V2Hz: Music composition from wind turbine energy using a finite-state machine

Mark O'Sullivan; Bruno Srbinovski; Andriy Temko; Emanuel Popovici; Hugh McCarthy

doi:10.1109/ISSC.2017.7983637

V2Hz: Music composition from wind turbine energy using a finite-state machine

Mark O'Sullivan
, Bruno Srbinovski
, Andriy Temko
, Emanuel Popovici
, Hugh McCarthy

Munster Technological University

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Abstract

The study presents a multi-disciplinary application of the Internet of Things (IoT) benefiting both the engineering and music community. A music composition algorithm based on a finite-state machine was designed to receive and manipulate wind turbine voltage output data into a musically aesthetic composition. The algorithm adapts common western music theory and imposes these limitations on the wind turbine output voltage stream. The front-end of the system employs various transmission protocols. The data is streamed to a server on-site at the wind farm using transmission control protocol, and then received offsite via TCP/IP. The back-end of the system processes the digital signals, and finally constructs Musical Instrument Digital Interface messages, which can be routed to a host of various music synthesis software programs. The voltage output values of each wind turbine are directly represented in both the amplitude and frequency characteristics of the audio. Thus, the audio serves as an accurate real-time monitoring and maintenance tool for the wind farm data from an offsite location.

Original language	English
Title of host publication	2017 28th Irish Signals and Systems Conference, ISSC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538610466
DOIs	https://doi.org/10.1109/ISSC.2017.7983637
Publication status	Published - 18 Jul 2017
Event	28th Irish Signals and Systems Conference, ISSC 2017 - Killarney, Ireland Duration: 20 Jun 2017 → 21 Jun 2017

Publication series

Name	2017 28th Irish Signals and Systems Conference, ISSC 2017

Conference

Conference	28th Irish Signals and Systems Conference, ISSC 2017
Country/Territory	Ireland
City	Killarney
Period	20/06/17 → 21/06/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

automated music synthesis
composition
energy control and optimisation
energy sonification
Internet of Things
maintenance and test
music
wind farm

Access to Document

10.1109/ISSC.2017.7983637

Cite this

O'Sullivan, M., Srbinovski, B., Temko, A., Popovici, E., & McCarthy, H. (2017). V2Hz: Music composition from wind turbine energy using a finite-state machine. In 2017 28th Irish Signals and Systems Conference, ISSC 2017 Article 7983637 (2017 28th Irish Signals and Systems Conference, ISSC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSC.2017.7983637

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title = "V2Hz: Music composition from wind turbine energy using a finite-state machine",

abstract = "The study presents a multi-disciplinary application of the Internet of Things (IoT) benefiting both the engineering and music community. A music composition algorithm based on a finite-state machine was designed to receive and manipulate wind turbine voltage output data into a musically aesthetic composition. The algorithm adapts common western music theory and imposes these limitations on the wind turbine output voltage stream. The front-end of the system employs various transmission protocols. The data is streamed to a server on-site at the wind farm using transmission control protocol, and then received offsite via TCP/IP. The back-end of the system processes the digital signals, and finally constructs Musical Instrument Digital Interface messages, which can be routed to a host of various music synthesis software programs. The voltage output values of each wind turbine are directly represented in both the amplitude and frequency characteristics of the audio. Thus, the audio serves as an accurate real-time monitoring and maintenance tool for the wind farm data from an offsite location.",

keywords = "automated music synthesis, composition, energy control and optimisation, energy sonification, Internet of Things, maintenance and test, music, wind farm",

author = "Mark O'Sullivan and Bruno Srbinovski and Andriy Temko and Emanuel Popovici and Hugh McCarthy",

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O'Sullivan, M, Srbinovski, B, Temko, A, Popovici, E & McCarthy, H 2017, V2Hz: Music composition from wind turbine energy using a finite-state machine. in 2017 28th Irish Signals and Systems Conference, ISSC 2017., 7983637, 2017 28th Irish Signals and Systems Conference, ISSC 2017, Institute of Electrical and Electronics Engineers Inc., 28th Irish Signals and Systems Conference, ISSC 2017, Killarney, Ireland, 20/06/17. https://doi.org/10.1109/ISSC.2017.7983637

V2Hz: Music composition from wind turbine energy using a finite-state machine. / O'Sullivan, Mark; Srbinovski, Bruno; Temko, Andriy et al.
2017 28th Irish Signals and Systems Conference, ISSC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7983637 (2017 28th Irish Signals and Systems Conference, ISSC 2017).

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

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AU - Srbinovski, Bruno

AU - Temko, Andriy

AU - Popovici, Emanuel

AU - McCarthy, Hugh

PY - 2017/7/18

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N2 - The study presents a multi-disciplinary application of the Internet of Things (IoT) benefiting both the engineering and music community. A music composition algorithm based on a finite-state machine was designed to receive and manipulate wind turbine voltage output data into a musically aesthetic composition. The algorithm adapts common western music theory and imposes these limitations on the wind turbine output voltage stream. The front-end of the system employs various transmission protocols. The data is streamed to a server on-site at the wind farm using transmission control protocol, and then received offsite via TCP/IP. The back-end of the system processes the digital signals, and finally constructs Musical Instrument Digital Interface messages, which can be routed to a host of various music synthesis software programs. The voltage output values of each wind turbine are directly represented in both the amplitude and frequency characteristics of the audio. Thus, the audio serves as an accurate real-time monitoring and maintenance tool for the wind farm data from an offsite location.

AB - The study presents a multi-disciplinary application of the Internet of Things (IoT) benefiting both the engineering and music community. A music composition algorithm based on a finite-state machine was designed to receive and manipulate wind turbine voltage output data into a musically aesthetic composition. The algorithm adapts common western music theory and imposes these limitations on the wind turbine output voltage stream. The front-end of the system employs various transmission protocols. The data is streamed to a server on-site at the wind farm using transmission control protocol, and then received offsite via TCP/IP. The back-end of the system processes the digital signals, and finally constructs Musical Instrument Digital Interface messages, which can be routed to a host of various music synthesis software programs. The voltage output values of each wind turbine are directly represented in both the amplitude and frequency characteristics of the audio. Thus, the audio serves as an accurate real-time monitoring and maintenance tool for the wind farm data from an offsite location.

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KW - composition

KW - energy control and optimisation

KW - energy sonification

KW - Internet of Things

KW - maintenance and test

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KW - wind farm

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ER -

V2Hz: Music composition from wind turbine energy using a finite-state machine

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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