| 1. |
- Bhardwaj, Anshuman, et al.
(author)
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A review on remotely sensed land surface temperature anomaly as an earthquake precursor
- 2017
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In: International Journal of Applied Earth Observation and Geoinformation. - : Elsevier. - 1569-8432 .- 1872-826X. ; 63, s. 158-166
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Journal article (peer-reviewed)abstract
- The low predictability of earthquakes and the high uncertainty associated with their forecasts make earthquakes one of the worst natural calamities, capable of causing instant loss of life and property. Here, we discuss the studies reporting the observed anomalies in the satellite-derived Land Surface Temperature (LST) before an earthquake. We compile the conclusions of these studies and evaluate the use of remotely sensed LST anomalies as precursors of earthquakes. The arrival times and the amplitudes of the anomalies vary widely, thus making it difficult to consider them as universal markers to issue earthquake warnings. Based on the randomness in the observations of these precursors, we support employing a global-scale monitoring system to detect statistically robust anomalous geophysical signals prior to earthquakes before considering them as definite precursors.
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| 2. |
- Gangwar, Abhishek, et al.
(author)
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IrisSeg : A Fast and Robust Iris Segmentation Framework for Non-Ideal Iris Images
- 2016
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In: 2016 INTERNATIONAL CONFERENCE ON BIOMETRICS (ICB). - Piscataway : IEEE. - 9781509018697
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Conference paper (peer-reviewed)abstract
- This paper presents a state-of-the-art iris segmentation framework specifically for non-ideal irises. The framework adopts coarse-to-fine strategy to localize different boundaries. In the approach, pupil is coarsely detected using an iterative search method exploiting dynamic thresholding and multiple local cues. The limbic boundary is first approximated in polar space using adaptive filters and then refined in Cartesianspace. The framework is quite robust and unlike the previously reported works, does notrequire tuning of parameters for different databases. The segmentation accuracy (SA) is evaluated using well known measures; precision, recall and F-measure, using the publicly available ground truth data for challenging iris databases; CASIAV4-Interval, ND-IRIS-0405, and IITD. In addition, the approach is also evaluated on highly challenging periocular images of FOCS database. The validity of proposed framework is also ascertained by providing comprehensive comparisons with classical approaches as well asstate-of-the-art methods such as; CAHT, WAHET, IFFP, GST and Osiris v4.1. The results demonstrate that our approach provides significant improvements in segmentation accuracy as well as in recognition performance that too with lower computational complexity. © 2016 IEEE.
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| 3. |
- Joshi, Hemant, et al.
(author)
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Impact of microbial genomics approaches for novel antibiotic target
- 2019
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In: Microbial genomics in sustainable agroecosystems. - Singapore : Springer. - 9789813298606 - 9789813298590 ; , s. 75-88
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Book chapter (peer-reviewed)abstract
- Infectious diseases are life-threatening and may lead to high mortality and morbidity rates. The existing danger of an increase and spread of multidrug resistance pathogens is a global concern. Therefore, the designing of novel antibiotics and vaccine to control and eliminate the disease is an utmost requirement. Traditional approaches for screening vaccine and drug targets are time-consuming and have been unsuccessful in controlling the spread of infectious diseases due to several reasons such as altered antigenic diversity, altered virulence potential, and antimicrobial resistance in the infectious agent population. To overcome this problem, there has been a paradigm shift from the conventional to microbial genomics approaches, as the availability of complete genome sequence of pathogenic microorganisms and multiple isolates of the same species provides a wealth of information on nearly all the potential drug targets. Microbial genomics approaches open up new avenues to pursuit novel antimicrobial agents that are highly conserved in a range of microbes, essential for the survival of pathogens and absent in humans. In this chapter, we present an overview of the microbial genomics approaches such as pan-genomics, comparative genomics, functional genomics, structural genomics, transcriptomics, and proteomics used in the discovery and development of novel antibiotics.
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| 4. |
- Pecunia, Vincenzo, et al.
(author)
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Roadmap on energy harvesting materials
- 2023
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In: Journal of Physics. - : IOP Publishing. - 2515-7639. ; 6:4
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Journal article (peer-reviewed)abstract
- Ambient energy harvesting has great potential to contribute to sustainable development and address growing environmental challenges. Converting waste energy from energy-intensive processes and systems (e.g. combustion engines and furnaces) is crucial to reducing their environmental impact and achieving net-zero emissions. Compact energy harvesters will also be key to powering the exponentially growing smart devices ecosystem that is part of the Internet of Things, thus enabling futuristic applications that can improve our quality of life (e.g. smart homes, smart cities, smart manufacturing, and smart healthcare). To achieve these goals, innovative materials are needed to efficiently convert ambient energy into electricity through various physical mechanisms, such as the photovoltaic effect, thermoelectricity, piezoelectricity, triboelectricity, and radiofrequency wireless power transfer. By bringing together the perspectives of experts in various types of energy harvesting materials, this Roadmap provides extensive insights into recent advances and present challenges in the field. Additionally, the Roadmap analyses the key performance metrics of these technologies in relation to their ultimate energy conversion limits. Building on these insights, the Roadmap outlines promising directions for future research to fully harness the potential of energy harvesting materials for green energy anytime, anywhere.
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| 5. |
- Zhang, Man, et al.
(author)
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The First ICB Competition on Iris Recognition
- 2014
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In: 2014 IEEE International Joint Conference on Biometrics (IJCB). - Piscataway, NJ : IEEE Press. - 9781479935840
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Conference paper (peer-reviewed)abstract
- Iris recognition becomes an important technology in our society. Visual patterns of human iris provide rich texture information for personal identification. However, it is greatly challenging to match intra-class iris images with large variations in unconstrained environments because of noises, illumination variation, heterogeneity and so on. To track current state-of-the-art algorithms in iris recognition, we organized the first ICB∗ Competition on Iris Recognition in 2013 (or ICIR2013 shortly). In this competition, 8 participants from 6 countries submitted 13 algorithms totally. All the algorithms were trained on a public database (e.g. CASIA-Iris-Thousand [3]) and evaluated on an unpublished database. The testing results in terms of False Non-match Rate (FNMR) when False Match Rate (FMR) is 0.0001 are taken to rank the submitted algorithms. © 2014 IEEE.
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