Relevant bibliographies by topics / Smart monitoring

Academic literature on the topic 'Smart monitoring'

Author: Grafiati
Published: 1 June 2024

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Contents

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

Journal articles on the topic "Smart monitoring":

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M, Ravi Kumar, Jayaprakash S, Racliana NS, Lekha H, Priya S, and Rashmitha Reddy R. "Smart Textile for Healthcare Monitoring." International Journal of Research Publication and Reviews 5, no. 4 (April 11, 2024): 3194–99. http://dx.doi.org/10.55248/gengpi.5.0424.1006.

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Kaushal, Rajesh Kumar, Harini T, Pavithra Lency D, Sandhya T, and Soniya P. "IOT BASED SMART FOOD MONITORING SYSTEM." International Journal of Current Engineering and Scientific Research 6, no. 6 (June 2019): 73–76. http://dx.doi.org/10.21276/ijcesr.2019.6.6.14.

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K, Shahin, Kanimozhi R, and Balachandar A. "IoT Based Smart Horticulture Monitoring System." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 1668–70. http://dx.doi.org/10.31142/ijtsrd23466.

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Zariman, Asnazulfadhli. "Smart Garbage Monitoring." International Journal of Artificial Intelligence 6, no. 1 (September 20, 2019): 75–81. http://dx.doi.org/10.36079/lamintang.ijai-0601.33.

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This study develops a garbage monitoring based on Internet of Things (IoT) that can be used in the garbage management system in the city. Through this project, it can help to keep the city clean from the rubbish. By using Blynk as an application, this project will monitor the garbage bins and send the notification to the garbage collector about the level of garbage collected in the garbage bins. By receiving the information about the garbage level, the garbage collector will come on time in collecting the rubbish. The objective and purpose in developing smart garbage monitoring system is to save the time between users and the garbage collector. Abstrak: Studi ini mengembangkan pemantauan sampah berdasarkan Internet of Things (IoT) yang dapat digunakan dalam sistem pengelolaan sampah di kota. Melalui proyek ini, dapat membantu menjaga kebersihan kota dari sampah. Dengan menggunakan Blynk sebagai aplikasi, proyek ini akan memantau tempat sampah dan mengirimkan pemberitahuan kepada pemulung tentang tingkat sampah yang dikumpulkan di tempat sampah. Dengan menerima informasi tentang tingkat sampah, pengumpul sampah akan datang tepat waktu dalam mengumpulkan sampah. Tujuan dan tujuan dalam mengembangkan sistem pemantauan sampah pintar adalah untuk menghemat waktu antara pengguna dan pengumpul sampah.
5

Kadam, Dr D. B. "Smart Dustbin Monitoring." International Journal for Research in Applied Science and Engineering Technology 7, no. 4 (April 30, 2019): 2284–89. http://dx.doi.org/10.22214/ijraset.2019.4413.

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YA, Divya. "Smart Water Monitoring System using Cloud Service." International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (February 28, 2019): 406–8. http://dx.doi.org/10.31142/ijtsrd21379.

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Masane, Mr Gopal V., Miss Roshani A. Naphade, and Mr Dnyaneshwar R. Raut Mr Nilesh M. Verulkar. "Smart Garbage Monitoring System : Present And Future." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (October 31, 2017): 26–31. http://dx.doi.org/10.31142/ijtsrd2473.

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Gonsor, Oksana. "SMART SYSTEM FOR MONITORING WATER QUALITY PARAMETERS." Measuring Equipment and Metrology 83, no. 4 (2022): 18–23. http://dx.doi.org/10.23939/istcmtm2022.04.018.

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Water is the most crucial factor for all living organisms, so it is essential to protect it. And water quality monitoring is one of the first steps required in the rational development and management of water resources. Smart systems used for real-time quality control and power consumption are rapidly developing. Their implementation in water quality assurance systems is essential and actual. The three-level smart system presented in this article involves the processing of water samples testing results from water supply sources, from the distribution network (consumers), test results of testing laboratories, and data from water consumption accounting systems. Transmission of the obtained results to consumers applying wireless communication technologies is an important system feature.
9

Nagaraju, Mr D., J. Gangaraju, G. Pavan Kumar Reddy, S. Aslam Bhasha, and S. Pramod Kumar Reddy. "Smart Helmet with Driver Monitoring System UsingArduino." International Journal of Research Publication and Reviews 4, no. 4 (April 27, 2023): 4866–68. http://dx.doi.org/10.55248/gengpi.234.4.38298.

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Menon, Karthik Sudhakaran, Brinzel Rodrigues, Akash Prakash Barot, and Prasad Avinash Gharat. "Smart Environmental Monitoring System." International Journal of Green Computing 10, no. 1 (January 2019): 43–54. http://dx.doi.org/10.4018/ijgc.2019010103.

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In today's world, air pollution has become a common phenomenon everywhere, especially in the urban areas, air pollution is a real-life problem. In urban areas, the increased number of hydrocarbons and diesel vehicles and the presence of industrial areas at the outskirts of the major cities are the main causes of air pollution. The problem is seriously intense within the metropolitan cities. The governments around the world are taking measure in their capability. The main aim of this project is to develop a system which may monitor and measure pollutants in the air in real time, tell the quality of air and log real-time data onto a remote server (Cloud Service). If the value of the parameters exceeds the given threshold value, then an alert message is sent with the GPS coordinates to the registered number of the authority or person so necessary actions can be taken. The Arduino board connects with Thingspeak cloud service platform using ESP8266 Wi-Fi module. The device uses multiple sensors for monitoring the parameters of the air pollution like MQ-135, MQ-7, DHT-22, sound sensor, LCD.
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Journal articles Dissertations / Theses Books

Dissertations / Theses on the topic "Smart monitoring":

1

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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MELLO, HELCIO BEZERRA DE. "SMART PROXIES: AUTOMATIC MONITORING AND ADAPTATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2004. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=5792@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
No contexto de aplicações distribuídas, a necessidade de se adaptar a mudanças no ambiente de execução tem se tornado cada vez mais comum. Diversos trabalhos abordam a reconfiguração dinâmica de clientes e servidores em resposta a tais mudanças, inclusive na área da provisão de qualidade de serviço (QoS). Esta dissertação explora o uso da reflexividade em uma arquitetura popular de middleware (CORBA) e emprega ferramentas adicionais para o desenvolvimento de um proxy inteligente. Um dos pontos principais desse proxy é sua simplicidade de uso, pois requer poucos parâmetros para ser instanciado e reage a eventos externos automaticamente. Esse comportamento é obtido pela combinação da flexibilidade do binding LuaOrb com a conveniência das bibliotecas LuaTrading e LuaMonitor; a especificação das propriedades relevantes para a adaptação dinâmica é feita através de descritores simples e de fácil reutilização. Finalmente, este trabalho oferece mecanismos para upload e download de stubs especializados, com o objetivo de executar procedimentos de adaptação mais específicos. Com o objetivo de demonstrar uma possível aplicação para o proxy inteligente, apresentamos seu uso em um jogo simplificado para adaptá-lo automaticamente a eventos de escassez de recursos simulados.
In the context of distributed applications, the need for adapting to changes in the execution environment is growing steadily. Several works deal with dynamic reconfiguration of clients and servers in response to such changes, including situations where provision of Quality of Service (QoS) is concerned. This thesis proposes the use of reflexivity in a popular middleware architecture (CORBA) and other tools to develop a smart proxy. One of its main points is usage simplicity, for the proxy requires few parameters to be instantiated and reacts to external events automatically. That behavior is achieved by combining the flexibility of the LuaOrb binding and the convenience of the LuaTrading and LuaMonitor libraries; the statement of properties relevant to the dynamic adaptation is accomplished by simple and easy-to-reuse descriptors. Finally, this work offers mechanisms to upload and download specialized stubs as to carry out more specific adaptation procedures. In order to demonstrate a possible application of the smart proxy, we present a simple game that employs it to automatically adapt to simulated resource shortage events.
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Kotb, A. O. "Smart parking : guidance, monitoring and reservations." Thesis, University of Liverpool, 2016. http://livrepository.liverpool.ac.uk/3003435/.

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Today, parking is the main coordinator between the land use and transportation. As the urban population is increasing, more and more cars are circulating through the city in search for parking spaces, often contributing to the global problem of traffic congestion. Hence, several governments seek to improve their existing transportation systems and infrastructure. Examples of their initiatives include the launch of ‘Smart Parking’ projects in major urban areas. However, the developments to date in this area have some significant limitations lodged against them. In this dissertation, we propose 3 different smart parking systems: iParker, INDO and RFPark, to enhance the overall parking scheme. First, iParker and INDO are introduced as new parking management and reservations systems. Both change the parking behaviour from driver-side parking searching to system-side allocation. This is achieved by solving new Mixed Integer Linear Programming (MILP) optimisation problems with the objective of minimising driver's cost functions, while ensuring the maximum parking resource utilisation. Nevertheless, there are several differences between iParker and INDO. iParker is designed to operate as a country-wide system to offer drivers the optimal parking lot allocation and reservation before or at arrival to their destinations. This is based on minimising a driver's cost function that combines parking cost, reservation fees, proximity to multiple destinations and reservation type. As opposed to current reservation systems, iParker offers both static long-term reservations and dynamic short-term reservations, for both on-street and off-street parking lots. In addition, new pricing policies are proposed that allow the generation of more parking revenue and the fair distribution of parking traffic across parking lots. However, INDO is designed to operate inside individual parking lots who serve giant buildings - such as shopping malls - to offer the drivers the immediate optimal parking space allocation and the indoor guidance. A driver’s cost function here combines the times of driving inside the parking lot and walking inside the indoor destination. In addition, a Radio Frequency Identification/Near Field Communication (RFID/NFC) based navigation component is developed to provide commuters with guidance and navigation in the car park and the indoor destination. Based on simulation results, compared to the non-guided or the state-of-the-art guidance-based systems, iParker and INDO significantly reduce the average time to find a parking space and the drivers' cost, while the parking resources are more efficiently utilised. The pricing policies of iParker lead to the generation of more revenue and fair balance of traffic load across parking lots. In addition, INDO substantially reduces the commuting time indoors. On the other hand, RFPark is proposed as a new approach to parking monitoring. For the first time, Ultra High Frequency (UHF) passive RFID tags are deployed on the asphalt, and interrogated by RFID reader antennas above the parking spaces to detect the occupancy states. Most of the problems of the current cutting-edge parking occupancy detection systems are not present in this system. RFPark was analysed and implemented to show a pilot study in a real world outdoor parking environment in the University of Liverpool and has proved to have a very high detection accuracy. The innovative design and development of these 3 systems form a new ‘Smart Parking’ solution that offers to reduce the parking-related traffic congestion, enhance driver experience and improve the overall parking scheme. Although there are some challenges regarding the realisation of these smart systems, they are addressed here and solutions to them are proposed in this dissertation.
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Uddin, Alina, and Julia Anderberg. "Smart Dressing : Towards Digitalized Wound Monitoring." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-45148.

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Digitalization of health care is one of the most prioritized areas within the healthcare community. Within chronic wound care, considered the silent epidemic and one of the most expensive and unsolved burdens to the medical system, the next generation of wound dressings with abilities of real-time monitoring has attracted considerable attention. The most frequent complication in a chronic wound is infection. Infection in chronic wounds not detected in time can lead to amputation of limbs or even death. Real-time monitoring of chronic wounds gives possibilities to detect infection in early stages and avoids unnecessary wound dressing changes since the change disturbs healing. Here, a prototype of an infection detection dressing has been designed. Flexible and biocompatible sensors for wound temperature and wound pH level has been used. Measured values are transmitted via Bluetooth to an Android smartphone Application where measured values are displayed together with a Wound Status Bar. Based on the Arduino Nano electronics platform, the system connects to the smartphone application, measures and displays measured values, and the wound status bar responds correctly to changes in the measured values. The prototype developed highlights questions that need to be solved when moving into the next generation of real-time monitoring wound dressings.
Digitalisering av sjukvården är ett av de mest prioriterade området inom den medicinska utvecklingen. Inom området behandling av kroniska sår, som anses vara en dold sjukdom och är en av den mest kostsamma och olösta bördan inom sjukvården, har utvecklingen av nästa generations sårförband som ska övervaka ett kroniskt sår i realtid uppmärksammats och skapat ett stort intresse. Den mest vanliga komplikationen i ett kroniskt sår är att såret blir infekterat. Om en infektion i ett sår inte blir upptäckt och behandlat i tid kan det leda till amputering av lemmar och till och med död. Med ett real-tids övervakande förband kan en infektion upptäckas i tid men kan även förhindra onödiga byten av förband då även förbandsbyten påverkar det kroniska sårets läkning. Genom att integrera flexibla och biokompatibla sensorer i ett förband som mäter temperatur och pH-värde i såret, och sedan skicka sensor data via Bluetooth till en Android applikation där data visuellt visas, har en prototyp av en infektions detekterande enhet utvecklats. Projektet resulterade i ett system där sensorerna och en Bluetooth modul kopplades till en Arduino Nano. Sensor data skickas via Bluetooth till en Android applikation där mätvärdena visas och även en indikator som uppdateras beroende på ändringar i sårets status. Framtagningen av protypen har genererat viktiga frågeställningar att överväga när nästa generations real-tids övervakande förband ska utvecklas.
5

Possanzini, Luca <1993&gt. "Smart Textile Sensors for Healthcare Monitoring." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amsdottorato.unibo.it/10302/1/tesiPhD_LP.pdf.

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Wearable electronic textiles are an emerging research field playing a pivotal role among several different technological areas such as sensing, communication, clothing, health monitoring, information technology, and microsystems. The possibility to realise a fully-textile platform, endowed with various sensors directly realised with textile fibres and fabric, represents a new challenge for the entire research community. Among several high-performing materials, the intrinsically conductive poly(3,4-ethylenedioxythiophene) (PEDOT), doped with poly(styrenesulfonic acid) (PSS), or PEDOT:PSS, is one of the most representative and utilised, having an excellent chemical and thermal stability, as well as reversible doping state and high conductivity. This work relies on PEDOT:PSS combined with sensible materials to design, realise, and develop textile chemical and physical sensors. In particular, chloride concentration and pH level sensors in human sweat for continuous monitoring of the wearer's hydration status and stress level are reported. Additionally, a prototype smart bandage detecting the moisture level and pH value of a bed wound to allow the remote monitoring of the healing process of severe and chronic wounds is described. Physical sensors used to monitor the pressure distribution for rehabilitation, workplace safety, or sport tracking are also presented together with a novel fully-textile device able to measure the incident X-ray dose for medical or security applications where thin, comfortable, and flexible features are essential. Finally, a proof-of-concept for an organic-inorganic textile thermoelectric generator that harvests energy directly from body heat has been proposed. Though further efforts must be dedicated to overcome issues such as durability, washability, power consumption, and large-scale production, the novel, versatile, and widely encompassing area of electronic textiles is a promising protagonist in the upcoming technological revolution.
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Iong, Kuoc-Vai. "Smart structure integrity monitoring using transient response." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq26332.pdf.

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Guzmán, Jesús García. "Smart ratiometric ASIC chip for VOC monitoring." Thesis, University of Warwick, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.422141.

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Ogawa, Mami Jennifer. "Monitoring and evaluation of smart motorway schemes." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/413955/.

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Smart motorway schemes aim to address congestion issues and improve journey time reliability by utilising a set of advanced Intelligent Transport Systems applications and making use of the existing road space as much as possible. The M42 Smart Motorway Pilot, introduced in September 2006 by the Highways Agency (known as Highways England since April 2015), established the concept of Hard Shoulder Running (HSR) for the first time in the UK, together with variable mandatory speed limits during periods of congestion. Following the success of the Pilot, smart motorways are being rolled-out to other sections of Highways England’s strategic road network. This research has been carried out to understand the performance of smart motorways and its limiting factors. A review of the concept of highways capacity was carried out to understand the parameters that influence traffic conditions during smart motorway operations. This was followed by a series of analysis using empirical data which examined the performance of existing smart motorways schemes on the M42 and M6 motorways near Birmingham, UK. Overall, smart motorway schemes have significantly reduced average journey times and journey time variability, improved motorway capacity and smoothed traffic flow. The level of benefits observed varied from one scheme to another mainly due to the different site conditions (road geometry, traffic demand and patterns). However, each scheme consistently demonstrated considerable improvements when compared to non-smart motorway conditions. One of the aims of smart motorways is to improve the distribution of traffic between lanes. Examination of the data showed that hard shoulder utilisation increased with traffic demand, however, it was potentially underutilised and influenced by the proportion of traffic leaving at the next junction. A multivariate analysis was carried out to establish a model which described motorway capacity during smart motorway operations using various traffic parameters. The findings from this research can be applied to assist in the application of smart motorways both in and outside of the UK, to reduce wasted time for commuters, business trips and freight movement. It is recommended that the study is taken further with the newly introduced smart motorway schemes, which will include additional parameters such as local physical characteristics of the road (e.g. width, gradient, curvature) and the operation of All Lane Running.
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Storozhev, Dmitry Leonidovich. "Smart Rotating Machines for Structural Health Monitoring." Cleveland State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=csu1262724991.

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Erasmus, Zenville. "Smart renewable energy : architectures, dimensioning and monitoring." Thesis, University of the Western Cape, 2017. http://hdl.handle.net/11394/5525.

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>Magister Scientiae - MSc
The Smart Renewable Energy project at the University of The Western Cape, under the guidance of the Intelligent Systems and Advanced Telecommunication (ISAT) group, aims at developing a dynamic system that enables users to (1) design smart architectures for next generation wind and solar systems to meet African power challenges (2) use these architectures to dimension the underlying solar and wind power systems and (3) simulate, implement and evaluate the performance of such power systems. The project's existing web and mobile monitoring system will undergo a much needed upgrade to cater for monitoring of the existing system's environmental and battery bank parameters. This will be implemented by allowing users to monitor input, storage and output trends over various time frames. These time frames would include hourly, daily, weekly and monthly readings. The visual evaluation of the system will be generated by mathematical, statistical and machine learning techniques. Trends will be discovered that will allow users to optimize the system's efficiency and their usage patterns. The accompanied dimensioning system will allow users to cater for their needs in a two way fashion. Users will be able to specify the number of devices that they want to run from a solar or wind based system and their power needs will be generated. They will also be able to determine what a given system is capable of producing and the number of devices that can be used simultaneously, as a result.
National Research Foundation (NRF) and Namibia Students Financial Assistance Fund (NSFAF)
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Books on the topic "Smart monitoring":

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Yu, Edward Chun-Keung. Real-time monitoring in smart PICs. Ottawa: National Library of Canada, 2001.

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Gupta, Meenu, Gopal Chaudhary, and Victor Hugo C. de Albuquerque. Smart Healthcare Monitoring Using IoT with 5G. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003171829.

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Kyung, Chong-Min, ed. Smart Sensors for Health and Environment Monitoring. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9981-2.

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Björn, Gottfried, and Aghajan Hamid K, eds. Behaviour monitoring and interpretation - BMI: Smart environments. Amsterdam: IOS Press, 2009.

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Björn, Gottfried, and Aghajan Hamid K, eds. Behaviour monitoring and interpretation - BMI: Smart environments. Amsterdam: IOS Press, 2009.

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Chaari, Fakher, Xavier Chiementin, Radoslaw Zimroz, Fabrice Bolaers, and Mohamed Haddar, eds. Smart Monitoring of Rotating Machinery for Industry 4.0. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-79519-1.

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Mukhopadhyay, Subhas C., ed. Smart Sensing Technology for Agriculture and Environmental Monitoring. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27638-5.

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Mukhopadhyay, Subhas C., and Alex Mason, eds. Smart Sensors for Real-Time Water Quality Monitoring. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37006-9.

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Mukhopadhyay, Subhas C. Smart Sensing Technology for Agriculture and Environmental Monitoring. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Soh, Chee-Kiong, Yaowen Yang, and Suresh Bhalla. Smart Materials in Structural Health Monitoring, Control and Biomechanics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24463-6.

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Book chapters on the topic "Smart monitoring":

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Paradiso, Rita, Gianluca De Toma, and Carlo Mancuso. "Smart Textile Suit." In Seamless Healthcare Monitoring, 251–77. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69362-0_9.

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You, Jane, Qin Li, Zhenhua Guo, and Ruohan Zhao. "Smart Fetal Monitoring." In Information Science and Applications 2017, 494–503. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4154-9_57.

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Chalmers, Carl. "Smart Health Monitoring Using Smart Systems." In Smart Cities, 773–92. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119226444.ch27.

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Varshney, Upkar. "Monitoring and Estimating Medication Abuse." In Smart Health, 169–74. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29175-8_15.

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Woźniak, Jacek. "Electronic monitoring systems and smart monitoring." In Workplace Monitoring and Technology, 180–213. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003199502-7.

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Uddin, Mohammed Misbah, Nithin Devang, Abul K. M. Azad, and Veysel Demir. "Remote Structural Health Monitoring for Bridges." In Smart Industry & Smart Education, 363–77. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95678-7_41.

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Masucci, Dario, Chiara Foglietta, Cosimo Palazzo, and Stefano Panzieri. "Smart Environment Monitoring Testbed." In Advances in Intelligent Systems and Computing, 787–98. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1165-9_72.

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Radhika, V., V. Madhan Babu, and S. Jayaprakash. "Smart Traffic Monitoring System." In International Conference on Artificial Intelligence for Smart Community, 287–96. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-2183-3_28.

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Bragadeesh, A., S. Harish, and N. Sabiyath Fatima. "Smart Traffic Monitoring System." In Lecture Notes in Electrical Engineering, 259–69. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5994-5_24.

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Rejab, Fahmi Ben, and Kaouther Nouira. "Smart Health Monitoring System." In TELe-Health, 81–101. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99457-0_5.

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Conference papers on the topic "Smart monitoring":

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ABAYA, MEREL TANNOUS, and YISKA GOLDFELD. "SUSTAINABLE SMART SELF-SENSORY INFRASTRUCTURES FOR LEAKAGE DETECTION." In Structural Health Monitoring 2023. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/shm2023/37002.

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The study aims to develop sustainable smart self-sensory infrastructures with leakage detection capabilities. To answer this goal the study offers to combine two advanced technologies, namely: smart textile reinforcement (TR) and magnesium phosphate cement (MPC). The TR is produced with AR-glass and carbon yarns, in which the electrical conductivity of the carbon yarns enables them to be used also as smart self-sensory agents. The study presents the feasibility of the TR-MPC smart pipe concept by demonstrating its production possibilities, as well as its sensory capabilities to detect and distinguish between the magnitude of leakage events.
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Su, Charles Q. "Smart condition monitoring." In 2014 IEEE Electrical Insulation Conference (EIC). IEEE, 2014. http://dx.doi.org/10.1109/eic.2014.6869362.

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Pant, Manisha, Jitendra Singh Jadon, Reshu Agarwal, and Santosh Kumar Sinha. "Smart Monitoring System using Smart Glove." In 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2021. http://dx.doi.org/10.1109/icrito51393.2021.9596313.

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LIU, HUA, APARNA DESHMUKH, KONSTANTIN SOBOLEV, NATHAN SALOWITZ, and JIAN ZHAO. "A COMPARISON OF SENSING TECHNOLOGIES DETECTING DAMAGE AND CHANGES IN SMART CONCRETE." In Structural Health Monitoring 2021. Destech Publications, Inc., 2022. http://dx.doi.org/10.12783/shm2021/36270.

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This paper presents results of a study of smart concrete with a combination of surface-mounted lead zirconate titanate (PZT) piezoelectric transducers and electrical resistivity-based sensing systems. Tests were performed to identify their sensitivities to concrete properties including cure state, load, and cracking. The smart concrete slab was created with added graphene nano-platelets, internal electrodes, and fiber reinforcement supporting electrical resistivity mapping. Electrical resistivities were measured over the curing time and with external loads applied to the cured specimens. The test results indicated that electrical resistivity was effective in detecting curing conditions of cement-based material. In addition, both piezoelectric transducers and smart concrete were effective in detecting cracks generated during a three-point bending test.
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Leone, Giuseppe Riccardo, Davide Moroni, and Gabriele Pieri. "Smart Cities: Parking Monitoring Through Smart Cameras." In 2019 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2019. http://dx.doi.org/10.1109/iccw.2019.8756791.

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Moroni, Davide, Gabriele Pieri, Giuseppe Riccardo Leone, and Marco Tampucci. "Smart cities monitoring through wireless smart cameras." In the 2nd International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3309772.3309789.

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Jain, Akshat, Shraddha Basantwani, Owais Kazi, and Yogita Bang. "Smart surveillance monitoring system." In 2017 International Conference on Data Management, Analytics and Innovation (ICDMAI). IEEE, 2017. http://dx.doi.org/10.1109/icdmai.2017.8073523.

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Hammami, Amir. "Smart Environment Data Monitoring." In 2019 International Conference on Computer and Information Sciences (ICCIS). IEEE, 2019. http://dx.doi.org/10.1109/iccisci.2019.8716469.

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Nabi, Javaid, Abhijit Rajashekar Doddamadaiah, and Raghav Lakhotia. "Smart Dietary Monitoring System." In 2015 IEEE International Symposium on Nanoelectronic and Information Systems (iNIS). IEEE, 2015. http://dx.doi.org/10.1109/inis.2015.20.

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Alexandru, Pop, Manea Andrei, Sabau Cristina-Madalina, and Ovidiu Stan. "Smart environmental monitoring beacon." In 2018 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR). IEEE, 2018. http://dx.doi.org/10.1109/aqtr.2018.8402701.

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Reports on the topic "Smart monitoring":

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Miller, Karen Ann. Smart Monitoring of Nuclear Facilities. Office of Scientific and Technical Information (OSTI), October 2018. http://dx.doi.org/10.2172/1477609.

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Rowe, Charlotte. SMART Cables - Expanding Global Seafloor Observation and Monitoring. Office of Scientific and Technical Information (OSTI), February 2024. http://dx.doi.org/10.2172/2318917.

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Chaplya, Pavel Mikhail. New smart materials to address issues of structural health monitoring. Office of Scientific and Technical Information (OSTI), December 2004. http://dx.doi.org/10.2172/920836.

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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, September 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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Ou, Shichao, Deepak R. Karuppiah, Andrew H. Fagg, and Edward Riseman. An Augmented Virtual Reality Interface for Assistive Monitoring of Smart Spaces. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada439229.

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Mahlberg, Justin A., Raja Manish, Yerassyl Koshan, Mina Joseph, Jidong Liu, Haydn A. Malackowski, Zechariah DeLoach, et al. Salt Monitoring and Reporting Technology (SMART) for Salt Stockpile Inventory Reporting. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317650.

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Transportation agencies in northern environments spend a considerable amount of their budget on salt for winter operations. For example, in the state of Indiana, there are approximately 120 salt storage facilities distributed throughout the state and the state expends between 30 M USD and 60 M USD on inventory and delivery each year. Historical techniques of relying on visual estimates of salt stockpiles can be inaccurate and unhelpful for managing the supply chain during the winter or planning for re-supply during the summer months. This project report describes the implementation of a portable and permanent LiDAR system that can be used to inventory indoor stockpiles of salt in under 15 min and describes how this system has been deployed over 300 times at over 120 facilities. A quick and easy accuracy test, based on the conservation of volume, was used to provide an independent check on the system performance by repositioning portions of the salt pile. Those tests indicated stockpile volumes can be estimated with an accuracy of 1%–3% of indicated stockpile volumes. The report concludes by discussing how this technology can be permanently installed for systematic monitoring throughout the year.
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Miller, Karen Ann. Exploring the Use of Activity Patterns for Smart Monitoring of Nuclear Facilities. Office of Scientific and Technical Information (OSTI), July 2017. http://dx.doi.org/10.2172/1369165.

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Balyk, Nadiia, Svitlana Leshchuk, and Dariia Yatsenyak. Developing a Mini Smart House model. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3741.

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The work is devoted to designing a smart home educational model. The authors analyzed the literature in the field of the Internet of Things and identified the basic requirements for the training model. It contains the following levels: command, communication, management. The authors identify the main subsystems of the training model: communication, signaling, control of lighting, temperature, filling of the garbage container, monitoring of sensor data. The proposed smart home educational model takes into account the economic indicators of resource utilization, which gives the opportunity to save on payment for their consumption. The hardware components for the implementation of the Mini Smart House were selected in the article. It uses a variety of technologies to conveniently manage it and use renewable energy to power it. The model was produced independently by students involved in the STEM project. Research includes sketching, making construction parts, sensor assembly and Arduino boards, programming in the Arduino IDE environment, testing the functioning of the system. Research includes sketching, making some parts, assembly sensor and Arduino boards, programming in the Arduino IDE environment, testing the functioning of the system. Approbation Mini Smart House researches were conducted within activity the STEM-center of Physics and Mathematics Faculty of Ternopil Volodymyr Hnatiuk National Pedagogical University, in particular during the educational process and during numerous trainings and seminars for pupils and teachers of computer science.
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Chaparadza, Diana. An Analysis of Patient-Generated Health Data in Assisting Nurses and Physicians to Better Treat Patients with Hypertension. University of Tennessee Health Science Center, November 2020. http://dx.doi.org/10.21007/chp.hiim.0080.

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Patient Generated Health Data (PGHD is not new but it has gained more attention these past years due to the advent of smart devices, remote monitoring devices and many applications on various smart devices. PGHD reflects medications and treatment, lifestyle choices, and health history. Unlike traditional medical visits, where clinicians collect and manage data within their offices, PGHD is collected by patients throughout the course of their day and provides an insight of how they are responding to treatments or lifestyle choices. Examples include blood glucose monitoring or blood pressure readings using home health equipment, exercise and diet tracking using mobile applications or wearable devices such as the Fitbit or other smart watches.
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Jens, Greinert. Mine Monitoring in the German Baltic Sea 2021; Dumped munition monitoring - AL567, 17th – 31st October 2021, Kiel (Germany) – Kiel (Germany), „MineMoni‐III 2021“ - Alkor-Berichte AL567. GEOMAR Helmholtz Centre for Ocean Research Kiel, 2023. http://dx.doi.org/10.3289/cr_al567.

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ALKOR cruise AL567 took place as part of the EMFF (European Maritime and Fisheries Fund)‐funded project BASTA (Boost Applied munition detection through Smart data 3etection3n and AI workflows; https://www.basta‐munition.eu) and ExPloTect (Ex‐situ, near‐real‐time 3etection compound 3etection in seawater) (also EMFF‐funded). It was the continuation of the munition monitoring started within the BMBF‐funded project UDEMM (Environmental Monitoring for the Delaboration of Munition in the Sea; https://udemm.geomar.de/).

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