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Since early 2012, the Cross-track Infrared Sounder (CrI)S on board the Suomi National Polar-Orbiting Partnership (S-NPP) Satellite has continually provided the hyperspectral infrared observations for profiling atmospheric temperature, moisture and greenhouse gases. In this study, the CrIS Sensor Data Record (SDR) data are improved for climate applications with its fine-tuning of calibration coefficients...
Timely and accurate identification and classification of victims in earthquakes is crucial for improving rescue efficiency, but available information about victims and their surrounding environment is often vague and imprecise. Rescue wings is a web-based intelligent system that monitors and analyzes the statuses of identified victims to support decision making in earthquake rescue operations. A key...
By studying the shortage of the traditional fixed step size least mean square (LMS) algorithm. This paper builds a nonlinear function relationship between μ and the error signal by reviewing the existing algorithm and presents a novel variable step size LMS adaptive filtering algorithm by improving Sigmoid function based on translation transformation. The selective of parameters and the performance...
Based on the electro-mechanical impedance (EMI) technology for structural health monitoring, model experiments were carried out to study the damage identification in a steel beam which is widely used in structural engineering. A precise impedance analyzer HP4294A was used to extract and analyze the electricity admittance signals in different frequency domain from the original undamaged and damaged...
Data prefetching is an effective way to accelerate data access in high-end computing systems and to bridge the increasing performance gap between processor and memory. In recent years, the context based data prefetching has received intensive attention because of its general applicability. In this study, we provide a preliminary analysis of the impact of orders on the effectiveness of the context-based...
To vehicle development problem, setting development targets is mainly based on the benchmark test data of competitors. Usually, the target setting is subjective and ambiguous. To reform the method, fuzzy decision-making matrices were established based on Analytic Hierarchy Process (AHP), hence, the comfort targets were set quantitatively. Then, the improved radar chart was used to make comprehensive...
While computing speed continues increasing rapidly, data-access technology is lagging behind. Data-access delay, not the processor speed, becomes the leading performance bottleneck of high-end/high-performance computing. Prefetching is an effective solution to masking the gap between computing speed and data-access speed. Existing works of prefetching, however, are very conservative in general, due...
Recommender systems are significant for web based e-commerce, and collaborative filtering (CF) algorithms are proved to be the most successful recommendation techniques. For CF algorithms, the similarity index is the heart, and many indexes have been proposed. Recently,with the development of complex networks, the structure based similarity indexes have become a hot topic . In this paper, we implemented...
Comprehensive consideration of the financial indicators and non-financial factors, establishing the effective financial early-warning system is the important aspect of modern enterprise financial management. On one hand, this paper based on the AHP method makes qualitative indexes quantitative, and thinks the non-financial factors have a influence on financial early-warning system; On the other hand,...
Data prefetching is an effective way to bridge the increasing performance gap between processor and memory. As computing power is increasing much faster than memory performance, we suggest that it is time to have a dedicated cache to store data access histories and to serve prefetching to mask data access latency effectively. We thus propose a new cache structure, named Data Access History Cache (DAHC),...
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