Sound fire extinguishers in space stations

Salauddin, Shaik; Nalajala, Paparao; Godavarth, Bhavana

doi:10.1109/iceeot.2016.7755345

Cited by 8 publications

(3 citation statements)

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“…Beisner et al [164] suggested sound wave-based fire elimination research and found that the sound waves at 30.6 Hz are ideal frequency waves for rapidly stopping the flames. Salauddin et al [165] developed a space station fire extinguishing system based on sound waves.…”

Section: Acoustic Wave Fire Detectionmentioning

confidence: 99%

Recent Advances in Sensors for Fire Detection

Khan

Sun

et al. 2022

Sensors

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Fire is indeed one of the major contributing factors to fatalities, property damage, and economic disruption. A large number of fire incidents across the world cause devastation beyond measure and description every year. To minimalize their impacts, the implementation of innovative and effective fire early warning technologies is essential. Despite the fact that research publications on fire detection technology have addressed the issue to some extent, fire detection technology still confronts hurdles in decreasing false alerts, improving sensitivity and dynamic responsibility, and providing protection for costly and complicated installations. In this review, we aim to provide a comprehensive analysis of the current futuristic practices in the context of fire detection and monitoring strategies, with an emphasis on the methods of detecting fire through the continuous monitoring of variables, such as temperature, flame, gaseous content, and smoke, along with their respective benefits and drawbacks, measuring standards, and parameter measurement spans. Current research directions and challenges related to the technology of fire detection and future perspectives on fabricating advanced fire sensors are also provided. We hope such a review can provide inspiration for fire sensor research dedicated to the development of advanced fire detection techniques.

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Section: Acoustic Wave Fire Detectionmentioning

confidence: 99%

Recent Advances in Sensors for Fire Detection

Khan

Sun

et al. 2022

Sensors

View full text Add to dashboard Cite

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“…Then a rough estimate of depth map was obtained by applying a maximum filter to the pixel blurriness map assuming depth was uniform among local patches. Then morphological operations along with guided filter were used to refine the depth map thus obtained [21]. The refined map was finally utilized in the IFM (image formation model) to get the enhanced output.…”

Section: Literature Reviewmentioning

confidence: 99%

Compare various Circuits Area Reduction using Genetic Algorithm and Hybrid Partitioning Algorithm

2019

IJATCSE

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Images taken underwater usually do not possess visual quality because of degradation in visibility. The propagated light from object to the camera undergoes attenuation and scattering before reaching the camera. Hence the images suffer from blurriness and lack of contrast. These effects which degrade the visibility of underwater images can be called as haze. The haze formation in images taken underwater is mainly due to water turbidity and the differential scattering of light by suspended particles in water. Also due to the selective absorption of color components of light by the medium, images suffer from color imbalance which causes one particular color to dominate among others. In the past few years, many approaches were put forwarded to developvisibility of underwater pictures by removing haze and some color correction techniques are introduced to improve the perception of underwater images. This manuscript is a review on various approaches for under water image enhancement over the last few years.

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“…If a portion scientists trust that a multi determination plan can be also build those catch reach for there is less propensity should a chance to be trapped over neighborhood minima [4], our analyses demonstrate that those catch range may be still not adequate particularly done easier determination enrollment. This may be underpinned via the decision drawn previously, [5], I. E. The trust that a multi determination approaches to matching might a chance to be superior prepared to stay away from nearby optima appears to be unwarranted. That Factual connection of picture intensities that MI measures have a tendency will decrease when those image resolution decreases.…”

Section: Introductionmentioning

confidence: 99%

Image Registration of Multi Model Enrollment using Mutual Information Technique

2019

IJATCSE

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This model has distinctive modalities might be attained by the expansion about suitableness statistical comparability measures inside geometric transformations. The required works are less delicate to low sampling resolution, don't hold inaccurate worldwide maxima which would now discovered in the shared data. This paper proposes a novel and direct multi modal picture enrollment system In view of common information, to which two matching criteria are utilized. It need been extensively demonstrated that measurements dependent upon those assessment of common data are great suiting for overcoming the challenges about multi-modality enrollment.

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Sound fire extinguishers in space stations

Cited by 8 publications

References 0 publications

Recent Advances in Sensors for Fire Detection

Recent Advances in Sensors for Fire Detection

Compare various Circuits Area Reduction using Genetic Algorithm and Hybrid Partitioning Algorithm

Image Registration of Multi Model Enrollment using Mutual Information Technique

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