An audio character recognition system for environmental monitoring message transmission over narrow band cellular network

Tsai, Wen–Chung; Shih, You-Jyun; Tsai, Ting-Ming; Liaw, Jiun‐Jian

doi:10.1109/icmlc.2017.8108963

Cited by 1 publication

(1 citation statement)

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“…Kalhara et al conducted a similar study but enhanced the system using the Application Program Interface (API) and the Internet of Thing (IoT). The noise decrease used fast Fourier transform [9], [10]. Designing WSN to detecting chainsaw also conducted by Kocharoen et al, he used a Bandpass filter to decreased the noise of the chainsaw [11].…”

Section: Introductionmentioning

confidence: 99%

Multiple Sensor on Clustering Wireless Sensor Network to Tackle Illegal Cutting

Mutiara¹,

Suryana²,

Othman³

2020

Int. J. Adv. Sci. Eng. Inf. Technol.

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This paper is intended to purpose a designed system using Wireless Sensor Network application. It is multiple sensors to tackle illegal cutting in the stage of a timber harvesting. This paper also discusses network performance and the costs of the purposed system. In every node in the networks, the system was built using a combined sound sensor and vibration sensor in which incorporated using Xbee Pro S2C. It is considered as a communication module at each sensor node and Arduino Nano to process the data. The Wireless Sensor Network has been designed in three networks with the configuration of master and slave nodes in each network. This system was testing using several scenarios to have the data performance of the networks and the performance of the proposed system in the small forest and the opened area. The costs of the purposed system also compared related to the previous system. The result showed the optimum distance that can be applied in the WSN network as a real-time application using Xbee Pro S2C is less than 30 meters; meanwhile the time consumed to communicate between nodes is below 5 s. Therefore, the more slaves in the subnetwork will affect the performance of the system. The proposed system runs smoothly as predicted in the purposed system. All the testing is 100% completed and can be handled by the proposed system.

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Section: Introductionmentioning

confidence: 99%