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Your search for "kognition" yielded 1601 hits

The formation of transiting circumplanetary debris discs from the disruption of satellite systems during planet-planet scattering

Several stars show deep transits consistent with discs of roughly seen at moderate inclinations, likely surrounding planets on eccentric orbits. We show that this configuration arises naturally as a result of planet-planet scattering when the planets possess satellite systems. Planet-planet scattering explains the orbital eccentricities of the discs' host bodies, while the close encounters during

Immune delineation of laryngeal papilloma reveals enhanced neutrophil associated gene profile

Laryngeal papilloma (LP) is a rare benign disease, caused by recurrent multisite papillomas that are referred to as recurrent respiratory papillomatosis (RRP). RRP is caused primarily by two types of human papillomavirus (HPV): HPV6 and HPV11. The immune dysregulation within the microenvironment of the lesions has been shown to likely play a role in the development of RRP. The present study aimed

SLAM Using Cellular Multipath Component Delays and Angular Information with JPDA Approximation

Advanced cellular communication systems provide increased potential for opportunistic high-accuracy positioning. In this paper, long-term evolution (LTE) downlink signals from two commercial base stations (BS) are received by a massive antenna array mounted on a passenger vehicle. Multipath component (MPC) parameters, like delays and angle-of-arrival (AOA) are extracted from the received signals o

Implementation of Sequential Detection of Replay Attacks for a Cloud Native Controller

This paper focuses on the investigation of a sequential detection policy for combating the effect of the replay attack on a cloud-native controller. In reply attacks, an external attacker records true signals for some time duration and replays them later. The effect of such an attack is mitigated by adding random signals to the optimal control signal before the actuation process, which is known as

A Conceptual Framework and Recommendations for Open Data and Artifacts in Empirical Software Engineering

Open science aims to improve research accessibility, replicability, and consequently its quality. Empirical software engineering entails both data and artifacts, which may be shared more or less openly, to support transparency. However, the trade-offs involved in balancing the openness against integrity and secrecy concerns need methodological guidance. Aim. We aim to derive such advice, based on

Pre-activation negativity in language brain potentials

The pre-activation negativity (PrAN) is an event-related potential (ERP) component indexing how constraining phonological cues are. It has an early phase (136-200 ms), with sources in the left auditory cortices, and a late phase (200 ms onwards), with sources in Broca’s area. The PrAN has been found for segmental and prosodic cues increasing the certainty about upcoming words, morphemes, grammatic

A Switched Array Sounder for Dynamic Millimeter-Wave Channel Characterization: Design, Implementation and Measurements

A prerequisite for the design and evaluation of wireless systems is the understanding of propagation channels. While abundant propagation knowledge exists for bands below 6 GHz, the same is not true for millimeter-wave frequencies. In this paper, we present the design, implementation and measurement-based verification of a re-configurable 27.5-29.5 GHz channel sounder. Based on the switched array

Spatial Separation of Closely-Spaced Users in Measured Distributed Massive MIMO Channels

Aiming for the sixth generation (6G) wireless communications, distributed massive multiple-input multiple-output (MIMO) systems hold significant potential for spatial multiplexing. In order to evaluate the ability of a distributed massive MIMO system to spatially separate closely spaced users, this paper presents an indoor channel measurement campaign. The measurements are carried out at a carrier

Parallel motion vision pathways in the brain of a tropical bee

Spatial orientation is a prerequisite for most behaviors. In insects, the underlying neural computations take place in the central complex (CX), the brain’s navigational center. In this region different streams of sensory information converge to enable context-dependent navigational decisions. Accordingly, a variety of CX input neurons deliver information about different navigation-relevant cues.

Machine Learning Based Digital Pre-Distortion in Massive MIMO Systems : Complexity-Performance Trade-offs

In this paper, we study the trade-off between complexity and performance in massive MIMO systems with neural-network based digital pre-distortion (NN-DPD) blocks at the base station. In particular, we consider a multi-user massive MIMO system with per-antenna NN-DPDs, each with an adjustable NN architecture in terms of the size and the number of NN hidden layers. We first analyze the system perfor

Fading Resilient Backscatter Communication : Low-Complexity Transmission, Detection and Synchronization Schemes

Battery-free IoT devices are becoming increasingly interesting for environmental and practical reasons, with ambient backscatter as one of the candidate technologies. We present a class of balanced transmission patterns for ambient backscatter communication (BSC) and evaluate their performance under different signal-to-interference ratios and fading conditions. These patterns allow for bit synchro

Animal migration in the Anthropocene : threats and mitigation options

Animal migration has fascinated scientists and the public alike for centuries, yet migratory animals are facing diverse threats that could lead to their demise. The Anthropocene is characterised by the reality that humans are the dominant force on Earth, having manifold negative effects on biodiversity and ecosystem function. Considerable research focus has been given to assessing anthropogenic im

Interplay of socioeconomic status, cognition, and school performance in the ABCD sample

Coming from a disadvantaged background can have negative impact on an individual’s educational trajectory. Some people however seem unaffected and cope well with the demands and challenges posed by school education, despite growing up in adverse conditions, a phenomenon termed academic resilience. While it is uncertain which underlying factors make some people more likely to circumvent unfavorable

Angle estimation using mmWave RSS measurements with enhanced multipath information

mmWave communication has come up as the unexplored spectrum for 5G services. With new standards for 5G NR positioning, more off-the-shelf platforms and algorithms are needed to perform indoor positioning. An object can be accurately positioned in a room either by using an angle and a delay estimate or two angle estimates or three delay estimates. We propose an algorithm to jointly estimate the ang

Accurate Direct Positioning in Distributed MIMO Using Delay-Doppler Channel Measurements

Distributed multiple-input multiple-output (D-MIMO) is a promising technology for simultaneous communication and positioning. However, phase synchronization between multiple access points in D-MIMO is challenging and methods that function without the need for phase synchronization are highly desired. Therefore, we present a method for D-MIMO that performs direct positioning of a moving device base

The Cognitive Basis of the Conditional Probability Solution to the Value Problem for Reliabilism

The value problem for knowledge is the problem of explaining why knowledge is more valuable than mere true belief. The problem arises for reliabilism in particular, i.e., the externalist view that knowledge amounts to reliably acquired true belief. Goldman and Olsson argue that knowledge, in this sense, is more valuable than mere true belief due to the higher likelihood of future true beliefs (pro

Using Knowledge Representation and Task Planning for Robot-agnostic Skills on the Example of Contact-Rich Wiping Tasks

The transition to agile manufacturing, Industry 4.0, and high-mix-low-volume tasks require robot programming solutions that are flexible. However, most deployed robot solutions are still statically programmed and use stiff position control, which limit their usefulness. In this paper, we show how a single robot skill that utilizes knowledge representation, task planning, and automatic selection of