2019년 동남아시아 국가연합(ASEAN)이 채택한 ‘인도·태평양에 대한 아세안의 관점(AOIP)’은 새로운 질서를 제시하거나 새로운 협력 메커니즘 을 수립하는 등 기존 메커니즘을 획기적으로 대체한 것은 아니었다. 오히 려 기존의 협력 아젠다들을 종합하고 정리한 문서로 여겨진다. 그렇다면 아세안은 왜 이러한 지역 전략 문서를 채택했는가? 본 연구는 이 질문에 대답하기 위해 아세안 AOIP의 수립 배경과 이를 통한 아세안의 인태전략 해석에 초점을 맞춘다. 기존 연구는 아세안의 인태전략이 외부 환경과의 고려 가운데 내려진 전략적 선택의 결과물이라는 점을 종종 간과하고 있 다. 본 논문은 아세안의 전략적 선택 추론을 위해 아세안에게 크게 네 가 지 가능성이 있었음을 제시한다. 이를 뒷받침하기 위해 AOIP와 기타 협 력 이니셔티브 등의 내용을 분석하여 소개한다. 또한 구체적 근거 제시를 위해 AOIP에서 강조된 4가지 영역(해양협력, 연계성, UN SDGs, 기타 경 제협력 등)이 대화 상대국과의 협력 과정에서 어떻게 등장하는지 살펴본 다. 본 연구는 인태지역을 둘러싼 이해 당사국의 역동성을 아세안의 AOIP 수립을 통해 구체화했다는 연구 함의와 더불어 향후 이를 중심으로 한 AOIP의 발전 가능성을 탐구했다는 점에 연구 의의를 갖는다.

Indonesian women have emerged as global consumers, and various studies are needed to expand the global fashion market targeting their needs. In this study, a survey was conducted to determine the fashion design preferences of Indonesian Muslim women according to demographic characteristics and religious variables. In this study, Indonesian women aged from their teens to their 40s were surveyed by questionnaire during June 2020. This yielded 301 survey responses, which were analyzed using χ2-test, t-test, ANOVA, and Duncan's multiple range test using SPSS23. The results of the study are as follows: Analysis of the demographic characteristics of Indonesian Muslim women and the degree of acceptance of fashion trends according to religious variables showed significant differences according to age, monthly income, and the extent to which they wore a hijab. Analysis of the demographic characteristics of the women and the degree of acceptance of the fitted garment according to religious variables showed significant differences depending on their age, whether they were married, their monthly income, religious faithfulness, the extent to which they wore a hijab, and the degree of acceptance of Islamic discipline. After examining the difference in Muslim women’s preferred fashion images (according to demographic characteristics and religious variables), significant differences were identified according to their age, income, extent to which they wore a hijab, and the degree of Islamic discipline with regard to clothing.

In this study, the precise orbit determination (POD) software is developed for optical observation. To improve the performance of the estimation algorithm, a nonlinear batch filter, based on the unscented transform (UT) that overcomes the disadvantages of the least-squares (LS) batch filter, is utilized. The LS and UT batch filter algorithms are verified through numerical simulation analysis using artificial optical measurements. We use the real optical observation data of a low Earth orbit (LEO) satellite, Cryosat-2, observed from optical wide-field patrol network (OWL-Net), to verify the performance of the POD software developed. The effects of light travel time, annual aberration, and diurnal aberration are considered as error models to correct OWL-Net data. As a result of POD, measurement residual and estimated state vector of the LS batch filter converge to the local minimum when the initial orbit error is large or the initial covariance matrix is smaller than the initial error level. However, UT batch filter converges to the global minimum, irrespective of the initial orbit error and the initial covariance matrix.