scholarly journals Brain Musics: History, Precedents, and Commentary on Whalley, Mavros and Furniss

2015 ◽  
Vol 9 (3-4) ◽  
pp. 277 ◽  
Author(s):  
Miguel Ortiz ◽  
Mick Grierson ◽  
Atau Tanaka
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Musical Performance ◽  
Eeg Signals ◽  
Live Electronics ◽  
Broad Area ◽  
Direct Mapping ◽  
Challenges And Opportunities ◽  
History Of ◽  
Small Ensemble

<p>Whalley, Mavros and Furniss (this issue) explore questions of agency, control and interaction, as well as the embodied nature of musical performance in relation to the use of human-computer interaction through the work <em>Clasp Together (beta) </em>for small ensemble and live electronics. The underlying concept of the piece focuses on direct mapping of a human neural network (embodied by a performer within the ensemble) to an artificial neural network running on a computer. With our commentary, we contextualize the work by offering a brief history of music that uses brainwaves. We review the use of EEG signals for musical performance and point at precedents in EEG-based musical practice. We hope to more clearly situate <em>Clasp Together (beta)</em> in the broad area of Brain Computer Musical Interfaces and discuss the challenges and opportunities that these technologies offer for composers.</p>

scholarly journals A Study on Correlation of Subjects on Electrical Engineering Course Using Artificial Neural Network (ANN)

2021 ◽  
Vol 17 (2) ◽  
pp. 144
Author(s):  
Fathiah Zakaria ◽  
Siti Aishah Che Kar ◽  
Rina Abdullah ◽  
Syila Izawana Ismail ◽  
Nur Idawati Md Enzai
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Electrical Engineering ◽  
Electric Circuit ◽  
Time Correlation ◽  
Ann Model ◽  
Core Subject ◽  
History Of ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Abstract: This paper presents a study of correlation between subjects of Diploma in Electrical Engineering (Electronics/Power) at Universiti Teknologi MARA(UiTM) Cawangan Terengganu using Artificial Neural Network (ANN). The analysis was done to see the effect of mathematical subjects (Pre-calculus and Calculus 1) and core subject (Electric Circuit 1) on Electronics 1. Electronics 1 is found to be a core subject with the history of high failure rate percentage (more than 25%) in previous semesters. This research has been conducted on current final semester students (Semester 5). Seven (7) models of ANN are developed to observe the correlation between the subjects. In order to develop an ANN model, ANN design and parameters need to be chosen to find the best model. In this study, historical data from students’ database were used for training and testing purpose. Total number of datasets used are 58 sets. 70% of the datasets are used for training process and 30% of the datasets are used for testing process. The Regression Coefficient, (R) values from the developed models was observed and analyzed to see the effect of the subject on the performance of students. It can be proven that Electric Circuit 1 has significant correlation with the Electronics 1 subject respected to the highest R value obtained (0.8100). The result obtained proves that student’s understanding on Electric Circuit 1 subject (taken during semester 2) has direct impact on the performance of students on Electronics 1 subject (taken during semester 3). Hence, early preventive measures could be taken by the respective parties.    Keywords: Artificial neural network, Diploma in Electrical Engineering, Graduate on time, Correlation.

scholarly journals Clasp Together: Composing for Mind and Machine

2015 ◽  
Vol 9 (3-4) ◽  
pp. 263 ◽  
Author(s):  
J. Harry Whalley ◽  
Panagiotis Mavros ◽  
Peter Furniss
Keyword(s):  
Human Computer Interaction ◽  
Experimental Work ◽  
Sound Synthesis ◽  
Musical Performance ◽  
Brain Computer Interfaces ◽  
Live Electronics ◽  
Control Instrument ◽  
Computer Interfaces ◽  
Small Ensemble ◽  
Physical Gestures

This paper will explore questions of agency, control and interaction and the embodied nature of musical performance in relation to the use of human-computer interaction (HCI), through the experimental work <em>Clasp Together (beta)</em> [1] for small ensemble and live electronics by J. Harry Whalley. This practice-led research is situated at the intersection of music neurotechnology for sound synthesis and brain-computer interfaces (BCI, a subdomain of HCI), and explores the use of neural patterns from Electroencephalography (EEG) as a control instrument. The composition departed from the traditional composer/performer paradigm by using both non-instrumental physical gestures and cognitive or emotive instructions integrated into the score.

Simulation study on artifact elimination in EEG signals by artificial neural network

2007 ◽  
pp. 1164-1166
Author(s):  
Shingo Yoko ◽  
Masatake Akutagawa ◽  
Yoshio Kaji ◽  
Fumio Shichijo ◽  
Hirofumi Nagashino ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Simulation Study ◽  
Eeg Signals ◽  
Artificial Neural

Optimizing Mining Association Rules of Japanese Literary Characteristics Based on Artificial Neural Network

2013 ◽  
Vol 321-324 ◽  
pp. 2097-2100
Author(s):  
Chen Guang Tie
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Association Rules ◽  
World Literature ◽  
Japanese Literature ◽  
Colleges And Universities ◽  
Status Quo ◽  
Literary Genre ◽  
Stage Of Development ◽  
History Of

<p>Literatureis a kind of cultural historical stage of development to the most full ofvitality shone forth a glorious reflection of the cultural and social Hainan period as the heyday of Dynasty Women Current Literature.The prosperity of the Japanese literature of the Hainanperiod women to create the miracle of the history of Japanese literature, andeven the history of world literature. Learn from foreign cultures at the sametime, the Japanese created their own unique literary genre, such as Storyliterature. From domestic colleges and universities of the Japanese literatureclass status quo, analyzes the problems in the teaching of Japanese literaturefrom four aspects of teaching students of teachers and teaching and thesurrounding environment, to discuss current problems in the Japanese literatureclass.</p>

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