The Experts below are selected from a list of 90930 Experts worldwide ranked by ideXlab platform
Wan Kyun Chung - One of the best experts on this subject based on the ideXlab platform.
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ICRA - Feedback control of inertial focusing using real-time extraction of equilibrium positions
2016 IEEE International Conference on Robotics and Automation (ICRA), 2016Co-Authors: Junsu Kang, Wan Kyun ChungAbstract:Inertial microfluidics has facilitated promising applications of lab-on-a-chip devices for high-throughput biological analysis. However, as the mechanism of inertial microfluidics remains largely unknown, there are many difficulties in obtaining the desired equilibrium positions; hence, most researchers have tried to modify the channel geometry to obtain the desired equilibrium positions. In this paper, to improve the consistency of inertial focusing experiments, we apply feedback control to inertial focusing devices. The feedback control was realized by an Image Processing Algorithm for real-time measurement of equilibrium positions using a high-speed vision system. The proposed Image Processing Algorithm and feedback control scheme were verified through experiments.
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ICRA - A hybrid actuator system for single particle manipulation on a microfluidic chip
2015 IEEE International Conference on Robotics and Automation (ICRA), 2015Co-Authors: Junsu Kang, Makoto Kaneko, Wan Kyun ChungAbstract:We developed a ‘hybrid actuator system’ to precisely control the position of a micro-particle at high speed in a microfluidic chip. The hybrid actuator system benefits from two actuator systems by combining an electroosmotic flow generator and pressure-driven flow induced by a piezoelectric actuator-driven syringe pump system. We also implement an Image Processing Algorithm using a high speed vision system and design a supervisory controller for the hybrid actuator system to apply it to a microfluidic system. The proposed system can be used to overcome current limitations of conventional pump systems for microfluidic devices.
Twan Basten - One of the best experts on this subject based on the ideXlab platform.
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exploring the trade off between Processing resources and settling time in Image based control through lqr tuning
Symposium on Applied Computing, 2017Co-Authors: Róbinson Medina, Sander Stuijk, Dip Goswami, Twan BastenAbstract:Image-Based control systems extract information by a camera and an Image Processing Algorithm. The challenge of such controllers is that the sensing latency deteriorates the control performance. Multi-core technology can be used to implement the sensing Algorithm in a pipelined fashion. More Processing resources potentially lead to better settling time. This results in a trade-off between resources and performance. We present a method to analyse this trade-off.
Shinichiro Mori - One of the best experts on this subject based on the ideXlab platform.
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real time Image Processing Algorithm for markerless tumour tracking using x ray fluoroscopic imaging
British Journal of Radiology, 2014Co-Authors: Shinichiro MoriAbstract:Objective:To ensure accuracy in respiratory-gating treatment, X-ray fluoroscopic imaging is used to detect tumour position in real time. Detection accuracy is strongly dependent on Image quality, particularly positional differences between the patient and treatment couch. We developed a new Algorithm to improve the quality of Images obtained in X-ray fluoroscopic imaging and report the preliminary results.Methods:Two oblique X-ray fluoroscopic Images were acquired using a dynamic flat panel detector (DFPD) for two patients with lung cancer. The weighting factor was applied to the DFPD Image in respective columns, because most anatomical structures, as well as the treatment couch and port cover edge, were aligned in the superior–inferior direction when the patient lay on the treatment couch. The weighting factors for the respective columns were varied until the standard deviation of the pixel values within the Image region was minimized. Once the weighting factors were calculated, the quality of the DFPD i...
Gerd Wanielik - One of the best experts on this subject based on the ideXlab platform.
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radar and vision based data fusion advanced filtering techniques for a multi object vehicle tracking system
IEEE Intelligent Vehicles Symposium, 2008Co-Authors: Eric Richter, Robin Schubert, Gerd WanielikAbstract:The robust and reliable detection of objects in the path of a vehicle is an important prerequisite for collision avoidance and collision mitigation systems. In this paper, an ego-motion compensated tracking approach is presented which combines radar observations with the results of a contour-based Image Processing Algorithm. The approach is able to handle all uncertainties of the system in a unified way without analytical linearization by using the Unscented transform. By that, the covariances of the system can be estimated more accurately. The paper describes both the Image Processing and the state estimation Algorithms. Furthermore, results of several practical tests are presented.
Junsu Kang - One of the best experts on this subject based on the ideXlab platform.
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ICRA - Feedback control of inertial focusing using real-time extraction of equilibrium positions
2016 IEEE International Conference on Robotics and Automation (ICRA), 2016Co-Authors: Junsu Kang, Wan Kyun ChungAbstract:Inertial microfluidics has facilitated promising applications of lab-on-a-chip devices for high-throughput biological analysis. However, as the mechanism of inertial microfluidics remains largely unknown, there are many difficulties in obtaining the desired equilibrium positions; hence, most researchers have tried to modify the channel geometry to obtain the desired equilibrium positions. In this paper, to improve the consistency of inertial focusing experiments, we apply feedback control to inertial focusing devices. The feedback control was realized by an Image Processing Algorithm for real-time measurement of equilibrium positions using a high-speed vision system. The proposed Image Processing Algorithm and feedback control scheme were verified through experiments.
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ICRA - A hybrid actuator system for single particle manipulation on a microfluidic chip
2015 IEEE International Conference on Robotics and Automation (ICRA), 2015Co-Authors: Junsu Kang, Makoto Kaneko, Wan Kyun ChungAbstract:We developed a ‘hybrid actuator system’ to precisely control the position of a micro-particle at high speed in a microfluidic chip. The hybrid actuator system benefits from two actuator systems by combining an electroosmotic flow generator and pressure-driven flow induced by a piezoelectric actuator-driven syringe pump system. We also implement an Image Processing Algorithm using a high speed vision system and design a supervisory controller for the hybrid actuator system to apply it to a microfluidic system. The proposed system can be used to overcome current limitations of conventional pump systems for microfluidic devices.