• Title/Summary/Keyword: location data Sharing

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A Study on Efficient Friendly Forces Location Data Sharing on Battalion and Below

  • Kim, Hyung-Seok;Shin, Sang-Heon;Kim, Yong-Cheol;Lee, Jeong-Min
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.11
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    • pp.95-101
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    • 2018
  • In this paper, we propose an efficient friendly forces location data sharing algorithm in a troops using a low bandwidth radio. The future battlefield is a 'Network Centric Warfare' with a concept of identifying the position and power of the enemy and friendly forces and leading the battlefield to victory through proper links at the time of our need. One of the basic elements in the 'Network Centric Warfare' is to share friendly forces location data. The bandwidth and transmission rates of radio used in battalion are low. Nevertheless, we should share our locations data almost in real time for effective fighting in a war situation. This paper describes the efficient method of friendly forces location data sharing based on low bandwidth radio. In particular, the concept of 'network-centered warfare' is reflected in the troop below the battalion to present an integrated and efficient way to shared location data of friendly forces.

Site Selection of Carsharing Service by Spatial Analysis Method (공간분석기법을 이용한 Car-sharing 서비스 위치선정)

  • Do, Myungsik;Noh, Yun Seung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.12 no.6
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    • pp.22-28
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    • 2013
  • This study aims to propose the location selection method of car-sharing services in Daejeon Metropolitan city. In order to select locations for car-sharing, Daejoen area was divided in $500m{\times}500m$ cell size using GIS Arc/Info 10, and input factors which may affect car-sharing service were determined, and then each input factor was standardized for analysis. The weight for each input factor was determined through experts' survey and index of goodness of fit was estimated in each cell ($500m{\times}500m$ size) using AHP method. Also, This study proposed the method to select 30 service facility location using Location-allocation Model in Network Analysis module. The proposed method for the location selection of car-sharing service in this study can be used for preliminary data for initial car-sharing introduction. Henceforward, appropriate demand forecasting and economic evaluation for the location selection of car-sharing service are needed for the further study.

Partition-based Operator Sharing Scheme for Spatio-temporal Data Stream Processing (시공간 데이터 스트림 처리를 위한 영역 기반의 연산자 공유 기법)

  • Chung, Weon-Il;Kim, Young-Ki
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.12
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    • pp.5042-5048
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    • 2010
  • In ubiquitous environments, many continuous query processing techniques make use of operator network and sharing methods on continuous data stream generated from various sensors. Since similar continuous queries with the location information intensively occur in specific regions, we suggest a new operator sharing method based on grid partition for the spatial continuous query processing for location-based applications. Due to the proposed method shares moving objects by the given grid cell without sharing spatial operators individually, our approach can not only share spatial operators including similar conditions, but also increase the query processing performance and the utilization of memory by reducing the frequency of use of spatial operators.

Magnitude of Patient's Cost-sharing for Hospital Services in the National Health Insurance in Korea (의료보험 환자가 병원진료시 부담하는 본인부담 크기)

  • 김창엽;이진석;강길원;김용익
    • Health Policy and Management
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    • v.9 no.4
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    • pp.1-14
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    • 1999
  • The purpose of this study was to estimate the magnitude of patient's actual cost-sharing for hospital services in the National Health Insurance which has been estimated with only a few hospitals or limited number of patients. Also we aimed at analysis of factors influencing the magnitude. Sources of analyzed data were two databases. 1997 medical benefits record of the National Federation of Medical Insurance and 1997 Statistics for Hospital Management from the Korea Institute of Health Services Management(KIHM). We merged two databases and related records for 224 hospitals. based on the identification details of each hospital. The average percent of patients' cost-sharing was 51.7% of total hospital revenues from the insurance. with 40.3% of revenue in inpatient and 67.4% in outpatient. respectively. The contributing hospital factors to the magnitude of cost-sharing were size of hospitals. teaching status. location. number of employed physicians. etc. Larger and university hospital. urban location. and with more physicians were positively correlated with higher level of cost-sharing. Additionally, the higher the expenses of inpatient's treatment was, the higher the size of patient's cost-sharing was. These findings suggest that present level of patients' cost-sharing is quitely high and it is urgent to reduce the patient's cost-sharing to the reasonable level. It would be necessary to extend the coverage of insurance benefits and to develop policies focusing on larger hospitals and inpatient services.

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Design of Adaptive Retrieval System using XMDR based knowledge Sharing (지식 공유 기반의 XMDR을 이용한 적응형 검색 시스템 설계)

  • Hwang Chi-Gon;Jung Kye-Dong;Choi Young-Keun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.8B
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    • pp.716-729
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    • 2006
  • The information systems in the most enterprise environments are distributed locally and are comprised with various heterogeneous data sources, so that it is difficult to obtain necessary and integrated information for supporting user decision. For solving 'this problems efficiently, it provides uniform interface to users and constructed database systems between heterogeneous systems make a consistence each independence and need to provide transparency like one interface. This paper presents XMDR that consists of category, standard ontology, location ontology and knowledge base. Standard ontology solves heterogeneous problem about naming, attributes, relations in data expression. Location ontology is a mediator that connects each legacy systems. Knowledge base defines the relation for sharing glossary. Adaptive retrieve proposes integrated retrieve system through reflecting site weight by location ontology, information sharing of various forms of knowledge base and integration and propose conceptual domain model about how to share unstructured knowledge.

Planning Routes of Bicycle Lanes in Suwon City Using Big Data Analysis (빅데이터 분석을 통한 수원시 자전거 전용차로 도입 방안)

  • Kim, Suk Hee;Kim, Hyung Jun;Lee, Nam Il
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.1
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    • pp.45-56
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    • 2022
  • Recently, bicycle sharing system is introduced and the usage of shared bicycles is increasing in Suwon city. Despite the need to expand the bicycle road infrastructure, this is not the case. Therefore, this research attempts to propose a method for bicycle lane installation in Suwon city. For this, this research conducted location analysis based on the shared bicycle usage data and trip inducing facility data. Using location analysis results, appropriate routes for bicycle lanes are selected. As a result, two routes are selected. These routes have advantages that it is easy to connect with the existing bicycle roads or traffic inducing facilities and to install using the existing bicycle roads. However, these routes also have disadvantage that traffic congestion may occur due to the occupancy of the existing road space. It is expected that this research may contribute to expansion and maintenance of bicycle lane infrastructure, the bicycle and PM sharing service usage, implementation of sustainable urban transportation systems in Suwon city.

An Enhanced Data Utility Framework for Privacy-Preserving Location Data Collection

  • Jong Wook Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.6
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    • pp.69-76
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    • 2024
  • Recent advances in sensor and mobile technologies have made it possible to collect user location data. This location information is used as a valuable asset in various industries, resulting in increased demand for location data collection and sharing. However, because location data contains sensitive user information, indiscriminate collection can lead to privacy issues. Recently, geo-indistinguishability (Geo-I), a method of differential privacy, has been widely used to protect the privacy of location data. While Geo-I is powerful in effectively protecting users' locations, it poses a problem because the utility of the collected location data decreases due to data perturbation. Therefore, this paper proposes a method using Geo-I technology to effectively collect user location data while maintaining its data utility. The proposed method utilizes the prior distribution of users to improve the overall data utility, while protecting accurate location information. Experimental results using real data show that the proposed method significantly improves the usefulness of the collected data compared to existing methods.

The Design and Implementation of a Chatting System Sharing Paths (경로 공유 채팅 시스템의 설계 및 구현)

  • Kim, Dong-Hyun;Lee, Han-Bin;Ban, Chae-Hoon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.2
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    • pp.281-286
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    • 2017
  • SNS is a platformwhere users build a social relationship and share opinions and informations. To do these, it supports a text, an image and a video data. As it is possible to exploit the location data of a smart device, SNS tries to use the location data. However,since SNS does not support the coordinate data, it provides the restricted function sharing the image map instead of the vector map. In this paper, we propose a chatting systemsharing pathsto support the coordinate data on a classical SNS. On the proposed system, it is possible for usersjoined in a roomto watch a vector map of same area and exchange texts. If a user builds a path on the map, the system propagates the coordinate data of the generated path and the other users joined in the room watch the path immediately. The implemented chatting systemhasthe benefit to share the information related a map between users using coordinate data.

The content based standard data search technology under CALS integrated data environment (국방 CALS 통합 데이터 환경을 위한 내용 기반의 표준 데이터 검색 기술 개발)

  • Jeong, Seung-Uk;U, Hun-Sik
    • Journal of National Security and Military Science
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    • s.2
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    • pp.261-283
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    • 2004
  • To build up the military strength based on information oriented armed forces, the Korean ministry of national defense (MND) promotes the defense CALS (Continuous Acquisition and Life cycle Support) initiative for the reductions of acquisition times, improvements of system qualities, and reductions of costs. These defense CALS activities are the major component of the underlying mid and long term defense digitization program and the ultimate goal of program is to bring a quick victory by providing real-time battlefield intelligence and the economical operations of the military. The concept of defense CALS is to automate the acquisition and disposition of defense systems throughout their life cycle. For implementing defense CALS, the technology for exchange and sharing CALS standard data that is created once and used many times should be considered. In order to develop an efficient CALS information exchange and sharing system, it is required to integrate distributed and heterogeneous data sources and provide systematic search tools for those data. In this study, we developed a content based search engine technology which is essential for the construction of integrated data environments. The developed technology provides the environment of sharing the CALS standard data such as SGML(Standard Generalized Markup Language) and STEP(Standard for The Exchange of Product model data). Utilizing this technology, users can find and access distributed and heterogeneous data sources without knowing its actual location.

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Object-Size and Call-Site Tracing based Shared Memory Allocator for False Sharing Reduction in DSM Systems (분산 공유 메모리 시스템에서 거짓 공유를 줄이는 객체-크기 및 호출지-추적 기반 공유 메모리 할당 기법)

  • Lee, Jong-Woo;Park, Young-Ho;Yoon, Yong-Ik
    • Journal of Digital Contents Society
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    • v.9 no.1
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    • pp.77-86
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    • 2008
  • False sharing is a result of co-location of unrelated data in the same unit of memory coherency, and is one source of unnecessary overhead being of no help to keep the memory coherency in multiprocessor systems. Moreover, the damage caused by false sharing becomes large in proportion to the granularity of memory coherency. To reduce false sharing in page-based DSM systems, it is necessary to allocate unrelated data objects that have different access patterns into the separate shared pages. In this paper we propose sized and call-site tracing-based shared memory allocator, shortly SCSTallocator. SCSTallocator places each data object requested from the different call-sites into the separate shared pages, and at the same time places each data object that has different size into different shared pages. Consequently data objects that have the different call-site and different object size prohibited from being allocated to the same shared page. Our observations show that our SCSTallocator outperforms the existing dynamic shared memory allocators. By combining the two existing allocation technique, we can reduce a considerable amount of false sharing misses.

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