Geospatial services with different functions are assembled together to solve complex problems. Different taxonomies are developed to categorize these services into classes. As differences in granularity and semantics exist among these taxonomies, the identification of services across different taxonomies has become a challenge. In this paper, an approach to identify geospatial services across heterogeneous taxonomies is proposed. Using formal concept analysis, existing heterogeneous taxonomies are decomposed into semantic factors and their various combinations. With these semantic factors, a super taxonomy is established to integrate the original heterogeneous taxonomies. Finally, with the super taxonomy as a cross-referencing system, geospatial services with classes in original taxonomies are identifiable across taxonomies. Experiments in service registries and a social media-based spatial-temporal analysis project are presented to illustrate the effectiveness of this approach.
To simplify the design & verification complexity and speed up design, a data flow driven hardware description method and its circuit synthesis based on operators are proposed. The behavior of each data is described precisely using a high level abstract language which is quite similar to ANSI C. The compilation tool ReCom compiles data flow driven description into circuit based on operators. There are four kinds of operators to implement circuit, and each operator has the attribution of self-synchronization by using handshake protocol to exchange data. A FFT design is given. Compared with the design using current design methodology, its speed is faster but with a loss of area.
Algorithm specifications drive the computation capability requirements of processor in wearable and portable medical devices. This paper presents an embedded dual-core processor, named dual-core processor unification (IMS-DPU), in which two PKU-DSP II RISC cores are embedded for increased computation complexity and enhanced functionality as well as a snoop control unit (SCU) to maintain cache coherency and an on-chip debug (OCD) unit to support in-circuit debug. The instruction set is specifically extended for medical electronics applications, and abundant inter-core communication mechanisms are provided. The redesigned control path reduces the area and power consumption. FPGA prototyping results show the correctness of the design, and it is synthesized by CSMC 180nm CMOS technology process with a clock frequency of 100 MHz and 999.5K equivalent logic gates, including 42KB memory.
Several researchers have studied the source parameters of the 2005 Fukuoka (northwestern Kyushu Island, Japan) earthquake (Mw 6.6) using teleseismic, strong motion and geodetic data. However, in all previous studies, errors of the estimated fault solutions have been neglected, making it impossible to assess the reliability of the reported solutions. We use Bayesian inference to estimate the location, geometry and slip parameters of the fault and their uncertainties using Interferometric Synthetic Aperture Radar and Global Positioning System data. The offshore location of the earthquake makes the fault parameter estimation challenging, with geodetic data coverage mostly to the southeast of the earthquake. To constrain the fault parameters, we use a priori constraints on the magnitude of the earthquake and the location of the fault with respect to the aftershock distribution and find that the estimated fault slip ranges from 1.5 to 2.5 m with decreasing probability. The marginal distributions of the source parameters show that the location of the western end of the fault is poorly constrained by the data whereas that of the eastern end, located closer to the shore, is better resolved. We propagate the uncertainties of the fault model and calculate the variability of Coulomb failure stress changes for the nearby Kego fault, located directly below Fukuoka city, showing that the main shock increased stress on the fault and brought it closer to failure.
Earth and Space Science Open Archive This preprint has been submitted to and is under consideration at Journal of Geophysical Research - Solid Earth. ESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Microseismicity along Xiaojiang Fault Zone (China) and the Characterization of Interseismic Fault BehaviorAuthorsYijianZhouiDHanYueShiyongZhouLihuaFangYunZhouLi-ShengXuiDZimingLiuTengWangiDLiZhaoiDAbhijitGhoshSee all authors Yijian ZhouiDCorresponding Author• Submitting AuthorDepartment of Earth and Planetary Sciences, UC RiversideiDhttps://orcid.org/0000-0002-7205-1769view email addressThe email was not providedcopy email addressHan YueBeijing Universityview email addressThe email was not providedcopy email addressShiyong ZhouPeking Universityview email addressThe email was not providedcopy email addressLihua FangInstitute of Geophysics, China Earthquake Administrationview email addressThe email was not providedcopy email addressYun ZhouInstitute of Geophysics, China Earthquake Administration, Beijing, Chinaview email addressThe email was not providedcopy email addressLi-Sheng XuiDInstitute of Geophysics, China Earthquake AdministrationiDhttps://orcid.org/0000-0003-0765-7307view email addressThe email was not providedcopy email addressZiming LiuInstitute of Theoretical and Applied Geophysics, Peking University, Beijing, China.view email addressThe email was not providedcopy email addressTeng WangiDPeking UniversityiDhttps://orcid.org/0000-0003-3729-0139view email addressThe email was not providedcopy email addressLi ZhaoiDPeking UniversityiDhttps://orcid.org/0000-0002-0950-6863view email addressThe email was not providedcopy email addressAbhijit GhoshUniversity of California, Riversideview email addressThe email was not providedcopy email address
SAR interferometry (InSAR) has emerged in the big-data era, particularly benefitting from the acquisition capability and open-data policy of ESA’s Sentinel-1 SAR mission. A large number of Sentinel-1 SAR images have been acquired and archived, allowing for the generation of thousands of interferograms, covering millions of square kilometers. In such a large-scale interferometry scenario, many applications actually aim at monitoring localized deformation sparsely distributed in the interferogram. Thus, it is not effective to apply the time-series InSAR analysis to the whole image and identify the deformed targets from the derived velocity map. Here, we present a strategy facilitated by the deep learning networks to firstly detect the localized deformation and then carry out the time-series analysis on small interferogram patches with deformation signals. Specifically, we report following-up studies of our proposed deep learning networks for masking decorrelation areas, detecting local deformation, and unwrapping high-gradient phases. In the applications of mining-induced subsidence monitoring and slow-moving landslide detection, the presented strategy not only reduces the computation time, but also avoids the influence of large-scale tropospheric delays and unwrapping errors. The presented detection-first strategy introduces deep learning to the time-series InSAR processing chain and makes the mission of operationally monitoring localized deformation feasible and efficient for the large-scale InSAR.
Significance The Songpan-Ganzi terrane lies in the central-east of the Tibetan Plateau, which was considered a stable block in some tectonic models. Its deformation mode is of crucial importance for understanding the evolutionary history and seismic hazard of the plateau. The recent Maduo earthquake occurred inside the terrane. We resolve a bilateral rupture process with distinct super- and subshear rupture modes for this event. We also find that pervasive folding structures that are aligned by shear deformation in the current Songpan-Ganzi terrane are responsible for the seismic wave anisotropy and shear strain orientation in its upper crust. Its deformation mode can be classified as distributed simple shear, which receives shear loads from side walls and produces internal earthquakes.
ContextGlucose-insulin-potassium (GIK) infusion is a widely applicable, low-cost therapy that has been postulated to improve mortality in patients with acute ST-segment elevation myocardial infarction (STEMI). Given the potential global importance of GIK infusion, a large, adequately powered randomized trial is required to determine the effect of GIK on mortality in patients with STEMI.ObjectiveTo determine the effect of high-dose GIK infusion on mortality in patients with STEMI.Design, Setting, and ParticipantsRandomized controlled trial conducted in 470 centers worldwide among 20 201 patients with STEMI who presented within 12 hours of symptom onset. The mean age of patients was 58.6 years, and evidence-based therapies were commonly used.InterventionPatients were randomly assigned to receive GIK intravenous infusion for 24 hours plus usual care (n = 10 091) or to receive usual care alone (controls; n = 10 110).Main Outcome MeasuresMortality, cardiac arrest, cardiogenic shock, and reinfarction at 30 days after randomization.ResultsAt 30 days, 976 control patients (9.7%) and 1004 GIK infusion patients (10.0%) died (hazard ratio [HR], 1.03; 95% confidence interval [CI], 0.95-1.13; P = .45). There were no significant differences in the rates of cardiac arrest (1.5% [151/10 107] in control and 1.4% [139/10 088] in GIK infusion; HR, 0.93; 95% CI, 0.74-1.17; P = .51), cardiogenic shock (6.3% [640/10 107] vs 6.6% [667/10 088]; HR, 1.05; 95% CI, 0.94-1.17; P = .38), or reinfarction (2.4% [246/10 107] vs 2.3% [236/10 088]; HR, 0.98; 95% CI, 0.82-1.17; P = .81). The rates of heart failure at 7 days after randomization were also similar between the groups (16.9% [1711/10 107] vs 17.1% [1721/10 088]; HR, 1.01; 95% CI, 0.95-1.08; P = .72). The lack of benefit of GIK infusion on mortality was consistent in prespecified subgroups, including in those with and without diabetes, in those presenting with and without heart failure, in those presenting early and later after symptom onset, and in those receiving and not receiving reperfusion therapy (thrombolysis or primary percutaneous coronary intervention).ConclusionIn this large, international randomized trial, high-dose GIK infusion had a neutral effect on mortality, cardiac arrest, and cardiogenic shock in patients with acute STEMI.
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