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9th International Conference on advanced Communication Technology (ICACT 2007)

作者： Ray, Prabhudutta Center for Development of Advanced Computing Department of Computer Science and Engineering Noida India

ISBN: (纸本)9788955191318

Mobile ad hoc network is a collection of mobile hosts' which can communicate with each other using wireless interfaces and can also dynamically form a network topology where each node can act as router to forwarding the packets to other nodes. These networks are in high demand due to the ease and speed in selling up such networks. Due to the inherent vulnerabilities of wireless medium and node mobility make such network highly susceptible to malicious attacks. Things are getting worst when some nodes getting hijacked or compromised and make this network to stop from the smooth workings. This paper proposes the host based intrusion detection architecture to identify lite malicious node and provide security support to continue the smooth workings of this network.

关键词： HAR ACM ARP CM ADM MDM HDD SCM etc

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IMPLEMENTATION OF WEB CRAWLER

IMPLEMENTATION OF WEB CRAWLER

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2nd International Conference on Emerging Trends in Engineering and Technology (ICETET09)

作者： Gupta, Pooja Johari, Kalpana Linagay's University India Center for Development of Advanced Computing NOIDA India

ISBN: (纸本)9781424452507

The World Wide Web is an interlinked collection of billions of documents formatted using HTML. Ironically the very size of this collection has become an obstacle for information retrieval. The user has to shift through scores of pages to come upon the information he/she desires. Web crawlers are the heart of search engines. Web crawlers continuously keep on crawling the web and find any new web pages that have been added to the web, pages that have been removed from the web. Due to growing and dynamic nature of the web;it has become a challenge to traverse all URLs in the web documents and to handle these URLs. A focused crawler is an agent that targets a particular topic and visits and gathers only relevant web pages. In this dissertation I had worked on design and working of web crawler that can be used for copyright infringement. We will take one seed URL as input and search with a keyword, the searching result is based on keyword and it will fetch the web pages where it will find that keyword. This focused based crawler approach retrieve documents that contain particular keyword from the user's query;we are implementing this using breadth-first search. Now, when we retrieved the web pages we will apply pattern recognition over text. We will give one file as input and apply the pattern recognition algorithms. Here, pattern symbolizes text only and check how much text is available on the web page. The algorithms that I had used for pattern search are Knutt-Morri-Pratt, Boyer-Moore, Finite Automata algorithm.

关键词： Search engine focus crawler pattern recognition copyright infringement

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CHALLENGES TO THE USE OF SUPERCOMPUTERS AND SCIENTIFIC VISUALIZATION FOR AUTOMOTIVE APPLICATIONS

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COMPUTERS & GRAPHICS 1993年第5期17卷 507-515页

作者： GINSBERG, M High-End Computing Section EDS Advanced Computing Center General Motors Research and Development Center 30500 Mound Road P.O. Box 9055 Warren MI 48090-9055 USA

Supercomputing and visualization facilities are used in the automotive industry to produce large-scale computer simulations of physical phenomena related to the efficient design, analysis, and manufacture of cars and trucks. Such tools are an economic necessity for creating very high-quality vehicles that can be rapidly brought from concept to production in an increasingly competitive worldwide automotive market. This paper focuses attention on current and future directions for supercomputing and scientific visualization in an automotive applications environment. Extensive references to automotive simulation work on vector/parallel computers at General Motors are given in the Appendix. The interactions of supercomputers and visualization tools are discussed along with potential bottlenecks which must be overcome.

关键词： Computer graphics

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International efforts for children online safety: A survey

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International Journal of Web Based Communities 2020年第2期16卷 123-133页

作者： Andrews, Dittin Alathur, Sreejith Chetty, Naganna Center for Development of Advanced Computing Electronics City Bangalore India National Institute of Technology Karnataka Surathkal Mangalore India

Children online safety is a global issue and attaining international attention to address it. Often, children are vulnerable to online threats. Aim of this paper is to review children online safety issues and identify existing international efforts for reducing online risks. In this regard, efforts from available international bodies for providing online safety to children are reviewed and reported. To overcome online risks, understanding the behaviour of online ecosystem and coping after facing risks are most important. The ecosystem involves different stakeholders such as service providers, physical network, online users being connected, social media sites and tools and technology. Elimination of online risks is difficult but the intensity of risks can be reduced. Copyright © 2020 Inderscience Enterprises Ltd.

关键词： Ecosystems

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CALIBRATION AND VALIDATION OF THE CYGNSS LEVEL 1 DATA PRODUCTS 37

CALIBRATION AND VALIDATION OF THE CYGNSS LEVEL 1 DATA PRODUC...

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IEEE International Geoscience & Remote Sensing Symposium

作者： Gleason, Scott Ruf, Christopher Clarizia, Maria Paola Johnson, Joel O'Brien, Andrew Chang, Paul Jelenek, Zorana Said, Faozi Soisuvarn, Seubson AAI Center for development of Advanced Computing Pune India Banasthali Vidyapith Banasthali India

ISBN: (纸本)9781509049516

This presentation will include an overview of the recently launched NASA CYGNSS mission Level 1 calibration algorithms and their on-orbit validation [1], [2]. The validation of the Level 1 calibration will be performed in several steps, including a) a detailed noise floor analysis to assess the observed on-orbit noise power levels over the open ocean, b) multiple consistency checks using a forward model and co-located ocean wind and wave truth reference data and c) a term by term error analysis of all the non-ocean corrections applied to the final sigma0 estimates. An outline of the Level 1a (calibration from raw Level 0 instrument counts to units of watts for the received power) and the Level 1b (calibration from watts to bistatic scattering cross section) algorithms are each shown below. Three key components of the Level 1a calibration will be presented, namely, an analysis of the instrument (alone) and antenna noise characteristics over the ocean, a study of the range of received power levels from the surface, and comparisons with a forward model. The key components of the Level 1b calibration presented here will include validation of the main corrections applied to arrive at a surface sigma0 estimate, including receiver antenna gain, GPS transmitter and scattering area corrections.

关键词： Calibration Sea surface Wind speed Scattering Sea measurements Surface waves

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Design and Validation of a Hyper-converged Blockchain Hardware and Software System Based on Domestic Chips 1st

Design and Validation of a Hyper-converged Blockchain Hardwa...

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1st Conference on Blockchain and Web3.0 Technology Innovation and Application, BWTAC 2024

作者： Liu, Xiaolong Yuan, Bo Wu, Faguo Enterprise Technology Center Aerospace Legione Technology Co. Ltd Haidian Beijing100195 China School of Computer Science and Engineering Beihang University Haidian Beijing100191 China State Key Laboratory of Software Development Environment Beihang University Haidian Beijing100191 China Institute of Artificial Intelligence Beihang University Haidian Beijing100191 China Beihang University Haidian Beijing100191 China Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Beihang University Haidian Beijing100191 China

ISBN: (纸本)9789819794119

This paper proposes a hyper-converged blockchain hardware and software sys-tem based on domestic chips. By utilizing domestically firmware, the Linux operating system, X86 architecture Hygon processors, and ARM architecture Phytium processors, combined with servers, storage, network, and independently controllable blockchain technologies, the system achieves integrated hardware and software optimization. This significantly improves performance and scalability. Experimental results demonstrate that the system performs excellently in various high-security application scenarios, providing reliable solutions for government, finance, taxation, transportation, energy, and telecommunications sectors. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Firmware

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Automatic dynamic stack management in large scientific applications: A case study using a global spectral model

Automatic dynamic stack management in large scientific appli...

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2016 International Symposium on Grids and Clouds, ISGC 2016

作者： Laveti, Ramesh Naidu Center for Development of Advanced Computing C-DAC Knowledge Park India

Compute and data intensive scientific applications demand compilers to allocate more temporaries on the stack. For example, the change resolution component of a global spectral model changes the resolution of the input files using Nearest Neighbour Interpolation which requires large temporaries on the stack. Temporaries include sub-arrays, automatic arrays and, sub-sections corresponding to actual arguments of a subroutine. If the infrastructure cannot provide adequate stack space at runtime relative to the total size of the temporaries, then the application program runs out of stack and aborts. Allocating the heap memory to store the large temporaries introduced around 25% additional runtime because of allocation and deallocation of the memory. This is observed in various components of a global spectral model. We propose an automatic dynamic stack management framework which uses application profile information and the information related to the required stack memory. It does not mandate any hardware configuration changes. This technique manages stack frames on RAM by the compiler-inserted code into the application binary. Our experiments with a global spectral model show that we are able to obtain an average runtime savings of 21% along with a compile time overhead of 4%. The actual gain depends on the size of the temporaries in an application and the size of the RAM. Currently, it supports sequential and OpenMP applications. We further enhance our framework to deal with the complex MPI and GPU programming paradigms. © Copyright owned by the author(s) under the terms of the Creative Commons

关键词： Random access storage

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RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling Under Continuous Representation

RobNODDI: Robust NODDI Parameter Estimation with Adaptive S...

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15th International Workshop on Computational Diffusion MRI, CDMRI 2024, held in conjunction with 27th International Conference on Medical Image computing and Computer-Assisted Intervention, MICCAI 2024

作者： Xiao, Taohui Cheng, Jian Fan, Wenxin Yang, Jing Li, Cheng Dong, Enqing Wang, Shanshan School of Mechanical Electrical and Information Engineering Shandong University Weihai264209 China State Key Laboratory of Software Development Environment Beihang University Beijing China Key Laboratory of Data Science and Intelligent Computing Institute of International Innovation Beihang University Zhejiang Hangzhou China Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Shenzhen China Peng Cheng Laboratory Guangdong Shenzhen China

ISBN: (纸本)9783031869198

Neurite Orientation Dispersion and Density Imaging (NODDI) is an important imaging technology used to evaluate the microstructure of brain tissue, which is of great significance for the discovery and treatment of various neurological diseases. Current deep learning-based methods perform parameter estimation through diffusion magnetic resonance imaging (dMRI) with a small number of diffusion gradients. These methods speed up parameter estimation and improve accuracy. However, the diffusion directions used by most existing deep learning models during testing needs to be strictly consistent with the diffusion directions during training. This results in poor generalization and robustness of deep learning models in dMRI parameter estimation. In this work, we first verify that the parameter estimation performance of current mainstream methods will significantly decrease when the testing diffusion directions and the training diffusion directions are inconsistent. A robust NODDI parameter estimation method with adaptive sampling under continuous representation (RobNODDI) is proposed. Furthermore, long short-term memory (LSTM) units and fully connected layers are selected to learn continuous representation signals. To this end, we use a total of 100 subjects to conduct experiments based on the Human Connectome Project (HCP) dataset, of which 60 are used for training, 20 are used for validation, and 20 are used for testing. The test results indicate that RobNODDI improves the generalization performance and robustness of the deep learning model, enhancing the stability and flexibility of deep learning NODDI parameter estimatimation applications. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Deep learning

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Conceptualizing a desktop environment for cognitively challenged people 12

Conceptualizing a desktop environment for cognitively challe...

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International Information Technology Conference, CUBE 2012

作者： Kumar, Shiv Nath Baijal, Sagun Chourey, Leena Ramamurthy, Aparna Sasikumar, M. Center for Development of Advanced Computing Rain Tree Marg CBD-Belapur Navi Mumbai-400614 India Center for Development of Advanced Computing Anusandhan Bhawan C-56/1 Sector 62 Noida-201307 India Center for Development of Advanced Computing Pune University Campus Pune-411007 India

ISBN: (纸本)9781450311854

In India as well as in different parts of the world, a large section of society suffers from different kinds of disabilities. These difficulties impose certain constraints on people suffering with them in following their routine life as compared to normal persons. Of these difficulties, cognitive disability is one of the most difficult to address. This disability relates to different kinds of problems with brain like amnesia, learning disability, attention problems etc. The type and nature of problem may vary from person to person. Common symptoms like slow grasping, longer response time and distraction in nature have been identified by observing the affected users at various rehabilitation centers. Using ICT based solutions, life can be made better for such persons. Computers can assist them in different ways in rehabilitation and enhancing their quality of life. The aim of this paper is to highlight the issues and challenges faced by cognitively impaired persons in using computers and to propose solution(s) so that computer usage will be easy for them. An accessible desktop environment with relevant features is conceptualized that will help user in smooth interaction with computer without distraction. Specific features of the proposed desktop are focused primarily on memory and attention based issues and provides support for affected users, parents/caretakers and teachers. The proposed solution is validated with and impacts of design have been collected from the relevant stack holders such as end users, caretakers and *** enhancements are done on open source operating system environment and are available as open source. This paper discusses the system and the rationale for the various features incorporated. Copyright 2012 ACM.

关键词： Human computer interaction

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3D ANATOMICAL STRUCTURE-GUIDED DEEP LEARNING FOR ACCURATE DIFFUSION MICROSTRUCTURE IMAGING

arXiv

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arXiv 2025年

作者： Ma, Xinrui Cheng, Jian Fan, Wenxin Wu, Ruoyou Ye, Yongquan Wang, Shanshan Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Guangdong Shenzhen China University of Chinese Academy of Sciences Beijing China State Key Laboratory of Software Development Environment Beihang University Beijing China Key Laboratory of Data Science and Intelligent Computing Institute of International Innovation Beihang University Zhejiang Hangzhou China Pengcheng Laboratory Guangdong Shenzhen China United Imaging Healthcare HoustonTX United States

Diffusion magnetic resonance imaging (dMRI) is a crucial noninvasive technique for exploring the microstructure of the living human brain. Traditional hand-crafted and model-based tissue microstructure reconstruction methods often require extensive diffusion gradient sampling, which can be time-consuming and limits the clinical applicability of tissue microstructure information. Recent advances in deep learning have shown promise in microstructure estimation;however, accurately estimating tissue microstructure from clinically feasible dMRI scans remains challenging without appropriate constraints. This paper introduces a novel framework that achieves high-fidelity and rapid diffusion microstructure imaging by simultaneously leveraging anatomical information from macro-level priors and mutual information across parameters. This approach enhances time efficiency while maintaining accuracy in microstructure estimation. Experimental results demonstrate that our method outperforms four state-of-the-art techniques, achieving a peak signal-to-noise ratio (PSNR) of 30.51±0.58 and a structural similarity index measure (SSIM) of 0.97±0.004 in estimating parametric maps of multiple diffusion models. Notably, our method achieves a 15× acceleration compared to the dense sampling approach, which typically utilizes 270 diffusion gradients. © 2025, CC BY-NC-ND.

关键词： Tissue

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