Search results for: HEURISTICS - Bridge of Knowledge

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Search results for: HEURISTICS

Search results for: HEURISTICS

  • Defending against Fake VIP in Scant-Transparency Information Systems with QoS Differentiation

    Publication

    In client-server information systems with quality of service (QoS) differentiation, Client may deplete Server’s resources by demanding unduly high QoS level. Such QoS abuse has eluded systematic treatment; known defenses using Client authorization, payments, or service request inspection prior to QoS assignment, are heuristic and environment-specific. We offer a game-theoretic approach on the premise that a service request is occasionally...

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  • Enhancing Availability for Critical Services

    Publication
    • T. Gomes
    • L. Martins
    • R. Girão-Silva
    • D. Tipper
    • A. Pašić
    • B. Vass
    • L. Garrote
    • U. J. Nunes
    • M. Zachariasen
    • J. Rak

    - Year 2020

    Traditional approaches to provide classes of resilient service take the physical network availability as an input and then deploy redundancy and restoration techniques at various layers, often without full knowledge of mappings between layers. This makes it hard (and often inefficient) to ensure the high availability required by critical services which are typically a small fraction of the total traffic. Here, the innovative technique...

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  • Application of advanced spectroscopic methods in the assessment of the leachability degree of hazardous elements from the matrix of cellular concretea

    Due to its structure, autoclaved cellular concrete exhibits good insulating properties with relatively high compressive strength values. It is increasingly used in construction because of its economic attractiveness. Autoclaved cellular concrete is mainly used in interior structure layers, and therefore its potential exposure to heavy metal leaching from the matrix may be related to the presence of a high pH medium from other materials...

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  • Testing Stability of Digital Filters Using Multimodal Particle Swarm Optimization with Phase Analysis

    Publication

    - Year 2020

    In this paper, a novel meta-heuristic method for evaluation of digital filter stability is presented. The proposed method is very general because it allows one to evaluate stability of systems whose characteristic equations are not based on polynomials. The method combines an efficient evolutionary algorithm represented by the particle swarm optimization and the phase analysis of a complex function in the characteristic equation....

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  • Modelowanie podziału zadań przewozowych w obszarach zurbanizowanych

    Publication

    - Year 2018

    Niniejsza rozprawa doktorska dotyczy problematyki modelowania podziału zadań przewozowych w procesie modelowania podróży. Wykonane analizy wykazały zasadność zastosowania dodatkowych czynników w modelowaniu wyboru środka transportu z uwagi na ich istotny wpływ na jakość modelu dla wybranych motywacji podróży. W pracy zawarto przykładowe modele uwzględniające każdy z analizowanych czynników. Z wykorzystaniem badań heurystycznych...

  • Accident susceptibility index for a passenger ship-a framework and case study

    Publication
    • J. Montewka
    • T. Manderbacka
    • P. Ruponen
    • M. Tompuri
    • M. Gil
    • S. Hirdaris

    - RELIABILITY ENGINEERING & SYSTEM SAFETY - Year 2022

    The continuous monitoring and assessment of operational vulnerability and accident susceptibility of passenger ships is crucial from the perspective of ship and passenger safety. Despite the existing solutions for vulnerability monitoring, stemming mainly from watertight door operations, a comprehensive framework for accident susceptibility assessment and monitoring is missing in the literature. Therefore, this paper offers a...

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  • Cost-Efficient Optical Fronthaul Architectures for 5G and Future 6G Networks

    Publication

    - Year 2022

    Fifth-generation and Beyond (5GB) wireless networks have introduced new centralized architectures such as cloud radio access network (CRAN), which necessitate extremely high-capacity low latency Fronthaul (FH). CRAN has many advantageous features in terms of cost reduction, performance enhancement, ease of deployment, and centralization of network management. Nevertheless, designing and deploying a cost-efficient FH is still a...

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  • Metaheuristic algorithms for optimization of resilient overlay computing systems

    Publication
    • K. Walkowiak
    • W. Charewicz
    • M. Donajski
    • J. Rak

    - Logic journal of the IGPL - Year 2014

    The idea of distributed computing systems has been gaining much interest in recent years owing to the growing amount of data to be processed for both industrial and academic purposes. However, similar to other systems, also distributed computing systems are vulnerable to failures. Due to strict QoS requirements, survivability guarantees are necessary for provisioning of uninterrupted service. In this article, we focus on reliability...

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  • Integracja bezprzewodowych heterogenicznych sieci IP dla poprawy efektywności transmisji danych na morzu

    Publication

    - Year 2023

    Wraz ze wzrostem istotności środowiska morskiego w naszym codziennym życiu np. w postaci zwiększonego wolumenu transportu realizowanego drogą morską. czy zintensyfikowanych prac dotyczących obserwacji i monitoringu środowiska morskiego, wzrasta również potrzeba opracowania efektywnych systemów komunikacyjnych dedykowanych dla tego środowiska. Heterogeniczne systemy łączności bezprzewodowej integrowane na poziomie warstwy sieciowej...

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  • 5G/6G optical fronthaul modeling: cost and energy consumption assessment

    In fifth generation (5G) and the future beyond 5G (6G) radio access networks (RANs), the cost of fronthaul deployment is a main challenge for mobile network operators. Depending on different constraints, there are various solutions to deploy an efficient fronthaul. Fiber-optic-based fronthaul offers long-term support with regard to a rapid increase in capacity demands. When fiber connections, either point-to-point (P2P) or point-to-multipoint...

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  • OOA-modified Bi-LSTM network: An effective intrusion detection framework for IoT systems

    Publication
    • S. S. Narayana Chintapalli
    • S. Prakash Singh
    • J. Frnda
    • B. P. Divakarachar
    • V. L. Sarraju
    • P. Falkowski-Gilski

    - Heliyon - Year 2024

    Currently, the Internet of Things (IoT) generates a huge amount of traffic data in communication and information technology. The diversification and integration of IoT applications and terminals make IoT vulnerable to intrusion attacks. Therefore, it is necessary to develop an efficient Intrusion Detection System (IDS) that guarantees the reliability, integrity, and security of IoT systems. The detection of intrusion is considered...

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  • Generalized regression neural network and fitness dependent optimization: Application to energy harvesting of centralized TEG systems

    Publication

    - Energy Reports - Year 2022

    The thermoelectric generator (TEG) system has attracted extensive attention because of its applications in centralized solar heat utilization and recoverable heat energy. The operating efficiency of the TEG system is highly affected by operating conditions. In a series-parallel structure, due to diverse temperature differences, the TEG modules show non-linear performance. Due to the non-uniform temperature distribution (NUTD) condition,...

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  • Estimation of Stresses in a Dry Sand Layer Tested on Shaking Table

    Publication

    Theoretical analysis of shaking table experiments, simulating earthquake response of a dry sand layer, is presented. The aim of such experiments is to study seismic-induced compaction of soil and resulting settlements. In order to determine the soil compaction, the cyclic stresses and strains should be calculated first. These stresses are caused by the cyclic horizontal acceleration at the base of soil layer, so it is important...

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  • Marine and Cosmic Inspirations for AI Algorithms

    Publication

    Artificial Intelligence (AI) is a scientific area that currently sees an enormous growth. Various new algorithms and methods are developed and many of them meets practical, successful applications. Authors of new algorithms draw different inspirations. Probably the most common one is the nature. For example, Artificial Neural Networks were inspired by the structure of human brain and nervous system while the classic Genetic Algorithm...

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