We present a method for modeling multiple species distributions simultaneously using Dirich1 let Process random effects to cluster species into guilds. Guilds are ecological groups of 2 species that behave or react similarly to some environmental conditions. By modeling latent 3 guild structure, we capture the cross-correlations in abundance or occurrence of species over 4 surveys. In addition,...

In order to predict storage life of navel orange, The model for the variable regularity of total soluble sugar, total acidity, vitamin C, soluble solids, the sugar-acidity ratio in navel orange according to storage time was established based on BP artificial neural network . The results show that the multi-factor BP artificial neural network model has better predicted effect than single-factor ...

This paper presents a method for detecting an incident motion (e.g., tumble or violent action of a person) in a dynamic background scene. This method is based on the use of spatio-temporal features obtained using a space-time patch (ST-patch). Our approach consists of three steps: 1) dynamic background modeling using a Gaussian mixture model, 2) human regions detection based on Real AdaBoost, a...

We propose a semiparametric approach for testing orthogonality and causality between two infiniteorder cointegrated vector autoregressive IVAR(1) series. The procedures considered can be viewed as extensions of classical methods proposed by Haugh (1976, JASA) and Hong (1996, Biometrika) for testing independence between stationary univariate time series. The tests are based on the residuals of l...

The tracking and forecasting of satellite cloud images are very important in term of satellite cloud images used in weather forecast. An approach on automatic tracking of multi-target cloud cluster based on VFC Snake model is proposed on the basis of contour extraction and analysis of cloud cluster, this method can automatically acquire the new location of the target cloud cluster at each momen...

Animals in groups often exchange calls, in patterns whose temporal structure may be influenced by contextual factors such as physical location and the social network structure of the group. We introduce a model-based analysis for temporal patterns of animal call timing, originally developed for networks of firing neurons. This has advantages over cross-correlation analysis in that it can correc...

We present the essential dynmnic model of the •nesospheric photochemical system (PCS) •'md suggest a step-by-step procedure for elaborating such a model of an arbitrary atmospheric PCS. The model demonstrates the same possibilities ofnonlinear dynamic behavior and qualitatively the same dynamic haracteristics a the corresponding original model, but is much simpler than the latter. We show the a...

Construction of the new 350GHz compact range has been completed and it is able to collect fully polarimetric scaled Xband radar data with 6-inch full-scale range resolution. In order to investigate the reproduction of X-band data using scale models, fully polarimetric high-resolution radar signature data has been collected on several targets which include a high-fidelity in-house built 1/16 sca...

In this chapter we develop a mathematical model for stochastic gene regulation that is motivated by previous work on noise in λ cI repressor [19]. Simulated time-series data are used to predict features of cross correlation functions and to understand the effect of active and inactive forms of regulation. We extend the simulation-based analysis by developing analytic solutions to arbitrary cros...

S U M M A R Y We demonstrate a method for the empirical construction of 2-D surface wave phase traveltime finite frequency sensitivity kernels by using phase traveltime measurements obtained across a large dense seismic array. The method exploits the virtual source and reciprocity properties of the ambient noise cross-correlation method. The adjoint method is used to construct the sensitivity k...