Articles tagged with Software
A computer-controlled differential braking system can stabilize vehicles by reducing spin, which causes rollovers. The system has been developed to adjust brake forces on the right and left sides of the cab independently.
The FaceIt face recognition system uses local feature analysis to capture tiny components of the face, allowing it to recognize faces even when only a portion is visible. It can track up to 10 faces simultaneously and search for matches against a database at a rate of 60 million/minute.
The UrbanSim project will use advanced software to create realistic animated streetscapes showing the potential impact of current decisions on urban development. The system will integrate data from various sources, including demographic and economic information, to provide a comprehensive understanding of long-term effects.
A team led by Jonathan M. Smith from the University of Pennsylvania aims to engineer better security features into mainstream computers through open-source collaboration.
Researchers at VBI are developing software to integrate metabolomics data with gene expression and proteomics, enabling scientists to pinpoint the exact function of genes and proteins. The collaboration with Phenomenome aims to create a global understanding of biological systems from a dynamic perspective.
Chemists are using statistical design of experiments and parallel reactors to improve the creation of polymers. This approach enables the efficient production of novel elastomers by determining the optimal reaction conditions. By doing so, researchers can generate predictive models and discover new materials.
Researchers at the University of Pennsylvania will explore ways to incorporate a focus on embedded computer reliability into product design, developing models and analysis tools to identify potential bugs. The goal is to improve product dependability and reduce costs by predicting reliability earlier in the design phase.
Berkeley Lab is developing new computational tools, including algorithms and software frameworks, to tackle complex scientific problems. The funding will support the creation of a terascale simulation environment for accelerator science and technology.
The first public human genome sequence was successfully assembled using GigAssembler, a computer program developed by James Kent and David Haussler. The program utilized a greedy algorithm to assemble nearly 400,000 DNA sequence pieces, resulting in an 88% complete draft.
PENNTAP, a leading technical assistance provider, has helped Mexico establish a new technical assistance program. The program focuses on automotive service shops, software development, and metalworking sectors with an emphasis on environmental protection.
The Lehigh Omnidirectional Tracking System (LOTS) enables US troops to locate and track remote enemy soldiers attempting to infiltrate positions. LOTS uses a 360-degree camera and AI-powered software to detect movement and alert commanders with an icon on a map.
Srinivas Akella receives $399,700 to develop software enabling industrial robots to manipulate flexible objects and assemble complex 3-D structures. His techniques could reduce manufacturing costs and time required for new products.
Researchers at the University at Buffalo have developed a computer program that can analyze handwriting and determine authorship with high accuracy. The software uses scientific criteria to quantify performance and increase confidence in identifying writers, which is essential for admitting handwriting evidence in U.S. courts.
Researchers at the University of Southern California are developing modular robotic units called CONRO, which can autonomously seek and find each other to form a unified system. The units can perform various tasks, such as clearing debris or carrying medicine to people trapped in rubble.
PUNCH provides a worldwide 'computational grid' allowing users to run programs remotely over the Internet, saving money for engineering students. The system can automatically find resources, including supercomputers, to complete jobs, making it a prototype for a large-scale infrastructure.
Northwestern University has received nearly $1 million in NSF funding to develop special robots called cobots that assist humans in heavy materials handling. Researchers also plan to create a technology to distribute computer software for large-scale optimization problems via the Internet.
Researchers at Cornell University will develop adaptive software that can adjust to changing conditions in simulations and hardware. The Adaptive Software Project aims to create software that behaves like a living organism, adapting to improve results or survival.
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.