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ON THE PERFORMANCE OF TRANSPUTER ARRAYS FOR DENSE LINEAR-SYSTEMS

PARALLEL computing 1990年第1-3期15卷 107-117页

作者： BOREDDY, J PAULRAJ, A Center for Development of Advanced Computing 2/1 Brunton Road Bangalore-560 025 India

In this paper, computation and communication performance is evaluated for single and multitransputer arrays. Performance models are proposed for Occam program execution, under Transputer development System TDS2. The performance features of normalised arithmetic, concurrent floating and integer arithmetic, logarithmic array indexing, and on-chip/off-chip RAM are studied. The startup time, byte transfer rate, asymptotic link bandwidth, and half performance message length are estimated for simultaneous operation of one, two, three, and four links at clock in unidirectional/bidirectional modes. The impact of various performance maximisation techniques on execution time is also addressed. The matrix factorisation algorithms for dense linear systems are chosen as the focus for this study. The implementations include LUD, Householder, Gauss-Jordan, Choleski, and Givens methods. Floating point operations count alone is inadequate to estimate computation time; many other factors such as array indexing, load/store overhead, and loop overhead play a significant role in the transouter performance for the dense linear systems. The reduction in array indexing overheads in multitransputer arrays may result in superlinear speedups.

关键词： Dense linear systems Matrix factorisation Performance characterisation Performance maximisation Superlinear speedup

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PARALLEL ALGORITHMS FOR SPARSE TRIANGULAR SYSTEM SOLUTION

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PARALLEL computing 1993年第2期19卷 187-196页

作者： KUMAR, PS KUMAR, MK BASU, A Center for Development of Advanced Computing 2/1 Brunton Road Bangalore 560 025 India

We present new local-memory multiprocessor algorithms for solving sparse triangular systems of equations that arise in the context of Cholesky factorization. Unlike in the existing algorithms, we use the notion of the elimination tree and achieve significant improvement in the performance of both the forward and backward substitution phases. Our algorithms also incorporate the generalization of an important technique of Li and Coleman that gave rise to the best performance for dense triangular system solution.

关键词： LOCAL-MEMORY MULTIPROCESSOR SYSTEMS PARALLEL ALGORITHMS SPARSE CHOLESKY FACTORIZATION SPARSE TRIANGULAR SYSTEMS ELIMINATION TREE

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A cascaded fingerprint quality assessment scheme for improved system accuracy

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International Journal of Computer Science Issues 2011年第2期8卷 449-455页

作者： Saquib, Zia Soni, Santosh Kumar Suhasaria, Sweta Mokal, Pratibha Center for Development of Advanced Computing Mumbai Maharashtra 400049 India

Poor-quality images mostly result in spurious or missing features, which further degrade the overall performance of fingerprint recognition systems. This paper proposes a reconfigurable scheme of quality checks at two different levels: i) at raw image level and ii) at feature level. At first level, ellipse properties are calculated through analysis of statistical attributes of the captured raw image. At second level, the singularity points (core & delta) are identified and extracted (if any). These information, as quality measures, are used in a cascaded manner to block/pass the image. This model is tested on both publicly available (Cross Match Verifier 300 sensor) as well as proprietary (Lumidigm Venus V100 OEM Module sensor) fingerprint databases scanned at 500 dpi. The experimental results show that this cascaded arrangement of quality barricades could correctly block poor quality images and hence elevated the overall system accuracy: with quality checks, both FNMR and FMR significantly dropped to 9.52% & 0.26% respectively for Cross Match Dataset and 2.17% & 2.16% respectively for Lumidigm Dataset.

关键词： Image quality

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Multilingual speech to speech MT based chat system

Multilingual speech to speech MT based chat system

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International Conference on computing and Network Communications, CoCoNet 2015

作者： Gopi, Arun Shobana Devi, P. Sajini, T. Stephen, Jose Bhadhran, V.K. Center for Development of Advanced Computing Trivandrum India

ISBN: (纸本)9781467373098

This paper presents a chat application that make use of speech as interaction mode between users in their mother tongue. This system is based on Machine Translation (MT) which automatically translates a sentence from one language to other. Now-a-days, Chat has become increasingly important as an effective means to communicate in social networks. But in existing personal chat systems, chat services are text-based only. To circumvent this issue, innovative, practical XMPP-based chat system architecture is proposed in this paper that creates a Speech based chat services by integrating state-of-the-art technologies like Automatic Speech Recognition (ASR), Text to Speech (TTS) and Machine Translation (MT). The proposed system eliminates the need to have a common language for chat communication. In this chat system the user speak in their own language after selecting the language of their comfort. The audio will be recognized in real time. The text is translated to the language opted by end user and the system synthesizes it. Here, we discuss an interface prototype that can overcome the language barrier to some extent. © 2015 IEEE.

关键词： Machine translation

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Cyber Forensics: Discovering Traces of Malware on Windows Systems

Cyber Forensics: Discovering Traces of Malware on Windows Sy...

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2020 IEEE Recent Advances in Intelligent Computational Systems, RAICS 2020

作者： Dija, S. Ajana, J. Indu, V. Sabarinath, M. Center for Development of Advanced Computing Thiruvananthapuram India

ISBN: (数字)9781728190525

ISBN: (纸本)9781728190525

Malware Crimes are ubiquitous nowadays. One of the challenges faced by Cyber Forensics Investigators is to retrieve the details of a suspicious program, which might be malware, from a computer. Another challenge is that anti-forensics techniques are often adopted by criminals after committing cybercrimes to hide the presence of suspicious programs and their associated details. In such cases, footprints of the suspicious programs and the related details may be deleted or overwritten from the Suspect's computer. This paper presents a detailed procedure to reconstruct or retrieve crucial information related to those suspicious programs from various sources on a Windows Computer. This type of analysis reveals the traces of these programs from their remnants available on a computer. This paper describes methodologies for examining the storage media as well as random access memory content of the Suspect's computer to retrieve such footprints. It also includes the steps for analyzing various Windows 10 artefacts that may hold the footprints of malware even after it is deleted or overwritten from the original location. The paper also explains the results of experiments conducted to identify the traces of suspicious executables which are deleted or still existing on the Computer. © 2020 IEEE.

关键词： Computer forensics

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Multilingual Online Handwriting Recognition System: An Android App 5

Multilingual Online Handwriting Recognition System: An Andro...

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5th International Conference on Advances in computing and Communications, ICACC 2015

作者： Indhu, T.R. Vidya, V. Bhadran, V.K. Center for Development of Advanced Computing Thiruvananthapuram India

ISBN: (纸本)9781467369947

On-line handwriting recognition means recognizing the user's handwriting as the user is writing the character/stroke, i.e. the recognition is concurrent to the writing process. This paper describes a Multilingual Online handwriting recognition system in Android using SFAM Artificial Neural Network Technique. The app allows the user to select any of the target languages supported. The handwriting sequences are collected by the digitization of the pen/stylus movements as an array of x, y coordinates which is called a stroke. The structural and directional information are extracted from each character/stroke. The extracted features as a feature vector are passed as input to a SFAM artificial neural network (ANN) classifier. The SFAM classifier then performs a comparison of the input data with the trained data and finds the nearest prototype from the database that 'resonates' with the input pattern. The labels/recognized characters are assigned their corresponding Unicode code points and displayed using appropriate fonts. © 2015 IEEE.

关键词： Classification (of information)

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Robust iris templates for efficient person identification

Robust iris templates for efficient person identification

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2nd International Conference on Computer Science, Engineering and Applications, ICCSEA 2012

作者： Gangwar, Abhishek Joshi, Akanksha Sharma, Renu Saquib, Zia Center for Development of Advanced Computing Mumbai India

ISBN: (纸本)9783642301568

Iris recognition is seen as a highly reliable biometric technology. The performance of iris recognition is severely impacted when encountering irises captured in realistic conditions. The selection of the features subset and the classification is an important issue for iris biometrics. In this paper we propose new methods for feature extraction and template creation during enrollment to improve the performance of iris recognition systems. The experiments are based on storing i) multiple templates (template group) for a user ii) Single template by taking average mean of multiple templates iii) Single template calculated from multiple templates using Direct Linear Discriminant Analysis (DLDA). We used CASIA Iris Interval database for our experiments. Experiments report significant improvement in the performance of iris recognition. © 2012 Springer-Verlag GmbH.

关键词： Feature extraction

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Modeling web attachment storage for web applications 21

Modeling web attachment storage for web applications

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21st Asia-Pacific Software Engineering Conference, APSEC 2014

作者： Jain, Vijay Kolambkar, Amol Center for Development of Advanced Computing Mumbai India

ISBN: (纸本)9781479974252

Web application performance plays vital role in application usability and adaptability to its intended users. There are many factors, which attributes towards overall performance enhancements. One of them is that how efficiently a web application under peak load stores or retrieves the webattached documents. In this paper, we have described a document storage and retrieval technique for improving web application performance. A technique suggested for the document storage purpose is based on the verification of results performed with various types and sizes of document attachments. Applying the suggested technique has shown an overall performance improvement for applications with web attachments. © 2014 IEEE.

关键词： Web services

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Augmented reality based interactive text book: An assistive technology for students with learning disability

Augmented reality based interactive text book: An assistive ...

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2013 15th Symposium on Virtual and Augmented Reality, SVR 2013

作者： Vinumol, K.P. Chowdhury, Ashsish Kambam, Radhika Muralidharan, V. Center for Development of Advanced Computing Hyderabad India

ISBN: (纸本)9780769550015

Statistics based on research reveals that India has approximately ninety million people with varying degrees of Learning Disabilities (LD) and an average class in schools has about five students with learning disabilities. Epidemiological studies of learning disabilities in India are burdened by problems ranging from identification, assessment, to socio-cultural factors unique to India. Therefore, it is believed that number of children with LD may be much larger than five to a class of fifty students. Hence it is necessary for us to develop suitable technologies to assist the education of these learning disabilities children. This paper presents a PROTYPE called Interactive Text book for assisting students with learning disability. Here the book will be same as normal text book with out any special markers and identifiers. Once the children focus on a text, the 3D images, audio and videos that explains the text more graphically will be augmented on that page. This enhances the students understanding and makes the learning process easier for them. © 2013 IEEE.

关键词： Augmented reality

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Periocular feature extraction based on LBP and DLDA

Periocular feature extraction based on LBP and DLDA

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2nd International Conference on Computer Science, Engineering and Applications, ICCSEA 2012

作者： Joshi, Akanksha Gangwar, Abhishek Sharma, Renu Saquib, Zia Center for Development of Advanced Computing Mumbai India

ISBN: (纸本)9783642301568

Periocular recognition is an emerging field of research and people have experimented with some feature extraction techniques to extract robust and unique features from the periocular region. In this paper, we propose a novel feature extraction approach to use periocular region as a biometric trait. In this approach we first applied Local Binary Patterns (LBPs) to extract the texture information from the periocular region of the image and then applied Direct Linear Discriminant Analysis (DLDA) to produce discriminative low-dimensional feature vectors. The approach is evaluated on the UBIRIS v2 database and we achieved 94% accuracy which is a significant improvement in the performance of periocular recognition. © 2012 Springer-Verlag GmbH.

关键词： Local binary pattern

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