• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2009년도 춘계학술발표대회
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• pp.834-837
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• 2009

There is a growing need for ad-hoc analysis of extremely large data sets, especially at e-Commerce companies which depend on recommender application. Nowadays, as the number of e-Commerce web pages grow to a tremendous proportion; vertical recommender services can help customers to find what they need. Recommender application is one of the reasons for e-Commerce success in today's world. Compared with general e-Commerce recommender application, obviously, general e-Commerce recommender application's processing scope is greatly narrowed down. MapReduce is emerging as an important programming model for large-scale data-parallel applications such as web indexing, data mining, and scientific simulation. The objective of this paper is to explore MapReduce framework for the e-Commerce recommender application on major general and dedicated link analysis for e-Commerce recommender application, and thus the responding time has been decreased and the recommender application's accuracy has been improved.

• 대한원격탐사학회지
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• 제19권1호
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• pp.71-80
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• 2003

In this Paper, we Propose web-based Media GIS architecture using 3D geographical database and GPS-related data resulted from 45-Van. We introduce a novel interoperable geographical data service concept; so-called, Virtual World Mapping (VWM) that can map 3D graphic world with real-world video. Our proposed method can easily retrieve geographical information and attributes to reconstruct 3D virtual space according to certain frame in video sequences. Our proposed system architecture also has an advantage that can provide geographical information service with video stream without any image processing procedures. In addition to, describing the details of our components, we present a Media GIS web service system by using GeoVideoServer, which performs VWM technique.

• 한국측량학회지
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• 제29권6호
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• pp.631-639
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• 2011

현행 종이어장도는 종이 지도의 노후화는 물론 다양한 좌표계와 좌표 표현 방법을 가지고 있어 활용에 문제가 발생하고 있다. 본 연구에서는 전라남도에서 어업면허권의 공부로 사용 중인 어업권 자료를 대상으로 하여 어장기본도를 전산화한 후 세계측지계로 변환하여 위치정확도를 분석하였다. 연구대상 지역인 전라남도 내 어업권자료의 수면 위치 및 구역도와 어장연락도에 사용되던 다양한 좌표계 표현 방식을 세계측지계 기준으로 통일하고, 지역에 따라 각각 다른 2가지 원점(서부원점, 중부원점)을 적용하여 표기하는 방식도 향후 지역적인 확장성 및 통일성을 고려하여 전라남도 전 연안을 하나의 원점을 사용하였다. 세계측지계로 변환된 어장기본도의 정확도를 DGPS 측량을 통해 확인하였다. 연구결과 RMSE가 최소 4.62m(영광해역)에서 최대 17.47m (장흥해역) 까지 발생하는 것을 알 수 있었고, 전라남도 전체의 평균 오차는 11.97m로 축척 1/25,000 수치지형도의 정확도를 확보한 것을 확인하였다.

• 대한지리학회지
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• 제43권3호
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• pp.375-391
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• 2008

본 논문은 웹2.0과 지리공간 웹의 개념을 중심으로 빠르게 변화하고 있는 정보환경의 변화 동향을 분석하고, 지리학연구에서 이들이 주는 시사점이 무엇인지를 고찰해보고자 하였다. 세계적인 IT업체들이 전 세계를 포함하는 인터넷 지도를 제공하고, 인터넷 지도 기반의 매쉬업이 다양해지면서 지리학 연구에 있어 이들을 지역연구의 기초자료로 활용하고, 한편으로는 지역연구에 있어 전문가들에 의한 시각뿐 아니라 일반인들에 의한 협업지성을 활용해야 할 필요가 증대되고 있음을 알 수 있었다. 그러나 상대적으로 국내에서는 인터넷 지도기반 매쉬업이 매우 미흡한 실정으로 관련기술의 연구도 필요한 것으로 판단되었다. 예를 들면 사용자들의 정보를 인터넷지도에 위치시킬 수 있는 지오코딩 관련기술, 인터넷에 분산되어 있는 다양한 정보 중에 지리공간적 속성 추출이 가능한 정보를 쉽게 인터넷 지도와 결합시킬 수 있는 기술, 매쉬업된 정보를 보다 효율적으로 전달할 수 있는 기술 등의 연구가 필요하다.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2007년도 춘계학술발표회 논문집
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• pp.295-299
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• 2007

Today, ubiquitous technology (e.g. computers or networked devices pervade everywhere we are) has enlarged by great advancement of information and communication technologies. If ubiquitous technologies is applied to, innovation of spatial information technology is expected. traditional spatial information technologies such as survey, GIS, GPS, LBS, and RS and ubiquitous technology gradual1y have been converged. The aim of this study is to create shared visions in spatial information technologies by scenario based roadmapping. So, we surveyed the state of the art in main spatial information technologies, market status and patent map. Consequently, prospects of spatial information technologies is suggested. The aim of 1st and 2nd NGIS project focused on map supplier was to develop digital map(e.g. framework data, various thematic map). As a result, the best technology of digital mapping is achieved in the world. But, there is not enough to develop GIS and LBS solution. Current market in GIS S/W and Telematics is about 384billon won and 250billion won. a patent is applied in the order, like a USA(1571case, 47%), Japan(883case, 26%), EU(478case, 14%), Korea(446case, 13%). In the future, spatial information technology fused on ubiquitous technology will be focused on user's demand and developing convenience context. The developing target will be realtime monitoring of 3D spatial data based on high resolution coordinate system, sharing and supplying multi-sensor data considered users demand, location service by ubiquitous technologies.

• 한국인터넷방송통신학회논문지
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• 제11권3호
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• pp.83-91
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• 2011

본 논문에서 최근 다양한 로봇에 기존에 개발된 소프트웨어를 쉽게 적용하기 위한 플랫폼 개발에 기여하고 있는데, 국내에서 개발한 지능형로봇 개발을 위한 공통기반 플랫폼(OPRoS)에서 동작하는 3차원 물체 인식 컴포넌트 개발한 내용을 기술하였다. 컴포넌트 구성 내용과 3차원 공간 인식을 위해 사용한 기존 시각차 맵과 깊이 맵에 대한 알고리즘에 대한 언급을 했으며, 또한 시각차 맵을 만들기 위해 스테레오 매칭 방법과 블럭 매칭 방법을 표현했다. 기존 알고리즘으로 만들어진 컴포넌트는 OPRoS가 탑재된 컴퓨터에서 동작을 시켜 실험을 하였다.

• IEIE Transactions on Smart Processing and Computing
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• 제5권5호
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• pp.327-330
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• 2016

Currently, the world's elderly population continues to grow at a dramatic rate. As the number of senior citizens increases, detection of someone falling has attracted increasing attention for visual surveillance systems. This paper presents a novel fall-detection algorithm using motion estimation and an integrated spatiotemporal energy map of the object region. The proposed method first extracts a human region using a background subtraction method. Next, we applied an optical flow algorithm to estimate motion vectors, and an energy map is generated by accumulating the detected human region for a certain period of time. We can then detect a fall using k-nearest neighbor (kNN) classification with the previously estimated motion information and energy map. The experimental results show that the proposed algorithm can effectively detect someone falling in any direction, including at an angle parallel to the camera's optical axis.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권5호
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• pp.1881-1903
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• 2015

With the fast-developing of mobile terminals, positioning techniques based on fingerprinting method draws attention from many researchers even world famous companies. To conquer some shortcomings of the existing fingerprinting systems and further improve its performance, we propose a radio map building and updating technique, which is able to customize the spatial and temporal dependency of radio maps. The method includes indoor propagation and penetration modeling and the analysis of human traffic. Based on the combination of Ray-Tracing Algorithm, Finite-Different Time-Domain and Rough Set Theory, the approach of indoor propagation modeling accurately represents the spatial dependency of the radio map. In terms of temporal dependency, we specifically study the factor of moving people in the interest area. With measurement and statistics, the factor of human traffic is introduced as the temporal updating component. We improve our existing indoor positioning system with the proposed building and updating method, and compare the localization accuracy. The results show that the enhanced system can conquer the influence caused by moving people, and maintain the confidence probability stable during week, which enhance the actual availability and robustness of fingerprinting-based indoor positioning system.

• 반도체디스플레이기술학회지
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• 제13권2호
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• pp.23-28
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• 2014

For the reconstruction of three-dimensional (3D) shape of microscopic objects through shape from focus (SFF) methods, usually a single focus measure operator is employed. However, it is difficult to compute accurate depth map using a single focus measure due to different textures, light conditions and arbitrary object surfaces. Moreover, real images with diverse types of illuminations and contrasts lead to the erroneous depth map estimation through a single focus measure. In order to get better focus measurements and depth map, we have combined focus measure operators by using genetic algorithm. The resultant focus measure is obtained by weighted sum of the output of various focus measure operators. Optimal weights are obtained using genetic algorithm. Finally, depth map is obtained from the refined focus volume. The performance of the developed method is then evaluated by using both the synthetic and real world image sequences. The experimental results show that the proposed method is more effective in computing accurate depth maps as compared to the existing SFF methods.

• Smart Structures and Systems
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• 제29권6호
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• pp.777-783
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• 2022

Even though several deep learning-based methods have been applied in the field of acoustic source localization, the previous works have only been conducted using the two-dimensional representation of the beamforming maps, particularly with the planar array system. While the acoustic sources are more required to be localized in a spherical microphone array system considering that we live and hear in the 3D world, the conventional 2D equirectangular map of the spherical beamforming map is highly vulnerable to the distortion that occurs when the 3D map is projected to the 2D space. In this study, a 3D deep learning approach is proposed to fulfill accurate source localization via distortion-free 3D representation. A target function is first proposed to obtain 3D source distribution maps that can represent multiple sources' positional and strength information. While the proposed target map expands the source localization task into a point-wise prediction task, a PointNet-based deep neural network is developed to precisely estimate the multiple sources' positions and strength information. While the proposed model's localization performance is evaluated, it is shown that the proposed method can achieve improved localization results from both quantitative and qualitative perspectives.