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Detection of vehicle position is critical for successful operation of intelligent transportation system. In case of railroad transportation systems, position information of railroad vehicles can be detected by GPS, track circuits, and so…

仪器与探测器 · 物理学 2015-09-01 Hyun-Gyu Ryu , Dongsoo Har

The early detection of terrorist threat objects, such as guns and knives, through improved metal detection, has the potential to reduce the number of attacks and improve public safety and security. To achieve this, there is considerable…

机器学习 · 计算机科学 2021-10-14 B. A. Wilson , P. D. Ledger , W. R. B. Lionheart

The inductive response of an object to an oscillating magnetic field reveals information about its electrical conductivity and magnetic permeability. Here we introduce a technique that uses measurements of the angular, frequency and spatial…

应用物理 · 物理学 2021-11-24 R. Gartman , W. Chalupczak

The early detection of terrorist threats, such as guns and knives, through improved metal detection, has the potential to reduce the number of attacks and improve public safety and security. To achieve this, there is considerable potential…

密码学与安全 · 计算机科学 2020-12-21 P. D. Ledger , B. A. Wilson , A. A. S. Amad , W. R. B. Lionheart

Detecting transmission towers from synthetic aperture radar (SAR) images remains a challenging task due to the comparatively small size and side-looking geometry, with background clutter interference frequently hindering tower…

计算机视觉与模式识别 · 计算机科学 2024-04-02 Tianyang Li , Chao Wang , Hong Zhang

High-frequency inductive power transfer (IPT) has garnered significant attention in recent years due to its long transmission distance and high efficiency. The inductance values L and quality factors Q of the transmitting and receiving…

系统与控制 · 电气工程与系统科学 2025-02-20 Yifan Zhao , Mowei Lu , Ting Chen , Heyuan Li , Xiang Gao , Zhenbin Zhang , Minfan Fu , Stefan M. Goetz

Inspection of high-voltage power equipment is an effective way to ensure power supply reliability. Object recognition, one of the key technologies in automatic power equipment inspection, attracts attention of many researchers and…

计算机视觉与模式识别 · 计算机科学 2023-11-15 Bingying Jin , Yadong Liu , Qinlin Qian

Deep learning-based object detection is a powerful approach for detecting faulty insulators in power lines. This involves training an object detection model from scratch, or fine tuning a model that is pre-trained on benchmark computer…

计算机视觉与模式识别 · 计算机科学 2022-12-22 Laya Das , Mohammad Hossein Saadat , Blazhe Gjorgiev , Etienne Auger , Giovanni Sansavini

The rapid development of chargeable devices has caused a great deal of interest in efficient and stable wireless power transfer (WPT) solutions. Most conventional WPT technologies exploit outdated electromagnetic field control methods…

The measurement of time-harmonic perturbed field data, at a range of frequencies, is beneficial for practical metal detection where the goal is to locate and identify hidden targets. In particular, these benefits are realised when frequency…

偏微分方程分析 · 数学 2020-01-08 P. D. Ledger , W. R. B. Lionheart

Deep learning based object detectors are commonly deployed on mobile devices to solve a variety of tasks. For maximum accuracy, each detector is usually trained to solve one single specific task, and comes with a completely independent set…

计算机视觉与模式识别 · 计算机科学 2021-01-06 Keren Ye , Adriana Kovashka , Mark Sandler , Menglong Zhu , Andrew Howard , Marco Fornoni

Wireless power transfer (WPT) is an emerging paradigm that will enable using wireless to its full potential in future networks, not only to convey information but also to deliver energy. Such networks will enable trillions of future…

信息论 · 计算机科学 2021-01-14 Bruno Clerckx , Kaibin Huang , Lav R. Varshney , Sennur Ulukus , Mohamed-Slim Alouini

A simple means of detecting and spatially mapping volatile and nonvolatile conductive filaments in metal/oxide/metal cross-point devices is introduced and its application demonstrated. The technique is based on thermal discolouration of a…

应用物理 · 物理学 2018-11-30 Shimul Kanti Nath , Sanjoy Kumar Nandi , Shuai Li , Robert Glen Elliman

Development of compact wireless power transfer (WPT) systems for charging miniature randomly oriented electronic devices is quite a challenge. Traditionally, WPT systems based on resonant magnetic coupling utilize face-to-face aligned…

应用物理 · 物理学 2023-07-31 Andrey Korzin , Esmaeel Zanganeh , Polina Kapitanova

Wireless power transmission (WPT) is a critical technology that provides a secure alternative mechanism for wireless power and communication with implantable medical devices. WPT approaches for implantable medical devices have been utilized…

信号处理 · 电气工程与系统科学 2020-03-04 Mohammad Haerinia

Wireless power transfer (WPT) is a promising service for the Internet of Things, providing a cost-effective and sustainable solution to deploy so-called energy-neutral devices on a massive scale. The power received at the device side from a…

A precise detection of palladium (Pd) ions is a critical challenge with significant socio-economic implications across various industrial and chemical sectors. Due to its widespread use and poor biodegradability, Pd2+ accumulates in…

Moving Object Detection (MOD) is a crucial task for the Autonomous Driving pipeline. MOD is usually handled via 2-stream convolutional architectures that incorporates both appearance and motion cues, without considering the inter-relations…

计算机视觉与模式识别 · 计算机科学 2021-06-23 Eslam Mohamed , Ahmad El-Sallab

State of the Art Wireless Power Transfer (WPT) systems, based on conventional copper coils, are known to exhibit efficiencies well above 90% when operated in the resonantly coupled mid-range regime. Besides full system efficiency, the area-…

应用物理 · 物理学 2021-02-01 Christoph Utschick , Cem Som , Ján Šouc , Veit Große , Fedor Gömöry , Rudolf Gross

Wide-band Electromagnetic Induction Sensors (WEMI) have been used for a number of years in subsurface detection of explosive hazards. While WEMI sensors have proven effective at localizing objects exhibiting large magnetic responses,…

机器学习 · 计算机科学 2019-05-22 Connor H. McCurley , James Bocinsky , Alina Zare
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