Remote sensing images acquired by satellite sensors are inevitably obscured by clouds and cloud shadows, which obscure true ground reflectance information in those areas. Therefore, to ensure the accuracy and reliabil...
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It is quite a great challenge for Context-aware recommender systems (CARS) to generate accurate recommendations with only a few available none-zero contextual user preferences. This paper presents a new approach to al...
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It is quite a great challenge for Context-aware recommender systems (CARS) to generate accurate recommendations with only a few available none-zero contextual user preferences. This paper presents a new approach to alleviate this high sparsity problem by applying the Higher order singular value decomposition (HOSVD) technique. Firstly, it constructs an N-order tensor to represent multidimensional contextual user preferences and decompose it into (N - 2) 3-order tensors according to different types of context (such as time, location and activity). Secondly, it introduces HOSVD to automatically discover the latent associations among these different 3-dimensional objects and predicts unknown unidimensional contextual user preferences. Finally, it calculates every contextual influence coefficient that each type of context factor influences user preferences and then constructs a new N-order tensor using weighted linearization method in order to provide recommendations. Experimental evaluation on a simulated personalized mobile services environment demonstrates the efficacy of our approach against the other baseline ones.
This paper presents an approach to architectural knowledge management that does not assume existing architectural design decisions or pattern applications are documented as architectural knowledge, but benefits from m...
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This work investigates an adaptively updating rule of the penalty in alternating direction method (ADM) for l1 problem. The adjusting criterion is motivated by the iterative behaviors of the objective and residue of c...
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Spray drying is a common a technique in process engineering, involving analysis tasks for large-scale multiphysics mechanisms, typically addressed using computational Fluid Dynamics (CFD) software based on Finite Elem...
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Spray drying is a common a technique in process engineering, involving analysis tasks for large-scale multiphysics mechanisms, typically addressed using computational Fluid Dynamics (CFD) software based on Finite Element Method (FEM) simulation. To enable e.g. real-time control schemes to take into account spatio-temporal behavior, efficient Reduced Order Models (ROMs) need to be identified, which in the best case retain physical information and interpretability as much as possible. In this paper, this problem is approached for a simplified two-dimensional spray dryer CFD model. Two different versions of Dynamic Mode Decomposition with control (DMDc) are compared, namely (i) a direct application of DMDc to snapshot data for temperature and humidity profiles, including droplet populations as moving and distributed inputs, and (ii) an adaptation exploring structure preservation based on the physical insight to the underlying mechanisms. It turns out that for the presented case study the structure preserving DMDc yields improved results.
Endoscopic disease severity assessment is a critical component in the management of ulcerative colitis patients. Endoscopic evaluation, on the other hand, suffers from significant intra-observer and inter-observer dif...
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In the frame of fully nonlinear potential flow theory,series solutions of interfacial periodic gravity waves in a two-layer fluid with free surface are obtained by the homotopy analysis method(HAM),and the related wav...
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In the frame of fully nonlinear potential flow theory,series solutions of interfacial periodic gravity waves in a two-layer fluid with free surface are obtained by the homotopy analysis method(HAM),and the related wave forces on a vertical cylinder are *** solution procedure of the HAM for the interfacial wave model with rigid upper surface is further developed to consider the free surface *** forces of nonlinear interfacial periodic waves are estimated by both the classical and modified Mori-son *** is found that the estimated wave forces by the classical Morison equation are more conservative than those by the modified Morison’s formula,and the relative error between the total inertial forces calculated by these two kinds of Morison’s formulae remains over 25%for most cases unless the upper and lower layer depths are both large *** demonstrates that the convective acceleration neglected in the classical Morison equation is rather important for inertial force exerted by not only internal solitary waves but also interfacial periodic *** of these should further deepen our understanding of internal periodic wave forces on a vertical marine riser.
Research on debiased recommendation has shown promising results. However, some issues still need to be handled for its application in industrial recommendation. For example, most of the existing methods require some s...
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Wind field forecasting is crucial for human activities, but numerical weather prediction still has room to improve accuracy. In this paper, we formalize wind field forecast correction as a spatiotemporal sequence pred...
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The emergence of big data has experienced a significant increase in both the variety and volume of data which prompted the development of faster, more reliable storage solutions. The primary objective of this study is...
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ISBN:
(纸本)9798350370027;9798350370034
The emergence of big data has experienced a significant increase in both the variety and volume of data which prompted the development of faster, more reliable storage solutions. The primary objective of this study is to investigate how varying latencies of diverse storage media impact the performance of a representative KVS in RocksDB and to ascertain whether employing lower-cost storage media at the bottom levels can lead to efficient space utilization and cost savings. We implement tiered SSD storage into RocksDB to analyze the trade-offs in employing a diversified setup. Our findings reveal that, despite differences in latency, RocksDB demonstrates remarkable resilience in mitigating the impact of latency variations. Furthermore, to facilitate better storage utilization, we take advantage of RocksDB's flexibility by utilizing different compression techniques in tiered storage while considering their characteristics. Results show that while our strategy does not overcome the performance of Optane SSD, it has a negligible difference with NVMe SSD in terms of write and read throughput. With hybrid compression, compared to SATA SSD, the tiered storage demonstrates a difference of 13.8 MBps in write and 3.86 MBps in read workloads. It also provides a cost-efficient storage option with cost similar to that of SATA SSD but with performance comparable to NVMe SSD. This research offers valuable guidance for organizations aiming to optimize their storage infrastructure and reduce storage upgrade costs while maintaining database efficiency.
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