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Low Temperature Co-fired Ceramic Package for Lab-on-CMOS Applied in Cell Viability Monitoring

Procedia engineering 2015年 120卷 1079-1082页

作者： Niina Halonen Joni Kilpijärvi Maciej Sobocinski Timir Datta-Chaudhuri Antti Hassinen Someshekar B. Prakash Peter Möller Pamela Abshire Elisabeth Smela Sakari Kellokumpu Anita Lloyd Spetz Microelectronics and Materials Physics Laboratories Department of Electrical Engineering P.O. Box 4500 FI-90014 University of Oulu Finland Laboratory for MicroTechnologies Department of Mechanical Engineering and the Institute for Systems Research A. James Clark School of Engineering University of Maryland College Park MD 20742 USA Integrated Biomorphic Information System Laboratory Department of Electrical & Computer Engineering and the Institute for Systems Research University of Maryland College Park MD 20742 USA Faculty of Biochemistry and Molecular Medicine University of Oulu P.O. Box 5400 FI-90014 University of Oulu Finland Advanced Design Organization Intel Corporation Hillsboro USA Division of Applied Sensor Science Department of Physics Chemistry and Biology Linköping University SE-58183 Linköping Sweden

Lab-on-CMOS chips (LOCMOS) are sophisticated miniaturized analysis tools based on integrated circuit (IC) microchips performing various laboratory functions. We have developed a low temperature co-fired ceramic (LTCC) package for a LOCMOS application regarding cytotoxicity assessment of nanomaterials. The LTCC packaged capacitance sensor chip is designed for long-term cell viability monitoring during nanoparticle exposure. The introduced LTCC package utilizes the flip chip bonding technique, and it is biocompatible as well as able to withstand the environmental conditions required to maintain mammalian cell culture directly on the surface of a complementary metal oxide semiconductor (CMOS) integrated circuit.

关键词： Lab-on-CMOS low temperature co-fired ceramics electronics packaging cytotoxicity assesment capacitance sensing

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Novel radio frequency energy harvesting model

Novel radio frequency energy harvesting model

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2012 IEEE International Power engineering and Optimization Conference, PEOCO 2012

作者： ElAnzeery, Hossam Mahmoud Gamal ElDin Mohammed ElBagouri, Mohamed Abd ElAziz Saad Guindi, Rafik Department of Microelectronics System Design Nanoelectronics Integrated Systems Center Nile University Smart Village B2 Km 28 Cairo-Alex. Desert Road 12677 Cairo Egypt Department of Electrical and Electronics Engineering University of Technology PETRONAS Bandar Seri Iskandar 31750 Tronoh Perak Malaysia

ISBN: (纸本)9781467306614

Energy and Environment, both are the main concern for every researcher allover the world. Alternative energy sources that are environmental friendly became the challenge to satisfy world needs. Oil and Gas are no more the main source of Energy, consequently the demand of an everlasting cheap source of energy that is environmental friendly, is the main goal recently. During the last decade, power consumption has decreased opening the field for energy harvesting to become a real time solution for providing different sources of electrical power. Energy Harvesting is a new technology that is going to make a revolution in the coming decade. Energy Harvesting is a technique to provide alternative sources of energy that are environmental friendly and low in cost. Future applications need wireless devices to operate for longer durations away from centralized power sources or the amount of power that can be supplied to these wireless devices to be increased. Currently, many technologies have been developed that attempt to overcome the limitations imposed on wireless devices. Radio Frequency Energy Harvesting is one of these types of energy harvesting that is able to convert Radio Frequency waves from ambient air to electrical energy. This paper presents a model for harvesting radio frequency energy waves. The presented model is directed towards different applications and targeting mainly Radio Frequency Identification (RFID) applications, where it works on frequencies in the range of 2.1 - 2.45 GHz. The recommended model faces size and efficiency problems presenting a very small radio frequency energy-harvesting model that can be implemented easily inside Radio Frequency Identification (RFID) applications. A final model for Radio Frequency Energy Harvesting is proposed based on different types of simulations and experiments. © 2012 IEEE.

关键词： Energy harvesting

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Novel Radio Frequency Energy Harvesting model

Novel Radio Frequency Energy Harvesting model

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International Power engineering and Optimization Conference (PEOCO)

作者： Hossam Mahmoud Gamal ElDin Mohammed ElAnzeery Mohamed Abd ElAziz Saad ElBagouri Rafik Guindi Department of Microelectronics System Design Nanoelectronics Integrated Systems Center Nile University Cairo Egypt Department of Electrical & Electronics Engineering University of Technology PETRONAS Bandar Seri Iskandar Tronoh Perak Malaysia

关键词： Radiofrequency identification Energy harvesting Wireless sensor networks Schottky diodes Wireless communication Antennas Capacitors

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Modeling and simulation for on-chip power grid networks by locally dominant krylov subspace method

Modeling and simulation for on-chip power grid networks by l...

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2008 International Conference on Computer-Aided design, ICCAD

作者： Yan, Boyuan Tan, Sheldon X.-D. Chen, Gengsheng Wu, Lifeng Department of Electrical Engineering University of California Riverside CA 92521 United States ASIC and System State-Key-Lab Microelectronics Dept. Fudan Univeristy Shanghai 200433 China Cadence Design Systems Inc. San Jose CA 95134 United States

ISBN: (纸本)9781424428205

Fast analysis of power grid networks has been a challenging problem for many years. The huge size renders circuit simulation inefficient and the large number of inputs further limits the application of existing Krylov-subspace macromodeling algorithms. However, strong locality has been observed that two nodes geometrically far have very small electrical impact on each other because of the exponential attenuation. However, no systematic approaches have been proposed to exploit such locality. In this paper, we propose a novel modeling and simulation scheme, which can automatically identify the dominant inputs for a given observed node in a power grid network. This enables us to build extremely compact models by projecting the system onto the locally dominant Krylov subspace corresponding to those dominant inputs only. The resulting simulation can be very fast with the compact models if we only need to view the responses of a few nodes under many different inputs. Experimental results show that the proposed method can have at least 100X speedup over SPICE-like simulations on a number of large power grid networks up to 1M nodes.

关键词： Circuit simulation

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Fractional-Order Signal Processing using a Polymer-Electrolyte Transistor

Fractional-Order Signal Processing using a Polymer-Electroly...

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51st Midwest Symposium on Circuits and systems (MWSCAS 2008), vol.2

作者： Robert L. Ewing Hoda S. Abdel-Aty-Zohdy Michael C. Hollenbeck Kenneth S. Stevens Information Directorate US Air Force Research Laboratory OH USA Microelectronics System Design Laboratory Department of Electrical and Systems Engineering Oakland University Rochester MI USA Department of Electrical and Computer Engineering University of Utah Salt Lake UT USA

Fractional-order systems have applications in the areas of Flight Control, Robotics, Missile Guidance, Control of Structural Vibrations of Space Platforms and Sensor Technology. Fractional-order transfer functions can characterize complex nonlinear dynamics with many fewer parameters than integer-order functions. This paper addresses the use of a polymer-electrolyte transistor (PET) for use in implementating fractional-order algorithms for signal processing. The PET's advantage over the conventional RC and RL circuits is that it can be both functionally scaled and varied for dynamic fractional-order parameter controllability.

关键词： Fractional-Order Signal Processing Polymer-electrolyte transistor Acid/base chemistry Diffusion Electrokinetic flow

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Modeling and simulation for on-chip power grid networks by locally dominant Krylov subspace method 08

Modeling and simulation for on-chip power grid networks by l...

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IEEE International Conference on Computer-Aided design

作者： Boyuan Yan Sheldon X.-D. Tan Gengsheng Chen Lifeng Wu Department of Electrical Engineering University of California Riverside CA USA ASIC & System State-Key-Lab MicroElectronics Department Fudan University Shanghai China Cadence Design Systems Inc. San Jose CA USA

ISBN: (纸本)9781424428205

关键词： Network-on-a-chip Power grids Power system modeling Transfer functions Attenuation Filters system-on-a-chip Application specific integrated circuits microelectronics Circuit analysis

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Polymorphic Architecture for an Electronic Nose (eNose)

Polymorphic Architecture for an Electronic Nose (eNose)

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Midwest Symposium on Circuits and systems (MWSCAS)

作者： R.L. Ewing H.S. Abdel-Aty-Zohdy J.R. Morrison Information Directorate U.S. Air Force Research Laboratory OH USA Microelectronics System Design Laboratory Department of Electrical and Systems Engineering Oakland University Rochester MI USA

Bioinspired evolvable techniques significantly increase the functionality of autonomous low-power detection systems by enabling them to learn, adapt and self-reconfigure through use of programmable BioFET devices. Electronic artificial noses or sniffers as bioinspired devices are under development that produces holograms stored within three-dimensional protein memory structures enabling automated real-time detection and classification of odors, vapors and contamination within gases.

关键词： Electronic noses Laboratories Protein engineering Chemical technology Sensor arrays Neural networks Leak detection Gases Computerized monitoring FETs

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Energy diffusion model of bR for voxel identification

Energy diffusion model of bR for voxel identification

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2005 IEEE International 48th Midwest Symposium on Circuits and systems, MWSCAS 2005

作者： Neto, Didimo Garcia Abdel-Aty-Zohdy, Hoda S. Microelectronics System Design Laboratory Department of Electrical and Systems Engineering Oakland University Rochester United States

ISBN: (纸本)0780391977

In this paper, a potential biological structure for computer volumetric memory is investigated. Bacteriorhodopsin is a protein found in the purple membrane of the bacteria Halobacterium salinarum. This protein has light absorption properties that generate different stable states allowing the use of multi-level logic as well as binary logic. CHARMm™ has been used to simulate the energy response of Bacteriorhodopsin at room temperature 300K for the bR ground state and the other states. The K state takes place after blue light (λ= 635nm) absorption on the bR state. The energy difference is found to be an increase of 1086.92 kcal/mol which is responsible for triggering the photocycle that also includes the states K, L, M, N, and O. An energy surplus is found between 6 and bR state that may be spread to surrounding molecules. However, conformational interference will not produce photons necessary for the isomerization reaction. Further Quantum Molecular (QM) analysis should provide an extended model for this macromolecular energy study. © 2005 IEEE.

关键词： Storage allocation (computer)

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Energy diffusion model of bR for voxel identification

Energy diffusion model of bR for voxel identification

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Midwest Symposium on Circuits and systems (MWSCAS)

作者： D. Garcia Neto H.S. Abdel-Aty-Zohdy Microelectronics System Design Laboratory-Department of Electrical and Systems Engineering Oakland University Rochester USA

In this paper, a potential biological structure for computer volumetric memory is investigated. Bacteriorhodopsin is a protein found in the purple membrane of the bacteria Halobacterium salinarum. This protein has light absorption properties that generate different stable states allowing the use of multilevel logic as well as binary logic. CHARMmtrade has been used to simulate the energy response of Bacteriorhodopsin at room temperature 300K for the bR ground state and the other states. The K state takes place after blue light (lambda= 635nm) absorption on the bR state. The energy difference is found to be an increase of 1086.92 kcal/mol which is responsible for triggering the photocycle that also includes the states K, L, M, N, and O. An energy surplus is found between O and bR state that may be spread to surrounding molecules. However, conformational interference does not produce photons necessary for the isomerization reaction. Further quantum molecular (QM) analysis should provide an extended model for this macromolecular energy study

关键词： Biological system modeling Proteins Absorption Logic Biology computing Biomembranes Microorganisms Computational modeling Land surface temperature Stationary state

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A genetic algorithm tracking model for product deployment in telecom services

A genetic algorithm tracking model for product deployment in...

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2005 IEEE International 48th Midwest Symposium on Circuits and systems, MWSCAS 2005

作者： Murphy, Linda Abdel-Aty-Zohdy, Hoda S. Hashem-Sherif, M. Microelectronics System Design Laboratory Oakland University Electrical and Systems Engineering Rochester MI United States AT and T Bell Labs. C5-2018 200 S. Laurel Avenue Middletown NJ United States

ISBN: (纸本)0780391977

Genetic algorithms (GA) are designed to search for, discover and emphasize good solutions by applying selection and crossover techniques, inspired by nature, to supply solutions to engineering systems. Genetic algorithms operate on pieces of information like nature does on genes in the course of evolution. All individuals of one generation are evaluated by a fitness function. This paper presents an approach to implement a genetic algorithm to depict a recently developed "Integrated Model" for defect tracking for product deployment in telecommunication systems by means of a solution space representing target variables. The genetic algorithm inputs these target values as dynamic input measurements. From these measurements, the best possible fused values are found for the target variables. The goal of the genetic algorithm is dynamically to update the parameters applied to the input measurements to find the optimum solution for the defect tracking model system. Focus will be given to one dimension of sensor input measurements consisting of three four-bit binary sensor inputs varying within a given range of data points. The genetic algorithm is applied to these inputs by means of a 64 6-bit random member binary population using the "Half-Sibling and a Clone" (HSAC) technique of crossover and mutation. The population members are evaluated using a fitness function where the fittest individuals are retained to survive and produce offspring for the next generation and the remainder are discarded. Genetic diversity is maintained through using a roulette wheel technique. The simulation tool MATLAB will be used to simulate the genetic algorithm. The genetic algorithm will be completed in VLSI using Verilog and the Mentor Graphics tools. The first stage components have been designed and completed using the Mentor Graphics tool-set. © 2005 IEEE.

关键词： Genetic algorithms

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