Speaker: Shani Gat

M.Sc. student under the supervision of Prof. Hagit Messer-Yaron

Sunday, April 23^rd, 2017 at 15:30

Room 011, Kitot Bldg., Faculty of Engineering

Robust Estimation and Mapping of Rainfall from Microwave Measurements

Estimation of a tempo-spatial field for purposes of environmental monitoring is often based on a network of local sensors, which are prone to measurement errors. As sensor networks become larger and cheaper, the probability of faulty sensors and measurements outliers rises. Moreover, the recently proposed approach of opportunistic sensors network, as in the case where commercial microwave links (CMLs) are used as rainfall sensors, also introduces a new source of errors. In this work, I refer to different approaches and methods for spatial interpolation from point measurements, with an emphasis on the problem of estimating data from microwave links, and suggested an iterative estimator based on Maximum Likelihood (ML) approach to the problem. I propose to increase the robustness of this approach based on the Huber’s M-Estimation method, and suggested a robust variation to the proposed algorithm accordingly: an algorithm based on the Huber loss function, and another censoring algorithm. The algorithms’ robustness was initially tested numerically. This test has shown that each robust variation had an advantage in different situations. The suggested algorithms were tested for several simulated scenarios, where a robust version showed a considerable advantage in the presence of outliers, versus the ML version and the AIDW reference algorithms. Finally, the algorithms were applied for actual CMLs’ real data, provided by Ericsson for the Gothenburg area. The results of the robust algorithms were not significantly different from the non-robust, suggesting that outliers may not be a major source of errors in this case.

סיור במרכז המבקרים של קו הרכבת המהירה לירושלים 

 בואו לבקר בפרויקט התשתיות הגדול בישראל
הקו המהיר של הרכבת ירושלים- תל אביב

 הסיור יתקיים ביום שלישי 25.04.17

מספר המקומות מוגבל

ההשתתפות בתשלום סמלי 

 יש להירשם ולשלם מראש על מנת להבטיח מקומך 

 לתשלום בסך 25 ש"ח הקליקו כאן

מדריך הישרדות לחיים שאחרי האקזיט 
ד"ר גיל ברוש 
בוגר הפקולטה, מגמה להנדסת תעשייה

בואו לשמוע מה קורה לסטארט-אפ לאורך השנים שלאחר הרכישה?
האם החלום מתגשם?
האם במבט לאחור אפשר היה לעשות זאת טוב יותר?

לפרטים והרשמה לחץ כאן
התמונה לקוחה מדה מרקר  09.03.12

Prof. Dr. Jennifer L.M. Rupp, Electrochemical Materials Laboratory

Thomas Lord Assistant Professor of Materials Science and Engineering

Massachusetts Institute of Technology, MIT

Alternative Oxide Architectures for Ionic Memories and Neuromorphic Computing: Designing Defects and Carrier Motion

The next generation of information memories and neuromorphic computer logics in electronics rely largely on solving fundamental questions of mass and charge transport of oxygen ionic defects in materials and their structures. Here, understanding the defect kinetics in the solid state material building blocks and their interfaces with respect to lattice, charge carrier types and interfacial strains are the prerequisite to design new material properties beyond classic doping. Through this presentation basic theory1 and model experiments for solid state oxides their impedances and memristance2, electro-chemo-mechanics and lattice strain3-5 modulations is being discussed as a new route for tuning material and properties in ionic conducting oxide film structures up to new device prototypes based on resistive switching. Central are the making of new oxide film materials components, and manipulation of the charge carrier transfer and defect chemistry (based on ionic, electronic and protonic carriers)1-2, 5-6, which alter directly the resistive switching property and future computing performances. A careful study on the influence of microstructure and defect states vs. the materials` diffusion characteristics is in focus. For this, we suggest novel oxide heterostructure building blocks and show in-situ spectroscopic and microscopic techniques coupled with electrochemical micro-measurements to probe near order structural bond strength changes relative to ionic and electronic diffusion kinetics and the materials integration to new optimized device architectures and computing operation schemes.

1)Memristor Kinetics and Diffusion Characteristics for Mixed Anionic-Electronic SrTiO3-δ: The Memristor-based Cottrell Analysis Connecting Material to Device Performance

F Messerschmitt, M Kubicek, S Schweiger, JLM Rupp

Advanced Functional Materials, 24, 47, 7448 (2014)

2)Uncovering Two Competing Switching Mechanisms for Epitaxial and Ultra-Thin Strontium Titanate-based Resistive Switching Bits

M Kubicek, R Schmitt, F Messerschmitt, JLM Rupp

ACS Nano 9, 11, 10737 (2015)

3)Designing Strained Ionic Heterostructures for Resistive Swicthing Devices

S Schweiger, R Pfenninger, W Bowman, U Aschauer, JLM Rupp

Advanced Materials, in press (2016)

4) The Effect of Mechanical Twisting on Oxygen Ionic Transport in Solid State Energy Conversion Membranes

Y Shi, AH Bork, S Schweiger, JLM Rupp

Nature Materials, 14, 721  (2015)

5) A Micro-Dot Multilayer Oxide Device: Let’s Tune the Strain-Ionic Transport Interaction

S. Schweiger, M. Kubicek, F. Messerschmitt, C. Murer, J.L.M. Rupp

ACS Nano, 8, 5, 5032 (2014)

6) How does Moisture affect the Physical propert of Memristance for Anionic-Electronic Resistive Switching Memories?

F Messerschmitt, M Kubicek, JLM Rupp

Advanced Functional Materials, 25, 32, 5117 (2015)