• Journal of the Society of Disaster Information
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• 제8권1호
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• pp.56-70
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• 2012

Civil defense evacuation facilities currently installed in our country are necessary to survey the operating status. The purpose of this study is to survey on the current facility for civil defense evacuation facilities equipment, management, and problem analysis, research and to build a facility model of the standard formulation through the analysis on the actual condition of the civil defense evacuation facility. The conclusions of this study are as follows. First, the civil defense evacuation facilities are most in Seoul. Second, civil defense evacuation facilities proved to be checked periodically without a systematic management. Many facilities do not have communication facilities appear to be evacuated in an emergency situation is expected to have difficulty in contact with the outside world. Fourth, the old civil defense evacuation facilities are in the center of the metropolitan area.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제19권10호
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• pp.243-253
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• 2018

This study aimed to investigate the effects of DCI on glucose control, quality of life(SF-36 Version 2.0, Korean) and SDSCA(Summary of Diabetes Self-Care Activities) in patients with type 2 diabetes mellitus. A randomized, double-blind, placebo-controlled study was performed on 46 patients with HbA1c 7.0% taking triple anti-diabetic drug regimen who visited the department of Endocrinology and Metabolism in Chungnam National University Hospital between March 2015 and May 2016. As a result, DCI treatment in the intervention group resulted in significantly reduced HbA1c levels $8.75{\pm}0.79%$(baseline), $8.36{\pm}1.03%$(after 12weeks), and $8.65{\pm}0.81%$(after 24weeks). However, patients in the control group did not show any significant change. Interestingly, both DCI treatment group and the control group significantly showed improvements in SDSCA. Participants in the intervention group showed a small yet significant improvement in their only fasting blood glucose test in SDSCA and revealed significant increase in the quantitative levels of quality of life, from $73.05{\pm}16.85$ to $82.74{\pm}10.68$. By using pathway analysis, improvement of SDSCA scores(${\beta}=-0.505$, t=-2.743) was the most influential factor to the fasting blood glucose. The quality of life of patients with type 2 diabetes mellitus was affected by changes of SDSCA scores(${\beta}=0.411$, t=2.024) and fasting c-peptide(${\beta}=-0.445$, t=-2.668) in DCI treatment group. In conclusion, treatment of DCI effectively improved glucose control in patients with type 2 DM(HbA1c level>7.0%) after 12 weeks of treatment, although it had no impact on glucose control after 24 weeks of treatment. Improved glucose control may encourage diabetic patients to conduct self-care activities and improve the quality of life. Based on the present study, we suggest that diabetes self-management, as well as consideration of comprehensive laboratory findings, may be important factor in regulating the quality of life in type 2 DM patients.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국해양정보통신학회 2008년도 춘계종합학술대회 A
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• pp.337-342
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• 2008

최근 들어 기존의 녹색 바탕 차량 번호판에서, 흰색 바탕의 신 차량 번호판으로 교체되고 있다. 하지만 아직 기존 차량 번호판이 신 차량 번호판으로 전면 교체되지 않아 두 번호판 모두 사용되고 있다. 따라서 주차관리 시스템, 속도위반, 신호 위반 등 무인 카메라를 이용한 시스템에서, 기존 차량 번호판과 신 차량 번호판의 특징에 맞는 인식 시스템이 요구된다. 본 논문에서는 이러한 문제를 해결하기 위해 기존 차량 번호판과 신 차량 번호판을 통합한, 지능형 차량 번호판 인식 시스템을 제안한다. 무인 카메라에서 획득된 차량 영상에서 번호판의 색상 정보를 이용하여 기존 차량 번호판과 신 차량 번호판을 구분한다. 기존 차량 번호판인 경우에는 HSI 컬러 공간을 이용하여 이진화를 적용하며, 신 차량 번호판인 경우에는 블록 이진화를 적용한다. 이진화된 영상을 대상으로 차량의 형태학적 특징을 이용하여 잡음을 제거한 후, 차량 번호판 영역을 추출한다. 추출된 차량 번호판 영역에 대해 Labeling 알고리즘을 적용하여 개별 문자를 추출한다. 추출된 개별 문자는 FCM 알고리즘을 적용하여 인식한다. 제안된 차량 번호판 추출 및 인식 방법의 성능을 평가하기 위해 160장의 기존 차량 영상과 100장의 신 차량 영상을 대상으로 실험한 결과, 제안된 차량 번호판 추출 및 인식 방법이 실험을 통해서 효율적인 것을 확인하였다.

• Journal of the Korean Society of Industry Convergence
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• 제7권3호
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• pp.273-279
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• 2004

There are several ways to solve parking problem in the downtown One of them is to manage parking efficiently, that is, to raise use-efficiency of parking place and to help drivers to select easily. When we manage the parking place m the block efficiently, It can prevent disproportion that some parking space is over capacity and the other parking one is under. It causes not only the disproportion of economic efficiency but also the congestion of local road. The precondition to manage parking efficiently is to analyse the parking characteristics. In this study we found out the characteristics of parking vehicles by analyzing the turnover per parking mesh and occupancy rate And we build up total D/B by collecting every information about parking space. We developed the Parking Management System by using GIS with D/B and digital map. The efficient Parking Management System is for convenience of drivers and efficient usage of parking space. And this system is also the basic study to be developed as the total Parking Management System by upgrading every information.

• Journal of Digital Contents Society
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• 제9권2호
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• pp.261-268
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• 2008

Recently, inn the ubiquitous home where a variety of home devices and sensors are inter-connected, various services can be provided through wired and wireless networks invisibly. The convenience of users can be maximized by using intelligent and adaptive interoperability technologies in the home. In this paper, it is designed u-apartment that connected parking system of intelligental form and medical service system based on USN environment with existing apartment. Intelligental form parking system is designed specific structure architecture for effective improvement of parking space and medical service system propose a design about health management of future. In this paper, we propose integrated u-apartment design with parking system and medical equipment using RFID system in ubiquitous environment.

• Journal of Internet Computing and Services
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• 제13권5호
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• pp.93-104
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• 2012

Significant advancements in technology enhanced the reliability of navigation systems that are in use today. The GPS is the most widely used technique for satellite-based location estimation. However, systems based on GPS can only be accurate in providing location data when there is a clear view of the satellites. This paper proposes a self-contained navigation system that does not depend on any tracking infrastructure. Using the built-in sensors of a smartphone and a self-contained map, we implemented an accurate car locator. Evaluation results show that our proposed system outperforms GPS in providing accurate car location assistance.

• Proceedings of the Korea Information Processing Society Conference
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• 한국정보처리학회 2018년도 추계학술발표대회
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• pp.733-735
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• 2018

최근의 차량 주차관리 시설, 출입통제가 필요한 장소 그리고 도로 방범카메라를 통한 단속 등 다양한 곳에서 차량 번호판 자동 인식 기술들이 활용되고 있다. 하지만 현재 사용되고 있는 LPR(License Plate Recognition) 시스템에는 많은 장비와 비용이 들어간다는 큰 단점이 존재한다. 본 논문에서는 하나의 컴퓨터와 최소의 카메라를 가지고 할 수 있는 기계학습을 통한 영상처리를 제안하려 한다. 먼저 딥러닝 프레임워크 중 하나인 YOLO(You Only Look Once) [4]를 활용하여 자동차의 번호판 부분의 영역을 검출하고 Grayscale를 통해 햇빛 또는 조명 등의 영향을 감소시켜 번호판의 특징을 보존시킨다. 전처리 작업이 끝난 후 번호판에서 숫자를 인식 하는 부분에서는 k-NN(k-Nearest Neighbor) 알고리즘을 사용하였으며 한글 문자 인식부분은 Template Matching을 이용하였다. 제안한 알고리즘을 사용하여 기존 LPR 시스템에서 획득한 차량이미지를 대상으로 시뮬레이션 한 결과 좋은 결과를 얻을 수 있어 향후 연구 방향의 시스템 확장성의 가능성을 발견할 수 있었다.

• Proceedings of the KIEE Conference
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• 대한전기학회 2001년도 하계학술대회 논문집 D
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• pp.2048-2050
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• 2001

기존의 생산관리 현황반, 각종 산업용 판넬의 Faul Indicator, 각종 기계의 상태표시, 엘리베이터 정보출력장치, 주차타워 안내표시, 버스 행선지 안내표시, 병원, 은행 등 각종 광고용에서 사용되는 정보표시장치를 휘도와 안정성이 우수한 40mm 3 Color LED Dot Matrix Module을 이용한 Message 표시장치로서, 각종 Panel 및 기계 장치에 부착되거나 단독 설치되어 Parallel 또는 Serial Port로 입력을 받아 그 입력에 해당되는 Message를 출력 하며 User에 의해 제작되는 Graphic과 Text 형태가 있으며 외부입력에 의해 선택되는 Text Message와 출력 형태는 User에 의해 제작되는 Program에 의해 출력되는 방식으로 구현하여 영문, 숫자는 물론 한글 및 한자 표현도 가능 하도록 하여, 문자의 크기가 5${\times}$7 LED Dot Matrix에 비해 상대적으로 크고 미려하여 현장에서 상황의 인지도를 높이고 ASC-II 및 KS-5601의 Hex Code 입력방식보다 일반사용자가 Programming 하기 쉬우며 Message를 Graphic Symbol형태 및 문자로 작성하여 Message출력 형태를 선택할 수 있는 Mode Programming방식을 적용해 사용자의 용이이성이 배가 되도륵 하여 비교 검토한 결과 사용에 있어 편리성을 입증할 수 있었다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• 제18권6호
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• pp.269-276
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• 2018

OCR(Optical Character Recognition) using computers has been developed for 20 years and applied to various fields such as parking management based on the recognition of license plates of cars. This technology was also used in the development of our smart OCR-based household ledger. In order to improve filling the purchase history into a smartphone based household account book, we can take pictures of receipts with the smarphone camera and automatically organize the purchase list. In this process, the recognition rate of the characters of the receipt image is not high enough with OCR technology. We could improve the rate by applying the image processing technology and adjusting the contrast of the receipt image. The rate improved from 89% to 92.5%.

• Journal of Advanced Technology Convergence
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• 제2권4호
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• pp.7-11
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• 2023

In this study, we presented a method to recognize vehicle license plates using CNN techniques. A vehicle plate is normally used for the official identification purposes by the authorities. Most regular Optical Character Recognition (OCR) techniques perform well in recognizing printed characters on documents but cannot make out the registration number on the number plates. Besides, the existing approaches to plate number detection require that the vehicle is stationary and not in motion. To address these challenges to number plate detection we make the following contributions. We create a database of captured vehicle number plate's images and recognize the number plate character using Convolutional Neural Networks. The results of this study can be usefully used in parking management systems and enforcement cameras.