• Title/Summary/Keyword: digital fusion

Search Result 432, Processing Time 0.02 seconds

Quality Evaluation Model for Security of DRM Software (DRM 소프트웨어의 보안성 품질평가 모델)

  • Lee, Ha-Young;Kim, Jung-Gyu
    • Journal of Digital Convergence
    • /
    • v.11 no.5
    • /
    • pp.1-11
    • /
    • 2013
  • To make the DRM technology protect adequately the copy right of digital contents, DRM software should have high quality and no defects when DRM is added to digital contents. It can be a basis for the effective protection of the copyright of digital contents to develop a quality evaluation model of DRM SW. First of all, the security of DRM SW is the most critical quality characteristic that DRM software must have. In this paper, we conducted research on how to measure the quality of security of DRM SW.

Digital Orthophoto Generation from LIDAR Data (LIDAR 데이터를 이용한 수치정사사진의 제작)

  • 김형태;심용운;박승룡;김용일
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.20 no.2
    • /
    • pp.137-143
    • /
    • 2002
  • In this study we generated digital orthophoto from LIDAR data. To generate digital orthophoto, we make TIN from raw laser scanning data(XYZ point data) and compiled DSM from this TIN. In this procedure much noise appeared along the break lines in DSM and this can give bad effect to the quality of digital orthophoto. Therefore, we applied various techniques which can refine the break line. In the result, we concluded that the fusion of LIDAR DEM of lowland and extracted buildings was adequate to generating DSM. So we generated the digital orthophoto from DSM generated from this technique. In the result of quality test, the positional accuracy of this digital orthophoto was better than the positional accuracy of 1:5,000 map.

Optimization of Metal Powder Particle Size Distribution for Powder Bed Fusion Process via Simulation (금속 Powder Bed Fusion 적층제조 기술의 분말 입도 최적화를 위한 시뮬레이션)

  • Lee, Hwaseon;Kim, Dae-Kyeom;Kim, Young Il;Nam, Jieun;Son, Yong;Kim, Taek-Soo;Lee, Bin
    • Journal of Powder Materials
    • /
    • v.27 no.1
    • /
    • pp.44-51
    • /
    • 2020
  • Powder characteristics, such as density, size, shape, thermal properties, and surface area, are of significant importance in the powder bed fusion (PBF) process. The powder required is exclusive for an efficient PBF process. In this study, the particle size distribution suitable for the powder bed fusion process was derived by modeling the PBF product using simulation software (GeoDict). The modeling was carried out by layering sintered powder with a large particle size distribution, with 50 ㎛ being the largest particle size. The results of the simulation showed that the porosity decreased when the mean particle size of the powder was reduced or the standard deviation increased. The particle size distribution of prepared titanium powder by the atomization process was also studied. This study is expected to offer direction for studies related to powder production for additive manufacturing.

Depthmap Generation with Registration of LIDAR and Color Images with Different Field-of-View (다른 화각을 가진 라이다와 칼라 영상 정보의 정합 및 깊이맵 생성)

  • Choi, Jaehoon;Lee, Deokwoo
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.21 no.6
    • /
    • pp.28-34
    • /
    • 2020
  • This paper proposes an approach to the fusion of two heterogeneous sensors with two different fields-of-view (FOV): LIDAR and an RGB camera. Registration between data captured by LIDAR and an RGB camera provided the fusion results. Registration was completed once a depthmap corresponding to a 2-dimensional RGB image was generated. For this fusion, RPLIDAR-A3 (manufactured by Slamtec) and a general digital camera were used to acquire depth and image data, respectively. LIDAR sensor provided distance information between the sensor and objects in a scene nearby the sensor, and an RGB camera provided a 2-dimensional image with color information. Fusion of 2D image and depth information enabled us to achieve better performance with applications of object detection and tracking. For instance, automatic driver assistance systems, robotics or other systems that require visual information processing might find the work in this paper useful. Since the LIDAR only provides depth value, processing and generation of a depthmap that corresponds to an RGB image is recommended. To validate the proposed approach, experimental results are provided.

The Influence of Entrepreneurial Supporting Policy and Entrepreneurship on Entrepreneurial Intention in the fusion of industries -Considering the moderating effect of the business failure burden and self-efficacy- (융복합 산업 분야에서의 창업지원정책 및 기업가 정신이 창업의지에 미치는 영향 -사업실패 부담감과 자기효능감의 조절효과를 고려하여-)

  • Kwon, Myung-Kyu;Yang, Hae-Sool
    • Journal of Digital Convergence
    • /
    • v.14 no.5
    • /
    • pp.21-37
    • /
    • 2016
  • The purpose of study was to examine the entrepreneurial supporting policy and the entrepreneurship which can affect the entrepreneurial intention, and to prove the moderating effect of the business failure burden and the self-efficacy on the relationship of the entrepreneurial supporting policy, entrepreneurship and the entrepreneurial intention through the empirical study in the fusion of industries. We used data from 321 survey participants by using structured questionnaires, excluding dishonest respondents, and statistical analysis was conducted using SPSS 18.0 statistic package. We used hierarchical regression technique to prove our hypothesis. The results showed that education and marketing support which are part of the entrepreneurial supporting policy in the fusion of industries will have positive influence on innovativeness, pro-activeness and risk acceptability which are part of entrepreneurship. It has been reported that only funding support has positive influence on entrepreneurship pro-activeness. The results also indicated that the entrepreneurial supporting policy will have positive influence on the entrepreneurial intention, but business failure burden and self-efficacy will have no moderating effect in the relation between the entrepreneurial supporting policy and the entrepreneurship. The theoretical and practical implications of the findings were discussed and the directions for future research were presented.

Development of Low-Power IoT Sensor and Cloud-Based Data Fusion Displacement Estimation Method for Ambient Bridge Monitoring (상시 교량 모니터링을 위한 저전력 IoT 센서 및 클라우드 기반 데이터 융합 변위 측정 기법 개발)

  • Park, Jun-Young;Shin, Jun-Sik;Won, Jong-Bin;Park, Jong-Woong;Park, Min-Yong
    • Journal of the Computational Structural Engineering Institute of Korea
    • /
    • v.34 no.5
    • /
    • pp.301-308
    • /
    • 2021
  • It is important to develop a digital SOC (Social Overhead Capital) maintenance system for preemptive maintenance in response to the rapid aging of social infrastructures. Abnormal signals induced from structures can be detected quickly and optimal decisions can be made promptly using IoT sensors deployed on the structures. In this study, a digital SOC monitoring system incorporating a multimetric IoT sensor was developed for long-term monitoring, for use in cloud-computing server for automated and powerful data analysis, and for establishing databases to perform : (1) multimetric sensing, (2) long-term operation, and (3) LTE-based direct communication. The developed sensor had three axes of acceleration, and five axes of strain sensing channels for multimetric sensing, and had an event-driven power management system that activated the sensors only when vibration exceeded a predetermined limit, or the timer was triggered. The power management system could reduce power consumption, and an additional solar panel charging could enable long-term operation. Data from the sensors were transmitted to the server in real-time via low-power LTE-CAT M1 communication, which does not require an additional gateway device. Furthermore, the cloud server was developed to receive multi-variable data from the sensor, and perform a displacement fusion algorithm to obtain reference-free structural displacement for ambient structural assessment. The proposed digital SOC system was experimentally validated on a steel railroad and concrete girder bridge.

Normalized Digital Surface Model Extraction and Slope Parameter Determination through Region Growing of UAV Data (무인항공기 데이터의 영역 확장법 적용을 통한 정규수치표면모델 추출 및 경사도 파라미터 설정)

  • Yeom, Junho;Lee, Wonhee;Kim, Taeheon;Han, Youkyung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.37 no.6
    • /
    • pp.499-506
    • /
    • 2019
  • NDSM (Normalized Digital Surface Model) is key information for the detailed analysis of remote sensing data. Although NDSM can be simply obtained by subtracting a DTM (Digital Terrain Model) from a DSM (Digital Surface Model), in case of UAV (Unmanned Aerial Vehicle) data, it is difficult to get an accurate DTM due to high resolution characteristics of UAV data containing a large number of complex objects on the ground such as vegetation and urban structures. In this study, RGB-based UAV vegetation index, ExG (Excess Green) was used to extract initial seed points having low ExG values for region growing such that a DTM can be generated cost-effectively based on high resolution UAV data. For this process, local window analysis was applied to resolve the problem of erroneous seed point extraction from local low ExG points. Using the DSM values of seed points, region growing was applied to merge neighboring terrain pixels. Slope criteria were adopted for the region growing process and the seed points were determined as terrain points in case the size of segments is larger than 0.25 ㎡. Various slope criteria were tested to derive the optimized value for UAV data-based NDSM generation. Finally, the extracted terrain points were evaluated and interpolation was performed using the terrain points to generate an NDSM. The proposed method was applied to agricultural area in order to extract the above ground heights of crops and check feasibility of agricultural monitoring.

Classical Art and Digital (고전예술과 디지털)

  • PARK, Youjung
    • Trans-
    • /
    • v.4
    • /
    • pp.1-36
    • /
    • 2018
  • This paper summarizes some of the contents of the 7th International Symposium "Classical Art and Digital" of the Transmedia Institute(TMI), held on October 31, 2017. The purpose of this year's International Symposium was to look back on the genre and the aesthetic history of classical art and to create a place for discourse about the recognition of classical art in the modern digital era. In the first part of the discussion about the duplication of the original and virtual imitation, three presentations on "Visual Image Art and Digital" were introduced. The conclusion of this first discussion is summarized by urging the movement of viewpoint as 'systematic change of the routine aesthetic process'. In the second part on "Performing Arts and Digital", we realize that we need to definitize the 'new directive term system' necessary for the era of digital convergence and performance. In this process we can refer to the need for the emergence of a new aesthetic basis. Two papers in the second part of the paper will introduce the study of 'dance' performance. Some of these studies are reintroduced at the conclusion. The theme of this year's International Symposium can be expected to provide a foothold for the forthcoming second 'Laocoon sculpture argue'. In short, behind the various controversies in the history of aesthetics, this year's conference is concluded with a call for the need to flexibly read the enormous flow of 'art' and 'mental heritage left by art'. It is said that this year's international conferences are presenting the basis of practical and systematic theories for the upcoming fusion media era.

  • PDF

A Study on Intelligent Production Information in Digital Convergence (디지털 컨버전스에서의 지능적 생산정보화에 관한 연구)

  • Lee, Seong-Hoon;Lee, Dong-Woo
    • Journal of Digital Convergence
    • /
    • v.12 no.2
    • /
    • pp.295-300
    • /
    • 2014
  • In information society, Convergence was combined with a word 'digital'. Digital convergence means a service or new product which appeared through fusion of unit technologies in information and communication regions. The effects of convergence technologies and social phenomenons are visualized in overall regions of society such as economy, society, culture, etc. Nowadays, manufacturing field are facing new challenges, through digital information and global integration, toward sophisticated production. This paper presents the system configuration and issues of current manufacturing execution system(MES), and describes major issues and solving elements to establish a MES system for cloud services. Also, we propose a method for building a manufacturing information system to have the optimized production flow and to respond appropriately to consumer market.

A Study on Digital Convergence Related with Our Life using ICT (ICT를 이용한 생활 밀착형 디지털 컨버전스에 관한 연구)

  • Lee, Seong-Hoon
    • Journal of Digital Convergence
    • /
    • v.11 no.11
    • /
    • pp.429-434
    • /
    • 2013
  • In 2011, Government introduced "IT Convergence Technology Prediction Survey 2025". This report includes 10 ICT industries. Convergence was combined with a word 'digital'. Digital convergence means a service or new product which appeared through fusion of unit technologies in information and communication regions. The effects of convergence technologies and social phenomenons are visualized in overall regions of society such as economy, society, culture, etc. In this paper, we described a prospects and technologies needed in digital convergence environment. And we described IT-Building, IT-Car, IT-Medicine, IT-Textile which was related with our lives in today among 10 ICT industries.