Textbook Cognitive Computing and Information Processing T N Nagabhushan Ebook All Chapter PDF
Textbook Cognitive Computing and Information Processing T N Nagabhushan Ebook All Chapter PDF
Textbook Cognitive Computing and Information Processing T N Nagabhushan Ebook All Chapter PDF
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T. N. Nagabhushan
V. N. Manjunath Aradhya
Prabhudev Jagadeesh
Seema Shukla
Chayadevi M. L. (Eds.)
Cognitive Computing
and Information Processing
Third International Conference, CCIP 2017
Bengaluru, India, December 15–16, 2017
Revised Selected Papers
123
Communications
in Computer and Information Science 801
Commenced Publication in 2007
Founding and Former Series Editors:
Alfredo Cuzzocrea, Xiaoyong Du, Orhun Kara, Ting Liu, Dominik Ślęzak,
and Xiaokang Yang
Editorial Board
Simone Diniz Junqueira Barbosa
Pontifical Catholic University of Rio de Janeiro (PUC-Rio),
Rio de Janeiro, Brazil
Phoebe Chen
La Trobe University, Melbourne, Australia
Joaquim Filipe
Polytechnic Institute of Setúbal, Setúbal, Portugal
Igor Kotenko
St. Petersburg Institute for Informatics and Automation of the Russian
Academy of Sciences, St. Petersburg, Russia
Krishna M. Sivalingam
Indian Institute of Technology Madras, Chennai, India
Takashi Washio
Osaka University, Osaka, Japan
Junsong Yuan
Nanyang Technological University, Singapore, Singapore
Lizhu Zhou
Tsinghua University, Beijing, China
More information about this series at http://www.springer.com/series/7899
T. N. Nagabhushan V. N. Manjunath Aradhya
•
Chayadevi M. L. (Eds.)
Cognitive Computing
and Information Processing
Third International Conference, CCIP 2017
Bengaluru, India, December 15–16, 2017
Revised Selected Papers
123
Editors
T. N. Nagabhushan Seema Shukla
Sri Jayachamarajendra College JSS Academy of Technical Education
of Engineering Noida, Uttar Pradesh
Mysuru, Karnataka India
India
Chayadevi M. L.
V. N. Manjunath Aradhya JSS Academy of Technical Education
Sri Jayachamarajendra College Bengaluru, Karnataka
of Engineering India
Mysuru, Karnataka
India
Prabhudev Jagadeesh
JSS Academy of Technical Education
Bengaluru, Karnataka
India
This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd.
part of Springer Nature
The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721,
Singapore
Preface
The editorial team is honored to announce the publication of the conference pro-
ceedings of the Third International Conference on Cognitive Computing and Infor-
mation Processing (CCIP 2017). The conference, which was jointly organized by the
Departments of Computer Science and Information Science and Engineering of JSS
Academy of Technical Education, Bengaluru, was the third in the series.
The focus of the conference was to understand the recent advancements in the
cognitive era of computing systems that emulate the capability of human mind. The
conference provided a forum for researchers and practitioners to present and discuss
new research results, practical applications, and also promote collaborative research
activities in cognitive computing and information processing and related field.
There were 130 papers submitted to CCIP-2017 (General track and four special
sessions, namely, Cognitive Computing in Video Analytics, Cognitive Computing for
Applications on Smart City, Cognitive Computing in Medical Information Processing,
and Women in Information Processing) and they all underwent a rigorous review
process. Upholding the quality requirements, around 33% of the papers received were
selected for presentation.
The conference also comprised a pre-conference tutorial from Dr. Manjunath S.,
Samsung Electro Mechanics, and Dr. Punitha, IBM and, as well as keynote talks from
Prof. N. Sundararajan, NTU, Singapore, Prof. Michael Carl, Copenhagen Business
School, Denmark, Dr. M. Pratama, NTU, Singapore, Prof. S. R. M. Prasanna, IIT
Guwahati, Prof. Savitha Ramasamy, ASTAR, Singapore, and Dr. Vigneswaran,
ASTAR Singapore.
We would like to gratefully acknowledge the support received from J.S.S.
Mahavidyapeetha in organizing this conference. We are grateful to all the researchers,
reviewers, speakers, and the organizing team for helping us attain the objectives
of the conference. We are sure that this conference has opened up a new platform for
the researchers to share their ideas for continuous improvement. We hope that the
conference proceedings will be inspiring to readers to pursue further research in the
area of cognitive computing and information processing.
Chief Patron
His Holiness
Jagadguru Sri Shivarathri Deshikendra Mahaswamigalavaru
Veerasimhasana Math, Sutturu Srikshethra, President, JSSMVP, Mysuru
Patrons
C. G. Betsurmath JSSMVP, Mysuru
M. H. Dhananjaya JSSMVP, Mysuru
C. Ranganathaiah JSSMVP, Mysuru
B. G. Sangameshwara JSSSTU, Mysuru
Karisiddappa VTU, Belagavi
B. R. Umakanth JSSMVP, Mysuru
Co-patrons
Mrityunjaya V. Latte JSSATE, Bengaluru
T. N. Nagabhushan SJCE, Mysuru
General Chairs
Prabhudev Jagadeesh JSSATE, Bengaluru
Chayadevi M. L. JSSATE, Bengaluru
Advisory Committee
H. N. Jagannatha Reddy VTU, Belagavi, India
Satish Annigeri VTU, Belagavi, India
D. K. Subramanian IISc, Bengaluru, India
S. S. Iyengar Florida International University, USA
Ajith Abraham MIR Labs (Global Operations), USA
Buyya Rajkumar University of Melbourne, Australia
Venkatesh Babu R. IISc, Bengaluru, India
Erik Cambria SCE, NTU, Singapore
K. Subramanian NTU, Singapore
Haijun Rong Xi’an Jiaotong University, China
V. Mani IISc, Bengaluru, India
R. V. Babu IISc, Bengaluru, India
F. Bremond Inria-Sophia Antipolis, France
VIII Organization
Steering Committee
N. Sundararajan EEE, NTU, Singapore
S. Suresh SCE, NTU, Singapore
H. J. Kim Korea University, Seoul, South Korea
Prabhu Shankar UCDavis, USA
Oleg Medvedev Moscow State University, Russia
Hanseok Ko Korea University, Seoul, Korea
S. N. Omkar IISc, Bengaluru, India
Jayadeva IIT, Delhi, India
P. Nagabhushan IIIT, Allahabad, India
Guru D. S. University of Mysore, India
S. K. Padma SJCE, Mysuru, India
Nagabhushana JSSATE, Bengaluru, India
Swamy D. R. JSSATE, Bengaluru, India
Organizing Chairs
N. C. Naveen JSSATE, Bengaluru
Dayananda P. JSSATE, Bengaluru
Publication Chairs
Malini M. Patil JSSATE, Bengaluru
Sneha Y. S. JSSATE, Bengaluru
Seema Shukla JSSATE, Noida
Tutorial Chair
Nagasundara K. B. JSSATE, Bengaluru
Finance Chair
Snehalatha N. JSSATE, Bengaluru
Publicity Chairs
Sharana Basavana Gowda JSSATE, Bengaluru
Abhilash C. B. JSSATE, Bengaluru
Anil B. C. JSSATE, Bengaluru
Organizing Committee
Michael Carl
This study investigates the coordination of reading (input) and writing (output)
activities in from-scratch translation and machine translation post-editing. We segment
logged eye movements and key logging data into minimal units of reading and writing
activity and model the process of post-editing and from-scratch translation as a Markov
model. We show that the time translators and post-editors spend on source or target text
reading predicts with a high degree of accuracy how likely it is that they engage in
successive typing. We further show that the typing probability is also conditioned by
the degree to which source and target text share semantic and syntactic properties. The
minimal Markov model describes very basic factors which are suited to model the
cognitive processes occurring during translation and post-editing.
Human Cognition Inspired Learning Strategies
for Particle Swarm Optimization Algorithm
Narasimhan Sundararajan
These days, the nature of global optimization problems especially for engineering sys-
tems have become extremely complex and it is difficult to locate the true optimum
solutions. For these types of problems, finding the optimal/near-optimal solution in a
quick and efficient way is very important and here only search based methods are found
to be effective. Among the search-based methods, nature inspired optimization algo-
rithms are providing much better solutions. A well-known nature inspired method, the
Particle Swarm Optimization (PSO) algorithm has been mostly preferred due to its
simplicity and ability to provide better solutions and it has been proven to be more
effective for solving complex real-world problems. The limitations associated with PSO
have been extensively researched and different modifications, variations and refinements
to PSO have been proposed for enhancing the performance of the algorithm. These
include parameter tuning, neighbourhood topologies and unique learning strategies.
The PSO variants with unique learning strategies are found to be more effective in
enhancing the convergence characteristics of the basic PSO algorithm. All these variants
have utilized the behaviour of the swarm which limited the usage of intelligence and
motivated us towards exploring human cognitive learning principles for PSO.
As discussed in learning psychology, human beings are known to be intelligent and
have good social cognizance. Therefore, any optimization technique employing
human-like learning strategies should prove to be more effective. In this talk, first the basic
PSO and its variants will be presented to show the status of current work. Then the human
cognition inspired learning strategies will be introduced to address the limitations of PSO
and enhancing its convergence characteristics. By mimicking the human-like behaviour,
the PSO algorithm has shown faster convergence and closer to the optima over diverse set
of problems being a potential choice for complex real-world applications. Recent
developments in this area undertaken by our group will be highlighted.
Speech Processing: Human
Cognition vs Cognitive Computing
S. R. Mahadeva Prasanna
Mahardhika Pratama
The era of big data in highly complex environments calls for algorithmic development
of advanced machine learning techniques and visualizations to transform massive
amounts of information into useful references to help decision making process in
real-time. This talk aims to discuss online real-time strategies for data stream analytics
that provide concrete solutions to unsolved issues in data streams analytics, namely
uncertainty in data distribution, uncertainty in data representation, uncertainty in data
dimensions, uncertainty in data processing, and uncertainty in data visualization.
Understanding Brain Effects
of Neuro-Psychiatric Disorders via MRI
Vigneshwaran
Savita Ramasamy
Public healthcare providers are faced with the challenge of providing quality care at
lesser cost. The availability of huge heterogenous data sets available in such healthcare
settings provide a wide scope for the development of clinical decision support using
predictive analytics and data mining tools. Existing clinical decision support tools do
not address the individual needs of patients, and often do not translate to care decisions
that clinicians can leverage on. This talk will focus on our recent work in the devel-
opment of a predictive analytics solution for a personalized clinical decision support
tool. The decision support tool comprises of two main components, namely, neural
network predictor to predict the readmission risk for patients and the cost of care, and a
multi-objective optimization that optimizes the risk and cost based on the model-based
outcomes, constrained based on the desired clinical outcomes. Preliminary results from
the study will also be discussed.
Contents
Eyes Open and Eyes Close Activity Recognition Using EEG Signals . . . . . . 3
Barjinder Kaur, Dinesh Singh, and Partha Pratim Roy
Position Error Analysis of IRNSS Data Using Big Data Analytics. . . . . . . . . 201
M. Geetha Priya and D. C. Kiran Kumar
Human Action Detection and Recognition Using SIFT and SVM . . . . . . . . . 475
Praveen M. Dhulavvagol and Niranjan C. Kundur
Barjinder Kaur1 ✉
( )
, Dinesh Singh1 , and Partha Pratim Roy2
1
DCRUST, Sonepat, India
kaur.barjinder@gmail.com, dinesh.madhav@gmail.com
2
IIT Roorkee, Roorkee, India
proy.fcs@iitr.ac.in
1 Introduction
Brain Computer Interface (BCI) is a mechanism of acquiring the neuro signals. These
acquired signals store mirage of information that has been proved helpful in diagnosing
various diseases, and providing help for motor-disabled people. Various methods like
Electroencephalogram (EEG), Magnetoencephalogram (MEG), functional Magnetic
Resonance Imaging (fMRI), Positron Emission Tomography (PET), etc. are available
to capture the brain functionality. However, taking into account the cost and easy port‐
able aspect, EEG has been widely used by researchers [5, 6, 14] as it provides a non-
invasive monitoring method to analyze the brain recordings, and is frequently used to
implement different BCI systems.
The brain oscillations are usually measured between 0.5–40 Hz frequency range.
Thus, based on these measurements EEG signals are segregated into five rhythms,
namely, delta (0.5–<4 Hz), theta (4–7 Hz), alpha (8–15 Hz), beta (16–32 Hz) and gamma
(32 Hz above) that are omnipresent in different parts of the brain [5]. EEG helps in
detecting the various abnormalities of the brain like sleeping disorders, emotional
variance, seizures detection, and in the recent past researchers have been widely using
EEG signals for proposing user identification systems [5, 6], Neuromarketing [14],
rating prediction systems [4] and envisioned speech recognition [7]. Although normal
EEG patterns are easily recognizable, but to evaluate the reason of change in EEG signals
is a cumbersome task. The human brain consists of about 86 million neurons which helps
in controlling all the conscious and unconscious daily decisions [3]. Recognizing and
detecting the activity that could have lead to abnormal behavior of the neuro signals has
made the researchers to analyze the activity happened during the course of action.
Saghafi et al. [11] used power spectrum, variance, maximum, and range features to
discriminate between the eye state change. The authors have used Logistic Regression
and Artificial Neural Network (ANN) classifier to evaluate the system performance
whereas an auto regressive power feature has been used to discriminate between eyes
close and eyes open state. High frequency power has been reported in frontal, parietal,
and occipital areas in eyes close state.
Öner et al. [8] investigated the moments of the eyes using one-channel. The
authors focused on the ocular movements of the eye. The features were selected
using analysis of variance (ANOVA) function and a linear fit model has been used
to report the higher presence of delta rhythm while performing the task. However,
their study was conducted with EEG data of 2 subjects. In [13], the authors have
analyzed left and right hemisphere of the brain using EEG signals recorded in eyes
open state. Occipital lobe and left hemisphere were found more active by analyzing
alpha band waves. Qidwai et al. [10] analyzed the data of six subjects to discrimi‐
nate the two motor activities EO and EC. Different angle features of the eye states
were used for feature extraction and fed directly into a Multilayer Perception (MLP)
based Neural Network classifier for recognition purpose. The authors in [2] have
proposed a methodology to detect the left and right fist motor movement activity
using EEG signals of 6 subjects only. The signals were filtered with a notch filter and
were further preprocessed using Automatic Artifact Removal (AAR) technique. They
have used DWT based signal decomposition technique and three different features,
namely, power, mean and energy were extracted for classification purpose. Simi‐
larly, the classification of imagined left and right fists movement was proposed in [1]
using EEG signals of 20 users. Root Mean Square (RMS) and Mean Absolute Value
(MAV) features were extracted and modeled using SVM and ANN classifiers where
accuracies of 84.5% and 82.1% were recorded from 3 channels, respectively.
Accurate recognition of the performed activity by analyzing EEG signals not only
proves helpful in healthcare but also contributes towards self-evaluation of changes in
daily health parameters. Therefore, in this paper, we analyzed the neuro signals for
activity recognition. For this, two activities, namely, eyes open (EO) and eyes close (EC)
are considered. Figure 1 depicts the flow diagram of the proposed approach, where brain
signals are recorded in one of the two states i.e. EO and EC. The recorded signals are
then preprocessed and two features, namely, Standard Deviation (STD) and RMS are
Eyes Open and Eyes Close Activity Recognition Using EEG Signals 5
Fig. 1. Framework for eyes open and eyes close activity recognition using EEG Signals.
Here, we present the details of the preprocessing techniques used to filter the raw signal
data and the features extracted before classification of the activities.
Preprocessing. It has been analyzed that while recording the data, the EEG signals are
always contaminated with unwanted noise from the surroundings, hair, ocular move‐
ments etc. To get the enhanced performance of the system these artifacts need to be
removed. Bio-signals being non-stationary in nature tends to get distorted due to sensi‐
tiveness of the device. Also, it has been researched that the human brain activities are
limited upto 40 Hz, where higher value signifies noise. Therefore, to remove such noise
and to restrict the frequency till 40 Hz, a low pass filter is used. For this, we have used
a Butterworth low pass filter of 5th order to preprocess [9] the EEG signals. The filter
can be defined using (1).
where n denotes the filter order with normalized cutoff frequency Wn. It returns the filter
coefficients of length n + 1 as row vectors q and p, along with the coefficients z in
descending powers.
Wavelet Analysis and Statistical Features. As EEG signals are non-stationary, there-
fore, DWT provides a flexible way to analyze the signals in time-frequency domain [5,
14]. It is an analysis technique that is based on sub-band decomposition coding pro-
viding easy implementation and also helps in reducing the computation time. DWT is
6 B. Kaur et al.
widely used in applications including emotion detection, security, seizure detection and
gaming, etc. In this work, we have used Daubechies-4 (DB-4) wavelet to decompose
the EEG signals into five sub-bands, namely, gamma, beta, alpha, theta and delta. Next,
two statistical features i.e. STD and RMS have been extracted from the sub-bands. More
details about the DWT and features can be found in [5].
Here (w ⋅ x) represents the dot product between weight vector w and x data with
binary class. The parameter b is defined as a scalar that is often referred to as the bias.
The term αi denotes the embedding coefficients and k <xi, x> is the kernel represented
by the dot product i.e. <., .>. The experimental results are classified by varying kernel
functions i.e. linear and Radial Basis Function (RBF).
3 Results
Here, the details of the dataset and the results of activity recognition are presented. The
computation of the results has been performed using 2-fold cross validation. The details
are as follows.
For activity recognition, a freely online available EEG-based motor movement and
imaginary dataset provided by PhysioNet BCI [12] has been used. EEG signals were
recorded from all 64 channels for 1 min. Two baseline tasks, eyes open (EO) and eyes
close (EC) resting state have been used to collect the data from 109 users and are
considered in this work. In order to detect each activity accurately, the EEG data has
been segmented into 10 s. Thus, a total of 1308 EEG files (i.e. 654 for EC and 654 for
EO) have been created for analysis.
The SVM classifier has been trained for recognizing the activity performed by the users
using the extracted features. The accuracies have been computed for all 5 sub-bands.
Eyes Open and Eyes Close Activity Recognition Using EEG Signals 7
The recognition results are depicted in Fig. 2, where the maximum accuracy of 86.08%
is recorded on gamma band features.
Recognition results for EO and EC have also been evaluated for the gamma band
waves as depicted in Fig. 3, where accuracies of 92.05% and 80.10% are recorded for
both the activities, respectively.
A comparative analysis has also been performed by varying SVM kernels. For this,
we have trained the SVM with Linear kernel using gamma band features and compared
the performance with RBF kernel for activity recognition purpose. The comparison is
depicted in Fig. 4, where the proposed RBF kernel based activity recognition outper-
form the other by a margin of 14.37%.
8 B. Kaur et al.
4 Conclusion
The human brain is a complex structure. Therefore, recognizing the activity performed
by the user is a challenging task. As eyes open (EO) and eyes close (EC) are the most
commonly used baseline activities that users perform while recording EEG signals. In
this paper, we have proposed an activity recognition framework for the two activities
using EEG signals. DWT based signals decomposition technique has been used to
extract statistical features. An online freely available dataset Physionet has been used
in this work that consists EEG signals data of 109 users. The recognition of activities
has been performed using SVM classifier achieving an accuracy of 86.08%. In future,
more activities can be recognized using the proposed framework that will prove helpful
for various healthcare applications.
References
1. Alomari, M.H., Baniyounes, A.M., Awada, E.A.: EEG-based classification of imagined fists
movements using machine learning and wavelet transform analysis. Int. J. Adv. Electron.
Electr. Eng. 83–87 (2014)
2. Alomari, M.H., Samaha, A., AlKamha, K.: Automated classification of L/R hand movement
EEG signals using advanced feature extraction and machine learning. Int. J. Adv. Comput.
Sci. Appl. 4, 207–212 (2013)
3. Azevedo, F.A., Carvalho, L.R., Grinberg, L.T., Farfel, J.M., Ferretti, R.E., Leite, R.E., Lent,
R., Herculano-Houzel, S., et al.: Equal numbers of neuronal and nonneuronal cells make the
human brain an isometrically scaled-up primate brain. J. Comp. Neurol. 513, 532–541 (2009)
4. Gauba, H., Kumar, P., Roy, P.P., Singh, P., Dogra, D.P., Raman, B.: Prediction of
advertisement preference by fusing EEG response and sentiment analysis. Neural Networks
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5. Kaur, B., Singh, D., Roy, P.P.: A novel framework of EEG-based user identification by
analyzing music-listening behavior. Multimed. Tools Appl. 76, 1–22 (2017)
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6. Kumar, P., Saini, R., Roy, P.P., Dogra, D.P.: A bio-signal based framework to secure mobile
devices. J. Netw. Comput. Appl. 89, 62–71 (2017)
7. Kumar, P., Saini, R., Roy, P.P., Sahu, P.K., Dogra, D.P.: Envisioned speech recognition using
EEG sensors. Pers. Ubiquit. Comput. 22(1–15), 2017 (2017)
8. Öner, M., Hu, G.: Analyzing one-channel EEG signals for detection of close and open eyes
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CHAPTER IX
Story
After losing the south-east trades we had light winds and fine
weather with smooth calm sea until we sighted the Falkland Islands;
standing like two silent sentinels of that stormy region of the South
Atlantic Ocean, they have been the scene of many a shipwreck. A
cold, bleak, inhospitable rock-bound coast, around which almost
perpetual gales blow. There are two large islands and several
smaller ones with an area of about thirteen thousand square miles,
very mountainous, situated in latitude 51° 40′ south, longitude 59°
30′ west. They are right in the track of vessels going to and fro
around Cape Horn.
We sighted the islands on Christmas Eve, my first Christmas at
sea. It being summer time, we had twenty-two hours daylight, and
very little darkness. The sun rose at 3 a.m., and set at 11 p.m. The
mountains on the island were covered with pure white dazzling snow,
while in the valleys you could see cattle grazing in beautiful green
pastures, and the rocks by the water’s edge were literally covered
with seals.
Christmas day broke fine and clear, with the most beautiful sunrise
human eyes had ever gazed upon. I have been in many parts of the
world since then, but never have I beheld a sky like that on
Christmas morning off the Falkland Islands. No words could describe
it, for it was indescribable. There was just a gentle breeze, the sea
rising and falling in gentle undulations, with a soft murmuring sound,
whitened by the ivory of crumbling foam, then shaken into sparkle as
though a rain of splintered diamonds was falling, each breath
bringing with it the smell of the kelp from the rock-bound coast. The
sky to the westward was slightly overcast, thinning out towards the
meridian—and towards the east small feathery patches of cloud
floated about in a silver sea, while down near the horizon it was a
clear soft grey. Then the wonderful sight burst upon us, heralding the
rising of the sun the most magnificent coloured rays spread over the
sky. It would need a painter’s brush, and a poet’s language to
describe their beauty. The watch on deck actually called out to the
watch below to come and see it, it seemed to me a fitting scene to
celebrate the day on which the Saviour of the world was born. Many
years have passed since I stood spellbound by that sight, and my
Christmas days have been spent in many lands, but it is as fresh in
my mind as though it were yesterday, and every Christmas day has
brought back the memory of that glorious sunrise off the Falklands.
About eight a.m. the breeze freshened from the eastward, and the
“Stormy Petrel” had every stitch of canvas set, and was making
about ten knots per hour. A course was set for the Straits of Le
Maire, which separate Staten Island from the southern extremity of
the South American Continent. We washed the decks before
breakfast, and from then the day was as a Sunday. The captain
ordered the steward to give us soft tack for breakfast, a luxury you
don’t often get at sea, and an eight bell dinner for all hands in honour
of the day, with a bottle of rum to each watch.
We heard eight bells strike with more relish than usual, as the
captain screwed the sun’s meridian altitude on his sextant, and the
second mate glanced across and actually smiled from the weather
side of the poop. Then forrard one of the men and I went to the
galley for the kids, or food tins. Chaff and good humour were the
order of the day at the galley door, and I rather think cook was not
sorry when it was all over. Then followed the tramp tramp along the
deck with the steaming kids, and at last we had the food all served
up and sat down to eat it. There was real fresh pork, none ever
tasted so sweet, rice soup and potatoes, followed by plum duff, real
genuine plum pudding, with some left over for tea. This was a luxury,
and we made the most of it and for once at sea we had a meal which
made us satisfied with ourselves and things in general. We cleared
away and put things tidy. The day passed away very quietly among
the men, and after supper, the weather being fine, they all sat round
the fore-hatch and spun yarns, real sailors’ yarns, not stories of
goblins and ghosts, but real stern facts out of their own hard lives.
Before they started they tossed up who should begin, and the lot fell
to old George the Greek, and thus he began his story, which was the
best of all.
George the Greek’s Story.
“When I was a boy I lived with my parents at Smyrna. My father
was a fisherman, and I often used to go with him in his boat. I was
passionately fond of the water and all things connected with it, fond
of athletics, and could swim, run, jump or wrestle with any boy in
Smyrna, and was utterly fearless. All the fishermen of the port knew
me and were very good to me.
“My dear old father and mother were good, God-fearing people.
Their dearest and most honoured friend was good Padre Nicola. The
dear old Padre, how he loved me and watched over my young life.
He taught me, with other lessons, to be a brave loving boy, and when
I was old enough he taught me to sing in the little church that his
loving flock had built for him, it was just outside Smyrna on the road
to Ephesus. Often when he came to our house and sat in the little
garden that was so full of flowers and sweet-scented herbs, he would
pat me on the head and say he hoped and prayed that I would grow
up a good man, and a comfort and help to my dear father and
mother.
“Oh, Jesu Christi,” he groaned, and for a few minutes he could not
speak, but after a while he controlled himself and proceeded:
“When I was fourteen years old, an old friend of my father’s,
Captain Petri, came to Smyrna in his brig the ‘Alexanovitch.’ He was
a dear old man, he and my father were boys together in Patras, and
they had not met for years. He spent all his spare time at my little
home and took a great fancy to me. He soon found out that I was
fond of the sea, and asked my father to let me go with him, promising
he would watch over me and treat me as his own son, and make a
sailor of me too. My father and mother were very loth to part with me,
but Captain Petri had no son or daughter of his own, and they knew
he would do all he had promised for me.
“So they spoke to the Padre about it. The dear old man said how
sorry he, too, would be to lose me from the choir of the little church,
but it was a good chance for me. He would pray the good God to
bless me, and keep me good and true, and so, to my delight, it was
settled that I was to go with Captain Petri in the ‘Alexanovitch.’
“My poor mother was heartbroken to lose her boy, for deep down
in her heart she had hoped to see me settle at home, and become
the village schoolmaster, but it was not to be.
“The following week was both a busy and a happy one for me, the
happiest week of my life. The choir of the church in which I had now
sung for several years got up a grand supper and the dear old Padre
took the chair. What good wishes were given to me, what earnest
prayers for my future. They presented me with a beautiful Douay
Bible and Missal with my name on the fly leaf, written by the dear
Padre himself. Oh, it was a cursed day for me when I left the place
and home I loved so well.
“The brig ‘Alexanovitch’ was 300 tons register and carried a crew
of eight all told, the captain, mate, cook, four seamen and one boy.
“The following week saw me on board with my kit, I was to receive
20 drachmas per month. I was delighted, I seemed a rich man all at
once, my word but I did.
“We sailed at last for Alexandria, and my poor old father
accompanied me in his boat as far as Khios. Little he or I thought we
should never meet again. We had a pleasant twenty days voyage to
Egypt, the ‘Alexanovitch’ was anything but a fast sailor, in fact, the
greatest speed we could get out of her was seven knots an hour.
“On our arrival we went direct to the wharf, and discharged the
cargo with the crew. We were three weeks at Alexandria and every
night Captain Petri would take me with him and show me all the
wonderful places in that famous ancient city, that was built by
Alexander the Great. We visited the palaces of the Pashas, the
Mosques, Arsenal, etc., I could not now remember one half of the
places we went to. It would take many months, and much money to
explore and see all the sights of Alexandria. It is said that in the year
640 A.D., when the Saracenic General Amer conquered the city, in his
report to his royal master, the Caliph, he said he had found four
thousand palaces, four thousand baths, forty thousand Jews paying
tribute, four hundred royal circuses, and twelve thousand gardeners
who supplied the city with herbs and vegetables. To my young mind
it was all so wonderful and never having been out of Smyrna, I was a
little bewildered with all I saw.
“By this time our cargo was discharged, and we had loaded again
for Constantinople, and on leaving Alexandria we had a succession
of gales of wind, in which the old brig got terribly knocked about, and
this was the beginning of our troubles. When we were off the Island
of Rhodes, our boats were washed away by a heavy sea, and a
considerable amount of damage was done about the deck. Then off
the Island of Patmos, the mate was washed overboard and drowned,
and every man on board was bruised and sore with the buffeting. To
make matters still worse, when we were off Cape Sagri, poor old
Captain Petri was knocked down by a heavy sea and injured, and all
through the Dardanelles the bad weather continued.
“When we arrived at Constantinople our crew was completely worn
out, Captain Petri was taken seriously ill, and had to leave the ship. I
was very sorry to part from him, but was getting more confidence in
myself, and so resolved to stop by the vessel.
“The agent appointed another captain. He was a Turk, a native of
Havac on the Bosphorus. He was a tall strong looking young man,
with a long pointed moustache, and a villainous look on his face, and
as was afterwards proved, his face was a true index to his character.
“We lay four weeks at Constantinople. The men asked me to go on
shore with them, and I was unable to refuse, as they said they would
show me round, and they did, but may Heaven’s curse fall upon
them. They took me into all the dens of infamy, among the lowest of
the low in that terrible city of corruption and vice. They taught me to
forget all the good my dear old mother had taught me at her knee,
and made me laugh at words that the dear old Padre had spoken so
reverently.”
Again the old man broke down with the agony of remembrance.
“Oh, Jesu Christi,” he murmured, “why did I leave the dear home,
and the mother who was so proud of me, and who loved me so.
Never again have I looked on her sweet face, or heard her voice,
never again have I sat in the little church and heard the dear Padre’s
blessing. For forty long years have I roamed around the world, but
never again have I looked on those dear faces that I loved so well.
But God is good, and some say that I may see them in that land
where all these things are forgotten and forgiven.”
For a few minutes he was silent, lost in memories of the past, then
he continued:
“We finished loading at last, and then hauled out to the anchorage
off Scutari, and that evening while at anchor, at about nine-thirty
p.m., a small boat came off from the shore, containing an old Turkish
gentleman and a boy. He climbed on board very smartly for his
apparent age, and asked for the captain. I called the captain, who at
once came, and after a few remarks were passed at the gangway, he
asked him into the cabin. They were there about half an hour, when,
going in suddenly, I saw the visitor paying over some money to the
captain, they came out shortly afterwards, and the gentleman was
pulled back to the shore.
“We were bound for Algiers and Morocco, and were to heave up
the anchor at daylight. About 2 a.m. a boat pulled off from the
‘Golden Horn,’ and came alongside, in it was the same old
gentleman who had visited us earlier in the evening. He had with him
two large portmanteaux and one small handbag. The portmanteaux
were handed up, but he would not part with the handbag. As soon as
he was on board, orders were given to heave up the anchor, and
setting all sail, we stood out of the Bosphorus, and shaped our
course for the Sea of Marmora.
“When breakfast time came, the passenger told me to bring his
breakfast to his room, I did so, and he never left his room or came on
deck for one moment all that day. This caused a lot of talk amongst
the crew. Like most small coasters, we all had our food together, and
during the meals the talk was generally about the passenger and his
luggage. It was suggested by the captain that the passenger had
robbed a bank or something else, and that his luggage contained the
proceeds of the robbery, and he added, ‘as we are helping him to
escape, we ought to have a share of the plunder.’ All hands heartily
agreed to this suggestion.
“We had a fresh breeze across the Sea of Marmora, and entered
the Dardanelles with a moderate gale after us. The following day we
cleared the Dardanelles, and with a brisk gale from the north we
stood towards Tenedos Island. That morning, while we were at
breakfast, the cook said he had peeped through the keyhole during
the night, and had seen the Turkish passenger putting a lot of jewels
into a body belt out of his small bag. From that moment he was a
marked man, his fate was sealed. When off Tenedos it was blowing
hard with a big sea running, and the old brig laboured heavily, the
passenger came out of his room, and asked the captain to land him
at Mitylene, as he felt very ill. While he was talking to the captain, the
brig gave a heavy lurch, pitching him head first against the bulkhead,
stunning him for a moment. As soon as he fell the captain sprang
into the room, and began looking for the small handbag. Whilst he
was searching for it, the passenger revived, and seeing the captain
in his room, he drew his revolver and fired at him, wounding him in
the leg. The captain closed with him at once, and in a moment,
hearing the shot, all hands rushed into the cabin, and seeing the
captain and passenger struggling together they sprang to the
assistance of the captain, and drove their knives into the
passenger’s body.
“It was all done in a moment, and the old man lay dead at the feet
of his murderers. They looked at one another for a moment, then,
after a consultation, it was decided to throw the body overboard. But
before doing so, the mate sent one of the men, who had taken part in
the murder, to relieve the man at the wheel, when this man came into
the cabin, the mate told him to stick his knife into the body, so that all
should share alike. This the man did without a moment’s hesitation.
The captain turned to me, his eyes glaring fiercely and said:—‘Here,
boy, come and do your part.’ I drew back and refused, but he seized
me by the throat, and threatened to serve me the same as the
passenger, if I did not do so. I knew too well he would put his threat
into execution if I either hesitated or refused, so I took my sheath
knife and drove it into the poor body, but thank God he never felt my
blow.
“The body was then thrown overboard, and the blood mopped up
off the cabin floor. During this time the old brig had been racing along
before a gale of wind under the full topsail and foresail, and yawing
about very badly, it was quite impossible to steer her straight. The
weather, too, was becoming hazy. The passenger’s luggage was
then brought on deck and examined. The small bag was nearly full of
jewellery, mostly diamonds, the portmanteaux contained some
clothing, a lot of gold and silver coins, and several rolls of parchment
and notes. Just at this time the brig broached to, and shipped a very
heavy sea. All hands now rushed on deck and set to to shorten sail.
The weather got worse and worse and the sea was getting
dangerous, so the captain decided to run to leeward off Mitylene and
shelter.
“After the sail had been reduced and the brig made snug, the crew
all gathered together in the little cabin. I was sent to the wheel. The
night was pitch dark, and the vessel had no light hung out, the only
one on deck was the small light on the binnacle.
“The money and valuables were then spread out on the table in
the cabin, and divided amongst them. But for some reason or other
they fell out over the division. The captain to quieten them brought
out some bottles of spirits, but no sooner had the spirits begun to
take effect than they charged the captain with taking part of the
diamonds while they’ were aloft at the sails. This he denied, although
at the time he had the body belt full of the diamonds and jewellery on
his person, which he had taken off the dead body while they were
aloft. In an instant knives were drawn and the captain was stabbed to
death. Then pandemonium reigned supreme.
“The night was dark as Erebus, the brig was rushing along wildly, I
could not keep her on her course. I called and called to be relieved,
but no one heeded me. They were by this time all mad drunk,
gloating over the spoils. The body of the dead captain still lay on the
deck. The mate gave it a kick, and in doing so heard something clink.
In an instant he was on his knees and found the body belt and the
jewels.
“‘Share! Share!’ cried all, but half crazed with drink, the mate
refused. Then the others rushed at him with their knives. He sprang
on one side, and rushed on deck by the wheel. Here they closed with
him and a terrible scuffle took place. In a few minutes the cook and
one man got up, leaving the mate and three seamen dead on the
deck. I was terrified, and could scarcely hold on to the wheel.
“There were only the two men and myself left on board. They went
back into the cabin, taking no notice of me, and just as they left the
deck I saw broken water on the bow. I called out to them, but before
the words were out of my mouth the ship crashed on to the rocks of
Cape Segre, Mitylene Island. As she struck end on, a tremendous
sea came over the stern and washed me clean over the side among
the rocks. I managed to swim to the back of one large rock, and
found myself in smooth water, and was able to climb up out of the
water. The old brig had gone to pieces, at once. I never saw a
vestige of the two men or heard a single cry. I think they were killed
as she struck. They had died in their sins—died drunk, with the awful
crime of murder on their souls. Judgment had come swiftly. God’s
vengeance had been sharp and sure.
“I lay on the lee side of the large rock where I had landed, until
daylight. I had escaped without a scratch. God had taken care of me.
“At daylight I swam to the mainland of Mitylene, and made my way
to the town of Gavatha on the north side of the island, and reported
the loss of the vessel. I was at once put into some dry clothes and a
good meal put before me, and a party was despatched to the scene
of the wreck to see if any more of the crew had escaped. But there
were none left to tell the tale but me. I did not mention the
passenger, or what had taken place before the wreck. I was too
afraid, I did not know what to do, for they might not believe my story.
I felt I could never go home again, never look into my dear mother’s
face again, or hear the dear old Padre’s blessing, or feel his hand
upon my head. The next day I was very ill, and one of the fishermen
put me to bed in his cottage and bade me sleep and rest.
“In a few days I was better, and the good folk asked me where I
lived and the name of the lost vessel, and offered to keep me there
until my people were communicated with. I agreed to that and
thanked them heartily, but made up my mind not to go home.
“I found a vessel loading there for Liverpool, and went on board
with the labourers the day before she sailed, and when an
opportunity offered I stowed away in the hold. The vessel sailed next
day, and a few hours after leaving port I was discovered, but the
officers did not touch me, they seemed sorry for me. So I worked my
way round to Liverpool, and got a ship there bound for California.
The day before we sailed from Liverpool I saw a Greek sailor that I
had known in Smyrna, but I hid myself and got clear away.
“For forty-five years I have roamed about the world, but from that
day to this I have never heard one word from home or parents.”
CHAPTER X
Just as George the Greek had finished his story we heard the mate
calling to shorten sail. All hands sprang up in a minute. For us
Christmas was over—the wind had increased rapidly and the sky
had assumed a very threatening appearance. The sea soon rises off
Cape Horn, and in a very short time it was rolling mountains high,
and breaking on board with terrific effect. The barque was at once
reduced to lower topsails and foresail. The captain had been steering
to pass through the Straits of Le Maire, but the wind chopping into
the south-west, made him alter his mind and pass to the eastward of
Staten Island.
So far we had been sheltered while to leeward of the island, but as
soon as we opened out into the Pacific we got a most terrible
dressing down. The sea rolled down like mountains. In no part of the
world do you meet with such gigantic rollers as off Cape Horn, and it
looked as though every sea that came along must engulf the “Stormy
Petrel.” The crew were kept employed re-fastening and re-lashing
things about the deck, everything moveable was put into a place of
safety and thoroughly secured. The sea was making clean sweeps
over her. Then the wind backed into the west-northwest and blew a
perfect hurricane. There was no comfort for anyone on board, the
sky was clear as a bell, and the immense rollers were a sight to see.
The gale continued with unabated fury, the water falling on the deck
in huge green seas, sometimes it seemed as if she had settled
down, then she rolled and rose gradually; the water washing from
side to side like cataracts until about a foot of water was on the deck.
Day after day and week after week were we striving to get round that
terrible Cape, but like “Vanderdecken,” in the old legend of the flying
Dutchman, who swore that no power in heaven or hell should hinder
him from entering Table Bay off the Cape of Good Hope, and for this
oath was condemned for ever to beat about the entrance, but was
never able to enter, so for six long weary weeks we were plodding at
it, heartsore and limbsore with not a ray to comfort or cheer us.
One morning, just as we were about to wear ship, a gigantic sea
struck her on the side between the for and main mast, the top of it
going clean over the ship and the spray actually going over the upper
topsail yard.
On Sunday, the first day of the seventh week since we passed
Staten Island, the wind suddenly shifted into the south, and began to
blow just as hard as ever. This caused a terrible cross sea, which
was very nearly fatal to the “Stormy Petrel” as well as to some of our
crew. We had just wore ship, and were about to set the upper
topsails, when I saw a terrific sea rolling up on the weather quarter. I
sang out for all I was worth to everybody on deck to hold tight—the
words were hardly out of my lips when the sea broke over the stern. I
just managed to spring into the rigging out of the way. First the sea
engulfed the man at the wheel, tearing him from it, and washing him
overboard, then it swept the cabin skylight off in pieces, smashed the
raised part of the cabin flat on the deck and flooded the deck fore
and aft. When the helmsman was killed and washed overboard, the
ship’s head swung round to the westward and brought the terrible
cross sea abeam, and almost before we realized our position
another sea broke on board, just abaft the fore rigging, striking the
cookhouse fairly on the side, smashing it up like so much
matchwood and crushing to death two men who had taken shelter
there. In the meantime the captain had sprung to the wheel, I
dropped from the rigging and went to his assistance. By God’s mercy
there was a lull for a minute, and the gallant little vessel swung off to
her course, but for a few moments it looked doubtful if she could
clear herself of the water on her deck, but a great headless sea
came rolling along under the weather quarter almost throwing her on
her beam ends and emptying the water off her. I looked along the
deck and everything forward of the mainmast was swept clean. The
cookhouse, the pigstye, the hencoop, a sheep-pen that had been
built on the fore-hatch, all were gone, leaving not a stick to show
even where they had stood. The forecastle also had been gutted by
the sea and most of the sailors’ effects washed overboard.
“Loose the foresail,” sang out the captain at the wheel.
“Aye, aye, sir,” answered George the Greek, and the big
Frenchman together, springing up and casting off the lashing. The
sail was set, and the storm-battered “Stormy Petrel” bounded on her
way.
“All hands lay aft!” called out the mate.
When the men got aft to the poop the roll was called, and it was
found that three of the men were missing. The Manilla man, Antonio
Lopez, was washed overboard from the wheel, two of the Turks,
Enrico Hermos and Suleman Sulemore were killed and washed
overboard with the cookhouse. We were indeed in a sad plight, but
we did not stand long idle, the boats were gone, the cookhouse had
gone, and we had lost nearly all our clothes, but we all set to with a
will and made the best of it.
The weather moderated a bit, and we turned to unbending the old
sails, and getting up the new ones, for a ship, unlike people on shore
puts on her best clothes in bad weather, and we were soon on our
way before a favourable wind. Captain Glasson had also given us a
stock of clothes out of the slop chest onboard.
Next the carpenter put up a temporary cookhouse, and we made
some cooking utensils out of some empty paint and oil drums. It is
said that necessity is the mother of invention, that was so, for in this
case we made some wonderful and useful cooking pots.
We had a good spell of fine weather that carried us up to abreast
of Valparaiso, and on the Sunday, there being no work done, all
hands turned to and cleared up the forecastle. The wet and soiled
clothes were brought out on deck, the chests moved, brooms,
buckets of water, swabs, scrubbing brushes and scrapers were
carried down and used with a right good will until the floor was once
more as white as chalk, and everything neat and in order. The
bedding from the berths was spread on deck to dry and air, the deck
tub filled with water, and a grand washing began of all the clothes
brought out. Shirts, drawers, trousers, jackets, stockings of every
shape and colour, wet, dirty, and many of them mouldy from having
been left in a wet foul corner since the storm, all were well scrubbed
and washed and then made fast to the rigging to dry. Wet boots and
shoes were put in sunny places on deck to dry and the ship looked
like a floating laundry. Then we had what sailors call a freshwater
wash, which means each one gives a little of his allowance of fresh
water, this is all put into buckets and one after the other uses the
same water to loosen the grime and dirt off the skin, and finishes off
with buckets of salt water being thrown over each other, then, having
shaved and combed and put on clean dry shirts and trousers, we sat
down in the clean forecastle, which, with us, looked several degrees
lighter for its clean up. We spent the rest of the day reading, talking
and sewing at our ease. At sunset all the clothes, boots, bedding,
etc., were taken in, and we felt we had got back to the pleasant part
of a sailor’s life and hoped it would continue. But, alas for these
hopes—the very next day we got a nasty set back, the wind
suddenly died away, and after a few hours calm, it sprang up from
the north-west, and in a couple of hours was blowing a perfect
hurricane. The sea rose just as quickly, and the “Stormy Petrel” was
soon reaching on the starboard tack, and burying herself in the sea.
When midnight came the sea was running mountains high again,
threatening all that came in its path with destruction.
Just as the watch was being relieved, the lookout reported a ship
on the weather beam, and directly afterwards another on the
starboard or weather bow. Both ships seemed to be running before
the gale, the one on the bow was under topsails and foresails, the
ship abeam had her topgallant sail set and seemed to be coming
straight for us. All hands stood watching to see them pass.
When the weather ship, which appeared to be light, got within a
couple of miles of us she appeared to haul to the eastward to pass
astern of us, but when she came within a mile of us, those on board
seemed to change their minds and she shewed us her red light only.
The next moment, to the surprise and horror of all on board, the ship
broached to and as the enormous pressure of wind and sea was
brought to bear on her side, she capsized and sank at once with all
on board. There was not a moment to get a boat out; they were all
launched into eternity without a moment’s warning. We were
powerless to help, having lost our boats, and if we had had the best
boats in the world, they could not have lived in such a sea. What
caused that terrible accident will never be known, there are so many
causes to bring about such a disaster—bad and careless steering,
broken steering gear, the helmsman may have been thrown over the
wheel and hurt, as so very often happens, but whatever the cause, it
was a terrible sight to see, and at the same time to be unable to
render any assistance. It cast a gloom over our crew, and brought
back to our memory the very narrow escape we had had, when in
just such a storm we had lost three of our shipmates off Cape Horn.
The following day the wind veered into the south-west, and again
we stood on our course. Soon we had all sail set, and were making a
good ten knots per hour. We passed close to the island of Juan
Fernandez, made famous by Defoe as the island home of Robinson
Crusoe, or, as his real name was, Alexander Selkirk, and his man
Friday. The island is so situated as to make a splendid setting to that
most interesting story, standing as it does in the South Pacific, about
400 miles from the coast of Chili, and about twenty-five miles long
and about four in breadth. The land is very high, rising in rugged
peaks. One of them, called Yunque, being 3,500 feet above the level
of the sea. The peaks are generally overhung with clouds, and the
valleys are very fertile, the grass growing to a height of six and eight
feet. The most delicious fruits grow in abundance, and in their
season the trees are loaded with figs, peaches, and cherries, the
valleys and hillside being crowded with trees. An immense number of
goats run wild on the island, and an abundance of fish is taken on
every coast, while the water is obtained from the never failing rivulets
that trickle down the rugged rocks like threads of silver from the
cloud-capped mountains. All things considered, Robinson Crusoe
must have had a good time during his stay there.
All hands were now employed getting the cargo gear ready for
use; there were strops to make, pennants to overhaul, purchase
blocks to examine, and scores of other jobs to do before we reached
Callao, but, as most of our deck stores had been washed overboard,
and lost off the Horn, we could only wash her down, having no paint
to put on her. Many think a ship is in her finest condition when she
leaves port for a long voyage, not so, far from that, for unless a ship
meets with a bad accident, or comes upon the coast in the dead of
winter, when it is impossible to do work upon the rigging or, like us,
loses her deck stores, she is generally in her finest order at the end
of the voyage, and captains and mates alike stake their reputation for
seamanship upon the appearance of their ship when they haul into
dock. Everything from the rigging to the forecastle is scraped and
scrubbed, painted or varnished, the rust is pounded off the chains,
bolts, and fastenings, everything that is useless is thrown overboard,
then, add to this all the neat work about the rigging that only a sailor
can understand—the knots, flemish-eyes, splices, seizings,
coverings, pointings, and graffings—which shew a ship in the best of
order, and then that which looked still more like coming into port, the
getting the anchor over the bows, bending the cables, rousing the
hawsers up from between decks, and overhauling the deep-sea lead
line.
Then another thing, the voyage being nearly over, everybody is in
the best of spirits, the strictness of discipline is relaxed, for
everything is done with a cheery goodwill, the little differences and
quarrels that crop up during a voyage are forgotten, everybody
seems friendly, even Mr. Ross, the second mate, who had been like
a bear with a sore head since we left Liverpool, unbent and smiled at
the little jokes that passed round amongst the men. From each and
all the strain was lifted as we dropped anchor in the Bay of Callao,
after a passage of one hundred and thirty-five days.
CHAPTER XI