Интеллектуальные компоненты энергетических систем на основе концепции Smart Grid

Показано актуальність розроблення енергетичних систем на основі концепції Smart Grid, виділено інтелектуальні компоненти для їх реалізації. Для реалізації інтелектуальних компонент вибрано нейромережеві засоби на основі моделі геометричних перетворень. Розроблено інтелектуальні компоненти попереднього опрацювання даних (динамічна фільтрація шумів та заповнення пропусків у вхідних даних), прогнозування споживання та візуалізації режимів роботи енергетичних систем.Actuality of energy systems development based on the concept of Smart Grid has been shown, intelligent components have been selected for implementation. Neural network on basis of geometric transformation model has been chosen for implementation of intelligent components. Such intellectual components has been developed: component for preprocessing of data (dynamic noise filtering and gaps filling in input data), component for consumption forecasting and component for visualization of work modes of power systems.Показано актуальность разработки энергетических систем на основе концепции Smart Grid, выделено интеллектуальные компоненты для их реализации. Для реализации интеллектуальных компонент выбрано нейросетевые средства на основе модели геометрических преобразований. Разработаны интеллектуальные компоненты предварительной обработки данных (динамическая фильтрация шумов и восполнения пробелов в исходных данных), прогнозирования потребления и визуализации режимов работы энергетических систем

USEM: A ubiquitous smart energy management system for residential homes

With the ever-increasing worldwide demand for energy, and the limited available energy resources, there is a growing need to reduce our energy consumption whenever possible. Therefore, over the past few decades a range of technologies have been proposed to assist consumers with reducing their energy use. Most of these have focused on decreasing energy consumption in the industry, transport, and services sectors. In more recent years, however, growing attention has been given to energy use in the residential sector, which accounts for nearly 30% of total energy consumption in the developed countries. Here we present one such system, which aims to assist residential users with monitoring their energy usage and provides mechanisms for setting up and controlling their home appliances to conserve energy. We also describe a user study we have conducted to evaluate the effectiveness of this system in supporting its users with a range of tools and visualizations developed for ubiquitous devices such as mobile phones and tablets. The findings of this study have shown the potential benefits of our system, and have identified areas of improvement that need to be addressed in the future

User-centered visual analysis using a hybrid reasoning architecture for intensive care units

One problem pertaining to Intensive Care Unit information systems is that, in some cases, a very dense display of data can result. To ensure the overview and readability of the increasing volumes of data, some special features are required (e.g., data prioritization, clustering, and selection mechanisms) with the application of analytical methods (e.g., temporal data abstraction, principal component analysis, and detection of events). This paper addresses the problem of improving the integration of the visual and analytical methods applied to medical monitoring systems. We present a knowledge- and machine learning-based approach to support the knowledge discovery process with appropriate analytical and visual methods. Its potential benefit to the development of user interfaces for intelligent monitors that can assist with the detection and explanation of new, potentially threatening medical events. The proposed hybrid reasoning architecture provides an interactive graphical user interface to adjust the parameters of the analytical methods based on the users' task at hand. The action sequences performed on the graphical user interface by the user are consolidated in a dynamic knowledge base with specific hybrid reasoning that integrates symbolic and connectionist approaches. These sequences of expert knowledge acquisition can be very efficient for making easier knowledge emergence during a similar experience and positively impact the monitoring of critical situations. The provided graphical user interface incorporating a user-centered visual analysis is exploited to facilitate the natural and effective representation of clinical information for patient care

ITS for Teaching TOEFL

Abstract: An e-learning system is increasingly gaining popularity in the academic community because of several benefits of learning anywhere anyplace and anytime. An Intelligent Tutoring System (ITS) is a computer system that aims to provide immediate and customized instruction or feedback to learners, usually without requiring intervention from a human teacher.(ITSB) is the tutoring system Builder Which designed and improved to help teachers in building intelligent tutoring system in many fields .In this paper we have an example and an evaluating are presented of building an intelligent tutoring system for teaching TOEFL using ITSB tool