• Title/Summary/Keyword: Information map

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Implementation of the DMM System for Flight Information Visualization (비행 정보 시각화를 위한 DMM 시스템의 구현)

  • Hur, Hwa Ra;Park, Myeong Chul
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.7 no.3
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    • pp.115-121
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    • 2011
  • The flight information visualization of the aircraft is the system which is widely used to the threat against low altitude tasks and terrain altitude. But, it is difficult to implement the system because of restrictions that GPS data and huge geographic information should be stored. In this paper, it proposes economic DMM (Digital Moving Map) system for flight information visualization from open-source-base. First, the flight information is transferred from X-Plane through UDP and then demonstrated on the DMM system. In the proposed DMM system, flight information is visualized on the map information downloaded from an ArcGIS Map server using the mapping data between the present altitude of the aircraft and the terrain altitude. The result of this paper could be used an economic tool in the field of flight information visualization and the game algorithm research.

Implementation of Tile Searching and Indexing Management Algorithms for Mobile GIS Performance Enhancement

  • Lee, Kang-Won;Choi, Jin-Young
    • Journal of Internet of Things and Convergence
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    • v.1 no.1
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    • pp.11-19
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    • 2015
  • The mobile and ubiquitous environment is experiencing a rapid development of information and communications technology as it provides an ever increasing flow of information. Particularly, GIS is now widely applied in daily life due to its high accuracy and functionality. GIS information is utilized through the tiling method, which divides and manages large-scale map information. The tiling method manages map information and additional information to allow overlay, so as to facilitate quick access to tiled data. Unlike past studies, this paper proposes a new architecture and algorithms for tile searching and indexing management to optimize map information and additional information for GIS mobile applications. Since this involves the processing of large-scale information and continuous information changes, information is clustered for rapid processing. In addition, data size is minimized to overcome the constrained performance associated with mobile devices. Our system has been implemented in actual services, leading to a twofold increase in performance in terms of processing speed and mobile bandwidth.

Efficient Method to Implement Max-Log-MAP Algorithm: Parallel SOVA

  • Lee, Chang-Woo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.6C
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    • pp.438-443
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    • 2008
  • The efficient method to implement the Max-Log-MAP algorithm is proposed by modifying the conventional algorithm. It is called a parallel soft output Viterbi algorithm (SOVA) and the rigorous proof is given for the equivalence between the Max-Log-MAP algorithm and the parallel SOVA. The parallel SOVA is compared with the conventional algorithms and we show that it is an efficient algorithm implementing the modified SOVA in parallel.

Development of PRe-processor for Hydrologic Geographic Information System (지리정보시스템을 이용한 수문모형의 전처리시스템 개발)

  • 전종안;박승우;강문성;김상민
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 1999.10c
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    • pp.493-498
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    • 1999
  • To extract hydrologic information more easily , the pre-processor for hydrologic model using Geographic Information System was developed . This model was applied to the Balan-reservoir watershed which is located at the southwest of Suwon. For estimation SCS curve number, landuse map and hydrologic soil group map were collected from digital map and reconnaissance soil map respectively. The estimated curve number from the GIS technique was 73.

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Incremental MapReduce of atypical Big Data Processing in Mobile Game (모바일게임에 적용 가능한 비정형 Big Data 처리를 위한 Incremental MapReduce)

  • Park, Sung-Joon;Kim, Jung-Woong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.04a
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    • pp.301-304
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    • 2014
  • 비정형 게임 Big Data에서 고효율 정보를 추출하고, 신뢰 할 수 있는 클러스터 게임서버 환경을 위한 병렬 처리를 위해 MapReduce를 사용한다. 본 논문에서는 빈번하게 입력되는 신규 게임데이터 처리를 위해 함수 Demap을 사용하는 Incremental MapReduce를 적용하여 불필요한 중간 값 저장과 재계산 없이 점차적으로 MapReduce 함수를 실행한다.

Digital Chaotic Communication System Based on CDSK Modulation (CDSK 방식의 디지털 카오스 통신 시스템)

  • Bok, Junyeong;Ryu, Heung-Gyoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.6
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    • pp.479-485
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    • 2013
  • Recently, interest for wireless communication technology with improved security and low eavesdropping probability is increasing rapidly recognizing that information security is an important. Chaos signal can be used encode information efficiently due to irregular phenomena. Chaotic signal is very sensitive to the initial condition. Chaos signal is difficult to detect the signal if you do not know the initial conditions. Also, chaotic signal has robustness to multipath interference. In this paper, we evaluate the performance of correlation delay shift keying (CDSK) modulation with different chaotic map such as Tent map, Logistic map, Henon map, and Bernoulli shift map. Also, we analyze the BER performance depending on the selection of spreading factor (SF) in CDSK. Through the theoretical analyses and simulations, it is confirmed that Henon map has better BER performance than the other three chaotic maps when spreading factor is 70.

Increasing the SLAM performance by integrating the grid-topology based hybrid map and the adaptive control method (격자위상혼합지도방식과 적응제어 알고리즘을 이용한 SLAM 성능 향상)

  • Kim, Soo-Hyun;Yang, Tae-Kyu
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.8
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    • pp.1605-1614
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    • 2009
  • The technique of simultaneous localization and mapping is the most important research topic in mobile robotics. In the process of building a map in its available memory, the robot memorizes environmental information on the plane of grid or topology. Several approaches about this technique have been presented so far, but most of them use mapping technique as either grid-based map or topology-based map. In this paper we propose a frame of solving the SLAM problem of linking map covering, map building, localizing, path finding and obstacle avoiding in an automatic way. Some algorithms integrating grid and topology map are considered and this make the SLAM performance faster and more stable. The proposed scheme uses an occupancy grid map in representing the environment and then formulate topological information in path finding by A${\ast}$ algorithm. The mapping process is shown and the shortest path is decided on grid based map. Then topological information such as direction, distance is calculated on simulator program then transmitted to robot hardware devices. The localization process and the dynamic obstacle avoidance can be accomplished by topological information on grid map. While mapping and moving, pose of the robot is adjusted for correct localization by implementing additional pixel based image layer and tracking some features. A laser range finer and electronic compass systems are implemented on the mobile robot and DC geared motor wheels are individually controlled by the adaptive PD control method. Simulations and experimental results show its performance and efficiency of the proposed scheme are increased.

The Design of Web-Linked Digital Map for LBS/GIS Service (LBS/GIS 서비스를 위한 웹 연동 수치지도 설계)

  • Park Sung-Seok;Kim Chang-Soo
    • Journal of Korea Multimedia Society
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    • v.8 no.8
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    • pp.1023-1031
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    • 2005
  • LBS(Location Based Service) and GIS (Geographic Information System) are supporting necessary services for system which provides geographic information using location information based on various platforms. However the mobile computing environments such as PDA system have serious limitations in functional viewpoints compare of general computing environments, it has problems for developing GIS system which is providing various information. In this paper, we suggest the reduced methods of digital map and format of web-linked digital mao in order to fit in mobile environment. As a result of map generation, the total capacity of the supported digital map was diminished about $99.34\%$ than the original map.

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Hadoop Based Wavelet Histogram for Big Data in Cloud

  • Kim, Jeong-Joon
    • Journal of Information Processing Systems
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    • v.13 no.4
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    • pp.668-676
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    • 2017
  • Recently, the importance of big data has been emphasized with the development of smartphone, web/SNS. As a result, MapReduce, which can efficiently process big data, is receiving worldwide attention because of its excellent scalability and stability. Since big data has a large amount, fast creation speed, and various properties, it is more efficient to process big data summary information than big data itself. Wavelet histogram, which is a typical data summary information generation technique, can generate optimal data summary information that does not cause loss of information of original data. Therefore, a system applying a wavelet histogram generation technique based on MapReduce has been actively studied. However, existing research has a disadvantage in that the generation speed is slow because the wavelet histogram is generated through one or more MapReduce Jobs. And there is a high possibility that the error of the data restored by the wavelet histogram becomes large. However, since the wavelet histogram generation system based on the MapReduce developed in this paper generates the wavelet histogram through one MapReduce Job, the generation speed can be greatly increased. In addition, since the wavelet histogram is generated by adjusting the error boundary specified by the user, the error of the restored data can be adjusted from the wavelet histogram. Finally, we verified the efficiency of the wavelet histogram generation system developed in this paper through performance evaluation.

The Design and Implementation of Festival Information Website using the GeoRSS Function (GeoRSS기능을 활용한 축제정보 사이트 구축)

  • Cho, A-Ra;Kang, Young-Ok
    • Spatial Information Research
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    • v.18 no.1
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    • pp.89-99
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    • 2010
  • This study has been implemented a map-based festival information website with Google Map to overcome a limit that existing festival information web sites supplied location information only through text-based format. To get the newest festival information, this website uses GeoRSS function which transform rss feed offered by newspaper websites into location based information. Through this function, internet users can see festival information at a glance on the basis of a map. Through this study we confirmed the efficiency of offering location based festival information and possibility of GeoRSS function to provide the newest festival information.