• 전자공학회논문지B
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• 제30B권7호
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• pp.92-101
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• 1993

This paper describes algorithms to extract license plates in vehicle images. Conventional methods perform preprocessing on the entire vehicle image to produce the edge image and binarize it. Hough transform is applied to the binary image to find horizontal and vertical lines, and the license plate area is extracted using the charateristics of license plates (the boundary information of license plates). Problems with this approach are that real-time processing is not feasible due to long processing time and that the license plate area is not extracted when lighting is irregular such as at night or when the plate boundary does not show up in the image. This research uses the gray level transition characteristics of license plates to verify the digit area by examining the digit width and the gray level difference between the background area the digit area, and then extracts the plate area by testing the distance between the verified digits. This research solves the probelm of failure in extracting the license plates due to degraded plate boundary as in the conventional methods and resolves the provlem of the time requirement by processing in real time such that practical application is possible.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 추계학술대회
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• pp.848-850
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• 2014

본 논문에서는 이동 에드혹 네트워크(Mobile Ad hoc network: MANET)에서의 상황인식 기반의 스케쥴링 기법인 CSWC(Coverage Scheduling Weight-value Control) 알고리즘을 제안한다. 기존의 LEACH 알고리즘은 확률적 분포 함수에 의해 커버리지 영역 안에 존재 하는 클러스터 헤드노드를 선택하여 중계노드로 통신한다. 하지만 확률적 분포함수에 의해 선택된 헤드 노드가 커버리지 영역에서 전송거리 비율이 비균형으로 나뉘어 전송할 경우, 노드의 에너지 소모가 일정하지 않아 효율적으로 사용하지 못하는 경우가 발생한다. 따라서 본 논문에서는 최적의 커버리지 영역을 설정하여 유지하는 CSWC알고리즘을 제안한다. 본 논문에서 제안하는 알고리즘은 커버리지 영역이 비균형으로 설정되어 있을 경우, 커버러지 영역을 결정하는 홉 수를 증가시켜 최적의 커버리지 영역을 제공하는 알고리즘이다. 주어진 모의실험 환경에서 노드의 효율적인 커버리지 영역을 설정하여 네트워크의 최적화된 에너지 소모를 보여주고 있다.

• 전자공학회논문지B
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• 제33B권6호
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• pp.64-72
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• 1996

In this paper, we propose predictive motion estimatin algorithm which can predict motion without additional side information considering spatio-tempral correlatio of motion vector. This method performs motion prediction of current block using correlation of the motion vector for two spatially adjacent blocks and a temporally adjacent block. Form predicted motion, the position of searhc area is determined. Then in this searhc area, we estimate motion vector of current block using block matching algoirthm. Considering spatial an temporal correlation of motion vector, the proposed method can predict motion precisely much more. Especially when the motion of objects is rapid, this method can estimate motion more precisely without reducing block size or increasing search area. Futhrmore, the proposed method has computation time the same as conventional block matching algorithm. And as it predicts motion from adjacent blocks, it does not require additional side information for adjacent block. Computer simulation results show that motion estimation of proposed method is more precise than that of conventioanl method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권5호
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• pp.949-966
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• 2013

Recently, Wireless Body Area Network (WBAN) has promise to revolutionize human daily life. The need for multiple sensors and constant monitoring lead these systems to be energy hungry and expensive with short operating lifetimes. In this paper, we offer a review of existing work of WBAN and focus on energy-aware management in it. We emphasize that nodes computation, wireless communication, topology deployment and energy scavenging are main domains for making a long-lived WBAN. We study the popular power management technique Dynamic Voltage and Frequency Scaling (DVFS) and identify the impact of slack time in Dynamic Power Management (DPM), and finally propose an enhanced dynamic power management method to schedule scaled jobs at slack time with the goal of saving energy and keeping system reliability. Theoretical and experimental evaluations exhibit the effectiveness and efficiency of the proposed method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권10호
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• pp.4804-4822
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• 2017

Coverage problem is a research hot spot in directional sensor networks (DSNs). However, the major problem affecting the performance of the current coverage-enhancing strategies is that they just optimize the coverage of networks, but ignore the maximum number of sleep sensors to save more energy. Aiming to find an approximate optimal method that can cover maximum area with minimum number of active sensors, in this paper, a new scheduling algorithm based on learning automata is proposed to enhance area coverage, and shut off redundant sensors as many as possible. To evaluate the performance of the proposed algorithm, several experiments are conducted. Simulation results indicate that the proposed algorithm have effective performance in terms of coverage enhancement and sleeping sensors compared to the existing algorithms.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2011년도 제42회 하계학술대회
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• pp.178-179
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• 2011

The exchange of information with legacy systems is a main issue in the era of SMARTGRID. Because WAMAC(Wide Area Monitoring and Control) system has monitoring function, as well as control function, it is very necessary for WAMAC to exchange data and information with SCADA(Supervisory Control and Data Acquisition) / EMS(Energy Management System). IEC 61970 CIM(Common Information Model) is an abstract model that represents all the major objects in an electric utility enterprise typically involved in utility operations. In this paper, a proposal that adopting CIM to WAMAC model be submitted so that the integration of various legacy system and application for itself be able to be flexible.

• Spatial Information Research
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• 제6권1호
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• pp.35-45
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• 1998

본 연구에서는 녹지계획에 관련된 의사결정을 합리적으로 지원할 수 있요록 GIS(지리정보시스템)와 RS(원격탐사)를 이용하여 서울시 녹지관련 정보에 대한 기본적인 데이타베이스를 구축한 후 녹지 평가지표를 생태 및 환경가치, 이용가치, 사회적여건 가치로 구분 설정하였으며, 이를 이용하여 미시설공원에서의 개발 우선순위를 결정하였다. 또한 이러한 녹지 평가지표들을 서울시 녹지보존 등급부분을 위해서도 활용될 수 있다. 본 연구는 1997년 서울시정개발연구원ㅇ네서 수행한 녹지총량 관리방안 연구의 일부이다.

• 한국산업정보학회논문지
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• 제11권5호
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• pp.190-197
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• 2006

China has been aware of the urgent need of developing electronic and information industry in order to improve its productivity. Since 1991, IT industry has been one of the main factors to influence China's economic growth. In the results of the efforts to develop its IT industry, China has achieved average 25% yearly growth rate of IT manufacturing industry since 1991. We will take a look at haw the main IT products' performances was, how the role of IT industry was in China economy and in China's trade and how the prospect of China IT industry will be. However, we need to know that, depending an the different areas, the environment of the China's IT industry will be quite different. In China, the east coastal area has the better environment of technology, menpower, infrastructure, and fund for the development of IT industry and the IT industry of this area is very competitive, comparing with the middle and west area.

• 대한공간정보학회지
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• 제17권1호
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• pp.141-147
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• 2009

상점의 정보, 서비스업 등을 영위하기 위한 공간입지에 대한 정보(인구생태학적 변수, 사회생태학적 변수)의 탐색적 자료 분석을 위해 공간 특성분석이 필요하다. 따라서 본 연구에서는 지리적 공간상에서 공간객체간의 상호의존성과 상호작용과 통계적 상관분석을 이용하여 서비스업종간의 상관분석법을 제시하고자 하며, 또한 근린상권의 업종 간 상관관계분석의 도출을 통하여 공간특성에 대한 분석을 하기 위함이다.

• 한국컴퓨터정보학회논문지
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• 제20권12호
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• pp.29-36
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• 2015

In this paper, we propose the horizontal line detection using the Haar-like features and linear regression in infrared images. In the marine environment horizon image is very useful information on a variety of systems. In the proposed method Haar-like features it was noted that the standard deviation be calculated in real time on a static area. Based on the pixel position, calculating the standard deviation of the around area in real time and, if the reaction is to filter out the largest pixel can get the energy map of the area containing the straight horizontal line. In order to select a horizontal line of pixels from the energy map, we applied the linear regression, calculating a linear fit to the transverse horizontal line across the image to select the candidate optimal horizontal. The proposed method was carried out in a horizontal line detecting real infrared image experiment for day and night, it was confirmed the excellent detection results than the legacy methods.