Articles tagged with Industrial Engineering
A novel deep learning-based forecasting model predicts uncertain parameters related to renewable energy sources, their energy demand, and market prices. The model demonstrates improved prediction accuracy and efficiency compared to existing methods.
Researchers developed a new method for removing bisphenol pollutants and lignin derivatives using activated peroxymonosulfate and photothermal technology. The material, C-defects/C-O band-modified ultrathin porous carbon nitride, has shown faster reaction rates and improved oxidizing ability compared to conventional materials.
Researchers at Osaka Metropolitan University developed a new method to evaluate X-ray microbeam diameter using mathematical analysis, outperforming conventional methods. The uniform evaluation method is expected to be widely adopted as an international standard.
Researchers from Tsinghua University develop a new strategy to decouple temperature and pressure in hydrothermal carbonization, breaking the temperature limit. This process produces high-quality carbon microspheres with abundant oxygen-containing functional groups and good thermal stability, suitable for various applications including ...
A research team at Osaka Metropolitan University successfully synthesized fumaric acid from CO2 using sunlight, paving the way for a renewable energy-powered alternative to traditional plastics. The findings could help reduce greenhouse gas emissions and promote sustainable production of biodegradable plastics.
Researchers developed a new method using Bayesian estimation to reduce X-ray fluorescence analysis time from 7 seconds to 3 seconds per measurement point, saving up to 11 hours for large-scale elemental distributions.
The study suggests that increased demand for energy transition metals could be more disruptive to some communities than winding back production of thermal coal. An additional 115.7 million people would be at risk from disruption by ETMs.
University of Missouri engineers are working on a collaborative human-robot order picking system to speed up the online delivery process. The proposed model aims to optimize key decisions in warehouse operations, allowing robots to navigate efficiently and collaborate with humans to increase efficiency.
Chung-Ang University researchers propose a new algorithm, MR-UCB and MR-APE, to tackle stochastic multi-armed bandit problems with heavy-tailed noise distributions. The methods guarantee minimal loss for worst-case scenarios with minimal prior information.
A new microscopy system using optical tapered fibers has successfully acquired images of photoacoustic signals without contrast agents. The resolution is sufficient for cellular imaging, including red blood cells, with a resolution of 1.0 ± 0.3 micrometers.
Researchers will develop interactive game-based mental health intervention using autonomic biofeedback training to identify users' emotional states. The technology aims to provide personalized interventions for stress- and anxiety-related events in real-time.
A research team at POSTECH developed a skin-attachable microphone sensor that clearly detects voices even in harsh noisy environments. This technology can be used for disaster-response communication between medical professionals wearing protective equipment and firefighters wearing gas masks.
Researchers have developed an intermetallic palladium-zinc alloy with high corrosion resistance and improved catalytic activity. The alloy's unique structure creates a protective skeletal shell around the zinc atoms, preventing leaching and increasing its durability as an electrocatalyst for ethanol oxidation reactions.
Researchers from NC State University have developed a dynamic computational tool to help improve user access to electric vehicle (EV) charging stations. The technique accounts for factors such as charging time, cost, and wait times to provide users with the most convenient options.
A recent study published in Engineering Construction & Architectural Management identified the main obstacles preventing digital transformation in the engineering and construction industry. The three main problems are a lack of laws and regulations, a lack of support and leadership, and a lack of resources and professionals.
A team of researchers developed a power sector model to analyze pathways to full independence from Russian natural gas imports. The study found that Europe can eliminate reliance on Russian gas by augmenting REPowerEU plans with temporary boosts in coal and recalibrated gas storage.
A research team at POSTECH and Sungkyunkwan University has developed an ultrahigh refractive index metamaterial that maximizes light-matter interaction. The material recorded the highest-ever refractive index of 7.8 in visible and near-infrared regions, enabling strong reflection of specific wavelengths.
Researchers develop a novel approach to increase proton transfer kinetics, enabling efficient industrial-scale water splitting. The new strategy, which integrates molecular-level proton acceptors into the catalyst, improves oxygen evolution reaction rates and achieves high current densities at low overpotential.
A new study published in Joule provides energy systems models for quickly eliminating EU and UK dependence on Russian natural gas. Researchers at Binghamton University offer several paths to achieve this goal, which could help mitigate the ongoing crisis.
A study published in ACM Transactions on Computer-Human Interaction found that individuals who read text in a font better suited to their needs experienced a significant increase in reading speed, with an average gain of 35%. The research highlights the importance of personalization in improving reading efficiency and comprehension.
A new study takes inspiration from the 'waggle dance' of honeybees to devise a way for robots to communicate effectively in situations with unreliable network communications. Researchers designed a visual communication system using on-board cameras, allowing robots to interpret gestures and convey complex information.
Researchers have developed a copper-based metal-organic framework (Cu-MOF) to separate propane and ethane from methane, offering a promising alternative to traditional cryogenic distillation. The Cu-MOF exhibits high adsorption capacity and selectivity for C2-C3 hydrocarbons.
A new mathematical model has been developed to reproduce the experimental results of topological change in a partially miscible VF pattern. The researchers successfully incorporated phase separation effects and the Korteweg force into the classical miscible VF model.
A new membrane stabilizes lithium electrodes by regulating the ion electrodeposition process, leading to improved battery performance. The study demonstrates a significant step towards developing safer and more efficient lithium metal batteries.
Researchers from Tokyo University of Science have designed a tunable physical reservoir device based on dielectric relaxation at an electrode-ionic liquid interface. The system can store and process analog signals, enabling real-time processing of signals in living environments.
A new study from the University of Kansas found that effective change agents and realistic timelines are crucial for successful change implementation. The study identified six key organizational change management practices to achieve high adoption of change initiatives in the AEC industry.
Engineers at University of California - Santa Barbara found that suspensions exhibit distinct behaviors when measured at varying scales. The study highlights the limitations of approximations and has industrial applications in manufacturing.
Researchers have developed a 3D, interconnected boron nitride network to improve thermal conductivity in lithium-ion batteries. The network increases the lifespan of batteries by reducing surface temperatures during charging and discharging.
Researchers at Tokyo Institute of Technology have developed a novel method to calculate pixel intensity in parallel, reducing latency and enabling efficient dynamic projection mapping. This breakthrough technology has the potential to advance spatial AR applications and bring us closer to a more immersive AR-centric future.
A system developed by University of Houston pioneer Gino Lim extends small drone battery life to enable continuous live monitoring and border surveillance. The E-line battery charging system eliminates the need for battery charging stations, enhancing border security and reducing agent response time.
Researchers develop liquid-gas absorption system to store thermal energy in chemical potential, achieving 33% greater energy storage density. The new method uses ionic liquids as absorbents, offering a promising solution for reducing carbon emissions from thermal energy.
Researchers at University of Missouri found a long-term association between adolescent psychological well-being and adult cardiovascular disease risk. People who are more optimistic in their youth can lower their chances for heart disease as adults.
The seminar on geothermal energy held by the Society of Petroleum Engineers (SPE) showcases the growing interest in the renewable source among oil and gas professionals. The event highlights opportunities for oil and gas experts, market trends, challenges, and potential solutions for scaling geothermal energy globally.
Researchers at RMIT University have developed a smart and super-efficient way of capturing carbon dioxide and converting it to solid carbon, which can be integrated into existing industrial processes. The technology offers a pathway for instantly converting CO2 as it is produced, locking it permanently in a solid state.
A new method for generating formate has been developed, utilizing electrochemical anodic oxidation. The process produces high-quality formate with a selectivity of 96.4% and a partial current density of 285 mA·cm−2. This method is scalable, simple, and efficient, making it a promising candidate for large-scale industrial production.
A research team discovered that increasing Co-doping level in perovskite oxide thin film activates lattice oxygen, improving the performance of solid oxide fuel cell (SOFC) anodes. However, exceeding 70% Co-doping degrades stability, limiting optimal performance.
Researchers at Aarhus University have developed a simple analytical model to predict chip formation and optimize surface finish in manufacturing processes. The study reveals the critical cutting depth for almost every material, tool geometry, and running conditions, minimizing tool wear and improving product quality.
A study by Technical University of Munich found that major tech companies significantly underreported CO2 emissions from their value chain, with 50% of emissions omitted in 2019. The researchers developed a method to identify reporting gaps and estimated the omitted emissions at 751 megatons carbon dioxide equivalents.
The 'Rolling Fingers' robotic hand can move objects in a single grasp without needing two arms, simplifying tasks for robots. Its adaptive fingers and rotating skin enable safe manipulation of non-rigid objects, making it suitable for industrial and clinical applications.
A team of engineers at the University of Arizona is using machine learning methods to monitor and mitigate defects in additive manufactured metal parts designed for use in extreme environments. The system combines data processing, process optimization, materials analysis, and machine learning to predict defects.
Developed a highly efficient boiling immersion cooler using lotus metals, increasing critical heat flux from 200 W/cm² to 530 W/cm² or more. The technology is expected to solve the heat concentration problem of in-vehicle power semiconductors and be applied to CPUs for workstations and large-scale servers.
Shear thickening occurs when particles in a low-viscosity solution behave like a solid under stress. Researchers at North Carolina State University captured microscopic images of particles as they underwent shear thickening, revealing complex networks formed between particles and their shapes dependent on particle roughness.
A Japanese collaborative team presents a novel method for tuning hydrodynamic interfacial instability through a thermodynamic parameter controlling liquid–liquid phase separation. They successfully predict pattern changes of a growing interface by applying the maximum entropy production principle.
Researchers developed a high-precision THz time-domain ellipsometry system to characterize wide-gap semiconductors. The system can measure carrier densities up to 10^20 cm^-3 with superior accuracy and precision, resolving a long-standing challenge in the field.
Researchers from India and Saudi Arabia have combined oxidation and photocatalysis to create a heterogeneous photo-Fenton system that degrades phenols at higher rates than individual approaches. The system is highly photostable and reusable, making it promising for practical applications in wastewater purification.
Researchers at Tokyo Institute of Technology developed a tunable neural network framework that achieves high accuracy and efficiency for sparse CNNs. The new architecture employs a Cartesian-product MAC array and pipelined activation aligners to enable dense computing of sparse convolution, resulting in better resource utilization.
Researchers found significant periodic flow velocity fluctuations in fuel injector ignite combustion oscillations, leading to high mechanical stress on the combustion chamber. The findings provide a reasonable answer for why these oscillations occur and have significant implications for preventing fatal damage in critical engines.
A joint research paper by Professor Sungil Kim and Ph.D. student YongKyung Oh has been commended for excellence in the 2021 IISE Annual Conference. The team developed a real-time anomaly detection model using maritime big data, showcasing a technique to quantify uncertainty in anomaly detection.
A special supplement to the journal WORK explores the latest advances in comfort research, highlighting the importance of human behavior in determining comfort. The studies examined various factors, including the impact of posture, movement, and environmental conditions on comfort.
A study by Ben-Gurion University researchers found that digital 'foot-in-the-door' techniques can entice users to reveal more of their private information. By manipulating the presentation order and spreading out requests over multiple pages, websites can increase sign-up rates and capture more data.
A University of Pittsburgh professor is utilizing optimization techniques to find effective solutions for mitigating forest fires. The project aims to predict when and where fuel treatment methods should be implemented to best control wildfires.
Researchers created a stress-detecting polymer by incorporating copper complexes into polybutylacrylate, shining brighter when stretched. The copper complexes emit light at greater intensity, enabling the detection of small amounts of stress.
Chelsea Heveran and her team have developed a novel approach to make building materials alive, using photosynthetic bacteria called Synechococcus. The self-healing bricks can be replicated and reused, reducing the need for cement and other chemicals.
UTA researchers create a non-contact testing system to inspect bridges without disrupting commuters. The system uses sensors mounted on a moving platform to detect mechanical waves and map hidden damage, enabling more accurate maintenance plans.
A new research study suggests that redesigning the contract for the Medicare Shared Savings Program could lead to significant cost savings. The proposed changes aim to align provider incentives with performance-based subsidies, increasing reimbursement payments and improving healthcare outcomes.
Researchers at the University of Michigan have devised a method for working with uncertainty in deadlines. By mapping out the uncertainty and incorporating it into a project management system, managers can improve their success rates. This technique can help managers save time and resources by focusing on less uncertain requirements.
A mobile application will register natural head and body movements, distinguish between different skin tones and lighting conditions, and capture vital signs such as pulse rate. The project aims to expand beyond a 'wellness app' classification by the FDA, to an FDA-approved tool that can be used globally.
Researchers discovered that Sonora cactus pads undergo complex microscale, seasonal and age-related wettability changes. This unique characteristic is now being applied to develop smart materials for hazmat suits, which will preserve water while allowing vapor and heat transfer.
Professor Sheldon Jacobson and his students developed a risk-based security system that streamlined airport screenings, saving an estimated $350 million annually. Their work led to the creation of TSA PreCheck, which uses dynamic models to assess passenger risk over time.
Researchers found that cyclists experience only 5-7% of the air resistance they face when solo riding. This discovery may lead to more successful escapes and changes the positioning strategy for professional cycling teams.