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Recent advances in the routing protocols of Wireless Sensor Networks (WSNs) using Machine Learning (ML) techniques immensely aid in addressing their energy depletion issue. Numerous ML solutions have been proposed to minimize the resource utilization in WSNs for prolonging the networks lifetime. In this paper, we present an efficient support vector based clustering protocol which efficiently assign...
Unmanned aerial vehicles (UAVs) experience different atmospheric uncertainties during the flight operation. These uncertainties caused the problem in the stability and the desired performance of the system. This research paper is structured to nullify the influence of atmospheric turbulence and ground effect on the unmanned aerial vehicle to control the roll angle. The model of Dryden turbulence is...
Huge volume of content is produced on multiple online sources every day. It is not possible for a user to go through these articles and read about topics of interest. Secondly professional articles, blog and forum have many topics discussed in a single discussion. Automatic knowledge-based topic models is a recent approach in Natural Language Processing that extract high quality topics from a large...
This paper proposes an approach for design and optimization of strategy in the domain of robot soccer. The strategic placements, evolved via evolutionary algorithms, allow the team to enhance their decision-making capability for real-time strategy execution. Experiments are conducted using binaries of teams participating in RoboCup Soccer Simulation 3D League competitions. In the context of robot...
A novel single hand Sign Language Recognition (SLR) method utilizing Weightless Neural Network (WNN) known as a RAMnet or n-tuple network is evaluated as a memory efficient technique. In contrast with standard multilayer perceptron neural network (MLPNN), the RAMnet does not require long iteration of presentation of training data in the training phase i.e. long training time, weights adjustments and...
The paper proposes a new method based on artificial neural network (ANN) for estimation of pressure loss coefficients in Tee Junction for dividing flows. The selected features are given as input to the ANN including flow and geometry parameters of Tee Junction for training and pressure loss coefficients are estimated in an efficient manner. The paper also gives comparison results of ANN based approach...
Home automation system achieved great popularity in the last decades and it increases the comfort and quality of life. In this paper an overview of current and emerging home automation systems is discussed. Nowadays most home automation systems consist of a smartphone and microcontroller. A smart phone application is used to control and monitor the home appliances using different type of communication...
At present, almost all the car garages and service dealerships have two post lifts in the repair bays. These systems are prone to various problems. There are cases in which automobiles have been irreparably damage like a bent chassis or fallen automotive from the lifts. Moreover, in some cases even human lives were subjected to harm while working in car bays. This paper presents a closed form solution...
Traditional method of seeding by farmers demands laborious work and is now becoming story of the past. Technological revolution in mechatronics and allied areas is reshaping the agricultural processes, making the robots an integral part of this automation. This paper presents design details of an autonomous robot developed keeping in view the constraints imposed by an agricultural field. The novelty...
Recent advancements in brain computer-interfacing (BCI) and neuro-robotics have played an indispensable role for people suffering from neural injuries to expect better quality of life by restoring sensory functions and replacement of neuro-muscular pathways as BCI systems work on imagination of movements to control prosthetic limbs. In this research, multiple combinations of features and classifiers...
One of the pivotal issues which must be tackled when an effective brain-computer interface (BCI) is to be designed, is to reduce the enormous space of features extracted from fNIRS signals. BCI researchers often use genetic algorithms (GA) as the technique to extract features. The classic genetic algorithm obtains a feature set with the high classification accuracy; however, it is unable to create...
In this paper, we have compared and analyzed the classification accuracies using two different classifiers for mental arithmetic and rest task using functional near-infrared spectroscopy (fNIRS) signals. Multi-channel continuous-wave imaging system was used to extract the signals from the prefrontal cortex of the brain of seven healthy subjects. The extracted signals were then converted into change...
Removal of Baseline Wander (BLW) is the primary step in ECG signal processing. Adaptive noise cancellation (ANC) has been a popular technique for removal of noise from ECG. Conventional ANC techniques require reference signal for extraction of clean ECG. This paper investigates removal of BLW from ECG signals using State Space Recursive Least Squares (SSRLS) adaptive filter. Tracking of BLW by SSRLS...
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