• Title/Summary/Keyword: 효율 성

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A Study on the Operation Support and Activation of Drone Geospatial Information Service (드론 공간정보 서비스 운영지원 및 활성화에 대한 연구)

  • Ok, Jin-A;Yoo, Soonduck
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.6
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    • pp.147-153
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    • 2021
  • The purpose of this study is to establish strategic suggestions for the direction of the drone-related business by Gyeonggi-do through a survey on the operation and actual conditions of the drone geospatial information service business experienced by Gyeonggi-do civil servants. For this purpose, as a result of surveying the demand survey of 219 people in charge of drone field work, it was analyzed by dividing it into four categories: technology-based operation support, business discovery and support, legal and institutional support, and education and public relations. As an improvement measure, technology-based operation support is to secure service operation efficiency by establishing a dedicated manpower and a dedicated organization and securing drone-related experts.The plan for improvement of project discovery and support is as follows. 1) The government proactively discovers prior research projects for project discovery and support; 2) Legal and institutional support requires support services for simplification of administration such as drone geospatial data shooting schedules and permits, 3) legal and institutional review on improving the scope and restrictions for using drone geospatial data. In the field of education and publicity, it is necessary to operate an education program on the overall operation of drones, and to conduct seminars for each field and use, and to seek activation methods through practical application guidelines for the application process and system. The limitation of this study is that the survey subjects are related to Gyeonggi-do, and in the future, survey analysis through a wide range of participants is required.

The Details and Outlook of Three Data Acts Amendment in South Korea: With a Focus on the Changes of Domestic Financial and Data Industry (데이터 3법 개정안의 내용과 전망: 국내 금융 및 데이터 산업계의 변화를 중심으로)

  • Kim, Eun-Chan;Kim, Eun-Young;Lee, Hyo-Chan;Yoo, Byung-Joon
    • Informatization Policy
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    • v.28 no.3
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    • pp.49-72
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    • 2021
  • This study analyzes the major content, significances, and future outlook of Three Data Acts amendment enacted in August 2020 in South Korea, with the focus on their impact on the financial and data industries. It seems that the revision of the Credit Information Act will enable the specification of a business which had previously only been regulated as the business of credit inquiry, and also enable the domestic data industry to activate the MyData industry, data trading and platforms, and specify data pseudonymization and trading procedures. For the rational and efficient implementation of the amendments to the Three Data Acts, the Personal Information Protection Committee must be as transparent and lawful in its activities as possible, and fairness must be guaranteed. Even in the utilization of personal information, the development or complementation of the related data processing technologies is essential, and clear data processing methods and areas must be regulated. Furthermore, the amendments must be supported with guarantees and the systematization of a fair competitive system in the data market, stricter regulations on penalties for illegal acts related to data, establishment and strengthening of the related security systems, and reinforcement of the system of cooperation for data transfer.

Influence of Internal and External Factors on the Inventory Turnover Change Rate (기업 내부적 및 외부적 요인이 재고자산회전율 변화율에 미치는 영향)

  • Seo, Yeong-Bok;Park, Chan-Kwon
    • Journal of Convergence for Information Technology
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    • v.11 no.9
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    • pp.94-108
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    • 2021
  • This study is to identify the internal and external factors of a company that can affect the rate of change in the inventory turnover ratio. In addition, by appropriately managing or responding to these factors, changes in the inventory turnover ratio do not occur abruptly, so that the company's business and financial performance can be improved. To confirm this, factors such as gross profit margin, cash flow volatility, advertising expenses, inflation, exchange rate rise, and leading economic index were selected, and these factors were predicted to affect the change rate of inventory turnover. Data of 85,878 companies were obtained from domestic securities listings, KOSDAQ listings, and externally audited companies, and multiple regression analysis was performed using the data. Gross profit margin and cash flow volatility have a significant positive (+) effect, advertising expenses have a negative (-) significant effect, and inflation and exchange rate rises have a negative (-) significant effect. As an influence, the leading economic index was tested to have a significant positive (+) effect. Through this, it is suggested that manufacturing companies can improve their business performance and achieve operational efficiency by well understanding and appropriately managing factors that can affect the change rate of inventory turnover.

Fall detection based on acceleration sensor attached to wrist using feature data in frequency space (주파수 공간상의 특징 데이터를 활용한 손목에 부착된 가속도 센서 기반의 낙상 감지)

  • Roh, Jeong Hyun;Kim, Jin Heon
    • Smart Media Journal
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    • v.10 no.3
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    • pp.31-38
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    • 2021
  • It is hard to predict when and where a fall accident will happen. Also, if rapid follow-up measures on it are not performed, a fall accident leads to a threat of life, so studies that can automatically detect a fall accident have become necessary. Among automatic fall-accident detection techniques, a fall detection scheme using an IMU (inertial measurement unit) sensor attached to a wrist is difficult to detect a fall accident due to its movement, but it is recognized as a technique that is easy to wear and has excellent accessibility. To overcome the difficulty in obtaining fall data, this study proposes an algorithm that efficiently learns less data through machine learning such as KNN (k-nearest neighbors) and SVM (support vector machine). In addition, to improve the performance of these mathematical classifiers, this study utilized feature data aquired in the frequency space. The proposed algorithm analyzed the effect by diversifying the parameters of the model and the parameters of the frequency feature extractor through experiments using standard datasets. The proposed algorithm could adequately cope with a realistic problem that fall data are difficult to obtain. Because it is lighter than other classifiers, this algorithm was also easy to implement in small embedded systems where SIMD (single instruction multiple data) processing devices were difficult to mount.

Estimation of the Original Location of Haechi (Haetae) Statues in Front of Gwanghwamun Gate Using Archival Photos from Early 1900s and Newly Taken Photos by Image Analysis (1900년대 초반의 기록사진과 디지털 카메라 사진분석을 활용한 광화문 앞 해치상의 원위치 추정)

  • Oh, Hyundok;Nam, Ho Hyun;Yoo, Yeongsik;Kim, Jung Gon;Kang, Kitaek;Yoo, Woo Sik
    • Journal of Conservation Science
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    • v.37 no.5
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    • pp.491-504
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    • 2021
  • Gwanghwamun Gate of Gyeongbokgung Palace was dismantled and relocated during the Japanese colonial period, destroyed during the Korean War, reconstructed with reinforced concrete in 1968, and finally erected at its present location in 2010. A pair of Haechi statues located in front of Gwanghwamun was dismantled and relocated several times, and the statues have yet to be returned precisely to their original positions. This study assesses the historical accuracy of their current placement under the Gwanghwamun Square Restructuring Project of the Seoul Metropolitan Government and the Cultural Heritage Administration based on archival photos from the early 1900s, and proposes a method to estimate the original positions of the Haechi through image analysis of contemporary photographs and recent digital camera photos. We estimated the original position of the Haechi before the Japanese colonial period by identifying the shooting location of the archival photo and reproducing contemporary photographs by calculating the angle and distance to the Haechi from the shooting location. The leftmost and rightmost Haechi were originally located about 9.6 m to the east and 7.4 m to the north and about 1.9 m to the west and 8.0 m to the north, respectively, of their current location indicators. As the first attempt to determine the original location of a building and its accessories using archival photos, this study launches a new scientific methodology for the restoration of cultural properties.

Drone Image based Time Series Analysis for the Range of Eradication of Clover in Lawn (드론 영상기반 잔디밭 내 클로버의 퇴치 범위에 대한 시계열 분석)

  • Lee, Yong Chang;Kang, Joon Oh;Oh, Seong Jong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.4
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    • pp.211-221
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    • 2021
  • The Rabbit grass(Trifolium Repens, call it 'Clover') is a representative harmful plant of lawn, and it starts growing earlier than lawn, forming a water pipe on top of the lawn and hindering the photosynthesis and growth of the lawn. As a result, in competition between lawn and clover, clover territory spreads, but lawn is damaged and dried up. Damage to the affected lawn area will accelerate during the rainy season as well as during the plant's rear stage, spreading the area where soil is exposed. Therefore, the restoration of damaged lawn is causing psychological stress and a lot of economic burden. The purpose of this study is to distinguish clover which is a representative harmful plant on lawn, to identify the distribution of damaged areas due to the spread of clover, and to review of changes in vegetation before and after the eradication of clover. For this purpose, a time series analysis of three vegetation indices calculated based on images of convergence Drone with RGB(Red Green Blue) and BG-NIR(Near Infra Red)sensors was reviewed to identify the separation between lawn and clover for selective eradication, and the distribution of damaged lawn for recovery plan. In particular, examined timeseries changes in the ecology of clover before and after the weed-whacking by manual and brush cutter. And also, the method of distinguishing lawn from clover was explored during the mid-year period of growth of the two plants. This study shows that the time series analysis of the MGRVI(Modified Green-Red Vegetation Index), NDVI(Normalized Difference Vegetation Index), and MSAVI(Modified Soil Adjusted Vegetation Index) indices of drone-based RGB and BG-NIR images according to the growth characteristics between lawn and clover can confirm the availability of change trends after lawn damage and clover eradication.

Current Status and Results of In-orbit Function, Radiometric Calibration and INR of GOCI-II (Geostationary Ocean Color Imager 2) on Geo-KOMPSAT-2B (정지궤도 해양관측위성(GOCI-II)의 궤도 성능, 복사보정, 영상기하보정 결과 및 상태)

  • Yong, Sang-Soon;Kang, Gm-Sil;Huh, Sungsik;Cha, Sung-Yong
    • Korean Journal of Remote Sensing
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    • v.37 no.5_2
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    • pp.1235-1243
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    • 2021
  • Geostationary Ocean Color Imager 2 (GOCI-II) on Geo-KOMPSAT-2 (GK2B)satellite was developed as a mission successor of GOCI on COMS which had been operated for around 10 years since launch in 2010 to observe and monitor ocean color around Korean peninsula. GOCI-II on GK2B was successfully launched in February of 2020 to continue for detection, monitoring, quantification, and prediction of short/long term changes of coastal ocean environment for marine science research and application purpose. GOCI-II had already finished IAC and IOT including early in-orbit calibration and had been handed over to NOSC (National Ocean Satellite Center) in KHOA (Korea Hydrographic and Oceanographic Agency). Radiometric calibration was periodically conducted using on-board solar calibration system in GOCI-II. The final calibrated gain and offset were applied and validated during IOT. And three video parameter sets for one day and 12 video parameter sets for a year was selected and transferred to NOSC for normal operation. Star measurement-based INR (Image Navigation and Registration) navigation filtering and landmark measurement-based image geometric correction were applied to meet the all INR requirements. The GOCI2 INR software was validated through INR IOT. In this paper, status and results of IOT, radiometric calibration and INR of GOCI-II are analysed and described.

Analysis of Shear Properties from the Numerical Shear Test on Rock Joints with PFC2D (PFC2D를 이용한 암반 절리의 수치전단시험으로부터 전단 특성 분석)

  • Noh, Jeongdu;Kang, Seong-Seung
    • The Journal of Engineering Geology
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    • v.31 no.3
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    • pp.357-366
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    • 2021
  • Shear behavior dependent on the shape and roughness of rock joints can greatly influence the stability of the ground and rock structures. The efficient design of rock structures requires understanding of the shear behavior due to joints and accurate calculation of the shear strength. This work reports numerical shear tests using PFC2D on No. 1 (JCR-1), with smooth joints, and No. 7 (JRC-7) and No. 9 (JRC-9), with relatively rough joints, for the 10 shapes of standard joint profiles proposed by Barton and Choubey (1977). The aim was to investigate the shear behavior of rock joints with respect to their roughness. The results show the maximum shear stress to be about 3.2 to 5.0 times greater in the rougher JRC-7 and JRC-9 joints than in smoother JRC-1. The maximum shear displacement was approximately 4.1 to 5.8 times greater at the first normal stress than at the second. The rougher joints showed friction angles of the rock joints that were approximately 1.8 to 3.9 times greater than that in the smooth joint. Overall, increasing the rock joint roughness increased the maximum shear stress and friction angle.

Indicator of Motorway Traffic Congestion Speed Based On Individual Vehicular Trips (개별차량 통행기반 고속도로 혼잡 속도 지표 연구)

  • Chang, Hyunho;Baek, Junhyeck
    • Journal of the Society of Disaster Information
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    • v.17 no.3
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    • pp.589-599
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    • 2021
  • Purpose: A reliable indicator of congested traffic speed is essential in providing the information of traffic flow states about motorway sections. The aim of this study is to propose an adaptive indicator of congested speed which is employed for deciding the traffic flow states for individual motorway sections using disaggregated section-based speed data. Method: Typically, the state of traffic flow is categorized into the three: uncongested, mixed, congested states. A method, presented in this study, was developed for identifying boundary speed values of road sections through categorizing the three traffic flow states with individual vehicular speed values. The boundary speed state of each road segment is determined using the speed distributions of mixed and congested traffic states. Result: Analysis results revealed that boundary speed values between mixed and congested states for road sections were similar to those of US and EU criteria (i.e., 48.28~66.0 kph). This indicates that boundary speed values could be different according to road sections. Conclusion: It is expected that the method and indicator, proposed in this study, could be efficaciously used for providing ad-hoc real-time traffic states and computing traffic congestion costs for motorway sections in the era of big data.

A Study on the Changing Factors of the Power Transition among the Gov ernments of Somalia and Terrorisms (소말리아 정부와 테러조직 간 권력구도 변화 영향요인 연구)

  • Lee, Pyo-Kyu
    • Convergence Security Journal
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    • v.21 no.1
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    • pp.137-147
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    • 2021
  • The purpose of this study is to summarize the variables for making the power expansion of terrorist organizations possible by analyzing the power transitions among the Somalia governments and terrorisms. For this, I created a framework after extracting the independent variables affecting the power transition using the theories of Hans J. Morgenthau, A.F.K Organski, K.J. Holsti. On the basis of these, I analyzed the power transitions among the organizations from August 2012(the foundation of Federal government) to August 2019. According to the results, the power area of the federal government is extremely narrowed, whereas the power areas of al-Shabaab, ISIS, and neutral conflict are largely expanded. The factors in the framework were embodied as the delay of powerful federal government foundation, the shortage of national military forces, the limitation of effective use of foreign forces, the continuation of cooperation and antagonism among armed terrorist organization, sanctuary environment of terrorists using the Sharia law, advantages of force recruitment resulted from the bad economic conditions, public support suitable for the Somalia environment. All of these factors work the causes of lasting anarchy condition of the federal government of Somalia by making the settlement of conflict against terrorist organizations.