Streamlined Security: Optimizing Sensor Placement with Mathematics

External News Details
Media
  • Haomin Zhou Haomin Zhou
    (image/png)
  • Sung Ha Kang Sung Ha Kang
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Current security sensor technology is greatly limited, creating a tricky challenge as the demand for public and private security heightens. Sung Ha Kang and Haomin Zhou, professors in the School of Mathematics, and Seong Jun Kim, a postdoctoral researcher, have proposed a new method that will optimally position a sensor-based security system for maxium surveillance. 

Additional Information

Groups

College of Sciences, School of Mathematics

Categories
Computer Science/Information Technology and Security
Keywords
School of Mathematics, College of Sciences, Haomin Zhou, Sung Ha Kang, seong jun kim
Status
  • Created By: mrosten3
  • Workflow Status: Published
  • Created On: Feb 13, 2018 - 4:58pm
  • Last Updated: Feb 14, 2018 - 2:05pm