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Fork-join queues characterize a network of parallel servers where an arriving job splits into subtasks, and are serviced in parallel. Exact analytic results are known for the mean response time of a two server system. For more than two parallel servers, approximations for the mean response time of both homogeneous and heterogeneous servers have been found. One such approximation is a split-merge queue,...
Rainbow is the system for running hardware accelerated virtual machines with an interactive access capability as grid jobs submitted to the Advanced Resource Connector (ARC) [1] powered infrastructure. Methods for running virtual machine as a grid jobs as well as Rainbow architecture has been proposed and implemented for practical use in the Ukrainian National Grid (UNG). Rainbow framework had been...
Distributed database and analysis tools for electroencephalography (EEG) data archiving and procession in Ukrainian Grid Infrastructure were proposed, implemented and applied for separation of signal sources. The database is being populated with human scalp EEG and rat intracranial EEG data now. Resources consuming algorithms for removal of electromyogram and electro-oculogram artifacts from human...
Small web services usually are based on a single server which handles requests from all the clients and does not consider scalability. With growth of the network traffic and complexity of the requests to handle large amount of requests solution of upgrading server hardware is usually applied. But even the most powerful single server could not process all the requests if traffic is too high. In this...
This article is the result of the inter-project coaching process for international projects with a multinational team. The challenging task for the Project manager to deal with different types of risks and to predict the consequences of this risks for the projects. The experience of two tempus projects managing is described by the authors.
Implementation of WSN based on the proposed concept will simplify the process of recovery and scaling of network and improve network survivability due to the backup of important segments of distributed processor.
In the paper we present original solution for remote monitoring of water facilities using wireless sensor networks. We present both the mathematical model of the sensor network and the results of computer simulation.
In the last years, the Italian healthcare system is facing significant challenges, that underline the serious need for radical changes. Indeed, there is broad evidence that, even though a huge amount of money is invested in healthcare services every year, the patients often do not get the care they need. Thus, reforming the healthcare delivery system in Italy is mandatory, to ensure high care quality...
A novel approach to analyse Quality of Service (QoS) and Data Transfer in a flexible and robust field area network (FAN) is presented. Based on the special fieldbus system architecture an analysing tool using the cables near field information was implemented. Contactless access to the network traffic is an approach to minimize retroactive effects of the analysing tool onto the network. Therefore,...
The task of this interdisciplinary Polish-Norwegian project is development of radar technology for care services. The project has mainly an exploratory design where the capabilities of radar technology are tested out, related to elderly or disabled people living in their own home. A system for preventing and detecting falls, or detecting other potential injurious situations e.g. as nocturnal seizures,...
This paper presents an embedded system for fall detection using accelerometric data and depth maps. A real-time processing of motion data and depth maps is realized on a low-cost PandaBoard platform. In order to achieve detection of human falls with low computational cost the system performs a depth-based inferring about the fall event when person's movement is above some preset threshold. The performance...
Nowadays, we witness a tremendous increase in systems that sense various facets of humans and their surrounding environments. In particular, the detection of human emotions can lead to emotionally-aware applications that use this information to help improving people's daily lives and offering new business opportunities. We address the issue of maintaining privacy for this type of applications. In...
The paper is devoted to the issues of automated categorization of textual information which can be applied in the systems intended to block inappropriate content. The approach used for feature selection and construction is proposed. The text mining methods used for research (Decision Tree classifiers) are analyzed. Besides that, the techniques of Web sites analysis that provide information in different...
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