• Title/Summary/Keyword: Real-time evaluation

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A Development of Waveform Composition Program and Evaluation of Application on Site (파형합성 프로그램 개발 및 현장 적용성 평가)

  • Yoon, Ji-Sun;Woo, Taek-Gyu;Bae, Sang-Hoon
    • Explosives and Blasting
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    • v.27 no.1
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    • pp.38-46
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    • 2009
  • Recently, as a reduction method of vibration and noise, an electronic detonation which has an accuracy of time and a freedom of input delay time was introduced. A waveform composition program can determine a delay time and accomplish simulation under environment similar to real blast using a delay time. In this study, optimum delay time which controls vibration is obtained and real measurement vibration level is estimated by a waveform composition program.

Real-time Synchronization Algorithm for Industrial Hybrid Networks: CAN and Sensor Networks (공장 자동화용 혼합형 네트워크를 위한 실시간 동기화 알고리즘의 성능 분석: CAN과 센서 네트워크)

  • Jung, Ji-Won;Kim, Dong-Sung
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.2
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    • pp.194-201
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    • 2010
  • This paper discuss a performance evaluation of the synchronization algorithm for hybrid networks in industrial environments. The proposed algorithms minimizes synchronization errors which were caused from channel, Propagation, and frequency delays. The modified RBS and offset synchronization methods can be operated by adjustment parameters. The differential BP (Back-off Period) adjustment can synchronize the local time of each node with master node's time in hybrid networks. For the performance analysis, the data transmission time between the wired and wireless devices are investigated. The experimental results show the performance evaluations in terms of the polling service time and an average end-to-end delay.

Establishing a stability switch criterion for effective implementation of real-time hybrid simulation

  • Maghareh, Amin;Dyke, Shirley J.;Prakash, Arun;Rhoads, Jeffrey F.
    • Smart Structures and Systems
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    • v.14 no.6
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    • pp.1221-1245
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    • 2014
  • Real-time hybrid simulation (RTHS) is a promising cyber-physical technique used in the experimental evaluation of civil infrastructure systems subject to dynamic loading. In RTHS, the response of a structural system is simulated by partitioning it into physical and numerical substructures, and coupling at the interface is achieved by enforcing equilibrium and compatibility in real-time. The choice of partitioning parameters will influence the overall success of the experiment. In addition, due to the dynamics of the transfer system, communication and computation delays, the feedback force signals are dependent on the system state subject to delay. Thus, the transfer system dynamics must be accommodated by appropriate actuator controllers. In light of this, guidelines should be established to facilitate successful RTHS and clearly specify: (i) the minimum requirements of the transfer system control, (ii) the minimum required sampling frequency, and (iii) the most effective ways to stabilize an unstable simulation due to the limitations of the available transfer system. The objective of this paper is to establish a stability switch criterion due to systematic experimental errors. The RTHS stability switch criterion will provide a basis for the partitioning and design of successful RTHS.

Evaluation of Xenotropic Murine Leukemia Virus and its R426Q Polymorphism in Patients with Prostate Cancer in Kerman, Southeast of Iran

  • Reza, Malekpour Afshar;Fahimeh, Gadari;Reza, Mollaie Hamid
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.8
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    • pp.3669-3673
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    • 2012
  • A role for the xenotropic murine leukemia virus (XMRV) in prostate cancer development has been postulated. To answer questions regarding the prevalence of XMRV in Iranian patients with prostate cancer and its association with the RNASEL R462Q polymorphism, we here investigated a series of cases in Kerman, in the Southeast of Iran, and sought to verify the association with the R462Q using Real Time PCR Method. Prostate tissue specimens of 200 patients with prostate cancer were genotyped for R462Q by real time polymerase chain reaction allelic discrimination and were screened for XMRV proviral DNA by real time polymerase chain reaction specific for the envelope gene. Of 200 patients in this study 8 (4%) cases were positive for XMRV, the QQ allele being the most frequenct regarding the R426Q polymorphism while in negative patients it was the RQ allele. There was significant correlation between high pathological scores and XMRV positive samples. No significant relationship was found between age groups and XMRV results. XMRV was only found in patients with QQ and RQ alleles, not RR. XMRV is detectable in tumor prostate tissue from some patients with prostate cancer, independent of R462Q.

Design and Implementation of CCTV Remote Real-time Monitoring and Context Reporting System using Xcode (Xcode를 이용한 CCTV 원격 실시간 모니터링 및 상황 알림보고 시스템의 설계 및 구현)

  • Yang, Soo-Mi;Kim, Yu-Rim
    • Convergence Security Journal
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    • v.15 no.1
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    • pp.83-89
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    • 2015
  • In the wide area surveillance system including many CCTVs, application for remote realtime monitoring is designed and implemented. The applications using Xcode provide secure administrator interface from headquarters. Through the efficient and intuitive interface, it delivers real-time context reports and inference results. For the user convenience, it includes push alarm of events, SNS, Media streaming service for real-time monitoring uses Wirecast and Wowza media server. Wowza stream engine provides URL accommodating development specification. Mobile devices can receive real-time stream data. Performance evaluation in the processing is provided.

Real-time Water Quality Prediction for Evaluation of Influent Characteristics in a Full-scale Sewerage Treatment Plant (하수처리장 유입수의 특성평가를 위한 실시간 수질예측)

  • Kim, Youn-Kwon;Chae, Soo-Kwon;Han, In-Sun;Kim, Ju-Hwan
    • Journal of Environmental Impact Assessment
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    • v.19 no.6
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    • pp.617-623
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    • 2010
  • It is the most important subject to figure out characteristics of the wastewater inflows of sewerage treatment plant(STP) when situation models are applied to operation of the biological processes and in the automatic control based on ICA(Instrument, Control and Automation). For the purposes, real-time influent monitoring method has been applied by using on-line monitoring equipments for the process optimization in conventional STP. Since, the influent of STP is consist of complex components such as, COD, BOD, TN, $NH_4$-N, $NO_3$-N, TP and $PO_4$-P. MRA2(Microbial Respiration Analyzer 2), which is capable of real-time analyzing of wastewater characteristics is used to overcome the limitations and defects of conventional online monitoring equipments in this study. Rapidity, accuracy and stability of developed MRA2 are evaluated and compared with the results from on-line monitoring equipments for seven months after installation in Full-scale STP.

A Hardware Implementation for Real-Time Fingerprint Identification (실시간 지문식별을 위한 하드웨어 구현)

  • Kim Kichul;Kim Min;Chung Yongwha;Pan Sung Bum
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.14 no.6
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    • pp.79-89
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    • 2004
  • Fingerprint identification consists of user enrollment phase storing user's fingerprint in a database and user identification phase making a candidate list for a given fingerprint. straightforward approach to perform the user identification phase is to scan the entire database sequentially, and takes times for large-scale databases. In this paper, we develop a hardware design which can perform the user identification phase in real-time. Our design employs parallel processing techniques and has been implemented on a PCI-based platform containing an FPGA and SDRAMs. Based on the performance evaluation, our hardware implementation can provide a scalability and perform the fingerprint identification in real-time.

A Study on the Development of Adaptive Learning System through EEG-based Learning Achievement Prediction

  • Jinwoo, KIM;Hosung, WOO
    • Fourth Industrial Review
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    • v.3 no.1
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    • pp.13-20
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    • 2023
  • Purpose - By designing a PEF(Personalized Education Feedback) system for real-time prediction of learning achievement and motivation through real-time EEG analysis of learners, this system provides some modules of a personalized adaptive learning system. By applying these modules to e-learning and offline learning, they motivate learners and improve the quality of learning progress and effective learning outcomes can be achieved for immersive self-directed learning Research design, data, and methodology - EEG data were collected simultaneously as the English test was given to the experimenters, and the correlation between the correct answer result and the EEG data was learned with a machine learning algorithm and the predictive model was evaluated.. Result - In model performance evaluation, both artificial neural networks(ANNs) and support vector machines(SVMs) showed high accuracy of more than 91%. Conclusion - This research provides some modules of personalized adaptive learning systems that can more efficiently complete by designing a PEF system for real-time learning achievement prediction and learning motivation through an adaptive learning system based on real-time EEG analysis of learners. The implication of this initial research is to verify hypothetical situations for the development of an adaptive learning system through EEG analysis-based learning achievement prediction.

Real-time Position Estimation of Ships in Coast Area Based on Discrete Kalman Filter Reflecting Turning Angle Information (선회각 정보를 반영한 이산 칼만 필터 기반 연해 내 선박 실시간 위치 추정)

  • Yeong-Ha Shin
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.150-154
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    • 2022
  • The Automatic Ship Identification System(AIS) is importantly used to evaluate the trajectory of ships and the possibility of collision between ships. However, it is difficult to provide real-time information due to the limitation of the transmission intervals. Most of the studies to improve this are conducted based on ideal data, so there is a problem that it is hard to respond to the actual situation. Therefore, in this paper, we propose a discrete Kalman filter-based method that reflects the turning angle according to the type of trajectory, to provide real-time position information on real-time data. In addition, the accuracy evaluation of the proposed algorithm is conducted through experiments using actual data.

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