English
norskBlar i forfatter Artikler, rapporter og annet (automasjon og prosessteknologi) "Sharma, Puneet"
Viser treff 1-7 av 7
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Affordances for capturing and re-enacting expert performance with wearables
(Journal article; Tidsskriftartikkel; Peer reviewed, 2017-09-05)The WEKIT.one prototype is a platform for immersive procedural training with wearable sensors and Augmented Reality. Focusing on capture and re-enactment of human expertise, this work looks at the unique affordances of suitable hard- and software technologies. The practical challenges of interpreting expertise, using suitable sensors for its capture and specifying the means to describe and display ... -
Comparison of Deep Learning Models for the Classification of Noctilucent Cloud Images
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-05-10)Optically thin layers of tiny ice particles near the summer mesopause, known as noctilucent clouds, are of significant interest within the aeronomy and climate science communities. Groundbased optical cameras mounted at various locations in the arctic regions collect the dataset during favorable summer times. In this paper, first, we compare the performances of various deep learningbased image ... -
Dihedral Group D4 - A New Feature Extraction Algorithm
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-04-04)In this paper, we propose a new feature descriptor for images that is based on the dihedral group D<sub>4</sub> , the symmetry group of the square. The group action of the D<sub>4</sub> elements on a square image region is used to create a vector space that forms the basis for the feature vector. For the evaluation, we employed the Error-Correcting Output Coding (ECOC) algorithm and tested our model ... -
Dihedral Group D4—A New Feature Extraction Algorithm
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-04-04)In this paper, we propose a new feature descriptor for images that is based on the dihedral group D<sub>4</sub>, the symmetry group of the square. The group action of the D<sub>4</sub> elements on a square image region is used to create a vector space that forms the basis for the feature vector. For the evaluation, we employed the Error-Correcting Output Coding (ECOC) algorithm and tested our model ... -
Modeling Bottom-Up Visual Attention Using Dihedral Group D4
(Journal article; Tidsskriftartikkel; Peer reviewed, 2016-08-15)In this paper, first, we briefly describe the dihedral group D4 that serves as the basis for calculating saliency in our proposed model. Second, our saliency model makes two major changes in a latest state-of-the-art model known as group-based asymmetry. First, based on the properties of the dihedral group D4, we simplify the asymmetry calculations associated with the measurement of saliency. ... -
Towards a Framework for Noctilucent Cloud Analysis
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019)In this paper, we present a framework to study the spatial structure of noctilucent clouds formed by ice particles in the upper atmosphere at mid and high latitudes during summer. We studied noctilucent cloud activity in optical images taken from three different locations and under different atmospheric conditions. In order to identify and distinguish noctilucent cloud activity from other objects ... -
Using Deep Learning Methods for Segmenting Polar Mesospheric Summer Echoes
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-31)Polar mesospheric summer echoes (PMSE) are radar echoes that are observed in the mesosphere during the arctic summer months in the polar regions. By studying PMSE, researchers can gain insights into physical and chemical processes that occur in the upper atmosphere—specifically, in the 80 to 90 km altitude range. In this paper, we employ fully convolutional networks such as UNET and UNET++ for ...
