Special Issue on Selected Papers from International Conference & Workshop On Emerging Trends In Technology 2012

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Paper 1: Time and Frequency Domain Analysis of the Linear Fractional-order Systems

Abstract: related to the use of Fractional-order (FO) differential equations in modeling and control. FO differential equations are found to provide a more realistic, faithful, and compact representations of many real world, natural and manmade systems. FO controllers, on the other hand, have been able to achieve a better closed-loop performance and robustness, than their integer-order counterparts. In this paper, we provide a systematic and rigorous time and frequency domain analysis of linear FO systems. Various concepts like stability, step response, frequency response are discussed in detail for a variety of linear FO systems. We also give the state space representations for these systems and comment on the controllability and observability. The exercise presented here conveys the fact that the time and frequency domain analysis of FO linear systems are very similar to that of the integer-order linear systems.

Author 1: Manisha M Bhole
Author 2: Mukesh D. Patil
Author 3: Vishwesh A. Vyawahare

Keywords: Fractional-order systems, fractional calculus, stability analysis.

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Paper 2: Color &Texture Based Image Retrieval using Fusion of Modified Block Truncation Coding (MBTC) and Kekre Transform Patterns

Abstract: Content Based Image Retrieval is an interesting topic of research. This paper is about image content-based image search. Specifically, it is on developing technologies for bridging the semantic gap that currently prevents wide-deployment of image content-based search engines. Mostly, content-based methods are based on low-level descriptions, while high-level or semantic descriptions are beyond current capabilities. In this paper a CBIR is proposed based on color & texture based search. Modified Block Truncation Coding (MBTC) is used for color information retrieval. To extract texture information we are using pattern generated by transforms, currently we are considering Kekre Transform. The feature vector is generated by fusion of above mentioned techniques.

Author 1: A R Sawant
Author 2: V A Bharadi
Author 3: Bijith Markarkandy

Keywords: Image retrieval, CBIR, MBTC, Kekre’s pattern.

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Paper 3: A Fair Queuing Technique for Efficient Content Delivery Over 3G and 4 G Networks in Varying Load Condition

Abstract: The challenges of new communication architecture are to offer better quality of service (QoS) in internet Network. A large diversity of services based on packet switching in 3G network and beyond 3G leads dramatic changes in the characteristics and parameter of data traffic. Deployment of application server and resource server has been proposed to support both high data rates and quality of service (QoS) for Next Generation Network (NGN).One important generalization of the Next Generation Network is, it’s a queue of network. It is expected that traffic in NGN will undergo both quantitative and qualitative changes. Such networks can model problems of contention that arise when a set of resources is shared. With the rapid transformation of the Internet into a commercial infrastructure, demands for service quality have rapidly developed. In this paper, few components of NGN reference architecture have been taken and system is evaluated in terms of queuing network. This paper gives a comparative analysis of three queuing systems FIFO, PQ and WFQ. Packet end to end delay, packet delay variation and traffic dropped are evaluated through simulation. Results have been evaluated for a light load intermediate load and heavy load condition for constant traffic distribution. Results have been also evaluated for variable bandwidth condition. Result shows WFQ has better quality comparing with other techniques in a voice based services where as PQ a technique is better in Video based services. Simulation is done using OPNET.

Author 1: B K Mishra
Author 2: S.K Singh
Author 3: Ruchi Shah

Keywords: QoS-Quality of service; NGN-Next Generation Network; FIFO- First-in-first-out; PQ- Priority queuing; WFQ- Weighted-Fair queuing; VoIP- Voice over Internet Protocol.

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Paper 4: Performance Modeling of Queuing Techniques for Enhance QoS Support for Uniform and Exponential VoIP & Video based Traffic Distribution

Abstract: In the near future there will be demand for seamless service across different types of network, so it’s a significant issue of how to guarantee the quality of service (QoS) and support a variety of services. One important generalization of the Next Generation Network is it’s a queue of network. It is expected that traffic in NGN will undergo both quantitative and qualitative changes. Such networks can model problems of contention that arise when a set of resources is shared. With the rapid transformation of the Internet into a commercial infrastructure, demands for service quality have rapidly developed. This paper gives a comparative analysis of three queuing systems FIFO, PQ and WFQ with different traffic distribution. Different traffic distribution includes constant, uniform and exponential traffic distribution. Packet end to end delay, traffic drop and packet delay variation is evaluated through simulation. Results have been evaluated for uniform and exponential traffic distribution. Result shows WFQ has better quality comparing with other techniques in a voice based services and having minimum traffic drop where as PQ techniques is better in Video based services. Simulation is done using OPNET.

Author 1: B K Mishra
Author 2: S.K Singh
Author 3: Kalpana patel

Keywords: QoS-Quality of service; NGN-Next Generation Network; FIFO- First-in-first-out; PQ- Priority queuing; WFQ- Weighted-Fair queuing; VoIP- Voice over Internet Protocol.

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Paper 5: Texture Feature Extraction For Biometric Authentication using Partitioned Complex Planes in Transform Domain

Abstract: Feature vector generation is an important step in biometric authentication. Biometric traits such as fingerprint, finger-knuckle prints, palmprint, and iris are rich in texture. This texture is unique and the feature vector extraction algorithm should correctly represent the texture pattern. In this paper a texture feature extraction methodology is proposed for these biometric traits. This method is based on one step transform of the two dimensional images and then using the intermediate transformation data to generate complex planes for feature vector generation. This method is implemented using Walsh, DCT, Hartley, Kekre Transform & Kekre Wavelets. Results indicate the effectiveness of the feature vector for biometric authentication.

Author 1: Vinayak Ashok Bharadi

Keywords: Biometrics; Transforms; DCT; FFT; Kekre Transform; Hartley Transform; Kekre Wavelets.

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Paper 6: A Comparative Study on Retrieved Images by Content Based Image Retrieval System based on Binary Tree, Color, Texture and Canny Edge Detection Approach

Abstract: Content based image retrieval (CBIR) is a technique in which images are indexed by extracting their low level features or high level features or both. This paper presents performance & comparative study of the result obtained by the two different approaches of CBIR system. The resultant retrieved images by the CBIR system is based on two approaches. Both approaches of the system using two major processes one as feature extraction and other as search and retrieval. The first approach is based on extracting the features using binary tree structure, color & texture and the second approach is based on extracting shape features using Canny Edge Detection. In both the approaches the feature vector of the query image is compared with the feature vector of the each image present in the database. In the first approach the images are retrieved and arranged according to their matching score or rank value and in the second approach retrieved images are arranged according to their mean and correlation values.

Author 1: Saroj A Shambharkar
Author 2: Shubhangi C. Tirpude

Keywords: Binary tree structure, Content Based Image Retrieval, canny edge detection, Mean, Correlation.

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Paper 7: EtranS- A Complete Framework for English To Sanskrit Machine Translation

Abstract: Machine Translation has been a topic of research from the past many years. Many methods and techniques have been proposed and developed. However, quality of translation has always been a matter of concern. In this paper, we outline a target language generation mechanism with the help of language English-Sanskrit language pair using rule based machine translation technique [1]. Rule Based Machine Translation provides high quality translation and requires in depth knowledge of the language apart from real world knowledge and the differences in cultural background and conceptual divisions. A string of English sentence can be translated into string of Sanskrit ones. The methodology for design and development is implemented in the form of software named as “EtranS”.

Author 1: Promila Bahadur
Author 2: A.K.Jain
Author 3: D.S.Chauhan

Keywords: Analysis, Machine translation, translation theory, Interlingua, language divergence, Sanskrit, natural language processing.

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Paper 8: Exploiting Communication Framework To Increase Usage Of SMIG Model Among Users

Abstract: Today is the era of parallel and distributed computing models. Recent developments in DSM, Grids and DSM based Grids focus on high end computations of parallelized applications. We have built SMIG (Shared Memory Integrated with Grid) which amalgamates DSM and Grid computing paradigms as a part of our doctoral work. Literature citations have indicated a lacuna in how technological models are communicated to potential users to increase usage. Based on this lacuna we have identified the potential users and prepared a communication framework to disseminate SMIG information in order increase its usage. Hence in this paper we have compared various communication techniques used for disseminating DSM, Grid and DSM based Grid models as surveyed from literature. We have further designed and implemented a communication framework to percolate SMIG information to users. In the communication framework we have plugged in various tools for information dissemination and feedback (apart from those found in the survey) for promoting usage of technology among volunteers and application developers. These are included in the communication framework, namely arranging overview sessions, passing written documentation like presentations, installation handbook, FAQs, and also providing an opportunity to use SMIG model. The detailed responses received from the users after implementing the communication framework are encouraging and indicates that such a communication framework can be used for disseminating other technology developments to potential users. This will prove useful in today’s dynamic world where technological developments are happening on a day to day basis.

Author 1: Seema Shah
Author 2: Sunita Mahajan

Keywords: DSM based Grid;Shared Memory integrated Grid- SMIG;Communication Framework.

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