• Title/Summary/Keyword: 지도타입

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Development of a Prototype System for Active Emergency Call Services (능동적 응급 호출 서비스 시스템 프로토타입 개발)

  • Han, Won-Hee;Song, Eun-Ha;Han, Sung-Kook;Jeong, Young-Sik
    • Journal of Korea Multimedia Society
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    • v.11 no.7
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    • pp.1016-1024
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    • 2008
  • In this paper, we designed and implemented the ACE(ACtive Emergency call service system) system for emergency call service actively. ACE system has two physical components; E-Device(Emergency Mobile Device) and E-Server(Emergency Server). The role of E-Device is the mobile device in order to call emergency by using mild handi-capped, the elderly and children who are able to communicate theirs intention to another. E-Server is the server for management E-devices with realtime monitering. E-Device will be developed to the portable size for easily mild handi-capped, the elderly and children. When they need the service of emergency call, the button of E-device can be used and the call signal is transmitted to the emergency office and the guardian through Internet and CDMA. E-server should be developed the integrated control system for management of E-Devices basically. And it also supported to realtime monitoring of E-devices with respect to high quality of emergency call service for rise the efficiency.

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CALS: Channel State Information Auto-Labeling System for Large-scale Deep Learning-based Wi-Fi Sensing (딥러닝 기반 Wi-Fi 센싱 시스템의 효율적인 구축을 위한 지능형 데이터 수집 기법)

  • Jang, Jung-Ik;Choi, Jaehyuk
    • Journal of IKEEE
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    • v.26 no.3
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    • pp.341-348
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    • 2022
  • Wi-Fi Sensing, which uses Wi-Fi technology to sense the surrounding environments, has strong potentials in a variety of sensing applications. Recently several advanced deep learning-based solutions using CSI (Channel State Information) data have achieved high performance, but it is still difficult to use in practice without explicit data collection, which requires expensive adaptation efforts for model retraining. In this study, we propose a Channel State Information Automatic Labeling System (CALS) that automatically collects and labels training CSI data for deep learning-based Wi-Fi sensing systems. The proposed system allows the CSI data collection process to efficiently collect labeled CSI for labeling for supervised learning using computer vision technologies such as object detection algorithms. We built a prototype of CALS to demonstrate its efficiency and collected data to train deep learning models for detecting the presence of a person in an indoor environment, showing to achieve an accuracy of over 90% with the auto-labeled data sets generated by CALS.

Implementation of a Web-Based Early Warning System for Meteorological Hazards (기상위험 조기경보를 위한 웹기반 표출시스템 구현)

  • Kong, In Hak;Kim, Hong Joong;Oh, Jai Ho;Lee, Yang Won
    • Journal of Korean Society for Geospatial Information Science
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    • v.24 no.4
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    • pp.21-28
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    • 2016
  • Numeric weather prediction is important to prevent meteorological disasters such as heavy rain, heat wave, and cold wave. The Korea meteorological administration provides a realtime special weather report and the rural development administration demonstrates information about 2-day warning of agricultural disasters for farms in a few regions. To improve the early warning systems for meteorological hazards, a nation-wide high-resolution dataset for weather prediction should be combined with web-based GIS. This study aims to develop a web service prototype for early warning of meteorological hazards, which integrates web GIS technologies with a weather prediction database in a temporal resolution of 1 hour and a spatial resolution of 1 km. The spatially and temporally high-resolution dataset for meteorological hazards produced by downscaling of GME was serviced via a web GIS. In addition to the information about current status of meteorological hazards, the proposed system provides the hourly dong-level forecasting of meteorologic hazards for upcoming seven days, such as heavy rain, heat wave, and cold wave. This system can be utilized as an operational information service for municipal governments in Korea by achieving the future work to improve the accuracy of numeric weather predictions and the preprocessing time for raster and vector dataset.

Case Study on the Library Service Innovation Applying Service Design Methodology (서비스디자인 방법론을 적용한 도서관서비스 혁신 사례분석)

  • Lee, Byeong-Ki
    • Journal of the Korean Society for Library and Information Science
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    • v.50 no.3
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    • pp.71-92
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    • 2016
  • Service design is a process and methodology for innovating or creating service. This study analyzed library case that applied service design method to library service innovation and creation. The object of this case studies include 7 library such as Copenhagen's municipal library, State Library of Victoria, Carnegie Library of Pittsburgh, Georgia institute of technology library, North carolina state university library. This study analyzed separately to service design requirements, stake-holders, period, process, tools, result and main feature. The implications obtained through this case study are as follows: (1) The design of the library service are focused on user-centered services, future service creation. (2) The service design for library is designed by the collaboration of all stake-holder. (3) From the point of view of period, the service design is continuous, and it has a nature of the project. (4) The service design in library focus on user experience, processes and prototypes development and application. (5) The service design in library are applied to the new tool such as blue print, customer journey map, touch-point, shadow, persona. (6) The purpose of the service design in library is improved and created services, and is has holistic approach.

Development of GIS-based Integrated DB Management System for the Analysis of Climate Environment Change (기후.환경 변화 분석을 위한 GIS기반의 통합DB 관리시스템 개발)

  • Kim, Na-Young;Kim, Kye-Hyun;Park, Yong-Gil
    • Spatial Information Research
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    • v.19 no.6
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    • pp.101-109
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    • 2011
  • Climate change affects all components of the global environment system and, in turn, all components mutually interact and affect climate change through non-linear feedback processes. It is thus necessary to study the interaction between the climate and the environment, in order to comprehensively understand and predict climate and environment change. However, current relevant systems are limited to particular areas and do not sufficiently support the mutual linking of research studies. Therefore, this study develops prototype a GIS based integrated DB management system for supporting the climate and environment data storage, management and distribution. The integrated DB management system was developed using VB.NET languages and ArcObjects component. First, considering the demands of climate environment experts, the study areas are selected and the methods of data management and utilization were defined. In addition, a location-based GIS DB was created in order to aid in understanding climate change through visual representation. Finally, the integrated DB management system provides an efficient data management and distribution data and it creates synergistic effect on climate and environment study. It also contributes significantly to the comprehensive diagnosis and prediction of climate change and environment systems.