scholarly journals HuBeRo - a Framework to Simulate Human Behaviour in Robot Research

2021 ◽  
pp. 31-38
Author(s):  
Jarosław Karwowski ◽  
Wojciech Dudek ◽  
Maciej Węgierek ◽  
Tomasz Winiarski
Keyword(s):  
Open Source ◽  
State Of The Art ◽  
Human Motion ◽  
Social Robots ◽  
Human Behaviour ◽  
Independent Control

Social robots' software is commonly tested in a simulation due to the safety and convenience reasons as well as an environment configuration repeatability assurance. An interaction between a robot and a human requires taking a person presence and his movement abilities into consideration. The purpose of the article is to present the HuBeRo framework, which can be used to simulate human motion behaviour. The framework allows independent control of each individual's activity, which distinguishes the presented approach from state-of-the-art, open-source solutions from the robotics domain. The article presents the framework assumptions, architecture and an example application with respect to presented scenarios.

Vesseg: An Open-Source Tool for Deep Learning-Based Atherosclerotic Plaque Quantification in Histopathology Image

2021 ◽  
Author(s):  
J.M. Murray ◽  
P. Pfeffer ◽  
R. Seifert ◽  
A. Hermann ◽  
J. Handke ◽  
...  
Keyword(s):  
Deep Learning ◽  
Open Source ◽  
Atherosclerotic Plaque ◽  
State Of The Art ◽  
The Mean ◽  
Time Savings ◽  
Plaque Quantification ◽  
Atherosclerosis Research ◽  
Hematoxylin Eosin ◽  
Microscopy Images

Objective: Manual plaque segmentation in microscopy images is a time-consuming process in atherosclerosis research and potentially subject to unacceptable user-to-user variability and observer bias. We address this by releasing Vesseg a tool that includes state-of-the-art deep learning models for atherosclerotic plaque segmentation. Approach and Results: Vesseg is a containerized, extensible, open-source, and user-oriented tool. It includes 2 models, trained and tested on 1089 hematoxylin-eosin stained mouse model atherosclerotic brachiocephalic artery sections. The models were compared to 3 human raters. Vesseg can be accessed at https://vesseg .online or downloaded. The models show mean Soerensen-Dice scores of 0.91±0.15 for plaque and 0.97±0.08 for lumen pixels. The mean accuracy is 0.98±0.05. Vesseg is already in active use, generating time savings of >10 minutes per slide. Conclusions: Vesseg brings state-of-the-art deep learning methods to atherosclerosis research, providing drastic time savings, while allowing for continuous improvement of models and the underlying pipeline.

scholarly journals OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings

2019 ◽  
Author(s):  
Christian Reul ◽  
Dennis Christ ◽  
Alexander Hartelt ◽  
Nico Balbach ◽  
Maximilian Wehner ◽  
...  
Keyword(s):  
Open Source ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
State Of The Art ◽  
Continuous Model ◽  
Error Rates ◽  
Printed Books ◽  
Model Training ◽  
Easy Integration ◽  
Main Components

Optical Character Recognition (OCR) on historical printings is a challenging task mainly due to the complexity of the layout and the highly variant typography. Nevertheless, in the last few years great progress has been made in the area of historical OCR, resulting in several powerful open-source tools for preprocessing, layout recognition and segmentation, character recognition and post-processing. The drawback of these tools often is their limited applicability by non-technical users like humanist scholars and in particular the combined use of several tools in a workflow. In this paper we present an open-source OCR software called OCR4all, which combines state-of-the-art OCR components and continuous model training into a comprehensive workflow. A comfortable GUI allows error corrections not only in the final output, but already in early stages to minimize error propagations. Further on, extensive configuration capabilities are provided to set the degree of automation of the workflow and to make adaptations to the carefully selected default parameters for specific printings, if necessary. Experiments showed that users with minimal or no experience were able to capture the text of even the earliest printed books with manageable effort and great quality, achieving excellent character error rates (CERs) below 0.5%. The fully automated application on 19th century novels showed that OCR4all can considerably outperform the commercial state-of-the-art tool ABBYY Finereader on moderate layouts if suitably pretrained mixed OCR models are available. The architecture of OCR4all allows the easy integration (or substitution) of newly developed tools for its main components by standardized interfaces like PageXML, thus aiming at continual higher automation for historical printings.

scholarly journals MINING EFFORT DATA FROM THE OSS REPOSITORY OF DEVELOPER’S BUG FIX ACTIVITY

2016 ◽  
Vol 3 (1) ◽  
pp. 107-128
Author(s):  
Syed Nadeem Ahsan ◽  
Muhammad Tanvir Afzal ◽  
Safdar Zaman ◽  
Christian Gütel ◽  
Franz Wotawa
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
State Of The Art ◽  
Tracking System ◽  
Previous History ◽  
Effort Estimation ◽  
Estimation Model ◽  
Activity Data ◽  
Actual Time ◽  
History Of

During the evolution of any software, efforts are made to fix bugs or to add new features in software. In software engineering, previous history of effort data is required to build an effort estimation model, which estimates the cost and complexity of any software. Therefore, the role of effort data is indispensable to build state-of-the-art effort estimation models. Most of the Open Source Software does not maintain any effort related information. Consequently there is no state-of-the-art effort estimation model for Open Source Software, whereas most of the existing effort models are for commercial software. In this paper we present an approach to build an effort estimation model for Open Source Software. For this purpose we suggest to mine effort data from the history of the developer’s bug fix activities. Our approach determines the actual time spend to fix a bug, and considers it as an estimated effort. Initially, we use the developer’s bug-fix-activity data to construct the developer’s activity log-book. The log-book is used to store the actual time elapsed to fix a bug. Subsequently, the log-book information is used to mine the bug fix effort data. Furthermore, the developer’s bug fix activity data is used to define three different measures for the developer’s contribution or expertise level. Finally, we used the bug-fix-activity data to visualize the developer’s collaborations and the involved source files. In order to perform an experiment we selected the Mozilla open source project and downloaded 93,607 bug reports from the Mozilla project bug tracking system i.e., Bugzilla. We also downloaded the available CVS-log data from the Mozilla project repository. In this study we reveal that in case of Mozilla only 4.9% developers have been involved in fixing 71.5% of the reported bugs.

Open Source Software in the Arab World

2016 ◽  
Vol 7 (1) ◽  
pp. 49-64
Author(s):  
Manar Abu Talib
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Significant Contribution ◽  
State Of The Art ◽  
Arab World ◽  
Arab Countries ◽  
Literature Survey ◽  
Survey Study ◽  
Road Map ◽  
The World

A literature survey study was conducted to explore the state-of-the-art of Open Source Software and the opportunities and challenges faced by this segment of the software industry in seven Arab countries — Tunisia, Egypt, Jordan, KSA, Qatar, Oman and UAE. A framework and road map for OSS is presented derived from interviews conducted in the UAE with at least four experts from each of the following categories: governments and ministries, IT companies, universities and IT enthusiasts. This is the first study of its kind in this part of the world and is expected to make a significant contribution to the direction for Open Source Software in the region and beyond.

scholarly journals Least Squares Optimization: From Theory to Practice

Robotics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 51 ◽  
Author(s):  
Giorgio Grisetti ◽  
Tiziano Guadagnino ◽  
Irvin Aloise ◽  
Mirco Colosi ◽  
Bartolomeo Della Corte ◽  
...  
Keyword(s):  
Computer Vision ◽  
Least Squares ◽  
Open Source ◽  
State Of The Art ◽  
Nonlinear Least Squares ◽  
Research Community ◽  
Specific Domain ◽  
Theory To Practice ◽  
Least Squares Optimization ◽  
Computer Vision Systems

Nowadays, Nonlinear Least-Squares embodies the foundation of many Robotics and Computer Vision systems. The research community deeply investigated this topic in the last few years, and this resulted in the development of several open-source solvers to approach constantly increasing classes of problems. In this work, we propose a unified methodology to design and develop efficient Least-Squares Optimization algorithms, focusing on the structures and patterns of each specific domain. Furthermore, we present a novel open-source optimization system that addresses problems transparently with a different structure and designed to be easy to extend. The system is written in modern C++ and runs efficiently on embedded systemsWe validated our approach by conducting comparative experiments on several problems using standard datasets. The results show that our system achieves state-of-the-art performances in all tested scenarios.

scholarly journals Haplotype threading: accurate polyploid phasing from long reads

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Sven D. Schrinner ◽  
Rebecca Serra Mari ◽  
Jana Ebler ◽  
Mikko Rautiainen ◽  
Lancelot Seillier ◽  
...  
Keyword(s):  
Open Source ◽  
Evolutionary History ◽  
State Of The Art ◽  
Regions Of Interest ◽  
Breeding Strategies ◽  
Polyploid Species ◽  
Two Stage ◽  
Long Reads ◽  
History Of ◽  
Genomic Regions

Abstract Resolving genomes at haplotype level is crucial for understanding the evolutionary history of polyploid species and for designing advanced breeding strategies. Polyploid phasing still presents considerable challenges, especially in regions of collapsing haplotypes.We present WhatsHap polyphase, a novel two-stage approach that addresses these challenges by (i) clustering reads and (ii) threading the haplotypes through the clusters. Our method outperforms the state-of-the-art in terms of phasing quality. Using a real tetraploid potato dataset, we demonstrate how to assemble local genomic regions of interest at the haplotype level. Our algorithm is implemented as part of the widely used open source tool WhatsHap.

Open Source Software in the Arab World

2020 ◽  
pp. 1646-1663
Author(s):  
Manar Abu Talib
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
State Of The Art ◽  
Software Industry ◽  
Arab World ◽  
Arab Countries ◽  
Literature Survey ◽  
Survey Study ◽  
Road Map ◽  
The World

A literature survey study was conducted to explore the state-of-the-art of Open Source Software and the opportunities and challenges faced by this segment of the software industry in seven Arab countries — Tunisia, Egypt, Jordan, KSA, Qatar, Oman and UAE. A framework and road map for OSS is presented derived from interviews conducted in the UAE with at least four experts from each of the following categories: governments and ministries, IT companies, universities and IT enthusiasts. This is the first study of its kind in this part of the world and is expected to make a significant contribution to the direction for Open Source Software in the region and beyond.

Measuring impedance using an open-source instrumentation platform

2018 ◽  
Vol 55 (2) ◽  
pp. 168-185
Author(s):  
Urban Burnik ◽  
Dejan Križaj ◽  
Zumret Topčagić ◽  
Marko Meža
Keyword(s):  
Open Source ◽  
Electrical Impedance ◽  
State Of The Art ◽  
The State ◽  
Impedance Measurements ◽  
Engineering Knowledge ◽  
Art Analysis ◽  
Lcr Meter

The article presents development and design of a precision LCR meter based on an affordable open-source instrumentation platform. The design of the instrument has been performed by an interdisciplinary group of students. A project-based approach has been used in order to make a practical use of engineering knowledge within the group of participants. The results cover all the necessary project results achieved by the participants from the state-of-the art analysis in the domain of LCR meters to dissemination of project results. These may serve as a guide for similar project specifications. Alternatively, the presented results may be used in preparing student assignments in electrical impedance measurements based on affordable hardware.

scholarly journals Grand challenges in model-driven engineering: an analysis of the state of the research

2020 ◽  
Vol 19 (1) ◽  
pp. 5-13 ◽  
Author(s):  
Antonio Bucchiarone ◽  
Jordi Cabot ◽  
Richard F. Paige ◽  
Alfonso Pierantonio
Keyword(s):  
Open Source ◽  
State Of The Art ◽  
The State ◽  
Model Driven Engineering ◽  
Grand Challenges ◽  
Model Driven ◽  
New Challenges ◽  
State Of Practice ◽  
State Of Research ◽  
Research Initiatives

AbstractIn 2017 and 2018, two events were held—in Marburg, Germany, and San Vigilio di Marebbe, Italy, respectively—focusing on an analysis of the state of research, state of practice, and state of the art in model-driven engineering (MDE). The events brought together experts from industry, academia, and the open-source community to assess what has changed in research in MDE over the last 10 years, what challenges remain, and what new challenges have arisen. This article reports on the results of those meetings, and presents a set of grand challenges that emerged from discussions and synthesis. These challenges could lead to research initiatives for the community going forward.

A Commit Messages-Based Bug Localization for Android Applications

2019 ◽  
Vol 29 (04) ◽  
pp. 457-487 ◽  
Author(s):  
Tao Zhang ◽  
Wenjun Hu ◽  
Xiapu Luo ◽  
Xiaobo Ma
Keyword(s):  
Open Source ◽  
Software Maintenance ◽  
State Of The Art ◽  
Bug Localization ◽  
Two Phase ◽  
Android Apps ◽  
Bug Reports ◽  
Android Applications ◽  
The Given ◽  
General Method

Recently, there has been consistent growth in Android applications (apps). Under these circumstances, software maintenance for Android apps becomes an essential and important task. The core of software maintenance is to locate bugs in source files. Previous bug localization approaches mainly focus on open-source desktop software (e.g. Eclipse, Mozilla, GCC). Even though a few studies locate the bugs in the Android apps, they are dedicated to a special app named ZXing, without developing a general method to locate the bugs in Android apps by taking into account the unique characteristics of Android apps’ bug reports. Such characteristics include fewer number of historical bug reports, insufficient detailed description, etc. These characteristics hinder existing localization approaches from being directly delivered to Android apps, because lack of enough information degrades the performance of those localization approaches relying on historical bug reports. Commit messages include more informative data which can provide the details of reported bugs. Therefore, in this paper, we propose a novel information retrieval-based approach which utilizes commit messages to locate new bugs in Android apps. This approach not only considers the structured textual similarity between the given bug and the candidate source files, but also computes the unstructured textual similarities between the new bug and the commit messages linked to the corresponding source files. According to the experimental results on 10 popular open-source Android apps managed by GitHub, our approach outperforms the state-of-the-art bug localization methods that include BugLocator, BLUiR, and two-phase model.

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