Informatica 40 (2016) 157–158 157 
Editors' Introduction to the Special Issue on  
‟The Sixth International Symposium on Information and 
Communication Technology – SoICT 2015”
Editors' Introduction to the Special Issue on the Sixth 
International Symposium on Information and 
Communication Technology (SoICT 2015, Hue City, 
Vietnam) 
This Special consists of a selection of the best papers 
from the 6th International Symposium on Information and 
Communication Technology - SoICT 2015. Since 2010, 
SoICT has been organised annually. The symposium 
provided an academic forum for researchers to share their 
latest research findings and to identify future challenges in 
computer science. In 2015, SoICT was held in Hue Royal 
city, Vietnam, during December 3-4th, 2015.  SoICT 2015 
was an international symposium that covered four major 
areas of research including Artificial Intelligence and Big 
Data, Network and Security, Human-Computer 
Interaction, Software Engineering and Applied 
Computing. 
In 122 submissions from 18 countries, 49 papers were 
accepted for presentation at SoICT’2015. Among them, 4 
papers were carefully selected, after further extension and 
additional review, for inclusion in this Special Issue. 
The first paper by N.H.T. Dang, S. Dvoenko and S. 
Dinh “A Mixed Noise Removal Method Based on Total 
Variation” is about removing noise from biomedical 
images. The paper proposes a novel method to remove 
mixed noise using the idea of the total variation of an 
image intensity (brightness) function. 
The second paper by Q.V. Bui, K. Sayadi, M. Bui “A 
Multi-Criteria Document Clustering Method Based on 
Topic Modeling and Pseudoclosure Function” addresses 
the problem of document clustering. The paper proposes a 
novel unsupervised clustering method based on the 
structural analysis of the latent semantic space.  The 
authors perform a structural analysis on the latent 
semantic space using the Pretopology theory that allows 
them to investigate the role of the number of clusters and 
the chosen centroids, in the similarity between the 
computed clusters. Their method has been applied to and 
evaluated on Twitter data. 
The third paper by K.V. Nguyen, P.L. Nguyen, H. 
Phan is entitled “A Distributed Algorithm For Monitoring 
An Expanding Hole In Wireless Sensor Networks”. Holes 
in sensor networks are regions that have no operating 
nodes and may occur due to several reasons, including 
cases caused by natural obstacles or disaster suffered 
areas. Determining the location and shape of holes can 
help to make smart, early routing decisions for 
circumventing a hole. Many hole determination 
algorithms have proposed in the literature, however, they 
consider mainly networks with static holes i.e. with stable 
boundary nodes. Moreover, most of these are designed in 
a centralized manner, which is not suitable to the unstable 
situation of networks with an expanding hole. This paper 
proposes an algorithmic scheme not only for determining 
the initial shape but also for monitoring and quickly 
reporting about the area of a hole gradually expanding. 
The last paper by D.L.Truong, E. Ouro and T.C. 
Nguyen “Protected Elastic-tree topology for Survivable 
and Energy-efficient Data Center” starts from the 
observation that data centers currently consume too much 
energy.  
They propose to reduce energy consumption by 
turning off certain switches in data centers, and study the 
effect on the connectivity of the network and data center. 
They then propose to tailor the topology using a path 
protection method to ensure that all connections in the data 
center retain survivability upon any single failure.  
 
       
Luc De Raedt 
Yves Deville 
Marc Bui 
Dieu-Linh Truong