A new design of triple-band bandpass filter (BPF) using multilayer-based substrates is proposed in this paper. The BPF is designed to have three passbands at 2.3-2.7 GHz, 3.3-3.9 GHz and 5.15-5.85 GHz for Wireless Met...
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This paper presents a microstrip triplexer with multiband performances by using the simple cascaded resonators for reducing the circuit size. The three passband channels of the triplexer can be generated by using the ...
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Hydrocarbon microseepage theory establishes a cause-and-effect relation between oil and gas reservoirs and special surface anomalies, mainly including surface hydrocarbons and related mineral alterations. Thus, diagno...
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Hydrocarbon microseepage theory establishes a cause-and-effect relation between oil and gas reservoirs and special surface anomalies, mainly including surface hydrocarbons and related mineral alterations. Thus, diagnostic spectral features of hydrocarbons and mineral alterations are capable of providing reliable evidences for the oil and gas exploration. In the paper, the integrated practical system of exploring for oil, gas is introduced by using reflectance spectroscopy and hydrocarbon microseepage theory. This system is applied to processing and analyzing not only hyperspectral remote sensing data but also the data provided by field work. Furthermore, great efforts are focused on spectral model of hydrocarbon microseepage and Hyperion data classification algorithms. In our work, two exploration targets of natural gas are identified from the study area which covers 2100 km 2 . All the two exploration targets have been proven industrial reserves by China National Petroleum Corporation (CNPC) in July 2006.
作者:
M. FeemsterD.M. DawsonA. BehalW. DixonMatthew Feemster received the B.S degree in Electrical Engineering from Clemson University
Clemson South Carolina in December 1994. Upon graduation he remained at Clemson University and received the M.S. degree in Electrical Engineering in 1997. During this time he also served as a research/teaching assistant. His research work focused on the design and implementation of various nonlinear control algorithms with emphasis on the induction motor and mechanical systems with friction present. He is currently working toward his Ph.D. degree in Electrical Engineering at Clemson University. Darren M. Dawson was born in 1962
in Macon Georgia. He received an Associate Degree in Mathematics from Macon Junior College in 1982 and a B.S. Degree in Electrical Engineering from the Georgia Institute of Technology in 1984. He then worked for Westinghouse as a control engineer from 1985 to 1987. In 1987 he returned to the Georgia Institute of Technology where he received the Ph.D. Degree in Electrical Engineering in March 1990. During this time he also served as a research/teaching assistant. In July 1990 he joined the Electrical and Computer Engineering Department and the Center for Advanced Manufacturing (CAM) at Clemson University where he currently holds the position of Professor. Under the CAM director's supervision he currently leads the Robotics and Manufacturing Automation Laboratory which is jointly operated by the Electrical and Mechanical Engineering departments. His main research interests are in the fields of nonlinear based robust adaptive and learning control with application to electro-mechanical systems including robot manipulators motor drives magnetic bearings flexible cables flexible beams and high-speed transport systems. Aman Behal was born in India in 1973. He received his Masters Degree in Electrical Engineering from Indian Institute of Technology
Bombay in 1996. He is currently working towards a Ph.D in Controls and Robotics at Clemson University. His research focuses on the control of no
In this paper, we extend the observer/control strategies previously published in [25] to an n -link, serially connected, direct drive, rigid link, revolute robot operating in the presence of nonlinear friction effects...
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In this paper, we extend the observer/control strategies previously published in [25] to an n -link, serially connected, direct drive, rigid link, revolute robot operating in the presence of nonlinear friction effects modeled by the Lu-Gre model. In addition, we also present a new adaptive control technique for compensating for the nonlinear parameterizable Stribeck effects. Specifically, an adaptive observer/controller scheme is developed which contains a feedforward approximation of the Stribeck effects. This feedforward approximation is used in a composite controller/observer strategy which forces the average square integral of the position tracking error to an arbitrarily small value. Experimental results are included to illustrate the performance of the proposed controllers.
Based on the standpoint to take for the crack size also to be a damage variable like the damage variable, by means of the two-directions coordinate system, several new calculation equations on the small crack gro...
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Based on the standpoint to take for the crack size also to be a damage variable like the damage variable, by means of the two-directions coordinate system, several new calculation equations on the small crack growth rate are suggested for describing the elastic-plastic behavior of some metallic materials. And the estimation formulas of life are also suggested relative to varied small crack size at each loading history, which is unsymmetric cyclic loading. In the calculation method, as a loaded stress-strain parameter to adopt the ratio with plastic strain range to elastic strain range, and as the material constants using the typical material parameters in damage calculation expression, a new concept of the compositive material constant, which has functional relation with the typical material constants, average stress, average strain, critical loading time is given out. In addition, the fatigue damage of a part of car is put up to calculate as an example, its calculation results are accordant with the Landgraf's equation, and calculation precision is more rigorous, so could avoid unnecessary fatigue tests and will be of practical significance on saving times, manpower and capitals, as well as the convenience for engineeringapplications.
Information Retrieval (IR) is the process of retrieving information that is relevant to the users' needs. Data fusion in IR usually combines the various retrieval schemes (strategies) to enhance the performance of...
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Web Service technologies offer a successful way for interoperability among applications. However, although current approaches are beginning to address how to specify non-functional capabilities in Web Services at desc...
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Neural networks are usually trained using local gradient-based procedures. Such methods frequently found sub-optimal solutions being trapped in local minima. In solving some application problems, the input/output data...
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Neural networks are usually trained using local gradient-based procedures. Such methods frequently found sub-optimal solutions being trapped in local minima. In solving some application problems, the input/output data sets used to train a neural network may not be hundred percent precise but within certain range. It is difficult for the traditional neural network to solve such problems. A learning algorithm based on interval optimization is presented in this paper. The above disadvantages of the traditional learning algorithm are settled by using this method.
Non-functional requirements/characteristics are important for providing effectively every kind of services including web services. A realistic web service must meet both functional and non-functional requirements of i...
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ISBN:
(纸本)1595934359
Non-functional requirements/characteristics are important for providing effectively every kind of services including web services. A realistic web service must meet both functional and non-functional requirements of its consumers. Therefore, it is important that a web services framework is augmented so that non-functional characteristics of a web service can be determined at run-time and consumers are bound to a service that best meet their functional as well as non-functional requirements. In this paper, we propose an extension of the existing web services framework that enables a collection of functional and non-functional service characteristics at run-time, and usage of the collected data in discovery, binding, and execution of web services. Descriptions of new and enhanced components of the proposed framework are also presented. Typical publishing and usage scenarios in the proposed framework are also described.
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