[AISWorld] Newly published papers of JCSE (Sept. 2014)

Mon Sep 29 20:48:53 EDT 2014

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 8, Number 3, September 2014

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. 8, no. 3, September 2014

[Paper One]

- Title: Circuit Modelling and Eigenfrequency Analysis of a Poly-Si Based
RF MEMS Switch Designed and Modelled for IEEE 802.11ad Protocol

- Authors: Tejinder Singh, Farzaneh Pashaie

- Keyword: RF MEMS; Equivalent circuit modelling; Eigenfrequency analysis;
Capacitive switch; Millimeter wave frequencies  

- Abstract

This paper presents the equivalent circuit modelling and eigenfrequency
analysis of a wideband robust capacitive radio frequency (RF)
microelectromechanical system (MEMS) switch that was designed using Poly-Si
and Au layer membrane for highly reliable switching operation. The circuit
characterization includes the extraction of resistance, inductance, on and
off state capacitance, and Q-factor. The first six eigenfrequencies are
analyzed using a finite element modeler, and the equivalent modes are
demonstrated. The switch is optimized for millimeter wave frequencies,
which indicate excellent RF performance with isolation of more than 55 dB
and a low insertion loss of 0.1 dB in the V-band. The designed switch
actuates at 13.2 V. The R, L, C and Q-factor are simulated using Y-matrix
data over a frequency sweep of 20?100 GHz. The proposed switch has various
applications in satellite communication networks and can also be used for
devices that will incorporate the upcoming IEEE Wi-Fi 802.11ad protocol.

To obtain a copy of the entire article, click on the link below.
JCSE, vol. 8, no. 3, pp.129-136
<http://jcse.kiise.org/PublishedPaper/year_abstract.asp?idx=213&page_url=Cur
rent_Issues> 

[Paper Two]

- Title: Classifying Articles in Chinese Wikipedia with Fine-Grained Named
Entity

- Authors: Jie Zhou, Bicheng Li, and Yongwang Tang

- Keyword: Named entity classification; Chinese Wikipedia; Fine-grained;
Feature selection; NER corpora

- Abstract

Named entity classification of Wikipedia articles is a fundamental research
area that can be used to automatically build large-scale corpora of named
entity recognition or to support other entity processing, such as entity
linking, as auxiliary tasks. This paper describes a method of classifying
named entities in Chinese Wikipedia with fine-grained types. We considered
multi-faceted information in Chinese Wikipedia to construct four feature
sets, designed different feature selection methods for each feature, and
fused different features with a vector space using different strategies.
Experimental results show that the explored feature sets and their
combination can effectively improve the performance of named entity
classification.

To obtain a copy of the entire article, click on the link below.
JCSE, vol. 8, no. 3, pp.137-148
<http://jcse.kiise.org/PublishedPaper/year_abstract.asp?idx=214&page_url=Cur
rent_Issues> 

[Paper Three]

- Title: Stroke Width Based Skeletonization for Text Images

- Authors: Minh Hieu Nguyen, Soo-Hyung Kim, Hyung Jeong Yang, and Guee Sang
Lee

- Keyword: Skeletonization; Stroke width; Tensor voting; Text image

- Abstract

Skeletonization is a morphological operation that transforms an original
object into a subset, which is called a ‘skeleton’. Skeletonization has
been intensively studied for decades and is a challenging issue especially
for special target objects. This paper proposes a novel approach to the
skeletonization of text images based on stroke width detection. First, the
preliminary skeleton is detected by using a Canny edge detector with a
Tensor Voting framework. Second, the preliminary skeleton is smoothed, and
junction points are connected by interpolation compensation. Experimental
results show the validity of the proposed approach.

To obtain a copy of the entire article, click on the link below.
JCSE, vol. 8, no. 3, pp.149-156
<http://jcse.kiise.org/PublishedPaper/year_abstract.asp?idx=215&page_url=Cur
rent_Issues> 

[Paper Four]

- Title: Page Replacement for Write References in NAND Flash Based Virtual
Memory Systems

- Authors: Hyejeong Lee, Hyokyung Bahn, and Kang G. Shin

- Keyword: Memory; Secondary storage; Storage hierarchies; Swapping;
Virtual memory; Flash memory

- Abstract

Contemporary embedded systems often use NAND flash memory instead of hard
disks as their swap space of virtual memory. Since the read/write
characteristics of NAND flash memory are very different from those of hard
disks, an efficient page replacement algorithm is needed for this
environment. Our analysis shows that temporal locality is dominant in
virtual memory references but that is not the case for write references,
when the read and write references are monitored separately. Based on this
observation, we present a new page replacement algorithm that uses
different strategies for read and write operations in predicting the re-
reference likelihood of pages. For read operations, only temporal locality
is used; but for write operations, both write frequency and temporal
locality are used. The algorithm logically partitions the memory space into
read and write areas to keep track of their reference patterns precisely,
and then dynamically adjusts their size based on their reference patterns
and I/O costs. Without requiring any external parameter to tune, the
proposed algorithm outperforms CLOCK, CAR, and CFLRU by 20%-66%. It also
supports optimized implementations for virtual memory systems.

To obtain a copy of the entire article, click on the link below.
JCSE, vol. 8, no. 3, pp.157-172
<http://jcse.kiise.org/PublishedPaper/year_abstract.asp?idx=216&page_url=Cur
rent_Issues> 

[Paper Five]

- Title: A Direction Entropy-Based Forwarding Scheme in an Opportunistic
Network

- Authors: MinSeok Jeon, Sun-Kyum Kim, Ji-Hyeun Yoon, JunYeop Lee, Sung-
Bong Yang

- Keyword: Opportunistic networks; Information entropy; Direction;
Forwarding

- Abstract

In an opportunistic network, one of the most challenging issues is the
equilibrium of the network traffic and transmission delay for forwarding
messages. To resolve this problem, we propose a new forwarding scheme,
called the direction entropy-based forwarding scheme (DEFS), using the main
direction and direction entropy based on the information collected about
the directions of the nodes in the network. Since each node sends a message
to another node with a different location and less direction entropy, DEFS
utilizes those nodes that are more likely to travel to various locations to
forward the messages to the destination nodes. Experiments were performed
on the network simulator NS-2. The results show that DEFS provides better
balance than the typical forwarding schemes, such as Epidemic, PRoPHET, and
WAIT.

To obtain a copy of the entire article, click on the link below.
JCSE, vol. 8, no. 3, pp.173-179
<http://jcse.kiise.org/PublishedPaper/year_abstract.asp?idx=217&page_url=Cur
rent_Issues> 

[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 inquires 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).

=====================================

 So-Ra Choi (Ms.)           * E-mail :  <mailto:srchoi at kiise.org>
srchoi at kiise.org

* Tel : +82-2-588-9240        * Fax : +82-2-521-1352

[KIISE JCSE Editorial Office]      <http://jcse.kiise.org/>
http://jcse.kiise.org

[Korean Institute of Information Scientists and Engineers]

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