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이병선,Jae-HoonKim 한국우주과학회 2003 Journal of Astronomy and Space Sciences Vol.20 No.3
Spacecraftmission planningfunctionsincludingeventprediction,mission scheduling,commandplanning,andgroundtrackdisplayhavebeendevelopedfortheKOMPSAT-2 mission operations. Integrated event prediction functions including satellite orbitalevents, user requested imaging events, and satellite operational events have been im-plemented. Missionschedulingfunctionshavebeenrealizedtodetectthemissioncon-icts considering the user specied constraints and resources. A conict free missionscheduling result is mapped into the spacecraft command sequences in the commandplanning functions. The command sequences are directly linked to the spacecraftoperations using eXtensible Markup Language (XML) for command transmission.Ground track display shows the satellite ground trace and mission activities on a digi-tized world map with zoom capability.
Operational Report of the Mission Analysis and Planning System for the KOMPSAT-I
이병선,최해진,이성팔,김은규,Jeong-SookLee,Jae-HoonKim,Hae-DongKim 한국전자통신연구원 2003 ETRI Journal Vol.25 No.5
Since its launching on 21 December 1999, the Korea Multi-Purpose Satellite-I (KOMPSAT-I) has been successfully operated by the Mission Control Element (MCE), which was developed by the ETRI. Most of the major functions of the MCE have been successfully demonstrated and verified during the three years of the mission life of the satellite. This paper presents the operational performances of the various functions in MAPS. We show the performance and analysis of orbit determinations using ground-based tracking data and GPS navigation solutions. We present four instances of the orbit maneuvers that guided the spacecraft from injection orbit into the nominal on-orbit. We include the groundbased attitude determination using telemetry data and the attitude maneuvers for imaging mission. The event prediction, mission scheduling, and command planning functions in MAPS subsequently generate the spacecraft mission operations and command plan. The fuel accounting and the realtime ground track display also support the spacecraft mission operations.
Processing and Storage Monitoring System for Grain
( Hoon Kim ),( Oui-woung Kim ),( Jae-woong Han ),( Jae-hwan Ahn ),( Hyo-jai Lee ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
Domestic agricultural price and quality competitiveness is gradually weakening by increasing of agricultural imports. Specially, the rice industries strives for competitiveness with RPC(Rice Processing Complex) and DSC(Drying and Storage Center) as the main processing facility, but the traceability system is being rarely applied in the rice industries. In this study, yield and inventory management system for rice was designed to complement the traceability technologies by applying MMI(Man Machine Interface) and weight and moisture content(%) measuring device. Weighing device of load cell type and hopper shape was installed at each unit in RPC to monitor the inventory status of grains which was difficult to manage the weight in bulk. In addition, unattended storage facilities, such as DSC could be remotely controled and monitored from RPC using the TCP/IP communication and the DB server. With this system the problem of competitiveness with imported rice will be solved by the labor-saving and cost-effective and safety of domestic rice is expected.
Predictive Thin Layer Drying Model for White and Black Beans
( Hoon Kim ),( Jae-woong Han ) 한국농업기계학회 2017 바이오시스템공학 Vol.42 No.3
Purpose: A thin-layer drying equation was developed to analyze the drying processes of soybeans (white and black beans) and investigate drying conditions by verifying the suitability of existing grain drying equations. Methods: The drying rates of domestic soybeans were measured in a drying experiment using air at a constant temperature and humidity. The drying rate of soybeans was measured at two temperatures, 50 and 60℃, and three relative humidities, 30, 40 and 50%. Experimental constants were determined for the selected thin layer drying models (Lewis, Page, Thompson, and moisture diffusion models), which are widely used for predicting the moisture contents of grains, and the suitability of these models was compared. The suitability of each of the four drying equations was verified using their predicted values for white beans as well as the determination coefficient (R<sup>2</sup>) and the root mean square error (RMSE) of the experiment results. Results: It was found that the Thompson model was the most suitable for white beans with a R2 of 0.97 or greater and RMSE of 0.0508 or less. The Thompson model was also found to be the most suitable for black beans, with a R<sup>2</sup> of 0.97 or greater and an RMSE of 0.0308 or less. Conclusions: The Thompson model was the most appropriate prediction drying model for white and black beans. Empirical constants for the Thompson model were developed in accordance with the conditions of drying temperature and relative humidity.