Politehnica University of Timișoara (Romanian: Universitatea Politehnica Timișoara; abbreviated UPT) is a public university in Timișoara. Founded in 1920, it is one of the largest technical universities in Central and Eastern Europe. The 10 faculties of the university provide study programs for about 13,000 students. In 2011, Politehnica University of Timișoara was classified as an advanced research and education university by the Ministry of Education. The university is a founding member of the Romanian Alliance of Technical Universities (ARUT).
Integral inequalities, in general, serve as powerful tools for various applications. Specifically, when an integral operator is used as a predictive tool, an integral inequality can play a key role in defining, quantifying, and analyzing such processes. Real-valued functions over a fuzzy domain, also referred to as real-valued fuzzy functions, offer a valuable approach for incorporating uncertainty into prediction models. In this paper, using a straightforward proof method over a newly defined triangular LPL_PLP fuzzy space, we establish several new refinements for integral forms of the classical Hölder’s and newly defined triangular Hölder’s-like inequality. Numerous existing inequalities linked with the triangular Hölder’s-like inequality over a fuzzy domain can be improved through the newly obtained ones, as illustrated through applications such as the triangular Hölder’s power-mean-like integral inequality, triangular Cauchy–Schwarz-like inequality, triangular Minkowski’s-like inequality, and triangular Beckenbach’s-like inequality over a fuzzy domain. Additionally, our outcomes represent significant progressions in the field of mathematics.
Dynamical software reconfiguration represents a major direction in nowadays research due to its promise of providing faster solutions to ever changing problems by adding more flexibility to any given software solution at the cost of processing power, cost which given the relentless progress made by hardware manufacturers is becoming insignificant. This paper was designed as a complete overview of the software reconfiguration paradigm, looking at it from all the relevant angles - pros and cons, where to use and where not to use, challenges and solutions in implementation. Keywords: Software reconfiguration, Reconfigurable software architecture, Design paradigms, Reconfiguration challenges.
The paper offers new stability results concerning the Takagi-Sugeno (T-S) fuzzy control systems dedicated to a class of Single Input-Single Output (SISO) nonlinear time-varying systems. Lyapunov's approach based on quadratic positive definite Lyapunov function candidates is emplyed to derive a sufficient uniform asymptotic stability condition. An illustrative example validates the stability analysis results by the design of a T-S fuzzy control system for a SISO nonlinear process. Keywords: Lyapunov function candidates, nonlinear time-varying systems, Takagi-Sugeno fuzzy control systems, uniform asymptotic stability. 2000 MSC: 93C42, 93C10, 37M05.
The current use of remote sensing allows the analysis of soil moisture levels, surface roughness, and texture. These methods help improve our comprehension of soil processes and facilitate informed decision-making, land management, environmental research, soil classification, and more. Currently, artificial intelligence (AI) techniques, such as machine learning (ML) and deep learning (DL), have the potential to be quite impressive in making accurate and efficient predictions for soil texture classification. The use of AI-based methods and techniques for combining data to process satellite imagery and Earth observation data has recently introduced new opportunities for tracking environmental changes and assessment. In this study, we examine a range of recent applications of AI-based methods and techniques for soil data analysis, including regional classification, continuous mapping with automated algorithms, and the optimization (design/re-design) of monitoring networks. Traditional soil classification and analysis methods have many challenges such as time consuming, very high cost, intrusiveness, among others. By accurately measuring the geotechnical properties and characteristics of soil using these methods combined with suitable ML algorithms will lead to different methods and techniques for soil classification. The integration of AI-based approaches in geotechnical engineering will lead to a new direction in risk assessment. The wide range of applications, from forecasting soil failures and landslides to evaluating structural stability, highlights the significant potential of this synergy.
Blockchain technology has rapidly evolved as a cornerstone of decentralized computing, transforming how trust, data integrity, and transparency are achieved in digital ecosystems. However, despite extensive adoption, significant gaps remain in understanding how key blockchain variables, such as block size, consensus mechanisms, and network latency, affect system vulnerabilities and susceptibility to cyberattacks. This survey addresses this gap by combining qualitative and quantitative analyses across multiple blockchain environments. Using simulation tools such as Ganache and Bitcoin Core, and reviewing peer-reviewed studies from 2016 to 2024, the research systematically maps blockchain parameters to cyberattack vectors including 51% attacks, Sybil attacks, and double-spending. Findings indicate that design choices like block size, block interval, and consensus type substantially influence resilience against attacks. The Blockchain Variable Quantitative Risk Framework (BVQRF) introduced here integrates NIST’s cybersecurity principles with quantitative scoring to assess risks. This framework represents a novel contribution by operationalizing theoretical security constructs into actionable evaluation metrics, enabling predictive modeling and adaptive risk mitigation strategies for blockchain systems.
