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Salem, India

Barakkath Nisha U.,PSNA College of Engineering and Technology | Umamaheswari N.,PSNA College of Engineering and Technology | Venkatesh R.,PSNA College of Engineering and Technology | Yasir Abdullah R.,SSCET
Journal of Theoretical and Applied Information Technology

Inconsistent data caused by compromised nodes in Wireless Sensor Networks can be detached to improve data reliability, accuracy and to make effective and correct decisions. Multivariate Outliers normally describe the data behavior abnormality. Data aggregation is frequently used for the reduction of communication overhead and energy expenditure of sensor nodes during the process of data collection in Wireless Sensor Networks and also to improve the lifetime of the WSN. For the delivery of accuracy in base station, the outlier detection protocol must be incorporated with secure data aggregation. Aggregation will also try to increase the circle of knowledge and the level of accuracy. In this paper we use multivariate data analysis technique, data to handle outlier in correlated variables. To achieve the reliability and accuracy, a two phase algorithm is proposed. First, to build up a well conditioned PCA model for fault detection. Second, we use various statistical techniques to determine similarity between the sensed data against the real data set. We have evaluated our algorithm based on synthetic and real data injected with synthetic faults collected from a WSN. Our results concludes that the proposed algorithm achieves high true alarm rate and low false alarm rate and outperforms all the existing methods in terms of data accuracy and reliability. © 2005 - 2014 JATIT & LLS. All rights reserved. Source

Warathe S.,Government Polytechnic Durg | Patel R.N.,SSCET
Advances in Intelligent Systems and Computing

In this paper we have described the cause of Indian grid failure during the stressed condition and developed the algorithm for numerical relay to prevent the unforeseen blackout. Indian power grid is consists of five regional grids and one of the largest power supply utility in the world. There was a major grid disturbance occurred in the Northern Region of India causes major shut down in many state leading to a entire blackout in eight states. The regional wise power import, export and generation give the idea of stressed condition and skewed power generation among the grid. The voltage profile of regional buses also indicates the insufficient reactive power compensation. In this work the impact of increase of load and loss of generation on angular separation is observed and the performance of developed algorithm for numerical relay is tested for different stressed condition and gives the expect result. © Springer India 2016. Source

Tripathi N.,SSCET
Proceedings - 2015 5th International Conference on Communication Systems and Network Technologies, CSNT 2015

Face detection and emotion selection is the one of the current topic in the security field which provides solution to various challenges. Beside traditional challenges in captured facial images under uncontrolled settings such as varying poses, different lighting and expressions for face recognition and different sound frequencies for emotion recognition. For the any face and emotion detection system database is the most important part for the comparison of the face features and sound Mel frequency components. For database creation features of the face are calculated and these features are store in the database. This database is then use for the evaluation of the face and emotion by using different algorithms. In this paper we are going implement an efficient method to create face and emotion feature database and then this will be used for face and emotion recognition of the person. For detecting face from the input image we are using Viola-Jones face detection algorithm and to evaluate the face and emotion detection KNN classifier is used. © 2015 IEEE. Source

Kaur K.,GIMET | Singh J.,SSCET | Himani,GIMET
2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015

the research in Mobile Ad-hoc Network remains winsome due to the crave to obtain better performance and scalability. Mobile ad hoc network is an unstructured self-forming radio mesh of moving nodes. There is no median approach for interaction of mobile nodes. In MANET nodes are mobile in nature and it became challenging to handle them while preserving the energy. Misbehavior, Mobility, Congestion are some factors that always degrade the performance of network. In this paper we propose a WSEEC (Weightage based Secure Energy Efficient Clustering) algorithmic approach towards energy efficient clustering and security of nodes. The aim of this algorithm is to build secure and energy efficient cluster head. Where rely value of each node is calculated to know the behavior of the node. The performance of proposed WSEEC algorithm is compared with WCA under five metric such as a Network life time, Energy consumption, throughput, delay and packet delivery ratio. © 2015 IEEE. Source

Pandey P.K.,Bhilai Institute of Technology | Trivedi R.,SSCET | Pandey M.,Bhialia Institute of Technology
Indian Journal of Environmental Protection

The atmospheric concentration of the particulate trace elements and compounds sulphate, fluoride, arsenic, cadmium, copper, iron, manganese, nickel, lead, zinc, chromium, aluminum, sodium, and potassium were determined at one reference sampling station located at Bhilai, an urban industrial location. Sampling site was free from any near source effect. 24 hr samples were collected twice every month by a high volume sampler on a glass micro fiber filter paper. The particulates collected from November 2006 to October 2008 were extracted employing an automatic digestion system. The levels of many trace elements are higher than those obtained in various other parts of the world. © 2010 - Kalpana Corporation. Source

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