Defining a protocol for commit consensus problem in distributed database transactions is not an easy task because we have to think about a fault tolerant system. In this paper, I present a fault tolerant and simple me...
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The neural correlates of face individuation – the acquisition of memory representations for novel faces – have been studied only in coarse detail and disregarding individual differences between learners. In their se...
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The main goal of the paper is to study the equilibria of a nonlinear system, proving the existence and uniqueness of an equilibrium point in the positive ortant. We also provide numerically tractable conditions (by us...
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The subject of the article is a simulation of heat affected components of a device for deep drawing by extreme conditions in vacuum by high temperatures required for forming of crystallization containers made from thi...
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The modern approach to the quality of service (QoS) claims that problems of assurance of the required QoS parameters may occur not only in core networks (as the classic approach assumes), but also in access networks (...
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There are already plenty of Internet of Things (IoT) architectures and systems available worldwide and this creates challenges for software development and systems entities that use these platforms. Global visibility ...
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Behavior evaluation of tumor and normal cell lines, under the influence of mixture between cytostatic and immunomodulatory compounds represents a challenge in oncologic research, because it is expected that in the pre...
Behavior evaluation of tumor and normal cell lines, under the influence of mixture between cytostatic and immunomodulatory compounds represents a challenge in oncologic research, because it is expected that in the presence of immunomodulatory compound, the normal cells will be less affected and the tumor cells will be destroyed much more. The aim of this paper is to predict the behavior of tumor cell line (FaDu) and normal cell line (HUVEC) under the influence of cytostatic compound named Cisplatin (CisPt) and under the influence of immunomodulatory compound named Curcumin (CR), in order to obtain an optimal mixing ratio between these two compounds. Based on the results obtained in Lab regarding the response of the two cell lines evolution vs. the treatment with each reagent in the concentration range of (0-100μM/mL), it was tried to model the behavior of the system in presence of these two compounds, using a fuzzy prediction. The obtained results were compared with predictions resulted from fuzzy simulation. Analyzing the numeric values, the best results were obtained in the case of prediction regarding HUVEC behavior with a fuzzy simulation.
Queuing theory has been extensively used in the modelling and performance analysis of cloud computing systems. The phenomenon of the task (or request) reneging, that is, the dropping of requests from the request queue...
Queuing theory has been extensively used in the modelling and performance analysis of cloud computing systems. The phenomenon of the task (or request) reneging, that is, the dropping of requests from the request queue often occur in cloud computing systems, and it is important to consider it when developing performance evaluations models for cloud computing infrastructures. Majority of studies in the performance evaluation of cloud computing data centres with the use of queuing theory do not consider the fact that the tasks could be removed from queue without being serviced. The removal of tasks from the queue could be due to the user impatience, execution deadline expiration, security reasons, or as an active queue management strategy. The reneging could be correlated in nature, that is, if a request is dropped (or reneged) at any time epoch, and then there is a probability that a request may or may not be dropped at the next time epoch. This kind of dropping (or reneging) of requests is referred to as correlated request reneging. In this paper we have modelled a cloud computing infrastructure with correlated request reneging using queuing theory. An M/M/1/N queuing model with correlated reneging has been used to study the performance analysis of the load balancing server of a cloud computing system. The steady-state as well as the transient performance analyses have been carried out. Important measures of performance like average queue size, average delay, probability of task blocking, and the probability of no waiting in the queue are studied. Finally, some comparisons are performed which describe the effect of correlated task reneging over simple exponential reneging.
In this work, we establish different control design approaches for discrete-time systems, which build upon the notion of finite-step control Lyapunov functions (fs-CLFs). The design approaches are formulated as optimi...
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Sampled channel impulse response (CIR) of a sparse propagation environment usually has a structure of compressible signal, which can be approximated by a sparse one using compressive sensing methods like Orthogonal Gr...
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Sampled channel impulse response (CIR) of a sparse propagation environment usually has a structure of compressible signal, which can be approximated by a sparse one using compressive sensing methods like Orthogonal Greedy Algorithms (OGA). An accuracy of the estimated CIR taps depend on ambient noise and the CIR taps that have not been recovered yet. The Mean Square Error (MSE) is a popular measure to quantify the identification error between the estimated CIR and the actual one. A theoretical study of the MSE metric and some average properties of the OGA residual error have contributed to propose a MSE-based rule to control an iterative process of greedy methods. The conducted numerical experiments show that the suggested rule, applied to stop the Orthogonal Matching Pursuit (OMP) algorithm, provides a fine control over the identification process of the compressible CIRs.
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