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Din sökning på "kognition" gav 1819 sökträffar

Welcome to the Fifth International Workshop on Requirements Engineering for Well-Being, Aging, and Health

Welcome to the fifth edition of the REWBAH workshop, a satellite event of the IEEE International Requirements Engineering Conference (RE). The REWBAH workshop fosters discussion related to requirements engineering resulting from the need to build software systems that not only support healthcare, but also promote well-being, encourage patients and the population in general to live according to hea

Hybrid Precoder Design for Angle-of-Departure Estimation with Limited-Resolution Phase Shifters

Hybrid analog-digital beamforming stands out as a key enabler for future communication systems with a massive number of antennas. In this paper, we investigate the hybrid precoder design problem for angle-of-departure (AoD) estimation, where we take into account the practical constraint on the limited resolution of phase shifters. Our goal is to design a radio-frequency (RF) precoder and a base-ba

Experimental analysis of physical interacting objects of a building at mmWave frequencies

Understanding the evolution of multipath components (MPCs) in real radio channels is crucial to enhancing channel modeling and multipath-assisted positioning. This paper provides an experimental analysis of the behavior of MPCs originating from a standard building facade at millimeter wave (mmWave) frequencies. Utilizing a high-resolution channel parameter estimation method alongside a joint clust

The Concordance Index decomposition : A measure for a deeper understanding of survival prediction models

The Concordance Index (C-index) is a commonly used metric in Survival Analysis for evaluating the performance of a prediction model. In this paper, we propose a decomposition of the C-index into a weighted harmonic mean of two quantities: one for ranking observed events versus other observed events, and the other for ranking observed events versus censored cases. This decomposition enables a finer

Stochastic Geometry Analysis of a New GSCM with Dual Visibility Regions

The geometry-based stochastic channel models (GSCM), which can describe realistic channel impulse responses, often rely on the existence of both local and far scatterers. However, their visibility from both the base station (BS) and mobile station (MS) depends on their relative heights and positions. For example, the condition of visibility of a scatterer from the perspective of a BS is different

Software analytics for software engineering: A tertiary review

Software analytics (SA) is frequently proposed as a tool to support practitioners in software engineering (SE) tasks. We have observed that several secondary studies on SA have been published. Some of these studies have overlapping aims and some have even been published in the same calendar year. This presents an opportunity to analyze the congruence or divergence of the conclusions in these studi

Characterization of Non-Wide-Sense Stationarity for Distributed Massive MIMO Channels

Distributed massive multiple-input multiple-output (MIMO) communication is envisioned as one of the key paradigms of future MIMO systems. To investigate non-wide-sense stationarities (non-WSSs) in distributed massive MIMO channels, this paper first presents an indoor channel measurement campaign, where distributed arrays with a total of 128 elements were implemented. Then relying on the correlatio

The neuroethology of ant navigation

Unlike any other group of animals, all ant species are social: individual ants share the food they gather with their nestmates and as a consequence they must repeatedly leave their nest to find food and then return home with it. These back-and-forth foraging trips have been studied for about a century and much of our growing understanding of the strategies underlying animal navigation has come fro

The function of North Germanic word accents

Since 2010, it has become increasingly clear that North Germanic word accents have a strong predictive function in speech processing. Recent findings on the semantic effects of word accents might appear contradictory to this interpretation. However, we show that the predictive perspective is crucial for understanding these semantic effects.

Making the Flow Glow - Robot Perception under Severe Lighting Conditions using Normalizing Flow Gradients

Modern robotic perception is highly dependent on neural networks.It is well known that neural network-based perception can be unreliable in real-world deployment,especially in difficult imaging conditions.Out-of-distribution detection is commonly proposed as a solution for ensuring reliability in real-world deployment.Previous work has shown that normalizing flow models can be used for out-of-dist

A Belief Propagation Algorithm for Multipath-based SLAM with Multiple Map Features: A mmWave MIMO Application

In this paper, we present a multipath-based simultaneous localization and mapping (SLAM) algorithm that continuously adapts mulitiple map feature (MF) models describing specularly reflected multipath components (MPCs) from flat surfaces and point-scattered MPCs, respectively. We develop a Bayesian model for sequential detection and estimation of interacting MF model parameters, MF states and mobil

Distributed MIMO Measurements for Integrated Communication and Sensing in an Industrial Environment

Many concepts for future generations of wireless communication systems use coherent processing of signals from many distributed antennas. The aim is to improve communication reliability, capacity, and energy efficiency and provide possibilities for new applications through integrated communication and sensing. The large bandwidths available in the higher bands have inspired much work regarding sen

Neural mechanisms of episodic memory formation revealed by EEG frequency tagging

Episodic memory formation entails the integration of diverse elements such as people, places, and objects. This process, known as binding, creates a unified memory trace that the brain maintains and retrieves as a coherent representation of the episode. Despite extensive research, the precise neural mechanisms underlying this binding process are still not fully understood. We hypothesized that the

A Fast Rotating-Mirror Sounder for Dynamic Millimeter-Wave Channel Characterization

A deep understanding of double-directional wireless channels is imperative for wireless system design. This necessitates the development of precise channel models through channel sounding. Given the dynamic nature of wireless channels, a short measurement time is highly desirable. In this paper, we present and validate a dual-polarized millimeter-wave channel sounder that uses a rotating mirror me

Associative inference is influenced by schema congruency

The presence of overlapping elements in distinct events promotes the formation of associative inferences across event boundaries, thereby shaping how new information is integrated with pre-existing knowledge. This study investigates the influence of schema congruency on mnemonic processes involved in such associative inferences.The present study employed EEG recordings of brain activity to assess

Event segmentation in the audio description of films : A case study

To make the content of moving images and audio-visual media available to a visually impaired audience, a sighted interpreter can provide audio description (AD). AD is a verbal description of visual events, aiming to increase the accessibility of visual information and to provide a visually impaired audience with a richer and more detailed understanding and experience of, for instance, films. To ac

Power Allocation for Uplink Communications of Massive Cellular-Connected UAVs

Cellular-connected unmanned aerial vehicle (UAV) has attracted a surge of research interest in both academia and industry. To support aerial user equipment (UEs) in the existing cellular networks, one promising approach is to assign a portion of the system bandwidth exclusively to the UAV-UEs. This is especially favorable for use cases where a large number of UAV-UEs are exploited, e.g., for packa

Flexible Density-based Multipath Component Clustering Utilizing Ground Truth Pose

Accurate statistical characterization of electromagnetic propagation is necessary for the design and deployment of radio systems. State-of-the-art channel models such as the Enhanced COST 2100 Channel Model utilize the concept of clusters of multipath components, and characterize channels by their inter- and intra-cluster statistics. Automatic clustering algorithms have been proposed in literature

Effects of leg fatigue due to exhaustive stair climbing on gait biomechanics while walking up a 10˚ incline – implications for evacuation and work safety

This biomechanics study explored stride length (SL), duration (SDN), and gait ground reaction forces (GRFspeak), required coefficient of friction (RCOFpeak), joint angle (anglepeak, anglemin), angular velocities (angvelx peak), angular accelerations (angaccx peak), muscle electromyography (EMG) during the dominant leg stance phase (SP) following an exhaustive stair ascent for evacuation. Data were