• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.737-742
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• 2023

This paper attempts to analyze how Paris was transformed by Haussman through comparing flaneurs in works by Balzac and Baudelaire. In both writers' works, flâneurs as the emblems of modernity observe Paris, especially architecture. Although representative of modernity, they are ambivalently obsessed with the heritage of the past. Balzac's The Wrong Side of Paris, Godefroid as a male bourgeois, is a flaneur observing antiquated architectures, the heritage of past. In Baudelaire's "The Swan for Victor Hugo" the flaneur passing through the modern Caroussel feels the Old Paris is gone. In "Parisian Dream," illusionary Paris exhibits metopolitan imagery wrought by capitalism led by Napoleon the third. The difference between the two writers demonstrate how Paris was changed by modernity.

• 한국노년학
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• v.36 no.4
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• pp.1089-1108
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• 2016

The purpose of this study was to develop a wandering management guideline for family caregivers of community-dwelling elders with dementia (EWD). In the first stage of the study, focus group and individual interviews (n=10) were performed to analyze family caregivers' experiences about wandering of the EWD under their care. In the second stage, preliminary contents for the guideline were made based on the interview results of family caregivers and reviews of literature. Final version of the guideline with 86 items was established after experts' review using the Content Validity Index analysis. In the final stage, a pilot test was conducted to evaluate the guideline using a sample of 13 family caregivers of EWD. Family caregivers were educated about how to use the guideline and asked to complete a set of questionnaire to examine their knowledge about wandering, degree of application of the guideline, and satisfaction with the guideline. Family caregivers' knowledge score was significantly improved (p=0.014) and the average scores in the process evaluation (9 items) and user satisfaction (7 items) about the guideline were 2.69-3.46 (range: 1-4), and 2.85-3.38 (range: 1-4), respectively. Further study with a large random sample is necessary to confirm the results of this study.

• Journal of Korea Multimedia Society
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• v.17 no.1
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• pp.15-25
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• 2014

In this paper, we propose a loitering detection using trajectory probability distribution and local direction descriptor for intelligent surveillance system. We use a background modeling method for detecting moving object and extract the motion features from each moving object for making feature vectors. After that, we detect the loitering behavior person using K-Nearest Neighbor classifier. We test the proposed method in real world environment and it can achieve real time and robust detection results.

• Korean journal of applied entomology
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• v.60 no.1
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• pp.105-114
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• 2021

Ground-dwelling arthropods are important components in apple orchard providing beneficial ecological services of predation and decomposition as well as herbivory. Groundcovers are managed differentially in organic and conventional apple orchards influencing ground-dwelling arthropod assemblages. We conducted 3-year studies to assess the effects of orchard management relative to weed management on the abundance and diversity of ground-dwelling arthropods using pitfall trapping. Most arthropods were classified as higher taxonomical groups and functional feeding guilds, while carabid beetles were classified into species level. Coleoptera was the dominating taxon of all ground-dwelling arthropods. Abundance of herbivores and predators was significantly higher in organic apple orchards than conventional ones. Higher abundance and diversity of carabid beetles were found in organic orchards than in conventional orchards. The abundance of Araneae, Coleoptera, or carabid beetles was negatively correlated to weed management frequency. It was found that ground-dwelling arthropods were more influenced by weed management practices than the farming systems.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.353-355
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• 2012

본 논문에서는 지능형 감시 시스템을 위한 3가지 이상행위 검출 방법을 제안한다. 단순히 직접 감시나 센서에 의존한 문제점 검출이 아닌 비전 기반 기술을 적용하여 특정지역 및 모든 감시구역에 대하여 객체의 이상 행동을 감지하는 방법들을 소개한다. 제안하는 이상행위의 분류는 배회, 도주, 특정 감시 지역 침입 3가지로 정의한다. 휘도 기반의 평균 배경 모델링 방법을 통하여 움직임 물체를 검출하고, 검출된 객체를 분석(위치, 크기, 방향, 속도) 및 정의한다. 이때 이상행위의 판단에 따라 정의된 시나리오 환경으로 구성하고 분석하였다. 제안하는 방법은 실험에 사용된 3가지 이상행위에 대해 1초 안에 검출되는 것을 보였다.

• Smart Media Journal
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• v.7 no.2
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• pp.40-46
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• 2018

The conventional CCTV surveillance system for preventing accidents and incidents misses 95% of the data after 22 minutes where one person monitors multiple CCTV. To address this issue, researchers have studied the computer-based intelligent video surveillance system for notifying people of the abnormal situation. However, because the system is involved in the problems of power consumption and costs, the intelligent video surveillance system based on embedded modules has been studied. This paper implements the intelligent video surveillance system based on embedded modules for detecting intruders, detecting fires and detecting loitering, falling. Moreover, the algorithm and the embedded module optimization method are applied to implement real-time processing. The intelligent video surveillance system based on embedded modules is implemented in Raspberry Pi. The algorithm processing time is 0.95 seconds on Raspberry Pi before optimization, and 0.47 seconds on Raspberry Pi after optimization, reduced processing time by 50.52%. Therefore, this suggests real processing possibility of the intelligent video surveillance system based on the embedded modules is possible.

• Journal of Digital Convergence
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• v.14 no.2
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• pp.217-225
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• 2016

In this study, a dementia patient care monitoring system is suggested that uses a wearable type bluetooth beacon to prevent them from going missing. This system shows whether the patients stay within the manageable area and sends a warning message to their monitoring managers' or guardians' smart devices when they leave it. The feature of the system is that it provides the service based on indoor location that makes the beacon worn by dementia patients continuously transmit their location information to the managing server through the smart terminal installed indoors or in hospitals and that enables the monitoring managers or the guardians to receive messages sent from the server that tell the patients' whereabouts through their smart devices. The system suggested in this paper is believed to be a system that effectively contributes to the prevention of the dementia patients' going astray from the hospitals and facilities where they are taking care.

• Journal of the Korean Professional Engineers Association
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• v.30 no.1
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• pp.5-15
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• 1997

방사선들 중에서 감마선은 우리의 몸 속을 깊숙이 침투할 수 있다. 그런 감마선이 우리 몸을 투과할 때, 체세표를 이룬 원자들의 궤도전자들과 충돌하면서 소멸된다. 우리는 그런 현상들을 물질과의 상호작용 이라 부른다. 방사선과 물질과의 상호작용은 원자의 단위에서 일어난다. 감마선이 물질과의 상호작용들은 물리적으로는 광전자 산란 효과, 컴프턴 산란 효과 그리고 전자쌍 생성효과 등으로 구분하여 설명된다. 방사선이 우리의 몸 속에서 체세포의 원자와 충돌하여 생기는 자유전자들은 몸 속에 남게 되고, 그들은 몸 속을 상당 기간 동안 배회하면서 인체의 생명 현상을 유지시킬 생화학 작용의 기능들을 약화시키기도 하고, 악성인 암세포들을 만들어내기도 하므로 건강 유지에 불리하게 작용한다. 따라서 감마선에 쪼여 생긴 자유전자들은 우리의 정상적인 건강 조건들을 해치는 주된 요소가 된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.1056-1058
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• 2022

본 연구는 항만에서 안전 수칙을 위반하여 발생하는 사고 및 이상행동을 실시간 탐지를 수행한 후 위험 상황을 관리자가 신속하고 정확하게 대처할 수 있도록 지원하는 지능형 CCTV, Smart Eye를 제안한다. Smart Eye는 컴퓨터 비전(Computer Vision) 기반의 다양한 객체 탐지(Object Detection) 모델과 행동 인식(Action Recognition) 모델을 통해 낙하 및 전도사고, 안전 수칙 미준수 인원, 폭력적인 행동을 보이는 인원을 복합적으로 판단하며, 객체 추적(Object Tracking), 관심 영역(Region of Interest), 객체 간의 거리 측정 알고리즘을 구현하여, 제한구역 접근, 침입, 배회, 안전 보호구 미착용 인원 그리고 화재 및 충돌사고 위험도를 측정한다. 해당 연구를 통한 자동화된 24시간 감시체계는 실시간 영상 데이터 분석 및 판단 처리 과정을 거친 후 각 장소에서 수집된 데이터를 관리자에게 신속히 전달하고 항만 내 통합관제센터에 접목함으로써 효율적인 관리 및 운영할 수 있게 하는 '지능형 인프라'를 구축할 수 있다. 이러한 체계는 곧 스마트 항만 시스템 도입에 이바지할 수 있을 것으로 기대된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.332-334
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• 2021

As fatal accidents due to industrial accidents and deaths due to civil accidents were pointed out as social problems, the Act on Punishment of Serious Accidents Occurred in the Workplace was enacted to ensure the safety of citizens and to prevent serious accidents in advance. Effort is required. In this paper, we propose a distance prediction model in relation to the case where an operator is hit by heavy equipment such as a forklift. For the data, actual forklift trucks and workers roaming environments were directly captured by CCTV, and it was conducted based on the Euclidean distance. It is thought that it will be possible to learn YOLO-v4 by directly building a data-set at the industrial site, and then implement a model that predicts the distance and determines whether it is a dangerous situation, which can be used as basic data for a comprehensive risk situation judgment model.