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Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures Processing, Measurement, and Phenomena 2004年第3期22卷 1286-1289页

作者： W. Hofmeister W. P. Kang Y. M. Wong J. L. Davidson Interdisciplinary Graduate Program in Material Science Vanderbilt University Nashville Tennessee 37235 Interdisciplinary Graduate Program in Material Science and Department of Electrical Engineering and Computer Science Vanderbilt University Nashville Tennessee 37235 Department of Electrical Engineering and Computer Science Vanderbilt University Nashville Tennessee 37235

We have developed a method of catalyst preparation for carbon nanotube (CNT) growth that uses solid-state diffusion to precipitate Co particles in a Cu matrix and control the size and size distribution of catalyst particles. Copper is an excellent electrical and thermal conductor, and has a small or negligible solubility for Co. Cu–Co alloys of approximately 5 atm% Co were formed in bulk by splat quenching the liquid alloy and on Si substrates by e-beam evaporation of the alloy, sputtering of the alloy, and sputter deposition of thin films of pure Cu and Co. The Co easily precipitates from dilute solutions of Cu–Co with heat treatment. These alloys and films were used to generate uniform distributions of Co precipitates, and CNTs were successfully grown by plasma enhanced chemical vapor deposition (PE-CVD) and thermal CVD on the materials. These alloys can be patterned by photolithography and sputtering in order to grow CNTs in defined locations. Therefore, the technique is amenable to very large scale silicon integration for field emission applications. The results of this work and data from field emission studies are presented herein.

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System dynamics of supply chain network organization structure

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Information Systems and e-Business Management 2004年第2期2卷 187-206页

作者： Zhang, Yong Dilts, David Management of Technology Program Vanderbilt University Electrical Engineering & Computer Science Department School of Engineering Nashville USA Owen Graduate School of Management Vanderbilt University Nashville USA

Information technology is providing manufacturers with additional flexibility with regard to their supply chain network choices. Our research studies supply chain network organization structures categorized by the organic and mechanistic management control structures. The structural impacts on cost and fill rate performance are studied in two-echelon and two-supply-chain network organization models under different market coordination conditions using system dynamic simulations. Our results show significant effects of demand and network structural factors, and their interactions, on these measures. As demand becomes dynamic, the cooperative interaction model, where supply chains cooperate to satisfy customer demand, is found to have better system performance than the competitive supply chain model. The analysis also suggests that increasing the responsiveness at the downstream plant is particularly important to the overall system performance improvement.

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The effects of process parameters on size, density, structure, and field emission properties of Pd-catalyzed carbon nanotubes synthesized by thermal chemical vapor deposition

The effects of process parameters on size, density, structur...

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International Conference on Vacuum Nanoelectronics (IVNC)

作者： S. Wei W.P. Kang W.H. Hofmeister J.L. Davidson Y.M. Wong J.H. Huang Interdisciplinary Graduate Program in Material Science Vanderbilt University Nashville TN USA Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN USA Department of Chemical Engineering Vanderbilt University Nashville TN USA Department of Materials Science and Engineering National Tsing Hua University Hsinchu Taiwan

In this study, various thicknesses of Pd catalytic films were deposited on Ti/Si substrates and pretreated with NH/sub 3/. The effects of catalyst deposition parameters and NH/sub 3/ pretreatment time (0, 1, and 10 minutes) on the size distribution of Pd catalytic particles, and subsequently, on the diameter and density of synthesized carbon nanotubes (CNTs) were investigated. The CNTs were synthesized by thermal CVD at 750/spl deg/C using methane (CH/sub 4/) as the carbon source, and a mixture of Ar/H/sub 2/ (80 vol.%/20 vol.%) as the carrier gas.

关键词： Carbon nanotubes Chemical vapor deposition Argon Hydrogen Scanning electron microscopy Morphology Substrates Materials science and technology Transmission electron microscopy Carbon dioxide

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Transistor characteristics of thermal CVD carbon nanotubes field emission triode

Transistor characteristics of thermal CVD carbon nanotubes f...

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International Conference on Vacuum Nanoelectronics (IVNC)

作者： Y.M. Wong W.P. Kang J.L. Davidson W. Hofmeister S. Wei J.H. Huang Dept. of Electrical Engineering and Computer Science Vanderbilt Univ. Nashville TN USA Interdisciplinary Graduate Program in Material Science Vanderbilt Univ. Nashville TN USA Dept. of Materials Science and Engineering National Tsing Hua Univ. Hsinchu Taiwan ROC

In this paper, the study of thermal CVD grown CNT field emitters in a triode amplifier configuration is reported. The DC characteristics of the CNT triode are investigated, including I/sub a/ vs. V/sub a/ for different V/sub g/. Moreover, DC parameters such as transconductance, amplification factor and anode resistance of the triode amplifier are determined. It was shown that a higher amplification factor can be achieved with optimum gate-anode-cathode spacing such that the cathode is effectively shielded from the anode by the gate but the anode still collects all electrons emitted from the cathode. High emission current at low gate voltage is key to achieving high transconductance. This can be obtained by optimum configuration of high-density CNTs array in a triode structure with a common gate.

关键词： Carbon nanotubes Voltage Anodes Materials science and technology Current measurement Palladium Silicon Furnaces Temperature Cathodes

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DCMSim: Didactic cache memory simulator 33

DCMSim: Didactic cache memory simulator

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33rd Annual Frontiers in Education, FIE 2003

作者： Cordeiro, Eduardo Santos Abdanur Stefani, Italo Giovani Do Amaral Pales Soares, Tays Cristina Da Silva Martins, Carlos Augusto Paiva Pontifical Catholic University of Minas Gerais Graduate Program in Computer Science 500 Av. Dom Cabral Coração Eucaristico Belo HarizonteMinas Gerais Brazil Pontifical Catholic University of Minas Gerais Graduate Program in Computer Science Graduate Program in Electrical Engineering 500 Av. Dom Cabral Coração Eucaristico Belo HarizonteMinas Gerais Brazil

ISBN: (纸本)0780379616

We present a functional and structural didactic simulator of Cache Memory Systems developed at the Pontifical Catholic University of Minas Gerais, Brazil. The development occurred during the undergraduate computer Architecture discipline, in the computer Science course. Its implementation is one part of a new didactic method, in which developers (students of the computer Architecture discipline) must learn the concepts and theory of the discipline topics to correctly apply them in the simulator. In our simulator, DCMSim, there are features to allow students to construct and verify knowledge, testing and comparing several different configurations and memory access traces. © 2003 IEEE.

关键词： Cache memory

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Carbon nanotube growth from Cu-Co alloys for field emission applications

Carbon nanotube growth from Cu-Co alloys for field emission ...

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IEEE International Conference on Vacuum Microelectronics (IVMC)

作者： W. Hofmeister W.P. Kang Y.M. Wong J.L. Davidson Interdisciplinary Graduate Program in Material Science Vanderbilt University Nashville TN USA Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN USA

We have used Cu-Co alloy to generate uniform distribution of Co precipitates, and successfully grown CNTs by CVD on the Cu support.

关键词： Carbon nanotubes Conducting materials Transistors Application software Cobalt alloys Copper alloys Materials science and technology Hydrocarbons Chemical vapor deposition Nanocrystals

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Fuzzy-neuro predictive control, tuned by genetic algorithms, applied to a fermentation process

Fuzzy-neuro predictive control, tuned by genetic algorithms,...

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IEEE International Symposium on Intelligent Control (ISIC)

作者： J.A. Fabro L.V.R. Arruda Automation and Advanced Control Systems Labratory-LASCA Graduate Program on Electrical Engineering and Applied Computer Science-CPGEI Federal Centre of Technological Education of Paraná Curitiba Parana Brazil

This paper proposes the development of a fuzzy predictive control. Genetic algorithms (GA's) are used to automatically tune the controller. A recurrent neural network is used to identify the process, and then provides predictions about the process behavior, based on control actions applied to the system. These predictions are used by the fuzzy controller, in order to accomplish a better control of an alcoholic fermentation process from chemical industry. This problem has been chosen due to its non-linearity and large accommodation time, that make it hard to control by standard controllers. Comparison of performance is made with non-predictive approaches(PID and Fuzzy-PD), and also with another predictive approach, GPC(Generalized Predictive Control).

关键词： Predictive control Genetic algorithms Control systems Fuzzy control Alcoholism Recurrent neural networks Nonlinear control systems Artificial intelligence Biomass Control system synthesis

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Adaptive feature selection for hyperspectral data analysis using a binary hierarchical classifier and tabu search

Adaptive feature selection for hyperspectral data analysis u...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： D. Korycinski M. Crawford J.W. Barnes J. Ghosh Center for Space Research University of Texas Austin Austin TX USA Graduate Program in Operations Research and Industrial Engineering University of Texas Austin Austin TX USA Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA

High dimensional inputs coupled with scarcity of labeled data are among the greatest challenges for classification of hyperspectral data. These problems are exacerbated if the number of classes is large. High dimensional output classes can often be handled effectively by decomposition into multiple two-(meta)class problems, where each sub-problem is solved using a suitable binary classifier, and outputs of this collection of classifiers are combined in a suitable manner to obtain the answer to the original multi-class problem. This approach is taken by the binary hierarchical classifier (BHC). The advantages of the BHC for output decomposition can be further exploited for hyperspectral data analysis by integrating a feature selection methodology with the classifier. Building upon the previously developed best bases BHC algorithm with greedy feature selection, a new method is developed that selects a subset of band groups within metaclasses using reactive tabu search. Experimental results obtained from analysis of Hyperion data acquired over the Okavango Delta in Botswana are superior to those of the greedy feature selection approach and more robust than either the original BHC or the BHC with greedy feature selection.

关键词： Hyperspectral imaging Data analysis Tree data structures Training data Feature extraction Operations research Industrial engineering Robustness Parameter estimation Computational complexity

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The use of research activities as learning instrument in electrical engineering and computer science graduations

The use of research activities as learning instrument in ele...

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Frontiers in Education (FIE) Conference

作者： C.A.P.S. Martins M.B. Carvalho C.V. Pousa D.O. Penha Computer Science Department and Graduate Program in Electrical Engineering (PPGEE) Computational and Digital System Laboratoty (LSDC) Pontifical Catholic University of Minas Gerais Belo Horizonte Minas Gerais Brazil PUC-Minas PPGEE LSDC Belo Horizonte Minas Gerais Brazil Computer Science Department LSDC PUC-Minas Belo Horizonte Minas Gerais Brazil

In this paper we analyze the use of research activities as learning instrument in electrical engineering and computer science. This pedagogic approach was applied in undergraduate disciplines, undergraduate teaching assistance and undergraduate research projects. Our main goals are optimize the learning process using research and motivate the use of research activities as learning instrument.

关键词： Instruments computer science Education Performance analysis electrical engineering Learning systems Proposals Humans Microprocessors Cache memory

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computer arcwtecture education: application of a new learning method based on design and simulator development

Computer arcwtecture education: application of a new learnin...

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Frontiers in Education (FIE) Conference

作者： C.A.P.S. Martins C.V. Pousa M.B. Carvalho D.O. Penha Carlos Augusto Paiva da Silva Manins Computer Science Depamnent and Graduate Program in Electrical Engineering (PPGEE) Computational and Digital Systems Laboratory (LSDC) Pontifical Catholic University of Minas Gerais Belo Horizonte Minas Gerais Brazil Computer Science Depament LSDC PUCMi nas Christiane Vilaga Pousa Belo Horizonte Minas Gerais Brazil Milene Barbora Carvalha PUC-Minas PF'GEE LSDC Belo Horizonte Minas Gerais Brazil

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