Relevant bibliographies by topics / Smart sensors

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Smart sensors'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 June 2025

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Journal articles on the topic "Smart sensors"

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Himani, Rawat, and Pathak Yugal. "Smart Sensors: Analyzing Efficiency of Smart Sensors in Public Domain." International Journal of Engineering and Management Research 9, no. 5 (2019): 104–11. https://doi.org/10.31033/ijemr.9.5.15.

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The paper gives the brief idea of smart sensors, structure and its application. Smart sensor as compare to other sensors can sensor anything with the special computing devices connected with each other in sensor network. These smart sensors first convert the digital signals to analog signals and then communicate the message to the device. Now a days smart sensors are used almost everywhere around us but very few people know its working and future applications. So here is a small review on smart sensors. This paper will help you gain knowledge and its applications in daily life.
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Chen, Junru. "Flexible Pressure Sensors and Their Applications." Highlights in Science, Engineering and Technology 44 (April 13, 2023): 54–60. http://dx.doi.org/10.54097/hset.v44i.7193.

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The application of flexible pressure sensor is a new type of pressure sensor based on new materials prepared by a nano process. It differs from conventional pressure sensors due to its good flexibility, free bending, small thickness, high sensitivity, and ease of mass production, and is particularly suited for measuring soft surface contact stress. It has several potential applications in smart homes, smart medicine, wearable gadgets, and other domains. The microstructure can not only increase the sensor's sensitivity, but it can also recover the sensor's elastic deformation more quickly, so it has a swift duty. The capacitive flexible pressure sensor will be introduced first, followed by the resistive pressure sensor, and then their practical applications will be discussed. This paper's research will contribute significantly to the study and implementation of flexible pressure sensors. It will contribute significantly to the study and application of flexible pressure sensors.
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Alonso, Monica, Hortensia Amaris, Daniel Alcala, and Diana M. Florez R. "Smart Sensors for Smart Grid Reliability." Sensors 20, no. 8 (2020): 2187. http://dx.doi.org/10.3390/s20082187.

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Sensors for monitoring electrical parameters over an entire electricity network infrastructure play a fundamental role in protecting smart grids and improving the network’s energy efficiency. When a short circuit takes place in a smart grid it has to be sensed as soon as possible to reduce its fault duration along the network and to reduce damage to the electricity infrastructure as well as personal injuries. Existing protection devices, which are used to sense the fault, range from classic analog electro-mechanics relays to modern intelligent electronic devices (IEDs). However, both types of devices have fixed adjustment settings (offline stage) and do not provide any coordination among them under real-time operation. In this paper, a new smart sensor is developed that offers the capability to update its adjustment settings during real-time operation, in coordination with the rest of the smart sensors spread over the network. The proposed sensor and the coordinated protection scheme were tested in a standard smart grid (IEEE 34-bus test system) under different short circuit scenarios and renewable energy penetration. Results suggest that the short-circuit fault sensed by the smart sensor is improved up to 80% and up to 64% compared with analog electromechanics relays and IEDs, respectively.
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Bas, Joan, Taposhree Dutta, Ignacio Llamas Garro, Jesús Salvador Velázquez-González, Rakesh Dubey, and Satyendra K. Mishra. "Embedded Sensors with 3D Printing Technology: Review." Sensors 24, no. 6 (2024): 1955. http://dx.doi.org/10.3390/s24061955.

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Embedded sensors (ESs) are used in smart materials to enable continuous and permanent measurements of their structural integrity, while sensing technology involves developing sensors, sensory systems, or smart materials that monitor a wide range of properties of materials. Incorporating 3D-printed sensors into hosting structures has grown in popularity because of improved assembly processes, reduced system complexity, and lower fabrication costs. 3D-printed sensors can be embedded into structures and attached to surfaces through two methods: attaching to surfaces or embedding in 3D-printed sensors. We discussed various additive manufacturing techniques for fabricating sensors in this review. We also discussed the many strategies for manufacturing sensors using additive manufacturing, as well as how sensors are integrated into the manufacturing process. The review also explained the fundamental mechanisms used in sensors and their applications. The study demonstrated that embedded 3D printing sensors facilitate the development of additive sensor materials for smart goods and the Internet of Things.
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Boutora, Saliha, and Lina Dellili. "Smart grid reliability improvement using smart sensors." STUDIES IN ENGINEERING AND EXACT SCIENCES 5, no. 3 (2024): e12374. https://doi.org/10.54021/seesv5n3-010.

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This study investigates the enhancement of reliability in smart grids through the implementation of a novel protective device, a relay-based smart sensor. The smart grid introduces unique challenges for security systems, such as bidirectional energy flow, variable fault currents, and increased vulnerability due to distributed generation. Traditional protective relays, while essential in legacy systems, often fall short in addressing these complexities. Smart sensors, on the other hand, offer advanced capabilities by integrating sensing devices, signal processors, and microprocessors into a single unit capable of real-time data processing and communication. Using Fault Tree Analysis (FTA), the reliability of smart sensors in a decentralized grid was analyzed and compared to traditional relays. Various subsystems, including photovoltaic and wind turbine setups, were examined to assess system dependability. The results demonstrate a significant reliability improvement when using smart sensors, achieving a reliability score of 0.881 compared to 0.669 for traditional relays. This highlights the transformative potential of smart sensors in enhancing network protection and mitigating risks. The study underscores the necessity of adopting innovative technologies to address the evolving demands of smart grid systems. Future work could explore more complex fault trees and external factors impacting microgrid performance.
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Mehetre, Rahul. "Smart Agriculture Monitoring System." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 604–8. http://dx.doi.org/10.22214/ijraset.2023.53655.

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Abstract: In this morden industry remote monitoring and controlling equipment at farm from a long distance is challenging now a days. At present we are able to control the equipment with the help of smartphones using IOT. This paper presents a novel of smart agriculture system using ATmega328P with global connection using Internet of Things (IOT). Internet of Thing (IOT) plays a important role in smart agriculture system. Smart agriculture helps to reduce the farmers work. It works automatically or farmer can operate it from anywhere. Smart agriculture monitoring system used wireless sensor network that collect all live information from different sensors and send that data through wireless protocol. Sensors that are used in system provides information about agriculture field. This project is developed to monitor crop-field using sensors (Soil Moisture Sensor, Rain Sensor, Temperature and Humidity Sensor).
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Doke, Arnav, and Akhilesh Awate. "Smart Sensors and their Applications in IoT." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (2022): 2370–74. http://dx.doi.org/10.22214/ijraset.2022.41138.

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Abstract: Smart sensors have a significant role to play in the Modern Era. Sensors play a vital role for effective functioning of Internet of Things (IOT) systems as they play the key role of data collection. Sensor should be Robust, Reliable, Accurate, Precise, and sensitive and for IoT specific application they should also exhibit remote operating characteristics. Emerging technologies like IoT, ML, etc. demand sensors that can be used for smart applications. In IoT, objects are equipped with sensors, actuators and are inter connected with computing systems. This enables the data collection on the basis of which optimized decisions can be taken. The shift towards smart systems is of paramount importance as they show significant increase in efficiency and have contributed towards safe and sustainable solutions. The way to increase the efficiency of IoT Enabled Systems is not only to use new generation sensors but also to implement them in a more efficient and effective manner. This paper shows how IoT is benefitting from advancements in sensor technology. In this paper we will be focussing on sensors and its types with an IoT oriented Application. Keywords: Smart Sensors; Internet of Things; Infrared Sensor; Pressure Sensor; Temperature Sensor; Proximity Sensor; Humidity Sensor; Gyroscope Sensor.
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Maisha Putra, I. Gusti Agung Ngurah, I. Kadek Andika Pranata, Ni Made Paramitha Sekar Putri A.P., et al. "PENERAPAN SENSOR CJMCU101 UNTUK MENDUKUNG SISTEM SMART LECTURE ROOM." Jurnal SPEKTRUM 10, no. 4 (2023): 177. http://dx.doi.org/10.24843/spektrum.2023.v10.i04.p22.

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This study presents the design of a Smart Lecture Room system that utilizes light intensity sensors, specifically CJMCU101. These sensors are installed in each classroom to monitor the ambient conditions. The implementation of the designed system was carried out in the classrooms of the Udayana University Electrical Engineering Study Program. To achieve this goal, the classroom utilized by the Electrical Engineering Study Program of Udayana University was divided into two classes (DH101 and DH102) and a sensor was installed in each class as an IoT device. The IoT devices are connected to a Raspberry Pi Access Point, where the data from the sensors is stored and monitored using the Thinger.io platform. The validation of the sensor testing is carried out by comparing the results obtained from the sensors with the results obtained from a thermohygrometer measurement. This research produces a prototype smart lecture system, applied to a classroom mockup, that employs IoT devices, sensor databases, and sensor monitoring. The data from each sensor's detection is stored in the LAMP database, which employs Linux, Apache, MySQL, and PHP. The Thinger.io platform monitors the values of each sensor. A variation in accuracy between the sensor and measuring instrument results in a difference in their values. The CJMCU101 light intensity sensor has an average accuracy of 93.48% compared to the measuring instrument on DH101. The average accuracy of the sensor value compared to the measuring instrument on DH102 is 95.96%.
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Mulloni, Viviana, Giada Marchi, Andrea Gaiardo, Matteo Valt, Massimo Donelli, and Leandro Lorenzelli. "Applications of Chipless RFID Humidity Sensors to Smart Packaging Solutions." Sensors 24, no. 9 (2024): 2879. http://dx.doi.org/10.3390/s24092879.

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Packaging solutions have recently evolved to become smart and intelligent thanks to technologies such as RFID tracking and communication systems, but the integration of sensing functionality in these systems is still under active development. In this paper, chipless RFID humidity sensors suitable for smart packaging are proposed together with a novel strategy to tune their performances and their operating range. The sensors are flexible, fast, low-cost and easy to fabricate and can be read wirelessly. The sensitivity and the humidity range where they can be used are adjustable by changing one of the sensor’s structural parameters. Moreover, these sensors are proposed as double parameter sensors, using both the frequency shift and the intensity variation of the resonance peak for the measure of the relative humidity. The results show that the sensitivity can vary remarkably among the sensors proposed, together with the operative range. The sensor suitability in two specific smart packaging applications is discussed. In the first case, a threshold sensor in the low-humidity range for package integrity verification is analyzed, and in the second case, a more complex measurement of humidity in non-hermetic packages is investigated. The discussion shows that the sensor configuration can easily be adapted to the different application needs.
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Betts, B. "Smart Sensors." IEEE Spectrum 43, no. 4 (2006): 50–53. http://dx.doi.org/10.1109/mspec.2006.1611760.

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Dissertations / Theses on the topic "Smart sensors"

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Fernandes, Hugo Manuel Espinho Lebre. "Acoustic smart sensors." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/22734.

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Mestrado em Engenharia Eletrónica e Telecomunicações<br>Nowadays buildings are being progressively integrated with an increasing number of sensors . Most of the times this sensors have quite speci c functions, butane sensors, propane sensors, carbon monoxide sensors, pyroelectric motion sensors, and this is what limits their eld of action. Introducing a certain level of autonomy to a sensor, i.e., send, process and receiving information can increase the interactivity and market attractiveness of a building. Within this point of view, and over-viewing the building conjuncture, it can be concluded that smart sensors will be installed during the construction, in recently constructed buildings, but also in buildings with several years which commonly have an physical electric network. This implies that this type of units will need to have an option to be retro tted and, to a certain degree, a simple installation. In this thesis, it is proposed the creation of an integrated solution using the wall of a room as a human interface. This system can establish communication with the gateway of a smart home using a previous researched, e cient and safe wireless protocol. Once the connection is established the gateway can execute a large variety of functions that can be programmed in the home central unit (gateway). The thesis hereby presented consists in a study of wireless communication protocols with respect to reliability, safety and practicality and in the research of the fusion between sensors, processing ability and communication interfaces with the intent of producing a prototype.<br>As habitações actuais são incorporadas com uma variedade cada vez mais vasta de sensores e actuadores. Estes sensores, na maioria das situações, tem uma função bastante especifica, sensores de gás butano, sensores de gás propano, sensores de monóxido de carbono, sensores piroeletricos. Através da introdução de autonomia a cada um destes sensores, nomeadamente, enviar, processar e receber informação, e possível tornar uma habitação num centro de partilha de informações fulcrais, acessível a partir de qualquer ponto. Nesta perspectiva, analisando a conjuntura habitacional deduz-se rapidamente que a aplicação de sensores inteligentes nao poderá ser feita apenas em novas habitações mas também terá que ser implementada em habitações que já possuem uma rede eléctrica implementada. Isto implica desde logo, que este tipo de equipamentos possam ser adaptados a redes que estão em utilização (retrotting) e que sejam de fácil acesso durante a instalação e manutenção. Desta forma entram em cena os protocolos de comunicação sem fios. Estes permitem nao somente a interligação dos sensores inteligentes (sensor, processador, interface de comunicação), mas também a sua ligação a actuadores e a interfaces pessoa-máquina, sem se por a necessidade de alterações físicas das habitações. A criação de uma soluçao integradora, utilizando a parede de uma habitação como interface humana e apresentada ao longo deste documento. Este sistema comunica com o gateway de uma casa inteligente utilizando a tecnologia wireless que será estudada e definida como a mais eficiente e segura. Uma vez interligada com o gateway poderá efectuar um conjunto vasto de operações, que estarão definidas no processador da unidade central da casa. A dissertação aqui apresentada consiste na analise de protocolos de comunicação wireless, e na concepção de um sistema de interface humana embutido nas paredes de edifícios habitacionais.
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Bartolini, Sara <1980&gt. "Smart Sensors For Interoperable Smart Environment." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amsdottorato.unibo.it/2576/1/Bartolini_Sara_tesi.pdf.

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Smart Environments are currently considered a key factor to connect the physical world with the information world. A Smart Environment can be defined as the combination of a physical environment, an infrastructure for data management (called Smart Space), a collection of embedded systems gathering heterogeneous data from the environment and a connectivity solution to convey these data to the Smart Space. With this vision, any application which takes advantages from the environment could be devised, without the need to directly access to it, since all information are stored in the Smart Space in a interoperable format. Moreover, according to this vision, for each entity populating the physical environment, i.e. users, objects, devices, environments, the following questions can be arise: “Who?”, i.e. which are the entities that should be identified? “Where?” i.e. where are such entities located in physical space? and “What?” i.e. which attributes and properties of the entities should be stored in the Smart Space in machine understandable format, in the sense that its meaning has to be explicitly defined and all the data should be linked together in order to be automatically retrieved by interoperable applications. Starting from this the location detection is a necessary step in the creation of Smart Environments. If the addressed entity is a user and the environment a generic environment, a meaningful way to assign the position, is through a Pedestrian Tracking System. In this work two solution for these type of system are proposed and compared. One of the two solution has been studied and developed in all its aspects during the doctoral period. The work also investigates the problem to create and manage the Smart Environment. The proposed solution is to create, by means of natural interactions, links between objects and between objects and their environment, through the use of specific devices, i.e. Smart Objects
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Bartolini, Sara <1980&gt. "Smart Sensors For Interoperable Smart Environment." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amsdottorato.unibo.it/2576/.

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Smart Environments are currently considered a key factor to connect the physical world with the information world. A Smart Environment can be defined as the combination of a physical environment, an infrastructure for data management (called Smart Space), a collection of embedded systems gathering heterogeneous data from the environment and a connectivity solution to convey these data to the Smart Space. With this vision, any application which takes advantages from the environment could be devised, without the need to directly access to it, since all information are stored in the Smart Space in a interoperable format. Moreover, according to this vision, for each entity populating the physical environment, i.e. users, objects, devices, environments, the following questions can be arise: “Who?”, i.e. which are the entities that should be identified? “Where?” i.e. where are such entities located in physical space? and “What?” i.e. which attributes and properties of the entities should be stored in the Smart Space in machine understandable format, in the sense that its meaning has to be explicitly defined and all the data should be linked together in order to be automatically retrieved by interoperable applications. Starting from this the location detection is a necessary step in the creation of Smart Environments. If the addressed entity is a user and the environment a generic environment, a meaningful way to assign the position, is through a Pedestrian Tracking System. In this work two solution for these type of system are proposed and compared. One of the two solution has been studied and developed in all its aspects during the doctoral period. The work also investigates the problem to create and manage the Smart Environment. The proposed solution is to create, by means of natural interactions, links between objects and between objects and their environment, through the use of specific devices, i.e. Smart Objects
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Udina, Oliva Sergi. "Smart Chemical Sensors: Concepts and Application." Doctoral thesis, Universitat de Barcelona, 2012. http://hdl.handle.net/10803/84079.

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This PhD thesis introduces basic concepts of smart chemical sensors design, which are afterwards applied to a particular application: the analysis of natural gas. The thesis addresses thus two sets of objective, a first set of objectives related to the conceptual design of a smart chemical sensor using smart sensor standards: - The design of an optimal smart chemical sensor architecture - The novel combination in a working prototype of the highly complementary smart sensor standards IEEE-1451 and BS-7986 A second set of objectives is directly related to the selected application. Natural gas quality control. Natural gas is an energy source of major importance in the world energy supply, its quality control is increasingly important due to its origin-dependent properties and the progressive liberalization of the energy market. The objectives related to this application are: - To solve the natural gas quality analysis problem by using a lower cost approach taking advantage of MEMS technology, smart sensor features, and embedded intelligent signal processing. - To select suitable sensing technologies and associated signal processing. An overall goal addressed by the PhD Thesis is in the end the reporting of a working smart sensor prototype implementing all the smart sensor features, MEMS based natural gas analysis and advanced signal processing as a demonstration of a novel low-cost and high speed natural gas analyzer. The thesis covers this research along 7 chapters, introducing the concepts and application in chapters 1 and 2, the objectives in chapter 3, the simulation of a proposed MEMS sensor approach in chapter 4, the description of the advanced signal processing approach adopted in chapter 5, the description of the electronics and engineering of the smart natural gas analyzer prototype in chapter 6, and finally the conclusions of the work in chapter 7.<br>La tesis introduce conceptos básicos sobre el diseño de sensores químicos inteligentes, en particular presenta los estándares propuestos IEEE-1451 y BS-7986, y elabora una propuesta para el diseño óptimo de dichos sensores químicos inteligentes. Se implementa la propuesta de diseño para una aplicación concreta, el análisis de gas natural. Además de la aplicación de los conceptos sobre sensores químicos inteligentes se pretende además diseñar un analizador compacto, rápido y de bajo coste, para ello se estudia el uso de un microsensor termoeéctrico como sensor principal del analizador. Una vez probada su viabilidad se implementan ambos conceptos (sensores inteligentes y microsensor termoeléctrico) en un prototipo funcional validado en laboratorio. Como resultado se obtiene una propuesta para el diseño de sensores químicos inteligentes basada en estándares, y por otro lado se presenta un nuevo analizador de gas natural, más rápido y compacto que los existentes. Los resultados obtenidos originan diversas publicaciones en revistas así como dos patentes de método y sistema.
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Van, der Horn Gert. "Integrated smart sensors calibration." Delft, Netherlands : Delft University Press, 1997. http://books.google.com/books?id=tHhRAAAAMAAJ.

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Moghe, Rohit. "Smart sensors for utility assets." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44729.

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This dissertation presents the concept of a small, low-cost, self-powered smart wireless sensor that can be used for monitoring current, temperature and voltage on a variety of utility assets. Novel energy harvesting approaches are proposed that enable the sensor to operate without batteries and to have an expected life of 20-30 years. The sensor measures current flowing in an asset using an open ferromagnetic core, unlike a CT which uses a closed core, which makes the proposed sensor small in size, and low-cost. Further, it allows the sensor to operate in conjunction with different assets having different geometries, such as bus-bars, cables, disconnect switches, overhead conductors, transformers, and shunt capacitors, and function even when kept in the vicinity of an asset. Two novel current sensing algorithms have been developed that help the sensor to autonomously calibrate and make the sensor immune from far-fields and cross-talk. The current sensing algorithms have been implemented and tested in the lab at up to 1000 A. This research also presents a novel self-calibrating low-cost voltage sensing technique. The major purpose of voltage sensing is detection of sags, swells and loss-ofpower on the asset; therefore, the constraint on error in measurement is relaxed. The technique has been tested through several simulation studies. A voltage sensor prototype has been developed and tested on a high voltage bus at up to 35 kV. Finally, a study of sensor operation under faults, such as lightning strikes, and large short circuit currents has been presented. These studies are conducted using simulations and actual experiments. Based on the results of the experiments, a robust protection circuit for the sensor is proposed. Issues related to corona and external electrical noise on the communication network are also discussed and experimentally tested. Further, optimal design of the energy harvester and a novel design of package for the sensor that prevents the circuitry from external electrical noise without attenuation of power signals for the energy harvester are also proposed.
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Hadjiprocopiou, Marios. "Fibre optic sensors for smart structures." Thesis, University of Surrey, 1997. http://epubs.surrey.ac.uk/842922/.

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"Smart Structures" or "Smart Skins" will require structurally integrated sensing systems that can operate in practical situations. Optical sensing techniques are receiving considerable attention for the monitoring of such systems. Single ended polarimetric sensors were utilized with a large dynamic range for strain measurements as surface mounted and embedded strain sensors in composite materials (glass fibre and carbon fibre reinforced polymers). They were also used to monitor the strain and the formation of microcracks in the glue line of carbon fibre reinforced polymer (CFRP) concrete beams. The intrinsic Fabry-Perot was also used as a surface mounted sensor to monitor axial strain of GFRP coupons. Finite Element (FE) modelling was used in order to investigate the stress/strain distributions within the composite material and the embedded optical fibre. The modelling results show excellent agreement with the experimental results and suggest that the soft acrylate coating is debonding, thus reducing the sensor's dynamic range. Actuators and/or Sensors embedded into a host material will disrupt the physical properties of the host. Finite element analysis was used to determine and to minimise the stress concentrations which arise in a "Smart" material system due to the embedded optical fibre sensor. A parametric study was undertaken to determine the theoretical mechanical and thermal properties of the interface coating that minimises the disruption of the polymer composite host material properties due to the optical fibre inclusion. The effects of transverse tensile and thermal loading were studied, and also the residual thermal stress concentrations due to the manufacturing process were taken into consideration. The stress concentrations in the composite host are affected by the dimensions, mechanical and thermal properties of the interface coating. The results show that with careful selection of the interface coating properties die stress concentrations in the host material caused by the optical fibre inclusion can be reduced and be similar to those of the pure host material.
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Nugroho, Wibowo Harso 1967. "Monitoring of pipeline using smart sensors." Monash University, Dept. of Mechanical Engineering, 2001. http://arrow.monash.edu.au/hdl/1959.1/9236.

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Myers, Robert L. "SMART SENSORS VS DISTRIBUTED DATA ACQUISITION." International Foundation for Telemetering, 2001. http://hdl.handle.net/10150/606371.

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International Telemetering Conference Proceedings / October 22-25, 2001 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>Distributed processing is coming to data acquisition. The desire for smart sensors that can preprocess data, is growing. Making sensors themselves intelligent will reverse the historic trend toward smaller and cheaper sensors. Incorporating current sensor technology into data acquisition nodes in a network will create a distributed data acquisition, DAQ, environment that can acquire data from around the world over the Internet. The future is now.
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Scheidl, Rudolf. "Actuators and Sensors for Smart Systems." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-200616.

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Smartness of technical systems relies also on appropriate actuators and sensors. Different to the prevalent definition of smartness to be embedded machine intelligence, in this paper elegance and simplicity of solutions is postulated be a more uniform and useful characterization. This is discussed in view of the current trends towards cyber physical systems and the role of components and subsystems, as well as of models for their effective realization. Current research on actuators and sensing in the fluid power area has some emphasis on simplicity and elegance of solution concepts and sophisticated modeling. This is demonstrated by examples from sensorless positioning, valve actuation, and compact hydraulic power supply.
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Books on the topic "Smart sensors"

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W, Chapman Paul. Smart sensors. ISA, 1996.

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Shukla, Manoj Kumar, Praveen Kumar Malik, Anuj Jain, and Neeraj Kumar Mishra. Smart Sensors. CRC Press, 2025. https://doi.org/10.1201/9781003633884.

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Horn, Gert, and Johan L. Huijsing. Integrated Smart Sensors. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2890-3.

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Yurish, Sergey Y., and Maria Teresa S. R. Gomes, eds. Smart Sensors and MEMS. Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2929-5.

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Liu, Yongpan, Youn-Long Lin, Chong-Min Kyung, and Hiroto Yasuura, eds. Smart Sensors and Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42234-9.

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Lin, Youn-Long, Chong-Min Kyung, Hiroto Yasuura, and Yongpan Liu, eds. Smart Sensors and Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14711-6.

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Kyung, Chong-Min, Hiroto Yasuura, Yongpan Liu, and Youn-Long Lin, eds. Smart Sensors and Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-33201-7.

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Gugliuzza, Annarosa, ed. Smart Membranes and Sensors. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781119028642.

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Y, Yurish Sergey, Gomes, Maria Teresa S. R., and North Atlantic Treaty Organization. Scientific Affairs Division., eds. Smart sensors and MEMS. Kluwer Academic in cooperation with NATO Scientific Affairs Division, 2004.

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Suarez, Daniel E. Smart sensors and sensing technology. Nova Science, 2010.

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Book chapters on the topic "Smart sensors"

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Brignell, John Ernest. "Smart Sensors." In Sensors. Wiley-VCH Verlag GmbH, 2008. http://dx.doi.org/10.1002/9783527620128.ch12.

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Sarkar, Shimpy. "Smart sensors for smart manufacturing." In Smart Sensors. CRC Press, 2025. https://doi.org/10.1201/9781003633884-5.

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Xu, You-Lin, and Jia He. "Sensors and sensory systems." In Smart Civil Structures. CRC Press, 2017. http://dx.doi.org/10.1201/9781315368917-4.

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Singh, Arshdeep. "Smart sensors." In Smart Sensors. CRC Press, 2025. https://doi.org/10.1201/9781003633884-2.

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Kumari, Kabita, Sharvan Kumar Pahuja, and Sanjeev Kumar. "Advancements in bilirubin detection." In Smart Sensors. CRC Press, 2025. https://doi.org/10.1201/9781003633884-9.

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Ramakrishnan, Sanjeevi, Anuradha Jayaraman, Sandeep Tripathi, and Prashantkumar B. Sathvara. "Utilization of smart sensors in localization, navigation, and mapping." In Smart Sensors. CRC Press, 2025. https://doi.org/10.1201/9781003633884-3.

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Verma, Yogesh Kumar, and Manoj Kumar Shukla. "The potential of high-electron-mobility transistors as smart sensors." In Smart Sensors. CRC Press, 2025. https://doi.org/10.1201/9781003633884-12.

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Gupta, Rolly, and Lalit Kumar Sagar. "The future of infrastructure production." In Smart Sensors. CRC Press, 2025. https://doi.org/10.1201/9781003633884-4.

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Jaswal, Anita, Maninder Singh, and Prantick Patra. "Smart sensors enabling navigation and mapping for smart farming." In Smart Sensors. CRC Press, 2025. https://doi.org/10.1201/9781003633884-6.

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Jatti, Ashwini, Shubhangi Deokar, Javed Sayyad, Anup Vibhute, and Lalit Chaudhari. "Structural health monitoring system." In Smart Sensors. CRC Press, 2025. https://doi.org/10.1201/9781003633884-7.

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Conference papers on the topic "Smart sensors"

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Canudo, Jorge, Pascual Sevillano, Javier Preciado-Garbayo, et al. "Smart Traffic Monitoring based on Chirped-Pulse Distributed Acoustic Sensing." In Optical Sensors. Optica Publishing Group, 2024. https://doi.org/10.1364/sensors.2024.sf5a.2.

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Distributed fiber optic sensing technology has emerged as a cost-effective solution to infrastructure monitoring where real-time measurements of high spatial resolution are required, such as road traffic infrastructures. By monitoring vibrations induced by vehicles via CP-ΦOTDR technique, information about single vehicles and road status can be obtained in real-time.
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Reiner, L., and B. Bavarian. "Thin Film Sensors in Corrosion Applications." In CORROSION 2007. NACE International, 2007. https://doi.org/10.5006/c2007-07388.

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Abstract Sensors today are smart, rugged and can accurately measure a wide range of elements and physical parameters. Devices can be integrated and microengineered onto a chip offering high functionality, accuracy and good reliability. By combining CMOS and sensor technologies, a small wireless sensor can deliver broad based corrosion monitoring in crucial applications. Corrosion sensors have been used to detect coating defects and monitor coating degradation. Robustness and longevity were evaluated in various environments to simulate typical usage and storage conditions. Preliminary assessments identified vulnerable areas in the sensor development.
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Pedram Hovareshti, Vijay Gupta, and John S. Baras. "Sensor Scheduling using Smart Sensors." In 2007 46th IEEE Conference on Decision and Control. IEEE, 2007. http://dx.doi.org/10.1109/cdc.2007.4434999.

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Hotate, Kazuo. "Fiber Optic Nerve Systems for Smart Materials and Smart Structures." In Optical Sensors. OSA, 2010. http://dx.doi.org/10.1364/sensors.2010.swb2.

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Corsi, Carlo. "Smart sensors." In SPIE Optics + Photonics, edited by Marija Strojnik. SPIE, 2006. http://dx.doi.org/10.1117/12.687689.

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Corsi, Carlo. "Smart sensors." In ECO4 (The Hague '91), edited by Ahmed Naumaan, Carlo Corsi, Joseph M. Baixeras, and Alain J. Kreisler. SPIE, 1991. http://dx.doi.org/10.1117/12.47148.

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Murphy, M., C. Leigh-Jones, T. Kent, and A. Baldwin. "New Generation of Smart Sensors." In World Tribology Congress III. ASMEDC, 2005. http://dx.doi.org/10.1115/wtc2005-63695.

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Advanced warning from arrays of on-line sensors to trigger more in-depth laboratory testing is now possible because the development phase of “smart” sensors has matured. There has been a need to develop reliable, affordable on-line instrumentation (sensors) that provides information on both lubricant and machinery condition (wear) supports critical systems requirements, addresses remote applications that are difficult to physically sample routinely, and that reduces manpower needs. The monitoring of specific oil related parameters like, alkalinity, acidity, and contaminants such as ferrous and non-ferrous debris, water, coolant and soot, with no human involvement, will be reviewed in this paper. Sensor technology includes Magnetometry and TAN Delta. They have been evaluated on test rig and on-engine trials to assess the improvement of sensitivity, insulation, electronics, connectors, and specialised software with interpretive algorithms to suit specific applications. Sensors will supplant some, but not all routine testing, thereby changing the Oil Analysis landscape.
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Patterson, Grant, Mike Bennett, Andy Nelius, William Irby, and Owen Boals. "Preparations for Smart Sensor Usage in Aircraft Gas Turbine Testing." In ASME Turbo Expo 2004: Power for Land, Sea, and Air. ASMEDC, 2004. http://dx.doi.org/10.1115/gt2004-53601.

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The preparation and planning process for smart sensor usage in aircraft gas turbine testing is described. The smart sensors are planned for usage in a process called Snap-In/Snap-Out (SISO). The current instrumentation setup process for testing in an altitude test cell requires a multitude of aerodynamic pressure lines (up to 600 lines) and electrical cables for instrumentation measurement and excitation (up to 800 cables) be routed through patch panels to pressure scanners, power supply/signal conditioners, analog-to-digital (A/D) systems, and acquisition systems for processing, display, recording, analysis, and transmission of the data. The process is manpower intensive in both setup and configuration control. The SISO process will use smart sensors with calibrations and measurement information on the sensors plus consolidation of all sensor outputs before they exit the engine test stand; this configuration offers the opportunity to reduce the number of connections for measured data to one or at most a few wires. Measurement information stored with the sensor reduces the probability of configuring the instrumentation system incorrectly. The SISO process is presented here along with attendant cost reductions for instrumentation setup time, configuration management, and infrastructure maintenance. The discussion of planning activities includes certifying the smart sensor units for operation in the test cell environment, assessing the uncertainty of the sensor units, the schedule for implementation, and future requirements for smart sensors. Also discussed are the use of state-of-the-art smart sensors and legacy sensors, for several applications (pressure, temperature, position, and voltage) and for both transient and dynamic measurements.
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Yang, Jie, Cong Shi, Zhongxiang Cao, Ye Han, Liyuan Liu, and Nanjian Wu. "Smart image sensing system." In 2013 IEEE Sensors. IEEE, 2013. http://dx.doi.org/10.1109/icsens.2013.6688261.

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Boudaden, J., A. Klumpp, I. Eisele, and C. Kutter. "Smart capacitive CO2 sensor." In 2016 IEEE SENSORS. IEEE, 2016. http://dx.doi.org/10.1109/icsens.2016.7808664.

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Reports on the topic "Smart sensors"

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Davidson, Susannah, Jaime Miranda Ramirez, Atalia Matos Aguiar, et al. Smart sensors to reduce installation solid waste. Engineer Research and Development Center (U.S.), 2024. https://doi.org/10.21079/11681/49503.

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Sensors were deployed by the research team in interior waste bins at Army installation buildings to collect data on waste generation at the source. The sensors were designed to provide granular data on waste generation that stakeholders can use to make informed decisions about solid waste man-agement. Each sensor costs about $300 to fabricate, but bulk fabrication may bring costs down. Sensors were deployed at dining facilities, offices, and barracks, which typically had higher waste volumes. Dining facilities were deemed to be the most useful application because at the other buildings, waste management either varies significantly or much of the waste is carried out directly to exterior waste bins. This technology shows promise but could be improved in areas such as sensor fit, sensor robustness, battery life, data storage, and clock accuracy. The highest return on investment would be found in areas with high costs for waste hauling and landfills. In areas with low waste management costs, this technology may not result in costs savings.
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Saligrama, Venkatesh. Smart Distributed Sensor Fields: Algorithms for Tactical Sensors. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada594998.

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Almeida, Oscar J., Brian G. Dixon, Jill H. Hardin, John P. Sanford, and Myles Walsh. High Temperature Smart Sensors and Actuators. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada256985.

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Stern, Ariana. FLC Award: Smart Chutes and Sensors. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1787270.

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Tutumluer, Erol, Bill Spencer, Riley Edwards, Kirill Mechitov, Syed Husain, and Issam Qamhia. Sensing Infrastructure for Smart Mobility—Wireless Continuous Monitoring for I-ACT. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-019.

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This report proposes a suite of wireless sensing solutions for continuous transportation-infrastructure monitoring. First, various traditional and modern sensors and sensing platforms are described in detail, based on their principles of operation, suitability for transportation-infrastructure monitoring, and issues concerning their use. Then, a suitability-assessment survey conducted to select suitable inter-sensor and sensor-to-cloud communication technology for lower bandwidth and higher bandwidth requiring sensors is presented. Important observations are made, and conclusions are drawn based on multidisciplinary analyses of strengths, weaknesses, opportunities, and threats (SWOT) of various communication technologies and proposed wireless architectures for sensing infrastructure for smart mobility (SISM). Finally, recommendations are made concerning the implementation of proposed wireless architectures for wireless and continuous monitoring of the Illinois Autonomous and Connected Track (I-ACT).
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Taylor, Steven R., Phillip E. Harben, Steve Jarpe, and David B. Harris. Development of mine explosion ground truth smart sensors. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1214383.

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Krishnaswamy, Sridhar, and Jan D. Achenbach. Fiber-Optic Ultrasound Sensors for Smart Structures Applications. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada376112.

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Moule, Eric, and Mark Bocko. Ultra-low Power Sentry for Ambient Powered Smart Sensors. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada433896.

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Feng, Philip. Transforming Ordinary Buildings into Smart Buildings via Low-Cost, Self-Powering Wireless Sensors & Sensor Networks. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1372099.

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Peterson, Delvin, and Mark Costello. Calibration of Smart Weapon Motion Sensors for High-Speed Manufacturing Lines. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada441892.

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