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Nowadays a big data analytics is a very broad area for both academia and industry. Big data analytics has attracted intense interest from all academia and industry recently for its attempt to extract knowledge, information and wisdom form big data. Big data and cloud computing, two of the most important trends that are defining the new emerging analytical tools. Big data analytical capabilities using...
In this paper, an integration of single-stage solar photovoltaic (SPV) generation to three-phase AC grid is proposed using admittance based LMS (Least Mean Square) adaptive control approach. The main focus of the system is to supply active power to the grid as well as loads at PCC and also mitigate several power quality issues like current harmonics distortion, reactive power and load unbalancing...
Intelligent fault diagnosis of machines for early recognition of faults saves industry from heavy losses occurring due to machine breakdowns. This paper proposes a process with a generic data mining model that can be used for developing acoustic signal-based fault diagnosis systems for reciprocating air compressors. The process includes details of data acquisition, sensitive position analysis for...
Cognitive radio (CR) has emerged as a promising solution to the spectrum scarcity problem, faced by all existing as well as newly proposed wireless services. In cognitive radio network (CRN) spectrum sensing plays the most important role and is considered as an integral part of CR. Among all the spectrum sensing schemes proposed in literature energy detection (ED) is commonly adopted due to its low...
P300 speller-based brain-computer interface is a direct communication from human-brain to computer machine without any muscular movements. In conventional P300 speller, a display paradigm is used to present alphanumeric characters to users and a classification system is used to detect the target character from the acquired electroencephalographic signals. In this paper, we present an $8\times 8$ ...
This paper proposes a new sensorless method for the vector control of grid-connected doubly-fed induction machine (DFIM) drive. The proposed sensorless method is based on the model reference adaptive controller (MRAC) which utilize instantaneous and steady state values respectively of a fictitious quantity obtained as the difference between two fictitious ratios of rotor voltage to current along the...
A large number of vehicle accidents and its associated human fatalities occur throughout the world due to drowsiness or health-related issues of the driver. Such mis-happenings can be reduced by integrating a driver-health monitor into the automotive. Different techniques such as camera-based image processing, photoplethysmograph, electroencephalograph, etc. have been employed to develop driver-state...
Wireless Sensor Networks (WSNs) are mainly deployed in harsh environmental conditions where sensors are susceptible to failure. Most serious consequences occur when network gets partitioned into disjoint sub-networks which severely degrades network performance. Maintaining Quality of Service (QoS) and connectivity at the time of node failures is termed as network resiliency. To increase network resiliency...
Routing process includes hop by hop route discovery followed by transmission of packets on that route. Efficiency of any route discovery process depends on the length of the discovered route and the total number of messages exchanged over that route. Specifically in Wireless Sensor Networks (WSN) these factors have direct impact on the energy of sensor nodes and thus on the overall network lifetime...
Future of microwave, power and photonics industry is focused on GaN due to its extraordinary material properties such as wide and direct band gap, large thermal and chemical stability, high breakdown voltage, high saturation velocity. Formation of devices for these applications requires a material selective etching which is performed via wet-etching process. In this paper, temperature dependent etching...
Resource provisioning in cloud is highly crucial to confirm the delivery of delay sensitive service through cloud like business transaction etc. Reservation into virtual machine takes place based on cloud resource availability. VM resource would be waste because a large number of virtual machine resources are often provisioned to confirm service response time. There were various techniques to measure...
In designing of microstrip antenna the suitable substrate is an important. The substrate properties such as its dielectric constant, loss tangent have a good effect on the antenna characteristics. In this paper a detailed study of the effect of various substrate material on the antenna properties. The fork type antenna is analyzed for different substrates using the software HFSS.
The proposed design is the work presented in this report explores wireless smart metering system that fully realizes the potential of smart grid. Real time monitoring of the electricity parameters like voltage, current, real and reactive power of the significant devices in a home is important for the control and optimization of the energy usage of those devices. However by optimizing the time of usage...
This paper describes the theory and technique for reducing the size of an antenna through the use of fractals. This fork shape fractal antenna can be used in satellite communications, terrestrial communications, and space communications and radar system. The dimensions of the proposed antenna are 42×42×3.26 mm. FR4_epoxy material is used as the substrate. The proposed antenna has the return loss,...
P300 speller for Brain-Computer Interface systems aim to provide a direct communication between computer - machine and human brain, without any muscular activity. The communication is provided by detecting the presence of P300 Event Related Potentials (ERPs) in the electroencophelogram (EEG) signals, recorded from scalp. The major problem associated with P300 spellers is the stratification of EEGs...
A lot of research has been carried out in the past decade to assist patients suffering from paralysis or Motor Neuron Disease (MND) to communicate and also to move. Though solutions exist, they are extremely expensive and also sluggish in user response. This paper presents a cost effective setup and a novel algorithm to help the MND affected segment of the society to communicate using only blinks...
Gesture recognition is a topic in computer science and communication technology with the goal of interpreting human gesticulations via model outputs and mathematical algorithms. Gesture recognition is usually processed before transmitting the results to the user applications. Today, robotic field is being explored in various aspects for the possible applications in gesture recognition. In this paper,...
On the lines of the huge and varied efforts in the field of automation with respect to technology development and innovation of vehicles to make them run on electric power and moreover autonomously, this paper presents a research and innovation applied to a bicycle. A normal daily-use bicycle has been modified at low-cost such that it runs autonomously, while maintaining its original form i.e. the...
Advances in pervasive and ubiquitous computing have resulted in the development of sensors that can be easily deployed in the natural habitat of a human to acquire activity related data. However, inferring meaningful activity information from sensor data is still a challenging problem. This paper addresses the problem of inferring activities that are simultaneously performed by multiple residents...
In the present paper a novel automatic gain control preamplifier for hearing aid device is proposed and analyzed. The proposed design utilizes feedback and feed forward loop in order to control the gain of the device. Input and output thresholds have been accommodated to provide dual control. The weak input signal is amplified in three modes. High gain for low input and low gain for high input forms...
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