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Absolute maximal entanglement and quantum secret sharing

Physical Review A 2012年第5期86卷 052335-052335页

作者： Wolfram Helwig Wei Cui José Ignacio Latorre Arnau Riera Hoi-Kwong Lo Center for Quantum Information and Quantum Control (CQIQC) Department of Physics and Department of Electrical and Computer Engineering University of Toronto Toronto Ontario M5S 3G4 Canada Departament d’Estructura i Constituents de la Matèria Universitat de Barcelona 647 Diagonal 08028 Barcelona Spain Max Planck Institute for Gravitational Physics Albert Einstein Institute Am Mühlenberg 1 D-14476 Golm Germany Dahlem Center for Complex Quantum Systems Freie Universität Berlin 14195 Berlin Germany

We study the existence of absolutely maximally entangled (AME) states in quantum mechanics and its applications to quantum information. AME states are characterized by being maximally entangled for all bipartitions of the system and exhibit genuine multipartite entanglement. With such states, we present a parallel teleportation protocol which teleports multiple quantum states between groups of senders and receivers. The notable features of this protocol are that (i) the partition into senders and receivers can be chosen after the state has been distributed, and (ii) one group has to perform joint quantum operations while the parties of the other group only have to act locally on their system. We also prove the equivalence between pure state quantum secret sharing schemes and AME states with an even number of parties.

关键词： QUANTUM entanglement QUANTUM information theory QUANTUM teleportation INFORMATION sharing DISTRIBUTION (Probability theory)

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Some Fundamental Relaxation Properties Of Fractional Order Weighted Distributed Parameter Maxwell Model

Some Fundamental Relaxation Properties Of Fractional Order W...

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第五届国际自动控制联合会分数阶导数及其应用会议

作者： Lili Cao Yan Li Guohui Tian Baodong Liu YangQuan Chen School of Mathematics Shandong University Jinan Shandong 250061 P. R. China School of Control Science and Engineering Shandong University Jinan Shandong 250061 P. R. China Software College Shandong University Jinan Shandong 250061P. R. China Center for Self-Organizing and Intelligent Systems (CSOIS) Electrical and Computer Engineering Department Utah State University Logan UT 84322 USA

In this paper,we derive in time domain the constitutive equation and relevant properties of the fractional order weighted distributed parameter Maxwell *** weight function can be replaced by the Fourier series,which leads to three types of fractional order distributed parameter *** inverse Laplace transformand asymptotic properties

关键词： Some Fundamental Relaxation Properties Of Fractional Order Weighted Distributed Parameter Maxwell Model Fourier

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Wavelet based fault detection, classification and location in existing 500 kV transmission line

Wavelet based fault detection, classification and location i...

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International Conference on electrical engineering/Electronics, computer, Telecommunications and Information Technology

作者： Kajoijilertsakul, Pairoj Asawasripongtorn, Santi Sanposh, Peerayot Suwatthikul, Jittiwut Fujita, Hideaki Department of Electrical Engineering Faculty of Engineering Kasetsart University Bangkok Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center Bangkok Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology Tokyo Japan

ISBN: (纸本)9781457704246

This paper describes the implementation of Wavelet Transform and Spectral Energy analysis on samples of simulated voltage and current waveforms obtained from PSCAD/EMTDC for each of the all possible fault scenarios in a modeled 500 kV transmission network. The fault detection and classification of each fault scenarios is determined based on results of the voltage and current waveforms analysis in time and wavelet domains. The analysis is carried out including variation in fault types, inception angles and locations with a practically arbitrarily assumed fault duration. The analytical results shows that the described technique is highly dependable and is able to detect and classify different kinds of faults along a transmission line whatever is the fault type, inception angle and location. © 2011 IEEE.

关键词： Wavelet transforms

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Modeling and simulation of 500 kV transmission network for numerical fault calculation, detection, using PSCAD/EMTDC

Modeling and simulation of 500 kV transmission network for n...

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2011 Asia-Pacific Power and Energy engineering Conference, APPEEC 2011

ISBN: (纸本)9781424462551

This paper presents modeling of the 500 kV transmission line located between Bang-Saphan 2 (BSP2) and Chom-Bung (CBG) substations, Thailand. The network is modeled based on the transient simulation program- PSCAD/EMTDC. The equivalent circuit of BSP2 and CBG is obtained from the actual parameters. The initial condition parameters are verified by PSS/E, an electrical simulation program. After the modeling has been established, a fault analysis is done by using PSCAD/EMTDC in order to study the system response when fault constrains are applied. This paper has illustrated that how the information on the sampled voltage and current waveforms derived from PSCAD/EMDTC modeling and simulation can be used for fault detection, classification and location. © 2011 IEEE.

关键词： Equivalent circuits

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A new method for hybrid-fuzzy identification

A new method for hybrid-fuzzy identification

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作者： Núñez, Alfredo Sáez, Doris Škrjanc, Igor De Schutter, Bart Delft Center for Systems and Control Delft University of Technology Delft Netherlands Electrical Engineering Department Universidad de Chile Santiago Chile Faculty of Electrical and Computer Engineering University of Ljubljana Slovenia

ISBN: (纸本)9783902661937

In this paper a new identification method for non-linear hybrid systems that have mixed continuous and discrete states by using fuzzy clustering and principal component analysis is described. The method first determines the hybrid characteristic of the system inspired by an inverse form of the merge method for clusters, which makes it possible to identify the unknown switching points of a process based on just input-output data. Using the switching points, a hard partition of the input-output space is obtained. Then, we propose to use Takagi-Sugeno (TS) fuzzy models with Gaussian MFs as sub-models for each partition. Thus, the overall model is hybrid-fuzzy and will include explicitly the hybrid behavior of the system (the detected switching points) by means of binary MFs, and in each partition all the other non-linearities by means of TS sub-models. An illustrative experiment on a hybrid-tank system is conducted to present the benefits of the proposed approach. © 2011 IFAC.

关键词： Principal component analysis

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Algorithms for the traveling salesman problem with neighborhoods involving a Dubins vehicle

Algorithms for the traveling salesman problem with neighborh...

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作者： Isaacs, Jason T. Klein, Daniel J. Hespanha, João P. Center for Control Dynamical Systems and Computation Department of Electrical and Computer Engineering University of California Santa Barbara CA 93106 United States

ISBN: (纸本)9781457700804

We study the problem of finding the minimum-length curvature constrained closed path through a set of regions in the plane. This problem is referred to as the Dubins Traveling Salesperson Problem with Neighborhoods (DTSPN). Two algorithms are presented that transform this infinite dimensional combinatorial optimization problem into a finite dimensional asymmetric TSP by sampling and applying the appropriate transformations, thus allowing the use of existing approximation algorithms. We show for the case of disjoint regions, the first algorithm needs only to sample each region once to produce a tour within a factor of the length of the optimal tour that is independent of the number of regions. We present a second algorithm that performs no worse than the best existing algorithm and can perform significantly better when the regions overlap. © 2011 AACC American Automatic control Council.

关键词： Traveling salesman problem

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control of Flexible Joint Manipulator via Reduced Rule-Based Fuzzy control with Experimental Validation

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International Scholarly Research Notices 2012年第1期2012卷

作者： Mojtaba Rostami Kandroodi Mohammad Mansouri Mahdi Aliyari Shoorehdeli Mohammad Teshnehlab Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iranut.ac.ir Department of Control Engineering Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran Irankntu.ac.ir Department of Mechatronics Engineering Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Irankntu.ac.ir

A novel structure of fuzzy logic controller is presented for trajectory tracking and vibration control of a flexible joint manipulator. The rule base of fuzzy controller is divided into two sections. Each section includes two variables. The variables of first section are the error of tip angular position and the error of deflection angle, while the variables of second section are derivatives of mentioned errors. Using these structures, it would be possible to reduce the number of rules. Advantages of proposed fuzzy logic are low computational complexity, high interpretability of rules, and convenience in fuzzy controller. Implementing of the fuzzy logic controller on Quanser flexible joint reveals efficiency of proposed controller. To show the efficiency of this method, the results are compared with LQR method. In this paper, experimental validation of proposed method is presented.

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Satellite image retrieval application using Locality Sensitive Hashing in L2-space

Satellite image retrieval application using Locality Sensiti...

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2011 IEEE Aerospace Conference, AERO 2011

作者： Buaba, Ruben Homaifar, Abdollah Gebril, Mohamed Kihn, Eric Autonomous Control and Information Technology Center Department of Electrical and Computer Engineering North Carolina Agricultural and Technical State University Greensboro NC 27411 United States NOAA/NGDC 325 Broadway Boulder CO 80305 United States

ISBN: (纸本)9781424473502

This paper demonstrates the use of the Locality Sensitive Hashing technique operating in Euclidean metric space to build a data structure for Defense Meteorological Satellite Program (DMSP) satellite imagery database. Due to the high dimensionality of these images, their texture feature vectors are used. These features are extracted using pyramidal wavelet decomposition coupled with Gaussian central moments. Families of hash functions are drawn randomly and independently from a Gaussian distribution to create hash tables for these texture feature vectors of the images. The hash tables and the families of hash functions are then used to find similar satellite image matches to any query image in sublinear search time. When tested, our algorithm has proven to be about thirty three times faster than the linear search algorithm. In addition, our algorithm searches less than two percent of the entire database on the average to find the possible similar image matches to any given query without loss of accuracy. © 2011 IEEE.

关键词： Hash functions

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Structural indexing of satellite images using automatic classification

Structural indexing of satellite images using automatic clas...

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2011 IEEE Aerospace Conference, AERO 2011

作者： Gebril, Mohamed Buaba, Ruben Homaifar, Abdollah Kihn, Eric Autonomous Control and Information Technology Center Department of Electrical and Computer Engineering North Carolina Agricultural and Technical State University Greensboro NC 27411 United States NOAA/NGDC 325 Broadway Boulder CO 80305 United States

ISBN: (纸本)9781424473502

Shape descriptors have been used frequently as features to characterize an image for classification and image retrieval tasks. The problem of recognizing classes of objects in images is important for annotation and indexing of Satellite image databases. In this paper, a comparison between shape and texture features for classification is presented. The classification is based on Support Vector Machine (SVM) learning. SVM classifier can be learned from training data of relevance images and irrelevance images marked by users. Using the classifier, the system can retrieve more images relevant to the query in the database efficiently. The goal is to build an accurate and fast query-by-example using content based image retrieval based on the information extracted from satellite image data. We have investigated and described various feature extraction methods relevant to our work in this paper. The experimental results demonstrate that using the shape features give a better classification accuracy than that of the texture features. © 2011 IEEE.

关键词： Image classification

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Intelligent control of human prosthetic eye movements system for the emotional support by a huggable pet-type robot via Gaussian RBF neural network based on sliding mode control

Intelligent Control of human prosthetic eye movements system...

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2011 2nd International Conference on control, Instrumentation and Automation, ICCIA 2011

作者： Farivar, Faezeh Kandroodi, Mojtaba Rostami Shoorehdeli, Mahdi Aliyari Department of Mechatronics Engineering Science and Research Branch Islamic Azad University Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Faculty of Electrical Engineering Department of Mechatronics Engineering K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781467316903

In this study, intelligent control of human eye movements system for the emotional support by a huggable pet type robot via Gaussian RBF neural network based on sliding mode control is presented. Despite active research and significant progress in the last three decades on control of human eye movements, it remains challenging issue due to its applications in prosthetic eyes and robotics. The geometry and model of human eye movements system are investigated and this system is considered as a nonlinear control system. The specified model may only be an academic exercise. It can have scientific importance in understanding of the human movement system in general. Also, it can be useful for robotics. By using Gaussian RBF Neural Networks Based on Sliding Mode control, the control goal can be achieved. The adaptation laws of designed controllers are obtained based on sliding mode control methodology without calculating the Jacobian of the system. The proposed method is capable to control of human eye movements system. Intelligent methods such as artificial neural networks are proposed to control the human eye movements and numerical simulations are presented. It is concluded that the intelligent controls applied to control of human eye movements system are emulated from the neural controls in biological system. © 2011 IEEE.

关键词： Sliding mode control

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