The transformation from conventional power grid to smart grid has brought interdisciplinary concepts together. The distribution management system is a part of the smart grid and is a complex entity which requires different applications for monitoring, control and manage the distribution network operator (DNO). In this paper the communication framework is proposed for microgrid control center (MGCC) to DMS using long term evolution protocol (LTE). The LTE physical layer is modeled in MATLAB/SIMULINK and the bit error rate (BER) to signal to noise ratio (SNR) curves are plotted.
This Gestures is one of the best ways of communication between dumb and blind people depend on the expression of signs. In this paper we suggest an algorithm to recognizing hand gestures of Arabic letters to communicate between the dumb (through signs) and blind (hear the voice corresponding to sings). The proposed algorithm used the video of gesture from the dumb then convert the video into frames ( images) and calculate the distance to recognition the letters by using k-mean, k- medoid and artificial neural network, calculate the distance by using Euclidean distance and slop. There are sixteen features (8-features from Euclidean distance and 8-features from slop ). The results were (93.3673% For k-mean),(93.1354% for k-medoid ) and(92.9499% for ANN). We create our data base (from 5- videos with 308 frames).
In industrial plants or any critical utility plants, the ultimate goal is to maximize the production quantity and quality but at the same time keeping the production cost as low as possible. To achieve this, it is mandatory to keep plants in fully efficient condition so that the throughput of the system is maximum. In order to keep the system fully efficient it needs to be maintained properly. There are different maintenance strategies being used to maintain the efficiency of the plant. For any specific type of industry, maintenance affects the cost of goods produced. To avoid breakdown, the maintenance strategies should be planned in such a way that the maintenance tasks are executed at right time. Unnecessary maintenance tasks increase the maintenance costs and also the time required to execute them. Through this paper, the prospect of optimizing the plant operation i.e. to reduce the down time of the system using predictive maintenance (PdM) approach which will lead to reduced production cost has been explored.
Wind power is one of the fastest emerging green energy sources all over the worldwide with the lowest cost of electricity production. It is clean and reduces greenhouse gas emissions during operation in a high amount and uses little land for installation of the system. Higher investments have made by many countries to develop wind energy as an substitute to fossil fuels and economical energy source. Wind energy systems are non-linear sources that need precise on-line recognition on the best possible operating point. Planning at optimizing the performance of wind energy harvesting systems to ensure optimal functioning of the unit, new intelligent technique such as the fuzzy logic (FL) have been applied to the dynamic control of wind power system. It effectively controls the pitch angle to adjust the speed of the generator according to the wind speed to produce better power and protect the system from damage.
Indigenous design of a multi-link flexible robotic system and its hardware manifestation is a challenging domain of today's research in robotics. In the present work, a novel test setup has been made for experimenting on a prototype Flexible Robotic System (FRS), focusing mainly in the drive and actuation mechanism. Due to the slenderness and inherent trembling of FRS, selection as well as design of the drive system of the robot is truly competitive. The FRS test-bed is finally intended for developing a full-fledged application-centric robotic system, namely, Patient Assistance Robot (PAR). Various metrics of the real-time operation of the proposed PAR have been attained in this work through the successful commissioning of the test set-up of the FRS.
