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Hadoop is now the de facto standard for storing and processing big data, not only for unstructured data but also for some structured data. As a result, providing SQL analysis functionality to the big data resided in HDFS becomes more and more important. Hive is a pioneer system that supports SQL-like analysis to the data in HDFS. However, the performance of the early-version of Hive is not satisfactory...
This paper focuses on probabilistic analysis of hybrid energy systems (HES), which integrate multiple energy inputs and multiple energy outputs for effective management of variability in renewable energy and grid demand. To characterize the volatility, a statistical model combining Fourier series and autoregressive moving average (ARMA) is used to generate synthetic weather condition (e.g., wind speed)...
With RFID applying in library, this paper develops an Internet of Things System for Library Materials Management using Android based UHF mobile reader (Android mobile reader) as its entry to increase the efficiency of library materials management. The functions of the Internet of Things System for Library Materials Management include user identification, inventorying, adding, refreshing, searching,...
Deep Web contains a vast amount of valuable information, which can be picked and exploited by data integration. A crucial step of Deep Web integration is discovering semantic correspondences over multiple Web databases, which known as schema matching. In this paper, we propose a schema matching method based on concept-word and semantic-heterogeneity for Deep Web. Firstly, the method preprocesses schema...
Radio frequency identification (RFID) is an automatic identification technology that brings a revolutionary change to quickly identify tagged objects from the collected tag IDs. Considering the misplaced and newly added tags, fast identifying such unknown tags is of paramount importance, especially in large-scale RFID systems. Existing solutions can either identify all unknown tags with low time-efficiency,...
Waveform parameter agility is one of the effective approaches in improving the low probability of identification (LPID) performance for airborne radar. In this paper, we employ the identification capacity theory to investigate the design criterion of a set of available hopping frequencies with uniform distribution, including the designment of optimal frequency number and frequency interval. Firstly,...
Based on locally linear embedding (LLE) manifold learning theory, which assumes that the low-resolution (LR) manifold and high-resolution (HR) manifold spaces share the same local geometry structure, neighbor embedding based super-resolution(SR) methods search K-nearest neighbors(K-NN) of LR patch, then use the counterpart HR patches to estimate HR patch. The primary issue of these methods is how...
Based on the assumption that low-resolution (LR) and high-resolution (HR) patch manifolds are locally isometric, the neighbor embedding based super-resolution algorithms try to preserve the local geometry of the patch manifold for the reconstructed HR patch manifold. However, due to “one-to-many” mappings between LR and HR images, the neighborhood relationship of the LR patch manifold can't reflect...
Face recognition has become one of the hot research topics in pattern recognition and image processing in the recent several years, as a result of the wide application in the areas of security control and human-machine interaction. And it has been recognized as the most simplest and non-intrusive technology without hazardous problems, compared to other biometric recognition technology, such as fingerprint...
The traditional learning resources system gathered a mass of heterogeneous data. It is deficient in intelligence and personalization. Its development is complicated and long period. Learners acquire desired resources only through tedious frequent search. In view of shortcomings found in traditional learning resources system, this paper applied data mining technologies to the research of intelligent...
On-demand broadcast is an effective data dissemination approach in mobile computing environments. Previous studies on on-demand broadcast were under the assumption that each client requests only one data item at a time. This assumption may not be practical for the increasingly sophisticated mobile applications. In this paper, we focus on multi-item requests. We analyze the request overlapping characteristic...
The quality of architectural design mostly rested with the individual performance of architects in the past. Today, with the increasing development of technical level, the quality of a design project more than ever before entails the cooperation among different professions involved and the teamwork of a professional team. The engineers and scholars, however, tend to disregard the errors in cross-professional...
This paper presents an application platform for heterogeneous wireless sensor networks (WSNs) and a management architecture to this network. The purpose of this platform is to provide both academia and industry a large-scale experimental environment to test and to verify their newly developed WSN systems in the future. In a first step two types of application scenario have been depicted. The next...
Aimed at the puzzle to realize exchange and integration for heterogeneous data, this paper proposed a sort of data exchange model of heterogeneous database based on middleware unified platform. Based on the mapping of model drive, the data exchange could be realized by a concrete model. Its thought was to express XML document being a tree composed by data object, in which each element type corresponded...
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