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Data transmission is the critical issue when dealing with parallel processing systems. As the number of processors increases day by day inside the supercomputers, faults are very common to occur. Therefore, generating node-disjoint paths is the guarantee to sending data from source process to destination process successfully, since single faulty process can affect maximum one path. Beyond selecting...
Today the world is under virtually constant attack, targeted by increasingly sophisticated and well funded attackers. The increasing efficacy of cyber threats continues to highlight the inadequacies of traditional defense mechanism such as firewalls and Intrusion Detection System. The security analyst however focuses on finding the technical deficiency but do not consider the adversaries motivations...
The main principle behind EEG-based brain computer interfaces (BCI) is the recording and accurate classification of EEG signals during imagination of different types of motor movements. The changes in the neural activity effected by motor imagery are a lot similar to those induced by actual movement. Common features, e.g., band power values, present in the single EEG trials are extracted by suitable...
The presence of bad weather conditions like fog and haze reduces the contrast of the videos. To overcome this problem, a real-time video dehazing and defogging was proposed. We proposed a new approach for estimating the airlight directly from the frame rather than from dark channel prior. Then, we set the threshold to eliminate the non-airlight intensities. In this work, coarse transmission map can...
This study demonstrates application of analysis of geotechnical sensors based data for landslide monitoring and prediction at Tangni landslide site, 12 km from Pipalkoti along Rishikesh — Badrinath highway (NH-58) in India. Prediction of slope deformations is carried out using back propagation neural network (BPNN) model. Training of the model is done using 60% of the data received from the landslide...
The Travelling Salesman Problem (TSP) is a very popular combinatorial optimization problem of real world. The objective is to find out a shortest possible path travelled by a salesman while visited every city once and returned to the origin city. TSP is one of the NP hard problems and several attempts have been done to solve it by traditional methods. Computational methods give better solution for...
Strength of security and privacy of any cryptographic mechanisms that use random numbers require that the random numbers generated have two important properties namely 1. Uniform distribution and 2. Independence. With the growth of Internet many devices are connected to Internet that host sensors. One idea proposed is to use sensor data as seed for Random Number Generator (RNG) since sensors measure...
In this paper an integer order and fractional order proportional plus integral plus derivative (IOPID & FOPID) controller is designed to control an automatic voltage regulator (AVR) system. The parameters of the IOPID controller are tuned using Ziegler-Nichols (ZN) method and further optimized by grey wolf optimizer (GWO). The FOPID controller is also designed for the betterment of the synchronous...
Actuators and Manipulators either robotic or mechatronic require controllers which are very accurate and fast. The rotary inverted pendulum has been an under actuated system classified as a potential model in the category of advanced research problems. In this paper, a method is proposed for stabilization of a rotary inverted pendulum using full state feedback controller based modified particle swarm...
Frequency variation is a critical issue in power systems. With the recent developments in power sector, complexity and non-linearity of power system is increased to higher degree. Conventional controllers are designed considering linear power system models, therefore performance of these controllers may be not suffice the requirement of state of art. New strategies and controllers for controlling...
A method of feature selection using elitist Genetic Algorithm is proposed in this work. Stratified-tenfold-cross-validation classification accuracy is used as fitness function. The method developed can detect redundant and irrelevant features, consequently producing the optimal feature set. The algorithm is carried out on the four benchmark datasets. Results of the experiments carried out shows that...
With the growth of technology, new products are introduced in the market everyday. This rise in products has initiated competition among different manufacturers. Industries use different strategies to make their products more appealing to the customers and survive in the market. As a result, when launching any new product, it is necessary to analyze the reason behind the success of top competing products...
This paper proposes a new approach for motion planning of a redundant mobile manipulator. The motion planning of mobile manipulator addresses the problem of trajectory following by the end-effector of manipulator in coordination with the mobile platform. In the proposed approach, a controller has been designed based on Takagi-Sugeno fuzzy system and trained to find the appropriate position of the...
In this paper, a distribution network has been transformed into a micro grid that contains varying loads, renewable generating sources such as PV & Wind and the controllable generating sources such as diesel generator and battery source. The extended distribution network under consideration is assumed to operate in autonomous mode of a micro grid due to surplus renewable energy sources connected...
Clustering involves formation of groups having similar data objects. The popular clustering techniques k-means and K-harmonic means (KHM) suffered with the problem of local optimum. This paper introduces a new hybrid clustering approach using PSO, Fuzzy logic and KHM. The proposed approach works has two advantages. First it solves the local optimum problem and second is provide better convergence...
An active magnetic bearing (AMB) is a mechatronical product which suspends a rotating element called rotor in position without any mechanical contact. This characteristic makes AMB attractive in high speed, high precision and high vacuum applications. Estimation of losses and system parameters of AMB using artificial intelligent techniques is rarely attempted in literature. In the present work using...
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