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An Improved Possibilistic Clustering Based on Differential Algorithm

An Improved Possibilistic Clustering Based on Differential A...

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international workshop on Intelligent Systems and applications, ISA

作者： Yating Hu Fuheng Qu Yong Yang Xinchao Gu School of Mechanical Science and Engineering Jilin University Changchun China School of Computer Science and Technology Changchun University of Science and Technology Changchun China

ISBN: (纸本)9781424458721;9781424458745

A possibilistic clustering algorithm called unsupervised possibilistic clustering (UPC) was proposed in a previous paper. Although UPC is sound, the algorithm has the problem of generating coincident clusters. In this paper, we propose a new clustering model called improved unsupervised possibilistic clustering (IUPC) to overcome this weakness of UPC, and an efficient global optimization technique-differential evolution algorithm (DE) is introduced to optimize the proposed model. In IUPC, the optimal cluster centers are searched by the DE algorithm within a fixed feasible region, which is determined by the fuzzy c-means clustering algorithm. IUPC inherits the merits of UPC. In the meanwhile, it avoids the problem of generating coincident clusters by limiting the feasible regions of different clusters disjoint. The contrast experiments with PCM and its variants show the effectiveness of IUPC.

关键词： Clustering algorithms Phase change materials optimization methods Noise robustness Acoustical engineering Computer science Acoustic noise Noise generators

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Joint ABS power and resource allocations for eICIC in heterogeneous networks

Joint ABS power and resource allocations for eICIC in hetero...

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international workshop on Signal Design and Its applications in Communications (IWSDA)

作者： Yu Chen Xuming Fang Bo Huang Key Lab of Information Coding and Transmission Southwest Jiaotong University Chengdu China

Heterogeneous networks (HetNets) are expected to be one of the major performance enhancement enablers of LTE-Advanced. In order to protect pico-UEs from the strong macro interference, the macro eNBs need to reduce the transmission power during protected subframes instead of suspending data transmission introduced in 3GPP Release 10, scheduling strictly users in the vicinity of the macro eNBs. In this paper, based on low power (LP) almost blank subframes (ABS), we study a joint optimization of power allocation of ABS (called dynamic LP-ABS) and resource allocation to maximize the total throughput. The proposed algorithm takes into account the power allocation of ABSs in the marco eNB, the ABS partition and the UE association in all cells. Simulation results show that dynamic LP-ABS can effectively increase system throughput compared to the fixed LP-ABS and zero-ABS.

关键词： Resource management Interference Throughput Partitioning algorithms optimization Joints Signal to noise ratio

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Hybrid BIST optimization for core-based systems with test pattern broadcasting

Hybrid BIST optimization for core-based systems with test pa...

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IEEE international workshop on Electronic Design, Test and applications (DELTA)

作者： R. Ubar M. Jenihhin G. Jervan Zebo Peng Department of Computer Engineering Tallinn Technical University Estonia Embedded Systems Laboratory (ESLAB) Linköping University Sweden

This paper introduces a technique for hybrid BIST time optimization for testing core-based systems that use test pattern broadcasting for both pseudorandom and deterministic patterns. First we formulate the test time minimization problem for such an architecture. Thereafter we present algorithms for finding an efficient combination of pseudorandom and deterministic test sets under given memory constraints, so that the system testing time can be shortened. We also analyze the significance of the pseudorandom sequence quality for the final results. The results are illustrated and the efficiency of the approach is demonstrated by experimental results.

关键词： Built-in self-test System testing Broadcasting Logic testing Electronic equipment testing Memory management Automatic testing Embedded computing Embedded system Laboratories

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Evaluating SPARQL Subqueries over P2P Overlay Networks

Evaluating SPARQL Subqueries over P2P Overlay Networks

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international workshop on Database and Expert Systems applications

作者： Liaquat Ali Georg Lausan University of Freiburg Germany Albert-Ludwigs-Universitat Freiburg Freiburg im Breisgau Baden-WÃ¼rttemberg DE

The introduction of subqueries is one of the most interesting features included in the latest SPARQL 1.1 specification. Existing distributed RDF storage and querying systems have not studied the evaluation of this newly included query feature. The evaluation of subqueries in distributed environment may be very inefficient and expensive in terms of query response time and bandwidth usage, particularly for the correlated subqueries where the inner query block is evaluated once for each solution of the outer query. In this paper, we study the problem of evaluating SPARQL subqueries over RDF data stored in 3nuts p2p network. We study semi join based optimization technique, and transformation algorithms to transform correlated queries to equivalent uncorrelated ones, that would make the distributed evaluation of such queries more efficient.

关键词： Resource description framework Peer to peer computing Databases optimization Syntactics Transforms

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A Generic Algorithmic Framework to Solve Special Versions of the Set Partitioning Problem

A Generic Algorithmic Framework to Solve Special Versions of...

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international Conference on Tools for Artificial Intelligence (ICTAI)

作者： Robin Lamarche-Perrin Yves Demazeau Jean-Marc Vincent Max - Planck-Institute for Mathematics in the Sciences Leipzig Germany CNRS Laboratoire d'lnformatique de Grenoble France Université Grenoble Alpes Laboratoire d'lnformatique de Grenoble France

ISBN: (纸本)9781479965731

Given a set of individuals, a collection of subsets, and a cost associated to each subset, the Set Partitioning Problem (SPP) consists in selecting some of these subsets to build a partition of the individuals that minimizes the total cost. This combinatorial optimization problem has been used to model dozens of problems arising in specific domains of Artificial Intelligence and Operational Research, such as coalition structures generation, community detection, multilevel data analysis, workload balancing, image processing, and database optimization. All these applications are actually interested in special versions of the SPP where assumptions regarding the admissible subsets constraint the search space and allow tractable optimization algorithms. However, there is a major lack of unity regarding the identification, the formalization, and the resolution of these strongly-related problems. This paper hence proposes a generic framework to design dynamic programming algorithms that fit with the particular algebraic structure of special versions of the SPP. We show how this framework can be applied to two well-known versions, thus opening a unified approach to solve new ones that might arise in the future.

关键词： Partitioning algorithms Heuristic algorithms Sociology Statistics optimization Dynamic programming Search problems

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Vertical fragmentation in distributed object database systems with complex attributes and methods

Vertical fragmentation in distributed object database system...

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international workshop on Database and Expert Systems applications

作者： L. Bellatreche A. Simonet M. Simonet Faculté de Médecine de Grenoble Laboratoire TIMC-IMAG La Tronche France

Object oriented database management systems are becoming popular and are being used in a large number of application domains, many of which are inherently distributed. Optimal application performance of a distributed object oriented database system requires class fragmentation and the development of allocation schemes to place fragments at distributed sites in order to minimize data transfer. Our approach is top down, and the entity of fragmentation is the class. Fragmentation algorithms have been proposed for the relational model, but the object model is relatively untouched. We present an algorithm for vertical fragmentation in a model consisting of complex attributes and complex methods. This type of fragmentation facilitates query decomposition, optimization, and parallel treatment for distributed object oriented database systems.

关键词： Database systems Object oriented databases Relational databases US Department of Defense Object oriented modeling Distributed databases Design methodology Environmental management Design optimization Spatial databases

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EM Sensitivity Analysis for a Four-Pole Waveguide Filter Based on Finite-Element Method

EM Sensitivity Analysis for a Four-Pole Waveguide Filter Bas...

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IEEE MTT-S international Microwave workshop Series on Advanced Materials and Processes for RF and THz applications (IMWS-AMP)

作者： Jianguo Xue Feng Feng Mutian Li Shaochang Liu Kaixue Ma Qi-Jun Zhang School of Microelectronics Tianjin University Tianjin China Department of Electronics Carleton University Ottawa ON Canada

ISBN: (数字)9798331520717

ISBN: (纸本)9798331520724

Electromagnetic (EM) sensitivity is crucial for EM optimization, making the rapid acquisition of sensitivity information essential for accelerating the optimization process. Traditional EM sensitivity analysis methods require repeatedly solving large equations, making the process very time-consuming. The efficiency of solving large linear systems can be significantly enhanced by applying various model order reduction (MOR) algorithms. This paper presents an advanced EM sensitivity analysis method to improve the efficiency of multi-frequency EM sensitivity analysis. This method can achieve fast frequency sweep of EM sensitivity analysis and is compatible with a variety of moment-matching MOR algorithms. A four-pole waveguide filter was selected as an example to conduct the sensitivity analysis using this method of sensitivity analysis.

关键词： Radio frequency Linear systems Sensitivity analysis Electromagnetic waveguides Filtering algorithms Microwave theory and techniques Mathematical models Microwave filters Electromagnetics optimization

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Large-Scale Multiantenna Multisine Wireless Power Transfer

Large-Scale Multiantenna Multisine Wireless Power Transfer

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作者： Huang, Yang Clerckx, Bruno Department of Electrical and Electronic Engineering Imperial College London LondonSW7 2AZ United Kingdom

Wireless Power Transfer (WPT) is expected to be a technology reshaping the landscape of low-power applications such as the Internet of Things. Multi-antenna multi-sine waveforms adaptive to the channel state information have been shown to be a promising building block of WPT. However, the current design is computationally too complex to be applied to large-scale WPT, where signals are sent across a large number (tens) of antennas and frequencies. This paper proposes efficient single/multi-user algorithms based on a generalizable optimization framework, in order to design transmit waveforms that maximize the weighted-sum/minimum rectenna output DC voltage. The study highlights the significant effect of the nonlinearity of the rectenna on the design of waveforms in single/multi-user systems. Interestingly, in the single-user case, the optimal spatial beamforming, obtained before optimizing power allocation across frequencies, turns out to be maximum ratio transmission. Nevertheless, in the general multi-user weighted-sum criterion maximization problem, optimizations in the frequency and the spatial domains are coupled. Assuming channel hardening, we also propose low-complexity algorithms based on asymptotic analysis, where the structure of the asymptotically optimal spatial beamforming can be found before optimizations. Simulation results confirm the inefficiency of the linear model-based design in single/multi-user systems. Moreover, simulation results show that the proposed algorithms (based on the nonlinear model) can benefit from an increasing number of sinewaves at a computational cost much lower than the existing method. Simulation results also indicate that the large-scale WPT architecture can boost the end-to-end power transfer efficiency and the transmission range. © 1991-2012 IEEE.

关键词： Convex optimization

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1st international Conference on Intelligent Computing in Control and Communication, ICCC 2020

1st International Conference on Intelligent Computing in Con...

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1st international Conference on Intelligent Computing in Control and Communication, ICCC 2020

ISBN: (纸本)9789811584381

The proceedings contain 53 papers. The special focus in this conference is on Intelligent Computing in Control and Communication. The topics include: A Comparative Study of Unit Commitment Problem by Dynamic Programming and Genetic Algorithm;Robust Fuzzy Logic Controller for DC Motor Stability Enhancement Under Load Disturbances;optimal Scheduling for Delay Management in Railway Network Using Hybrid Bat Algorithm;optimal Rescheduling of Real Power to Mitigate Congestion Using Elephant Herd optimization;preface;A Fuzzy-Based STATCOM Controller for Grid Interconnection of Fuel System to Improve Power Quality;adiabatic Logic-Based Area- and Energy-Efficient Full Adder Design;Comparative Analysis of Rapid Single Flux Quantum (RSFQ) Circuit Technique Multipliers;techno-Economic Material Demand-Based Model in Plastic Waste Management Using Metaheuristic algorithms;breaking Down and Reduplication of Information in Cloud for Best Overall Performance and Protection;A Novel Modulating PID Controller for a Speed Control of BLDC Motor Adopting Flower Pollination Algorithm;shaped Beams from Circular Aperture Antennas;A Simple and Low-Cost HIL Solution for Control of Power Electronic Converters;improved Harmonic Profile of multilevel Inverter Topology with Shifted Carrier Modulation Technique;artificial Intelligence Based Control Methods for Speed Control of Wind Turbine Energy System;recent Trends and Challenges in Blockchain Technology;Comparison of Uplink Spectral Efficiency in Massive MIMO Systems;a Study on Static Call Admission Control Policies for Wireless Mobile Cellular Networks;Design of Low PDP Ternary Circuits Utilizing Carbon Nanotube Field-Effect Transistors;Detection and Estimation of Multiple Point Targets for LFM Echo Using Compressed Sensing;Design of Dumbbell-Shaped MIMO Antenna for Wearable applications.

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Genetic algorithms for Voxel-based medical image registration

Genetic algorithms for Voxel-based medical image registratio...

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IEEE international workshop on Computational Intelligence In Medical Imaging (CIMI)

作者： Andrea Valsecchi Sergio Damas José Santamaría Linda Marrakchi-Kacem European Centre for Soft Computing Mieres Spain University of Jaén Jaen Spain Commissariat a l'energie atomique et aux energies alternatives Siege administratif Gif-sur-Yvette ÃŽle-de-France FR

Image registration (IR) - the task of aligning different images having a common content - is a fundamental problem in computer vision. In particular, IR is one of the key steps in medical imaging, with applications ranging from computer assisted diagnosis to computer aided therapy and surgery. As IR can be formulated as an optimization problem, a large family of metaheuristics methods can be used to improve the results obtained by classic gradient-based, continuous optimization techniques. In this work, we extend our previous intensity-based image registration (IR) technique based on a real-coded genetic algorithm with a more appropriate design. The performance evaluation of an heterogeneous group of state-of-the-art IR techniques is also extended to two experimental studies on both synthetic and real-word medical IR problems. The results prove the accuracy and applicability of our new method.

关键词： Algorithm design and analysis Image resolution Biomedical imaging Measurement Genetic algorithms Magnetic resonance imaging optimization

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