Готові списки джерел за темами / Sensors and IoT devices

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Добірка наукової літератури з теми "Sensors and IoT devices"

Автор: Grafiati

Опубліковано: 7 червня 2025

Оновлено: 2 серпня 2025

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Статті в журналах з теми "Sensors and IoT devices"

Omar, Khaldoon Ammar, Ahmed Dhahir Malik, Ansar Jamil, and Hasan Muwafeq Gheni. "Faulty sensor detection using multi-variate sensors in internet of things (IoTs)." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 3 (2020): 1391. http://dx.doi.org/10.11591/ijeecs.v18.i3.pp1391-1399.

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IoT devices are lightweight and have limited computational capabilities often exposed to harsh environments, which can cause failure on the IoT devices [1, 2]. The failure on the IoT devices is also caused due to limited battery life, hardware failure or human mistakes. Sensor faults can be categorized under one type of hardware failure, such as sensor burn, reduced sensor sensitivity and malfunctioned sensors. Any faulty on the IoT devices can cause a problem on the overall operation of the IoT system. Traditional ways in the management of IoT devices is a maintenance officer require to check

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Kumari, Pilli Lalitha, Allanki Sanyasi Rao, and K.Jamberi. "Effective Communication between IoT Devices using Machine Learning." International Journal of Scientific Methods in Intelligence Engineering Networks 01, no. 05 (2023): 01–09. http://dx.doi.org/10.58599/ijsmien.2023.1501.

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The Internet of Things (IoT) consisting of several interconnected sensors capable of transferring the data over the network without human involvement. All these interconnected sensors can be managed through internet remotely. The Sensors connected in the networks are deployed randomly and are mobile in nature. The loss of sensor’s energy occurs due to the mobility nature, communication between the sensors and operations performed. The perfectly suitable sensor nodes as relay nodes and Cluster Heads (CH), and energy efficient path to the Base Station (BS) should be selected at each and every st

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Matsuo, Keita, and Leonard Barolli. "IoT sensors management system using Agile-Kanban and its application for weather measurement and electric wheelchair management." International Journal of Web Information Systems 16, no. 3 (2020): 281–93. http://dx.doi.org/10.1108/ijwis-06-2020-0036.

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Purpose Recently, Internet of Things (IoT) devices and sensors are rapidly increasing in the word. They are connecting to the internet and are generating vast packets in the network. Thus, the networks could be congested, and the performance will degrade. For this reason, it is important to decrease the number of transmitted packets. Agile is a technique to develop the software and manage the work efficiently. Kanban is a method to support Agile development. The purpose of this paper is to propose an IoT sensors management system considering Agile–Kanban and show its application for weather me

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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 st

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B, Mrs Swetha,. "Child Safety and Vitals Tracking using IoT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31248.

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The basic operation of the proposed child tracking system is that when a violation of child safety is detected, a pulse and temperature sensor in the child module will produce a signal. The safety device monitors the health status of a child using sensors such as temperature sensor, pulse sensor. These sensors produce a signal when violation of child safety is detected. It is incorporated with GPS module to provide location tracking of the device. Parents receive alert through connected devices. Parents receive alerts through connected devices, allowing them to promptly respond to emergencies,

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Naz, Naila, Muazzam A. Khan, Suliman A. Alsuhibany, et al. "Ensemble learning-based IDS for sensors telemetry data in IoT networks." Mathematical Biosciences and Engineering 19, no. 10 (2022): 10550–80. http://dx.doi.org/10.3934/mbe.2022493.

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<abstract><p>The Internet of Things (IoT) is a paradigm that connects a range of physical smart devices to provide ubiquitous services to individuals and automate their daily tasks. IoT devices collect data from the surrounding environment and communicate with other devices using different communication protocols such as CoAP, MQTT, DDS, etc. Study shows that these protocols are vulnerable to attack and prove a significant threat to IoT telemetry data. Within a network, IoT devices are interdependent, and the behaviour of one device depends on the data coming from another device. A

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Huraj, Ladislav, Marek Šimon, and Tibor Horák. "Resistance of IoT Sensors against DDoS Attack in Smart Home Environment." Sensors 20, no. 18 (2020): 5298. http://dx.doi.org/10.3390/s20185298.

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Smart devices along with sensors are gaining in popularity with the promise of making life easier for the owner. As the number of sensors in an Internet of Things (IoT) system grows, a question arises as to whether the transmission between the sensors and the IoT devices is reliable and whether the user receives alerts correctly and in a timely manner. Increased deployment of IoT devices with sensors increases possible safety risks. It is IoT devices that are often misused to create Distributed Denial of Service (DDoS) attacks, which is due to the weak security of IoT devices against misuse. T

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Maisha Putra, I. Gusti Agung Ngurah, I. Kadek Andika Pranata, Ni Made Paramitha Sekar Putri A.P., et al. "PENERAPAN SENSOR CJMCU101 UNTUK MENDUKUNG SISTEM SMART LECTURE ROOM." Jurnal SPEKTRUM 10, no. 4 (2023): 177. http://dx.doi.org/10.24843/spektrum.2023.v10.i04.p22.

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This study presents the design of a Smart Lecture Room system that utilizes light intensity sensors, specifically CJMCU101. These sensors are installed in each classroom to monitor the ambient conditions. The implementation of the designed system was carried out in the classrooms of the Udayana University Electrical Engineering Study Program. To achieve this goal, the classroom utilized by the Electrical Engineering Study Program of Udayana University was divided into two classes (DH101 and DH102) and a sensor was installed in each class as an IoT device. The IoT devices are connected to a Ras

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Liang, Yunji, Xin Wang, Zhiwen Yu, Bin Guo, Xiaolong Zheng, and Sagar Samtani. "Energy-efficient Collaborative Sensing: Learning the Latent Correlations of Heterogeneous Sensors." ACM Transactions on Sensor Networks 17, no. 3 (2021): 1–28. http://dx.doi.org/10.1145/3448416.

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With the proliferation of Internet of Things (IoT) devices in the consumer market, the unprecedented sensing capability of IoT devices makes it possible to develop advanced sensing and complex inference tasks by leveraging heterogeneous sensors embedded in IoT devices. However, the limited power supply and the restricted computation capability make it challenging to conduct seamless sensing and continuous inference tasks on resource-constrained devices. How to conduct energy-efficient sensing and perform rich-sensor inference tasks on IoT devices is crucial for the success of IoT applications.

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Dawod, Anas, Dimitrios Georgakopoulos, Prem Prakash Jayaraman, and Ampalavanapillai Nirmalathas. "A Survey of Techniques for Discovering, Using, and Paying for Third-Party IoT Sensors." Sensors 24, no. 8 (2024): 2539. http://dx.doi.org/10.3390/s24082539.

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The Internet of Things (IoT) includes billions of sensors and actuators (which we refer to as IoT devices) that harvest data from the physical world and send it via the Internet to IoT applications to provide smart IoT services and products. Deploying, managing, and maintaining IoT devices for the exclusive use of an individual IoT application is inefficient and involves significant costs and effort that often outweigh the benefits. On the other hand, enabling large numbers of IoT applications to share available third-party IoT devices, which are deployed and maintained independently by a vari

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Дисертації з теми "Sensors and IoT devices"

Aguiari, Davide. "Named Data Networking in IoT based sensor devices." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13297/.

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In a world running on a “smart” vision, the Internet of Things (IoT) progress is going faster than ever. The term “things” is not just about computer, people and smartphone, but also sensors, refrigerators, vehicles, clothing, food and so on. Internet of Things is the possibility to provide an IP address for every item, so it will have an interface on the Internet network. The household devices will not just being commanded and monitored remotely then, but they will have an active main character role, establishing a communication network between them. The thesis will begin describing a gene

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Cerutti, Gianmarco <1994&gt. "Near Sensor Artificial Intelligence on IoT Devices for Smart Cities." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amsdottorato.unibo.it/9658/1/tesi2.pdf.

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The IoT is in a continuous evolution thanks to new technologies that open the doors to various applications. While the structure of the IoT network remains the same over the years, specifically composed of a server, gateways, and nodes, their tasks change according to new challenges: the use of multimedia information and the large amount of data created by millions of devices forces the system to move from the cloud-centric approach to the thing-centric approach, where nodes partially process the information. Computing at the sensor node level solves well-known problems like scalability

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Söderquist, Mårten. "Tiny Security : Evaluating energy use for security in an IoT application." Thesis, Mittuniversitetet, Institutionen för data- och systemvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-36860.

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IoT devices are increasingly used in the process of gathering scientific data. In environmental monitoring IoT devices can be used as remote sensing devices to collect information about e.g. temperature. To keep data reliable, various security aspects have to be considered. Constrained devices are limited by memory size and battery life, a security solution has to be developed with this in mind. In this study an IoT security solution was developed in collaboration with a research group in environmental science at Umeå University. We selected commonly used algorithms and compare

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Ferm, Robert. "Investigating the impact of nudging on customers’ behavior : A retail store experiment with IoT devices." Thesis, Karlstads universitet, Handelshögskolan (from 2013), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-84605.

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Between 4000-10 000 ads each day every day. That is how many ads we as customers are exposed to individually, each and every day. To reach a higher efficiency in marketing, marketing managers and store owners nowadays aiming to increase the customer satisfaction by striving to understand the customer behavior and their decisioning-making. For the aim of this thesis, we investigated if coloring cues in the retail environment had an impact on customers’ behavior in a specific retail store environment. This experiment was taken place in a small town within Sweden, named Karlstad. The retail store

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Lagerqvist, Alexander, and Tejas Lakshminarayana. "IoT Latency and Power consumption : Measuring the performance impact of MQTT and CoAP." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Datateknik och informatik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-39392.

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The purpose of this thesis is to investigate the impact on latency and power consumption of certain usage environments for selected communication protocols that have been designed for resource constrained usage. The research questions in this thesis is based on the findings in Lindén report “A latency comparison of IoT protocols in MES” and seeks to answer the following: ”How does MQTT impact the latency and power consumption on a constrained device?” ”How does CoAP impact the latency and power consumption on a constrained device?” ”How does usage environment influence the latency for MQTT and

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Stenbrunn, Alf, and Theodor Lindquist. "Hosting a building management system on a smart network camera: On the development of an IoT system." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20517.

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The Internet of Things (IoT) is an umbrella term for smart things connected to the Internet. Connected sensors may be used to the benefit of smart building management systems. This thesis describes the development of a sensor based building management system prototype, lightweight enough to run on a single network camera. The focus of the research was investigating if the system prototype was scalable, and capable of storing and analyzing data gathered from a large amount of sensors relevant to the field of building management. The prototype was developed through a five-stage systems developme

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Araci, Ismail E. "LOW-LOSS, HIGH PERFORMANCE HYBRID PHOTONICS DEVICES ENABLED BY ION-EXCHANGED GLASS WAVEGUIDES." Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/195837.

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Robust ion-exchanged glass waveguides exhibit low optical losses in a broad spectral range and they allow integration of several devices on the same chip due to their planar structure. Consequently, they can be a low cost alternative to semiconductors for fabricating various integrated optical devices. Two high performance photonic devices were designed and realized, demonstrating the potential of glass waveguides. The well-controlled silver-film ion-exchange process allowed the fabrication of: i) a highly sensitive biosensor based on optical absorption and, ii) a low loss hybrid electro-opt

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Azoidou, Eva. "Battery Lifetime Modelling and Validation of Wireless Building Automation Devices in Thread." Thesis, KTH, Kommunikationsnät, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-199957.

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The need for energy eciency in wireless communication is prevalent in all areas,but to an even greater extent in low-power and lossy networks that rely on resourceconstraineddevices. This degree project seeks to address the problem of modellingthe battery lifetime of a duty-cycled node, participating in a wireless sensor networkthat is typically used in smart home and building applications. Modelling inMATLAB combined with experimentation are employed to predict the life expectancyand to validate using a hardware implementation. Various scenarios includingsleepy end devices in a wireless senso

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Yoon, Junro. "A Study of Interface Reaction of Li0.35La0.55TiO3-Li2CO3 and Its Effect on Potentiometric CO2 Gas Sensors." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354666091.

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Nanto, Darack B. "THE ECO-SMART CAN V2.0." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/asrf/2018/schedule/39.

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I noticed that the workers had the same itinerary when emptying trashcans, meanwhile trashcans needed urgently to be emptied. Traditionally, ETSU maintenance operate on daily routes to pick trash on designated time, regardless the level of the containers. This leads to overflown trashcan in busy areas or during rush hours in certain areas. This overflown trashcan result in an unclean environment for the community and an unpleasant look of our beautiful campus. The time, resources and labor invested in collecting the trash could be saved. Therefore, I decided to use the Internet of Things (IoT)

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Книги з теми "Sensors and IoT devices"

Japan) IOT (Conference) (2010 Tokyo. 2010 Internet of things: (IOT 2010) , Tokyo, Japan, 29 November- 1 December 2010. IEEE, 2010.

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Cambridge, Mass ). IOT (Conference) (2014. 2014 International Conference on the Internet of Things (IOT 2014): Cambridge, Massachusetts, USA 6-8 October 2014. IEEE, 2014.

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Heins, Kersten. Trusted Cellular IoT Devices. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19663-8.

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Yasuura, Hiroto, Chong-Min Kyung, Yongpan Liu, and Youn-Long Lin, eds. Smart Sensors at the IoT Frontier. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55345-0.

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Dubey, Ashwani Kumar, Vijayan Sugumaran, and Peter Han Joo Chong, eds. Advanced IoT Sensors, Networks and Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1312-1.

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Liou, Juin J., Shien-Kuei Liaw, and Yung-Hui Chung, eds. Nano Devices and Sensors. De Gruyter, 2016. http://dx.doi.org/10.1515/9781501501531.

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U.S. Army Research Laboratory, ed. Sensors and electron devices. U.S. Army Research Laboratory, 1998.

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Mittal, Mamta, Sudeep Tanwar, Basant Agarwal, and Lalit Mohan Goyal, eds. Energy Conservation for IoT Devices. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7399-2.

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Sagar, Subhash, Adnan Mahmood, and Quan Z. Sheng. Towards Resilient Social IoT Sensors and Networks. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60701-1.

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Heins, Kersten. NB-IoT Use Cases and Devices. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84973-3.

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Частини книг з теми "Sensors and IoT devices"

Familiar, Bob, and Jeff Barnes. "Sensors, Devices, and Gateways." In Business in Real-Time Using Azure IoT and Cortana Intelligence Suite. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2650-6_4.

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Goel, Anuj Kumar. "Integration of MEMS Sensors for Advanced IoT Applications." In Electronic Devices and Circuit Design. Apple Academic Press, 2021. http://dx.doi.org/10.1201/9781003145776-3.

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Okayasu, Takashi, Andri Prima Nugroho, Daisaku Arita, Takashi Yoshinaga, Yoshiki Hashimoto, and Rin-ichiro Tachiguchi. "Sensing and Visualization in Agriculture with Affordable Smart Devices." In Smart Sensors at the IoT Frontier. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55345-0_12.

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De Giovanni, Elisabetta, Farnaz Forooghifar, Gregoire Surrel, et al. "Intelligent Edge Biomedical Sensors in the Internet of Things (IoT) Era." In Emerging Computing: From Devices to Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7487-7_13.

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AbstractThe design of reliable wearable systems for real-time and long-term monitoring presents major challenges, although they are poised as the next frontier of innovation in the context of Internet-of-Things (IoT) to provide personalized healthcare. This new generation of biomedical sensors targets to be interconnected in ways that improve our lives and transform the medical industry. Therefore, they offer an excellent opportunity to integrate the next generation of artificial intelligence (AI) based techniques in medical devices. However, several key challenges remain in achieving this pot

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Xue, Chun Jason. "Redesigning Software and Systems for Nonvolatile Processors on Self-Powered Devices." In Smart Sensors at the IoT Frontier. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55345-0_5.

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Jarial, R. K., Adarsh Dubey, and Abhinav Dubey. "Real-Time Health Monitoring Using IoT Sensors." In Advanced Research in Electronic Devices for Biomedical and mHealth. Apple Academic Press, 2024. http://dx.doi.org/10.1201/9781003424666-7.

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Rani, Preeti, and Rohit Sharma. "An Experimental Study of IEEE 802.11n Devices for Vehicular Networks with Various Propagation Loss Models." In Advanced IoT Sensors, Networks and Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1312-1_11.

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Mwashita, Weston, and Marcel Ohanga Odhiambo. "IoT Sensors." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-9312-7.ch004.

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This research presents a power control method for proximity services (ProSe)-enabled sensors to enable the sensors to be seamlessly incorporated into 5G mobile networks. 5G networks are expected to create an enabling environment for 21st-century advancements such as the internet of things (IoT). Sensors are crucial in the internet of things. A power control strategy involving two power control mechanisms is proposed in this research work: an open loop power control (OLPC) mechanism that can be used by a ProSe-enabled sensor to establish communication with a base station (BS) and a closed loop

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Chayalakshmi, C. L., Mahabaleshwar S. Kakkasageri, Rajani S. Pujar, and Nayana Hegde. "IoT Sensors for Smart Automation." In AI and Blockchain Applications in Industrial Robotics. IGI Global, 2023. http://dx.doi.org/10.4018/979-8-3693-0659-8.ch006.

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The internet of things (IoT) has changed the comforts of every individual. Sensors and communication models play an important role in the effective implementation of IoT systems for any applications. Sensors can be classified based on the parameters to be measured and on the working principles. The second significant component in IoT-based systems is communication models, which help to exchange the data between the two IoT devices. Basically, there are four types of communication models that are commonly used: device to device, device to cloud, device to the gateway, and backend data sharing c

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Malik, Indu, Arpit Bhardwaj, Harshit Bhardwaj, and Aditi Sakalle. "IoT-Enabled Smart Homes." In Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-4991-2.ch008.

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The smart home achieved commerciality in the previous decades because it has increased comfort and quality of human life. Using AI and IoT technology, humans get notifications about the unplaced (not having or assigned to a specific place) things or devices at home. In this chapter, the authors introduce the concept of a smart home with the integration of IoT (internet of things), cloud, and AI. A smart home can be controlled by smartphones, tablets, or PC. The smart home is a collection of smart devices; smart devices have sensors and actuators. All these devices are connected, and they are c

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Тези доповідей конференцій з теми "Sensors and IoT devices"

Krško, Jakub, Peter Peniak, Mário Michálik, Gabriel Gašpar, Vojtech Šimák, and Samuel Valter. "Cybersecurity of IoT Devices and Sensors in Industry 4.0." In 2025 26th International Carpathian Control Conference (ICCC). IEEE, 2025. https://doi.org/10.1109/iccc65605.2025.11022905.

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Tian, Yongchao, Chuwen Huang, Guohao Shangguan, and Yuxin Zhao. "Exploration of Monitoring Devices with Integrated Sensors and IoT Data Processing." In 2025 IEEE 5th International Conference on Electronic Technology, Communication and Information (ICETCI). IEEE, 2025. https://doi.org/10.1109/icetci64844.2025.11084013.

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Gopukumar, S. T., Malik Bader Alazzam, Suresh Babu Kondaveeti, Ban Safar Khalaf, K. Madhavi, and Ponni Valavan M. "Sustainable Biocompatible Sensors for Health Monitoring Using Hybrid Autoencoders-GANs in IoT-Integrated Wearable Devices." In 2025 AI-Driven Smart Healthcare for Society 5.0. IEEE, 2025. https://doi.org/10.1109/ieeeconf64992.2025.10963270.

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Rao, Suhas, Devaiah Chendanda, Chetan Deshpande, and Vishwas Lakkundi. "Implementing LWM2M in constrained IoT devices." In 2015 IEEE Conference on Wireless Sensors (ICWiSe). IEEE, 2015. http://dx.doi.org/10.1109/icwise.2015.7380353.

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Dudnik, Andriy, Ivan Bakhov, Olha Cholyshkina, et al. "Cognitive Positioning Technologies for IoT Network Devices." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001847.

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Nowadays, wireless technologies are increasingly being used for human needs. Increasingly, technologies are emerging that are used by people not only for the need to transfer data. One of these technologies is the Internet of Things, which often uses wireless sensors with ZigBee data transmission technology as end devices.There are areas that require deployment of these networks on the territory, a large number of sensors are required, which must with sufficient accuracy “know” their position on the deployment area. Usually, devices with built-in GPS modules are used for this, but devices cont

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Gomes, Anselmo Lacerda, Antonio Alex M. de Sousa, Vitor B. Estevam, Elton B. Lazzarin, and Levi M. F. de Lima. "Janus: A Tool for Managing Identities for IoT Agents Using Verifiable Credentials." In Anais Estendidos do Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação - SBC, 2024. http://dx.doi.org/10.5753/sbrc_estendido.2024.1724.

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The system proposed in this paper is a solution for monitoring and managing identity issuance processes and access control. This solution uses Verifiable Credentials to add a new security layer over IoT devices and MQTT brokers. Providing a way to deploy and manage Aries agents on IoT Devices through a CLI and ACA-py agents. A credential is issued to the IoT device, specifying the list of sensors it is permitted to use for exporting data. A presentation proof of this credential is required before each sensor data transmission to the broker.

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R, Rajarajeswari, Suchitra D, Praveena V, and Sriram Karthik. "IoT Integrated Advanced Mor-Sockets for Smart Devices." In International Conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility. SAE International, 2023. http://dx.doi.org/10.4271/2023-28-0150.

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<div class="section abstract"><div class="htmlview paragraph">Internet of Thing (IoT) is the connecting network for applications like vehicles, smart devices, buildings etc., with the build in sensors to gather and share information for the user specific needs. The IoT platform offers prospects for a broad and direct integration of the manual world and the digital world by enabling things to be sensed and controlled remotely through existing network infrastructure. Self-contained programs can also be executed on it. This work projects on the integration of the IoT concept to the MO

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"TOPI-01: Topical Track: Sensors and Devices." In 2023 IEEE 9th World Forum on Internet of Things (WF-IoT). IEEE, 2023. http://dx.doi.org/10.1109/wf-iot58464.2023.10539455.

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Kumari, Indra, Mi-Kyung Oh, Yousung Kang, and Dooho Choi. "Rapid Run-Time DRAM PUF Based on Bit-Flip Position for Secure IoT Devices." In 2018 IEEE Sensors. IEEE, 2018. http://dx.doi.org/10.1109/icsens.2018.8589608.

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Toshiyoshi, H. "MEMS Vibrational Energy Harvester for IoT Wireless Sensors." In 2020 IEEE International Electron Devices Meeting (IEDM). IEEE, 2020. http://dx.doi.org/10.1109/iedm13553.2020.9372002.

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Звіти організацій з теми "Sensors and IoT devices"

Olsen. PR-179-07200-R01 Evaluation of NOx Sensors for Control of Aftertreatment Devices. Pipeline Research Council International, Inc. (PRCI), 2008. http://dx.doi.org/10.55274/r0010985.

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Emissions reduction through exhaust aftertreatment is becoming more common. It is likely to play an important role in meeting new emissions regulations in the future. Currently, the predominate aftertreatment technology for NOX reduction in lean burn natural gas engines appears to be selective catalytic reduction (SCR). In SCR, a reducing agent is injected into the exhaust upstream of a catalyst. Supplying the optimal quantity of reagent is critical to effective application of SCR. If too little reagent is supplied then the NOx reduction efficiency may be too low. If too much reagent is provid

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Sonmez Turan, Meltem. Ascon-Based Lightweight Cryptography Standards for Constrained Devices. National Institute of Standards and Technology, 2025. https://doi.org/10.6028/nist.sp.800-232.

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In 2023, the National Institute of Standards and Technology (NIST) announced the selection of the Ascon family of algorithms designed by Dobraunig, Eichlseder, Mendel, and Schläffer to provide efficient cryptographic solutions for resource-constrained devices. This decision emerged from a rigorous, multi-round lightweight cryptography standardization process. The Ascon family includes a suite of cryptographic primitives that provide Authenticated Encryption with Associated Data (AEAD), hash function, and eXtendable Output Function (XOF) capabilities. The Ascon family is characterized by lightw

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Leathers, Emily, Clayton Thurmer, and Kendall Niles. Encryption for edge computing applications. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48596.

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As smart sensors and the Internet of Things (IoT) exponentially expand, there is an increased need for effective processing solutions for sensor node data located in the operational arena where it can be leveraged for immediate decision support. Current developments reveal that edge computing, where processing and storage are performed close to data generation locations, can meet this need (Ahmed and Ahmed 2016). Edge computing imparts greater flexibility than that experienced in cloud computing architectures (Khan et al. 2019). Despite these benefits, the literature highlights open security i

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Kuznetsov, Victor, Vladislav Litvinenko, Egor Bykov, and Vadim Lukin. A program for determining the area of the object entering the IR sensor grid, as well as determining the dynamic characteristics. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/bykov.0415.15042021.

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Currently, to evaluate the dynamic characteristics of objects, quite a large number of devices are used in the form of chronographs, which consist of various optical, thermal and laser sensors. Among the problems of these devices, the following can be distinguished: the lack of recording of the received data; the inaccessibility of taking into account the trajectory of the object flying in the sensor area, as well as taking into consideration the trajectory of the object during the approach to the device frame. The signal received from the infrared sensors is recorded in a separate document in

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Disi, Metitiri. ML-based anomaly detection for IoT Devices. Iowa State University, 2022. http://dx.doi.org/10.31274/cc-20240624-1008.

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Marshall, Amber, Krystle Turner, Carol Richards, Marcus Foth, Michael Dezuanni, and Tim Neale. A case study of human factors of digital AgTech adoption: Condamine Plains, Darling Downs. Queensland University of Technology, 2021. http://dx.doi.org/10.5204/rep.eprints.227177.

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As global agricultural production methods and supply chains have become more digitised, farmers around the world are adopting digital AgTech such as drones, Internet of Things (IoT), remote sensors, blockchain, and satellite imagery to inform their on-farm decision-making. While early adopters and technology advocates globally are spruiking and realising the benefits of digital AgTech, many Australian farmers are reluctant or unable to participate fully in the digital economy. This is an important issue, as the Australian Government has said that digital farming is essential to meeting its tar

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Runyan-Beebe, Christopher Alan. The Rise in the Utilization of IoT Devices in Nuclear Facilities. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1638782.

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Richardson, M., and W. Pan. Operational Considerations for Use of DNS in Internet of Things (IoT) Devices. RFC Editor, 2025. https://doi.org/10.17487/rfc9726.

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Mirkin, C. A., J. R. Valentine, D. Ofer, J. J. Hickman, and M. S. Wrighton. Chemically Sensitive Microelectrochemical Devices: New Approaches to Sensors. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada245798.

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Moran, B., H. Tschofenig, and H. Birkholz. A Manifest Information Model for Firmware Updates in Internet of Things (IoT) Devices. RFC Editor, 2022. http://dx.doi.org/10.17487/rfc9124.

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