This comprehensive survey examines consensus al-
gorithms utilized in Distributed Ledger Technology (DLT) for
Internet of Things (IoT) environments. The paper provides a
comparative analysis of consensus protocols including Proof of
Work, Proof of Stake, Proof of Authority, Proof of Elapsed Time,
Proof of Space, Proof of Activity, Practical Byzantine Fault Tol-
erance algorithm and...
Recurrent Neural Networks (RNN) and their other variants such as Long-Short Term Memory (LSTM) networks have become a widely used tool for natural langague processing (NLP). Thanks to their ability to effectively capture sequential dependencies in textual data they are well-suited for determining sentiment expressed in user-generated data such as media posts or reviews. However despite their...
W artykule przedstawione zostaลy dotychczasowe postฤpy projektu Badania i Implementacja Innowacyjnego Systemu Zasobnika Energii Wspรณลpracujฤ cego z Odnawialnymi ลนrรณdลami Energii INNOSTOR dla Zrรณwnowaลผonego Rozwoju na Politechnice Warszawskiej realizowanego przez koลo naukowe IskIErka w ramach grantu rektorskiego. Opisany zostaล ogรณlny kierunek zmian w elektroenergetyce, dฤ ลผฤ cy do coraz...
This paper presents a comparative study of different neural network architectures trained using behavioral learning in the strategic board game Blood Bowl. The gameโs complexity, driven by its large branching factor and inherent randomness, presents a significant challenge for artificial intelligence (AI). Traditional AI approaches, such as scripted and search-based methods, have struggled to...
The choice of a frontend framework significantly impacts the performance, maintainability, and scalability of modern web applications. This paper presents a comparative analysis of Blazor and React, two popular frontend frameworks with distinct architectures and approaches to building web interfaces. Blazor, developed by Microsoft, leverages C# and .NET to enable web development using...
This paper compares technologies used to develop mobile applications using multiplatform technologies. A lack of analysis of newer technologies, such as Kotlin Multiplatform, was identified by researching the current state of this field. Therefore, this study aims to compare the Kotlin Multiplatform with existing and well-researched Flutter technology to advance mobile development techniques....
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Study on how in the multitenant cloud architecture of the Salesforce platform, different field configurations available to administrators impact database index usage, query costs, and data manipulation language operations. Results show that while "External ID" and "Unique" settings consistently create indexes with varying performance effects, the "Required" flag unexpectedly affects query...
This study focuses on optimizing the computational efficiency of simulating electric field distribution in the human brain using the finite element method (FEM). Due to the brainโs complex and heterogeneous structure, accurate modeling requires high-resolution segmentation and realistic electrical property assignments, leading to large-scale numerical problems. To address these challenges,...
Humans can perceive a much broader luminance range than an average camera. It is impossible to take a single photo that contains details for both very dark and bright areas.
HDRI (High Dynamic Range Imaging) methods address that problem, by merging multiple low dynamic range images (LDR) into a single picture. These methods are being used for professional cameras and even in smartphones.
The...
This presentation explores the development of a low-cost, home-built quantum computer aimed at validating hypotheses from numerical simulations, combining theoretical advancements in quantum computing with practical engineering solutions. Three configurations are discussed: an Intel Labs-inspired setup demonstrating pulse-level control programming with PennyLane and benchmarking using the...
This paper explores the relationship between carbon reduction efforts, ESG factors and financial performance. Machine learning models are applied to multi-industry data to assess whether carbon-related ESG attributes - such as carbon emissions and participation in emissions trading schemes - enhance the prediction of stock returns. The analysis also considers the concept of a carbon premium,...
AbstractโIn modern software systems, efficient communication
is essential for ensuring scalability, maintainability, and performance.
The aim of this article is to review key communication
mechanisms used in modern systems. A multi-stage selection
process was conducted to identify the most relevant scientific
articles, summarize research findings, and determine which
methods perform best...
JavaScript remains the dominant language for
client-side scripting, while WebAssembly offers near-native ex
ecution speeds, making it a compelling choice for computa
tionally intensive tasks. This study provides a comprehensive
analysis of the performance differences between WebAssembly
and JavaScript across various computing environments, includ
ing different browsers (Firefox,...
Wersja polska
Celem pracy jest przedstawienie robota modularnego Gizmo - jego budowy mechanicznej, koncepcji rozproszonego ukลadu sterowania oraz protokoลu komunikacji miฤdzymoduลowej. Zawiera ona rรณwnieลผ omรณwienie fizycznego modelu wykonanego z uลผyciem druku 3D. Kaลผdy z segmentรณw posiada niezaleลผne aktuatory oraz zdolnoลฤ do ลฤ czenia siฤ i rekonfiguracji. Cechy te sprawiฤ , ลผe roboty...
Dynamiczny rozwรณj sztucznej inteligencji oraz mediรณw spoลecznoลciowych zwiฤkszajฤ potrzebฤ skutecznej ochrony przekazywanych danych. Znakowanie wodne jest jednฤ z moลผliwych technik modyfikujฤ cych m. in. obrazy w celu ลledzenia przepลywu informacji i pochodzenia. W niniejszej pracy przeanalizowano rรณลผne techniki znakowania wodnego, obejmujฤ ce zarรณwno tradycyjne algorytmy, jak i nowoczesne...
This paper discusses the implementation of the particle-mesh (PM) and particle-particle particle-mesh (P3M) methods in the context of a spiral galaxy simulation. Simulations performed using both methods correctly predict the formation of characteristic spiral arms and demonstrate expected physical behavior, satisfying Newtonโs second law and conserving energy and angular momentum. The PM code...
Enabling robots to operate autonomously in dynamic environments over extended periods requires robust memory, reasoning, and decision-making capabilities. Although large language models (LLMs) have demonstrated significant potential, their limited context size constrains their ability to manage long-term data effectively. Autonomous systems must be able to provide detailed information about a...
The rapid expansion of Industrial Internet of Things (IoT) networks has increased security vulnerabilities, necessitating robust threat detection mechanisms. Industrial networks may hold non-critical data and confidential energy or medical data. The second group should therefore be covered by stringent security policies against Denial of Service attacks or attempts to steal information through...
Efektywna komunikacja miฤdzy zespoลami IT a biznesem jest jednym z kluczowych czynnikรณw sukcesu projektรณw. Jednak rรณลผnice w oczekiwaniach, niejasne wymagania oraz nieskuteczne spotkania czฤsto prowadzฤ do barier we wspรณลpracy. Niniejsza praca identyfikuje najistotniejsze wyzwania komunikacyjne oraz analizuje wpลyw technik facylitacyjnych na usprawnienie wspรณลpracy w projektach IT, koncentrujฤ c...
Zmiany w oprogramowaniu stanowiฤ
najwiฤkszฤ
czฤลฤ kosztรณw ponoszonych podczas jego utrzymywania. Optymalizacja kosztรณw, a w szczegรณlnoลci czasu poลwiฤconego na wprowadzanie zmian umoลผliwia organizacjom utrzymujฤ
cym oprogramowanie uzyskanie przewagi konkurencyjnej. Kluczowฤ
aktywnoลciฤ
w modyfikacji kodu ลบrรณdลowego jest jego zrozumienie, na co wpลyw ma zastosowana struktura klas.
Prezentacja...
