• Title/Summary/Keyword: local database

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Image Retrieval Using Histogram Refinement Based on Local Color Difference (지역 색차 기반의 히스토그램 정교화에 의한 영상 검색)

  • Kim, Min-KI
    • Journal of Korea Multimedia Society
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    • v.18 no.12
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    • pp.1453-1461
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    • 2015
  • Since digital images and videos are rapidly increasing in the internet with the spread of mobile computers and smartphones, research on image retrieval has gained tremendous momentum. Color, shape, and texture are major features used in image retrieval. Especially, color information has been widely used in image retrieval, because it is robust in translation, rotation, and a small change of camera view. This paper proposes a new method for histogram refinement based on local color difference. Firstly, the proposed method converts a RGB color image into a HSV color image. Secondly, it reduces the size of color space from 2563 to 32. It classifies pixels in the 32-color image into three groups according to the color difference between a central pixel and its neighbors in a 3x3 local region. Finally, it makes a color difference vector(CDV) representing three refined color histograms, then image retrieval is performed by the CDV matching. The experimental results using public image database show that the proposed method has higher retrieval accuracy than other conventional ones. They also show that the proposed method can be effectively applied to search low resolution images such as thumbnail images.

Face Recognition Based on the Combination of Enhanced Local Texture Feature and DBN under Complex Illumination Conditions

  • Li, Chen;Zhao, Shuai;Xiao, Ke;Wang, Yanjie
    • Journal of Information Processing Systems
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    • v.14 no.1
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    • pp.191-204
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    • 2018
  • To combat the adverse impact imposed by illumination variation in the face recognition process, an effective and feasible algorithm is proposed in this paper. Firstly, an enhanced local texture feature is presented by applying the central symmetric encode principle on the fused component images acquired from the wavelet decomposition. Then the proposed local texture features are combined with Deep Belief Network (DBN) to gain robust deep features of face images under severe illumination conditions. Abundant experiments with different test schemes are conducted on both CMU-PIE and Extended Yale-B databases which contain face images under various illumination condition. Compared with the DBN, LBP combined with DBN and CSLBP combined with DBN, our proposed method achieves the most satisfying recognition rate regardless of the database used, the test scheme adopted or the illumination condition encountered, especially for the face recognition under severe illumination variation.

A Study on the Establishment of the Inventory and Distribution Characteristics of Village Wetlands in Gongju-city, Korea (공주시 마을습지 인벤토리 구축 및 분포 특성 연구)

  • Park, Miok
    • Land and Housing Review
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    • v.11 no.4
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    • pp.67-74
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    • 2020
  • Despite its ecological importance of wetlands in our life, wetlands around cities and villages have been steadily disappearing. It is mainly due to either natural geological changes or man-made causes such as permitted land zone changes for the purpose to convert to agriculture land. This study aims to establish a comprehensive database of wetlands using GIS in a historic conservation city Gongju City. The systemic data management would enable to identify distribution of wetlands and their ecological attributes, and to estimate the conservation value of the wetlands. The data base will be able to use in strategic way to preserve the local ecological areas for local residents and tourists and manage the quality of wetlands in the historic and conservation city. For the purpose, it is suggested organising a wider network with not only local residents but local authorities and relevant stakeholders would be beneficial. This study also recommends that long-term strategic plan to preserve the existing wetlands. This study findings as a seminal case example can be used to apply to other geographical areas of the country and can contribute to create a national ecological nature map as well as evaluate the attributes and quality of natural ecosystem service of the region.

Analysis of the Influencing Factors of the Ordinance Enactment for Supporting Korean Medicine Infertility Treatment in the Metropolitan Area (수도권 한방난임치료지원 조례 제정의 정책 확산 영향 요인 분석)

  • Kim, Yun Hwan;Lim, Byungmook
    • Journal of Society of Preventive Korean Medicine
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    • v.25 no.3
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    • pp.117-124
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    • 2021
  • Objectives : The purpose of this study is to analyze the factors affecting the enactment of local municipalities' ordinance for supporting Korean Medicine infertility treatment in the metropolitan area. Methods : For Seoul, Incheon, and Gyeonggi Province, data on the enactment of Korean Medicine infertility treatment and socio-demographic data of the local municipalities were collected through the Enhanced Local laws and regulations Information System and on-line statistical database. Logistic regression analysis was performed to analyze the factors affecting the enactment of the ordinance, The enactment of the ordinance was dependent variable, and the budgeting of local municipalities, the number of population, the number of births, the number of Korean Medicine doctors, and the total fertility rate were used as independent variables. Results : Up to 2000, the ordinances for supporting Korean Medicine infertility treatment were enacted in 16 local municipalities and the budget for that was supported by 18 local municipalities. Regarding the effect on the enactment of the ordinances, it was found that budgeting of Korean Medicine infertility treatment had a positive (+) effect, and the metropolitan government's budgeting and the total fertility rate had a negative (-) effect. Conclusions : This study suggests that the ordinance for Korean Medicine infertility treatment is a policy tool derived based on the problem of low fertility faced by each local municipality rather than the political influence of health provider's groups.

An Web-based Mapping by Constructing Database of Geographical Names (지명 데이터베이스 구축을 통한 웹지도화 방안)

  • Kim, Nam-Shin
    • Journal of the Korean association of regional geographers
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    • v.16 no.4
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    • pp.428-439
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    • 2010
  • Map of geographical names can give us information for understanding of region because geographical name reflects regional perception of human. This study aimed to make an web-based map by constructing database of geographical names. Main contents carried out research on methods for classification of geographical names, database construction, and mapping on the website. Geographical name classified into four categories of the physical geography, culture and historical geography, economic geography, and the other and also, 18 sub-categories by classification criteria. Geographical name designed to input by collecting geographical names from paper-based maps and vernacular place names only known to the local region. Fields of database consisted of address, coordinates, geographical name(hangeul, hanja), classification, explanation, photographs. Map of geographical names can be represented with regional geographical information. The result of research is expected to offer information for distribution of geographical names as well as regional interpretation.

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A Cache Consistency Control for B-Tree Indices in a Database Sharing System (데이타베이스 공유 시스템에서 B-트리 인덱스를 위한 캐쉬 일관성 제어)

  • On, Gyeong-O;Jo, Haeng-Rae
    • The KIPS Transactions:PartD
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    • v.8D no.5
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    • pp.593-604
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    • 2001
  • A database sharing system (DSS) refers to a system for high performance transaction processing. In the DSS, the processing nodes are coupled via a high speed network and share a common database at the disk level. Each node has a local memory and a separate copy of operating system. To reduce the number of disk accesses, the node caches data pages and index pages in its memory buffer. In general, B-tree index pages are accessed more often and thus cached at more processing nodes, than their corresponding data pages. There are also complicated operations in the B-tree such as Fetch, Fetch Next, Insertion and Deletion. Therefore, an efficient cache consistency scheme supporting high level concurrency is required. In this paper, we propose cache consistency schemes using identifiers of index pages and page_LSN of leaf page. The propose schemes can improve the system throughput by reducing the required message traffic between nodes and index re-traversal.

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Utilizing public data to promote renewable energy supply -Focusing on geothermal energy related data- (신재생에너지 보급 활성화를 위한 공공데이터 활용 방안 -지열에너지 연관 데이터를 중심으로-)

  • Gim, Yu-Seung;Ryu, Hyung-Kyou;Choi, Seung-Hyuck
    • Journal of the Korea Convergence Society
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    • v.9 no.11
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    • pp.253-262
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    • 2018
  • Recently, the energy industry is implementing renewable energy supply policy to reduce energy consumption. The purpose of this study is to build a database that can help promote the supply of geothermal energy system to prepare for the increase of renewable energy demand and to develop a method to evaluate the possibility of geothermal energy system installation by using database information. The data used in the study was reliable using open data provided by national agencies. We obtained information necessary for the possibility of geothermal energy system installation, constructed a dedicated database, and studied the method of calculating the geothermal well capacity by using the database information. In the future, this study will establish a local environmental evaluation standard and add information on other renewable energy to contribute to the activation of renewable energy supply.

Geohashed Spatial Index Method for a Location-Aware WBAN Data Monitoring System Based on NoSQL

  • Li, Yan;Kim, Dongho;Shin, Byeong-Seok
    • Journal of Information Processing Systems
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    • v.12 no.2
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    • pp.263-274
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    • 2016
  • The exceptional development of electronic device technology, the miniaturization of mobile devices, and the development of telecommunication technology has made it possible to monitor human biometric data anywhere and anytime by using different types of wearable or embedded sensors. In daily life, mobile devices can collect wireless body area network (WBAN) data, and the co-collected location data is also important for disease analysis. In order to efficiently analyze WBAN data, including location information and support medical analysis services, we propose a geohash-based spatial index method for a location-aware WBAN data monitoring system on the NoSQL database system, which uses an R-tree-based global tree to organize the real-time location data of a patient and a B-tree-based local tree to manage historical data. This type of spatial index method is a support cloud-based location-aware WBAN data monitoring system. In order to evaluate the proposed method, we built a system that can support a JavaScript Object Notation (JSON) and Binary JSON (BSON) document data on mobile gateway devices. The proposed spatial index method can efficiently process location-based queries for medical signal monitoring. In order to evaluate our index method, we simulated a small system on MongoDB with our proposed index method, which is a document-based NoSQL database system, and evaluated its performance.

Accuracy Evaluation and Terrain Model Automation of Reservoir Using Unmanned Aerial Vehicle System (무인항공시스템을 활용한 저수지 지형모델 생성 및 정확도 평가)

  • Kim, Jungmeyon;Park, Sungsik;Kim, Jaehwi;Ahn, Seungwoo;Park, Sungyong;Kim, Yongseong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.59 no.2
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    • pp.57-67
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    • 2017
  • This study examines methods for creating terrain models of reservoirs and techniques for verifying the accuracy. Such methods and techniques use unmanned aerial vehicles which are capable of capturing high-resolution images repetitively, are highly economic, and capable of surveying wide areas. In addition, this study suggests methods of acquiring data for reservoir safety management, the methods which also employ the unmanned aerial vehicles. Therefore, this study helps solving problems that can arise when National Disaster Management System rebuilds a reservoir management database, such as a shortage of local government manpower. This study also contributes to providing element technology necessary for advancing the database.

GIS 데이터베이스를 이용한 서울시 1/5,000 수문지질도 작성방안연구

  • 김윤종;이석민;원종석
    • Spatial Information Research
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    • v.8 no.1
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    • pp.101-116
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    • 2000
  • Seoul Metropolitan Government(SMG) as well as the other local governments should have a role in managing groundwater according to the Groundwater Law. As a guidance of the management and control of groundwater use, this study emphasizes the necessity of the construction of 1 ; 5,000 hydrogeological maps and proposes possble usages of the maps. As expected to be a part of the groundwater GIS database constructed by SMG, the maps can be used as base maps to facilitate the whole processes related to the groundwater development and preservation. For the purpose of the construction of the 1 ; 5,000 hydrogelogical GIS database, we develop the classification system of the hydro-geological entities and their attributes.

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