Informatics Publishing Limited

S. Nazar ¹, S. Ravikumar ¹, G. Prakash Williams ², M. Syed Ali ¹, P. Suganthi ¹

Affiliations
1 School of Marine Sciences, Div. of Marine Pharmaceutical Technol., Dept .of Oceanography & Coastal Area Studies, Alagappa University, Thondi- 623 409, Ramanathapuram District, Tamil Nadu, IN
2 Dept. of Microbiology, Malankara Catholic College, Mariagiri, Kanyakumari District, Tamil Nadu, IN

Abstract

Emergence of resistance among mosquitoes is recent problem. Safe and ecofriendly agents from biological origins is need of the hour. Extracts of 100 coastal plants species from South West coast of India were tested for the larvicidal activity of Culex quinquefasciatus. Of these, 17 plant species showed LC₅₀ within 100 mg.l^-1. The extracts of Cymbopogon citratus and Abrus precatorius were found most effective with LC₅₀ value of 24 and 30 mg.l^-1, respectively.

Keywords

Abrus Precatorius, Coastal Plants, Culex Quinquefasiatus, Cymbopogon Citratus, Mosquito Larvicidal Activity, South West Coast of India

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P. Suganthi ¹, E. Mahalakshmi ²

Affiliations
1 Department of Computer Applications, Sudharsan Engineering College, Pudukkottai, IN
2 Department of Computer Science, Sudharsan Engineering College, Pudukkottai, IN

Abstract

Cloud computing is a large scale distributed computing paradigm in which a pool of computing resources is available to users via the Internet. Hence Security plays  an important role in cloud computing. The universal technique for providing confidentiality of transmitted data is cryptography. This paper provides a technique to encrypt the data using watermark and send the encrypted data through cloud to the requested user. For authentication the sender and receiver exchanges key between them. The key is approved by the owner then only the data accessed by the user. The Rubik’s Cube Encryption is used for the watermark encryption. The result shows better security than existing algorithms. This algorithm provides efficient transmission in heterogeneous computing environments.

Keywords

Cloud Computing, Data Transmission, Security, Encryption Algorithms.

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P. Suganthi ¹, C. Dharshanaa ¹

Affiliations
1 Department of Management Studies, V.V. Vannia Perumal College for Women, Virudhunagar, Madurai, Tamilnadu, IN

Abstract

This paper tries to explore the causal relationship between Foreign Institutional Investment (FII) and Indian Stock Market. Further, the paper examines whether they individually create impact on certain selected macroeconomic variable sand vice versa. Sensex is taken as a representative of Indian Stock Market. Inflation as measured by Wholesale Price Index (WPI), national output as represented by Index of Industrial Production (IIP) and Exchange Rate are the three macroeconomic variables considered for the study. The monthly data of the selected variables for the period from April 2005 to March 2013 is taken for the study. Correlation and Granger causality test have been used to study the causal relationship between FII&Sensex and their causal relationship with the macroeconomic variables. Our results show that a) there is a bidirectional relationship between FII and Sensex, FII and Exchange Rate b) there is unidirectional relationship between Sensex and IIP, Sensex and WPI, FII and IIP&FII and Exchange Rate and c) there is no relationship between FII and WPI.

Keywords

FII, Sensex, WPI, IIP, Exchange Rate and Granger Causality Test.

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P. Suganthi , M. Bhuvaneswari , J. Jayasri , I. Poonguzhali

Abstract

Each vehicle need to be register to get the on-board unit with fuel control system. The unique on-board id and fuel control will be provided at the time of registering. Once the vehicle cross the chargeable zone the unique id from Zigbee (on-board unit id) information will send to the central server system through the Zigbee transceiver. Once the motorist data has been received by the central server system then it will compare motorist information from the database which initially was collected when motorist registered their vehicle with the help of on-board id. The appropriate amount will be deducted from the motorist Bank account and the transaction information will be forward to the motorist onboard unit .If the motorist account have insufficient fund then the failed transaction details with warning message will be forward to the motorist onboard unit. Every client and server action has been stored via Page to the database. The tollbooth data will be stored in the database through the internet in a remote server.

Keywords

Wireless sensor networks, On-Board Unit, Zigbee, RSSI, Bloom Filter.

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A. Meenakshi ¹, R. Aghila ², P. Suganthi ², S. Kavya ²

Affiliations
1 Department of Information Technology, K.L.N. College of Information Technology, Sivagangai, Madurai – 630612, Tamil Nadu, IN
2 Department of Computer Science and Engineering, K.L.N. College of Information Technology, Sivagangai, Madurai – 630612, Tamil Nadu

Abstract

Background: Knowledge Engineering is an engineering discipline that involves integrating knowledge into computer systems in order to solve complex problems normally requiring a high level of human expertise. Knowledge Engineering is the technique applied by knowledge engineers to build intelligent systems: Expert Systems, Knowledge Based Systems, Knowledge based Decision Support Systems, Expert Database Systems etc. Methods: This work builds a Knowledge Base using Knowledge Base Markup Language (KBML) which is derived from XML architecture. All the Meta information is stored in a KBML file whereas the actual data may be available in any data source. Findings: This system also provides facilities to search/add the contents to and from the Knowledge Base dynamically. The experimental results show that the system provides a high precision, recall and f-measure values which proves the high relevance of the retrieved values. Applications: Builds an intelligent system for Edaphology domain which concerns with plants and its related soil features. It provides the edaphologists and agriculturists by retrieving relevant and useful information about the plants. This is of huge importance as plant growth and yield are directly dependent on the soil features.

Keywords

Data Source, Edaphology, Knowledge Base Markup Language, Meta Information

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A. Meenakshi ¹, P. Suganthi ², R. Aghila ², S. Nirmala ²

Affiliations
1 Department of Information Technology, K.L.N. College of Information Technology, Madurai – 630612, Tamil Nadu, IN
2 Department of Computer Science and Engineering, K.L.N. College of Information Technology, Madurai – 630612, Tamil Nadu, IN

Abstract

Background: Data volume with respect to modern systems has been growing outwardly at a rapid rate. The systems also face a tough task of frequent re-scanning of the large datasets stored because of the updation process. Frequent re-scanning, updation and large corpus data leads to having larger retrieval time and decreased efficiency. Hence, the data retrieved by automated systems may not be efficient and accurate. Knowledge Based System using Dynamic decision Quad tree is employed in this paper. The Quad trees designed in this chapter helps in retrieving knowledge about the suitable plants for the given kind of soil. Methods: The Quad trees designed in this paper helps in retrieving knowledge about the suitable plants for the given kind of soil. The Dynamic decision Quad tree is built using the knowledge and information given by Edaphologists and domain experts. The system is made of two modules, namely Dynamic Quad Tree construction module and information retrieval module. In the first module, the obtained data is transformed to a dynamic Quad tree based knowledge data structure. In the information retrieval module, knowledge retrieval is carried out with the help of constructed knowledge base (XML). Findings: Efficient techniques have been developed and tailored for solving complex soil datasets using data mining. The proposed scheme exploits clustering and dynamic decision tree based system for better storage in edaphology compared to existing systems. Dynamic decision quad trees are tailored to make best retrieval in soil databases. Applications: Assist Edaphologists and agricultural experts in obtaining the right crops/plants for the given soil characteristics.

Keywords

Data mining, Edaphology, Information Retrieval, Knowledge Extraction

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