According to the results of the environmental noise measurement network operated by the Ministry of Environment in 2009, 67% of residential areas exceeded environmental standards during the day, and 82% exceeded during the night. In the case of exclusive residential areas in general districts, 30 cities (67%) exceeded the standards during the day, and 37 cities(82%) exceeded at night. For residential areas along roads, 18 cities(40%) exceeded during the day, and 33 cities(73%) exceeded at night. The Ministry of Environment operates noise and vibration measurement networks for environmental, railway, and aircraft noise, as well as road vibration measurement networks, to assess the noise and vibration status nationwide each year. In this regard, the results of measuring environmental noise in 348 areas across 45 cities nationwide last year showed that many cities in both general exclusive residential areas and residential areas along roads exceeded environmental standards both during the day(67% for general areas, 40% for road areas) and at night(82% for general areas, 73% for road areas). By region, cities such as Hwaseong, Pyeongtaek, Gimpo, and Cheongju showed high noise levels, while Mokpo, Namyangju, Seongnam, and Naju had lower noise levels. The regions with high noise levels were analyzed to reflect phenomena such as population and traffic increases due to regional development. This study aims to expand the noise measurement network in major cities of Jeollabuk-do, where there are relatively few measurement networks, by conducting an environmental noise survey on road traffic noise in Gunsan and Iksan, using it as basic data for establishing noise regulation zones and for the development of environmental noise reduction measures.
This study examined the correlation between power error (PE) and velocity error (VE) according to the condition and frequency of self-controlled feedback (SCF) during knee extension. One hundred participants were randomly assigned to 30% SCF, 70% SCF, 30% yoked feedback (YF), 70% YF and control group, respectively. The SCF group was provided with feedback when they requested it, whereas the YF group did not influence the feedback schedule. Participants in the control group were not given any visual feedback during the experiment. The isotonic, isometric, and isokinetic dynamometer (PRIMUS RS, BTE, USA) was used to measure the power and velocity error during knee extension. The collected data was analyzed using a Pearson test and SPSS 21.0. The correlation between PE and VE according to the condition and frequency of feedback on each phase during knee extension was significant. Both PE and VE were significantly higher when the feedback was provided with high frequency, passive, and no feedback. Our study suggests that application of SCF can help to improve the proprioception of the healthy person while reducing errors through low frequency and active feedback.