You are currently viewing a new version of our website. To view the old version click .

Computation, Volume 11, Issue 3

March 2023 - 26 articles

Cover Story: Advanced modeling and analysis techniques are fundamental for the design and optimization of energy harvesting systems. This work demonstrates the benefits of using advanced techniques, often borrowed from other fields, to improve the performance of such systems. The review is focused on the modeling techniques that apply to the source/mechanical oscillator/transducer/electrical load chain, describing mechanical–electrical analogies to represent the collective behavior as the cascade of equivalent electrical two-ports, introducing matching networks enhancing the energy transfer to the load, and discussing the main numerical techniques in the frequency and time domains that can be used to analyze linear and nonlinear harvesters, both in the case of deterministic and stochastic excitations. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (26)

  • Article
  • Open Access
9 Citations
3,318 Views
18 Pages

Artificial Neural Network Model for Membrane Desalination: A Predictive and Optimization Study

  • MieowKee Chan,
  • Amin Shams,
  • ChanChin Wang,
  • PeiYi Lee,
  • Yousef Jahani and
  • Seyyed Ahmad Mirbagheri

Desalination is a sustainable method to solve global water scarcity. A Response Surface Methodology (RSM) approach is widely applied to optimize the desalination performance, but further investigations with additional inputs are restricted. An Artifi...

  • Article
  • Open Access
3 Citations
3,487 Views
21 Pages

Minimizing the carbon footprint of the aviation industry is of critical importance for the forthcoming years, allowing the mitigation of climate change through fossil fuel economy. Significant progress toward this goal can be achieved through the aer...

  • Article
  • Open Access
6 Citations
3,052 Views
17 Pages

An Energy-Saving Road-Lighting Control System Based on Improved YOLOv5s

  • Ren Tang,
  • Chaoyang Zhang,
  • Kai Tang,
  • Xiaoyang He and
  • Qipeng He

Road lighting is one of the largest consumers of electric energy in cities. Research into energy-saving street lighting is of great significance to city sustainable development and economies, especially given that many countries are now in a period o...

  • Article
  • Open Access
4 Citations
2,489 Views
15 Pages

This paper proposes a novel approach, EA2-IMDG (Efficient Approach of Using an In-Memory Data Grid) to improve the performance of replication and scheduling in grid environment systems. Grid environments are widely used for distributed computing, but...

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

Modelling Qualitative Data from Repeated Surveys

  • Marcella Corduas and
  • Domenico Piccolo

This article presents an innovative dynamic model that describes the probability distributions of ordered categorical variables observed over time. For this purpose, we extend the definition of the mixture distribution obtained from the combination o...

  • Article
  • Open Access
15 Citations
5,507 Views
43 Pages

Today, medical image-based diagnosis has advanced significantly in the world. The number of studies being conducted in this field is enormous, and they are producing findings with a significant impact on humanity. The number of databases created in t...

  • Article
  • Open Access
2 Citations
4,656 Views
18 Pages

Research and development efforts in the field of commercial applications have invested strategic interest in the design of intelligent systems that correctly handle out-of-stock events. An out-of-stock event refers to a scenario in which such custome...

  • Article
  • Open Access
10 Citations
2,313 Views
26 Pages

Research on Risk Detection of Autonomous Vehicle Based on Rapidly-Exploring Random Tree

  • Yincong Ma,
  • Kit Guan Lim,
  • Min Keng Tan,
  • Helen Sin Ee Chuo,
  • Ali Farzamnia and
  • Kenneth Tze Kin Teo

There is no doubt that the autonomous vehicle is an important developing direction of the auto industry, and, thus, more and more scholars are paying attention to doing more research in this field. Since path planning plays a key role in the operatio...

  • Article
  • Open Access
6 Citations
2,739 Views
14 Pages

Stress-Strained State of the Thrust Bearing Disc of Hydrogenerator-Motor

  • Oleksii Tretiak,
  • Dmitriy Kritskiy,
  • Igor Kobzar,
  • Mariia Arefieva,
  • Volodymyr Selevko,
  • Dmytro Brega,
  • Kateryna Maiorova and
  • Iryna Tretiak

In this article, the main causes of vibration in the thrust bearing of hydrogenerator motors rated 320 MW are considered. The main types of internal and surface defects that appear on the working surface of the thrust bearing disc during long-term op...

  • Article
  • Open Access
33 Citations
6,403 Views
17 Pages

Enhanced Pre-Trained Xception Model Transfer Learned for Breast Cancer Detection

  • Shubhangi A. Joshi,
  • Anupkumar M. Bongale,
  • P. Olof Olsson,
  • Siddhaling Urolagin,
  • Deepak Dharrao and
  • Arunkumar Bongale

Early detection and timely breast cancer treatment improve survival rates and patients’ quality of life. Hence, many computer-assisted techniques based on artificial intelligence are being introduced into the traditional diagnostic workflow. Th...

of 3

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Computation - ISSN 2079-3197