scholarly journals Development and Comparative Analysis of Geospatial Feature Automatic Extraction System in Open-source Environment

2021 ◽  
Vol 33 (11) ◽  
pp. 3729
Author(s):  
Dong Gook Lee ◽  
Ji Ho You ◽  
Hyun Jik Lee
Keyword(s):  
Comparative Analysis ◽  
Open Source ◽  
Extraction System ◽  
Automatic Extraction

Comparative analysis on flow over cylinder between commercial code and open source algorithm

2017 ◽  
Author(s):  
Zulaikha Asyiqin Nur Azri ◽  
Ishkrizat Taib ◽  
Azmahani Sadikin ◽  
Muhammad Sufyan Amir Paisal ◽  
Akmal Nizam Mohammed ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Open Source ◽  
Commercial Code ◽  
Flow Over Cylinder

Automatic Extraction of Events from Open Source Text for Predictive Forecasting

2012 ◽  
pp. 51-67 ◽  
Author(s):  
Elizabeth Boschee ◽  
Premkumar Natarajan ◽  
Ralph Weischedel
Keyword(s):  
Open Source ◽  
Automatic Extraction ◽  
Source Text

scholarly journals TIMELINESS OF NATIONAL ARMED FORCE PERSONNEL’S TRAINING IN THE FIELD OF BORDER SURVEILLANCE IN THE VIEW OF COOPERATION BETWEEN NATIONAL ARMED FORCES AND STATE BORDER GUARD

2020 ◽  
Vol 3 (8) ◽  
pp. 6-14
Author(s):  
Valentīns Buls ◽  
Oļegs Ignatjevs
Keyword(s):  
Comparative Analysis ◽  
Open Source ◽  
Terrorist Attack ◽  
Armed Forces ◽  
Current Paper ◽  
Legal Basis ◽  
French Government ◽  
Short Summary ◽  
Close Cooperation ◽  
Border Surveillance

In the view of modern tendencies, the cooperation between state armed institutions is extremely crucial. As an example could be mentioned the reaction of French government on the terrorist attack in Paris in the year 2015 – both, army and police, in close cooperation made a contribution solving this challenge. In the scale of Latvia the cooperation between National Armed Forces and State Border Guard could solve such problems like lack of personnel and equipment in State Border Guard. The aim of the current paper is to give insight in such themes as legal basis of the mentioned cooperation, the possibilities of involving National Armed Forces personnel in border surveillance, the possibilities of National Armed Forces personnel’s training in the field of border surveillance and possibilities for development of such training and make short summary in these topics. This was done by methods of analysis, open source research and comparative analysis. Among other conclusions, authors of the current paper draw a conclusion that cooperation between National Armed Forces and State Border Guard is effective but the possibilities of National Armed Forces personnel’s training should be improved in the way mentioned in the paper.

scholarly journals Own system of intelligent building in comparison with an open - source solution

2019 ◽  
Vol 12 ◽  
pp. 232-239
Author(s):  
Cezary Kryczka
Keyword(s):  
Comparative Analysis ◽  
Open Source ◽  
Automation System ◽  
Home Automation ◽  
Intelligent Building ◽  
Building System ◽  
Home Automation System ◽  
Open Source Systems ◽  
Free Open Source

This article is an attempt to answer the question whether and under what conditions it is beneficial to develop an own intelligent building system, when many free open source systems are available. The publication presents the characteristics of author's own home automation system - sHome, as well as the open-source system - Domoticz, in a configuration that is as close to the functionality of the author's system as possible. The work ends with a comparative analysis of the systems and conclusions from the analysis.

The Usage of R Programming in Finance and Banking Research

2019 ◽  
pp. 34-47
Author(s):  
Ceyhun Ozgur ◽  
Sanjeev Jha ◽  
Bennie B. Myer-Tyson ◽  
David Booth
Keyword(s):  
Operating System ◽  
Comparative Analysis ◽  
Open Source ◽  
Comparative Evaluation ◽  
Statistical Analyses ◽  
User Input ◽  
R Programming ◽  
Business Structures ◽  
Standard Software ◽  
Input Code

R has grown tremendously over the years in terms of number of users and capability with the development of hundreds of packages. In this chapter, the authors investigate the usage of R in finance and banking areas. They begin with a comparative analysis of R with other computing software like SAS and Python. Then they discuss the reasons for the growth of R's usage in financial sector. They end with a comparative evaluation of Python and R's strengths and weaknesses in a classroom. R is software designed to run statistical analyses and output graphics by user-input code. It can run on virtually any operating system and is open source. This makes the software highly appealing, as it is able to keep up with the demands of a growing number of varied business structures. Standard software has been SAS and Python; however, a growing number of jobs are posted looking for experience using R in the data analytics field.

scholarly journals EliIE: An open-source information extraction system for clinical trial eligibility criteria

2017 ◽  
Vol 24 (6) ◽  
pp. 1062-1071 ◽  
Author(s):  
Tian Kang ◽  
Shaodian Zhang ◽  
Youlan Tang ◽  
Gregory W Hruby ◽  
Alexander Rusanov ◽  
...  
Keyword(s):  
Information Extraction ◽  
Open Source ◽  
Relation Extraction ◽  
Extraction System ◽  
Free Text ◽  
Source Information ◽  
Eligibility Criteria ◽  
Negation Detection ◽  
Attribute Recognition ◽  
Information Extraction System

Abstract Objective To develop an open-source information extraction system called Eligibility Criteria Information Extraction (EliIE) for parsing and formalizing free-text clinical research eligibility criteria (EC) following Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) version 5.0. Materials and Methods EliIE parses EC in 4 steps: (1) clinical entity and attribute recognition, (2) negation detection, (3) relation extraction, and (4) concept normalization and output structuring. Informaticians and domain experts were recruited to design an annotation guideline and generate a training corpus of annotated EC for 230 Alzheimer’s clinical trials, which were represented as queries against the OMOP CDM and included 8008 entities, 3550 attributes, and 3529 relations. A sequence labeling–based method was developed for automatic entity and attribute recognition. Negation detection was supported by NegEx and a set of predefined rules. Relation extraction was achieved by a support vector machine classifier. We further performed terminology-based concept normalization and output structuring. Results In task-specific evaluations, the best F1 score for entity recognition was 0.79, and for relation extraction was 0.89. The accuracy of negation detection was 0.94. The overall accuracy for query formalization was 0.71 in an end-to-end evaluation. Conclusions This study presents EliIE, an OMOP CDM–based information extraction system for automatic structuring and formalization of free-text EC. According to our evaluation, machine learning-based EliIE outperforms existing systems and shows promise to improve.

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