scholarly journals Doppler Position Location: Single Observation Point Feasibility Regions

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
R. Villalpando-Hernandez ◽  
D. Munoz-Rodriguez ◽  
C. Vargas-Rosarles ◽  
E. Mera
2020 ◽  
Author(s):  
Marina Rosas-Carbajal ◽  
Yves Le Gonidec ◽  
Dominique Gibert ◽  
Jean de Bremond d'Ars ◽  
Jean-Christophe Ianigro ◽  
...  

<p>Characterizing volcano-hydrothermal activity is crucial for understanding the dynamics of volcanos and the relation between surface observations and deep magmatic activity. It may be also relevant for detecting precursors to magmatic and phreatic eruptions. Traditional monitoring tools such as seismicity and deformation are not always sensitive to hydrothermal activity, therefore it is important to explore new tools that can provide complementary information about the system.</p><p>Muon imaging is increasingly used as a novel tool to complement standard geophysical methods in volcanology, allowing to image large volumes of a geological body from a single observation point. Continuous measurements of the muon flux enable to infer density changes in the system. In volcanic hydrothermal systems, this approach helps to characterize processes of steam formation, condensation, water infiltration and storage. Here we present the results of a combined study in the La Soufrière de Guadeloupe volcano (West Indies, France) where continuous measurements of muon tomography were acquired simultaneously to seismic noise. The combination of these two methods helps to characterize a short-term, shallow hydrothermal event, its localization, and the involved volumes in the volcano. The deployment of networks of various sensors including temperature probes, seismic antennas and cosmic muon telescopes around volcanoes could valuably contribute to detect precursors to more hazardous hydrothermal events.</p>


2001 ◽  
Vol 32 (2) ◽  
pp. 65-84 ◽  
Author(s):  
Ronny Berndtsson ◽  
Cintia Uvo ◽  
Minoru Matsumoto ◽  
Kenji Jinno ◽  
Akira Kawamura ◽  
...  

Research during the latest years has indicated a significant connection between climate and solar activity. Specifically, a relationship between Northern Hemisphere air temperature and sunspot cycle length (SCL) has been shown. By using monthly SCL and land air temperature from 1753-1990 (238 years) we show that this relationship also holds for a single observation point in south of Sweden. Using data after 1850 yields a statistically significant linear correlation of 0.54 between SCL and mean temperature. Furthermore, we show that there are indications of a low-dimensional chaotic component in both SCL and the interconnected mean land air temperature. This has important implications for hydrology and water resources applications. By pure definition of chaos this means that it is virtually impossible to make long-term predictions of mean temperature. Similarly, because of the strong connection between temperature and many hydrological components, it is probable that also long-term water balance constituents may follow chaotic trajectories. Long-term projections of water resources availability may therefore be impossible. Repeated short-term predictions may however, still be viable. We exemplify this by showing a technique to predict interpolated mean temperature 6 and 12 months ahead in real time with encouraging results. Improving the technique further may be possible by including information on the SCL attractor. To summarize, research into the possible existence of chaotic components in hydrological processes should be an important task for the next years to come.


2015 ◽  
Vol 201 (2) ◽  
pp. 23-32
Author(s):  
Jędrzej Hajduczenia ◽  
Jarosław Jarosław Sadowski ◽  
Sylwester Kaczmarek

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3946
Author(s):  
Mohamed Khalaf-Allah

Passive ground emitter geolocation techniques are essential to electronic warfare systems, as they provide threat warnings in hostile environments, while ensuring the electronic silence of the mission platform. Geolocation of enemy emitters indicates the position of and type of adversary troops, and allows for the use of guided munition against enemy targets. Three-dimensional geolocation solutions based on least squares and particle filter estimation, using only azimuth and elevation measurements, were considered. Three batch-processing and one instantaneous solution algorithms, i.e., using a single pulse or a single observation point, were developed and investigated. The performance of the proposed solutions was demonstrated by simulations. Results showed that the batch-processing solutions achieved acceptable accuracies with a sufficient number of observation points. The performance degraded with fewer observation points. The instantaneous geolocation solution improved performance with increasing observation points, i.e., working in the sequential mode, and therefore could approach the accuracy of the batch-processing solutions.


2021 ◽  
Vol 10 (8) ◽  
pp. 1699
Author(s):  
Alona Emodi-Perlman ◽  
Daniele Manfrendini ◽  
Tamar Shalev ◽  
Ilanit Yevdayev ◽  
Pessia Frideman-Rubin ◽  
...  

Assessment of awake bruxism (AB) is problematic due to the inability to use continuous recordings during daytime activities. Recently, a new semi-instrumental approach was suggested, namely, ecological momentary assessment (EMA), via the use of a smartphone application. With the application, subjects are requested to report, at least 12 times per day, the status of their masticatory muscle activity (relaxed muscles, muscle bracing without tooth contact, teeth contact, teeth clenching, or teeth grinding). The aim of the present study was to test the association between a single observation point self-report and EMA assessment of AB. The most frequent condition recorded by the EMA was relaxed muscles (ca. 60%) and the least frequent was teeth grinding (less than 1%). The relaxed muscle condition also showed the lowest coefficient of variance over a seven-day period of report. Additionally, only the relaxed muscles and the muscle bracing conditions presented an acceptable ability to assess AB-positive and AB-negative subjects, as defined by single-point self-report questions. The combination between self-report and EMA may have the potential to promote our ability to assess AB. We suggest to re-consider the conditions of teeth contact and teeth grinding while using EMA to evaluate AB.


2018 ◽  
Vol 615 ◽  
pp. A159 ◽  
Author(s):  
V. Perdelwitz ◽  
M. Völschow ◽  
H. M. Müller

Context. The recently postulated existence of a giant ninth planet in our solar system has sparked search efforts for distant solar system objects (SSOs) both via new observations and archival data analysis. Due to the likely faintness of the object in the optical and infrared regime, it has so far eluded detection. Aims. We set out to re-analyze data acquired by the Wide-Field Infrared Survey Explorer (WISE), an all-sky survey well suited for the detection of SSOs. Methods. We present a new approach to SSO detection via parallactic fitting. Using the heliocentric distance as a fit parameter, our code transforms groups of three or more single-observation point sources to heliocentric coordinates under the assumption that all data stem from an object. The fact that the orbit of a distant SSO is approximately linear in heliocentric coordinates over long time-scales can be utilized to produce candidates, which can then be confirmed with follow-up observations. Results. We demonstrate the feasibility of the approach by a posteriori detecting the outer SSO Makemake within WISE data. An all-sky search for Planet Nine yielded no detection. Conclusions. While the postulated Planet Nine eluded detection by our algorithm, we tentatively predict that this new approach to moving-object analysis will enable the discovery of new distant SSOs that cannot be discovered by other algorithms. Especially in cases of sparse data observed over long time spans, our approach is unique and robust due to the use of only one fit parameter.


Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Bonne J. H. Zijlstra ◽  
Marijtje A. J. van Duijn ◽  
Tom A. B. Snijders

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.


1990 ◽  
Vol 7 (1) ◽  
pp. 1-7
Author(s):  
Anwar Ibrahim

Our understanding of science itself as a body of knowledge and as asystem of analysis and research has changed over the last decades, just asover the last two centuries, or especially after the age of Enlightement inEurope, science has become more powerful, more sophisticated and complex.It is rather difficult to determine where science ends and where technologybegins. In fact there is a gmwing awareness that the physical or nam sciences,as a means of studying and understanding nature, are relying on the more“humanistic“ and cultural approaches adopted by the social sciences or thehumanities. The tradition of natural science is being challenged by newdiscoveries of the non-physical and non-natural sciences which go beyondthe physical world.Certainly research is vital for the growth and development of all sciencesthat attempt to discover and understand the “secrets” of nature. The validityof any scientific theory depends on its research and methodological premisesand even that-its proposition or theories (in the words of a leading cosmologistand theoretical physicist, Stephen Hawking) -is tentative. Hawlung says: “Anyphysical theory is always provisional, in the sense that it is only a hypothesis:you can never prove it. No matter how many times the results of experimentsagree with some theory, you can never be sure that the next time the resultwill not contradict the theory. On the other hand, you can disprove a theoryby finding even a single observation that disagrees with the predictions ofthe theory.”The history of Western science is rooted in the idea of finding the ’truth’by objectivity. Nothing can be believed until there is a scientific proof ofits existence, or until it can be logically accepted by the rational mind. Theclassical scenario of scientific work gives you an austere picture of heroicactivity, undertaken against all odds, a ceaseless effort to subjugate hostileand menacing nature, and to tame its formidable forces. Science is depicted ...


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