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  • 2021-2021
  • Open Access
  • Contribution for newspaper or weekly magazine

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  • Publication . Contribution for newspaper or weekly magazine . 2021
    Open Access
    Authors: 
    Pérez-Caramés, Antía;
    Publisher: Universidade da Coruña
    Country: Spain
  • Publication . Contribution for newspaper or weekly magazine . Conference object . 2021
    Open Access Danish
    Authors: 
    Lise Lotte Weilgaard Christensen; Lina Henriksen;
    Publisher: Terminologicentralen
    Country: Denmark
  • Publication . Conference object . Contribution for newspaper or weekly magazine . 2021
    Open Access
    Authors: 
    Burkhard C. Wunsche; Michael Abernethy; Sylwia Hyniewska; Zhang Luo; Roshan Prakash Pawar; Sheng Cao; Christopher Brock; Alex Shaw; Christof Lutteroth;
    Publisher: IEEE
    Country: United Kingdom

    By immersing themselves in a game users may exert themselves more than they would in every day life. One important driving factor in games and many forms of exercise is competition, at once engaging socially in the activity and trying to outdo an opponent or oneself. Large differences in fitness levels make competition infeasible between some opponents, but exergaming can remedy this with the use of balancing via exertion.We developed a fully immersive virtual cycling race and balanced the competition between opponents by scaling their speed according to how close they were to their target heart rate. Incorporating a virtual reality headset and a vibrant 3D world, users were exhilarated and pushed themselves to high levels of exertion. Our results suggest that balanced games can reduce the performance gap between opponents, and might increase motivation and enjoyment for users with lower fitness level. However, heart-rate balancing might be demotivating for very fit users.

  • Open Access English
    Authors: 
    Li, Chao; Wei, Yiran; Chen, Xi; Schönlieb, Carola Bibiane;
    Publisher: Springer Science and Business Media Deutschland GmbH
    Country: United Kingdom

    Alzheimer’s disease (AD) is the most common age-related dementia, which significantly affects an individual’s daily life and impact socioeconomics. It remains a challenge to identify the individuals at risk of dementia for precise management. Brain MRI offers a non-invasive biomarker to detect brain aging. Previous evidence shows that the structural brain network generated from the diffusion MRI promises to classify dementia accurately based on deep learning models. However, the limited availability of diffusion MRI challenges the model training of deep learning. We propose the BrainNetGAN, a variant of the generative adversarial network, to efficiently augment the structural brain networks for dementia classifying tasks. The BrainNetGAN model is trained to generate fake brain connectivity matrices, which are expected to reflect the latent distribution and topological features of the real brain network data. Numerical results show that the BrainNetGAN outperforms the benchmarking algorithms in augmenting the brain networks for AD classification tasks.

  • Open Access English
    Authors: 
    Atkinson, Siân; Stock, Holly; Preatoni, Ezio;
    Publisher: International Society of Biomechanics in Sports (ISBS)
    Country: United Kingdom

    We assessed change of direction abilities in team sport female athletes. Ten participants returned to full activity from ACL reconstruction (ACLR) for longer than one year and 10 healthy controls (CON) were compared. Twelve maximal effort 45° cutting manoeuvres from the reconstructed side (ACLR) or a random selection of both sides (CON) were analysed for each individual using a motion capture system. CON showed greater medio-lateral centre of mass (COM) acceleration between 51 and 75% of ground contact. CON reported increased ankle plantar flexor power from 94 to 98% of foot contact, with also a higher peak. Although cleared to return to full activity, biomechanical differences associated with performance were still present in the ACLR group, which may have implications for better targeting rehabilitation practice.

  • Publication . Contribution for newspaper or weekly magazine . 2021
    Open Access
    Authors: 
    Delicado-Moratalla, Lydia;
    Publisher: Universidade da Coruña
    Country: Spain

    Introducción del monográfico titulado Pornografía: una geografía sexual del poder Presentation to the special issue entitled 'Pornography: A Sexual Geography of Power'.

  • Publication . Contribution for newspaper or weekly magazine . 2021
    Open Access English
    Authors: 
    Davenport, James H.; Pring, Benjamin;
    Publisher: Springer Science and Business Media Deutschland GmbH
    Country: United Kingdom

    In this paper we demonstrate that the overheads (ancillae qubits/time/number of gates) involved with implementing quantum oracles for a generic key-recovery attack against block-ciphers using quantum search techniques can be reduced. In particular, if we require r≥ 1 plaintext-ciphertext pairs to uniquely identify a user’s key, then using Grover’s quantum search algorithm for cryptanalysis of block-ciphers as in [2, 3, 9, 13, 18] would require a quantum circuit which requires effort (either Time × Space product or number of quantum gates) proportional to r. We demonstrate how we can reduce this by a fine-grained approach to quantum amplitude amplification [6, 17] and design of the required quantum oracles. We furthermore demonstrate that this effort can be reduced to < r with respect to cryptanalysis of AES-128/192/256 and provide full quantum resource estimations for AES-128/192/256 with our methods, and code in the Q# quantum programming language that extends the work of [13].

  • Publication . Contribution for newspaper or weekly magazine . 2021
    Open Access English
    Authors: 
    Romankiewicz, Tanja; Ralston, Ian;
    Country: United Kingdom

    Field visits to the broch of Dun Troddan in Glenelg in northwest Scotland in 2010 and 2012 resulted in a critical re-assessment of that site and widened to consider current understandings and reconstructions of brochs, and in particular of the assumed substantial consumption of large timbers for such building projects. Following a re-appraisal of A O Curle’s excavation at Dun Troddan in the light of this new fieldwork and based on recent research into the architecture of brochs (Romankiewicz 2011), evidence for postrings within brochs more generally is considered, as are the quantities of timber available to and required by the builders. A few concluding speculations explore the implications of timber requirements for more general interpretations of Atlantic Scottish Iron Age societies.

  • Publication . Contribution for newspaper or weekly magazine . 2021
    Open Access Spanish; Castilian
    Authors: 
    Delicado-Moratalla, Lydia;
    Publisher: Universidade da Coruña
    Country: Spain

    Esta entrevista fue realizada para la Revista Atlánticas por Lydia Delicado-Moratalla, coordinadora del presente número monográfico, titulado Pornografía: una geografía sexual del poder. .

  • Publication . Contribution for newspaper or weekly magazine . Conference object . 2021
    Open Access
    Authors: 
    Uriel Martinez-Hernandez; Adrian Rubio-Solis;
    Publisher: IEEE
    Country: United Kingdom

    This work presents a method for recognition of walking activities and prediction of gait periods using wearable sensors. First, a Convolutional Neural Network (CNN) is used to recognise the walking activity and gait period. Second, the output of the CNN is used by a Predicted Information Gain (PIG) method to predict the next most probable gait period while walking. The output of these two processes are combined to adapt the recognition accuracy of the system. This adaptive combination allows us to achieve an optimal recognition accuracy over time. The validation of this work is performed with an array of wearable sensors for the recognition of level-ground walking, ramp ascent and ramp descent, and prediction of gait periods. The results show that the proposed system can achieve accuracies of 100% and 99.9% for recognition of walking activity and gait period, respectively. These results show the benefit of having a system capable of predicting or anticipating the next information or event over time. Overall, this approach offers a method for accurate activity recognition, which is a key process for the development of wearable robots capable of safely assist humans in activities of daily living.

Advanced search in
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
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Include:
6,321 Research products, page 1 of 633
  • Publication . Contribution for newspaper or weekly magazine . 2021
    Open Access
    Authors: 
    Pérez-Caramés, Antía;
    Publisher: Universidade da Coruña
    Country: Spain
  • Publication . Contribution for newspaper or weekly magazine . Conference object . 2021
    Open Access Danish
    Authors: 
    Lise Lotte Weilgaard Christensen; Lina Henriksen;
    Publisher: Terminologicentralen
    Country: Denmark
  • Publication . Conference object . Contribution for newspaper or weekly magazine . 2021
    Open Access
    Authors: 
    Burkhard C. Wunsche; Michael Abernethy; Sylwia Hyniewska; Zhang Luo; Roshan Prakash Pawar; Sheng Cao; Christopher Brock; Alex Shaw; Christof Lutteroth;
    Publisher: IEEE
    Country: United Kingdom

    By immersing themselves in a game users may exert themselves more than they would in every day life. One important driving factor in games and many forms of exercise is competition, at once engaging socially in the activity and trying to outdo an opponent or oneself. Large differences in fitness levels make competition infeasible between some opponents, but exergaming can remedy this with the use of balancing via exertion.We developed a fully immersive virtual cycling race and balanced the competition between opponents by scaling their speed according to how close they were to their target heart rate. Incorporating a virtual reality headset and a vibrant 3D world, users were exhilarated and pushed themselves to high levels of exertion. Our results suggest that balanced games can reduce the performance gap between opponents, and might increase motivation and enjoyment for users with lower fitness level. However, heart-rate balancing might be demotivating for very fit users.

  • Open Access English
    Authors: 
    Li, Chao; Wei, Yiran; Chen, Xi; Schönlieb, Carola Bibiane;
    Publisher: Springer Science and Business Media Deutschland GmbH
    Country: United Kingdom

    Alzheimer’s disease (AD) is the most common age-related dementia, which significantly affects an individual’s daily life and impact socioeconomics. It remains a challenge to identify the individuals at risk of dementia for precise management. Brain MRI offers a non-invasive biomarker to detect brain aging. Previous evidence shows that the structural brain network generated from the diffusion MRI promises to classify dementia accurately based on deep learning models. However, the limited availability of diffusion MRI challenges the model training of deep learning. We propose the BrainNetGAN, a variant of the generative adversarial network, to efficiently augment the structural brain networks for dementia classifying tasks. The BrainNetGAN model is trained to generate fake brain connectivity matrices, which are expected to reflect the latent distribution and topological features of the real brain network data. Numerical results show that the BrainNetGAN outperforms the benchmarking algorithms in augmenting the brain networks for AD classification tasks.

  • Open Access English
    Authors: 
    Atkinson, Siân; Stock, Holly; Preatoni, Ezio;
    Publisher: International Society of Biomechanics in Sports (ISBS)
    Country: United Kingdom

    We assessed change of direction abilities in team sport female athletes. Ten participants returned to full activity from ACL reconstruction (ACLR) for longer than one year and 10 healthy controls (CON) were compared. Twelve maximal effort 45° cutting manoeuvres from the reconstructed side (ACLR) or a random selection of both sides (CON) were analysed for each individual using a motion capture system. CON showed greater medio-lateral centre of mass (COM) acceleration between 51 and 75% of ground contact. CON reported increased ankle plantar flexor power from 94 to 98% of foot contact, with also a higher peak. Although cleared to return to full activity, biomechanical differences associated with performance were still present in the ACLR group, which may have implications for better targeting rehabilitation practice.

  • Publication . Contribution for newspaper or weekly magazine . 2021
    Open Access
    Authors: 
    Delicado-Moratalla, Lydia;
    Publisher: Universidade da Coruña
    Country: Spain

    Introducción del monográfico titulado Pornografía: una geografía sexual del poder Presentation to the special issue entitled 'Pornography: A Sexual Geography of Power'.

  • Publication . Contribution for newspaper or weekly magazine . 2021
    Open Access English
    Authors: 
    Davenport, James H.; Pring, Benjamin;
    Publisher: Springer Science and Business Media Deutschland GmbH
    Country: United Kingdom

    In this paper we demonstrate that the overheads (ancillae qubits/time/number of gates) involved with implementing quantum oracles for a generic key-recovery attack against block-ciphers using quantum search techniques can be reduced. In particular, if we require r≥ 1 plaintext-ciphertext pairs to uniquely identify a user’s key, then using Grover’s quantum search algorithm for cryptanalysis of block-ciphers as in [2, 3, 9, 13, 18] would require a quantum circuit which requires effort (either Time × Space product or number of quantum gates) proportional to r. We demonstrate how we can reduce this by a fine-grained approach to quantum amplitude amplification [6, 17] and design of the required quantum oracles. We furthermore demonstrate that this effort can be reduced to < r with respect to cryptanalysis of AES-128/192/256 and provide full quantum resource estimations for AES-128/192/256 with our methods, and code in the Q# quantum programming language that extends the work of [13].

  • Publication . Contribution for newspaper or weekly magazine . 2021
    Open Access English
    Authors: 
    Romankiewicz, Tanja; Ralston, Ian;
    Country: United Kingdom

    Field visits to the broch of Dun Troddan in Glenelg in northwest Scotland in 2010 and 2012 resulted in a critical re-assessment of that site and widened to consider current understandings and reconstructions of brochs, and in particular of the assumed substantial consumption of large timbers for such building projects. Following a re-appraisal of A O Curle’s excavation at Dun Troddan in the light of this new fieldwork and based on recent research into the architecture of brochs (Romankiewicz 2011), evidence for postrings within brochs more generally is considered, as are the quantities of timber available to and required by the builders. A few concluding speculations explore the implications of timber requirements for more general interpretations of Atlantic Scottish Iron Age societies.

  • Publication . Contribution for newspaper or weekly magazine . 2021
    Open Access Spanish; Castilian
    Authors: 
    Delicado-Moratalla, Lydia;
    Publisher: Universidade da Coruña
    Country: Spain

    Esta entrevista fue realizada para la Revista Atlánticas por Lydia Delicado-Moratalla, coordinadora del presente número monográfico, titulado Pornografía: una geografía sexual del poder. .

  • Publication . Contribution for newspaper or weekly magazine . Conference object . 2021
    Open Access
    Authors: 
    Uriel Martinez-Hernandez; Adrian Rubio-Solis;
    Publisher: IEEE
    Country: United Kingdom

    This work presents a method for recognition of walking activities and prediction of gait periods using wearable sensors. First, a Convolutional Neural Network (CNN) is used to recognise the walking activity and gait period. Second, the output of the CNN is used by a Predicted Information Gain (PIG) method to predict the next most probable gait period while walking. The output of these two processes are combined to adapt the recognition accuracy of the system. This adaptive combination allows us to achieve an optimal recognition accuracy over time. The validation of this work is performed with an array of wearable sensors for the recognition of level-ground walking, ramp ascent and ramp descent, and prediction of gait periods. The results show that the proposed system can achieve accuracies of 100% and 99.9% for recognition of walking activity and gait period, respectively. These results show the benefit of having a system capable of predicting or anticipating the next information or event over time. Overall, this approach offers a method for accurate activity recognition, which is a key process for the development of wearable robots capable of safely assist humans in activities of daily living.

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