Space optical remote sensors are widely used in the field of space to earth and space to sky target observation and detection, and to obtain important information. With the progress of The Times and the improvement of...
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The magnetic field is fundamental to numerous applications including medical diagnostic, chemical detection, and navigation. Nitrogen vacancy (NV) center in diamond has emerged as a promising quantum system for nanosc...
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The magnetic field is fundamental to numerous applications including medical diagnostic, chemical detection, and navigation. Nitrogen vacancy (NV) center in diamond has emerged as a promising quantum system for nanoscale magnetic field sensing, facilitated by a simple optical setup at ambient temperature. Despite advancements, real-time monitoring of the change in local magnetic field and precise determination of field directions remain challenging. Here, we present an approach to real-time vector magnetometry using NV center ensembles. Our system integrates an optical light guide, microwave control, and a graphical user interface (GUI) for controlling the pulse sequence and performing rapid optically detected magnetic resonance (ODMR) measurements. We observe zero-field splitting at 2.87 GHz and the Zeeman effect under external magnetic fields. Additionally, when the magnetic field orientation changes, we can observe multiple transitions from the different NV center axes, from which we can combine with a simulation to determine the vector magnetic field. Our system can be used as a basic quantum phenomena demonstration kit or in applications such as navigation or magnetic field imaging.
Lowering heavy-duty emission thresholds towards ultra-low emission transportation systems constitute a serious challenge. Indeed, the engine and exhaust aftertreatment systems have been complexified for decades to ful...
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ISBN:
(数字)9781665473385
ISBN:
(纸本)9781665473385
Lowering heavy-duty emission thresholds towards ultra-low emission transportation systems constitute a serious challenge. Indeed, the engine and exhaust aftertreatment systems have been complexified for decades to fulfill always stricter regulations. As a result, the powertrain represents a significant part of the final vehicle price. Therefore, advancedcontrol methods are required to meet the upcoming emission thresholds without drastically increasing the system cost and complexity. Such control designs have already shown promising results but require accurate physical estimates - particularly the oxygen content in the intake and the exhaust manifold are essential information for a precise engine and aftertreatment systems control. Although observer methods exist for such accurate and robust estimations, they are not suitable for hardware implementation due to their complexity. This paper introduces an observer to estimate oxygen content-related physical signals. The proposed method takes advantage of all existing sensors and a simple dynamic model within a sensor fusion framework. The observer is implemented in an advanced simulation platform, where the observer estimates are shown to be unbiased and robust to noise and sensor inaccuracies. These results suggest that an advancedcontroller combined with the proposed observer method could reduce the engine-out transient emissions without supplementary hardware cost or complexity.
Many farmers already started using the Greenhouse Farming and Smart Irrigation system. The Sri Lankan agriculture sector is comparatively underdeveloped in using technological inputs for farming activities. In this pr...
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The proceedings contain 177 papers. The topics discussed include: enhancing autonomous ground vehicle positioning and navigation through cascaded multi-sensor integration;a comparative study of traditional and transfo...
ISBN:
(纸本)9798350309225
The proceedings contain 177 papers. The topics discussed include: enhancing autonomous ground vehicle positioning and navigation through cascaded multi-sensor integration;a comparative study of traditional and transformer-based deep learning models for multi-class eye movement recognition using collected dataset;smart water meter based on LoRA communication technology;design of light intensity and soil moisture controlsystem to optimize lettuce growth indoors;development of Bemisia Tabaci pest trap technology based on centralized PLTS (off-grid) as an energy source in one hectare edamame agricultural land;electricity generating system by using Stirling engine integrated with Internet of Things (IoT);generator of Javanese gamelan musical note using 1D CNN multi-label classification;and optimized artificial potential fields for obstacle avoidance of unmanned aerial vehicles.
Lift is an indispensable means of transportation in our daily life. Lift safety is a great concern with large-scale deployment and heavy use. To enhance lift safety, Internet of Things (IoT) devices have been applied ...
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When a navigation systems are developed, lots of tests have to be performed. If a simulator is available which can generate signal and data of real environment, huge amount of time and cost can be reduced for developm...
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Photo multiplier tube (PMT) detector-based spectroscopy diagnostic has been installed for plasma physics experiments in ADITYA-U Tokamak. The output of PMT is current pulse ranging from 100nA-50μA depending upon the ...
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One of the leading frontiers of the Internet of Things (IoT) era, smart building systems have made modern homes more innovative, interconnected, and autonomous. The goal of a smart home system is to enhance users'...
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The abstract is a mandatory element that should summarize the con- tents of the paper and should contain 15–250 words. Abstract and keywords are made freely available in SpringerLink. Automation technology is current...
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