Relevant bibliographies by topics / IoT system

Contents

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

Academic literature on the topic 'IoT system'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 June 2025

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Journal articles on the topic "IoT system"

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B, Balaji Sakthivel. "IOT Surveillance System." International Journal of Research Publication and Reviews 4, no. 4 (2023): 4763–64. http://dx.doi.org/10.55248/gengpi.234.4.36705.

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Dangat, Prof M. T. "Industrial Internet of Things (IIOT)." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 2721–26. http://dx.doi.org/10.22214/ijraset.2024.59103.

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Abstract: Industrial Internet of Things (IOT) is a part of IOT (Internet of Things) technology that has provided an opportunity to build powerful industrial system and applications by using different I0T devices like sensors, actuators, Resistance Temperature Detectors, pH analyzers, Level Transmitters, RFIDs, wireless and mobile devices. High-speed internet has given a new hike in development of IOT devices, as it makes remote access facility at ease. Various IOT applications and systems have been developed and deployed in recent years. To understand the development of IOТ technology, this study addresses IIOT concepts through a systematic review of various white papers, research papers and online database.Abstract: Industrial Internet of Things (IOT) is a part of IOT (Internet of Things) technology that has provided an opportunity to build powerful industrial system and applications by using different I0T devices like sensors, actuators, Resistance Temperature Detectors, pH analyzers, Level Transmitters, RFIDs, wireless and mobile devices. High-speed internet has given a new hike in development of IOT devices, as it makes remote access facility at ease. Various IOT applications and systems have been developed and deployed in recent years. To understand the development of IOТ technology, this study addresses IIOT concepts through a systematic review of various white papers, research papers and online database.
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P, Dinesh Karthick. "IOT Traffic Control System." International Journal of Research Publication and Reviews 4, no. 4 (2023): 4473–74. http://dx.doi.org/10.55248/gengpi.4.423.37768.

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Chavan, Ranjit Dattu, Abhijeet Anil Kharade, Shravani Gangadhar Kalkote, Mahesh Satish Akolkar, and Snehal Rajendra Sabale. "Iot Based Aquaponics System." International Journal of Research Publication and Reviews 6, no. 4 (2025): 6833–37. https://doi.org/10.55248/gengpi.6.0425.14162.

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Abosata, Nasr, Saba Al-Rubaye, Gokhan Inalhan, and Christos Emmanouilidis. "Internet of Things for System Integrity: A Comprehensive Survey on Security, Attacks and Countermeasures for Industrial Applications." Sensors 21, no. 11 (2021): 3654. http://dx.doi.org/10.3390/s21113654.

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The growth of the Internet of Things (IoT) offers numerous opportunities for developing industrial applications such as smart grids, smart cities, smart manufacturers, etc. By utilising these opportunities, businesses engage in creating the Industrial Internet of Things (IIoT). IoT is vulnerable to hacks and, therefore, requires various techniques to achieve the level of security required. Furthermore, the wider implementation of IIoT causes an even greater security risk than its benefits. To provide a roadmap for researchers, this survey discusses the integrity of industrial IoT systems and highlights the existing security approaches for the most significant industrial applications. This paper mainly classifies the attacks and possible security solutions regarding IoT layers architecture. Consequently, each attack is connected to one or more layers of the architecture accompanied by a literature analysis on the various IoT security countermeasures. It further provides a critical analysis of the existing IoT/IIoT solutions based on different security mechanisms, including communications protocols, networking, cryptography and intrusion detection systems. Additionally, there is a discussion of the emerging tools and simulations used for testing and evaluating security mechanisms in IoT applications. Last, this survey outlines several other relevant research issues and challenges for IoT/IIoT security.
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S, Deepa, Pradeepkumar V, Saranraj R, Sivaperumal M, and Nanthakumar S. "IOT Based Garbage Monitoring System." International Journal of Psychosocial Rehabilitation 24, no. 04 (2020): 1682–89. http://dx.doi.org/10.37200/ijpr/v24i4/pr201277.

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Ghone, Nitesh, Sanjay Chilwarkar, and Rahul Padwal Prof Vinita Bhandiwad. "IoT based Automated petrol system." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 1974–76. http://dx.doi.org/10.31142/ijtsrd11560.

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Lahande, Priyanka, and Dr Basavaraj Mathpathi. "IoT Based Smart Irrigation System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (2018): 359–62. http://dx.doi.org/10.31142/ijtsrd15827.

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Hande, Priya Ajay, and Dr D. V. Rojatkar. "IOT based Garbage Management System." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (2017): 865–67. http://dx.doi.org/10.31142/ijtsrd4626.

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Chavhan, Roshni V., and Dinesh V. Rojatkar. "IoT Based Garbage Management System." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (2017): 815–17. http://dx.doi.org/10.31142/ijtsrd4677.

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Dissertations / Theses on the topic "IoT system"

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Križanová, Bronislava. "IoT systémy v diagnostice." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417565.

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This master thesis deals with the topic of Internet of Things and its use in technical diagnostic. In theoretical part, there is a description of IoT systems and its parts, history of the IoT, communication modules and cloud systems. The second part of the thesis is focused on the description of technical diagnostic, diagnostic signal, and detailed description of two methods, most appropriate for use in IoT systems and that is vibrodiagnostic and thermodiagnostic. The practical part is focused on the application of the IoT system in technical diagnostics, including the measurement of vibrations and temperature, on the description of application in cloud system and analysis of measured results in cloud system. Prior to the end the more actions in this field of IoT systems has been recommended.
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GUDURU, TABU SRAVANI, and SURYA NARAYANA MURTHY THATAVARTHY. "IoT Based Home Monitoring System." Thesis, Blekinge Tekniska Högskola, Institutionen för matematik och naturvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20900.

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Home surveillance is a major concern in this day and age as with the rapid increase in the technology around us. There is a need to get updated with new possibilities to make our lives better and easy. Some cases and situations exhibit the need for home monitoring. So, we set out to discover a solution to this problem of home monitoring. Generally, we have issues with pets and kids alike such as approaching dangerous places like electric switches, stairs, and hot things. Not only a problem with kids and pets but also a chance of burglary and stranger's unusual activities. To overcome this problem we are designing and prototyping a system to keep an eye on kids, pets, and older people. This system is used in other applications like theft monitoring. The device can monitor the field all the time. In this way, this system helps in-home monitoring. The system consists of Arduino, which is the brain of the system, the PIR sensor, ESP32-CAM, and buzzer. The PIR sensor detects motion then gives input to the Arduino. Arduino gives output to the ESP32-CAM and buzzer. The ESP32-CAM can be activated and sends information to the user through the web Interface and the application. The user can see the video streaming on the PC screen or any other display. The buzzer can emit a high volume signal indicating that "there is an alert at the home".
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Luna, Renato Mercado, Gabriel Benavente Soto, Daniel Subauste Oliden, and Alfredo Barrientos Padilla. "Bike-Sharing Management System Using IoT." Universidad Peruana de Ciencias Aplicadas (UPC), 2021. http://hdl.handle.net/10757/653779.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.<br>Nowadays, due to climate change and many other facts affecting daily life a trend to use eco-friendly transportation ways has arisen, and from them the one mostly used and with the highest acceptance is biking. Therefore, several companies have emerged offering bike-sharing systems, and those systems have been greatly accepted in the different metropolises around the world. The generalization of these systems has created a new need: to manage them efficiently. Consequently, in this work, we propose a software architecture and the implementation of a bike-sharing management system using the Internet of things (IoT).<br>Revisión por pares
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Mukherjee, Somshree. "Ranking System for IoT Industry Platform." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-204571.

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The Internet of Things (IoT) has seen a huge growth spurt in the last few years which has resulted in the need for more standardised IoT technology. Because of this, numerous IoT platforms have sprung up that offer a variety of features and use different technologies which may not necessarily be compliant with each other or with other technologies. Companies that wish to enter theIoT market are in constant need to find the most suitable IoT platform for their business and have a certain set of requirements that need to be fulfilled by the IoT platforms in order for the application to be fully functional. The problem that this thesis project is trying to address is a standardised procedure for selecting the IoT platforms. The project aims to suggest a list of requirements derived from the available IoT architecture models, that must be followed by IoT applications in general, and a subset of these requirements may be specified by the companies as essentials for their application. This thesis project also aims at development of a Web platform to automate this process, by listing the requirements on this website and allowing companies to input their choices,and accordingly show them the list of IoT platforms that comply with their input requirements. A simple Weighted Sum Model is used to rank the search result in order to prioritise the IoT platforms in order of the features that they provide. This thesis project also infers the best IoT architectural model available based on a comparative study of three major IoT architectures with respect to the requirements proposed. Hence the project concludes that this Web platform will ease the process of searching for the right IoT platform andthe companies can therefore make an informed decision about the kind of IoT platform that they should use, thereby reducing their time spent on market research and hence their time-to-market.
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Coutinho, Daniel Filipe Raimundo. "Cloud-based system for IoT data acquisition." Master's thesis, Universidade de Évora, 2021. http://hdl.handle.net/10174/28975.

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IoT permite-nos trazer o mundo físico para o mundo virtual, dando o poder de o controlar e monitorizar. Isto tem encorajado um aumento no interesse em IoT, devido às múltiplas aplicações nos mais variados contextos. Ainda assim sistemas de IoT enfrentam desafios tais como o suporte de altos volume de conexões ou a baixa capacidade de computação face a algoritmos para segurança dos dados. O objectivo desta dissertação é criar um sistema de recolha de dados de sensor de qualidade do ar que resolva esses desafios usando tecnologias de estado de arte, dando preferência a ferramentas de código aberto. O sistema foi implementado em volta Apache Kafka, com Spring Boot e VerneMQ responsáveis por receber dados e PostgreSQL, com plugin Timescale, encarregue de os guardar. Um protótipo do sistema foi implementado usando contentores Docker, mas não foi possível organiza-los com Kubernetes; Abstract: Cloud-based system for IoT data acquisition The purpose of IoT is to bring the physical world into a digital one and allowing it to be controlled and monitored from a virtual standpoint. The interest in IoT has increased due to its many applications in various fields, but IoT systems still deal with challenges such as the support of a high volume of connections or the low processing capacity of devices faced with data security algorithms. The objective of this dissertation is to create a data collection for air quality sensors system, that solves those challenges based on state of the art technologies, giving preference to open-source tools. Implementation was done around Apache Kafka, with Spring Boot and VerneMQ receiving data, HMAC granting a level security on data transport and PostgreSQL with the plugin Timescale storing the data. A prototype of the system was implemented in Docker containers, but we were unable to orchestrate them through Kubernetes.
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Jasti, Madhu Narasimha Rao. "IoT based remote patient health monitoring system." Kansas State University, 2017. http://hdl.handle.net/2097/38268.

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Master of Science<br>Department of Computer Science<br>Daniel A. Andresen<br>With an improvement in technology and miniaturization of sensors, there have been attempts to utilize the new technology in various areas to improve the quality of human life. One main area of research that has seen an adoption of the technology is the healthcare sector. The people in need of healthcare services find it very expensive this is particularly true in developing countries. As a result, this project is an attempt to solve a healthcare problem currently society is facing. The main objective of the project was to design a remote healthcare system. It’s comprised of three main parts. The first part being, detection of patient’s vitals using sensors, second for sending data to cloud storage and the last part was providing the detected data for remote viewing. Remote viewing of the data enables a doctor or guardian to monitor a patient’s health progress away from hospital premises. The Internet of Things (IoT) concepts have been widely used to interconnect the available medical resources and offer smart, reliable, and effective healthcare service to the patients. Health monitoring for active and assisted living is one of the paradigms that can use the IoT advantages to improve the patient’s lifestyle. In this project, I have presented an IoT architecture customized for healthcare applications. The aim of the project was to come up with a Remote Health Monitoring System that can be made with locally available sensors with a view to making it affordable if it were to be mass produced. Hence the proposed architecture collects the sensor data through Arduino microcontroller and relays it to the cloud where it is processed and analyzed for remote viewing. Feedback actions based on the analyzed data can be sent back to the doctor or guardian through Email and/or SMS alerts in case of any emergencies.
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Krasowski, Piotr, and Douglas Troha. "Wireless system design : NB-IoT downlink simulator." Thesis, Uppsala universitet, Signaler och System, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-317877.

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The newly defined NB-IoT standard currently lacks a toolkit and simulator. In order to develop algorithms for this new standard there is a need for channels and signals as reference during tests. MATLAB is commonly used for testing LTE signals and therefore the toolkit was developed in this environment. The toolkit focuses primarily on the Layer 1-relevant functionality of NB-IoT, the grid generation, encoding, rate-matching and modulation of channels. The simulator focuses on testing the developed toolkit in a virtual LTE NB-IoT environment. The virtual environment attempts to emulate a base station and a terminal. The path followed is scheduling, channel processing, grid generation, QPSK and OFDM modulation through a modeled channel, OFDM demodulation, channel estimation, equalisation, QPSK demodulation and reversal of channel processing. The simulator tests primarily the NPDSCH channel implementations. Measurements of bit error and block error rates were made and it was concluded that they follow the expected trends. More testing is required to validate the remaining channels. A sector equaliser and an interpolating equaliser were tested by measuring block error rate and checking constellation diagrams and it was concluded that the performance of the interpolation equaliser is more consistent. In order to improve the equalisation further the noise estimation must be reworked.
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Szabo, Florian Akos. "Modelling of secure communication system for IoT enabled waste management system." Thesis, Luleå tekniska universitet, Datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-76028.

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Urban expansion is a key driving force of our modern world. Increasing environmental footprint is an example issue that is directly caused by it. The city of St. Petersburg employs on average almost 500 garbage trucks on a daily basis and spends more than 1 million US Dollars every year to collect, process and manage waste. In order for megacities, such as St. Petersburg, to cope with its effects, new ideas are needed. This seems to be an obvious area in which technology can be used to improve current practices and help save resources. In this study, we investigate how the Internet of Things, blockchain and Quantum Key Distribution systems can be integrated to provide a safe and efficient method for improving the waste management process in the context of Smart City projects. Our implemented simulations in Mininet show that there are some clear challenges with regards to the adoption of blockchain technology in an IoT environment. However, the integration of quantum channels and the use of Quantum Key Distribution within the blockchain infrastructure shows good potential for balancing the advantages and disadvantages of blockchain. With the implemented simulations we demonstrate the superior capabilities of the Proof of Infrastructure blockchain solution, which can facilitate secure transactions within the waste management scenario.
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Kamatsos, Paraskevas. "Smart Homes : Human interactions and IoT." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-53427.

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This thesis studies the phenomenon of human-system interaction in smart homes as a practice of Internet of Things. The research was conducted through interviews, workshops and observations and followed an interpretive research paradigm of phenomenologically-situated paradigm of HCI and a qualitative research approach. The theories of Phenomenology and Postphenomenology were used to interpret the experiences, beliefs and views of the participants. The empirical findings were processed and a thematic analysis was followed in order to identify the main themes that emerged out of the interviews, workshops and observations. The discussion of the findings showed that the research questions were answered to the grade that the participants of the research design, use and interact with smart homes in a multiple and complex way.
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Mlčák, Petr. "IoT systém pro zahrádkáře." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442383.

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The thesis deals with the design and creation of a weather station suitable for gardeners. The created device is able to measure temperature, pressure, humidity, amount of precipitation, wind speed and direction, UV index and also temperature and soil moisture at several depths. The weather station is powered by a battery with auxiliary charging from a photovoltaic panel. The thesis is divided into several parts. The theoretical part describes the individual physical principles of measurement of the considered physical quantities. Subsequently, a comparison of available sensors is made and then a final selection is made. The third part deals with the design and implementation of the hardware circuitry including the creation of the PCB. In this section, the holders of each sensor are also designed for printing on a 3D printer, which are then printed. The fourth section deals with software design issues, which is described in more detail. Finally, the whole weather station is assembled, wired and the functionality of all components is verified by sending the measured data to Thingspeak.
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Books on the topic "IoT system"

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James, Alice, Avishkar Seth, and Subhas Chandra Mukhopadhyay. IoT System Design. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85863-6.

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Hagar, Jon Duncan. IoT System Testing. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8276-2.

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Bhateja, Vikrant, Jinshan Tang, Dilip Kumar Sharma, Zdzislaw Polkowski, and Afaq Ahmad, eds. Information System Design: Communication Networks and IoT. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4895-2.

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Tekeste Habte, Temesghen, Hani Saleh, Baker Mohammad, and Mohammed Ismail. Ultra Low Power ECG Processing System for IoT Devices. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-97016-5.

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Mallik, Saurav, Hong Qin, Subrata Nandi, Munshi Yusuf Alam, Arup Roy, and Tanvir Habib Sardar, eds. Applications of Computational Learning and IoT in Smart Road Transportation System. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87627-1.

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Singh, Krishna Kant, Anand Nayyar, Sudeep Tanwar, and Mohamed Abouhawwash, eds. Emergence of Cyber Physical System and IoT in Smart Automation and Robotics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66222-6.

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Senjyu, Tomonobu, Parakshit Mahalle, Thinagaran Perumal, and Amit Joshi, eds. IOT with Smart Systems. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-3945-6.

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Choudrie, Jyoti, Parikshit Mahalle, Thinagaran Perumal, and Amit Joshi, eds. IOT with Smart Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-3575-6.

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Hüning, Felix. Embedded Systems für IoT. Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-57901-5.

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Choudrie, Jyoti, Parikshit N. Mahalle, Thinagaran Perumal, and Amit Joshi, eds. IOT with Smart Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3761-5.

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Book chapters on the topic "IoT system"

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Kurniawan, Agus, and Wely Lau. "IoT Telemetry System." In Practical Azure Functions. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5067-9_8.

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Serpanos, Dimitrios, and Marilyn Wolf. "IoT System Architectures." In Internet-of-Things (IoT) Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69715-4_2.

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Ornato, Michele, Tullio Salmon Cinotti, Alberto Borghetti, et al. "9 Application system design: Complex systems management and automation." In IoT Automation. CRC Press, 2017. http://dx.doi.org/10.1201/9781315367897-10.

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Jantunen, Erkki, Mika Karaila, David Hästbacka, et al. "8 Application system design - Maintenance." In IoT Automation. CRC Press, 2017. http://dx.doi.org/10.1201/9781315367897-9.

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Aldrian, Andreas, Peter Priller, Christophy Schmittner, et al. "10 Application system design - High security." In IoT Automation. CRC Press, 2017. http://dx.doi.org/10.1201/9781315367897-11.

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Vera, Daniel, Robert Harrison, Bilal Hamed, Claude le Pape, Chloe Desdouits, and Hasan Derhamy\. "11 Application system design - Smart production." In IoT Automation. CRC Press, 2017. http://dx.doi.org/10.1201/9781315367897-12.

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Albano, Michele, Arne Skou, Luis L. Ferreira, et al. "7 Application system design - energy optimisation." In IoT Automation. CRC Press, 2017. http://dx.doi.org/10.1201/9781315367897-8.

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Sathiyaraj, R., A. Bharathi, and B. Balamurugan. "IoT-Based Intelligent Transportation System (IoT-ITS)." In Advanced Intelligent Predictive Models for Urban Transportation. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003217367-6.

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Kaur, Jaspinder, and Saarthak. "IoT for healthcare system." In Networking Technologies in Smart Healthcare. CRC Press, 2022. http://dx.doi.org/10.1201/9781003239888-13.

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Upendran, Shantha Visalakshi. "IoT-Based Healthcare System." In Intelligent Internet of Things for Smart Healthcare Systems. CRC Press, 2023. http://dx.doi.org/10.1201/9781003326182-4.

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Conference papers on the topic "IoT system"

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Pica, Tudor, Cristina Marghescu, and Rodica Negroiu. "IoT Beehive Monitoring System." In 2024 IEEE 30th International Symposium for Design and Technology in Electronic Packaging (SIITME). IEEE, 2024. https://doi.org/10.1109/siitme63973.2024.10814908.

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S, Avinash, Muthukrishnan S, and R. Aishwarya. "Enhancing IoT ECO System - Smart Parking System." In 2025 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS). IEEE, 2025. https://doi.org/10.1109/sceecs64059.2025.10941013.

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Šenk, Ivana, Laslo Tarjan, Srđan Tegeltija, Vule Reljić, Mladen Babić, and Miloš Stanojević. "DEVELOPMENT OF AN IIOT-READY CONVEYOR SYSTEM." In 19th International Scientific Conference on Industrial Systems. Faculty of Technical Sciences, 2023. http://dx.doi.org/10.24867/is-2023-t2.1-1_04641.

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In recent years, there is a growing trend of developing diverse Industrial Internet of Things (IIoT) devices and systems to support the advancements in industrial systems known as the Industry 4.0. New devices and systems are often developed with connectivity capabilities, however there are many already functioning devices and systems that are initially not able to connect to the network and become a part of the IIoT. This paper presents the development of an IIoT-ready conveyor system, where a traditional conveyor system is enhanced with an IoT module to adapt to the new industrial paradigm. Through the IoT module, the conveyor system can connect to the network and become part of the IIoT, thus allowing data acquisition, remote monitoring and control of the conveyor. The developed system consists of a conveyor belt, electric motor, variable frequency drive (VFD), programmable logic controller (PLC) and a dedicated IoT module that enhances the traditional PLC and enables the integration of the whole system into IIoT.
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Gupta, Anand Kumar, R. Raghavendra, and Alisha Sikri. "IoT And IIoT Integrated Spruce Grid System." In 2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC). IEEE, 2023. http://dx.doi.org/10.1109/peeic59336.2023.10451245.

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Panov, Vili, Samuel Cruz-Manzo, and Egor Goloshchapov. "Smart Industrial Gas Turbine Low-Cost IoT Architecture." In ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/gt2024-124967.

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Abstract The smart energy systems, based on the numerous digital technologies, became an integral part of the current efforts to revolutionize energy production. One of the main cornerstones of smart energy concept is connectivity, which is typically enabled through Industrial Internet-of-Things (IIoT) technology. In this contribution we present a development of Low-Cost Internet-of-Thing (IoT) architecture with the intention to provide a secure and reliable connection of Industrial Gas Turbine (IGT) systems with Cloud environment. We utilized simulation environment, to explore integration of the Executable Digital Twin with IoT Gateway, with subsequent deployment onto dedicated Low-Cost Edge platform. The developed IoT gateway architecture encompasses key features related to connectivity, computing power, and communication capability. The proposed Low-Cost IoT architecture supports Live Data Streaming (LDS) which allows remote monitoring and Real-Time (RT) analytics of IGT system. The IoT gateway platform satisfies the requirements attributed to secure and fast onboarding process, and moreover cost efficiency and scalability. The devised Edge system, via reliable connection to the IGT control system, is able to collect, enrich and transfer data, for the purpose of the local and remote analytics and visualization. The Gas Turbine (GT) trackable data (sensor measurements and control signals) are enriched with the virtual engine data (soft sensors and internal health parameters) generated by the Executable Digital Twin (xDT) and streamed to the Cloud platform, where the Real-Time analytics and optimization of assets are carried out. Feasibility and viability of proposed design are disused in this study, and we present Live Data Streaming into Amazon Web Services (AWS) Cloud environment, configured for the Real-Time monitoring of the Industrial Gas Turbine engine.
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Bellagente, Paolo, Alessandra Flammini, Alessandro Depari, et al. "Applying Automatic System Log Analysis to Industrial Automation Systems for IoT Integration." In 2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT). IEEE, 2023. http://dx.doi.org/10.1109/metroind4.0iot57462.2023.10180164.

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Kodali, Ravi Kishore, Sasweth C. Rajanarayanan, Anvesh Koganti, and Lakshmi Boppana. "IoT based security system." In TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON). IEEE, 2019. http://dx.doi.org/10.1109/tencon.2019.8929420.

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Ramalingam, Kamalakannan, Varunprakash, Selvaseeman, and Manimaran. "IoT based emergency system." In 5TH INTERNATIONAL CONFERENCE ON INNOVATIVE DESIGN, ANALYSIS & DEVELOPMENT PRACTICES IN AEROSPACE & AUTOMOTIVE ENGINEERING: I-DAD’22. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0139983.

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Rajunaik, M., and Enjeti Amareswer. "Irrigation system using IoT." In PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON FRONTIER OF DIGITAL TECHNOLOGY TOWARDS A SUSTAINABLE SOCIETY. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0119809.

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Almawlani, M., K. Alalawi, A. H. Al-Hamami, and A. AlSoufi. "IOT theft capture system." In 3rd Smart Cities Symposium (SCS 2020). Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/icp.2021.0892.

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Reports on the topic "IoT system"

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O'Neill, Zheng, Tao Yang, Jin Wen, et al. IoT-Based Comfort Control and Fault Diagnostics System for Energy-Efficient Homes. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2338244.

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Yaseen, Lama, Nourah Al-Hosain, Ibrahem Shatnawi, and Abdelrahman Muhsen. Impact of Urban Traffic on Fuel Consumption Leveraging IoT Data: Case Study of Riyadh City. King Abdullah Petroleum Studies and Research Center, 2024. https://doi.org/10.30573/ks--2024-dp72.

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This study explores the rising trend of traffic congestion in Riyadh and its impact on fuel consumption for passenger cars amid the challenges of rapid urbanization and increasing vehicle use. By utilizing real-time floating car data (FCD) collected by vehicles equipped with Global Positioning System (GPS) technology and communication systems, this study illustrates the potential of the Internet of Things (IoT) and smart city technologies in developing intelligent transportation systems and improving urban mobility management. A spatial analysis of the traffic flow dynamics in Riyadh, focusing on selected primary highways, reveals that driving on high-capacity roads tends to increase fuel consumption. We conducted an analysis at a mesoscopic level, representing traffic congestion in Riyadh on high-capacity roads. It shows that traffic congestion leads to up to a 29% increase in fuel consumption, primarily due to frequent stop-and-go driving behavior, reducing overall fuel efficiency. This study enhances our understanding of urban traffic patterns, providing policymakers with data-driven insights to help them create more sustainable road planning strategies to address the specific needs and challenges of urban mobility in cities.
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Jengo, Eunice, Salome Maro, and Björn Haßler. Leveraging IOT Systems to Assess and Reduce the Impact of Climate Change in Learning Environments. Open Development & Education, 2025. https://doi.org/10.53832/opendeved.1185.

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Learning environments in low- and middle-income countries are increasingly impacted by climate change, facing challenges such as extreme heat, poor air quality, and noise pollution. However, there is limited research that comprehensively assesses these conditions across diverse climatic zones. This study addresses that gap by designing and piloting a low-cost, energy-efficient, solar-powered IoT system to monitor environmental conditions in schools. Using a mixed-methods, multi-phase research design, the study deploys sensor networks in Tanzanian classrooms—including retrofitted and control spaces—to collect real-time data on temperature, humidity, air quality, and noise levels. Data is transmitted via LoRa to an IoT gateway and then to the cloud using mobile connectivity. The pilot aims to inform decisions on classroom design, scheduling, and retrofitting to mitigate climate-related stress. With plans to scale across other regions and countries, this initiative supports evidence-based interventions for creating more resilient and conducive learning environments in resource-constrained settings.
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Jobe, Keith. Design Specification for Beam Containment System Ion Chamber Gas Systems. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1051386.

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London, Jonathan. Vietnam’s Education System: How Coherent Is It for Learning? Research on Improving Systems of Education (RISE), 2023. http://dx.doi.org/10.35489/bsg-rise-wp_2023/131.

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The disappointing performance of education systems in developing countries in improving learning outcomes has spurred research aimed at establishing what features of education systems determine their effectiveness or failure in improving learning outcomes. There has been special interest in the challenge of making education systems more coherent for learning, i.e., developing systems in which accountability relations among stakeholders across key elements of education policy design support and sustain strong learning outcomes. In the emergent literature on the political economy of education, a great deal of attention has been directed at Vietnam, a lower-middle income country whose results on assessments of learning have been vastly higher than all other countries in its income group and have even surpassed learning assessment results of many OECD countries. This has led to a raft of research papers asking, “how did Vietnam do it?” Addressing this question, this paper explores Vietnam’s education system’s coherence for learning through an analysis of accountability relations across three key elements of education policy design — delegation, finance, and information. Our aim is to ascertain how features of these policy elements’ practice may variously support or undermine the Communist Party of Vietnam’s objective of promoting quality education and improved learning outcomes for all. The potentially surprising answer to the “how coherent” question posed in the title is, not really that much. Analysis finds that Vietnam’s education system remains weakly "coherent around learning" and is best understood as a “formal process compliant” system that, despite its many strengths, is nonetheless underperforming relative to its potential. The implications of this for efforts to enhance the system’s performance around learning are explored in brief.
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Videa, Aldo, and Yiyi Wang. Inference of Transit Passenger Counts and Waiting Time Using Wi-Fi Signals. Western Transportation Institute, 2021. http://dx.doi.org/10.15788/1715288737.

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Passenger data such as real-time origin-destination (OD) flows and waiting times are central to planning public transportation services and improving visitor experience. This project explored the use of Internet of Things (IoT) Technology to infer transit ridership and waiting time at bus stops. Specifically, this study explored the use of Raspberry Pi computers, which are small and inexpensive sets of hardware, to scan the Wi-Fi networks of passengers’ smartphones. The process was used to infer passenger counts and obtain information on passenger trajectories based on Global Positioning System (GPS) data. The research was conducted as a case study of the Streamline Bus System in Bozeman, Montana. To evaluate the reliability of the data collected with the Raspberry Pi computers, the study conducted technology-based estimation of ridership, OD flows, wait time, and travel time for a comparison with ground truth data (passenger surveys, manual data counts, and bus travel times). This study introduced the use of a wireless Wi-Fi scanning device for transit data collection, called a Smart Station. It combines an innovative set of hardware and software to create a non-intrusive and passive data collection mechanism. Through the field testing and comparison evaluation with ground truth data, the Smart Station produced accurate estimates of ridership, origin-destination characteristics, wait times, and travel times. Ridership data has traditionally been collected through a combination of manual surveys and Automatic Passenger Counter (APC) systems, which can be time-consuming and expensive, with limited capabilities to produce real-time data. The Smart Station shows promise as an accurate and cost-effective alternative. The advantages of using Smart Station over traditional data collection methods include the following: (1) Wireless, automated data collection and retrieval, (2) Real-time observation of passenger behavior, (3) Negligible maintenance after programming and installing the hardware, (4) Low costs of hardware, software, and installation, and (5) Simple and short programming and installation time. If further validated through additional research and development, the device could help transit systems facilitate data collection for route optimization, trip planning tools, and traveler information systems.
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Niles, Kendall, Jason Ray, Kenneth Niles, Andrew Maxwell, and Anton Netchaev. Monitoring for analytes through LoRa and LoRaWAN technology. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49457.

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The purpose of this research is to investigate the use of a communication network utilizing Long Range (LoRa) low-power wide-area network protocol for the telemetry of detected target chemicals. The sensor platform under development allows traditional electrochemical techniques to be executed with a low Size, Weight, and Power (low SWaP) system that is deployable using an autonomous or remote-controlled vehicle. Once in the field, the sensors communicate target chemical concentrations to a centralized gateway through LoRa to an Internet of Things (IoT) network. Researchers are currently deploying the prototype network for field testing of each node's sensing, meshing, and communication capabilities throughout all weather climates. Developing a robust and dynamic sensor network to monitor the environment and provide a live data feed to detect chemicals of interest in the environment eliminates the need for direct human interaction. The low power consumption of LoRa allows the network nodes to be deployed for an extended amount of time on a single battery supply.
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Kong, Zhihao, and Na Lu. Field Implementation of Concrete Strength Sensor to Determine Optimal Traffic Opening Time. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317724.

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In the fast-paced and time-sensitive fields of construction and concrete production, real-time monitoring of concrete strength is crucial. Traditional testing methods, such as hydraulic compression (ASTM C 39) and maturity methods (ASTM C 1074), are often laborious and challenging to implement on-site. Building on prior research (SPR 4210 and SPR 4513), we have advanced the electromechanical impedance (EMI) technique for in-situ concrete strength monitoring, crucial for determining safe traffic opening times. These projects have made significant strides in technology, including the development of an IoT-based hardware system for wireless data collection and a cloud-based platform for efficient data processing. A key innovation is the integration of machine learning tools, which not only enhance immediate strength predictions but also facilitate long-term projections vital for maintenance and asset management. To bring this technology to practical use, we collaborated with third-party manufacturers to set up a production line for the sensor and datalogger assembly. The system was extensively tested in various field scenarios, including pavements, patches, and bridge decks. Our refined signal processing algorithms, benchmarked against a mean absolute percentage error (MAPE) of 16%, which is comparable to the ASTM C39 interlaboratory variance of 14%, demonstrate reliable accuracy. Additionally, we have developed a comprehensive user manual to aid field engineers in deploying, connecting, and maintaining the sensing system, paving the way for broader implementation in real-world construction settings.
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Barowy, Adam, Alex Klieger, Jack Regan, and Mark McKinnon. UL 9540A Installation Level Tests with Outdoor Lithium-ion Energy Storage System Mockups. UL Firefighter Safety Research Institute, 2021. http://dx.doi.org/10.54206/102376/jemy9731.

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This report covers results of experiments conducted to obtain data on the fire and deflagration hazards from thermal runaway and its propagation through energy storage systems (ESS). The UL 9540A test standard provides a systematic evaluation of thermal runaway and propagation in energy storage system at cell, module, unit, and installation levels. The data from this testing may be used to design fire and explosion protection systems needed for safe siting and installation of ESS. In addition to temperature, pressure, and gas measurement instruments installed inside of the container, fire service portable gas monitors were placed at locations inside and outside the storage container during the experiments to assess their ability to detect products of thermal runaway and inform fire service size-up decisions. Review section 2.2.3 Fire Service Size-up Equipment to learn more. This research demonstrates a clear need for responding firefighters to have early access to data from instrumentation installed within an ESS, particularly gas measurement instrumentation, available through a monitoring panel. Additionally, it highlights the importance of communication between responding firefighters and personnel responsible for management of the ESS, who can aid in complete evaluation of system data to develop a more clear picture of system status and potential hazards.
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Robson, R., W. Williamson, and J. Hyman. Positive Ion Ejection System (PIES). Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada166560.

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