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Implementation of Motion Controller Using Network

  • Kim, Min-Kyu;Kim, Hyun-Suk;Yoo, Ho-Sun;Oh, Hak-Seo;Sung, Hak-Kyung
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.68.4-68
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    • 2001
  • In the area of factory automation (FA), a lot of researches are being executed about intelligent system using network. Conventional industry controllers are implemented the connection with other controllers by using asynchronous serial communications. These methods of communication have an advantage of easy implementation but have disadvantages of lack of real-time characteristics needed in motion control, slow baud rate too low to exchange required data sufficiently and low integrity because of different communication protocol. Serial real-time communication system (SERCOS) provides international standard communication specifications (IEC 61491) for interfacing between control units and drives from different manufacturers, has real-time ...

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Scheduling Method of Real-Time Mobile Transaction Manager considering Value of Transactions and Validity of Real-Time Data (트랜잭션의 중요도와 데이터의 유효성을 고려한 실시간 이동 트랜잭션 관리자의 스케줄링 기법)

  • Jo, Suk-Gyeong;Kim, Gyeong-Bae;Lee, Sun-Jo;Bae, Hae-Yeong
    • The KIPS Transactions:PartD
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    • v.8D no.5
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    • pp.533-542
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    • 2001
  • In this paper, we present a scheduling method for real-time mobile transaction manager in mobile computing environment. The proposed method checks whether a transaction is executable or not. It is able to by considering not only the deadline of real-time data in mobile hosts. And then, it schedules the real-time mobile transactions by making optimal execution window based on the priority queue, while considering transaction value and deadline. Disconnection with mobile hosts is monitored in selecting the transaction for execution. Using the proposed method reduces the number of restarting times after transaction aborts which is caused by the violation of the validity constraints of real-time data. And in has merits of maximizing the sum of values of real-time mobile transactions which meet the deadline. The performance evaluation demonstrates that the number of committed real-time transactions within the deadline is improved by 20%. This method can be used in real-time mobile transaction manager is such environments as cellular communications, emergency medicine information system and so on.

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Minimizing Data Frame in CAN Controller Area Network for Humanoid Robot (CAN 기반 휴머노이드 로봇에서의 데이터 프레임 최소화)

  • Kwon, Sun-Ku;Huh, Uk-Youl;Kim, Jin-Geol
    • Proceedings of the KIEE Conference
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    • 2005.07d
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    • pp.2806-2808
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    • 2005
  • The Controller Area Network (CAN) is being widely used for real-time control application and small-scale distributed computer controller systems. When the stuff bits are generated by bit-stuffing mechanism in the CAN network, it causes jitter including variations in response time and delay. In order to eliminate this jitter, stuff bit must be controlled to minimize the response time and reduce the variation of data transmission time. At first, this paper shows that conventional CAN protocol causes the transmission time delay. Secondly, this paper proposes the method to reduce the stuff bits by restriction of available identifier. Finally, data manipulation method can be reduced the number of stuff-bits in the data field. The proposed restriction method of ID and manipulating data field are pretty useful to the real-time control strategy with respect to performance. These procedures are implemented in local controllers of the ISHURO (Inha Semyung Humanoid Robot).

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Color Object Recognition and Real-Time Tracking using Neural Networks

  • Choi, Dong-Sun;Lee, Min-Jung;Choi, Young-Kiu
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.135-135
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    • 2001
  • In recent years there have been increasing interests in real-time object tracking with image information. Since image information is affected by illumination, this paper presents the real-time object tracking method based on neural networks that have robust characteristics under various illuminations. This paper proposes three steps to track the object and the fast tracking method. In the first step the object color is extracted using neural networks. In the second step we detect the object feature information based on invariant moment. Finally the object is tracked through a shape recognition using neural networks. To achieve the fast tracking performance, we have a global search for entire image and then have tracking the object through local search when the object is recognized.

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Accuracy Improvement of the Estimated Angle Using Phase Averaging in Phase-Comparison Monopulse Algorithm (위상 비교 모노 펄스 알고리즘에서 위상평균법을 이용한 추정 각도 정확도 향상)

  • Cho, Byung-Lae;Lee, Jung-Soo;Lee, Jong-Min;Sun, Sun-Gu
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.23 no.10
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    • pp.1212-1215
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    • 2012
  • This study describes the accuracy improvement of the estimated angle using phase averaging in phase-comparison monopulse algorithm. In addition, to compensate the time-delay due to the phase averaging, we propose the time-delay compensation algorithm which uses the derivative of the estimated angle. These derivative is calculated by the curve fitting method. Using the real radar interferometer, we have verified that the phase averaging and time-delay compensation algorithms are effective in real-time signal processing application.

Real-Time PCR Monitoring of Lactobacillus sake, Lactobacillus plantarum, and Lactobacillus paraplantarum during Kimchi Fermentation

  • Um, Sang-Hee;Shin, Weon-Sun;Lee, Jong-Hoon
    • Food Science and Biotechnology
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    • v.15 no.4
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    • pp.595-598
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    • 2006
  • Semi-quantitative monitoring of Lactobacillus sake and Lactobacillus plantarum, major and minor microorganisms in kimchi, respectively, and Lactobacillus paraplantarum, recently shown to be present in kimchi, was carried out by real-time polymerase chain reaction (PCR). Changes in the 3 species during kimchi fermentation were monitored by the threshold cycle ($C_T$) of real-time PCR. As fermentation proceeded at $15^{\circ}C$, the number of L. sake increased dramatically compared to those of L. plantarum and L. paraplantarum. During fermentation at $4^{\circ}C$, the growth rates of the 3 species decreased, but the proportions of L. plantarum and L. paraplantarum in the microbial ecosystem were almost constant. Considering the $C_T$ values of the first samples and the change in the $C_T$ value, the number of L. sake is no doubt greater than those of L. plantarum and L. paraplantarum in the kimchi ecosystem. L. sake seems to be one of the major microorganisms involved in kimchi fermentation, but there is insufficient evidence to suggest that L. plantarum is the primary acidifying bacterium.

Automatic real-time system of the global 3-D MHD model: Description and initial tests

  • Park, Geun-Seok;Choi, Seong-Hwan;Cho, Il-Hyun;Baek, Ji-Hye;Park, Kyung-Sun;Cho, Kyung-Suk;Choe, Gwang-Son
    • Bulletin of the Korean Space Science Society
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    • 2009.10a
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    • pp.26.2-26.2
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    • 2009
  • The Solar and Space Weather Research Group (SOS) in Korea Astronomy and Space Science Institute (KASI) is constructing the Space Weather Prediction Center since 2007. As a part of the project, we are developing automatic real-time system of the global 3-D magnetohydrodynamics (MHD) simulation. The MHD simulation model of earth's magnetosphere is designed as modified leap-frog scheme by T. Ogino, and it was parallelized by using message passing interface (MPI). Our work focuses on the automatic processing about simulation of 3-D MHD model and visualization of the simulation results. We used PC cluster to compute, and virtual reality modeling language (VRML) file format to visualize the MHD simulation. The system can show the variation of earth's magnetosphere by the solar wind in quasi real time. For data assimilation we used four parameters from ACE data; density, pressure, velocity of solar wind, and z component of interplanetary magnetic field (IMF). In this paper, we performed some initial tests and made a animation. The automatic real-time system will be valuable tool to understand the configuration of the solar-terrestrial environment for space weather research.

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Real-Time Automated Cardiac Health Monitoring by Combination of Active Learning and Adaptive Feature Selection

  • Bashir, Mohamed Ezzeldin A.;Shon, Ho Sun;Lee, Dong Gyu;Kim, Hyeongsoo;Ryu, Keun Ho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.1
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    • pp.99-118
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    • 2013
  • Electrocardiograms (ECGs) are widely used by clinicians to identify the functional status of the heart. Thus, there is considerable interest in automated systems for real-time monitoring of arrhythmia. However, intra- and inter-patient variability as well as the computational limits of real-time monitoring poses significant challenges for practical implementations. The former requires that the classification model be adjusted continuously, and the latter requires a reduction in the number and types of ECG features, and thus, the computational burden, necessary to classify different arrhythmias. We propose the use of adaptive learning to automatically train the classifier on up-to-date ECG data, and employ adaptive feature selection to define unique feature subsets pertinent to different types of arrhythmia. Experimental results show that this hybrid technique outperforms conventional approaches and is therefore a promising new intelligent diagnostic tool.