International Journal on Information Theory (IJIT) (original) (raw)

Papers by International Journal on Information Theory (IJIT)

Recently, contourlet transform has been widely used in hyperspectral image fusion due to its adva... more Recently, contourlet transform has been widely used in hyperspectral image fusion due to its advantages, such as high directionality and anisotropy; and studies show that the contourlet-based fusion methods perform better than the existing conventional methods including wavelet-based fusion methods. Few studies have been done to comparatively analyze the performance of contourlet-based fusion methods;
furthermore, no research has been done to analyze the contourlet-based fusion methods by focusing on their unique transform mechanisms. In addition, no research has focused on the original contourlet transform and its upgraded versions. In this paper, we investigate three different kinds of contourlet
transform: i) original contourlet transform, ii) nonsubsampled contourlet transform, iii) contourlet transform with sharp frequency localization. The latter two transforms were developed to overcome the major drawbacks of the original contourlet transform; so it is necessary and beneficial to see how they perform in the context of hyperspectral image fusion. The results of our comparative analysis show that the latter two transforms perform better than the original contourlet transform in terms of increasing spatial resolution and preserving spectral information

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This paper presents a lower and upper bound for linear codes which are capable of correcting erro... more This paper presents a lower and upper bound for linear codes which are capable of correcting errors in the form of solid burst of different lengths within different sub blocks. An illustration of such kind of codes has also been provided

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International Journal on Information Theory (IJIT) http://airccse.org/journal/ijit/index.html ... more International Journal on Information Theory
(IJIT)

http://airccse.org/journal/ijit/index.html

ISSN: 2319 - 7609 (Online); 2320 - 8465 (Print)

Call for papers:-

International Journal on Information Theory (IJIT) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Information Theory. Authors are solicited to contribute to the journals by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Information Theory and applications. Topics of interest include, but are not limited to, the following

The topics suggested by this journal can be discussed in term of concepts, surveys, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to

Shannon theory, coding theory and techniques
Coded Modulation, data compression, sequences
Signal processing, Speech/Image Coding
Detection and estimation of Mobile communications
Pattern recognition and Learning
Learning and inference
Communications and communication networks
Optical Communications Complexity and cryptography
Multi-User Information Theory
Quantum theory and coding
Emerging applications of information theory

Paper Submission

Authors are invited to submit papers for this journal through E-mail: ijitjournal@yahoo.com or ijitjournal@airccse.org. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.

Important Dates

Submission Deadline : August 28, 2015
Acceptance Notification : September 20, 2015
Final Manuscript Due : October 05, 2015
Publication Date : Determined by the Editor-in-Chief

For other details please visit http://airccse.org/journal/ijit/index.html

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Fourth International Conference on Control, Modelling, Computing and Applications (CMCA 2015) Dec... more Fourth International Conference on Control, Modelling, Computing and Applications (CMCA 2015)
December 19 ~ 20,2015 Vienna, Austria
http://ccseit.org/2015/cmca/index.html
Call for Papers
Fourth International Conference on Control, Modelling, Computing and Applications (CMCA 2015) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Control Engineering, Modelling, Computing and Applications. The goal of this Conference is to bring together researchers and practitioners from academia and industry to focus on understanding Modern Control Engineering, Modelling and Computing concepts and establishing new collaborations in these areas.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of control engineering, modelling, computing & applications.
Topics of interest include but are not limited to, the following
• Adaptive control
• Applications of modelling in science and engineering
• Automation systems
• Computer controlled systems
• Computer vision
• Computational science
• Control devices and instruments
• Control theory
• Data mining
• Design system and algorithms
• Embedded systems
• Fault detection and isolation
• Flight control and surveillance systems
• Genetic algorithms and evolutionary computing
• Guidance control systems
• Industry, military and space applications
• Information systems
• Intelligent control systems • Linear and nonlinear control systems
• Mathematical modelling and control
• Measurement systems
• Multimedia systems
• Networks and communication
• Neural networks and fuzzy logic
• Optimization and optimal control
• Process control and instrumentation
• Robotics
• Robust control
• Scientific computing
• Signal and image processing
• Simulation techniques
• Soft computing techniques
• Stochastic control and filtering
• Systems and automation
• System identification and control
Paper submission
Authors are invited to submit papers through the conference Submission system by August 30, 2015. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Proceedings in Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from CMCA 2015, after further revisions, will be published in the special issue of the following journals.
• International Journal of Instrumentation and Control Systems (IJICS)
• International Journal of Control Theory and Computer Modelling (IJCTCM)
• International Journal of Information Technology, Control and Automation (IJITCA)
• International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)
• International Journal of Information Technology, Modeling and Computing (IJITMC)
Important Dates
• Submission Deadline : August 30, 2015
• Notification : September 30, 2015
• Final manuscript due : October 10, 2015

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This paper presents a step up DC-to-DC converter with hybrid switch capacitor technique having hi... more This paper presents a step up DC-to-DC converter with hybrid switch capacitor technique having high voltage conversion ratio with small switch voltage stress . The converter is suitable for the applications where high voltage conversion is required. The proposed DC-DC converter has low voltage ratted MOSFET switch and is connected to PV array to get high output voltage at small duty ratios. Hence it has high efficiency. The principles of operations and the theoretical analysis are presented in this paper. All the simulations are done in MATLAB- SIMULINK Environment and results were obtained with voltage conversion ratio of 4.9.

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The central theme of this article is that the usual Shannon’s entropy [1] is not sufficient to ad... more The central theme of this article is that the usual Shannon’s entropy [1] is not sufficient to address the unknown Gaussian population average. A remedy is necessary. By peeling away entropy junkies, a refined version is introduced and it is named nucleus entropy in this article. Statistical properties and advantages of the Gaussian nucleus entropy are derived and utilized to interpret 2005 and 2007 waste disposals (in 1,000 tons) by fifty-one states (including the District of Columbia) in USA. Each state generates its own, imports from a state for a revenue, and exports to another state with a payment waste disposal [2]. Nucleus entropy is large when the population average is large and/or when the population variance is lesser. Nucleus entropy advocates the significance of the waste policies under four scenarios: (1) keep only generated, (2) keep generated with receiving in and shipping out, (3) without receiving in, and (4) without shipping out. In the end, a few recommendations are suggested for the waste management policy makers

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Grid computing can involve lot of computational tasks which requires trustworthy computational no... more Grid computing can involve lot of computational tasks which requires trustworthy computational nodes. Load balancing in grid computing is a technique which overall optimizes the whole process of assigning computational tasks to processing nodes. Grid computing is a form of distributed computing but different from conventional distributed computing in a manner that it tends to be heterogeneous, more loosely coupled and dispersed geographically. Optimization of this process must contains the overall maximization of resources utilization with balance load on each processing unit and also by decreasing the overall time or output. Evolutionary algorithms like genetic algorithms have studied so far for the implementation of load balancing across the grid networks. But problem with these genetic algorithm is that they are quite slow in cases where large number of tasks needs to be processed. In this paper we give a novel approach of parallel genetic algorithms for enhancing the overall performance and optimization of managing the whole process of load balancing across the grid nodes.

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Part of Speech Tagging automatically tags the word of a text by labels that can be used to ... more Part of Speech Tagging automatically tags the word of a text by labels that can be used to determine the structure of sentence. In this paper we propose an approach to the problem that is inspired from human behavior. We used a combination of rule based and dictionary based approach to tackle this problem. Our goal in this paper is to design a simple yet effective system to POS tagging that also helps us in more effective understanding of human behavior.

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In this paper, new results have been obtained via sliding mode control for the hybrid chaos synch... more In this paper, new results have been obtained via sliding mode control for the hybrid chaos synchronization
of identical hyperchaotic Xu systems (Xu, Cai and Zheng, 2009). In hybrid synchronization of master and
slave systems, the odd states are completely synchronized, while the even states are anti-synchronized. The
stability results derived in this paper for the hybrid synchronization of identical hyperchaotic Xu systems
are established using Lyapunov stability theory. MATLAB simulations have been shown for the numerical
results to illustrate the hybrid synchronization schemes derived for the identical hyperchaotic Xu systems.

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The various up-sampling techniques available in the literature produce blurring artifacts in the ... more The various up-sampling techniques available in the literature produce blurring artifacts in the upsampled,
high resolution images. In order to overcome this problem effectively, an image fusion based
interpolation technique is proposed here to restore the high frequency information. The Discrete Cosine
Transform interpolation technique preserves low frequency information whereas Discrete Sine Transform
preserves high frequency information. Therefore, by fusing the DCT and DST based up-sampled images,
more high frequency, relevant information of both the up-sampled images can be preserved in the restored,
fused image. The restoration of high frequency information lessens the degree of blurring in the fused
image and hence improves its objective and subjective quality. Experimental result shows the proposed
method achieves a Peak Signal to Noise Ratio (PSNR) improvement up to 0.9947dB than DCT
interpolation and 2.8186dB than bicubic interpolation at 4:1 compression ratio.

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Information inequalities are very useful and play a fundamental role in the literature of Informa... more Information inequalities are very useful and play a fundamental role in the literature of Information
Theory. Applications of information inequalities have discussed by well-known authors like as Dragomir,
Taneja and many researchers etc. In this research paper, we shall consider some new functional
information inequalities in the form of generalized information divergence measures. We shall also
consider relations between Csiszar’s f-divergence, new f-divergence and other well-known divergence
measures using information inequalities. Numerical bounds of information divergence measure have also
studied.

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This paper presents a step up DC-to-DC converter with hybrid switch capacitor technique having hi... more This paper presents a step up DC-to-DC converter with hybrid switch capacitor technique having high
voltage conversion ratio with small switch voltage stress . The converter is suitable for the applications
where high voltage conversion is required. The proposed DC-DC converter has low voltage ratted
MOSFET switch and is connected to PV array to get high output voltage at small duty ratios. Hence it has
high efficiency. The principles of operations and the theoretical analysis are presented in this paper. All the
simulations are done in MATLAB- SIMULINK Environment and results were obtained with voltage
conversion ratio of 4.9.

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In wireless sensor networks (WSNs), sensor nodes have stringent energy and computation requiremen... more In wireless sensor networks (WSNs), sensor nodes have stringent energy and computation requirements.
Since they are left unattended, an adversary can generate false report attacks through compromised nodes.
This would result in an increased number of verifications to filter these reports, causing waste of scarce
energy resources. In this paper, we propose energy-efficient path configuration method for dynamic enroute
filtering (EDEF), which uses fuzzy logic to select the forwarding node(s). In order to cater to
compromised nodes and to detect and filter the false reports, we create alternative paths. Our proposed
method selects forwarding nodes based on the key content of neighbor nodes, the number of neighbor
nodes, and the residual energy. Auth-keys are distributed randomly from the global key pool. Simulation
results demonstrate the effectiveness of our proposed method with up to 8.2% energy efficiency as
compared to the dynamic en-route filtering (DEF) scheme.

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The central theme of this article is that the usual Shannon’s entropy [1] is not sufficient to ad... more The central theme of this article is that the usual Shannon’s entropy [1] is not sufficient to address the
unknown Gaussian population average. A remedy is necessary. By peeling away entropy junkies, a refined
version is introduced and it is named nucleus entropy in this article. Statistical properties and advantages
of the Gaussian nucleus entropy are derived and utilized to interpret 2005 and 2007 waste disposals (in
1,000 tons) by fifty-one states (including the District of Columbia) in USA. Each state generates its own,
imports from a state for a revenue, and exports to another state with a payment waste disposal [2]. Nucleus
entropy is large when the population average is large and/or when the population variance is lesser.
Nucleus entropy advocates the significance of the waste policies under four scenarios: (1) keep only
generated, (2) keep generated with receiving in and shipping out, (3) without receiving in, and (4) without
shipping out. In the end, a few recommendations are suggested for the waste management policy makers.

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This paper proposes a technique to compress any data irrespective of it’s type. Compressing rando... more This paper proposes a technique to compress any data irrespective of it’s type. Compressing random data
especially has always proved to be a difficult task. With very less patterns and logic within the data it
quickly reaches a point where no more data can be represented within a given number of bits. The
proposed technique will allow us to compress irrespective of it’s pattern or logic within, and represent it.
Further it will permit the technique to be again applied to the already compressed data without having any
change in the possible compression ratio. While data can’t be compressed further than a limit the
technique will rely on representing the data as a position in any computationally easy number series that
extends to infinity provided it have high enough deviation among it’s digits. Only few markers that are
linked to the position is saved, rather than representing the original data. The system then use these
markers to guess the position and derive the data from it. The procedure is however, computationally
intensive and as of now can raise questions of data corruption but with more computing power, efficient
algorithm and proper data integrity checks it will be able to provide very high compression ratios in the
future

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There are several data compression Techniques available which are used for Efficient transmission... more There are several data compression Techniques available which are used for Efficient transmission and
storage of the data With less memory space. In this paper, we have Proposed a two stage data compression
Algorithm that is OLZWH which uses the Optimality of Lempel- Ziv-Welch (OLZW) and Adaptive Huffman
Coding. With this proposed Algorithm, the data Compression ratios are Compared with existing
Compression Algorithm for different data sizes.

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There is a need of optimal data to query processing technique to handle the increasing database s... more There is a need of optimal data to query processing technique to handle the increasing database size,
complexity, diversity of use. With the introduction of commercial website, social network, expectations are
that the high scalability, more flexible database will replace the RDBMS. Complex application and Big
Table require highly optimized queries. Users are facing the increasing bottlenecks in their data analysis. A
growing part of the database community recognizes the need for significant and fundamental changes to
database design. A new philosophy for creating database systems called noDB aims at minimizing the datato-
query time, most prominently by removing the need to load data before launching queries. That will
process queries without any data preparation or loading steps. There may not need to store data. User can
pipe raw data from websites, DBs, excel sheets into two promise sample inputs without storing anything.
This study is based on PostgreSQL systems. A series of the baseline experiment are executed to evaluate the
Performance of this system as per -a. Data loading cost, b-Query processing timing, c-Avoidance of
Collision and Deadlock, d-Enabling the Big data storage and e-Optimize query processing etc. The study
found significant possible capabilities of noDB system over the traditional database management system.

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In computer science, 'evolutionary computation' is an algorithmic tool based on evolution. It imp... more In computer science, 'evolutionary computation' is an algorithmic tool based on evolution. It implements
random variation, reproduction and selection by altering and moving data within a computer. It helps in
building, applying and studying algorithms based on the Darwinian principles of natural selection. In this
paper, studies about different evolutionary computation techniques used in some applications specifically
image processing, cloud computing and grid computing is carried out briefly. This work is an effort to help
researchers from different fields to have knowledge on the techniques of evolutionary computation
applicable in the above mentioned areas.

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Real-time facial expression analysis is an important yet challenging task in human computer inter... more Real-time facial expression analysis is an important yet challenging task in human computer interaction.
This paper proposes a real-time person independent facial expression recognition system using a
geometrical feature-based approach. The face geometry is extracted using the modified active shape
model. Each part of the face geometry is effectively represented by the Census Transformation (CT) based
feature histogram. The facial expression is classified by the SVM classifier with exponential chi-square
weighted merging kernel. The proposed method was evaluated on the JAFFE database and in real-world
environment. The experimental results show that the approach yields a high recognition rate and is
applicable in real-time facial expression analysis.

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International Journal on Information Theory (IJIT) http://airccse.org/journal/ijit/index.html ... more International Journal on Information Theory
(IJIT)

http://airccse.org/journal/ijit/index.html

ISSN: 2319 - 7609 (Online); 2320 - 8465 (Print)

Call for papers:-

Paper Submission

Important Dates

Submission Deadline : August 28, 2015
Acceptance Notification : September 20, 2015
Final Manuscript Due : October 05, 2015
Publication Date : Determined by the Editor-in-Chief

For other details please visit http://airccse.org/journal/ijit/index.html

Bookmarks Related papers MentionsView impact

This paper presents a step up DC-to-DC converter with hybrid switch capacitor technique having hi... more This paper presents a step up DC-to-DC converter with hybrid switch capacitor technique having high
voltage conversion ratio with small switch voltage stress . The converter is suitable for the applications
where high voltage conversion is required. The proposed DC-DC converter has low voltage ratted
MOSFET switch and is connected to PV array to get high output voltage at small duty ratios. Hence it has
high efficiency. The principles of operations and the theoretical analysis are presented in this paper. All the
simulations are done in MATLAB- SIMULINK Environment and results were obtained with voltage
conversion ratio of 4.9.

Bookmarks Related papers MentionsView impact

The central theme of this article is that the usual Shannon’s entropy [1] is not sufficient to ad... more The central theme of this article is that the usual Shannon’s entropy [1] is not sufficient to address the
unknown Gaussian population average. A remedy is necessary. By peeling away entropy junkies, a refined
version is introduced and it is named nucleus entropy in this article. Statistical properties and advantages
of the Gaussian nucleus entropy are derived and utilized to interpret 2005 and 2007 waste disposals (in
1,000 tons) by fifty-one states (including the District of Columbia) in USA. Each state generates its own,
imports from a state for a revenue, and exports to another state with a payment waste disposal [2]. Nucleus
entropy is large when the population average is large and/or when the population variance is lesser.
Nucleus entropy advocates the significance of the waste policies under four scenarios: (1) keep only
generated, (2) keep generated with receiving in and shipping out, (3) without receiving in, and (4) without
shipping out. In the end, a few recommendations are suggested for the waste management policy makers.

Bookmarks Related papers MentionsView impact