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Relevant bibliographies by topics / Sensor Designing

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Journal articles

Academic literature on the topic 'Sensor Designing'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "Sensor Designing"

1

Kulkarni, Amol, Janis Terpenny, and Vittaldas Prabhu. "Sensor Selection Framework for Designing Fault Diagnostics System." Sensors 21, no. 19 (2021): 6470. http://dx.doi.org/10.3390/s21196470.

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In a world of rapidly changing technologies, reliance on complex engineered systems has become substantial. Interactions associated with such systems as well as associated manufacturing processes also continue to evolve and grow in complexity. Consider how the complexity of manufacturing processes makes engineered systems vulnerable to cascading and escalating failures; truly a highly complex and evolving system of systems. Maintaining quality and reliability requires considerations during product development, manufacturing processes, and more. Monitoring the health of the complex system while

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2

Elaine Shi and A. Perrig. "Designing Secure Sensor Networks." IEEE Wireless Communications 11, no. 6 (2004): 38–43. http://dx.doi.org/10.1109/mwc.2004.1368895.

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Kwon, Oh-Heum, and Ha-Joo Song. "Sensor Deployment Simulator for Designing Sensor Fields." Journal of Korea Multimedia Society 16, no. 3 (2013): 354–65. http://dx.doi.org/10.9717/kmms.2013.16.3.354.

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4

Zakri, Azriyenni Azhari, Arfianti Arfianti, Amir Hamzah, M. Iqbal, Hamdy Madjid, and Naufal Fikri Aulia. "Designing Flex Sensor Gloves with Temperature Sensor & Pulse Sensor to Help Stroke Patients." International Journal of Emerging Technology and Advanced Engineering 12, no. 12 (2022): 23–31. http://dx.doi.org/10.46338/ijetae1222_03.

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Stroke patients often have trouble in daily interactions, when the patient communicated with people who are guarding them. If the distance between the patient and their guard is far, this will make it difficult for the stroke patient to communicate. Therefore, this research designed a prototype glove with a flex sensor installed as a communication tool to aid stroke patients. The designed glove is paired with five flexible sensors to enable nurses easily to read the five-finger movement signals. This tool is also equipped with DS18B20 temperature and pulse sensors capable of monitoring the phy

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5

Yafis, Balqis, and Rahmat ;. "Designing Arduino-Based Sluice Control System With Self-Check Sensor Feature." JURNAL TIKA 6, no. 03 (2021): 205–12. http://dx.doi.org/10.51179/tika.v6i03.661.

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The use of Arduino-Based floodgates aims to address the issue of flooding. The goal of this research was to create a system that could monitor water levels and control floodgatesUltrasonic sensor was used to measure water level, as the water level becomes the indicator to open and close the floodgates. The ultrasonic sensor is mounted on the dam and measures the distance between the water’s surface and the sensor transmitter. The results of the measurement of the water level are used to control the floodgates. Sensor measurement results are not always valid, given the age of the sensor and the

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6

Sun, Yan, and Ming Ma. "Designing a Soft Sensor with the Weighted Fuzzy Neural Network." Applied Mechanics and Materials 263-266 (December 2012): 472–75. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.472.

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Soft sensors are algorithms capable of estimate the process output that can not be measured directly in real time. A data-driven soft sensor is an inferential model developed from process observations. In this paper, the soft sensor modeling process based on the weighted fuzzy neural network was discussed. The proposed algorithm based on genetic algorithm and particle swarm optimization could obtain a near-optimal structure of fuzzy neural network, and the numerical experiments show that the soft sensor model has good performance.

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7

Zhao, Y. P., S. H. Li, S. B. Chaney, et al. "Designing nanostructures for sensor applications." Journal of Electronic Materials 35, no. 5 (2006): 846–51. http://dx.doi.org/10.1007/bf02692538.

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8

Patra, Chiranjib, Anjan Guha Roy, Samiran Chattopadhyay, and Parama Bhaumik. "Designing Energy-Efficient Topologies for Wireless Sensor Network: Neural Approach." International Journal of Distributed Sensor Networks 6, no. 1 (2010): 216716. http://dx.doi.org/10.1155/2010/216716.

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Preserving energy or battery power of wireless sensor network is of major concern. As such type of network, the sensors are deployed in an ad hoc manner, without any deterministic way. This paper is concerned with applying standard routing protocols into wireless sensor network by using topology modified by neural network which proves to be energy efficient as compared with unmodified topology. Neural network has been proved to be a powerful tool in the distributed environment. Here, to capture the true distributed nature of the Wireless Sensor Network (WSN), neural network's Self-Organizing F

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9

Braunfelds, Janis, Elvis Haritonovs, Ugis Senkans, et al. "Designing of Fiber Bragg Gratings for Long-Distance Optical Fiber Sensing Networks." Modelling and Simulation in Engineering 2022 (October 5, 2022): 1–14. http://dx.doi.org/10.1155/2022/8331485.

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Most optical sensors on the market are optical fiber Bragg grating (FBG) sensors with low reflectivity (typically 7-40%) and low side-lobe suppression (SLS) ratio (typically SLS <15 dB), which prevents these sensors from being effectively used for long-distance remote monitoring and sensor network solutions. This research is based on designing the optimal grating structure of FBG sensors and estimating their optimal apodization parameters necessary for sensor networks and long-distance monitoring solutions. Gaussian, sine, and raised sine apodizations are studied to achieve the main require

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Bima, Al, Sirojul Hadi, M. Najmul Fadli, Nurul Hidayah, and Lalu Danu Prima Arzani. "Designing a Honey Quality Tool Based on Gas Sensor and Color Sensor." International Journal of Engineering and Computer Science Applications (IJECSA) 1, no. 2 (2022): 94–102. http://dx.doi.org/10.30812/ijecsa.v1i2.2407.

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Honey has many benefits. Thus, honey counterfeiting often occurs with the ever-increasing demand. However, many do not know how to distinguish between real and fake honey, even honey breeders and hunters find it difficult to tell the difference. The honey used to test the quality of honey is honey produced by Apis dorsata bees or wild bees, the nectar consumed by these bees is the kesambi tree, the kesambi tree that grows a lot on the slopes of Mount Tambora, Bima district. Honey contains a lot of antioxidants such as vitamin C, pinocembrin, chrysin, pinobaksin, catalase, and many other ingred

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