כנס לכבוד יום הולדת 80 של פרופ' ויגננסקי

03 ביוני 2015, 9:58 
בניין פורטר  
200-400
כנס לכבוד יום הולדת 80 של פרופ' ויגננסקי

On Shear Flows and their Control", a conference honoring Wygy's 80th birthday, will take place during 3-4 June, 2015, at TAU campus, organized by a team headed by Prof. Avraham (Avi) Seifert, Head, Meadow Aerodynamics laboratory, Head, School of Mechanical Engineering.

Co-organizers and Sponsors:
Prof. Jesse Little, Uni. of Az , Prof. Jacob Cohen, Dean of Aerospace Eng. Technion, Prof. David Greenblatt, Mech. Eng. faculty, Technion

25.5.15

25 במאי 2015, 15:00 
146 Labs  
25.5.15

 

You are invited to attend a lecture

By

 

Eliezer Halpern

(Ph.D. student under the supervision of Prof. Yossi Rosenwaks)

School of Electrical Engineering, Tel-Aviv University, Tel-Aviv 69978, Israel

 

 

Nanoscale-Electronic Characterization of InAs

 

Semiconductor nanowires (NWs) are one of the most promising building blocks for miniaturization, as well as a wealth of opportunities for pursuing nanoscale science, in particular mesoscopic physics, as well as a vast number of technological applications. Understanding their surface properties is crucial in developing both new electronic devices, as well as providing insight for future fundamental research. In this work we have studied InAs NWs, and investigated two main phenomena - surface states and quantum confinement. The former has a large effect on the performance of both electronic and optoelectronic devices. At present, determination of the surface state density is achieved via measurements of the capacitance and/or drain current, in a nanowire field-effect transistor, and fitting it to simulation. These methods rely on certain assumptions, which strongly affect the extracted density of states. In this work, we demonstrate direct measurement of the surface state density and energy distribution in individual nanowires, in the range of 1012-1013 cm-2eV-1. The measurement was done using Kelvin Probe Force Microscopy (KPFM), which is a highly sensitive method for detecting nm-scale work function variations. In the second part of the work, we have shown energy sub-bands formed due to quantum confinement; this observation was carried at room temperature, again using the KPFM. The extracted density of states and quantum confinement in nanowires is of importance in understanding the electronic overall performance of InAs nanowires in part, and of all semiconducting nanowires as a whole.

 

 

 

 

 

 

Monday, May 25, 2015, at 15:00

Room 146, Electronic Labs building

 

 

טקס הענקת תארים בוגרי ומוסמכי הפקולטה

לבוגרי ומוסמכי בהנדסת חשמל ואלקטרוניקה והנדסת מחשבים.

03 ביוני 2015, 19:30 
אולם סמולארש  

טקס הענקת מלגות הצטיינות לתלמידי הפקולטה להנדסה

07 ביוני 2015, 16:00 
בניין וולפסון להנדסה מכנית חדר 206  

טקס הענקת תארים בוגרי ומוסמכי הפקולטה

לבוגרי ומוסמכי הנדסה מכנית , הנדסת תעשייה וניהול, והנדסה ביורפואית, המחלקה להנדסת חומרים והנדסת סביבה.

02 ביוני 2015, 19:30 
אולם סמולארש  

סמינר מחלקתי

26 במאי 2015, 14:00 
חדר 206 בניין וולפסון  
סמינר מחלקתי

Information Spread in the 21st Century

Alon Sela – PhD student

Abstract

The following work presents a theoretical framework to describe the dynamics of information spread in the 21st century, followed by applicable methods.

The work starts by comparing the spread of messages by ‘word-of-mouth’ (WOM) vs. the spread through websites and search engines (WEB). It relays on observations that search engines grade webpages by PageRank-related algorithms, an approach that seems to be biased towards spreading messages that are globally popular vs. less popular ones. At the other hand, ‘word-of-mouth’ spread is less biased by global popularity trends, since each member is mainly exposed to its local social circle. As a consequence of these claims, it is reasonable to assume that i) the initial spread of new and less popular messages through WOM schemes are faster than such spread by WEB schemes; and  ii) that the contents’ diversity of messages is lower when solely relying on WEB spreading schemes.

Simulations of the two spreading models as well as empirical studies with human subjects support these two claims, and reveal that messages’ spreading by WOM is faster and enables a higher contents’ diversity.

Following these results, the work continues and presents two applicable tools: i) the "Scheduling Seeding" algorithm; a novel approach to message spread which is improve the spread by approximately 25%, and (ii) a method that successfully predicted hot trends, with 21/23 correct predictions, by searching "Viral Footprints" in time series of terms searched in Google.

 

This work was performed under the supervision of Irad Ben-Gal.

ההרצאה תתקיים ביום שלישי 26.5.15, בשעה 14:00, בחדר 206, בנין וולפסון הנדסה, הפקולטה להנדסה, אוניברסיטת תל-אביב.

 

EE Seminar: On Disaster Recovery in OFDMA Environment

~~
Speaker: Eyal Radiano
M.Sc. student under the supervision of Dr. Ofer Amrani

Wednesday, June 17th, 2015  at  15:30
Room 011, Kitot Bldg., Faculty of Engineering

On Disaster Recovery in OFDMA Environment
Abstract

In this talk we describe a communication approach referred to as Random Orthogonal Frequency Division Multiple Access (R-OFDMA). This approach addresses directly issues of receiver complexity, collision handling, protocol overheads and scalability.
Among the applications of this method reside such that require strategic survivability of the network (emergency services, public safety, and more).
This approach addresses common problems of protocol based communication techniques, such as resource allocation management, collision detection and retransmission. These problems burden a lot of overhead on the system utilization and throughput, especially in situations of increased collisions and retransmissions when the network tries to recover.
In the wireless domain, a key objective of R-OFDMA is to segment between steady state and disaster; it does not aim for steady state daily situations where the currently proposed 4G solution is good enough.
R-OFDMA assumes vast number of end users trying to communicate with data bursts simultaneously, but only prioritized active users that are responsible for recovery of the network will be active simultaneously.
An important ingredient of R-OFDMA is based on spectrum sensing, where errors on its part may cause false alarms and miss identification events, which can potentially degrade the quality-of-service experienced by active users.
In this work, we describe the high level mechanism of ROFDMA, accompanied by problem formulation and we develop an analytical model in order to reflect different event classes caused by spectrum sensing.

 

17 ביוני 2015, 15:30 
חדר 011, בניין כיתות-חשמל  

EE Seminar: On the Renyi divergence, the Joint Range of Relative Entropies, and a Channel Coding Theorem

~~(The talk will be given in English)

Prof. Igal Sason
Technion
Monday, June 1st, 2015
15:00 - 16:00
Room 011, Kitot Bldg., Faculty of Engineering
On the Renyi divergence, the Joint Range of Relative Entropies, and a Channel Coding Theorem

Abstract
I'll talk about the Renyi divergence, and its use in the context of determining the joint range of relative entropies and for a derivation of a channel coding theorem.

01 ביוני 2015, 15:00 
חדר 011, בניין כיתות-חשמל  

סמינר מחלקתי

02 ביוני 2015, 13:00 
חדר 206 בניין וולפסון  
סמינר מחלקתי

Clustering users by mobility behavioral patterns

Shahar Weinstock – M.Sc. student

 

Abstract:

In the last years, individuals’ location is being continuously captured from mobile devices. Such a location data is an important foundation for the learning of individuals’ location behavior, which can serve as indication for their lifestyle as well as other behavioral features. The most common way to represent a person's location pattern is by a sequence (trajectory) of locations that the person visits in given time frames.

In this work we focused on the task of clustering mobile phone users based on their semantic location distribution. When using semantic locations instead of geographical points, clusters of users can represent, for example, similar behavior of users regardless to their actual location. Therefore, we can identify people with the same lifestyle even when they live in different cities. Most works in this field of research use sequence alignment methods (such as Hamming distance and Longest Common Subsequence) on a deterministic framework (which indicates a simple trajectory of the user), although users might follow more complicated behavioral patterns.

The research objective is to cluster users based on a probabilistic profiling that will represent complex mobility behavior. One way to do so is to profile the individual's behavior by a Markovian model. With this model we are able to capture the relationship between different time intervals in the user’s trajectory. When using a probabilistic profiling, the distance between two users is evaluated as a distance between two distributions. We used measures from the field of information theory, such as the Jensen-Shannon divergence, applied various clustering methods (K-medoids, Hierarchical clustering, Spectral clustering) and used several validation indices in order to find the most suitable clustering to various applications. The used data is real and based on unique dataset.

 

This work was performed under the supervision of Prof. Irad Ben Gal

 

ההרצאה תתקיים ביום שלישי 02/06/15, בשעה 13:00 בחדר 206, בנין וולפסון הנדסה, הפקולטה להנדסה, אוניברסיטת תל-אביב

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