[AISWorld] Newly published papers of JCSE (Mar. 2016)

Thu Mar 31 00:47:27 EDT 2016

Dear Colleague:

We are pleased to announce the release of a new issue of Journal of
Computing Science and Engineering (JCSE), published by the Korean Institute
of Information Scientists and Engineers (KIISE). KIISE is the largest
organization for computer scientists in Korea with over 4000 active members.

Journal of Computing Science and Engineering (JCSE) is a peer-reviewed
quarterly journal that publishes high-quality papers on all aspects of
computing science and engineering. JCSE aims to foster communication between
academia and industry within the rapidly evolving field of Computing Science
and Engineering. The journal is intended to promote problem-oriented
research that fuses academic and industrial expertise. The journal focuses
on emerging computer and information technologies including, but not limited
to, embedded computing, ubiquitous computing, convergence computing, green
computing, smart and intelligent computing, and human computing. JCSE
publishes original research contributions, surveys, and experimental studies
with scientific advances.

Please take a look at our new issue posted at http://jcse.kiise.org
<http://jcse.kiise.org/> . All the papers can be downloaded from the Web
page.

The contents of the latest issue of Journal of Computing Science and
Engineering (JCSE)

Official Publication of the Korean Institute of Information Scientists and
Engineers

Volume 10, Number 1, March 2016

pISSN: 1976-4677

eISSN: 2093-8020

* JCSE web page: http://jcse.kiise.org

* e-submission: http://mc.manuscriptcentral.com/jcse

Editor in Chief: Insup Lee (University of Pennsylvania)

Il-Yeol Song (Drexel University) 

Jong C. Park (KAIST)

Taewhan Kim (Seoul National University)

JCSE, vol. 10, no. 1, March 2016

[Paper One]

- Title: An Improved Hybrid Canopy-Fuzzy C-Means Clustering Algorithm Based
on MapReduce Model

- Authors: Wei Dai, Changjun Yu and Zilong Jiang

- Keyword: FCM; Canopy; Clustering; MapReduce

- Abstract

The fuzzy c-means (FCM) is a frequently utilized algorithm at present. Yet,
the clustering quality and convergence rate of FCM are determined by the
initial cluster centers, and so an improved FCM algorithm based on canopy
cluster concept to quickly analyze the dataset has been proposed. Taking
advantage of the canopy algorithm for its rapid acquisition of cluster
centers, this algorithm regards the cluster results of canopy as the input.
In this way, the convergence rate of the FCM algorithm is accelerated.
Meanwhile, the MapReduce scheme of the proposed FCM algorithm is designed in
a

cloud environment. Experimental results demonstrate the hybrid canopy-FCM
clustering algorithm processed by MapReduce be endowed with better
clustering quality and higher operation speed.

To obtain a copy of the entire article, click on the link below.
JCSE, vol. 10, no. 1, pp.1-8

[Paper Two]

- Title: A Task Scheduling Method after Clustering for Data Intensive Jobs
in Heterogeneous Distributed Systems

- Authors: Kazuo Hajikano, Hidehiro Kanemitsu, Moo Wan Kim and Hee-Dong Kim

- Keyword: Task clustering; Task scheduling; Heterogeneous; Data intensive

- Abstract

Several task clustering heuristics are proposed for allocating tasks in
heterogeneous systems to achieve a good response time in data intensive
jobs. However, one of the challenging problems is the process in task
scheduling after task allocation by task clustering. We propose a task
scheduling method after task clustering, leveraging worst schedule
length(WSL) as an upper bound of the schedule length. In our proposed
method, a task in a WSL sequence is scheduled preferentially to make the WSL
smaller. Experimental results by simulation show that the response time is
improved in several task clustering heuristics. In particular, our proposed
scheduling method with the task clustering outperforms conventional
list-based task scheduling methods.

To obtain a copy of the entire article, click on the link below.
JCSE, vol. 10, no. 1, pp.9-20

[Paper Three]

- Title: Data-Compression-Based Resource Management in Cloud Computing for
Biology and Medicine

- Authors: Changming Zhu

- Keyword: Biomedical data; Cloud computing; Data compression; Data
reconstruction

- Abstract

With the application and development of biomedical techniques such as
next-generation sequencing, mass spectrometry, and medical imaging, the
amount of biomedical data have been growing explosively. In terms of
processing such data, we face the problems surrounding big data, highly
intensive computation, and high dimensionality data. Fortunately, cloud
computing represents significant advantages of resource allocation, data
storage, computation, and sharing and offers a solution to solve big data
problems of biomedical research. In order to improve the efficiency of
resource management

in cloud computing, this paper proposes a clustering method and adopts
Radial Basis Function in order to compress comprehensive data sets found in
biology and medicine in high quality, and stores these data with resource
management in cloud computing. Experiments have validated that with such a
data-compression-based resource management in cloud computing, one can store
large data sets from biology and medicine in fewer capacities. Furthermore,
with reverse operation of the Radial Basis Function, these compressed data
can be reconstructed with high accuracy.

To obtain a copy of the entire article, click on the link below.
JCSE, vol. 10, no. 1, pp.21-31

[Paper Four]

- Title: Z-Clutching: Interaction Technique for Navigating 3D Virtual
Environment Using a Generic Haptic Device 

- Authors: Deok-Jae Song, Seokyeol Kim, and Jinah Park

- Keyword: Haptic interaction; 3D navigation; Virtual reality

- Abstract

Navigating a large 3D virtual environment using a generic haptic device can
be challenging since the haptic device is usually bounded by its own
physical workspace. On the other hand, mouse interaction easily handles the
situation with a clutching mechanism-simply lifting the mouse and
repositioning its location in the physical space. Since the haptic device is
used for both input and output at the same time, in many cases, its freedom
needs to be limited in order to accommodate such a situation. In this paper,
we propose a new mechanism called Z-Clutching for 3D navigation of a virtual
environment by using only the haptic device without any interruption or
sacrifice in the given degrees of freedom of

the device's handle. We define the clutching state which is set by pulling
the haptic handle back into space. It acts similarly to lifting the mouse
off the desk. In this way, the user naturally feels the haptic feedback
based on the depth (z-direction), while manipulating the haptic device and
moving the view as desired. We conducted a user study to evaluate the
proposed interaction technique, and the results are promising in terms of
the usefulness of the proposed mechanism.

To obtain a copy of the entire article, click on the link below.
JCSE, vol. 10, no. 1, pp.32-38

[Call For Papers]

Journal of Computing Science and Engineering (JCSE), published by the Korean
Institute of Information Scientists and Engineers (KIISE) is devoted to the
timely dissemination of novel results and discussions on all aspects of
computing science and engineering, divided into Foundations, Software &
Applications, and Systems & Architecture. Papers are solicited in all areas
of computing science and engineering. See JCSE home page at
http://jcse.kiise.org <http://jcse.kiise.org/>  for the subareas.

The journal publishes regularly submitted papers, invited papers, selected
best papers from reputable conferences and workshops, and thematic issues
that address hot research topics. Potential authors are invited to submit
their manuscripts electronically, prepared in PDF files, through
<http://mc.manuscriptcentral.com/jcse> http://mc.manuscriptcentral.com/jcse,
where ScholarOne is used for on-line submission and review. Authors are
especially encouraged to submit papers of around 10 but not more than 30
double-spaced pages in twelve point type. The corresponding author's full
postal and e-mail addresses, telephone and FAX numbers as well as current
affiliation information must be given on the manuscript. Further inquiries
are welcome at JCSE Editorial Office,  <mailto:office at kiise.org>
office at kiise.org (phone: +82-2-588-9240; FAX: +82-2-521-1352).