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Filtenna-Oriented Mode Control and Resonance Fusion in Square SIW Cavities for 5G Millimeter-Wave Applications

This paper presents a single-layer filtering antenna (filtenna) based on a compact square substrate-integrated waveguide (SIW) cavity for millimeter-wave (mmWave) applications. The cavity operates in the fundamental TE110 mode to enable beam scanning, while a central shorting via introduces the TE210 mode, broadening the bandwidth. A radiating slot, placed at high-intensity regions of both modes,

Mitigating Sea Surface Fading with D-MIMO : Experimental Validation

The performance of wireless communications at sea are often limited by fading caused by reflections at the sea surface. The reliability could potentially be improved by employing multiple antennas. We have conducted massive multiple-input multiple-output (MIMO) measurements at sea in order to evaluate the performance. The measurements were conducted at 5.6 GHz with 64 dual-polarized antennas, whic

A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization

Bayesian optimization is a widely used method for optimizing expensive black-box functions, with Expected Improvement being one of the most commonly used acquisition functions. In contrast, information-theoretic acquisition functions aim to reduce uncertainty about the function’s optimum and are often considered fundamentally distinct from EI. In this work, we challenge this prevailing perspective

Wideband Metasurface-Based Fabry–Perot Resonant Cavity Antenna With Polarization Reconfigurable Controlled by Diodes and Resistors

A broadband high gain metasurface-based Fabry–Perot resonant cavity antenna (FPRCA) for polarization reconfigurable is proposed in this article. The antenna features a microstrip source antenna with a single-layer 2 × 2 circular patch metasurface, a ground plane, and a double-layer partially reflective surface (PRS), along with four resistors and two diodes. Characteristic mode analysis (CMA) is p

Impact of non-orthogonal training on performance of downlink base station cooperative transmission

Base station (BS) cooperative transmission is a promising technique to improve spectral efficiency of cellular systems, using which the channels become asymmetric in average gain. In this paper, we study the impact of the asymmetric channel gains on the performance of coherent cooperative transmission systems, when minimum mean square error (MMSE) and least square (LS) channel estimators are appli

On user effects in MIMO handset antennas designed using characteristic modes

The Theory of Characteristic Modes (TCM) has been applied to design high-performance MIMO antennas for mobile terminals. However, existing studies focus on free-space (FS) performance, which is mostly irrelevant in real usage. This paper investigates the performances of two TCM-based MIMO terminal antenna designs in 7 realistic user scenarios for frequencies below 1 GHz. Full-wave simulation resul

Generation of national political priority for surgery: a qualitative case study of three low-income and middle-income countries.

Surgical conditions exert a major health burden in low-income and middle-income countries (LMICs), yet surgery remains a low priority on national health agendas. Little is known about the national factors that influence whether surgery is prioritised in LMICs. We investigated factors that could facilitate or prevent surgery from being a health priority in three LMICs.

Finite element analysis for simplified thermal dose planning in interstitial laser thermotherapy

The objective was to investigate if diffusing laser fibres can be modelled as conductive heat sources without miscalculating coagulated volumes, and if finite element analysis, disregarding light transport, may be used for three dimensional (3D) treatment planning in interstitial laser thermotherapy (ILT). Temperature distributions and coagulated volumes with a diffusing laser fibre, as compared t

Massive MIMO: Prototyping, Proof-of-Concept and Implementation

Wireless communication is evolving rapidly with ever more connected devicesand significantly increasing data rates. Since the invention of the smartphoneand the mass introduction of mobile apps, users demand more andmore traffic to stream music, watch high-definition video or to simply browsethe internet. This tremendous growth is more pronounced by the introductionof the Internet of Things (IoT)

Quality Requirements for Code : On the Untapped Potential in Maintainability Specifications

Quality requirements are critical for successful software engineering, with maintainability being a key internal quality. Despite significant attention in software metrics research, maintainability has attracted surprisingly little focus in the Requirements Engineering (RE) community. This position paper proposes a synergistic approach, combining code-oriented research with RE expertise, to create

Property Probes: Live Exploration of Source Code Analysis

Source code analysis is ubiquitous in the development of software tools, for example in compilers to detect compile-time errors and possible optimizations, inIDEs to provide interactive coding assistance, and in stand-alone analysis tools todetect bugs. There are several techniques that have been developed to help theanalysis developer, including one called Reference Attribute Grammars (RAGs).With

Q-factor Bounds for Microstrip Patch Antennas

Antenna bounds are a useful tool in assessing the feasibility or performance of an antenna design. Microstrip patch antennas are often limited by their relatively narrow bandwidth, and therefore Q-factor is an important design parameter, as it is related to the inverse of the fractional bandwidth. This article presents the first tight lower Q-factor bounds on microstrip patch antennas supported by

CO2 Reconstruction from Fossil Leaves

This article provides a review of the application of stomatal frequency analysis to fossil leaves in the reconstruction of past atmospheric CO2 concentrations. It presents the physiological basis of the method, an overview of its application to leaves of Quaternary age, and an assessment of its potential and limitations. It also includes a description of the successive stages in a stomatal frequen

Building Gaze-aware Programming Environments

Programming is a cognitively demanding exercise. Artificial Intelligence (AI) as a disruptive technology is redefining the practice of programming and transforming software engineering. As AI is evolving to a multimodal version that accommo- dates not only texts but also speech, images, and more, we see an opportunity to design eye-tracking based assistance to support programmers. Since AI has tak

Uncertainty estimation for adaptable and reliable robotic vision

Throughout the past decade, neural network-based vision has been increasingly integrated into robots. It is well-known, however, that neural networks can be unreliable, especially when faced with inputs that differ from their training data. With the goal of making neural network-based vision more reliable for robotic applications, this thesis explores uncertainty estimation, and adaptability.Adapt

Parametric actors networks to efficient hardware : CORDIC-based QR decomposition

In this work, we present an actors-to-hardware design flow where applications are described as networks of actors and compiled to hardware. Specifically, we use the CAL actor language to describe these applications. CAL has previously been used to specify applications such as the MPEG-RVC decoder and is well suited for compilation to hardware. A key limitation of CAL is that the applications descr

Navigating the Future — Machine Learning for Wireless Sensing and Localization

Cellular-based localization and sensing pave the way for a variety ofapplications across various domains, ranging from autonomous driv-ing to emergency care and intelligent traffic management. Althoughtraditional methods have been effective, they still face challenges such as therequirement for highly accurate models and the inherent complexity of thealgorithms. This thesis explores the potential

Enhancing Iterative Algorithms with Spatial Coupling

Iterative algorithms are becoming more common in modern systems. This ranges from algorithms for communicationsystems receivers, machine learning, group testing, and various computation problems. The success of thesealgorithms lies in the ability to simplify computation by breaking down the system into components and exchangingmessages on graphs. The graph has the components as nodes and connectio

Trade-Offs in Decentralized Multi-Antenna Architectures : Sparse Combining Modules for WAX Decomposition

With the increase in the number of antennas at base stations (BSs), centralized multi-antenna architectures have encountered scalability problems from excessive interconnection bandwidth to the central processing unit (CPU), as well as increased processing complexity. Thus, research efforts have been directed towards finding decentralized receiver architectures where a part of the processing is pe

Robust Simultaneous Stabilization Via Minimax Adaptive Control

The paper explores the usage of minimax adaptive controllers to guarantee finite L2 -gain simultaneous stabilization of linear time-invariant (LTI) plants. It is shown that a minimax adaptive controller simultaneously stabilizes any two multiple-input multiple-output (MIMO) P-stabilizable LTI plants when no LTI controller can achieve that, and the worst attained L2 -gain bound for the transient dy