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International Symposium on Parallel Processing

作者： M.K. Kumar P.S. Kumar A. Basu Center for Development of Advanced Computing Bangalore India

The authors propose the design of a library environment, called PARUL (PARallel User Library), for distributed memory multiprocessor systems. An important feature of the environment is that it allows the data distributed for use of a library function as well as the results generated by the function to be retained in the network of processors to be used by subsequent library functions. The user of the library is given full control over the set of variables that are retained in the network. The authors describe the implementation details of PARUL on a multi-transputer system (PARAM) and discuss its performance.< >

关键词： Multiprocessing systems Software libraries Hypercubes Concurrent computing Distributed computing Multiprocessor interconnection networks Costs Scalability Parallel programming Computer networks

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Data partitioning schemes for the parallel implementation of the revised simplex algorithm for LP problems

Data partitioning schemes for the parallel implementation of...

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International Symposium on Parallel Processing

作者： U. Sridhar A. Basu Center for Development of Advanced Computing Bangalore India

The parallel implementation of the revised simplex algorithm (RSA) using eta-factorization holds the promise of significant improvement in the execution time by virtue of the existence of a high degree of parallelism in the computation within an iteration of the algorithm. However, the scheme employed to partition key data structures in a distributed memory parallel processor has a great impact on the achievable performance. The paper explores the trade-offs between block-row and block-column partitioning schemes for the matrix of constraint coefficients vis-a-vis the communication overheads and granularity of parallel computations. The results of an approximate analysis of the compute-communication balance are compared with measurements from practical implementation of the partitioning schemes on C-DAC's PARAM 8000 distributed memory parallel processor.< >

关键词： Partitioning algorithms Concurrent computing Costs Data structures Distributed computing Memory management Linear programming Engineering management Parallel processing Acceleration

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Grid based Real Time Collaborative System

Grid based Real Time Collaborative System

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International Conference on Parallel Distributed and Grid computing (PDGC)

作者： R. Manavalan Kishor Gupta Subrata Chattopadhyay Mangala Center for Development of Advanced Computing Bangalore India

This paper mainly highlights the technical challenges addressed while deploying an end user specific real time Geospatial collaborative system on the top of GARUDA Grid. The grid simulation results has been gathered in a automated mode from the computing clusters of the Grid and the results of equal time stamp have been merged by a centralized image processing unit which has been connected to a `Master Visualization Server'. Operations of the master visualization server gets synchronized with many regional remote `Proclient' systems and both together manages the real time collaborative events by disseminating the camera display of master scene as well as supporting the virtual visualization of proclient information between and across the Grid users locations. The system has been made operational as GARUDA Grid Real Time Collaborative System (GG-RT-CS) and same can be implemented on any computational Grid which supports regional scale Geospatial applications.

关键词： Collaboration Real time systems Servers Lead Grid computing Geospatial analysis Floods

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Evaluation of open source anti-rootkit tools

Evaluation of open source anti-rootkit tools

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Workshop on Anti-malware Testing Research (WATeR)

作者： Sandeep Romana Amit Kumar Jha Himanshu Pareek P. R. L Eswari Center for Development of Advanced Computing Hyderabad India

Rootkits belong to the family of malware that infect the systems in stealth. We studied different system subversion techniques used by rootkits on Windows platform. Then we identified thirteen operating system parameters to scan for rootkit infection. This paper evaluates the capabilities of open source anti-rootkits using these parameters.

关键词： Internet Fats Kernel Testing Libraries Malware

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ISPIHT-Improved SPIHT: A Simplified and Efficient Subband Coding Scheme

ISPIHT-Improved SPIHT: A Simplified and Efficient Subband Co...

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International Conference on computing: Theory and Applications, ICCTA

作者： Yumnam Kirani Singh Center for Development of Advanced Computing Kolkata India

Proposed here is a new subband coding scheme entitled ISPIHT (Improved SPIHT). It is simpler in its coding approach yet it is more efficient in time and memory keeping the performance of SPIHT preserved. It requires less no of compression operations during the coding. The memory requirement for ISPIHT is about two times less than SPIHT

关键词： Image coding Transform coding Testing Entropy Bit rate Distortion Wavelet transforms Redundancy Process control Decoding

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Modeling Web Attachment Storage for Web Applications

Modeling Web Attachment Storage for Web Applications

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Asia-Pacific Conference on Software Engineering

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

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 web-attached 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.

关键词： Conferences Web servers Performance evaluation Testing Computational modeling

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Automatic 3D modeling and exploration of indoor structures from panoramic imagery 24

Automatic 3D modeling and exploration of indoor structures f...

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2024 SIGGRAPH Asia 2024 Courses, SA Courses 2024

作者： Gobbetti, Enrico Pintore, Giovanni Agus, Marco National Research Center in High-Performance Computing Big Data and Quantum Computing Cagliari Italy Visual and Data-intensive Computing Center for Advanced Studies Research and Development in Sardinia Cagliari Italy College of Science and Engineering Hamad Bin Khalifa University Doha Qatar

ISBN: (纸本)9798400711350

Surround-view panoramic imaging delivers extensive spatial coverage and is widely supported by professional and commodity capture devices. Research on inferring and exploring 3D indoor models from 360° images has recently flourished, resulting in highly effective solutions. Nevertheless, challenges persist due to the complexity and variability of indoor environments and issues with noisy and incomplete data. This course provides an up-to-date integrative view of the field. After introducing a characterization of input sources, we define the structure of output models, the priors exploited to bridge the gap between imperfect input and desired output, and the main characteristics of geometry reasoning and data-driven approaches. We then identify and discuss the main sub-problems in indoor reconstruction from panoramas and review and analyze state-of-the-art solutions for indoor capture, room modeling, integrated model computation, visual representation generation, and immersive exploration. Relevant examples of implemented pipelines are described, focusing on deep-learning solutions. We finally point out relevant research issues and analyze research trends. © 2024 Copyright held by the owner/author(s).

关键词： 3D reconstruction

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Applications of Support Vector Machines In Chemo And Bioinformatics

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AIP Conference Proceedings 2010年第1期1298卷 18-23页

作者： V. K. Jayaraman V. Sundararajan aCSIR Emeritus Scientist Center For Development of Advanced Computing Pune University Campus Pune‐411007 India bGroup Leader Center For Development of Advanced Computing Pune University Campus Pune‐411007 India

Conventional linear & nonlinear tools for classification, regression & data driven modeling are being replaced on a rapid scale by newer techniques & tools based on artificial intelligence and machine learning. While the linear techniques are not applicable for inherently nonlinear problems, newer methods serve as attractive alternatives for solving real life problems. Support Vector Machine (SVM) classifiers are a set of universal feed‐forward network based classification algorithms that have been formulated from statistical learning theory and structural risk minimization principle. SVM regression closely follows the classification methodology. In this work recent applications of SVM in Chemo & Bioinformatics will be described with suitable illustrative examples.

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PosMed: A biomedical entity prioritisation tool based on statistical inference over literature and the Semantic Web 6

PosMed: A biomedical entity prioritisation tool based on sta...

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6th International Workshop on Semantic Web Applications and Tools for Life Sciences, SWAT4LS 2013

作者： Kobayashi, Norio Makita, Yuko Ishii, Manabu Matsushima, Akihiro Mochizuki, Yoshiki Doi, Koji Nishikata, Koro Gifford, David Takatsuki, Terue Masuya, Hiroshi Toyoda, Tetsuro RIKEN Advanced Center for Computing and Communication Integrated Database Unit Wako Japan RIKEN BioResource Center Technology and Development Unit for Knowledge Base of Mouse Phenotype Tsukuba Japan

Positional MEDLINE (PosMed) is a web application that quickly prioritises biomedical entities such as genes and diseases based on statistical signicance of associations between these and a user-specied keyword by employing our original search engine named General and Rapid Association Study Engine (GRASE). GRASE search is modelled as an extension of SPARQL search with statistical analysis, which enables searching over semantic data including not only linked datasets but also signicant extracted semantic links over multiple biomedical documents. PosMed was originally implemented for in silico positional cloning stud- ies by prioritizing genes. Further applications include bioresource search with associated genetic functions or ontologies, and functional interpreta- Tion of gene variants found from exome sequencing of personal genomes. PosMed is available at http://***/PosMed/.

关键词： Genes

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Text analysis for honeypot misuse inference 5

Text analysis for honeypot misuse inference

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5th IEEE International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2020

作者： Kamati, Toivo Herman Jat, Dharm Singh Chamotra, Saurabh Namibia University of Science and Technology Department of Computer Science Windhoek Namibia Center for Development of Advanced Computing Department of Cyber Security Technology Pune India

ISBN: (纸本)9781728194370

Transformation of raw text is required for computational text analysis using Natural Language Processing methods. Computational text analysis leverage on human brain limitations to automatically index documents for retrieval and topic generation for topic distribution correlations in corpus of voluminous documents. Natural language non-parametric and parametric Topic modeling with Expectancy Maximization and Gibbs sampling render technique to build Machine Learning models for evaluation with log-likelihood, topic coherence and coefficient of determination of held-out document. This research extends the concept of Natural Language Processing to automate analysis of High interaction honeypot system call documents to deduce system resources misuse by malcode during real-time engagement with the user-space applications of the deployed honeypot. © 2020 IEEE.

关键词： Learning algorithms

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