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Din sökning på "kognition" gav 1607 sökträffar

Acoustic estimation of voice roughness

Roughness is a perceptual characteristic of sound that was first applied to musical consonance and dissonance, but it is increasingly recognized as a central aspect of voice quality in human and animal communication. It may be particularly important for asserting social dominance or attracting attention in urgent signals such as screams. To ensure that the results of roughness research are valid a

Linear-quadratic level control for flotation through reinforcement learning

In the mining industry, flotation is a commonly used process to separate valuable minerals from waste rock in a concentrator. The rougher flotation is the first stage of the process and in Boliden AB’s concentrator at Aitik, it consists of two lines of four flotation cells each. In this paper we consider one line and the buffer tank upstream of it. Modeling this process step, and maintaining an up

Planar Friction Modeling With LuGre Dynamics and Limit Surfaces

During planar motion, contact surfaces exhibit a coupling between tangential and rotational friction forces. This article proposes planar friction models grounded in the LuGre model and limit surface theory. First, distributed planar extended state models are proposed, and the elastoplastic model is extended for multidimensional friction. Subsequently, we derive a reduced planar friction model cou

Recovery From Heavy Vocal Loading in Women With Different Degrees of Functional Voice Problems

Type of Study: This is a longitudinal, case-control clinical trial. Objectives: This study aims to track recovery time following a vocal loading task (VLT) imposing vocal fatigue and to explore if patients with functional dysphonia (FD) are worse affected by vocal loading, and if these patients take longer than others to recover. Methods: Fifty (n = 50) female participants in four vocal subgroups

What control engineers should know about industry 4.0

Control engineering is a well-established discipline with a long and prominent his-tory1. It is diverse in its applications but has a strong unifying core to it: the notion ofdynamic systems and control theory. Many engineers will have encountered it as partof their education, as control engineering courses are taught to electrical, mechanical,chemical, aerospace, and industrial engineers. Quite o

Obstacle Avoidance in Dynamic Environments via Tunnel-following MPC with Adaptive Guiding Vector Fields

This paper proposes a motion control scheme for robots operating in a dynamic environment with concave obstacles. A Model Predictive Controller (MPC) is constructed to drive the robot towards a goal position while ensuring collision avoidance without direct use of obstacle information in the optimization problem. This is achieved by guaranteeing tracking performance of an appropriately designed re

SELF-PERCEIVED VOCAL HEALTH AND SOCIAL PARTICIPATION AMONG OLDER ADULTS

The aim of this study is to investigate the association between self-perceived voice problems and social participation among older adults (65-80 years). A complementary aim was to investigate the association between self-perceived voice problems and physical activity. Method Participants were recruited through social media and asked to complete an online questionnaire. In total, 152 individuals we

Data-Driven Campaigning in Data-Dense Small Multiparty Systems: A Party-Level Analysis

This study examines data-driven campaign (DDC) practices in Sweden. We explore the extent of data-driven practices adopted in Swedish political campaigns, and parties’ motivations to adopt them. Since this is a comparison of domestic parties, we test the importance of four party-level factors—resources, structure, attitudes toward data use, and ideology—using extensive interviews with key campaign

FETCH : A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems

The rapid development of wearable biomedical systems now enables real-time monitoring of electroencephalography (EEG) signals. Acquisition of these signals relies on electrodes. These systems must meet the design challenge of selecting an optimal set of electrodes that balances performance and usability constraints. The search for the optimal subset of electrodes from a larger set is a problem wit

Craft Thinking : A relational approach to making and design

The chapter concerns craft thinking as it occurs within the craft making process when the maker is engaged in manipulating the material using the hands and body. The aim is to explain how nonverbal craft thinking enables operating critically and coping with problems such as uncertainty, insufficient information, and insufficient quality within the craft making process. Approaching craft thinking w

The influence of voice quality on sentence processing and recall performance in school-age children with normal hearing

Previous findings suggest that working memory capacity (WMC) is influenced by a dysphonic voice quality. The present study examines the influence of voice quality on sentence processing and word recall in a working memory task. Fifty-seven children (8:1–9:1 years old) with normal hearing participated. Working memory capacity (WMC) was assessed using a competing language processing task (CLPT) whic

Creating Star Worlds : Reshaping the Robot Workspace for Online Motion Planning

Closed-loop motion planning is suitable for obstacle avoidance in dynamically changing environments due to its reactive nature, and various methods have been presented to provide (almost) global convergence. A common assumption in the control design is that the robot operates in a disjoint star world, i.e., all obstacles are strictly starshaped and mutually disjoint. However, in real-life scenario

A closed-loop design for scalable high-order consensus

This paper studies the problem of coordinating a group of nth-order integrator systems. As for the well-studied conventional consensus problem, we consider linear and distributed control with only local and relative measurements. We propose a closed-loop dynamic that we call serial consensus and prove it achieves nth order consensus regardless of model order and underlying network graph. This alle

Learning pharmacometric covariate model structures with symbolic regression networks

Efficiently finding covariate model structures that minimize the need for random effects to describe pharmacological data is challenging. The standard approach focuses on identification of relevant covariates, and present methodology lacks tools for automatic identification of covariate model structures. Although neural networks could potentially be used to approximate covariate-parameter relation

Scale fragilities in localized consensus dynamics

We consider distributed consensus in networks where the agents have integrator dynamics of order two or higher (n≥2). We assume all feedback to be localized in the sense that each agent has a bounded number of neighbors and consider a scaling of the network through the addition of agents in a modular manner, i.e., without re-tuning controller gains upon addition. We show that standard consensus al

Antonym knowledge in children with language impairment - testing the semantic domain theory

Background: In this study we explore if the single domain thesis for adjectives is relevant for children with language impairment (LI). The thesis predicts that if one word from a domain is learned during acertain period, other words from the same domain are more likely to be learned during roughly the same period. Given that the two words in antonym pairs belong to the same semantic domain theass

Social Robots for Social Institutions : Scaling Up and Cutting Back on Cognition

Current technological change is rapid and far-reaching, more so than ever before in human history. It is transforming all dimensions of human life, leading to large-scale adaptation. Among the disruptive new technologies that are being introduced into society, social robots are distinguished by their hybrid existence between mere thing and mindful agent. They are physical machines capable of inter

Decentralized leader-follower control for centroid and formation tracking

In this paper, a novel decentralized leader-follower control scheme for multi–agent systems is devised, where each agent communicates only with a subset of neighboring mates. The goal is to track assigned trajectories for the centroid and the formation of the system. The desired trajectories are known only by a subset of agents, named leaders: the other agents, the followers, are required to estim