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비협동 양상태 소나에서 적함 송신기의 단일 능동 신호와 해저 지형 정보를 이용한 송신기 정보 추정
이동화,남종근,정태진,이균경,Lee, Dong-Hwa,Nam, Jong-Geun,Jung, Tae-Jin,Lee, Kyun-Kyung 한국군사과학기술학회 2010 한국군사과학기술학회지 Vol.13 No.2
The bistatic sonar operations using a spatially-separated source and receiver are classified into cooperative and non-cooperative operations. In the cooperative operation, an active signal of a friendly ship is used and the source information is known previously. In the non-cooperative operation, an active signal of the enemy is used and it is difficult to find out the source information. The source information consists of the range, speed, course and frequency of the source. It gives advantage to operating bistatic sonar. This paper suggests a method of estimating the source information with geographic information in the sea and the single-ping of the enemy. The source range is given using one geographic point. And the source speed, course and the frequency of the enemy's source signal are given using two geographic points. Finally, the validity of the scheme is confirmed through a simulation study.
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근거이론과 IPA 방법론을 활용한 고령자 인식 기반 보행환경 영향 요인 분석
조선경,남종근,이동하,한태경,하정원,이수기 대한국토·도시계획학회 2023 國土計劃 Vol.58 No.3
As the proportion of the elderly population continues to increase with the advent of a super-aged society, the need to identify the factors affecting the walking of the elderly living in urban areas is also growing. Meanwhile, existing studies investigating the walking behavior of the elderly have been mainly conducted based on research questions, thereby inducing the differences between elderly individuals' actual experiences and the response options provided in surveys. To solve these problems, this study more accurately analyzed by identifying the factors affecting the walking pattern of the elderly through depth interviews using the grounded theory. Responses were categorized through open and axial codings to derive common opinions on the factors affecting elderly pedestrians. The grounded theory analysis confirmed that walking was reduced owing to the inconvenience experienced when walking and the limitations of response such as lack of resting spaces. New elements such as the interest shown by companions, pets, and young people were also noted. In particular, owing to the increase in pet ownership, the aggressive and erratic behavior of pets when walking was a factor that increased anxiety in older pedestrians. The results were subsequently confirmed through Importance–Performance Analysis (IPA) by surveying 222 people of age more than or equal to 60. The IPA showed that quality and convenience were the essential factors in walking that had to be enhanced over time. This study had policy implications in that it derived new factors affecting walking from the perspective of the elderly, reflected them in the analysis process, and evaluated the extent of generalized suitability they showed in the actual environment.
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하이라이트 모델을 이용한 능동소나 표적신호의 합성 및 인식
김태환,박정현,남종근,이수형,배건성,Kim, Tae-Hwan,Park, Jeong-Hyun,Nam, Jong-Geun,Lee, Su-Hyung,Bae, Keun-Sung 한국음향학회 2009 韓國音響學會誌 Vol.28 No.2
본 논문에서는 하이라이트 모델에 기반하여 능동소나의 표적신호를 합성하고, 합성된 신호를 이용하여 표적인식 실험을 수행하였다. 동일 표적이라도 표적의 자세각에 따라 다양한 형태의 파형을 갖는 신호가 합성되는데, 이에 대한 표적인식 결과를 알아보기 위해서 두 가지 방법으로 실험을 수행하였다. 하나는 고정된 여러 가지 자세각에 대한 표적신호에 대한 인식실험이고, 다른 하나는 임의의 자세각을 가지는 교신에 대만 인식 실험을 수행하였다. 인식실험을 위한 특징 인자로는 합성된 표적신호에 대해 시간영역에서 정합필터 및 포락선 검출을 통해 얻어지는 하이라이트 패턴을 사용하였으며, 패턴인식 기법으로는 다중클래스 SVM과 인공신경망을 사용하였다. In this paper, we synthesized active sonar target signals based on highlights model, and then carried out target classification using the synthesized signals. If the target aspect angle is changed, the different signals are synthesized. To know the result, two different experiments are done. First, The classification results with respect to each aspect angle are shown. Second, the results in two group in aspect angle are acquired. Time domain feature extraction is done using matched filter and envelope detection. It shows the pattern of each highlights. Artificial neural networks and multi-class SVM are used for classifying target signals.
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