Time-Sensitive Networking (TSN) is a set of amendments that extend Ethernet to support distributed safety-critical and real-time applications in the industrial automation, aerospace and automotive areas. TSN integrate...
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When data contains measurement errors, it is necessary to make assumptions relating the observed, erroneous data to the unobserved true phenomena of interest. These assumptions should be justifiable on substantive gro...
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Everyday situations each day more often require us to solve sometimes even complex decisional problems. Such conditions may include the problem of choice when purchasing services, products or devices. The ever-increas...
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Everyday situations each day more often require us to solve sometimes even complex decisional problems. Such conditions may include the problem of choice when purchasing services, products or devices. The ever-increasing assortment of products and services makes it more and more time-consuming for customers to choose the most suitable product for them. Following their intuition or considering only some selection criteria may result in an unsatisfactory choice. Decision making in multi-criteria selection problems needs the consideration of many factors, which are often conflicting. For this purpose, more people reach for multi-criteria decision methods (MCDM). These methods provide an easy way of solving a given problem under certain circumstances. With the increasing popularity of those methods, more are developed each day. This paper presents an approach based on four MCDM methods applied to solve the problem of choosing the most favourable CPU model available on the market regarding price and performance, among other criteria. For this purpose, COMET, TOPSIS, VIKOR and PROMETHEE II methods were performed. Later, a comparative analysis of the rankings obtained using the applied methods was conducted. Rankings provided by used methods were compared using correlation coefficients. The research showed that choosing a specific method is relevant for the results and that real-life problems can be successfully solved using multi-criteria decision methods. The obtained results confirm the suitability of MCDM methods as a decision support tool for consumers’ product selection. Applications based on MCDM allowing customers to perform multi-criteria analysis of a set of products could contribute to increased consumer satisfaction and growth of popularity and competitiveness of online stores providing them.
In this paper, we propose a numerical scheme for fluid models of magnetised plasmas. One important feature of the numerical scheme is that it should be able to handle the anisotropy induced by the magnetic field. In o...
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This paper presents a new approach to evaluate sustainable energy consumption in selected European countries for the industrial sector and to identify which country is leading in this respect. Energy consumption has b...
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This paper presents a new approach to evaluate sustainable energy consumption in selected European countries for the industrial sector and to identify which country is leading in this respect. Energy consumption has been on a continuously rising trend due to industrial development, migration of people from rural to urban areas and growing energy demand in the service sector. Therefore, it is essential to increase the share of renewable sources in energy consumption because it allows reducing the share of non-renewable sources, which significantly contribute to carbon dioxide emissions to the atmosphere. The assessment of the effectiveness of actions taken to improve the sustainability of energy consumption requires the consideration of many different criteria. The practical usefulness of multi-criteria decision analysis (MCDA) methods in this task has been proven in the literature. The structure of the model evaluated was based on criteria made available by the European Statistical Office (EUROSTAT). The study was conducted using four MCDA methods (TOPSIS, VIKOR, COMET and PROMETHEE II). The results obtained proved the usefulness and adequacy of the selected MCDA methods in assessing the problem in question. It was possible to clearly identify the country with the most sustainable energy consumption in terms of the established principles.
The asymptotic approach is suggested for the description of stationary patterns formed by two plane solitons interacting at an angle to each other within the 2D Gardner equation that describes internal waves in oceans...
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The asymptotic approach is suggested for the description of stationary patterns formed by two plane solitons interacting at an angle to each other within the 2D Gardner equation that describes internal waves in oceans. The approach is applicable both to integrable and nonintegrable evolution equations possessing soliton solutions. An approximate set of equations describing soliton fronts in the x,y -plane is derived for symmetric soliton patterns and solved analytically for small-amplitude solitons and numerically for large-amplitude solitons. Spatial shifts of soliton fronts caused by the nonlinear interaction of solitons are obtained.
The isogeny-based scheme CSIDH is a promising candidate for quantum-resistant static-static key exchanges with very small public keys, but is inherently difficult to implement in constant time. In the current literatu...
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ISBN:
(数字)9781728195629
ISBN:
(纸本)9781728195636
The isogeny-based scheme CSIDH is a promising candidate for quantum-resistant static-static key exchanges with very small public keys, but is inherently difficult to implement in constant time. In the current literature, there are two directions for constant-time implementations: algorithms containing dummy computations and dummy-free algorithms. While the dummy-free implementations come with a 2x slowdown, they offer by design more resistance against fault attacks. In this work, we evaluate how practical fault injection attacks are on the constant-time implementations containing dummy calculations. We present three different fault attacker models. We evaluate our fault models both in simulations and in practical attacks. We then present novel countermeasures to protect the dummy isogeny computations against fault injections. The implemented countermeasures result in an overhead of 7% on the Cortex-M4 target, falling well short of the 2x slowdown for dummy-less variants.
With the recent rising number of personal drones, the market is growing with more and more new drones. The actual number of alternatives is unsuspectedly huge. Nevertheless, each year their characteristics are only im...
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With the recent rising number of personal drones, the market is growing with more and more new drones. The actual number of alternatives is unsuspectedly huge. Nevertheless, each year their characteristics are only improving, which only complicate the selection. The manual optimal choice is a significant challenge, likely even impossible. Still, the most efficient way to estimate the ranking of the alternatives is a multi-criteria decision analysis (MCDA). In this paper, we use MCDA methods towards objective multi-criteria drone evaluation. Our work is based on VIKOR and COMET method which have presented their efficiency in many works with multi-criteria problems. For optimal selection on twelve alternatives of drones, nine criteria were used and two MCDA methods with the same weights. Finally, the result is presented and discussed in the end.
A mathematical model of biological wastewater treatment has been developed. Mathematical model describes the processes occurring at the treatment plant, taking into account the mutual effects of a range of process cha...
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ISBN:
(数字)9781728167602
ISBN:
(纸本)9781728167619
A mathematical model of biological wastewater treatment has been developed. Mathematical model describes the processes occurring at the treatment plant, taking into account the mutual effects of a range of process characteristics. The influence of external factors for temperature calculation based on thermal balance equation and thermodynamics laws is taken into account. The solution of the corresponding problem was found using the Matlab software environment and pdepe function for solving initial-boundary value problems for systems of parabolic and elliptic partial differential equations in one space variable and time. The results of pollution concentration distribution and temperature distribution over the time of liquid purification are presented. The influence of the aqueous medium temperature and the oxygen concentration on the activated sludge absorption capacity is investigated. The dependence of bacteria activity on the water temperature is shown, which makes it possible to predict and automate technological processes of biological wastewater treatment in a more detailed and comprehensive way.
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