Harvesting cherry tomatoes is more laborious than harvesting larger size because of the high fruit density in every cluster. To save labor costs, robotic has been studied Japan. An effective vision algorithm, to detect positions many small fruits, was developed for guidance robotically harvested tomatoes. A spectral reflectance visible region identified and extracted provide contrast images cluster identification. The 3-D position each determined using a binocular stereo technique. robot one...

Abstract The internal structure of the Moon has been investigated over many years using a variety seismic methods, such as travel time analysis, receiver functions, and tomography. Here we propose to apply body‐wave interferometry deep moonquakes in order retrieve zero‐offset reflection responses (and thus images) beneath Apollo stations on nearside from virtual sources colocated with stations. This method is called deep‐moonquake (DMSI). Our results show laterally coherent acoustic boundary...

Abstract We present a method for automatic detection and classification of seismic events from continuous ambient‐noise (AN) recordings using an unsupervised machine‐learning (ML) approach. combine classic recently developed array‐processing techniques with ML enabling the use in routine processing data. test our on dataset large‐number (large‐N) array, which was deployed over Kylylahti underground mine (Finland), show potential to automatically process cluster volumes AN Automatic sorting...

We estimated source parameters of 216 intermediate-depth (65–150 km) earthquakes (Mw 4.0–7.0) in the Pacific slab beneath Japan along using Hi-net data. made determinations static stress drop, radiated energy and radiation efficiency, with estimates whole path attenuation, to study scaling as a function earthquake size depth. Our results show that there is small increase values ratio seismic moment, which due an associated slight drop size. also efficiency for these events drops energies....

ABSTRACT Machine learning methods including support‐vector‐machine and deep are applied to facies classification problems using elastic impedances acquired from a Paleocene oil discovery in the UK Central North Sea. Both of supervised approaches showed similar accuracy when predicting after optimization hyperparameters derived well data. However, results obtained by provided better correlation with available wells more precise decision boundaries cross‐plot space compared approach. Results...

The main issues related to passive-source reflection imaging with seismic interferometry (SI) are inadequate acquisition parameters for sufficient spatial wavefield sampling and vulnerability of surface arrays the dominant influence omnipresent surface-wave sources. Additionally, long recordings provide large data volumes that require robust efficient processing methods. We address these problems by developing a two-step evaluation event detection (TWEED) method body waves in recorded...

Obtaining detailed images of aseismic parts subducting slabs remains a large challenge for understanding slab dynamics. Hypocenter mapping cannot be used the purpose due to absence seismicity, whereas use receiver functions might compromised by presence melt. Global tomography can identify slab, but it does not reveal structure in detail. We have determined how obtained using global-phase seismic interferometry. The method provides high-resolution ([Formula: see text] depth) pseudo...

Research Article| September 01, 2014 Global‐Phase H/V Spectral Ratio for Delineating the Basin in Malargüe Region, Argentina Yohei Nishitsuji; Nishitsuji aDepartment of Geoscience and Engineering, Delft University Technology, Stevinweg 1/P.O. Box 5048, 2628 CN Delft/2600 GA Delft, The Netherlandsy.nishitsuji@tudelft.nl Search other works by this author on: GSW Google Scholar Elmer Ruigrok; Ruigrok Martín Gomez; Gomez bInternational Center Earth Sciences (ICES), Comision Nacional de Energia...

We have developed an application of passive seismic interferometry (SI) using P-wave coda local earthquakes for the purpose crustal-scale reflection imaging. processed gathers retrieved from SI following a standard processing in exploration seismology. applied to crosscorrelation, crosscoherence, and multidimensional deconvolution (MDD) approaches data recorded Malargüe region, Argentina. Comparing results three approaches, we found that MDD based on truncated singular-value decomposition...

One of major technical competitions in energy industry relates to how optimally deep-learning architectures we can design. Optimization hyperparameters is treated as labor-intensive. However, it important tune the parameters especially when deal with relatively small targets, yet high-impact consequences be resulted. In this study, adapt Optuna, global optimizer, for tuning hyperparameter scheme extended long-short term memory forget gates. We apply framework predicting lithological facies....

Abstract The characterization of the megaregolith on Moon has been investigated in various ways including analysis lunar meteorites, remote sensing mineralogy and gravity, deriving a seismic velocity profile. In this study, we propose method for analyzing azimuthal anisotropy megaregolith. We call deep‐moonquake interferometry applied to S ‐wave coda (DMSI‐S). DMSI‐S can turn records deep moonquakes into recordings from virtual active sources. retrieved sources coincide with station...

We have developed a new imaging technique of subsurface heterogeneities that uses Sp-waves from natural earthquakes. This can be used as first screening tool in frontier exploration areas before conventional active exploration. Analyzing 28 earthquakes ([Formula: see text] 2.0 to 4.2) recorded by two permanent seismic stations, we built an image the distributions velocity discontinuities southeastern offshore Hokkaido, Japan, where intraplate Pacific plate frequently occur. Our results...

Summary We investigated the applicability of global phases (epicentral distances ≥ 120° and 150°) for H/V spectral ratio to identify fundamental resonance frequency. applied method delineate a part Neuquén basin in Argentina without need active seismic sources. obtained fairly identifiable frequencies range 0.15 Hz 2.5 Hz. Receiver-side resonances were pronounced by stacking over many earthquake recordings. By doing so, same found using different window (P S-phases) as well epicentral (≥...

Summary We investigate the applicability of passive seismic interferometry using P-wave coda from local earthquakes for purpose retrieving reflections imaging enhanced geothermal systems. For this, we use ambient-noise data recorded in Neuquén basin, Argentina, where Peteroa and Los Molles fields are present nearby. After reflections, proceed to process them following a standard processing sequence obtain images crustal structures. Examining crosscorrelation, crosscoherence, multidimensional...

Summary In recent years, the rapid changes in social trends and technologies, such as digital transformation energy transition, have had a large impact on many industries. Future forecasts exploration of potential values become indispensable for dealing with achieving success novel research and/or business. this paper, we discuss an approach to evaluate diffusion innovative technologies other fields using network data academic articles citing review paper. This study provides case full...

Using Sp-waves from 27 earthquakes (Mj 2.0 to 4.2) recorded by a permanent seismic station in southeastern offshore of Hokkaido Japan where intraplate the Pacific plate frequently occur, we attempted image distributions velocity discontinuities. The results indicated that there are horizontally continuous, distinct discontinuities at depths 2-5 km this region. We also estimated frequency dependent quality factor, Q, for both P and S-waves range 0.1 48 Hz characterizing physical property...

This thesis investigates the potential of passive seismic methods that make use body waves, and especially reflection method, as cost-effective applications for multiscale subsurface imaging characterization. For this purpose, we develop several techniques different scales: basin, crustal, lithospheric. basin scale, developed horizontal- vertical-components spectral ratio global earthquake phases to estimate depth. We also used Sp-wave method analysis frequency-dependent quality factor...