Articles tagged with Software
Researchers at Saarland University have developed software to detect malicious apps in app stores, identifying potential security threats. The software analyzes code access patterns to flag suspicious behavior, with over 3,000 apps already tested.
Researchers at Fraunhofer Institute for Secure Information Technology SIT showcase security tools to protect manufacturing data from unauthorized access. The software application encrypts data as it emerges, ensuring only licensed actions are executed.
Researchers created XML3DRepo, a service that enables the standardization of complex 3D data through a web browser. This technology makes it possible to visualize and administer 3D models in an easy-to-understand format for project partners, investors, and the public.
Researchers from Saarland University have developed a method to capture actors' movements and transfer them to virtual characters in near real-time. This technology allows for more efficient and user-friendly motion capturing, enabling the creation of animated characters outdoors without markers.
The NASA Wallops Flight Facility successfully deployed a record-breaking 29 small satellites into orbit, also testing a new autonomous flight safety system that promises to eliminate expensive down-range tracking and command infrastructure. The system's first certification test was deemed 'positive' with initial data indicating it sent...
A novel platform connects engineers in their offices with production locations, enabling real-time video transmission and interactive 3D model views. This approach facilitates remote maintenance by showing operators multiple views of the machine on screen.
A new method called Chabada analyzes app store descriptions to detect suspicious behavior, identifying 56% of existing spy apps. The approach clusters apps by related topics and detects unusual data access patterns, serving as a potential gatekeeper for app stores.
A professor at Georgia Institute of Technology has developed software to help health officials respond to pandemics by combining biological and demographic data. The system uses social media and real-time information to inform decision-making, allocating medical resources and personnel effectively.
Research highlights the challenges faced by UK hospitals in adopting electronic health record systems due to underestimated costs. The study identified four key cost categories: infrastructure, personnel, estates/facilities, and other expenses, which are often cut back during implementation.
Researchers developed a lightweight detection system using the hidden semi-Markov model to identify malware-infected computers. The approach can model normal behavior and highlight deviations caused by malware, making it easier to detect botnets in real-time.
Briand's work on model-based software verification and testing has been recognized for its outstanding contribution to reliability engineering. The award honors his efforts to deliver predictable dependable software-intensive systems within cost and time constraints.
Researchers at Universidad Carlos III de Madrid have developed a new biomedical diagnostic tool using personalized 3D imaging, enabling faster and more precise images of living organisms. This innovative technology has the potential to revolutionize medicine and basic research applications.
A CU-built software program uses big data to suggest personalized content review, boosting remembering by 16.5% in a study of middle school Spanish students. The algorithm analyzes past student performance to recommend material that needs review, leveraging strategies used by online retailers.
The Biotechnology and Biological Sciences Research Council (BBSRC) and Medical Research Council (MRC) have jointly awarded £1.43M to support the development of CCP4, a world-leading x-ray crystallography software resource. This funding renewal aims to further scientific knowledge and promote economic growth through innovative approache...
A team of researchers conducted the first-ever clinical study on computer security, exploring the impact of technological and human factors on malware attacks. The four-month study involved 50 subjects and found that technically sophisticated users were more at risk, contradicting the notion that they should have a 'Internet license'.
A team of four computer science professors is working on a project called imPACT to address essential properties for the Internet. They aim to find solutions for protecting users' privacy, ensuring accountability, and assessing trustworthiness of information and services.
The Never Ending Image Learner (NEIL) program analyzes 3 million images, identifying 1,500 object types and 2,500 associations, and develops a growing visual database to enhance computer vision capabilities. NEIL's findings are made available online, providing insights into common sense knowledge that humans take for granted.
A new study found that an interactive computer program increased help for those who needed it most without overtreating. Patients using the program were nearly twice as likely to ask about depression and receive treatment recommendations from their physician.
Researchers found that modifying electronic order set lists can significantly alter both the number and quality of lab tests ordered by clinicians. Including default selections increased the quality of lab tests, but also added costs.
Biomedical researchers can now explore complex data sets with ease, thanks to CHOP's open-source platform, Harvest. The toolkit provides a user-friendly interface to navigate different types and levels of data, allowing users to construct queries to slice and dice data.
Researchers at North Carolina State University have created software that uses a swarm of insect cyborgs to map unknown environments, such as collapsed buildings. The biobots' random movement is exploited to create a rough map of the area, which can help first responders navigate and identify potential hazards.
Jack Dongarra, a distinguished professor at the University of Tennessee, is being honored for his work on mathematical software standards and their impact on high-performance computing. He will receive the ACM-IEEE Computer Society Ken Kennedy Award for his influential contributions to performance measurement and parallel programming.
The University of Bristol and NICT successfully demonstrated a multicore fibre-based network, utilizing Space Division Multiplexing (SDM) and Software Defined Network (SDN) control. This breakthrough enables the efficient handling of emerging Internet applications such as global cloud computing.
The QUT-developed Semaphore program enables researchers to simulate fluxes of carbon and nitrogen, providing guidelines for reducing greenhouse gas footprint. The program reduces transaction costs and testing time, allowing landholders to adopt effective strategies for minimizing emissions.
A new study from Washington University in St. Louis finds that IT monitoring can significantly reduce employee theft and fraud in the restaurant industry, resulting in a 7% increase in revenue per restaurant. The study used monitoring software to track sales data of employees and found a 22% drop in theft after implementation.
Researchers have developed a new approach to virus detection that uses data mining algorithms and machine learning techniques to identify malicious code and behavior patterns.
Researchers create a system to encrypt software, making it unreverse-engineerable without solving mathematical problems. This mechanism uses multilinear jigsaw puzzles to prevent deciphering of the code behind software.
Researchers at MIT have developed a computer system, Remy, that automatically generates efficient TCP congestion-control algorithms. These algorithms significantly outperform human-designed versions in simulations, yielding transmission rates 2-3 times higher and delay reductions of up to two-thirds.
A team of Penn State researchers developed a process using three inexpensive computer programs to grade fingerprints for ridge detail evaluation. The system ensures standardized evaluation finer than human capabilities, improving the reliability of fingerprint matches.
A new technology has reduced overall radiation exposure from CT scans in children by 37 percent, according to a recent study. The software uses mathematical calculations to determine the lowest possible radiation dose for each patient, allowing radiologists to precisely control the amount of radiation based on patient size.
A new software toolkit combines deformable anthropomorphic models with precision dosimetry to determine the most effective cancer-killing dose for every patient. This approach enables personalized radionuclide drug therapies, leading to improved outcomes and better survival rates.
The UC Riverside FACES project uses facial recognition technology to analyze portraits of historical figures, including Dante, Lorenzo de' Medici, and Shakespeare. The researchers aim to develop an algorithm that can accurately identify subjects despite variations in facial expressions, aging, and artistic styles.
Sandia National Laboratories has developed the Capability Portfolio Analysis Tool (CPAT) to help the US Army analyze complex decisions for modernizing combat vehicles. The tool combines optimization, simulation, and modeling to balance goals and budget constraints, providing a more efficient decision-making process.
Research suggests that manufacturers are foolish to ignore the needs of senior citizens, who face physical and cognitive disabilities that benefit from accessible hardware and software. The study highlights the importance of addressing the needs of all society, not just younger generations.
A £5.6m UK national collaboration, PRiME, aims to design and implement energy-efficient embedded systems with many-core processors. The project will tackle global societal challenges by preventing uncontrolled energy consumption and unreliability in these systems.
A new study from North Carolina State University reveals that programmers' knowledge and skills increase with age, particularly in recent technologies. Veteran programmers have a significant edge over younger peers in certain areas.
Researchers at Vanderbilt University have developed a low-cost smartphone system that can track gunfire with remarkable accuracy, using unique sonic signatures produced by firearms. The system consists of an external sensor module and smartphones, working together to triangulate the origin of shots.
Advaita, a Wayne State University startup, is participating in the new Michigan I-Corps program to turn its biotechnology innovation into commercial opportunities. The company aims to streamline drug-discovery methods, saving time and money for academia and pharmaceutical industries.
GapSense software controls traffic to dramatically reduce interference, enabling devices to communicate more efficiently and reducing collisions by up to 45%. The technology could also address the 'hidden terminal' problem and reduce energy consumption of WiFi devices.
A Michigan Technological University lab has introduced a library of open-source, 3-D-printable optics components that significantly reduce costs. The study found cost reductions of over 97%, enabling a broader audience to participate in optical experimentation.
Researchers at Saarland University developed an automated testing system called 'Webmate' to identify security vulnerabilities in complex web applications. The system discovers connections between application components and generates test scenarios to ensure compatibility.
A new open-source model, InVEST, provides spatially explicit information on offshore wind energy, helping decision makers quantify tradeoffs between energy, transportation, and fishing. The tool is significant for integrated marine spatial planning, enabling informed decisions on wind turbine placement.
A UT Arlington software engineer has developed a computer testing tool that significantly reduces the time and cost of determining whether a new program works. The Advanced Combinatorial Testing System (ACTS) uses combinatorial testing to test complex systems, such as healthcare information technology.
A new method uses static code analysis to guide test case generation, detecting common types of concurrency errors. It outperforms existing methods by integrating dynamic analysis and minimizing false positives.
Researchers propose novel protocol structure model to analyze and verify service-oriented systems, incorporating dependencies for synchronous, asynchronous, and broadcast communications. The model combines features of partial orders and Petri nets to tackle complex software development challenges.
A Concordia librarian advocates for open source technology to make academic journals freely available, reducing subscription fees. The initiative aims to ensure institutional support for long-term sustainability and promotes the mission of libraries to support scholarly research.
Researchers developed a grammar-aware password cracker that can bypass security with 10% of dataset cracked exclusively by the team's algorithm. The study highlights the importance of using different parts of speech in passwords, as pronouns are far fewer in number than other words.
DARPA's Adaptive Vehicle Make (AVM) program aims to reduce costs and lead times in developing new military vehicles by transforming the design and manufacturing process. Vanderbilt University's Institute for Software Integrated Systems is leading the development of engineering software, including META-X tool CyPhy.
Researchers Ang Cui and Salvatore Stolfo found critical security breaches in Cisco VoIP phone technology, allowing hackers to eavesdrop on private conversations globally. They developed a new defense technology called Software Symbiotes to protect embedded systems from malicious code injection attacks.
Researchers at the University of Rochester developed a computer program that analyzes 12 features of speech to identify six emotions from sound recordings, achieving 81% accuracy. The system can be used to develop complex apps that adjust colors and music based on user emotions.
Researchers developed a new natural language processing tool to extract access control policies from customer requirements. The tool translates ACPs into machine-readable language, verifying and testing their adequacy in meeting security needs.
TransOS enables seamless interaction with files and applications from anywhere in the world, eliminating hardware and software dependencies. The researchers aim to extend TransOS beyond personal computers to other devices, including mobile phones and appliances.
The ProteoWizard Toolkit allows scientists to easily analyze and share multi-platform mass spectrometry data, a major breakthrough for large-scale biological research. The software is expected to improve the understanding of complex diseases like cancer.
A new digital tabletop system, PiVOT, allows users to view shared content while each individual receives a personalized view, with multiple views possible at the same location without interfering with others. The system supports various applications and has been implemented with a sample prototype evaluated for its effectiveness.
A home-based computer software, ClockMe System, allows adults to screen themselves for early signs of dementia. The system scores the participant's clock-drawing test and records the duration and timing of the test, providing valuable insight into thought processes.
Researchers at the University of Texas at Dallas have developed a technique called 'space travel' that allows one computer in a virtual network to monitor another for intrusions and malware. This technology bridges the gap between hardware and software systems, enabling more efficient threat detection.
A new algorithm developed by Georgia Tech can identify influencers as information changes within a network, making it more efficient than existing algorithms. The software can process streaming graphs up to 100 times faster and has wide-ranging applications in advertising, transportation, and other fields.
Researchers created digital organisms in Avida to study mate attraction, finding that even costless displays evolved as indicators of genetic quality. This challenges traditional theories on ornamental displays serving as signals for virility.
Researchers at UT Dallas have developed a new software system, dubbed Frankenstein, that can evade traditional antivirus scanning mechanisms. This innovative technology takes code from existing programs and repurposes it to create malicious software, providing a 'cloak of invisibility' for attackers.
A study will assess software engineering students' teamwork skills using objective and quantitative measures, developing software models that predict team success. The research aims to provide advice to teachers and industry leaders on managing teams, emphasizing the importance of 'soft skills',