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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…

Software Engineering · Computer Science 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…

Distributed, Parallel, and Cluster Computing · Computer Science 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…

Computation · Statistics 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…

Computation · Statistics 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 <…

Information Theory · Computer Science 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…

Cryptography and Security · Computer Science 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,…

Information Theory · Computer Science 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…

Cryptography and Security · Computer Science 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…

Data Structures and Algorithms · Computer Science 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…

Cryptography and Security · Computer Science 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…

Data Analysis, Statistics and Probability · Physics 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…

Applications · Statistics 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…

Methodology · Statistics 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…

Computation · Statistics 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.…

Methodology · Statistics 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.…

Networking and Internet Architecture · Computer Science 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…

Mathematical Software · Computer Science 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…

Cryptography and Security · Computer Science 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…

Distributed, Parallel, and Cluster Computing · Computer Science 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…

Computation · Statistics 2014-01-29 Alberto Caimo , Nial Friel