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Innovative Smart Grid Technologies (ISGT)

作者： Ahmed Mohamed Ahmed Ghareeb Tarek Youssef Osama A. Mohammed Energy Systems Research Laboratory at the Electrical and Computer Engineering Department Florida International University Miami FL USA Electrical and Computer Engineering Department College of Engineering and Computing Florida International University Miami FL USA Electrical Engineering Department Florida International University USA Electrical and Computer Engineering and the Director of the Energy Systems Research Laboratory Florida International University USA

In this paper, the application of wide area measurement and control for voltage assessment of hybrid AC/DC smart grid is investigated. The power available from renewable energy assets and storage elements on the microgrids is utilized to maintain system voltage stability. The system under study consists of two DC microgrids coupled to a multi-bus AC system. The supervisory controller of each of the two microgrids continuously communicates with the main controller of the AC grid, sending the available amount of apparent power and receiving power commands. The AC grid is monitored and controlled using a wide area measurement system in which measurements of the different nodes in the system are synchronized to a unified pulse signal. In case of voltage violation at any of the buses, the minimum reactive power needed from each of the micrgrids in order to restore the voltage magnitude to a value that is between the permissible limits is determined in real time by solving an optimization problem. Simulation, as well as experimental, results are included to verify the validity of the proposed wide area control technique.

关键词： Microgrids Reactive power Genetic algorithms Smart grids Monitoring Voltage control

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Impact of control flow blocks granularity on custom processor design time

Impact of control flow blocks granularity on custom processo...

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Proceedings of the International Convention MIPRO

作者： D. Ivošević V. Sruk Department of Electronics Microelectronics Computer and Intelligent Systems Faculty of Electrical Engineering and Computing Zagreb Croatia

One of the key issues for system level design topic is the design time. This paper describes custom processor design tool as part of C-to-hardware flow and analyses its design time. The flow starts with C code specification and ends with FPGA implementation. The way the C code is processed has impact on the flow execution time. The implemented C code processing results with Control Flow Graph (CFG), and large control flow code blocks severely prolong the overall design time. Between two possibilities for design time improvement, variations in their granularities are chosen over tool internal algorithm and data structures optimizations. For 32-point DCT test case the results show huge design time decrease at the expense on the design quality: implementation resource occupation and execution time.

关键词： Discrete cosine transforms Field programmable gate arrays Registers Algorithm design and analysis computer architecture Optimization Schedules

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Marginalized denoising autoencoder via graph regularization for domain adaptation

Marginalized denoising autoencoder via graph regularization ...

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20th International Conference on Neural Information Processing, ICONIP 2013

作者： Peng, Yong Wang, Shen Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong Unviersity Shanghai 200240 China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109 United States MoE-Microsoft Key Lab. for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong Unviersity Shanghai 200240 China

ISBN: (纸本)9783642420412

Domain adaptation, which aims to learn domain-invariant features for sentiment classification, has received increasing attention. The underlying rationality of domain adaptation is that the involved domains share some common latent factors. Recently neural network based on Stacked Denoising Auto-Encoders (SDA) and its marginalized version (mSDA) have shown promising results on learning domain-invariant features. To explicitly preserve the intrinsic structure of data, this paper proposes a marginalized Denoising Autoencoders via graph Regularization (GmSDA) in which the autoencoder based framework can learn more robust features with the help of newly incorporated graph regularization. The learned representations are fed into the sentiment classifiers and experiments show that the GmSDA can effectively improve the classification accuracy when comparing with some state-of-the-art models on the cropped Amazon benchmark data set. © Springer-Verlag 2013.

关键词： Classification (of information)

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Unified Flow of Custom Processor Design and FPGA Implementation

Unified Flow of Custom Processor Design and FPGA Implementat...

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IEEE EUROCON

作者： Danko Ivosevic Vlado Sruk Faculty of Electrical Engineering and Computing University of Zagreb Department of Electronics Microelectronics Intelligent and Computer Systems

ISBN: (纸本)9781467322331

The automation of custom hardware design often focuses on hardware optimizations for smaller portions of code that dominate the design execution. The same presumption can be stated for custom processor design. The data path of the processor can be well optimized for particular blocks of code that are formed during control flow extraction. However, larger source codes can have tens of blocks that result from Control Flow Graph (CFG). We implemented a global semi-automated flow that hierarchically forms the set of blocks which contributions are modeled into processor architecture. Resulting processor model is translated to RTL description and implemented inside FPGA logic.

关键词： Custom Processor Design No-Instruction-Set computer High-Level Synthesis Data Path Design FPGA Implementation

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Extension and Detailed Overview of the HRVFrame Framework for Heart Rate Variability Analysis

Extension and Detailed Overview of the HRVFrame Framework fo...

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IEEE EUROCON

作者： Alan Jovic Nikola Bogunovic Marko Cupic Department of Electronics Microelectronics Computer and Intelligent Systems Faculty of Electrical Engineering and Computing University of Zagreb

ISBN: (纸本)9781467322331

The analysis of heart rate variability (HRV) is an important diagnostic method for detection and assessment of cardiac abnormalities. The availability of complete computer frameworks that can aid researchers in the field of HRV analysis is limited due to the large number of different feature extraction methods. A recently developed framework for feature extraction from cardiac rhythm called HRVFrame is promising, because it allows a user to access more than 40 implemented linear and nonlinear methods. The aim of this paper is to provide a more detailed overview of this framework and all of its capabilities and recent extensions. Additionally, the aim is to encourage the use of HRVFrame as a free and open-source tool for developing medical applications based on Java programming language. A comparison of the framework with existing solutions for cardiac rhythm analysis is provided.

关键词： Feature extraction Heart rate variability Framework Java programming Open-source software Medical applications

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Observation of tunnel magnetoresistance in a superconducting junction with Zeeman-split energy bands

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Physical Review B 2013年第16期88卷 161105(R)-161105(R)页

作者： Bin Li Guo-Xing Miao Jagadeesh S. Moodera Francis Bitter Magnet Laboratory Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Institute for Quantum Computing and Department of Electrical and Computer Engineering University of Waterloo Waterloo Ontario Canada N2L3G1 Department of Physics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA

The change of the quasiparticle density of states in a superconductor due to the Zeeman splitting can lead to highly responsive spintronic devices. This is demonstrated here in the magnetotunneling studies of a supercondcutor/insulator/ferromagnet tunnel junction. A tunnel magnetoresistance (TMR) as large as 36% is obtained, resulting from the conductance variation due to spin-split quasiparticle tunneling, and only occurs in the superconducting state. Our results show that in addition to the naturally existent spin imbalance in ferromagnets (upon which conventional TMR is obtained), we can manipulate tunnel conductance by tailoring spin dependent density of states with interfacial exchange fields, and even with a tunnel junction with both superconducting electrodes.

关键词： MAGNETORESISTANCE SUPERCONDUCTING junction devices SPINTRONICS ENERGY bands ZEEMAN effect

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Structure preserving low-rank representation for semi-supervised face recognition

Structure preserving low-rank representation for semi-superv...

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20th International Conference on Neural Information Processing, ICONIP 2013

作者： Peng, Yong Wang, Suhang Wang, Shen Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong Unviersity Shanghai 200240 China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109 United States MOE-Microsoft Key Lab. for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong Unviersity Shanghai 200240 China

ISBN: (纸本)9783642420412

Constructing an informative and discriminative graph plays an important role in the graph based semi-supervised learning methods. Among these graph construction methods, low-rank representation based graph, which calculates the edge weights of both labeled and unlabeled samples as the low-rank representation (LRR) coefficients, has shown excellent performance in semi-supervised learning. In this paper, we additionally impose twofold constraints (local affinity and distant repulsion) on the LRR graph. The improved model, termed structure preserving LRR (SPLRR), can preserve the local geometrical structure but without distorting the distant repulsion property. Experiments are taken on three widely used face data sets to investigate the performance of SPLRR and the results show that it is superior to some state-of-the-art semi-supervised graphs. © Springer-Verlag 2013.

关键词： Face recognition

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On Authentication in a Connected Vehicle: Secure Integration of Mobile Devices with Vehicular Networks

On Authentication in a Connected Vehicle: Secure Integration...

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IEEE/ACM International Conference on Cyber-Physical systems

作者： Kyusuk Han Swapna Divya Potluri Kang G. Shin Real-Time Computing Laboratory Department of Electrical Engineering and Computer Science The University of Michigan

ISBN: (纸本)9781450319966

Recent advances in in-vehicle technologies have paved way to a new era of connectivity. Vehicle manufacturers have already deployed various technologies for driving assistance, anti-theft, and infotainment. They are now developing ways to interface mobile devices with vehicles and provide the customer's smartphone or tablet the ability to send/receive information to/from the car. However, such an integration introduces severe security risks to the vehicle. The in-vehicle network was originally designed to operate in a closed environment and thus, security was not of concern. It has now become an important issue due to an increasing number of external interfaces to the in-vehicle network. Several studies have already shown that an in-vehicle network can be easily compromised just by connecting cheap commercial devices and doing reverse engineering. Although research efforts have been made to secure in-vehicle networks, most of them focused on defining security requirements, or presenting attack scenarios without providing any feasible solution. Also, to the best of our knowledge, there hasn't been any study with a specific focus on understanding and analyzing the security aspects of integrating mobile devices with cars. In this paper, we define the integration model, present the attack scenarios, define the security objectives, and then propose a 3-step verification mechanism that meets our objectives.

关键词： Vehicular networks Security Mobile device integration Authentication Controller Area Network (CAN) Vehicle Network Mobile devices Authentication Security Goals Security vehicle Cars Secure DNA Integration integration safety requirements Network

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Model predictive control for HVAC systems - A review

Model predictive control for HVAC systems - A review

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2013 IEEE International Conference on Automation Science and engineering, CASE 2013

作者： Kwadzogah, Roger Zhou, Mengchu Li, Sisi Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07013 United States Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China

ISBN: (纸本)9781479915156

The world faces an energy problem. Oil supply is gradually running out. Its use is polluting the planet with greenhouse gas. Most alternative energy sources also pose some environmental problems. Hence the efficient use of energy must be an integral part of any solution to them. Whenever possible, one must use advanced control engines and technologies to achieve the highest energy efficiency. In Heating Ventilation and Air Conditioning (HVAC) industry, much research has identified a number of energy-saving control methods. Derived from optimal control theory, Model Predictive Control (MPC) is one of them. This paper presents a comprehensive review of its applications to HVAC systems. © 2013 IEEE.

关键词： Model predictive control

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Calculation of the radar ambiguity function from time-domain measurement data for real-time, amplifier-in-the-loop waveform optimization

Calculation of the radar ambiguity function from time-domain...

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82nd ARFTG Microwave Measurement Conference: Characterization, Modeling, and Design of RF and mm-Wave Devices and Circuits, ARFTG 2013

作者： Fellows, Matthew Baylis, Charles Cohen, Lawrence Marks II, Robert J. Wireless and Microwave Circuits and Systems Program Department of Electrical and Computer Engineering Baylor University Waco TX United States Naval Research Laboratory Radar Division Washington DC United States

ISBN: (纸本)9781467349826

The ambiguity function is a measure of a radar's range and Doppler detection capability. Cognitive radar systems require the capability to adjust the waveform in realtime to obtain desired range/Doppler detection capability while meeting stringent spectral requirements. While the ambiguity function of the waveform input to the transmitter can be simulated, it is the ambiguity function of the transmitter power amplifier's output waveform that will be used for the detection. As such, it is very helpful to be able to measure the ambiguity function output from a power amplifier in the optimization process. This paper describes a technique that can be used to quickly calculate the ambiguity function for the output waveform from the radar amplifier as measured on an oscilloscope. Brief examination is also given to the effect of amplifier nonlinearity on the ambiguity function. © 2013 IEEE.

关键词： Transmitters

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