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10th international Conference on Computer and Knowledge Engineering, ICCKE 2020

作者： Risheh, Ali Goharfar, Ashkan Javan, Nastooh Taheri AmirKabir university Artificial Intelligence Laboratory Tehran Iran

ISBN: (纸本)9781728185668

Non-linear mapping is one of the most popular solutions for complex data structures and distinct patterns to cluster data. Auto encoder Networks (AENs) are widely used in clustering as they improve data representation. In this paper, we collect *** data by crawling popular websites profiles, where dataset has 84 columns with type number and array of words. Next, an AEN architecture is presented to identify specific websites with exceptional patterns and the encoded data expresses new feature space of our original data. (Our) Encoded data is clustered by Affinity Propagation which is a partitioning algorithm without the need for specifying the number of clusters. there are important results based on 194 clusters and exemplars which are filtered and analyzed. One remarkable fact about results is that the first 11 columns as raw data are not clustered by Affinity Propagation a which re considered all as outlier. the results are summarized by selecting the best option w.r.t. the statistics and charts. Some of the obtained results are useful for website owners and provide some suggestions and solutions for Search Engine Optimization (SEO). Finally, we propose our crawler application which crawls and records data over 4 days. It must be added that the proposed web crawler faces challenges and their solutions can be helpful in most commonly used web crawling algorithms and libraries. © 2020 IEEE.

关键词： Websites

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Damage Identification Using Acoustic Emission data Obtained from Large Composite structures 10

Damage Identification Using Acoustic Emission Data Obtained ...

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10th international workshop on Structural Health Monitoring (IWSHM)

作者： Awerbuch, Jonathan Ozevin, Didem Khanolkar, Amey Tan, Tein-Min Drexel Univ Dept Mech Engn Sacramento CA 95820 USA Univ Illinois Dept Civil & Mat Engn Chicago IL 60607 USA Univ Washington Mech Engn Seattle WA 98195 USA

ISBN: (纸本)9781605952758

Acoustic emission was implemented to monitor damage initiation and its progression in a full-scale Pultruded Rod Stitched Efficient Unitized Structure (PRSEUS) carbon/epoxy fuselage panel subjected to combined loading of internal pressure and axial load. Prior to panel fracture, emission was generated at a very high rate, with a significant amount of emission apparently generated by fretting among the nearly infinite newly formed fracture surfaces. the separation of burst type waveforms (i.e., which are caused by actual new damage) and emission caused from extraneous sources is demonstrated. the effect of high rate of emission on the corresponding AE signal features is demonstrated. It is shown that the high rate of failure in composites is an added difficulty for damage source identification, which the current AE methodology needs to address.

关键词： Fracture

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New Fast algorithms for Elliptic Curve Arithmetic in Affine Coordinates 10th

New Fast Algorithms for Elliptic Curve Arithmetic in Affine ...

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10th international workshop on Security (IWSEC)

作者： Yu, Wei Kim, Kwang Ho Jo, Myong Song Chinese Acad Sci Inst Informat Engn Beijing 100093 Peoples R China Chinese Acad Sci Data Assurance & Commun Secur Res Ctr Beijing 100093 Peoples R China Natl Acad Sci Inst Math Dept Algebra & Geometry Pyongyang North Korea KumSong Sch Pyongyang North Korea

ISBN: (纸本)9783319224251;9783319224244

We present new algorithms computing 3P and 2P + Q by removing the same part of numerators and denominators of their formulas, given two points P and Q on elliptic curves defined over prime fields and binary fields in affine coordinates. Our algorithms save one or two field multiplications compared with ones presented by Ciet, Joye, Lauter, and Montgomery. Since 2P + Q takes 1 3 proportion, 28.5% proportion, and 25.8% proportion of all point operations by non-adjacent form, binary/ternary approach and tree approach to compute scalar multiplications respectively, 3P occupies 42.9% proportion and 33.4% proportion of all point operations by binary/ternary approach and tree approach to compute scalar multiplications respectively, utilizing our new formulas of 2P + Q and 3P, scalar multiplications by using non-adjacent form, binary/ternary approach and tree approach are improved.

关键词： Elliptic curve Double-base number system Elliptic curve arithmetic Scalar multiplication

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Multi-sensors fusion approach for driver assistance systems

Multi-sensors fusion approach for driver assistance systems

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10th IEEE international workshop on Robot and Human Interactive Communication

作者： Gruyer, D Mangeas, M Alix, R LIVIC Unite Mixte INRETS LCPC Lab Interact Vehicules Infrastruct Conducteurs F-78000 Versailles France

ISBN: (纸本)0780372220

Our research enters into the design of perception devices for intelligent vehicles. this device is supposed to be a piece of new driving assistance systems aiming at increasing the safety on road. the European project PROMEthEUS created in 1988, has emphasized the problem of the interaction between the driver and the vehicle via the driver assistance system 111, this project has been the precursor of several other projects linked to intelligent vehicles. Especially, the European project named CARSENSE [2] involves 11 manufacturers and researchers from the car domain. the purpose of this project is to develop a multi-sensors device which would provide reliable data of the front vehicle environment. At last, this system should help to design some safety assistance systems such an obstacle avoidance module or a semi-autonomous driving assistance at low speed. Our work takes a full part of designing and development of the CARSENSE fusion system box. We are particularly interested in data fusion algorithms giving to the driver some accurate and above all reliable and pertinent information with regard to the current driving situation. In order to deal with information reliability, we have designed a perception algorithm that combines some tools dealing simultaneously with the inaccuracy and uncertainty of dynamic environment representation.

关键词： multi-object tracking data association multisensor fusion belief theory uncertainty modelling

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data Partitioning Effects in Federated Learning 10

Data Partitioning Effects in Federated Learning

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10th workshop on Software Quality Analysis, Monitoring, Improvement, and Applications, SQAMIA 2023

作者： Ahmadzai, Mirwais Nguyen, Giang Faculty of Informatics and Information Technologies STU in Bratislava Ilkovičova 2 Bratislava84216 Slovakia

Federated learning is a potential ML approach that promotes cooperative learning among many distributed systems while ensuring data privacy. In this study, we present a wide review of the design and evaluation of FL, with a particular focus on data partitioning. We discuss the challenges and solutions associated with FL implementation and demonstrate the design and execution of our proposed FL architecture. the main contribution of this paper is an investigation of data partitioning in FL and its impact on system performance. Using real-world public opinion data, we evaluate our proposed FL architecture and investigate performance measures such as binary accuracy, F1 score, loss, communication overhead, and data transmission between the server and clients. the experimental results provide useful information on the effective use of FL in various contexts. We underline the distinct advantages of various data partitioning algorithms based on data distribution and privacy requirements. Our findings contribute to the creation of successful FL systems that protect privacy. © 2023 Copyright for this paper by its authors.

关键词： Architecture data Partitioning Design Evaluation Federated Learning Implementation

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Visualizing class structure in data using mutual information

Neural Networks for Signal Processing - Proceedings of the I...

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Neural Networks for Signal Processing - Proceedings of the IEEE workshop 2000年 1卷 376-385页

作者： Torkkola, Kari Motorola Lab Tempe United States

We study linear dimension reducing transforms using maximum mutual information between transformed data and class labels as the criterion to learn the transforms. Renyi's quadratic entropy provides a differentiable and computationally feasible criterion on which gradient ascent algorithms can be based without the limitations of methods using only second order statistics, such as PCA or LDA. Application to class structure visualization in exploratory data analysis is presented.

关键词： data structures

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Structure simulation with calculated NMR parameters-integrating COSMOS into the CCPN framework

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10th HealthGrid Conference and the 4th international workshop on Science Gateways for Life Sciences, IWSG-Life 2012

作者： Schneider, Olaf Fogh, Rasmus H. Sternberg, Ulrich Klenin, Konstantin Kondov, Ivan Karlsruhe Institute of Technology Steinbuch Centre for Computing Hermann-von-Helmholtz-Platz 1 76344 Eggenstein-Leopoldshafen Germany Department of Biochemistry University of Cambridge United Kingdom Institute of Biological Interfaces Karlsruhe Institute of Technology Germany

ISBN: (纸本)9781614990536

the Collaborative Computing Project for NMR (CCPN) has build a software framework consisting of the CCPN data model (with APIs) for NMR related data, the CcpNmr Analysis program and additional tools like CcpNmr FormatConverter. the open architecture allows for the integration of external software to extend the abilities of the CCPN framework with additional calculation methods. Recently, we have carried out the first steps for integrating our software Computer Simulation of Molecular structures (COSMOS) into the CCPN framework. the COSMOS-NMR force field unites quantum chemical routines for the calculation of molecular properties with a molecular mechanics force field yielding the relative molecular energies. COSMOS-NMR allows introducing NMR parameters as constraints into molecular mechanics calculations. the resulting infrastructure will be made available for the NMR community. As a first application we have tested the evaluation of calculated protein structures using COSMOS-derived 13C Cα and Cβ chemical shifts. In this paper we give an overview of the methodology and a roadmap for future developments and applications. © 2012 the authors and IOS Press. All rights reserved.

关键词： Electronic data interchange

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An Annotated Corpus and Method for Analysis of Ad-Hoc structures Embedded in Text 10

An Annotated Corpus and Method for Analysis of Ad-Hoc Struct...

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10th international Conference on Language Resources and Evaluation (LREC)

作者： Yeh, Eric Niekrasz, John Freitag, Dayne Rohwer, Richard SRI Int 333 Ravenswood Ave Menlo Pk CA 94025 USA

ISBN: (纸本)9782951740891

We describe a method for identifying and performing functional analysis of structured regions that are embedded in natural language documents, such as tables or key-value lists. Such regions often encode information according to ad hoc schemas and avail themselves of visual cues in place of natural language grammar, presenting problems for standard information extraction algorithms. Unlike previous work in table extraction, which assumes a relatively noiseless two-dimensional layout, our aim is to accommodate a wide variety of naturally occurring structure types. Our approach has three main parts. First, we collect and annotate a a diverse sample of "naturally" occurring structures from several sources. Second, we use probabilistic text segmentation techniques, featurized by skip bigrams over spatial and token category cues, to automatically identify contiguous regions of structured text that share a common schema. Finally, we identify the records and fields within each structured region using a combination of distributional similarity and sequence alignment methods, guided by minimal supervision in the form of a single annotated record. We evaluate the last two components individually, and conclude with a discussion of further work.

关键词： table recognition semistructured data information extraction

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MemFriend: Understanding Memory Performance with Spatial-Temporal Affinity 24

MemFriend: Understanding Memory Performance with Spatial-Tem...

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10th international Symposium on Memory Systems

作者： Suriyakumar, Yasodha Tallent, Nathan R. Marquez, Andres Karavanic, Karen L. Kilic, Ozgur O. Portland State Univ Portland OR 97207 USA Pacific Northwest Natl Lab Richland WA 99352 USA Brookhaven Natl Lab Upton NY 11973 USA

ISBN: (纸本)9798400710919

In HPC applications, memory access behavior is one of the main factors affecting performance. Improving an application's memory access behavior requires studying spatial-temporal data locality. Existing data locality analyses focus on single locations. We introduce locality metrics between pairs of memory locations that quantify three dimensions of spatial-temporal affinity: temporal access proximity, forward access correlation, and nearby access correlation. We describe methods for distinguishing between potential vs. realized affinity and for reasoning about affinity (or friendship) at multiple resolutions (4D, 3D, 2D, 1D). Finally, we construct spatial-temporal affinity signatures that classify memory behavior and are used to reason about changes in software (data relayout, code refactoring) or hardware (caching, prefetching). We describe methods for signature visualization, interpretation, and quantitative comparison of signatures. We evaluate our methodology using applications with variants that contrast data structures, data layouts and algorithms. We show that spatial-temporal affinity analysis provides novel insights and enables predictive reasoning about application performance.

关键词： data locality spatial-temporal affinity memory access patterns affinity signature application performance

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Proximity structures for geometric graphs

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8th international workshop on algorithms and data structures, WADS 2003

作者： Kapoor, Sanjiv Li, Xiang-Yang Department of Computer Science Illinois Institute of Technology 10 W. 31st Street ChicagoIL60616 United States

ISBN: (纸本)3540405453

In this paper we study proximity structures like Delauney triangulations based on geometric graphs, i.e. graphs which are subgraphs of the complete geometric graph. Given an arbitrary geometric graph G, we define several restricted Voronoi diagrams, restricted Delaunay triangulations, relative neighborhood graphs, Gabriel graphs and then study their complexities when G is a general geometric graph or G is some special graph derived from the application area of wireless networks. Besides being of fundamental interest these structures have applications in topology control for wireless networks. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Wireless networks

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