1,720,997 research outputs found

    Building a Learner Psychophysiological Model Based Adaptive e-Learning Systems: A General Framework and its Implementation

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    The capability of recognizing the „human factor” considerably improves the Human-Computer-Interaction process and the impact of learning as well. High efficiency of a learner psychophysiological model based e-Learning systems is achieved due to adaptation ability to learners’ real-time emotional behavior during training session. In the paper an approach for building adaptive Learning systems with a model of learner’s psychophysiological state is discussed. Biofeedback sensors are used to get real-time data about user’s psychophysiological state during training sessions. The research results on measuring and analyzing user’s psychophysiological responses from biofeedback sensors are described. Idea of “dual adaptation” is presented. Case study of the conducted by author research experiments is presented

    Models for Implementation of Software Configuration Management

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    The main scope of software configuration management is control of software evolution process to include at final version only valid and tested items. To achieve this, software configuration management have to prepare solutions for tasks such as identification of software configuration items, version control, build and deploy management etc. The paper provides new model-driven approach for implementation of software configuration management. New approach is supported by set of models to describe software configuration management process from different sides. New approach helps to organize existing solutions in parameterized way that increase ability of its reuse. Current paper introduces to problems in software configuration management area and main trends of new solutions. After introduction, new model-driven approach described. The second part of paper provides models for new approach. Presentation of models combined with simplified use case, which illustrates practical application of models. Finally, directions of further researches are provided

    Wireless Sensor Network Live Circle Simulation Tools to Balance Energy Consumption in the Network Nodes

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    Nowadays such sectors as agricultural, industrial, and private have used for years embedded information and processing technologies that are morally outdated and cannot be adapted to today's requirements. The integration of new wireless sensor network technologies can improve the management of existing infrastructure, enabling real-time control and analysis of information received from monitored devices. Despite the high costs of the system, this technology can be justified by the introduction of the solution from the initial stages. Nowadays, the most topical researches pertaining to wireless sensor networks are grounded on the new optimization of structure of network transmission protocol, the routing optimization in transmission network, optimization of network structure, as a result of which the life circle of wireless network sensors is possible to increase. There are a lot of ready-made solutions that allow to accomplish the simulation process for wireless sensor networks operating mode. As the essential disadvantage of the relevant wireless sensor netrork simulation tool can be considered non-integration of the methods for the optimization of wireless sensor networks lifetime. The integrated methods in simulation systems use inefficient network optimization methods for the design of optimal wireless sensor netrork systems. These include the choice of the capacity of individual battery, the deployment of the node density, the adjustment of power transmitter, the application of energy-efficient data transfer protocol, positioning of network nodes and other methods that are associated with the introduction of additional network costs. This article will discuss the simulation tool for the assessment of a wireless sensor network life circle that ensures the configuration of optimal network and projection/displaying of topology operations by using energy balancing methods

    Modification of Routing Protocols of the Wireless Sensor Network for Increasing the Network Life Expectancy

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    The main drawback of a wireless sensor network is the low power batteries which significantly limit the life expectancy of a network. There is irregular energy consumption in the nodes of the network; as a result the network becomes unable to perform at a certain moment when the electricity runs out in some network nodes, regardless of the biggest part of the network still working. There are several unconventional solutions where sometimes the wireless sensor network is used in an unordinary way, for instance, for transmission of multimedia data, the data processing of momentum sensors in tracing software’s for detecting moving objects as well as monitoring. The article describes the modification of network routing protocols for energy balancing in nodes, using the mobility of the coordinator node which provides dynamic network reconfiguration possibilities

    Model-Driven Software Configuration Management and Environment Model

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    The paper offers a new multi-driven approach for the implementation of software configuration management

    Model-Driven Conception for Planning and Implementation of Software Configuration Management

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    Software Configuration Management controls evolution of software development process to include only valid configuration items in the final product. To establish this control, a set of tasks should be implemented in software development project: version control, build and deploy management, source code management etc. Usually companies already have tools and solutions to implement mentioned tasks. The main challenge is an implementation of software configuration management tasks in new projects. This implementation should be done with minimum additional efforts and customization using existing solutions and tools where it is possible. The study offers novel model-driven approach for planning and implementation of software configuration management using models with different level of abstraction. Firstly, meta-model for general model-driven approach is provided. Using this meta-model, three different models are developed for planning and implementation of software configuration management. Finally, simplified use case provided to describe designed models from practical side and direction of further works are underlined

    Wireless Sensor Networks Lifetime Assessment Model Development

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    In the recent year’s low power computing systems have gained popularity. Networks, which use low power computer systems and transmitted data by using wireless connection are called wireless sensor networks, which main task is to get the information from sensors and transmission network. Nowadays, the most topical researches pertaining to wireless sensor networks are grounded on the new optimization of structure of network transmission protocol, the routing optimization in transmission network, optimization of network structure, as a result of which the life circle of wireless network sensors is possible to increase. In the present article the methodology for determining the life circle of network is discussed. The approaches in detection of life circle pertaining to the important network nodes are described
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