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14th ACM SIGCHI symposium on Engineering Interactive Computing Systems, EICS 2022

作者： Pietriga, Emmanuel Ilda Université Paris-Saclay CNRS Inria France

ISBN: (纸本)9781450390316

Ultra-high-resolution wall-sized displays feature a very high pixel density over a large physical surface, typically covering a few square meters. they provide effective support for collaborative work sessions that involve the visualization of large, heterogeneous datasets. But the development of interactive visualizations for ultra-high-resolution wall displays raises significant challenges. these range from the design of input techniques adapted to such surfaces, to the design of visualizations that effectively leverage their extreme display capacity. Challenges lie not only in the design but in the technical realization of these visualizations as well, as they run on computer clusters and thus require dedicated software frameworks for the distribution and synchronization of data and graphics. In this talk, I will essentially focus on challenges that relate to the engineering of interactive visualizations for cluster-driven wall displays, discussing different approaches that we explored over the last fourteen years to create geospatial visualizations and the associated multi-scale interaction techniques. © 2022 Owner/Author.

关键词： visualization

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Users impressions about visualization techniques in social networks context 15

Users impressions about visualization techniques in social n...

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14th Brazilian symposium on Human Factors in Computing Systems, IHC 2015

作者： Ghidini, Eduardo Did, Elisa Costa Guterres, João Pedro Dewes Roman, Greice De Carli Silveira, Milene Selbach PUCRS Faculdade de Informática Porto Alegre Brazil

ISBN: (纸本)9781450353625

this paper introduces a study to analyse the users impressions about different visualization techniques. To achieve this, we used the Spot tool, which provides a set of different visualization techniques to users with information retrieved from Twitter. this study was conducted with a sample of 7 Twitter users who have never used this tool before. We collected their impressions and interactions with the system on each visualization technique available. When running a qualitative analysis of the data gathered, an interesting set of results were found. Advantages and disadvantages for each visualization technique introduced were found by all users. this led us to a discussion on where each kind of those techniques would be better introduced or used. © 2015 Association for Computing Machinery.

关键词： Social networking (online)

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An analysis of multicast delivery with mobile receivers

An analysis of multicast delivery with mobile receivers

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14th IEEE International symposium on Personal, Indoor and Mobile Radio Communications

作者： Jelger, CS Noel, T Univ Strasbourg 1 UMR 7005 CNRS LSIIT F-67400 Illkirch Graffenstaden France

ISBN: (纸本)7505350668

the recent and increasing popularity of wireless transmission systems has initiated a strong interest in research on mobile communications. While most of this research effort focuses on unicast communications, there has also been a number of proposals to support multicasting with mobile members. However, the majority of these proposals, despite being innovative and elegant, remain at a research level, i.e. it is not clear if they could realistically be deployed in real large networks. In contrast, the IETF Mobile IP working group has outlined two realistic methods that allow mobile nodes to join multicast groups. these proposals have however never been evaluated and compared. this paper therefore presents the results of a large number of simulations in which we have compared the efficiency of the two IETF solutions. We also propose the use of a new extension of the Multicast Listener Delivery (MLD) protocol, which allows to rapidly resume the delivery of multicast data to a mobile receiver that has just performed a handover. the efficiency of this proposal is also compared with the already mentioned solutions of the IETF.

关键词： Multicasting

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Visual Insight of Spatiotemporal IoT-generated Contents 18

Visual Insight of Spatiotemporal IoT-generated Contents

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14th International Conference on Advanced Visual Interfaces (AVI)

作者： Lee, Jun Kim, Kyoung-Sook Lee, Ryong Lee, Sang-Hwan Natl Inst Adv Ind Sci & Technol Artificial Intelligence Res Ctr Tokyo Japan Korea Inst Sci & Technol Informat KISTI Res Data Hub Ctr Daejeon South Korea

ISBN: (纸本)9781450356169

the rapid evolution of the Internet of things (IoT) and Big data technology has been generating a large amount and variety of sensing contents, including numeric measured values (e.g., timestamps, geolocations, or sensor logs) and multimedia (e.g., images, audios, and videos). In analyzing and understanding heterogeneous types of IoT-generated contents better, data visualization is an essential component of exploratory data analyses to facilitate information perception and knowledge extraction. this study introduces a holistic approach of storing, processing, and visualizing IoT-generated contents to support context-aware spatiotemporal insight by combining deep learning techniques with a geographical map interface. visualization is provided under an interactive web-based user interface to help the an efficient visual exploration considering both time and geolocation by easy spatiotemporal query user interface'.

关键词： IoT-generated Contents Geovisualization Spatiotemporal analysis Deep Learning Object Detection

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14th BenchCouncil International symposium on Benchmarking, Measuring, and Optimizing, Bench 2023

14th BenchCouncil International Symposium on Benchmarking, M...

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14th BenchCouncil International symposium on Benchmarking, Measuring, and Optimizing, Bench 2023

ISBN: (纸本)9789819703159

the proceedings contain 11 papers. the special focus in this conference is on Benchmarking, Measuring, and Optimizing. the topics include: ICBench: Benchmarking Knowledge Mastery in Introductory Computer Science Education;generating High Dimensional Test data for Topological data analysis;Does AI for Science Need Another ImageNet or Totally Different Benchmarks? A Case Study of Machine Learning Force Fields;MolBench: A Benchmark of AI Models for Molecular Property Prediction;Cross-Layer Profiling of IoTBench;MMDBench: A Benchmark for Hybrid Query in Multimodal database;Benchmarking Modern databases for Storing and Profiling Very large Scale HPC Communication data;a Linear Combination-Based Method to Construct Proxy Benchmarks for Big data Workloads;AGIBench: A Multi-granularity, Multimodal, Human-Referenced, Auto-Scoring Benchmark for large Language Models.

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analysis of Labor Efforts and their Impact Factors to Solve Server Incidents in datacenters 14

Analysis of Labor Efforts and Their Impact Factors to Solve ...

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14th IEEE/ACM International symposium on Cluster, Cloud and Grid Computing (CCGrid)

作者： Giurgiu, Ioana Bogojeska, Jasmina Nikolaiev, Sergii Stark, George Wiesmann, Dorothea IBM Res Zurich CH-8803 Ruschlikon Switzerland IBM Global Technol Serv Armonk NY 10589 USA

ISBN: (纸本)9781479927845

A company's IT infrastructure delivers the basic hardware, networking, operating system, and middleware support to the business' applications. IT service providers perform incident and problem resolution, as well as user administration and change implementation required to maintain the availability and service provided for the business. As a result, they become increasingly challenged with delivering better, faster, and cheaper services to their customers. With the variety of incident tickets reported on a daily basis, understanding where and how much effort is spent to resolve them is critical. Moreover, analyzing the effort data identifies opportunities for self-service and automation, as well as what modernization strategies businesses should implement to reduce incident volumes and, by association, labor effort. In this paper, we conduct a large scale study on the incident and server factors that affect technician effort and quantify their impact. We show that the nature of the incidents and their complexity, the assigned support groups, as well as the underlying OS type play a major role in how much labor effort is spent towards resolving such tickets.

关键词： Servers Complexity theory Hardware Business Computer crashes Feature extraction data collection

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Grouping of Customer Opinions Written in Natural Language Using Unsupervised Machine Learning

Grouping of Customer Opinions Written in Natural Language Us...

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14th International symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

作者： Darena, Frantisek Zizka, Jan Burda, Karel Mendel Univ Brno Fac Business & Econ Dept Informat Brno Czech Republic

ISBN: (纸本)9780769549347;9781467350266

Among one of the current and most topical tasks in the area of textual documents processing belongs the problem of automatic categorization. Clustering as the most common form of unsupervised learning enables automatic grouping of unlabeled documents into subsets called clusters. In this paper, the authors are concerned with results of clustering of very large electronic real-world data collections containing customers' reviews written freely, in English as a natural language. the reviews are automatically clustered into two groups that should contain either positive or negative reviews. the paper focuses on the analysis why certain reviews are assigned wrongly to a group containing mostly reviews of a different class. the assignment of a review into a certain cluster is based on its properties, i.e., on the words that appeared in the review. thus, words appearing in incorrectly categorized reviews were analyzed. It was found that words that are important from the correct classification viewpoint (and thus bearing some sentiment) are often similarly important as the words in a different set than expected, therefore do not take effect as misleading information unlike words that are much more or quite insignificant.

关键词： cluster mining incorrect categorization textual data similarity customer opinion

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Query-by-Online Word Spotting Revisited: Using CNNs for Cross-Domain Retrieval 14

Query-by-Online Word Spotting Revisited: Using CNNs for Cros...

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14th IAPR International Conference on Document analysis and Recognition (ICDAR)

作者： Sudholt, Sebastian Rothacker, Leonard Fink, Gernot A. Tech Univ Dortmund Univ Dept Comp Sci D-44221 Dortmund Germany

ISBN: (纸本)9781538635865

A word spotting system is in large parts characterized by the query modalities it is able to process. the most common modalities here are Query-by-Example and Query-by-String. However, recently a new query type has been proposed: In Query-by-Online-Trajectory (QbO) the query is presented as a set of online-handwritten trajectories. In this work we devise a cross-domain word spotting framework using CNNs which is able to accomplish the QbO task. In particular, we design two different QbO systems which we evaluate in a number of experiments. We are not only able to outperform the current state of the art in QbO word spotting but also show that a system using a single CNN for both online and offline data achieves superior results compared to a system that uses a CNN for each domain individually.

关键词： Trajectory Hidden Markov models Histograms Image segmentation visualization Feature extraction Training

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Performance analysis of a file catalog for the LHC computing grid 05

Performance analysis of a file catalog for the LHC computing...

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14th IEEE International symposium on High Performance Distributed Computing, HPDC-14

作者： Baud, Jean-Philippe Casey, James Lemaitre, Sophie Nicholson, Caitriana CERN European Organization for Nuclear Research 1211 Geneva Switzerland University of Glasgow Glasgow G12 8QQ United Kingdom

ISBN: (纸本)0780390377

the large Hadron Collider (LHC) at CERN, the European Organization for Nuclear Research, will produce unprecedented volumes of data when it starts operation in 2007. To provide for its computational needs, the LHC Computing Grid (LCG) will be deployed as a worldwide computational grid service, providing the middleware upon which the physics analysis for the LHC will be carried out. In 2003, versions of this middleware were deployed which were based on the middleware produced by the European data Grid project (EDG). In 2004 the LCG-2 release, which consisted of the EDG middleware with some minor modifications, was deployed for use by the LHC experiments. A series of data challenges by these experiments were the first real experiment production use of LCG. During the course of the data challenges, many issues and problems were exposed which had not shown up in more limited tests. the deployment, service and development teams worked closely with the experiments to understand these issues and while some of the problems were solved during the data challenges, others exposed fundamental problems with the middleware as deployed in LCG-2. One of these fundamental problems was the performance under real load of the catalog component provided by EDG, the Replica Location Service. To solve these problems a new component was designed, the LCG File Catalog (LFC). the LFC moves away from the Replica Location Service model used in previous LCG releases, towards a hierarchical filesystem model which is more like a UNIX filesystem. It also adds missing functionality which was requested by the experiments. this paper presents the architecture and implementation of the LFC and evaluates it in a series of performance tests, with up to forty million entries and one hundred requesting threads from multiple clients. the results show good scalability up to the limits of these tests, and compare favourably with other Grid catalog implementations. ©2005 IEEE.

关键词： Distributed computer systems

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data-based latent variable methods for process analysis, monitoring and control

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COMPUTERS & CHEMICAL ENGINEERING 2005年第6期29卷 1217-1223页

作者： MacGregor, JF Yu, HL Muñoz, SG Flores-Cerrillo, J McMaster Univ Dept Chem Engn McMaster Adv Control Consortium Hamilton ON L8S 4L7 Canada

this paper gives an overview of methods for utilizing large process data matrices. these data matrices are almost always of less than full statistical rank, and therefore, latent variable methods are shown to be well suited to obtain useful subspace models from them for treating a variety of important industrial problems. An overview of the important concepts behind latent variable models is presented and the methods are illustrated with industrial examples in the following areas: (i) the analysis of historical databases and trouble-shooting process problems;(ii) process monitoring and FDI;(iii) extraction of information from novel multivariate sensors;(iv) process control in reduced dimensional subspaces. In each of these problems, latent variable models provide the framework on which solutions are based. (c) 2005 Elsevier Ltd. All rights reserved.

关键词： PCA PLS monitoring control digital imaging machine vision

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