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1. A block Karhunen–Loève Transform based efficient lossy compression algorithm for optical remote sensing imagery

Author:
Kumar, Satish; Dhadwal, Vipin
Source:
Geocarto international 2017 v.32 no.10 pp. 1159-1170
ISSN:
1752-0762
Subject:
algorithms,   etc   ; remote sensing; wavelet;     Show all 3 Subjects
Abstract:
... In present study, a block Karhunen–Loève Transform (KLT) based efficient lossy compression algorithm for optical remote sensing imagery is proposed. A Discrete Wavelet Transform (DWT) is performed on each band of the imagery to remove the spatial correlation. Each band of the imagery is decomposed into non-overlapping blocks of similar size and the transform coefficients of each block in the wavel ...
DOI:
10.1080/10106049.2016.1195887

2. Spectral simulation of vector random fields with stationary Gaussian increments in d-dimensional Euclidean spaces

Author:
Arroyo, Daisy; Emery, Xavier
Source:
Stochastic environmental research and risk assessment 2017 v.31 no.7 pp. 1583-1592
ISSN:
1436-3240
Subject:
algorithms,   etc   ; geometry; models;     Show all 3 Subjects
Abstract:
... This paper addresses the problem of simulating multivariate random fields with stationary Gaussian increments in a d-dimensional Euclidean space. To this end, one considers a spectral turning-bands algorithm, in which the simulated field is a mixture of basic random fields made of weighted cosine waves associated with random frequencies and random phases. The weights depend on the spectral density ...
DOI:
10.1007/s00477-016-1225-7

3. Modeling spreading of oil slicks based on random walk methods and Voronoi diagrams

Author:
Durgut, İsmail; Reed, Mark
Source:
Marine Pollution Bulletin 2017 v.118 pp. 93-100
ISSN:
0025-326X
Subject:
algorithms,   etc   ; models; oils;     Show all 3 Subjects
Abstract:
... We introduce a methodology for representation of a surface oil slick using a Voronoi diagram updated at each time step. The Voronoi cells scale the Gaussian random walk procedure representing the spreading process by individual particle stepping. The step length of stochastically moving particles is based on a theoretical model of the spreading process, establishing a relationship between the step ...
DOI:
10.1016/j.marpolbul.2017.02.038

4. Two-way correspondence between carbon nanotubes and caps: Development of a numerical algorithm and a tool for organic cap synthesis

Author:
Sugai, Toshiki; Sakurai, Hidehiro
Source:
Carbon 2017 v.116 pp. 678-685
ISSN:
0008-6223
Subject:
algorithms,   etc   ; carbon; carbon nanotubes;     Show all 3 Subjects
Abstract:
... A hemispherical or conical carbon aromatic molecule so-called “cap” is considered as a tip of carbon nanotubes (CNTs) that dictates entire CNT structures throughout their production. To design a cap for producing a given CNT, we need to know the correspondence between synthesizable caps and CNTs formed from them, and conversely, the correspondence between target CNTs and possible caps for their fo ...
DOI:
10.1016/j.carbon.2017.02.038

5. Experimental study of Forrelation in nuclear spins

Author:
Li, Hang; Gao, Xun; Xin, Tao; Yung, Man-Hong; Long, Guilu
Source:
Science bulletin 2017 v.62 pp. 497-502
ISSN:
2095-9273
Subject:
algorithms,   etc   ; data collection; grapes;     Show all 3 Subjects
Abstract:
... Correlation functions are often employed to quantify the relationships among interdependent variables or sets of data. Recently, a new class of correlation functions, called Forrelation, has been introduced by Aaronson and Ambainis for studying the query complexity of quantum devices. It was found that there exists a quantum query algorithm solving 2-fold Forrelation problems with an exponential q ...
DOI:
10.1016/j.scib.2017.03.006

6. A model-based adaptive state of charge estimator for a lithium-ion battery using an improved adaptive particle filter

Author:
Ye, Min; Guo, Hui; Cao, Binggang
Source:
Applied energy 2017 v.190 pp. 740-748
ISSN:
0306-2619
Subject:
algorithms,   etc   ; batteries; models; polymers;     Show all 4 Subjects
Abstract:
... Obtaining accurate parameters, state of charge (SoC) and capacity of a lithium-ion battery is crucial for a battery management system, and establishing a battery model online is complex. In addition, the errors and perturbations of the battery model dramatically increase throughout the battery lifetime, making it more challenging to model the battery online. To overcome these difficulties, this pa ...
DOI:
10.1016/j.apenergy.2016.12.133

7. A method for assessing generalized data accuracy with linear object resolution verification

Author:
Chrobak, Tadeusz; Szombara, Stanisław; Kozoł, Krystian; Lupa, Michal
Source:
Geocarto international 2017 v.32 no.3 pp. 238-256
ISSN:
1752-0762
Subject:
algorithms,   etc   ; models; quantitative analysis;     Show all 3 Subjects
Abstract:
... The article is composed of two sections. In the first section, the authors describe the application of minimum line dimensions which are dependent on line shape, width and the operational scale of the map. The proposed solutions are based on the Euclidean metric space, for which the minimum dimensions of Saliszczew’s elementary triangle (Elementary triangle – is the term pertaining to model, stand ...
DOI:
10.1080/10106049.2015.1133721

8. An improved lossless group compression algorithm for seismic data in SEG-Y and MiniSEED file formats

Author:
Li, Huailiang; Tuo, Xianguo; Shen, Tong; Henderson, Mark Julian; Courtois, Jérémie; Yan, Minhao
Source:
Computers and Geosciences 2017 v.100 pp. 41-45
ISSN:
0098-3004
Subject:
algorithms,   etc   ; earthquakes; geophysics; monitoring;     Show all 4 Subjects
Abstract:
... An improved lossless group compression algorithm is proposed for decreasing the size of SEG-Y files to relieve the enormous burden associated with the transmission and storage of large amounts of seismic exploration data. Because each data point is represented by 4 bytes in SEG-Y files, the file is broken down into 4 subgroups, and the Gini coefficient is employed to analyze the distribution of th ...
DOI:
10.1016/j.cageo.2016.11.017

9. Identifying P phase arrival of weak events: The Akaike Information Criterion picking application based on the Empirical Mode Decomposition

Author:
Li, Xibing; Shang, Xueyi; Morales-Esteban, A.; Wang, Zewei
Source:
Computers and Geosciences 2017 v.100 pp. 57-66
ISSN:
0098-3004
Subject:
algorithms,   etc   ; geophysics; wavelet; China;     Show all 4 Subjects
Abstract:
... Seismic P phase arrival picking of weak events is a difficult problem in seismology. The algorithm proposed in this research is based on Empirical Mode Decomposition (EMD) and on the Akaike Information Criterion (AIC) picker. It has been called the EMD-AIC picker. The EMD is a self-adaptive signal decomposition method that not only improves Signal to Noise Ratio (SNR) but also retains P phase arri ...
DOI:
10.1016/j.cageo.2016.12.005

10. Multiple objects detection in biological images using a marked point process framework

Author:
Descombes, Xavier
Source:
Methods 2017 v.115 pp. 2-8
ISSN:
1046-2023
Subject:
algorithms,   etc   ; image analysis; models;     Show all 3 Subjects
Abstract:
... The marked point process framework has been successfully developed in the field of image analysis to detect a configuration of predefined objects. The goal of this paper is to show how it can be particularly applied to biological imagery. We present a simple model that shows how some of the challenges specific to biological data are well addressed by the methodology. We further describe an extensi ...
DOI:
10.1016/j.ymeth.2016.09.009

11. Multi-objective optimization of Stirling engine systems using Front-based Yin-Yang-Pair Optimization

Author:
Punnathanam, Varun; Kotecha, Prakash
Source:
Energy conversion and management 2017 v.133 pp. 332-348
ISSN:
0196-8904
Subject:
algorithms,   etc   ; entropy; models;     Show all 3 Subjects
Abstract:
... In this work, we demonstrate the performance of Front-based Yin-Yang-Pair Optimization (F-YYPO) to solve multi-objective problems related to Stirling engine systems. The performance of F-YYPO is compared with that of (i) a recently proposed multi-objective optimization algorithm (Multi-Objective Grey Wolf Optimizer) and (ii) an algorithm popularly employed in literature due to its easy accessibili ...
DOI:
10.1016/j.enconman.2016.10.035

12. Genetic algorithm for optimization of energy systems: Solution uniqueness, accuracy, Pareto convergence and dimension reduction

Author:
Ganjehkaviri, A.; Mohd Jaafar, M.N.; Hosseini, S.E.; Barzegaravval, H.
Source:
Energy 2017 v.119 pp. 167-177
ISSN:
0360-5442
Subject:
algorithms,   etc   ; energy; system optimization;     Show all 3 Subjects
Abstract:
... Genetic algorithm (GA) is widely accepted in energy systems optimization especially multi objective method. In multi objective method, a set of solutions called Pareto front is obtained. Due to random nature of GA, finding a unique and reproducible result is not an easy task for multi objective problems. Here we discuss the solution uniqueness, accuracy, Pareto convergence, dimension reduction top ...
DOI:
10.1016/j.energy.2016.12.034

13. A Straightforward Random Walk Model for Fast Push‐Pull Tracer Test Evaluation

Author:
Klotzsch, Stephan; Binder, Martin; Händel, Falk
Source:
Ground water 2017 v.55 no.1 pp. 129-135
ISSN:
0017-467X
Subject:
algorithms,   etc   ; models; tracer techniques;     Show all 3 Subjects
Abstract:
... In this article, we present a straightforward random walk model for fast evaluation of push‐pull tracer tests. By developing an adaptive algorithm, we overcome the problem of manually defining how many particles have to be used to simulate the transport problem. Beside this, we validate the random walk model by evaluating a push‐pull tracer test with drift phase and confirm the results with MT3DMS ...
DOI:
10.1111/gwat.12438

14. A density-based clustering algorithm for earthquake zoning

Author:
Scitovski, Sanja
Source:
Computers and Geosciences 2017
ISSN:
0098-3004
Subject:
algorithms,   etc   ; earthquakes; zoning; Croatia;     Show all 4 Subjects
Abstract:
... A possibility of applying the density-based clustering algorithm Rough-DBSCAN for earthquake zoning is considered in the paper. By using density-based clustering for earthquake zoning it is possible to recognize nonconvex shapes, what gives much more realistic results. Special attention is thereby paid to the problem of determining the corresponding value of the parameter ɛ in the algorithm. The s ...
DOI:
10.1016/j.cageo.2017.08.014

15. A novel scene-based non-uniformity correction method for SWIR push-broom hyperspectral sensors

Author:
Hu, Bin-Lin; Hao, Shi-Jing; Sun, De-Xin; Liu, Yin-Nian
Source:
ISPRS Journal of Photogrammetry and Remote Sensing 2017
ISSN:
0924-2716
Subject:
algorithms,   etc   ; reflectance; roughness;     Show all 3 Subjects
Abstract:
... A novel scene-based non-uniformity correction (NUC) method for short-wavelength infrared (SWIR) push-broom hyperspectral sensors is proposed and evaluated. This method relies on the assumption that for each band there will be ground objects with similar reflectance to form uniform regions when a sufficient number of scanning lines are acquired. The uniform regions are extracted automatically throu ...
DOI:
10.1016/j.isprsjprs.2017.08.004

16. Estimating the solute transport parameters of the spatial fractional advection-dispersion equation using Bees Algorithm

Author:
Mehdinejadiani, Behrouz
Source:
Journal of contaminant hydrology 2017
ISSN:
0169-7722
Subject:
algorithms,   etc   ; equations; soil; solutes;     Show all 4 Subjects
Abstract:
... This study represents the first attempt to estimate the solute transport parameters of the spatial fractional advection-dispersion equation using Bees Algorithm. The numerical studies as well as the experimental studies were performed to certify the integrity of Bees Algorithm. The experimental ones were conducted in a sandbox for homogeneous and heterogeneous soils. A detailed comparative study w ...
DOI:
10.1016/j.jconhyd.2017.06.004

17. Rapid earthquake detection through GPU-Based template matching

Author:
Mu, Dawei; Lee, En-Jui; Chen, Po
Source:
Computers and Geosciences 2017
ISSN:
0098-3004
Subject:
algorithms,   etc   ; earthquakes; geophysics; Taiwan;     Show all 4 Subjects
Abstract:
... The template-matching algorithm (TMA) has been widely adopted for improving the reliability of earthquake detection. The TMA is based on calculating the normalized cross-correlation coefficient (NCC) between a collection of selected template waveforms and the continuous waveform recordings of seismic instruments. In realistic applications, the computational cost of the TMA is much higher than that ...
DOI:
10.1016/j.cageo.2017.09.009

18. Segmentation of a panel of consumers with missing data

Author:
Vigneau, Evelyne
Source:
Food quality and preference 2017
ISSN:
0950-3293
Subject:
algorithms,   etc   ; data collection; models;     Show all 3 Subjects
Abstract:
... The Clustering around Latent Variables (CLV) method may be used to identify segments of consumers in sensory liking studies. To date, this method has been unable to deal with missing data. Thus, consumers with missing data had to be discarded or a data imputation technique had to be applied beforehand. The CLV algorithms have recently been updated in order to perform clustering and local imputatio ...
DOI:
10.1016/j.foodqual.2017.04.010

19. A method for the allocation of sequencing resources in genotyped livestock populations

Author:
Gonen, Serap; Ros-Freixedes, Roger; Battagin, Mara; Gorjanc, Gregor; Hickey, JohnM.
Source:
Genetics selection evolution 2017 v.49 no.1 pp. 1-47
ISSN:
1297-9686
Subject:
algorithms,   etc   ; genotyping; haplotypes; livestock; pedigree;     Show all 5 Subjects
Abstract:
... BACKGROUND: This paper describes a method, called AlphaSeqOpt, for the allocation of sequencing resources in livestock populations with existing phased genomic data to maximise the ability to phase and impute sequenced haplotypes into the whole population. METHODS: We present two algorithms. The first selects focal individuals that collectively represent the maximum possible portion of the haploty ...

20. Back-feed power restoration using distributed constraint optimization in smart distribution grids clustered into microgrids

Author:
El-Sharafy, M. Zaki; Farag, Hany E.Z.
Source:
Applied energy 2017 v.206 pp. 1102-1117
ISSN:
0306-2619
Subject:
algorithms,   etc   ; case studies; system optimization;     Show all 3 Subjects
Abstract:
... In this paper, an optimization problem is formulated for the automatic back-feed service restoration in smart distribution grids. The formulated problem relies on the structure of smart distribution grids, clustered into multi-microgrids, capable of operating in both grid-connected and islanded modes of operation. To that end, three types of power transfer between the neighboring microgrids, durin ...
DOI:
10.1016/j.apenergy.2017.08.106