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Load balancing is important and major issue for cloud networks due to its elastic nature, user's unpredictable behavior and difficulty faced to foresee the request issued to the server. In order to efficiently utilize cloud resources, we are presenting a new methodology for dynamic resource allocation based on the suboptimal mechanism of aggregation i.e. GIT (greedy incremental tree). The technique...
Big data applications are developed and being explored by the computer science organization, which is classified and accepted by huge data sets collected from sensor networks, online networks, medical agencies, etc. To deal with the difficulty in analysis of data, we conduct research on the novel algorithms for data mining and knowledge discovery through network property. At first, we introduce necessary...
Cancer is the one of the hazardous disease in the world. Cancer spreads in lungs, liver, breast, bones etc. Liver cancer is the most dangerous and it will continue lifelong. The symptoms of liver cancer are Jaundice, loss of weight, yellow colored urine, vomiting, pain in the upper right abdomen, sweats, fever and enlarged liver. The liver cancer which begins in the liver apart from moving from other...
Skin cancer is the most frequent and malignant type of cancer. Melanoma is the most aggressive type among skin cancers and if they are detected at an early stage, they can be completely cured. In melanoma diagnosis, the detection of the melanocytes in the epidermis area is an important step. For the detection of melanocytes, use of histopathological images can be used. With the recent advent of whole...
Numerous algorithms have been invented for optimizations which are nature inspired and based on real life behaviour of species. In this paper, intelligent chasing and hunting methods adopted by the dogs to chase and hunt their prey in groups are used to develop the novel methodology named as “Dog Group Wild Chase and Hunt Drive (DGWCHD) Algorithm”. The proposed algorithm has been implemented on some...
The Frequency Assignment Problem is assignment of frequencies or channels to establish link between base station and mobile transmitter in cellular system. To avoid interference, minimum separation between assigned frequencies is required. This problem is NP-hard. Due to limited availability of spectrum and reuse of same frequencies at different geographical locations, an excellent assignment is to...
This paper investigates the various training algorithm with Multi-Layer Perceptron Feed Forward Neural Network (MLPFFNN) and identify the best training algorithm for Indian Stock Exchange Market especially for BSE100 and NIFTY MIDCAP50. The forecasting accuracy is analyzed and measured with reference to an Indian stock market index such as Bombay Stock Exchange (BSE) and NIFTY MIDCAP50 in this study...
Localization in WSN used to determine the position of node with the help of known positions of anchor nodes. In many of the applications, where coarse accuracy is sufficient, range free localization mechanism are being pursued alternative to range based localization mechanism. Because the range free localization scheme is low cost and consumes low energy. In this paper, we present range free weighted...
The Independent Component Analysis with Reference (ICA — R) also called as constrained ICA (cICA) extracts only the desired source signals from the mixture of source signals by incorporating some prior information into the separation process. To overcome the problem of designing the reference signal when there is no prior information about the desired signal in the cICA, an improved method is proposed...
In a structured peer-to-peer (p2p) network, key based routing algorithms are used for searching and locating resources in the network. For dynamic and scalable behavior these algorithms suffer from high overhead to maintain large state information of nodes and to keep them up-to-date. To deal with this problem, a Sub-ring Based Chord model and a lookup algorithm are proposed. The lookup process keeps...
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