In this article, we present a simulation tool for modeling a quasi-optical bench for material characterization. The model uses a Gaussian beam expansion and tracking analysis, together with a modal analysis to enable a comparison of the simulated reflection and transmission S-parameters to the ones measured with a 4-port vector network analyzer. A Thru-Reflect-Line calibration is performed to de-embed the simulated S-parameters of a dielectric slab located between two lens antennas, showing good agreement with the analytical slab model used for experimental permittivity extraction.

A long-range, compact, wideband Ultra High Frequency (UHF) radio frequency identification (RFID) tag is proposed. The design features a triangular patch, designed to achieve wideband impedance matching. The tag exhibit −10 dB bandwidth from 753 to 917 MHz with a substrate thickness of 1.575 mm. The overall size of the tag is 121 × 30 × 1.575 mm3. The gain and bandwidth for varying substrate thickness is investigated. Further, two parasitic strips are designed alongside the patch to operate the tag more effectively at Federal Communications Commission (FCC) band in simultaneous with European Telecommunications Standards Institute (ETSI) band with increased read range. With parasitic strips, the tag exhibits −10 dB bandwidth from 766.5 to 896.5 MHz and 905 to 943.6 MHz which covers the bandwidth requirements in Europe, Asia, and North America. A prototype of the proposed tag is fabricated and experimentally tested with the RFID Higgs 4 IC. The tag provides a read range of over 14 m in 865–870 MHz and 13 m in 902–928 MHz when the tag is operated in free space and a read range of over 10.2 m in 865–870 MHz range and 10.3 m in 902–928 MHz range when mounted on a metallic surface of size of 200 × 200 m2 . The performance parameters of the designed tag are also compared with some commercially available designs.

In this paper, a large, compact array antenna that can be expanded in the 2-D plane is proposed for near-field radio frequency identification applications. By the introduction of the fractal structure and corner joint method, the array is easy to expand in the 2-D plane. An antenna element can be divided into a dozen or so loops, and traveling wave distribution makes sure that every loop is excited in a time period. So that a strong and uniform magnetic field could be generated in a large area. As a proof of concept, array antennas with $1 \times 8$, $2 \times 4$, and $3 \times 3$ elements are designed, fabricated, and measured. The measured bandwidth of the antennas covers the entire Chinese standard. Reading distances of the proposed large array antennas achieved up to 57 mm. Results show that the proposed antenna could realize flexibility and extendibility in a large area with stable and uniform magnetic field distribution.

Digital twins are a new paradigm for our time, offering the possibility of interconnected virtual representations of the real world. The concept is very versatile and has been adopted by multiple communities of practice, policymakers, researchers, and innovators. A significant part of the digital twin paradigm is about interconnecting digital objects, many of which have previously not been combined. As a result, members of the newly forming digital twin community are often talking at cross-purposes, based on different starting points, assumptions, and cultural practices. These differences are due to the philosophical world-view adopted within specific communities. In this paper, we explore the philosophical context which underpins the digital twin concept. We offer the building blocks for a philosophical framework for digital twins, consisting of 21 principles that are intended to help facilitate their further development. Specifically, we argue that the philosophy of digital twins is fundamentally holistic and emergentist. We further argue that in order to enable emergent behaviors, digital twins should be designed to reconstruct the behavior of a physical twin by “dynamically assembling” multiple digital “components”. We also argue that digital twins naturally include aspects relating to the philosophy of artificial intelligence, including learning and exploitation of knowledge. We discuss the following four questions (i) What is the distinction between a model and a digital twin? (ii) What previously unseen results can we expect from a digital twin? (iii) How can emergent behaviours be predicted? (iv) How can we assess the existence and uniqueness of digital twin outputs?

This article establishes a data-driven modeling framework for lean hydrogen ($ {\mathrm{H}}_2 $)-air reaction rates for the Large Eddy Simulation (LES) of turbulent reactive flows. This is particularly challenging since $ {\mathrm{H}}_2 $ molecules diffuse much faster than heat, leading to large variations in burning rates, thermodiffusive instabilities at the subfilter scale, and complex turbulence-chemistry interactions. Our data-driven approach leverages a Convolutional Neural Network (CNN), trained to approximate filtered burning rates from emulated LES data. First, five different lean premixed turbulent $ {\mathrm{H}}_2 $-air flame Direct Numerical Simulations (DNSs) are computed each with a unique global equivalence ratio. Second, DNS snapshots are filtered and downsampled to emulate LES data. Third, a CNN is trained to approximate the filtered burning rates as a function of LES scalar quantities: progress variable, local equivalence ratio, and flame thickening due to filtering. Finally, the performances of the CNN model are assessed on test solutions never seen during training. The model retrieves burning rates with very high accuracy. It is also tested on two filter and downsampling parameters and two global equivalence ratios between those used during training. For these interpolation cases, the model approximates burning rates with low error even though the cases were not included in the training dataset. This a priori study shows that the proposed data-driven machine learning framework is able to address the challenge of modeling lean premixed $ {\mathrm{H}}_2 $-air burning rates. It paves the way for a new modeling paradigm for the simulation of carbon-free hydrogen combustion systems.

A compact 8-port eighth-mode substrate-integrated waveguide (EMSIW) multiple-input multiple-output (MIMO) antenna is presented in this paper. It consists of eight EMSIW cavities placed side by side sharing their open-ended edges which are separated by rectangular slots. High isolation (>22 dB) between the antenna elements over the entire operating band is obtained by the strategic placement of rectangular slots and vias. The open-ended region of EMSIW cavity resonator and the edges of the diagonal slots help in the excitation of TE110 mode at 5.5 GHz. The simulated bandwidth of MIMO antenna is 180 MHz, while the measured bandwidth is 220 MHz. The proposed MIMO antenna system has potential applications for sub-6 GHz communication systems.

A single-layer polarization converting metasurface (PCMS) with wideband is presented for polarization conversion and radar cross-section (RCS) reduction. The proposed PCMS is composed of metallic biconic shape resonator imprinted on a metal-backed F4BM dielectric substrate of relative permittivity 2.2 and loss tangent 0.001. The unit cell has a compact size of 0.16$\lambda_\mathrm{o} \times 0.16\lambda_\mathrm{o}$. A comprehensive parametric analysis, angular sensitivity study, bistatic and monostatic RCS analysis are conducted by illuminating the proposed PCMS using linearly polarized (LP) plane waves. The PCMS converts LP electromagnetic waves to their orthogonal polarization state in the frequency band of 8.7–24.8 GHz resulting in polarization conversion ratio over 90% with a fractional bandwidth of 96%. Additionally, the developed structure is applied in chessboard configuration, using phase cancellation techniques for RCS reduction, that achieve 10 dB RCS reduction across a wideband of 7.9–23.4 GHz. The unit cell and its rotated version has a cross-polarization reflection phase difference of (${180}\pm {37}{^\circ}$) in the operating band, which fulfill the criteria for RCS reduction. The chessboard configuration exhibits a scattering pattern with four strong lobes that deviates from the normal incident path because of the phase cancellation in normal direction. The experimental results are in good agreement with the simulated result. Applications for the developed structure include antenna design (gain enhancement and beam steering), target hiding, imaging, and microwave communications.

The experimental 7AD rotor blade is assessed for flutter stability in hover to identify the influence of aerodynamic contributions related to blade aerofoil, rotor inflow and wake periodicity on flutter onset. For the aeroelastic analyses, the multibody model is tightly coupled with an unsteady aerodynamic model based on Wagner’s function and related enhancements for the general motion of an aerofoil section considering heave and pitch. The mathematical setup of the approximated Wagner function in state space is extended for axial flow to include unsteady effects related to rotor inflow and wake periodicity. Since the aerodynamic model is based on indicial response functions, a separation of these contributions is possible and allows for the study of their impact on rotor blade flutter. The according flutter results are extracted in terms of frequency and damping behaviour for three test cases that differ in the unsteady aerodynamic model for circulation comprising blade aerofoil, rotor inflow and wake periodicity. As known for articulated rotor blades, also the 7AD blade exhibits a classical bending-torsion coupling. The lowest flutter onset is found for unsteady aerodynamics limited to blade aerofoil, whilst the cases with added rotor inflow and wake periodicity show both the same flutter onset at a 5% larger rotor speed. Here, the influence of rotor inflow plays the major role, since it increases the torsion damping within the critical flutter coupling. Added wake periodicity neither changes frequency nor damping and, hence, does not affect the aeroelastic coupling.

This paper presents a comprehensive analysis of interference events in automotive scenarios based on radar systems equipped with communication-assisted chirp sequence (CaCS). First, it examines the impact of interference on radar and communication functionalities in CaCS systems according to the orientation of the investigated nodes. For this purpose, a graph-based approach is employed with MATLAB simulations to illustrate the potential occurrence of interference on the graph for communication functionality compared with their counterparts on radar. Second, the paper delves into the impact of interference on the synchronization between two communicating CaCS nodes. It extends a previous study to match the frequency of current radar sensors, where chirp estimation, an adjusted version of the Schmidl & Cox algorithm, and correlation are adopted to synchronize the transmitter and receiver of two CaCS communicating nodes in the time-frequency plane. The proposed synchronization method is finally verified by measurements at ${79}\,\mathrm{GHz}$ with a system-on-chip, where the resulting correlation metric and mean square error are illustrated as validation factors.

Wearable pressure sensors with high sensitivity, fast response time, and low detection limit have great potential for blood pressure monitoring and early diagnosis of hypertension. This article introduces a piezoresistive pressure sensor based on carbon nanotubes (CNTs), polyaniline (PAni), and fabric (CNT/PAni/fabric) for health monitoring applications. This sensor is made by using two layers of linen fabric coated with CNT and PAni. These layers are placed on a polyester fabric substrate. One of the coated layers has a mesh structure, which increases the sensitivity of the sensor and lowers its detection limit. The CNT/PAni/fabric sensor has a high sensitivity of 2.035 kPa−1 at pressures from 0 to 0.2 kPa, a response time of 290 ms, and a detection limit of 1.5 Pa. These features make it suitable for measuring blood pressure. The results obtained by measuring blood pressure using the pulse transit time method on four people, compared with the values obtained using the digital sphygmomanometer, show a discrepancy ranging between 0.019% and 1.62%. Also, the average error and standard deviation for the sensor measurement in systolic and diastolic pressures are 0.56 ± 0.33 and 0.57 ± 0.46, respectively, which shows that measurement with this sensor can be an alternative to existing devices.

We present PCFTL (Probabilistic CounterFactual Temporal Logic), a new probabilistic temporal logic for the verification of Markov Decision Processes (MDP). PCFTL introduces operators for causal inference, allowing us to express interventional and counterfactual queries. Given a path formula ϕ, an interventional property is concerned with the satisfaction probability of ϕ if we apply a particular change I to the MDP (e.g., switching to a different policy); a counterfactual formula allows us to compute, given an observed MDP path τ, what the outcome of ϕ would have been had we applied I in the past and under the same random factors that led to observing τ. Our approach represents a departure from existing probabilistic temporal logics that do not support such counterfactual reasoning. From a syntactic viewpoint, we introduce a counterfactual operator that subsumes both interventional and counterfactual probabilities as well as the traditional probabilistic operator. This makes our logic strictly more expressive than PCTL⋆. The semantics of PCFTL rely on a structural causal model translation of the MDP, which provides a representation amenable to counterfactual inference. We evaluate PCFTL in the context of safe reinforcement learning using a benchmark of grid-world models.

In this paper, a novel polarization conversion metasurface (PCM) is proposed. Compared with the conventional receiver-transmitter metasurface units, two metallized via holes are set up to correct the current. It can achieve better polarization conversion from linear to circular and maintain a high reflectivity performance. A patch antenna with an L-probe feed is used as a feeder. The circularly polarized Fabry–Perot resonator antenna (CP-FPRA) consists of the PCM with a 5 × 5 array and a feeder. The measurements indicate a 3 dB axial ratio (AR) bandwidth of 8.6% (22.3–24.3 GHz). And it achieves a maximum gain of 14.2 dBic at 24 GHz, compared to the feed antenna has a gain enhancement of 5.5 dBi (from 8.7 dBi to 14.2 dBic). The proposed CP-FPRA has high gain, a wide AR, and a relatively low profile, providing ideas for subsequent antenna designs.

This invited, extended, paper compares and contrasts a number of different near-field (NF) to far-field (FF) transformation algorithms that can be used for the purpose of processing NF data acquired using multi-axis industrial robots. The merits and limitations of these various, commonly encountered algorithms are highlighted with comparison FF data presented across a frequency range spanning 3–15 GHz. Crucially, the paper explores the viability of using mixed mode acquisition geometries when performing antenna gain measurements where, prior to this work, several of the transforms yielded different transform gains, and electrical lengths. Here, we verify that at 8 GHz and above, where truncation effects were minimal, for a circa 30 dBi gain (at 8 GHz) test antenna the FF peaks were in agreement to better than ±0.02 dB, at 3σ irrespective of the acquisition geometry and transform algorithm used. In this invited, extended work, the existing simulation results are augmented with experimental results obtained from planar and spherical NF measurements of a pyramidal horn taken using a dual robotic antenna measurement system and a consistent distributed RF subsystem.

The Earth suffers from metabolic disorders. Disruptions in natural cycles, global warming, and species extinction lead to an indigestibility of being (Marder 2019), where the planet’s metabolism becomes increasingly dysfunctional, akin to the “clogged pores of existence” (Marder 2019). In his essay On Art as Planetary Metabolism, Marder proposes an intriguing remedy: art as a form of metabolism, capable of counteracting these global dysfunctions. In this work-based essay, we examine selected contemporary works from the fields of Eco Art, Bio Art, Bio Design, and Socially Engaged Art to explore how these, in the context of Marder’s theory, can metabolically counteract the dysfunctions of planet Earth. The starting point is the publication’s central question: “How can biotechnologies and biomaterials shape and sustain habitats in extreme and space environments?” We focus on planet Earth as an extreme environment based on the symptoms of the climate crisis. At the centre of the investigation is the thesis that art, as a field of experimentation, can unite scientific and sociological findings, envision alternative realities of life and stimulate sustainable social transformation processes. This gives rise to the following questions: How can artistic explorations of biomaterials and biotechnologies sustainably shape living spaces in extreme environments, such as planet Earth? What can art works teach us about global metabolism? How can they integrate past knowledge, react to the present and sensitise us to the future? Materially, aesthetically, technically and ethically. For the work-based essay, we have selected four works that are the subject of our respective research. Following Marder’s theory, we assume that the works contain metabolic aesthetic moments that can lead to a stimulation of the global metabolism. The following works will be analysed: Life (from the Protocells Triptych) (2022) by artist Shoshanah Dubiner; Internal Burial Suit (since 2008) by Jae Rhim Lee; Fermenting Futures (2022) by Anna Dumitriu and Alex May; and Return to Sender (2022) by Nest Collective. Following this sequence, we describe each work and connect analytical insights with theoretical perspectives to build upon Marder’s ideas. Our essay is positioned within the theoretical discourses from the humanities on post-anthropocentrism, new materialism, and ecocentrism. In response to the multiple crises of the Anthropocene, these discourses advocate for a decentred view of the human being, seeing it as an integral part of a connected environment. Matter is understood as vibrant, possessing ‘intrinsic vitality’, with particular emphasis on its self- organization and emergence (Witzgall 2014). Therefore, we place the following theoretical sources alongside our works: Donna Haraway’s work ‘Staying with the Trouble: Making Kin in the Chthulucene (2016), ‘Metamporphosis. Life has many forms. A Philosophy of Transformation’ (2020) by Emanuele Coccia and ‘Degrowth and the Arts’ (2022) by Daphne Dragona.