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Algorithms, Volume 12, Issue 6

June 2019 - 13 articles

Cover Story: In this investigation, we constructed a network of sensors to identify and reduce uncertainty in the location and intensity of possible nuclear sources inside a simulated 250 × 180 m block of an urban center. We employed a robust design method that eliminated dependence on the true source location and intensity and focused on an ED-optimal design, whose network solution maximizes the expected value of the determinant of the Fisher information matrix over the entire domain. We also employed a smooth radial basis function radiation transport model. The Fisher information ranking scores showed many optimal networks. The overall RMSE revealed that one of the optimal networks depicted here has more precision, identifying the nuclear source characteristics better than any other network in the average sense for a data set of 50 different sources. View this paper.
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Articles (13)

  • Article
  • Open Access
5,264 Views
11 Pages

Lyndon Factorization Algorithms for Small Alphabets and Run-Length Encoded Strings

  • Sukhpal Singh Ghuman,
  • Emanuele Giaquinta and
  • Jorma Tarhio

21 June 2019

We present two modifications of Duval’s algorithm for computing the Lyndon factorization of a string. One of the algorithms has been designed for strings containing runs of the smallest character. It works best for small alphabets and it is able to s...

  • Review
  • Open Access
10 Citations
5,096 Views
15 Pages

18 June 2019

As of today, bioinformatics is one of the most exciting fields of scientific research. There is a wide-ranging list of challenging problems to face, i.e., pairwise and multiple alignments, motif detection/discrimination/classification, phylogenetic t...

  • Article
  • Open Access
17 Citations
8,672 Views
11 Pages

15 June 2019

Image clustering involves the process of mapping an archive image into a cluster such that the set of clusters has the same information. It is an important field of machine learning and computer vision. While traditional clustering methods, such as k...

  • Article
  • Open Access
12 Citations
4,489 Views
23 Pages

12 June 2019

This work suggests a solution for the output reference model (ORM) tracking control problem, based on approximate dynamic programming. General nonlinear systems are included in a control system (CS) and subjected to state feedback. By linear ORM sele...

  • Article
  • Open Access
15 Citations
5,007 Views
15 Pages

The Role of Façade Materials in Blast-Resistant Buildings: An Evaluation Based on Fuzzy Delphi and Fuzzy EDAS

  • Hamidreza Hasheminasab,
  • Sarfaraz Hashemkhani Zolfani,
  • Mahdi Bitarafan,
  • Prasenjit Chatterjee and
  • Alireza Abhaji Ezabadi

10 June 2019

Blast-resistant buildings are mainly used to protect main instruments, controllers, expensive equipment, and people from explosion waves. Oil and gas industry projects almost always include blast-resistant buildings. For instance, based on a hazard i...

  • Article
  • Open Access
4 Citations
4,676 Views
21 Pages

10 June 2019

Production planning and scheduling are important bases for production decisions. Concerning the traditional modeling of production planning and scheduling based on Resource-Task Network (RTN) representation, uncertain factors such as utilities are ra...

  • Article
  • Open Access
58 Citations
8,111 Views
12 Pages

Deep Learning with a Recurrent Network Structure in the Sequence Modeling of Imbalanced Data for ECG-Rhythm Classifier

  • Annisa Darmawahyuni,
  • Siti Nurmaini,
  • Sukemi,
  • Wahyu Caesarendra,
  • Vicko Bhayyu,
  • M Naufal Rachmatullah and
  • Firdaus

7 June 2019

The interpretation of Myocardial Infarction (MI) via electrocardiogram (ECG) signal is a challenging task. ECG signals’ morphological view show significant variation in different patients under different physical conditions. Several learning al...

  • Article
  • Open Access
4 Citations
4,247 Views
15 Pages

6 June 2019

In the current paper, an iterative algorithm is developed to simulate the problem of two-phase flow with heat transfer in porous media. The convective body force caused by heat transfer is described by Boussinesq approximation throughout with the gov...

  • Article
  • Open Access
11 Citations
5,412 Views
13 Pages

29 May 2019

Background subtraction plays a fundamental role for anomaly detection in video surveillance, which is able to tell where moving objects are in the video scene. Regrettably, the regular rotating pumping unit is treated as an abnormal object by the bac...

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Algorithms - ISSN 1999-4893Creative Common CC BY license