Advances in Machine Learning and Signal Processing

Lecture Notes in Electrical Engineering Volume 387 Board of Series editors Leopoldo Angrisani, Napoli, Italy Marco Arteaga, Coyoacán, México Samarjit Chakraborty, München, Germany Jiming Chen, Hangzhou, P.R. China Tan Kay Chen, Singapore, Singapore Rüdiger Dillmann, Karlsruhe, Germany Haibin Duan, Beijing, China Gianluigi Ferrari, Parma, Italy Manuel Ferre, Madrid, Spain Sandra Hirche, München, Germany Faryar Jabbari, Irvine, USA Janusz Kacprzyk, Warsaw, Poland Alaa Khamis, New Cairo City, Egypt Torsten Kroeger, Stanford, USA Tan Cher Ming, Singapore, Singapore Wolfgang Minker, Ulm, Germany Pradeep Misra, Dayton, USA Sebastian Möller, Berlin, Germany Subhas Mukhopadyay, Palmerston, New Zealand Cun-Zheng Ning, Tempe, USA Toyoaki Nishida, Sakyo-ku, Japan Bijaya Ketan Panigrahi, New Delhi, India Federica Pascucci, Roma, Italy Tariq Samad, Minneapolis, USA Gan Woon Seng, Nanyang Avenue, Singapore Germano Veiga, Porto, Portugal Haitao Wu, Beijing, China Junjie James Zhang, Charlotte, USA About this Series “Lecture Notes in Electrical Engineering (LNEE)” is a book series which reports the latest research and developments in Electrical Engineering, namely: • Communication, Networks, and Information Theory • Computer Engineering • Signal, Image, Speech and Information Processing • Circuits and Systems • Bioengineering LNEE publishes authored monographs and contributed volumes which present cutting edge research information as well as new perspectives on classical fields, while maintaining Springer’s high standards of academic excellence. Also considered for publication are lecture materials, proceedings, and other related materials of exceptionally high quality and interest. The subject matter should be original and timely, reporting the latest research and developments in all areas of electrical engineering. The audience for the books in LNEE consists of advanced level students, researchers, and industry professionals working at the forefront of their fields. Much like Springer’s other Lecture Notes series, LNEE will be distributed through Springer’s print and electronic publishing channels. More information about this series at http://www.springer.com/series/7818 Ping Jack Soh Wai Lok Woo • Hamzah Asyrani Sulaiman Mohd Azlishah Othman Mohd Shakir Saat • Editors Advances in Machine Learning and Signal Processing Proceedings of MALSIP 2015 123 Editors Ping Jack Soh Mohd Azlishah Othman Universiti Teknikal Malaysia Melaka Universiti Teknikal Malaysia Melaka Durian Tunggal, Melaka Durian Tunggal, Melaka Malaysia Malaysia Wai Lok Woo Mohd Shakir Saat Newcastle University Universiti Teknikal Malaysia Melaka Singapore Durian Tunggal, Melaka Singapore Malaysia Hamzah Asyrani Sulaiman Universiti Teknikal Malaysia Melaka Durian Tunggal, Melaka Malaysia ISSN 1876-1100 ISSN 1876-1119 (electronic) Lecture Notes in Electrical Engineering ISBN 978-3-319-32212-4 ISBN 978-3-319-32213-1 (eBook) DOI 10.1007/978-3-319-32213-1 Library of Congress Control Number: 2016939910 © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by SpringerNature The registered company is Springer International Publishing AG Switzerland Preface The 2015 International Conference on Machine Learning and Signal Processing (MALSIP) was organized by the Malaysia Technical Scientist Association (MALTESAS) together with Newcastle University (Singapore campus). For this first installment, it was held in the historical city of Melaka, Malaysia, from June 12 to June 14, 2015. The conference chiefly focused on advances in and innovative technologies related to machine learning, signal processing, and their applications. The event, which drew participants from around the globe, was intended to bring together researchers and scientists working on signal processing and machine learning topics, offering them a forum to discuss recent advances in their research areas, exchange ideas, and lay the groundwork for future collaborations. Of the 95 manuscripts received, only 27 were ultimately accepted for publication in these conference proceedings. The organizers of MALSIP 2015 were also delighted to have Professor Dr. M. Iqbal Saripan from Universiti Putra Malaysia (UPM) as a keynote speaker. He presented his work on “Digital Image Processing Applications in Nuclear Medical Imaging Systems,” discussing both single modality and hybrid modality approaches in nuclear medical imaging (NMI), as well as the implementation of digital image processing to enable the use of NMI in medical diagnostics. In total, 357 experts in signal processing and machine learning from various countries across the globe were selected to act as reviewers of manuscripts for MALSIP 2015, covering a wide range of topics relating to signal processing techniques and their applications. This book highlights the latest technologies and trends in machine learning and signal processing techniques, offering a valuable resource for researchers and practitioners alike. v vi Preface The editors wish to express their gratitude to the Malaysia Technical Scientist Association (MALTESAS) and Newcastle University (Singapore campus), as well as Event Management, Skaievent Technovation and Narujaya Consultant Enterprise, for organizing and supporting this very successful conference. Ping Jack Soh Wai Lok Woo Hamzah Asyrani Sulaiman Mohd Azlishah Othman Mohd Shakir Saat Contents User Identification of Keystroke Biometric Patterns with the Cognitive RAM Weightless Neural Net . . . . . . . . . . . . . . . . . . 1 Weng Kin Lai, Beng Ghee Tan, Ming Siong Soo and Imran Khan Topology-Aware Mechanism to Improve Routing in Mobile Ad Hoc Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Baidaa Hamza Khudayer, Mohammad M. Kadhum and Tat-Chee Wan An Adaptive Learning Radial Basis Function Neural Network for Online Time Series Forecasting . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 Mazlina Mamat, Rosalyn R. Porle, Norfarariyanti Parimon and Md. Nazrul Islam Incremental-Eclat Model: An Implementation via Benchmark Case Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 Wan Aezwani Bt Wan Abu Bakar, Zailani B. Abdullah, Md. Yazid B. Md Saman, Masita@Masila Bt Abd Jalil, Mustafa B. Man, Tutut Herawan and Abdul Razak Hamdan Fall Detection Using Visual Cortex Bio-inspired Model for Home-Based Physiotherapy System . . . . . . . . . . . . . . . . . . . . . . . . 47 Nor Surayahani Suriani Online Clustering of Narrowband Position Estimates with Application to Multi-speaker Detection and Tracking . . . . . . . . . . 59 Maja Taseska, Gleni Lamani and Emanuël A.P. Habets Taguchi-based Parameter Setting of Cuckoo Search Algorithm for Capacitated Vehicle Routing Problem . . . . . . . . . . . . . . . . . . . . . . 71 Mansour Alssager and Zulaiha Ali Othman vii viii Contents IncSPADE: An Incremental Sequential Pattern Mining Algorithm Based on SPADE Property . . . . . . . . . . . . . . . . . . . . . . . . . 81 Omer Adam, Zailani Abdullah, Amir Ngah, Kasypi Mokhtar, Wan Muhamad Amir Wan Ahmad, Tutut Herawan, Noraziah Ahmad, Mustafa Mat Deris, Abdul Razak Hamdan and Jemal H. Abawajy Choosing Geometric Dissimilarity Measure for Content Based Coral Reefs Image Retrieval . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 Wan Nural Jawahir Hj Wan Yussof, Muhammad Suzuri Hitam, Ezmahamrul Afreen Awalludin and Zainudin Bachok Block Compressive Sensing (BCS) Based Multi-phase Reconstruction (MPR) Framework for Video . . . . . . . . . . . . . . . . . . . . 105 Mansoor Ebrahim and Wai Chong Chia PAT and Px Code Sidelobe Reduction Using Wavelet Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117 Fayad Mohammed Ghawbar, Mustafa Sami, Nor Shahida Mohd Shah and Yasin Yousif Detecting Neighbor Discovery Protocol-Based Flooding Attack Using Machine Learning Techniques . . . . . . . . . . . . . . . . . . . . 129 Firas Najjar, Mohammad M. Kadhum and Homam El-Taj MFCC Global Features Selection in Improving Speech Emotion Recognition Rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141 Noor Aina Zaidan and Md Sah Salam A Parametric Study of Compact UWB Antenna with Multiple Notched-Band Functions . . . . . . . . . . . . . . . . . . . . . . . . 155 Md. Moinul Islam, Mohammad Tariqul Islam and Mohammad Rashed Iqbal Faruque Parallel Implementation of Morphological Operations on Binary Images Using CUDA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163 Jun Ming Koay, Yoong Choon Chang, Shahirina Mohd Tahir and Sankaraiah Sreeramula Non Negative Matrix Factorization for Music Emotion Classification. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175 Nurlaila Rosli, Nordiana Rajaee and David Bong Speech Enhancement Based on Noise Type and Wavelet Thresholding the Multitaper Spectrum . . . . . . . . . . . . . . . . . . . . . . . . 187 E.P. Jayakumar and P.S. Sathidevi Contents ix Balinese Character Recognition Using Bidirectional LSTM Classifier . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201 Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof and Thomas M. Breuel An Automated Multiple Choice Grader for Paper-Based Exams . . . . . . 213 Abrar H. Abdul Nabi and Inad A. Aljarrah Nonlinear System Modelling Utilizing Second Order Augmented Statistics Complex Value Algorithm. . . . . . . . . . . . . . . . . . . . . . . . . . . 223 Chukwuemena Cyprian Amadi, Bukhari Che Ujang and Fazirulhisyam Bin Hashim Perceived Stress Scale and Brainwave Characteristic of Breastfeeding Women . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237 Najidah Hambali, Noor Izzati Abd Halin, Zunairah Haji Murat and Nur Idora Abdul Razak Improved Speech Emotion Classification from Spectral Coefficient Optimization. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247 Inshirah Idris and Md Sah Salam Classification of EEG Signals Using Single Channel Independent Component Analysis, Power Spectrum, and Linear Discriminant Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259 Handayani Tjandrasa and Supeno Djanali Comparison of Text Forum Summarization Depending on Query Type for Text Forums . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269 Vladislav Grozin, Kseniya Buraya and Natalia Gusarova Vibro-Acoustic Fault Analysis of Bearing Using FFT, EMD, EEMD and CEEMDAN and Their Implications . . . . . . . . . . . . . 281 Satish Mohanty, Karunesh Kumar Gupta and Kota Solomon Raju An Evaluation of Convolutional Neural Nets for Medical Image Anatomy Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293 Sameer Ahmad Khan and Suet-Peng Yong Ant Colony Optimization and Feature Selection for Intrusion Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305 Tahir Mehmod and Helmi B. Md Rais