Modelling and simulation of spatial processes is increasingly used for a wide variety of applications including water resources protection and management, meteorological prevision and forest fire monitoring. As an example, an accurate spatial modelling of a hydrological system can assist hydrologists to answer questions such as: "where does ground water come from?", “how does it travel through ...

Accurately predicting the required spatial resource for aggregate block assembly in shipyard production is difficult due to the following reasons: 1) lack of optimal block on-jig configuration and 2) the dynamic and stochastic nature of production system. Consequently, managerial objectives are seldom achieved without effective production planning and control. In this study, a look-ahead schedu...

Actuators that bend slice lips are commonly used in cross-directional (CD) control systems for paper making and plastic film extrusion. A dynamic model of these actuators is developed which is used to investigate their spatial modes and dynamic responses. The model shows that both the shape and the amplitude of the spatial response depend upon the stiffness of the slice lip. The design of most ...

We examine the problem of tracking dynamic boundaries occurring in natural phenomena using a network of range sensors. Two main challenges of the boundary tracking problem are accurate boundary estimation from noisy observations and continuous tracking of the boundary. We propose Dynamic Boundary Tacking (DBTR), an algorithm that combines the spatial estimation and temporal estimation technique...

Spatial data refer to any data about objects that occupy real physical space. Attributes within spatial databases usually include spatial information. Spatial data refers to the numerical or categorical values of a function at different spatial locations. Spatial metadata refers to the descriptions of the spatial configuration. Application of classical association rule mining concepts to spatia...

Dynamic Single Photon Emission Computed Tomography (dSPECT) is a technique which visualizes changing activity distributions in the human body, using dynamic emission data acquired during a single rotation of a standard SPECT camera system. The reconstruction process in dSPECT is based on nonlinear regularization and optimization techniques, and we presently compare a number of possible problem ...

Robotic manipulators mounted on vehicles are being considered for a number of applications. Since the dynamic performance of these systems is affected by the flexibility of their manipulators’ and vehicles’ suspensions, analytical methods are required to model their dynamic behavior. This paper presents an effective method that models such a system’s spatial dynamic behavior by considering the ...

The exact spatial distribution of impaired cerebral autoregulation in carotid artery disease is unknown. In this pilot study, we present a new approach of multichannel near-infrared spectroscopy (mcNIRS) for non-invasive spatial mapping of dynamic autoregulation in carotid artery disease. In 15 patients with unilateral severe carotid artery stenosis or occlusion, cortical hemodynamics in the bi...

Simple integrate-and-re neurons that accurately reproduce in vitro data from cortical regular spiking cells can display surprisingly sophisticated behavior. To reproduce in vitro f-I plots, voltage after spikes was reset to 5 mV below threshold , and simple spike rate adaptation was added. Small reset results in input sensitivity (high gain) on short time scales; adaptation leads to wide dynami...

This paper examines the asymptotics of the QMLE for unit root spatial dynamic panel data models with …xed e¤ects. When the exogenous variables or …xed e¤ects are included in the DGP, the estimate for the dynamic coe¢ cient is p nT 3 consistent and the estimates of other parameters are p nT consistent, and all of them are asymptotically normal. Also, sum of the contemporaneous spatial e¤ect and ...