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In the era of spatial big data, geographic information system (GIS) faces many opportunities and challenges. The first challenge for future GIS is how to store and manage the spatial big data efficiently. For example, in 2013, the volume of Chinese arable land quality (ALQ) dataset is up to 2.51TB with ESRI Shapefile format, and traditional GIS development pattern with standalone version is not meeting...
Traditional tomography methods are based on a single statistical feature(such as delay difference, variance, etc.) of network as a measure of the shared path length, but the single statistics don't reflect the time-varying of network performance parameters. In this paper, the packet group detection model is used to obtain the end-to-end delay curve in the non-stationary network for the first time...
Ensemble methods use multiple classifiers to achieve better decisions than could be achieved using any of the constituent classifiers alone. However, both theoretical and experimental evidence have shown that very large ensembles are not necessarily superior, and small ensembles can often achieve better results. In this paper, we show how to combine a set of weak classifiers into a robust ensemble...
Traditional method of visiting field and surveying farmers to estimate crop yield has been considered inefficient and impractical especially in cases when fields are not easily accessible. Remote sensing techniques, therefore, has been utilize to overcome these obstacles with good success. Normalize Difference Vegetation Index (NDVI) based models are considered to be most effective and utilized technique...
In this paper, a fractional-order control (FOC) based approach is proposed for piezo-actuated nanopositioning stage. The developed controller is not only to suppress the vibration of the low-damped resonant mode, but also to minimize the tracking error for nanopositioning applications. Firstly, an inverse hysteresis compensator is utilized to compensate for the inherent hysteresis nonlinearity of...
The capital structure remarkably determines the debt paying and refinancing capacity of an enterprise and then influences the future earning level. In this paper, firstly we analyze the conditions and characteristics of the capital structure of 24 listed companies in Hebei Province through the related data from 2006 to 2015. Then, we examine the mainly micro-factors to capital structure by the empirical...
We propose a general modeling framework for learning group dynamics in data collected from multiple information sources and over time. In particular, groups are characterized by specific temporal patterns based on hidden Markov models. Tensor decomposition techniques combined with graphical models are used to extract group information from the observed data.
The identification of phyllosilicates by NASA's CRISM (Compact Reconnaissance Imaging Spectrometer for Mars) strongly suggests the presence of water-related geological processes. A variety of water-bearing phyllosilicate minerals have already been identified by several research groups utilizing spectral enrichment techniques and matching phyllosilicate-rich regions on the Martian surface to known...
The main object of workflow description is to map business requirements quickly and accurately mapped to business process. An approach of business semantic-oriented workflow description method is proposed aiming at the current workflow description method lack of resource allocation means oriented business staff. It provides a description way that business staff familiar with through which business...
Bispectral index (BIS) is a popular technology widely used in hospitals to monitor depth of patients' anesthesia during surgeries. Maintaining a proper, steady state of the patient's BIS level is critical for patient safety. In this paper an autoregressive moving average model is implemented on patient BIS data for the prognosis of the depth of anesthesia. This prognosis will enable anesthesiologists...
With the rapid development of cloud computing technology, the concept of cloud storage application appears. Faced with the unusually large amount of data in the electric power information system and the insufficient data redundancy because of storage space, searching data resources quickly and reducing storage costs become an inevitable need. In this article, the data storage technology based on cloud...
This paper considers the problem of joint blind source separation (J-BSS), which appears in many practical problems such as blind deconvolution or functional magnetic resonance imaging (fMRI). In particular, we establish the necessary and sufficient conditions for the solution of the J-BSS problem by exclusively exploiting the second-order statistics (SOS) of the observations. The identifiability...
Precise control of neural circuits via microstimulation is an indispensable but challenging objective in neuro-engineering. The effect of electrical stimulation is imprecise and has a spatio-temporal blurring. At the neuron level, the effects are obfuscated by the complexity of neural dynamics. This paper proposes an online multiple-input-multiple-output (MIMO) adaptive inverse controller for somatosensory...
Estimation of the order of functional magnetic resonance imaging (fMRI) data is a crucial step in data-driven methods assuming a multivariate linear model. Use of information theoretic criteria for model order detection was proven useful but the sample dependence in fMRI data limits this usefulness. In this paper, we propose an iterative procedure that jointly estimates the downsampling depth and...
The Shitoukoumen Reservoir is the major drinking water resources for the Changchun metropolitan region. The concentration of total suspended matter (TSM) is major water quality parameter that could be retrieved using remotely sensed data. 225 samples were analyzed during 12 times of field works from April 2006 to September 2008, in which the field work conducted on 17th July 2007 and 13th September...
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization, manifold discovery and other application in discrete data. However, LDA alone does not perform well in IR application. We alleviate it by biased parameter estimation, which makes the topics in LDA more independent than standard LDA. We introduced the background for the biased estimation...
During the gasoline engine transient process, both fuel quantity and fuel film parameter change, fuel film dynamics balance in intake pipe is destroyed, which makes the fuel quantity from nozzle and fuel quantity into the cylinder not be equaled. Therefore, fuel film model need to be established accurately in order to control the air fuel ratio accurately. The costumed fuel film model of Aquino is...
Distributed detection mechanism of DDoS (distributed denial of service) attack is often achieved by the corporation between many detection nodes, its final detection result largely depends on the judgements of local nodes. While DDoS attack flows are distributed enough in many links, itpsilas hard to derive exact judgement for every node only by the information collecting from local, consequently...
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