• Title/Summary/Keyword: Data Fusion System

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A Study on the Factors Influencing the Competitiveness of Small and Medium Companies Applied with Smart Factory System (스마트공장 시스템 구축이 중소기업 경쟁력에 미치는 요인에 관한 연구)

  • Young-Hwan Choi;Sang Hyun Choi
    • Information Systems Review
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    • v.19 no.2
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    • pp.95-113
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    • 2017
  • The advent of information communication technology or the Fourth Industrial Revolution facilitated the fusion of equipment and management systems, such as Manufacturing Execution System, Enterprise Resource Planning, and Product Lifecycle Management, in the successful implementation of smart factories. The government supports the early adoption of these systems in small and medium companies to enhance their global competitiveness in producing products that can be recognized in a dramatically changing manufacturing environment. This study introduces smart factories to improve company competitiveness and address influences from the government assistance, CEO leadership, external consultancy, and organizational participation. We analyzed 101 results received from the questionnaires circulated to small- and medium-sized manufacturing companies. Given a successful smart factory implementation, company competitiveness is the factor that mostly influences organizational participation, government assistance, external consultancy, and CEO leadership. This study suggests several perspectives to implement a smart factory, which is the most important aspect of company competitiveness.

An Ontology-based Collaboration System for Service Interoperability (온톨로지 기반의 서비스 상호운용을 위한 협업 시스템)

  • Hwang, Chi-Gon;Moon, Seok-Jae;Jung, Kye-Dong;Choi, Young-Keun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.1
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    • pp.210-217
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    • 2013
  • The development of collaboration among information systems in accordance with changes in enterprises' business environment brings about the problems of duplication of the existing business services and increase in costs of maintenance. Accordingly, Web service has been suggested as the standard of distributed computing to prevent the duplication of services within the same business domain and to attain the services that are already being utilized. But since the data needed for Web services are not standardized, it is difficult for the users to find services that meet diverse business purposes. In this paper, we construct an ontology-based collaboration system for service interoperability. The ontology can support fusion service by finding services which are existed interdependently under the distributed environment for collaboration processing. The role of the collaborative system includes development, registration and call of services based on ontology. A local systems request collaboration support through the service profile. Collaborative system supports the development of service using the service profiles, represents the semantic association between real data through system ontology, and infers relationship between instances contained in the services. Based on this, we applied the travel booking services for collaboration system. As a result, service can be managed effectively preventing collision in collaborative system, and we verify that the mapping between system is reduced.

Ontology-Based Dynamic Context Management and Spatio-Temporal Reasoning for Intelligent Service Robots (지능형 서비스 로봇을 위한 온톨로지 기반의 동적 상황 관리 및 시-공간 추론)

  • Kim, Jonghoon;Lee, Seokjun;Kim, Dongha;Kim, Incheol
    • Journal of KIISE
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    • v.43 no.12
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    • pp.1365-1375
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    • 2016
  • One of the most important capabilities for autonomous service robots working in living environments is to recognize and understand the correct context in dynamically changing environment. To generate high-level context knowledge for decision-making from multiple sensory data streams, many technical problems such as multi-modal sensory data fusion, uncertainty handling, symbolic knowledge grounding, time dependency, dynamics, and time-constrained spatio-temporal reasoning should be solved. Considering these problems, this paper proposes an effective dynamic context management and spatio-temporal reasoning method for intelligent service robots. In order to guarantee efficient context management and reasoning, our algorithm was designed to generate low-level context knowledge reactively for every input sensory or perception data, while postponing high-level context knowledge generation until it was demanded by the decision-making module. When high-level context knowledge is demanded, it is derived through backward spatio-temporal reasoning. In experiments with Turtlebot using Kinect visual sensor, the dynamic context management and spatio-temporal reasoning system based on the proposed method showed high performance.

Automatic Building Extraction Using LIDAR and Aerial Image (LIDAR 데이터와 수치항공사진을 이용한 건물 자동추출)

  • Jeong, Jae-Wook;Jang, Hwi-Jeong;Kim, Yu-Seok;Cho, Woo-Sug
    • Journal of Korean Society for Geospatial Information Science
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    • v.13 no.3 s.33
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    • pp.59-67
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    • 2005
  • Building information is primary source in many applications such as mapping, telecommunication, car navigation and virtual city modeling. While aerial CCD images which are captured by passive sensor(digital camera) provide horizontal positioning in high accuracy, it is far difficult to process them in automatic fashion due to their inherent properties such as perspective projection and occlusion. On the other hand, LIDAR system offers 3D information about each surface rapidly and accurately in the form of irregularly distributed point clouds. Contrary to the optical images, it is much difficult to obtain semantic information such as building boundary and object segmentation. Photogrammetry and LIDAR have their own major advantages and drawbacks for reconstructing earth surfaces. The purpose of this investigation is to automatically obtain spatial information of 3D buildings by fusing LIDAR data with aerial CCD image. The experimental results show that most of the complex buildings are efficiently extracted by the proposed method and signalize that fusing LIDAR data and aerial CCD image improves feasibility of the automatic detection and extraction of buildings in automatic fashion.

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Comparison between TCDD and 3MC Action on CYPIAI Expression and EROD Activity in the Isolated Perfused Male Rat Liver

  • Ahn, Mee R.;Sheen, Yhun Y.
    • Biomolecules & Therapeutics
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    • v.6 no.4
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    • pp.351-357
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    • 1998
  • In order to understand the mechanism of the regulation of CYPIAI gene expression and ethoxy-resorufin deethylase (EROD) activity in ex vivo system, we have studied the action of TCDD and 3MC in theisolated perfused male rat liver. CYPIAI myNA level and EROD activity were measured in rat liver that wasisolated and perfused with va.ious chemicals such as 2,3,7,8-tet.achlorodibenzo-p-dioxin (TCDD), 3-methyl-cholanthrene (3MC), $17{\beta}$-est.adios ($E_2$), morin. TCDD or 3MC alone perfusion into male rat liver resulted in increase of CYPIAI mRNA level and the magnitude of stimulation was one and half times higher with TCDD treatment than 3MC treatment. However $E_2$ perfusion into male rat liver showed slight stimulation of CYPIAI mRNA level. When $10_{-8}$ M $E_2$ was perfused concomitantly with either $10_{-9}$ M TCDD or $10_{-9}$ M 3MC, stimulated CYPIAI mRNA by either TCDD or 3MC was inhibited. Morin was examined for its effects on CYPIAI mRNA level and result was similar to that was observed with estrogen except that morin alone did not change the level of CYPIAI mRNA. EROD activity was also stimulated with either TCDD or 3MC perfusion, and the magnitude of EROD stiumlation was similar to that of CYPIAI mRNA stimulation in response to TCDD or 3MC perfusion. This data is different from the data that we have obtained with female rat liver. Concomitant perfusion either $E_2$ or morin with TCDD or 3MC inhibited 3MC perFusion or TCDD perfusion stimulated EROD activity. These data confirm the hypothesis that TCDD and 3MC might act through the same mechanism of action on the regulation of CYPIAI gene expression in male rat liver.

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Active ITS Infrastructure Management Strategy for Enhanced ITS Service (기존 ITS 서비스의 성능 강화를 위한 능동형 ITS 인프라 관리 전략)

  • Choi, Dongwon
    • The Journal of the Korea Contents Association
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    • v.14 no.9
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    • pp.45-53
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    • 2014
  • In this study, we analyzed the next generation ITS (C-ITS) technology trends, focusing on the national and international C-ITS projects. Based on the promotion practices of developed countries, we pointed out the lack of linkages with the existing ITS infrastructure. As a way to overcome this problem, we proposed the three-direction to enable the existing ITS infrastructure corresponding to the C-ITS. First one is developing a technique to improve the performance of the existing ITS infrastructure and automate the performance management (Performance-enhanced ITS). Second, developing active sensors or fusion sensor which along with V2X communication technology implement of an active safety driving support system (Safety-enhanced ITS). Third, we need to develop a technology that generate the new advanced traffic data by integrating the collected data from existing ITS infrastructure and nomadic device (Cloud-ITS). By improving the function of the existing ITS infrastructure for adaptation to the new V2X communication environment, we enhanced the efficiency of maintenance performance and would maximize the benefit of the introduction of C-ITS.

Improved Motion-Recognizing Remote Controller for Realistic Contents (실감형 컨텐츠를 위한 향상된 동작 인식 리모트 컨트롤러)

  • Park, Gun-Hyuk;Kim, Sang-Ki;Yim, Sung-Hoon;Han, Gab-Jong;Choi, Seung-Moon;Choi, Seung-Jin;Eoh, Hong-Jun;Cho, Sun-Young
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.396-401
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    • 2009
  • This paper describes the improvements made on hardware and software of the remote controller for realistic contents. The controller can provide vibrotactile feedback which uses both of a voice-coil actuator and a vibration motor. A vision tracking system for the 3D position of the controller is optimized with respect to the marker size and the camera parameters. We also present the improvements of motion recognition due to the effective motion segmentation and the fusion of vision and acceleration data. We apply the developed controller to realistic contents and validate its usability.

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Vision-based full-field panorama generation by UAV using GPS data and feature points filtering

  • Guo, Yapeng;Xu, Yang;Niu, Haowei;Li, Zhonglong;E., Yuhui;Jiao, Xinghua;Li, Shunlong
    • Smart Structures and Systems
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    • v.25 no.5
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    • pp.631-641
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    • 2020
  • To meet the urgent requirements of safety surveillance from civil engineering management authorities, this study proposes a refined and efficient approach to generate full-field high-resolution panorama of construction sites using camera-amounted UAV (Unmanned Aerial Vehicle). GPS (Global Position System) information extraction for pre-registration, feature points filtering for efficient registration and optimal seaming line seeking for fusion are performed in sequence to form the full-field panorama generation framework. Advantages of the proposed method are as follows. First, GPS information can sort images for pre-registration, avoiding inefficient repeated pairwise calculations and matching. Second, the feature points are filtered according to the characteristics of the construction site images to reduce the amount of calculation. The proposed framework is validated on a road construction site and results demonstrate that it can generate an accurate and high-quality full-site panorama for the safety supervision in a much efficient manner.

Steering Gaze of a Camera in an Active Vision System: Fusion Theme of Computer Vision and Control (능동적인 비전 시스템에서 카메라의 시선 조정: 컴퓨터 비전과 제어의 융합 테마)

  • 한영모
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.41 no.4
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    • pp.39-43
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    • 2004
  • A typical theme of active vision systems is gaze-fixing of a camera. Here gaze-fixing of a camera means by steering orientation of a camera so that a given point on the object is always at the center of the image. For this we need to combine a function to analyze image data and a function to control orientation of a camera. This paper presents an algorithm for gaze-fixing of a camera where image analysis and orientation control are designed in a frame. At this time, for avoiding difficulties in implementing and aiming for real-time applications we design the algorithm to be a simple closed-form without using my information related to calibration of the camera or structure estimation.

Robust Hand Tracking and Recognition System Using Multiple Feature Data Fusion (다중 특징을 이용한 견고한 손추척 및 인식 시스템)

  • Chun, Sung-Yong;Park, Shin-Won;Jang, Ho-Jin;Lee, Chan-Su;Sohn, Myoung-Gyu;Lee, Sang-Heon
    • Proceedings of the Korean Information Science Society Conference
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    • 2010.06c
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    • pp.490-495
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    • 2010
  • 본 연구에서는 효과적인 손 제스처 인식을 위하여 다중 특징을 이용한 견고한 손 추적 방법을 제시한다. 기존의 많은 손추적 장치들이 칼라 정보나 모션 정보와 같은 단일한 정보를 바탕으로 손을 검출하고, 이를 바탕으로 손의 추적하는 방법들을 제시하고 있다. 이러한 방법들의 경우에는 손 추적 중에 환경이나 상황이 변하게 되면, 손추적의 정확도가 현저하게 떨어지게 된다. 본 연구에서는 이러한 문제점들을 보완하기 위하여, Adaboost를 이용한 손 검출, 역투영을 기반으로 손 색상을 이용한 추적, KLT를 바탕으로 한 모션 추적을 이용한 검출을 동시에 수행하며, 각 센서의 추적 결과에 대한 칼만 필터 적용뿐 아니라, 각 센서 정보를 통합하여 견고한 결과를 얻기 위한 방법을 제시한다. 이를 바탕으로 손제스처 인식 시스템을 개발하였으며, 개발된 제스처 인식을 바탕으로 비디오 플레이를 제어하는 시스템을 구현하였다.

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