The issue on chance discovery (volume 11, issue 5) is guest edited by Akinori Abe and Yukio Ohsawa. Since 2000, invited sessions on chance discovery have been organized in KES conferences (www.kesinternational.org). In this issue, nine papers which are extended version of sessions' paper and newly submitted are selected.
A full list of contents can be read further on, but as a whole, the keywords for this issue are ‘interaction’, ‘visualization’ and ‘abduction’ that are contributive to the basic methodologies of chance discovery. And, for application, the management and discovery of risks, in which stock price movements are to be included, are appeared as core issues.
The real lives of humans are complex and the future is not predictable. In order to have better –or the best- benefits, it is necessary to predict the future trends. In the usual case, data mining techniques provide us with satisfactory enough results for doing good business. However, there are exceptional events where simple data mining techniques and statistical analysis don’t suffice.
If the risk can’t be predicted, the result may be serious. There are implicit (not noticed due to the rarity or the novelty) events which can be signs for fatal, or sometimes for an extremely beneficial, scenario. Because these signs are novel, and hard to be related to the result, it has been difficult to catch them for making a suitable decision at a suitable time. It is important to determine implicit symptoms to risks or benefits (opportunities). Accordingly, Ohsawa proposed chance discovery in 2000.
Astrid Engelen | alfa
Magnetic Quantum Objects in a "Nano Egg-Box"
25.07.2017 | Universität Wien
3-D scanning with water
24.07.2017 | Association for Computing Machinery
Strong light-matter coupling in these semiconducting tubes may hold the key to electrically pumped lasers
Light-matter quasi-particles can be generated electrically in semiconducting carbon nanotubes. Material scientists and physicists from Heidelberg University...
Fraunhofer IPA has developed a proximity sensor made from silicone and carbon nanotubes (CNT) which detects objects and determines their position. The materials and printing process used mean that the sensor is extremely flexible, economical and can be used for large surfaces. Industry and research partners can use and further develop this innovation straight away.
At first glance, the proximity sensor appears to be nothing special: a thin, elastic layer of silicone onto which black square surfaces are printed, but these...
3-D shape acquisition using water displacement as the shape sensor for the reconstruction of complex objects
A global team of computer scientists and engineers have developed an innovative technique that more completely reconstructs challenging 3D objects. An ancient...
Physicists have developed a new technique that uses electrical voltages to control the electron spin on a chip. The newly-developed method provides protection from spin decay, meaning that the contained information can be maintained and transmitted over comparatively large distances, as has been demonstrated by a team from the University of Basel’s Department of Physics and the Swiss Nanoscience Institute. The results have been published in Physical Review X.
For several years, researchers have been trying to use the spin of an electron to store and transmit information. The spin of each electron is always coupled...
What is the mass of a proton? Scientists from Germany and Japan successfully did an important step towards the most exact knowledge of this fundamental constant. By means of precision measurements on a single proton, they could improve the precision by a factor of three and also correct the existing value.
To determine the mass of a single proton still more accurate – a group of physicists led by Klaus Blaum and Sven Sturm of the Max Planck Institute for Nuclear...
26.07.2017 | Event News
21.07.2017 | Event News
19.07.2017 | Event News
26.07.2017 | Physics and Astronomy
26.07.2017 | Life Sciences
26.07.2017 | Earth Sciences