Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


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Editorial Advisory Board's Chair
William Lesso

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

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Effect of Flow on Cultured Cell at Micro-Pattern of Ridge Lines
Haruka Hino, Shigehiro Hashimoto, Yusuke Shinozaki, Hiromi Sugimoto, Yusuke Takahashi
(pages: 1-7)

Bridging the Semantic and Lexical Webs: Concept-Validating and Hypothesis-Exploring Ontologies for the Nexus-PORTAL-DOORS System
Adam Craig, Seung-Ho Bae, Carl Taswell
(pages: 8-13)

The Learning Science through Theatre Initiative in the Context of Responsible Research and Innovation
Zacharoula Smyrnaiou, Elena Georgakopoulou, Menelaos Sotiriou, Sofoklis Sotiriou
(pages: 14-22)

Perceptions and Preferences of High School Students in STEM: A Case Study in Connecticut and Mississippi
Bin (Brenda) Zhou, Clifford Anderson, Feng Wang, Lin Li
(pages: 23-26)

A Study on the Meaning of the ‘Lifelong Learning to Be’ Implicated in the Philosophy of Nietzsche
Kwanchun Lee, Soo Yeon Choi, Un Shil Choi
(pages: 27-32)

Barriers to Social Innovation and Ways of Overcoming them in Latvia
Karine Oganisjana, Yuliya Eremina, Salome Gvatua, Benjamin Ngongo Kabwende, Ozoemena Joseph Chukwu
(pages: 33-38)

Unmanned Aerial Vehicle-Based Automobile License Plate Recognition System for Institutional Parking Lots
Julian Dasilva, Ricardo Jiménez, Roland Schiller, Sanja Zivanovic González
(pages: 39-43)

Dialectal Atlas of the Arab World - between Intention and Reality
Oleg Redkin, Olga Bernikova
(pages: 44-47)

IT Risk and Chaos Theory: Effect on the Performance of South African SMEs
Anass Bayaga, Stephen Flowerday, Liezel Cilliers
(pages: 48-53)

How to Apply the User Profile Usability Technique in the User Modelling Activity for an Adaptive Food Recommendation System for People on Special Diets
Lucrecia Llerena, Nancy Rodríguez, Pablo Gómez-Abajo, John W. Castro
(pages: 54-63)

Policies, Legislation and Regulatory Compliance Governance Impact on Strategic Management of Higher Education and Research Institutions in Latvia
Anita Straujuma, Inga Lapina, Elina Gaile-Sarkane, Modris Ozolins
(pages: 64-69)

Parallel Prediction of Stock Volatility
Priscilla Jenq, John Jenq
(pages: 70-73)

Hacking a Bridge: An Exploratory Study of Compliance-Based Information Security Management in Banking Organization
Tesleem Fagade, Theo Tryfonas
(pages: 74-80)

Improvement in the Physical and Psychological Well-Being of Persons with Spinal Cord Injuries by Means of Powered Wheelchairs Driven by Dual Power Wheels and Mobile Technologies
Yee-Pien Yang, Li-Jen Weng, Ye-Yu Yeh, Hui-Fen Mao, Ray-I. Chang
(pages: 81-87)

Data Mediation with Enterprise Level Security
Kevin E. Foltz, William R. Simpson
(pages: 88-93)


 

Abstracts

 


ABSTRACT


Automatic Evaluation System of English Prosody Based on Word Importance Factor

Motoyuki Suzuki, Tatsuki Konno, Akinori Ito, Shozo Makino


Prosody plays an important role in speech communication between humans. Although several computer-assisted language learning (CALL) systems with utterance evaluation function have been developed, the accuracy of their prosody evaluation is still poor. In the present paper, we develop new methods by which to evaluate the rhythm and intonation of English sentences uttered by Japanese learners. The novel features of our study are as follows: (1) new prosodic features are added to traditional features, and (2) word importance factors are introduced in the calculation of intonation score. The word importance factor is automatically estimated using the ordinary least squares method and is optimized based on word clusters generated by a decision tree. Experiments conducted herein reveal the correlation coefficient (±1.0 denotes the best correlation) between the rhythm score given by native speakers and the system was -0.55. In contrast, a conventional feature (pause insertion error rate) gave a correlation coefficient of only -0.11. The correlation coefficient between the intonation scores given by native speakers and the system was only -0.29. However, the word importance factor with decision tree clustering improved the correlation coefficient to 0.45. In addition, we propose a method of integrating the rhythm score with the intonation score, which improved the correlation coefficient from 0.45 to 0.48 for evaluating intonation.

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