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신준호,김군수,박요섭,나백주,손석준,김병우,Shin, Jun-Ho,Kim, Gun-Su,Park, Yo-Sub,Na, Bek-Ju,Sohn, Seok-Joon,Kim, Byong-Woo 대한예방의학회 1995 Journal of Preventive Medicine and Public Health Vol.28 No.3
In order to investigate the prevalence and the factors related to the depression and burnout among private practice physicians, a SDS(self-rating depression scale) and MBI(Maslach burnout inventory) -based questionnaire study was performed on 344 private practice physicians in Kwangju and Chonnam area. The results were summarized as follows. 1. Mean SDS score was 38.3 in total subjects and the prevalence rate of depression was 48.8%. As for the frequency order of the items of the SDS, decreased libido, diurnal variation and hopelessness were relatively high, and suicidal rumination, constipation and agitation were noted low. 2. Noticeable factors related with depression were smoking, coffee use, sleeping time and satisfaction with income. 3. As a result a factor analysis with the MBI data, five factors named as emotional exhaustion, depersonalization, personal accomplishment, involvement and self-interest were extracted. Statistical analysis of the data demonstrated that 48.8% of the physician sample reported high scores on emotional exhaustion, and 45.3% scored high on depersonalization. Personal accomplishment scores remained high with 45.3% reporting high personal accomplishment. 4. Variables related to the burnout were age, sleeping time, family size religion, medical speciality, duration of practice setting, visiting patient number, closing day per month and job satisfaction. 5. In the relationship with depression, burnout was closely related to depression. Above results showed that the high percentage of private practice physicians experiencing depression and burnout suggests the need for further research to establish trends, to identify causal factors, and to develop avenues to reduce stress.
신준호,원유진,홍일민,Shin, Junho,Won, Eugene,Hong, Ilmin 한국자동차안전학회 2014 자동차안전학회지 Vol.6 No.2
Based on the analysis of the actual passenger vehicle fire cases for recent four years (2010~2013), the passenger vehicle fire is increasing annually. Main root cause was analyzed as an electric problem as a 39%. Vehicle fire case by electric problem was mainly caused by use of Non-genuine part. Vehicle fire case by mechanical problem was mainly caused by various oil system maintenance. Vehicle fire case by smoking material was mainly caused by cigarette and disposal lighter. And external fire transition issue and towing mistake fire cases was also confirmed.
실시간 위치 추적 시스템을 위한 ESPRIT 기반의 초 분해능 지연 시간 추정 알고리즘
신준호(Joon-Ho Shin),박형래(Hyung-Rae Park),장은영(Eun-young Chang) 한국통신학회 2013 韓國通信學會論文誌 Vol.38 No.4C
본 논문에서는 실시간 위치 추적 시스템 (RTLS: real-time locating system)을 위한 ESPRIT 기반의 초 분해능 지연 시간 추정 (super-resolution time delay estimation) 알고리즘을 개발하고 여러 가지 다중 경로 환경에서 성능을 분석한다. 지연 시간 추정을 위한 기존의 코릴레이션 방식은 다중 경로들의 지연 시간의 차이가 한 칩 이내일 경우 성능이 급격히 저하되는 문제점이 있다. 이러한 문제를 해결하기 위해 대표적인 초 분해능 도래각 추정 알고리즘인 ESPRIT을 지연 시간 추정에 적용하여 주파수 영역 초 분해능 지연 시간 추정 알고리즘을 개발하고 여러 가지 다중 경로 환경에서 알고리즘의 성능을 분석한다. In this paper an ESPRIT-based super-resolution time delay estimation algorithm is developed for real-time locating system (RTLS) and its performance is analyzed in various multipath environments. The performance of the existing correlation method for time delay estimation seriously degrades in multipath environments where the relative time delays of multipath signals are less than a PN chip. To solve the problem we shall develop a frequency domain super-resolution time delay estimation algorithm using the ESPRIT, the most representative super-resolution direction-of-arrival (DOA) estimation algorithm, and analyze its performance in various multipath environments.
신준호 ( Jun-ho Shin ),심규석 ( Gyu-seok Sh ) 한국정보처리학회 2020 한국정보처리학회 학술대회논문집 Vol.27 No.2
본 시스템은 세 단계의 모델을 복합적으로 구성하여 이루어진다. 첫 단계로 사람의 음성언어를 텍스트로 전환한 후 사용자의 발화 의도를 분류해내는 BoW방식을 이용해 인간의 명령을 이해할 수 있는 자연어 처리 알고리즘을 구성한다. 이후 YOLOv3-tiny를 이용한 실시간 영상처리모델과 OctoMapping모델을 활용하여 주변환경에 대한 3차원 지도생성 후 지도데이터를 기반으로하여 동작하는 기구제어 알고리즘 등을 ROS actionlib을 이용한 관리자시스템을 구성하여 ROS와 딥러닝을 활용한 편리한 인간-로봇 상호작용 시스템을 제안한다.