세미나

Beyond the Hill of Multicores lies the Valley of Accelerators

The power wall has resulted in a sharp turn in processor designs, and they irrevocably went multi-?core. Multi-?cores are good because they promise higher potential throughput (and never mind the actual performance of your applications). This is because the cores can be made simpler and...

Motion and spatial regularization designs in motion-compensated image reconstruction

  Medical imaging has been an effective tool for diagnosing diseases including cancer and coronary artery disease, but there are still challenges such as reducing motion artifacts, minimizing toxic radiation dose, and reducing scanning time. These challenges reduce the SNR of the measurements. Model-based image reconstruction...

Cyber Physical Systems : A New Science for Convergence

Recently, the convergence of cyber and physical spaces has transformed traditional embedded systems into cyber physical systems (CPS), which are characterized by tight integration and coordination among computation and physical processes by networking. In CPS, various embedded devices with computational components are networked to monitor,...

User Association and Self Organizing Network for (Beyond) 4G Wireless Network

In this talk, we discuss a mechanism for self organizing network (SON) for (beyond) 4G wireless network. We propose a framework for user association in infrastructure-based wireless networks, specifically focused on flow-level cell load balancing under spatially inhomogeneous traffic distributions. Our work encompasses several different...

Studies of magnetism and superconductivity by scanning probe microscopy

Room-temperature scanning probe microscopy (RT-SPM) is widely used to study electronic and magnetic properties at the sub-micron scale in basic and applied science. By analogy with RT-SPM, low-temperature SPM (LT-SPM) is a key tool to investigate phase transitions at low temperature, such as ferromagnetism and...

How to become a successful professional?

After briefly introducing myself and my work, I will try to answer questions raised by professors, postdocs, and graduate students that are all related to becoming successful in their respective role. •This talk is expected to be highly interactive. ...

PORTFOLIO SELECTION USING TIKHONOV FILTERING TO ESTIMATE THE COVARIANCE MATRIX

Markowitz’s Mean-Variance portfolio selection problem (MV problem)chooses weights for stocks in a portfolio based on an estimatedcovariance matrix of stock returns. Our study proposes to reduce noisein the estimation using a Tikhonov filter function. The new methoddecreases the contribution of the smaller eigenvalues of a...

Salient Region Detection and Its Applications

In general, our visual field could be represented by using 10 – 100 MB of information per second. Even if most of neurons are dedicated to such visual processing, it is hard to handle this information in real time. Nevertheless, we can promptly (i.e., computationally...