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Conference on Lasers and Electro-Optics (CLEO)

作者： Sung Hwan Cho Chun Hao Chen Frank S. Tsai Jessica Godin Yu-Hwa Lo Materials Science & Engineering Program Jacobs School of Engineering University of California San Diego La Jolla CA USA Department of Bioengineering Jacobs School of Engineering University of California San Diego La Jolla CA USA Department of Electrical & Computer Engineering Jacobs School of Engineering University of California San Diego La Jolla CA USA

K562 mammalian cells are sorted using a highly integrated microfabricated fluorescence-activated cell sorter (∝FACS). The sample cells are purified with an enrichment factor of 230 at a high throughput (>1,000 cel... 详细信息

关键词： Sorting Biomedical optical imaging Cells (biology) Optical signal processing Microfluidics Actuators Control systems Jacobian matrices Fluorescence Throughput

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Wafer bonding technique based GaN/Quantum Dots/GaN system

Wafer bonding technique based GaN/Quantum Dots/GaN system

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IEEE Southeastcon

作者： Ying Li Edward Stokes Optical Science and Engineering Program University of North Carolina Charlotte Charlotte NC USA Department of Electrical and Computer Engineering University of North Carolina Charlotte Charlotte NC USA

ISBN: (纸本)9781424458547

Integration of colloidal semiconductor quantum dots with epitaxial semiconductor materials offers the possibility of a wide variety of new device structures. In this work, wafer bonding processes for layered GaN/Quantum Dots/GaN structures are described. Bonding is achieved by thermal reorganization of bidentate ligand thiophenethiol which initially caps the CdSe/ZnS core/shell quantum dots. Annealing temperature dependent bond strength feature is characterized. Maximum bond strength is achieved after annealing at 350°C. Effect of annealing on quantum dot photoluminescence is also investigated.

关键词： Gallium nitride Wafer bonding Quantum dots

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Learning compliance control of robot manipulators in contact with the unknown environment

Learning compliance control of robot manipulators in contact...

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2010 IEEE International Conference on Automation science and engineering, CASE 2010

作者： Li, Yanan Yang, Chenguang Ge, Shuzhi Sam Social Robotics Lab. NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore 119613 Singapore Department of Bioengineering Imperial College London London SW7 2AZ United Kingdom Department of Electrical and Computer Engineering Interactive Digital Media Institute National University of Singapore Singapore 117576 Singapore Institute of Intelligent Systems University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)9781424454471

In this paper, a control mechanism is presented to improve the compliance performance of the robot manipulator when it is in contact with the unknown environment. This mechanism guarantees that the dynamics of the whole system follows a target impedance model so that the desired compliance performance is obtained. In particular, under the assumption that the dynamics is periodic, a learning law is developed to estimate the unknown dynamics parameters. Besides, the proposed systematic learning control does not require the accurate force measurement. Its performance and robustness are discussed in details by the rigorous analysis. At last, the validity of the proposed method is verified by simulation. © 2010 IEEE.

关键词： Modular robots

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A fuzzy inference system to determine the number of clones in the clonal selection algorithm

A fuzzy inference system to determine the number of clones i...

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World Congress on Nature & Biologically Inspired Computing (NaBIC)

作者： Luiz Antonio Carraro Leandro Nunes de Castro Angelita Maria de Ré Computer and Informatics Faculty & Graduate Program in Electrical Engineering Mackenzie University São Paulo Brazil Computer Science Department State University of West-Center Parana Guarapuava Brazil

Artificial Immune Systems (AISs) are composed of techniques inspired by immunology. The clonal selection principle ensures the organism adaptation to fight invading antigens by an immune response activated by the binding of antigens and antibodies. As an immune response can be elicited even when the binding between an antigen and an antibody is not perfect, an approximate binding might suffice, and a Fuzzy Logic mechanism might be the most appropriate mechanism to control such process. This paper presents a novel hybrid model based on concepts of Immune and Fuzzy Systems with applications to pattern recognition problems. The preliminary results obtained here suggest the proposed model is a promising pattern recognition tool.

关键词： Variable speed drives Animals

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Fluidic lens laparoscopic zoom camera for minimally invasive surgery

Fluidic lens laparoscopic zoom camera for minimally invasive...

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作者： Tsai, Frank S. Johnson, Daniel Francis, Cameron S. Cho, Sung Hwan Qiao, Wen Arianpour, Ashkan Lo, Yu-Hwa Department of Electrical and Computer Engineering Jacobs School of Engineering University of California San Diego San Diego CA 92093-0407 United States Materials Science and Engineering Program Jacobs School of Engineering University of California San Diego San Diego CA 92093-0418 United States Department of Surgery School of Medicine University of California San Diego San Diego CA 92093-8220 United States

We developed a miniaturized laparoscopic zoom camera that is 17 mm long, has >4X optical zoom, and works under 300 lux. This camera is suitable for advancing minimally invasive surgery. Demonstration surgery (chole... 详细信息

ISBN: (纸本)9781557528902

关键词： Laparoscopy

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Distributed feedback laser biosensor incorporating a titanium dioxide nanorod surface

Distributed feedback laser biosensor incorporating a titaniu...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Chun Ge Meng Lu Wei Zhang Brian T. Cunningham Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign Urbana IL USA Department of Materials Science and Engineering University of Illinois Urbana-Champaign Urbana IL USA Department of Bioengineering University of Illinois Urbana-Champaign Urbana IL USA

A 6.6× enhancement in surface sensitivity of DFB laser biosensors is demonstrated by a device incorporating a porous titanium dioxide nanorod layer on the sensor surface, while a Q-factor of over 25, 000 is maint... 详细信息

ISBN: (纸本)9781557528896

关键词： Distributed feedback devices Laser feedback Biosensors Titanium Surface emitting lasers Optical surface waves Vertical cavity surface emitting lasers Optical sensors Optical feedback Optical films

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Identification of a deep acceptor level in ZnO due to silver doping

Identification of a deep acceptor level in ZnO due to silver...

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作者： Chai, J. Mendelsberg, R.J. Reeves, R.J. Kennedy, J. Von Wenckstern, H. Schmidt, M. Grundmann, M. Doyle, K. Myers, T.H. Durbin, S.M. Department of Electrical and Computer Engineering University of Canterbury Christchurch New Zealand Department of Physics and Astronomy University of Canterbury Christchurch New Zealand GNS Science Lower Hutt New Zealand Institut für Experimentelle Physik II Universität Leipzig Leipzig Germany Department of Physics West Virginia University Morgantown WV United States Materials Science and Engineering Program Texas State University San Marcos TX United States MacDiarmid Institute for Advanced Materials and Nanotechnology New Zealand

There remains considerable interest in the behavior of acceptors in ZnO, the ultimate goal being the realization of device grade p-type material. Silver is a candidate acceptor, and, in this study, in situ doping of silver was performed during plasma-assisted molecular beam epitaxy. Silver concentrations, as determined by ion beam analysis, ranged between 1018 cm -3and 1020 cm-3, with as much as 94% incorporated substitutionally on Zn lattice sites. Variable magnetic field Hall effect measurements detected no evidence of holes, and 4 K photoluminescence was dominated by donor bound excitons. Transient capacitance measurements, however, suggested that incorporated silver had led to the formation of an acceptor, located approximately 320 meV above the valence band edge, indicating that compensation remains a significant issue in determining the conductivity of ZnO. © 2009 TMS.

关键词： Zinc oxide

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Technologies for continuous glucose monitoring: Current problems and future promises

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Journal of Diabetes science and Technology 2010年第6期4卷 1540-1562页

作者： Vaddiraju, Santhisagar Burgess, Diane J. Tomazos, Ioannis Jain, Faquir C. Papadimitrakopoulos, Fotios Nanomaterials Optoelectronics Laboratory Institute of Materials Science University of Connecticut Storrs CT United States Biorasis Inc. Technology Incubation Program University of Connecticut Storrs CT United States Department of Pharmaceutical Sciences University of Connecticut Storrs CT United States Electrical and Computer Engineering University of Connecticut Storrs CT United States Department of Chemistry University of Connecticut Storrs CT United States

Devices for continuous glucose monitoring (CGM) are currently a major focus of research in the area of diabetes management. It is envisioned that such devices will have the ability to alert a diabetes patient (or the parent or medical care giver of a diabetes patient) of impending hypoglycemic/ hyperglycemic events and thereby enable the patient to avoid extreme hypoglycemic/hyperglycemic excursions as well as minimize deviations outside the normal glucose range, thus preventing both life-threatening events and the debilitating complications associated with diabetes. It is anticipated that CGM devices will utilize constant feedback of analytical information from a glucose sensor to activate an insulin delivery pump, thereby ultimately realizing the concept of an artificial pancreas. Depending on whether the CGM device penetrates/breaks the skin and/or the sample is measured extracorporeally, these devices can be categorized as totally invasive, minimally invasive, and noninvasive. In addition, CGM devices are further classified according to the transduction mechanisms used for glucose sensing (i.e., electrochemical, optical, and piezoelectric). However, at present, most of these technologies are plagued by a variety of issues that affect their accuracy and long-term performance. This article presents a critical comparison of existing CGM technologies, highlighting critical issues of device accuracy, foreign body response, calibration, and miniaturization. An outlook on future developments with an emphasis on long-term reliability and performance is also presented. © Diabetes Technology Society.

关键词： Accuracy Calibration Continuous glucose monitoring Glucose detection Glucose sensors Invasiveness

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Decoder remapping to counteract neuron loss in brain-machine interfaces

Decoder remapping to counteract neuron loss in brain-machine...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Rodolphe Heliot Subramaniam Venkatraman Jose M. Carmena CEA LETI MINATEC France Department of Electrical Engineering and Computer Sciences University of California Berkeley CA USA QUALCOMM Inc.orporated USA Department of Electrical Engineering and Computer Sciences Helen Wills Neuroscience Institute and Program in Cognitive Science University of California Berkeley CA USA

Variability of single-unit neural recordings can significantly affect the overall performance achieved by brain machine interfaces (BMI). In this paper, we present a novel technique to adapt a linear filter commonly used in BMI to compensate for loss of neurons from the recorded neural ensemble, thus minimizing loss in performance. We simulate the gains achieved by this technique using a model of the learning process during closed-loop BMI operation. This simulation suggests that we can adapt to the loss of 24% of the neurons controlling a BMI with only 13% drop in performance.

关键词： Neurons Decoding Firing Wiener filter Brain modeling Maximum likelihood detection Nonlinear filters

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Empirical Studies on Application of Genetic Algorithms and Ant Colony Optimization for Data Clustering

Empirical Studies on Application of Genetic Algorithms and A...

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computer science Society (SCCC) International Conference Chilean FLAGGED

作者： Thelma Elita Colanzi Wesley Klewerton Guez Assunção Aurora Trinidad Ramirez Pozo Ana Cristina B. Kochem Vendramin Diogo Augusto Barros Pereira Computer Science Postgraduate Program Federal University of Paraná (UFPR) Curitiba Paraná Brazil Graduate School of Electrical Engineering and Computer Science (CPGEI) Federal Technological University of Paraná (UTFPR) Curitiba Paraná Brazil Informatics Department (DAINF)

Cluster analysis is used in several research areas to classify data sets in groups by their similar characteristics. Metaheuristic-based techniques, such as Genetic Algorithms (GAs) and Ant Colony Optimization (ACO), have been applied in order to increase the clustering algorithm performance. GA and ACO-based clustering algorithms are capable of efficiently and automatically forming natural groups from a pre-defined number of clusters. This paper presents a GA and an ACO algorithm to the clustering problem. Both algorithms were refined using local search in order to improve the clustering accuracy. The results are compared on numeric UCI databases.

关键词： Clustering algorithms Search problems Equations Mathematical model Gallium Genetic algorithms Memetics

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