Design of a tropical rain - Disaster alarm system: A new approach based on wireless sensor networks and acoustic rain rate measurements

Libatique, Nathaniel Joseph C.; Tangonan, Gregory L.; Gustilo, Reggie C.; Seah, Winston K.G.; Pineda, Cesar S.; Guico, Maria Leonora; Abrajano, Gemalyn; Ching, R.H.N.; Zamora, Jane Louie Fresco; Espinosa, Author-Javier; Valera, Alvin; Lamac, R; Dy, H; Pusta, J; Trono, Edgar Marko; Gimpaya, A; Luis, José; Gonzales, S J; Lotho, A T

doi:10.1109/imtc.2009.5168663

Cited by 20 publications

(10 citation statements)

References 5 publications

(4 reference statements)

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“…Experimental values, in general, have a large deviation from those given by the theoretical and empirical models. Few other works present the RSSI measurements for wi-fi links such as Libatique et al (2009) showed for a 3 dB signal attenuation at 5 GHz for a transmitter-receiver distance of 0.4 km and a 12 mmÁhr -1 rainfall intensity, which yields a specific signal attenuation of 7.5 dBÁkm -1 . Karagianni et alʼs (2016) measurements for moderate rainfall events around 12 mmÁhr -1 showed a power loss around 12 dBm at 2.4 GHz; supposing that a maximum path loss of 1.6 km was used, this yields specific path attenuation from 7.5 (for the case of maximum wi-fi distance) to 15 dBÁkm -1 .…”

Section: Measurements Near This Frequency Bandmentioning

confidence: 99%

“…Additionally, a measurement of rain attenuation for a link in the S-band was carried out. In a proposed disaster alarm system (Libatique et al, 2009), the 5 GHz link was deployed over 400 m and monitoring was performed during rainy and clear days. A nationwide experiment in the Philippines used a 5 GHz fixed wireless network as a rain alarm system for monitoring changes in the RSLs.…”

Section: Introductionmentioning

confidence: 99%

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A rain estimation model based on microwave signal attenuation measurements in the city of Ioannina, Greece

Christofilakis

Tatsis

Lolis

et al. 2020

Meteorological Applications

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Rain monitoring through signal attenuation has been a significant concern for the scientific community over the last decade. The lowest L‐, S‐ and C‐bands in the microwave spectrum are full of potential for environmental monitoring devices. It has not been extensively proven whether signal attenuation can be used for rain estimation throughout the microwave spectrum in the region of 1–6 GHz. The study derives a power‐law rain estimation model by validating the one year data for the amount of rain and signal attenuation at the lowest limit of the S‐band. This is achieved by a prototype accurate experimental set‐up in a laboratory environment at the campus of the University of Ioannina, northwest Greece. A comparison with global rain attenuation models as well as measurements near this frequency band are also presented and discussed.

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Section: Measurements Near This Frequency Bandmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A rain estimation model based on microwave signal attenuation measurements in the city of Ioannina, Greece

Christofilakis

Tatsis

Lolis

et al. 2020

Meteorological Applications

View full text Add to dashboard Cite

show abstract

“…The great improvement in the fields of computer technology helps improve research and innovations. These improvements are greatly influenced by advanced researches communications engineering [1], [2], bio-medical engineering [3]. [4], [5] and robotics engineering [6] , [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of MUSIC Algorithm for Microphone Array Using FPGA board

Teologo¹

2020

IJATCSE

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This study presents an implementation of the field programmable gate array (FPGA) and performance analysis of the multiple signal classification (MUSIC) algorithm for the direction-of-arrival (DOA) estimation of the different sound sources. DOA offers a variety of applications in the field of signal detection, communications, navigation and speech processing. MUSIC is one of the high-resolution DOA estimation techniques and the most promising technique for actual hardware implementation. A microphone array consisting of four equally-spaced microphones (sensors) is used as a basis for this study. As for wideband application, the number of sources should be less than the number of sensors thus a maximum of three sound sources are only considered and their locations are estimated. Four DOAs are used for single source, two sets of DOA for double-source and one set for triple source. Matlab simulations and test bench results are presented showing the effectiveness of the algorithm. All simulations and tests are done using five samples only because of the large logic utilization of the codes when comes to the FPGA implementation. This study utilizes an Altera Stratix II FPGA board for the realization of the MUSIC algorithm in hardware implementation and Verilog HDL serves as the programming language.

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“…Advancements in computer technology has played a very important role in simplifying systems analysis and design whether they are used in robotics, medical technology or pure communications systems design [1], [2] Throughout the years, convenience has been the aim of our country's technology. This is very evident and can be visibly seen in things like minimizing the usage of bigger components, transforming large machines into integrated circuits packed in smaller chips, and improving the speed of devices.…”

Section: Introductionmentioning

confidence: 99%

Filipino to Chinese Speech-to-speech Translator Using Neural Network with Database System

Bailon¹

2019

IJETER

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Technology nowadays becomes convenient because conveying information between computers and other electronic devices is done in a speech-to-speech environment through speech implementation. There are different technologies that can aid in speech implementation and one of which is the Neural Network System (NNS). A Neural Network System is composed of many simple processors combined together that recognizes pattern through series of trainings. The aim of the research is to produce computer software that uses an algorithm in order to translate Filipino speech into Chinese speech with the use of an artificial neural network aided by LabVIEW. The use of LabVIEW in implementing the whole speech-to-speech system organized the details through three stages: speechto-text stage, text-to-text stage, and text-to-speech stage. The results showed that increasing the number of training of words increases the success rate of the system in recognizing the words. Some words used are nearly similar in pronunciation with other word received lower success rates as compared to unique words. Training has a success rate of 93.4% while testing yielded 91.59 percent. Speech implementation was conducted successfully that applied speech recognition, speech synthesis, and database system. The results of the speech-to-speech translation of Neural Network System in LabVIEW presented herewith such that they can be used as an aid to improvement of speech implementation.

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Design of a tropical rain - Disaster alarm system: A new approach based on wireless sensor networks and acoustic rain rate measurements

Cited by 20 publications

References 5 publications

A rain estimation model based on microwave signal attenuation measurements in the city of Ioannina, Greece

A rain estimation model based on microwave signal attenuation measurements in the city of Ioannina, Greece

Performance Analysis of MUSIC Algorithm for Microphone Array Using FPGA board

Filipino to Chinese Speech-to-speech Translator Using Neural Network with Database System

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