Fakultet for naturvitenskap og teknologi: Nye registreringer
Viser treff 2801-2820 av 5336
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Context Centric Approach of Semantic Image Annotation and Retrieval
(Doctoral thesis; Doktorgradsavhandling, 2020-03-27)This thesis proposes a novel approach to explore and extract context information attached with images, mainly gathered from social network sites. I first performed a user study, to understand the user behavior on social network sites. I inferred that the relationship among users have central importance.<p> <p>To assist users to annotate images in social network, I use existing metadata gathered ... -
Reconstruction of past and present methane emission in the Arctic cold seeps using biogeochemical proxies
(Doctoral thesis; Doktorgradsavhandling, 2020-03-26)Global warming is now highly concerned by society as extreme weather is more often than ever, and the Arctic is experiencing warming twice as fast as the global mean. A large amount of carbon is stored in the forms of methane and methane hydrate in the continental margins worldwide. Methane is the most predominant gaseous compound in natural gas hydrate, which is stable under low temperature and ... -
Direct growth of single-layer terminated vertical graphene array on germanium by plasma enhanced chemical vapor deposition
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-08-26)Vertically aligned graphene nanosheet arrays (VAGNAs) exhibit large surface area, excellent electron transport properties, outstanding mechanical strength, high chemical stability, and enhanced electrochemical activity, which makes them highly promising for application in supercapacitors, batteries, fuel cell catalysts, etc. It is shown that VAGNAs terminated with a high-quality single-layer graphene ... -
Unsupervised Feature Extraction – A CNN-Based Approach
(Peer reviewed; Book; Chapter, 2019-05-12)Working with large quantities of digital images can often lead to prohibitive computational challenges due to their massive number of pixels and high dimensionality. The extraction of compressed vectorial representations from images is therefore a task of vital importance in the field of computer vision. In this paper, we propose a new architecture for extracting such features from images in an ... -
The 3‐D Distribution of Artificial Aurora Induced by HF Radio Waves in the Ionosphere
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-03-21)We present 3‐D excitation rate estimates of artificial aurora in the ionospheric F layer, induced by high‐frequency radio waves from the European Incoherent Scatter heating facility. Simultaneous imaging of the artificial aurora was done with four separate Auroral Large Imaging System stations, permitting tomography‐like 3‐D auroral reconstruction of the enhanced atomic oxygen emissions at 6,300, ... -
The Case for Combining a Large Low‐Band Very High Frequency Transmitter With Multiple Receiving Arrays for Geospace Research: A Geospace Radar
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-07-09)We argue that combining a high‐power, large‐aperture radar transmitter with several large‐aperture receiving arrays to make a geospace radar—a radar capable of probing near‐Earth space from the upper troposphere through to the solar corona—would transform geospace research. We review the emergence of incoherent scatter radar in the 1960s as an agent that unified early, pioneering research in geospace ... -
Amino acid racemization in Quaternary foraminifera from the Yermak Plateau, Arctic Ocean
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-11-18)Amino acid racemization (AAR) geochronology is a powerful tool for dating Quaternary marine sediments across the globe, yet its application to Arctic Ocean sediments has been limited. Anomalous rates of AAR in foraminifera from the central Arctic were reported in previously published studies, indicating that either the rate of racemization is higher in this area, or inaccurate age models were used ... -
Unsupervised Image Regression for Heterogeneous Change Detection
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-08-14)Change detection (CD) in heterogeneous multitemporal satellite images is an emerging and challenging topic in remote sensing. In particular, one of the main challenges is to tackle the problem in an unsupervised manner. In this paper, we propose an unsupervised framework for bitemporal heterogeneous CD based on the comparison of affinity matrices and image regression. First, our method quantifies ... -
Deep divergence-based approach to clustering
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-02-08)A promising direction in deep learning research consists in learning representations and simultaneously discovering cluster structure in unlabeled data by optimizing a discriminative loss function. As opposed to supervised deep learning, this line of research is in its infancy, and how to design and optimize suitable loss functions to train deep neural networks for clustering is still an open question. ... -
High-concentration photovoltaics for dual-use with agriculture
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-08-28)This study assesses the potential of transparent, tracking-integrated CPV to facilitate more effective dual-use of land for simultaneous agricultural and solar energy production. The concept leverages on the fact that a concentration system is a natural light splitter, separating direct solar radiation from the diffuse. Therefore a transparent CPV module using multijunction solar cells can generate ... -
Episodically Active Asteroid 6478 Gault
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-05-06)We present imaging and spectroscopic observations of 6478 Gault, a ~6 km diameter inner main-belt asteroid currently exhibiting strong, comet-like characteristics. Three distinct tails indicate that ultra-slow dust (ejection speed 0.15 ± 0.05 m s−1) was emitted from Gault in separate episodes beginning UT 2018 October 28 ± 5 (Tail A), UT 2018 December 31 ± 5 (Tail B), and UT 2019 February 10 ± 7 ... -
Adaptive fluctuation imaging captures rapid subcellular dynamics
(Journal article; Tidsskriftartikkel, 2019-07-22)In this work we have explored the live-cell friendly nanoscopy method Multiple Signal Classification Algorithm (MUSICAL) for multi-colour imaging of various organelles and sub-cellular structures in the cardiomyoblast cell line H2c9. We have tested MUSICAL for fast (up to 230Hz), multi-colour time-lapse sequences of various sub-cellular structures (mitochondria, endoplasmic reticulum, microtubules, ... -
Origin and transformation of light hydrocarbons ascending at an active pockmark on Vestnesa Ridge, Arctic Ocean
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-10-25)We report on the geochemistry of hydrocarbons and pore waters down to 62.5 mbsf, collected by drilling with the MARUM‐MeBo70 and by gravity coring at the Lunde pockmark in the Vestnesa Ridge. Our data document the origin and transformations of volatiles feeding gas emissions previously documented in this region. Gas hydrates are present where a fracture network beneath the pockmark focusses migration ... -
Multiple sulfur isotopes in methane seep carbonates track unsteady sulfur cycling during anaerobic methane oxidation
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-12-19)The anaerobic oxidation of methane coupled with sulfate reduction (AOM-SR) is a major microbially-mediated methane consuming process in marine sediments including methane seeps. The AOM-SR can lead to the formation of methane-derived authigenic carbonates which entrap sulfide minerals (pyrite) and carbonate-associated sulfate (CAS). We studied the sulfur isotope compositions of the pyrite and CAS ... -
SoCodeCNN: Program Source Code for Visual CNN Classification Using Computer Vision Methodology
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-10-24)Automated feature extraction from program source-code such that proper computing resources could be allocated to the program is very difficult given the current state of technology. Therefore, conventional methods call for skilled human intervention in order to achieve the task of feature extraction from programs. This research is the first to propose a novel human-inspired approach to automatically ... -
Subauroral and polar traveling ionospheric disturbances during 7-9 September 2017 storms
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-12-25)This study provides new scenarios for storm time traveling ionospheric disturbance excitation and subsequent propagation at subauroral and polar latitudes. We used ground‐based total electron content observations from Global Navigation Satellite System receivers combined with wide field, subauroral ionospheric plasma parameters measured with the Millstone Hill Incoherent Scatter Radar during strong ... -
A Miocene age for the Molo Formation, Norwegian Sea shelf off Vestfjorden, based on marine palynology
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-12-10)Seven side-wall core samples from the lower part of the Molo Formation in exploration well 6610/3–1 off Vestfjorden/Lofoten have been reanalysed for marine palynomorphs. Description of new species from other studies and access to reference successions from nearby sites with an independent chronostratigraphy have enabled a more reliable depositional age constraint for the Molo Formation in its ... -
The Discus Comet: C/2014 B1 (Schwartz)
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-02-08)Long-period comet C/2014 B1 (Schwartz) exhibits a remarkable optical appearance, like that of a discus or bi-convex lens viewed edgewise. Our measurements in the four years since discovery reveal a unique elongated dust coma whose orientation is stable with respect to the projected antisolar and orbital directions. With no tail and no trail, the limited influence of radiation pressure on the dust ... -
Machine learning assisted quantification of graphitic surfaces exposure to defined environments
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-06-17)We show that it is possible to submit the data obtained from physical phenomena as complex as the tip-surface interaction in atomic force microscopy to a specific question of interest and obtain the answer irrespective of the complexity or unknown factors underlying the phenomena. We showcase the power of the method by asking “how many hours has this graphite surface been exposed to ambient conditions?” ... -
A Novel Algorithm for Online Inexact String Matching and its FPGA Implementation
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-05-14)Among the basic cognitive skills of the biological brain in humans and other mammals, a fundamental one is the ability to recognize inexact patterns in a sequence of objects or events. Accelerating inexact string matching procedures is of utmost importance when dealing with practical applications where huge amounts of data must be processed in real time, as usual in bioinformatics or cybersecurity. ...