Blockchain technology gained much traction in the last few years. These decentralized databases offer security, immutability, and scalability across various applications. Decentralized applications generate vast amoun...
Blockchain technology gained much traction in the last few years. These decentralized databases offer security, immutability, and scalability across various applications. Decentralized applications generate vast amounts of data, known as events, that are recorded on the blockchain and are public to anyone. Some people may see opportunities for financial gains in these events and would like to know when they occur. This paper proposes a solution to process and deliver those events as real-time alerts to the users. It uses existing technologies such as message queues, multithreading, and asynchronous processing and integrates them into a scalable architecture. The results we achieved in this paper show that for an evenly distributed network traffic, which does not entirely consists of transaction bursts, the proposed solution offers reliability, efficiency, and a suitable delivery time to those wishing to integrate it into their projects. With time, this solution, or improved architectures, may form the basis of the following big-data architectures for processing blockchain events.
Brain-computer Interface (BCI) identifies user thinking through different electrophysiological signals. These signals are detected through electrodes placed on the scalp, and the neuronal activity of the cortical is c...
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Due to the recent research advances on quantum computing, ideas from this field have been increasingly used as a source of inspiration for new variants of evolutionary algorithms. In this paper, the QIEA-SSEHC algorit...
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Due to the recent research advances on quantum computing, ideas from this field have been increasingly used as a source of inspiration for new variants of evolutionary algorithms. In this paper, the QIEA-SSEHC algorithm is proposed for solving multi-attribute combinatorial auction problems in multi-agent systems, characterized by an evolutionary hill-climbing phase, a steady state model and a repair procedure to keep all the individuals feasible. The results are compared to those of NSGA-II, a well-known multi-objective evolutionary algorithm, and convergence and diversity metrics are used to assess the quality of multidimensional solutions.
key phase in the design process of software for distributed systems is the allocation of the software components to the available hardware. A problem arises when a software/hardware mismatch occurs. This paper present...
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key phase in the design process of software for distributed systems is the allocation of the software components to the available hardware. A problem arises when a software/hardware mismatch occurs. This paper presents a solution to that problem by introducing a technique that guarantees efficient allocation of predefined scheduled object-oriented software components to the available hardware based on genetic algorithm. The allocation is to be made dynamically in a system with a predefined schedule. We thus modified the parameters of the genetic search technique to allow converging to the best solution in a relatively short time to be suitable for the dynamicity of the allocation. The performance of the allocation technique is evaluated in terms of the time cost (CPU clock pulses for more generality) required for the GA search to converge to the optimal allocation structure of the software components. The results obtained by the proposed technique are compared against the results from the branch-and-bound search technique. The experimental results indicate the effectiveness of the proposed technique in reaching the optimal allocation in considerable time, showing that it requires much less time than branch-and-bound.
This paper describes the design and software implementation of a wearable prototype that allows users to monitor the vital signs of COVID-19 patients in quarantine areas. This prototype consists of two parts, the brac...
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Nowadays, we can observe a growing interest in sustainable buildings. Sustainable development cannot be achieved without introducing innovations in green building;therefore, innovations are important component of sust...
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Magnetic nanofibers are of great interest for applications like data transport and storage as well as in basic research. Especially bent nanofibers, which can unambiguously be produced by electrospinning, show a broad...
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Nowadays, novel construction materials, more efficient power supplies and advanced artificial intelligence algorithms allow one to use unmanned aerial vehicles (UAV) in various fields of life. One of the biggest event...
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ISBN:
(纸本)9781479987023
Nowadays, novel construction materials, more efficient power supplies and advanced artificial intelligence algorithms allow one to use unmanned aerial vehicles (UAV) in various fields of life. One of the biggest events promoting this idea is the Air Cargo Challenge (ACC) competition. In this paper the motivation for ACC participation and the overall procedure of CAD aided UAV design are presented. The nonlinear aircraft model as well as Computational Fluid Dynamic simulations are discussed. Finally, some details concerning designed UAV prototype are revealed.
Great disasters such as earthquakes can cause large disruptions in the normal lives of people, as well as human and material losses. Therefore, risk management measures are always necessary to reduce or avoid potentia...
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