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1. A Refinement of the McMillen (1988) Recursive Digital Filter for the Analysis of Atmospheric Turbulence

Author:
Falocchi, Marco; Giovannini, Lorenzo; Franceschi, Massimiliano de; Zardi, Dino
Source:
Boundary-layer meteorology 2018 v.168 no.3 pp. 517-523
ISSN:
0006-8314
Subject:
algorithms,   etc   ; landscapes; turbulent flow;     Show all 3 Subjects
Abstract:
... We present a refinement of the recursive digital filter proposed by McMillen (Boundary-Layer Meteorol 43:231–245, 1988), for separating surface-layer turbulence from low-frequency fluctuations affecting the mean flow, especially over complex terrain. In fact, a straightforward application of the filter causes both an amplitude attenuation and a forward phase shift in the filtered signal. As a cons ...
DOI:
10.1007/s10546-018-0355-5

2. Novel optical efficiency formulas for parabolic trough solar collectors: Computing method and applications

Author:
Cheng, Ze-Dong; Zhao, Xue-Ru; He, Ya-Ling
Source:
Applied energy 2018 v.224 pp. 682-697
ISSN:
0306-2619
Subject:
algorithms,   etc   ; Geographical Locations; models;     Show all 3 Subjects
Abstract:
... This paper presents a novel computing method of optical efficiency fitting formulas and its applications for parabolic trough solar collectors, by combining the Monte Carlo ray-tracing methodology with the population-based particle swarm optimization algorithm. The expressions of the optical efficiency fitting formulas are deduced by means of analyzing the Monte Carlo ray-tracing data samples with ...
DOI:
10.1016/j.apenergy.2018.05.033

3. Elucidation of chromatographic peak shifts in complex samples using a chemometrical approach

Author:
Sousa, Pedro F. M.; de Waard, Angela; Åberg, K. Magnus
Source:
Analytical and bioanalytical chemistry 2018 v.410 no.21 pp. 5229-5235
ISSN:
1618-2642
Subject:
algorithms,   etc   ; chromatography; pH; temperature;     Show all 4 Subjects
Abstract:
... Chromatographic retention time peak shifts between consecutive analyses is a well-known fact yet not fully understood. Algorithms have been developed to align peaks between runs, but with no specific studies considering the causes of peak shifts. Here, designed experiments reveal chromatographic shift patterns for a complex peptide mixture that are attributable to the temperature and pH of the mob ...
DOI:
10.1007/s00216-018-1173-9

4. Toward Fast Dynamic Optimization: An Indirect Algorithm That Uses Parsimonious Input Parameterization

Author:
Aydin, Erdal; Bonvin, Dominique; Sundmacher, Kai
Source:
Industrial & engineering chemistry process design and development 2018 v.57 no.30 pp. 10038-10048
ISSN:
1520-5045
Subject:
algorithms,   etc   ; distillation; process design;     Show all 3 Subjects
Abstract:
... Dynamic optimization plays an important role toward improving the operation of chemical systems, such as batch and semibatch processes. The preferred strategy to solve constrained nonlinear dynamic optimization problems is to use a so-called direct approach. Nevertheless, based on the problem at hand and the solution algorithm used, direct approaches may lead to large computational times. Indirect ...
DOI:
10.1021/acs.iecr.8b02109

5. Trade-off on fuel economy, knock, and combustion stability for a stratified flame-ignited gasoline engine

Author:
Song, Kang; Wang, Xinyan; Xie, Hui
Source:
Applied energy 2018 v.220 pp. 437-446
ISSN:
0306-2619
Subject:
algorithms,   etc   ; combustion; cylinders; fuels;     Show all 4 Subjects
Abstract:
... A combination of port fuel injection (PFI) and direct injection (DI), called P-DI strategy, was used in a four-cylinder gasoline engine. The aim was to achieve a stratified flame ignition (SFI) hybrid combustion and manage the trade-off among fuel economy, knock, and combustion stability (EKS) in a gasoline engine. In the proposed P-DI strategy, DI was used to enrich the local mixture around the s ...
DOI:
10.1016/j.apenergy.2018.03.011

6. Technology-free microgrid modeling with application to demand side management

Author:
Gonzalez de Durana, Jose; Barambones, Oscar
Source:
Applied energy 2018 v.219 pp. 165-178
ISSN:
0306-2619
Subject:
algorithms,   etc   ; equipment; models;     Show all 3 Subjects
Abstract:
... When trying to model a microgrid, with renewable distributed generation, previous models of generators, loads, electrical networks, and further equipment are necessary, in order to build it.In this paper the authors attempt to put everything in a model in a technology-free way and using a reduced number of data, regardless of the accuracy in representation of loads and generators, only to get a ro ...
DOI:
10.1016/j.apenergy.2018.03.024

7. A cooperative control for the reserve management of isolated microgrids

Author:
Cagnano, A.; Caldarulo Bugliari, A.; De Tuglie, E.
Source:
Applied energy 2018 v.218 pp. 256-265
ISSN:
0306-2619
Subject:
algorithms,   etc   ; spinning; system optimization;     Show all 3 Subjects
Abstract:
... The purpose of this paper is to examine how a coordinated control strategy for managing the active power reserve in isolated microgrids is presented. This methodology can be applied in those microgrids where a specified generator assumes the role of the isochronous generator for the overall system. The derived algorithm evaluates control actions in the on-line environment by solving a constrained ...
DOI:
10.1016/j.apenergy.2018.02.142

8. On defining a unique phylogenetic tree with homoplastic characters

Author:
Goloboff, Pablo A.; Wilkinson, Mark
Source:
Molecular phylogenetics and evolution 2018 v.122 pp. 95-101
ISSN:
1055-7903
Subject:
algorithms,   etc   ; phylogeny; statistical analysis;     Show all 3 Subjects
Abstract:
... This paper discusses the problem of whether creating a matrix with all the character state combinations that have a fixed number of steps (or extra steps) on a given tree T, produces the same tree T when analyzed with maximum parsimony or maximum likelihood. Exhaustive enumeration of cases up to 20 taxa for binary characters, and up to 12 taxa for 4-state characters, shows that the same tree is re ...
DOI:
10.1016/j.ympev.2018.01.020

9. Sample selection via angular distance in the space of the arguments of an artificial neural network

Author:
Fernández Jaramillo, J.M.; Mayerle, R.
Source:
Computers & geosciences 2018 v.114 pp. 98-106
ISSN:
0098-3004
Subject:
algorithms,   etc   ; computers; neural networks;     Show all 3 Subjects
Abstract:
... In the construction of an artificial neural network (ANN) a proper data splitting of the available samples plays a major role in the training process. This selection of subsets for training, testing and validation affects the generalization ability of the neural network. Also the number of samples has an impact in the time required for the design of the ANN and the training. This paper introduces ...
DOI:
10.1016/j.cageo.2018.02.003

10. Efficient multi-objective optimization algorithm for hybrid flow shop scheduling problems with setup energy consumptions

Author:
Li, Jun-qing; Sang, Hong-yan; Han, Yu-yan; Wang, Cun-gang; Gao, Kai-zhou
Source:
Journal of cleaner production 2018 v.181 pp. 584-598
ISSN:
0959-6526
Subject:
algorithms,   etc   ; energy; equipment;     Show all 3 Subjects
Abstract:
... This paper proposes an energy-aware multi-objective optimization algorithm (EA-MOA) for solving the hybrid flow shop (HFS) scheduling problem with consideration of the setup energy consumptions. Two objectives, namely, the minimization of the makespan and the energy consumptions, are considered simultaneously. In the proposed algorithm, first, each solution is represented by two vectors: the machi ...
DOI:
10.1016/j.jclepro.2018.02.004

11. An adaptive spatially constrained fuzzy c-means algorithm for multispectral remotely sensed imagery clustering

Author:
Zhang, Hua; Shi, Wenzhong; Hao, Ming; Li, Zhenxuan; Wang, Yunjia
Source:
International journal of remote sensing 2018 v.39 no.8 pp. 2207-2237
ISSN:
1366-5901
Subject:
algorithms,   etc   ; probability; remote sensing;     Show all 3 Subjects
Abstract:
... This paper presents a novel adaptive spatially constrained fuzzy c-means (ASCFCM) algorithm for multispectral remotely sensed imagery clustering by incorporating accurate local spatial and grey-level information. In this algorithm, a novel weighted factor is introduced considering spatial distance and membership differences between the centred pixel and its neighbours simultaneously. This factor c ...
DOI:
10.1080/01431161.2017.1420934

12. A Modified Method for Generation of Communication Sets

Author:
Bhardwaj, Rupali; Upadhyay, Anil
Source:
National Academy science letters 2018 v.41 no.2 pp. 111-115
ISSN:
0250-541X
Subject:
algorithms,   etc   ; mathematical models; topology;     Show all 3 Subjects
Abstract:
... A network topology for minimization of communication links, communication cost is proposed in this paper. After scheming of topology, communication sets are generated using quorum matrices whenever (1) [Formula: see text] is a prime number (2) [Formula: see text] is power of a prime number (3) [Formula: see text] is not power of a prime number. If [Formula: see text] is power of a prime number or ...
DOI:
10.1007/s40009-018-0615-4

13. On a continuous spectral algorithm for simulating non-stationary Gaussian random fields

Author:
Emery, Xavier; Arroyo, Daisy
Source:
Stochastic environmental research and risk assessment 2018 v.32 no.4 pp. 905-919
ISSN:
1436-3240
Subject:
algorithms,   etc   ; covariance; models;     Show all 3 Subjects
Abstract:
... This paper presents an algorithm for simulating Gaussian random fields with zero mean and non-stationary covariance functions. The simulated field is obtained as a weighted sum of cosine waves with random frequencies and random phases, with weights that depend on the location-specific spectral density associated with the target non-stationary covariance. The applicability and accuracy of the algor ...
DOI:
10.1007/s00477-017-1402-3

14. Algorithm based on particle swarm applied to electrical load scheduling in an industrial setting

Author:
Lopes, Rafael F.; Costa, Fabiano F.; Oliveira, Aurenice; de C. Lima, Antonio Cezar
Source:
Energy 2018 v.147 pp. 1007-1015
ISSN:
0360-5442
Subject:
algorithms,   etc   ; energy; mathematical models;     Show all 3 Subjects
Abstract:
... In this work we propose the development of a novel particle swarm-based heuristic to solve a discrete mathematical problem. Such a problem is present in allocating electrical loads throughout the day in an industrial setting. Data on the total installed load and energy demand throughout the day at 15-min intervals were collected in five industrial facilities. The loads were randomly distributed an ...
DOI:
10.1016/j.energy.2018.01.090

15. Capacitive energy storage with optimized controller for frequency regulation in realistic multisource deregulated power system

Author:
Dhundhara, Sandeep; Verma, Yajvender Pal
Source:
Energy 2018 v.147 pp. 1108-1128
ISSN:
0360-5442
Subject:
algorithms,   etc   ; electricity; energy; markets;     Show all 4 Subjects
Abstract:
... Energy storage systems have great potential in maintaining the power balance and sustaining the grid frequency during sudden disturbances to support the automatic generation control in a power system. Hence, the role of a capacitive energy storage unit as an energy storage device and a thyristor-controlled phase shifter in the automatic generation control of a two-area interconnected power system ...
DOI:
10.1016/j.energy.2018.01.076

16. Detection of trends in magnitude and frequency of flood peaks across Europe

Author:
Mangini, Walter; Viglione, Alberto; Hall, Julia; Hundecha, Yeshewatesfa; Ceola, Serena; Montanari, Alberto; Rogger, Magdalena; Salinas, José Luis; Borzì, Iolanda; Parajka, Juraj
Source:
Hydrological sciences journal 2018 v.63 no.4 pp. 493-512
ISSN:
2150-3435
Subject:
algorithms,   etc   ; floods; watersheds; Europe;     Show all 4 Subjects
Abstract:
... This study analyses the differences in significant trends in magnitude and frequency of floods detected in annual maximum flood (AMF) and peak over threshold (POT) flood peak series, for the period 1965–2005. Flood peaks are identified from European daily discharge data using a baseflow-based algorithm and significant trends in the AMF series are compared with those in the POT series, derived for ...
DOI:
10.1080/02626667.2018.1444766

17. Image segmentation of overlapping leaves based on Chan–Vese model and Sobel operator

Author:
Wang, Zhibin; Wang, Kaiyi; Yang, Feng; Pan, Shouhui; Han, Yanyun
Source:
Information processing in agriculture 2018 v.5 pp. 1-10
ISSN:
2214-3173
Subject:
algorithms,   etc   ; cucumbers; leaves; models;     Show all 4 Subjects
Abstract:
... To improve the segmentation precision of overlapping crop leaves, this paper presents an effective image segmentation method based on the Chan–Vese model and Sobel operator. The approach consists of three stages. First, a feature that identifies hues with relatively high levels of green is used to extract the region of leaves and remove the background. Second, the Chan–Vese model and improved Sobe ...
DOI:
10.1016/j.inpa.2017.09.005

18. Multi-Objective Simulation-Optimization Model for Long-term Reservoir Operation using Piecewise Linear Hedging Rule

Author:
Srinivasan, K.; Kumar, Kranthi
Source:
Water resources management 2018 v.32 no.5 pp. 1901-1911
ISSN:
0920-4741
Subject:
algorithms,   etc   ; models; water supply;     Show all 3 Subjects
Abstract:
... An efficiently parameterized and appropriately structured piecewise linear hedging rule is formulated and included within a multi-objective simulation-optimization (S-O) framework that seeks to obtain Pareto-optimal solutions for the long-term hedged operation of a single water supply reservoir. Two conflicting objectives, namely, “minimize the total shortage ratio” and “minimize the maximum short ...
DOI:
10.1007/s11269-018-1911-y

19. New type side weir discharge coefficient simulation using three novel hybrid adaptive neuro-fuzzy inference systems

Author:
Bonakdari, Hossein; Zaji, AmirHossein
Source:
Applied water science 2018 v.8 no.1 pp. 10-10
ISSN:
2190-5487
Subject:
algorithms,   etc   ; models; prediction; weirs;     Show all 4 Subjects
Abstract:
... In many hydraulic structures, side weirs have a critical role. Accurately predicting the discharge coefficient is one of the most important stages in the side weir design process. In the present paper, a new high efficient side weir is investigated. To simulate the discharge coefficient of these side weirs, three novel soft computing methods are used. The process includes modeling the discharge co ...
DOI:
10.1007/s13201-018-0669-y

20. A Bilevel Optimization Approach to Coordination of Distributed Model Predictive Control Systems

Author:
Hassanzadeh, Bardia; Liu, Jinfeng; Forbes, J. Fraser
Source:
Industrial & engineering chemistry process design and development 2018 v.57 no.5 pp. 1516-1530
ISSN:
1520-5045
Subject:
algorithms,   etc   ; controllers; process design;     Show all 3 Subjects
Abstract:
... A novel algorithm is proposed to coordinate distributed model predictive control (DMPC) systems. The main goal of coordinated distributed model predictive (CDMPC) is to improve the performance of an existing decentralized MPC system, which neglects the interactions among subsystems. In the first scenario, an analytic approach derives the global optimal solution to the plant-wide problem in the abs ...
DOI:
10.1021/acs.iecr.7b02414