym C. hyrcana Semenov-Tian-Shanskij, 1967, syn. nov. of C. gertabi Radoszkowski, 1891.
Mechanochemistry for the Synthesis of a Sustainable Phosphorus/Potassium Tannic Acid Flame-Retardant Additive and Its Application in Polypropylene
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Fully Recyclable Pluripotent Networks for 3D Printing Enabled by Dissociative Dynamic Bonds.
Get PDFpeer reviewedAdditive manufacturing (AM) has risen in popularity due to its ability to produce complex shapes in a material-efficient way. However, to produce objects with advanced properties, complex multimaterial strategies are often employed. This one-polymer-one-property paradigm significantly slows down the application of AM, and in particular of fused deposition modeling (FDM), for manufacturing of functional objects. In this study advantage of pluripotency in materials is taken, i.e., the ability to attain different properties from a single stock, to afford mechanically tunable 3D printed dynamic thermosets (moduli from 2 MPa - 3 GPa, 1500× increase, Stress at break from 2 to 70 MPa, 35× increase). To do so, FDM-compatible CO2-derived dissociative polymer networks are designed that undergo a dynamic reaction-induced phase-separation (DRIPS). This strategy enables the control of the size of the rigid phase with a simple post-printing thermal treatment, cascading in spatially patterned mechanical properties. This study showcases new directions for the 3D printing communities, with deep implications in soft robotics and compliant mechanics
Le catalan face aux défis du plurilinguisme : une étude de cas sur la Principauté d’Andorre
Get PDFCette présentation analysera la situation sociolinguistique singulière de la Principauté d’Andorre. Seul État au monde à avoir le catalan comme langue officielle, l’Andorre constitue un terrain d’observation privilégié des dynamiques plurilingues en Europe. La conférence abordera les enjeux liés à la cohabitation du catalan avec d’autres langues fortement présentes dans le pays, notamment l’espagnol, le français et le portugais. Elle mettra en lumière les politiques linguistiques mises en place pour préserver et promouvoir le catalan, tout en explorant les défis sociolinguistiques que pose cette diversité linguistique dans les sphères éducative, administrative et économique
