Researching how to combine workflow with Agent in order to improve flexibility and self learning ability is a hotspot of researches because of the needs of the workflow technology and the characteristics of the agent ...
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Knowledge compilation by using the extension rule (KCER) has been recognized as a novel compilation approach, although this method can only deal with static knowledge bases. This paper proposes a novel incremental kno...
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During an epidemic, the spatial, temporal and demographical patterns of disease transmission are determined by multiple factors. Besides the physiological properties of pathogenes and hosts, the social contacts of hos...
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ISBN:
(纸本)9781479943012
During an epidemic, the spatial, temporal and demographical patterns of disease transmission are determined by multiple factors. Besides the physiological properties of pathogenes and hosts, the social contacts of host population, which characterize individuals' reciprocal exposures of infection in view of demographical structures and various social activities, are also pivotal to understand and further predict the prevalence of infectious diseases. The means of measuring social contacts will dominate the extent how precisely we can forecast the dynamics of infections in the real world. Most current works focus their efforts on modeling the spatial patterns of static social contacts. In this work, we address the problem on how to characterize and measure dynamical social contacts during an epidemic from a novel perspective. We propose an epidemic-model-based tensor deconvolution framework to address this issue, in which the spatiotemporal patterns of social contacts are represented by the factors of tensors, which can be discovered by a tensor deconvolution procedure with an integration of epidemic models from rich types of data, mainly including heterogeneous outbreak surveillance, social-demographic census and physiological data from medical reports. Taking SIR model as a case study, the efficacy of the proposed method is theoretically analyzed and empirically validated through a set of rigorous experiments on both synthetic and real-world data.
science and technology literature retrieval system is commonly used by researchers as document retrieval tools. The classic information retrieval models such as Boolean Model [1], Vector Space Model and Probabilistic ...
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science and technology literature retrieval system is commonly used by researchers as document retrieval tools. The classic information retrieval models such as Boolean Model [1], Vector Space Model and Probabilistic model neglect the position of query words in every paper. We propose a weighted term frequency model (WTFM) based on term frequency, and through a simulated annealing algorithm to learn the weighted factor. The results of experiments show that our weighted factors model gets better performance than ordinary models.
Based on the load torque ratio, load / rated speed ratio, the temperature rise ratio and load / motor inertia ratio of servo motor's optimization matching principle, servo motor selection mathematical model of tra...
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Today, with the aid of a model of the matrix, visual matrix estimates, visual elements and visual projective space transformation, we can adjust the robot's ability of recognize visual information for images. On t...
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This paper analyzed the factors which influenced the bearing stability of high-order picking vehicles based on RF Network Sensor Signals, then it established dynamic equation through dynamic-static method. The dynamic...
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In this paper, on the basis of principal component analysis, we use least squares support vector machine (LS-SVM) to predict tRNA. Appearance frequencies of single nucleotide, 2-nucleotides, (G-C)% and (A-T)% were cho...
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Linear system is very seldom in actual control works, so there is more engineering significant of researching on the actual nonlinear system. Time delay phenomenon is the objective phenomenon exists in nature. Neural ...
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Tracking control is to select a control strategy, so that the actual output of the system to be able to track the desired output trajectory, and makes minimal prescribed performance index function. Actually adjustment...
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