Academic literature on the topic 'Smart embedded micro-Network'
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Journal articles on the topic "Smart embedded micro-Network":
Chinnamadha, Nagaraj, Roshan Zameer Ahmed, and Kumara Kalegowda. "Development of health monitoring system using smart intelligent device." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 3 (October 7, 2022): 1381. http://dx.doi.org/10.11591/ijeecs.v28.i3.pp1381-1387.
Galata, Evdokia, Eleni A. Georgakopoulou, Maria-Emmanouela Kassalia, Nefeli Papadopoulou-Fermeli, and Evangelia A. Pavlatou. "Development of Smart Composites Based on Doped-TiO2 Nanoparticles with Visible Light Anticancer Properties." Materials 12, no. 16 (August 14, 2019): 2589. http://dx.doi.org/10.3390/ma12162589.
Huan, Sha, Limei Wu, Man Zhang, Zhaoyue Wang, and Chao Yang. "Radar Human Activity Recognition with an Attention-Based Deep Learning Network." Sensors 23, no. 6 (March 16, 2023): 3185. http://dx.doi.org/10.3390/s23063185.
Srirampavan, J. "Smart Secured Real Time Agriculture Monitoring System." International Journal of Engineering & Technology 7, no. 3.6 (July 4, 2018): 281. http://dx.doi.org/10.14419/ijet.v7i3.6.15043.
Krishna Anne, VP, Kuricheti R V Siva Naga Durg, Rama Krishna Muddineni, and Surya Gowtham Peri. "Smart irrigation using WSN based on IOT." International Journal of Engineering & Technology 7, no. 2.8 (March 19, 2018): 331. http://dx.doi.org/10.14419/ijet.v7i2.8.10435.
Ransom, Elliot, Xiyuan Chen, and Fu-Kuo Chang. "Design of a Robust Tool for Deploying Large-Area Stretchable Sensor Networks from Microscale to Macroscale." Sensors 22, no. 13 (June 27, 2022): 4856. http://dx.doi.org/10.3390/s22134856.
Zhou, Junhao, Chao Sun, Kyongseok Jang, Shangyi Yang, and Youngok Kim. "Human Activity Recognition Based on Continuous-Wave Radar and Bidirectional Gate Recurrent Unit." Electronics 12, no. 19 (September 27, 2023): 4060. http://dx.doi.org/10.3390/electronics12194060.
Liu, Cheng, Yitao Zhuang, Amir Nasrollahi, Lingling Lu, Mohammad Faisal Haider, and Fu-Kuo Chang. "Static Tactile Sensing for a Robotic Electronic Skin via an Electromechanical Impedance-Based Approach." Sensors 20, no. 10 (May 16, 2020): 2830. http://dx.doi.org/10.3390/s20102830.
Botticini, Stefano, Elisabetta Comini, Salvatore Dello Iacono, Alessandra Flammini, Luigi Gaioni, Andrea Galliani, Luca Ghislotti, et al. "Index Air Quality Monitoring for Light and Active Mobility." Sensors 24, no. 10 (May 16, 2024): 3170. http://dx.doi.org/10.3390/s24103170.
Engouang, Tristan Daladier, Yun Liu, and Zhen Jiang Zhang. "Trusted Data Aggregation with Low Energy in Wireless Sensor Networks." Applied Mechanics and Materials 596 (July 2014): 519–27. http://dx.doi.org/10.4028/www.scientific.net/amm.596.519.
Dissertations / Theses on the topic "Smart embedded micro-Network":
Kam, Ollé Michel. "Prédiction pour la gestion intelligente territorialisée de la ressource renouvelable photovoltaïque & intégration par déploiement d’un réseau de capteurs IoT LoRaWAN." Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0197.
The implementation of decentralized electrical micro-grids base on renewable energies is a challenge for the power supplies of telecommunication infrastructures. These power sources supply from off-grid photovoltaic and micro-wind systems are more suitable for remote or isolated sites like telecom antennas considering the local installation feasibilities and renewable resource availabilities. However, the intermittence and the variability of renewable sources require to ensure the balance between the production and the consumption of energies. In addition, the system sizing requires a trade-off between size, investment cost, safety and reliability of the power supply due to the intermittency. This thesis aims to develop a model characterizing the global solar irradiation variability to predict PV productions from data recorded on sites and over a long period. We validated the calibration methods of the Weibull function allowing a reliable prediction of the global irradiation in a semi-continental climate (mainland French sites). More precisely, we experimentally determine the Weibull parameters for obtaining a reliable global irradiation forecast prediction by considering the sun incident radiation during time periods. This forecast allows to estimate the yearly energy generation and its prediction during the time evolution from a PV plant in considered sites. The originality of the proposed approach is to obtain reliable predictive yearly PV energy distributions which also can be used to generate synthetic data times series of the global irradiation. The proposed model is based a parametrized mathematical formula providing reliable prediction results and which can be integrated to a real-time data acquisition system. To validate the proposed approach for the prediction of the PV power source supplying of telecommunication infrastructures, we developed an IoT sensors network for real-time acquisition to instrument a telecom antenna allowing a wide area network coverage. We demonstrate that deployed networked IoT sensors based on LoRaWAN protocol on a traditional telecommunication tower operating under real conditions communicate reliably without affecting the tower’s functions while keeping the data quality of the sensors. The proposed LoRaWAN network is used for the data acquisition of the weather parameters performing the proposed forecast of the real-time PV production. The software implementation of the proposed prediction model interfaced to weather sensors allows a real-time and intelligent management of deployed renewable energy systems. Future work is also discussed to develop renewable energies on a wide territory with a semi-continental climate
Book chapters on the topic "Smart embedded micro-Network":
Nayak, Padmalaya. "Internet of Things Services, Applications, Issues, and Challenges." In The Internet of Things, 491–506. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1832-7.ch023.
Nayak, Padmalaya. "Internet of Things Services, Applications, Issues, and Challenges." In Advances in Wireless Technologies and Telecommunication, 353–68. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0486-3.ch014.
Yang, Xiaozhe, Huiting Lu, Junjie Mo, Guobiao Huang, and Yongzhu Long. "Application of Autonomous Driving Algorithm Based on HSV and Yolov5 in Micro Intelligent Vehicles." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde231361.
Conference papers on the topic "Smart embedded micro-Network":
Fetfatsidis, Konstantine A., Amanda Dropkin, Paul Dahlstrand, Christopher Hansen, Richard Poillucci, and Brad Olson. "Microvascular Composites for Thermal Management." In ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/smasis2014-7681.