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In this paper, the ELF atmospheric noise measured by a low-temperature superconducting receiver is analyzed and modeled. The measured data are firstly reconstructed by wavelet transform to remove baseline wandering. And then the harmonics radiated by power line are estimated and subtracted by least square estimation. After preprocessing the measured data, Hall model and symmetric a stable (SaS) distribution...
Egocentric vision has received increasing attention in recent years due to the vast development of wearable devices and their applications. Although there are numerous existing work on egocentric vision, none of them solve Optical Music Recognition (OMR) problem. In this paper, we propose a novel optical music recognition approach for egocentric device (e.g. Google Glass) with the assistance of MIDI...
With the continuous and rapid development of online questionnaire survey, the low response rate has plagued operating companies. To solve this problem, this paper proposed an effective user invitation model by our improved clustering algorithm, which analyzed large-scale historical user behavior characteristic data, including users' quality data, users' preferential data and users' similarity data...
Securing provenance has recently become an important research topic, resulting in a number of models for protecting access to provenance. Existing work has focused on graph transformation mechanisms that supply a user with a provenance view that satisfies both access control policies and validity constraints of provenance. However, it is not always possible to satisfy both of them simultaneously,...
With the development of Service Computing and Big Data research, more and more heterogeneous data generated in the process of Service Computing attracts our attention. Combining correlated data sources may help improve the performance of a given task. For example, in service recommendation, one can combine (1) user profile data (e.g. Genders, age, etc.), (2) user log data (e.g., Click through data,...
The design objective of wireless mesh networks is generally focused on transmitting data packets as many as possible in a given time. Wireless mesh network models may be categorized into many different types according to different programming objectives, wherein the link scheduling model achieves the purpose of effective transmission of packets by certain transmission constraints and the programming...
Expert knowledge in the criminal investigation area is mostly empirical and tacit, which brings great difficulties to construct criminal investigation decision support system (CIDSS). Case-based reasoning (CBR) is a kind of incremental learning method that records successful-solved cases with their experiences to effectively overcome the bottleneck of knowledge acquisition and be helpful to solve...
On the condition that it is difficult for small and medium enterprises (SMEs) to finance from specialized financial institutions such as banks, trade credit has been an important financing channel for SMEs. On the basis of theoretical research on trade credit, several hypotheses on the influencing factors of SMEs trade credit financing are proposed in this paper. And the panel data of 87 samples of...
This paper presents an integration framework of wisdoms of experts with different field knowledge and experiences for complex system analysis . We call these experts as realm experts in the paper. Hall for workshop of meta-synthetic engineering (HWME), proposed by QIAN Xue-sen, is an accepted important method for complex system analysis. After briefly reviewing the research situation of complex system...
Support vector machines have been extensively used in machine learning because of its efficiency and its theoretical background. This paper focuses on nu-transductive support vector machines for classification (nu-TSVC) and construct a new algorithm - Unconstrained nu-Transductive Support Vector Machines (Unu-TSVM). After researching on the special construction of primal problem in nu-TSVM, we transform...
Many kinds of quick look imaging algorithms of spaceborne SAR are compared. And according to certain parameters of a spaceborne SAR system, optimized real-time imaging algorithm is proposed.Based on DSP parallel processing technology, the design and implementation of a real-time quick look system is presented. The system is used to fulfill 1/4 resolution of range and four-look of azimuth real-time...
Sink mobility has become an increasingly important requirement of various sensor network applications. Handling such mobile sink conditions brings new challenges to large-scale sensor networking. This investigation proposed a hybrid-structure routing protocol (HSRP) that combines the benefits of grid-based and cluster-based structures. Grid-based structure is designed to solve the cluster head selection...
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