Search results for "verkot"

Assessing the influence of confounding biological factors when estimating bioaccumulation of PCBs with passive samplers in aquatic ecosystems

2017

Passive samplers are promising surrogates for organisms, mimicking bioaccumulation. However, several biological characteristics disturb the passive partitioning process in organisms by accelerating or restraining bioaccumulation, resulting in species-specific body residues of hydrophobic organic contaminants (HOCs). In addition to site-specific characteristics and HOC concentrations, age, sex, diet, biotransformation capability and habitat-specific characteristics may affect body residues. Two passive sampler types, polyethylene (PE) and polydimethylsiloxane (PDMS) were deployed in a PCB-contaminated freshwater lake water and sediment, respectively, to assess their bioaccumulation predictio…

Wireless Caching Aided 5G Networks

2018

Recent advances in machine learning for maximal oxygen uptake (VO2 max) prediction : A review

2022

Maximal oxygen uptake (VO2 max) is the maximum amount of oxygen attainable by a person during exercise. VO2 max is used in different domains including sports and medical sciences and is usually measured during an incremental treadmill or cycle ergometer test. The drawback of directly measuring VO2 max using the maximal test is that it is expensive and requires a fixed and controlled protocol. During the last decade, various machine learning models have been developed for VO2 max prediction and numerous studies have attempted to predict VO2 max using data from submaximal and non-exercise tests. This article gives an overview of the machine learning models developed over the past five years (…

A Comprehensive Survey on Cooperative Relaying and Jamming Strategies for Physical Layer Security

2019

Physical layer security (PLS) has been extensively explored as an alternative to conventional cryptographic schemes for securing wireless links. Many studies have shown that the cooperation between the legitimate nodes of a network can significantly enhance their secret communications performance, relative to the noncooperative case. Motivated by the importance of this class of PLS systems, this paper provides a comprehensive survey of the recent works on cooperative relaying and jamming techniques for securing wireless transmissions against eavesdropping nodes, which attempt to intercept the transmissions. First, it provides a in-depth overview of various secure relaying strategies and sch…

Towards Service-oriented 5G: Virtualizing the Networks for Everything-as-a-Service

2018

It is widely acknowledged that the forthcoming 5G architecture will be highly heterogeneous and deployed with a high degree of density. These changes over the current 4G bring many challenges on how to achieve an efficient operation from the network management perspective. In this article, we introduce a revolutionary vision of the future 5G wireless networks, in which the network is no longer limited by hardware or even software. Specifically, by the idea of virtualizing the wireless networks, which has recently gained increasing attention, we introduce the Everything-as-a-Service (XaaS) taxonomy to light the way towards designing the service-oriented wireless networks. The concepts, chall…

A modified niche model for generating food webs with stage-structured consumers : The stabilizing effects of life-history stages on complex food webs

2021

1. Almost all organisms grow in size during their lifetime and switch diets, trophic positions, and interacting partners as they grow. Such ontogenetic development introduces life-history stages and flows of biomass between the stages through growth and reproduction. However, current research on complex food webs rarely considers life-history stages. The few previously proposed methods do not take full advantage of the existing food web structural models that can produce realistic food web topologies. 2. We extended the niche model by Williams & Martinez (2000) to generate food webs that included trophic species with a life-history stage structure. Our method aggregated trophic species …

Design and validation of a wireless Body Sensor Network for integrated EEG and HD-sEMG acquisitions

2022

Sensorimotor integration is the process through which the human brain plans the motor program execution according to external sources. Within this context, corticomuscular and corticokinematic coherence analyses are common methods to investigate the mechanism underlying the central control of muscle activation. This requires the synchronous acquisition of several physiological signals, including EEG and sEMG. Nevertheless, physical constraints of the current, mostly wired, technologies limit their application in dynamic and naturalistic contexts. In fact, although many efforts were made in the development of biomedical instrumentation for EEG and High Density-surface EMG (HD-sEMG) signal ac…

OBEX- tai WAP-protokollan käyttö Bluetooth-ohjatussa robotissa

2006

Discovering hidden brain network responses to naturalistic stimuli via tensor component analysis of multi-subject fMRI data

2021

The study of brain network interactions during naturalistic stimuli facilitates a deeper understanding of human brain function. To estimate large-scale brain networks evoked with naturalistic stimuli, a tensor component analysis (TCA) based framework was used to characterize shared spatio-temporal patterns across subjects in a purely data-driven manner. In this framework, a third-order tensor is constructed from the timeseries extracted from all brain regions from a given parcellation, for all participants, with modes of the tensor corresponding to spatial distribution, time series and participants. TCA then reveals spatially and temporally shared components, i.e., evoked networks with the …

Telia Crowd Insights -tietojen hyödyntäminen pandemiatietoisuuden parantamiseksi Keski-Suomessa

2021

Telia Crowd Insights -tietojen hyödyntäminen pandemiatietoisuuden parantamiseksi KeskiSuomessa on Keski-Suomen liiton rahoittama hanke, jolla pyritään selvittämään, että pystytäänkö ihmisten ja ihmisvirtojen liikkeitä seuraamalla saavuttamaan parempi tilannekuva pandemia tilanteessa. Hankkeen tarkoituksena on keskittyä erilaisiin liikenteenseurantaratkaisuihin sekä tutkia koronaviruksen aiheuttamia vaikutuksia maakunnassa tapahtuvaan liikenteeseen ja liikkumiseen. Keväällä 2020 tuli voimaan poikkeukselliset olosuhteet, joiden takia liikenne muuttui merkittävästi erilaisten rajoitusten ja yleisen varovaisuuden vuoksi. Tämä on yksi merkittävimmistä ilmiöistä, joita projektissa pyritään tutkim…