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Centrum Informat. Trójmiejskiej Akadem.Sieci Komputerowej

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2021
  • Total chromatic sum for trees
    Publikacja

    - 2021

    The total chromatic sum of a graph is the minimum sum of colors (natural numbers) taken over all proper colorings of vertices and edges of a graph. We pro- vide infinite families of trees for which the minimum number of colors to achieve the total chromatic sum is equal to the total chromatic number. The polynomial al- gorithm for finding total chromatic sum of a tree is constructed. This algorithm can verify whether minimum number...

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2020
  • Framework for Integration Decentralized and Untrusted Multi-vendor IoMT Environments
    Publikacja

    - IEEE Access - 2020

    Lack of standardization is highly visible while we use historical data sets or compare our model with others that use IoMT devices from different vendors. The problem also concerns the trust in highly decentralized and anonymous environments where sensitive data are transferred through the Internet and then are analyzed by third-party companies. In our research we propose a standard that has been implemented in the form of framework...

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  • Mobile Cloud computing architecture for massively parallelizablegeometric computation
    Publikacja
    • V. Sánchez Ribes
    • H. Mora-Mora
    • A. Sobecki
    • F. José Mora Gimeno

    - COMPUTERS IN INDUSTRY - 2020

    Cloud Computing is one of the most disruptive technologies of this century. This technology has been widely adopted in many areas of the society. In the field of manufacturing industry, it can be used to provide advantages in the execution of the complex geometric computation algorithms involved on CAD/CAM processes. The idea proposed in this research consists in outsourcing part of the load to be com- puted in the client machines...

  • Practical I-Voting on Stellar Blockchain

    In this paper, we propose a privacy-preserving i-voting system based on the public Stellar Blockchain network. We argue that the proposed system satisfies all requirements stated for a robust i-voting system including transparency, verifiability, and voter anonymity. The practical architecture of the system abstracts a voter from blockchain technology used underneath. To keep user privacy, we propose a privacy-first protocol that...

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  • Smart Services for Improving eCommerce
    Publikacja

    - 2020

    The level of customer support provided by the existing eCom-merce solutions assumes that the person using the functionality of theshop has sufficient knowledge to decide on the purchase transaction. Alow conversion rate indicates that customers are more likely to seekknowledge about the particular product than finalize the transaction.This is facilitated by the continuous development of customers’ digi-tal...

2019
  • Deep learning in the fog

    In the era of a ubiquitous Internet of Things and fast artificial intelligence advance, especially thanks to deep learning networks and hardware acceleration, we face rapid growth of highly decentralized and intelligent solutions that offer functionality of data processing closer to the end user. Internet of Things usually produces a huge amount of data that to be effectively analyzed, especially with neural networks, demands high...

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  • Low-Power WSN System for Honey Bee Monitoring
    Publikacja

    - 2019

    The paper presents a universal low-power system for biosensory data acquisition in scope of bees monitoring. We describe the architecture of the system, energy-saving components as well as we discuss the selection of used sensors. The work focuses on energy optimization in a scope of wireless communication. A custom protocol was implemented, which is the basis for presented energy-efficient devices. Data exchange process during...

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  • Systematic approach to binary classification of images in video streams using shifting time windows

    in the paper, after pointing out of realistic recordings and classifications of their frames, we propose a new shifting time window approach for improving binary classifications. We consider image classification in tewo steps. in the first one the well known binary classification algorithms are used for each image separately. In the second step the results of the previous step mare analysed in relatively short sequences of consecutive...

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  • The preferable ways of decision-making in IT teams

    Software development team collaboration requires various decisions regarding essential aspects of a project’s progress. General and particular decision-making models are considered, and their main aspects such as team types, problem solving categories, and decision-making ways are analyzed. The research concerns representative groups of IT specialists and their preferences in decision-making are investigated. Four possible cases were...

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  • The Use of Artificial Neural Networks and Decision Trees to Predict the Degree of Odor Nuisance of Post-Digestion Sludge in the Sewage Treatment Plant Process

    This paper presents the application of artificial neural networks and decision trees for the prediction of odor properties of post-fermentation sludge from a biological-mechanical wastewater treatment plant. The input parameters were concentrations of popular compounds present in the sludge, such as toluene, p-xylene, and p-cresol, and process parameters including the concentration of volatile fatty acids, pH, and alkalinity in...

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  • Towards semantic-rich word embeddings
    Publikacja

    - Annals of Computer Science and Information Systems - 2019

    In recent years, word embeddings have been shown to improve the performance in NLP tasks such as syntactic parsing or sentiment analysis. While useful, they are problematic in representing ambiguous words with multiple meanings, since they keep a single representation for each word in the vocabulary. Constructing separate embeddings for meanings of ambiguous words could be useful for solving the Word Sense Disambiguation (WSD)...

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  • Wisdom in the context of globalization and civilization
    Publikacja

    - 2019

    The book seeks to answer the question - what is wisdom and how should it be used in everyday life? A model of wisdom is presented in which wisdom describes three attributes: knowledge, qualifications (skills) and inspirations leading to consciously controlled processes of correct assessment of the situation and the correct choice of solution options in the context of the art of living. For each attribute, we can specify a set of...

2018
  • Aplikacje i usługi a technologie sieciowe
    Publikacja

    Obserwując tempo rozwoju technologii sieciowych oraz usług i aplikacji stajemy przed ogromnym dylematem jak wykorzystać istniejące możliwości by modernizować wybrane usługi i aplikacje zgodnie z ciągle zmieniającymi się potrzebami użytkowników. Bardzo często sygnalizowane nowe technologie czy aplikacje mają jednak czysto charakter biznesowy podporządkowany prawom marketingu i nie wnoszą wielu istotnych zmian. Dlatego jest ważne...

  • Impact of Shifting Time-Window Post-Processing on the Quality of Face Detection Algorithms
    Publikacja

    - 2018

    We consider binary classification algorithms, which operate on single frames from video sequences. Such a class of algorithms is named OFA (One Frame Analyzed). Two such algorithms for facial detection are compared in terms of their susceptibility to the FSA (Frame Sequence Analysis) method. It introduces a shifting time-window improvement, which includes the temporal context of frames in a post-processing step that improves the...

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  • Improving methods for detecting people in video recordings using shifting time-windows
    Publikacja

    - 2018

    We propose a novel method for improving algorithms which detect the presence of people in video sequences. Our focus is on algorithms for applications which require reporting and analyzing all scenes with detected people in long recordings. Therefore one of the target qualities of the classification result is its stability, understood as a low number of invalid scene boundaries. Many existing methods process images in the recording...

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  • Improving Traffic Light Recognition Methods using Shifting Time-Windows
    Publikacja

    - 2018

    We propose a novel method of improving algorithms recognizing traffic lights in video sequences. Our focus is on algorithms for applications which notify the driver of a light in sight. Many existing methods process images in the recording separately. Our method bases on the observation that real-life videos depict underlying continuous processes. We named our method FSA (Frame Sequence Analyzed). It is applicable for any underlying...

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  • Mądre podejmowanie decyzji w sytuacjach problematycznych poprawiajace wybór rozwiązań
    Publikacja

    - 2018

    Przedstawiono klasyfikację problemów od precyzyjnie zdefiniowanych do intuicyjnie zrozumiałych. Dla tych drugich zaproponowano nowy model wyboru rozwiązań uwzględniający ocenę ich zalet i wad. Rozpatrzono zarówno indywidualne jak i zespołowe procedury podejmowania takich decyzji. Zasygnalizowano możliwości występowania nierozstrzygalnych sytuacji, które wymagają mądrych ludzkich działań. Sprowadzają się one do wyboru właściwej...

2017
2016
  • Automatic Discovery of IaaS Cloud Workload Types

    The paper presents an approach to automatic discovery of workloads types. We perform functional characteristics of the workloads executed in our cloud environment, that have been used to create model of the computations. To categorize the resources utilization we used K-means algorithm, that allow us automatically select six types of computations. We perform analysis of the discovered types against to typical computational benchmarks,...

  • Category-Based Workload Modeling for Hardware Load Prediction in Heterogeneous IaaS Cloud

    The paper presents a method of hardware load prediction using workload models based on application categories and high-level characteristics. Application of the method to the problem of optimization of virtual machine scheduling in a heterogeneous Infrastructure as a Service (IaaS) computing cloud is described.

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  • Clustering Context Items into User Trust Levels

    An innovative trust-based security model for Internet systems is proposed. The TCoRBAC model operates on user profiles built on the history of user with system interaction in conjunction with multi-dimensional context information. There is proposed a method of transforming the high number of possible context value variants into several user trust levels. The transformation implements Hierarchical Agglomerative Clustering strategy....

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  • Modeling energy consumption of parallel applications

    The paper presents modeling and simulation of energy consumption of two types of parallel applications: geometric Single Program Multiple Data (SPMD) and divide-and-conquer (DAC). Simulation is performed in a new MERPSYS environment. Model of an application uses the Java language with extension representing message exchange between processes working in parallel. Simulation is performed by running threads representing distinct process...

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  • Multi-level Virtualization and Its Impact on System Performance in Cloud Computing

    The results of benchmarking tests of multi-level virtualized environments are presented. There is analysed the performance impact of hardware virtualization, container-type isolation and programming level abstraction. The comparison is made on the basis of a proposed score metric that allows you to compare different aspects of performance. There is general performance (CPU and memory), networking, disk operations and application-like...

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  • Performance and Power-Aware Modeling of MPI Applications for Cluster Computing
    Publikacja

    The paper presents modeling of performance and power consumption when running parallel applications on modern cluster-based systems. The model includes basic so-called blocks representing either computations or communication. The latter includes both point-to-point and collective communication. Real measurements were performed using MPI applications and routines run on three different clusters with both Infiniband and Gigabit Ethernet...

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  • SOLAP GIS in maritime research

    Multidimensional Geographical Information System is a system especially designed to acquire, distribute, analyze and visualize complicated spatio-temporal data. Modern Geographical Information System technology can provide easy-to-use, near real-time solutions to many problems from different areas of research. In the article, authors summarize recent works on Spatial Online Analytical Processing (SOLAP) and multidimensional Geographical...

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  • ZARZADZANIE ORGANIZACJĄ TYPU SMART
    Publikacja

    Zaprezentowano organizacji, w której charakterystykę wpisano następujące cechy: strategiczne uwarunkowanie, maksymalną innowacyjność, atrakcyjność dla interesariuszy, rozwijanie osobowości pracowników oraz twórczość w działaniu. Te atrybuty, tworzą koncepcję organizacji SMART (akronim od pierwszych liter powyższych cech), która wyróżnia się dodatkowo strukturą opartą o dynamicznie kreowane zespoły oraz skutecznym wspomaganiem...

2015