Business Cases

• Complex problem guide system applying data mining - development

  This system extracts tacit knowledge in a specific field by data mining and automatically converts it into formal knowledge. The extracted formal knowledge is used to guide beginners in the field through various problems.

  Process mining, Bayesian networks, self-organizing maps, and ontology were used as data mining techniques.

  In this R&D, several algorithms were surveyed in papers and selected and implemented to be effective for the purposes of this system.

  

  Technologies

  • Java Servlet
  • MySQL
  • Cloud
  • Process Mining
  • Bayesian Networks
  • Self-Organizing Map
  • Ontology

• Sound propagation calculation - software development

  For a single sound source, we have developed a program that calculates the difference between the A-weighted sound pressure level of the reference point and the sound receiving point for each frequency. By visualizing the calculation results, it is possible to evaluate diffraction effects and road surface effects in the noise propagation from the road to the areas along the road.

  In graphing the difference in sound pressure levels at different frequencies from the calculation results, we discovered an error in the calculation process of relative complex sound pressure that had been used.

  

  

  Technologies

  • Sound Propagation
  • Complex Claculation
  • Numerical Integration
  • C#

• Computational software for tomographic image reconstruction using GPGPU - development

  Tomography, derived from the Greek word "tomos" meaning "to cut," is a technique for observing cross sections of a sample to evaluate its interior. CT, in CT scans performed in hospitals, is an abbreviation for Computerized Tomography, an examination technique that uses X-rays to capture cross-sectional images of the body. The cross-sectional image obtained in this way is called a tomographic image.

  To reconstruct a tomographic image, it is necessary to calculate the scattering of a quantum beam penetrating a sample. In this case, we have streamlined and implemented the algorithm used for this calculation, and developed calculation software to generate the parameter space required for reconstruction.

  The implemented algorithm uses a computer GPU to perform parallel computation of sparse matrices at high speed. As a result, high-resolution processing that was previously impossible due to memory limitations can now be computed in about one minute.

  

  Technologies

  • Tomography (ART)
  • GPGPU
  • Sparse Matrix
  • OpenGL

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