ISSN (Print): 2213-2759
ISSN (Online): 1874-4796
Volume 11, 4 Issues, 2018
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ISSN (Print): 2213-2759
ISSN (Online): 1874-4796
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Hamid Mcheick Computer Science Department University of Quebec at Chicoutimi Chicoutimi, Quebec Canada
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Special Issue Submission
32 Abstract Ahead of Print are available electronically
37 Articles Ahead of Print are available electronically
The new era of engineering is revolving around advance technology and there development. At the same time making these
technologies smart in terms of their sustainable development is a challenge. Due to this from last decade the development of
Smart Technologies in Engineering for communication is gaining a lot of interest in the research community. The main objective
of Smart Technologies in Engineering comprise a dynamic new interdisciplinary research field that encompasses a wide
spectrum of engineering applications including, but not limited to, intelligent structures and materials, actuators, sensors, control
systems and software tools for the design of adaptive structures.
The lead article in this special issue is titled as “An era of Micro Irrigation - A priority driven approach to enhance the optimum
utilization of Water and a way towards “intelligent farming”, by Santosh R. Durugkar et al. develop a priority-driven algorithm
based on the soil moisture values executes itself and find out the lowest one to start the irrigation to increase the moisture
at plant area. This system has additional advantages such as testing the quality of water utilization in terms of TDS, Conductivity
and pH of the water.
The second article entitled “Fast and Efficient Recovery of Root Node Failure in Spanning Tree Routing Protocol” by Vijay
Nunia et al. In this paper, the spanning tree routing protocol is introduced into the network, a storm is developed in the network,
thereby, blocking all the network traffic. The Spanning Tree Protocol (STP) was developed to prevent this broadcasting storm.
It builds a topology, or a map, in order to identify any loop occurring in the network. The paper finds the definitive solution for
the root failure problem in an algorithmic form.
GA-QMR: Genetic Algorithm oriented MANET QoS Multicast Routing by Sukhvinder Singh et al. the paper presents genetic
oriented QoS Multicast Routing (GA-QMR) algorithm. The routes are required to satisfy the end to end delay, jitter,
packet loss rate, packet success rate, bandwidth, etc. In the similar context, simulation experiments are performed for 8 mobile
nodes and compared with two well known algorithms to predict the proposed algorithm performance.
The last article is titled as “A Two Way Synchronized Quantum Channel Quantum Key Distribution Protocol” by Manish
Kalra, In this paper presents QKD protocol, which is a variation over two basic protocols i.e. BB84 and B92 and uses two-way
quantum channel instead of the one-way quantum channel and it uses the classical channel for reconciliation phase. This protocol
is synchronized in a manner that both parties who want to share key start communication at same point of time and also
given the design for proposed protocols and their comparison with basic protocols.
Big data, as a new ubiquitous term, is transforming science, engineering, medicine, healthcare, finance, business, and ultimately
society itself. Big Data has become an emerging paradigm for the practitioners and researchers to explore the value of
datasets whose size is beyond the ability of commonly used software tools. As such, big data management is spurring on tremendous
amounts of research and development of related technologies and applications.
This special issue is intended to foster the dissemination of recent advances in cloud computing and big data. It is including
the theory, architecture and utility, particularly related to the use of cloud computing technologies to deal with big data. We
invite the submissions of high quality papers describing future potentials or on-going work.
This special issue aims to foster the dissemination of state-of-the-art research in the area of recent advances in big data
management. This includes design, architecture and utility, particularly related to the use of big data processing technologies
and the presentation of future trends.
The issue comprises revised and substantially extended versions of selected papers presented at the 2016 Second International
Conference of Cloud Computing Technologies and Applications (CLOUDTECH’2016), but we have also strongly received
some papers out of this conference.
Editors received 15 submissions that were peer-reviewed by top experts in the field. Based on the reviews and our reading
of the papers, editors selected 4 high-quality ones to be published. The acceptance rate is 26.7%. Contributions of these papers
are summarized as follows.
In the first paper , the authors present a caching system using column access frequency strategy. It orginates from Patent
Publication Number CN103631972A. The caching process includes judging cache hit or miss, updating column access frequency,
and change data capture. The effect of this system increases the cache hit rate.
In the second paper , the authors present the analysis of parallel SVM based classification technique on healthcare. In the
current scenario, Cardio Vascular Disease is the major cause for human mortality across the world. This analysis is the hardcore
need in today’s medical research for prediction of Cardio Vascular Disease.
In the third paper , the authors present a global analysis of Cloud computing model that applies the Taguchi concept to
highlight the parameters which have the greatest impact on the system performance. The applied and the proposed ant colony
algorithm can improve the performance of the Cloud environment.
In the last paper , the authors propose a scheme, based on cipher-text policy attribute based encryption (CP-ABE). This
method is able to achieve the desired level of security while having a reduced computation overhead. The efficient revocation process
can achieve both forward and backward security while maintaining a low overhead on both the data owner and the users.
It is expected that this collection will contribute to advance knowledge in the evolving field of big data management.
The guest editors of this special issue wish to thank the referees for their valuable input, as well as the authors, who at all
times pursued the best quality. The authors hope that the readers will find this special issue useful in their research. Special
thanks to Professor Hamid Mcheick (Editor-in-chief of the Recent Patents on Computer Science) for his guidance.
The first editor Prof. Kun Ma acknowledges the support of the National Natural Science Foundation of China (61772231),
the Shandong Provincial Natural Science Foundation (ZR2017MF025), the Shandong Provincial Key R&D Program of China
(2015GGX106007 & 2018CXGC0706), the Project of Shandong Province Higher Educational Science and Technology Program
(J16LN13), the Science and Technology Program of University of Jinan (XKY1734 & XKY1828), and the Project of
Shandong Provincial Social Science Program (18CHLJ39).
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