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Seebeck and Spin Seebeck effect in Gd-doped GaN thin films for Thermoelectric devices and Applications

MrS Online Proceedings Library 2011年第1期1329卷 1-6页

作者： Bahadir Kucukgok Liqin Su Elisa N. Hurwitz Andrew Melton Liu Zhiqiang Na Lu Ian T. Ferguson Department of Optical Science and Engineering University of North Carolina at Charlotte USA Department of Electrical and Computer Engineering University of North Carolina at Charlotte USA Department of Electrical and Computer Engineering Georgia Institute of Technology USA Semiconductor Lighting R&D Center Institute of Semiconductors Chinese Academy of Sciences Beijing China Department of Engineering Technology Sustainable Material and Renewable Technology (SMART) Laboratory University of North Carolina at Charlotte USA

GaN-based dilute magnetic semiconductors (dMS) have recently been investigated for use in spintronic devices. In particular, Gd-doped GaN has shown very promising room temperature ferromagnetic behavior and potential for use in spintronics applications. III-Nitride materials have recently had their thermoelectric properties investigated; however this work has not been extended to Nitride-based dMS. Understanding the spin-calorimetric characteristics of GaN-based dMS is important to the successful development of low-power spintronic devices. In this paper the Seebeck and spin-Seebeck effect in MOCVd grown Gd-doped GaN (Gd: GaN) are investigated.

关键词： thermoelectric spintronic ferromagnetic

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Prospects for Bismuth Nanowires as Thermoelectrics

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MrS Online Proceedings Library 2011年第1期545卷 215-226页

作者： M. S. dresselhausa Z. Zhang X. Sun J. Y. Ying J. Heremans G. dresselhaus G. Chen Department of Physics Massachusetts Institute of Technology Cambridge USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge USA Department of Chemical Engineering Massachusetts Institute of Technology Cambridge USA Physics and Physical Chemistry Department General Motors R&D Center Warren USA Francis Bitter Magnet Laboratory Massachusetts Institute of Technology Cambridge USA Mechanical and Aerospace Engineering Department University of California Los Angeles USA

The small effective mass of Bi, high anisotropy of its Fermi surface, and the high aspect ratio (length/diameter) of Bi nanowires make this an excellent system for studying quantum confinement effects of a one-dimensional (Id) electron gas in relation to electrical conductivity, thermoelectric power, and thermal conductivity. A theoretical model based on the basic electronic band structure of bulk Bi is suitably modified to describe 1d bismuth nanowires and is used to predict the dependence of these transport properties on nanowire diameter, temperature and crystalline orientation of the bismuth nanowires. Experiments have been carried out on ultra-fine single crystal Bi nanowires (10–120 nm diameter) with a packing density as high as 7 × 1010 wires/cm2 to test the quantum confinement assumptions of the model and the occurrence of a quantum confinement-induced semimetal-to-semiconductor transition as the wire diameter becomes less than 100 nm. Prospects for the use of bismuth nanowires for thermoelectric applications are discussed.

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Joint selection of adaptive relaying mode in cooperative transmission

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The Journal of China Universities of Posts and Telecommunications 2010年第2期17卷 30-35页

作者： WANG Chao-wei LI Li-hua ZHANG Ping WANG Hai-feng Key Laboratory of Universal Wireless Communication Ministry of Education Beijing University of Posts and Telecommunications Beijing 100876 China Wireless Technology Innovation Institute Beijing University of Posts and Telecommunications Beijing 100876 China Wireless Modem System Research Device R&D Nokia Shanghai 200002 China

relay is a promising technology in wireless communications. There are several relaying modes for different channel conditions In this article, an adaptive relaying mode selection scheme by destination and relay is proposed. The proposed scheme changes the signal forwarding mode at the relay station. It adaptively chooses among amplify-and-forward （AF）, decode-and-forward （dF） and direct mode according to cyclic redundancy check （CrC） detection at relay and destination. Moreover, block error rate （BLEr） and throughput are adopted to evaluate system performance. The simulation results demonstrate that the proposed scheme significantly outperforms other existing relaying mode selection schemes.

关键词： joint selection scheme relay CrC amplify-and-forward decode-and-forward

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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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Voltage Assessment in distributed Network with Photovoltaic Plant

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International Scholarly research Notices 2011年第1期2011卷

作者： Niancheng Zhou Jizhong Zhu State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing 400044 *** R&D Group Alstom Grid Inc. 10865 Willows Road NE Redmond WA 98052 ***

This paper presents an approach to analyze the steady-state voltage change in distributed network with or without connection of Photovoltaic (PV) plant. Several scenarios are discussed: the voltage drop of distribution feeders with or without PV plant; the voltage impact in distributed network with different weather conditions; the impacts of PV power plant capacity on the voltage. A practical distribution system with PV plant in China is used for simulation. The results and analysis are reported.

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Visual tools for dynamic analysis of complex situations

Visual tools for dynamic analysis of complex situations

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1st IEEE Conference on Visual Analytics Science and Technology, VAST 10

作者： Mokhtari, Marielle Boivin, Eric Laurendeau, denis Girardin, Maxime System of Systems Section Defence R and D Canada Quebec QC Canada Computer Vision and Systems Laboratory Dept. of ECE Laval University Quebec QC Canada

This paper presents an interactive interface synchronized with a simulation framework for exploring complex scenarios. This interface exploits visual analysis for facilitating the understanding of complex situation by... 详细信息

ISBN: (纸本)9781424494866

关键词： Animation

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Transmit Preprocessing for Cluster Based Multi-User relay systems

Transmit Preprocessing for Cluster Based Multi-User Relay Sy...

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IEEE Conference on Vehicular Technology (VTC)

作者： Lei Song Lihua Li Gang Wu Chaowei Wang Haifeng Wang Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications Beijing China Wireless Modem System Research Devices R&D Nokia Shanghai China

In a mobile relay system, the idle users can be formed as a cluster to support nearby active users. In order to reduce the complexity of the processing in the relay nodes and destination nodes, a novel transmit preprocessing method is proposed for the cluster based multi-user relay system. Block diagonalization (Bd) algorithm is adopted twice in the proposed method to remove inter-cluster and intra-cluster interference simultaneously, and the relay nodes are just in simple amplify-and-forward (AF) mode. Compared to the conventional signal processing methods, the proposed method can achieve better tradeoff between sum capacity performance and processing complexity in the relay nodes.

关键词： Signal processing algorithms relays Clustering algorithms Interference Signal processing MIMO Algorithm design and analysis

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Macromol. rapid Commun. 14/2011

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Macromolecular rapid Communications 2011年第14期32卷

作者： Na Young Kwon daigeun Kim Ji Hye Son Geun Seok Jang Jung Hyo Lee Taek Seung Lee Organic and Optoelectronic Materials Laboratory Department of Advanced Organic Materials and Textile System Engineering Chungnam National University Daejeon 305‐764 Korea LG Innotek Component R&D Center 1271 Sa 3‐Dong Sangrok‐gu Ansan‐si Gyeonggi‐do 426‐791 Korea Organic and Optoelectronic Materials Laboratory Department of Nanotechnology Chungnam National University Daejeon 305‐764 Korea Samsung Cheil Industries Inc. 332‐2 Gocheon‐dong Uiwang‐si Gyeonggi‐do 437‐711 Korea

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Joint Uplink and downlink relay Selection in Cooperative Cellular Networks

Joint Uplink and Downlink Relay Selection in Cooperative Cel...

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IEEE Conference on Vehicular Technology (VTC)

作者： Wei Yang Lihua Li Gang Wu Haifeng Wang Ying Wang Key Laboratory of Universal Wireless Commun Ministry of Education Wireless Technology Innovation Institute BUPT Beijing University of Posts and Telecommunications China Wireless Modem System Research Device R&D Nokia ShangHai China

We consider relay selection technique in a cooperative cellular network where user terminals act as mobile relays to help the communications between base station (BS) and mobile station (MS). A novel relay selection scheme, called Joint Uplink and downlink relay Selection (JUdrS), is proposed in this paper. Specifically, we generalize JUdrS in two key aspects: (i) relay is selected jointly for uplink and downlink, so that the relay selection overhead can be reduced, and (ii) we consider to minimize the weighted total energy consumption of MS, relay and BS by taking into account channel quality and traffic load condition of uplink and downlink. Information theoretic analysis of the diversity-multiplexing tradeoff demonstrates that the proposed scheme achieves full spatial diversity in the quantity of cooperating terminals in this network. And numerical results are provided to further confirm a significant energy efficiency gain of the proposed algorithm comparing to the previous best worse channel selection and best harmonic mean selection algorithms.

关键词： relays downlink Energy consumption Harmonic analysis Fading Land mobile radio cellular systems Wireless communication

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Projection Vector Machine: One-stage learning algorithm from high-dimension small-sample data

Projection Vector Machine: One-stage learning algorithm from...

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International Joint Conference on Neural Networks (IJCNN)

作者： Wanyu deng Qinghua Zheng Shiguo Lian Lin Chen Xin Wang MOE KLINNS Lab and SKLMS Laboratory the Department of Computer Science and Technology Xi''an Jiaotong University China Xi''an Institute of Posts and Telecommunications China R&D (Orange Labs) France Telecom Beijing China

The presence of fewer samples and large number of input features increases the complexity of the classifier and degrades the stability. Thus, dimension reduction was always carried before supervised learning algorithms such as neural network. This two-stage framework is somewhat redundant in dimension reduction and network training. This paper proposes a novel one-stage learning algorithm for high-dimension small-sample data, called Projection Vector Machine (PVM), which combines dimension reduction with network training and removes the redundancy. Through dimension reduction operation such as singular vector decomposition (SVd), we not only reduce the dimension but also obtain the size of single-hidden layer feedforward neural network (SLFN) and input weight values simultaneously. This size-fixed network will become linear programming system and thus the output weights can be determined by simple least square method. Unlike traditional backpropagation feedforward neural network (BP), parameters in PVM don't need iterative tuning and thus its training speed is much faster than BP. Unlike extreme learning machine (ELM) proposed by Huang [G.-B. Huang, Q.-Y. Zhu, C.-K. Siew, Extreme learning machine: theory and applications, Neurocomputing 70 (2006) 489-501] which assigns input weights randomly, PVM's input weights are ranked by singular values and select the optimal weights order by singular value. We give proof that PVM is a universal approximator for high-dimension small-sample data. Experimental results show that the proposed one-stage algorithm PVM is faster than two-stage learning approach such as SVd+BP and SVd+ELM.

关键词： Training Neurons Artificial neural networks Machine learning Algorithm design and analysis Accuracy Classification algorithms

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