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Image sharpness is one of the most determining factors for image readability and scene understanding. How to accurately quantify it is a hot topic. This paper systematically validates a previously proposed index for full-reference image sharpness assessment (edge preservation ratio, EPR). Based on Gaussian blurring images in LIVE, CSIQ, TID2008 and TID2013 databases, we firstly evaluated EPR accuracy...
Even though the cloud computing paradigm has proven benefits, it faces a serious problem that can compromise its commercial success. It concerns the lack of efficient approach for using optimally the available resources. For this, several approaches have been proposed. However, they suffer from several shortcomings. Often only one objective is taken into account, expressing all operations in terms...
Performance anomaly is one of the key issues to threaten the Quality of Service of the applications in cloud. However, the complexities and consolidation of application, the fluctuation of workload or other factors make the anomaly detection a burdensome task. Traditional solutions exploit the metrics at system level to detect the anomaly. However, system level metrics are too coarse to remedy the...
Current deep learning methods have achieved human-level performance on Labeled Faces in the Wild (LFW) database, but we think it is because that the limited number of pairs on LFW do not capture the real difficulty of large-scale unconstrained face verification problem. Besides the intra-class variations like pose, illumination, occlusion and expression, highly visually similarity of different persons'...
Broadcasting companies have started offering video-on-demand services to provide their viewers with various kinds of TV programs. Most of these services have a program retrieval system that helps users find the TV programs they would like to watch. The conventional systems retrieve TV programs by keyword matching of the query and the TV program summary. However, it is difficult for these systems to...
Biometric recognition requires that the biometric characteristics used for the verification should be unique among individuals. The purpose of this study is to verify the individuality of finger vein, a new trait with superiority on accuracy and security. To carry out the research, we construct a large-scale finger vein database consisting of 710,399 images from 363,703 fingers. We adopt a score level...
We are currently witnessing an explosion of advances in database technology, that cover all phases of database application design: non-functional requirements, conceptual modeling, logical modeling, deployment, physical design and exploitation. Researchers and engineers cooperate to integrate these advances in the database design. Their proposed solutions have to be confronted with similar studies...
The record linkage problem in application to a bibliographic and authority data is considered. The problem is common in the situation of merging data from several libraries. The two approaches based on empirical analysis of data are tested. Both of them involve an indirect information about a person. The proposed variant of the decision tree method allows us to deal with inconsistent bibliographic...
In this paper, we present an applied research on designing and developing a recommender system for graduate admission seekers which can help them to choose graduate school matching their entire academic profile. Here we have developed a technique to transform relational database for students' all types of relevant information into a universal database format using academic data of successful students...
Objective measures of speech quality are attractive because they facilitate performance assessment of hearing aids (HAs) without the need for human listeners. Objective speech quality predictions are usually performed intrusively, wherein the “closeness” between the reference and HA output speech recordings is quantified. In this paper, we focus on nonintrusive estimation of HA speech quality based...
Missing values are a common occurrence in a number of real world databases, and various statistical methods have been developed to address this problem, which is referred to as missing data imputation. In the detection and prediction of incipient faults in power transformers using Dissolved Gas Analysis (DGA), the problem of missing values is influential and has resulted in inconclusive decision-making...
This paper assesses the accuracy with which a user's position can be computed using skyline information, that is, the shape of the sky observed looking upward from the user's location. Whereas this concept has been proposed in the past using wide field-of-view (i.e., fisheye) cameras, this study uses a narrower field-of-view camera that is more commonly available on mobile devices. For testing purposes,...
At present, direct comparing the template similarity has the characteristics of low authentication rate and fast running time, but full cyclic rotation metric can get high authentication rate with more running time. Considering the efficiency in running time and authentication rate, a gait authentication method based on acceleration and gyro signal named partial cyclic rotation metric (PCRM) is proposed...
We introduce Synapse motivated by the needs to emulate workload execution characteristics on high-performance and distributed heterogeneous resources. Synapse has a platform independent application profiler, and the ability to emulate profiled workloads on a variety of resources. Synapse is used as a proxy application (or "representative application") for real workloads, with the added advantage...
In the last years the volume of data that was generated by the mankind has increased and the complexity of data generated has also increased. Since the computers have evolved and provide more processing power, it is possible to carry out the real-time analysis of big volumes of data. This paper suggests the architecture of a big data processing platform called BigTim, which is able to run clustering...
This paper introduces, and verifies the applicability of, a practical algorithm for creating 3D points clouds resembling objects, based on multiple RGB-D frames having been taken from different viewpoints, by the Kinect 2 camera. The experimental set-up is described, along with a certain variant of the process referred to as iterative closest point, being utilized for the latter purpose. Moreover,...
In this paper, the main objective is synthesising tango choreographies from tango dances. This system takes tango dance patterns performed by human dancers as input and produces choreographies that are represented in a 3 dimensional (3D) virtual environment. Dance figures obtained by a motion capture system are segmented automatically and analyzed with regard to center of mass to form the dance database...
We have developed reduced reference parametric models for estimating perceived quality in audiovisual multimedia services. We have created 144 unique configurations for audiovisual content including various application and network parameters such as bitrates and distortions in terms of bandwidth, packet loss rate and jitter. To generate the data needed for model training and validation we have tasked...
Multimodal biometric verification systems use information from several biometric modalities to verify an identity of a person. The false acceptance rate (FAR) and false rejection rate (FRR) are metrics generally used to measure the performance of such systems. In this paper we propose a novel approach to determine the upper and lower acceptance thresholds in sequential multimodal biometric matching,...
Through the collection and association of discrete time-series resource metrics and workloads, we can both provide benchmark and intra-job resource collations, along with system-wide job profiling. Traditional RDBMSes are not designed to store and process long-term discrete time-series metrics and the commonly used resolution-reducing round robin databases (RRDB), make poor long-term sources of data...
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