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Assessing the overall quality (adequacy for a particular purpose) of existing test suites is a complex task. Their code coverage is a simple yet powerful attribute for this purpose, so the additional benefits of mutation analysis may not always justify the comparably much higher costs and complexity of the computation. Mutation testing methods and tools slowly start to reach a maturity level at which...
We tackle the cloud providers challenge of virtual machine placement when the client experienced Quality of Service (QoS) is of paramount importance and resource demand of virtual machines varies over time. To this end, this work investigates approaches that leverage measured dynamic data for placement decisions. Relying on dynamic data to guide decisions has, on the one hand, the potential to optimize...
Proliferation of internet technologies has changed the way content is created and exchanged through the Internet, prompting expansion of online networking applications and administrations. Online networking empower creation and exchanged the clients produced content and design of a scope of Internet-based applications. This development is fueled by more administrations as well as by the rate of their...
The estimation of rock surface weathering, much like the estimation of shear strength of rock joints, is facilitated by the use of statistical methods on linear profiles. Unfortunately, a number of factors ranging from the size of the sampling interval used to the mathematics of the roughness index chosen can misrepresent the true roughness of a surface. A method is proposed to simulate rock profiles...
Machine Translation may be defined as the task of transformation of source text from one language to another. In the following paper, we have discussed the improvement in quality of Machine Translation (MT) using Source text Rewriting. We have performed English to Hindi translation on our MT system and also translation of rewritten English text to Hindi and then compared their performances and evaluated...
In mixed-criticality systems functionalities of different criticalities, that need to have their correctness validated to different levels of assurance, co-exist upon a shared platform. Multiple specifications at differing levels of assurance may be provided for such systems; the specifications that are trusted at very high levels of assurance tend to be more conservative than those at lower levels...
Software effort estimation is vital but challenging activity during software development. In many small or medium-sized companies, such challenges are stemmed from historical data shortage. The problem can be solved by leveraging cross-company data for effort estimation. While in practice, cross-company effort estimation may not be easy to take because the cross-company data for effort estimation...
Due to famous mistake revising probability turbo coding is significantly used as a piece of advanced correspondence systems. In this paper different arrangement of turbo decoder with decreased element constrain dissemination is shown. In this changed decoder, standard cell based design using pipeline logarithm-most extreme a back (Log-MAP) calculation with clock gating and variable number of cycle...
Bayesian networks (BNs) is widely used for system reliability modeling because of its versatility. It is crucial to build BNs from reliability data without experts' intervene. However, the BNs structure learning is still an open problem. Traditional approaches always integrate a structure scoring metric with a particular heuristically searching method. This usually overfits or underfits the data....
During the process of image acquisition, images are often subject to out-of-focus or defocus blur because of the improper adjustment of the camera's focal length, this image blur will degrade the image quality. However, in the literature, image quality assessment (IQA) methods dedicated to evaluating the quality of images with out-of-focus blur remain few. Therefore, in this paper, we focus our attention...
Despite recent advances in joint processing of images, sometimes it may not be as effective as single image processing for object discovery problems. In this paper while aiming for common object detection, we attempt to address this problem by proposing a novel QCCE: Quality Constrained Co-saliency Estimation method. The approach here is to iteratively update the saliency maps through co-saliency...
This paper considers measuring brain functional connectivity using mutual information (MI). First, we explain the advantage of MI based analysis over the conventional correlation based analysis. Second, we propose a novel approach for MI estimation by exploiting kernel-based probability density function (pdf) estimation and optimization under the maximum likelihood criteria. Finally, the proposed...
After several years of research towards sophisticated QoS measurement tools and methods, the results given to endusers by most commonly used on-line speed measurement tools are still far from being precise. In order to define a reliable Internet speed measurement methodology for endusers, the impact that the static and dynamic constraints of network nodes and TCP/IP implementations could impose must...
This article outlines a method for automatically generating models of dynamic decision-making that both have strong predictive power and are interpretable in human terms. This is useful for designing empirically grounded agent-based simulations and for gaining direct insight into observed dynamic processes. We use an efficient model representation and a genetic algorithm-based estimation process to...
In cloud system, the completion time of the slowest processing task is a significant metric when process the data-intensive application by the Map Reduce/Hadoop architectures. Thus an important problem that virtual machine placement for data node problem (VMPDN) is raised. In this paper, considering the successful application of ACO on combinatorial optimization problems, we firstly adopt Max-Min...
Recent advances in magnetic resonance imaging allow quantification of diffusion of water molecules, through diffusion weighted magnetic resonance images(DW-MRI)techniques called diffusion tensor imaging(DTI) and diffusion kurtosis imaging( DKI). These techniques are being extensively used to study finer details of the micro-structure in the human brain. Inspite of availability of several software...
This paper proposes a novel approach to extracting text lines from curved document images that are captured from an opened thick and bounded book or a curled document sheet. We first extract the connected components (CCs) in a binary image and then remove the non-textual CCs. Additionally, we estimate the orientation of each CC through local projections and a feature vector is accordingly defined...
The new standard for narrowband PLC-based communications IEEE P1901.2 defines two mechanisms which do not exist in the majority of its wireless counterparts — dynamic frequency mapping (tone mapping), and existence of several modulations. Until now, the benefit of these mechanisms was not taken explicitly into account by the routing protocols. In this paper, we propose a novel metric for RPL — the...
This work proposes an approach for energy consumption estimation of Android applications based on internal measurement. The proposed approach uses samples of voltage and current extracted from the battery of the Android device driver itself. This approach is able to measure the energy consumption of an Android application, or parts of its code. Experiments demonstrate the proposal and compare its...
Non-rigid structure-from-motion in an on-line setting holds many promises for useful applications, and off-line reconstruction techniques are already very advanced. Literature has only recently started focusing on on-line reconstruction, with only a handful of existing techniques available. Here we propose a novel method of history representation which utilizes the advances in off-line reconstruction...
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