Procedia Computer Science - Journal - MOST Wiedzy


Procedia Computer Science



Ministry points: Help

Ministry points
2021 5 Not listed on the ministry scored journals list
Ministry points
Year Points List
2021 5 Not listed on the ministry scored journals list
2020 5 Not listed on the ministry scored journals list
2019 5 Not listed on the ministry scored journals list
2016 0 foreign scientific journals
2015 0 foreign scientific journals
2014 0 foreign scientific journals
2013 0 foreign scientific journals
2012 0 foreign scientific journals

Punkty CiteScore:

Punkty CiteScore
2019 2.5
Punkty CiteScore
Year Points
2019 2.5
2018 2.2
2017 1.5
2016 1.2
2015 0.9
2014 1.1
2013 1
2012 1.1
2011 0.3

Impact Factor:


Publishing policy:

Blue Help SHERPA RoMEO status
author's version of the article before the review
author's version of the article after the review

Status table SHERPA RoMEO

Status table SHERPA RoMEO
RoMEO color Archiving policy
Green can archive pre-prints and post-prints or a version of the publisher
Blue can archive post-prints
Yellow can archive pre-prints
White can not archive any materials
Gray unknown


total: 29

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Catalog Journals

  • Designing Intelligent Factory: Conceptual Framework and Empirical Validation

    - Procedia Computer Science - 2016

    This paper presents a framework for monitoring, analysing and decision making for a smart manufacturing environment. We maintain that this approach could play a vital role in developing an architecture and implementation of Industry 4.0. The proposed model has features like experience based knowledge representation and semantic analysis of engineering objects and manufacturing process. It is also capable of continuous real time...

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  • Fast Low-fidelity Wing Aerodynamics Model for Surrogate-Based Shape Optimization

    Variable-fidelity optimization (VFO) can be efficient in terms of the computational cost when compared with traditional approaches, such as gradient-based methods with adjoint sensitivity information. In variable-fidelity methods, the directoptimization of the expensive high-fidelity model is replaced by iterative re-optimization of a physics-based surrogate model, which is constructed from a corrected low-fidelity model. The success...

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  • Image projection in Immersive 3D Visualization Laboratory

    In recent years, many centers in the world attempted to build a virtual reality laboratory. The main idea of such laboratory is to allow the user to “immerse” into and move in a computer-generated virtual world. In the paper, the underlying principles of the system of virtual reality (VR) are described. The selected implementations constructed by the research centers of the world are also presented. The cave automatic virtual environment...

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  • Implementing Virtual Engineering Objects (VEO) with the Set of Experience Knowledge Structure (SOEKS)

    - Procedia Computer Science - 2014

    This paper illustrates the idea of Virtual Engineering Object (VEO) powered by Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). A VEO is the knowledge representation of an engineering object, having embodiment of all its associated knowledge and experience within it. Moreover, VEO is a specialization of Cyber-Physical System (CPS) in terms of that its extension in knowledge gathering and reuse, whereas CPS...

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  • Low-Cost EM-Simulation-Driven Multi-Objective Optimization of Antennas

    A surrogate-based method for efficient multi-objective antenna optimization is presented. Our technique exploits response surface approximation (RSA) model constructed from sampled low-fidelity antenna model (here, obtained through coarse-discretization EM simulation). The RSA model enables fast determination of the best available trade-offs between conflicting design goals. A low-cost RSA model construction is possible through...

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  • Nested Space Mapping Technology for Expedite EM-driven Design of Compact RF/microwave Components

    A robust simulation-driven methodology for rapid and reliable design of RF/microwave circuits comprising compact microstrip resonant cells (CMRCs) is presented. We introduce a nested space mapping (NSM) technology, in which the inner space mapping layer is utilized to improve the generalization capabilities of the equivalent circuit model corresponding to a constitutive element of the circuit under consideration. The outer layer...

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  • Optimization model of agile team’s cohesion

    Team’s cohesion is one of the most important factors of IT project execution effectiveness. Optimization of team’s cohesion gives the possibility of reducing the risk of project failure. It also allows to increase the teamwork efficiency and thus optimize time of tasks execution, increase the guarantee of maintaining the scope of the project and the chance of achieving a given level of products quality. This article presents determination...

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  • The Hybrid Fuzzy - SOEKS Approach to the Polish Internet Mortgage Market

    The paper presents the hybrid fuzzy- SOEKS approach to the Polish Internet mortgage market, which is treated as an example of a fast changing market. Firstly, the market and market problems are described. Then, the first approach to the market problems is presented: the complete fuzzy model which was built basing on the rules. The fuzzy model is presented on one real data case. Next, the new approach, called Set of Experience Knowledge...

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  • Tools, Methods and Services Enhancing the Usage of the Kepler-based Scientific Workflow Framework
    • M. Płóciennik
    • S. Winczewski
    • P. Ciecieląg
    • F. Imbeaux
    • B. Guillerminet
    • P. Huynh
    • M. Owsiak
    • P. Spyra
    • T. Aniel
    • B. Palak... and 3 others

    - Procedia Computer Science - 2014

    Scientific workflow systems are designed to compose and execute either a series of computational or data manipulation steps, or workflows in a scientific application. They are usually a part of a larger eScience environment. The usage of workflow systems, however very beneficial, is mostly not irrelevant for scientists. There are many requirements for additional functionalities around scientific workflows systems that need to be...

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  • Viability of decisional DNA in robotics

    - Procedia Computer Science - 2014

    The Decisional DNA is an artificial intelligence system that uses prior experiences to shape future decisions. Decisional DNA is written in the Set Of Experience Knowledge Structure (SOEKS) and is capable of capturing and reusing a broad range of data. Decisional DNA has been implemented in several fields including Alzheimer’s diagnosis, geothermal energy and smart TV. Decisional DNA is well suited to use in robotics due to the...

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