Papers by AliReza Ghanbari
Adaptation as a Service
Current and emerging complex systems of many types including but not limited to big data systems,... more Current and emerging complex systems of many types including but not limited to big data systems, web-based systems, data centers and cloud infrastructure, social networks and the Internet of Things (IoT) have increasingly distributed and dynamic architecture that provide unprecedented flexibility in creating and supporting applications. However, such highly distributed architecture also increases the complexity of end-to-end management of such systems. Due to the sheer complexity, uncertainty and at the same time programmability of cloud environments, microservices and finally big data analytics, it is now required, and possible, to enable autonomic management in distributed systems in a dependable manner. In this paper, we argue that building autonomic management systems is a challenging task and requires its own set of expertise and knowledge. Therefore, in the light of current challenges, available enablers and recent successful stories, we propose the idea of moving from self-adaptation to ADaptation-as-a-Service (ADaaS).
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2018
One of the important thermophysical properties is viscosity which expresses the resistance of flu... more One of the important thermophysical properties is viscosity which expresses the resistance of fluid to flow. The least squares support vector machine (LSSVM) algorithm is proposed as a novel method for prediction of dynamic viscosity of different normal alkanes in a wide range of pressure and temperature. As this study is purely computational, 228 experimental data points were gathered from literature for training and validation of the model. The outcomes of the LSSVM algorithm were compared with the actual data with acceptable average absolute relative deviation and the coefficient of determination (R 2) of 1.014 and 0.9968, respectively. The comparisons showed that the predicting model has the potential of prediction of n-alkane dynamic viscosity in terms of pressure, temperature, and carbon number of n-alkane, so this strategy can be used as a simple tool for predicting the behavior of reservoir fluids.
Applications of Mathematics, 2019
We consider the problem of determining the unknown source term f = f (x, t) in a space fractional... more We consider the problem of determining the unknown source term f = f (x, t) in a space fractional diffusion equation from the measured data at the final time u(x, T) = ψ(x). In this way, a methodology involving minimization of the cost functional J(f) = l 0 (u(x, t; f)| t=T −ψ(x)) 2 dx is applied and shown that this cost functional is Fréchet differentiable and its derivative can be formulated via the solution of an adjoint problem. In addition, Lipschitz continuity of the gradient is proved. These results help us to prove the monotonicity and convergence of the sequence {J ′ (f (n))}, where f (n) is the nth iteration of a gradient like method. At the end, the convexity of the Fréchet derivative is given.
Petroleum Science and Technology, 2018
In the gas engineering the accurate calculation for pipeline and gas reservoirs requires great ac... more In the gas engineering the accurate calculation for pipeline and gas reservoirs requires great accuracy in estimation of gas properties. The gas density is one of major properties which are dependent to pressure, temperature and composition of gas. In this work, the Least squares support vector machine (LSSVM) algorithm was utilized as novel predictive tool to predict natural gas density as function of temperature, pressure and molecular weight of gas. A total number of 1240 experimental densities were gathered from the literature for training and validation of LSSVM algorithm. The statistical indexes, Root mean square error (RMSE), coefficient of determination (R 2) and average absolute relative deviation (AARD) were determined for total dataset as 0.033466, 1 and 0.0025686 respectively. The graphical comparisons and calculated indexes showed that LSSVM can be considered as a powerful and accurate tool for prediction of gas density.
Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns
Deep learning has shown potential in domains where large-scale annotated datasets are available. ... more Deep learning has shown potential in domains where large-scale annotated datasets are available. However, manual annotation is expensive, time-consuming, and tedious. Pixel-level annotations are particularly costly for semantic segmentation in images with dense irregular patterns of object instances, such as in plant images. In this work, we propose a method for developing high-performing deep learning models for semantic segmentation of wheat heads utilizing little manual annotation. We simulate a computationally-annotated dataset using a few annotated images, a short unannotated video clip of a wheat field, and several video clips from fields with no wheat. This dataset is then used to train a customized U-Net model for wheat head segmentation. Considering the distribution shift between the simulated and real data, we apply three domain adaptation steps to gradually bridge the domain gap. Only using two annotated images, we achieved a Dice score of 0.89 on the internal test set, i...
New Design of a 4-Bit Ripple Carry Adder on a Nano-Scale Quantum-Dot Cellular Automata
Moscow University Physics Bulletin
Quantum-dot cellular automata (QCA) is a new computing paradigm based on cellular automata with a... more Quantum-dot cellular automata (QCA) is a new computing paradigm based on cellular automata with appealing characteristics such as high speed, low power consumption, and high density for realizing quantum computers. On the other hand, an adder is the primary circuit in any digital processor and ripple carry adder is a basic building block of other adders. Therefore, efficient design of this type of adder may lead to the efficient design of the whole system. So, in this paper, a new design of ripple carry adder is proposed to decrease the number of cells and area as possible. Simulation results using QCA Designer verifies the correctness of the proposed circuit and validates its efficiency in terms of a number of cells and area.
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Papers by AliReza Ghanbari