Now showing items 41-60 of 1669

    • A Parallel FPGA Implementation of the CCSDS-123 Compression Algorithm 

      Orlandic, Milica; Fjeldtvedt, Johan Austlid; Johansen, Tor Arne (Journal article; Peer reviewed, 2019)
      Satellite onboard processing for hyperspectral imaging applications is characterized by large data sets, limited processing resources and limited bandwidth of communication links. The CCSDS-123 algorithm is a specialized ...
    • A Probabilistic Approach to Information Control 

      Nyre, Åsmund Ahlmann; Jaatun, Martin Gilje (Journal article; Peer reviewed, 2010)
    • A project management issue of new technology developments: A case study on lack of human factors' attention in human-robot interaction 

      Fossum, Knut Robert; Danielsen, Brit-Eli; Aarseth, Wenche Kristin; Johnsen, Stig Ole (Journal article; Peer reviewed, 2018)
      The complexity of today’s sociotechnical systems has prompted researchers and practitioners to advocate new holistic approaches to safety. However, many engineering standards, methods and processes for addressing technical, ...
    • A Review of Inference Algorithms for Hybrid Bayesian Networks 

      Salmeron, Antonio; Rumi, Rafael; Langseth, Helge; Nielsen, Thomas D.; Madsen, Anders L. (Journal article; Peer reviewed, 2018)
      Hybrid Bayesian networks have received an increasing attention during the last years. The difference with respect to standard Bayesian networks is that they can host discrete and continuous variables simultaneously, which ...
    • A Review of Systems and Technologies for Smart Homes and Smart Grids 

      Lobaccaro, Gabriele; Carlucci, Salvatore; Löfström, Erica (Journal article; Peer reviewed, 2016)
      In the actual era of smart homes and smart grids, advanced technological systems that allow the automation of domestic tasks are developing rapidly. There are numerous technologies and applications that can be installed ...
    • A Rhombic Dodecahedron Topology for Human-Centric Banking Big Data 

      Wang, Hao; Ma, Shenglan; Dai, Hong-Ning (Journal article; Peer reviewed, 2019)
      Banks are collecting an unprecedentedly large amount of data about their customers from difference sources, considering their cyber, physical, social activities. The focus of this paper is to study the problem of information ...
    • A Sanitization Approach to Secure Shared Data in an IoT Environment 

      Lin, Chun Wei; Wu, Jimmy Ming-Tai; Fournier-Viger, Philippe; Djenouri, Youcef; Chen, Chun-Hao; Zhang, Yuyu (Journal article; Peer reviewed, 2019)
      Internet of Things (IoT) supports high flexibility and convenience in several applications because the IoT devices continuously transfer, share, and exchange data without human intervention. During shared or exchanged ...
    • A Scholarly Backcasting Approach to a Novel Model for Smart Sustainable Cities of the Future: Strategic Problem Orientation 

      Bibri, Simon Elias; Krogstie, John (Journal article; Peer reviewed, 2019)
      Sustainable cities have, since the early 1990s, been the leading global paradigm of urban planning and development thanks to the different models of sustainable urban form proposed as new frameworks for redesigning and ...
    • A Secure Random Key Distribution Scheme Against Node Replication Attacks in Industrial Wireless Sensor Systems 

      Li, Longpeng; Xu, Guangquan; Jiao, Litao; Li, Xiaotong; Wang, Hao; Hu, Jing; Xian, Hequn; Lian, Wenjuan; Gao, Honghao (Journal article; Peer reviewed, 2019)
      With the widely deployment of wireless sensor networks in smart industrial systems, lots of unauthorized attacking from the adversary is greatly threating the security and privacy of the entire industrial systems, of which ...
    • A Self-Adaptive Process Mining Algorithm Based on Information Entropy to Deal with Uncertain Data 

      Li, Weimin; Fan, Yuting; Liu, Wei; Xin, Minjun; Wang, Hao; Jin, Qun (Journal article; Peer reviewed, 2019)
      Process mining is a technology to gain knowledge of the business process by using the event logs and achieve a model of the process, which contributes to the detection and improvement of the business process. However, most ...
    • A sensor-data-based denoising framework for hyperspectral images 

      Deger, Ferdinand; Mansouri, Alamin; Pedersen, Marius; Hardeberg, Jon Yngve; Voisin, Yvon (Journal article; Peer reviewed, 2015)
      Many denoising approaches extend image processing to a hyperspectral cube structure, but do not take into account a sensor model nor the format of the recording. We propose a denoising framework for hyperspectral images ...
    • A short-activating RNA oligonucleotide targeting the islet β-cell transcriptional factor MafA in CD34(+) cells 

      Reebye, Vikash; Sætrom, Pål; Mintz, Paul J; Rossi, JJ; Kasahara, Noriyuki; Nteliopoulos, G; Nicholls, Joanna P; Haoudi, Abdelali; Gordon, Myrtle YA; Habib, Nagy A (Journal article; Peer reviewed, 2013)
      Upon functional loss of insulin producing islet β-cells, some patients with diabetes become dependent on life-long insulin supplementation therapy. Bioengineering surrogate insulin producing cells is an alternative replacement ...
    • A Smart City Adoption Model to Improve Sustainable Living 

      Bokolo, Anthony Junior; Petersen, Sobah Abbas (Journal article; Peer reviewed, 2019)
      In recent years, there has been a growing trend of large population of people moving towards urban living. As estimated that by 2030 more than 60 percent of the world population will live in urban geographical location, ...
    • A spatio-temporal recurrent network for salmon feeding action recognition from underwater videos in aquaculture 

      Måløy, Håkon; Aamodt, Agnar; Misimi, Ekrem (Journal article; Peer reviewed, 2019)
      Recent developments have shown that Deep Learning approaches are well suited for Human Action Recognition. On the other hand, the application of deep learning for action or behaviour recognition in other domains such as ...
    • A Spectral Filter Array Camera for Clinical Monitoring and Diagnosis: Proof of Concept for Skin Oxygenation Imaging 

      Bauer, Jacob Renzo; Bruins, Arnoud A.; Hardeberg, Jon Yngve; Verdaasdonk, Rudolf (Journal article; Peer reviewed, 2019)
      The emerging technology of spectral filter array (SFA) cameras has great potential forclinical applications, due to its unique capability for real time spectral imaging, at a reasonable cost.This makes such cameras ...
    • A Study on Sensitive Bands of EEG Data under Different Mental Workloads 

      Qu, Hongquan; Fan, Zhanli; Cao, Shuqin; Pang, Liping; Wang, Hao; Zhang, Jie (Journal article; Peer reviewed, 2019)
      Electroencephalogram (EEG) signals contain a lot of human body performance information. With the development of the brain–computer interface (BCI) technology, many researchers have used the feature extraction and classification ...
    • A Survey of Deep Learning Techniques: Application in Wind and Solar Energy Resources 

      Shamshirband, Shahab (Journal article; Peer reviewed, 2019)
      Nowadays, learning-based modeling system is adopted to establish an accurate prediction model for renewable energy resources. Computational Intelligence (CI) methods have become significant tools in production and optimization ...
    • A Survey of Stereoscopic 3D Just Noticeable Difference Models 

      Fan, Yu; Larabi, Mohamed-Chaker; Alaya Cheikh, Faouzi; Fernandez-Maloigne, Christine (Journal article; Peer reviewed, 2019)
      Just noticeable difference (JND) for stereoscopic 3D content reflects the maximum tolerable distortion; it corresponds to the visibility threshold of the asymmetric distortions in the left and right contents. The 3D-JND ...
    • A Survey on Urban Traffic Anomalies Detection Algorithms 

      Djenouri, Youcef; Belhadi, Asma; Lin, Chun Wei; Djenouri, Djamel; Cano, Alberto (Journal article; Peer reviewed, 2019)
      This paper reviews the use of outlier detection approaches in urban traffic analysis. We divide existing solutions into two main categories: flow outlier detection and trajectory outlier detection. The first category groups ...
    • A Systematic Mapping Study on Requirements Engineering in Software Ecosystems 

      Vegendla, Aparna; Nguyen Duc, Anh; Gao, Shang; Sindre, Guttorm (Journal article; Peer reviewed, 2018)
      Software ecosystems (SECOs) and open innovation processes have been claimed as a way forward for the software industry. A proper understanding of requirements is as important for SECOs as for more traditional ones. This ...