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Electronics, Volume 10, Issue 1

January-1 2021 - 97 articles

Cover Story: Based on the characteristics of the state presented by the EW conflict system over time, this paper first analyzes the dynamic relationship between the state of the target unit and the task unit of the EW system by studying the conflicts in the EW system. Secondly, based on studying the measurability of condition state attributes of the EW conflict system, the measurable state space of EW effectiveness is established by referring to the multidimensional holistic analysis strategy in the spatial analysis method. Then, randomness is introduced into the state space. Finally, a dynamic conflict analysis model for EW effectiveness is constructed. The static and dynamic correlation characteristics are analyzed during the conflict states of EW, and the availability of the method is verified by an example. View this paper
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Articles (97)

  • Article
  • Open Access
9 Citations
4,090 Views
15 Pages

Fully convolutional structures provide feature maps acquiring local contexts of an image by only stacking numerous convolutional layers. These structures are known to be effective in modern state-of-the-art object detectors such as Faster R-CNN and S...

  • Article
  • Open Access
6 Citations
4,170 Views
28 Pages

With a target to maximize the throughput, a fast link rate adaptation algorithm for IEEE 802.11a/b/g/n/ac is proposed, which is basically preamble based and can adaptively compensate for the discrepancy between transmitter and receiver radio frequenc...

  • Article
  • Open Access
19 Citations
6,477 Views
26 Pages

SPD-Safe: Secure Administration of Railway Intelligent Transportation Systems

  • George Hatzivasilis,
  • Konstantinos Fysarakis,
  • Sotiris Ioannidis,
  • Ilias Hatzakis,
  • George Vardakis,
  • Nikos Papadakis and
  • George Spanoudakis

The railway transport system is critical infrastructure that is exposed to numerous man-made and natural threats, thus protecting this physical asset is imperative. Cyber security, privacy, and dependability (SPD) are also important, as the railway o...

  • Article
  • Open Access
4 Citations
4,064 Views
10 Pages

Efficient Memory Organization for DNN Hardware Accelerator Implementation on PSoC

  • Antonio Rios-Navarro,
  • Daniel Gutierrez-Galan,
  • Juan Pedro Dominguez-Morales,
  • Enrique Piñero-Fuentes,
  • Lourdes Duran-Lopez,
  • Ricardo Tapiador-Morales and
  • Manuel Jesús Dominguez-Morales

The use of deep learning solutions in different disciplines is increasing and their algorithms are computationally expensive in most cases. For this reason, numerous hardware accelerators have appeared to compute their operations efficiently in paral...

  • Feature Paper
  • Article
  • Open Access
37 Citations
4,477 Views
17 Pages

This work deals with the computationally-efficient inversion of microwave scattering data for brain stroke detection and monitoring. The proposed multi-step approach is based on the Learning-by-Examples (LBE) paradigm and naturally matches the stages...

  • Article
  • Open Access
20 Citations
5,709 Views
15 Pages

Gaining a Sense of Touch Object Stiffness Estimation Using a Soft Gripper and Neural Networks

  • Michal Bednarek,
  • Piotr Kicki,
  • Jakub Bednarek and
  • Krzysztof Walas

Soft grippers are gaining significant attention in the manipulation of elastic objects, where it is required to handle soft and unstructured objects, which are vulnerable to deformations. The crucial problem is to estimate the physical parameters of...

  • Article
  • Open Access
20 Citations
6,913 Views
15 Pages

SmartFit: Smartphone Application for Garment Fit Detection

  • Kamrul H. Foysal,
  • Hyo Jung Chang,
  • Francine Bruess and
  • Jo Woon Chong

The apparel e-commerce industry is growing day by day. In recent times, consumers are particularly interested in an easy and time-saving way of online apparel shopping. In addition, the COVID-19 pandemic has generated more need for an effective and c...

  • Letter
  • Open Access
7 Citations
3,476 Views
11 Pages

The determination of ultrasonic echo signal onset time is the core of performing the time difference method to calculate wind speed. However, in practical cases, background noise makes precise determination extremely difficult. This paper carries out...

  • Article
  • Open Access
14 Citations
4,222 Views
32 Pages

AMC2N: Automatic Modulation Classification Using Feature Clustering-Based Two-Lane Capsule Networks

  • Dhamyaa H. Al-Nuaimi,
  • Muhammad F. Akbar,
  • Laith B. Salman,
  • Intan S. Zainal Abidin and
  • Nor Ashidi Mat Isa

The automatic modulation classification (AMC) of a detected signal has gained considerable prominence in recent years owing to its numerous facilities. Numerous studies have focused on feature-based AMC. However, improving accuracy under low signal-t...

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Electronics - ISSN 2079-9292