• Title/Summary/Keyword: Public Objects

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A Study on the Health Care Status In a Rural Area (일부 농촌지역 건강관리 실태에 관한 조사연구)

  • En Kung Sun;Han Myung Hwa
    • Journal of Korean Public Health Nursing
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    • v.8 no.1
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    • pp.73-83
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    • 1994
  • This study was conducted to investigate rural residents' health status and lifestyle before inputing the health promotion services in CHP post juridiction area. For the survey. questionaire survey was done during the period from September 1993 to October 1993. Questionare was composed 14 items of general characteristics and 12 items of health age. Respondents were 119 residents among 300 residents in a rural area. For the analysis. descriptive statistics were used by calculating frequencies. percentages and $x^2-test$ Were employed to test the differences and the statistical significance. The major results are as follows; 1. Characteristics of the objects: The sex $61.0\%$ of female. the age was $36.0\%$ of over the fifties. the educational background was $47.4\%$ of elementary graduation. the marital status was $94.9\%$ of married and the monthly income was $35.3\%$ of less than 600,000 won. 2. Health status of the objects; Hepatitis antibody was possessed only $6.2\%$. hypertension was $27.3\%$. pulse rate and disease status were. for the most part, normal. 3. Health care status of the objects: They didn't use $74.1\%$ of medical services for the two weeks and regular health check-up. 4. Health behavior of the objects: The diet was $78.1\%$ of intaking meats and fish below 4 times for 1 week, no smoking was $66.1\%$. drinking was $70.83\%$ below two and half times for 1 week, life satisfaction was $21.8\%$. stress management was $41.5\%$ and exercise for health was $25.2\%$. 5. Experience of common cold for 3 years was $46.2\%$. hypertention by sex was $8.7\%$ of males and $19.4\%$ of females and diabetus was $1.7\%$ 6. Helth behavior by educational background didn't do in low educational background. 7. Health age of the objects was $62.3\%$ of $+1\~+4$ than actual age.

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Robust Detection Technique for Abandoned Objects to Overcome Visual Occlusion (시각적 가려짐을 극복하는 강인한 유기물 탐지 기법)

  • Kim, Won
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.6
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    • pp.23-29
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    • 2010
  • Nowadays it is required to design intelligent visual surveillance systems which automatically detect abandoned objects in public places to strengthen the social safety. Already recognized abandoned objects can be occluded partially or fully by surrounding people in public places after the first recognition. To improve an essential recognition performance index PAT, the system should overcome the occlusion problems. In this research, a design scheme is newly proposed to construct the robust detection system which is comprised of multiple stages considering the occlusion problem. To show the feasibilities of the proposed system, the evaluation was tried for the prepared image streams including 6 various situations and the experimental results show 96% and 75% in PAT performance for intrusion and abandoning events, respectively. Finally in spite of full occlusions by multiple persons, the proposed system shows the capability to continuously recognize the abandoned object after complex occlusions disappear.

Grid-based Similar Trajectory Search for Moving Objects on Road Network (공간 네트워크에서 이동 객체를 위한 그리드 기반 유사 궤적 검색)

  • Kim, Young-Chang;Chang, Jae-Woo
    • Journal of Korea Spatial Information System Society
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    • v.10 no.1
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    • pp.29-40
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    • 2008
  • With the spread of mobile devices and advances in communication techknowledges, the needs of application which uses the movement patterns of moving objects in history trajectory data of moving objects gets Increasing. Especially, to design public transportation route or road network of the new city, we can use the similar patterns in the trajectories of moving objects that move on the spatial network such as road and railway. In this paper, we propose a spatio-temporal similar trajectory search algorithm for moving objects on road network. For this, we define a spatio-temporal similarity measure based on the real road network distance and propose a grid-based index structure for similar trajectory search. Finally, we analyze the performance of the proposed similar trajectory search algorithm in order to show its efficiency.

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Construction and Effectiveness Evaluation of Multi Camera Dataset Specialized for Autonomous Driving in Domestic Road Environment (국내 도로 환경에 특화된 자율주행을 위한 멀티카메라 데이터 셋 구축 및 유효성 검증)

  • Lee, Jin-Hee;Lee, Jae-Keun;Park, Jaehyeong;Kim, Je-Seok;Kwon, Soon
    • IEMEK Journal of Embedded Systems and Applications
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    • v.17 no.5
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    • pp.273-280
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    • 2022
  • Along with the advancement of deep learning technology, securing high-quality dataset for verification of developed technology is emerging as an important issue, and developing robust deep learning models to the domestic road environment is focused by many research groups. Especially, unlike expressways and automobile-only roads, in the complex city driving environment, various dynamic objects such as motorbikes, electric kickboards, large buses/truck, freight cars, pedestrians, and traffic lights are mixed in city road. In this paper, we built our dataset through multi camera-based processing (collection, refinement, and annotation) including the various objects in the city road and estimated quality and validity of our dataset by using YOLO-based model in object detection. Then, quantitative evaluation of our dataset is performed by comparing with the public dataset and qualitative evaluation of it is performed by comparing with experiment results using open platform. We generated our 2D dataset based on annotation rules of KITTI/COCO dataset, and compared the performance with the public dataset using the evaluation rules of KITTI/COCO dataset. As a result of comparison with public dataset, our dataset shows about 3 to 53% higher performance and thus the effectiveness of our dataset was validated.

A Study on Characteristics of the View point Setting in Urban scape Plan -In the case of the Regional Small & Medium Cities in Jeollanamdo- (조망경관계획에서 조망점 설정 특성에 관한 연구 -전라남도 중소도시 사례를 대상으로-)

  • Park, Jung-Hyun;Kim, Yun-Hag
    • Journal of the Korean Institute of Rural Architecture
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    • v.13 no.1
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    • pp.9-20
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    • 2011
  • This study is designed to examine characteristics and types of basic landscape design established by 7 local governments in Jeollanam-do and its availability as the index of landscape administration and present a guideline with view landscape plan of local governments. The results of this study are described below. In case of view landscape, while Korean cities have not many historical assets like landmark, they have locational characteristics with mountain or coast in the center or surroundings of downtown. Therefore, since view landscape has many cases of restricting individual property rights as well as having a value as public property of city which makes recognition of sharing city, it is very sensitive problem and establishing guideline of it is needed. But, it was found that view landscape plan of local governments established location of view spot with the nature of relief viewing downtown or coast from high spot. Selection of viewing objects in view plan require deciding an object as the public property of city and big cities require selection from the zone and small cities must select 1~2 spots from the viewpoint of whole downtown. 3~4 view spots of middle and distant views which makes city community centering around the subject of view must be selected through enough discussion and in case of natural landscape, View shaft or visible rays require setting of range that 30% of viewing objects is seen. View spot or viewing objects should be selected over twice as extra spots through public hearing and civil participation as the process.

Dangerous Abandoned Object Extraction Model Using Area Variation Characteristics (면적의 변화 특성을 이용한 위험 유기물 형상 추출 모델)

  • Kim, Won
    • Journal of the Korea Convergence Society
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    • v.11 no.8
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    • pp.39-45
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    • 2020
  • Recently the terrors have been attempted in the public places of the nations such as United states, England and Japan by explosive things, toxic materials and so on. It is understood that the method in which dangerous objects are put in public places is one of the difficult types in detection. While there are the cameras recording videos for many spots in public places, it is very hard for the security personnel to monitor every videos. Nowadays the smart softwares which can analyzing videos automatically are utilized to detect abandoned objects. The method by Lin et al. shows comparatively high detection rates for abandoned objects but it is not easy to obtain the shape information because there is a tendency that the number of the pixels decreases abruptly along the time goes due to the characteristics of short-term background images. In this research a novel method is proposed to successfully extract the shape of the abandoned object by analysing the characteristics of area variation. The experiment results show that the proposed method has better performance in extracting shape information in comparison with the precedent approach.

A Study on the Color Image of Environment Shape Objects in University -Focusing on the Case of Kongju University- (대학 내 공공 환경조형물 색채 감성이미지 분석 연구 -공주대학교 사례를 중심으로-)

  • Kim, Hye-Jin;Chung, Ji-Bok;Choi, Jung-In
    • Journal of Digital Convergence
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    • v.17 no.6
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    • pp.349-354
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    • 2019
  • The purpose of this study is to measure and analyze color image scale when viewing the public objects installed in Kongju National University and the installation environment, and preferred colors and color image scale in the color planning. The research was conducted with the analysis of the sculpture installed in the school and the questionnaire for the students. As a result of the study, suggestions were made for points to be considered for user's perception of environmental sculptures in the school and when constructing the sculpture. This study approaches the color of the public environment sculpture installed in the school academically, and proposes factors to be considered in the color planning stage in the future. Therefore, it is expected that this study will provide appropriate guidelines for the installation and planning of the sculpture in the school.

A Study on the Media Characteristics of Contemporary Interior Design (현대 공간 디자인의 매체성에 관한 연구)

  • Shin, Hong-Kyung
    • Korean Institute of Interior Design Journal
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    • v.16 no.5
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    • pp.30-37
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    • 2007
  • According to the passage of an age, a method which communicates each other between the city and space, and space and a human has changed. Recently, as the city is developing related with the public, the sphere and a territory of activity of a public has been wider in an environment of the city. Therefore, development of night scenery and the rise of a medium of a vision are accompanied with a new material and the high-technology. Innovation of abundant techniques tends to being surface and mass media, and breaks from the architectural aspect of space as mutual expansion of relations between interior and exterior, and making a boundary obscurely. Space design represents peculiarity of non-territorial which modern art, an advertisement, a media and a reflection are integrated as getting over above tendency. As we find out methods which the public can communicate with the space in wider territory, the public and the space can extend mutual relations and the design of modern space is been varying a part as the space which has a context of city and synthetic sociality for the public by avoiding independent objects.

Image-based ship detection using deep learning

  • Lee, Sung-Jun;Roh, Myung-Il;Oh, Min-Jae
    • Ocean Systems Engineering
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    • v.10 no.4
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    • pp.415-434
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    • 2020
  • Detecting objects is important for the safe operation of ships, and enables collision avoidance, risk detection, and autonomous sailing. This study proposes a ship detection method from images and videos taken at sea using one of the state-of-the-art deep neural network-based object detection algorithms. A deep learning model is trained using a public maritime dataset, and results show it can detect all types of floating objects and classify them into ten specific classes that include a ship, speedboat, and buoy. The proposed deep learning model is compared to a universal trained model that detects and classifies objects into general classes, such as a person, dog, car, and boat, and results show that the proposed model outperforms the other in the detection of maritime objects. Different deep neural network structures are then compared to obtain the best detection performance. The proposed model also shows a real-time detection speed of approximately 30 frames per second. Hence, it is expected that the proposed model can be used to detect maritime objects and reduce risks while at sea.

A Study on the Public Relations of Public Libraries through Newspaper Article Analysis: The Case of Eunpyeong Public Library (신문기사 분석을 통한 공공도서관의 홍보에 관한 연구 - 은평구립도서관의 사례를 중심으로 -)

  • Cho, Chan-Sik
    • Journal of the Korean Society for Library and Information Science
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    • v.46 no.1
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    • pp.223-240
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    • 2012
  • This study aimed to enhance our understanding of the public relations of public libraries through newspaper article analysis. Thus, this study built a theoretical background on the public relations of public libraries through newspaper articles. It examined newspaper articles on Eunpyeong Public Library in 2010 according to newspaper classification, article type, and article content among others. Accordingly, this exploratory case study, which used the methods of content analysis, interview, and site visit, analyzed them, with emphasis on such factors as the subjects, objects, direction, contents, and methods that influenced the public relations of public libraries.