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Twenty-first century as an important symbol of the era of the knowledge economy and big data, Internet and networking have a rapid development and have become indispensable data sources in people's lives. Besides, because of its convenience and quickness, these are increasingly applied in more and more aspects. Among them, POI as a true representative of the geographical entity on the network map...
Threaded debate forums have become one of the major social media platforms. Usually people argue with one another using not only claims and evidences about the topic under discussion but also language used to organize them, which we refer to as shell. In this paper, we study how to separate shell from topical contents using unsupervised methods. Along this line, we develop a latent variable model...
Knowledge Graph is a powerful tool to manage large scale knowledge, and is an important means to deal with the problem of the knowledge fragment. Knowledge Graph can be applied to Semantic Search, Question Answering System, Deep Reading and other. The current research mainly focuses on the information fusion of broad-spectrum knowledge, and aims at improving the recall ratio of the knowledge. Based...
There are two shortages in usual methods for agricultural land evaluation: (1) too many manual interferences into the calculating procession, (2) the relatively large differences of partial units are concealed in certain factors. We designed a hyper graph clustering model in this paper based on fuzzy frequent item sets to conduct the evaluation for quality of agricultural land. The database for land...
This paper introduces the design of the lab intelligent remote monitoring system based on S3C2440 ARM microprocessor. Aiming at the issue that document storage brings many troubles to the embedded developments and the traditional databases can not be used in the embedded application development, it focuses on the embedded database storage with SQLite as the core and studies the feasibility in the...
Image multi-scale edge detection based on anti-symmetrical biorthogonal wavelet is given detailedly in theory, Especially an algorithm of wavelet decomposition in which multi-scale edge can be detected is put forward. Based on above using different kinds of wavelet decomposition data such as approximate coefficients and multi-scale edge image, a moving object detection approach in active video surveillance...
Expert finding is the task of identifying persons with expertise on a given topic. Existing methods try to model the dependencies between candidates and terms with distance measure or sequential measure, which have been proven to be effective. However, to the best of our knowledge, no work has been conducted on the combination of the two dependencies. In this paper, we propose a language model based...
This paper proposes a novel vertical format-based frequent pattern mining algorithm HBMFP. HBMFP adopts a hybrid search strategy of prefix-depth-first and depth-first searches based on the correlative array, which adequately makes use of the advantages of the both searches to effectively reduce yielded candidates as the same time keeps simplicity and lower memory cost. HBMFP uses bitmaps to store...
With a tremendous growth of online auction researches over the last several years, more and more scholars want to know what factors make individual bidders pay more or less for the same item in online auctions. Following the idea of e-commerce which considers traditional market and e-market as two separate markets, most of the researches focus on the factors of e-market. However, a customer exists...
Based on the coordinate transformation theory, arbitrary prism invisibility cloaks which is composed of complex, anisotropic and inhomogeneous materials are designed, the permittivity and permeability tensors of the materials are deduced for arbitrary prism cloaks. Such cloaks should be effective at all frequencies. Numerical simulation results are given to validate the arbitrary prism invisibility...
Blind source separation has common considerable attention from the signal processing community and the neural network community. It is becoming a hot topic. The independent component analysis (ICA) is a new method of blind source separation which is developing in these years. In this paper,a fast algorithm of blind source separation based on ICA is introduced,the result of experiment show that Fast...
At present, the education plays an important role in the reformation of prisoner. This paper proposes a solution to help to educate and reform the prisoner, and designs a prisoner education system using remote audio and video based on it. This system implements the education to the prisoner by audio and video conversation, law documents and can obtain the prisoner's psychological feedbacks in a short...
A communication system using multilayer coded modulation is introduced to detail the basic principles of hierarchical combined equalization based on linear minimum mean square error (MMSE) algorithm. A simplified hierarchical equalizer's extrinsic information of base-layer for 4-QAM multilayer coded modulation is presented. A new hierarchical equalization method of base layer is applied to multilayer...
To investigate the expression of HLA gene mRNA in peripheral blood mononuclear cell (PBMC) of patients with gastric cancer. HLA-A, -B, -DP, -DR, -G mRNA expression levels in 43 patients and 22 healthy individuals were performed by reverse transcriptase polymerase chain reaction(RT-PCR) and real-time RT-PCR. The expressions of HLA-A, -B,-G mRNA in gastric cancer group were significantly lower than...
Coherent speckle is an important feature in Synthetic Aperture Radar (SAR) image. Testing the property of speckle is effective for urban SAR image performance evaluation. Through correlation analysis for speckle measures, this paper proposes a measurement for speckle feature based on parametric hypothesis test. Firstly selects homogeneous areas in tested SAR image with manual mode and estimates the...
The key theorem of statistical learning theory provides a theoretical basis for the applied research of support vector machine etc., so it is one of the most important theorems in learning theory. By combining fuzzy set with statistical learning theory, the key theorem of learning theory is generalized. We replace random samples with fuzzy samples. Fuzzy empirical risk minimization principle is proposed...
Along with the prevailing of mobile devices, the demand for efficient power consumption has become one of the major issues in designing embedded system. Dynamic voltage scaling (DVS) is a technique that can reduce energy consumption by changing the processor voltage levels dynamically. Fixed priority with preemption threshold (FPPT) scheduling is a scheduling policy that includes preemptive and non-preemptive...
To realize the information integration of CAD/CAPP/CAM, itpsilas important to apply the feature recognition method to the transfer and share of part information, but itpsilas still very difficult to apply the feature recognition method to handle the complicated box part. This paper presents a new method to extract the box part information, called as ldquofeature naming methodrdquo, this method can...
The vertical association rules mining algorithm is an effective mining method recently, which makes use of support sets of frequent itemsets to calculate the support of candidate itemsets. It overcomes the disadvantages that Apriori and its relative algorithms produce large amount of candidate itemsets and require scanning database many times. The vertical association rules mining algorithm needs...
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