Abstract: The system configuration including green power generator, energy storage element, dc appliance and equipment, and energy management system (EMS) with fuzzy logic will be introduced. The proposed integrated circuit allows the machine to operate in motor mode or acts as boost inductors of the boost converter, and thereby boosting the output torque coupled to the same transmission system or dc-link voltage of the inverter connected to the output of the integrated circuit. In motor mode, the proposed integrated circuit acts as an inverter and it becomes a boost-type boost converter, while using the motor windings as the boost inductors to boost the converter output voltage. Enhancement of a renewable power management system with intelligence control techniques (Fuzzy) for a micro grid system. Modeling, analysis, and control of distributed power sources and energy storage devices with MATLAB/ Simulink are proposed, and the integrated monitoring EMS is implemented. To improve the life cycle of the battery, intelligence control techniques manage the desired state of charge. The controller is to optimize energy distribution and to set up battery state of charge SOC parameters. In the development of the green energy systems, a control method is required to optimize energy distribution of a micro grid system. The design concept of this study was to increase the useful life of lithium batteries and to include charge and over discharge protection mechanisms. The power generator includes PV panels, wind turbines, and fuel cells. The fuel cells provide base power for the emergency loads when the system is operated during a power failure. Maximum power point trackers are associated with PV panels and wind turbines to draw maximum power, which is fed into the dc grid. The loads are connected to the grid and supplied from the grid directly. If there is power shortage, the bidirectional inverter will take power from the ac grid and it is operated in rectification mode with power factor correction to regulate the dc grid voltage within a range of 380 ± 20 V.
Keywords: Energy management system (EMS), Fuzzy Logic, State of charge (SOC), Micro grid, MATLAB/SIMULINK
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Abstract: Rough set theory has emerged as a useful mathematical tool to extract conclusions or decisions from real life data involving vagueness, uncertainty and impreciseness and is therefore applied successfully in the field of pattern recognition, machine learning and data mining. This paper presents basic concepts and terms of rough set theory. The paper also presents hybridization approach of rough sets with various other established techniques along with developments from time to time.
Keywords: Pattern recognition, rough sets, hybridization of rough sets, neural networks, fuzzy sets.
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Abstract: The smartphone is now an essential personal electronic device. Multimedia is prevalent and the preferred content on the smartphone and enormous amount of videos are shared on the phone. Diverse videos are downloaded and watched everywhere easily with the smartphone. QoE (Quality of Experience) is examined by measuring picture quality, continuity, and overall satisfaction in this study to assess users’ experiences with multimedia in stationary and walking usage contexts. Encoding factors such as frame rate and resolution directly affect the quality of videos. Proper settings of encoding factors were not, however, studied in the actual context. Smartphone owners watch videos while sitting, walking, and standing in various environments. Diverse settings of encoding elements for digital videos were compared in static and dynamic situations and efficient levels of these settings are suggested. Index
Keywords: Encoding, multimedia, QoE, smartphone, usage context.
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