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2013 4th ACM Conference on Innovations in Theoretical computer Science, ITCS 2013

作者： Woods, Damien Chen, Ho-Lin Goodfriend, Scott Dabby, Nadine Winfree, Erik Yin, Peng Computer Science California Institute of Technology Pasadena CA 91125 United States Center for Mathematics of Information California Institute of Technology Pasadena CA 91125 United States Chemical Engineering California Institute of Technology Pasadena CA 91125 United States Computation and Neural Systems California Institute of Technology Pasadena CA 91125 United States Bioengineering California Institute of Technology Pasadena CA 91125 United States Center for Biological Circuit Design California Institute of Technology Pasadena CA 91125 United States Department of Electrical Engineering National Taiwan University Taiwan Wyss Institute for Biologically Inspired Engineering 3 Blackfan Circle Boston MA 02445 United States

ISBN: (纸本)9781450318594

We describe a computational model for studying the complexity of self-assembled structures with active molecular components. Our model captures notions of growth and movement ubiquitous in biological systems. The model is inspired by biology's fantastic ability to assemble biomolecules that form systems with complicated structure and dynamics, from molecular motors that walk on rigid tracks and proteins that dynamically alter the structure of the cell during mitosis, to embryonic development where large scale complicated organisms efficiently grow from a single cell. Using this active self-assembly model, we show how to efficiently self-assemble shapes and patterns from simple monomers. For example we show how to grow a line of monomers in time and number of monomer states that is merely logarithmic in its length. Our main results show how to grow arbitrary connected two-dimensional geometric shapes and patterns in expected time polylogarithmic in the size of the shape plus roughly the time required to run a Turing machine deciding whether or not a given pixel is in the shape. We do this while keeping the number of monomer types logarithmic in shape size, plus monomers required by the Kolmogorov complexity of the shape or pattern. This work thus highlights the fundamental efficiency advantage of active self-assembly over passive self-assembly and motivates experimental effort to construct self-assembly systems with active molecular components. © 2013 Authors.

关键词： Self assembly

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HRI Pioneers Workshop 2013 13

HRI Pioneers Workshop 2013

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ACM/IEEE International Conference on Human-Robot Interaction (HRI)

作者： Solace Shen Henny Admoni Caroline Harriott Yunkyung Kim Matt Marge Marynel Vázquez Astrid Rosenthal-von der Pütten Matt Beane Yasuhiko Hato Daniel Lazewatsky Robin Read Steve Vozar Department of Psychology University of Washington Seattle USA Department of Social Psychology University of Duisburg-Essen Duisburg Germany Department of Computer Science Yale University New Haven USA Sloan School of Management Massachusetts Institute of Technology Cambridge USA Department of Electrical Engineering & Computer Science Vanderbilt University Nashville USA Graduate School of Science & Technology Keio University Yokohama Japan Department of Industrial Design Korea Advanced Institute of Science and Technology Daejeon South Korea Industrial & Manufacturing Engineering Oregon State University Corvallis USA Language Technologies Institute Carnegie Mellon University Pittsburgh USA Centre for Robotics & Neural Systems University of Plymouth Plymouth UK Robotics Institute Carnegie Mellon University Pittsburgh USA Department of Mechanical Engineering University of Michigan Ann Arbor USA

ISBN: (纸本)9781467330558

The 2013 Human-Robot Interaction (HRI) Pioneers Workshop, which will be held in conjunction with the 8 th ACM/IEEE International Conference on Human-Robot Interaction, is the premiere venue for student research in the field. This highly selective workshop seeks to foster creativity, communication, and collaboration between the world's top student researchers in the field of human-robot interaction. Pioneers Workshop participants will have the opportunity to learn about the current state of HRI, to present their research, and to network with one another and with select senior researchers in a setting that is less formal and more interactive then the main conference. The theme for this year is Re-envisioning HRI: Dealing With the Elephants in Our Room. The workshop aims to bring forward difficult to discuss issues to help the field achieve more balanced perspectives and a clearer picture of what sort of future we are building.

关键词： Educational institutions Conferences Human-robot interaction Psychology computer science Service robots

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Statistical Model for Cardiovascular Signals with Independent Respiratory Modulation for Tracking Pulse Pressure Variation

Statistical Model for Cardiovascular Signals with Independen...

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33rd Annual International Conference of the IEEE engineering-in-Medicine-and-Biology-Society (EMBS)

作者： McNames, James Kim, Sunghan Aboy, Mateo Department of Electrical and Computer Engineering Portland State University Portland OR United States Neural Systems and Dynamics Laboratory at UCLA Los Angeles CA United States Department of Electrical Engineering and Renewable Energy Oregon Institute of Technology Portland OR United States

ISBN: (纸本)9781424441228

Cardiovascular signals including the electrocardiogram, pressure signals, and photoplethysmographs such as those used in pulse oximetry contain a wealth of information. Statistical models of these signals provide a means of representing and quantifying this information, and often lead to natural and optimal estimation algorithms. One powerful statistical model uses a Fourier approach to model cardiovascular signals as a harmonic sum of sinusoids with a fundamental frequency, amplitudes, and phases that vary slowly over time. We have further developed this model to incorporate respiratory effects including an additive component, pulse pressure variation (PPV), and respiratory sinus arrhythmia. PPV may be viewed as a form of amplitude modulation of the cardiovascular signal due to respiration. Current models do not explain the asymmetry between the upper and lower envelopes observed in cardiovascular pressure signals, and consequently are not appropriate for PPV estimation. We propose a model in which each of the cardiac harmonics is independently modulated by the respiratory signal. This improves the estimation accuracy and permits more accurate cardiovascular tracking and estimation. The proposed model is more accurate in PPV estimation applications.

关键词： Amplitude modulation Biological system modeling Brain modeling Estimation Fourier approach Harmonic analysis Manganese PPV PPV estimation cardiac harmonics cardiovascular pressure signals cardiovascular signal cardiovascular system cardiovascular tracking

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A multimodal-corpus data collection system for cognitive acoustic scene analysis

A multimodal-corpus data collection system for cognitive aco...

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2011 45th Annual Conference on Information Sciences and systems, CISS 2011

作者： Georgiou, Julius Pouliquen, Philippe Cassidy, Andrew Garreau, Guillaume Andreou, Charalambos Stuarts, Guillermo D'Urbal, Cyrille Andreou, Andreas G. Denham, Susan Wennekers, Thomas Mill, Robert Winkler, István Bohm, Tamás Szalárdy, Orsolya Klump, Georg M. Jones, Simon Bendixen, Alexandra Department of Electrical and Computer Engineering University of Cyprus Nicosia 1678 Cyprus Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD 21218 United States Department of Psychology Centre for Robotics and Neural Systems University of Plymouth United Kingdom Institute for Psychology Hungarian Academy of Sciences Budapest Hungary Department of Biology and Environmental Sciences University of Oldenburg Oldenburg Germany Institute of Psychology University of Leipzig Leipzig Germany

ISBN: (纸本)9781424498475

We report on the design and the collection of a multi-modal data corpus for cognitive acoustic scene analysis. Sounds are generated by stationary and moving sources (people), that is by omni-directional speakers mounted on people's heads. One or two subjects walk along predetermined systematic and random paths, in synchrony and out of sync. Sound is captured in multiple microphone systems, including a four MEMS microphone directional array, two electret microphones situated in the ears of a stuffed gerbil head, and a Head Acoustics, head-shoulder unit with ICP microphones. Three micro-Doppler units operating at different frequencies were employed to capture gait and the articulatory signatures as well as location of the people in the scene. Three ground vibration sensors were recording the footsteps of the walking people. A 3D MESA camera as well as a web-cam provided 2D and 3D visual data for system calibration and ground truth. Data were collected in three environments ranging from a well controlled environment (anechoic chamber), an indoor environment (large classroom) and the natural environment of an outside courtyard. A software tool has been developed for the browsing and visualization of the data. © 2011 IEEE.

关键词： Data visualization

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CMOS magnetic actuators for bio-material manipulation

CMOS magnetic actuators for bio-material manipulation

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IEEE GCC Conference & Exhibition

作者： Faisal T. Abu-Nimeh Fathi M. Salem Circuits Systems and Neural Networks Lab Department of Electrical & Computer Engineering Michigan State University East Lansing USA

Magnetic manipulation for molecular-level interrogation and diagnosis are emerging as lab-on-chip platforms. These platforms necessitate low-cost, low-power, portable, and high efficiency integrated implementations. We Implement an all-integrated programmable 16×16 magnetic coil array chip with a die-size of 1.5×1.5mm 2 designed in bulk CMOS 0.5μm 3M2P technology. The integrated design does not require any external magnetic source. It relies on the Hall effect generated by the smallest permissible vertical coil inductors (in this reported technology, the inductor's planar area is 6μm×6μm). The coil array is selectively and dynamically controlled. Each cell, composed of the coil and its logical control circuitry, can emit eight programmable magnetic field levels. All array components are tuned to work at 900MHz and incorporate highspeed serial row/column switching. The array can be used to manipulate a small, in the order of 6μm×6μm, single molecule or in collaborative manipulation of larger bio-material objects.

关键词： Arrays Switches Actuators Coils Inductors Magnetic circuits CMOS integrated circuits

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Postural Control in a Bipedal Robot using Sensory Reweighting

Postural Control in a Bipedal Robot using Sensory Reweightin...

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2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

作者： Theresa J. Klein M. Anthony Lewis Tim Kiemel John Jeka Robotics and Neural Systems Lab Department of Electrical and Computer EngineeringUniversity of Ariz Department of Kinesiology University of MarylandCollege ParkMD

Postural control is a difficult problem for bipedal robots. Even in robots restricted to the sagittal plane, the system must react to falling forward or backward to stabilize itself during walking, standing, and during initiation and termination of walking. Most robots rely mainly on proprioceptive information such as foot pressure sensors and joint angle sensors for balance. By contrast, humans use a variety of sensory sources, including visual, vestibular, and proprioceptive sources to adapt fluidly to varying conditions. These sensory inputs combine to control posture but are “reweighted” in response to changing conditions such as floor motion, visual scene motion, and degradation in vestibular sensitivity. Based on models of sensory reweighting in humans, we implement a sensory reweighting scheme in a bipedal robot using an adaptive Kalman filter. The adaptive filter uses an online estimate of the noise variance to adjust the Kalman gain depending on time-varying noise conditions. Thus, the robot automatically downweight sensory channels with unreliable data.

关键词： Robot sensing systems Visualization Noise Kalman filters Adaptation models Humans

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A multimodal-corpus data collection system for cognitive acoustic scene analysis

A multimodal-corpus data collection system for cognitive aco...

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Annual Conference on Information Sciences and systems (CISS)

作者： Julius Georgiou Philippe Pouliquen Andrew Cassidy Guillaume Garreau Charalambos Andreou Guillermo Stuarts Cyrille d'Urbal Andreas G. Andreou Susan Denham Thomas Wennekers Robert Mill István Winkler Tamás Bőhm Orsolya Szalárdy Georg M. Klump Simon Jones Alexandra Bendixen Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD USA Department of Psychology Centre for Robotics and Neural Systems University of Plymouth UK Institute for Psychology Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Department of Biology and Environmental Sciences University of Oldenburg Oldenburg Germany Institute of Psychology University of Leipzig Leipzig Germany

关键词： Acoustics

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Electro-magnetic sensing and actuation array on silicon substrate platforms

Electro-magnetic sensing and actuation array on silicon subs...

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IEEE Nanotechnology Materials and Devices Conference (NMDC)

作者： Faisal T. Abu-Nimeh Fathi M. Salem Circuits Systems and Neural Networks Laboratory Department of Electrical & Computer Engineering Michigan State University East Lansing USA

Electromagnetic arrays can be precisely constructed on silicon CMOS technology as a platform for collective non-contact sensing and manipulation of magnetic or magnetized particles of micron to nano scale. Such platforms become a tool to interact with nano scale particles on the silicon substrate and enable direct interface to measurement and computing devices. This paper overviews current efforts along this direction and presents an example design of a platform for sensing and manipulating magnetized beads on its surface using standard silicon CMOS technology. The vision is that such arrays can be easily commanded in nano seconds to realize magnetic field profiles in order to steer magnetized material in the proximity of the platform. Moreover, as technology features decrease, the size of the electromagnetic coil cells in the array would also decrease to nano scale, sharpening the sensing and manipulation resolution of the platforms.

关键词： Coils Arrays CMOS integrated circuits Silicon Force Magnetic susceptibility Metals

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A Probabilistic Decoding Approach to a neural Prosthesis for Speech

A Probabilistic Decoding Approach to a Neural Prosthesis for...

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The 4th International Conference on Bioinformatics and Biomedical engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

作者： Brett Matthews Mark Clements Jonathan Kim Jonathan S.Brumberg School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta Georgia USA Department of Cognitive and Neural Systems Boston University Boston MA USA

neural prosthetic systems for motor control and communication have produced striking results in recent studies with non-human primates and human volunteers. We describe a new approach in our ongoing work toward developing an intracortical neural prosthesis for speech restoration with a 26 year old human volunteer with tetraplegia (including loss of vocal and facial muscle control). We propose to use hidden Markov models (HMMs) to decode neural firing activity in speech motor cortex. We show how classical and recent approaches to automatic speech recognition (ASR) apply directly to the decoding stage of a neural prosthesis. We outline a series of experiments in collecting cortical neural firing data from our human volunteer, and discuss important challenges and considerations in implementing an HMM framework for a neural speech prosthesis.

关键词： Decoding Prosthetics Humans Hidden Markov models Automatic speech recognition Motor drives Facial muscles Automatic control Communication system control neural prosthesis

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Computational Neuroscience (CNS*2009)

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BMC Neuroscience 2009年第1期10卷 1-2页

作者： Don H Johnson Ranu Jung Udo Ernst Department of Electrical and Computer Engineering Rice University Houston Texas 77005 USA Center for Adaptive Neural Systems & School of Biological and Health Systems Engineering Arizona State University PO Box 874404 Tempe AZ 85287-4404 USA Institute for Theoretical Physics University of Bremen Hochschulring 18 PO Box 330 440 D-28334 Bremen Germany

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