Slide show

Emotion Recognition and its Aesthetic Interpretation 

It is well known that facial expressions are the most powerful tools for communicating human emotions. Describing and measuring emotions has always been quite a challenge in many aspects of evolution of arts and technology development.

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Education
Abstract

 

Detectors and Electronics in Scientific Discoveries

 

Veljko Radeka

Brookhaven National Laboratory, Upton, NY

 Lecture at IRB, Zagreb, May 31, 2010

 

ABSTRACT

Many scientific experiments today rely on detectors of photons, charged and neutral particles, and on microelectronics for detection and measurement of various phenomena to be observed and for data acquisition. While the field of scientific instruments is vast, I will illustrate the impact of detector and electronics technology on scientific research by several examples from diverse areas of science, none of which would have been possible without advances in detectors and electronics:

  • X-ray fluorescence analysis with synchrotron radiation
  • Thermal neutron detectors for molecular and crystal structure studies by neutron scattering
  • Positron Emission Tomography (PET) for studies of brain physiology
  • Detection of Solar neutrinos → Discovery of “Neutrino Deficit”→Neutrino Oscillations
  • Giant detectors for Neutrino Oscillations and Nucleon Decay Studies
  • Large telescope for Dark Matter/Dark Energy Studies

 

One of these examples (detection of solar neutrinos) led to a Nobel Prize for a Brookhaven researcher.  This relatively simple experiment, which took ~25 years to complete, opened up a new research field for several decades to come – studies of neutrino properties. This research field requires truly giant detectors based on low noise electronics on large scale (hundreds of thousands of detector segments and signal channels). The first three examples are of great practical significance. The last two, yet to be realized, are to advance basic understanding of the elementary particle physics, and are of importance for cosmology and understanding of the universe. The first five examples are based on detection of ionizing radiation (photons) and detection of neutral particles (neutrons and neutrinos). The sixth example (the telescope) is based on detection of photons in the visible and near-infrared range. A common thread in the concepts presented here is interdependence and close coupling among the experiment principles, detector design and microelectronics design.

The examples presented are among the experiments where Instrumentation Division at BNL has been involved as a key contributor.

 
Papers

A True Random Numbers Service and its Applications

Abstract - We shall give an overview of random number generators in scientific use today, concentrating on the ”truly random” ones. Quantum Random Bits Generator Service shall serve as an example of these, being readily available – online and free, with known qualities of served content. Sensitivity analysis of a typical stochastic scientific applications (dominantly Monte Carlo integration methods) to a choice of random numbers generator is laid out, with results showing optimal choice of

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CenVis project national training event
Soon:

Complex data structure visualization

Training event basic goal:

Workshop

Scientific Visualization has evolved as a separate scientific area in the last few years and deals with the visual representation of abstract data (i.e. data bases). Often the data is missing inherent local attribution. Also quite often data in higher dimensions (compared to volume and flow visualization) has to be displayed. The main goal of this workshop is the presentation methodology of  the effective 2D or 3D-display of high dimensional data, as well as the possibility of useful interaction to influence the visualization or to work with the data itself. Scope the Virtual reality and visualization represent key technologies for the development of information processing. They enable not only the fast, meaningful and concise processing of data in a time of growing amounts of data, but also the realistic display of and the interaction with past, current and future objects and surroundings. The scientific visualization data mining tools will be introduced by which the scientist and engineer should evolve to meet the growing demands presented by large simulation data sets.

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