• Use of Analytical Hierarchy Process in Selecting the Optimum Equipment for Execution at a Construction Project 

      Keprate, Arvind; Kumar, Gaurav Thakur (IEEE International Conference on Industrial Engineering and Engineering Management; 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Chapter; Peer reviewed; Conference proceeding, 2020-01-12)
      There are plethora of issues associated with construction project management process, the most important being the selection of the optimum equipment for execution at a construction site. Different people have different ...
    • Comparing generic and vectorial nonlinear manoeuvring models and parameter estimation using optimal truncated least square support vector machine 

      Xu, Haitong; Hassani, Vahid; Soares, C. Guedes (Applied Ocean Research;Volume 97, April 2020, Journal article; Peer reviewed, 2020-01-18)
      An optimal truncated least square support vector machine (LS-SVM) is proposed for the parameter estimation of nonlinear manoeuvring models based on captive manoeuvring tests. Two classical nonlinear manoeuvring models, ...
    • Truncated least square support vector machine for parameter estimation of a nonlinear manoeuvring model based on PMM tests 

      Xu, Haitong; Hassani, Vahid; Guedes-Soares, C. (Applied Ocean Research;Volume 97, April 2020, Journal article; Peer reviewed, 2020-01-28)
      A new version of least square support vector machine (LS-SVM), the truncated LS-SVM, is proposed to estimate the nondimensionalized hydrodynamic coefficients. Truncated LS-SVM is shown to be an efficient and robust method ...
    • Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks 

      Mello, Gustavo; Pontes-Filho, Sidney; Sandvig, Ioanna; Valderhaug, Vibeke Devold; Zouganeli, Evi; Huse Ramstad, Ola; Sandvig, Axel; Nichele, Stefano (IEEE Symposium Series on Computational Intelligence (SSCI);, Chapter; Peer reviewed, 2020-02-20)
      In the brain, the structure of a network of neurons defines how these neurons implement the computations that underlie the mind and the behavior of animals and humans. Provided that we can describe the network of neurons ...
    • Deletion of Endonuclease V suppresses chemically induced hepatocellular carcinoma 

      Kong, Xiang Yi; Vik, Erik Sebastian; Nawaz, Meh Sameen; Berges, Natalia; Dahl, Tuva Børresdatter; Vågbø, Cathrine; Suganthan, Rajikala; Segers, Filip; Holm, Sverre; Quiles-Jimenez, Ana; Gregersen, Ida; Fladeby, Cathrine; Aukrust, Pål; Bjørås, Magnar; Klungland, Arne; Halvorsen, Bente; Alseth, Ingrun (Nucleic Acids Research;Volume 48, Issue 8, Journal article; Peer reviewed, 2020-02-21)
      Endonuclease V (EndoV) is a conserved inosinespecific ribonuclease with unknown biological function. Here, we present the first mouse model lacking EndoV, which is viable without visible abnormalities. We show that ...
    • Impact of treatment on cellular immunophenotype in MS: A cross-sectional study 

      Cellerino, Maria; Ivaldi, Frederico; Pardini, Matteo; Rotta, Gianluca; Vila, Gemma; Bäcker-Koduah, Priscilla; Berge, Tone; Laroni, Alice; Lapucci, Caterina; Novi, Giovanni; Boffa, Giacomo; Sbragia, Elvira; Palmeri, Serena; Aassayer, Susanna; Høgestøl, Einar August; Campi, Cristina; Piana, Michele; Inglese, Matilde; Friedemann, Paul; Harbo, Hanne Flinstad; Villoslada, Pablo; Kerlero de Rosbo, Nicole; Uccelli, Antonio (Neurology, Neuroimmunology and Neuroinflammation;volume 7, issue 3, Journal article; Peer reviewed, 2020-03-05)
      Objective: To establish cytometry profiles associated with disease stages and immunotherapy in MS. Methods: Demographic/clinical data and peripheral blood samples were collected from 227 patients with MS and 82 sex- and ...
    • The concept of Laser Spot Thermography test rig with real-time data processing 

      Roemer, Jakub (The International Journal of Multiphysics;Volume 14 · Number 1 · 2020, Journal article; Peer reviewed, 2020-03-31)
      The paper shows the concept of Laser Spot Thermography test rig with real time data processing. Laser Spot Thermography is a promising method for non-destructive testing applications especially, when fully non-contact procedure ...
    • Fog computing for sustainable smart cities in the IoT era: Caching techniques and enabling technologies - an overview 

      Zahmatkesh, Hadi; Al-Turjman, Fadi (Sustainable Cities and Society;Volume 59, August 2020, 102139, Journal article; Peer reviewed, 2020-04-29)
      In recent decade, the number of devices involved with the Internet of Things (IoT) phenomena has increased dramatically. Parallel to this, fog computing paradigm has been introduced in order to support the computational ...
    • Real-time water quality monitoring with chemical sensors 

      Yaroshenko, Irina; Kirsanov, Dmitry; Marjanovic, Monika; Lieberzeit, Peter A.; Korostynska, Olga; Mason, Alex; Frau, Ilaria; Legin, Andrey (Sensors;Volume 20, Issue 12, Journal article; Peer reviewed, 2020-06-17)
      Water quality is one of the most critical indicators of environmental pollution and it affects all of us. Water contamination can be accidental or intentional and the consequences are drastic unless the appropriate measures ...
    • SHADE: Absorption spectroscopy enhancement with ambient light estimation and narrow-band detection 

      Sherkat, Habib; Pinto-Orellana, Marco Antonio; Mirtaheri, Peyman (Optik;Volume 220, October 2020, Journal article; Peer reviewed, 2020-06-19)
      Ambient light (AML) limits the usage of absorption spectroscopy to strictly-controlled environments due to its impact on the quality of the signals. In medical applications for Optical instruments that require high reliability ...
    • Caffeine Increases Strength and Power Performance in Resistance-trained Females During Early Follicular Phase 

      Norum, Martin; Risvang, Linn; Bjørnsen, Thomas; Dimitriou, Lygeri; Rønning, Per Ola; Bjørgen, Morten; Raastad, Truls (Scandinavian Journal of Medicine & Science in Sports;Volume 30, Issue 11, November 2020, Journal article; Peer reviewed, 2020-07-18)
      The effects of 4 mg·kg−1caffeine ingestion on strength and power were investigated for the first time, in resistance-trained females during the early follicular phase utilizing a randomized, double-blind, placebo-controlled, ...
    • Analysis of Optical Brain Signals Using Connectivity Graph Networks 

      Pinto-Orellana, Marco Antonio; Hammer, Hugo Lewi (Lecture Notes in Computer Science;Volume 12279, Conference object, 2020-08-18)
      Graph network analysis (GNA) showed a remarkable role for understanding brain functions, but its application is mainly nar-rowed to fMRI research. Connectivity analysis (CA) is introduced as a signal-to-graph mapping in a ...
    • Dyadic Aggregated Autoregressive Model (DASAR) for Automatic Modulation Classification 

      Pinto-Orellana, Marco Antonio; Hammer, Hugo Lewi (IEEE Access;Volume 8, Journal article; Peer reviewed, 2020-08-27)
      In this article, we presented a novel spectral estimation method, the dyadic aggregated autoregressive model (DASAR), that characterizes the spectrum dynamics of a modulated signal. DASAR enhances automatic modulation ...
    • Experimental Results for Pitch Damping in Speed and Wave for a Surface Effect Ship with Split Air Cushion 

      Hassani, Vahid; Auestad, Øyvind; Nataletti, Marco (Control Technology and Applications (CCTA);2020 IEEE Conference on Control Technology and Applications (CCTA), Conference object, 2020-09-28)
      This paper presents experimental results in damping the pitch motion on a Surface Effect Ship (SES) in high vessel speeds in presence of regular wave. The SES is a marine craft supported by pressurized air cushion. It ...
    • Multiphysics Study of Infrared Thermography (IRT) Applications 

      Andleeb, Zahra; Malik, Sohail; Hussain, Gulam; Khawaja, Hassan; Roemer, Jakub; Boiger, Gernot; Moatamedi, Mojtaba (The International Journal of Multiphysics;Volume 14 · Number 3, Journal article; Peer reviewed, 2020-09-30)
      The paper reviews thermographic and vibrothermography applications such as cold climate operations, determine the temperature profile of steel samples under tensile testing and perform composites Non-Destructive Testing ...
    • A methodology for building a data-enclosing tunnel for automated online-feedback in simulator training 

      Marcano, Laura; Manca, Davide; Yazidi, Anis; Komulainen, Tiina M. (Computers and Chemical Engineering;Volume 132, Journal article; Peer reviewed, 2020-10-21)
      Extensive research confirms that feedback is the key to an effective training. However, in many domains, human trainers, who can provide feedback to trainees, are considered not only a costly but also a scarce resource. ...
    • Multiphysics Analysis of Contact Pressure Profile of Airless tires as compared to Conventional Tires 

      Ludvigsen, Søndre; Andleeb, Zahra; Khawaja, Hassan; Moatamedi, Mojtaba; Alzahabi, Basem (The International Journal of Multiphysics;Volume 14 · Number 4 · 2020, Journal article; Peer reviewed, 2020-11-15)
      The harsh climate of the Arctic has always posed significant challenges to car drivers. The severe loss in traction due to snow and icing on the roads has led to an increased risk of collisions. The chapter compares ...
    • A method for smoothly disengaging the load-holding valves of energy-efficient electro-hydraulic systems 

      Hagen, Daniel; Padovani, Damiano (Proceedings;Volume 64, Issue 1, The 1st International Electronic Conference on Actuator Technology: Materials, Devices and Applications, Journal article; Peer reviewed, 2020-11-20)
      A novel self-contained, electro-hydraulic cylinder drive capable of passive load-holding, four-quadrant operations, and energy recovery was presented recently and implemented successfully. This solution improved greatly ...
    • Mobile robotic platforms for the acoustic tracking of deep-sea demersal fishery resources 

      Masmitja, Ivan; Navarro, J.; Gomariz, S.; Aguzzi, J.; Kleft, B.; O'Reilly, T.; Katija, K.; Bouvet, P.J.; Fannjiang, C.; Vigo, M.; Puig, P.; Alcocer, Alex; Vallicrosa, G.; Palomeras, N.; Carreras, M.; Del Rio, J.; Company, J.B. (Science Robotics;Vol. 5, Issue 48, Journal article; Peer reviewed, 2020-11-25)
      Knowing the displacement capacity and mobility patterns of industrially exploited (i.e., fished) marine resources is key to establishing effective conservation management strategies in human-impacted marine ecosystems. ...
    • BrainWave Nets: Are Sparse Dynamic Models Susceptible to Brain Manipulation Experimentation? 

      Nascimento, Diego C.; Pinto-Orellana, Marco Antonio; Leite, Joao P.; Edwards, Dylan J.; Louzada, Francisco; Santos, Taiza E. G. (Frontiers in Systems Neuroscience;volume 14, Peer reviewed; Journal article, 2020-11-26)
      Sparse time series models have shown promise in estimating contemporaneous and ongoing brain connectivity. This paper was motivated by a neuroscience experiment using EEG signals as the outcome of our established interventional ...