paper-with-me

Papers

Analysis and Experimental Validation of the WPT Efficiency of the Both-Sides Retrodirective System

2023-09-25 · Charleston Dale M. Ambatali, Shinichi Nakasuka, Bo Yang, Naoki Shinohara

The retrodirective antenna array is considered as a mechanism to enable target tracking of a power receiver for long range wireless power transfer (WPT) due to its simplicity in implementation using only analog circuits. By installing the retrodirective capability on both the generator and rectenna arrays, a feedback loop that produces a high efficiency WPT channel is created. In this paper, we characterize the dynamics of this phenomenon using a discrete-time state-space model based on S-parameters and show that the system can naturally achieve maximum theoretical WPT efficiency. We further confirmed the theoretical analysis through a hardware experiment using a 12-port circuit board with measurable S-parameters mimicking a static wireless channel. The results collected from the hardware experiment show agreement with the proposed theoretical framework by comparing the theoretical efficiency with the measured efficiency and by showing that the collected data points follow the predicted condition to achieve maximum efficiency.

📄 PDF Abstract BibTeX arXiv:2309.14274

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation

2018-03-03 · Sergii Stirenko, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi 외

The results of chest X-ray (CXR) analysis of 2D images to get the statistically reliable predictions (availability of tuberculosis) by computer-aided diagnosis (CADx) on the basis of deep learning are presented. They dem…

Data AugmentationSegmentation

Exploiting BERT for End-to-End Aspect-based Sentiment Analysis

2019-10-02 · WS 2019 11 · Xin Li, Lidong Bing, Wenxuan Zhang, Wai Lam

In this paper, we investigate the modeling power of contextualized embeddings from pre-trained language models, e.g. BERT, on the E2E-ABSA task. Specifically, we build a series of simple yet insightful neural baselines t…

Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Model SelectionSentiment Analysis

Fast Electromagnetic Validations of Large-Scale Digital Coding Metasurfaces Accelerated by Recurrence Rebuild and Retrieval Method

2021-12-04 · Yu Zhao, Shang Xiang, Long Li

The recurrence rebuild and retrieval method (R3M) is proposed in this paper to accelerate the electromagnetic (EM) validations of large-scale digital coding metasurfaces (DCMs). R3M aims to accelerate the EM validations …

CPURetrieval

Energy Consumption and Battery Aging Minimization Using a Q-learning Strategy for a Battery/Ultracapacitor Electric Vehicle

2020-10-27 · Bin Xu, Junzhe Shi, Sixu Li, Huayi Li 외

Propulsion system electrification revolution has been undergoing in the automotive industry. The electrified propulsion system improves energy efficiency and reduces the dependence on fossil fuel. However, the batteries …

energy managementManagementQ-Learning

dtaianomaly: A Python library for time series anomaly detection

2025-02-20 · Louis Carpentier, Nick Seeuws, Wannes Meert, Mathias Verbeke

dtaianomaly is an open-source Python library for time series anomaly detection, designed to bridge the gap between academic research and real-world applications. Our goal is to (1) accelerate the development of novel sta…

Anomaly DetectionTime SeriesTime Series Anomaly Detection