Articles tagged with Computer Modeling
A Delft mathematician has developed a new method for calculating the effectiveness of protective clothing against NBC-weapons using computer modeling. The research aims to determine at which point in time the clothing loses its protective function, allowing for more efficient design and improvement.
Researchers combined NASA's QuikSCAT satellite data with aircraft sensor data from tropical storms, improving the accuracy of hurricane forecasts. The new generation WRF computer model was able to reproduce the structure of rainfalls that caused flooding during landfall, providing valuable insights into tropical cyclones.
Researchers predict Cycle 24 sunspots will span 2.5% of Sun's surface, peaking in 2012, with improved forecasting tool helioseismology used to analyze recent solar cycles and forecast future activity.
Scientists will analyze air and aerosol pollutants using aircraft, ground stations, and satellite observations. The goal is to understand the impact of urban pollution on regional and global climate, ecosystems, and visibility.
Researchers from NASA and Columbia University reproduced an abrupt climate shift 8,200 years ago by simulating a massive freshwater flood into the North Atlantic Ocean. The study used GISS Model E-R to model the impact of the flood, which caused temperatures to drop several degrees in some areas.
Researchers analyzed data from multiple satellites, including NASA's Terra and Aqua satellites, to understand the rapid weakening of Hurricane Lili in 2002. The study found that dry air moving into the storm's low levels created an 'open eyewall' that led to a significant decrease in strength.
MIRIAM is a voluntary code of conduct that standardizes computer models of life, providing reference correspondence and annotation schemes to improve searchability and usability. By adopting MIRIAM, model repositories can ensure quality control and facilitate collaboration among researchers.
Researchers at Johns Hopkins University have discovered a new mathematical formula, called the advected delta-vee equation, that can help predict turbulent flow behavior. This equation provides a shortcut to describe a complex characteristic of turbulence called intermittency, which is difficult to include in computer models.
Researchers at CU-Boulder developed a microscopic rotor that turns in a desired direction using an oscillating electrical field. The device has potential applications in nanotechnology machines and could be used to power chemical sensors, cell-phone switches, miniature pumps or even laser-blocking goggles.
Researchers have developed a new approach to predicting flooding in the West, combining computer simulations with satellite imagery and field data. The method provides more accurate hazard information and could have significant economic impacts on rapidly growing Southwest cities.
Researchers develop a computational model that accurately predicts cell behavior, revealing intricate protein interactions and improving cancer treatment design. The model has practical applications in developing targeted therapies that don't weaken patients' immune systems.
Researchers are developing new techniques to detect deception using cameras and sensors, aiming to improve security at border crossings and buildings. The Rutgers team will employ image-based models and machine learning algorithms to analyze facial expressions and body movements, increasing accuracy over current polygraph technology.
Recent warming of the tropical troposphere has been confirmed by new observational estimates and state-of-the-art climate models. The warming trend is attributed to an 'amplification' effect caused by moist air rising and condensing into clouds, with temperature changes in the deep tropics larger than at the surface.
Researchers simulate sensor web technique to track pollution transport and improve forecast accuracy. The technology coordinates observations from satellites, airborne instruments, and ground-based stations to provide alerts days in advance for vulnerable populations.
Research reveals that household dust is a significant source of flame retardants, posing health risks. The study suggests that frequent house cleaning and improved ventilation can help minimize exposure.
A new computer model reveals that ancient Palaeozoic seas were almost tideless, preventing oxygen circulation and creating an environment inhospitable to life. This finding has significant implications for understanding the evolution of early marine life and ancient climates.
Researchers at Stanford have developed a computer model that incorporates imaging data and can predict patient outcomes with increased accuracy. The model, which factors in the flexibility of veins and arteries, has shown promising results in large-animal studies, predicting flow after an aortic graft within 10%.
A study by Kevin Svitana found that an underground aquifer containing toxic chemicals is being kept trapped beneath old riverbeds, preventing them from reaching the Ohio River. The unique interaction between the aquifer and river appears to be due to the presence of permeable sands and gravels in the subsurface geology.
Researchers used computer models to locate areas where soil moisture influences rainfall, identifying common features known as 'hot spots'. These hot spots are found in transition zones between wet and dry regions, with implications for seasonal forecasting of rainfall and improving weather forecasts.
Scientists used computer models to analyze the internal structures of Jupiter and Saturn, finding that heavy elements like iron are concentrated in Saturn's core. The research uses data from shock compression experiments and helps improve models of the planets' formation.
The Emory research team will model disease outbreaks in hypothetical American communities to find the best methods of controlling epidemics. They will also investigate the interaction of microorganisms with the immune system and its relation to disease spread.
The MIDAS (Mathematical Information Domain for Assessment of Substantial Threats) project will create mathematical models to study infectious disease epidemics and community responses. The project, funded by the NIH, will provide user-friendly computer modeling tools for predicting and responding to bioterror threats.
Researchers from Rutgers University will follow the flow of a red dye on a research vessel for about five days to study the Hudson River Plume. The study aims to gain knowledge about where the plume goes and what it contains, with potential applications in predicting algae blooms and sewage disposal decisions.
A team of researchers from Cornell University and Gene Network Sciences Inc. has developed a 3D computer model of the canine heart to simulate ventricular fibrillation. The model aims to help understand the causes of this life-threatening condition, currently treated with electrical shocks that can damage the heart.
Research found that changes in land cover, particularly vegetation, have impacted regional temperatures and precipitation in the US. Land cover changes produced a significant cooling effect of more than one degree Fahrenheit in parts of the Great Plains and Midwest.
NIST develops standardized emergency response software and proposes industry-government collaboration to enhance interoperability. The proposed Electronic Emergency Response Framework will provide decision-makers with easily accessible modeling and simulation tools.
The system uses computer models to predict impacts of cities on regional and global land and atmospheric processes. By incorporating local energy and water cycles, predictions can be applied to climate and weather forecasting, agricultural management, and hazard mitigation.
A new computer model developed at Ohio State University provides a detailed understanding of how municipal wells in Woburn, Massachusetts, came to be contaminated with toxic chemicals. The results suggest that the contaminants likely originated from industrial properties and flowed into the nearby Aberjona River, raising concerns about...
A team of researchers used a computer model to simulate the impact of airbag deployment on pilots wearing night-vision goggles. The study found that minimal distance between the eyes and goggles increased stress on orbital bones, while a protective lens reduced impact force but increased surrounding bone pressure.
A NASA study tracked a dust storm that traveled from China to the French Alps in just two weeks, crossing multiple continents along the way. The research used computer models and meteorological data to recreate the dust's journey and understand its composition and origin.
A Texas forestry sciences researcher has developed a two-dimensional warping model based on the mechanics of layered composites, enabling factory managers to make changes in manufacturing processes. The model uses commercial spreadsheet software to calculate and plot overall linear expansion and out-of-plane warping of wood-based panels.
A computer model has been developed to calculate how concrete responds to salt and moisture exposure, allowing for the simulation of various factors that affect its durability. The model can be used for both designing new concrete structures and analyzing existing ones, enabling more accurate predictions of their lifespan.
Warren Washington predicts that the global climate will continue to warm into the 22nd century, albeit at a slower rate than if emissions are not controlled. Climate extremes such as heat waves, floods, and droughts are expected to become more severe and frequent.
Researchers predict a significant warming trend in global temperatures, with the greatest impact felt in winter hemispheres, due to retreating snow and ice in high latitudes. The range of predicted temperature changes is 1.5-6 degrees centigrade, with most models predicting a 2-4 degree rise.
Hydrologist Robert Lenhard has refined current constitutive theory to predict residual NAPL distribution in subsurface, resolving a critical contamination modeling problem. His new model predicts pulse-like contamination generation during heavy rainstorms and flooding, influencing environmental remediation choices.
The Molecular Sciences Institute (MSI) has been awarded a $15.5 million grant from the National Human Genome Research Institute to develop computer models of cellular signaling, aiming to predict intra-cellular signaling and enable more precise targeted treatments for diseases.
A NASA study suggests that mixed croplands can lead to a cooler and wetter climate in certain regions. The researchers used satellite measurements of vegetation to simulate regional climate and found that this type of land use can alter atmospheric circulation, leading to increased convection and precipitation.
Researchers at the AAAS Annual Meeting discuss advancements in nanoelectronics, including mesoscale structures and single-molecule devices that could lead to more powerful electronic and computing devices. The development of these devices is dependent on a better understanding of dynamic behavior and circuitry.
A virtual lung model developed at PNNL may help predict pollutant impact on respiratory systems, providing new insights into asthma and other pulmonary diseases. The model simulates how pollutants enter, travel through, and collect in the lungs, enabling scientists to design targeted treatments.
A new computer recycling model developed by Purdue University's Julie Ann Stuart can help recyclers determine the economic viability of processing bulk materials. The model takes into account factors such as metal prices and helps prevent financial losses for recyclers.
The Johns Hopkins University Applied Physics Laboratory has developed a low-cost method to fabricate scale models for aerodynamic wind tunnel tests. The alternative approach uses non-metallic materials like engineering polymers and thermoset resins, enabling program managers to obtain high-quality data at a fraction of the cost of trad...
A Princeton scientist created a computer model of a mouse brain that can recognize spoken words, challenging conventional views on sensory perception. The model uses sensitive timing of electrical signals to perform calculations, potentially leading to faster and more sophisticated brain functions.
A Carnegie Mellon University computer model performed as well as a human in managing seven tasks simultaneously and coping with frequent interruptions. The training advantages of the model are enormous, allowing operators to gain valuable experience at much less cost.
A new model developed at the University of Illinois predicts residual stresses in polymer-matrix components, enabling accurate prediction of final dimensions and dimensional accuracy. The model combines simulation with optimization methods to reduce product defects and improve manufacturing process.
A new computer model has shown early success in predicting toxic blue-green algae blooms up to four weeks before they occur. The model uses artificial neural networks to learn key factors contributing to algal outbreaks, enabling accurate forecasts and better understanding of the factors involved.
Researchers at University at Buffalo develop a system that allows physicians to store information about their touch during an exam using virtual reality. This data can be accessed by other physicians, enhancing clinical palpation and enabling more accurate diagnoses.
Researchers studied Atlanta, Salt Lake City, and other cities using Landsat data, finding that adding trees and light-colored roofs can cool city temperatures. Computer models also simulated land use changes to predict stormwater runoff patterns and urban growth in abandoned strip mines.
The Geophysical Fluid Flow Cell experiment simulated Earth's climate, the Sun's atmosphere, and other planets' atmospheres in microgravity. Scientists created models of fluid flows in planetary atmospheres using a nickel-coated steel ball, silicone oil, and artificial gravity.
A University of Florida professor's research indicates that complex computer models may underestimate pollution levels by up to 30% due to the effects of tiny particles on smog-forming gases. The study, set to appear in a leading international journal, suggests improvements are needed to air quality models.
A team of astronomers led by University of Michigan professor Douglas Richstone discovered three new supermassive black holes in nearby elliptical galaxies. The formation and evolution of galaxies are linked to the presence of massive black holes, which played a crucial role in shaping galaxy development.
A new device called a magnetorheological damper has been tested on a model building set atop an earthquake-simulating shake table, showing promise in minimizing damage in earthquakes. The device reduces the peak acceleration by 50 percent, and is designed to be inexpensive, straightforward, and powered by a battery.
Northern Hemisphere winters have warmed by up to nine degrees Fahrenheit over the last 30 years, likely due to human activities increasing greenhouse gases. Warmer winters will bring more wet weather to Europe and Western North America.
Researchers developed a new welding technique combining infrared sensors and predictive modeling to create the best seam possible. This approach promises to save the Navy up to $10 million per year at Ingalls shipyard alone, reducing the need for costly corrections.
Computer models of Venus' changing climate system may provide insights into Earth's dynamic past and potential future. The models suggest that volcanic activity could have increased greenhouse gases in the atmosphere, leading to a cooling effect on the planet.
A team of engineers has developed a theory and algorithm that enables robots to adapt to changing conditions, solving a two-decade-old problem in intelligent control. The Max-Plus Algebra Model integrates low-level data sensing with high-level planning and decision-making processes, allowing robots to halt activity when necessary and r...
Researchers at Idaho National Laboratory have discovered that water flows chaotically through the ground in heterogeneous soils and fractured rock environments. Chaos theory can now be used to model this non-linear process, which is crucial for environmental restoration.
A new statistical analysis of 115 years of global temperature data strengthens the argument that human-caused emissions are warming the earth's atmosphere. The study found strong year-to-year correlations between actual temperature data and simulations from two leading computer models, indicating a consistent long-term trend.
KSU civil engineer Steven K. Starrett developed the KTURF program to predict pesticide and nitrogen leaching, which is within 4% of testing case values. The tool helps golf course turf managers screen chemicals and reduce groundwater contamination.
Scientists at NIST have successfully used an advanced measurement technique to study the evolution of complex defect structures in deformed metals. This breakthrough could lead to more accurate computer models that help manufacturers save hundreds of millions of dollars annually by reducing trial and error.
A Cornell University professor has developed mathematical and computer models to explain how different foods are affected by microwave heating. The models take into account food characteristics, placement in the oven, and oven power, providing a quantum leap in understanding of microwaving behavior. This research aims to improve the U....