Relevant bibliographies by topics / Radon Features

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Radon Features'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "Radon Features"

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Gordon, Kelsey, Paul Terry, Xingxing Liu, et al. "Radon in Schools: A Brief Review of State Laws and Regulations in the United States." International Journal of Environmental Research and Public Health 15, no. 10 (2018): 2149. http://dx.doi.org/10.3390/ijerph15102149.

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Exposure to Radon, a colorless, naturally occurring radioactive gas, is one of leading causes of lung cancer, and may pose a significant long-term risk for school age children. We examined the regulations and statutes in each US state related to radon in schools to delineate key features of policies and discrepancies among states that may have public health implications. Search terms such as “radon”, “school”, “mitigation”, “certification”, “licensing”, and “radon resistant new construction” were used to scan current statutes from each state legislature’s website and regulations from official
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Yazzie, Sheldwin A., Scott Davis, Noah Seixas, and Michael G. Yost. "Assessing the Impact of Housing Features and Environmental Factors on Home Indoor Radon Concentration Levels on the Navajo Nation." International Journal of Environmental Research and Public Health 17, no. 8 (2020): 2813. http://dx.doi.org/10.3390/ijerph17082813.

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Uranium is naturally found in the environment as a radioactive metal element with high concentrations in the Southwestern US. In this region is the Navajo Nation, which spans approximately 69,930 square kilometers. A decay product of uranium is radon gas, a lung carcinogen that has no color, odor, or taste. Radon gas may pass from soil into homes; and, indoor accumulation has been associated with geographical location, seasonality, home construction materials, and home ventilation. A home and indoor radon survey was conducted from November 2014 through May 2015, with volunteers who reported re
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Zheng, Xia, Wei Wei, Houbing Song, and Wei Li. "Sealing Clay Text Segmentation Based on Radon-Like Features and Adaptive Enhancement Filters." Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/983601.

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Text extraction is a key issue in sealing clay research. The traditional method based on rubbings increases the risk of sealing clay damage and is unfavorable to sealing clay protection. Therefore, using digital image of sealing clay, a new method for text segmentation based on Radon-like features and adaptive enhancement filters is proposed in this paper. First, adaptive enhancement LM filter bank is used to get the maximum energy image; second, the edge image of the maximum energy image is calculated; finally, Radon-like feature images are generated by combining maximum energy image and its
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Guo, Hongjun, and Lili Chen. "An Image Similarity Invariant Feature Extraction Method Based on Radon Transform." International Journal of Circuits, Systems and Signal Processing 15 (April 8, 2021): 288–96. http://dx.doi.org/10.46300/9106.2021.15.33.

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With the advancements of computer technology, image recognition technology has been more and more widely applied and feature extraction is a core problem of image recognition. In study, image recognition classifies the processed image and identifies the category it belongs to. By selecting the feature to be extracted, it measures the necessary parameters and classifies according to the result. For better recognition, it needs to conduct structural analysis and image description of the entire image and enhance image understanding through multi-object structural relationship. The essence of Rado
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Khorzova, L. I., O. S. Vlasova, N. Yu Klimenti, S. I. Golubeva, and D. V. Tekushin. "Specific regional features of radon activity in environmental objects and indoor spaces in the Volgograd region." IOP Conference Series: Earth and Environmental Science 1061, no. 1 (2022): 012018. http://dx.doi.org/10.1088/1755-1315/1061/1/012018.

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Abstract The protection and preservation of human health under present-day conditions of high urbanization rate is one of the priority tasks of contemporary construction. And here, the environmental safety of the residential buildings to be constructed is one of the most important factors. It is significantly affected by ionizing radiation for which radioactive radon gas is one of the sources. The level of public exposure depends on the concentration of radon in the aerial environment of outdoor territories and indoor spaces. The article considers the radon-related characteristics of the terri
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DESAI, BN. "Possible Radon concentration over the Indian Seas during the southwest monsoon season on the basis of climatic features of the area and utilization of the of the Radon results for identifying air masses." MAUSAM 20, no. 3 (2022): 253–56. http://dx.doi.org/10.54302/mausam.v20i3.5454.

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Important climatic features during the southwest monsoon season over the north Indian Ocean, the Arabian Sea and the Bay of Bengal have been described, and on the basic of ama's results that the southeast trades air is poor and the continental air rich in radon, possible concentration of radon over the area has been discussed. It is considered that radon results should be interpreted taking into account the prevailing synoptic features as ordinarily pure air masses may not be present over the Indian Seas north of the equator.
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Yang, Jianwei, Liang Zhang, and Peiyao Li. "Radon–Fourier descriptor for invariant pattern recognition." International Journal of Wavelets, Multiresolution and Information Processing 17, no. 02 (2019): 1940004. http://dx.doi.org/10.1142/s0219691319400046.

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Radon transform is not only robust to noise, but also independent on the calculation of pattern centroid. In this paper, Radon–Mellin transform (RMT), which is a combination of Radon transform and Mellin transform, is proposed to extract invariant features. RMT converts any object into a closed curve. Radon–Fourier descriptor (RFD) is derived by applying Fourier descriptor to the obtained closed curve. The obtained RFD is invariant to scaling and rotation. (Generic) R-transform and some other Radon-based methods can be viewed as special cases of the proposed method. Experiments are conducted o
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Sykes, Michael P., and Umesh C. Das. "Directional filtering for linear feature enhancement in geophysical maps." GEOPHYSICS 65, no. 6 (2000): 1758–68. http://dx.doi.org/10.1190/1.1444860.

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Geophysical maps of data acquired in ground and airborne surveys are extensively used for mineral, groundwater, and petroleum exploration. Lineaments in these maps are often indicative of contacts, basement faulting, and other tectonic features of interest. To aid the interpretation of these maps, a versatile processing technique of directional filtering, based on the 2-D “normal” Radon transform, is used to enhance or suppress specific lineaments. Synthetic data and field examples using electromagnetic and radiometric data are used to demonstrate the superiority of the Radon transform method
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SANTOSH, K. C., BART LAMIROY, and LAURENT WENDLING. "DTW–RADON-BASED SHAPE DESCRIPTOR FOR PATTERN RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 27, no. 03 (2013): 1350008. http://dx.doi.org/10.1142/s0218001413500080.

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In this paper, we present a pattern recognition method that uses dynamic programming for the alignment of Radon features. The key characteristic of the method is to use dynamic time warping (DTW) to match corresponding pairs of the Radon features for all possible projections. Thanks to DTW, we avoid compressing the feature matrix into a single vector which would otherwise miss information. To reduce the possible number of matchings, we rely on a initial normalization based on the pattern orientation. A comprehensive study is made using major state-of-the-art shape descriptors over several publ
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Leshukov, Timofey, Aleksey Larionov, Ekaterina Nastavko, Philipp Kaizer, and Konstantin Legoshchin. "Features of Degassing from Overburden Rock Massifs: A Case Study Using Radon." Earth 5, no. 1 (2023): 1–19. http://dx.doi.org/10.3390/earth5010001.

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Overburden rock massifs resulting from open-pit coal mining are very common objects in the world’s mining regions. These locations pose a significant challenge as the global mining industry expands. These dumps are capable of self-burning for quite a long time. The displacement and sliding of these massifs can cause catastrophic consequences. In addition, these objects emit a significant amount of greenhouse gases into the atmosphere. Therefore, it is necessary to manage such objects and implement appropriate measures to limit their impact on the environment. In this work, we studied soil rado
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Dissertations / Theses on the topic "Radon Features"

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K, C. Santosh. "Graphics Recognition using Spatial Relations and Shape Analysis." Thesis, Vandoeuvre-les-Nancy, INPL, 2011. http://www.theses.fr/2011INPL096N/document.

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Dans l’état de l’art actuel, la reconnaissance de symboles signifie généralement la reconnaissance des symboles isolés. Cependant, ces méthodes de reconnaissance de symboles isolés ne sont pas toujours adaptés pour résoudre les problèmes du monde réel. Dans le cas des documents composites qui contiennent des éléments textuels et graphiques, on doit être capable d’extraire et de formaliser les liens qui existent entre les images et le texte environnant, afin d’exploiter les informations incorporées dans ces documents.Liés à ce contexte, nous avons d’abord introduit une méthode de reconnaissance
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K, C. Santosh. "Graphics Recognition using Spatial Relations and Shape Analysis." Electronic Thesis or Diss., Vandoeuvre-les-Nancy, INPL, 2011. http://www.theses.fr/2011INPL096N.

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Dans l’état de l’art actuel, la reconnaissance de symboles signifie généralement la reconnaissance des symboles isolés. Cependant, ces méthodes de reconnaissance de symboles isolés ne sont pas toujours adaptés pour résoudre les problèmes du monde réel. Dans le cas des documents composites qui contiennent des éléments textuels et graphiques, on doit être capable d’extraire et de formaliser les liens qui existent entre les images et le texte environnant, afin d’exploiter les informations incorporées dans ces documents.Liés à ce contexte, nous avons d’abord introduit une méthode de reconnaissance
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Moustafa, Moustafa Abdel-Azim. "Feature recognition using a fast radon transform-based computer vision system." Thesis, Cranfield University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305610.

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Presti, G. "SIGNAL TRANSFORMATIONS FOR IMPROVING INFORMATION REPRESENTATION, FEATURE EXTRACTION AND SOURCE SEPARATION." Doctoral thesis, Università degli Studi di Milano, 2017. http://hdl.handle.net/2434/470676.

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Questa tesi riguarda nuovi metodi di rappresentazione del segnale nel dominio tempo-frequenza, tali da mostrare le informazioni ricercate come dimensioni esplicite di un nuovo spazio. In particolare due trasformate sono introdotte: lo Spazio di Miscelazione Bivariato (Bivariate Mixture Space) e il Campo della Struttura Spettro-Temporale (Spectro-Temporal Structure-Field). La prima trasformata mira a evidenziare le componenti latenti di un segnale bivariato basandosi sul comportamento di ogni componente frequenziale (ad esempio a fini di separazione delle sorgenti); la seconda trasformata mira
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Books on the topic "Radon Features"

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B, Holt Rodger, Rogers V. C. 1941-, and National Risk Management Research Laboratory (U.S.), eds. Residential Radon Resistant Construction Features Selection System: Final Report. U.S. Environmental Protection Agency, Office of Research and Development, 1996.

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E, McDonough Susan, Williamson Ashley D, and National Risk Management Research Laboratory (U.S.), eds. Effectiveness of radon control features in new house construction [in] south central Florida. U.S. Environmental Protection Agency, Office of Research and Development, 1996.

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McNally & co. [from old catalog] Rand. Miami/Ft. Lauderdale and vicinity, Florida, map: Including Boca Raton, Coral Gables ... with special feature, the Florida Keys. Rand McNally Map Services Co. [distributor], 1990.

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Méndez-Méndez, Serafín, and Ronald Fernández. Puerto Rico Past and Present. 2nd ed. ABC-CLIO, LLC, 2015. http://dx.doi.org/10.5040/9798216003298.

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Recently revised to include the latest current events, this classic reference presents the historical, social, political, and cultural aspects of Puerto Rico. Puerto Rico, an island rich with culture and national pride, continues to inspire debate over its designation as a commonwealth of the United States. This updated edition of a popular encyclopedia captures important historical, social, political, and cultural developments of the oldest colony in the world, up to and including the region's current status in relation to the United States. The fascinating work is full of facts, figures, and
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Book chapters on the topic "Radon Features"

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Angadi, S. A., and Hemavati C. Purad. "Exploiting Radon Features for Image Retrieval." In Communications in Computer and Information Science. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0493-5_13.

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Sangha, Ratinder Kaur, and Preeti Rai. "An Appearance-Based Gender Classification Using Radon Features." In Data, Engineering and Applications. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6347-4_15.

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Günay, Asuman, and Vasif V. Nabiyev. "Age Estimation Based on Local Radon Features of Facial Images." In Computer and Information Sciences III. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4594-3_19.

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K.C., Santosh, Bart Lamiroy, and Laurent Wendling. "DTW for Matching Radon Features: A Pattern Recognition and Retrieval Method." In Advanced Concepts for Intelligent Vision Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23687-7_23.

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Kong, Jun, Xinyue Liu, YingHua Lu, Xiaofeng Zhou, and Qiushi Zhao. "Robust License Plate Segmentation Method Based on Texture Features and Radon Transform." In AI 2005: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11589990_53.

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Zou, Beiji, Qilin Chen, Rongchang Zhao, Pingbo Ouyang, Chengzhang Zhu, and Xuanchu Duan. "An Approach for Glaucoma Detection Based on the Features Representation in Radon Domain." In Intelligent Computing Theories and Application. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95933-7_32.

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Seyedhosseini, Mojtaba, Ritwik Kumar, Elizabeth Jurrus, et al. "Detection of Neuron Membranes in Electron Microscopy Images Using Multi-scale Context and Radon-Like Features." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23623-5_84.

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Chen, Guang Yi, and Wen Fang Xie. "Feature Extraction with Radon Transform for Block Matching and 3D Filtering." In Intelligent Computing Theories and Application. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42294-7_36.

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Sable, Ganesh S., and Minakshi R. Rajput. "Radon and Multiwavelet-Based Compact Feature Vector Generation for Gender Identification from Iris." In Advances in Intelligent Systems and Computing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9515-5_4.

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Hlindzich, D., and R. Maenner. "Medical feature matching and model extraction from MRI/CT based on the Invariant Generalized Hough/Radon Transform." In IFMBE Proceedings. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89208-3_145.

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Conference papers on the topic "Radon Features"

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Gonzalez, Ruben. "Radon-based Audio Classification Features." In 2012 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2012. http://dx.doi.org/10.1109/icme.2012.155.

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Jeong, Namin, David W. Rosen, and Yan Wang. "A Comparison of Surfacelet-Based Methods for Recognizing Linear Geometric Features in Material Microstructure." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13370.

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Integration of material information and mechanical properties with geometry enables many product development activities, including design, analysis, and manufacturing. To integrate material information into CAD systems, geometric features of material microstructure must be recognized and represented, which is the focus of this paper. Linear microstructure features, such as fibers or grain boundaries, can be found computationally from microstructure images using surfacelet based methods, which include the Radon or Radon-like transform followed by a wavelet transform. By finding peaks in the tra
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Kumar, Ritwik, Amelio Vazquez-Reina, and Hanspeter Pfister. "Radon-Like features and their application to connectomics." In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops). IEEE, 2010. http://dx.doi.org/10.1109/cvprw.2010.5543594.

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Paul, Madhumita, Subham Tulshan, Ram Kumar Karsh, and F. A. Talukdar. "Image Authentication using Radon Transform and Local Features." In 2020 Advanced Communication Technologies and Signal Processing (ACTS). IEEE, 2020. http://dx.doi.org/10.1109/acts49415.2020.9350401.

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Zhu, Shujin, and H. R. Tizhoosh. "Radon features and barcodes for medical image retrieval via SVM." In 2016 International Joint Conference on Neural Networks (IJCNN). IEEE, 2016. http://dx.doi.org/10.1109/ijcnn.2016.7727867.

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Mansour, Osama E., Shahnaz Aly, and Peter Hall. "Revisiting the Building Design Attributes and Indoor Radon: A Survey of 36 Homes in the Commonwealth of Kentucky." In The 2nd International Conference on Civil Infrastructure and Construction. Qatar University Press, 2023. http://dx.doi.org/10.29117/cic.2023.0143.

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Radon is an odorless radioactive gas that exists in the soil underneath buildings in areas that is rich in Radium and Uranium. It seeps from the soil and accumulates in the indoor environment. In 2009, radon gas has been classified by the International Agency for Research on Cancer as being carcinogenic to humans. According to the US Environmental Protection Agency (EPA), indoor radon is the second leading cause of lung cancer after smoking in the United States. EPA recommends homeowners mitigate their houses against radon if the indoor radon concentration exceeds 4 pCi/L. Building new healthy
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Liu, Jun, and Clayton V. Stewart. "Detection of linear features in images using Radon and Hough transforms." In SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, edited by Ivan Kadar and Vibeke Libby. SPIE, 1994. http://dx.doi.org/10.1117/12.177739.

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Kim, Myung Jong, and Hoirin Kim. "Automatic extraction of pornographic contents using radon transform based audio features." In 2011 9th International Workshop on Content-Based Multimedia Indexing (CBMI). IEEE, 2011. http://dx.doi.org/10.1109/cbmi.2011.5972546.

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Copeland, Ravichandran, and Trivedi. "Localized Radon transform-based detection of linear features in noisy images." In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. IEEE Comput. Soc. Press, 1994. http://dx.doi.org/10.1109/cvpr.1994.323782.

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Lebedev, Vladimir, Sergey Stefanovsky, Alexander Kobelev, Fyodor Lifanov, and Sergey Dmitriev. "Adaptation of CCIM Technology for HLW Treatment: Results of Research and Development." In ASME 2010 13th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2010. http://dx.doi.org/10.1115/icem2010-40265.

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Results of feasibility tests of application of Cold Crucible Inductive Melting (CCIM) technology to high level waste (HLW) treatment on examples of Savannah River Site, USA, and PA “Mayak”, Russia, HLW, carried out at SIA Radon, and results of design of new perspective bench-scale HLW vitrification facility are presented in this report. Full-scale low level waste (LLW) vitrification plant is under operation at Radon since 2003. Successful Radon experience aroused an interest to this technology from US DOE. Since 2001 Radon performed tests on vitrification of surrogates of various types of HLW
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