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

Technologies, Volume 13, Issue 10

October 2025 - 53 articles

Cover Story: Real-time video systems—such as drone piloting and remote surveillance—demand extremely low delay. This work presents a lightweight encoder implemented on reconfigurable FPGA hardware to minimize end-to-end latency under tight power budgets. The architecture is deeply pipelined and parallelized so that streaming can begin while frames are still being processed, achieving sub-frame delay. Compression can adapt to regions with different levels of detail and uses a quantized differential scheme to cut data. On a 150 MHz FPGA, it delivers 1.9–2.1 ms latency at ~2.7 W—~6.6× lower than a parallel GPU version at about half the power—highlighting strong suitability for responsive embedded video control. 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 (53)

  • Article
  • Open Access
317 Views
17 Pages

The rapid advancement of artificial intelligence in automotive applications, particularly in Advanced Driver-Assistance Systems (ADAS) and smart battery management on electric vehicles, increases the demand for efficient near-sensor processing. While...

  • Article
  • Open Access
255 Views
16 Pages

Fibonacci Tessellation for Optimizing Planar Phased Arrays in Satellite Communications

  • Juan L. Valle,
  • Marco A. Panduro,
  • Carlos A. Brizuela,
  • Roberto Conte,
  • Carlos del Río Bocio and
  • David H. Covarrubias

This article presents a novel strategy for the design of planar phased arrays using Fibonacci-based partitioning combined with a random multi-objective search. This approach intends to minimize the number of phase shifters used by the system while ma...

  • Article
  • Open Access
500 Views
38 Pages

Sustainable Swarm Intelligence: Assessing Carbon-Aware Optimization in High-Performance AI Systems

  • Vasileios Alevizos,
  • Nikitas Gerolimos,
  • Eleni Aikaterini Leligkou,
  • Giorgos Hompis,
  • Georgios Priniotakis and
  • George A. Papakostas

Carbon-aware AI demands clear links between algorithmic choices and verified emission outcomes. This study measures and steers the carbon footprint of swarm-based optimization in HPC by coupling a job-level Emission Impact Metric with sub-minute powe...

  • Systematic Review
  • Open Access
418 Views
28 Pages

Intelligent Eco-Technologies for End-of-Life Photovoltaic Modules: A Systematic Review

  • Valentina-Daniela Băjenaru,
  • Roxana-Mariana Nechita and
  • Simona-Elena Istrițeanu

This paper explores the evolution of first-generation solar cells by analysing the selection and engineering of materials that led to innovations. It also addresses the potential of using materials other than silicon and issues related to innovative...

  • Article
  • Open Access
358 Views
18 Pages

A Study of Performance and Emission Characteristics of Diesel-Palm Oil Mill Effluent Gas on Dual-Fuel Diesel Engines Based on Energy Ratio

  • Yanuandri Putrasari,
  • Hafiziani Eka Putri,
  • Achmad Praptijanto,
  • Arifin Nur,
  • Mulia Pratama,
  • Ahmad Dimyani,
  • Suherman,
  • Bambang Wahono,
  • Muhammad Khristamto Aditya Wardana and
  • Ocktaeck Lim
  • + 2 authors

Biogas from palm oil mill effluent (POME) is a promising fuel that has many advantages as an alternative fuel. The methane content in biogas derived from POME is up to 75% and can be used as an alternative fuel in an internal combustion engine. One o...

  • Article
  • Open Access
431 Views
20 Pages

Lightweight Neural Network for Holographic Reconstruction of Pseudorandom Binary Data

  • Mikhail K. Drozdov,
  • Dmitry A. Rymov,
  • Andrey S. Svistunov,
  • Pavel A. Cheremkhin,
  • Anna V. Shifrina,
  • Semen A. Kiriy,
  • Evgenii Yu. Zlokazov,
  • Elizaveta K. Petrova,
  • Vsevolod A. Nebavskiy and
  • Nikolay N. Evtikhiev
  • + 1 author

Neural networks are a state-of-the-art technology for fast and accurate holographic image reconstruction. However, at present, neural network-based reconstruction methods are predominantly applied to objects with simple, homogeneous spatial structure...

  • Review
  • Open Access
565 Views
24 Pages

This study examines the effects of hailstorms on photovoltaic (PV) modules, focussing on damage mechanisms, testing standards, numerical simulations, damage detection techniques, and mitigation strategies. A comprehensive review of the recent literat...

  • Article
  • Open Access
413 Views
23 Pages

Carbon Emission Reduction Capability Analysis of Electricity–Hydrogen Integrated Energy Storage Systems

  • Rankai Zhu,
  • Yuxi Li,
  • Xu Huang,
  • Yaoxuan Xia,
  • Yunjin Tu,
  • Bowen Zheng,
  • Jing Qiu and
  • Xiaoshun Zhang

Against the dual backdrop of intensifying carbon emission constraints and the large-scale integration of renewable energy, integrated electricity–hydrogen energy systems (EH-ESs) have emerged as a crucial technological pathway for decarbonising...

  • Article
  • Open Access
278 Views
18 Pages

From Continuous Integer-Order to Fractional Discrete-Time: A New Computer Virus Model with Chaotic Dynamics

  • Imane Zouak,
  • Ahmad Alshanty,
  • Adel Ouannas,
  • Antonio Mongelli,
  • Giovanni Ciccarese and
  • Giuseppe Grassi

Computer viruses remain a persistent technological challenge in information security. They require mathematical frameworks that realistically capture their propagation in digital networks. Classical continuous-time, integer-order models often overloo...

  • Article
  • Open Access
441 Views
20 Pages

The rapid development of the Internet of Things (IoT) poses significant problems in securing heterogeneous, massive, and high-volume network traffic against cyber threats. Traditional intrusion detection systems (IDSs) are often found to be poorly sc...

of 6

Get Alerted

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

XFacebookLinkedIn
Technologies - ISSN 2227-7080