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Collective Decision Making in a Swarm of Robots: How Robust the BEECLUST Algorithm Performs in Various Conditions

Collective Decision Making in a Swarm of Robots: How Robust the BEECLUST Algorithm Performs in Various Conditions

... BEECLUST algorithm are still able to react on environmental ...BEECLUST algorithm is derived from the behaviour of young honeybees, experimenting with a temperature gradi- ent gets us closer to the ...

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Prediction of Stock Market using Machine Learning Algorithms

Prediction of Stock Market using Machine Learning Algorithms

... ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - In modern financial market, the most crucial problem is to find ...

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Comparative Analysis of Non-Frequent Pattern Mining Approach

Comparative Analysis of Non-Frequent Pattern Mining Approach

... FP-Growth algorithm finding the infrequent items from the given set of frequent items ...The algorithm performs the mining process in two steps: first by calculating the infrequent items by pruning ...

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Heuristic Approach for Potential Node Forwarders to Achieve QOS in WSN

Heuristic Approach for Potential Node Forwarders to Achieve QOS in WSN

... greedy algorithm performs with relay nodes for better transmission for the maximum number of hops ...greedy algorithm provides reducing the energy efficient path for data transmission and maximizes ...

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A Space-Frequency Anti-Jamming Algorithm Based on Sub-Band Energy Detection

A Space-Frequency Anti-Jamming Algorithm Based on Sub-Band Energy Detection

... anti-jamming algorithm based on sub-band energy detection (SF-SED) is ...the algorithm performs fast Fourier transform (FFT) on the received data of the array antenna and obtains multi-snapshot data ...

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A New Algorithm for Voice Activity Detection Based on Wavelet Packets (RESEARCH NOTE)

A New Algorithm for Voice Activity Detection Based on Wavelet Packets (RESEARCH NOTE)

... robust algorithm based on higher order statistics (HOS) in the residual domain of the linear prediction coding coefficients (LPC) and the International Telecommunication Union-Telecommunications Sector (ITU-T) ...

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Track-before-detect procedures for detection of extended object

Track-before-detect procedures for detection of extended object

... proposed algorithm performs joint estimation of the target presence/ absence, trajectory and shape parameters under unknown nuisance parameters (target power and noise ...proposed algorithm has good ...

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A Group based Time Quantum Round Robin Algorithm using Min Max Spread Measure

A Group based Time Quantum Round Robin Algorithm using Min Max Spread Measure

... scheduling algorithm and preemption among ...RR algorithm performs better than existing RR algorithm with respect to Average Turn Around Time (ATAT), Average Waiting Time (AWT) and ...

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Global Journal of Advanced Engineering Technologies and Sciences PERFORMANCE ANALYSIS OF GENETIC OPERATORS ON TEST FUNCTIONS OF SINGLE OBJECTIVE OPTIMIZATION PROBLEMS Deepika Pathak 1, Dr. Sharad Gangele2

Global Journal of Advanced Engineering Technologies and Sciences PERFORMANCE ANALYSIS OF GENETIC OPERATORS ON TEST FUNCTIONS OF SINGLE OBJECTIVE OPTIMIZATION PROBLEMS Deepika Pathak 1, Dr. Sharad Gangele2

... Genetic Algorithm performs well when compared with Standard Genetic Algorithm in terms of producing the good chromosomes with best fitness value in less ...

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A Comparative Study of Biology-inspired and Game Theoretical Optimization Algorithms on Power Utilization Efficiency in Cognitive Radio Environment

A Comparative Study of Biology-inspired and Game Theoretical Optimization Algorithms on Power Utilization Efficiency in Cognitive Radio Environment

... utilization algorithm than ...optimization algorithm, performs better on power spectral resource allocation in CRE than LBA, which is a game- theoretical optimization ...optimization algorithm ...

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Design And Analysis Of Low Power Dual Binary Ml Map Decoder Using Vlsi Technology

Design And Analysis Of Low Power Dual Binary Ml Map Decoder Using Vlsi Technology

... ML-MAP algorithm can be used for reduced complexity decoder implementation ...MAP algorithm performs calculations of the forward and backward state metric values to obtain the log likelihood ratio ...

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Bayesian kernel projections for classification of high dimensional data

Bayesian kernel projections for classification of high dimensional data

... Abstract A Bayesian multi-category kernel classifica- tion method is proposed. The algorithm performs the classification of the projections of the data to the prin- cipal axes of the feature space. The ...

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Task Scheduling of a Distributed Computing Software in the Presence of Faults

Task Scheduling of a Distributed Computing Software in the Presence of Faults

... also performs well in the presence of communication fault delay or computation fault de- ...EZ algorithm gives best result and LC algorithm as the worst ...EZ algorithm gives non linear ...

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UNDERSTANDING THE IMPACT OF WEB LAYOUT AND EMOTIONAL CHANGES TOWARDS NAVIGATION 
BEHAVIOUR AMONG VISUALLY IMPAIRED USERS

UNDERSTANDING THE IMPACT OF WEB LAYOUT AND EMOTIONAL CHANGES TOWARDS NAVIGATION BEHAVIOUR AMONG VISUALLY IMPAIRED USERS

... Smith et al. [10] suggested a method for the classification of thin ceramic fragments depending on the features of color and texture on the basis of total different geometry (TVG) energies of the image. The features are ...

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Coset enumeration of groups generated by symmetric sets
of involutions

Coset enumeration of groups generated by symmetric sets of involutions

... Todd-Coxeter algorithm [14], which may be viewed as a means of con- structing permutation representations of finitely presented groups, remains a primary reference for coset enumeration ...original ...

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Integration of PSO and K-means clustering algorithm for structural-based alert correlation model

Integration of PSO and K-means clustering algorithm for structural-based alert correlation model

... V. I NTEGRATED PSO A ND K-M EANS A LGORITHMS The motivation to integrate these algorithms is to take advantage of their strengths and to overcome their drawbacks. The K-Means algorithm has the advantages of being ...

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Interference Nulling via a
Resistor Weighted Op Amp
Vector Modulator

Interference Nulling via a Resistor Weighted Op Amp Vector Modulator

... In Figure 6.1, a four-element linear array feeds the front-end, which ac- commodates four signal paths. Each path consists of a low-noise transcon- ductance amplifier (LNTA), providing 50 Ω input impedance and V → I ...

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Using Anaphora Resolution to Improve Opinion Target Identification in Movie Reviews

Using Anaphora Resolution to Improve Opinion Target Identification in Movie Reviews

... resolution algorithm can improve the performance of a baseline opinion mining ...lution algorithm significantly improves the opinion target ...off-the-shelf algorithm which in turn yield significant ...

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Association Rule Mining using Improved Apriori Algorithm

Association Rule Mining using Improved Apriori Algorithm

... Apriori algorithm is mainly caused by the space predicates. GP-Apriori algorithm: Zhang et ...GP-Apriori Algorithm in[9]. GP-Apriori performs a parallelized version of the support counting ...

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Pattern Alternating Maximization Algorithm for Missing Data in High-Dimensional Problems

Pattern Alternating Maximization Algorithm for Missing Data in High-Dimensional Problems

... our algorithm iteratively cycles through the different missingness patterns, performs multivariate regressions of the missing on the observed variables and uses the regression coefficients for partial ...

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