In this paper, we introduce a novel high bit rate LSB Picture information concealing system. The fundamental thought of the proposed LSB computation is information installing that causes negligible implanting contortion of the host picture. Utilizing the proposed two-stage result, information concealing bits are inserted into higher LSB layers, resulting in expanded vigor against clamor expansi...

The invasions of non-native species of vegetation pose significant threats to natural environments at all geographical scales. Saltcedar has been commonly treated as one of the several most threatening invasive species in U.S. in the next ten years. The spatial extent and density of infestation by saltcedar in the Rio Grande floodplain has been poorly understood in the past. Remote sensing prov...

Wildfires have significant impact on both ecosystems and human society. To effectively manage wildfires, simulation models are used to study and predict wildfire spread. The accuracy of wildfire spread simulations depends on many factors, including GIS data, fuel data, weather data, and high-fidelity wildfire behavior models. Unfortunately, due to the dynamic and complex nature of wildfire, it ...

This work describes a two stages prediction method for wildland fire growth prediction. Proposed method takes advantege of genetic algorithms in order to develope a high performance and scalable application. Usually, a prediction is made using a forest fire simulator which receives several inputs (fire environment description) and it returns the state of the fire for a later instant of time. Ha...

Wildfires have significant impact on both ecosystems and human society. To effectively manage wildfires, simulation models are used to study and predict wildfire spread. The accuracy of wildfire spread simulations depends on many factors, including GIS data, fuel data, weather data, and high-fidelity wildfire behavior models. Unfortunately, due to the dynamic and complex nature of wildfire, it ...

We present a novel data visualization that displays the contact trace of the spread of an infection. This visualization presents the spread as a radial organizational chart, where each node is an infected person, and the distance from the root to a node is proportional to time. We use real registration information for a population of students at a small college to generate a social network that...

In this paper we study steganalysis, the detection of hidden data. Specifically we focus on detecting data hidden in grayscale images with spread spectrum hiding. To accomplish this we use a statistical model of images and estimate the detectability of a few basic spread spectrum methods. To verify the results of these findings, we create a tool to discriminate between natural “cover” images an...

We present a novel data visualization approach to display the contact trace of the spread of an infection between individuals. This visualization presents the spread as a radial organizational chart, where each node is an infected person, and the distance from the root to a node is proportional to time. We use real registration information for a population of students at a small college to gene...