Results 151 to 160 of about 158,128 (305)

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

Energy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source

Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network

IET Networks, EarlyView., 2022
Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley   +1 more source

Selection of Rational Scheme for Inspection of Overhead Power Transmission Lines with 35 kV Voltage and Higher

Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика, 2012
The paper considers four variants of inspection of overhead power transmission lines with 35 kV voltage and higher. Technical and economic indices for every inspection variant have been determined in the paper. The most rational inspection variant of the
R. G. Voytko, M. A. Korotkevich
doaj  

Performance Analysis of SVD-assisted Downlink Multiuser MIMO Systems

, 2010
Multiuser multiple-input multiple-output (MIMO) downlink (DL) transmission schemes experience both multiuser interference as well as inter-antenna interference.
Ahrens, Andreas, Aust, Sebastian, Benavente Peces, César   +2 more
core  

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

Insulator fault feature extraction system of substation equipment based on machine vision

IET Networks, EarlyView., 2022
Abstract The artificial intelligence technology and intelligent automation are more and more widely used, the insulators play a supporting and insulating role in the operation of the grid. The use of machine vision inspection technology to detect insulator faults has become an inevitable trend of the times.
Keruo Jiang, Qiaoqun Xia, Lijun Ma, Xin Xu, Zhipeng Shao   +4 more
wiley   +1 more source

Incorporating Crowdsourced Data Into Operational Products: A Perspective From a National Meteorological Service

International Journal of Climatology, EarlyView.
Future advances in the fields of meteorology and climate science will require scientists to increasingly strive towards the provision of new high‐resolution services. In this context, the development of new products and services along the weather chain may greatly benefit from the adoption of second‐and‐third‐party data (23PD) as a source of high ...
Irene Garcia‐Marti, Christopher W. Brown, Alessandro Spinuso, Gijsbert Kruithof, Theo Brandsma, Jan Willem Noteboom   +5 more
wiley   +1 more source

Distributed wireless network resource optimisation method based on mobile edge computing

IET Networks, EarlyView., 2022
This paper mainly compares the network ranking leader, consumption amount and network signal reception of the three algorithms. The study found that in terms of network sort captain, there are significant differences between the CPLEX algorithm, the CCST algorithm, and edge computing methods. The CCST algorithm and edge computing have little difference
Jiongting Jiang, Chao Quan, Kai Qian, Jiefeng Pan, Yueping Yang   +4 more
wiley   +1 more source

Field Studies on the Influence of High‐Voltage Direct Transmission Underground Cables on Soils Along the SuedLink Route in Southwest Germany

Journal of Plant Nutrition and Soil Science, EarlyView.
During regular operation of the SuedLink at a load ≤75 %, the average increase in temperature in the plowing horizon is expected to be less than 1.6°C in the soils along the route in Southwest Germany. ABSTRACT Background The SuedLink was planned as a high‐voltage direct‐current underground cable route. The construction itself is a massive intervention
Joachim Ingwersen, Alexander Schade, Andreas Lehmann, Jonas Trenz, Maja Schreiber, Christoph Drefke, Harald Schramm, Christian Bidlingmaier, Simone Graeff‐Hönninger, Thilo Streck, Karl Wieland   +10 more
wiley   +1 more source

Elevator dynamic monitoring and early warning system based on machine learning algorithm

IET Networks, EarlyView., 2022
In order to monitor and warn the elevator dynamics, in this work, the machine learning algorithm is introduced, and the particle swarm algorithm is used to perfect the model. The model is optimised, and the experimental comparison shows that the optimisation of the model parameters can further improve the accuracy of the elevator load prediction. Then,
Shuai Zhang, Qiangguo Yin, Jinlong Wang
wiley   +1 more source