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检索条件"主题词=Algorithm Design And Analysis"

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New Pilot Allocation design Schemes for Sparse Channel Estimation in OFDM System 5

New Pilot Allocation Design Schemes for Sparse Channel Estim...

引用

IEEE International Conference on Signal and Image Processing Applications (ICSIPA)

作者： Uwaechia, Anthony Ngozichukwuka Mahyuddin, Nor Muzlifah Univ Sains Malaysia Sch Elect & Elect Engn Nibong Tebal 14300 Malaysia

ISBN: (纸本)9781509055593

In this paper, the problem of the deterministic pilot allocation for sparse channel estimation in Orthogonal Frequency Division Multiplexing (OFDM) system is investigated. This method is based on mutual coherence minimization of the measurement matrix associated with the OFDM system pilot subcarriers. It is known that if the set of pilot pattern is a Cyclic Difference Set (CDS), the mutual coherence of the measurement matrix is minimized. However, CDS in most practical OFDM system is not available. Few research efforts have tackled the problem of pilot allocation by proposing methods that lead to suboptimal solutions in order to ignore the computationally complex exhaustive search method. This contribution, however, proposes two pilot allocation design schemes for the construction of deterministic partial Fourier matrices satisfying the Restricted Isometry Property (RIP) namely, the Generic Random Search (GRS) and Progressive Search (PS) based on bounding the mutual coherence between different columns of the measurement matrix. Simulation results show that the two proposed pilot allocation design schemes are effective and offer a better channel estimation performance in terms of MSE when compared to former pilot allocation design methods.

关键词： OFDM Resource management Coherence Channel estimation Minimization Sparse matrices algorithm design and analysis

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Solar Energy Harvesting Optimization for Wireless Sensor Networks

Solar Energy Harvesting Optimization for Wireless Sensor Net...

引用

IEEE Global Telecommunications Conference (GLOBECOM)

作者： Jackson, Greg Ciocoiu, Simona McCann, Julie A. Imperial Coll London London England Intel Labs Europe ICRI London England

ISBN: (纸本)9781509050192

The energy optimization of resource constrained energy harvesting Wireless Sensor Networks (WSN) have constituted a major research topic in recent years in areas such as environmental monitoring, hazard detection and industrial applications. Current approaches leverage techniques such as adaptive duty cycling, transmission power adaptation and data reduction methods to minimize energy consumption. However, the majority of the state of the art approaches with WSN research assume that energy generation, although variable, is not controllable in-situ to optimize energy generation. In this paper, we design a low power, low cost, open source solar tracking mechanism for energy harvesting wireless sensors. Furthermore, we formulate the dynamic energy generation system as an optimization problem and from this design an adaptive, lightweight, distributed, prediction free algorithm to maximize the energy generation of the system. Moreover, we evaluate the proposed method using a combination of real trace-driven real solar data based simulation, comparison to a centralized globally optimum solution and real world experimentation. From our evaluation, an improvement of up to 165% in energy generation has been seen when compared to traditional tracking methodologies and that the lightweight distributed implementation is, on average, 99.1% as efficient as the globally optimum solution across 28 distinct testing scenarios.

关键词： Wireless sensor networks Tracking Optimization Solar energy Data models Photovoltaic cells algorithm design and analysis

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Empirical study of bound constraint-handling methods in particle swarm optimization for constrained search spaces

Empirical study of bound constraint-handling methods in part...

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IEEE Congress on Evolutionary Computation (CEC)

作者： Juarez-Castillo, Efren Acosta-Mesa, Hector-Gabriel Mezura-Montes, Efren Univ Veracruz Artificial Intelligence Res Ctr Sebastian Camacho 5 Xalapa 91000 Veracruz Mexico

ISBN: (纸本)9781509046010

This paper presents an empirical study comparing the performance of thirty-five boundary constraint-handling methods (BCHM) for PSO in constrained optimization, which were tested in a set of thirty-six well-known constrained problems. Each BCHM is composed as an hybrid consisting of one position update techniques and one velocity update strategy. Results show that the hybrid method that relocates the particles through a position update technique called Centroid and modifies its velocity through the Deterministic Back strategy is able to promote better final results and improving both, the approach to the feasible region and the ability to generate better feasible solutions.

关键词： Optimization Mathematical model Sociology Statistics Particle swarm optimization Linear programming algorithm design and analysis

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Applying the Biased Form of the Adaptive Generative Representation

Applying the Biased Form of the Adaptive Generative Represen...

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IEEE Congress on Evolutionary Computation (CEC)

作者： Montgomery, James Ashlock, Daniel Univ Tasmania Sch Engn & ICT Hobart Tas Australia Univ Guelph Dept Math & Stat Guelph ON Canada

ISBN: (纸本)9781509046010

This study is the second using real-coded representation for problems usually solved with a discrete coding. The adaptive generative representation is able to adapt itself on the fly to prior parts of the construction of an object as it assembles it. In the initial study the ability of the representation to take user supplied or problem supplied biases that change its behavior was demonstrated but not explored. In this study the bias is used to change the way evolution explores a fitness landscape for both an RFID antenna design problem and small instances of the traveling salesman problem. Addition of a bias to two different generative representations promotes the evolution of longer antenna designs (a heuristic objective associated with good antennas) while leading the algorithm to generate designs with distinctive shape characteristics. For the traveling salesman, a simple inverse-distance bias for the adaptive generative representation causes a large improvement in performance over a random key representation in 99 of 100 instances studied.

关键词： Radiofrequency identification Encoding algorithm design and analysis Dipole antennas Shape Surface acoustic waves

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Extended Reliable Robust Motion Planners 56

Extended Reliable Robust Motion Planners

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56th Annual IEEE Conference on Decision and Control (CDC)

作者： Panchea, Adina M. Chapoutot, Alexandre Filliat, David Univ Paris Saclay CNRS Ecole Polytech LIX Palaiseau France Univ Paris Saclay EN STA ParisTech U2IS Palaiseau France

ISBN: (纸本)9781509028733

A new method to plan guaranteed to be safe paths in an uncertain environment, with an uncertain initial and final configuration space, while avoiding static obstacles is presented. First, two improved versions of the previously proposed BoxRRT algorithm are presented: both with a better integration scheme and one of them with the control input selected according to a desired objective, and not randomly, as in the original formulation. Second, a new motion planner, called towards BoxRRT(star), based on optimal Rapidly-exploring Random Trees algorithm and using interval analysis is introduced. Finally, each of the described algorithms are evaluated on a numerical example. Results show that our algorithms make it possible to find shorter reliable paths with less iterations.

关键词： Robustness Mobile robots Uncertainty algorithm design and analysis Planning Approximation algorithms

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Exploring Boundary Constraints using the Modified Brain Storm Optimization algorithm and a Boundary Search operator: MBSO-BS

Exploring Boundary Constraints using the Modified Brain Stor...

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IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)

作者： Cervantes-Castillo, Adriana Leguizamon, Guillermo Mezura-Montes, Efren Univ Veracruzana Artificial Intelligence Res Ctr Veracruz Mexico Univ Nacl San Luis San Luis Argentina

ISBN: (纸本)9781538608197

In this paper a special Boundary Search operator is added to the Brain Storm Optimization algorithm leading to the search process towards the feasibility boundary of the hardest current constraint. Two new boundary search operator versions are introduced inspired in the analytical geometry division line segment topic and the gradient method, respectively. The algorithm performance is analysed by solving 36 well-know constrained problems, reporting an improvement degree in the range of 22% to 27% of the total of functions in 10D and 50% to 66% of the total of functions in 30D compared with the epsilon DEag algorithm.

关键词： algorithm design and analysis Gradient methods Clustering algorithms Storms Sociology Statistics

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The Research of Interconnection Network on CoarseGrained Reconfigurable Cipher Logic Array 2

The Research of Interconnection Network on CoarseGrained Rec...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Yuanming Li Yinjian Yan Wei Li Min Liu Department of Microelectronics Institution of Information Science and Technology State Key Lab of ASIC and System Fudan University

Coarse-grained reconfigurable array( CGRA) has an advantage in the implementation of symmetric cryptog raphic algorithms with high performance and flexibility. S pecially, interconnection network is u

ISBN: (纸本)9781467389808

关键词： Multiprocessor interconnection algorithm design and analysis Ciphers Delays Clustering algorithms Noise measurement

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Implementation of Ant Colony Optimization Combined with Tabu Search for Multi-Resource Fair Allocation in Heterogeneous Cloud Computing 3

Implementation of Ant Colony Optimization Combined with Tabu...

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IEEE 3rd International Conference on Big Data Security on Cloud (BigDataSecurity) / 3rd IEEE International Conference on High Performance and Smart Computing (HPSC) / 2nd IEEE International Conference on Intelligent Data and Security (IDS)

作者： Liu, Xi Zhang, Xiaolu Cui, Qianna Li, Weidong Yunnan Univ Kunming Yunnan Peoples R China

ISBN: (纸本)9781509062966

Resource allocation strategy has been a hot and difficult research topic in the field of cloud computing. We address the problem of resource fairness allocation in heterogeneous cloud computing where the multiple types of resource are considered, which is computationally intractable. There is a significant gap between the solutions obtained by existing heuristic algorithms and the optimal solutions, leading to lower resource utilization and unfair resource allocation. We propose a hybrid algorithm based on ant colony optimization (ACO) and Tabu Search (TS) to maximize the minimum global dominant share in heterogeneous servers. In order to balance the exploitation and exploration of the algorithm, the new self-adaptive parameter settings are introduced as uniformly random numbers to enhance the diversity of the population. Furthermore, we propose a revising operation to change infeasible solutions into feasible solutions. Compared with some algorithms from the literature, the experimental results indicate that our proposed algorithm can maximize the global dominant share fairly and increase the resource utilization, and it is highly adaptable to different situations.

关键词： Resource management Servers Cloud computing algorithm design and analysis Heuristic algorithms Sociology Statistics

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β-expansion: A Theoretical Framework for Fast and Recursive Construction of Polar Codes

β-expansion: A Theoretical Framework for Fast and Recursive...

引用

IEEE Global Telecommunications Conference (GLOBECOM)

作者： He, Gaoning Belfiore, Jean-Claude Land, Ingmar Yang, Ganghua Liu, Xiaocheng Chen, Ying Li, Rong Wang, Jun Ge, Yiqun Zhang, Ran Tong, Wen Huawei Technol Paris Res Ctr 20 Quai Point Jour Boulogne Billancourt France Huawei Technol Hangzhou Res Ctr 360 Jiangshu Rd Hangzhou Zhejiang Peoples R China Huawei Technol Ottawa Res Ctr 303 Terry Fox Dr Ottawa ON Canada

ISBN: (纸本)9781509050192

In this work, we introduce beta-expansion, a notion borrowed from number theory, as a theoretical framework to study fast construction of polar codes based on a recursive structure of universal partial order (UPO) and polarization weight (PW) algorithm. We show that polar codes can be recursively constructed from UPO by continuously solving several polynomial equations at each recursive step. From these polynomial equations, we can extract an interval for beta, such that ranking the synthetic channels through a closed-form beta-expansion preserves the property of nested frozen sets, which is a desired feature for low-complex construction. In an example of AWGN channels, we show that this interval for beta converges to a constant close to 1.1892 approximate to 2(1/4) when the code block-length trends to infinity. Both asymptotic analysis and simulation results validate our theoretical claims.

关键词： Reliability AWGN channels Indexes algorithm design and analysis Color Electronic mail Complexity theory

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Intrusion Detection with Unsupervised Heterogeneous Ensembles using Cluster-based Normalization 24

Intrusion Detection with Unsupervised Heterogeneous Ensemble...

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24th IEEE International Conference on Web Services (ICWS)

作者： Ruoti, Scott Heidbrink, Scott O'Neill, Mark Gustafson, Eric Choe, Yung Ryn Sandia Natl Labs Livermore CA 94550 USA

ISBN: (纸本)9781538607527

Outlier detection has been shown to be a promising machine learning technique for a diverse array of fields and problem areas. However, traditional, supervised outlier detection is not well suited for problems such as network intrusion detection, where proper labelled data is scarce. This has created a focus on extending these approaches to be unsupervised, removing the need for explicit labels, but at a cost of poorer performance compared to their supervised counterparts. Recent work has explored ways of making up for this, such as creating ensembles of diverse models, or even diverse learning algorithms, to jointly classify data. While using unsupervised, heterogeneous ensembles of learning algorithms has been proposed as a viable next step for research, the implications of how these ensembles are built and used has not been explored.

关键词： Clustering algorithms algorithm design and analysis Anomaly detection Measurement Diversity reception Intrusion detection Laboratories

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