• Title/Summary/Keyword: data space

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Generation of Meteorological Parameters for Tropospheric Delay on GNSS Signal (GNSS 신호의 대류층 지연오차 보정을 위한 기상 정보 생성)

  • Jung, Sung-Wook;Baek, Jeong-Ho;Jo, Jung-Hyun;Lee, Jae-Won;Park, In-Kwan;Cho, Sung-Ki;Park, Jong-Uk
    • Journal of Astronomy and Space Sciences
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    • v.25 no.3
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    • pp.267-282
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    • 2008
  • The GNSS (Global Navigation Satellite System) signal is delayed by the neutral atmosphere at the troposphere, so that the delay is one of major error sources for GNSS precise positioning. The tropospheric delay is an integrated refractive index along the path of GNSS signal. The refractive index is empirically related to standard meteorological variables, such as pressure, temperature and water vapor partial pressure, therefore the tropospheric delay could be calculated from them. In this paper, it is presented how to generate meteorological data where observation cannot be performed. KASI(Korea Astronomy & Space Science Institute) has operated 9 GPS (Global Positioning System) permanent stations equipped with co-located MET3A, which is a meteorological sensor. Meteorological data are generated from observations of MET3A by Ordinary Kriging. To compensate a blank of observation data, simple models which consider periodic characteristics for meteorological data, are employed.

Analysis of Utilization Status according to Users' Spaces of University Library - Based on the User log data of "J" University - (대학도서관 공간별 특성에 따른 활용도 분석 - J대학교 이용자 로그데이터를 기반으로 -)

  • Park, Tae-Yeon;Son, Eun-Jeong;Oh, Hyo-Jung
    • Journal of Korean Library and Information Science Society
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    • v.51 no.2
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    • pp.245-272
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    • 2020
  • The purpose of this study is to analyze the current status of space use in university library and draw up considerations for enhancing space utilization based on the analysis results. For this purpose, the utilization rate of each space was analyzed by categorizing the user's space of the university library, and secondly, the preferences of the major user groups were analyzed according to the characteristics of the users' space. For empirical analysis, we collected and refined users' space usage data (98,282 people's data 433,769 cases) accumulated for one year for the central library of "J" National University. Then we analyzed the usage pattern according to space and period(monthly, hourly). In addition, preferences for each major group of users (undergraduates, graduate students and graduates) in the library were analyzed through the library visitors' data (2,426,553 cases) over the same period. The results of this study can be used as preliminary research for the composition and arrangement of users' space in future university libraries.

Data Reduction Pipeline for the MIRIS Space Observation Camera

  • Pyo, Jeonghyun;Kim, Il-Joong;Park, Won-Kee;Jeong, Woong-Seob;Lee, Dae-Hee;Moon, Bongkon;Park, Youngsik;Park, Sung-Joon;Park, Kwijong;Lee, Duk-Hang;Nam, Uk-won;Han, Wonyong
    • The Bulletin of The Korean Astronomical Society
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    • v.38 no.1
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    • pp.74-74
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    • 2013
  • Multi-purpose Infra-Red Imaging System (MIRIS) is the main payload of the Science and Technology Satellite-3 (STSAT-3) to be launched in the late half of this year. For the Space Observation Camera (SOC) of MIRIS, we developed the data reduction pipeline with Python powered by Astropy, a community Python library for astronomy. The pipeline features the following functionalities: i) to retrieve the raw observation data from database and convert it to a FITS format, ii) to mask bad pixels, iii) to correct the non-linearity, iv) to differentiate the frames, v) to correct the flat-field, vi) to correct focal-plane distortion, vii) to improve the world coordinate system (WCS) information using known point-source catalog, and viii) to combine the sequentially taken frames. The pipeline is well modularized and has flexibility for later update. In this poster, we introduce the details of the pipeline's features and the future maintenance plan.

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Introduction to Next Generation of VLBI Data System & Future Plan for Wide Band VLBI Observation in KVN

  • Song, Min-Gyu;Wagner, Jan;Yeom, Jae-Hwan;Jung, Tae-Hyun;Kang, Yong-Woo;Byun, Do-Young;Kim, Jong-Soo;Kim, Hyo-Ryung
    • The Bulletin of The Korean Astronomical Society
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    • v.39 no.2
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    • pp.105.2-105.2
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    • 2014
  • Mark6는 최대 16Gbps의 데이터 입출력을 지원하는 차세대 기록 시스템으로서 올 하반기 내에 KVN의 관측 연구에 활용되기 위해 현재 기록 실험이 진행 중에 있다. VDIF(VLBI Data Interchage Format) 기반의 Mark6가 KVN 각 사이트에서 실제 관측에 활용되기 위해서는 FILA10G, VOA(VSI Optical Adapter) 등의 VSI-VDIF 컨버터가 수반되어야 하며 샘플러, DAS(Data Acquisition System) 등 내부적으로도 많은 시스템 변화가 필요하다. 본 발표에서는 기본 사양, 동작 원리 등 Mark6에 대한 간단한 소개를 시작으로 데이터 기록 실험 결과에 대해 설명하고자 한다. 나아가 이를 기반으로 향후 KVN의 광대역 관측 수행을 위한 Mark6의 활용 방안에 대해 살펴보고자 한다.

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Magnetometer Calibration Based on the CHAOS-7 Model

  • Song, Hosub;Park, Jaeheung;Lee, Jaejin
    • Journal of Astronomy and Space Sciences
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    • v.38 no.3
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    • pp.157-164
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    • 2021
  • We describe a method for the in-orbit calibration of body-mounted magnetometers based on the CHAOS-7 geomagnetic field model. The code is designed to find the true calibration parameters autonomously by using only the onboard magnetometer data and the corresponding CHAOS outputs. As the model output and satellite data have different coordinate systems, they are first transformed to a Star Tracker Coordinate (STC). Then, non-linear optimization processes are run to minimize the differences between the CHAOS-7 model and satellite data in the STC. The process finally searches out a suite of calibration parameters that can maximize the model-data agreement. These parameters include the instrument gain, offset, axis orthogonality, and Euler rotation matrices between the magnetometer frame and the STC. To validate the performance of the Python code, we first produce pseudo satellite data by convoluting CHAOS-7 model outputs with a prescribed set of the 'true' calibration parameters. Then, we let the code autonomously undistort the pseudo satellite data through optimization processes, which ultimately track down the initially prescribed calibration parameters. The reconstructed parameters are in good agreement with the prescribed (true) ones, which demonstrates that the code can be used for actual instrument data calibration. This study is performed using Python 3.8.5, NumPy 1.19.2, SciPy 1.6, AstroPy 4.2, SpacePy 0.2.1, and ChaosmagPy 0.5 including the CHAOS-7.6 geomagnetic field model. This code will be utilized for processing NextSat-1 and Small scale magNetospheric and Ionospheric Plasma Experiment (SNIPE) data in the future.

Implementation of Deferred NAK Mode Simulator for Large-Volume Telemetry Data Transmission in Deep Space Communication Systems (심우주 통신 시스템에서 대용량 Telemetry 데이터 전송을 위한 Deferred NAK Mode 시뮬레이터 구현)

  • Hong, Hee-Jin;Lee, Ju-Byung;Yoon, Dong-Weon;Hyun, Kwang-Min
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.39 no.1
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    • pp.69-75
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    • 2011
  • As part of its space development program, Korea has a plan for the launch of a lunar orbiter and a lunar lander. To enable the transmission of lunar information based on multimedia, it is necessary to construct a communication system that is capable of transmitting large-volume telemetry data. The CCSDS standard recommends the deferred NAK mode as ARQ scheme for reliable long-distance deep-space communication systems. In this paper, we implement a space communication system simulator in the deferred NAK mode using models of the lunar orbiter, the earth station, and the space environment. The simulator employs modulation techniques and turbo coding schemes for transmitting large-volume telemetry data. We analyze the transmission performance of telemetry data through the simulation.

Development of Facility Management System for Indoor Space Based on ICBM Technology (ICBM기반 실내 공간 유지관리 시스템 개발)

  • Jung, Yoo-Seok;Kang, Tae-Wook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.3
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    • pp.49-55
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    • 2019
  • An open office or a shared office is emerging as the emphasis on the collaborative and communicative work environments is increasing. In the past, the user maintained the space, but the maintenance of indoor space became difficult because there is no fixed user. Indoor space information can be collected using the ICBM framework system. The facility management can achieve this with data. Therefore, this study proposed a framework based on ICBM (Internet of Things, Cloud, Big Data, and Mobile) for verifying the possibility of a smart facility management system for indoor space. IoT (Internet of Things) technology was used to measure the indoor temperature, humidity, occupancy, and brightness continuously, and provided the data to Web API via WiFi. Data acquired automatically via IoT, existing maintenance data, and spatial information were integrated through the Cloud. Big data collected by sensors were processed as meaningful spatial information for maintenance. Indoor space information and maintenance information can be delivered to the manager through the mobile. Based on the collected data, room occupancy recognition is limited due to a range of ultrasonic wave sensors. On the other hand, brightness represents the space conditions. The difference between lighting on/off, weekday and weekend can be shown. The temperature data and the relative humidity data were collected steadily to evaluate the comfort.

COMS METEOROLOGICAL IMAGER SPACE LOOK SIDE SELECTION ALGORITHM

  • Park, Bong-Kyu;Lee, Sang-Cherl;Yang, Koon-Ho
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.100-103
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    • 2008
  • COMS(Communication, Ocean and Meteorological Satellite) has multiple payloads; Meteorological Image(MI), Ocean Color Imager(GOCI) and Ka-band communication payloads. MI has 4 IR and 1 visible channel. In order to improve the quality of IR image, two calibration sources are used; black body image and cold space look data. In case of COMS, the space look is performed at 10.4 degree away from the nadir in east/west direction. During space look, SUN or moon intrusions are strictly forbidden, because it would degrade the quality of collected IR channel calibration data. Therefore we shall pay attention to select space look side depending on SUN and moon location. This paper proposes and discusses a simple and complete space look side selection logic based on SUN and moon intrusion event file. Computer simulation has been performed to analyze the performance of the proposed algorithm in term of east/west angular distance between space look position and hazardous intrusion sources; SUN and moon.

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Tools for Echelle Spectrograph of NYSC 1m Telescope

  • Kang, Wonseok;Kim, Taewoo;Kim, Jeongeun;Shin, Yong Cheol;Yoo, Jihyun;Jeong, Shinu;Choi, Yoonho;Kwon, Sun-gill
    • The Bulletin of The Korean Astronomical Society
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    • v.43 no.1
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    • pp.50.1-50.1
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    • 2018
  • We present the development of tools for Echelle spectrograph of NYSC 1-m telescope. The eShel spectrograph(Shelyak) has operated at Deokheung Optical Astronomy Observatory since 2016. We carried out test observation in 2016 and completed the preprocessing and wavelength calibration of the spectroscopic data using IRAF. Based on the reduction process in IRAF, PySpecW, a set of tools for spectroscopic data was developed in 2017. PySpecW was optimized for NYSC 1m telescope, and written in Python for youth to use easily on any OS. PySpecW consists of preprocessing, aperture tracing, aperture extraction, wavelength calibration, and dispersion correction for extracted spectra.

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