Electronic noses: Forestalling fire disasters: A technique to prevent false fire alarms and fatal casualties

Kanakam, Prathyusha; Hussain, Sajjad; Chakravarthy, A. S. N.

doi:10.1109/iccic.2015.7435629

Cited by 13 publications

(8 citation statements)

References 4 publications

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“…Prathyusha et al purposed an E-Nose Electronic-Natural oil factory sensor emulator's sensor which used high end and state of the art sensors to detect smoke such as carbon dioxide co2 and carbon monoxide. The purposed system differentiates between fire and no fire particles in order to reduce the frequency of false fire alarms; another feature to extinguish the fire is with the help of a built-in fire extinguisher that activates when the sensor is absolute about the presence of fire, as a precaution [21].…”

Section: Related Workmentioning

confidence: 99%

Smart Fire Detection and Deterrent System for Human Savior by Using Internet of Things (IoT)

et al. 2021

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Fire monitoring systems have usually been based on a single sensor such as smoke or flame. These single sensor systems have been unable to distinguish between true and false presence of fire, such as a smoke from a cigarette which might cause the fire alarm to go off. Consuming energy all day long and being dependent on one sensor that might end with false alert is not efficient and environmentally friendly. We need a system that is efficient not only in sensing fire accurately, but we also need a solution which is smart. In order to improve upon the results of existing single sensor systems, our system uses a combination of three sensors to increase the efficiency. The result from the sensor is then analyzed by a specified rule-set using an AI-based fuzzy logic algorithm; defined in the purposed research, our system detects the presence of fire. Our system is designed to make smart decisions based on the situation; it provides feature updated alerts and hardware controls such as enabling a mechanism to start ventilation if the fire is causing suffocation, and also providing water support to minimize the damage. The purposed system keeps updating the management about the current severity of the environment by continually sensing any change in the environment during fire. The purposed system proved to provide accurate results in the entire 15 test performed around different intensities of a fire situation. The simulation work for the SMDD is done using MATLAB and the result of the experiments is satisfactory.

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Section: Related Workmentioning

confidence: 99%

Smart Fire Detection and Deterrent System for Human Savior by Using Internet of Things (IoT)

et al. 2021

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“…In 2017 Vincent Cuzuel [9] developed an approach to discriminate the odor impressions of humans in place of canines in courts of justice. He explained that how to attain the results in forensics by profiling the human odor by evaluating both genetic and physiological with different analytical procedural steps from sample collection to statistical data processing.…”

Section: Related Workmentioning

confidence: 99%

Smell Print CMS-SEN Model for Odor Perception

Kanakam¹,

Chakravarthy²

2021

IJSRCSE

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“…In recent years, with the development of IoT technology, gas sensing has been firmly integrated with smart life and smart industry: (1) Food testing (e.g., predicting the freshness of pork, beef and mutton [1] and detecting the fresh vegetables freezing time [2]); (2) Animal and plant breeding (e.g., determine the time of cow estrus [3] and determining the time of fruit ripening [4]); (3) Air detecting (e.g., detecting ozone content [5] and air quality monitoring [5]); (4) Disease diagnosing (e.g., detecting liver cancer based on breath [6] and detecting gastrointestinal diseases [7]); (5) Industrial field (e.g., oil and gas positioning) [8] and pipeline leak detection [9]; (6) Hazard monitoring (e.g., explosion and toxic gas detection [10], fire warning [11]) etc. Although smart sensing has played a role in life and production, it should be emphasized that there are still many challenges in the development of smart gas sensing corresponding to the various stages of technology mentioned above.…”

Section: Introductionmentioning

confidence: 99%

Review on Smart Gas Sensing Technology

Feng

Farha

et al. 2019

Sensors

225

122

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With the development of the Internet-of-Things (IoT) technology, the applications of gas sensors in the fields of smart homes, wearable devices, and smart mobile terminals have developed by leaps and bounds. In such complex sensing scenarios, the gas sensor shows the defects of cross sensitivity and low selectivity. Therefore, smart gas sensing methods have been proposed to address these issues by adding sensor arrays, signal processing, and machine learning techniques to traditional gas sensing technologies. This review introduces the reader to the overall framework of smart gas sensing technology, including three key points; gas sensor arrays made of different materials, signal processing for drift compensation and feature extraction, and gas pattern recognition including Support Vector Machine (SVM), Artificial Neural Network (ANN), and other techniques. The implementation, evaluation, and comparison of the proposed solutions in each step have been summarized covering most of the relevant recently published studies. This review also highlights the challenges facing smart gas sensing technology represented by repeatability and reusability, circuit integration and miniaturization, and real-time sensing. Besides, the proposed solutions, which show the future directions of smart gas sensing, are explored. Finally, the recommendations for smart gas sensing based on brain-like sensing are provided in this paper.

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Electronic noses: Forestalling fire disasters: A technique to prevent false fire alarms and fatal casualties

Cited by 13 publications

References 4 publications

Smart Fire Detection and Deterrent System for Human Savior by Using Internet of Things (IoT)

Smart Fire Detection and Deterrent System for Human Savior by Using Internet of Things (IoT)

Smell Print CMS-SEN Model for Odor Perception

Review on Smart Gas Sensing Technology

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