• International journal of advanced smart convergence
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• 제5권2호
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• pp.59-65
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• 2016

With the recent growth in cloud computing, big data processing and collaboration between businesses are emerging as new paradigms in the IT industry. In an environment where a large amount of data is generated in real time, such as SNS, big data processing techniques are useful in extracting the valid data. MapReduce is a good example of such a programming model used in big data extraction. With the growing collaboration between companies, problems of duplication and heterogeneity among data due to the integration of old and new information storage systems have arisen. These problems arise because of the differences in existing databases across the various companies. However, these problems can be negated by implementing the MapReduce technique. This paper proposes a collaboration system based on Database as a Service, or DBaaS, to solve problems in data integration for collaboration between companies. The proposed system can reduce the overhead in data integration, while being applied to structured and unstructured data.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2005년도 하계학술대회
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• pp.417-421
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• 2005

In the recent digital communication systems, the performance of Turbo Code using the error correction coding depends on the interleaver influencing the free distance determination and the recursive decoding algorithms that is executed in the turbo decoder. However, performance depends on the interleaver depth that needs many delays over the reception process. Moreover, turbo code has been known as the robust coding methods with the confidence over the fading channel. International Telecommunication Union(ITU) has recently adopted it as the standardization of the channel coding over the third generation mobile communications(IMT-2000). Therefore, in this paper, we proposed the interleaver that has the better performance than existing block interleaver, and modified turbo decoder that has the parallel concatenated structure using MAP algorithm. In the real-time voice and video service over third generation mobile communications, the performance of the proposed two methods was analyzed and compared with the existing methods by computer simulation in terms of reduced decoding delay using the variable decoding method over AWGN and fading channels for CDMA environments.

• 대기
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• 제25권2호
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• pp.339-351
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• 2015

The purpose of this study is for the fundamental understandings about building morphological parameters and aerodynamic roughness parameters of Seoul, Korea using the detailed urban geographic information datasets. Applied roughness parameter calculations are based on a digital map of buildings with lot area polygons. The quality of the developed roughness length ($z_0$) of Seoul was evaluated with densely installed 107 automatic weather stations. The correlation coefficient results between averaged wind speeds of AWS data and averaged $z_0$ is -0.303 in night and -0.398 in day (200 m radii circles case). Further $z_0$ enhancement should follow by considering other surface features such as high tree and orography of Seoul. However, this study would meet the needs to for local- or meso-scale meteorological modeling applications of Seoul. However, further studies would require for enhancing the $z_0$ applications of Seoul.

• Journal of Multimedia Information System
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• 제7권1호
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• pp.11-16
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• 2020

Deep Learning has become the most important technology in the field of artificial intelligence machine learning, with its high performance overwhelming existing methods in various applications. In this paper, an interactive window service based on object recognition technology is proposed. The main goal is to implement an object recognition technology using this deep learning technology to remove the existing eye tracking technology, which requires users to wear eye tracking devices themselves, and to implement an eye tracking technology that uses only usual cameras to track users' eye. We design an interactive system based on efficient eye detection and pupil tracking method that can verify the user's eye movement. To estimate the view-direction of user's eye, we initialize to make the reference (origin) coordinate. Then the view direction is estimated from the extracted eye pupils from the origin coordinate. Also, we propose a blink detection technique based on the eye apply ratio (EAR). With the extracted view direction and eye action, we provide some augmented information of interest without the existing complex and expensive eye-tracking systems with various service topics and situations. For verification, the user guiding service is implemented as a proto-type model with the school map to inform the location information of the desired location or building.

• Spatial Information Research
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• 제12권2호
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• pp.193-209
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• 2004

본 연구는 응급환자의 의료기관 이용 현황자료를 토대로 GIS를 이용하여 응급의료 진료권을 분석하는데 목적을 두었다. 진료권을 분석하기 위해 6개 응급의료센터를 사례로 선정하여 2003년 9-11월까지 내원한 환자의 주소 자료를 수집하였다. 해당 응급의료기관을 중심으로 하여 거리에 따른 내원환자의 분포 비율을 산출하여 진료권을 분석한 결과 해당 응급의료센터와 인접한 지역에 거주하고 있는 환자의 비율이 가장 높게 나타났다. 그러나 6개 응급의료센터의 1차 진료권의 범위는 상당한 차이를 나타내었는데, 이는 병상 규모 뿐만 아니라 인지도와 환자들의 선호도 등에 따라 응급의료센터의 진료권역이 달라짐을 말해준다. 본 연구에서는 서울시 응급의료 서비스의 공급 표면도를 구축하는 방법을 모색하였다. 32개 응급의료센터로 부터 거리에 따른 내원환자의 분포 비율을 가중치로 부여하여 거리조락에 따른 공급력 수준을 나타내는 개개의 커버리지를 구축한 후, 이를 지도 대수 연산을 통해 합성하였다. 이렇게 구축된 응급의료 서비스의 공급 표면도를 통해 응급의료 서비스 공급 수준은 공간상에서 상당한 차이가 나타나는 것으로 파악되었다.

• 한국측량학회지
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• 제34권2호
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• pp.207-215
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• 2016

The demand for spatial data service technologies is increasing lately with the development of realistic 3D spatial information services and ICT (Information and Communication Technology). Research is being conducted on the real-time provision of spatial data services through a variety of mobile and Web-based contents. Big data or cloud computing can be presented as alternatives to the construction of spatial data for the effective use of large volumes of data. In this paper, the process of building HLM (Hyper Live Map) using multi-source data to acquire stereo CCTV and other various data is presented and a big data service architecture design is proposed for the use of flexible and scalable cloud computing to handle big data created by users through such media as social network services and black boxes. The provision of spatial data services in real time using big data and cloud computing will enable us to implement navigation systems, vehicle augmented reality, real-time 3D spatial information, and single picture based positioning above the single GPS level using low-cost image-based position recognition technology in the future. Furthermore, Big Data and Cloud Computing are also used for data collection and provision in U-City and Smart-City environment as well, and the big data service architecture will provide users with information in real time.

• 전자통신동향분석
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• 제33권4호
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• pp.70-80
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• 2018

Drones are now widely used in civilian applications such as filming, leisure, agricultural control, monitoring, and the generation of 3D-spatial information, deviating only from military drones. In the field of logistics, prototypes are emerging in the area of logistics transportation, and to develop a future transportation service under the name of a drone tax, each country is introducing its first flight results using its own unique drones. In this paper, we review the domestic and overseas trends of drone delivery service technology, which requires various capabilities such as automatic flight, and review the related core technologies. We then propose the flight capability and road map of a drone delivery service according to the detailed conditions such as the flight area, visibility, and flight method. Additionally, in connection with the postal processing of the Korea Post Office, which would be a main demand for this type of service, we describe a method for realizing a drone delivery service based on the structure, scenario, and deployment of the drone delivery system.

• 한국공간정보시스템학회:학술대회논문집
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• 한국공간정보시스템학회 2007년도 GIS 공동춘계학술대회 논문집
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• pp.447-452
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• 2007

Where 2.0은 Google Map, Yahoo! Map 등이 공개한 API를 이용하여 다양한 교통, 환경, 범죄, 지역정보 등의 정보 및 개인정보를 혼합하여 지도 위에 시각화하거나, 사용자와 상호작용할 수 있는 웹(web) 서비스가 일반화되는 현상을 의미한다. 이에 본 연구에서는 Where 2.0 서비스를 이용한 재해지도의 작성 가능성을 제안한다. 재해지도 작성을 위해 기 구축된 건축물정보, 도로정보, 소방시설물정보 등의 공공자료를 바탕으로 재해지도를 작성함으로써, 재난을 예방관리하고 재해 발생 시에는 대피 등에 활용하며, 공공정보의 디지털화 및 기 구축된 공공정보의 이용 활성화에도 기여할 수 있다. 또한 최근 웹 2.0 시대 매쉬업(mash up)과 같은 기술을 이용하여 재난정보를 새로운 방식으로 제공할 수 있는 가능성을 검토하였다.

• 전자공학회논문지A
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• 제28A권10호
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• pp.782-790
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• 1991

In this paper, we implement the function of the IEEE802.2LLC(logical link control) sublayer one of the 7layers in MAP(manufacturing automation protocol), a standard communication protocol for manufacturing automation. With the assembly language we designed the class 3 function based on the IEEE standards and verified on the network adaptor hardware. In this experiment, we tested the function using the simplified variables considering that the retransmission value was chosen to be 1 and the life-time of the transmission variable infinite. According to the result of the service procedures, we confirmed that user data were transmitted to the corresponding station without any error.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2018년도 학술발표회
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• pp.376-376
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• 2018

수재해 관련 정보를 수집하기 위한 주요 소스로서 위성 정보가 활용되고 있다. 본 연구에서는 그 중 NASA SEDAC과 UNISDR(United Nations International Strategy for Disaster Reduction)의 Global Risk Data Platform, UNESCO의 IHP-WINS를 대상으로 메타정보를 구축하는 [글로벌(위성기반) 수재해 관련정보 수집체계]를 구성하였다. 이때 메타정보를 수신/처리하는 역할의 하비스터는 OGC(Open Geospatial Consortium) 표준 WMS(Web Map Service)서비스의 필수 Operation인 GetCapabilities를 통하여 ISO GML을 획득한 후 이를 처리하도록 구성함으로써 여타표준 준수 DataSource에 대한 적응성을 확보하였다. 수집된 메타데이터를 통하여 검색된 정보는 표준 Map Service를 통하여 구글 지도 기반의 시계열 수재해 주제도 정보 서비스와 WebGL기반 3D 수재해 주제도 서비스로 각각 구성되도록 설계하였다. 국내 수재해 현장정보 수집 체계에 있어서는 사진을 포함한 시민의 현장 정보가 지오태깅기술과 동반되어 수재해 플랫폼으로 업로드 되면, 수집된 시계열 정보는 주제별 카테고리로 그룹화 된 후 클러스터링 가시화 기법으로 지도 공간상에 표출되도록 구성하였다. 이때 공신력 있는 공공 데이터(Data.go.kr)의 대피소 등 관련 시설 정보를 동시에 매핑하여 융합서비스 하도록 모색하였다. 본 연구는 전반적으로 웹서비스를 지향하며 전문가, 기관(부처), 교육기관으로 구분된 서비스를 구상하고 있다.