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Time-varying multivariate volume data reduction 05

Time-varying multivariate volume data reduction

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20th Annual acm symposium on applied computing

作者： Fout, Nathaniel Ma, Kwan-Liu Ahrens, James Department of Computer Science University of California Davis Advanced Computing Laboratory Los Alamos National Laboratory

ISBN: (纸本)9781581139648

Large-scale supercomputing is revolutionizing the way science is conducted. A growing challenge, however, is understanding the massive quantities of data produced by largescale simulations. the data, typically time-varying, multivariate, and volumetric, can occupy from hundreds of gigabytes to several terabytes of storage space. Transferring and processing volume data of such sizes is prohibitively expensive and resource intensive. Although it may not be possible to entirely alleviate these problems, data compression should be considered as part of a viable solution, especially when the primary means of data analysis is volume rendering. In this paper we present our study of multivariate compression, which exploits correlations among related variables, for volume rendering. Two configurations for multidimensional compression based on vector quantization are examined. We emphasize quality reconstruction and interactive rendering, which leads us to a solution using graphics hardware to perform on-the-fly decompression during rendering. Copyright 2005 acm.

关键词： Data reduction

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Component-based metrics applying the strength of dependency between classes 09

Component-based metrics applying the strength of dependency ...

引用

24th Annual acm symposium on applied computing, SAC 2009

作者： Choi, Misook Kim, Injoo J. Hong, Jiman Kim, Jungyeop Research Institute for Basis and Nature Science Woosuk University Korea Republic of Computer and Information Science Department East-West University Chicago IL 60605 United States School of Computing Soongsil University Seoul Korea Republic of Computer Science Department Utica College Utica NY 13502 United States

ISBN: (纸本)9781605581668

Component-Based Development (CBD) is an emerging discipline for promoting practical reuse of software. In CBD, by building new software with independently developed components, we can gain the benefits promised by the software reuse such as quality improvement and rapid development. Accordingly, to improve quality of components, we propose the component-based metrics applying the strength of dependency between classes to measure precisely. In addition, we prove the theoretical soundness of the proposed metrics by the axioms of Briand et al. and suggest the accuracy and practicality of the proposed metrics through a comparison with the conventional metrics in component development phase. Copyright 2009 acm.

关键词： Computer software reusability

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Distributed dynamic data driven prediction based on reinforcement learning approach 13

Distributed dynamic data driven prediction based on reinforc...

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28th Annual acm symposium on applied computing, SAC 2013

作者： Lin, Szu-Yin Chao, Kuo-Ming Lo, Chi-Chun Godwin, Nick Institute of Information Management National Chiao-Tung University Hsin-Chu Taiwan Faculty of Computing and Engineering Coventry University Coventry United Kingdom

ISBN: (纸本)9781450316569

In this paper, we propose a new distributed dynamic data driven model and strategy to direct and evaluate the interlinked data sets in Dynamic Data Driven Application Systems (DDDAS). the underlying technique is the introduction of a reinforcement Q-Learning approach including search strategies to determine how to drill and drive a series of highly dependent data in order to increase prediction accuracy and efficiency. In simulation, the new model utilizes individual sensors, distributed databases, and predictors in Dynamic Data Stream Nodes with multiple dimensional variables which can be instantiated to explore the search space, so that search convergence can be improved. We show the effectiveness and applicability of using the technique in the analysis of typhoon rainfall data. the result shows that the proposed approach performed better than traditional linear regression approaches, reducing the error rate by 30. 48%. Copyright 2013 acm.

关键词： Reinforcement learning

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Prom-oogle: Data mining and integration of on-line databases to discover gene promoters 10

Prom-oogle: Data mining and integration of on-line databases...

引用

25th Annual acm symposium on applied computing, SAC 2010

作者： Cheng, Dean Sheldon, John Marcet-Palacios, Marcelo Zaïane, Osmar R. Department of Computing Science University of Alberta Canada Department of Medicine University of Alberta Canada

ISBN: (纸本)9781605586380

the vast number of on-line biological and medical databases available can be a great resource for biomedical researchers. However, the different types of data and interfaces available can be overwhelming for many biomedical researchers to learn and make effective use of. Moreover, the available resources lack needed integration. Here we focus on an important task in medical research: to provide researchers with promoter analysis for a given gene. Prom-oogle is a web based data mining tool that provides a means for researchers to take a gene name of interest and obtain its promoter sequence in return after automatic integration of text databases. Additionally, the program is capable of returning multiple promoters from different genes allowing researchers to study how promoters regulate genes. this tool facilitates the process of acquiring information on a promoter and may lead to interesting discoveries. © 2010 acm.

关键词： Genes

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Brief Announcement: Making Synchronous BFT Protocols Secure in the Presence of Mobile Sluggish Faults 21

Brief Announcement: Making Synchronous BFT Protocols Secure ...

引用

40th acm SIGACT-SIGOPS symposium on Principles of Distributed computing (PODC)

作者： Kim, Justin Mehta, Vandan Nayak, Kartik Shrestha, Nibesh Montgomery High Sch Santa Rosa CA 95405 USA Rutgers State Univ New Brunswick NJ USA Duke Univ Durham NC 27706 USA Rochester Inst Technol Rochester NY 14623 USA

ISBN: (纸本)9781450385480

BFT protocols in the synchronous setting rely on a strong assumption: every message sent by a party will arrive at its destination within a known bounded time. To allow some degree of asynchrony while still tolerating a minority corruption, recently, in Crypto'19, a weaker synchrony assumption called mobile sluggish faults was introduced. In this work, we investigate the support for mobile sluggish faults in existing synchronous protocols such as Dfinity, Streamlet, Sync HotStuff, OptSync and the optimal latency BFT protocol. We identify key principles that can be used to "compile" these synchronous protocols to tolerate mobile sluggish faults.

关键词： Distributed computing Byzantine Fault Tolerance Weak Synchrony

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Implicit relevance feedback for context-aware information retrieval in UbiLearning environments 09

Implicit relevance feedback for context-aware information re...

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24th Annual acm symposium on applied computing, SAC 2009

作者： Martins, Diogo S. Biajiz, Mauro Do Prado, Antonio F. De Souza, Wanderley L. Ubiquitous Computing Group Departamento de Computação Universidade Federal de São Carlos São Carlos - SP Brazil

ISBN: (纸本)9781605581668

Ubiquitous Learning (UbiLearning) environments heavily employ mobile devices to empower users with mobility and tooling support to learn anytime, anywhere. Introducing mobile devices in educational settings imposes constraints on search behavior due to limited resources on these devices such as small screens and restricted input functionalities. Targeting this scenario, this paper proposes an architecture for implicit relevance feedback which considers users' work context to expand search queries in order to satisfy information needs with greater precision. Evaluation results conducted over a local test collection enriched with contextual features reveal improvements on average precision when compared to a pseudo relevance feedback baseline. Copyright 2009 acm.

关键词： Information retrieval

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Seattle: A platform for educational cloud computing 09

Seattle: A platform for educational cloud computing

引用

40th acm Technical symposium on Computer Science Education, SIGCSE 2009

作者： Cappos, Justin Beschastnikh, Ivan Krishnamurthy, Arvind Anderson, Tom Department of Computer Science and Engineering University of Washington Seattle WA 98105 United States

ISBN: (纸本)9781605585048

Cloud computing is rapidly increasing in popularity. Companies such as RedHat, Microsoft, Amazon, Google, and IBM are increasingly funding cloud computing infrastructure and research, making it important for students to gain the necessary skills to work with cloud-based resources. this paper presents a free, educational research platform called Seattle that is community-driven, a common denominator for diverse platform types, and is broadly deployed. Seattle is community-driven - universities donate available compute resources on multi-user machines to the platform. these donations can come from systems with a wide variety of operating systems and architectures, removing the need for a dedicated infrastructure. Seattle is also surprisingly flexible and supports a variety of pedagogical uses because as a platform it represents a common denominator for cloud computing, grid computing, peer-to-peer networking, distributed systems, and networking. Seattle programs are portable. Students' code can run across different operating systems and architectures without change, while the Seattle programming language is expressive enough for experimentation at a fine-grained level. Our current deployment of Seattle consists of about one thousand computers that are distributed around the world. We invite the computer science education community to employ Seattle in their courses. © 2009 acm.

关键词： Cluster computing

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RetriBlog: A framework for creating blog crawlers 12

RetriBlog: A framework for creating blog crawlers

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27th Annual acm symposium on applied computing, SAC 2012

作者： Ferreira, Rafael Lima, Rinaldo Melo, Jean Costa, Evandro Freitas, Fred Pacca, Henrique Informatics Center Federal University of Pernambuco Recife Brazil Computing Institute Federal University of Alagoas Maceió Brazil

ISBN: (纸本)9781450308571

Blogs are becoming an important social tool. By means of blogs, bloggers share their likes and dislikes, express their opinions, report news and form groups related to some subjects. thus, the available information on the Blogsphere can certainly helps in the creation of interesting applications in various domains, such as e-learning, e-commerce, and e-government. However, due to the increasing number of blogs posted every day on the Web, and the dynamic nature of the Blogsphere, the tasks of collecting and extracting relevant information from blogs have become hard and time consuming. In this paper, we use techniques both from information retrieval and information extraction fields to deal with this problem. Since the blogs have many points of variability it is necessary to provide applications that can be easily adapted. We present the RetriBlog system, a framework for the development of blog crawlers dealing the variations in blogs. this paper presents the RetriBlog details and an evaluation of the proposed algorithms. © 2012 acm.

关键词： Blogs

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Automatic Extraction of Effective Relations in Knowledge Graph for a Recommendation Explanation System 23

Automatic Extraction of Effective Relations in Knowledge Gra...

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38th Annual acm symposium on applied computing, SAC 2023

作者： Luo, Shi-Jun Han, Hyoil Chang, Qiong Miyazaki, Jun School of Computing Tokyo Institute of Technology Tokyo Japan School of Information Technology Illinois State University NormalIL United States

ISBN: (纸本)9781450395175

A knowledge graph represents a network of real-world entities (i.e., objects, events, or concepts) and illustrates the relationship between entities. A recommender system can improve its reasoning and explainability using the knowledge graph. In this paper, we propose a hybrid and modular approach that combines path ranking with graph embedding;it can automatically eliminate the ineffective relations among entities and generate a better relation set for the explanation system. We conducted a user survey for performance evaluation and proved that our proposed approach provided the same quality of explanations for recommended items as our previous approach, which manually selected relations from the knowledge graph. © 2023 acm.

关键词： Recommender systems

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Improving functional verification of embedded systems using hierarchical composition and set theory 09

Improving functional verification of embedded systems using ...

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24th Annual acm symposium on applied computing, SAC 2009

作者： Rodrigues, Cássio L. Da Silva, Karina R. G. Cunha, Henrique N. Departament of Systems and Computing Federal University of Campina Grande Campina Grande - PB Brazil School of Electrical and Computer Engineering Federal University of Goiás Goiânia - GO Brazil

ISBN: (纸本)9781605581668

During functional verification, complex interactions between multiple modules that compose a digital circuit design can reveal hard-to-find bugs. Functional coverage specifications must be precise to assure these interactions occur during the simulation. We are proposing a technique for improving the functional verification specification of individual modules, preserving the occurrence of these interactions scenarios in the composition phase. We obtain these new specifications in a deductive way, by means of set theory. Using experimental results, we show how our work can contribute to error detection and save functional verification time. Copyright 2009 acm.

关键词： Set theory

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