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This paper introduces a low-complexity ultra-wideband quasi-deterministic ray tracing (QD-RT) method for statistical analysis of wireless channels. This model uses a statistical distribution to model the bistatic radar-cross-section (RCS) of irregular objects such as cars and pedestrians, instead of a deterministic propagation model, i.e., applying the exact values of bistatic RCSs. It is shown th

Configuring reconfigurable intelligent surfaces (RISs) based on a practical RIS model is a fundamental problem in RIS-assisted wireless transmission. In this work, we propose a concept named optimal phasor (OP), a latent quantity that can considerably help the practical model-based RIS configuration. Under such a concept, we can design versatile algorithms that are applicable to different RIS mode

Reliable maritime communication systems are essential for both safety-critical operations and emerging applications such as autonomous shipping, remote pilotage, and drone-assisted search and rescue. These scenarios demand ultra-reliable, low-latency wireless connectivity, where communication outages are unacceptable. Equally important is the need for dependable positioning systems. In situations

Before curation, there is collection. Before visitors engage with objects in an exhibition, collection managers engage with the objects and, in some cases, also the donors. It makes sense that especially when difficult pasts are involved, collection managers have affective encounters with the materiality before visitors do. So why has the affective turn focused mainly on engaging visitors’ emotion

Children born to occupying soldiers during or after conflicts are in many ways an extraordinarily vulnerable population. These so-called children born of war (CBOW) commonly inherit the stigma of transgression and foreignness from their respective parents and face discrimination in post-conflict societies. Their specific vulnerabilities, though, emerge from multiple overlapping factors: the needs

Vehicular networks allow for a variety of applications ranging from platooning to fully automated driving. Most of such applications require the vehicles that constitute the networks to be aware of their relative or absolute position as well as the position of nearby vehicles. To this end, multiple positioning methods can be employed, among such methods are Global Positioning Systems or methods th

In this paper, a novel three-dimensional (3D) massive multiple-input multiple-output (MIMO) millimeter wave (mmWave) geometry-based stochastic model (GBSM) is proposed for sixth-generation (6G) vehicle-to-vehicle (V2V) channels. In the proposed GBSM, clusters in the environment are divided into static clusters and dynamic clusters. Furthermore, the time-variant acceleration together with the integ

This article aims at providing insights for a comprehensive understanding of THz propagation channels. Specifically, we discuss essential THz channel characteristics to be well understood for the success of THz communications. The methodology of establishing realistic and 6G-compliant THz channel models based on measurements is then elaborated on, followed by a discussion on existing THz channel m

This paper proposes a belief propagation (BP)-based algorithm for sequential detection and estimation of multipath component (MPC) parameters based on radio signals. Under dynamic channel conditions with moving transmitter/receiver, the number of MPCs, the MPC dispersion parameters, and the number of false alarm contributions are unknown and time-varying. We develop a Bayesian model for sequential

The exact spatial and temporal behaviour of rapid climate shifts during the Last Glacial– Interglacial Transition are still not entirely understood. In order to investigate these events, it is necessary to have detailed palaeoenvironmental reconstructions at geographically spread study sites combined with reliable correlations between them. Tephrochronology, i.e., using volcanic ash deposits in ge

Several researchers have proposed creating after-the-fact structure among software artifacts using trace recovery based on Information Retrieval (IR). Due to significant variation points in previous studies, results are not easily aggregated. Aim. We aim at an overview picture of the outcome of previous evaluations. Method. Based on a systematic mapping study, we perform a synthesis of published r

In National Audit Offices (NAOs), impact is often used as a measure of success, serving to build legitimacy. When aiming to maximize impact, the media tends to play an important role. Based on empirical observations from the Swedish NAO, this paper explores how the role of the media for a NAO can be understood, and how this may affect independence. It is suggested that impact can be understood ei

This paper describes a knowledge integration framework for robotics, whose goal is to represent, store, adapt, and distribute knowledge across engineering platforms. The architecture abstracts the components as data sources, where data are available in the AutomationML data exchange format. AutomationML is an on-going standard initiative that aims at unifying data representation and APIs used by e