Relevant bibliographies by topics / Environmental sensor

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

Academic literature on the topic 'Environmental sensor'

Author: Grafiati
Published: 4 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "Environmental sensor"

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MATSUMOTO, Yoshinori. "Environmental Sensor." Journal of The Institute of Electrical Engineers of Japan 134, no. 3 (2014): 140–43. http://dx.doi.org/10.1541/ieejjournal.134.140.

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Supriya Rai,, Dr, Tabassum Nadeem,, Piyush Bhansali,, Bhavin Sanghvi,, Harshith Bafna,, and Mehul Lunkkadd. "Biodegradable Sensors in Environmental Monitoring." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem43525.

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The increasing need for sustainable and eco-friendly environmental monitoring solutions has driven advancements in biodegradable sensor technology. Traditional sensors, while effective in collecting data on soil health, pollution levels, and climate patterns, contribute to electronic waste (e-waste) and environmental degradation due to their reliance on non-renewable materials and energy sources. This research introduces the concept of Biodegradable Bioelectric Soil Sensors (BBS-Sensors)—a novel sensor technology designed to eliminate battery dependency by utilizing plant-root bioelectricity as a self-sustaining power source. Unlike conventional sensors, BBS-Sensors are fully biodegradable, ensuring they decompose into nutrient-rich compounds that enhance soil fertility rather than contribute to waste accumulation. Through an extensive review of existing biodegradable sensor technologies, this study explores the current limitations in power sustainability, scalability, environmental adaptability, and industrial adoption. The BBS-Sensor is proposed as an innovative alternative, leveraging bioelectricity from plant roots to provide a self-sustaining, zero-waste solution for precision agriculture and environmental monitoring. Findings suggest that BBS-Sensors can play a significant role in advancing climate-smart agriculture, soil health restoration, and sustainable environmental conservation. However, barriers such as scalability, energy efficiency, regulatory frameworks, and industrial viability must be addressed for widespread implementation. Future research should focus on enhancing bioelectric energy harvesting, integrating AI-powered analytics, and optimizing cost-effective production techniques. This study contributes to the growing body of research in biodegradable electronics, offering a transformative approach to environmental monitoring and sustainability. KEYWORDS: biodegradable sensors, environmental monitoring, sustainability, water quality, soil health, climate change and natural ecosystems
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Long, Keyu. "Advancements in Environmental Sensor Technology: Analysis, Applications, and Future Prospects." Highlights in Science, Engineering and Technology 97 (May 28, 2024): 21–28. http://dx.doi.org/10.54097/h4cq8647.

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With the rapid growth of science and technology and the quest to liberate labor and achieve a better quality of life, sensors have been invented to assist humans in detecting the environment and in human production and life. This technology has been updated at a high rate and has had a significant impact in different fields. This paper focuses on environmental sensors and provides an in-depth study of how sensors work, how data is processed, the results of the applications, and the related technologies. This paper analyzes the sensor technology by studying the sensors, analyzing some of the existing sensor systems, and researching the application results. Through the research, this paper investigates the specific role of sensors in human society in a wide range of important ways and describes the important role of sensor technology in protecting the environment and protecting human life and health. This paper concludes by summarizing the sensor technology, draws out the current shortcomings of the sensor technology, provides possible solutions to these problems, and predicts the future developments in sensor technology.
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Azizi, Shoaib, Ramtin Rabiee, Gireesh Nair, and Thomas Olofsson. "Effects of Positioning of Multi-Sensor Devices on Occupancy and Indoor Environmental Monitoring in Single-Occupant Offices." Energies 14, no. 19 (2021): 6296. http://dx.doi.org/10.3390/en14196296.

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The advancements in sensor and communication technologies drive the rapid developments in the applications of occupancy and indoor environmental monitoring in buildings. Currently, the installation standards for sensors are scarce and the recommendations for sensor positionings are very general. However, inadequate sensor positioning might diminish the reliability of sensor data, which could have serious impacts on the intended applications such as the performance of demand-controlled HVAC systems and their energy use. Thus, there is a need to understand how sensor positioning may affect the sensor data, specifically when using multi-sensor devices in which several sensors are being bundled together. This study is based on the data collected from 18 multi-sensor devices installed in three single-occupant offices (six sensors in each office). Each multi-sensor device included sensors to measure passive infrared (PIR) radiation, temperature, CO2, humidity, and illuminance. The results show that the positions of PIR and CO2 sensors significantly affect the reliability of occupancy detection. The typical approach of positioning the sensors on the ceiling, in the middle of offices, may lead to relatively unreliable data. In this case, the PIR sensor in that position has only 60% accuracy of presence detection. Installing the sensors under office desks could increase the accuracy of presence detection to 84%. These two sensor positions are highlighted in sensor fusion analysis as they could reach the highest accuracy compared to other pairs of PIR sensors. Moreover, sensor positioning can affect various indoor environmental parameters, especially temperature and illuminance measurements.
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Gao, Rui, Wenjun Zhang, Junmin Jing, et al. "Design, Fabrication, and Dynamic Environmental Test of a Piezoresistive Pressure Sensor." Micromachines 13, no. 7 (2022): 1142. http://dx.doi.org/10.3390/mi13071142.

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Microelectromechanical system (MEMS) pressure sensors have a wide range of applications based on the advantages of mature technology and easy integration. Among them, piezoresistive sensors have attracted great attention with the advantage of simple back-end processing circuits. However, less research has been reported on the performance of piezoresistive pressure sensors in dynamic environments, especially considering the vibrations and shocks frequently encountered during the application of the sensors. To address these issues, this paper proposes a design method for a MEMS piezoresistive pressure sensor, and the fabricated sensor is evaluated in a series of systematic dynamic environmental adaptability tests. After testing, the output sensitivity of the sensor chip was 9.21 mV∙bar−1, while the nonlinearity was 0.069% FSS. The sensor overreacts to rapidly changing pressure environments and can withstand acceleration shocks of up to 20× g. In addition, the sensor is capable of providing normal output over the vibration frequency range of 0–5000 Hz with a temperature coefficient sensitivity of −0.30% FSS °C−1 over the temperature range of 0–80 °C. Our proposed sensor can play a key role in applications with wide pressure ranges, high-frequency vibrations, and high acceleration shocks, as well as guide MEMS-based pressure sensors in high pressure ranges and complex environmental adaptability in their design.
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Nistor, P., and I. Orha. "Environmental Parameters Monitoring System." Carpathian Journal of Electronic and Computer Engineering 14, no. 2 (2021): 6–10. http://dx.doi.org/10.2478/cjece-2021-0007.

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Abstract The project presents the development of a system for monitoring environmental parameters. At the base of this system is the ESP-32S board that collects, processes and transmits data from the three sensors to the two web interfaces. The role of these web interfaces is to display the data collected from the sensors. The local web interface consists of two windows, the first window contains the table of sensors that displays the data measured by the sensors at that time. In the second window you can see the data measured by the sensors through graphs. They store the sensor data, giving the user the ability to view previously measured data. The local web interface provides sensor data only in the Wi-Fi network coverage area, and its data is deleted when the server is closed. The global web interface displays data using graphs. At the base of this web interface is the ThingSpeak platform that allows the system to transmit data anywhere in the world, store data in the Cloud space and the possibility of using special analysis functions.
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Singh, Ravinder, and Kuldeep Singh Nagla. "Comparative analysis of range sensors for the robust autonomous navigation – a review." Sensor Review 40, no. 1 (2019): 17–41. http://dx.doi.org/10.1108/sr-01-2019-0029.

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Purpose The purpose of this research is to provide the necessarily and resourceful information regarding range sensors to select the best fit sensor for robust autonomous navigation. Autonomous navigation is an emerging segment in the field of mobile robot in which the mobile robot navigates in the environment with high level of autonomy by lacking human interactions. Sensor-based perception is a prevailing aspect in the autonomous navigation of mobile robot along with localization and path planning. Various range sensors are used to get the efficient perception of the environment, but selecting the best-fit sensor to solve the navigation problem is still a vital assignment. Design/methodology/approach Autonomous navigation relies on the sensory information of various sensors, and each sensor relies on various operational parameters/characteristic for the reliable functioning. A simple strategy shown in this proposed study to select the best-fit sensor based on various parameters such as environment, 2 D/3D navigation, accuracy, speed, environmental conditions, etc. for the reliable autonomous navigation of a mobile robot. Findings This paper provides a comparative analysis for the diverse range sensors used in mobile robotics with respect to various aspects such as accuracy, computational load, 2D/3D navigation, environmental conditions, etc. to opt the best-fit sensors for achieving robust navigation of autonomous mobile robot. Originality/value This paper provides a straightforward platform for the researchers to select the best range sensor for the diverse robotics application.
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Anuj Singh Solanki, Akshay Kumar Asopa, Charu Shree, Sanjiv Kumar,. "The Role of Sensor in Environmental Monitoring." Tuijin Jishu/Journal of Propulsion Technology 43, no. 4 (2023): 259–62. http://dx.doi.org/10.52783/tjjpt.v43.i4.2348.

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Environmental pollution has become the major problem for us in recent times. Harmful gases are discharged by industries and many others cause pollution. Hence, there is a need to monitor and control these harmful contaminants, especially in air and water. So the sensors in environmental monitoring, highlighting their diverse applications, such as measuring air quality, water quality, soil conditions, and more. Sensor devices also offer high sensitivity, and fast response as per the user requirements. The role of sensors in environmental monitoring is enabling data collection and give information for decision-making. These devices detect physical, chemical, and biological parameters, such as temperature, humidity, pollutants, and biodiversity. They provide accurate, real time data. Sensor also give early warning systems for natural disasters and pollution incidents.As technology advances, sensor networks enhance our ability to monitor and safeguard the earth supporting global efforts to protect ecosystems and human well-being.
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Antunes, Alex. "Cheap Deployable Networked Sensors for Environmental Use." Journal of Telecommunications and the Digital Economy 2, no. 4 (2020): 15. http://dx.doi.org/10.18080/jtde.v2n4.271.

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We profile the utility and limits in deployment of inexpensive disposable sensor networks by amateurs to achieve environmental monitoring goals. Four current technology movements — PC-on-a-chip processors such as Arduino, prebuilt sensors, 3-D printing, and Wi-Fi and mesh networking — enable rapid sensor platform creation and make it easy for non-specialists to create general sensor-bearing platforms. Deployment of a cluster of multiple sensor-bearing platforms is, however, communications-limited in terms of both range and number of devices supported, and generally requires a base station with internet access. We examine how inexpensive technology supports scenarios for short-term environmental modelling by average citizens.
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Saputri, Fahmy Rinanda, and Vanessa Lee. "Web-based Environment Monitoring System." G-Tech: Jurnal Teknologi Terapan 7, no. 3 (2023): 807–15. http://dx.doi.org/10.33379/gtech.v7i3.2498.

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Green building is the concept of designing, building, operating, and maintaining buildings that pay attention to the use of natural resources, indoor air quality, and the health of the occupants. This green building is the choice in responding to the issue of limited non-renewable energy. To monitor the environmental conditions of green buildings, a sensor system is needed to maintain environmental conditions according to standards. This study aims to design a sensor system to monitor environmental conditions in Universitas Multimedia Nusantara. A real-time monitoring system is needed to maintain the green building environment's condition. The results of the study succeeded in designing a real-time monitoring system for green building environmental sensors, especially web-based classrooms using the NodeMCU ESP8266, DHT22 Sensor, and LDR Sensor. The difference in readings between the monitoring sensor system and the environment meter for lighting levels, temperature, and humidity respectively is 0.67 lux, 0.9°C, and 5.8%RH.
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Dissertations / Theses on the topic "Environmental sensor"

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Fraher, Patrick M. A. "Environmental sensor validation." Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308651.

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Hall, Geoffrey G. "Remote environmental sensor array system." Thesis, Kingston, Ont. : [s.n.], 2007. http://hdl.handle.net/1974/943.

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Hernandez, Unpingco Jose. "Environmental source tracking using one sensor /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1997. http://wwwlib.umi.com/cr/ucsd/fullcit?p9821366.

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Myint, Cho Zin. "Reconfigurable Wireless Sensor Network Design for Environmental Monitoring in IoT Environment." Thesis, Curtin University, 2018. http://hdl.handle.net/20.500.11937/76187.

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This study presents a reconfigurable wireless sensor network (WSN) based water quality monitoring (WQM) system in an IoT environment to measure five parameters of water such as water temperature, water level, water pH, turbidity of water and CO2 on the surface of water using sensors, Field Programmable Gate Array (FPGA), Zigbee wireless communication protocol and personal computer (PC), a VHDL language and C++ program.
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ILIE, Ana Maria Carmen. "Smart Sensor Technology for Environmental Monitoring Applications." Doctoral thesis, Università degli studi di Ferrara, 2018. http://hdl.handle.net/11392/2487882.

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Research Project focused on developing innovative devices using the low-cost sensors to obtain the concentrations of greenhouse gases (GHGs) such as carbon dioxide (CO2) and methane (CH4) as well as obtain a good water quality as a 2nd treatment in the Wastewater Treatment Plant. In addition to sensor calibration, the multi-parameter monitor prototype were tested in several contexts: a) Laboratory scale with natural soil columns, to figure out the sensor response under controlled conditions, calibration and validation; b) Field scale in many geological contexts, for Air-Soil quality (methane and carbon dioxide measurements): Natural Gas Storage Site in Minerbio, Italy; Drilling and Hydraulic Fracturing activities in Greeley, CO, USA; for Water Quality: Wastewater Treatment Plant in Algarve, Portugal. The monitoring system provided a huge set of data for which can be used statistical analysis, management and processing (Big DATA). The source identification of greenhouse gas emissions is identified in several IPCC reports that climate change is the major emergency for the socio / economic / environmental equilibrium of Earth planet. No outliers were identified as methane gas concentrations at Minerbio gas storage site, Italy and at Hydraulic activities in Greeley, Colorado. The soil column experiments for infiltration basins in the Wastewater treatment plant in Algarve, Portugal, gave us good results, the water quality was improved after the 2nd treatment. The low-cost sensors (gas – water) gave as a good calibration and validation with r2 coefficient of correlation of 0.70 – 0.96.<br>Il progetto di ricerca si è concentrato sullo sviluppo di dispositivi innovativi utilizzando i sensori a basso costo per ottenere le concentrazioni di gas (GHG) quali anidride carbonica (CO2) e metano (CH4) e ottenere una buona qualità dell'acqua come secondo trattamento nelle acque reflue nell’impianto di trattamento. Oltre alla calibrazione del sensore, il prototipo di monitoraggio multiparametro è stato testato in diversi contesti: a) Nel laboratorio con colonne di terreno naturali, suoli, per determinare la risposta del sensore in condizioni controllate, calibrazione e validazione; b) Scala di campo in molti contesti geologici, per la qualità Aria-suolo (misure di metano e anidride carbonica, radon) nel sito di stoccaggio di gas naturale a Minerbio, Italia; Attività di perforazione e fratturazione idraulica in Greeley, Colorado, USA; per la qualità dell'acqua: impianto di trattamento delle acque reflue in Algarve, Portogallo. Il sistema di monitoraggio ha fornito un enorme set di dati per i quali è stato possibile utilizzare analisi statistiche, gestione ed elaborazione (Big DATA). L'identificazione della fonte delle emissioni di gas è stata identificata in diversi rapporti dell'IPCC secondo cui i cambiamenti climatici rappresentano l'emergenza principale per l'equilibrio socio / economico / ambientale del pianeta Terra. Non sono stati identificati valori anomali come concentrazioni di gas metano nel sito di stoccaggio di Minerbio (Italia) e nelle attività di perforazione in Greeley, Colorado, USA. Gli esperimenti con la colonna di terreno per i bacini di infiltrazione nell'impianto di trattamento delle acque reflue in Algarve, in Portogallo, ci hanno dato buoni risultati, la qualità dell'acqua è stata migliorata dopo il 2 ° trattamento. I sensori a basso costo (gas - acqua) per la qualita’ dell’aria e del suolo, hanno fornito una buona calibrazione e validazione con coefficiente di correlazione r2 di 0,70 - 0,96.
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Mokhtary, Mandana. "Sensor Observation Service for Environmental Monitoring Data." Thesis, KTH, Geodesi och geoinformatik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-95830.

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The Swedish Environmental Protection Agency (Naturvårdsverket) is the public agency in Sweden with responsibility to overview the conditions of the environment and the policies related to the environmental monitoring data. Nowadays, observation data are stored in several different data models in this organization, leading to difficulties in finding, understanding and consequently using data in terms of analysis and management of environmental issues. One common model that uniformly structures observation data could largely make it easier for decision makers to find the required information. The aim of this study is to build an interoperable data model for environmental monitoring observation in Naturvårdsverket based on OGC-SWE standard formats. The proposed solution relies on Sensor Web architecture, which is the set of data model definitions andweb service specifications. Also, this methodology is based on open source components; therefore it is cost-effective for the users. The Service Oriented Architecture (SOA) is used to create a uniform model by using communication protocols such as Extensible Markup Language (XML) and Simple Object Access Protocol (SOAP). The primary findings of the thesis is that when the observation is encoded into the standard format from the beginning, then it is easier to parse these documents and find the required information for the end users without knowing how these information are gathered and stored. The client scan send a request to the Sensor Observation Service (SOS) and receive the observation that is structured based on Observation and Measurements (O&amp;M).
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Conde, Erick F. "Environmental Sensor Anomaly Detection Using Learning Machines." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/1050.

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The problem of quality assurance/quality control (QA/QC) for real-time measurements of environmental and water quality variables has been a field explored by many in recent years. The use of in situ sensors has become a common practice for acquiring real-time measurements that provide the basis for important natural resources management decisions. However, these sensors are susceptible to failure due to such things as human factors, lack of necessary maintenance, flaws on the transmission line or any part of the sensor, and unexpected changes in the sensors' surrounding conditions. Two types of machine learning techniques were used in this study to assess the detection of anomalous data points on turbidity readings from the Paradise site on the Little Bear River, in northern Utah: Artificial Neural Networks (ANNs) and Relevance Vector Machines (RVMs). ANN and RVM techniques were used to develop regression models capable of predicting upcoming Paradise site turbidity measurements and estimating confidence intervals associated with those predictions, to be later used to determine if a real measurement is an anomaly. Three cases were identified as important to evaluate as possible inputs for the regression models created: (1) only the reported values from the sensor from previous time steps, (2) reported values from the sensor from previous time steps and values of other water types of sensors from the same site as the target sensor, and (3) adding as inputs the previous readings from sensors from upstream sites. The decision of which of the models performed the best was made based on each model's ability to detect anomalous data points that were identified in a QA/QC analysis that was manually performed by a human technician. False positive and false negative rates for a range of confidence intervals were used as the measure of performance of the models. The RVM models were able to detect more anomalous points within narrower confidence intervals than the ANN models. At the same time, it was shown that incorporating as inputs measurements from other sensors at the same site as well as measurements from upstream sites can improve the performance of the models.
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Tosatto, Silvia. "A teledetection system based on surface plasmon resonance sensors for environmental pollutants." Doctoral thesis, Università degli studi di Padova, 2013. http://hdl.handle.net/11577/3422980.

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Surface Plasmon Resonance (SPR) sensors are thin-film refractometers that measure changes in the refractive index that take place at the surface of a metal film supporting a surface plasmon (Homola, 2008). The research activity consisted on a study and realization of innovative Surface Plasmon Resonance based sensors and of their applications, in particular for the environment monitoring. In order to investigate the possibility of creating innovative SPR sensors, computer simulations of optical structures supporting surface plasmon polaritons and comprising peculiar materials were implemented. In particular SPR sensors based on metals showing Inverted Surface Plasmon Resonance and a single layer of Graphene (SGL) were simulated. An article has been submitted on this study. Surface Plasmon Resonance sensor prototypes were also realized in laboratory. By means of a first SPR sensor with dynamic setup, measurements with Helium and Pentane gases were made, then an SPR sensor with a static setup was assembled, refined and as a following improvement in the optical components an adaptive mirror also introduced, which was able to counteract, if present, a lens defocus, spherical aberration, coma and astigmatism . Moreover the elements of a feasible wireless sensor network based on Surface Plasmon Resonance sensors, the possible data that can be inferred from a SPR sensor and a possible data handling strategy were determined along with an evaluation of the sensor module energy requirements. Then two small wireless sensor network test setups were implemented in laboratory, each one composed of two SPR sensors controlled by a computer or a microcontroller, ZigBee antennas and a main computer for the data reception and diffusion into Internet. The feasibility of a Wireless Sensor Network based on SPR sensors, conceived for environmental pollutants detection and with broadband internet connection, has been demonstrated and two different laboratory setups for a test Wireless Sensor Network based on Surface Plasmon Resonance Sensors were realized.<br>I sensori basati sulla plasmonica di superficie (SPR) sono rifrattometri, basati sulla fisica dei film sottili, che misurano le variazioni di indice di rifrazione che avvengono sulla superficie di uno strato metallico supportante un plasmone di superficie (Homola , 2008). L’ attività di ricerca si è sviluppata come uno studio ed implementazione di sensori SPR innovativi e delle loro possibili applicazioni, in particolare per la rilevazione di sostanze inquinanti. Sono stati simulati in ambiente Matlab sensori SPR innovativi, comprendenti materiali peculiari. Tali sensori comprendono in particolare metalli mostranti una Risonanza Plasmonica Invertita (ISPR), oltre che un singolo strato di Graphene (SGL). Un articolo è stato sottomesso su tali studi. Sono stati inoltre implementati in laboratorio vari prototipi di sensori basati sulla plasmonica di superficie. Innanzi tutto sono state effettuate delle misure di riflettività con i gas elio e pentano mediante un sensore basato sulla plasmonica di superficie e con un setup dinamico, quindi è stato creato un nuovo sensore utilizzante un un sistema ottico di tipo statico ed un prisma cilindrico ad alto indice di rifrazione, migliorando il più possibile la qualità del fascio ottico e filtrandolo opportunamente. Altresì è stato innovativamente utilizzato nel setup ottico uno specchio deformabile, in grado di correggere le aberrazioni ottiche presenti nello stesso. Oltre a ciò sono stati individuati i possibili elementi di una rete wireless di sensori SPR progettata per il monitoraggio ambientale, i dati ottenibili da un sensore SPR, una strategia per la diffusione dei dati ed una stima dei consumi energetici. Infine sono stati implementati in laboratorio due diversi setup di prova per una piccola rete wireless di sensori, formata da due sensori SPR controllati da un computer o da un microcontrollore, antenne ZigBee e da un computer principale per la ricezione, analisi e diffusione in Internet dei dati. L’ attività di ricerca presentata in questa tesi ha quindi dimostrato la possibilità della creazione di una rete wireless di sensori basati sulla Plasmonica di Superficie e con accesso Internet a banda larga, finalizzata alla rilevazione di sostanze inquinanti in ambiente acquoso, e due piccole versioni di prova della stessa sono state implementate in laboratorio.
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Marinakis, Dimitrios. "Inferring environmental representations through limited sensory data with applications to sensor network self-calibration." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66780.

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This thesis addresses the problem of using distributed sensing for automatically inferring a representation of the environment, i.e. a map, that can be useful for the self-calibration of intelligence systems, such as sensor networks. The information recovered by such a process allows typical applications such as data collection and navigation to proceed without labour intensive input from a human technician. Simplifying the deployment of large scale sensor networks and other intelligent systems will effectively reduce their cost and improve their widespread availability and hence aid their practical application to tasks such as the monitoring of carbon emissions and greenhouse gases. In our research we focus on algorithms and techniques for recovering two types of information from the immediate environment: topology information that indicates physical connectivity between regions of interest from the point of view of a navigating agent; and a probability distribution function (PDF) describing the position of components of the intelligent system. We consider situations where data is collected from systems that comprise of: a number of stationary network components; stationary network components augmented with a mobile robot; or a mobile robot only. Our approaches are, for the most part, based on statistical methods that employ stochastic sampling techniques to provide approximate solutions to problems for which computing the optimal or exact solution is intractable. Numerical simulations and experiments conducted on hardware suggest that this research has promising real world applications in the area of sensor network self-configuration.<br>Ce thèse s'adresse au problème de l'emploi de la détection dispersée pour déduire automatiquement une représentation de l'environnement, c'est-à-dire une carte, qui peut servir dans l'autocalibrage des systèmes intelligents tels que les réseaux des capteurs. L'information récupérée par un tel processus permet aux applications typiques telle que la collecte des données et la navigation de continuer sans une contribution de main d'œuvre de la part d'un technicien humain. Simplifier la répartition en grand des réseaux de capteurs et d'autres systèmes intelligents réduira effectivement leur coût et améliora leur disponibilité répandue, donc il facilitera leur application pratique aux tâches comme le contrôle des émissions de carbone et les gaz à effet de serre.Dans nos recherches nous nous concentrons sur les algorithmes et les techniques pour récupérer deux types d'information de l'environnement immédiat : l'information topologique qui indique la connectivité physique entre les régions d'intérêt du point de vue d'un agent navigateur; et une fonction de dispersion de probabilité (PDF) qui décrit la position des élément du système intelligent. Nous considérons les situation où les données se recueillent des systèmes composés de: plusieurs éléments fixes du réseau; des éléments fixes du réseau augmentés d'un robot mobile; un robot mobile seulement. Nos approches sont, pour la plupart, fondées sur des méthodes statistiques qui emploient des techniques stochastiques d'échantillonnage pour fournir des solutions approximatives aux problèmes dont le calcul d'une solution exacte ou optimale reste réfractaire. Les simulations numériques et les expériences exécutées au matériel suggèrent que ces recherches promettent des applications actuelles et pratiques dans le domaine d'autocalibrage des réseaux de capteurs.
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Suzuki, Takeharu, and n/a. "Integrated, Intelligent Sensor Fabrication Strategies for Environmental Monitoring." Griffith University. School of Microelectronic Engineering, 2004. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20040813.131206.

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The humidity, temperature, wind speed/direction micro sensors can be manufactured individually, resulting in three individual substrates. The integration of the three sensors into a single substrate is a vital challenge to achieve an integrated intelligent sensor so called a multiple sensor. This requires the integration of process flows and is a major challenge because adequate sensor performance must be maintained. Polyimide was selected as a humidity sensing material for its compatibility with conventional integrated circuit fabrication technology, negligible temperature dependence and good resistance against contamination. Nickel was selected for the temperature and wind speed/direction sensor because of its useful temperature coefficient and the advantage of its cost. Since the known wet etchant for nickel requires hard-baked photoresist, a method which does not attack the polyimide while removing the photoresist must be developed. The method developed for etching nickel employs hard-bake-free photoresist. Other challenge was ensuring good thermal isolation for the wind speed/direction sensor fabricated on a silicon nitride layer preformed on top of a silicon wafer. Since silicon acts as a good heat sink, the silicon under the sensor was etched entirely away until the silicon nitride layer was reached. This structure achieved good thermal isolation resulting in small power consumption. This low power feature is essential for sensors deployed in fields where power access or replacement of power sources is restricted. This structure was compared with the structure created by polyimide plateau on a silicon nitride layer coated on a silicon substrate as a function of power consumption. Based on the examination of thermal isolation, the multiple sensor utilizing a MEMS technique was fabricated with a single-sided mask aligner. The characteristics of humidity sensors fabricated with polyimide were examined in detail with respect to variations of electrode structures, improvement of sensitivity, effect of process temperature, temperature and frequency dependence, and stability. The humidity sensor constructed with O2 plasma treated polyimide resulted an improvement in sensitivity and hysteresis. The investigation using XPS, FTIR and AFM concluded the chemical modification of polyimide played an important role in this improvement. The design, fabrication and results of a series of humidity sensors are quantified. There is always no unique packaging solution for sensors because of the application-specific nature of the sensors. This intelligent environmental monitoring system was designed to accommodate both an environmental sensor and its signal conditioning electronics circuitry (SICONEC) into a single package. The environmental sensors need direct exposure to the environment while SICONEC needs a sealed encapsulation to avoid environmental damage. A new style of packaging addressing these requirements was demonstrated using a hot embossing machine. The hot embossing machine was used to embed an integrated circuit (IC) in a bare die condition into a polycarbonate (PC) sheet. In this case, the IC was flipped down against the PC, which protects the front side of the IC from the environmental damages. In a test phase, a die containing operational amplifiers was embossed into the PC. A humidity sensor and surface mount resisters were placed on the same surface of the PC to test the validity of this new technique. Interconnection between the embossed die and the humidity sensor was established using bonding wires. Copper tracks were also used to ensure all electrical connections for the die, the humidity sensor and the resistors. The results clarified the method developed. Details of process methods, issues and further potential improvement are reported.
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Books on the topic "Environmental sensor"

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Campbell, M. Sensor Systems for Environmental Monitoring: Volume One: Sensor Technologies. Springer Netherlands, 1996.

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Campbell, M., ed. Sensor Systems for Environmental Monitoring. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-1571-8.

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Campbell, M., ed. Sensor Systems for Environmental Monitoring. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0101-8.

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M, Campbell, ed. Sensor systems for environmental monitoring. Blackie Academic & Professional, 1997.

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M, Campbell, ed. Sensor systems for environmental monitoring. Blackie Academic & Professional, 1997.

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M, Campbell, ed. Sensor systems for environmental monitoring. Blackie Academic & Professional, 1997.

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Campbell, M. Sensor Systems for Environmental Monitoring: Volume Two: Environmental Monitoring. Springer Netherlands, 1996.

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Cliodhna, Ni Scanaill, and Nafus Dawn, eds. Sensor Technologies: Healthcare, Wellness, and Environmental Applications. Apress, 2014.

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United States. Dept. of Energy. Office of Science and Technology., ed. Characterization, monitoring & sensor technology crosscutting program: Technology summary. U.S. Dept. of Energy, 1996.

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U.S. Dept. of Energy. Characterization, monitoring, and sensor technology crosscutting program. U.S. Dept. of Energy, 1995.

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Book chapters on the topic "Environmental sensor"

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Shekhar, Shashi, and Hui Xiong. "Environmental Sensor Networks." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_358.

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Flurry, Greg. "An Environmental Sensor." In Java on the Raspberry Pi. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7264-0_11.

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McGrath, Michael J., and Cliodhna Ní Scanaill. "Environmental Monitoring for Health and Wellness." In Sensor Technologies. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-6014-1_11.

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Meroth, Ansgar, and Petre Sora. "Environmental Sensors." In Sensor networks in theory and practice. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-39576-6_15.

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Jedlitschka, Andreas, Marco Hack, and Simone Flick. "MUNDUS Environmental Sensor Framework." In Converging Clinical and Engineering Research on Neurorehabilitation. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34546-3_194.

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Rose-Pehrsson, Susan L., and Pehr E. Pehrsson. "Environmental Applications: Sensors and Sensor Systems: Overview." In Nanotechnology and the Environment. American Chemical Society, 2004. http://dx.doi.org/10.1021/bk-2005-0890.ch018.

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Becker, Anna Maria, Carolin Helbig, Abdelrhman Mohamdeen, Torsten Masson, and Uwe Schlink. "Environmental Tracking for Healthy Mobility." In Volunteered Geographic Information. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35374-1_11.

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AbstractEnvironmental stressors in city traffic are a relevant health threat to urban cyclists and pedestrians. These stressors are multifaceted and include noise pollution, heat, and air pollution such as particulate matter. In the present chapter, we describe the use of wearable sensors carried by volunteers to capture their exposure to environmental stressors on their everyday routes. These wearable sensors are becoming increasingly important to capture the spatial and temporal distribution of environmental factors in the city. They also offer the unique opportunity to provide individualized feedback to the person wearing the sensor as well as possibilities to visualize different stressors in their temporal and spatial distribution in a virtual reality environment. We used the option of providing individualized feedback on personal exposure levels in two randomized controlled field studies. In these experiments, we studied the psychological health-related outcomes of carrying a wearable sensor and receiving feedback on one’s individual exposure levels.
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Acevedo, Miguel F. "Dataloggers and Sensor Networks." In Real-Time Environmental Monitoring, 2nd ed. CRC Press, 2023. http://dx.doi.org/10.1201/9781003184362-5.

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Acevedo, Miguel F. "Dataloggers and Sensor Networks." In Real-Time Environmental Monitoring, 2nd ed. CRC Press, 2023. http://dx.doi.org/10.1201/9781003425496-5.

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Stewart, G. "Fiber optic sensors in environmental monitoring." In Optical Fiber Sensor Technology. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-2484-5_5.

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Conference papers on the topic "Environmental sensor"

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Lilly, Alexander, Steven Kopitzke, and Ian Long. "Development of Corrosion Severity Assessment Algorithms Using Environmental Monitoring Sensors in Naval Aviation Environments." In CONFERENCE 2024. AMPP, 2024. https://doi.org/10.5006/c2024-20663.

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Abstract Currently, Naval aircraft are inspected for corrosion based on Reliability Centered Maintenance analysis of component failure rates in a feedback loop scheme. Recently developed sensors allow for the measurement and recording of temperature, relative humidity, and solution conductivity in 30 minute intervals. These sensors were deployed collocated with corrosion witness coupons across two 1-year deployments spanning 26 naval aviation relevant locations. Features were engineered from the sensor data, and algorithms were trained to predict the mass loss observed on the collocated witness coupons. Using leave-one-out-cross-validation, the highest performing algorithms possessed an accuracy of 77% in the classification of site corrosion severity based on Aermet 100 mass loss, a landing gear high strength steel.
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Friedersdorf, Fritz J., Jeff Demo, Conrad Andrews, and Mateja Putic. "Sensor Suite for Monitoring Atmospheric Corrosion." In CORROSION 2012. NACE International, 2012. https://doi.org/10.5006/c2012-01450.

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Abstract Corrosion of aircraft and rotorcraft costs the U.S. Department of Defense billions of dollars annually, and is the largest maintenance cost driver for the Navy and Marine Corps.1,2 Localized corrosion, such as pitting, crevice, exfoliation, and environment assisted cracking, is difficult to detect and degrades structural integrity. Currently, corrosion control is based on costly schedule based maintenance and inspection practices. To enable more efficient condition based maintenance, a wireless corrosion monitoring system has been developed that can support embedded diagnostics and prognostics.3,4 The development of a robust monitoring system for aircraft structural corrosion presents multiple challenges that include sensor system design, and corrosion model development and validation in accelerated tests and service environments. Appropriate sensors must be integrated within a compact, robust package that can be easily retrofit, and that requires minimal operator attention. The need for aircraft corrosion monitoring can be met with an ultra-low power wireless sensor suite with embedded processing that is compatible with energy harvesting technology to achieve very long service life. The sensor system for monitoring environmental parameters, corrosion rates, and cumulative corrosion, and the application of these measurements to classify corrosivity are presented.
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Caseres, Leonardo, and Marta A. Jakab. "Field Deployment of Wireless Sensors to Monitor Coating Degradation and Environmental Corrosivity." In CORROSION 2010. NACE International, 2010. https://doi.org/10.5006/c2010-10175.

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Abstract Impedance based coating degradation, wetness, and cumulative damage sensors were deployed in several US Marine Corps bases. The sensors were placed inside dehumidified storage buildings and on ground vehicles stored outdoors to monitor the performance of corrosion preventive compounds (CPCs), and the severity of the environment as a function of time. The sensors were able to record coating integrity information real-time, and transmit this information remotely from a set of readers and base stations to a web-based portal for convenient monitoring and analysis. The sensor data were in agreement with visual observation of the sensor surface. The sensor information indicated vast differences in corrosivity depending on location, environment/seasonal conditions, storage location and location on vehicle. The least severe condition monitored was the dehumidified storage in Camp Lejeune, where the assets were protected from precipitation and condensation, and the relative humidity levels did not exceed 60%. The most severe conditions were found on vehicles stored on-lot, where coatings applied to boldly exposed surfaces were completely degraded and exposed elements were severely corroded. The CPCs were, however, effective in case of crevices, even under the most severe environmental conditions. In this paper, the results of the 2-year program are summarized.
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Milgrave, Lase, Janis Alnis, and Arturs Bundulis. "Integrated polymer ring resonator sensor for environmental monitoring." In Optical Sensors 2025, edited by Robert A. Lieberman, Francesco Baldini, and Jiri Homola. SPIE, 2025. https://doi.org/10.1117/12.3056628.

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Kininmonth, Stuart. "Considerations in Establishing Environmental Sensor Networks." In 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information. IEEE, 2007. http://dx.doi.org/10.1109/issnip.2007.4496926.

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Kroo, Anne R., Simón Lorenzo, and Olav Solaard. "Optical Sensor Platform for In Situ Environmental Monitoring." In CLEO: Applications and Technology. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/cleo_at.2022.jw3a.14.

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We introduce a biodegradable and remotely-monitored optical sensor platform for physical and thin film chemical sensors and provide an experimental proof of concept of this platform showing temperature, and 1D angular characterization.
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Rapinski, Jacek, and Michal Smieja. "Preliminary Tests of Application of RV3 Robot for IMU Testing and Calibration." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.235.

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The procedure of calibration of IMU sensors is a very challenging and time consuming task. In order to simplify this process a proposition of an automatic station for IMU calibration is presented in this paper. The use of industrial robot allows for unlimited test trajectory design with high precision reference data. In the article a test stand based on the industrial Mitsubishi RV3 robot is presented. The preliminary test included series of movements of ADIS 16354 6DOF IMU sensor mounted on the robot header. The data gained simultaneously from the IMU sensor and the the robot header trajectory were recorded with the PC. Next, the obtained sets of data in the time domain were translated to the unified coordinates and compared. Finally the differences betwen information comming from both sources were calculated and sensor gyro drift was estimated. The results presented in the the paper show that assumed conception makes it possible to determine the drift of the gyroscope in dynamic conditions.
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Renner, Christian, Benjamin Meyer, Daniel Bimschas, et al. "Hybrid underwater environmental monitoring." In SenSys '14: The 12th ACM Conference on Embedded Network Sensor Systems. ACM, 2014. http://dx.doi.org/10.1145/2668332.2668354.

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GAVERINA, LUDOVIC, ANASTASIA LIAPI, JESUS EIRAS FERNANDEZ, et al. "STUDY OF THE FIBER BRAGG’S GRATING SENSOR SENSIBILITY SUBJECTED TO HARSH ENVIRONMENTAL CONDITIONS." In Structural Health Monitoring 2023. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/shm2023/36726.

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This study investigates the performance of Fiber Bragg Grating sensors bonded with an cyanoacrylate adhesive to different substrate materials (titanium, aluminum, and carbon-fiber-reinforced polymers) for Structural Health Monitoring applications in the aeronautical industry. The results show that thermal aging alters the adhesive layer, ultimately modifying the FBG sensor's sensing ability. A finite element model is used to study the most influential factors on the bonding agent and FBG sensor durability.
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Havens, Teresa, Joel Everhart, and Jace McFerran. "Environmental exposure tracking sensor." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Benjamin K. Henderson and M. Brett McMickell. SPIE, 2009. http://dx.doi.org/10.1117/12.815303.

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Reports on the topic "Environmental sensor"

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Susca, Sara, Sonia Martinez, and Francesco Bullo. Monitoring Environmental Boundaries with a Robotic Sensor Network. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada459072.

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White, Brandy J., Martin H. Moore, Kaleb Franco, and Anthony P. Malanoski. Colorimetric Environmental Sensor: Aqueous Indicator Screening (Part I). Defense Technical Information Center, 2018. http://dx.doi.org/10.21236/ad1060523.

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Gurtowski, Luke A., Joshua J. LeMonte, Jay Bennett, Matt Middleton, and Brandon J. Lafferty. Evaluation of multiparameter water meter for Environmental Toolkit for Expeditionary Operations. U.S. Army Engineer Research and Development Center, 2022. http://dx.doi.org/10.21079/11681/44520.

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A new, commercially available, field-portable water sensor was evaluated for efficacy during operation and compatibility with current Environmental Toolkit for Expeditionary Operations (ETEO) software. The ETEO provides sensors to Soldiers to rapidly identify and quantify environmental contamination in soil, air, and water at potential new base sites during initial reconnaissance to ensure Soldier safety and minimize unnecessary remediation efforts by the Army. The primary objective of this study was to enhance ETEO performance by providing the capability to evaluate multiple water quality properties simultaneously.
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Kostov, Yordan, Govind Rao, and Upal Ghosh. Miniature and Low-cost Wireless Sensor Platform for Environmental Monitoring. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada495659.

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Akers, Charles K., and Robert L. Halley. Compact-Fast Response Environmental Health Monitor/Temperature Sensor. Phase 1. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/adb173851.

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Sanders, Frank, John Carroll, Geoffrey Sanders, Edward Drocella, Robert Sole, and Jeffery Devereux. Procedures for Laboratory Testing of Environmental Sensing Capability Sensor Devices. Institute for Telecommunication Sciences, 2017. https://doi.org/10.70220/vrqv11b2.

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Chappell, Mark, Wu-Sheng Shih, Cynthia Price, et al. Environmental life cycle assessment on CNTRENE® 1030 material and CNT based sensors. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42086.

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This report details a study investigating the environmental impacts associated with the development and manufacturing of carbon nanotube (CNT)–based ink (called CNTRENE 1030 material) and novel CNT temperature, flex, and moisture sensors. Undertaken by a private-public partnership involving Brewer Science (Rolla, Missouri), Jordan Valley Innovation Center of Missouri State University (Springfield, Missouri), and the US Army Engineer Research and Development Center (Vicksburg, Mississippi), this work demonstrates the environmental life cycle assessment (ELCA) methodology as a diagnostic tool to pinpoint the particular processes and materials posing the greatest environmental impact associated with the manufacture of the CNTRENE material and CNT-based sensor devices. Additionally, ELCA tracked the degree to which optimizing the device manufacturing process for full production also changed its predicted marginal environmental impacts.
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Sanders, Frank, John Carroll, Geoffrey Sanders, and Robert Sole. Further Procedures for Laboratory Testing of Environmental Sensing Capability Sensor Devices. Institute for Telecommunication Sciences, 2018. https://doi.org/10.70220/zxsdc3h8.

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Bee, Emma, Helen Bridle, Kristofer Chan, et al. Unlocking the potential of sensors for our environment. A call to action from a NERC writing retreat. Coventry University, 2024. http://dx.doi.org/10.18552/csmm/2024/0001.

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Funded by UK Research and Innovation (UKRI), the Constructing a Digital Environment Strategic Priorities Fund (CDE) programme aspired to support the development of a comprehensive ‘digital environment’ ecosystem that best served scientists, policymakers, businesses, and communities. Emphasising multi-disciplinary and inter-disciplinary collaboration, CDE supported a team of challenge-focused researchers from a variety of disciplines to bring to the fore current and future digital advances in sensors that are critical to addressing environmental concerns. From March 2023 to January 2024, the team worked together to develop frameworks that sought to optimise the benefits of both existing and emerging sensor network technologies and their related infrastructure.
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KESTREL CORP ALBUQUERQUE NM. Environmental Assessment for Sensor Development for Passive Diagnosis of Remote Laser Interaction. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada611157.

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