Articles tagged with Systems Engineering
Incheon National University researchers developed a web 3.0 streaming architecture that reduces delay, improves user experience, and ensures transparency and fairness for real-time services. The proposed system uses Inter-Planetary file system (IPFS) to enable blockchain-based peer-to-peer data storage and caching.
Scientists develop novel synthetic strategy to create highly ordered colloidal crystals using DNA as the bonding element. The approach enables the synthesis of 10 new crystals with potential for designing metamaterials with unprecedented properties.
Rice University engineers have developed a hybrid urban water supply system that combines conventional, centralized water sources with reclaimed wastewater to save energy and reduce freshwater use. The system is also more resilient against disruptions such as hurricanes and flooding.
Researchers have developed a new catalyst that exceeds 30% yield for the production of ethylene through oxidative coupling of methane, a more sustainable and economically viable method. The core-shell Li2CO3-coated mixed rare earth oxides catalyst enables sequential oxygen switching, replenishing its ability to provide oxygen for the r...
Next-generation mobile networks are being optimized for increased data loads and faster speeds using AI-driven techniques. The technology enables instantaneous communications between devices and the environment.
Ashok Veeraraghavan, a Rice University professor, has won the Edith and Peter O'Donnell Award in Engineering from the Texas Academy of Medicine, Engineering, Science and Technology. His research focuses on making invisible objects visible through imaging technology that tackles challenges beyond current technologies.
The new Repoint technology features a lift and move mechanism with passive locks, ensuring fault-tolerant operation even when two actuators fail. It has been successfully tested at a test track, demonstrating compatibility and functionality with conventional switch rail arrangements.
Korea Maritime & Ocean University researchers have developed a new method for assessing the path-following performance of autonomous ships in adverse weather conditions. The computational fluid dynamics model can provide more accurate predictions of path-following performance and enhance safety in autonomous marine navigation.
A novel transparent spectral converter, GdPO4-GC:Eu3+/Pr3+, absorbs UV photons and re-emits them as visible light, increasing photovoltaic devices' conversion efficiency. This technology shields PCs from UV damage and enhances their sensitivity to UV photons.
Researchers have developed a novel light source that minimizes interference zones, enabling stable and accurate information transmission. The technology utilizes conventional lighting systems, such as LEDs, to facilitate the simultaneous transmission of large amounts of data.
Researchers at KAIST have developed high-performance strains producing a variety of compounds, including succinic acid, biodegradable plastics, and biofuels. They provide insights into advancements in polyamide monomer production and synthesizing bio-based polyamides through chemical conversion.
A tiny bacterium, Vibrio natriegens, has been genetically engineered to increase its ability to extract rare earth elements through biosorption, a sustainable method. This breakthrough could improve the efficiency of processing and bring rare earth element mining back to domestic productivity.
A $161 million grant from the DOD will support research into tunable thermal conductivity and latent heat storage effects in materials. The new equipment enables analysis across a wide temperature range and various pressures and humidity levels, paving the way for adaptive materials with dynamically tunable phase change properties.
A novel low-cost UAV platform for electrical transmission line inspection has been developed, utilizing a GNSS receiver, RGB camera, and mm wave radar. The system enables small drones to inspect transmission lines at close range, addressing challenges such as magnetic field interference and harsh environments.
Researchers have developed an ion-exchange method that captures CO2 at room temperature, paired with an electrochemical cell to purify the gas. The technology has the potential to be powered by industrial waste heat or geothermal energy, reducing emissions and costs.
Recent advances in CRISPR-Cas genome engineering enable the creation of novel probiotic strains with potential treatments for various diseases. Genetically modified probiotics show great promise in treating cancers, inflammatory bowel disease, and obesity, while combating antibiotic resistance.
Researchers at Texas A&M's Institute for Quantum Science and Engineering are part of a $42 million program to advance laser-driven fusion energy. The RISE hub will focus on innovative target concepts, excimer gas lasers, and solid-state laser drivers to open up novel IFE regimes.
A new system combines pumped hydro storage with reverse osmosis desalination to produce both electricity and freshwater. The Integrated Pumped Hydro Reverse Osmosis System (IPHROS) can supply 661,000 homes' worth of energy and water daily.
Researchers use AI to develop dynamic modeling of brain graphs, capturing dynamics in continuous time for more accurate predictions and personalized treatment of brain diseases. The project aims to track disease development in individual patients and identify biomarkers associated with brain disorders.
Researchers at WVU develop a cotreatment process that reduces demand for chemicals to soften wastewater, allowing treated water to be reused up to 99% of its original volume. The study's findings offer a potential solution to the industry's water use challenge and could close the cycle of treating cooling tower blowdown and reusing it.
Researchers developed a novel approach to integrate multiple functions into a single chip using monolithic 3D integration of layered 2D materials. This technology offers unprecedented efficiency and performance in AI computing tasks, enabling faster processing, less energy consumption, and enhanced security.
The University of Central Florida has been awarded $50,000 each by the NASA Minority University Research and Education Project Partnership Annual Notification (MPLAN) awards. The research focuses on developing wireless multimodal sensors and studying sustainable aviation fuels to reduce environmental impact.
Researchers developed a lightweight wearable balance exercise device to improve reactive postural control in older adults, reducing the risk of falls. The device uses pneumatic artificial muscles to generate unexpected perturbations, resulting in improved peak displacement and velocity.
A team of researchers from Texas A&M University is developing a low-cost, safe, and controlled cancer treatment using programmable bacteria. The $20 million project aims to create an efficient bacterial therapeutic that can target cancer cells with high precision, reducing side effects and costs.
Researchers at Texas A&M University have developed a miniature, injectable glucose biosensor and wearable device that enables user-friendly, minimally-invasive continuous glucose monitoring. The device addresses challenges associated with existing CGMs, including size and skin tone compatibility.
A novel system for slip prevention of unmanned rovers has been developed by researchers at Shibaura Institute of Technology. The system uses strain displacement data to detect the traveling state of the rover and prevent slipping incidents. It also detects environmental obstacles, such as rocks and stones.
A team led by Lehigh University's Yahong Rosa Zheng is developing an Autonomous Observatory Node that can collect and transmit data from underwater sensors wirelessly, without the need for expensive subsea cables. The prototype aims to operate at depths of up to 1000 meters, enabling researchers to study extreme environments and detect...
The UTSA MATRIX AI Consortium has received a $2 million grant to create new AI models that rapidly learn, adapt, and operate in uncertain conditions. The team aims to bridge the gap between human brain processing efficiency and current AI limitations, enabling more efficient and adaptive AI systems.
Yu Yang's NSF-funded research aims to reduce vehicle emissions and promote the use of electric bikes and scooters by developing socially informed traffic signal control systems. The project involves a three-pronged method that uses low-cost mobile air-quality sensing, spatial-temporal graph diffusion learning, and reinforcement learnin...
A team of researchers has developed a novel experimental system to simultaneously measure the mechanical properties and internal structure of rubber-like materials. The study found that strain within these materials is non-uniform, depending on the shape and size of composite particles.
Researchers redesigned IVF needles to reduce fluid flow damage to eggs, improving oocyte collection and IVF success rates. The study uses computer models and mathematical simulations to optimize the design, which has been successfully tested in cattle, with plans for human trials.
The Southwest-Midwest Pediatric Device Innovation Consortium has supported over 200 pediatric device innovators and companies, developing several devices in the past five years. The consortium's portfolio includes real-world evidence research projects using digital tools for collecting and analyzing patient data.
Researchers introduced a cost-effective solution to correct tilt and curvature errors in two-photon polymerization 3D printing. The method uses Fourier scatterometry, which offers lower uncertainties than traditional methods, resulting in improved image quality and precision.
A large study of used cars and SUVs found battery electric vehicles driven almost 4,500 fewer miles than gas cars annually. This challenges current assumptions about emissions savings from EVs, highlighting the need for better understanding of driver behavior to accurately predict emissions reductions.
The study successfully enhances energy conversion efficiency by over twice that of conventional cells while reducing production costs by a factor of 3,000. This breakthrough could lead to widespread adoption in energy harvesting applications generating energy from waste heat.
Scientists developed a synthetic melanin that accelerates wound healing and protects against sun damage. The cream also quiets the immune system, allowing for continuous repair and reducing inflammation.
Researchers are combining biology, physics, computer science, and engineering to design electric circuits that mimic the brain's adaptive behavior. The goal is to create a more efficient AI application that can learn from history and adapt without significant energy consumption.
NYU Tandon's new 3D video technology is being used to enhance dance education by allowing students to learn techniques and choreography from various angles and distances. The project aims to make Point-Cloud Video suitable for streaming on standard devices, reducing bandwidth consumption and increasing accessibility.
A team of researchers from POSTECH successfully engineered a dual metalens capable of switching between different imaging modes using a single lens. This innovation enables fast mode-switching and acquisition of high-resolution images for applications such as bio-imaging and cellular reactions.
A new project aims to help robots assess risks and make autonomous decisions. The research focuses on quantifying ambiguity in robot perception to improve safety and efficiency.
Researchers from Texas A&M University's Department of Geography and collaborating departments aim to improve understanding of how environmental hazards influence human health outcomes. The project, 'Climate-LEAD,' will create robust models using localized data to inform decision-making in vulnerable communities.
Researchers from the UMA developed an open-source platform called Open Twins to create more accessible and versatile digital twins. This platform enables the simulation of real-world assets based on virtual replicas, predicting future behaviors and detecting anomalies, leading to more efficient companies that make data-driven decisions.
Texas A&M University is collaborating on a research project to track objects in high Earth orbits, expanding space domain awareness capabilities. The Space University Research Initiative aims to develop new technology and systems to monitor objects influenced by the moon's gravity.
The HY4RES project aims to develop hybrid renewable energy systems combining solar, wind, and pumped storage hydropower to provide energy self-sufficiency for communities. Researchers will conduct a life cycle sustainability assessment of the technologies' impacts on the Atlantic Area.
NTU Singapore has expanded its research collaborations with French partners to push the boundaries of science. The university has inked six new partnerships and renewed existing collaborations across various fields, including quantum physics, nuclear energy, and sustainability.
A WVU team is providing free technical assistance to local industrial facilities to reduce their impact on environmental and community health. The project aims to support businesses in making changes that benefit their communities while maintaining profitability.
Scientists propose new temperature guidelines for data centers that may help reduce energy consumption and save money. Researchers found that raising the temperature to around 41°C could lead to significant savings, with some areas able to rely entirely on free-cooling, reducing energy costs by up to 56%.
Researchers at Nanjing University have developed a miniaturized FSO system achieving an astonishing 9.16 Gbps bandwidth over 1 km link using readily available commercial fiber transceiver modules. The system enables automatic tracking and precision acquisition, eliminating the need for optical amplification.
The MIT team designed a train-like system of reactors that harnesses the sun's heat to produce clean hydrogen fuel with up to 40% efficiency. This could drive down costs and make solar thermochemical hydrogen (STCH) a scalable option for decarbonizing transportation.
Researchers developed a neural network model to accelerate detection of brain rhythms, reducing feedback signal delay from 500ms to 10ms. The approach shows promise for treating attention deficit disorder and epilepsy.
The company will use the funding to develop a novel method to produce high-accuracy optical encoders, which are crucial for modern automation and robotics systems. The goal is to enable the manufacturing of complex next-generation products with precision positioning and motion control.
A research team at UNIST has developed a groundbreaking stretchable high-resolution multicolor synesthesia display that generates synchronized sound and light. This technology shatters preconceived boundaries in multifunctional displays, offering unparalleled optical performance and precise sound pressure levels.
The ISOOS system uses a smart carrier as the mobile base and control center, connecting multiple UAVs, USVs, and AUVs for simultaneous 3D observation of targeted regions. This enables fast mapping of ocean floor and studying submesoscale eddies, previously difficult to access due to variability in space and time.
Post-Acute Sequelae of COVID-19 research aims to track long-term health symptoms in survivors. A $3.7 million grant will support the development of self-supervised deep learning technologies to recognize post-COVID lung progression phenotypes.
A coordinated network of space lasers could prevent collisions with manned and unmanned space assets by nudging debris off potential collision courses. The artificial intelligence-powered lasers can maneuver and work together to respond rapidly to debris of any size.
A new study by Caroline Hachem-Vermette and Kuljeet Singh analyzed the design and energy characteristics of various neighborhoods to assess their vulnerabilities to power outages. The researchers found that thoughtful design can reduce a neighborhood's energy vulnerability during disruptions, and they recommend modifications to shelter...
Researchers add graphene to Bi-2223 superconductors, increasing critical current density and improving phase formation. The findings suggest potential applications in various fields, including power generation, transportation, and quantum computing.
Researchers from FAU's College of Engineering and Computer Science employ a computer-vision deep learning technique to analyze wall-bounded turbulent flows. They successfully identify the sources of extreme events in a data-driven manner, providing new insights into non-linear relationships in fluid dynamics simulations.
Researchers are working on EdgeRIC: Real-time radio access network intelligent control, aiming to enhance wireless communication and machine learning. The project involves developing intelligent systems that can adapt to changing conditions, prioritizing users and acquiring lower latency for applications.
Researchers detected nine types of polymers and one type of rubber in cloud water, confirming microplastics play a key role in rapid cloud formation. The presence of hydrophilic polymers in the atmosphere could lead to significant changes in ecological balance and severe loss of biodiversity.