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Designing enhanced classifiers using prior process knowledge: Regularized maximum-likelihood

Designing enhanced classifiers using prior process knowledge...

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IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

作者： Mohammad Shahrokh Esfahani Amin Zollanvari Byung-Jun Yoon Edward R. Dougherty Department of Electrical and Computer Engineering Texas A and M University USA Childrens Hospital Informatics Program at Harvard-MIT Division of Health Sciences and Technology Harvard Medical School and Brigham and Women's Hospital USA Computational Biology Division Translational Genomics Research Institute Phoenix Phoenix AZ USA

We propose a novel optimization-based paradigm for designing enhanced classifiers. The proposed paradigm allows us to incorporate available prior process knowledge into classifier design, thereby improving the performance of the resulting classifiers. In this work, we focus on dynamical systems that can be represented as finite-state multi-dimensional stochastic processes that possess labeled steady-state distributions. Given prior operational knowledge of the process, our goal is to build a classifier that can accurately label future observations obtained from the steady-state, by utilizing both the available prior knowledge and the training data. Simulation results show that the proposed paradigm yields improved classifiers that outperform traditional classifiers that use only training data.

关键词： Uncertainty Knowledge engineering Steady-state Training data Bioinformatics Cancer Genomics

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SINR balancing in the downlink of cognitive radio networks with imperfect channel knowledge

SINR balancing in the downlink of cognitive radio networks w...

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International Conference on Cognitive Radio Oriented Wireless Networks and Communications

作者： Hanif, Muhammad Fainan Smith, Peter J. Alouini, Mohamed-Slim Department of Electrical and Computer Engineering University of Canterbury Christchurch New Zealand Electrical Engineering Program KAUST Thuwal Saudi Arabia

ISBN: (纸本)9781424458868

In this paper we consider the problem of signal-to-interference-plus-noise ratio (SINR) balancing in the downlink of cognitive radio (CR) networks while simultaneously keeping interference levels at primary user (PU) receivers (RXs) below an acceptable threshold with uncertain channel state information available at the CR base-station (BS). We optimize the beamforming vectors at the CR BS so that the worst user SINR is maximized and transmit power constraints at the CR BS and interference constraints at the PU RXs are satisfied. With uncertainties in the channel bounded by a Euclidean ball, the semidefinite program.(SDP) modeling the balancing problem is solved using the recently developed convex iteration technique without relaxing the rank constraints. Numerical simulations are conducted to show the effectiveness of the proposed technique in comparison to known approximations.

关键词： Cognitive radio

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Evolving granular neural network for semi-supervised data stream classification

Evolving granular neural network for semi-supervised data st...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

作者： Leite, Daniel Costa, Pyramo Gomide, Fernando Department of Computer Engineering and Automation Faculty of Electrical and Computer Engineering University of Campinas Sao Paulo Brazil Graduate Program in Electrical Engineering Catholic University of Minas Gerais Brazil

ISBN: (纸本)9781424469178

In this paper we introduce an adaptive fuzzy neural network framework for classification of data stream using a partially supervised learning algorithm. The framework consists of an evolving granular neural network capable of processing nonstationary data streams using a one-pass incremental algorithm. The granular neural network evolves fuzzy hyperboxes and uses nullnorm based neurons to classify data. The learning algorithm performs structural and parametric adaptation whenever environment changes are reflected in input data. It needs no prior statistical knowledge about data and classes. Computational experiments show that the fuzzy granular neural network is robust against different types of concept drift, and is able to handle unlabeled examples efficiently. © 2010 IEEE.

关键词： Learning algorithms

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Undergraduate and graduate research projects on plug-in hybrid electric vehicles (PHEVs) supported by the local electrical power company

Undergraduate and graduate research projects on plug-in hybr...

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2010 ASEE Annual Conference and Exposition

作者： Faulkenberry, Luces Shireen, Wajiha Electrical Power Engineering Technology Program University of Houston United States Electrical and Computer Engineering Department University of Houston United States

This paper will chronicle the implementation of the offer of support for students to do applied research in the area of plug-in hybrid electric vehicles (PHEVs) by the area electrical power company into a working program.in which both undergraduate and graduate students have participated. The local electrical power distribution and transmission company, CenterPoint Energy, developed an interest in plug-in hybrid electric vehicles (PHEVs). They contacted the administration of the College of Technology at the University of Houston to ask if there was an interest in student research projects in PHEVs, and the problems associated with implementing an infrastructure to serve them. The electrical Power engineering Technology program.faculty was very interested in the power company proposal since this would be an opportunity for students to learn by working on real world problems. CenterPoint Energy would provide a stipend for the undergraduate students taking special problems courses in PHEV topics, which would be under the guidance of one of the authors, an electrical Power engineering Technology faculty member. In addition the CenterPoint Energy would provide the PHEV to study, the necessary data gathering equipment, and advertise the involvement of the College of Technology and CenterPoint in the project. The CenterPoint Representative wanted the product from undergraduate student projects to be a presentation by the students on their research projects to a group of employees of the Power Company. The graduate research activity is being supported by funding a graduate research assistant position for one of the authors who is involved in smart-grid research. The expected outcome of the graduate research component is a contribution of the student to the research results that will be disseminated in technical conferences and journal papers. The undergraduate project activity began fall semester 2008 with two students studying the cost of operation of the company hybrid an

关键词： Plug-in hybrid vehicles

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One Day Smart Grid Supersession - Analytics and Integration

One Day Smart Grid Supersession - Analytics and Integration

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General Meeting of the IEEE-Power-and-Energy-Society (PES)

作者： Liu, W-H Edwin McArthur, Stephen Giri, Jay Miu, Karen Pratt, Rob Wen, Jun Uluski, Bob Dow, Luther Labut, Gerard IEEE Computing and Analytical Methods Subcommittee United States IEEE PES Intelligent Systems Subcommittee United States IEEE PES Multi-Agent System Working Group United States Power Systems Technology and Strategic Initiatives ALSTOM Grid Redmond WA United States Electrical and Computer Engineering Department Drexel University United States Pacific Northwest National Laboratory's (PNNL's) Smart Grid R and D Program U.S. Department of Energy United States Transmission and Interconnection Planning Group Southern California Edison (SCE) Company United States WECC Modeling and Validation Working Group United States EPRI Power Delivery and Utilization Area United States Distribution and West Coast Operations Quanta Technology United States Distribution Operations SmartCurrentssm Program Strategy DTE Energy Detroit MI United States

ISBN: (纸本)9781457710018

The effort of "Smart Grid" is to modernize grid infrastructure and build-in intelligence to power grids and delivery systems, and their interfaces to customer premises. However, the perspectives range from an emphasis on infrastructure to an emphasis on new paradigm-shifting applications. Alternatively, the smart grid can be thought of as the advanced information technologies that enable the desired analytical applications. As a general understanding, we believe that Smart Grid needs to integrate power system analysis, computing and economics to enhance grid reliability, efficiency, and security, and contributes to the climate change strategic goal. In this Supersession, the analytics that empowers smart grid applications is discussed;and the practical implementation and integration challenges will be presented.

关键词： smart grid analytical applications system integration

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Performance analysis of best relay selection scheme for fixed gain cooperative networks in non-identical Nakagami-m channels

Performance analysis of best relay selection scheme for fixe...

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International Symposium on Wireless Communication Systems

作者： Hussain, Syed Imtiaz Hasna, Mazen Omar Alouini, Mohamed-Slim Electrical and Computer Engineering Program Texas A and M and University Qatar Education City Doha Qatar Department of Electrical Engineering Qatar University Doha Qatar

ISBN: (纸本)9781424463169

Selecting the best relay among all the relays ready to cooperate saves system resources and utilizes the available bandwidth more efficiently compared to the regular all-relay cooperation. This scheme also achieves the same or better system performance in terms of outage probability and diversity order. In this paper, we analyze the performance of the best relay selection scheme with fixed gain relays operating in non-identical Nakagami-m fading channels. We first derive the probability density function (pdf) using an upper bounded end-to-end signal to noise ratio (SNR) for the relay link. Using this pdf, we derive some key performance parameters for the system. The analytical results presented are verified through simulations. The results show that the best relay selection scheme outperforms the regular cooperation. © 2010 IEEE.

关键词： Probability density function

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A novel reduced-complexity group detection structure in MIMO frequency selective fading channels

A novel reduced-complexity group detection structure in MIMO...

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2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010

作者： Qaraqe, Khalid A. Ahimian, Nariman R. Alouini, Mohamed-Slim Department of Electrical Engineering Texas A and M University at Qatar Education City Doha Qatar Department of Electrical and Computer Engineering Texas A and M University College Station TX United States Electrical Engineering Program KAUST Tuwal Saudi Arabia

ISBN: (纸本)9781424437092

In this paper a novel reduced complexity detection method named modified symbol flipping method is introduced and its advantages on reducing the burden of the calculations at the receiver compared to the optimum maximum likelihood detection method on multiple input- multiple output frequency selective fading channels are explained. The initial concept of the symbol flipping method is derived from a preliminary detection scheme named bit flipping which was introduced in [1]. The detection structure employed in this paper is nulling, detection, and cancellation. On the detection stage, the proposed method is employed and the results are compared to the group maximum likelihood detection scheme proposed in [2]. Simulation results show that a 6 dB performance gain can be achieved at the expense of a slight increase in complexity in comparison with the conventional symbol flipping scheme. © 2010 Crown.

关键词： MIMO systems

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Development of an external neutron beam facility at the Ohio state university

Development of an external neutron beam facility at the Ohio...

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2010 ANS Annual Meeting and Embedded Topical Meeting: Isotopes for Medicine and Industry

作者： Turkoglu, D. Strah, J. Kandlakunta, P. Cao, L. Nuclear Engineering Program Department of Mechanical Engineering Ohio State University Columbus OH 43210 United States Department of Electrical and Computer Engineering Ohio State University Columbus OH 43210 United States

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Virtual reconstruction of archaeological vessels using expert priors & surface markings

Virtual reconstruction of archaeological vessels using exper...

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2010 IEEE computer Society Conference on computer Vision and Pattern Recognition - Workshops, CVPRW 2010

作者： Cohen, Fernand Taslidere, Ezgi Liu, Zexi Muschio, Glen Electrical and Computer Engineering Department United States Digital Media Program Drexel University Philadelphia PA 19104 United States

ISBN: (纸本)9781424470297

This paper presents a method to assist in the tedious procedure of reconstructing ceramic vessels from unearthed archaeological shards or fragments using 3D computer vision-enabling technologies. The method uses vessels surface markings combined with a generic model to produce a representation of what the original vessel may have looked like. .Generic vessel models used are based on a host of factors including expert historical knowledge of the period, provenance of the artifact and site location. The generic model need not be identical to the excavated vessel, but must be within the allowable class, i.e., it is within a geometric transformation of it in most of its parts. The ceramic vessels we worked with have markings, which we exploit under the allowable set of transformations between the generic model and the excavated vessel. We align them using a novel set of weighted curve moments. The morphing transformation (affine or higher order morphing function) is computed from these corresponding curves, and distance error metrics are introduced to access the accuracy of alignment of a fragment to a given vessel. If a vessel has no surface markings, we use curves for alignment these are computed from the intrinsic differential geometry of the surface and are also locally affine preserved. The methods are tested on a subset of Independence National Historical Park (INDE) ceramic artifacts created by 3-D scanning of prospective generic bowls and their pieces. © 2010 IEEE.

关键词： Mathematical transformations

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LINC power amplifiers for reducing out-of-band spectral re-growth: A comparative study

LINC power amplifiers for reducing out-of-band spectral re-g...

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2010 IEEE 11th Annual Wireless and Microwave Technology Conference, WAMICON 2010

作者： Baylis, Charles Moldovan, Matthew Wang, Loria Martin, Josh Wireless and Microwave Circuits and Systems Program Department of Electrical and Computer Engineering Baylor University Waco TX 76798 United States

ISBN: (纸本)9781424466887

The Linear Amplification with Nonlinear Components (LINC) power amplifier structure combiner implementation has an effect on the linearity and efficiency of the design. Understanding and using this tradeoff is helpful to radar and communication designers and can be used to assist in operating with optimum efficiency while meeting spectral mask requirements instituted by regulatory agencies. In this paper, a simulation-based investigation is performed into implementations with a 180-degree coupler and with a Chireix outphasing network. In general, the overall efficiency in both designs is a function of the amplitude modulation of the message signal in the LINC configuration;however, the 180-degree coupler has a potential to obtain higher linearity in many cases due to the isolation of its two input ports. In certain cases of amplitude modulation, however, much of the output power in the 180-degree coupler design is delivered to an unused termination rather than to the network output. ©2010 IEEE.

关键词： Power amplifiers

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