19/7/15

Mr. Run Levinger

 M.Sc. student of Dr. Eran Socher and Dr. Oded Katz

Electrical Engineering, Physical Electronics Department

 Multi-Hyperbolic Tangents Highly Linear SiGe Integrated Circuits for E-band Transmitters

  Sunday, July 19 2015, at 10:00

Room 011, Kitot building

 

19 ביולי 2015, 10:00 
011 Kitot  
19/7/15

 

סמינר מחלקתי Eyal Teomi

23 בנובמבר 2015, 15:00 
וולפסון 206  
0
סמינר מחלקתי Eyal Teomi

 

 

 

 

 

School of Mechanical Engineering Seminar
Monday, October 19, 2015 at 15:00
Wolfson Building of Mechanical Engineering, Room 206

 

 

Jamming by Shape

 

Eial Teomy

School of Mechanical Engineering, Tel Aviv University

PhD Student of Dr. Yair Shokef

 

In colloidal and granular systems, energy and temperature do not play a major role. The dynamics of such systems are dominated by the geometrical packing fraction of their constituents and may be described by various kinetically-constrained models. We focus on the Kob-Andersen model, which is defined as a lattice gas with only on-site exclusion, for which particles can move to neighboring sites only if they have less than a certain number of occupied neighbors. Most previous research considered infinite systems, while actual experimental systems are finite. We consider finite-size and semi-infinite system in any dimension, which are infinite in several directions, but finite in the other directions.

 

By increasing the density of particles in the system, it becomes jammed, i.e. almost all the particles can never move according to the kinetic constraints. It has been proven that a system which is infinite in all directions, gets jammed only at a density of 1, when all lattice sites are occupied by particles. We find, analytically and numerically, that non-infinite systems become jammed at some finite, size- and shape-dependent density which nears 1 as the size of the system is increased.

 

Because the jamming density depends on the shape of the system, it is possible to jam or unjam the system just by changing its shape, without altering its total volume or particle density. In the protocol we give here, the jamming transition does not occur by exerting forces on the system, but by performing ensemble averages over systems with fixed shape and density.

 

סמינר מחלקתי Dr. Joseph Bloom

04 בנובמבר 2015, 15:00 
וולפסון 206  
0
סמינר מחלקתי Dr. Joseph Bloom

School of Mechanical Engineering Seminar
Wednesday, November 4, 2015 at 15:00
Wolfson Building of Mechanical Engineering, Room 206

 

The Eagle Has Landed

Joseph M. Bloom, Ph.D Harvard University

 

The presentation is about the first application of fracture mechanics in the design and fitness-for-service of a U.S.. Air Force fighter aircraft.  The F-15 fighter was developed in the late 1960’s and named in the early 1970’s, the “Eagle.”  The speaker was a significant part of a team of engineers that developed the F-15 Fracture Control Plan.

 

Nondestructive test (NDT) techniques were thought to be able to find flaws smaller than those which could grow to failure during the life of the aircraft.  All combat aircraft before that time were designed based on “S-N” data.  Finding flaws or defects in production parts would prevent failure of the part, or at the very least unnecessary repair. The application of fracture mechanics would point out weaknesses in the quality assurance of the new aircraft.  The speaker will present the step-by-step approaches used on the F-15 Eagle. Also, he will discuss how “state-of-the-art” fracture mechanics (1970) prediction of spectrum crack growth from constant amplitude crack growth data was used.  The concept of retardation (due to the application of peak loads) which slows crack growth will be discussed.  Now recognized and used in the aviation industry, the concept of retardation was a major break -thru at that time.

 

Complete algorithms were developed from scratch and then validated through limited “expensive” testing.  Eventually, this work led to the establishment of NDT requirements for the finished parts.  The fracture control plan was used as a general guideline for the final aircraft inspection requirement. Dr. Bloom left the project just after the prototype was flown in late 1972. The production model (F-15A) was completed in March 1973. In 1976 Israel bought the F-15.  Now Israel  flies  the F-15I.  The  Eagle  has now landed!    It is now the most important defense weapon in Israel’s arsenal.

 

סמינר מחלקתי Avner Ronen

07 בספטמבר 2015, 15:00 
וולפסון 206  
0
סמינר מחלקתי Avner Ronen

הטקס השנתי של חלוקת פרסי מכון ויינשטין למחקר עיבוד אותות

13 יולי 2015

הטקס השנתי של חלוקת פרסי מכון ויינשטין למחקר עיבוד אותות (https://www.eng.tau.ac.il/research/laboratories/Weinstein/ ) התקיים ביום חמישי, 2 ביולי 2015.

המכון פועל במסגרת בית הספר להנדסת חשמל. הוא הוקם ע"י פרופ' אהוד ויינשטין בשנת 2001 לזכר הוריו, יצחק וחיה. המכון תומך בפעילות מחקר בעיבוד אותות ומעניק פרסי הצטיינות לסטודנטים שחוקרים בתחום.

Alina Karabchevsky 16.7.15

 

 

Alina Karabchevsky

Optoelectronics Research Centre, University of Southampton, Southampton, SO17 1BJ, UK

Thursday, July 16 2015, at 11:00

Room 011, Kitot building

Molecules, glass and light

16 ביולי 2015, 11:00 
Kitot 011  
Alina Karabchevsky  16.7.15

 

You are invited to attend a lecture

By:

 

 

Alina Karabchevsky

 

 

Optoelectronics Research Centre, University of Southampton, Southampton, SO17 1BJ, UK

Email: A.Karabchevsky@soton.ac.uk

 

Molecules, glass and light

 

In this seminar, I will introduce the fundamentals of guided optics. A brief overview will be given over design, fabrication and characterization of integrated optical components and microfluidic channels. I will focus on the conceptual importance of the integrated optics and surface modification for chemo- and bio-applications. The potential of disorder-enhanced photonics in vibrational spectroscopy on waveguides will be discussed and new directions will be proposed.

Vibrational spectroscopy relies on absorption of electromagnetic radiation by molecular vibrations.

It is a powerful tool for drawing information on molecular structure and dynamics.

In the first part of the talk I will present an intriguing physical effect of disorder-enhanced absorption of light by molecular overtones of amines in a: 1) silicate channel waveguide and 2) microtapered fiber with adsorbed gold nanoparticles. Due to the guides’ surface modification, aromatic rings tend to stack together, and N-H bonds in amines form hydrogen bonds with each other. This 8 nm thick multilayer structure of lamellar liquid crystal shape leads to the switch from ballistic to diffusive propagation of light which results in the enhanced absorption. I will also address a dynamics of absorption as a function of time of adsorption of the organic molecules on waveguide. These phenomena are expected to find application in organic solution based optical sensors for detection of explosive materials and diagnostics of psychoactive stimulants based on amines.

In the second part of the talk, I will present a theoretical study of composite plasmonic waveguide structures for design of integrated optical components and Purcell enhanced chemiluminescence in a microfluidic channel.

 

 

 

Thursday, July 16 2015, at 11:00

Room 011, Kitot building

 

EE Seminar: Visual Nearest Neighbor Search

~~Speaker: Simon Korman
PhD student under the supervision of Prof. Shai Avidan

Monday, July 13th, 2015  at  15:00
Room 011, Kitot Bldg., Faculty of Engineering

Visual Nearest Neighbor Search

Abstract

Many mid-level tasks in computer vision can be formulated as a search for a best configuration in some large search space, whether continuous or discrete. The complexity of a full search typically depends on the size of the image(s) considered as well as on the degrees of freedom of a model that the configurations represent.  This often leads to prohibitive complexity and therefore many heuristics and approximation schemes have been proposed for such problems.
 
The talk will present several different such problems and review some approximation algorithms that we suggested in our work. One such problem is that of computing a dense mapping between the patches of a pair of images. We develop a hashing based scheme that significantly improves over the accuracy-efficiency tradeoffs of existing methods, for both RGB and RGBD images.

Our work also deals with problems in the domain of matching images or 3D shapes, under rigid geometric transformations (e.g. Euclidean, affine or perspective).  We propose here an efficient method for enumerating the entire search space, in a way that provides global bounds on the approximation level of the obtained model.
Within this framework, the talk will focus on the problem of matching between images, given putative pairs of matching interest points. In this setting, one must take into account the presence of outliers in the input data and this is typically done by the RANSAC robust estimation framework. We suggest here an alternative method, which is able to estimate the rate of inliers in the data, without actually identifying them, followed by a globally optimal search, with respect to the specific inlier rate. We show that the combined framework works on challenging cases of 2D-homography estimation, with very few (and possibly noisy) inliers, where RANSAC generally fails.

13 ביולי 2015, 15:00 
חדר 011, בניין כיתות-חשמל  

16.7.15

Mr. Shay Elmalem

 M.Sc. student of Prof. Emanuel Marom

Electrical Engineering, Physical Electronics Department

 Athermalized Infrared Imaging as well as Visible Light Imaging  with Extended Depth of Field using Composite Phase Masks

Thursday, July 16 2015, at 15:00

Room 011, Kitot building

16 ביולי 2015, 15:00 
011 Kitot  
16.7.15

You are invited to attend a lecture

By:

 

 

Mr. Shay Elmalem

 

M.Sc. student of Prof. Emanuel Marom

Electrical Engineering, Physical Electronics Department

 

Athermalized Infrared Imaging as well as Visible Light Imaging  with Extended Depth of Field using Composite Phase Masks

 

Infra-Red (IR) imaging became quite popular in recent years. Until the beginning of the 21st century, only expensive IR imaging systems were common, mainly for military applications. In the last decade, IR imaging systems became very wide spread for industrial and civilian applications. Due to such growing market, the need to develop techniques for producing inexpensive IR imaging systems became much more prominent.

One of the most popular materials for IR lenses is Germanium (Ge), due to many attributes. However, Ge has a very unique drawback, due to the sensitivity of its refractive index with the temperature (which is 100 times higher than that of glass). This change in refractive index due to temperature results in a temperature-dependent focal length. Many approaches have been developed to solve the thermal focal shift (TFS), known as 'IR Lens Athermalization', so that the use of Ge as an optical material would be viable. All of the known approaches solve the TFS by complex optical design or by using post-processing algorithms. We present a way to treat the TFS as a Depth of Field (DOF) problem, and as such to solve it by using an all-optical DOF phase mask. The DOF mask is made of composite structure, designed to provide improved imaging performance for broad wavelength band along with wide temperature range. Some of the solutions developed can fit also for imaging system working in the visible band of the spectrum which require extended depth of field (with regards to broad wavelengths band only, since thermal effects practically don’t exist in this band).  Simulation results will be presented and discussed.

 

 

Thursday, July 16 2015, at 15:00

Room 011, Kitot building

 

EE Seminar: Joint Processing Of Multiple Radar Systems For Performance Enhancment

~~Speaker: Yossi Steinmetz, 
M.Sc. student under the supervision of Prof. Anthony Weiss

Monday, July20th, 2015 at 15:30
Room 011, Kitot Bldg., Faculty of Engineering

Joint Processing Of Multiple Radar Systems For Performance Enhancment

Abstract

Radar systems have been one of the fundamental and important ways for detecting targets. However, their accuracy and resolution are limited by their physical parameters (i.e bandwidth, physical aperture) and cannot be improved dramatically.
In this thesis, we present and develop an approach based on [1] to enhance the system bandwidth and increase the SNR by using sparse subband measurements.

The motivation for this approach is based on an operational system where two radars are mounted on the same ship [1] and each transmits a different frequency (one is S-band and the other in X-band). Joint processing of the received signals improves the performance significantly.
The main problem using 'standard' methods is the creation of side-lobes. Despite the fact that we have more information to exploit due to the wide overall bandwidth, spectral data between the two sub-bands is missing and leads to the creation of side-lobes. The algorithm presented in this thesis is designed to solve this problem.

Moreover, in this thesis we allow the radars to be in spatially separated and not only co-located.  The algorithm presented in this thesis is able to compensate for the lack of coherence caused by the distance between the radars.
The algorithm presented in this thesis has been checked in simulations in different scenarios and has superior performance when compared with existing solutions.
The algorithm was further tested on recordings of an operational radar system. The results demonstrate the usefulness of the proposed approach.

20 ביולי 2015, 15:30 
חדר 011, בניין כיתות-חשמל  

EE Seminar: Brain Tumor Classification of Glioblastomas, Brain Metastasis, Meningioma and CNS Lymphoma

~~Speaker: Nir Dvorecki, 
M.Sc. student under the supervision of Prof. Amir Averbuch and Prof. Shai Avidan

Monday, July 20th, 2015 at 15:00
Room 011, Kitot Bldg., Faculty of Engineering

Brain Tumor Classification of Glioblastomas, Brain Metastasis, Meningioma and CNS Lymphoma

Abstract

The objective of this work is to investigate the use of conventional MRI, DTI and Perfusion imaging in a pattern recognition and machine learning framework for the automatic classification of brain tumors. We propose a complete pipeline consisting of bias correction, normalization, feature extraction, feature selection, and classification. Median intensities are extracted from the enhancing, non-enhancing and edema sections. Feature selection is performed using a leave-one-out cross validation technique. We test our model on a dataset consisting of patients with tumors of types Metastasis, Meningioma, Glioblastoma and CNS Lymphoma. We present a hierarchical classifier and analyze its performance.

20 ביולי 2015, 15:00 
חדר 011, בניין כיתות-חשמל  

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