Articles tagged with Software
Dr. David Hathaway and Paul Meyer's Video Image Stabilization and Registration (VISAR) technology refines TV images, revealing clues about crimes. The FBI has worked with them on over a dozen cases, including the 1996 Olympic bombing, improving crime scene analysis and evidence collection.
The Sandia Red Team has demonstrated that competent outsiders can hack into almost all networked computers, regardless of their security measures. The team's goal is to improve the security of information systems by identifying weaknesses and providing recommendations for improvement.
A computer-based tutorial program developed by Temple University professor Brian P. Butz determines a student's strengths and weaknesses, creating an individualized learning plan. The system also offers immediate feedback on simulation projects and replicates actual lab conditions in a virtual electrical laboratory.
UMass researchers are creating a software called Tinkerplots to help middle-school students understand statistics and data analysis, enabling everyday decision making. Prototypes are being tested in two area schools, with the goal of widespread availability in 2003.
Twelve international groups compared their computer programs' power to predict gene elements within a Drosophila DNA region. Many programs detected genes with 95% accuracy, while others struggled with precise gene boundaries and promoter predictions. The project established standards for future improvements.
A new AI system, CONSA, helps bickering computer programs resolve differences and come up with a satisfactory result. The system has been successfully tested on agent-controlled robot football teams and helicopter combat simulations.
The Chiba City Project aims to advance highly scalable open source software development using state-of-the-art Linux clusters. The 512-CPU Linux cluster will be opened to the U.S. research community for collaborative development.
A cluster of 256 Intel Pentium III microprocessors linked together has created the largest
A new system-on-a-chip technology from CPU Tech enables seamless upgrades to high-end electronic systems without rewriting software. This innovative solution addresses the issue of electronic obsolescence, which can cost hundreds of millions of dollars to resolve.
Penn State researchers developed a neural network-based model to predict tire stress on roads, providing engineers with improved capabilities for designing better tires and roads. The software can accurately predict outcomes even without training data, using precisely measured contact-stress distribution patterns.
Researchers in UB's Center of Excellence for Document Analysis and Recognition aim to establish a scientific basis for whether handwriting is unique to each individual. The new tools will enable law-enforcement investigators to analyze handwriting in documents, potentially identifying writers and suspects in criminal cases.
University at Buffalo engineers develop virtual-factory software called UB VR-Fact! that allows companies to design and simulate large-scale plants virtually. The software uses mathematical algorithms and models to simulate factory layout, production, and identify potential bottlenecks.
A new MIT software has significantly improved the accuracy of a robotic system used in cancer treatment, reducing errors from 7-8mm to under 1/3mm. This breakthrough technology has potential applications beyond cancer therapy, including inspection and repair work in nuclear power facilities.
A study found that team skill, managerial involvement, and common team experience are crucial for software development success. In contrast, technology's impact on performance was less significant, with structured methods having a positive but insignificant effect on production activities.
A group of hackers, the Cult of the Dead Cow, has released a malicious Back Orifice program that allows them to secretly control a machine over local networks or the Internet. The program can be downloaded without users realizing its presence, and once installed, it enables hackers to take control of the system like a puppet.
Researchers create neural network pattern recognition software to predict battery performance and life, providing faster and cheaper data for manufacturers. The software uses only minutes of laboratory test data and can be used to build better batteries.
Dr. David Noever's project aims to classify tiny life forms on Earth and in Mars samples using shape analysis, leveraging AI and neural networks. The 'D'Arcy Machine', a network of volunteer computers, will help process the massive dataset.
Researchers at Ohio State University have developed a fast new method to analyze part designs and locate potential defects that may form in die-cast metal parts. The binary voxel model uses geometry to simulate die casting, producing an image with color-coded areas of concern. This method can identify weak spots in seconds, unlike more...
Subodh Kumar's software, called sLIB, significantly speeds up the display of three-dimensional models by better than 100 to 200 times over older techniques. The program also allows designers greater control over detail levels and enables testing of user ideas.
A 3D computer program is replacing traditional 2D hand-drawn charts with a morphable 3D body image, allowing for more precise assessment and calculation of burn surface area. This accuracy facilitates treatment planning and research, leading to potential improvements in patient outcomes and the development of new therapies.
Most educational software evaluated by Ohio State University researchers lacks essential content and fails to promote collaborative problem-solving, instead focusing on entertainment elements. Language arts software shows promise, but science and math programs fall short in addressing broader concepts.
Jango, a new software robot developed by the University of Washington, uses a novel web navigation technology to automatically search the web for products and provide users with detailed information. The robot can initiate orders and protect user credit card information through encryption.
A new software developed by UD researchers can generate a simulated version of reforming scenarios in just 100 CPU seconds, improving the accuracy and speed of modeling catalytic reforming processes. The NetGen reforming software allows researchers to build models in a day instead of months.
A new software developed by Ohio University researchers reduces amino acid sequence misidentification rates by at least twice, combining human intelligence with automated systems. The software aims to minimize time spent on identifying protein sequences, improving accuracy and efficiency in biochemistry research.
Engineering Animation, Inc. develops software to aid in the diagnosis and treatment of unruptured abdominal aortic aneurysms (AAAs) using 3D visualization technology, reducing morbidity rates and improving patient outcomes.
Sandia's achievement of the one-teraflops mark demonstrates its expertise in advanced software applications and high-fidelity 3-D simulation. This breakthrough enables scientists to simulate complex nuclear-weapon performance and predict safety against accidental nuclear explosions, marking a new era in computing.
A new theory and computer model predict gestation length and preterm birth risk using 16 significant factors. The Mittendorf-Williams Rule is twice as accurate as Naegele's rule in predicting gestation, with potential to lower infant mortality rates.
Researchers are exploring a system to buy and sell cycles of time on idle machines, offering an alternative to buying new hardware. This metacomputing concept enables people to rent out their computers' unused power for tasks that require extra computing horsepower or specialized equipment.
The Proactive Error Reduction System (PERS) program is a computer program that allows airline maintenance workers to determine why an error occurred and see how other airlines have solved similar problems. It goes beyond current error-analysis by being proactive, examining all the things that led up to the error.