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Topic Review
Cerium Oxide-Based Memristors for Neuromorphic Computing
CeO2 is considered the most promising candidate because of its multiple oxidation states (Ce3+ and Ce4+), remarkable resistive-switching (RS) uniformity in DC mode, gradual resistance transition, cycling endurance, long data-retention period, and utilization of the RS mechanism as a dielectric layer, thereby exhibiting potential for neuromorphic computing. 
  • 210
  • 25 Oct 2023
Topic Review
Intelligent Reflecting Surface Backscatter-Based Secrecy Enhancement
With the development of wireless communication technology, more and more private information is transmitted through public channels, which increases the risk of information leakage. An intelligent reflecting surface (IRS) can be combined with backscatter technology and integrated into the wireless communication system. The integration of backscatter in IRS can enhance the communication security of the system by utilizing the power of the interference signal emitted by the active eavesdropper. The signal reflected by the IRS can reduce the impact of the eavesdropper’s interference signal and strengthen the required signal received by the legitimate user. This dual capability enhances the reliability of communication, fortifying the received signal quality for legitimate users in the system.
  • 151
  • 25 Jan 2024
Topic Review
Evolution of Flexible Sensors in Medical Applications
This article explores the development and significance of flexible capacitive pressure sensors (CPS) in medical applications. It begins by tracing the historical origins of capacitive sensing and highlights the recent advancements that have made flexible CPS a vital technology in the healthcare industry. The article delves into key applications of CPS, such as wearable health monitors, artificial skin for prosthetics, minimally invasive medical devices, and implantable cardiac monitors. Through various case studies, it illustrates how these sensors enhance patient care by offering continuous, accurate, and non-invasive monitoring. The article concludes by discussing the challenges and future potential of CPS in revolutionizing medical technology.
  • 146
  • 26 Aug 2024
Topic Review
Adaptive Long-Term Wi-Fi Fingerprint-Based Indoor Localization
This research delves into the challenges of Wi-Fi fingerprint-based indoor localization in dynamic environments, addressing the evolving nature of signal patterns and feature spaces over time. The study focuses on improving adaptive long-term localization accuracy by examining temporal variations in signal strength across 25 months. The research employs key methodologies such as mean-based feature selection, principal component analysis (PCA), and functional discriminant analysis (FDA) to examine signal features and address multicollinearity. The paper introduces an innovative algorithm, Ada-LT IP, which integrates data reduction and transfer learning techniques to enhance accuracy. The proposed method effectively mitigates signal fluctuations and reduces computational complexity, resulting in superior performance compared to current state-of-the-art approaches, as measured by mean absolute error. This research provides critical insights into enhancing adaptive long-term Wi-Fi indoor localization systems, paving the way for more reliable applications in real-world settings.
  • 96
  • 31 Oct 2024
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