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Signals, Volume 3, Issue 4

December 2022 - 15 articles

Cover Story: The proposed sampling methodology generates an approximation of the objective function by first taking some samples from it and then training a neural network to approximate the function. Once the neural network training process is completed, a bunch of points can be sampled from the neural network, and those with the lowest functional value will be used as starting points for the Multistart method. This way, the actual function will not be sampled, but the neural network approximating it will, which should significantly reduce the required number of function calls. Furthermore, using points with a low function value as starting points is expected to speed up the location of the global minimum. In addition, the RBF neural network is incorporated since it has a speedy training technique. View this paper
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Articles (15)

  • Article
  • Open Access
3 Citations
3,805 Views
21 Pages

Ensemble of Networks for Multilabel Classification

  • Loris Nanni,
  • Luca Trambaiollo,
  • Sheryl Brahnam,
  • Xiang Guo and
  • Chancellor Woolsey

14 December 2022

Multilabel learning goes beyond standard supervised learning models by associating a sample with more than one class label. Among the many techniques developed in the last decade to handle multilabel learning best approaches are those harnessing the...

  • Article
  • Open Access
1 Citations
1,933 Views
16 Pages

13 December 2022

The construction of intelligent logistics by intelligent wireless sensing is a modern trend. Hence, this study uses the multistate flow network (MFN) to explore the actual environment of logistics delivery and to consider the different types of trans...

  • Article
  • Open Access
3 Citations
2,614 Views
20 Pages

6 December 2022

This paper uses millimeter-wave radar to recognize gestures in four different scene domains. The four scene domains are the experimental environment, the experimental location, the experimental direction, and the experimental personnel. The experimen...

  • Article
  • Open Access
6 Citations
2,462 Views
18 Pages

Use RBF as a Sampling Method in Multistart Global Optimization Method

  • Ioannis G. Tsoulos,
  • Alexandros Tzallas and
  • Dimitrios Tsalikakis

2 December 2022

In this paper, a new sampling technique is proposed that can be used in the Multistart global optimization technique as well as techniques based on it. The new method takes a limited number of samples from the objective function and then uses them to...

  • Article
  • Open Access
8 Citations
3,004 Views
27 Pages

New Optimal Design of Multimode Shunt-Damping Circuits for Enhanced Vibration Control

  • Konstantinos Marakakis,
  • Georgios K. Tairidis,
  • Georgia A. Foutsitzi,
  • Nikolaos A. Antoniadis and
  • Georgios E. Stavroulakis

17 November 2022

In this study, a new method for the optimal design of multimode shunt-damping circuits is presented. A modification of the “current-flowing” shunt circuit is employed to control multiple vibration modes of a piezoelectric laminate beam. I...

  • Brief Report
  • Open Access
2,618 Views
7 Pages

A Lunar Backup Record of Humanity

  • Carson Ezell,
  • Alexandre Lazarian and
  • Abraham Loeb

7 November 2022

The risk of a catastrophic or existential disaster for our civilization is increasing this century. A significant motivation for a near-term space settlement is the opportunity to safeguard civilization in the event of a planetary-scale disaster. A c...

  • Article
  • Open Access
10 Citations
4,199 Views
16 Pages

Performance Evaluation of Classification Algorithms to Detect Bee Swarming Events Using Sound

  • Kiromitis I. Dimitrios,
  • Christos V. Bellos,
  • Konstantinos A. Stefanou,
  • Georgios S. Stergios,
  • Ioannis Andrikos,
  • Thomas Katsantas and
  • Sotirios Kontogiannis

3 November 2022

This paper presents a machine-learning approach for detecting swarming events. Three different classification algorithms are tested: The k-Nearest Neighbors algorithm (k-NN) and Support Vector Machine (SVM), and a newly proposed by the authors, U-Net...

  • Article
  • Open Access
2 Citations
2,059 Views
13 Pages

2 November 2022

Compressive sensing is a simultaneous data acquisition and compression technique, which can significantly reduce data bandwidth, data storage volume, and power. We apply this technique for transient photometric events. In this work, we analyze the ef...

  • Article
  • Open Access
16 Citations
9,168 Views
29 Pages

1 November 2022

Visible light communication (VLC ) is an emerging research area in wireless communication. The system works the same way as optical fiber-based communication systems. However, the VLC system uses free space as its transmission medium. The invention o...

  • Article
  • Open Access
2 Citations
2,721 Views
13 Pages

Signal to Noise Ratio of a Coded Slit Hyperspectral Sensor

  • Jonathan Piper,
  • Peter W. T. Yuen and
  • David James

26 October 2022

In recent years, a wide range of hyperspectral imaging systems using coded apertures have been proposed. Many implement compressive sensing to achieve faster acquisition of a hyperspectral data cube, but it is also potentially beneficial to use coded...

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Signals - ISSN 2624-6120