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Application of Change Detection Techniques Using KOMPSAT-1 EOC Images

  • Kim, Youn-Soo;Lee, Kwang-Jae
    • Korean Journal of Remote Sensing
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    • v.19 no.3
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    • pp.263-269
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    • 2003
  • This research examined the capabilities of KOMPSAT-1 EOC images for the application of urban environment, including the urban changes of the study areas. This research is constructed in three stages: Firstly, for the application of change detection techniques, which utilizes multi-temporal remotely sensed data, the data normalization process is carried out. Secondly, the change detection method is applied for the systematic monitoring of land-use changes. Lastly, using the results of the previous stages, the land-use map is updated. Consequently, the patterns of land-use changes are monitored by the proposed scheme. In this research, using the multi-temporal KOMPSAT-1 EOC images and land-use maps, monitoring of urban growth was carried out with the application of land-use changes, and the potential and scope of the application of the EOC images were also examined.

Generation of global coronal field extrapolation from frontside and AI-generated farside magnetograms

  • Jeong, Hyunjin;Moon, Yong-Jae;Park, Eunsu;Lee, Harim;Kim, Taeyoung
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.1
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    • pp.52.2-52.2
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    • 2019
  • Global map of solar surface magnetic field, such as the synoptic map or daily synchronic frame, does not tell us real-time information about the far side of the Sun. A deep-learning technique based on Conditional Generative Adversarial Network (cGAN) is used to generate farside magnetograms from EUVI $304{\AA}$ of STEREO spacecrafts by training SDO spacecraft's data pairs of HMI and AIA $304{\AA}$. Farside(or backside) data of daily synchronic frames are replaced by the Ai-generated magnetograms. The new type of data is used to calculate the Potential Field Source Surface (PFSS) model. We compare the results of the global field with observations as well as those of the conventional method. We will discuss advantage and disadvantage of the new method and future works.

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Initiating Event Selection and Analysis for Probabilistic Safety Assessment of Korea Research Reactor (국내 연구용원자로 PSA 수행을 위한 초기사건 선정 및 빈도 분석)

  • Lee, Yoon-Hwan
    • Journal of the Korean Society of Safety
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    • v.36 no.2
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    • pp.101-110
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    • 2021
  • This paper presents the results of an initiating event analysis as part of a Level 1 probabilistic safety assessment (PSA) for at-power internal events for the Korea Research Reactor (KRR). The PSA methodology is widely used to quantitatively assess the safety of research reactors (RRs) in the domestic nuclear industry. Initiating event frequencies are required to conduct a PSA, and they considerably affect the PSA results. Because there is no domestic database for domestic trip events, the safety of RRs is usually assessed using foreign databases. In this paper, operating experience data from the KRR for trip events were collected and analyzed in order to determine the frequency of specific initiating events. These frequencies were calculated using two approaches according to the event characteristics and data availability: (1) based on KRR operating experience or (2) using generic data.

Offline Shopping During the COVID-19 Pandemic: Between Need and Fear

  • USMAN, Hardius;PROJO, Nucke Widowati Kusumo;CHAIRY, Chairy
    • Fourth Industrial Review
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    • v.2 no.2
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    • pp.25-37
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    • 2022
  • Purpose - The purposes of this research are: (1) Building and testing a research model that integrates Theory of Reasoned Action (TRA) with fear, perceived risk, and health protocols; (2) Examining the impact of compliance with health protocols on consumer behavior when offline shopping. Research design, data, and methodology - The data collection uses the self-administered survey method, and the questionnaire is distributed online. A total of 504 Indonesian population aged 18 years old or more participate in this research. Data are analyzed using factor analysis, multiple regression, and multiple regression with interaction. Result - This study reveals several findings: (1) Attitude and subjective norm have a significant effect on offline shopping behavior; (2) fear has a direct and indirect effect on offline shopping behavior; (3) the effect of perceived risk on the intensity of offline shopping is determined by compliance with health protocols. Conclusion - This paper discusses the direct influence of attitudes and subjective norms on behavior. This research also integrates fear, perceived risk, and health protocol factors in TRA, which may not have been done much, especially in the COVID-19 pandemic context.

Koh Chang Island Eco-Tourism Mapping by Balloon-born Remote Sensing Imagery System

  • Kusanagi, Michiro;Nogami, Jun;Choomnoommanee, Tanapati;Laosuwan, Teerawong;Penaflor, Eileen;Shulian, Niu;Zuyan, Yao
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.894-896
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    • 2003
  • Koh Chang Island is located near the east border of Thailand. The government of Thailand promotes the island as a model of eco-tourism spots. The Island undeveloped until recent years, is expected to change to major tourist attraction. 'Digital Koh Chang project' has thus. The main objective of this project is to monitor the environment and land use status of the island and to support its sound development. In March 2003, a field survey of this project was planned and field data were collected using both airborne and ground platforms and an ocean vessel. These data were combined with satellite data in the laboratory. This presentation is all balloon-born system field operation. A 5-meter length balloon filled with Helium gas was used, whose payload consisted of two RGB standard color digital still cameras, two directional rotating servo motors, a camera mount cradle as well as signal transmitting and receiving components. A series of aerial high-resolution digital images were rather easily obtained using this inexpensive system, making it possible to monitor intended landscape features in a specific field. Design of simple, low-cost and easily transportable flying platforms and local field surveys using them are useful for getting local ground truth data to calibrate satellite or airborne-based RS data. The design analysis to upgrade the system is further investigated.

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Research on Areal Interpolation Methods and Error Measurement Techniques for Reorganizing Incompatible Regional Data Units : The Population Weighted Interpolation (지역 자료의 공간 단위 재구성 기법 및 에러 검증 : 인구가중치 내삽법)

  • Shin, Jung-Yeop
    • Journal of the Korean association of regional geographers
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    • v.10 no.2
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    • pp.389-406
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    • 2004
  • with the increasing popularity of regional studies, the importance of regional data has been recognized dramatically in recent years. However, due to potential problems from the intrinsic characteristics of aggregate regional data for the research, and incompatible regional units between source and target regional data units, the method for reorganizing the regional data units for a given research analysis should be required. In this regard, the purpose of this research is to review the significant interpolation methods for reorganizing the data units and, based on it, to propose the population weighted interpolation method. For the first purpose, areal weighted interpolation method, pycnophylactic method, dasymetric method, area-to-point method were reviewed. The proposed population-weighted interpolation method was applied to the case study of population census regional data in Erie County, NY, compared with areal weighted interpolation method, pycnophylactic method in terms of several statistical characteristics.

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PPNC: Privacy Preserving Scheme for Random Linear Network Coding in Smart Grid

  • He, Shiming;Zeng, Weini;Xie, Kun;Yang, Hongming;Lai, Mingyong;Su, Xin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.3
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    • pp.1510-1532
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    • 2017
  • In smart grid, privacy implications to individuals and their families are an important issue because of the fine-grained usage data collection. Wireless communications are utilized by many utility companies to obtain information. Network coding is exploited in smart grids, to enhance network performance in terms of throughput, delay, robustness, and energy consumption. However, random linear network coding introduces a new challenge for privacy preserving due to the encoding of data and updating of coefficients in forwarder nodes. We propose a distributed privacy preserving scheme for random linear network coding in smart grid that considers the converged flows character of the smart grid and exploits a homomorphic encryption function to decrease the complexities in the forwarder node. It offers a data confidentiality privacy preserving feature, which can efficiently thwart traffic analysis. The data of the packet is encrypted and the tag of the packet is encrypted by a homomorphic encryption function. The forwarder node random linearly codes the encrypted data and directly processes the cryptotext tags based on the homomorphism feature. Extensive security analysis and performance evaluations demonstrate the validity and efficiency of the proposed scheme.

Influence Analysis of Temporal Continuity Change of Flow Data on Load Duration Curve (유량자료의 시간적 연속성 변화가 오염부하지속곡선에 미치는 영향 비교 분석)

  • Kwon, Pil Ju;Han, Jeong Ho;Ryu, Ji chul;Kim, Hong Tae;Lim, Kyoung Jae;Kim, Jong Gun
    • Journal of Korean Society on Water Environment
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    • v.33 no.4
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    • pp.394-402
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    • 2017
  • In korea, TMDL is being implemented to manage nonpoint pollution sources as well as point pollution sources. LDC is being used for the planning of TMDL. In order to analyze the water quality using LDC, it is necessary to prepare FDC using the daily flow data. However, only the daily flow data is measured at the WAMIS branch, and 8days flow data and water quality data are measured at the monitoring Networks. So, in many researches, the water quality is being grasped by deriving the LDC using the 8days flow or the daily flow obtained by various methods. These fluctuations may lead to differences in determining whether the target load is achieved. In this study, each LDC was prepared using the 8day flow and the related daily flow. Then, the effect using different flow data on the achievement of target load was compared according to flow conditions. As a result, the difference ratio in the number of overloads under flow condition was showed 19% in high flows, 42% in moist conditions, 49% in mid-range flows, 41% in dry conditions, and 104% in low flows. In the top ten watershed with the highest difference ratio, the flow became lower the difference ration increases. These differences can cause uncertainty in assessing the achievement of target load using LDC. Therefore, in order to evaluate the water quality accurately and reliably using LDC, accurate daily flow data and water quality data should be secured through the installation of national nonpoint measurement network.

A Review on Expressive Materials and Approaches to Text Visualization (텍스트 데이터 시각화의 표현 재료와 접근 방식에 관한 고찰)

  • Kim, Hyoyoung;Park, Jin Wan
    • The Journal of the Korea Contents Association
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    • v.13 no.1
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    • pp.64-72
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    • 2013
  • In this study, we contemplated types, essence, characteristics of text data which is material for visual expression of text visualization part of data visualization research and also analysed the multidirectional means of expressive approach for it. Studies of text visualization are spread dramastically under the influence of computer development, open data, wide use of visualization tools, etc. For these reasons, text visualization works have been creating as art works or output of research through various inter-discipline convergent research with engineering, art, humanities, sociology, etc. Nevertheless the theoretical studies on text data itself and its visualization, and also systematic analysis of its approach are rarely made. Data is target of understanding and interpretation, and it has infinite information and possibility with process and approach for it. Considering the attainable status of data in future human society, text visualization which is convergent academic field of study starting with understanding and interpretation of data needs further methodological research and theoretical accumulate.

Development of LX GNSS On-line Data Processing System Based on the GIPSY-OASIS (GIPSY-OASIS 기반 LX GNSS 온라인 자료처리 시스템 개발)

  • Kim, Hyun-Ho;Ha, Ji-Hyun;Tcha, Dek-Kie
    • Journal of Advanced Navigation Technology
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    • v.18 no.6
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    • pp.555-561
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    • 2014
  • Data processing service via internet help user to get the GNSS data processing result more precise and easily. Thus, online data process system is operated and developed by various research groups and national. But this service is difficult to use in domestic cadastral survey. In this study, we developed the online data processing system for a domestic cadastral survey. This is calculated coordinate using NGII CORS(SUWN) fiducially. And use PPP technique by GIPSY-OASIS. If user choose the observation data which want to calculate the coordinate, then is uploaded to GIPSY-OASIS server through FTP. After upload is complete, server automatically calculate coordinate, and send the report about result using e-mail. And it takes 2 minutes runtime on the basis of the 3 sessions. To verify the result, we used the data on SOUL, JUNJ as compared with notified-coordinate from NGII. As a result, got the difference for east-west 1.4 cm, north-south -1.0 cm, vertical 0.5 cm.