Seismic imaging using full-wavefield data that includes primary reflections, transmitted waves, and their multiples has been the holy grail for generations of geophysicists. To be able to use effectively requires a forward-modeling process generate data, an inversion scheme minimize difference between modeled recorded and, more importantly, accurate velocity model correctly propagate collapse energy different wave modes. All these elements have embedded in framework full-waveform (FWI) since...

Stable operation of IoT systems in extreme environments is critical for infrastructures, including energy, aerospace, and healthcare. But resource-constrained devices are vulnerable to malware exploiting known weaknesses due complex operating conditions low-frequency device maintenance, at serious risk failure or information leakage. However, automated security defense based on machine learning faces the challenges low cross-architectural generalization multidimensional data imbalance. We...

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2019Sparse nodes for velocity: Learnings from Atlantis OBN full-waveform inversion testAuthors: Jiawei MeiZhigang ZhangFeng LinRongxin HuangPing WangCheryl MifflinJiawei MeiCGG, Zhigang ZhangCGG, Feng LinCGG, Rongxin HuangCGG, Ping WangCGG, and Cheryl MifflinBHPhttps://doi.org/10.1190/segam2019-3215208.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked...

Although the resolution of a seismic image is ultimately bound by spatial and temporal sampling acquired data, images obtained through conventional imaging methods normally fall far short this limit. In addition to attenuation in Earth, factors such as velocity errors, illumination holes, residual noise multiples, source receiver ghost notches, migration swings can prevent from obtaining high-resolution good signal-to-noise ratio (S/N) well-focused details promised maximum frequency....

Abstract This study examined effects of the keyword (English and Spanish) method in comparison with rehearsal on vocabulary learning fifth‐grade students Limited English Proficiency (LEP). Following an intervention program, sixty 5th‐graders LEP took a recall test sentence completion over two time intervals: immediate one‐week delayed. Multivariate repeated measures were implemented employing (vocabulary completion) (immediate delayed) as within‐subject factors, group (keyword Spanish,...

Abstract University classroom arrangement problem is considered as a sub-question of the university timetabling problem, which has been proved to be an NP-hard in combinatorial optimization field. In this paper, we firstly analyzed relevant factors and set up model problem. Then genetic algorithm was applied optimize considering moving distance students between courses, caused by room changing. The experimental results have shown that could generate feasible solutions arrangement.

It is the inevitable trend of development for optical frequency comb based on Ti: sapphire femtosecond laser to be replaced by that Er: fiber laser. The detection carrier-envelope offset f0 in a key realization an comb. In this paper, structure part introduced. pulses from with repetition 230 MHz are first amplified two stage amplifiers, spectrally broadened highly nonlinear fiber, and then pass through single-beam f—2f self-referencing interferometer. By optimizing parameters,...

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2020Full-waveform inversion for sparse OBN dataAuthors: Zhiguang XueZhigang ZhangFeng LinJiawei MeiRongxin HuangPing WangZhiguang XueCGG, Zhigang ZhangCGG, Feng LinCGG, Jiawei MeiCGG, Rongxin HuangCGG, and Ping WangCGGhttps://doi.org/10.1190/segam2020-3427891.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractOcean bottom node (OBN) data is a...

The electronic work function is a simple and basic parameter, which can well connect the properties of materials with their behaviors. Three kinds elastic modulus are used to predict pure metals. Different machine learning methods establish regression models, based on linear regression, decision tree, ensemble algorithm, support vector neural network. cross-validation method improve prediction accuracy generalization ability, fit model evaluated by several indicators. results show that...

In this paper, we analyze the relativistic Thomson scattering with few-cycle laser pulses. We conclude that of high energy electrons mono-cycle pulses is capable producing attosecond The calculation shows a 1.5 cycle pulse at wavelength 1 μm, normalized electric field intensity 0.01,and electron factor 50, X-ray 0.2 as can be obtained. also discussed influence carrier-envelop phase offset and initial φin starting to interact optical on radiation spectrum. results demonstrate proper values...

In the traffic field, sign detection and recognition system is an important part of ADAS. this paper, a research on carried out, network established with GTSRB data set as object. A computing accelerator designed "ARM+FPGA" framework; functional modules each are reasonably divided; high-level synthesis tools used to optimize design loop unwinding flow improve throughput speed. The experimental results show that has high accuracy rate in classification. After optimization, processing speed...

This study examined the role of word-level reading skills (decoding) and language comprehension in English as a second comprehension. A total 167 Chinese second-year undergraduates participated study, 44 poor readers 47 typical were screened compared for their performance on tests reading-related cognitive skills. The results showed that (1) scored significantly lower than word listening comprehension, but they comparable terms phoneme segmentation, rapid letter naming fluency; (2) accounted...

The studied deep-water turbidite oil field is located in the western Green Canyon area of Gulf Mexico. features high-dipping Cenozoic sediment truncations against salt flanks. Several attempts have been made to obtain an accurate velocity model using streamer data and a top-down building approach. However, errors uncertainty remained large, resulting PSDM images failed reveal real subsalt structure. In 2019 2020, we pursued Ocean Bottom Node (OBN) acquisition reduce improve reservoir imaging...

In this paper we focus on beacon-based routing optimization of data-gathering wireless sensor networks. Such a network consists sink node and number scattered nodes which send data packets back to the in multihop fashion. Usually messages, denoted as "beacon", are initiated by spread out whole flooding or gossiping. We believe that mechanism selecting upstream relay has great impact packet delivery performance. work several beacon rebroadcasting inspected performance them compared...

Background: In China, because of the growth economically driven rural-to-urban migration, there are lots children in rural area who separating or have separation experience with their parents. Until now, few studies focused on solely maternal and no research studied whether its pattern will affect children’s later psychological status. Aim: The aim this study was to determine early late affects depression dysfunctional attitude middle school students what is role cumulative duration meeting...

Based on the nano-scale devices subsume a profound understanding of complex dynamics small arrays quantum structures, we propose novel approach to signal pattern analysis using an array dots (QD) operating at single electron tunneling (SET) state. Such produce bistable and multi-stable robust behavior, which can be harnessed for unconventional, yet powerful computational concepts. Our methodology combines ultra fast neuromorphic learning algorithm with photon-assisted in QD array. The latter...

In order to improve the power supply stability of marine aquaculture DC brushless generator, a control method generator based on multi-parameter fusion decoupling regulation is proposed, constraint parameter model constructed, and an output load oscillation adopted carry out adaptive steady-state generator.A coupling generators between different frequency systems established.Multidimensional tracking methods are used adjust gain, harmonic dynamic suppression carried realize control.The...

Though many successful deghosting applications have been reported, of acquisitions in shallow water with deep-towed streamers is still challenging. High curvature events cannot be focused properly using a linear Radon transform and as consequence the sparsity constraint performs suboptimally. Furthermore, deep streamer shifts ghost notch to lower frequencies. In this abstract, we present strategy combine spherical wave decomposition plane single algorithm demonstrate its efficiency both...

With the continuous improvement of building intelligent level, surge protective device (SPD) as an important anti-lightning electromagnetic pulse device, its work safety and reliability related to security electronic information systems in directly. The system design development can realize remote monitoring, management early-warning lightning protection device's operating condition. Not only may enhance SPD reduces equipment maintenance cost, simultaneously also improve intelligence level systems.