סמינר מחלקתי Roni Amit and Liad Marom

01 ביולי 2015, 15:00 
 
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סמינר מחלקתי Roni Amit and Liad Marom

 

 

 

 

 

School of Mechanical Engineering Seminar
Wednesday, July 1, 2015 at 15:00
Wolfson Building of Mechanical Engineering, Room 206

 

 

Steady Streaming Created by a Piezoelectric

Cantilever for Particle Manipulation

 

Roni Amit

MSc Student of Dr. Gábor Kósa  

 

With the growing use of ”Lab on a chip” devices the interest in problems of arranging, sorting and trapping micro scale particles has increasingly grown.

In our work, we used steady streaming effect, achieved by an oscillating piezoelectric cantilever in a viscous fluid to create a hydrodynamic particle manipulator.

We started by examining a previous work by Ori Ehrenberg – an actuated micropump based on the motion of a propagating wave.

We operated the pump on a highly viscous fluid and achieved no outflow. Trying to understand the findings, we decided to investigate the flow field created inside the pump.

We understood that the flow created by the beam is a steady streaming, and that we can utilize it to design a particle manipulation system.

In this study we characterize the steady streaming flow field created around an oscillating cantilever (200 Hz, creating the shape of the first mode). Using numerical analysis we simulated the streamlines and characterized the velocity field.  The analysis validation was done using particle image velocimety experiments. We proved the concept of our particle manipulation system by controlling a particle path in the XY plane.

 

 

 

 

 

School of Mechanical Engineering Seminar
Wednesday, July 1, 2015 at 15:00
Wolfson Building of Mechanical Engineering, Room 206

 

 

Interaction of Suction and Pulsed Blowing with a Laminar Boundary Layer

 

Liad Marom

MSc Student of Prof. Avi Seifert

 

The work presents a fundamental study of active flow control (AFC) using steady suction and oscillatory blowing actuator (SaOB, figure 1), identifying its effect on a laminar boundary layer. Recent experiments showed this effective and efficient actuator as a drag reduction device. However, improved fundamental understanding of the boundary layer interaction with suction and oscillatory blowing and the combination of these two effects in close proximity is lacking. This experimental work, performed in a laminar flow alongside a turbulent BL interaction and CFD studies will result in improving the efficiency of the actuator and will develop a reliable predictive capability of this flow control method.

    The interaction with a laminar BL is crucial for the project due to the lack of interaction with the random turbulence, the thicker BL and lower skin-friction that enables greater effect of the controlled BL. Furthermore, fundamental interaction principles could be easier to identify and understand in laminar flows, where critical trends will not be masked by turbulence, and the averaging process will better represent time dependent flow.

The results demonstrate that while the oscillatory blowing is robust and has a strong effect on the flow evolution, the steady suction introduced upstream has a crucial role in the efficient operation of the AFC system.

 

Figure 1: A schematic view of the SaOB (Suction and Oscillatory Blowing) actuator operation

 

EE Seminar: Similarity Detection via Random Subsets in Big-Data using Hadoop Framework

~~
Dafna Ackerman, 
M.Sc. student under the supervision of Prof. Amir Averbuch and Prof. Shai Avidan

Monday, July 6th, 2015 at 15:30
Room 011, Kitot Bldg., Faculty of Engineering

Similarity Detection via Random Subsets in Big-Data using Hadoop Framework
Abstract
The increasing volume of internet traffic to be analyzed imposes new challenges to anomaly detection systems. These systems should efficiently analyze a huge amount of data to discover anomaly fragments within a reasonable response time.
In this work, we propose a method for anomaly detection, such as intrusion attacks, based on a parallel similarity detection algorithm that uses the MapReduce methodology implemented on Hadoop platform. The proposed system processes large amount of data on a commodity hardware. The experimental results on the 2009 DARPA dataset demonstrate that the proposed system scales very well when data sizes increase.

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

EE Seminar: Diversified Decoding in HDPC Message Passing Algorithms

~~Nimrod Shacham, 
M.Sc. student under the supervision of Dr. Ofer Amrani

Wednesday, June 17, 2015 at 15:00
Room 011, Kitot Bldg., Faculty of Engineering

Diversified Decoding in HDPC Message Passing Algorithms

Abstract

For decades, Error Correcting Codes have been a fundamental building block of any communications system. The subject of ensuring good communication rate over unreliable channels is of critical importance and is becoming even more so for modern codes which push performance towards the theoretical limits of the communication channel. Low Density Parity Check Codes are one such family of codes. Despite the fact that they are lacking sound mathematical analysis, they have had tremendous success through the multitude of variations on the basic decoding algorithms and constructions. This thesis is concerned with employing the ideas behind iterative decoding of LDPC for other families of codes, particularly short codes with high density matrices (HDPC). There is a need for reliable graph-based iterative decoding of short codes; for instance this is beneficial in the framework of a newly introduced random version of OFDMA (R-OFDMA).
We first investigate how the structure of the parity check matrix can alter an iterative decoder's performance. Specifically we focus on the allowable redundancies in the matrices, where it is possible to benefit from inserting redundant parity checks without altering the code properties. We then investigate how altering the input LLRs to the decoder can affect the decoder's results and performance. By allowing multiple decoding passes, each with a slightly altered input matrix, one can positively affect error performance, keep the decoding latency unaltered and only increase the decoding complexity. Several algorithms for achieving this are offered and studied. We employ computation tree analysis and density evolution which support the simulation results.

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

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