We report the XRD and Raman scattering measurements in combination with DFT calculations that reveal the formation of beryllium polyhydride Be4H8(H2)2 by laser heating Be/H2 mixture to above 1700 K at pressures betwee...
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In many dynamic environments, where humans and agents coexist, agents cooperate for internal and external resources to achieve their goals. Consequently, the agents are exposed to the risk of being attacked by malicio...
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In many dynamic environments, where humans and agents coexist, agents cooperate for internal and external resources to achieve their goals. Consequently, the agents are exposed to the risk of being attacked by malicious agents. Such situation, if not mitigated, risks the entire model and threatens its long-term performances. Due to uncertainties of an agent and its potential behavior, especially in human-agent collaboration systems, an agent might behave fraudulently to its partners (humans or agents). Therefore, security is a crucial aspect in the initial development of a collaborative human-agent system. However, many research envisages the security aspects only in the implementation stage. At this stage, a security model is strictly formulated based on the techniques and constraints among agents. Over the past decade, many researchers propose various security models with outstanding features. However, despite the features of the proposed security models, there is still a lack of research effort in security aspects for multi-agent systems, which is considered as a critical challenge. In this paper, we attempt to enhance the Generic Nodal Abstraction (GNA) approach with a security model applied among agents in their communication. The enhancements include authentication, message encryption and interaction constraints.
Arousal recognition from physiological signals is a task with many challenge remaining, especially when performed in several different domains. However, the need for emotional intelligent machines increases day by day...
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A method of analyzing human pulmonary X-rays using a few software procedures to process the images will be presented. Photographs of the lungs were investigated and images of the arteries were illustrated, successfull...
A method of analyzing human pulmonary X-rays using a few software procedures to process the images will be presented. Photographs of the lungs were investigated and images of the arteries were illustrated, successfully extracting the shadows due to the ribs and the lung itself through an advanced algorithm. This paper presents a solution for processing and interpretation of pulmonary X-ray images in order to deploy a better fractal analysis, to find out the fractal dimension and lacunarity for arteries network.
Due to the tremendous development in the field of computer and software sciences, the theory of graphics has spread widely and quickly, even becoming one of the most important sciences that played a large role in solv...
Due to the tremendous development in the field of computer and software sciences, the theory of graphics has spread widely and quickly, even becoming one of the most important sciences that played a large role in solving many problems of many diverse applications. These applications include computer protocols, Google Maps, games and more. Many researches have discussed shortest path algorithms to solve the shortest path problem in these applications. In this study, a very popular algorithms called Dijkstra algorithm and Bellman-Ford algorithm are used to make a comparison between them on the basis of complexity and performance in terms of shortest path optimization. Our results show that Dijkstra is better than the Bellman-Ford interms of execution time and more efficient for solving the shortest path issue, but the algorithm of Dijkstra work with non-negative edge weights.
In this paper, a direct numerical simulation technique, the Finite Element Fictitious Boundary Method (FBM), is used to simulate fluid–solid two-phase flows of different general shaped particles. The momentum interac...
In this paper, a direct numerical simulation technique, the Finite Element Fictitious Boundary Method (FBM), is used to simulate fluid–solid two-phase flows of different general shaped particles. The momentum interactions between solid and fluid phases are handled by using the FBM. The continuity and momentum equations are solved on a fixed Eulerian grid that is independent of flow features by using a discrete projection scheme inside a multi-grid finite element approach. A detailed description is presented for the geometric representation and modeling of two-dimensional particles of different general shapes, i.e., circular, elliptical, square, rectangular, triangular, and pentagonal shapes inside the fluid. We discussed the effects of particle shapes and the influences on the settling behavior of the particles. A comparison of the settling trajectories of the particles of the same mass but with different shapes is presented. Moreover, depending upon the particle’s shape, some interesting facts are discovered, which have a great influence on the particles’ trajectory and settling velocity. Some very important correlations between the drag force coefficient and particle’s Reynolds numbers with different density ratios of particles are obtained. Furthermore, we also studied the settling behavior of elliptical and rectangular particles with different axis ratios and a boomerang particle with different concave *** authors of the article agree to the retraction of the article effective AUGUST 20, 2021.
A financial data analysis using the time series method has been performed. At the same time a correct interpretation of daily exchange rates fluctuations, for Eur foreign currencies is presented. The fractal dimension...
A financial data analysis using the time series method has been performed. At the same time a correct interpretation of daily exchange rates fluctuations, for Eur foreign currencies is presented. The fractal dimension evaluation has been performed using the box-counting method, which allows for a rapid analysis of 2D images on two bits (white-black). A perfected version of this method has been employed to investigate the temporal evolution of a currency rate, which has oscillations predominantly on the vertical direction.
From fireflies to cardiac cells, synchronization governs important aspects of nature, and the Kuramoto model is the staple for research in this area. We show that generalizing the model to oscillators of dimensions hi...
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From fireflies to cardiac cells, synchronization governs important aspects of nature, and the Kuramoto model is the staple for research in this area. We show that generalizing the model to oscillators of dimensions higher than 2 and introducing a positive feedback mechanism between the coupling and the global order parameter leads to a rich and novel scenario: the synchronization transition is explosive at all even dimensions, whilst it is mediated by a time-dependent, rhythmic, state at all odd dimensions. Such a latter circumstance, in particular, differs from all other time-dependent states observed so far in the model. We provide the analytic description of this novel state, which is fully corroborated by numerical calculations. Our results can, therefore, help untangle secrets of observed time-dependent swarming and flocking dynamics that unfold in three dimensions, and where this novel state could thus provide a fresh perspective for as yet not understood formations.
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