Saline-tab water (2.5 L) with 0, 2.5, 5, and 10% saline solution contaminated by P. aeroginosa or S. aureus, was electrolyzed with constant electrical current of 2A or 4A for different time durations (1, 2, 4, 8, and 16min). The electrolysis with 2A-4min showed disinfection effect against P. aeroginosa of 105 CFU/㎖ in all saline concentrations. When the electrical current was raised to 4A, P. aeroginosa of 106 CFU/㎖ was disinfected in 4 min. S. aureus of 105 CFU/㎖ was disinfected with 2A-2 min in all saline concentrations. S. aureus of 106 CFU/㎖ was completely disinfected with 2A-8 min. To compare the effect of constant current electrolysis with that of intermittent current electrolysis, solution contaminated with P. aeroginosa of 106 CFU/㎖ was electrolyzed with several pairs of intermittent current of 2A for 2 min followed by 2min pause. Disinfecting effect of intermittent electrolysis was very similar to the constant current electrolysis without pause in 16 min. The present study demonstrated that the direct electrolyzing process with no septum membrane is a convenient and economic sterilization method.

This paper proposes how to improve the performance of CSS-based indoor localization system. CSS based localization utilizes signal flight time between anchors and tag to estimate distance. From the distances, the 3-dimensional position is calculated through trilateration. However the error in distance caused from multi-path effect transfers to the position error especially in indoor environment. This paper handles a problem of reducing error in raw distance information. And, we propose the new localization method by pattern matching instead of the conventional localization method based on trilateration that is affected heavily on multi-path error. The pattern matching method estimates the position by using the fact that the measured data of near positions possesses a high similarity. In order to gain better performance of localization, we use EKF(Extended Kalman Filter) to fuse the result of CSS based localization and robot model.