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Mn1−xZnxFe2O4 nanoparticles (MZ NPs) owing to their Zn content dependent tunable magnetic properties have potential applications in energy conversion devices and in nanomedicine. It is a well-recognised fact that magnetism of MZ NPs has critical dependence on degree of Zn substitution at tetrahedral sites. In addition, the role of cation distribution between the tetrahedral and octahedral sites for...
E-Learning is a very widely used mode of education these days. Many universities have adopted E-Learning as their preferred system for resource sharing, assessments and grading. The problem is that apart from being usable, economical and accessible, E-Learning systems are often prone to fraud perpetrated by dishonest students. Using a strong authentication mechanism would help in limiting the exploitation...
Carbon plays an essential role in the environment for climate change. The presence and absence of carbon directly affects all living beings. Trees inhale carbon for giving us oxygen. The environmental study of carbon is a major concern these days. Carbon Dioxide is stored in different five carbon pools of forest. Many countries are innolved in the research of environmental factors these days. The...
This paper presents an approach of data mining technique to predict electricity demand of a geographical region based on the meteorological conditions. The value prediction predictive data mining technique is implemented with the Artificial Neural Networks. The values of the factors such as temperature, humidity and public holiday on which electricity consumption depends and the daily consumption...
In recent years, the rapid development of Internet of Technology (IOT) makes the intelligent home come true as people expect. The intelligent home system creates the more comfortable, safer, humane and intelligent living environment. It can resolve the problems facing by the people who have busy schedules and get a very less amount of time to spend at home which is increasing rapidly around the world...
Reliable, scalable and secured framework for predicting Heart diseases by mining big data is designed. Components of Apache Hadoop are used for processing of big data used for prediction. For increasing the performance, scalability, and reliability Hadoop clusters are deployed on Google Cloud Storage. Mapreduce based Classification via clustering method is proposed for efficient classification of...
This paper presents an efficient digital image fusion strategy that is created for Visual Sensor Networks(VSN's) to work in resource restricted, hazardous environments like battlefields. We aimed to use multiple partially unfocused colored images to develop a single multi-focus image using Discrete Cosine Transformation(DCT) depending on maximum value Alternating Current(AC) coefficients. This technique...
In this paper, we empirically explore the relationship between existing size and object oriented metrics with four quality measures i.e. Abstractness, bug density, method to refactor and dead code over the different versions of an open source software JStock. In order to fulfil our goal, we performed an experiment on by calculating size and OO metrics for different versions of an open source software,...
The large number of requirements and opportunities for automatic identification in manufacturing domains such as automotive and electronics has accelerated the demand for item-level tracking using Radio Frequency IDentification technology (RFID). End-users are interested in solutions that enable a range of objects to be identified without changing the structure of the objects. Designing an RFID tag,...
Mitochondrial DNA is extremely valuable in missing-person and crime scene investigations. It helps to identify unassociated ancient remains. Mtdna of mummies preserve information regarding the kinds of mutuations and the diseases tolerated by them. Mtdna testing in siblings will show if they are biologically related via the maternal line. This paper helps to develop a sofware for finding relatives,...
Today's manufacturing enterprises are characterised by frequently changing market demands, time-to-market pressure, continuously emerging new technologies and global competition. The traditional manufacturing control systems are often lacking in terms of the capabilities of responsiveness, flexibility, robustness and re-configurability. Therefore, there is a need of interoperability and integration...
Free space optical communication provides a unique method for the satellites orbiting around the earth to communication with each other. Inter-satellite optical wireless communication systems (IsOWC), one of the important applications of Free space optical communication technology, will be deployed in space in the near future as such systems provide a high bandwidth, small size, light weight, low...
An efficient algorithm is presented in this paper to enhance the lifetime of WSN and to become the network more energy efficient. In wireless sensor networks, due to the enhancement in the quantity of data, it becomes very complex to analyze those data, Categorize those data into singular collection. This may leads to the requirement for better data mining techniques. One of the mostly used clustering...
Integration of electrochemical analytical functionality into a micro-sized microbial fuel cell is demonstrated. Screen-printed carbon ink based working (anode) and counter (cathode) electrodes and Ag/AgCl ink based reference electrode were deployed for sensing. Using such three-electrode configuration, in-situ cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were successfully...
Iris Recognition has gained a great attention in various fields like industrial areas, security prone areas, border areas and medical institutes etc. Due to its high accuracy and uniqueness, it is used in various fields of access control and security at border areas. The demand for iris recognition is increasing day by day due to its reliability, accuracy and uniqueness. It is the most powerful identification...
Today's process industries typically utilise a very large set of multi-disciplinary, connected, heterogeneous systems composed of a large number of components, from individual sensors to whole control, monitoring and supervisory control systems. The use of such process control systems spans a wide range of application domains from traditional process industries to power distribution and residential...
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