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전형준 ( Chun Hyung-joon ),백광섭 ( Back Gwang-sub ) 한국구조물진단유지관리공학회 2018 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.22 No.2
This paper presents statistics that evaluate the results of a precision safety inspection and precision safety diagnosis over the past five years. The impact and degree of poor inspection and diagnosis were analyzed by dividing contract amount by rate, implementer, and managing body. The purpose of the analysis is to elicit problems and measures in the system.
고속철도와 일반철도소음의 성가심 반응에 대한 청감실험 비교 연구
전형준(Chun, Hyung-Joon),김득성(Kim, Deuk-Sung),고준희(Ko, Joon-Hee),장서일(Chang, Seo-Il) 한국소음진동공학회 2008 한국소음진동공학회 논문집 Vol.18 No.3
In recent years, public complaints against railroad noise by KTX and Ordinary train have been rising. Regulation of railways noise uses same standard without distinguishing the type of railroad cars. According to the type of railroad cars, the frequency characteristics of emitting noise is different. Therefore it is requested to know how the public response vary to each types of railroad cars. The noise annoyance from three types of trains(KTX, electric train, diesel train) was analyzed by jury evaluation test for assessing the effect of frequency characteristics. The numerical results by a semantic differential method showed that annoyance response to three type of trains depended on the frequency characteristics. As a result, this study proposed that the KTX could have a bonus level of maximum 2.9 dB(A) compared to ordinary train.
GIS와 3차원 소음지도를 이용한 소음 노출 인구 산정 방법에 관한 연구
고준희(Ko, Joon-Hee),전형준(Chun, Hyung-Joon),장서일(Chang, Seo-Il) 한국소음진동공학회 2007 한국소음진동공학회 논문집 Vol.17 No.6
Reasonably accurate estimation of the exposed population to the distinct levels of noise is essential to the efficient management of urban environmental noise. This study proposes a method of calculating the number of exposed people to industrial noise by using GIS tool and noise mapping. The exposed population of noise based on estimation of the number of people that lived in each building in urban area is compared with the one based on density of population. This study suggests the five step method that consists of gathering the fundamental data, extracting the property from the digital map, noise mapping based on the three dimensional topography, estimating population that lives in each building, merging the various results with GIS tool, and estimating exposed population to industrial noise through analyzing the noise map with GIS tools.