• 대한원격탐사학회지
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• 제27권3호
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• pp.379-388
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• 2011

At present, GEOBIA (Geographic Object-based Image Analysis), heir of OBIA (Object-based Image Analysis), is regarded as an important methodology by object-oriented paradigm for remote sensing, dealing with geo-objects related to image segmentation and classification in the different view point of pixel-based processing. This also helps to directly link to GIS applications. Thus, GEOBIA software is on the booming. The main theme of this study is to look into the applicability of geo-spatial processing open source to GEOBIA. However, there is no few fully featured open source for GEOBIA which needs complicated schemes and algorithms, till It was carried out to implement a preliminary system for GEOBIA running an integrated and user-oriented environment. This work was performed by using various open sources such as OTB or PostgreSQL/PostGIS. Some points are different from the widely-used proprietary GEOBIA software. In this system, geo-objects are not file-based ones, but tightly linked with GIS layers in spatial database management system. The mean shift algorithm with parameters associated with spatial similarities or homogeneities is used for image segmentation. For classification process in this work, tree-based model of hierarchical network composing parent and child nodes is implemented by attribute join in the semi-automatic mode, unlike traditional image-based classification. Of course, this integrated GEOBIA system is on the progressing stage, and further works are necessary. It is expected that this approach helps to develop and to extend new applications such as urban mapping or change detection linked to GIS data sets using GEOBIA.

• 여성건강간호학회지
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• 제27권3호
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• pp.220-229
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• 2021

Purpose: The world saw a shift into a new society consequent to the coronavirus disease 2019 (COVID-19), which made home quarantine mandatory for a person in close contact with those who tested positive. For children, however, home quarantine was not limited only to themselves but parents, especially mothers were involved and required to quarantine. This qualitative study aims to explore and understand mothers' experience and their related psychosocial issues while caring for their school-aged children in Korea, who had to home quarantine after coming in close contact with COVID-19 positive individuals. Methods: Data were collected from October 2020 to January 2021 via in-depth, semi-structured interviews with nine mothers of children who had to home quarantine. Interviews were conducted face-to-face in an independent space near the participant's home or workplace (n=5) or via online platforms or telephone (n=4). The data were analyzed using thematic analysis through several iterative team meetings. Results: Thematic analysis revealed the following four themes: "Unable to be relieved due to uncertain situations surrounding me," "Blame and hurt toward me, others, and one another," "Pulling myself together for my children in my broken daily life," and "Changes in the meaning of life amid COVID-19." Conclusion: The narratives show that mothers experienced psychosocial difficulties while caring for their children during home quarantine. It is necessary to reduce the social stigma toward individuals in home quarantine and establish policies to ensure work-family compatibility for such mothers.

• International journal of advanced smart convergence
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• 제8권1호
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• pp.24-34
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• 2019

In this research, a practical deep learning framework to differentiate the lesions and nodules in breast acquired with ultrasound imaging has been proposed. 7408 ultrasound breast images of 5151 patient cases were collected. All cases were biopsy proven and lesions were semi-automatically segmented. To compensate for the shift caused in the segmentation, the boundaries of each lesion were drawn using Fully Convolutional Networks(FCN) segmentation method based on the radiologist's specified point. The data set consists of 4254 benign and 3154 malignant lesions. In 7408 ultrasound breast images, the number of training images is 6579, and the number of test images is 829. The margin between the boundary of each lesion and the boundary of the image itself varied for training image augmentation. The training images were augmented by varying the margin between the boundary of each lesion and the boundary of the image itself. The images were processed through histogram equalization, image cropping, and margin augmentation. The networks trained on the data with augmentation and the data without augmentation all had AUC over 0.95. The network exhibited about 90% accuracy, 0.86 sensitivity and 0.95 specificity. Although the proposed framework still requires to point to the location of the target ROI with the help of radiologists, the result of the suggested framework showed promising results. It supports human radiologist to give successful performance and helps to create a fluent diagnostic workflow that meets the fundamental purpose of CADx.

• International Journal of Computer Science & Network Security
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• 제22권5호
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• pp.342-347
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• 2022

On Cloud, the important data of the user that is protected on remote servers can be accessed via internet. Due to rapid shift in technology nowadays, there is a swift increase in the confidential and pivotal data. This comes up with the requirement of data security of the user's data. Data is of different type and each need discrete degree of conservation. The idea of data security data science permits building the computing procedure more applicable and bright as compared to conventional ones in the estate of data security. Our focus with this paper is to enhance the safety of data on the cloud and also to obliterate the problems associated with the data security. In our suggested plan, some basic solutions of security like cryptographic techniques and authentication are allotted in cloud computing world. This paper put your heads together about how machine learning techniques is used in data security in both offensive and defensive ventures, including analysis on cyber-attacks focused at machine learning techniques. The machine learning technique is based on the Supervised, UnSupervised, Semi-Supervised and Reinforcement Learning. Although numerous research has been done on this topic but in reference with the future scope a lot more investigation is required to be carried out in this field to determine how the data can be secured more firmly on cloud in respect with the Machine Learning Techniques and cryptographic methods.

• Clinical and Experimental Reproductive Medicine
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• 제2권2호
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• pp.13-26
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• 1975

Seven aspects of attitude toward marriage in Korea are examined to better understand present and future marriage patterns. Also, various facets of current marriage practice are compared with attitudes. The study comprises three groups of roughly 600 women each, selected by random sampling from a rural, an urban, and a semi-urban area. A carefully designed and pretested questionnaire was checked for reliability by a reinterview in a 15% subsample. The great majority of Korean women support traditional attitudes that one must or should marry. The small group who recommend that one should not marry are mostly the very young or the never married, whose attitudes still may change. However, there are important and probably predictive shifts in favor of more individual decision, especially among the better educated, the young, and the more urban. Traditional reasons for marriage such as "custom" and procreation are ranked first by a majority, but there is a large shift to more contemporary or liberal desire for companionship and love, also primarily among the better educated, the urban, the young, and the never married. The traditional attitude that parents should have the sole or major role in mate selection is still held by a bare majority; the educated, urban, young, and never married are more liberal. Only 6% opt for each of the two extremes: That the parent alone or the respondent alone should decide. The remainder prefer one of the two middle-of-the-road positions where parent and child together decide. The proportions of respondents who classed specified criteria as moat important for selecting a husband, arranging the criteria in order from traditional to contemporary were: Lineage, etc., 23%; personal attributes, 40%; health and education, 27%; and love, 10%. The changing attitudes are suggested by the fact that love was ranked first by only 3% of the poorly educated rural poulation versus 23% of urban college level and 31% of the urban never married. There has been a substantial rise in the ideal age of marriage over the past twelve or more years, but there also is evidence that the ideal age is at or near a ceiling. Knowledge about legal age of marriage is minimal; the implications of this for proposed legislation are discussed. Three-fifthes to four-fifths of all respondents married husbands of the same religious, residential, and economic backgrounds as themselves. Almost all of them married men of the same or higher educational level. These evidences of traditional influences in mate selection are contrasted with the low priority given some of those items in earlier questions on reasons for marriage and criterion for selecting husband. Contrary to the expressed attitudes as to who should select the husband, we find that marriages of the study sample were stated to be arranged by parents alone in 62%; and in another 23%, the parents made the decision but asked the respondent's views. Such arrangements were most frequent among the rural, the less educated, and the older respondents and less common in the urban and more educated. The implications of these and related findings are discussed.

• 사회복지연구
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• 제44권3호
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• pp.207-236
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• 2013

장애인복지관은 장애패러다임의 변화와 더불어 사회서비스 체계의 민영화, 사회복지시설 평가 강화로 경쟁체제로의 전환을 요구받고 있으며 국고보조금의 축소로 재원마련도 고심해야 하는 환경에 놓여있다. 2000년 이후부터 환경변화가 급속화되면서 장애인복지관의 최고관리자들은 조직의 존립과 발전을 동시에 생각해야 하는 리더십의 과제에 직면해 있다. 본 연구에서는 이러한 환경변화 속에서 장애인복지관의 발전을 도모할 수 있는 효과적인 리더십을 분석하기위하여 Weick(1995)의 센스메이킹(sensemaking) 이론적 틀에 근거한 질적연구를 실시하였다. 서울, 경기 지역 소재 장애인복지관 6곳의 관장, 팀장, 실무자와 한국장애인복지관협회 직원 1명을 포함한 20명이 연구에 참여하였다. 2012년 3월 말부터 5주에 걸쳐 반구조화면접을 실시한 후 녹취록을 Atlasti 질적분석 프로그램을 이용하여 주제별 분석을 하였다. 연구결과 구성원의 환경인식, 조직의 방향성 정립, 직위 간 의사소통의 세가지 주제들로 분석할 수 있었다. 결론적으로 6개 장애인복지관은 같은 환경변화 하에 놓여 있었지만 최고관리자의 센스메이킹 여하에 따라 중간관리자는 물론 일선실무자의 업무 인식과 실행이 영향을 받고 있음을 알 수 있었다. 최고관리자가 자신의 경험에 대한 성찰과 더불어 구성원과의 상호작용이 일상적으로 이루어지는 센스메이킹을 할 때 조직 구성원들을 같은 방향으로 이끄는 리더십이 발현되는 것으로 해석되었다.

• 국제지역연구
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• 제22권2호
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• pp.163-186
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• 2018

이 연구는 북한경제체제전환을 위한 제도적 조건과 문제점을 분석하기 위한 데 목적이 있다. 연구방법으로는 먼저 주요 경제체제전환국들의 4대 시장개혁정책(자유화, 사유화, 민영화, 주식회사화)의 법제화과정들을 시기별로 비교분석하고 북한과의 차이점을 도출하였다. 이를 바탕으로 북한의 4단계 경제개혁정책(7.1조치, 종합시장정책, 화폐개혁, 6.28방침)의 제도화 과정들을 분석하고 경제체제전환국 사례의 북한 적용가능성에 대한 문제점, 그리고 전망을 모색하였다. 연구결과, 현재 북한 시장경제의 변화를 경제체제전환국들과 동일선상에서 비교할 수 없는 중요한 조건 세 가지가 있다. 첫째, 경제체제전환을 위한 대내외적인 조건과 환경, 그리고 국가와 시민사회의 역할이 다르다. 둘째, 정책결정과정과 집행과정의 수단과 목적도 다르다. 셋째, 국가의 정치경제정책의 속성과 실효성측면에서도 다르다. 넷째, 경제개혁을 위한 경제정책의 우선순위와 내용, 법제화과정들이 서로 다르다. 특히'중국식 모델'로의 이행가능성에 대해 논의할 때, 그것도 상당한 위험성을 내포한다. 그것은 북한에서 통제 권력의 시장투입 목적과 그들 생존 네트워크는 상당히 독보적이기 때문이다. 또한 중국과 북한의 내수시장 규모, 인구규모, 통제유형도 상당히 다르다. 북한 경제체제전환을 위한 필요충분조건은 시장 영역에서 물리적 통제기구와 제도의 완화이다. 다음으로 현재 불법 소유화 시장에 대한 전수조사와 함께 합법적 제도화가 시급히 이루어져야 한다. 이를 바탕으로 내수 시장의 중국 의존성을 점차 한국으로 전환할 필요가 있다. 즉 선 통제 권력 배제, 후 자율화 및 내수시장의 패러다임 전환이다.