Articles tagged with Systems Engineering
Lehigh University researchers aim to improve the safety and reliability of cyber-physical systems by developing a systematic approach to network infrastructure design. The project seeks to establish a measurement-driven analytical framework for worst-case delay analyses in non-feedforward CPS networks.
Researchers have developed a computer vision system that uses a brain-inspired approach to learn and identify objects in real-world images. The system is trained on a vast amount of data from the internet, allowing it to build a detailed model of objects without external guidance.
Researchers at NYU Tandon created synthetic fingerprints capable of spoofing smartphone fingerprint sensors, potentially fooling up to one in five people. The 'DeepMasterPrints' can match multiple prints stored in databases and unlock devices, highlighting the need for multi-factor authentication.
Researchers at the University of Waterloo have developed a new AI system called Pattern to Knowledge (P2K) that can predict biosequence interactions in seconds. P2K uses deep knowledge from data to identify and predict amino acid bindings, potentially reducing bottlenecks in drug discovery.
Researchers from Tokyo University of Agriculture and Technology have sped up electron movement in organic semiconductor films by two to three orders of magnitude. By introducing polystyrene, they found enhanced hole mobility, a critical factor for developing more efficient solar devices.
Southern Methodist University professors receive an $849,839 NSF grant to build a multi-dimensional drone communication framework, addressing three-dimensional connectivity issues. The project aims to optimize transmission to intended receivers in various swarm formations, with potential applications in commercial and military sectors.
A University of Utah engineering study shows that smart controllers for home heating and cooling systems can clean pollution with minimal additional energy costs. The 'SmartAir' setting, which turns on the HVAC fan based on both temperature and air quality, cleaned the air almost as well as continuous operation but used 58% less energy.
The University of Virginia School of Engineering's Link Lab has earned a $3 million National Science Foundation grant to create a training program for Ph.D. students in cyber-physical systems. The program will emphasize hands-on learning, research on real-world problems, and professional development.
The National Science Foundation is investing in research to detect, disrupt and disable illicit supply networks that traffic people, weapons, drugs, human organs, and nuclear material. This funding supports a combination of engineering and computer, physical and social sciences to dismantle these networks.
A team of NYU Tandon researchers has received a $900,000 NSF grant to develop tools for safer AI deployment. The tools will address defensive schemes against malicious attacks and detect 'backdoors' in AI systems.
Jennifer Pazour, assistant professor at Rensselaer Polytechnic Institute, has been selected to take part in the National Academy of Engineering's 24th annual U.S. Frontiers of Engineering symposium. The symposium brings together emerging engineering leaders to discuss pioneering research and techniques.
The Rensselaer project aims to develop an operator-guided, semi-automatic assembly process using industrial robots integrated with multiple sensors. The goal is to improve manufacturing productivity by enhancing the operator's capabilities through advanced robotics and appropriately applying technological strengths.
Researchers equip a US bridge with sensors that can detect cracks and alert maintenance engineers, increasing supervision of critical areas and extending structure lifetimes. The system uses Comparative Vacuum Monitoring sensors that can detect tiny cracks smaller than the thickness of a dime.
Researchers have developed a compact and sensitive nanophotonic system that can identify molecules without conventional spectrometry. The system uses metapixels to generate a unique bar code for each molecule, enabling massive analysis and classification using artificial neural networks.
A recent GW study reveals that many patients and medical care providers hold a 'Why not take a risk?' mentality when it comes to antibiotics, despite knowing their limitations. This mindset can lead to unnecessary prescribing and the spread of superbugs, causing significant harm.
Researchers at UBC created a system where software engineers can use simple voice commands to automate mundane tasks, increasing productivity and speed. The tool also enables typing minimal requests, allowing engineers to focus on important parts of their jobs.
A study from the University of Missouri found that electronic medical record documentation and direct patient care are the most common workflow interruptions in emergency departments, leading to increased workloads and decreased efficiency. The research suggests that changes in workflow could improve patient care and nurse productivity.
Researchers developed a coordinated control architecture for motion management in ADAS systems, demonstrating improved safety and comfort. The study showed that 'coordinated control' strategy successfully damped out deviation errors, giving much greater precision in following intended trajectories.
Researchers propose social manufacturing as an innovative solution for the personalized customization era, allowing consumers to participate in the design and production process. This approach can reduce material waste and energy consumption while satisfying both material and spiritual needs.
A new design proposes a top-level intelligent dispatch system that incorporates artificial systems and real-world input to find the best way to dispatch power quickly and efficiently. By leveraging historical operation actions and records, the dispatch system can convert human experience into intelligent technical models.
A new 'smart' algorithm is proposed to manage household energy usage, taking into account varying power sources like windmills and solar panels. The goal is to minimize costs while meeting energy demand, with the potential for future optimization through machine learning.
Researchers from Chinese Academy of Sciences developed a 7-DOF haptic interface allowing for seven degrees of movement. The interface enables true haptic interaction and can be used in medical simulation, virtual assembly and remote manipulation tasks.
Five Columbia engineering professors have received NSF CAREER Awards for their groundbreaking research. Agostino Capponi develops a framework to increase resilience of global financial markets, while Daniel Esposito creates electocatalytic materials for abundant solar fuels.
Researchers at Saarland University develop a sensor-free control methodology for electromagnetic valves and locks, achieving high-precision control without additional position sensors. The new technology allows devices to maintain intermediate positions and operate continuously variable systems.
Researchers from Saarland University have developed self-monitoring conveyor rollers that precisely control each roller to respond to changing operating conditions. This technology can speed up parcel sorting operations while delivering greater flexibility, reducing costs and improving efficiency.
Researchers at the University of Illinois have developed a new technology that can switch heat flows 'on' or 'off' using liquid metal droplets. This innovation has the potential to significantly improve system performance and reliability in electronics systems.
Researchers explore the link between lighting spectral power distributions and wellness, with LED technology striving to bring new healthy lighting to market. The workshop white paper provides insights shaping the field for lighting designers and health-care providers.
Researchers at the University of Tokyo have developed an ultrathin, highly elastic skin display that can show moving electrocardiogram waveforms recorded by a breathable on-skin electrode sensor. The device aims to enhance information accessibility for people with difficulty operating existing devices.
Researchers have developed a simplified musculoskeletal model that uses network science to predict how injuries in one area of the body can lead to increased strain on other areas. The model could help clinicians and physical therapists develop new treatments for injury prevention and management.
The Engineering and Physical Sciences Research Council (EPSRC) has announced support for 28 groundbreaking research projects, ranging from autonomous vehicles to energy storage and healthcare technology. These projects have the potential to make a transformative impact in various fields.
A team of researchers led by Heng Yin at the University of California, Riverside, is working on a $4.68 million grant to develop methods for securing legacy systems used in government agencies, including the Department of Defense.
Researchers at Ben-Gurion University of the Negev develop a technique to detect when a drone is capturing video of a person's location without their consent. The method uses controlled physical changes to modulate data transmitted on the FPV channel, allowing victims to prove privacy invasion attacks were committed.
Researchers create a data-driven method to detect and track human movements with high accuracy, focusing on the entire body rather than just the core. The new technique uses a time-of-flight camera to scan the subject's range of view and identify five extreme points: head, hands, and feet.
A model predictive control framework incorporates adaptable interaction models for personalized human-robot collaboration, resulting in precise shared movements. Personalization allows robots to learn from users and adjust their interference to optimize performance.
Researchers developed an algorithm to improve the control of series elastic actuators in robots, enabling better handling of unknown payload parameters and external disturbances. The new method allows for more flexible and precise robotic movements, improving human-robot interaction safety.
A team of researchers from King Fahd University of Petroleum & Minerals proposed a control design for the I-PENTAR wheeled inverted pendulum assistant robot to tackle stability issues and uncertainty. The algorithm improved the robot's ability to maintain balance even in uncertain environments.
A team of researchers from Cranfield University and Chinese institutions developed a framework combining cyber, physical, and social systems to integrate vehicle connectivity and automation attributes. They proposed the use of parallel learning theory to analyze information regarding vehicle, human driver, and driving actions in parallel.
Research using motion sensors and AI software reveals expert bricklayers use techniques to limit joint loads and develop efficient work methods. The study's findings could lead to improved training programs for apprentices and enhanced worker safety.
Craftsman Tools Ltd aims to boost tool-holding sector turnover from £1.2m to £4m within five years through a Knowledge Transfer Partnership (KTP) grant. The project, led by Daniel Emsley, will focus on introducing advanced technology and manufacturing systems, including intelligent tool-holding with internet of things sensing technology.
Researchers developed a tracking system using NFER sensors to monitor ICU nurses' daily tasks, enabling more efficient planning of nurse shifts and hospital unit design. The study aims to advance understanding of ICU nurses' workflow and improve healthcare delivery processes.
Carnegie Mellon University engineers have developed a high-density EEG system that captures neural activity at a higher spatial resolution than ever before. The new technology has the potential to improve source detection in epilepsy and enhance our understanding of brain function.
Bruna Tavares, a MIT Portugal Program PhD student, has developed an innovative monitoring method that uses advanced sensors to better understand the conditions of the Portuguese power grid. The method aims to increase the quality of service and reduce failures in the electric network.
Researchers developed compact deep-learning AI software that can run on mobile computer chips, allowing devices to operate independently of the internet. This technology has enormous potential for various fields, including industrial robots, drones, and manufacturing plants.
The paper reviews recent progress in distributed cooperative anti-disturbance control (DCADC) methods for multi-agent systems, including variable structure control and sliding mode control. Key findings include the universality of disturbance existence and the importance of high-precision control in modern engineering systems.
VibWrite integrates passcode, behavioral, and physiological characteristics to verify users, offering a low-cost security solution that resists attacks and can be deployed on any solid surface. The system has verified legitimate users with over 95% accuracy in trials and shows promise for commercialization in the near future.
Lehigh University engineers developed an optimization model, IADSS, which streamlines the assignment of inmates to Pennsylvania's 25 correctional institutions, saving millions and reducing recidivism. The system has been credited with achieving cost savings in four areas: treatment programs, prison assaults, staffing, and transportation.
Researchers at the University of Illinois developed guidelines to understand auxetic materials that become thicker when stretched, applicable for protective sports equipment, body armor and biomedical devices. The new tools aim to democratize auxetic design, making it accessible to engineers from novice to advanced experience levels.
The grant will create the Engineered nanoBIO Hub at IU, focusing on simulating interactions between nanoscale devices and biological cells and tissues. Researchers aim to develop medical devices that operate at the intersection of nanotechnology and biotechnology, with the ultimate goal of supporting human health.
A Lehigh University optimization model has transformed Pennsylvania's Department of Corrections, enabling cost savings and improvements in four areas: shorter waiting lists for treatment programs, fewer prison assaults, staffing reductions, and more efficient transportation. The system is expected to save approximately $19.2 million ov...
Researchers developed an AI system to analyze skin lesion images and detect melanoma biomarkers, reducing unnecessary biopsies and improving early detection of deadly skin cancer. The technology provides objective data on eumelanin and hemoglobin levels, helping doctors rule out melanoma before invasive action.
Researchers create whispering gallery mode resonator to detect nanoscale objects, improving performance with smaller target objects, and opening doors for biomedical devices, electronics, and biohazard detection.
Researchers have developed a hypoallergenic electronic sensor that can be worn on the skin for up to a week without causing inflammation or irritation. The device uses breathable nanoscale meshes and has been tested on 20 subjects, demonstrating its reliability as an electrode for continuous health monitoring.
Rice University engineers are building a flat microscope to monitor and stimulate neurons on the surface of the brain. The goal is to provide an alternate path for sight and sound to be delivered directly to the brain, compensating for loss of vision or hearing.
A new DARPA project aims to create an implanted brain-interface device with one million channels to support brain function. The device, developed by Columbia University researchers, uses silicon electronics and wireless powering for non-invasive stimulation and recording from the sensory cortex.
A team of engineers at the University of Arizona is designing an autonomous border-surveillance system that uses artificial intelligence to collect, assess, and act on data in real time. The system will deploy drones on its own and integrate data from different sources, including aerial and ground vehicles, to respond effectively.
A team of engineers at Vanderbilt University has designed a novel solution to improve the accuracy of navigation systems used in delicate nose and throat surgeries. By using a thin layer of coffee grounds inside a stretchy silicone headpiece, they aim to reduce targeting errors caused by skin movement and accidental bumps.
Researchers from Case Western Reserve University proposed a new method to calculate and correct short-circuit errors in large-scale distribution systems. The method, which was published in IEEE/CAA Journal of Automatica Sinica, uses real-time simulations and modeling to optimize the system in just 74 milliseconds.
Researchers propose pairing remote wind farms with conventional units to reduce power storage needs, improving reliability. The approach uses an algorithm to estimate future wind states and provides limitations for extreme wind states.
Researchers aim to develop a system that can explain AI decisions to humans, making autonomous vehicles and robots more trustworthy. The project will utilize real-time strategy games like StarCraft to train AI players that can provide natural language explanations.
Researchers have developed a printable elastic conductor that retains high conductivity even after being stretched by five times its original length. The new material, made with silver nanoparticles, has potential applications in wearable devices and robots.