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Accurate precipitation data with high spatial resolution is important for hydrological, meteorological, and environmental applications. Tropical Rainfall Measuring Mission (TRMM) provides multiple precipitation products with a spatial resolution of 0.25°, and the resolution is too coarse to meet the requirements for hydrological study on local regions and watersheds scale. In this paper, geographically...
Conventional iris recognition using a full frontal iris image has reached a very high accuracy rate. In this paper, we focus on processing off-angle iris images. Previous research has shown that it is possible to correct off-angle iris images, but knowledge of the angle was needed. Very little work has focused on iris angle estimation which can be used for angle correction. In this paper, we describe...
Abdominal aortic aneurysm (AAA) rupture is believed to occur when the mechanical stress acting on the wall exceeds the strength of the wall tissue. In endovascular aneurysm repair, a stent-graft in a catheter is released at the aneurysm site to form a new blood vessel and protect the weakened AAA wall from the pulsatile pressure and, hence, possible rupture. In this paper, we propose a framework to...
Sensor networks are a sensing, computing and communication infrastructure that are able to observe and respond to phenomena in the natural environment and in our physical and cyber infrastructure. In this paper, we investigate how the sensor network performs in the case when three events move with special movement path. We compare the simulation results for three cases: stationary, random and simple...
In this paper, we investigate how the sensor network performs in the case when the event moves with special movement path. We compare the simulation results for four scenarios: when the event is stationary, moving randomly, moving with simple 4 path and boids path. The simulation results have shown that for the case when event is moving randomly the performance is the worst in the four scenarios....
In this paper, the game between government and real estate developers is modeled based on nonlinear dynamical equations. In the model, chaotic behavior is observed, and the time-delayed feedback control (DFC) method is introduced to control chaos to converge to the equilibrium point within minimum number of iterations. Furthermore, a method of optimizing the regulating parameters is presented. In...
A strategy for trajectory design, motion camouflage, is introduced within the context of orbital relative motion. At first the equations of orbital motion for this approach are developed. The control strategy is then implemented using both an impulsive and continuous approach. A number of parameters are then optimized to minimize the fuel mass. The simulation results reveal that the predator successfully...
What factors will affect the consumer's purchase decision-making is a very complex issue, it has also become a consumer behavior research focus. In this paper, the consumer online shopping from the reality of the technology acceptance model based on online consumer purchase decision-making model designed to enrich the content of this field of theoretical and practical development of e-commerce market...
Sensor networks are a sensing, computing and communication infrastructure that are able to observe and respond to phenomena in the natural environment and in our physical and cyber infrastructure. The sensors themselves can range from small passive micro-sensors to larger scale, controllable weather-sensing platforms. In order to simulate Wireless Sensor Networks (WSNs), we implemented a simulation...
In this paper, we consider the behavior of a wireless sensor network for TwoRayGround and Shadowing radio models for the case of mobile event. By means of simulations, we analyse the performance of AODV protocol. In the previous work, we considered that the event node is stationary in the observation field. In this work, we want to investigate how the sensor network performs in the case when the event...
In this paper we present a novel silhouette-based method to estimate 2D human pose. It takes a pre-defined human skeleton model as the prior information and a video sequence as the data source, and estimates human pose in each frame by the following steps: Firstly, the Gaussian Mixture Background Model (GMM) is adopted to extract silhouette from an image and this silhouette will be the human body...
Presently, there are many research work for sensor networks. In our previous work, we implemented a simulation system for sensor networks. But, we considered that the event node is stationary in the observation field. However, in many applications the event node may move. For example, in an ecology environment the animals can move randomly. In this work, we want to investigate how the sensor network...
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