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There are many methods for indoor positioning. These methods are divided into the relative localization and absolute localization. In the relative localization, one widely used method is Pedestrian Dead Reckoning (PDR). Relative localization estimates the moving distance, orientation, and height of the pedestrian. However, relative localization has a problem caused by an accumulated error: the longer...
Scientific problems, related to the interaction between IT-services suppliers and consumers in the cloud environments, has been described. The analysis of quality metrics, used for IT-services estimation, has been carried out taking into account the specificity of the cloud infrastructure that focuses on large-scale scientific problems solving. The technique, used for the visual express quality estimation...
An objective blur measure is crucial for a variety of image processing applications. Traditional researches concentrate on a model estimating the amount of spatial high frequency. However, human vision detects blurriness might be influenced by the texture of image contents. To address the important issue, this paper presents a new objective metric designed as both measuring the inherent smooth texture...
Hierarchical clustering has been well-studied in the community of machine learning. Hierarchical clustering algorithms are deterministic, stable, and do not need a pre-determined number of clusters as input. However, they are not scalable for very large data due to their non-linear complexity. In this paper, a new approach is proposed to reduce the complexity of Hierarchical Clustering, improve the...
Open Source Software (OSS) is distributed and maintained collaboratively by developers all over the world. However, frequent personnel turnover and lack of organizational management makes it difficult to capture the actual development effort. Various OSS maintenance effort estimation approaches have been developed to provide a way to understand and estimate development effort. The goal of this study...
In biometric score level fusion, the scores are often assumed to be independent to simplify the fusion algorithm. In some cases, the “average” performance under this independence assumption is surprisingly successful, even competing with a fusion that incorporates dependence. We present two main contributions in score level fusion: (i) proposing a new method of measuring the performance of a fusion...
A method for estimating the junction temperature based on the static and quasi-static gate-emitter threshold voltage has been previously presented. However, several questions that remained open, such as the physical meaning of the estimated temperature and influence of external parameters in the temperature estimation, are now addressed in this paper. If devices are paralleled the proposed method...
Open Source Software (OSS) has become a major model for software development today. In OSS, software is developed by individuals that contribute their time and experience to the project of their preference using shared repositories. The success of each project (or repository) depends on factors such as increasing their workforce [7], and allowing its contributors to find an appropriate task.
The article examines a generalized net model simulating the interaction of the resources, objects, subjects and activities forming the measurement process. This makes it possible to detect various patterns and relationships between the sub-processes, objects, subjects and their states and to achieve intelligent control of the measurement process.
Although the minimum variance (MV) beamformer can provide enhancement in both resolution and contrast of ultrasound images when compared with conventional delay-and-sum (DAS) beamforming, its clinical application is limited by its sensitivity to phase aberrations. Several robust MV beamformers have been proposed, but present limitations when faced with second order phase aberration. Additionally,...
In this paper we present an empirical evaluation of various techniques for feature selection that are applicable for analysis of funding decisions - whether of not to award funding to a specific scientific project. Input data are a set of review forms (questionnaires), filled in by domain experts, with final decisions of the expert committee about project funding. The data was provided by the Russian...
Vision is the most important sense for humans and because of this human vision system we are able to see the 3D world around us with great clarity and are able to find out depth of each and every object. Many Active and Passive depth estimation techniques have been proposed which are capable of estimating depth of real world scene among which one of the passive method, stereo vision has been proven...
Performing risk assessment of computer networks is inevitable when doing network hardening. To have efficient attack prevention, risk evaluation must be done in an accurate and quantitative manner. Such risk assessment requires thorough understanding of attack's causes or vulnerabilities and their related characteristics. But the major problem is that, such information is not always provided because,...
MANET networks (Mobile Ad hoc Networks) are a sub class of mobile and wireless networks. In this type of network, all the nodes are mobile and no fixed infrastructures are considered existing. Among the challenges of the MANET, the stability and the durability of the selected paths in the network. In a previous work, we proposed a solution to this challenge by taking into account the mobility of nodes...
Automated riving is becoming the focus of various research institutions and companies. In this context, road estimation is one of the most important tasks. Many works propose to realize this task by employing one or multiple of the following orthogonal information sources: road markings from optical lane recognition, leading vehicle, digital map. etc. Each of them has its own strength and drawbacks...
This paper proposes a method that blindly predicts preference order between inpainted images, aiming at selecting the best one from a plurality of results. Image inpainting, which removes unwanted regions and restores them, has attracted recent attention. However, it is known that the inpainting result varies largely with the method used for inpainting and the parameters set. Thus, in a typical use...
The morphological similarity of anatomical structures is essential to the study of the species evolution. In this paper, we investigate the unsupervised shape similarity analysis by a random-forest-based metric. The dense continuous deformation fields are employed as the shape descriptors. The forest is built when given the unlabeled deformation fields, where the leaves can be seen as an optimal clustering...
Facial age estimation is an important and challenging problem in computer vision and pattern recognition. Linear canonical correlation analysis (CCA) has been widely applied owing to low complexity, small and fixed amount of model parameters and good scalability. However, linear CCA based regression gets lower accuracy than its kernel version on the age estimation problem. The inexactness of metric...
Light Fields capturing all light rays at every point in space and in all directions contain very rich information about the scene. This rich description of the scene enables advanced image creation capabilities, such as re-focusing or extended depth of field from a single capture. But, it yields a very high volume of data which needs compression. This paper studies the impact of Light Fields compression...
Light field imaging is recently made available to the mass market by Lytro and Raytrix commercial cameras. Thanks to a grid of microlenses put in front of the sensor, a plenoptic camera simultaneously captures several images of the scene under different viewing angles, providing an enormous advantage for post-capture applications, e.g., depth estimation and image refocusing. In this paper, we propose...
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