Technical institutes
Researchers at Northwestern Polytechnical University have designed a new intrusion detection system called KronNet, which is capable of operating within the stringent resource constraints of Internet of Things (IoT) devices. KronNet leverages a lightweight feed-forward neural network enhanced with Kronecker product operations to detect various types of attacks in real-time.
Technical institutes
Research conducted by the Beijing Institute of Technology has resulted in a novel combination of deep learning algorithms with large-scale real-world charging data, providing practical solutions for promoting electric vehicle adoption and achieving low-carbon transportation. The study aimed to analyze current charging behaviors and evaluate the impact of key variables
Technical institutes
Research conducted at Anhui Polytechnic University in Wuhu, People's Republic of China, has resulted in the development of a novel neural network-based spectral optimization model for enhancing the performance and detection accuracy of gas sensors using tunable diode laser absorption spectroscopy (TDLAS) technology. The model, which combines a
Technical institutes
Researchers at Omsk State Technical University have been investigating the application of artificial neural networks for saturation correction in current and voltage transformers. Their study found that artificial neural networks can increase accuracy in signal processing, improving the reliability and safety of electric power systems. Under saturation conditions, transformers can
Technical institutes
Researchers at Quchan University of Technology in Quchan, Iran, have made a breakthrough in the field of photoremediation, developing selenium-doped boron carbide nanoparticles (Se@BC-NPs) that can effectively remove 3-monochloropropane-1,2-diol (3-MCPD) from aqueous solutions. This contaminants is known to exert renal and reproductive toxicities, and the new nanoparticles show
Technical institutes
A team of researchers at Henan Polytechnic University in China has developed a highly selective gas sensor for the rapid detection of ethylene using Pt nanoparticles functionalized MnO. According to the study, the newly designed sensor exhibits excellent ethylene gas-sensing performance, with a maximum response value of 7.4-1000 ppm
Technical institutes
Researchers from the Royal Institute of Technology (KTH) in Stockholm, Sweden, have made a significant discovery in nanotechnology by developing structurally colored films based on acetylated lignin nanoparticles. The team's innovative approach utilizes membrane emulsification and self-assembly to create multilayered films that exhibit vivid structural colors resulting from
Technical institutes
The Technical College System of Georgia's (TCSG) Dual Achievement Program has received a significant boost with a $25,000 contribution from AT&T. This investment will provide loaner computers and digital literacy training to underserved students participating in the program, enabling them to succeed in the classroom
Technical institutes
The Horndean Technology College community in Hampshire is reeling from a devastating announcement that two students from the same year passed away on the same day in unrelated incidents. The tragic events occurred outside of the school premises on Monday, July 7. The identities of the two pupils have not
Technical institutes
A devastating incident has shaken Horndean Technology College, where two students from the same year group tragically lost their lives on the same day in unrelated incidents. The incidents occurred off school premises on Monday, 7th July, leaving the community in shock. The school has confirmed that both students were
Technical institutes
Research from the Dalian University of Technology in China has led to a new study on Mathematics, where a team of engineers designed a UAV-ISAC assisted IoT system to sense and acquire information from IoT devices in complex environments. This system utilizes Integrated Sensing and Communications (ISAC) technology, which is
Technical institutes
In a bid to enhance the security and reliability of underwater sensor networks (USN), researchers at Dalian University of Technology have proposed an intelligent trust evaluation method based on fuzzy clustering and dynamic weight allocation. The method addresses the challenge of determining optimal weights and thresholds in dynamic underwater environments,
