Informatics Publishing Limited

S. Ambika ¹, R. Ezhilarasie ¹, A. Umamakeswari ¹

Affiliations
1 School of Computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN

Abstract

Objectives: Cloud computing plays an imperative role in development of technology and makes the data available to the worldwide extent. Virtualization and virtual machines helps in enhancing the utility of the cloud computing to its maximum limit. Method: The method of replication of virtual machine in source physical machine to destination physical machine is known as migration of virtual machines. Live migration is a type of migration that deploys pre-copy, post copy, hybrid approach for transferring load. Finding: Load balancing is the foremost problems in data centres which can be handled by migration. This paper focuses on pre-copy approach and makes an investigation of the various pre-copy methods and its implementation. Applications: It helps in improving the utilization of data centres and load management with minimum downtime and no page faults.

Keywords

Cloud Computing, Live Migration, Load Balancing, Pre-copy Approach, Virtual Machines.

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P. Shivaranjani ¹, R. Ezhilarasie ¹, A. Umamakeswari ¹, M. Sujatha ¹

Affiliations
1 School of Computing, SASTRA University, Thirumalaisamudram, Thanjavur, Tamilnadu, IN

Abstract

Objecet: state the objectives of your study Methods: This review investigates the value of more than a few Data Mining systems similar to classification such as K-Nearest Neighbor (K-NN), Decision Tree (DT), Support Vector Machine (SVM), Neural Network (NN), Bayesian Methods in fitness area. Mention the data source accessed; keywords used; inclusion and exclusion criteria Findings: State the outcome of your study Applications: Some of the major applications of data mining in healthcare are evaluation of treatment effectiveness, management of healthcare, customer relationship management, and the detection of fraud and abuse.

Keywords

Bayesian, Classification, Data Mining, Healthcare.

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V. Gokul ¹, R. Ezhilarasie ², A. Umamakeswari ²

Affiliations
1 SASTRA University, Thanjavur - 613401, Tamil Nadu, IN
2 School of Computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN

Abstract

Objectives: The objective of making the irrigation system automated is not only to decrease the human intervention but also to irrigate optimal water to the crop without affecting its growth. The aim of this paper is to focus on existing technologies for making the irrigation process autonomous and effective use of wireless sensor networks. Method: Many existing methodologies use threshold based algorithm and fuzzy logic which lead to imprecise output. Findings: For the effective automated irrigation, the factors such as the algorithm for finding reference evapo-transpiration and the sensor node capabilities in terms of processing and communication unit and possible exceptions during the irrigation process all have to be considered to have a precise agriculture. Applications: Agriculture is an important area where sensors are deployed for providing abundant benefits like determining the water requirement of the crop, fertility of the soil, index of the leaf area, temperature of the leaf, data about local climate, water quality, water overflow, water continuity etc.

Keywords

Automated Irrigation, Fertility, Optimal Water, Wireless Sensor Networks.

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Shweta Raj ¹, R. Ezhilarasie ², A. Umamakeswari ²

Affiliations
1 Embedded System, School of computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN
2 CSE, School of computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN

Abstract

Objectives: In India, the frequency of traffic collisions is among the highest in the world. Most of the accidents are due to blind spots which cannot be directly observed by the driver at control. The paper proposes a collision avoidance system due to blind spots and in the case of heavy traffic scenarios. Methods: The proposed system avoids collision in blind spot and in heavy traffic and does not follow the path of preceding vehicle if the space between detector (Our Vehicle) and host vehicle is in proximity. For implementation of the system, Arduino boards and other drivers along with ultrasonic sensor are used and ZigBee is used for data communication between two nodes. Findings: The Blind Spot Detection (BSD) procedure based on wireless detecting technique ZigBee is proposed to monitor the blind spot region for the presence of interferences, automobiles, or other objects with the aid of ultrasonic sensor. For detecting the vehicles in blind spot, Neural Fuzzy Logic is used for the proposed system. The connection models for the developed system is identified and proposed. The paper also discusses about the advantages of ZigBee over other wireless technologies. The Wireless Technology identified is ZigBee which will lower the wiring connection in the vehicles. Applications: This method is useful to avoid collision in blind spot and also lowered the wiring connection in the vehicles by using ZigBee. Hence, the proposed system discovers its application in real time and gives collision free environment. The system is evaluated for different driving scenarios and results are discussed.

Keywords

Blind Spot Detection, Collision-Avoidance System, ZigBee Pair.

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M. Sujatha ¹, T. Renugadevi ¹, R. Ezhilarasie ¹, A. Umamakeswari ¹

Affiliations
1 School of Computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN

Abstract

Objectives: With the rapid growth of technology drastically there is an increase in users of computer system. Search system plays a vibrant role in optimizing the search time. Methods/Statistical Analysis: The integrated search system has the need of improving search accuracy and expanding their coverage of search. This can be done using concepts of semantic analysis. Findings: In this paper an integrated system is formulated by accumulating multiple sources such as local storage, secondary storage and online repositories. The keyword is contextually interpreted by making use of ontologies, using this interpretation of the keyword the required multimedia or/and textual data is searched as intended by the user. Applications: This integrated search system analyzes the meaning of the query and provides the search result according to the intention of the user through is proper expansion of keyword.

Keywords

Integrated Search, Ontology, Semantic Analysis.

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R. Ezhilarasie ¹, A. Umamakeswari ¹

Affiliations
1 School of Computing, SASTRA University, Thirumalaisamudram, Thanjavur - 613401, Tamilnadu, IN

Abstract

Objective: The power factor parameter plays an imperative role in design specification of embedded systems as large number of applications that runs on these systems is power critical. To develop a power efficient system, it is essential to know how power is consumed throughout the system. Methods: A proper power analysis tool is designed by partitioned the application and measures the power consumption in each partitioned block. Findings: This tool can be very helpful in the verification process of any embedded systems applications to meet the power constraints. Applications: This tool can be applied in mobile cloud computing environment to determine the power consumed task to get offloaded onto the cloud.

Keywords

Control Flow Graph, Embedded System, Power Optimization, Power Profiling.

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S. Amrutha ¹, T. Mohanraj ¹, N. Chakrapani Ramapriya ¹, M. Sujatha ¹, R. Ezhilarasie ¹, A. Umamakeswari ¹

Affiliations
1 School of Computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN

Abstract

Objective: There is a need for a distributed data storage mechanism to reduce the probability of data loss and cope with node failure as well. The increase in amount of data generated in the wireless sensor network necessitates an innetwork data aggregation protocol that creates summaries of data as information is disseminated in the network. Methods: An effervescent aggregation technique has been formulated that makes use of the existing data redundancy in the dissemination-based network and combines it with consistency checks to filter false aggregate information. A greedy approach is formulated to keep the copies of the data in the nearby neighbour who has greater capacity. Findings: Architecture designed for in-network aggregation helps in dealing with a large amount of data by eliminating redundant information and at the same time distributes the aggregate information in the nearby node since dissemination deals with memory shortage and node failure. Applications: The benefits of the system include that the redundant copies are maintained in some other nodes which has higher memory and power this may, in turn, increase the reliability of the data in nodes of sensor networks and the availability is ensured during the communication with sinks.

Keywords

Data Dissemination, Data Replication, Wireless Sensor Networks.

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T. Renugadevi ¹, R. Ezhilarasie ¹, M. Sujatha ¹, A. Umamakeswari ¹

Affiliations
1 School of Computing, SASTRA University, Thirumalaisamudram, Thanjavur - 613401, Tamilnadu, IN

Abstract

Objectives: The stock market performance has more impact on national economy. The purpose of this work is to generate a portfolio to reduce the uncertainty of stock in short term basis. Methods: Hierarchical clustering is more efficient while non-determinism is of concern when compared with flat clustering. Hierarchical agglomerative Clustering is used, which results in more informative structure than flat clustering on unstructured data. Single-link clustering is taken into account as it does not pays more attention to outliers and amalgamation criterion is local than complete-link clustering and results in intuitive cluster structure. Dendrogram is used to represent the progressive formation of clusters in HAC. Findings: Flat clustering K-means algorithm is used to combine the clusters generated by Hierarchical agglomerative clustering (HAC). As the number of samples has been reduced, iterative use of k-means will choose better centroid. Applications: The final list of the recommended stocks is then showcased to the investor on short term basis. The baseline data is downloaded from National Stock Exchange (NSE).

Keywords

Dendrogram, Hierarchical Agglomerative Clustering (HAC), Single-Link Clustering.

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