Predicting Burglary Patterns Through Math Modeling of Crime
Published: June 1, 2012.
Released by Society for Industrial and Applied Mathematics
Philadelphia – May 31, 2012 - Pattern formation in physical, biological, and sociological systems has been studied for many years. Despite the fact that these subject areas are completely diverse, the mathematics that describes underlying patterns in these systems can be surprisingly similar. Mathematical tools can be used to study such systems and predict their patterns.
Full Story »
More news from Society for Industrial and Applied Mathematics
Equilibrium Modeling Increases Contact Lens Comfort
According to the Vision Council of America, roughly 75% of adults in the United States require some form of vision correction. Yet only 10% of Americans wear contact lenses. Studies estimate that one in four initial contact-users finds the lenses uncomfortable and stops wearing them. Thus, increasing the comfort level of contact lenses and expanding the market is a continual objective in the vision industry.
Segmenting Ultrasound Video with a Wavelet Variational Model
Image segmentation, the process of separating a digital image into multiple sections for individual examination, is frequently used in medical image analysis. For example, segmentation in ultrasound footage helps identify boundaries and regions of interest (ROI) that facilitate image interpretation. Efficient segmentation of ultrasound videos, however, is often complicated by low contrast, shadow effects, and complex "noise" statistics (unexplained variations). In addition, real-time applications such as navigation during operational surgery require efficient algorithms.
Applying Parameter Selection And Verification Techniques to an HIV Model
Physical and biological models often have hundreds of inputs, many of which may have a negligible effect on a model's response. Establishing parameters that can be fixed at nominal values without significantly affecting model outputs is often challenging; sometimes these parameters cannot be simply discerned by the outputs. Thus, verifying that a parameter is noninfluential is both computationally challenging and quite expensive.
Optimizing Flutter Shutter to Minimize Camera Blur
Whether taking photos recreationally or professionally, photographers understandably want their snapshots to appear sharp and clear. Image clarity is dependent on exposure time, or the amount of time that a camera's sensor is exposed to light while a photograph is being taken. During this period, the shutter opens and the camera counts the number of photons emitted by the subject.
Dynamical Systems Theory Enhances Knowledge of Jupiter's Atmosphere
Jupiter, which has a mass more than twice that of all the planets combined, continues to fascinate researchers. The planet is characterized most often by its powerful jet streams and Great Red Spot (GRS), the biggest and longest-lasting known atmospheric vortex. Although still images provide some insight into the features of Jupiter's atmosphere, the atmosphere itself is unsteady and turbulent, and its features are time-dependent.
New SIR-Network Model Helps Predict Dengue Fever Epidemic in Urban Areas
Philadelphia, PA - Mathematics is often implemented in healthcare and medical research. From health management to the bio-pharmaceutical fields, math modeling can be used to predict the spread of diseases, how to prevent epidemics and so much more. An article 'SIR-Network Model And its Application to Dengue Fever,' authored by Lucas M. Stolerman, Daniel Coombs and Stefanella Boatto, published recently in the SIAM Journal on Applied Mathematics introduces a new mathematical model which offers a simplified approach to studying the spread of the
Improving Electric Motor Efficiency Via Shape Optimization
In our competitive global society, successful and economical design of automotive and industrial structures is crucial. Optimizing the geometry of individual pieces of complex machines improves performance and efficiency of the entire device.
Mathematical Models with Complicated Dynamics for Disease Study
Philadelphia, PA - "The impact of human mobility on disease dynamics has been the focus of mathematical epidemiology for many years, especially since the 2002-03 SARS outbreak, which showed that an infectious agent can spread across the globe very rapidly via transportation networks," says mathematician Gergely Röst. Röst is co-author of a paper to be published this week in the SIAM Journal on Applied Dynamical Systems that presents a mathematical model to study the effects of individual movement on infectious disease spread.