The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This demonstration presents a user-friendly web-based platform that supports intuitive remote benchmarking of different indoor localization solutions. It reduces the barriers for experimental evaluation and fair comparison of their performance across a set of testing environments. The platform is aimed at addressing the limitations in the current praxis of publishing indoor localization research evaluated...
Performance monitoring of datacenters provides vital information for dynamic resource provisioning, anomaly detection, capacity planning, and metering decisions. Online monitoring, however, incurs a variety of costs: the very act of monitoring a system interferes with its performance, consuming network bandwidth and disk space. With the goal of reducing these costs, we develop and validate a strategy...
This paper presents SLAM, a customizable platform-independent SLA monitoring framework for federated cloud services. It supports monitoring of distributed nodes and hosts using an agent-based model. The framework generates monitoring templates according to the SLA terms that describe monitoring requirements and creates monitoring reports based on these generated templates. In addition, we propose...
Over the last few years there has been a massive proliferation of cloud providers, all using a set of different metrics to describe the service solutions that they offer. This results in a lack of comparability within and between services that precludes end users being able to select the most appropriate service for their needs, based upon their requirements. Here we outline an automated real-time...
Detection of unwanted, unsolicited mails called spam from email is an interesting area of research. Researchers with the help of machine learning algorithms normally find the best classifier that distinguishes a spam from a benign mail called ham. It is necessary to evaluate the performance of any new spam classifier using standard data sets. The public corpora of email data sets that are available...
The German SpaceBot Cup is a robotics competition that has its first edition in 2013. A second edition is expected by the end of 2015. The SpaceBot application scenario involves typical exploration tasks carried out on a planetary surface after landing on a planet. Competitors' robots are challenged to locate and identify objects, and then convey them to a base station. This activity is meant to be...
With each technology improvement, parallel systems get larger, and the impact of interconnection networks becomes more prominent. Random topologies and their variants received more and more attention lately due to their low diameter, low average shortest path length and high scalability. However, existing supercomputers still prefer torus and fat-tree topologies, because a number of existing parallel...
With each technology improvement, parallel systems get larger, and the impact of interconnection networks becomes more prominent. Random topologies and their variants received more and more attention lately due to their low diameter, low average shortest path length and high scalability. However, existing supercomputers still prefer torus and fat-tree topologies, because a number of existing parallel...
Document clustering addresses the problem of identifying groups of similar documents without human supervision. Unlike most existing solutions that perform document clustering based on keywords matching, we propose an algorithm that considers the meaning of the terms in the documents. For example, a document that contains the words "dog" and "cat" multiple times may be placed in...
Layout pattern classification has been utilized in recent years in integrated circuit design towards various goals such as design space analysis, design rule generation, and systematic yield optimization. There is a need for open source or academic solutions as very limited vendors are available to provide this functionality. Speed and accuracy are key aspects to target in the solutions. Given a circuit...
Recently, some physical dynamics, including heat conduction and mass diffusion, have found their applications in personalized recommendation. These kinds of nature-inspired approaches have been demonstrated to be both highly efficient and of low computational complexity. However, most of them rely only on the connections between users and objects, but does not take into consideration the sequence...
According to the statistics, there is low resource utilization and high energy consumption in traditional servers. To reduce the cost, more and more companies begin to build virtual servers. Sever virtualization implements the mapping from virtual resources to physical resources and deal with resource contention among all VMs. Because of complexity of virtualized server systems, it is necessary to...
Over the spring and summer 2015 semesters, two undergraduate students completed a full energy audit of two local municipalities in order to provide recommendations for usage reduction. This audit was done as part of a community partnership initiative with Emerald Cities Collaborative, a community development collective focused on promoting sustainable communities through environmental energy education...
Anti-nuclear antibody (ANA) indirect immunofluoresence (IIF) human epithelial type-2 (HEp-2) testing provides important clinical information for the diagnosis of systemic autoimmune rheumatic diseases (SARD). Recent developments in computer aided diagnosis (CAD) systems aim to improve the reliability and reproducibility of ANA IIF laboratory testing by providing ANA classification. The limited prior...
Intelligent data analysis has become more important in the last decade especially because of the significant increase in the size and availability of data. In this paper, we focus on the common execution models and characteristics of iterative graph analytics applications. We show that the features that improve work efficiency can lead to significant overheads on existing systems. We identify the...
In the Software Defined Network (SDN) ecosystem, the controller remains the cornerstone of the architecture and the critical point of its success. That is why performance concerns have existed throughout the history of SDN and controller development. This paper aims at making a reality check on the current performance achieved by mainstream open source controllers. The measurements are carried out...
Dynamic community detection algorithms tryto solve problems that identify communities of dynamicnetwork which consists of a series of network snapshots. Toaddress this issue, here we propose a new dynamiccommunity detection algorithm based on incrementalidentification according to a vertex-based metric calledpermanence. We incrementally analyze the communityownership of partial vertices, so as to...
Graph partitioning, or graph cut, has been studied by several authors as a tool for image segmentation. It refers to partitioning a graph into several subgraphs such that each of them represents a meaningful object of interest in the image. In this work we propose a hierarchical agglomerative clustering algorithm driven by the cut and mean cut criteria. Some preliminary experiments were performed...
In this paper, we propose and evaluate various distance-aware weighting strategies to increase the accuracy of pose estimation by improving the accuracy of a voxel-based model, generated from the data obtained by low-cost depth sensors. We investigate two strategies: (a) weight definition to prioritize prominence of the sensed data according to the data accuracy, and (b) model updating to determine...
Big data revolution has created an unprecedented demand for intelligent data management solutions on a large scale. While data management has traditionally been used as a synonym for relational data processing, in recent years a new group popularly known as NoSQL databases have emerged as a competitive alternative. There is a pressing need to gain greater understanding of the characteristics of modern...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.