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Road accident is a widespread problem all over the world. The number of the vehicle is increasing rapidly. Therefore, the probability of an accident is also increasing. So in this paper, we propose an IoT-based system for providing safe driving. It will collect data using smartphone and show the driver about the condition of the road. We have developed an Android based application which will collect...
Wireless Sensor Networks are used in collection of fields which comprises of disaster management, ecological observing, healthcare, battle arena, biotic, home, and other viable applications. With enormous evolution in the dome of entrenched sensor technology, there are tranquil of number of sensor nodes that are capable of intuiting, stimulating, and transmitting the unperturbed data, has been made...
In this paper, a feature selection method is presented for the multiclass data sets. This method is the hybridization of k-means clustering using cosine similarity as a distance measure and information Gain. In the method unsupervised Cosine Similarity is used for grouping of features i.e. K-means clustering is used to make a cluster of features and then information gain is employed to select a most...
In this research, a technique for ‘Credit Card Fraud Detection’ is developed. As fraudsters are increasing day by day. And fallacious transactions are done by the credit card and there are various types of fraud. So to solve this problem combination of technique is used like Genetic Algorithm, Behavior Based Technique and Hidden Markov Model. By this transaction is tested individually and whatever...
In this research work, it is tried to develop a technique for ‘Credit Card Fraud Detection’. Credit Card can be accepted for each online and offline in today's world. There are combinations of methods used. Firstly, Shopping Behavior is based on which type of products customer buys. Secondly, Spending Behavior in this the fraud is detected based on the maximum amount spent. Thirdly, Hidden Markov...
In this research, “A Novel Approach for Credit Card Fraud Detection” is designed. Credit Card frauds are increasing as there are millions of users worldwide. To stop these fallacious transactions a technique is designed which uses the combination of Hidden Markov Model, Behavior Based Technique, and Genetic Algorithm. Each and every transaction is tested with above mentioned technique and Fraud Detection...
Wireless mesh networks (WMNs) have emerged as a key technology for next-generation wireless networking, because of their advantages over other wireless networks. Due to the ever growing structure of WMN the traffic volume is expected to be very high, thus load balancing becomes a crucial part of it. Network load balancing enhances the scalability and availability of network. Load balancing can be...
A significant amount of energy is consumed to render high-level computation tasks in large scale cloud computing applications. The state-of-the-art energy saving techniques based on centralized job placement approaches reduce the reliability of operation due to a single point of failure. Moreover, the existing works do not consider energy consumption cost for communication devices and network appliances...
This paper aims that analysing neural network method in pattern recognition. A neural network is a processing device, whose design was inspired by the design and functioning of human brain and their components. The proposed solutions focus on applying Adaptive Resonance Theory model for pattern recognition. The primary function of which is to retrieve in a pattern stored in memory, when an incomplete...
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