Results 111 to 120 of about 11,029 (268)
Urban green spaces experience a mix of natural and anthropogenic noises, which could disrupt the vocal communication of several species. This study investigated how such complex soundscapes affect the occurrence of Anaxipha pallidula, which communicates through calls, focusing on both sound level and quality.
Hiroki Mori, Takeshi Osawa
wiley +1 more source
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge +4 more
wiley +1 more source
Asiatic black bears in Russia face conservation threats such as habitat destruction and fragmentation, which exacerbate food shortages caused by crop failures. This study explores an innovative approach to rehabilitating bears that abandon hibernation in mid‐winter due to extreme exhaustion by providing supplemental food near their den sites.
Sergey A. Kolchin +2 more
wiley +1 more source
Simulation of High-speed Railways
第13回試験技術ワークショップ (2015年12月18日. 宇宙航空研究開発機構筑波宇宙センター), つくば市, 茨城 13th Workshop on Environmental Testing (December 18, 2015. Tsukuba Space Center, Japan Aerospace Exploration Agency (JAXA)), Tsukuba, Ibaraki, Japan 高速鉄道は大規模・高速で、実験が困難である。そこで新幹線の高速走行時の大規模な非線形動的現象を効果的に解くため、FEMとMBDを併用しモーダル法を用いた、高速走行のシミュレーションプログラムの概要が述べられ、地震対策のための高速走行時の脱線を含むシミュレーション結果が紹介される。 形態 ...
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Graph neural network‐based attack prediction for communication‐based train control systems
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao +3 more
wiley +1 more source
Application of Intelligent Systems in CO2 Management: State of the Art and Future Prospects
ABSTRACT Machine learning (ML) integration is becoming increasingly popular in advancing the 4th industrial revolution, known as Industry 4.0. This review paper examines ML applications in CO2 management stages: emission, capture, and conversion. ML models, including multiple linear regression (MLR), multiple nonlinear regression (MNLR), and artificial
Muhammad Zulkefal +7 more
wiley +1 more source
ABSTRACT This paper provides an overview of high‐temperature superconducting (HTS) cables in DC systems, with a focus on their deployment in high‐voltage DC (HVDC) networks. The assessment of HTS cable properties—such as extremely low electrical resistance, high current‐carrying capacity and a compact geometry—and their comparison with those of ...
Mohammad Hossein Mousavi +2 more
wiley +1 more source
Application Status and Development Trends of DC Ice‐Melting Devices in China's Power Grid
This paper summarises the development history and engineering application status of DC ice‐melting devices (DCIMD) in China, analyses the principles, advantages, disadvantages and adaptability of mainstream topologies and discusses the key problems and corresponding improvement directions.
Ming Lei +6 more
wiley +1 more source
The Graphical Abstract depicts the proposed Artificial Bee Colony algorithm‐based optimal tuning of PI controllers for back‐to‐back Voltage Source Converters in a hybrid wind–PV system. ABSTRACT This paper proposes a hybrid model‐based back‐to‐back voltage‐source converter (B2B‐VSC) system comprising a Photovoltaic (PV) array and a Permanent Magnet ...
Ch. Sreenu +3 more
wiley +1 more source
Deep learning-based high-speed railway communication systems. [PDF]
Ha DV, Chien TV, Ngo HQ.
europepmc +1 more source

