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P. Kamalakannan ¹, Ravichandran ¹

Affiliations
1 Department of Soil Science and Agricultural Chemistry, Faculty of Agriculture, Annamalai University, ANNAMALAI NAGAR (T.N.) INDIA, IN

Abstract

No Abstract

Keywords

Sandy soil, Loam soil, Zinc, Boron, Organics, Growth, Yield, Groundnut

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R. Suganthi ¹, P. Kamalakannan ²

Affiliations
1 Department of Computer Applications, Valluvar College of Science and Management, Karur, Tamilnadu, IN
2 Department of Computer Science, Government Arts College, Namakkal, Tamilnadu, IN

Abstract

Nowadays, A multi database mining is a important role between head quarters company and their corresponding branch offices in various places among the world. It allows to forward their branch office local patterns to the head quarters which will be synthesized for taking decision in multi databases. we propose a new approach to finding exceptional patterns and compared with the previous methods in multiple databases. the result is compared with the various methodologies yields high performance result than the other methods. it perform well with multiple dataset and it is simple and effective. it yields high outstanding accuracy and the resulting data could be used for further mining.

Keywords

Exception Patterns, Machine Learning, Multi Database, Local Patterns.

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R. Suganthi ¹, P. Kamalakannan ²

Affiliations
1 Department of Computer Applications, Valluvar College of Science and Management, Karur - 639003, Tamil Nadu, IN
2 Department of Computer Science, Government Arts College, Namakkal - 637 001, Tamil Nadu, IN

Abstract

The information from multiple local databases can be mined together to make global patterns. More global decisions will be based on synthesized patterns and exceptional patterns using clustering technique. To take better decision in organization head quarter level, exceptional patterns also need to be analyzed for non profitable things which help for continuous company growth. Our new strategy is developed considering both clustering the frequent items also exceptional patterns. Various experiments are conducted with 10 sample datasets and the results are recorded in experimental section, with this the significance and limitations behind those approaches can be made clear.

Keywords

Exceptional Patterns, Frequency Item Sets, Global Patterns, Multi Database Mining

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P. Kamalakannan ¹, R. Suganthi ²

Affiliations
1 Arignar Anna Government Arts College, Namakkal-637002, IN
2 Valluvar College of Science & Management, Karur-639006, IN

Abstract

The notion of Multi Database Mining has been recognised as an important area in data mining community for determining various novel patterns among item sets that co-occur frequently. This paper shows the kinds of High level patterns, Exceptional Patterns and Suggested patterns and their applications. For giving a comfortable and easy usage, we constructed the multi database mining designed by fusing local patterns and universal techniques. After designing with new fusion, it helps much and provides the company many advantages. In order to improve the performance of various patterns, many multi database mining techniques used which leads to take a fruitful decision in the interstate companies.

Keywords

Association Rule, Patterns, Local Patters, Synthesized Patterns.

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P. Kamalakannan ¹, M. Ravichandran ¹

Affiliations
1 Department of Soil Science and Agricultural Chemistry, Annamalai University, Annamalainagar, Chidambaram (T.N.), IN

Abstract

Field experiments were carried out in a farmer,s field at Chinnathanakuppam and Ayeekuppam villages, Cuddalore district during December, 2009 and March, 2010 to evaluate suitable organic and inorganic sources of nutrients on availability of major and micronutrients at different growth stages of groundnut. The experimental site at Chinnathanakuppam village belongs to Vadalapakkam series (Typic Rhodustalf) with sandy clay loam texture having pH- 7.8 and EC- 0.36 dSm^-1. The soil was low in organic carbon (3.4 g kg^-1), medium is in alkaline KMnO₄-N (285 kg ha^-1), low in olsen-P (11.0 kg ha^-1)and medium in NH₄OAC-K 190 kg ha^-1. The experimental soil at Ayeekuppam village belongs to Vadupudupet series (Typic Haplustalf) with loamy sand in texture, having a pH - 8.1 and EC- 0.41dSm^-1. The soil was low in OC (2.8 g ha^-1), low in available nitrogen (230 kg ha^-1) and P (9.0 kg ha^-1) and medium in K (160 kg ha^-1). The experiment was conducted with 16 treatments combinations. The treatments consisted of different levels of NPK viz., 100 per cent, 75 per cent and 50 per cent RDF and different sources of nutrients viz., farmyard manure @ 12.5 t ha^-1, fly ash @ 10 t ha^-1 and humic acid @ 20 kg ha^-1 along with micronutrients boron @ 10 kg ha^-1 and zinc sulphate @ 25 kg ha^-1. The experiment was laid out in Randomized Block Design with three replications and tested with groundnut crop variety JL-11. The results reveled that the combined application of 100 per cent RDF + FYM significantly increased soil availability of nitrogen, phosphorus and potassium at all stages of crop growth in both soils. Among micronutrient treatments, 100 per cent RDF+ZnSO₄+FYM recorded maximum DTPA extractable zinc and 100 per cent RDF+Boron+FYM treatment registered maximum hot water soluble boron in both sandy clay loam and loamy sand soils at flowering, peg formation and harvest stages, respectively.

Keywords

Major and Micronutrients Availability, Texturally Different Soils, Different Growth Stages, Ground Nut Crop.

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P. Kamalakannan ¹, M. Ravichandran ¹

Affiliations
1 Department of Soil Science and Agricultural Chemistry, Annamalai University, Annamalai Nagar, Chidambaram (T.N.), IN

Abstract

Field experiments were carried out in a farmers field at Chinnathanakuppam and Ayeekuppam villages, Cuddalore district during December, 2008 and March, 2009 to evaluate suitable organic and inorganic sources of nutrients to groundnut crop. The experimental soil at Chinnathanakuppam village belongs to Vadalapakkam series (Typic rhodustalf) with sandy clay loam texture having pH-7.8 and EC-0.36 dS m^-1. The soil was low in organic carbon (3.4 g kg^-1), medium in alkaline KMnO₄-N (285 kg ha^-1), low in Olsen-P (11.0 kg ha^-1) and medium in NH₄OAC-K (190 kg ha^-1). The experimental soil at Ayeekuppam village belongs to Vadapudupet series (Typic haplustalf) with loamy sand in texture, having a pH-8.1 and EC-0.41 dSm^-1. The soil was low in OC (2.8 g kg^-1), low in available N (230 kg ha^-1) and P (9.0 kg ha^-1) and medium in available K (160 kg ha^-1). The experiment was conducted with 16 treatment combinations. The treatments consisted of different levels of NPK viz., 100 per cent, 75 per cent and 50 per cent RDF and different sources of nutrients viz., farm yard manure @ 12.5 t ha^-1, fly ash @ 10 t ha^-1 and humic acid @ 20 kg ha^-1 along with micronutrients boron @ 10 kg ha^-1 and zinc sulphate @ 25 kg ha^-1. The experiments was laid out in Randomized Block Design with three replications and tested with groundnut crop variety JL-11. The results indicated that application of 100 per cent RDF + FYM + ZnSO₄+ boron (T₈) recorded the highest pod and haulm yields of 2853 and 4573 kg ha^-1 in sandy clay loam soil and 2415 and 3578 kg ha^-1 in loamy sand soil, respectively. Among the sources tried, FYM was superior in the performance of yield. Similarly in major nutrients uptake, treatment T₈ showed significant variation with remaining treatments.

Keywords

Organics, Inorganics, Micronutrients, Groundnut Crop, Texturally Different Soils, Yield.

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S. Chandraprakash ¹, T. Karuppusamy ¹, U. K. Gowri Shankar ¹, P. Kamalakannan ¹

Affiliations
1 Department of Electrical and Electronics and Engineering, KPR Institute of Engineering and Technology, IN

Abstract

The growth of a nation requires increased consumption of energy, particularly electrical energy this has led to increase in the generation and transmission facilities to meet the increasing demand. Remote generation and system interconnections leads to a search for efficient power transmission at increasing power levels. The increase in voltage levels is not always feasible. The problems of AC transmission particularly in long distance, has led to the development of DC Transmission. In order to overcome this problem implementing the Modular DC/DC converter system for HVDC utility grid. A modular DC/DC conversion system with converters and step-up transformer for output energy which is integrated into HVDC grids. The conversion system consists of two power stages, with SEPIC converter as the first stage and a step-up transformer as the second stage.  This configurations have been developed in order to achieve the system efficiency. An overview of the main HVDC system that can be used for utility grid connected system. For reducing man power the automatic monitoring scheme is implemented by using IOT we can view it in wireless device. By using this conversion we can easily generate the HVDC grid voltage from a small amount of DC through various applications. In this system we use transformer for step-up and the isolation purpose for protection of the converters.

Keywords

DC-Direct Current, HVDC-High Voltage Direct Current, PIC – Programmable Interrupt Controller, SEPIC-Single Ended Primary Inductor Capacitor, AC-Alternating Current.

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