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Trust has been a hotspot for adopting cloud computing. This paper proposes a hybrid model to build, evaluate and expose trust. It uses different techniques like sliding window technique to reach optimum processes for trust value delivery. Trust value is evaluated through integrated mechanisms from literature. Moreover, measuring trust included evaluating SLA violations side to side with consumer customized...
The rapid growth in cloud service demand has led to the establishment of large-scale virtualized data centers. However data centers consume a large amount of energy resulting in high operating costs and contributing to significant greenhouse gas (GHG) emissions. In cloud computing systems, users' demands are met through deployment of Virtual Machines (VMs) on Physical Machines (PMs). We propose to...
Researchers have proposed that the reliability of software prediction models can be assessed by the following most widely used evaluation criterion, i.e., Difference Measure and Ratio Measure. Ratio measure is more suitable for the assessment of the accuracy in software cost estimation. Results in this research demonstrated that applying proposed method to the software effort estimation is by far...
Based on the classic SIR model, this paper proposes a new rum or spreading model which considers the transition probability of nodes from to as a variable instead of a constant. The transition probability is related with. Then, this paper introduces a controllable variable which denotes the rate of people who are converted from susceptible ones to immune ones. This controllable variable represents...
Intrinsically high-dimensional data has recently been shown to exhibit substantial hubness in terms of skewness of the k-nearest neighbor occurrence frequency distribution. While some points arise as centers of influence and dominate most k-nearest neighbor sets, other points occur very rarely and barely affect the inferred models. Hubness has been shown to be highly detrimental to many learning tasks...
Crowd simulation has been widely used in virtual building evacuation, crowd behavior drilling, movie making, entertainment and many other fields. So far, it is still a difficult problem to synthesize realistic large-scale crowd rendering with an interactive frame-rate in the real-time applications. Therefore, efficiency is a pivotal problem to resolve. This paper proposes a hybrid approach to guide...
Spreadsheets are by far the most used programs that are written by end-users. They often build the basis for decisions in companies and governmental organizations and therefore they have a high impact on our daily life. Ensuring correctness of spreadsheets is thus an important task. But what happens after detecting a faulty behavior? This question has not been sufficiently answered. Therefore, we...
3D garment has complex and flexible shape. In order to obtain realistic texture mapping results with various garment models, an efficient and simple mesh parameterization method is presented in this paper. The key idea in this work is to partition the garment model using geometrical feature line that is composed of several mesh edges and to parameterize the mesh facet after partitioning. We achieve...
Modeling and analysis of low frequency noise in circuit simulators with time-varying bias conditions is a long-standing open problem. In this paper, we offer a definite solution for this problem and present a model for low-frequency noise that captures the internal, stochastic dynamics of the individual noise sources via dedicated internal pseudo nodes that are coupled with the rest of the circuit...
Serial estuarine hydrodynamic and sediment transport model is parallelized by MPI method based on domain decomposition techniques, the parallel model is applied to a hydrodynamic example of tidal current and sediment transport in the estuary and offshore area of Zhejiang in China. The benchmark result shows that MPI method has good parallel effect, whose speedup is accessible to 41 by 80 processors...
The proton exchange membrane fuel cell (PEMFC) is considered as a potential candidate of the hydrogen applications on the power sources in the future. This work depicts the steady-state single phase transport of reactants and water in a three dimensional computational domain of a low temperature Polymer Electrolyte Membrane Fuel Cell. The model computational domain includes anode and cathode flow...
This paper presents a new current transformer model which can simulate waveform of secondary current taking saturation into account. The knowledge of the magnetic core behavior is an important criterion for CT design. Hence models that can accurately simulate the behavior of the magnetic materials are required. The paper proposes three models, namely, the Von-Bertalanffy Growth model, Modified Frohlich...
Solar radiation is a source of alternative energy that is very influential on the photovoltaic performance in generating energy. The need for solar radiation estimation has become a significant feature in the design of photovoltaic (PV) systems. Recently, the most popular method used to estimate solar radiation is artificial neural network (ANN). However, a new approach, called the extreme learning...
Model reference adaptive system (MRAS) is one of the popular methods to observe the speed and the angle information of the Permanent magnet synchronous motor (PMSM). This paper proposes a new adaptation scheme for MRAS to replace the conventional PI controller based on Popov Hyperstability theorem. In this project, the speed of PMSM is controlled by using field oriented control (FOC) method and the...
In this paper, modeling of overcurrent relay (OCR) curves using adaptive neuro fuzzy inference system (ANFIS) are proposed. The accurate models of OCR curve with inverse time relay characteristics have an important role for protection coordination of power system. Models of OCR curve are appropriate with IEC standard. This model implements of microcontroller AT mega 128 as digital relay and personal...
Semantic computing is an important task in the research of natural language processing. For the problem of the inaccurate conceptual graph matching, this paper proposed the algorithm based on Conceptual sub-Graph weight self-adjustment. Based on the in tensional logic model of Chinese concept connotation, using Recursive Conceptual Graph as knowledge representation method and combining with the computation...
Vehicles accidents are events that occur in the process of road traffic and lead to material and/or immaterial damages and in many cases to death of the road users. In this paper we propose and develop a Web based tool for analysis, visualization and animation of vehicle crash accidents. The method based on conservation of linear and angular momentum for the system of rigid bodies, combined with additional...
Playing a vital role, saliency has been widely applied for various image analysis tasks, such as content-aware image retargeting, image retrieval and object detection. It is generally accepted that saliency detection can benefit from the integration of multiple visual features. However, most of the existing literatures fuse multiple features at saliency map level without considering cross-feature...
We will define two models of error-detecting codes based on quasigroups of arbitrary order. For some special cases of these two models we provide experimental results for the probability of undetected errors if a given quasigroup of order 4 is used for coding. At the end, we will compare the considered special cases.
The inherent randomness of turbulence makes it one of the most difficult phenomena to model. The need to accurately describe turbulence gave rise to the development of empirical turbulence models. Accurate prediction of the onset of turbulence and flow separation is critical in estimating the lift and drag force on a rotating cylinder immersed in a fluid stream. The objective of this study is to narrow...
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