Academic literature on the topic 'Fire alarm sensors'

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Journal articles on the topic "Fire alarm sensors"

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rajendra rao shinde, Rajshree, Shruti Sable, Kartik masalkar, et al. "HOSPITAL EMERGENCY SECURITY SYSTEM." International Journal of Engineering Applied Sciences and Technology 7, no. 1 (2022): 264–67. http://dx.doi.org/10.33564/ijeast.2022.v07i01.038.

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The fire detection system combines the simultaneous measurements of smoke, carbon monoxide, and carbon dioxide. The security of campus against intruders moving in laboratories, class rooms, staffrooms or washrooms. The fire alarm system consists of Fire detectors (with can be smoke detector, heat, or Infra-Red detectors), control unit and alarm system. A fire detection system is developed based on the simultaneous measurements of temperature and smoke. The fire detection system with the alarm algorithm detected fires that were not alarmed by smoke sensors, and alarmed in shorter times than smo
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Kalina Szafarczyk. "Reducing the Multi-Sensor Smoke Detectors Susceptibility to False Triggering." SAFETY & FIRE TECHNOLOGY 60, no. 2 (2022): 164–74. http://dx.doi.org/10.12845/sft.60.2.2022.9;.

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Cel: An assessment of the possibility of reducing the susceptibility of fire detectors to false alarms was carried out by: 1) analysing the impact of changing the operating modes of a multi-sensor detector on minimizing false alarms, and 2) verifying, using ANOVA tests, two hypotheses: either the settings or the sensitivity of the sensor affect the susceptibility of the detectors to false alarms. Projekt i metody: In order to assess the impact of false alarms on the operation of facilities equipped with a Fire Alarm System, a survey was conducted, directed at their administrators. A study of t
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Zafar, Raheel, Shah Zaib, and Muhammad Asif. "False Fire Alarm Detection Using Data Mining Techniques." International Journal of Decision Support System Technology 12, no. 4 (2020): 21–35. http://dx.doi.org/10.4018/ijdsst.2020100102.

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In the era of smart home technology, early warning systems and emergency services are inevitable. To make smart homes safer, early fire alarm systems can play a significant role. Smart homes usually utilize communication, sensors, actuators, and other technologies to provide a safe and smart environment. This research work introduced a model for the fire alarm system and designed a fire alarm detection (FAD) simulator to produce a synthetic dataset. The designed simulator utilizes a variety of sensors (temperature, gas, and humidity) to simulate fire alarm scenarios based on real-world data. T
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Choi, Su-Gil, Yoo-Jeong Choi, and Si-Kuk Kim. "Study on the Application of Carbon Monoxide Sensors for the Prevention of Unwanted Alarms." Fire Science and Engineering 37, no. 1 (2023): 57–69. http://dx.doi.org/10.7731/kifse.e6b85d68.

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This study analyzed the applicability of CO sensors through UL 268 unwanted alarm tests and real-scale unwanted alarm verification tests tailored to the domestic format. A comprehensive literature review indicated that the UL 268 fire test and the cooking nuisance test results revealed the fire-detection concentration and unwanted alarm concentration of CO and suggested that a real fire can be detected if the concentration of CO is above 17 ppm. Accordingly, during the pork belly and mackerel cooking events, which triggers frequent unwanted alarms in domestic multi-unit dwellings, the UL 268 d
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Suryansh Devasthali, Smarak Mishra, 1Suryansh Saha, Sweekruthi S., Dr. Pavithra G, and Dr. T.C.Manjunath. "Industrial Fire Detector Using Colour Detection and Tracking." international journal of engineering technology and management sciences 7, no. 4 (2023): 1–5. http://dx.doi.org/10.46647/ijetms.2023.v07i04.001.

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Conventional fire detection systems use physical sensors to detect fire. Chemical properties of particles in the air are acquired by sensors and are used by conventional fire detection systems to raise an alarm. However, this can also cause false alarms; for example, a person smoking in a room may trigger a typical fire alarm system. In order to manage false alarms of conventional fire detection systems, a computer vision-based fire detection algorithm is proposed in this paper. The proposed fire detection algorithm consists of two main parts: fire color modeling and motion detection. The algo
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Tejaswi, Ms G., Rodda Bhavani, Sarvepalli Srihitha, Shaik Arshiha, and Raja Venkata Sathya Sarayu. "PREDICTING FIRE ALARMS USING MULTI SENSOR DATA: A BINARY CLASSIFICATION APPROACH." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 15, no. 1 (2024): 242–55. http://dx.doi.org/10.61841/turcomat.v15i1.14617.

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Fires pose significant threats to human life, property, and the environment. Early detection of fire incidents is crucial to prevent extensive damage and to ensure the safety of occupants. Traditional fire alarm systems typically rely on a single type of sensor, such as smoke detectors or heat sensors, to detect specific fire indicators. These systems operate based on predefined thresholds and triggers. However, they can be prone to false alarms triggered by non-fire-related events (e.g., cooking fumes or dust) and may not provide early warning signs in certain scenarios. To address these limi
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Zheng, Jun Hui, and Bing Li. "Fire Seat Intelligent Identification System." Applied Mechanics and Materials 536-537 (April 2014): 421–25. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.421.

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Current fire alarm system can only send fire alarms but failed to report accurately ignition point. So a fire seat intelligent identification system was designed based on wireless sensor networks. The system collects data from wireless sensors using ZigBee wireless communication technology, and carries on cluster analysis on the data set using the improved fuzzy kernel clustering algorithm, and gets accurate clustering results. Finally the ignition source location information is reported to the fire alarm control center. The experimental results show that, compared with other methods, this sys
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Muharam, Mumuh, Melda Latif, Baharuddin Baharuddin, and Ibnum Richaflor. "Pencegahan Kesalahan Alarm dalam Sistem Pendeteksi Dini Kebakan dan Pemadaman Berbasis Internet of Things." JITCE (Journal of Information Technology and Computer Engineering) 4, no. 02 (2020): 53–62. http://dx.doi.org/10.25077/jitce.4.02.53-62.2020.

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 False alarm in fire detection can cause a huge loss. False alarm is generated by unwanted signal of smoke detector such as outdoor smoke or smoking. Therefore, it is designed a system that can reduce false alarm. The purposed system is built based on three components, those are sensors, actuators and data communication. Sensors are smoke, flame and camera sensor. Smoke sensor is used as the first thing to sense a signal from the system that warns the system there is a fire. Flame sensor and camera are used to confirm that a signal of fire whether false alarm or not.
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Enjel Rosiana and Mohammad Fatkhurrokhman. "Analisis Cara Kerja Fire Alarm System di Gedung Nusantara I DPR RI." Jurnal Penelitian Rumpun Ilmu Teknik 2, no. 4 (2023): 11–26. http://dx.doi.org/10.55606/juprit.v2i4.2767.

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A fire alarm system is an automatic early detection system for the danger of fire by looking at the stages of changes in surrounding environmental conditions before fire or smoke triggers a fire. The way a fire alarm works is as a fire detection system used in buildings, the fire system uses conventional fire detection sensors such as smoke sensors or heat sensors. These sensors are placed in various locations within the building, depending on the need and type of hazard to be detected. Research into how fire alarms work is carried out to improve public safety. Fire alarm systems are a key com
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Li, Guo Xin, Fei Lao, Bing Quan Huo, and Long Cheng. "Design of Fire Alarm System in Laboratory." Advanced Materials Research 912-914 (April 2014): 1232–35. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1232.

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Fire warning is a matter of concern in laboratory, this paper presents the design of distributed sensors fire warning system. The core idea is that a number of the bottom sensor collection terminals that consists of temperature and smoking sensors are evenly distributed in the laboratory; when there is a fire to happen, the bottom sensor collection terminals will send an alarming signal by the way of wireless communication to the middle layer alarming signal collection terminal, which starts a GPRS module to capture the scene and send the image to the senior monitoring management center. The s
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Dissertations / Theses on the topic "Fire alarm sensors"

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Curva, José Pedro Marques. "Infrared Fire Alarm for Vehicle Protection." Master's thesis, 2019. http://hdl.handle.net/10362/87367.

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The occurrence of wildfires is a matter of preoccupation, specially in Portugal. In those disasters, many fire fighters are deployed to try put out the flames. However, when driving to the fire or away from it, the vehicles carrying the fire fighters might be in a dangerous situation, whether it is from being surrounded by flames or because of a drop in the levels of oxygen. The aftermath of the wildfires is also a focal point, since it’s hard for the fire fighters to verify its perimeter looking for possible reignition points. To overcome these problems, two modules were created. The fi
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CHEN, SSU-HAN, and 陳思翰. "Addressable Fire Alarm System Hardware Fault-Tolerant and Sensor Properties Evaluation." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/39080799296244986200.

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碩士<br>健行科技大學<br>土木工程系空間資訊與防災科技碩士班<br>104<br>This study for addressable fire alarm system hardware fault-tolerant and sensor properties evaluation discuss with three types: (1)heat radiation sensor, (2)smoke detector, (3) Flame detector. According to the relative regulations of firefight department and environment factors in Taiwan, this paper creates some commons for variations of the sensors location, sensitivity and stability. Research results will combine the building information modeling technique to introduce imagination application, disaster management system, and improve the performance
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Martins, Gilberto Carlos da Costa. "Caracterização Experimental de Detetores de Incêndio." Master's thesis, 2013. http://hdl.handle.net/10316/40392.

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Book chapters on the topic "Fire alarm sensors"

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Li, Lili, Hao Luo, He Qi, and Feiyu Wang. "Sensor Fault Diagnosis Method of Bridge Monitoring System Based on FS-LSTM." In Advances in Frontier Research on Engineering Structures. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8657-4_44.

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AbstractAn improved long-short-term memory neural network (FS-LSTM) fault diagnosis method is proposed based on the problems of damage false alarm, data of health monitoring system incorrect caused by sensor fault in bridge structure health monitoring system. The method is verified by simulating three-span continuous beams to install several sensors and considering the five failures of one sensor, the faults such as: constant, gain, bias, gain linearity bias, and noise. At first, several pieces of white noise data are randomly generated, and each piece of white noise data is applied as a groun
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Kassim, A. M., M. M. Roslan, S. Sahak, et al. "Performance Evaluation of Intelligent Fire Alarm System with Multi Data Fusion Sensor by Using IoT Platform." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8954-3_20.

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Veerapathiran, Neethidevan, and Anand S. "Reducing False Alarms in Vision-Based Fire Detection." In Applied Video Processing in Surveillance and Monitoring Systems. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1022-2.ch012.

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Computer vision techniques are mainly used now a days to detect the fire. There are also many challenges in trying whether the region detected as fire is actually a fire this is perhaps mainly because the color of fire can range from red yellow to almost white. So fire region cannot be detected only by a single feature and many other features (i.e.) color have to be taken into consideration. Early warning and instantaneous responses are the preventing ideas to avoid losses affecting environment as well as human causalities. Conventional fire detection systems use physical sensors to detect fir
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Cheng, Reynold, and Sunil Prabhakar. "Sensors, Uncertainty Models, and Probabilistic Queries." In Encyclopedia of Database Technologies and Applications. IGI Global, 2005. http://dx.doi.org/10.4018/978-1-59140-560-3.ch101.

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Sensors are often used to monitor the status of an environment continuously. The sensor readings are reported to the application for making decisions and answering user queries. For example, a fire alarm system in a building employs temperature sensors to detect any abrupt change in temperature. An aircraft is equipped with sensors to track wind speed, and radars are used to report the aircraft’s location to a military application. These applications usually include a database or server to which the sensor readings are sent. Limited network bandwidth and battery power imply that it is often no
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Guo, Zhicheng, Junmei Li, Cheng Hu, Yanfeng Li, Zhihe Su, and Desheng Xu. "Comparative Analysis on Performance of Different Fire Detectors in Utility Cable Tunnel." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde231153.

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In order to compare performance of different fire detection systems commonly used in urban utility tunnel, several types of fire detectors were selected to test by setting up a fire experimental bench to record the response time of detectors. In the experiment, ceramic tube electric heating and alcohol ignition were used to ignite the cable respectively so that fire detectors in the cable tunnel could give an alarm. Results show that contact-type linear temperature sensor has the fastest alarm time for ceramic tube electric heating method. The cable line-type rate-of-rise and fixed temperature
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R. Bhuvaneswari, Mrs. "DESIGN AND PROTOTYPING OF SENSOR-BASEDANTI-THEFT SECURITY SYSTEM USING MICROCONTROLLER." In Futuristic Trends in IOT Volume 3 Book 2. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3biio2ch26.

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To address the safety of the home or other facility, a microcontroller-based solar-powered anti-theft automated security system is developed with arrays of sensors to detect possible intrusion incidents. The designed system produces three kinds of alarms (Buzzer, bi-color LED, and SMS) with a security breach notification through an LCD, based on the data from its interfaced sensors (Motion Sensor, Fire Sensor, and Glass-break Sensor). The controller used to control all aspects of the system is Atmega8. A Light Depended Resistor (LDR) and a Potentiometer (POT) are used to build the Motion Senso
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Noureddine, Houache, and Kechar Bouabdellah. "Using Wireless Multimedia Sensor Networks to Enhance Early Forest Fire Detection." In Research Anthology on Ecosystem Conservation and Preserving Biodiversity. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5678-1.ch013.

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In the present paper, the authors present the design, the development and field experiment of a forest fire detection system based on Wireless Multimedia Sensor Networks (WMSN) technology using a real test-bed. This system is an extension of their previous work presented in (Bouabdellah, Noureddine, &amp; Larbi, 2013). The latter is based on mono modal approach (only scalar sensors were considered for data sensing), by adopting a new multimodal and cooperative approach in which it added the acquisition of much richer information using the image sensor in order to minimize false alarms that rep
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Bato, Pancress Eddie, Norfaradilla Wahid, and Nur Liesa Mohammad Azemi. "Prototype of the Multi-Points IoT-Based Heat and Smoke Monitoring for Open Sites." In Emerging Technologies in Digital Manufacturing and Smart Factories. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-0920-9.ch007.

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Public awareness is one of the most neglected causes of fire. To ensure the security of the premises and its clients, the crucial highlights rely upon the fire precautionary measure framework and hardware which ought to accord the standard necessities. This also means that the fire safety precautions also need to be taken in an open site working space. This application with all means is to operate a portable fire alarm and monitoring system built using IoT in order to provide fire safety to open site working space. The prototype is developed using the Arduino IDE, Android Studio, PyCharm, and
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"Motion Detectors." In Advances in Multimedia and Interactive Technologies. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4896-8.ch023.

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The first five sections represent the foundation and offer various intelligent algorithms that are the basics for motion detectors and their realization. There are two classes of security system alarm triggers: physical motion sensor and visual motion sensors. Both analog motion detectors and digital motion detectors belong to the group of visual motion sensors. Digital motion detector systems should differentiate between activities that are acceptable and those that breach security. When security-breaching acts occur, the system should identify the individuals and instruct security personnel
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Weber-Lewerenz, Bianca Christina. "Technological Dream or Safety Traumata?" In Advances in Civil and Industrial Engineering. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3833-6.ch007.

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The new living and urban worlds of tomorrow and the sustainable design of space and society require even more efficiency, comfort, and security. Technological progress and safe design of smart cities can only be achieved with the help of a will to innovate and technical know-how of the partnering network constituting the building project team. Digital twins, AI, machine learning, deep learning, intelligent sensor systems, intelligent networking between buildings, artificial intelligence of things, clouds represent highly efficient technologies to both optimize fire safety and fire protection a
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Conference papers on the topic "Fire alarm sensors"

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Adjaye, Aboagye Isaac, Denteh Aboagye Grace, Botchway Papa Kojo, et al. "Designing a Home Management System using Sensors, Fire alarms, and Monitoring devices." In 2024 IEEE 9th International Conference on Adaptive Science and Technology (ICAST). IEEE, 2024. https://doi.org/10.1109/icast61769.2024.10856511.

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Geniza, Yzagany Ivarra B., and Ramon G. Garcia. "Wireless Sensor Network-Based Semi-Addressable Fire Detection and Alarm System with Zone Loop Short and Open Circuit Detection." In 2024 International Conference on Electrical, Communication and Computer Engineering (ICECCE). IEEE, 2024. https://doi.org/10.1109/icecce63537.2024.10823583.

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Silverman, Seth A., and Larry Barker. "Cost Effective Seawater Injection Tubing Metallurgy for Deepwater Projects." In CORROSION 2016. NACE International, 2016. https://doi.org/10.5006/c2016-07067.

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Abstract The use of high strength American Petroleum Institute (API)(1) 5CT Q-125 Type 1 Cr-Mo steel tubing is planned for treated seawater injection wells for several deepwater projects. The API 5CT Q-125 Type 1 Cr-Mo steel tubing offers multimillion dollar savings per well, compared to the widely used Super Duplex 25 Cr (Unified Numbering system [UNS](2) S32760) tubing. Holding oxygen levels at an average of 10 ppb, with alarm and shut-in levels of 40 ppb, will maintain corrosion rates at an acceptable level for the life of the field. Several field case histories will be presented from opera
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Jimin Cheon, Inhee Lee, Jeonghwan Lee, Youngcheol Chae, Gunhee Han, and Youngsin Yoo. "An analog front-end of a fire detection SoC for a fire alarm system." In 2008 IEEE Sensors. IEEE, 2008. http://dx.doi.org/10.1109/icsens.2008.4716555.

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Wu, H. J., S. S. Li, X. L. Lu, Y. Wu, and Y. J. Rao. "A cost effective FBG-based security fence with fire alarm function." In Asia Pacific Optical Sensors Conference, edited by John Canning and Gangding Peng. SPIE, 2012. http://dx.doi.org/10.1117/12.914038.

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Zhu, Hui, Zhen Lu, Jin He, and Yaoyao Zhu. "Automotive fire alarm system based on multi-sensor fusion." In Fourth International Conference on Sensors and Information Technology (ICSI 2024), edited by Zhongpan Qiu and Lijun Wu. SPIE, 2024. http://dx.doi.org/10.1117/12.3029223.

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Hayashi, Yumi, Yosuke Akimoto, Naoki Hiramatsu, et al. "Smoldering Fire Detection Using Low-Power Capacitive MEMS Hydrogen Sensor for Future Fire Alarm." In 2021 21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers). IEEE, 2021. http://dx.doi.org/10.1109/transducers50396.2021.9495582.

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Zhang, Fuqiang, Zerong Yang, Ting Li, Yue Jia, Dan Zhou, and Luyao Xie. "Design of automatic fire alarm system for offshore wind farm." In International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI), edited by Xuexia Ye, Wei Wei, and Yang Yue. SPIE, 2022. http://dx.doi.org/10.1117/12.2640067.

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Qiu, Jinshui, and Boyun Liu. "Failure Detection of Fire Alarm Sensors Based on Information Fusion." In 2009 Second International Symposium on Knowledge Acquisition and Modeling. IEEE, 2009. http://dx.doi.org/10.1109/kam.2009.135.

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Montoya, Joseph Rudy, Jorge Melchor, Venu Siddapureddy, and Darryl Bryk. "A Novel Approach for a Hostile Arms Fire Sensor." In 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium. National Defense Industrial Association, 2024. http://dx.doi.org/10.4271/2024-01-3248.

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&lt;title&gt;ABSTRACT&lt;/title&gt; &lt;p&gt;A novel approach to sensing hostile arms fire has been developed at the US Army Research Laboratory (ARL). Utilizing the multispectral properties of the electromagnetic spectrum the sensor methodology has been tested very successfully in detecting point of origin of various types of arms fire. In-theatre travel in caravans has drawn enemy fire and urban settings have sometimes made it difficult to discern point of origin. This new multispectral methodology may overcome false alarm problems that can plague other types of sensors. Recently, the US Arm
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Reports on the topic "Fire alarm sensors"

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Apps, Christopher, and Tyler Johnson. PR244-173902-R01 On-water Leak Detection System Evaluation. Pipeline Research Council International, Inc. (PRCI), 2018. http://dx.doi.org/10.55274/r0011504.

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The hydrocarbon industry is directing efforts towards reducing the environmental impact of operation through improving pipeline performance and addressing evolving regulatory requirements. As a result, many different external leak detection technologies have been recently developed; however, it is challenging to test these systems with real hydrocarbon products. The research project described herein evaluated the performance of six external leak detection systems intended to identify the presence of hydrocarbon products on the surface of water. The scope was limited to an idealized freshwater
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