Spatio-Temporal Quality of Precision Farming Applications

2002 ◽  
Author(s):  
Markus Ehrl ◽  
Markus R. Demmel ◽  
Hermann Auernhammer ◽  
Werner V. Stempfhuber ◽  
Wolfgang Maurer ◽  
...  
Keyword(s):  
Precision Farming ◽  
Spatio Temporal

Imaging through Scattering Media with a Learning Based Prior

2020 ◽  
Vol 2020 (14) ◽  
pp. 306-1-306-6
Author(s):  
Florian Schiffers ◽  
Lionel Fiske ◽  
Pablo Ruiz ◽  
Aggelos K. Katsaggelos ◽  
Oliver Cossairt
Keyword(s):  
Optimization Problem ◽  
Autonomous Driving ◽  
Scattering Media ◽  
Photon Scattering ◽  
Point Spread ◽  
Spread Function ◽  
Radiative Transport Equation ◽  
Spatio Temporal ◽  
Transient Imaging

Imaging through scattering media finds applications in diverse fields from biomedicine to autonomous driving. However, interpreting the resulting images is difficult due to blur caused by the scattering of photons within the medium. Transient information, captured with fast temporal sensors, can be used to significantly improve the quality of images acquired in scattering conditions. Photon scattering, within a highly scattering media, is well modeled by the diffusion approximation of the Radiative Transport Equation (RTE). Its solution is easily derived which can be interpreted as a Spatio-Temporal Point Spread Function (STPSF). In this paper, we first discuss the properties of the ST-PSF and subsequently use this knowledge to simulate transient imaging through highly scattering media. We then propose a framework to invert the forward model, which assumes Poisson noise, to recover a noise-free, unblurred image by solving an optimization problem.

scholarly journals Analyzing the Performance of GPS Data for Earthquake Prediction

2021 ◽  
Vol 13 (9) ◽  
pp. 1842
Author(s):  
Valeri Gitis ◽  
Alexander Derendyaev ◽  
Konstantin Petrov
Keyword(s):  
Earthquake Prediction ◽  
Spatial Density ◽  
Gps Data ◽  
Quality Of Data ◽  
Minimum Area ◽  
Seismological Data ◽  
Successful Prediction ◽  
Spatio Temporal ◽  
Hypocenter Depth

The results of earthquake prediction largely depend on the quality of data and the methods of their joint processing. At present, for a number of regions, it is possible, in addition to data from earthquake catalogs, to use space geodesy data obtained with the help of GPS. The purpose of our study is to evaluate the efficiency of using the time series of displacements of the Earth’s surface according to GPS data for the systematic prediction of earthquakes. The criterion of efficiency is the probability of successful prediction of an earthquake with a limited size of the alarm zone. We use a machine learning method, namely the method of the minimum area of alarm, to predict earthquakes with a magnitude greater than 6.0 and a hypocenter depth of up to 60 km, which occurred from 2016 to 2020 in Japan, and earthquakes with a magnitude greater than 5.5. and a hypocenter depth of up to 60 km, which happened from 2013 to 2020 in California. For each region, we compare the following results: random forecast of earthquakes, forecast obtained with the field of spatial density of earthquake epicenters, forecast obtained with spatio-temporal fields based on GPS data, based on seismological data, and based on combined GPS data and seismological data. The results confirm the effectiveness of using GPS data for the systematic prediction of earthquakes.

scholarly journals QUANTITATIVE ASSESSMENT OF DANCE THERAPY INFULENCE ON THE PARKINSON’S DISEASE PATIENTS’ LOWER LIMB BIOMECHANICS / ŠOKIŲ ĮTAKA APATINIŲ GALŪNIŲ BIOMECHANIKAI SERGANT PARKINSONO LIGA

2017 ◽  
Vol 8 (6) ◽  
pp. 583-586
Author(s):  
Donatas Lukšys ◽  
Julius Griškevičius
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Lower Extremity ◽  
Lower Limb ◽  
Dance Therapy ◽  
Inertial Sensors ◽  
Dance Music ◽  
Lindy Hop ◽  
Spatio Temporal

Parkinson’s disease – progressive neurologic disorder that damages a variety of motor function and reduces the quality of life. Patients with PD are subject to various physical therapy exercises, but recently is applied more often the dance – music therapy. This study aims assessing the therapeutic effect of the modified Lindy Hop dance therapy on lower extremity biomechanics. The experimental study was performed using inertial sensors that registered lower extremity biomechanical parameters during gait. Several spatio-temporal parameters of lower limb were calculated and were found statistically significant between groups, which allows quantifying the influence of dance therapy. Parkinsono liga (PL) – progresuojantis neurologinis sutrikimas, kuris pažeidžia įvairias motorines funkcijas ir sumažina gyvenimo kokybę. Sergant PL, taikomos įvairios fizinių pratimų terapijos, bet paskutiniu metu dažniau taikoma šokių – muzikos – terapija. Eksperimentinio tyrimo metu buvo naudojami inerciniai jutikliai, siekiant registruoti apatinių galūnių biomechaninius parametrus eisenos metu. Šio straipsnio tikslas – įvertinti modifikuotos lindihopo šokių terapijos įtaką apatinių galūnių biomechanikai. Buvo apskaičiuoti apatinių galūnių kinematiniai parametrai ir surasti statistiškai reikšmingi skirtumai tarp grupių ir grupių viduje, kurie leidžia kiekybiškai įvertinti šokių įtaką.

RISK FACTORS AND PROTECTION FACTORS FOR THE COVID-19 EPIDEMIC AND VACCINATION AS A POSSIBLE MEANS OF CONTROLLING THE EPIDEMIC

2017 ◽  
Author(s):  
Oksana Romaniv ◽  
◽  
Bohdan Klyapchuk ◽  
Keyword(s):  
Risk Factors ◽  
Economic Integration ◽  
Herd Immunity ◽  
Vaccination Program ◽  
Special Method ◽  
Vaccination Programs ◽  
Regional Dynamics ◽  
Spatio Temporal ◽  
The Impact

A study of the impact of especially contextual on COVID-19 factors of the epidemic (geopolitical, climatic, socio-economic integration, social, including religious, demographic and others) was conducted. The regional dynamics of the epidemic in the Scandinavian countries was analyzed. The spatio-temporal changes of the epidemic indicators in the conditions of loyalty to risk factors (Sweden) and in the conditions of controlled risks (in other countries of the Scandinavian region) were revealed. The current research of scientists on the formation of herd immunity in the population with and without vaccination programs was generalized. The article evaluated the quality of the vaccination program in Ukraine. The threshold indicator "herd immunity" and the number of months to achieve herd immunity in Ukraine without vaccination were calculated according to a special method.

Forest Inventory

2019 ◽  
pp. 174-193
Author(s):  
Said Lahssini ◽  
Loubna El Mansouri ◽  
Hicham Mharzi Alaoui ◽  
Said Moukrim
Keyword(s):  
Satellite Imagery ◽  
Forest Inventory ◽  
Social Systems ◽  
Forest Resources ◽  
Lidar Data ◽  
Aerial Photogrammetry ◽  
Spatio Temporal ◽  
Land Inventory ◽  
Forest Resources Management

Forest resources management requires a variety of information related to social systems and to land and its supported resources and their dynamics (land cover, forest stocking, and growth). Such information is, by nature, spatio-temporal and scale dependent and its quality relay on costs for obtaining it. Geosciences and forest geomatics offer valuable methods for ensuring a good compromise between the quality of required information and its costs. This chapter will review and discuss the contribution of geoscience to forest and land inventory. After presentation of information needed and their acquisition methods, through traditional forest inventory, the chapter will focus on technologies aiming at forest resources characterization and assessment such as aerial photogrammetry, satellite imagery, LiDAR data.

Spatio-Temporal Based Personalization for Mobile Search

2012 ◽  
pp. 386-409 ◽  
Author(s):  
Ourdia Bouidghaghen ◽  
Lynda Tamine
Keyword(s):  
Information Retrieval ◽  
Contextual Information ◽  
The Internet ◽  
Search Results ◽  
Search Result ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Spatio Temporal ◽  
Mobile Context

The explosion of the information available on the Internet has made traditional information retrieval systems, characterized by one size fits all approaches, less effective. Indeed, users are overwhelmed by the information delivered by such systems in response to their queries, particularly when the latter are ambiguous. In order to tackle this problem, the state-of-the-art reveals that there is a growing interest towards contextual information retrieval (CIR) which relies on various sources of evidence issued from the user’s search background and environment, in order to improve the retrieval accuracy. This chapter focuses on mobile context, highlights challenges they present for IR, and gives an overview of CIR approaches applied in this environment. Then, the authors present an approach to personalize search results for mobile users by exploiting both cognitive and spatio-temporal contexts. The experimental evaluation undertaken in front of Yahoo search shows that the approach improves the quality of top search result lists and enhances search result precision.

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