nach oben

2017 | Buch

Kapitel lesen Erstes Kapitel lesen

Advanced Computing and Systems for Security

Volume Four

herausgegeben von: Rituparna Chaki, Khalid Saeed, Agostino Cortesi, Nabendu Chaki

Verlag: Springer Singapore

Buchreihe : Advances in Intelligent Systems and Computing

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

Einloggen, um Zugang zu erhalten

Über dieses Buch

This book presents extended versions of papers originally presented and discussed at the 3rd International Doctoral Symposium on Applied Computation and Security Systems (ACSS 2016) held from August 12 to 14, 2016 in Kolkata, India. The symposium was jointly organized by the AGH University of Science & Technology, Cracow, Poland; Ca’ Foscari University, Venice, Italy; and the
University of Calcutta, India.

The book is divided into two volumes, Volumes 3 and 4, and presents dissertation works in the areas of Image Processing, Biometrics-based Authentication, Soft Computing, Data Mining, Next-Generation Networking and Network Security, Remote Healthcare, Communications, Embedded Systems, Software Engineering and Service Engineering. The first two volumes of the book published the works presented at the ACSS 2015, which was held from May 23 to 25, 2015 in Kolkata, India.

Inhaltsverzeichnis

Frontmatter

Cloud and Service Management

Frontmatter

A Review on Energy Efficient Resource Management Strategies for Cloud

Abstract

Green computing has acquired significant amount of importance in the present research scenario as with mammoth advancements in the field of Information and Communications Technology (ICT), energy consumption has increased manifold over the last decade. With development in services provided by cloud providers, a large amount of energy is being consumed by the cloud data centers distributed all over the world. These data centers have a major contribution to the carbon footprints that is being generated, which in turn is detrimental for the environment. This paper studies the current researches that are being conducted to build energy efficient cloud networks and explores strategies that can be adopted to reduce the energy consumption of cloud data centers, thus opening new avenues towards building a ‘green’ cloud network.

Srimoyee Bhattacherjee, Sunirmal Khatua, Sarbani Roy

Modeling and Analysis of Enterprise Cloud Bus Using a Petri Net Based Approach

Abstract

Agent based Cloud computing technology has become a predominant domain nowadays due to rapid increase in enterprise service applications that are built from various services offered by different cloud service providers. In our previous work, we have proposed an abstraction layer of SaaS architecture for Inter-cloud environment, called Enterprise Cloud Bus System (ECBS) and modeled it using Unified Modeling Language (UML). In this work, we have proposed a conceptual architecture of Multi-agent based Enterprise Cloud Bus System (ECBS) and modelled its dynamics using Petri Net (ECBP) based approach. The proposed approach will be beneficial for analyzing low level Petri Nets of any cloud based models and has the advantage of being able to model dynamic facets of the Multi-agent based cloud system that can handle multiple agent operations and its execution logics. Further, the proposed ECBP model is capable to analyze the behavioral facets of Enterprise Cloud Bus System like, fairness, boundedness, liveliness, safeness, etc. in a dead lock—free environment.

Gitosree Khan, Sabnam Sengupta, Anirban Sarkar

Service Provisioning in Cloud: A Systematic Survey

Abstract

Cloud Computing is all about delivering services over the Internet. It has some technical, business and economical aspects. The complexity of service provisioning has increased significantly with the increasing number of cloud services and their providers. This creates a complex situation and as a result the service provisioning techniques face hurdles. The challenge of service provisioning is to properly offer services by adjusting the complexities efficiently. There are significant works to solve the problem in different manners. But still there are some gaps that are to be noticed and bridged for future advancement of cloud technology research. In this paper an attempt has been made for analyzing the service provisioning techniques from different perspectives. The said perspectives are various techniques and methodologies, QoS parameter considered, context awareness, etc. Moreover, the role of a broker in this context is also addressed. The overall motivation is to identify the open challenges, that may provide a future research direction in context of service provisioning.

Adrija Bhattacharya, Sankhayan Choudhury

High Performance Computing

Frontmatter

Flexible Neural Trees—Parallel Learning on HPC

Abstract

The purpose of this research is to develop effective parallel Flexible Neural Tree learning algorithm based on Message Passing Interface at High Performance Computing environment. The implemented framework utilizes two bio-inspired evolutionary algorithms that were parallelized. Genetic algorithm is used to develop structure of FNT and differential evolution for fine tunning of the parameters. Framework was tested for its correctness and scalability on Anselm cluster. Scalability experiments prove good performance results.

Jiří Hanzelka, Jiří Dvorský

Software Energy Estimation to Improve Power Efficiency of Embedded System

Abstract

Energy can be optimized for constrained-budget embedded system by using energy-aware processors and by techniques to minimize energy complexity in software coding. With sophisticated processor already in use, the latter is becoming the order of the day. For example, in Windows 8, a Battery Life Analyzer assists developers write energy-aware applications. In this paper, we focus on software energy optimization using simulation. We first develop a custom 8051 board to measure the energy consumed by a program (coded with a fixed set of instructions) excluding any additional overhead (of OS or monitor codes). We then estimate and trace the energy consumption of a software on this board and validate with an EFM32 Board. Based on these experimental data, we analyze different algorithms and data structures to identify factors to effectively improve energy consumption. Finally, we develop a simulator for energy estimation using PIN, a dynamic instrumentation framework by Intel. We validate the results of the simulator against those of the boards to suggest a simulation-based approach that can be developed into active assistance in a compiler for keeping software developers abreast of the energy needs.

Nachiketa Chatterjee, Saakallya Biswas, Partha Pratim Das

Image Processing

Frontmatter

Ternary Quantum Circuit for Color Image Representation

Abstract

Image representation in a multilevel quantum system is always an important issue now a day. This paper initially proposes two approaches which help to represent color images in a ternary quantum system based on the modified concept of famous FRQI model and normalized amplitude based quantum representation model. But these approaches are complicated and have several drawbacks. Finally, a simple and a new model of color image representation and storage in a ternary (3-levels) quantum system is presented in this paper. This model deals with a set of quantum states for M different color levels and another set of quantum states for P different position coordinates. In this paper, various gray levels of a color image and their corresponding positions are stored in a \(3^n\) color quantum register. For sake of simplicity this proposed method is carried out on 3 \(\times \) 3 pixels of color image example and the model is built by using basic ternary gates. A basic measurement of a pixel in a quantum image is also presented in this paper. Comparisons among these three quantum image representation approaches are also discussed at the last section of this paper.

Sanjay Chakraborty, Sudhindu Bikash Mandal, Soharab Hossain Shaikh, Lopamudra Dey

A Graph-Theoretic Approach for Visualization of Data Set Feature Association

Abstract

A graph-theoretic approach is presented in this paper to visually represent feature association in data sets. This visual representation of feature association, which has been named as Feature Association Map (FAM), is based on similarity between features measured using pair-wise Pearson’s product moment correlation coefficient. Highly similar features will appear as clusters in the graph visualization. Data sets with high number of features as part of feature clusters will indicate the possibility of strong feature association. The efficacy of this method has been demonstrated in ten publicly available data sets. FAM can be applied effectively in the area of feature selection.

Amit Kumar Das, Saptarsi Goswami, Basabi Chakraborty, Amlan Chakrabarti

A Novel Approach for Human Silhouette Extraction from Video Data

Abstract

In this paper we propose a method for efficient extraction of human silhouette from video sequences. The proposed approach includes background elimination, edge detection, region filling and noise removal using morphological operations to estimate the silhouette of an image. To the best of our knowledge our proposed approach for silhouette extraction involving background elimination and edge detection is first of its kind. We have applied our proposed technique on Weizmann (standard) dataset and compared the results with the most recent related research work. The comparison results in terms of statistical measures like precision, recall and F-measure clearly show the supremacy of our method and thus justify its novelty.

Amlan Raychaudhuri, Satyabrata Maity, Amlan Chakrabarti, Debotosh Bhattacharjee

Pattern Recognition

Frontmatter

Statistical Textural Features for Text-Line Level Handwritten Indic Script Identification

Abstract

As India is a multilingual country, hence, a variety of scripts are used here to write different languages. However, it becomes essential to recognize a particular script before the selection of an appropriate Optical Character Recognition (OCR) system. The research in this field is comparatively less explored and further research is required, particularly in the field of handwritten documents. This paper presents a robust script identification technique for 11 official handwritten Indic scripts namely, Bangla, Devanagari, Gujarati, Gurumukhi, Kannada, Malayalam, Manipuri, Oriya, Tamil, Telugu, Urdu along with Roman script. The recognition is performed at text-line level by using statistical textural features called Neighborhood Gray-Tone Difference Matrix along with Gray-level Run Length Matrix. The proposed method is experimented on a total dataset of 2400 handwritten text-lines of various scripts and yielded an identification rate of 97.69% using Multi Layer Perceptron (MLP) classifier.

Pawan Kumar Singh, Ram Sarkar, Mita Nasipuri

An Approach to Stroke-Based Online Handwritten Bangla Character Recognition

Abstract

This paper deals with stroke-based online Bangla character recognition strategy. In the present work, constituent strokes have been extracted from characters and then popularly used distance based features have been estimated in order to recognize the basic strokes. Next, a rule-based approach is followed for the recognition of the characters from the previously recognized strokes. A total of 15,000 isolated online handwritten Bangla characters contributing 32,534 stroke samples have been used in this experiment, and a satisfactory result of 89.39% recognition accuracy has been achieved.

Shibaprasad Sen, Ram Sarkar, Kaushik Roy

Functional Group Prediction of Un-annotated Protein by Exploiting Its Neighborhood Analysis in Saccharomyces Cerevisiae Protein Interaction Network

Abstract

Identification of unknown protein function is important in biological field based on the fact that proteins are responsible for some vital diseases whose drug is still yet to be discovered. Protein interaction network serves a crucial role in protein function prediction among all the other existed methodologies. Motivated by this fact different neighborhood approaches are proposed by exploiting the various indispensable neighborhood properties of protein interaction network which has added an extra dimension to this field of study.

Sovan Saha, Piyali Chatterjee, Subhadip Basu, Mita Nasipuri

Backmatter

Titel: Advanced Computing and Systems for Security
herausgegeben von: Rituparna Chaki
Khalid Saeed
Agostino Cortesi
Nabendu Chaki
Verlag: Springer Singapore
Electronic ISBN: 978-981-10-3391-9
Print ISBN: 978-981-10-3390-2
DOI: https://doi.org/10.1007/978-981-10-3391-9