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Biography
Lynn Gelhar
Lynn Gelhar is an American civil engineer focusing in hydrology and is currently Professor Emeritus at Massachusetts Institute of Technology.[1][2] He is recognized for pioneering research in stochastic subsurface hydrology, has leading research in the area of field-scale contaminant transport experiments, and has extensive experience on the hydrologic aspects of nuclear waste disposal. Lynn
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  • 08 Dec 2022
Biography
John Hotaling
John Ritter Hotaling (March 3, 1824 – October 12,[1] 1886) was an United States soldier, engineer, and businessman. He served as a dragoon in the Mexican–American War and as a cavalry officer and senior staff member of General John Logan's during the American Civil War. After the war, Hotaling was elected postmaster of Rochelle, Illinois; a position he occupied for 15 years, after which he r
  • 293
  • 08 Dec 2022
Biography
Paul F. McManamon
Paul F. McManamon (born July 1, 1946) is an American scientist who is best known for his work in optics and photonics, as well as sensors, countermeasures, and directed energy. McManamon was born in East Cleveland, Ohio. He attended St Ignatius high school, where he has been recognized as a distinguished graduate.[1] He received his BS in physics from John Carroll University. He received his
  • 545
  • 08 Dec 2022
Biography
Hugo Kükelhaus
Hugo Kükelhaus (March 24, 1900 – October 5, 1984) was a German carpenter, writer, pedagogue, philosopher and artist. Hugo Kükelhaus is best known for his infant toys "allbedeut" and the "Experience field for the development of the senses." Throughout his life he presented his views for a humane-scaled living environment in talks and publications. Besides this he is regarded as a harbinger fo
  • 311
  • 08 Dec 2022
Topic Review
Machine Learning Technologies for a Solar Plant’s System
A solar plant system has complex nonlinear dynamics with uncertainties due to variation of the system parameters and insolation. Thereby, it is sophisticated to approximate these complex dynamics by conventional algorithms whereas Machine Learning (ML) methods yield the essential performance. ML models are key units in recent sensor systems for the solar plant’s design, forecasting, maintenance, and control to provide best safety, reliability, robustness and performance, as compared to classical methods which are usually employed in hardware and software of the solar plants. 
  • 615
  • 08 Dec 2022
Topic Review
Virtual Collection for Distributed Photovoltaic Data
With the rapid development of distributed photovoltaic systems (DPVS), the shortage of data monitoring devices and the difficulty of comprehensive coverage of measurement equipment has become more significant, bringing great challenges to the efficient management and maintenance of DPVS. Virtual collection is a new DPVS data collection scheme with cost-effectiveness and computational efficiency that meets the needs of distributed energy management but lacks attention and research.
  • 684
  • 08 Dec 2022
Topic Review
Features in Interdigitated Electrode Array
The electrical double layer (EDL) and crucial parameters such as sensitivity, selectivity, specificity, and limit of detection (LOD) are prominent to determine the interdigitated electrode array (IDEA)-based electrochemical sensor. The design of IDEA focuses on controlling the width and gap measurements between the adjacent fingers and increases the IDEA’s height are crucial because all the design measurement and parameters affected the IDEA-based electrochemical sensor functionality according to the application usage.
  • 1.1K
  • 08 Dec 2022
Topic Review
Tree Information Modeling
Tree Information Modeling (TIM) is conceived as a digital representation of the physical and functional characteristics of a tree. It is a framework following the same tree description system (TDS) to create the digital twins of trees in real life. This framework enables easier data exchange and knowledge-sharing about trees cross multiple related professions such as urban forestry, arboriculture, and botanic plant modeling. With interdisciplinary cooperations in TIM applications, decision-making and supporting tools can be developed to guide trees' planning and life-long management.
  • 857
  • 08 Dec 2022
Topic Review
Cost-Effective Zinc–Iron Redox Flow Batteries
Zinc–iron redox flow batteries (ZIRFBs) possess intrinsic safety and stability and have low electrolyte cost. ZBRFB refers to an redox flow batterie (RFB) in which zinc is used as the electrochemically active substance in the electrolyte solutions. The zinc electrode has a reversible anode potential. Zinc ions are stable in both alkaline and acidic environments, even in a neutral electrolyte, and the electrochemical reaction rate is relatively fast. 
  • 1.3K
  • 08 Dec 2022
Topic Review
Tongue Contour Tracking Techniques in Ultrasound Images
Lingual ultrasound imaging is essential in linguistic research and speech recognition. It has been used widely in different applications as visual feedback to enhance language learning for non-native speakers, study speech-related disorders and remediation, articulation research and analysis, swallowing study, tongue 3D modelling, and silent speech interface. Tongue tracking using machine learning-based techniques is superior to traditional techniques, considering the performance and algorithm generalization ability. Meanwhile, traditional techniques are helpful for implementing interactive image segmentation to extract valuable features during training and postprocessing. 
  • 547
  • 08 Dec 2022
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