Marcin Paprzycki

Marcin Paprzycki
Instytut Badań Systemowych Polskiej Akademii Nauk | IBSPAN · Intelligent Systems

D.Sc.

About

466
Publications
148,375
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
3,756
Citations
Additional affiliations
January 2013 - March 2013
The University of Aizu
Position
  • Professor
March 2006 - present
Instytut Badań Systemowych Polskiej Akademii Nauk
Position
  • Professor (Associate)
March 2006 - present
Polish Academy of Sciences
Position
  • Professor (Associate)

Publications

Publications (466)
Chapter
Reusing ontologies in practice is still very challenging, especially when multiple ontologies are (jointly) involved. Moreover, despite recent advances, the realization of systematic ontology quality assurance remains a difficult problem. In this work, the quality of thirty biomedical ontologies, and the Computer Science Ontology are investigated,...
Chapter
The aim of this contribution is to analyse practical aspects of the use of REST APIs and gRPC to realize communication tasks in applications in microservice-based ecosystems. On the basis of performed experiments, classes of communication tasks, for which given technology performs data transfer more efficiently, have been established. This, in turn...
Conference Paper
In this work, the development of virtual reality software for “industrial applications” is considered. It is argued that, in this context, the vast experience from the development of computer games cannot be used directly. Especially, the specific nature of solutions dedicated to industrial applications requires taking into account their specificit...
Chapter
Full-text available
New requirements, posed by the Next Generation IoT, demand design of novel reference architectures, providing foundation for implementation of Internet of Things (IoT) ecosystems. Building on cloud-native concepts (e.g. microservices, virtualisation, and containerization), a flexible architecture that answers requirements present in recent IoT depl...
Chapter
Full-text available
The Management and Orchestration framework (MANO) is the main element of the Network Function Virtualization paradigm. It is in charge of managing the life cycle of virtualized functions, from instantiation to manageability, live configuration, and termination. This kind of framework was originally designed to orchestrate network functions over vir...
Preprint
Full-text available
The aim of this contribution is to analyse practical aspects of the use of REST APIs and gRPC to realize communication tasks in applications in microservice-based ecosystems. On the basis of performed experiments, classes of communication tasks, for which given technology performs data transfer more efficiently, have been established. This, in turn...
Preprint
Full-text available
Currently, mid 2022, one of important trends in machine learning is to move away from monster-size models, which need petabytes of data to train and, during training, use Giga Watts of energy. This movement (called Frugal AI) is caused, also by rapid growth of IoT deployments. There, intelligence at the edge involves resource constrained models. Th...
Preprint
Full-text available
Federated learning (FL) was proposed to facilitate the training of models in a distributed environment. It supports the protection of (local) data privacy and uses local resources for model training. Until now, the majority of research has been devoted to "core issues", such as adaptation of machine learning algorithms to FL, data privacy protectio...
Preprint
Full-text available
With the ongoing, gradual shift of large-scale distributed systems towards the edge-cloud continuum, the need arises for software solutions that are universal, scalable, practical, and grounded in well-established technologies. Simultaneously, semantic technologies, especially in the streaming context, are becoming increasingly important for enabli...
Preprint
Full-text available
Availability of large amount of annotated data is one of the pillars of deep learning success. Although numerous big datasets have been made available for research, this is often not the case in real life applications (e.g. companies are not able to share data due to GDPR or concerns related to intellectual property rights protection). Federated le...
Preprint
Full-text available
One of the important problems in federated learning is how to deal with unbalanced data. This contribution introduces a novel technique designed to deal with label skewed non-IID data, using adversarial inputs, created by the I-FGSM method. Adversarial inputs guide the training process and allow the Weighted Federated Averaging to give more importa...
Chapter
Zero-shot learning is applied, for instance, when properly labeled training data is not available. A number of zero-shot algorithms have been proposed. However, since none of them seems to be an “overall winner”, development of a meta-classifier(s) combining “best aspects” of individual classifiers can be attempted. In this context, state-of-the-ar...
Preprint
Full-text available
Reusing ontologies in practice is still very challenging, especially when multiple ontologies are involved. Moreover, despite recent advances, systematic ontology quality assurance remains a difficult problem. In this work, the quality of thirty biomedical ontologies, and the Computer Science Ontology, are investigated from the perspective of a pra...
Article
This contribution argues that Reddit, as a massive, categorized, open-access dataset, is a useful data source, on "almost any topic", which can be used for data science and knowledge exploration. This statement is backed-up with presented analysis, based on 180 manually annotated papers, related to Reddit itself, and data acquired from top database...
Preprint
Full-text available
In recent years, 5G network systems start to offer communication infrastructure for Internet of Things (IoT) applications, especially for health care service providers. In smart health care systems, edge computing enabled Internet of Medical Things (IoMT) is an innovative technology to provide online health care monitoring facility to patients. Her...
Preprint
Full-text available
Nowadays, it is possible to collect precise data describing movements of public transport. Specifically, for each bus (or tram) geoposition data can be regularly collected. This includes data for all buses in Warsaw, Poland. Moreover, this data can be downloaded and analyzed. In this context, one of the simplest questions is: can a model be build t...
Chapter
The aim of this contribution is twofold. First, to summarize the state-of-the-art in the area of Tactile Internet. Second, to outline, based on pilots of the ASSIST-IoT project, an architecture needed to realize Tactile Internet in Internet of Things ecosystems.
Chapter
This contribution concerns load balancing, based on mechanisms from complex systems theory dedicated to IoT solutions within the Edge-Cloud continuum. The basis of considered mechanisms is the betweenness analysis applied to distributed nodes in a wireless IoT network. A high value of this parameter can indicate the key role of a given node, which...
Preprint
Full-text available
The Management and Orchestration framework (MANO) is the main element of the Network Function Virtualization paradigm. It is in charge of managing the lifecycle of virtualized functions, from instantiation to manageability, live configuration and termination. This kind of framework was originally designed to orchestrate network functions over virtu...
Preprint
Full-text available
The vast body of scientific publications presents an increasing challenge of finding those that are relevant to a given research question, and making informed decisions on their basis. This becomes extremely difficult without the use of automated tools. Here, one possible area for improvement is automatic classification of publication abstracts acc...
Chapter
While Optical Character Recognition has become a popular tool in business and administration, its use for Assamese character recognition is still in early stages. Therefore, we have experimented with multiple neural network architectures, applied to this task, to establish general understanding of their performance. For the experiments, we have gen...
Chapter
Full-text available
The Internet of Things (IoT) is a jeopardized ecosystem in which heterogeneity is intrinsic at all levels, from physical devices to communication protocols till high-level application semantics. The absence of IoT standards increases the complexity of integration and interoperability among heterogeneous platforms. This generates a strong demand for...
Chapter
Full-text available
Interoperability, on the semantic level, deals with shared understanding of data, between IoT artifacts. Positioned on top of the syntactic layer, semantic interoperability facilitates solutions to problems that arise after the data is in a common format, with syntax understood by all participants. Provisioning of compatibility between not directly...
Preprint
This contribution argues that Reddit, as a massive, categorized, open-access dataset, can be used to conduct knowledge capture on "almost any topic". Presented analysis, is based on 180 manually annotated papers related to Reddit and data acquired from top databases of scientific papers. Moreover, an open source tool is introduced, which provides e...
Article
Current software projects require continuous integration during their whole lifetime. In this context, different approaches regarding introduction of DevOps and DevSecOps strategies have been proposed in the literature. While DevOps proposes an agile methodology for the development and instantiation of software platforms with minimal impact in any...
Chapter
Full-text available
Development of next generation Internet of Things ecosystems will require bringing in (semi-)autonomic behaviors. While the research on autonomic systems has a long tradition, the question arises, are there any “off-the-shelf” tools that can be used directly to implement autonomic solutions/components for IoT deployments. The objective of this cont...
Preprint
Full-text available
Current software projects require continuous integration during their whole lifetime. In this context, different approaches regarding introduction of DevOps and DevSecOps strategies have been proposed in the literature. While DevOps proposes an agile methodology for the development and instantiation of software platforms with minimal impact in any...
Preprint
Full-text available
Reasoning about, and debugging, hierarchical control plane systems is hard. Moreover, OpenTracing, the industry adopted tracing model, has problems with tracing activities in presence of coalescing effects, which materialize, among others, in cloud platforms and build systems. In our earlier work we have proposed a novel approach to distributed sys...
Chapter
There are plenty of algorithms whose operation is based on the behavior of bees. Currently, the most intensively developed concept is the ABC algorithm. Its chief asset is the ease of customization and fast operation. One of the older solutions is the MBO concept. However, due to its high complexity, the algorithm had limited application. The subje...
Preprint
Full-text available
Abstract. Development of next generation Internet of Things ecosystems will require bringing in (semi-)autonomic behaviors. While the research on autonomic systems has a long tradition, the question arises, are there any "off-the-shelf" tools that can be used directly to implement autonomic solutions/components for IoT deployments. The objective of...
Chapter
Full-text available
This paper proposes a multi-agent system for modeling and simulation of epidemics spread management strategies. The core of the proposed approach is a generic spatial Susceptible-Infected-Recovered stochastic discrete system. Our model aims at evaluating the effect of prophylactic and mobility limitation measures on the impact and magnitude of the...
Preprint
Full-text available
The aim of this contribution is twofold. First, to summarize the state-of-the-art in the area of Tactile Internet. Second, to outline,based on pilots of the ASSIST-IoT project, an architecture needed to realize Tactile Internet in Internet of Things ecosystems
Preprint
Full-text available
Since its inception, in approximately 2017, federated learning became an area of intensive research. Obviously, such research requires tools that can be used for experimentation.Here, the biggest industrial players proposed their own platforms,but these platforms are anchored in tools that they “promote”. Moreover, they are mainly “all-in-one” solu...
Article
In this article, we present an experimental performance study of a parallel implementation of two Poissonian image restoration algorithms. Hybrid parallelization, based on MPI and OpenMP standards, is investigated. The implementation is tested for high‐resolution radiographic images, on a supercomputer based on Intel Xeon processors, combined with...
Preprint
Full-text available
Personal and home sensors generate valuable information that could be used in Smart Cities. Unfortunately, typically, this data is locked out and used only by application/system developer. While vendors are to blame, one should consider also the "binary nature" of data access. Specifically, either owner has full control over her data (e.g. in a "cl...
Chapter
Full-text available
Adasiewicz, RafalGanzha, MariaPaprzycki, MarcinIvanovic, MirianaBadica, CostinLirkov, IvanFidanova, StefkaHarizanov, StanislavRecently, there is a growing trend to improve the quality of life, while reducing energy consumption and emissions of CO2. Here, the use of sensors, controllers, and indoor positioning brings us closer to achieving this goal...
Book
This book features selected papers presented at Second International Conference on International Conference on Information Management & Machine Intelligence (ICIMMI 2020) held at Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India during 24 – 25 July 2020. It covers a range of topics, including data analytics; AI; machine and d...
Article
Full-text available
Over time, two counteracting trends have been observed in the “world of computing”. One of them was a push from centralized towards decentralized solutions. The first wave of this process can be associated with the introduction of the Internet and personal computers and took place in early 1980th. The second was the move in the opposite direction....
Book
Full-text available
This book is a relevant reference for any readers interested in the security aspects of Cyber-Physical Systems and particularly useful for those looking to keep informed on the latest advances in this dynamic area. Cyber-Physical Systems (CPSs) are characterized by the intrinsic combination of software and physical components. Inherent elements of...
Book
This two-wolume set (CCIS 1395-1396) constitutes the refereed proceedings of the Third International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2020, held in Taganrog, Russia, in October 2020. The 80 revised papers presented were carefully reviewed and selected from 291 submissions. The prime aim of the confere...
Book
This book is focused on an emerging area, i.e. combination of IoT and semantic technologies, which should enable breaking the silos of local and/or domain-specific IoT deployments. Taking into account the way that IoT ecosystems are realized, several challenges can be identified. Among them of definite importance are (this list is, obviously, not e...
Article
Full-text available
In this work we address the problem of optimizing collective profitability in semi-competitive intermediation networks defined as augmented directed acyclic graphs. Network participants are modeled as autonomous agents endowed with private utility functions. We introduce a mathematical optimization model for defining pricing strategies of network p...
Article
CasAware is an Ambient Assisted Living platform, developed within an Italian research project, with the aim to improve the level of comfort and well-being of inhabitants of a house, while optimizing the energy consumption. A key feature, for successful realization of such a platform, is its capability to interoperate with other IoT platforms, which...
Article
Full-text available
Eight years ago we have designed and implemented an initial prototype of an agent-based glider pilot support system (the GliderAgent). Our aim was to validate correctness of the initial assumption that an agent-based system, combined with sensor data, can help pilots in various situations that occur during a flight. For instance, the GliderAgent wa...
Preprint
Full-text available
Agent-based computing is an active field of research with the goal of building autonomous software of hardware entities. This task is often facilitated by the use of dedicated, specialized frameworks. For almost thirty years, many such agent platforms have been developed. Meanwhile, some of them have been abandoned, others continue their developmen...