• U-Compare bio-event meta-service: compatible BioNLP event extraction services 

      Kano, Yoshinobu; Björne, Jari; Ginter, Filip; Salakoski, Tapio; Buyko, Ekaterina; Hahn, Udo; Cohen, Kevin Bretonnel; Verspoor, Karin; Roeder, Christophe; Hunter, Lawrence E.; Kilicoglu, Halil; Bergler, Sabine; Van Landeghem, Sofie; Van Parys, Thomas; Van de Peer, Yves; Miwa, Makoto; Ananiadou, Sophia; Neves, Mariana; Pascual-Montano, Alberto; Ozgur, Arzucan; Radev, Dragomir R.; Riedel, Sebastian; Sætre, Rune; Chun, Hong-Woo; Kim, Jin-Dong; Pyysalo, Sampo; Ohta, Tomoko; Tsujii, Jun'ichi (Journal article; Peer reviewed, 2011)
      Background: Bio-molecular event extraction from literature is recognized as an important task of bio text mining and, as such, many relevant systems have been developed and made available during the last decade. While ...
    • The U-Net Family for Epicardial Adipose Tissue Segmentation and Quantification in Low-Dose CT 

      Liu, Lu; Ma, Runlei; van Ooijen, Peter M. A.; Oudkerk, Matthijs; Vliegenthart, Rozemarijn; Veldhuis, Raymond Nicolaas Johan; Brune, Christoph (Peer reviewed; Journal article, 2023)
      Epicardial adipose tissue (EAT) is located between the visceral pericardium and myocardium, and EAT volume is correlated with cardiovascular risk. Nowadays, many deep learning-based automated EAT segmentation and quantification ...
    • UAV anti-icing system based on conductive coating 

      Helland, Andreas Strand (Master thesis, 2014)
      Icing on leading edge surfaces such as wings and propeller blades presents a major risk for UAVs operating in a cold and humid environment. Reducing or loss of manoeuvrability, loss of lift, increase in drag, reducing ...
    • UAV Fault-Tolerant Control by Combined L1 Adaptive Backstepping and Fault-dependent Control Allocation 

      Sørensen, Mikkel Eske Nørgaard; Breivik, Morten (Chapter, 2015)
      This paper presents an approach to obtain fault tolerance in the nonlinear longitudinal motion control of an aircraft. The approach uses an L1 adaptive backstepping controller and fault-dependent control allocation to ...
    • UAV Icing: A Performance Model for a UAV Propeller in Icing Conditions 

      Müller, Nicolas Carlo; Hann, Richard; Johansen, Tor Arne (Chapter, 2022)
      In-flight icing on unmanned aerial vehicles is a severe hazard and imposes limits on the operational envelope. Icing has been shown to lead to substantial aerodynamic performance losses on lifting surfaces and propellers. ...
    • UAV Icing: A Unified Icing Severity Index Derived from Performance Degradation 

      Cheung, Michael; Hann, Richard; Johansen, Tor Arne (Chapter, 2022)
      A problem that unmanned aerial vehicles (UAV) operators face when dealing with in-flight icing conditions is a reliable way to assess icing severity risk. This paper aims to develop an icing severity index that looks at ...
    • UAV icing: Development of an ice protection system for the propeller of a small UAV 

      Müller, Nicolas Carlo; Løw-Hansen, Bogdan; Borup, Kasper Trolle; Hann, Richard (Journal article; Peer reviewed, 2023)
      Atmospheric icing, also called in-flight icing, is a common hazard for the operation of uncrewed aerial vehicles (UAVs). With the background of a growing commercial and military market of small and medium-sized drones and ...
    • UAV Icing: Ice Accretion Experiments and Validation 

      Hann, Richard (Journal article; Peer reviewed, 2019)
      Atmospheric icing is a key challenge to the operational envelope of medium-sized fixed-wing UAVs. Today, several numeric icing codes exist, that all have been developed for general aviation applications. UAVs with wingspans ...
    • UAV Icing: Ice Shedding Detection Methods for an Electrothermal De-Icing System 

      Løw Hansen, Bogdan; Hann, Richard; Johansen, Tor Arne (Chapter, 2022)
      Among the identified problems with unmanned aerial vehicles (UAVs), especially with the medium-sized fixed-wing UAVs, is a lack of mature ice protection systems (IPSs). One of the emerging UAV ice protection technologies ...
    • UAV Icing: Icing Cases for Validation of Path Planning Method 

      Cheung, Michael; Hann, Richard; Johansen, Tor Arne; Stovner, Bård Nagy (Peer reviewed; Journal article, 2023)
      As part of the complete solution to deal with atmospheric in-flight icing on unmanned aerial vehicles (UAV), a path planner is a valuable tool for finding an optimal path for accomplishing UAV missions. When considering ...
    • UAV Icing: Intercycle Ice Effects on Aerodynamic Performance 

      Wallisch, Joachim; Hann, Richard (Peer reviewed; Journal article, 2023)
      Atmospheric in-flight icing poses a challenge to all aircraft including unmanned aerial vehicles (UAVs). Aircraft should avoid icing conditions unless they have ways of mitigating the negative effects of icing, e.g., if ...
    • UAV net landing system for marine operations 

      Bjørsvik, Bård Rørlien (Master thesis, 2017)
      This thesis presents an automatic landing system designed for a fixed-wing unmanned aerial vehicle (UAV) to land in a net placed on ta ship. The UAV used is a Skywalker X8, a cheap and durable airframe, with a Pixhawk as ...
    • UAV Path Planning for Ice Intelligence Purposes using NLP 

      Grimsland, Lars Arne (Master thesis, 2012)
      As the oil and shipping industry are interested in operating in arctic waters, the need for ice intelligence gathering is rising.The thesis describes the implentation and results of a path planning framework for an UAV ...
    • UAV Path Planning for Maximum-Information Sensing in Spatiotemporal Data Acquisition 

      Vibeto, Andreas Nordby (Master thesis, 2017)
      Fixed-wing Unmanned Aerial Vehicles are extensively used for ground observation, as they allow for effective and precise methods of collecting information. They do however, have a downside as the quality of the information ...
    • UAV path planning using MILP with experiments 

      Albert, Anders; Leira, Frederik Stendahl; Imsland, Lars Struen (Journal article; Peer reviewed, 2017)
      In this paper, we look at the problem of tracking icebergs using multiple Unmanned Aerial Vehicles (UAVs). Our solutions use combinatorial optimization for UAV path planning by formulating a mixed integer linear programing ...
    • UAV-Based Hyperspectral Stereoscopic Imaging for Accurate 3D Terrain Mapping 

      Bugge, Andreas Horpedal (Master thesis, 2022)
      Hyperspektral avbildning gir en ny dimensjon til den velutprøvde og mer tradisjonelle avbildningsteknikken stereoskopisk avbildning. Det presenterte arbeidet utforsker hvordan de komplementære avbildningsteknikkene ...
    • UAV-enabled data acquisition scheme with directional wireless energy transfer for Internet of Things 

      Liu, Yalin; Dai, Hong-Ning; Wang, Hao; Imran, Muhammad; Wang, Xiaofeng; Shoaib, Muhammad (Peer reviewed; Journal article, 2020)
      Low power Internet of Things (IoT) is suffering from two limitations: battery-power limitation of IoT nodes and inflexibility of infrastructure-node deployment. In this paper, we propose an Unmanned Aerial Vehicle (UAV)-enabled ...
    • UAV-enabled friendly jamming scheme to secure industrial Internet of Things 

      Wang, Qubeijian; Dai, Hong-Ning; Wang, Hao; Xu, Guangquan; Sangaiahs, Arun Kumar (Journal article; Peer reviewed, 2019)
      Eavesdropping is a critical threat to the security of industrial Internet of things (IIoT) since many malicious attacks often follow eavesdropping activities. In this paper, we present an anti-eavesdropping scheme based ...
    • UAV/UAS path planning for ice management information gathering 

      Stalmakou, Artsiom (Master thesis, 2011)
      The key objective of this work is the proposition of the path planning strategy for unmanned aerial vehicle (UAV) intended for information gathering in Arctic environments / ice-infested regions. Two different path planning ...
    • UbiBazaar: App Store for the Internet of Things 

      Stastny, Simon (Master thesis, 2015)
      Recently the world witnesses the emergence of Internet of Things (IoT) technologies, as new commercial IoT products by both large tech companies and new startups are coming to market daily. The recent boom in hardware ...