• 제목/요약/키워드: Data fusion system

검색결과 586건 처리시간 0.025초

An OS Platform Independent Architecture of Web-based Teleoperation for mobile robot

  • Ko, Deok-Hyeon;Lee, Soon-Geul
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.346-349
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    • 2004
  • The teleoperation system applies all of the industrial fields due to the development of the network infrastructure. It is one of the indispensable elements for controlling the robot at a remote sight and monitoring the limit or unknown environment. The common teleoperation robot system is what has the visual module to supply the network system and realistic UI to the existed robot system. Therefore, remarked that the fusion between modules and transmission of visual data the remarked the important element to improve the robot application in the various environments. Delay of development time by robot platform and noneffective communication among developers are also problem to approach. In this paper we propose the independent teleoperation system. The main application language is JAVA in this system, which is applied JAVA API like JNI and JMF to construct the effective teleoperation system. The system has the both side communication system between sever and client as a basic structure. The visual data that is attached the robot at a remote sight is captured by JMF API and then is transmitted to the web browser called client by RTR protocol. JNI is used to connect between JAVA and the lower part application (sensor fusion, motion control.) of the robot programmed by various Native languages. The proposed system is the application that can perform the elements, for instance transmission of visual data, the fusion of various native application modules and the effective network communication, with any platform.

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MULTI-SENSOR DATA FUSION FOR FUTURE TELEMATICS APPLICATION

  • Kim, Seong-Baek;Lee, Seung-Yong;Choi, Ji-Hoon;Choi, Kyung-Ho;Jang, Byung-Tae
    • Journal of Astronomy and Space Sciences
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    • 제20권4호
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    • pp.359-364
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    • 2003
  • In this paper, we present multi-sensor data fusion for telematics application. Successful telematics can be realized through the integration of navigation and spatial information. The well-determined acquisition of vehicle's position plays a vital role in application service. The development of GPS is used to provide the navigation data, but the performance is limited in areas where poor satellite visibility environment exists. Hence, multi-sensor fusion including IMU (Inertial Measurement Unit), GPS(Global Positioning System), and DMI (Distance Measurement Indicator) is required to provide the vehicle's position to service provider and driver behind the wheel. The multi-sensor fusion is implemented via algorithm based on Kalman filtering technique. Navigation accuracy can be enhanced using this filtering approach. For the verification of fusion approach, land vehicle test was performed and the results were discussed. Results showed that the horizontal position errors were suppressed around 1 meter level accuracy under simulated non-GPS availability environment. Under normal GPS environment, the horizontal position errors were under 40㎝ in curve trajectory and 27㎝ in linear trajectory, which are definitely depending on vehicular dynamics.

메카트로닉스산업의 PC 융합 촉진을 위한 기술정책 방향 (Policy Directions for Boosting Fusion of PC in the Mechatronics Industry:)

  • 이공래
    • 한국기술혁신학회:학술대회논문집
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    • 한국기술혁신학회 2000년도 춘계학술대회
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    • pp.154-173
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    • 2000
  • Since computerized numerical controller (CNC) emerged as a result of the fusion of the electronics technology and the mechanical technology, there has been continuous evolution of CNC technology in the mechatronics industry. The industry is recently developing a new control system based on the fusion of personal computer (PC) and CNC. Upgraded PC has now integrated into CNC, making various machines possible to exchange data, software and hardware, and to greatly improve man-machine interface. The fusion of PC and CNC can form a new paradigm in technological innovation of not only control system but also whole machinery industry in near the future. Korea lagged behind the developed countries in the development of open control system with the fusion of PC. Turbo-tek, Hyundai Motor and Daewoo are leading companies, but their commercial possibility seems to be low because domestic market is too small to reap a commercial benefit. Nevertheless, the development of the system is an essential step for Korea to embark on a future technological paradigm of the machinery industry. The government needs to play some role for the development, for instance, government R&D projects, institutional building and training of related technicians.

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A Study on Mobile Robot Navigation Using a New Sensor Fusion

  • Tack, Han-Ho;Jin, Tae-Seok;Lee, Sang-Bae
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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    • pp.471-475
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    • 2003
  • This paper proposes a sensor-fusion technique where the data sets for the previous moments are properly transformed and fused into the current data sets to enable accurate measurement, such as, distance to an obstacle and location of the service robot itself. In the conventional fusion schemes, the measurement is dependent on the current data sets. As the results, more of sensors are required to measure a certain physical parameter or to improve the accuracy of the measurement. However, in this approach, instead of adding more sensors to the system, the temporal sequence of the data sets are stored and utilized for the measurement improvement. Theoretical basis is illustrated by examples and the effectiveness is proved through the simulations. Finally, the new space and time sensor fusion (STSF) scheme is applied to the control of a mobile robot in an unstructured environment as well as structured environment.

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상관계수를 이용하여 인식률을 향상시킨 rank-level fusion 방법 (Rank-level Fusion Method That Improves Recognition Rate by Using Correlation Coefficient)

  • 안정호;정재열;정익래
    • 정보보호학회논문지
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    • 제29권5호
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    • pp.1007-1017
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    • 2019
  • 현재 대부분의 생체인증 시스템은 단일 생체정보를 이용하여 사용자를 인증하고 있는데, 이러한 방식은 노이즈로 인한 문제, 데이터에 대한 민감성 문제, 스푸핑, 인식률의 한계 등 많은 문제점들을 가지고 있다. 이를 해결하기 위한 방법 중 하나로 다중 생체정보를 이용하는 방법이 제시되고 있다. 다중 생체인증 시스템은 각각의 생체정보에 대해서 information fusion을 수행하여 새로운 정보를 생성한 뒤, 그 정보를 활용하여 사용자를 인증하는 방식이다. Information fusion 방법들 중에서 score-level fusion 방법을 보편적으로 많이 사용한다. 하지만 정규화 작업이 필요하다는 문제점을 갖고 있고, 데이터가 같아도 정규화 방법에 따라 인식률이 달라진다는 문제점을 갖고 있다. 이에 대한 대안으로 정규화 작업이 필요 없는 rank-level fusion 방법이 제시되고 있다. 하지만 기존의 rank-level fusion 방법들은 score-level fusion 방법보다 인식률이 낮다. 이러한 문제점을 해결하기 위해 상관계수를 이용하여 score-level fusion 방법보다 인식률이 높은 rank-level fusion 방법을 제안한다. 실험은 홍채정보(CASIA V3)와 얼굴정보(FERET V1)를 이용하여 기존의 존재하는 rank-level fusion 방법들의 인식률과 본 논문에서 제안하는 fusion 방법의 인식률을 비교하였다. 또한 score-level fusion 방법들과도 인식률을 비교하였다. 그 결과로 인식률이 약 0.3%에서 3.3%까지 향상되었다.

지진하중 및 임의의 하중을 받는 배관 시스템에 대한 응답을 추정하기 위한 데이터 기반 디지털 트윈 (Data-Driven Digital Twin for Estimating Response of Pipe System Subjected to Seismic Load and Arbitrary Loads)

  • 김동창;김건규;곽신영;임승현
    • 한국지진공학회논문집
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    • 제27권6호
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    • pp.231-236
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    • 2023
  • The importance of Structural Health Monitoring (SHM) in the industry is increasing due to various loads, such as earthquakes and wind, having a significant impact on the performance of structures and equipment. Estimating responses is crucial for the effective health management of these assets. However, using numerous sensors in facilities and equipment for response estimation causes economic challenges. Additionally, it could require a response from locations where sensors cannot be attached. Digital twin technology has garnered significant attention in the industry to address these challenges. This paper constructs a digital twin system utilizing the Long Short-Term Memory (LSTM) model to estimate responses in a pipe system under simultaneous seismic load and arbitrary loads. The performance of the data-driven digital twin system was verified through a comparative analysis of experimental data, demonstrating that the constructed digital twin system successfully estimated the responses.

A Visualization System for Multiple Heterogeneous Network Security Data and Fusion Analysis

  • Zhang, Sheng;Shi, Ronghua;Zhao, Jue
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권6호
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    • pp.2801-2816
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    • 2016
  • Owing to their low scalability, weak support on big data, insufficient data collaborative analysis and inadequate situational awareness, the traditional methods fail to meet the needs of the security data analysis. This paper proposes visualization methods to fuse the multi-source security data and grasp the network situation. Firstly, data sources are classified at their collection positions, with the objects of security data taken from three different layers. Secondly, the Heatmap is adopted to show host status; the Treemap is used to visualize Netflow logs; and the radial Node-link diagram is employed to express IPS logs. Finally, the Labeled Treemap is invented to make a fusion at data-level and the Time-series features are extracted to fuse data at feature-level. The comparative analyses with the prize-winning works prove this method enjoying substantial advantages for network analysts to facilitate data feature fusion, better understand network security situation with a unified, convenient and accurate mode.

다중센서자료 시뮬레이터 설계 및 자료융합 알고리듬 개발 (Design of a Multi-Sensor Data Simulator and Development of Data Fusion Algorithm)

  • 이용재;이자성;고선준;송종화
    • 한국항공우주학회지
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    • 제34권5호
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    • pp.93-100
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    • 2006
  • 본 논문에서는 레이더와 원격측정시스템으로부터 수신되는 다중센서자료를 모사하는 시뮬레이터 설계와 이들 자료를 융합하기 위한 알고리듬 개발에 대하여 소개한다. 설계된 데이터 시뮬레이터는 실제 센서 시스템으로부터 얻게 되는 시간의 비동기, 통신지연, 다중 갱신주기들을 갖는 모의센서 자료를 생성하며 실제적인 센서 모델을 이용하여 측정 잡음을 생성한다. 융합알고리듬은 센서 바이어스 상태를 고려한 PVA모델을 기초로 21차 분산형 칼만 필터로 설계되었고, 센서의 이상이나 정상적이 아닌 측정치를 검출하기 위한 로직도 포함되었다. 설계된 알고리듬을 시뮬레이터에서 생성한 모의 자료 및 실제 자료를 적용하여 검증하였다.

다중 센서 및 다중 전술데이터링크 환경 하에서의 표적정보 처리 기법 (Multi Sources Track Management Method for Naval Combat Systems)

  • 이호철;김태수;신형조
    • 제어로봇시스템학회논문지
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    • 제20권2호
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    • pp.126-131
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    • 2014
  • This paper is concerned with a track management method for a naval combat system which receives the tracks information from multi-sensors and multi-tactical datalinks. Since the track management of processing the track information from diverse sources can be formulated as a data fusion problem, this paper will deal with the data fusion architecture, track association and track information determination algorithm for the track management of naval combat systems.

Simulation of Mobile Robot Navigation based on Multi-Sensor Data Fusion by Probabilistic Model

  • Jin, Tae-seok
    • 한국산업융합학회 논문집
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    • 제21권4호
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    • pp.167-174
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    • 2018
  • Presently, the exploration of an unknown environment is an important task for the development of mobile robots and mobile robots are navigated by means of a number of methods, using navigating systems such as the sonar-sensing system or the visual-sensing system. To fully utilize the strengths of both the sonar and visual sensing systems, In mobile robotics, multi-sensor data fusion(MSDF) became useful method for navigation and collision avoiding. Moreover, their applicability for map building and navigation has exploited in recent years. In this paper, as the preliminary step for developing a multi-purpose autonomous carrier mobile robot to transport trolleys or heavy goods and serve as robotic nursing assistant in hospital wards. The aim of this paper is to present the use of multi-sensor data fusion such as ultrasonic sensor, IR sensor for mobile robot to navigate, and presents an experimental mobile robot designed to operate autonomously within indoor environments. Simulation results with a mobile robot will demonstrate the effectiveness of the discussed methods.