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Wyniki wyszukiwania dla: computer science
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THE MANAGEMENT OF DESIGNING PROCESSES IN THE CREATION OF THE KNOWLEDGE BASE SYSTEM : Proceedings of International Computer Science Convention
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The Application Of A Noise Mapping Tool Deployed In Grid Infrastructure For Creating Noise Maps Of Urban Areas
PublikacjaThe concept and implementation of the system for creating dynamic noise maps in PL-Grid infrastructure are presented. The methodology of dynamic acoustical maps creating is introduced. The concept of noise mapping, based on noise source and propagation models, was developed and employed in the system. The details of incorporation of the system to the PL-Grid infrastructure are presented. The results of simulations performed by...
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Assessment of risks introduced to safety critical software by agile practices - a software engineer's perspective
PublikacjaIn this article we investigate the problem of applying agile practices into safety-critical projects.The goal of our research is to investigate potential benefits from introducing agile practicesinto safety-critical environment and to present a solution providing for balancing agileapproach with more disciplined assurance techniques, bringing the best of the two worlds together.In the article we present the supporting ideas such...
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Exploring Impact of Requirements Engineering on Other IT Project Areas – Case Study
PublikacjaRequirements Engineering (RE) is recognized as one of the most important (yet difficult) areas of software engineering that has a significant impact on other areas of IT projects and their final outcomes. Empirical studies investigating this impact are hard to conduct, mainly due to the great effort required. It is thus difficult for both researchers and industry practitioners to make evidence-based evaluations about how decisions...
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From Linear Classifier to Convolutional Neural Network for Hand Pose Recognition
PublikacjaRecently gathered image datasets and the new capabilities of high-performance computing systems have allowed developing new artificial neural network models and training algorithms. Using the new machine learning models, computer vision tasks can be accomplished based on the raw values of image pixels instead of specific features. The principle of operation of deep neural networks resembles more and more what we believe to be happening...
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Using Redis supported by NVRAM in HPC applications
PublikacjaNowadays, the efficiency of storage systems is a bottleneck in many modern HPC clusters. High performance in the traditional approach – processing using files – is often difficult to obtain because of a model’s complexity and its read/write patterns. An alternative approach is to apply a key-value database, which usually has low latency and scales well. On the other hand, many key-value stores suffer from a limitation of memory...
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Computer modeling and testing of structural metamaterials
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A note on the affective computing systems and machines: a classification and appraisal
PublikacjaAffective computing (AfC) is a continuously growing multidisciplinary field, spanning areas from artificial intelligence, throughout engineering, psychology, education, cognitive science, to sociology. Therefore, many studies have been devoted to the aim of addressing numerous issues, regarding different facets of AfC solutions. However, there is a lack of classification of the AfC systems. This study aims to fill this gap by reviewing...
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Aiming at methods’ wider adoption: Applicability determinants and metrics
PublikacjaNumerous computer science methods and techniques have been proposed by the scientific community. However, depending on the domain, only their minor fraction has met wider adoption. This paper brings attention to the concept of applicability - the notion that is well acknowledged in the scientific field but have not been analysed with respect to determinants, metrics and systematisation. The primary objective of the study was to...
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The maximum edge-disjoint paths problem in complete graphs
PublikacjaRozważono problem ścieżek krawędziowo rozłącznych w grafach pełnych. Zaproponowano wielomianowe algorytmy: 3.75-przybliżony (off-line) oraz 6.47-przybliżony (on-line), poprawiając tym samym wyniki wcześniej znane z literatury [P. Carmi, T. Erlebach, Y. Okamoto, Greedy edge-disjoint paths in complete graphs, in: Proc. 29th Workshop on Graph Theoretic Concepts in Computer Science, in: LNCS, vol. 2880, 2003, pp. 143-155]. Ponadto...
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Image projection in Immersive 3D Visualization Laboratory
PublikacjaIn 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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MobileNet family tailored for Raspberry Pi
PublikacjaWith the advances in systems-on-a-chip technologies, there is a growing demand to deploy intelligent vision systems on low-cost microcomputers. To address this challenge, much of the recent research has focused on reducing the model size and computational complexity of contemporary convolutional neural networks (CNNs). The state-of-the-art lightweight CNN is MobileNetV3. However, it was designed to achieve a good trade-off between...
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Integrating Experience-Based Knowledge Representation and Machine Learning for Efficient Virtual Engineering Object Performance
PublikacjaMachine learning and Artificial Intelligence have grown significant attention from industry and academia during the past decade. The key reason behind interest is such technologies capabilities to revolutionize human life since they seamlessly integrate classical networks, networked objects and people to create more efficient environments. In this paper, the Knowledge Representation technique of Set of Experience...
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Towards Use of OntoClean for Ontology Contextualization
PublikacjaOntologies are formal systems of concepts used to describe numerous domains of interest. Ontologies are usually very expressive, but it comes at a price of computationally expensive reasoning over them. In our previous work we discussed the possible performance benefits that can be obtained by decomposing an ontology into contexts. While the benefits are appealing, we discovered that, in our case, the main obstacle against using...
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Sustainable Waste Management for Implementation of a Circular Economy Model in a Port
PublikacjaThe manuscript presents the management of waste from marine vessels and cargo handling companies in a selected European Union port. The main objective of the paper is to analyse and evaluate the existing waste management model in the port of Szczecin in the context of circular economy. The expert research carried out is aimed, inter alia, at identifying which of the solutions currently in use need to be improved from an environmental...
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TISAX - optimization of IT risk management in the automotive industry
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ChatGPT - opportunities or threats in the educational process
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Building a cybersecurity culture of public administration system in Poland
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Smartphone and Mobile Applications Usage. Comparison Poland-Turkey
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Preface
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An ML-extended conceptual framework for implementing temporal big data analytics in organizations to support their agility
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Application of creative problem-solving methods in remote learning. Bibliometric analysis
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Open Data for simulation to determine the efficient management of parking spaces in Smart City
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Ensemble Classifier for Mining Data Streams
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Determinants of Internet use regarding shopping preferences, COVID-19 pandemic occurrence, perception of security and Internet marketing – a case study of Poland
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Modeling of legal knowledge management system based on ontology
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Comparison of Customers’ Perception of the Quality of Poland-Turkey Electronic Marketing Solutions
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Application of the semantic network to manage processes in the area of legal regulation of education at the Doctoral School
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Modeling of Imaging Mass Spectrometry Data and Testing by Permutation for Biomarkers Discovery in Tissues
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Implementation of algebraic procedures on the GPU using CUDA architecture on the example of generalized eigenvalue problem
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New approach to the chunk recoginition in Polish
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Investigation of Vibro-Acoustical Properties Using Eigenvalue Problem Solution and Wavelets
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Finding Temperature Distribution at Heat Recovery Unit Using Genetic Algorithms
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Optimization of multilayer rail substrate under moving load, using metamaterials.
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On some aspects of Concurrent Control Processes Modelling and Implementation in LAD Diagram Language With Use of New Generation Engineering Software
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Finite State Machine Based Modelling of Discrete Control Algorithm in LAD Diagram Language With Use of New Generation Engineering Software
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Operational Properties Investigation of The Flat-Plate Solar Collector with Poliuretane Foam Insulation
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Dynamics of changes in Poland in the light of the Industry 4.0
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Autonomous control of a mobile robot to explore areas with difficult terrain
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IPNES - Interpreted Petri Net for Embedded Systems
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Selected reflections on formal modeling in Industry 4.0
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A Concept of a Training Project IT Management System
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Implementation of an example of Hierarchical Petri Net (HPN) in LAD language in TIA Portal
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Investigation of Anti-Lock Braking System failures using wavelet analysis
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Thermo-mechanic tests using 3d printed elements
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A Novel Framework for Decision Support System in Human Resource Management
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Application of crowdfunding to video game projects financing
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ARIMA vs LSTM on NASDAQ stock exchange data
PublikacjaThis study compares the results of two completely different models: statistical one (ARIMA) and deep learning one (LSTM) based on a chosen set of NASDAQ data. Both models are used to predict daily or monthly average prices of chosen companies listed on the NASDAQ stock exchange. Research shows which model performs better in terms of the chosen input data, parameters and number of features. The chosen models were compared using...
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Machine learning applied to acoustic-based road traffic monitoring
PublikacjaThe motivation behind this study lies in adapting acoustic noise monitoring systems for road traffic monitoring for driver’s safety. Such a system should recognize a vehicle type and weather-related pavement conditions based on the audio level measurement. The study presents the effectiveness of the selected machine learning algorithms in acoustic-based road traffic monitoring. Bases of the operation of the acoustic road traffic...
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The complexity of bicriteria tree-depth
PublikacjaThe tree-depth problem can be seen as finding an elimination tree of minimum height for a given input graph G. We introduce a bicriteria generalization in which additionally the width of the elimination tree needs to be bounded by some input integer b. We are interested in the case when G is the line graph of a tree, proving that the problem is NP-hard and obtaining a polynomial-time additive 2b-approximation algorithm. This particular...