• Title/Summary/Keyword: 원격대학원

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Realtime Long-Distance Transmission Method of DGPS Error Correction Signal (DGPS 보정 신호 실시간 장거리 전송 방안)

  • 조익성;임재홍
    • Korean Journal of Remote Sensing
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    • v.17 no.3
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    • pp.243-251
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    • 2001
  • GPS is one of today's most widely used surveying techniques. But, users can't acquire an enough accuracy in applications of the navigation or geodesy by the GPS positioning technique because of the effects of the ionosphere and troposphere. The solution of these restrictions in the DGPS technique that is to eliminate the common errors and can achieve a high accuracy. Although of sufficient density for good DGPS, accuracy of positioning is just not dense enough to provide complete coverage for real-time positioning, because distances between base and rover is short. In this paper, we suggest Realtime Long-Distance Transmission Method of DGPS Error Correction Signal, which consist of TCP, UDP and IP, which allows a user to increase the distance at which the rover receiver is located from the base, due to radio modem.

An Analysis of Urban Open Space with Geographic Information Systems - A Case Study of Ansan City, Korea - (지리정보체계를 이용한 안산시의 오픈스페이스 분석)

  • 서동조;박종화
    • Korean Journal of Remote Sensing
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    • v.6 no.2
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    • pp.89-113
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    • 1990
  • The purpose of this study is to develop means to apply GIS and remote sensing technology to the analysis of Korean urban open spaces. To achieve this objective, a framework of analysis of urban open spaces was developed, and then the framework was applied for the evaluation of the potential and suitability of open spaces of Ansan City, which is a new town developed to accomodate industries relocation from Seoul, Korea, mainly due to their pollution problems. The software used in this study are IDRISI, a grid-based GIS, and KMIPS, a remote sensing analysis system. Both packages are based on IBM PC/AT computers with Microsoft DOS. Landsat MSS and TM data were used for the land use classification, land use change detection, and analysis of transformed vegetation indices. The size of the geographic data base is 110 rows and 150 columns with the spatial resolution of 100m$\times$100m. The framework of analysis includes both quanititative and qualitative analysis of open spaces. The quantitative analysis includes size and distribution of open spaces, urban develpment of open spaces, and the degree of vegree of vegetation removal of the study area. The qualitative analysis includes evaluative criteria for primary productivity of land, park use potential, major visual resources, and urban environmental control. The findings of this study can be summarized as follows. First, the size of builtup areas increased 18.73km$^2$, while the size of forest land decreased 10.86km$^2$ during last ten years. Agricultural lands maintained its size, but shifted toward outside of the city into forest. Second, the potential of open spaces for park use is limited mainly due to their lack of accessibility and connectivity among open spaces, in spite of ample acreage and good site conditions. Third, major landscape elements and historic sites should be connected to the open space system of the city by new accesses and buffers.

Application of Linear Spectral Mixture Analysis to Geological Thematic Mapping using LANDSAT 7 ETM+ and ASTER Satellite Imageries (LANDSAT 7 ETM+와 ASTER영상정보를 이용한 선형분광혼합분석 기법의 지질주제도 작성 응용)

  • Kim Seung Tae;Lee Kiwon
    • Korean Journal of Remote Sensing
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    • v.20 no.6
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    • pp.369-382
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    • 2004
  • The purpose of this study is the investigation of applicability of LSMA(Linear Spectral Mixture Analysis) on the geological uses with different radiometric and spatial types of sensor images such as Terra ASTER and LANDSAT 7 ETM+. As for the actual application case, geologic mapping for mineral exploration using ASTER and ETM+ at the Mongolian plateau region was carried out. After the pre-processing such as the geometric corrections and calibration of radiance, 7 endmembers, as spectral classes for geologic rock types, related to spectral signature deviation for the given application was determined by the pre-surveyed geological mapping information and the correlation matrix analysis, and total 20 images of ASTER and ETM+ were used to LSMA processing. As the results, fraction maps showing individual mineral types in the study area are presented. It concluded that this approach based on LSMA using ETM+ and ASTER is regarded as one of the effective schemes for geologic remote sensing.

Feasibility Mapping of Groundwater Yield Characteristics using Weight of Evidence Technique based on GIS in the Pocheon Area (GIS 기반 Weight of Evidence 기법을 이용한 포천 지역의 지하수 산출특성 예측도 작성)

  • Heo Seon-Hee;Lee Kiwon
    • Korean Journal of Remote Sensing
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    • v.21 no.6
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    • pp.493-503
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    • 2005
  • In this study, the weight of evidence(WofE) technique based on GIS was applied to spatially estimate the groundwater yield characteristics at the Pocheon area In Gyunggi-do. The groundwater preservation depends on many hydro-geologic factors that include hydrologic data, land-use data, topographic data, geological map and other natural materials collected at the site, even with man-made things. All these data can be digitally processed and managed by GIS database. In the applied technique of WofE, the prior probabilities were estimated as the factors that affect the yield on lineament, geology, drainage pattern or river system density, landuse and soil. We calculated the value of the weight values, W+ and W-, of each factor and estimated the contrast value of it. Results by the groundwater yield characteristic computation using this scheme were presented feasibility map in the form of the posterior probability to the consideration of in-situ samples. It is concluded that this technique is regarded as one of the effective techniques for the feasibility mapping related to the estimation of groundwater-bearing potential zones and its spatial pattern.

Analysis of the Importance and Priority of HRM Factors in Private Security (민간경비 인사업무의 중요도 및 우선순위에 대한 고찰)

  • Kwon, Jung-Eon
    • Korean Security Journal
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    • no.56
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    • pp.55-81
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    • 2018
  • The purpose of this study is to find significant activities in human resource management (HRM) to solve growing-pains caused by the rapid external growth in private security business. To this end, we applied the HRM factors suggested by the National Job Capability Standard (NCS) to the private security and investigated the relative importance using the Analytic Hierarchy Process (AHP). The results were as follows. First, the importance of 4 HRM criteria in the private security was ranked in order of recruitment, operation, benefit, and retirement. Particularly, the relative importance of recruitment reached 63.8%. Second, the composite importance was calculated by dividing the 4 HRM criteria into 14 capability sub-criteria and 46 capability alternatives. As a result, personnel planning and hiring at the recruitment turned out as the areas that needed the most improvement. In addition, the operating and planning of education involved in the highest rank, 8th and 10th respectively. Based on these results, we suggested critical HRM factors for developing the private security business as well as proposed research directions and methods for further studies.

The Relationship among Trust of Instructors, Exercise Flow and Psychological Happiness for Golf Participants (골프참여자의 지도자신뢰와 운동몰입 및 심리적 행복감의 관계)

  • Baek, Yu-Mi
    • Journal of Convergence for Information Technology
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    • v.9 no.11
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    • pp.141-148
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    • 2019
  • The purpose of this study is to investigate the relationship between golf leader trust, exercise flow and psychological happiness for golf practice users. This study surveyed 256 golfers. The data were used to examine the causal relationship between variables using SPSS 18.0 and AMOS 18.0. Main findings were as follows: First trust of Instructors had a positive effect on exercise flow. Second, exercise flow had a positive effect on psychological happiness. Third, trust of Instructors had a positive effect on psychological happiness. Fourth, exercise flow mediated the relationship between golf participant trust of Instructors and psychological happiness. If golf participants have higher confidence in their leaders and more commitment to exercise, the quality of life will be higher.

Perceived Overqualification and Its Relationships with Job Crafting and Organizational Commitment: A Longitudinal Study (인식된 과잉자격이 직무재창조와 조직몰입에 미치는 영향: 종단연구)

  • Kwon, Jung-Eon;Woo, Hyung-Rok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.1
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    • pp.531-542
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    • 2021
  • This study was undertaken for identifying ways to positively resolve problems associated with perceived overqualification from the perspective of job crafting, which is highlighted as a social issue in the labor market. We hypothesized the mediating role of job crafting in order to uncover the questions regarding when and how perceived overqualification associates with an employee's organizational commitment. Autoregressive cross-lagged models were applied to the longitudinal data gathered from 263 full-time employees across 3 waves over 9 months. Our results demonstrate positive and significant cross-lagged effect of perceived overqualification on job crafting and organizational commitment. However, the cross-lagged effect of job crafting on perceived overqualification was found to be insignificant, but was significant for organizational commitment. There were no other indications of reverse causation effects. Our data indicates that job crafting longitudinally mediates the relation between perceived overqualification and organizational commitment. These findings offer a meaningful implication that employees who perceive themselves to be overqualified should be given an opportunity to craft their own jobs.

OneNet Cloud Computing Based Real-time Home Security System (OneNet 클라우드 컴퓨팅 기반 실시간 홈 보안 시스템)

  • Kim, Kang-Chul;Zhao, Yongjiang
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.1
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    • pp.101-108
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    • 2021
  • This paper builds a real-time home security system based on the OneNet cloud platform to control the status of the house through a smartphone. The system consists of a local part and a cloud part. The local part has I/O devices, router and Raspberry Pi (RPi) that collects and monitors sensor data and sends the data to the cloud, and the Flask web server is implemented on a Rasberry Pi. When a user is at home, the user can access the Flask web server to obtain the data directly. The cloud part is OneNet in China Mobile, which provides remote access service. The hybrid App is designed to provide the interaction between users and the home security system in the smartphone, and the EDP and RTSP protocol is implemented to transmit data and video stream. Experimental results show that users can receive sensor data and warning text message through the smartphone and monitor, and control home status through OneNet cloud.

Malicious Insider Detection Using Boosting Ensemble Methods (앙상블 학습의 부스팅 방법을 이용한 악의적인 내부자 탐지 기법)

  • Park, Suyun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.2
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    • pp.267-277
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    • 2022
  • Due to the increasing proportion of cloud and remote working environments, various information security incidents are occurring. Insider threats have emerged as a major issue, with cases in which corporate insiders attempting to leak confidential data by accessing it remotely. In response, insider threat detection approaches based on machine learning have been developed. However, existing machine learning methods used to detect insider threats do not take biases and variances into account, which leads to limited performance. In this paper, boosting-type ensemble learning algorithms are applied to verify the performance of malicious insider detection, conduct a close analysis, and even consider the imbalance in datasets to determine the final result. Through experiments, we show that using ensemble learning achieves similar or higher accuracy to other existing malicious insider detection approaches while considering bias-variance tradeoff. The experimental results show that ensemble learning using bagging and boosting methods reached an accuracy of over 98%, which improves malicious insider detection performance by 5.62% compared to the average accuracy of single learning models used.

Analysis of agricultural drought status using SAR-based soil moisture imageries (SAR 영상 기반 토양수분을 활용한 농업적 가뭄 분석)

  • Chanyang Sur;Hee-Jin Lee;Yonggwan Lee;Jeehun Chung;Seongjoon Kim;Won-Ho Nam
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.418-418
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    • 2023
  • 가뭄은 농업, 환경 및 사회경제적인 조건에 영향을 미치는 주요 자연 재해로 우리나라는 2015년부터 지속적인 가뭄 상황을 겪고 있다. 지속된 가뭄으로 인해 토양의 수분함량이 변화하여 농작물의 생장 활동 등에 영향을 미쳐 수확량이 낮아질 수 있다. 토양수분은 경사나 토질 등 지형학적인 특성에 따라 민감하게 반응하는 수문인자로, 특성을 광역적으로 정확하게 판단하기 어렵기 때문에 고해상도 원격탐사 자료를 활용하여 토양수분의 거동을 파악하는 연구들이 진행되고 있다. 특히, Synthetic Aperture Radar (SAR) 관측은 작물과 기본적인 토양의 유전체 및 기하학적 특성에 민감하게 반응하기 때문에, 토양수분 및 농업적 가뭄 분석 연구에 활용되고 있다. 본 연구는 2025년 발사될 예정인 C-band SAR 수자원 위성 산출물인 토양수분을 적용한 농업적 가뭄지수산정 알고리즘 기법 개발 연구를 위하여, 수자원 위성과 제원이 비슷한 Sentinel-1 자료를 통해 산정된 토양수분을 활용하여 농업적 가뭄지수인 Soil Moisture Drought Index (SMDI)를 산정하고자 한다. 산정된 SMDI의 검증을 위해 지점 관측된 토양수분 자료와 비교하여 Receiver Operating Characteristic (ROC) 분석 및 error matrix 기법 등을 활용하여 산정된 농업적 가뭄지수의 지역적 적용성을 파악하고자 한다. SAR 자료 기반의 농업적 가뭄지수 산정 알고리즘을 개발함으로써, 향후 제공될 수자원 위성의 자료를 활용한 가뭄 분석 연구에 활용될 수 있을 것으로 판단된다.

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