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Integration Adapters are a fundamental part of an integration system, since they provide (business) applications access to its messaging channel. However, their modeling and configuration remain under-represented. In previous work, the…

软件工程 · 计算机科学 2015-03-09 Daniel Ritter , Manuel Holzleitner

The progression of communication in the Message Passing Interface (MPI) is not well defined, yet it is critical for application performance, particularly in achieving effective computation and communication overlap. The opaque nature of MPI…

分布式、并行与集群计算 · 计算机科学 2024-07-16 Hui Zhou , Robert Latham , Ken Raffenetti , Yanfei Guo , Rajeev Thakur

With the current emphasis on reproducibility and replicability, there is an increasing need to examine how data analyses are conducted. In order to analyze the between researcher variability in data analysis choices as well as the aspects…

统计计算 · 统计学 2020-11-17 Lucy D'Agostino McGowan , Sean Kross , Jeffrey T. Leek

The R-package REPPlab is designed to explore multivariate data sets using one-dimensional unsupervised projection pursuit. It is useful in practice as a preprocessing step to find clusters or as an outlier detection tool for multivariate…

统计计算 · 统计学 2024-09-10 Daniel Fischer , Alain Berro , Klaus Nordhausen , Anne Ruiz-Gazen

Consider a time slotted communication channel shared by $K$ active users and a single receiver. It is assumed that the receiver has the ability of the multiple-packet reception (MPR) to correctly receive at most $\gamma$ ($1 \leq \gamma <…

信息论 · 计算机科学 2014-09-29 Yijin Zhang , Yuan-Hsun Lo , Feng Shu , Wing Shing Wong

Message authentication guarantees the integrity of messages exchanged over untrusted channels. However, to achieve this goal, message authentication considerably expands packet sizes, which is especially problematic in constrained wireless…

密码学与安全 · 计算机科学 2022-05-20 Eric Wagner , Jan Bauer , Martin Henze

Approximate message passing (AMP) is an algorithmic framework for solving linear inverse problems from noisy measurements, with exciting applications such as reconstructing images, audio, hyper spectral images, and various other signals,…

信息论 · 计算机科学 2017-02-13 Junan Zhu , Ryan Pilgrim , Dror Baron

As the core of the Internet infrastructure, the TCP/IP protocol stack undertakes the task of network data transmission. However, due to the complexity of the protocol and the uncertainty of cross-layer interaction, there are often…

密码学与安全 · 计算机科学 2025-10-29 Yifan Wu , Xuewei Feng , Yuxiang Yang , Ke Xu

This document specifies the Relational Schema Protocol (RSP). RSP enables loosely coupled applications to share and exchange relational data. It defines fixed message format for an arbitrary relational schema so that the changes in the data…

数据结构与算法 · 计算机科学 2011-05-31 Vojtech Prehnal

The security evaluation for Mail Distribution Systems focuses on certification and reliability of sensitive data between mail servers. The need to certify the information conveyed is a result of known weaknesses in the simple mail transfer…

密码学与安全 · 计算机科学 2014-11-18 Antonis S. Rizopoulos , Dimitrios N. Kallergis , George N. Prezerakos

For researchers in electromyography (EMG), and similar biosginals, signal processing is naturally an essential topic. There are a number of excellent tools available. To these one may add the freely available open source statistical…

数据分析、统计与概率 · 物理学 2015-03-19 Frank Borg

In this article, we introduce the R package portes with extensive illustrative applications. The asymptotic distributions and the Monte Carlo procedures of the most popular univariate and multivariate portmanteau test statistics, including…

应用统计 · 统计学 2020-05-05 Esam Mahdi

This paper describes the R package imputeTestbench that provides a testbench for comparing imputation methods for missing data in univariate time series. The imputeTestbench package can be used to simulate the amount and type of missing…

统计方法学 · 统计学 2020-05-20 Neeraj Bokde , Kishore Kulat , Marcus W Beck , Gualberto Asencio-Cortés

Robust estimation provides essential tools for analyzing data that contain outliers, ensuring that statistical models remain reliable even in the presence of some anomalous data. While robust methods have long been available in R, users of…

统计计算 · 统计学 2024-11-05 Sarah Leyder , Jakob Raymaekers , Peter J. Rousseeuw , Thomas Servotte , Tim Verdonck

This paper describes and illustrates the functionality of the baker R package. The package estimates a suite of nested partially-latent class models (NPLCM) for multivariate binary responses that are observed under a case-control design.…

统计方法学 · 统计学 2022-02-25 Irena B Chen , Qiyuan Shi , Scott L Zeger , Zhenke Wu

Internet-wide scans are an important tool to evaluate the deployment of services. To enable large-scale application layer scans, a fast, stateless port scan (e.g., using ZMap) is often performed ahead of time to collect responsive targets.…

网络与互联网体系结构 · 计算机科学 2023-10-27 Patrick Sattler , Johannes Zirngibl , Mattijs Jonker , Oliver Gasser , Georg Carle , Ralph Holz

Like many groups considering the new programming language Julia, we faced the challenge of accessing the algorithms that we develop in Julia from R. Therefore, we developed the R package JuliaConnectoR, available from the CRAN repository…

数学软件 · 计算机科学 2021-03-31 Stefan Lenz , Maren Hackenberg , Harald Binder

Instant messaging services are quickly becoming the most dominant form of communication among consumers around the world. Apple iMessage, for example, handles over 2 billion message each day, while WhatsApp claims 16 billion messages from…

密码学与安全 · 计算机科学 2014-03-11 Scott Coull , Kevin Dyer

MDMP is a new parallel programming approach that aims to provide users with an easy way to add parallelism to programs, optimise the message passing costs of traditional scientific simulation algorithms, and enable existing MPI-based…

分布式、并行与集群计算 · 计算机科学 2013-04-30 Adrian Jackson , Par Strand

In this paper we describe the main featuress of the Bergm package for the open-source R software which provides a comprehensive framework for Bayesian analysis for exponential random graph models: tools for parameter estimation, model…

统计计算 · 统计学 2014-01-29 Alberto Caimo , Nial Friel