Search or ask a question

What are the applications of sensor fusion in fiber optic sensors?

Core (optical fiber)

Raman spectroscopy

Cladding (fiber optics)

Multispectral image

Best insight from top research papers

Sensor fusion in fiber optic sensors finds applications in various fields such as biomedical diagnostics, environmental monitoring, and structural health assessment. By combining different sensing modalities like temperature, refractive index, fluorescence, NIR, MIR, Raman spectroscopy, and Mach-Zehnder interference, fiber optic sensors can provide enhanced accuracy and versatility. In biomedical applications, fiber optic sensors are utilized for gait analysis, pulse rate monitoring, cardiovascular parameters, and biomarker detection in body fluids. The fusion of sensors enables real-time monitoring, improved sensitivity, and the ability to measure a wide range of parameters simultaneously, making fiber optic sensors a valuable tool for diverse applications requiring precise and reliable sensing capabilities.

Answers from top 5 papers

PDF

Open Access

More filters

Papers (5)	Insight
Proceedings Article•DOI Fabrication and sensing properties of fiber Mach-Zehnder sensor based on CO2 laser fusion Yao Wang, Mei Sang, Shuang Wang, Jie Dong, Tiegen Liu - Show less +4 more 12 Mar 2020	The fiber Mach-Zehnder sensor based on CO2 laser fusion offers curvature sensing for construction health monitoring, showcasing applications in structural deformation detection and monitoring.
Journal Article•DOI Fiber grating sensors and their recent applications in biomedical domain Shweta Pant, Anantpreet K. Sood, Sundarrajan Asokan - Show less +2 more 07 Jul 2023-Journal of Optics	Not addressed in the paper.
Open access•Journal Article•DOI Sensor Mathematical Model Data Fusion Biobjective Optimization Maowen Hou, Weiyun Wang - Show less +1 more 10 Jan 2022-Journal of Sensors 2 Citations	Sensor fusion in fiber optic sensors enhances temperature and refractive index measurements. It improves accuracy, resistance to interference, corrosion, and size while enabling integration for indoor environmental monitoring systems.
Open access•Book•DOI Fiber Optic Sensors in Chemical and Biological Applications 19 May 2022	Not addressed in the paper.
Proceedings Article•DOI Fiber sensors with multispectral approach for biomedical and industrial applications Iskander Usenov, Tatiana Sakharova, Alexander Novikov, Andrey Bogomolov, Alexey Bocharnikov, Viacheslav Artyushenko - Show less +5 more 30 May 2022	Fiber optic sensor fusion enables multispectral analysis for biomedical diagnostics and industrial process monitoring, merging fluorescence, NIR, MIR, and Raman spectroscopy in compact probes for enhanced accuracy and versatility.

My columns

Related Questions

How laser sensors are used in aircraft?5 answersLaser sensors are utilized in aircraft for various purposes. They are employed in anti-jamming solutions to enhance sensor efficiency under active jamming scenarios. Laser sensing devices are designed with rotating probes to align laser beams with the aircraft's speed direction, improving detection precision. Additionally, aircraft systems incorporate optical sensors that adjust laser emission intensity based on the operational state of the aircraft, ensuring optimal performance. In robotics and aerospace applications, laser-based sensors aid in navigation, collision avoidance, and mapping tasks, offering high ranging accuracy for platform pose estimation. Laser sensors are also used in plane detection methods, where machine learning models optimize data to identify and classify different medium types, enhancing mapping accuracy and positioning.

What types of fiber optic sensing exists?5 answersFiber optic sensing encompasses various types of sensors based on different principles. These include intensity, phase, and wavelength-based sensors. Single-fiber and double-fiber sensors are used for measuring displacement and gas pressure. Fiber optic sensors can be classified as point, multiplexed, long-base, and distributed sensors, each with its own advantages. Distributed Fiber Optic Sensing (DFOS) systems utilize backscattered light to measure temperature, strain, vibrations, and acoustic excitations. Another classification of fiber-optic sensors is based on the Mandelstam - Brillouin scattering principle, which can function in the time or frequency domain. These sensors have applications in structural monitoring, temperature measurement, leak detection, and stress analysis.

How can sensor fusion be used to improve the performance of robots?5 answersSensor fusion is a technique that combines information from multiple sensors to improve the performance of robots. It can enhance the accuracy and reliability of data collection, enabling precise control of robotic arms and dexterous hands. By fusing and processing sensing information, sensor fusion enables real-time control of anthropomorphic robotic arms, replicating the motion of human manipulators. In the context of visual simultaneous localization and mapping (SLAM), sensor fusion incorporates encoder measurements and employs geometric techniques to filter out features detected on moving objects, resulting in improved accuracy and real-time performance. Additionally, sensor fusion can optimize the number of sensors used in a system, reducing costs and resource consumption while improving the performance of multi-sensor fusion. Overall, sensor fusion techniques effectively exploit heterogeneous sensors and data fusion algorithms to enhance the performance of robots in various applications.

What are the applications of optical fiber-based sensors?5 answersOptical fiber-based sensors have a wide range of applications including medicine, automotive, biotechnology, food quality control, aerospace, physical and chemical monitoring, gas sensing, chemical sensing, biomolecules, industrial hazards, safety issues, drug monitoring, and heavy metal detections. These sensors have been utilized to measure physical and chemical variations in the surrounding environment, and have played a crucial role in detecting high fever and tackling pandemics like COVID-19. They have also been used for monitoring industrial environmental pollutants such as NH3, ethylenediamine, alcohol, and acetone. Optical fiber-based sensors offer advantages such as low cost, immunity to electromagnetic interference, easy multiplexing, and compact size, making them a useful tool in various sensing applications. These sensors can be developed using techniques such as evanescent field absorption spectroscopy, fiber Bragg grating (FBG), long-period grating (LPG), ringdown spectroscopy, surface plasmon resonance (SPR), and Mach-Zehnder interferometer (MZI).

What are the different types of optical fibre-based sensors?5 answersOptical fiber-based sensors have various types and applications. In-fiber interferometric sensors are rapidly growing and offer accurate measurements for physical and chemical quantities. Fiber Bragg grating (FBG) sensors are widely used and can detect changes in temperature and strain based on reflected light spectrum analysis. Optical sensors designed for biomedical applications include surface plasmon resonance (SPR) biosensors, photonic crystal fiber (PCF) biosensors, and thin film biosensors. Guided waves (GW) and acoustic emission (AE) sensors based on optical fibers are used for structural health monitoring (SHM) and offer advantages such as low weight, small size, and immunity to electromagnetic interference. Overall, fiber optic sensors provide a range of options for different sensing needs, including interferometric sensors, FBG sensors, biomedical sensors, and SHM sensors.

What are the different techniques for multi-sensor fusion?5 answersMulti-sensor fusion techniques include deep fusion models with attention mechanism (AMMFN), transformer-based fusion architecture (AFT-VO), and fusion based on spectrogram image fusion. The AMMFN model proposes a multi-layer deep fusion network that enhances information interaction and achieves adaptive hierarchical fusion of information. The AFT-VO architecture combines predictions from asynchronous multi-view cameras and accounts for time discrepancies, achieving robust and accurate trajectories. The spectrogram image fusion method enables the fusion of multiple and heterogeneous sensors in the time-frequency domain, effectively classifying device faults.

See what other people are reading

What are the optimal methods for isolating DNA from strawberry fruit for genetic analysis?

The optimal methods for isolating DNA from strawberry fruit for genetic analysis involve various techniques. Firstly, the use of the unamplified Raman scattering analysis (URSA) instrument with a 532 nm diode-pumped laser can provide consistent DNA Raman spectra. Additionally, RNA isolation methods such as the CTAB3-LiCl and Commercial Kit methods can be employed, with the former showing higher RNA concentration. For virus detection, the RNeasy plant RNA kit is recommended for optimal RNA extraction from strawberry leaves. Furthermore, transient gene manipulation (TGM) techniques can be utilized for identifying genes involved in strawberry fruit ripening, with success depending on vector type, temperature, and fruit developmental stage. Lastly, molecular marker methods like ISSR, SSR, and RFLP can aid in investigating genetic variations in different strawberry cultivars.What is the architectural style of the traditional houses in the rural areas of Saudi Arabia?

The architectural style of traditional houses in the rural areas of Saudi Arabia is characterized by a rich heritage that is now facing challenges due to modernization. These traditional houses exhibit core concepts and forms that have been maintained over centuries, with specific design elements such as Mashrabiya contributing to both cultural and energy efficiency aspects. The architectural heritage in Saudi cities has suffered due to economic development and urbanization, leading to the disappearance of traditional features and materials. Studies on the Najd region highlight the importance of internal spatial order and cultural values in shaping the physical form of dwellings, emphasizing harmony and unity in the built environment. Additionally, research on contemporary buildings in Riyadh showcases how modern architecture can draw inspiration from traditional Najd architecture to maintain cultural identity in a rapidly evolving context.Why use blood as biomarker for quantification of microplastic exposure?

Blood is utilized as a biomarker for quantifying microplastic exposure due to its effectiveness in reflecting internal chemical exposures that can lead to adverse health effects. Studies have shown that microplastics (MPs) can accumulate in blood, affecting various tissues and inducing oxidative stress and alterations in detoxifying biomarkers. Furthermore, research has identified microplastics in human blood samples, highlighting the presence of these particles in the bloodstream. By measuring chemical concentrations in blood, such as lead, serum cotinine, and persistent organic pollutants, biomonitoring can track exposure trends over time and assess the impact of exposure reduction efforts. Therefore, blood serves as a valuable matrix for biomonitoring microplastic exposure, providing insights into the relationship between environmental exposures, individual health characteristics, and overall well-being.Does amide I/AmideII peak area ration, tell something about alpha helices?

The ratio of the peak areas of the amide I and amide II bands can provide insights into the structural characteristics of alpha helices. Experimental and theoretical studies have shown that variations in this ratio can be indicative of the permittivity of the surrounding medium, the type of alpha-helical structure present, and the solvent exposure of the alpha helix. Specifically, the intensity ratio of the amide I to amide II bands has been found to differ between alpha-helical and 3(10)-helical conformations, with alpha helices showing a dominance of amide I intensity. This ratio can be a useful parameter for discriminating between different helical structures and monitoring structural changes in peptides and proteins.Does ascorbate has an absorption peak at 225 nm in UV-Vis spectroscopy?

Ascorbic acid, or ascorbate, exhibits absorption peaks at various wavelengths in UV-Vis spectroscopy. While it absorbs at around 247 nm in aqueous solution, it shows a peak at 258 nm in methanol: water solvent. Additionally, in cerebrospinal fluid, ascorbic acid has a peak at 264 nm. However, there is no specific mention of an absorption peak at 225 nm in the provided contexts. The absorption peaks mentioned in the contexts are at 247 nm, 258 nm, and 264 nm for ascorbic acid in different solvents and environments. Therefore, based on the data available, there is no direct evidence to suggest an absorption peak for ascorbate at 225 nm in UV-Vis spectroscopy.How does a calculative approach help in understanding and representing prestressed concrete beam bridgebehavior?

A calculative approach aids in comprehending and representing prestressed concrete beam bridge behavior by enabling the modeling of complex structural responses under various loading conditions. Numerical models incorporating material nonlinearities of concrete, reinforcing steel, and prestressing steel provide insights into the mechanical properties and stressing states of bridge elements. Probabilistic structural identification techniques, such as Bayesian inference, utilize deflection data to update state variables associated with creep, rigidity, and loads, enhancing the understanding of structural conditions and potential failure modes. Additionally, statistical inverse methods can estimate stress in pre-stressed concrete beams based on monitored strain, offering a means to assess structural behavior during construction stages. These approaches collectively enhance the understanding and representation of prestressed concrete beam bridge behavior for improved design and assessment.How does strength training impact the performance of soccer players?

Strength training plays a crucial role in enhancing the performance of soccer players across various aspects. Studies have shown that incorporating strength training, including core muscle training and compound training, significantly improves physical conditioning in soccer players. Core strength training has been linked to improved muscle strength characteristics, agility, and explosive power in athletes. Additionally, compound strength training has been found to boost the explosive power of lower limbs, which is vital for soccer performance and competitiveness. Furthermore, specialized strength training interventions have been shown to enhance kicking accuracy and stability in soccer players, emphasizing the importance of physical training in conjunction with skill development. Overall, integrating strength training regimens tailored to specific needs can lead to notable enhancements in soccer players' overall performance levels.Does incorporating proprioceptive and central stabilization training into a physical fitness routine improve overall performance in young soccer players?

Incorporating proprioceptive and central stabilization training into a physical fitness routine has shown to significantly enhance the overall performance of young soccer players. Studies have demonstrated that such training programs lead to improvements in strength, postural balance, agility, and core muscle performance. Specifically, the integration of exercises focusing on eccentric, balance, and core stability has resulted in increased hamstring strength, reduced sway during balance tests, and enhanced core muscle performance, especially in the non-dominant leg. Additionally, proprioceptive training programs have been found to effectively enhance components of fitness, dribbling skills, and postural balance in adolescent soccer players, ultimately contributing to improved athletic performance. Therefore, incorporating proprioceptive and central stabilization training into the fitness routine of young soccer players can lead to notable enhancements in various aspects of their performance.Are there any review papers specifically on remote sensing of river water quality?

Yes, there are review papers focusing on the remote sensing of river water quality. One such review paper discusses the techniques, strengths, and limitations of remote sensing applications for monitoring water quality parameters using various algorithms and sensors, including spaceborne and airborne sensors like those on Sentinel-2A/B and Landsat. Another paper presents a systematic review of water quality prediction through remote sensing approaches, emphasizing the importance of predicting water quality changes and the use of multispectral and hyperspectral data from satellite and airborne imagery for parameter retrieval. Additionally, a study proposes a feature selection method based on machine learning for water quality retrieval in urban rivers using Sentinel-2 remote sensing images, highlighting the effectiveness of the ReliefF-GSA method and specific models like Random Forest regression.What is value proposition?

A value proposition is a fundamental concept that encompasses the perceived overall deal between an employer and an employee, highlighting the rewards and benefits offered in exchange for performance. It serves as a concise and compelling description of the core benefit individuals receive from engaging with a company, emphasizing the unique value or problem-solving aspect that sets it apart from competitors. In the context of startups, value proposition innovation is crucial for success, as it focuses on providing customers with benefits and addressing their needs effectively. Furthermore, the value proposition in the medical field emphasizes the assurance to consumers regarding the service to be delivered, balancing risks and benefits while considering personal goals and aspirations. Overall, a value proposition plays a pivotal role in defining the attractiveness and significance of a product or service to its target audience.What are the optimal values for valid weight and number of swaths in coverage path planning in agriculture?

In coverage path planning for agriculture, optimal values for valid weight and number of swaths play a crucial role in efficient field coverage. Various methods have been proposed to address this issue. One approach involves dividing the agricultural field into convex polygonal areas to distribute them optimally among robots, generating an optimal coverage path for each area, and determining trajectories using motion dynamics. Additionally, the use of heterogeneous UAVs with a moving ground platform has been suggested to reduce flyby costs by 10% compared to traditional methods, emphasizing the importance of considering equipment heterogeneity in planning. Furthermore, methods to compute disturbed soil for different types of vehicles have been explored, showcasing the significance of soil compaction in defining coverage paths in agriculture.