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3rd International Conference on Information Systems, technology and Management, ICISTM 2009

作者： Prasad, Munaga V. N. K. Pramod Kumar, M.K. Sharma, Kuldeep Institute for Development and Research in Banking Technology Hyderabad India Dept. Of Mathematics Indian Institute of Technology Delhi India

ISBN: (纸本)9783642004049

In this paper, a new classification scheme for palmprint is proposed. Palmprint is one of the reliable physiological characteristics that can be used to authenticate an individual. Palmprint classification provides an important indexing mechanism in a very large palmprint database. Here, the palmprint database is initially categorized into two groups, right hand group and left hand group. Then, each group is further classified based on the distance traveled by principal line i.e. Heart Line During pre processing, a rectangular Region of Interest (ROI) in which only heart line is present, is extracted. Further, ROI is divided into 6 regions and depending upon the regions in which the heart line traverses the palmprint is classified accordingly. Consequently, our scheme allows 64 categories for each group forming a total number of 128 possible categories. The technique proposed in this paper includes only 15 such categories and it classifies not more than 20.96% of the images into a single category. © Springer-Verlag Berlin Heidelberg 2009.

关键词： Heart

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Interpretation: An illustration

Interpretation: An illustration

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2014 4th IEEE International Advance Computing Conference, IACC 2014

作者： Kumar, Shiv Carr, Mahil School of Computer and Information Sciences University of Hyderabad Hyderabad India Institute for Development and Research in Banking Technology Hyderabad India

ISBN: (纸本)9781479925711

To achieve software quality and reliability we need to identify and minimize the errors in early stages of software development life cycle which can be achieved by software verification. So, static analysis is viable surrogate which statically determines and verifies dynamic program properties. Abstract Interpretation is the theory of approximation of program semantics which is used in static analysis of programs. In this work, we provide an overview of major concepts relating to abstract interpretation theory and technique. An illustrative example is presented that shows how to do an interval analysis of a given program. © 2014 IEEE.

关键词： Static analysis

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Hybrid classification and regression models via particle swarm optimization auto associative neural network based nonlinear PCA

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International Journal of Hybrid Intelligent Systems 2013年第3期10卷 137-149页

作者： Ravi, Vadlamani Naveen, Nekuri Pandey, Mayank Institute for Development and Research in Banking Technology Hyderabad India

For solving classification and regression problems, we propose a hybrid system consisting of two phases which work in tandem. In the first phase, particle swarm optimization is employed to train a 3-layered auto associative neural network (henceforth called PSOAANN). In this phase, dimensionality reduction takes place in hidden layer, where the hidden nodes should be less than the input nodes. The outputs from the hidden nodes are then treated as nonlinear principal components (NLPC). They are fed to the second phase where several classifiers and regression methods are invoked. The second phase includes techniques viz., threshold accepting logistic regression (TALR), probabilistic neural network (PNN), group method of data handling (GMDH), support vector machine (SVM) and genetic programming (GP) for classification problems. For regression problems, general regression neural network (GRNN) is used in place of PNN. In addition, support vector machine (SVM), Genetic Programming (GP), GMDH are also employed, as they are versatile. The efficiency of the hybrid is analyzed on five banking datasets namely Spanish banks, Turkish banks, US banks and UK banks and UK credit dataset and five regression datasets viz., Bodyfat, Forestfires, AutoMPG, Boston Housing and Pollution. All the datasets are analyzed using 10 fold cross validation (10 FCV). It turns out that the proposed hybrid yielded higher accuracies across classification and regression problems.

关键词： Particle swarm optimization auto associative neural networks non-linear principal components threshold accepting logistic regression bankruptcy prediction regression SVM GP PNN GRNN GMDH

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An effective certificateless signature scheme based on bilinear pairings

An effective certificateless signature scheme based on bilin...

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作者： Gorantla, M.Choudary Gangishetti, Raju Lal Das, Manik Saxena, Ashutosh Institute for Development and Research in Banking Technology Castle Hills Masab Tank Hyderabad 500057 India

ISBN: (纸本)9728865252

In this paper we propose a certificateless signature scheme based on bilinear pairings. The scheme effectively removes secure channel for key issuance between trusted authority and users and avoids key escrow problem, which is an inherent drawback in ID-based cryptosystems. The scheme uses a simple blinding technique to eliminate the need of secure channel and user chosen secret value to avoid the key escrow problem. The signature scheme is secure against adaptive chosen message attack in the random oracle model.

关键词： Authentication

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Reversible Data Hiding Using Multi-Layer Perceptron Based Pixel Prediction 20

Reversible Data Hiding Using Multi-Layer Perceptron Based Pi...

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11th International Conference on Advances in Information technology, IAIT 2020

作者： Bhandari, Abhishek Sharma, Shivraj Uyyala, Ravi Pal, Rajarshi Verma, Mridula Indian Institute of Technology Jodhpur India Indian Institute of Technology Guwahati India Ace Engineering College Hyderabad India Institute for Development and Research in Banking Technology Hyderabad India

ISBN: (纸本)9781450377591

Reversible data hiding is a branch of data hiding in which cover image can additionally be restored along with the extraction of hidden data. In prediction error expansion based reversible data hiding techniques, pixel values are predicted using the neighborhood pixels. Data bits are hidden in the expanded prediction error. Prediction error expansion based techniques have become popular due to their superior performances over other categories of techniques. In this paper, a novel reversible data hiding technique is proposed based on a multi-layer perceptron based pixel prediction. The multi-layer perceptron is trained to predict a pixel value based on its eight neighbors. Experiments have been conducted by varying the number of hidden layers and the number of neurons in each hidden layer in the multi-layer perceptron. The best architecture for the multi-layer perceptron is chosen for the proposed reversible data hiding technique. Finally, an adaptive embedding strategy is used to insert either one bit or two bits of data in the expanded prediction error of the pixel based on the standard deviation of the pixel values in the local neighborhood. © 2020 ACM.

关键词： Pixels

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Optimizing ATM placement using game theory

Optimizing ATM placement using game theory

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International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015

作者： Rathnam, Raja Kanapaka, Naidu Neelisetti, Raghu Kisore School of Computer and Information Sciences University of Hyderabad Hyderabad India Institute for Development and Research in Banking Technology Hyderabad India

ISBN: (纸本)9781479987917

ATM is one of the key delivery channels used by banks to extend banking services to their customers. Facility location is a problem of paramount importance where the aim is to optimize business operations without affecting customer service. In case of delivering banking services this is a challenge because the demand for service and its associated quality expectations are determined by the socio-economic background of the customer. The problem of ATM location is further complicated as customers of one bank can use their debit cards at any other bank ATMs. While this might attract charges, some banks often refund these charges to attract customers. Banks need to have a mechanism to quantitatively measure the benefits of managing their own ATM versus paying for fees to another banks ATM. Game theory is the study of strategic decision making and is an effective technique to identify the best business strategy when provided with multiple options. In this paper we evaluate the strategy of ATM placement by a bank in the presence of multiple competitive banks in a given geographical area. © 2015 IEEE.

关键词： Game theory

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A Novel Pixel Value Predictor Using Long Short Term Memory (LSTM) Network 16th

A Novel Pixel Value Predictor Using Long Short Term Memory (...

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16th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2023

作者： Myakal, Sabhapathy Pal, Rajarshi Naveen, Nekuri School of Computer and Information Sciences University of Hyderabad Hyderabad India Institute for Development and Research in Banking Technology Hyderabad India

ISBN: (纸本)9783031364013

Pixel value prediction refers to predicting a pixel value using its neighboring pixel values. It is an important part of several image processing tasks, such as image compression and reversible data hiding. Prediction error is defined as the difference between the original pixel value and the corresponding predicted pixel value. Low prediction error helps to attain good performances in both image compression and reversible data hiding. This has motivated researchers to explore various techniques for pixel value prediction. Most of these techniques map the neighborhood to the predicted value using a mathematical relationship. This kind of rigid approach does not fit to the varied pixel neighborhood in images. On the contrary, a neural network can be trained to predict the pixel value instead of using a conventional mathematical approach for this mapping. In this paper, pixel value prediction is conceptualized as predicting the next value in a spatial sequence of pixels in a particular direction. Therefore, a novel pixel value predictor is proposed using a long short term memory (LSTM) network. Two different LSTM networks are trained separately for horizontal and vertical directions. Finally, the proposed approach leverages the predictors for both directions. For each pixel, it considers the direction with lesser variation in the input pixel sequence. Experimental results indicate that the proposed LSTM network based predictor performs better than the comparing state-of-the-art methods. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Long short-term memory

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On demand logical resource replication scheme as a service

On demand logical resource replication scheme as a service

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3rd International Conference on Advances in Communication, Network, and Computing, CNC 2012

作者： Manu, Vardhan Akhil, Goel Abhinav, Verma Shakti, Mishra Kushwaha, D.S. Computer Science and Engineering Department MNNIT Allahabad Allahabad India Institute for Development and Research in Banking Technology Hyderabad India

ISBN: (纸本)9783642356148

Logical resource replication in cloud environment along with the issue of transparency and its impact on overall system performance has been rarely focused. This work proposes an On-demand Logical Resource Replication Scheme (OLRRS) for file replication. OLRRS approach provides migration, access and performance transparency to the system, thereby ensuring the migration decisions about the files. It is also responsible for replicating the file, from one peer server to the other peer server, when the total number of request, on a peer server, for transferring a file reaches the threshold value. The scheme is simulated on JAVA platform and tested on a private cloud. A comparative study of the pro- posed approach with the Request Reply Acknowledgement (RRA) and Request Reply (RR) protocol is presented, showing the significant reduction by 37.5% to 58%, in terms of total number of messages exchanged for replication. © 2012 ICST institute for Computer Science, Social Informatics and Telecommunications Engineering.

关键词： Transparency

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A security framework for mobile-to-mobile payment network

A security framework for mobile-to-mobile payment network

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7th IEEE International Conference on Personal Wireless Communications, ICPWC 2005

作者： Das, Manik Lal Saxena, Ashutosh Gulati, Ved P. Institute for Development and Research in Banking Technology Castle Hills Road No.1 Masab Tank Hyderabad-500057 India

The paper presents a framework for mobile-to-mobile payment system, where a mobile phone with or without SIM card is used as an EMV payment instrument and is linked to a debit or credit account in a bank to pay any merchant who has a mobile phone or an on-line EMV capable terminal. In a single phone, multiple credit or debit accounts from different banks can be configured without compromising on security. The customer or consumer can manage many accounts with a common PIN and the framework provides a secure and convenient payment mechanism over-the-air. © 2005 IEEE.

关键词： Mobile telecommunication systems

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Software reliability prediction using intelligent techniques: Application to operational risk prediction in firms

Software reliability prediction using intelligent techniques...

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作者： Ravi, V. Chauhan, Nikunj J. Kiran, N. Raj Institute for Development and Research in Banking Technology Castle Hills Road 1 Masab Tank Hyderabad-500 057 India

In this paper, operational risk arising from the technological dimension is effectively modeled by efficiently forecasting software reliability. We propose the use of wavelet neural networks (WNN) to predict software reliability. Two kinds of wavelets were employed in WNN as transfer functions, viz. Morlet wavelet and Gaussian wavelet, thus giving rise to two variants of WNN. The effectiveness of WNN is demonstrated on a data set taken from literature. Its performance is compared with that of multiple linear regression, multivariate adaptive regression splines, back propagation trained neural network, threshold-accepting trained neural network, threshold accepting trained wavelet neural network, pi-sigma network, general regression neural network, dynamic evolving neuro-fuzzy inference system and TreeNet in terms of normalized root mean square error obtained on test data. Based on the experiments performed, it is observed that the WNN-based models outperformed all the other techniques. © 2009 Imperial College Press.

关键词： Software reliability

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