Institute de Cercetare / Research Institutes

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    Transportation Problems, the Braess Paradox and Network Coordination [Articol]
    (2024) Gorbachuk, Vasyl; Dunaievskyi, Maksym; Havrylenko, Serhiy
    Traveling through the transport network or sending information packets via the Internet is implicitly based on game-theoretic considerations: a specific decision-maker (DM), choosing his or her route, takes into account the probability of congestion depending on all DMs, that is, other routes. Based on similar considerations, it is possible to develop models for network traffic. These models explain some paradoxical observations where increasing the capacity of a given network can slow down its traffic under certain circumstances.
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    Algorithm to Minimize the Worst-Case Regret Function [Articol]
    (2024) Godonoaga, Anatol; Chumakov, Borys
    This paper examines mathematical model of decision-making under conditions of uncertainty, when Savage’s regret function is used as the objective function. Numerical algorithm for solving the corresponding problems are proposed, based on the implementation of parallel minimization of indicators for each state of nature and the indicator of greatest regret. The algorithms are developed based on the generalized gradient projection method.
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    Strong Edge-Colorings of Some Lexicographic Products of Graphs [Articol]
    (2024) Drambyan, Aram
    The edge-coloring of a graph G is strong if edges at distance 0 or 1 receive different colors. The minimum number of colors required for a strong edge-coloring of G is called strong chromatic index of G and denoted by χ′ s(G). In this paper, we determine the exact value of the strong chromatic index of lexicographic products of graphs G and H when Δ(G) ≤ 2 and H is an arbitrary graph, and provide an upper bound on χ′ s(G[H]) when Δ(G) = 3 and H is an arbitrary graph.
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    Semi-Markovian Networks [Articol]
    (2024) Damian, Iulia
    In stochastic networks, a series of new problems appear, because the output flow of messages from one node forms the input flow to another node (or other nodes), which is not Poisson, and the serving of messages in the nodes of these networks is no longer exponential type. Such networks are called semiMarkovian networks and, therefore, the mathematical analysis of semi-Markovian networks is complicated and requires the application of some modern departments of mathematics.
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    Experimental Closed-Loop Identification of the Third Order Inertial Systems with Time Delay [Articol]
    (2024) Cojuhari, Irina
    n this paper, it is analysed the problem of mathematical identification in the closed-loop and it is proposed an approach for experimental identification, based on the undamped step response of the closed-loop control system. According to the proposed procedure, the dynamics of the control object is proposed to be approximated with transfer function with inertia third order and time delay. The obtained results are verified by computer simulation in MATLAB software package.
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    Collocation Method for Solving Singular Integral Equations with Discontinuous Coefficients [Articol]
    (2024) Capcelea, Maria; Capcelea, Titu
    The paper presents an efficient method for solving the Cauchy singular integral equation, which is defined on a closed and smooth contour in the complex plane. The coefficients and the right-hand side of the equation are piecewise continuous functions, numerically defined on a finite set of points along the contour.
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    MILP Model for Scheduling Jobs and Crews with Employee Workload Balancing and Job Lateness
    (2024) Buzatu, Radu
    This study aims to propose an original and flexible mixed integer linear programming (MILP) model for scheduling jobs and crews. The proposed model minimizes the costs of assigning jobs to crews, employee workload heterogeneity and job lateness.
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    Implementing Convolutional Neural Networks and Vision Transformers for Satellite Image Processing [Articol]
    (2024) Țurcan, Matei-Octavian; Caftanatov, Olesea
    This paper explores the application of Vision Transformers (ViT) for satellite imagery classification, inspired by the widespread use of transformers in language processing and related computer vision research. The study involved training a ViT model on the EuroSAT dataset and comparing its performance with ResNet50. Additionally, a hybrid model architecture integrating CNNs with ViTs was proposed to leverage the strengths of both approaches.
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    Exploring Interactive 3D Object Interaction by Integrating Augmented Reality and Voice Control [Articol]
    (2024) Titchiev, Inga; Caftanatov, Olesea; Caganovschi, Daniela; Talambuta, Dan
    This paper explores the integration of augmented reality (AR) and voice command technology in educational settings, specifically focusing on the interactive control of 3D object models. By combining AR with voice commands, students can engage in immersive learning experiences, allowing them to visualize and manipulate digital objects in real-time. This approach enhances understanding of complex concepts, increases student engagement, and offers accessible learning opportunities for all students.
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    Early Detection of Cyber Attacks Using Decoy Systems – Analysis of Deception-Based Cyber Security Strategies [Articol]
    (2024) Spiridon, Mădălina; Alboaie, Lenuța; Gavriluț, Dragoș
    Deception technology is a modern security solution that provides specific actions against malicious activities and is a relevant component for a complete approach to cyber security. The methodology behind this solution involves the creation and deployment of decoy assets, easy to configure and highly attractive, encouraging attackers to engage with them. The dynamic aspect of continuously producing and updating these decoy assets has been a major discovery point in this field.