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Demand side management (DSM) will play a crucial role in the development of future smart grids to optimize the energy balance of the system. Various techniques of DSM such as load control strategies aim at modifying the load profile effectively to reduce energy expenses as well as the peak energy demands on the grid. In this work, we utilize the controlled load operation techniques with incorporation...
The energy demands increment, perishing resources of fossil fuels and growing pollution levels encourage more electricity generation using renewable energy sources such as wind, solar, geothermal, tidal etc. Generation of electricity using high speed wind seems a viable and environment friendly solution to meet energy crisis. However, due to variable nature of wind speed, it is difficult to supply...
In embedded system-on-a-chip (SoC) applications, the demand for integration of heterogenous processors on a single chip is increasing. It adds complexity in maintaining coherency in data caches of the heterogeneous processors implementing different coherence protocols. Therefore, the task of coherence verification also becomes non-trivial for such a system. This work proposes an effective solution...
Due to lack of power source, energy is the key concern area in Wireless Sensor Networks. Maximum energy is used in transmission of data. Many research works have been done to develop routing algorithms to increase the lifetime of a sensor network. Among them clustering based approach is well known for achieving energy efficiency. This paper proposes a new routing strategy based on hierarchical routing...
In a component based engineering approach, a system can be envisioned as an assembly of reusable and independently developed components. In order to produce automated tools to support the selection and assembly of components, precise selection and retrieval strategies based on product specifications are needed. Conventional approaches use keyword based models for automatically retrieving specification...
The EEG (Electroencephalogram) signals are brain mapped signals that contain information about the brain's complexity and uncertainty. The EEG signals though are useful but due to a large variety of data in them, may look random in nature. We have to extract the proper information from the data by computational modelling of scalp EEG signals. The chaos theory helps in analysing the neurobiological...
This project's main aim is to detect unbalancing in three phase circuit. We further provide a software simulation in MATLAB to provide solution to this problem. This MATLAB simulation works with self-adapting intelligent agent system that would plot real time unbalancing and balancing of the system. In a balance system all phases, of a three phase power system are distributed at 120° in space with...
Color or spectral distortion is a serious issue in the field of Image Fusion. The problem is more prevalent in high-resolution satellite imagery due to spectral mismatching of panchromatic and MS bands. Current pixel-based techniques are not well-equipped to handle the problem. Moreover, these techniques do not consider the spatial, spectral or radiometric characteristics of various objects in the...
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