Browse Topic: Electronic equipment
In this article we will discuss the development and implementation of a computer vision system to be used in decision-making and control of an electro-hydraulic mechanism in order to guarantee correct functioning and efficiency during the logistics project. To achieve this, we have brought together a team of engineering students with knowledge in the area of Artificial Intelligence, Front End and mechanical, electrical and hydraulic devices. The project consists of installing a system on a forklift that moves packaged household appliances that can identify and differentiate the different types of products moved in factories and distribution centers. Therefore, the objective will be to process this identification and control an electro-hydraulic pressure control valve (normally controlled in PWM) so that it releases only the hydraulic pressure configured for each type of packaging/product, and thus correctly squeezing (compressing) the specific volume, without damaging it due to
Lithium-ion batteries (LIBs) have consolidated their place in the technology market for the energetic transition, with global manufacturing capacity exceeding 1 TWh in recent years and costs falling in this competitive environment. At the same time, the number of end-of-life LIBs is increasing, stimulating the recycling industry to process battery streams, thus promoting the circular economy to meet the increased demand for strategic raw materials and decarbonization. Vehicle electrification is the main driver of battery production, but their end-of-life will take some time to be significant in volume in the next years. Consumer electronics such as smartphones, laptops and power tools are now available at an appropriate volume enabling the preparation of recycling industry for the moment. In this scenario, recyclers are looking for sustainable routes to absorb all these streams and the different LIBs chemistries (LFP, NCA, NMC, LCO, LMO) to recover the critical metals (Ni, Co, Cu, Mn
Dangling from a weather balloon 80,000 feet above New Mexico, a pair of antennas sticks out from a Styrofoam cooler. From that height, the blackness of space presses against Earth’s blue skies. But the antennas are not captivated by the breathtaking view. Instead, they listen for signals that could make air travel safer.
In the race toward practical quantum computers and networks, photons — fundamental particles of light — hold intriguing possibilities as fast carriers of information at room temperature. Photons are typically controlled and coaxed into quantum states via waveguides on extended microchips, or through bulky devices built from lenses, mirrors, and beam splitters. The photons become entangled — enabling them to encode and process quantum information in parallel — through complex networks of these optical components. But such systems are notoriously difficult to scale up due to the large numbers and imperfections of parts required to do any meaningful computation or networking.
Researchers from RMIT University have developed a wearable wound monitoring device with integrated sensors that could reduce infection risks by minimizing the need for frequent physical contact.
Cornell researchers have developed a low-power microchip they call a “microwave brain,” the first processor to compute on both ultrafast data signals and wireless communication signals by harnessing the physics of microwaves.
This standard is for use by organizations that procure and integrate EEE Parts. These organizations may provide EEE Parts that are not integrated into assemblies (e.g., spares and/or repair EEE Parts). Examples of such organizations include, but are not limited to, the following: Original Equipment Manufacturers; contract assembly manufacturers; maintenance, repair, and overhaul (MRO) organizations; and suppliers that provide EEE Parts or assemblies as part of a service. These requirements are intended to be applied (or flowed down as applicable) through the supply chain to all organizations that procure and integrate EEE Parts and/or systems, subsystems, or assemblies. The mitigation of Counterfeit EEE Parts in this standard is risk based. These mitigation steps will vary depending on the criticality of the application and desired performance and reliability of the equipment/hardware. The requirements of this document are used in conjunction with the organization’s higher-level
Waiting for a wound to heal is incredibly frustrating. First, it must clot; then an immune system response is needed; followed by scabbing and scarring — and that’s not even getting into the pain part.
In contemporary society, where Global Navigation Satellite Systems (GNSS) are utilised extensively, their inherent fragility gives rise to potential hazards with respect to the safety of ship navigation. In order to address this issue, the present study focuses on an ASM signal delay measurement system based on software defined radio peripherals. The system comprises two distinct components: a transmitting end and a receiving end. At the transmitting end, a signal generator, a first time-frequency synchronisation device, and a VHF transmitting antenna are employed to transmit ASM signals comprising dual Barker 13 code training sequences. At the receiving end, signals are received via software-defined radio equipment, a second time-frequency synchronisation device, a computing host, and a VHF receiving antenna. Utilising sliding correlation algorithms enables accurate time delay estimation. The present study leverages the high performance and low cost advantages of the universal
During the first two years of life, the motor development of children is monitored closely, as motion is the natural base for their other development and interaction with the environment. Current methods do not allow accurate developmental monitoring throughout early childhood.
This document provides user information on best practice methods and processes for the in-service inspection, evaluation, and cleaning of expanded beam (EB) fiber optic interconnect components (termini, alignment sleeves, and connectors), test equipment, and test leads based on the information provided in AIR6031 and ARP6283. This document provides the user with a decision-making tool to determine if the fiber optic components are acceptable for operation with EB fiber optic termini.
Applications for AI are growing by leaps and bounds, which means we need many more data centers to handle the vast computing workload. Providing power to run all of them is a serious challenge. Part of the solution is to reduce their energy load by making them more efficient. The computing circuits could be designed to minimize losses, and the most efficient semiconductors can be chosen. But there is an upper limit to the efficiency of the electronics — there will always be losses in the form of heat.
Hensoldt Taufkirchen, Germany nico.fritz@hensoldt.net
A team of Caltech engineers has developed a technique for inkjet printing arrays of special nanoparticles that enables the mass production of long-lasting wearable sweat sensors. These sensors could be used to monitor a variety of biomarkers, such as vitamins, hormones, metabolites, and medications, in real time, providing patients and their physicians with the ability to continually follow changes in the levels of those molecules.
Although lithium is highly effective to treat bipolar disorder, the chemical has a narrow therapeutic window — too high a dose can be toxic to patients, causing kidney damage, thyroid damage, or even death, while too low a dose renders the treatment ineffective.
Researchers have developed a portable device capable of detecting rare genetic mutations from a single drop of blood. The instrument was shown in lab experiments to quickly and accurately test for a genetic condition called hereditary transthyretin amyloidosis, which can cause heart problems. The disease is caused by a genetic mutation in the transthyretin gene. This mutation can lead to heart failure, especially in people of West African ancestry. The device, which amplifies nucleic acid segments and detects mutations using a microchip aims to bring a device equal to the performance and accuracy of a polymerase chain reaction (PCR) test, typically confined to laboratories, into doctors’ offices, homes, and community centers.
In today’s medtech landscape, innovation isn’t just about what a device does — it’s about how reliably and cost-effectively it gets to market. As devices grow smaller, smarter, and more user-centered, materials like liquid silicone rubber (LSR) play a bigger role in enabling performance, comfort, and compliance. From implantables to connected wearables, LSR is helping engineers meet growing design and usability demands. As demand for the material grows, so do the pressures on supply chains, including launch timelines, increased regulatory scrutiny, and rising technical complexity.
Researchers have developed a wearable wound monitoring device with integrated sensors that could reduce infection risks by minimizing the need for frequent physical contact. The proof-of-concept device is designed for reuse, making it more cost-effective and practical than disposable smart bandages and other emerging wound monitoring technologies.
Scientists have produced a new, powerful electricity-conducting material that could improve wearable technologies, including medical devices. The new technique uses hyaluronic acid applied directly to a gold-plated surface to create a thinner, more durable film, or polymer, used to conduct electricity in devices like biosensors. It could lead to major improvements in the function, cost, and usability of devices like touchscreens and wearable biosensors.
In today’s digital age, the use of “Internet-of-Things” devices (embedded with software and sensors) has become widespread. These devices include wireless equipment, autonomous machinery, wearable sensors, and security systems. Because of their intricate structures and properties there is a need to scrutinize them closely to assess their safety and utility and rule out any potential defects. But, at the same time, damage to the device during inspection must be avoided.
In the race toward practical quantum computers and networks, photons — fundamental particles of light — hold intriguing possibilities as fast carriers of information at room temperature. Photons are typically controlled and coaxed into quantum states via waveguides on extended microchips, or through bulky devices built from lenses, mirrors, and beam splitters. The photons become entangled – enabling them to encode and process quantum information in parallel – through complex networks of these optical components. But such systems are notoriously difficult to scale up due to the large numbers and imperfections of parts required to do any meaningful computation or networking.
Reliable antenna performance is crucial for aircraft communication, navigation, and radar detection systems. However, an aircraft’s structure can detune the antenna input impedance and obstruct radiation, creating a range of potential problems from a low-quality experience for passengers who increasingly expect connectivity while in the air, to violating legal requirements around strict compliance standards. Determining appropriate antenna placement during the design phase can reduce risk of costly problems arising during physical testing stages.
Reliable antenna performance is crucial for aircraft communication, navigation, and radar detection systems. However, an aircraft's structure can detune the antenna input impedance and obstruct radiation, creating a range of potential problems from a low-quality experience for passengers who increasingly expect connectivity while in the air, to violating legal requirements around strict compliance standards. Determining appropriate antenna placement during the design phase can reduce risk of costly problems arising during physical testing stages. Engineers traditionally use a variety of CAD and electromagnetic simulation tools to design and analyze antennas. The use of multiple software tools, combined with globally distributed aircraft development teams, can result in challenges related to sharing models, transferring data, and maintaining the associativity of design and simulation results. To address these challenges, aircraft OEMs and suppliers are implementing unified modeling and
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