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IEEE International Conference on Automation Science and engineering (CASE)

作者： Sagar Chowdhury Atul Thakur Chenlu Wang Petr Svec Wolfgang Losert Satyandra K. Gupta The Department of Mechanical Engineering and the Institute for Systems Research University of Maryland College Park MD USA The Department of Mechanical Engineering University of Maryland College Park MD USA The Biophysics Program University of Maryland College Park MD USA The Department of Physics Institute for Physical Science and Technology and the Institute for Research in Electronics and Applied Physics University of Maryland College Park MD USA

Optical tweezers are used for manipulation of micron-sized dielectric beads and cells. Some biological cells are vulnerable to photo damage if subjected to laser-based direct manipulation. In such cases, precise manipulation of these cells can be accomplished by using gripper formations made up of silica beads, which are actuated by optical tweezers. Manual indirect manipulation of cells using grippers made of optically trapped beads is a time consuming process or sometimes just impossible. This paper presents an approach for automated micromanipulation using gripper formations and heuristic based path planning for collision-free transport of biological cells. The objective of the developed planner is to transport target cells to their respective goal positions in the minimum time. we evaluated the performance of different gripper formations in terms of gripper stability, speed of transport, and required laser power using experiments.

关键词： Grippers Charge carrier processes Biomedical optical imaging Laser stability Laser beams Educational institutions

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Gripper synthesis for indirect manipulation of cells using Holographic Optical Tweezers

Gripper synthesis for indirect manipulation of cells using H...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Sagar Chowdhury Petr Svec Chenlu Wang Wolfgang Losert Satyandra K. Gupta Department of Mechanical Engineering and The Institute for Systems Research University of Maryland College Park MD USA Department of Mechanical Engineering University of Maryland College Park MD USA Biophysics Program University of Maryland College Park MD USA Department of Physics Institute for Physical Science and Technology and the Institute forResearch in Electronics and Applied Physics University of Maryland College Park MD USA

Optical Tweezers (OT) are used for highly accurate manipulations of biological cells. However, the direct exposure of cells to focused laser beam may negatively influence their biological functions. In order to overcome this problem, we generate multiple optical traps to grab and move a 3D ensemble of inert particles such as silica microspheres to act as a reconfigurable gripper for a manipulated cell. The relative positions of the microspheres are important in order for the gripper to be robust against external environmental forces and the exposure of high intensity laser on the cell to be minimized. In this paper, we present results of different gripper configurations, experimentally tested using our OT setup, that provide robust gripping as well as minimize laser intensity experienced by the cell. We developed a computational approach that allowed us to perform preliminary modeling and synthesis of the gripper configurations. The gripper synthesis is cast as a multi-objective optimization problem.

关键词： Grippers Laser beams Biomedical optical imaging Silicon compounds Robustness Force Holography

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11th German Conference on Chemoinformatics (GCC 2015) Abstracts

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JOURNAL OF CHEMINFORMATICS 2016年第SUPPL 1期8卷 1-27页

作者： [Anonymous] GDCh-CIC Division Associated Board Member Beilstein-Institut zur Förderung der Chemischen Wissenschaften Trakehner Str. 7-9 60487 Frankfurt Germany. ufechner@beilstein-institut.de. Division Medicinal Chemistry Amsterdam Institute for Molecules Medicines and Systems (AIMMS) VU University Amsterdam The Netherlands. Centre for Bioinformatics Uni Hamburg Bundesstr. 43 20146 Hamburg Germany. Sanofi-Aventis Deutschland GmbH 65926 Frankfurt am Main Germany. stefan.guessregen@***. Sanofi-Aventis Deutschland GmbH 65926 Frankfurt am Main Germany. GlaxoSmithKline Stevenage SG1 2NY UK. nicola.j.richmond@***. Discngine Paris 75011 France. Organisch-Chemisches Institut Westfälische Wilhelms-Universität Münster Germany. marwin.segler@wwu.de. Organisch-Chemisches Institut Westfälische Wilhelms-Universität Münster Germany. Bundeskriminalamt Wiesbaden Central Analytics II 65173 Wiesbaden Germany. Department of Chemistry and Biochemistry University of California Santa Barbara CA 93111 USA. shea@chem.ucsb.edu. Department of Chemistry and Biochemistry University of California Santa Barbara CA 93111 USA. Chemistry Department Ludwig-Maximilians-Universität München Butenandtstr. 7 81377 Munich Germany. Inorganic Chemistry and Center for Nanointegration University of Duisburg-Essen Essen Germany. CAM-D Technologies Essen Germany. Institute for Bioinformatics and Chemoinformatics Westphalian University of Applied Sciences Recklinghausen Germany. Institute for Bioinformatics and Chemoinformatics Westphalian University of Applied Sciences Recklinghausen Germany. achim.zielesny@w-hs.de. Leiden University Leiden Netherlands. j.fraaije@chem.leidenuniv.nl. Culgi BV Berlin Germany. Physikalische Chemie III TU Dortmund 44227 Dortmund Germany. stefan.kast@tu-dortmund.de. Centre for Molecular Informatics Department of Chemistry University of Cambridge Lensfield Road Cambridge CB2 1EW United Kingdom. kcb27@cam.ac.uk. Centre for Molecular Informatics Department of Chemistry

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Decentralized Congestion Management in Stochastic Electric Power Markets with PHEV Penetration

Decentralized Congestion Management in Stochastic Electric P...

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IEEE Power and Energy Society General Meeting

作者： Bhuvaneswari Ramachandran Sanjeev Kumar Srivastava David A.Cartes an Assistant Scholar Scientist with the Center for Advanced Power Systems Florida State University Tallahassee FL-32310 USA. an Associate Scholar Scientist with the Center for Advanced Power Systems Florida State University Tallahassee FL-32310 USA Director Institute for Energy Systems Economics and Sustainability (IESES) Program Manager Center for Advanced Power Systems (CAPS) and a Professor in the Department of Mechanical Engineering at Florida State University Tallahassee FL-32310 USA

ISBN: (纸本)9781467327275

In this paper, we have proposed a congestion management scheme for smart grid infrastructures to control the power absorption from the grid in the presence of PHEVs connected to the distribution network. The decentralized solution that we have developed is based on game theory and is demonstrated to converge in a finite number of steps to a pure Nash equilibrium solution. This approach is implemented for managing the power absorbed from the grid and thereby the power bought from the grid through auctions taking place in a stochastic power and energy market. Various test cases have been developed based on the agents' strategies and also on the charging time and duration of PHEVs. The proposed approach was validated using these test cases, which were implemented in a multi agent framework.

关键词： Congestion management game theory multi agent systems Nash equivilibrium plug in hybrid vehicle stochastic power market

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Erratum: “Microbubble array for on-chip worm processing” [Appl. Phys. Lett. 102, 023702 (2013)]

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Applied Physics Letters 2013年第16期102卷

作者： Yuhao Xu Ali Hashmi Gan Yu Xiaonan Lu Hyuck-Jin Kwon Xiaolin Chen Jie Xu 1Mechanical Engineering Washington State University 14204 NE Salmon Creek Ave Vancouver Washington 98686 USA 2Food Nutrition and Health Program Faculty of Land and Food Systems University of British Columbia 2205 East Mall Vancouver British Columbia V6T 1Z4 Canada 3Department of Biotechnical and Clinical Laboratory Sciences University at Buffalo 12 Capen Hall Buffalo New York 14260 USA

We have identified errors in Eq. (2) and Eq. (6). The correct version of Eq. (2) should read1

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New approach to model the hand-arm system for analysis of musculoskeletal disorders

New approach to model the hand-arm system for analysis of mu...

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作者： Pattnaik, Shrikant Kim, Jay Mechanical Engineering Program School of Dynamic Systems University of Cincinnati Cincinnati OH 45220 United States

A new analysis approach is developed for hand-arm vibration analysis of musculoskeletal disorders. At a given equilibrium point, the musculo-tendon system can be interpreted as a spring damper system. It is considered that the Flexor Digitorum Profundus (FDP) and Lumbrical (LU) are participating in the response to the vibration force. The study shows that realistic muscle models should be included in the vibration analysis of the hand-arm exposed to tool vibration. The hand-arm system is found to have a redundancy in muscles because it has many more muscles than the minimum number required to establish equilibrium in gripping. An important observation is that bigger extrinsic muscles carry most of the static load to generate the grip force, and smaller muscles carry most tool vibration force at high frequencies.

关键词： Muscle

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Analysis of spatial resonance in a small vessel to study vibration-induced digital vascular disorder

Analysis of spatial resonance in a small vessel to study vib...

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作者： Pattnaik, Shrikant Banerjee, Rupak Kim, Jay Mechanical Engineering Program School of Dynamic Systems University of Cincinnati Cincinnati OH 45220 United States

The vibration response of small arteries is studied by modeling the system as an elastic tube filled with incompressible fluid embedded in an elastic foundation. The entire artery system is represented by a series of circuits and the segments of the artery system is considered to be small oscillatory dynamic systems connected serially by the fluid impedance. The resonance frequency of the digital artery is calculated with 0.1mm thickness, 0.49 Poisson's ratio, 15 MPa Young's modulus and 50mm length of the vessel. When the cochlea are subjected to sound of a given frequency. the basilar membrane vibrates with large amplitude at a particular position, and the position depends on the frequency of the sound. A very interesting observation is that when the input is from the large diameter side, the same artery system does not show any spatial resonance.

关键词： Elastic moduli

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An evaluation system for distance determination using the repetition interval of a femtosecond optical frequency comb

An evaluation system for distance determination using the re...

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2011 International Quantum Electronics Conference, IQEC 2011 and Conference on Lasers and Electro-Optics, CLEO Pacific Rim 2011

作者： Wei, Dong Takamasu, Kiyoshi Matsumoto, Hirokazu Global COE Program Mechanical Systems Innovation School of Engineering University of Tokyo Japan Department of Precision Engineering University of Tokyo Japan

A gauge block evaluation system was developed and its uncertainty estimation was performed for distance determination using the repetition interval of a femtosecond optical frequency comb - the national standard tool ... 详细信息

ISBN: (纸本)9780977565771

关键词： Gage blocks

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FES-Induced Muscular Torque Prediction with Evoked EMG Synthesized by NARX-Type Recurrent Neural Network

FES-Induced Muscular Torque Prediction with Evoked EMG Synth...

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IEEE/RSJ International Conference on Intelligent Robotics and systems

作者： Zhan Li Mitsuhiro Hayashibe Qin Zhang David Guiraud both INRIA Sophia-Antipolis DEMAR team and LIRMM CNRS/University of Montpellier UMR 5506 95 Rue de la Galéra 34095 Montpellier cedex 5 France. INRIA-LIRMM DEMAR team and currently is with Department of Mechanical Systems Engineering Tokyo University of Agriculture and Technology under JSPS postdoc program.

ISBN: (纸本)9781467317375

Functional electrical stimulation (FES) is able to restore motor function of spinal cord injured (SCI) patients. To make adaptive FES control taking into account the actual muscle state with muscular feedback information, torque estimation and prediction are important to be provided beforehand. Evoked EMG (eEMG) has been found to be highly correlated with FES-induced torque under various muscle conditions, indicating that it can be an useful tool for torque/force prediction. To better construct the relationship between eEMG and stimulated muscular torque, nonlinear-arx-type (NARX-type) model is preferred. This paper presents and exploits a NARX-type recurrent neural network (NARX-RNN) model for identification and prediction of FES-induced muscular dynamics with eEMG. Such NARX-RNN model is with a novel architecture for prediction, with robust prediction performance. To make fast convergence for identification of such NARX-RNN, directly-learning pattern is exploited during the learning phase. Due to difficulty of choosing a proper forgetting factor of Kalman filter for predicting time-variant torque with eEMG, such NARX-RNN may be considered to be a better alternative as torque predictor. Data gathered from two SCI patients is used to evaluate the proposed NARX-RNN model. The NARX-RNN model shows promising estimation and prediction performance only based on eEMG.

关键词： EMG FES NARX-RNN

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Accelerating the Artificial Bee Colony Algorithm by Hardware Parallel Implementations

Accelerating the Artificial Bee Colony Algorithm by Hardware...

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IEEE Latin American Symposium on Circuits and systems

作者： Daniel M. Mufioz Carlos H. Llanos Leandro dos S. Coelho Mauricio Ayala-Rincon Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Industrial and Systems Engineering Graduate Program LAS/PPGEPS Pontifical Catholic University of Parana Department of Computer Science and Mathematics University of Brasilia

ISBN: (纸本)9781467312073

Artificial bee colony (ABC) is an optimization algorithm inspired on the intelligent behavior of honey bee swarms. It is suitable to be applied when mathematical techniques are impractical or provide suboptimal solutions. As a population-based algorithm, the ABC suffers on large execution times specifically for embedded optimization problems with computational limitations. For that we propose a hardware parallel architecture of the opposition-based ABC algorithm (HPOABC) that facilitates the implementation in Field programmable Gate Arrays (FPGAs). Numerical simulations using four well-known benchmark problems demonstrate that the opposition-based approach allows the algorithm to improve its functionality, preserving the swarm diversity. Additionally, synthesis results point outs that the HPOABC architecture is effectively mapped in hardware and is suitable for embedded applications.

关键词： Global optimization Swarm intelligence Artificial bee colony FPGAs Floating-point arithmetic

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