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122 results on '"Noise rate"'

1. Converting along-track photons into a point-region quadtree to assist with ICESat-2-based canopy cover and ground photon detection

Author

Huan Xie, Yuan Sun, Qi Xu, Binbin Li, Yalei Guo, Xiaoshuai Liu, Peiqi Huang, and Xiaohua Tong

Subjects
ICESat-2, PR quadtree, Noise rate, Signal photon, Earth observation, Physical geography, GB3-5030, Environmental sciences, GE1-350
Abstract

The advanced laser altimetry satellite—the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2)11 ICESat-2: Ice, Cloud, and land Elevation Satellite-2.—is a potentially feasible, rapid and effective tool for monitoring carbon cycle and carbon storage to support the sustainable development of Earth system at landscape-to-global scales. To assist with these scientific goals, accurate signal photon detection is required. In this study, we attempted to develop an effective ICESat-2-based signal detection algorithm for different land covers by converting the along-track photons into a point-region (PR)22 PR: point-region. quadtree. Firstly, we performed photon homogenization of the background photon. The total number of divisions in the process of converting the spatial distribution of the photons into a point-region quadtree was then calculated. Finally, the signal photons were detected with the appropriate thresholds. For complex woodland areas, the above steps should be performed twice. The results showed that the signal detection algorithm performs well in preserving signal photons and identifying noise photons. The value of F-measure (F)33 F: F-Measure. obtained at medium and low noise rates are all above 0.9. For more complex woodland areas, the strategy of calculating twice is helpful, giving a high-accuracy performance (F greater than 0.97). The proposed signal detection algorithm enriches an available reference for extracting signal photons from ICESat-2 altimetry data to meet the challenge of achieving carbon neutrality.

Published
2022
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2. Profiling effects of filtering noise labels on learning performance.

Author

Wu, ChienHsing, Kao, Shu-Chen, Hong, Rui-Qian, and Chen, Li-Hui

Abstract

• A prototype system is developed to profile outcomes of 50 filtering acceptance levels (FAL). • Experiments on 27 unsupervised and 29 supervised granulated datasets are conducted. • An algorithm is developed to separate noise labels using 50 FALS. • Experimental results using five classification-oriented classifiers are presented. • Effects of 50 FALs on classification performance are profiled and summarized. Deciding whether a label in a dataset is noisy or not depends on factors such as filtering levels, data patterns, relabeling policies, and pre-defined regulations. By focusing on filtering acceptance levels (FAL), a decision support model (named DSM-ENL) is proposed and implemented on real datasets that are granulated, dealing with noise label detection and profiling effects of 50 FALs (51 %–100 %) on noise rate (NoR), classification accuracy (CA), and area under ROC curve (AUC). A case used to demonstrate the DSM-ENL is illustrated, followed by experiments on 27 unsupervised and 29 supervised granulated datasets using five classifiers with 70 %–30 % training and testing criteria. The findings revealed that: (1) the best CAs among classifiers vary with FALs; (2) NoR, CA, and AUC oscillate as FAL increases; (3) lower FAL boundaries (from 0.51 to 0.60) are more likely to lead to higher CAs; and (4) correlation of coefficient among dataset characteristics, FAL, NoR, CA, and AUC are not high compared to that of CA and NoR and that of CA and AUC. The research demonstrates the value of profiling the effects of FALs applied for noise-label datasets on learning performance. [ABSTRACT FROM AUTHOR]

Published
2024
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5. Cryptography with Auxiliary Input and Trapdoor from Constant-Noise LPN

Author

Yu, Yu, Zhang, Jiang, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Robshaw, Matthew, editor, and Katz, Jonathan, editor

Published
2016
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9. Batch testing and noise rate optimization of MRPC3b for CBM-TOF/STAR-eTOF.

Author

Wang, K., Zhou, J., Wang, X., Li, X., Hu, D., and Sun, Y.

Subjects
*GLASS electrodes, *COMPUTER engineering, *COMPUTER simulation, *TEST design, *SPECTROMETERS
Abstract

The Compressed Baryonic Matter (CBM) experiment is one of the major scientific spectrometers of the future Facility for Antiproton and Ion Research (FAIR) in Darmstadt. As one of the core sub-systems in CBM experiment for charged hadron identification, the Time-of-Flight (TOF) system is required to have a time resolution better than 80 ps. According to the final state particle flux distribution, the CBM-TOF will be constructed with several types of Multi-gap Resistive Plate Chambers (MRPC). In the outer region of the TOF wall where the particle fluxes are around 1 kHz/cm2, MRPCs with ultra-thin float glass electrodes are considered as a cost effective solution. MRPC3b prototypes have been developed and tested with excellent performance which could meet all the requirements. Before the construction of CBM-TOF, approximately 80 MRPC3bs are assembled for the STAR endcap TOF (STAR-eTOF) upgrade at RHIC as part of the FAIR Phase-0 programs for CBM-TOF which provides a valuable opportunity for detector stability test under high flux environments. This paper will introduce the batch test of the MRPC3bs for STAR-eTOF upgrade. Time resolution of better than 70 ps and efficiency of around 95% are achieved. Notably, during the batch test, it has been observed that the noise rates of the two edge strips in each counter are significantly higher than those of the middle strips. Simulations with Computer Simulation Technology (CST) Studio Suite are carried out and several kinds of MRPC prototypes are designed and tested accordingly. Based on the simulation and test results, the design of the MRPC3b has been further optimized by modify the shape and position of High-Voltage injection pad and increasing the distance between the glass edge and both end strips, resulting in a significant suppression of noise rates in the edge strips. [ABSTRACT FROM AUTHOR]

Published
2023
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10. Automated Classification of C&C Connections Through Malware URL Clustering

Author

Kheir, Nizar, Blanc, Gregory, Debar, Hervé, Garcia-Alfaro, Joaquin, Yang, Dingqi, Rannenberg, Kai, Editor-in-chief, Sakarovitch, Jacques, Series editor, Goedicke, Michael, Series editor, Tatnall, Arthur, Series editor, Neuhold, Erich J., Series editor, Pras, Aiko, Series editor, Tröltzsch, Fredi, Series editor, Pries-Heje, Jan, Series editor, Whitehouse, Diane, Series editor, Reis, Ricardo, Series editor, Murayama, Yuko, Series editor, Dillon, Tharam, Series editor, Gulliksen, Jan, Series editor, Rauterberg, Matthias, Series editor, Federrath, Hannes, editor, and Gollmann, Dieter, editor

Published
2015
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11. Interactive Communication with Unknown Noise Rate

Author

Dani, Varsha, Movahedi, Mahnush, Saia, Jared, Young, Maxwell, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Halldórsson, Magnús M., editor, Iwama, Kazuo, editor, Kobayashi, Naoki, editor, and Speckmann, Bettina, editor

Published
2015
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12. Noisy Leakage Revisited

Author

Dziembowski, Stefan, Faust, Sebastian, Skorski, Maciej, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Oswald, Elisabeth, editor, and Fischlin, Marc, editor

Published
2015
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13. Why Attackers Win: On the Learnability of XOR Arbiter PUFs

Author

Ganji, Fatemeh, Tajik, Shahin, Seifert, Jean-Pierre, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Conti, Mauro, editor, Schunter, Matthias, editor, and Askoxylakis, Ioannis, editor

Published
2015
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14. Pattern Formation by Spatially Organized Approximate Majority Reactions

Author

Lakin, Matthew R., Stefanovic, Darko, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Ibarra, Oscar H., editor, Kari, Lila, editor, and Kopecki, Steffen, editor

Published
2014
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15. Efficient Error-Correcting Codes for Sliding Windows

Author

Gelles, Ran, Ostrovsky, Rafail, Roytman, Alan, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Geffert, Viliam, editor, Preneel, Bart, editor, Rovan, Branislav, editor, Štuller, Július, editor, and Tjoa, A Min, editor

Published
2014
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16. Radiation tests of Hamamatsu multi-pixel photon counters.

Author

Blazey, G., Colston, J., Dyshkant, A., Francis, K., Kalnins, J., Uzunyan, S.A., Zutshi, V., Hansen, S., Rubinov, P., Dukes, E.C., Oksuzian, Y., and Pankuch, M.

Subjects
*PHOTON detectors, *RADIATION, *COSMIC rays, *BREAKDOWN voltage, *LED lighting, *IRRADIATION
Abstract

Abstract Results of radiation tests of Hamamatsu 2.0 × 2.0 mm 2 through-silicon-via (S13360-2050VE) multi-pixel photon counters, or MPPCs, are presented (Hamamatsu, 0000). Distinct sets of eight MPPCs were exposed to four different 1 MeV neutron equivalent doses of 200 MeV protons. Measurements of the breakdown voltage, gain and noise rates at different bias overvoltages, photoelectron thresholds, and LED illumination levels were taken before and after irradiation. No significant deterioration in performance was observed for breakdown voltage, gain, and response. Noise rates increased significantly with irradiation. These studies were undertaken in the context of MPPC requirements for the Cosmic Ray Veto detector of the Mu2e experiment at the Fermi National Accelerator Laboratory. [ABSTRACT FROM AUTHOR]

Published
2019
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17. Practical Bootstrapping in Quasilinear Time

Author

Alperin-Sheriff, Jacob, Peikert, Chris, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Canetti, Ran, editor, and Garay, Juan A., editor

Published
2013
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18. On Noise-Tolerant Learning of Sparse Parities and Related Problems

Author

Grigorescu, Elena, Reyzin, Lev, Vempala, Santosh, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Kivinen, Jyrki, editor, Szepesvári, Csaba, editor, Ukkonen, Esko, editor, and Zeugmann, Thomas, editor

Published
2011
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19. Differentially Private Data Release through Multidimensional Partitioning

Author

Xiao, Yonghui, Xiong, Li, Yuan, Chun, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Jonker, Willem, editor, and Petković, Milan, editor

Published
2010
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20. Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer

Author

Campigotto, Paolo, Passerini, Andrea, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Blum, Christian, editor, and Battiti, Roberto, editor

Published
2010
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21. Learning Halfspaces with Malicious Noise

Author

Klivans, Adam R., Long, Philip M., Servedio, Rocco A., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Albers, Susanne, editor, Marchetti-Spaccamela, Alberto, editor, Matias, Yossi, editor, Nikoletseas, Sotiris, editor, and Thomas, Wolfgang, editor

Published
2009
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23. An improved algorithm for learning sparse parities in the presence of noise

Author

Yu Yu, Jiang Zhang, Di Yan, Shuoyao Zhao, and Hanlin Liu

Subjects
Physics, General Computer Science, Sample complexity, Improved algorithm, List decoding, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Noise (electronics), Noise rate, Theoretical Computer Science, Combinatorics, Reduction (complexity), 010201 computation theory & mathematics, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Parity (mathematics), Time complexity
Abstract

We revisit the Learning Sparse Parities with Noise (LSPN) problem on k out of n variables for k ≪ n , and present the following findings. 1. For true parity size k = n u for any 0 u 1 , and noise rate η 1 / 2 , the first algorithm solves the (n,k,η)-LSPN problem with constant probability and time/sample complexity n ( 1 − u + o ( 1 ) ) k ( 1 / 2 − η ) 2 . 2. For any 1 / 2 c 1 1 , k = o ( η n / log ⁡ n ) , and η ≤ n − c 1 / 4 , our second algorithm solves the (n,k,η)-LSPN problem with constant probability and time/sample complexity n 2 ( 1 − c 1 + o ( 1 ) ) k . 3. We show a “win-win” result about reducing the number of samples. If there is an algorithm that solves ( n , k , η ) -LSPN problem with probability Ω ( 1 ) , time/sample complexity n O ( k ) for k = o ( n 1 − c ) , any noise rate η = n 1 − 2 c / 3 and 1 / 2 ≤ c 1 . Then, either there exists an algorithm that solves the ( n , k , μ ) -LSPN problem under lower noise rate μ = n − c / 3 using only 2n samples, or there exists an algorithm that solves the ( n , k ′ , μ ) -LSPN problem for a much larger k ′ = n 1 − c with probability n − O ( k ) / poly ( n ) , and time complexity poly ( n ) ⋅ n O ( k ) , using only n samples. Our algorithms are simple in concept by combining a few basic techniques such as majority voting, reduction from the LSPN problem to its decisional variant, Goldreich-Levin list decoding, and computational sample amplification.

Published
2021
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24. Cryptography with Constant Input Locality : (Extended Abstract)

Author

Applebaum, Benny, Ishai, Yuval, Kushilevitz, Eyal, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Menezes, Alfred, editor

Published
2007
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27. Lacunarity as a Texture Measure for Address Block Segmentation

Author

Facon, Jacques, Menoti, David, de Albuquerque Araújo, Arnaldo, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Sanfeliu, Alberto, editor, and Cortés, Manuel Lazo, editor

Published
2005
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28. Image Evaluation Factors

Author

Yao, Hongxun, Huseh, Min-Yu, Yao, Guilin, Liu, Yazhou, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Kamel, Mohamed, editor, and Campilho, Aurélio, editor

Published
2005
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31. Meningitis Data Mining by Cooperatively Using GDT-RS and RSBR

Author

Zhong, Ning, Dong, Ju-Zhen, Ohsuga, Setsuo, Goos, G., editor, Hartmanis, J., editor, van Leeuwen, J., editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Terano, Takao, editor, Ohsawa, Yukio, editor, Nishida, Toyoaki, editor, Namatame, Akira, editor, Tsumoto, Syusaku, editor, and Washio, Takashi, editor

Published
2001
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32. A new type of RPC with very low resistive material.

Author

Chakraborty, S., Chatterjee, S., Roy, S., Roy, A., Biswas, S., Das, S., Ghosh, S.K., Prasad, S.K., and Raha, S.

Subjects
*RESISTIVE force, *COSMIC rays, *CERAMIC materials, *TEAMS in the workplace, *GAS detectors
Abstract

There are several working groups that are currently working on high rate RPC's using different materials such as Si-based ceramics, low-resistivity glass, low-resistive bakelite etc. A new type of single gap RPC has been fabricated using very low-resistive carbon-loaded PTFE material to compete with all these other groups and materials. In terms of bulk resistivity, this material show a very low bulk resistivity and should in principle be able to work at the highest rates, provided the material can withstand working bias and radiation. The efficiency and noise rate of the RPC are measured with cosmic rays. The detailed method of fabrication and first experimental results are presented. [ABSTRACT FROM AUTHOR]

Published
2019
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34. R&D on Trigger Resistive Plate Chambers for the Search for Hidden Particles Experiment

Author

Chun Sil Yoon, K. S. Lee, B. D. Park, J.-W. Ko, Moon-Sik Kang, Seon-Won Kim, Su Eun Park, Yunhui Jo, Kisuk Choi, J. Y. Sohn, Kang Young Lee, Y. G. Kim, and Jong-Kwan Woo

Subjects
010302 applied physics, Physics, Resistive touchscreen, Particle physics, Muon, Physics::Instrumentation and Detectors, Detector, General Physics and Astronomy, 02 engineering and technology, 021001 nanoscience & nanotechnology, 01 natural sciences, Charged particle, Noise rate, Tau neutrino, 0103 physical sciences, High Energy Physics::Experiment, Cosmic muons, 0210 nano-technology, Image resolution
Abstract

The main goals of the Search for Hidden Particles (SHiP) experiment are to observe hidden particles and to run a high-statistics study of tau neutrino events. Two different types of resistive plate chambers (RPCs) will be used in the future SHiP experiment: one for triggers to select the decayed muons emitted via tau neutrino interactions and one for precision time measurements of charged particles, which are expected from the decays of hidden particles. In the present research, we constructed and tested a prototype RPC module to study the fundamental detector performance of the muon trigger RPCs in the tau neutrino detector of the SHiP experiment. The required detector characteristics, such as the intrinsic noise rate, the time response, and the spatial resolution, were proven through the test of the present prototype detector with cosmic muons.

Published
2020
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45. Characterization of a new RPC prototype using conventional gas mixture.

Author

Sen, A., Chatterjee, S., Das, S., and Biswas, S.

Subjects
*GAS mixtures, *PARTICLE physics, *LINSEED oil, *SURFACE roughness, *PHYSICS experiments
Abstract

Resistive Plate Chamber is a well-known gaseous detector in the field of High Energy Physics experiments for its good tracking capability, high efficiency, good time resolution, and low cost of fabrication. The main issue in Resistive Plate Chamber is its limitation in the rate handling capability. Several experimental groups have developed sophisticated techniques to increase the particle rate capability and reduce the noise rate of this detector. In bakelite Resistive Plate Chamber linseed oil coating on the inner electrode surface is done to get rid of surface roughness of the resistive electrodes. We developed a new method for linseed oil coating in case of bakelite Resistive Plate Chamber to achieve good efficiency (> 90%). In this article, we discussed the test results obtained from a prototype fabricated in this new method, using a conventional gas mixture. [ABSTRACT FROM AUTHOR]

Published
2023
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46. Qualidade de vida em voz pediátrica e análise acústica vocal: estudo em escolares

Author

Suelene Cibelle Silva dos Reis, Giselle Frutuoso Nascimento, Zulina Souza de Lira, and Adriana de Oliveira Camargo Gomes

Subjects
medicine.medical_specialty, Population, Disfonia, P1-1091, Criança, Audiology, Correlation, 030507 speech-language pathology & audiology, 03 medical and health sciences, 0302 clinical medicine, Quality of life (healthcare), medicine, 030223 otorhinolaryngology, education, Child, Philology. Linguistics, General Environmental Science, education.field_of_study, Sustained vowel, Mean age, General Medicine, Dysphonia, Noise rate, Pediatric voice, Otorhinolaryngology, RF1-547, Voice, Quality of Life, General Earth and Planetary Sciences, 0305 other medical science, Psychology, Voz, Qualidade de Vida
Abstract

Purpose: to assess the self-reported voice-related quality of life of schoolchildren without voice complaints and correlate it to acoustic parameters of voice. Methods: the research population comprised 31 children, mean age 6.5 (±0.17) years. The children’s perception of their voice-related quality of life was verified with the Pediatric Voice-Related Quality of Life Survey, which has 10 closed-ended questions and three domains. The acoustic parameters assessed were fundamental frequency, jitter, shimmer, glottal-to-noise excitation ratio, and noise rate, besides the phonatory deviation diagram, based on the analysis of the emission of the sustained vowel /ɛ/ for 5 seconds. Results: all the children obtained scores close to 100% in the three domains of the Pediatric Voice-Related Quality of Life Survey. As for the acoustic parameters, most of them presented abnormal values in the phonatory deviation diagram and in shimmer. There was a difference between girls and boys only in fundamental frequency. Conclusion: the pediatric self-reported voice-related quality of life of the children studied had a positive impact, despite the acoustic changes found in the voices. There was no correlation between the pediatric voice-related quality of life and the acoustic parameters in voice in the group studied. RESUMO Objetivo: avaliar a qualidade de vida em voz pediátrica autorreferida em escolares, sem queixas vocais e correlacioná-la aos parâmetros acústicos vocais. Métodos: a população desta pesquisa foi constituída por 31 crianças, com média de idade de 6,5 (±0,17) anos. Para verificar a percepção das crianças sobre a qualidade de vida em voz, foi aplicado o protocolo Qualidade de Vida em Voz Pediátrico composto por dez questões fechadas e três domínios. Os parâmetros acústicos avaliados foram frequência fundamental, jitter, shimmer, glottal-to-noise excitation ratio e índice de ruído, além do diagrama de desvio fonatório, a partir da análise da emissão da vogal /ɛ/ sustentada por cinco segundos. Resultados: os três domínios do protocolo Qualidade de Vida em Voz Pediátrico apresentaram escores próximos a 100% para todas as crianças. Quanto aos parâmetros acústicos, a maioria apresentou valores fora da normalidade, no diagrama de desvio fonatório e nos valores de shimmer. Observou-se diferença entre as meninas e os meninos apenas na frequência fundamental. Conclusão: a qualidade de vida em voz pediátrica autorreferida, nas crianças estudadas, apresentou impacto positivo, a despeito das alterações acústicas vocais encontradas. Não houve correlação entre a qualidade de vida em voz pediátrica e os parâmetros acústicos vocais, no grupo estudado.

Published
2021

47. Performance of a Low-Resistive Bakelite RPC Using PADI Electronics

Author

Subhasis Chattopadhyay, Jogender Saini, Zubayer Ahammed, and Mitali Mondal

Subjects
Avalanche mode, Resistive touchscreen, High flux, chemistry.chemical_compound, Materials science, chemistry, Nuclear engineering, Detector, Bakelite, Electronics, Noise rate
Abstract

An R&D programme has been going on at VECC, Kolkata with a low-resistive prototype bakelite RPC to be used in the CBM experiment at FAIR, Germany. It has been operated in an avalanche mode gas mixture to withstand the high flux environment of upcoming CBM experiment. A self-triggered front-end electronics PADI has been used to acquire the data. In this paper, the characterization of the detector such as IV characteristics, efficiency, and noise rate have been presented.

Published
2021
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48. P-DIFF+: Improving learning classifier with noisy labels by Noisy Negative Learning loss

Author

Wei Hu, QiHao Zhao, Yangyu Huang, and Fan Zhang

Subjects
Sample selection, Artificial neural network, business.industry, Computer science, Cognitive Neuroscience, Process (computing), Sample (statistics), Pattern recognition, Noise rate, Task (project management), Machine Learning, Benchmarking, Artificial Intelligence, Classifier (linguistics), Benchmark (computing), Artificial intelligence, Neural Networks, Computer, business
Abstract

Learning deep neural network (DNN) classifier with noisy labels is a challenging task because the DNN can easily over-fit on these noisy labels due to its high capability. In this paper, we present a very simple but effective training paradigm called P-DIFF+, which can train DNN classifiers but obviously alleviate the adverse impact of noisy labels. Our proposed probability difference distribution implicitly reflects the probability of a training sample to be clean, then this probability is employed to re-weight the corresponding sample during the training process. Moreover, Noisy Negative Learning(NNL) loss can be further employed to re-weight samples. P-DIFF+ can achieve good performance even without prior-knowledge on the noise rate of training samples. Experiments on benchmark datasets demonstrate that P-DIFF+ is superior to the state-of-the-art sample selection methods.

Published
2020

49. Uncertainties on modal parameters by operational modal analysis.

Author

VIET HUNG VU and THOMAS, MARC

Subjects
*MODAL analysis, *PARAMETER estimation, *PERTURBATION theory, *DAMPING (Mechanics), *VECTOR autoregression model, *COMPUTER simulation
Abstract

When operational modal analysis (OMA) is conducted on operating machines or structures without knowing excitations and perturbations neither the number of concerned frequencies, one problem raises on the validity of modal parameters identification (especially damping ratios) and on the precision of results obtained. This paper presents an OMA method allowing for the evaluation of uncertainties of modal parameters (frequencies, damping ratios and mode shapes). The method is based on the vector autoregressive model (VAR) for multiple numbers of measured channels. It is seen that the uncertainty of modal parameters decreases with higher model orders; the calculation of uncertainty allows also for the construction of an objective criterion for the selection of computing model order based on a threshold of confidence interval. The derivation confirms also that the identification of natural frequencies deals with a smaller uncertainty compared with the damping ratio estimation, and hence it can be conducted with a lower computing model order. Numerical simulations and experiments on a steel plate show the feasibility and the effectiveness of the developed OMA method. [ABSTRACT FROM AUTHOR]

Published
2014
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50. Towards instance-dependent label noise-tolerant classification: a probabilistic approach

Author

Jeerayut Chaijaruwanich and Jakramate Bootkrajang

Subjects
Imagination, Computer science, business.industry, media_common.quotation_subject, Probabilistic logic, 020207 software engineering, Pattern recognition, Probability density function, 02 engineering and technology, Mixture model, Noise rate, Search engine, ComputingMethodologies_PATTERNRECOGNITION, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, business, Classifier (UML), media_common
Abstract

Learning from labelled data is becoming more and more challenging due to inherent imperfection of training labels. Existing label noise-tolerant learning machines were primarily designed to tackle class-conditional noise which occurs at random, independently from input instances. However, relatively less attention was given to a more general type of label noise which is influenced by input features. In this paper, we try to address the problem of learning a classifier in the presence of instance-dependent label noise by developing a novel label noise model which is expected to capture the variation of label noise rate within a class. This is accomplished by adopting a probability density function of a mixture of Gaussians to approximate the label flipping probabilities. Experimental results demonstrate the effectiveness of the proposed method over existing approaches.

Published
2018
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