Informatics Publishing Limited

A. Serma Saravana Pandian ¹, K. N. Selvakumar ¹, M. Prabu ¹

Affiliations
1 Tamil Nadu Veterinary and Animal Sciences University, Chennai- 600 007, IN

Abstract

In this study an attempt was made to segment milk production in the state of Tamil Nadu into homogenous milk zones based on the resource endowments favourable for the development of dairy industry. Based on the results of multi dimensional scaling, four distinct groups of districts were carved out based on their proximity and the districts were identified in different zones. In the first zone, there were seven districts as Kanchipuram, Vellore, Thiruvannamalai, Villuppuram, Pudukkottai, Namakkal and Salem districts. In the second zone there were five districts namely Erode, Coimbatore, Dharmapuri, Didigul and Thiruchirappalli districts. The third zone comprises four districts viz., Thoothukudi, Tirunelveli, Virudhunagar and Nilagiri districts. The districts in the Zone IV included Nagappattinam, Thanjavur, Cuddalore, Madurai, Sivagangai, Ramanathapuram and Kanniyakumari districts. The multiple discriminant function analysis was used to check whether the groups of districts (Zones) are homogenous or not. The results of the Eigen values and percentage variance explained by the three discriminant functions showed that the first function has the highest percentage of variance (77.92 per cent), followed by the second function (21.47 per cent) and the third function has the least percentage of variance (0.607 per cent). These three functions together could explain 100 per cent of the variation and the estimated discriminant functions have effectively discriminated the districts in four zones and the districts in each of the four zones were of homogenous nature.

Keywords

Milk Zones, Segmenting, Multi Dimensional Scaling

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P. I. Divya ¹, M. Prabu ¹, A. Serma Saravana Pandian ¹, G. Senthilkumar ¹, B. Jaya Varathan ¹

Affiliations
1 Department of Animal Husbandry Economics Madras Veterinary College, TANUVAS, Chennai-7, IN

Abstract

A study was undertaken to assess the energy use pattern in cow milk production based on the primary data collected from sixty dairy farmers from Kancheepuram district of Tamil Nadu. The results revealed that the highest input energy per animal per day was noticed in large farms (182.59 MJ), followed by medium farms (178.30 MJ), small farms (159.38 MJ) with the overall average of 173.85 MJ. Of all the input energy components, green fodder occupied a major share (61.92 %), followed by concentrate (23.49 %), veterinary expenses (8.34 %), dry fodder (3.78 %) and human labour (2.22 %). Average output energy per animal per day was the highest in large farms as the milk yield was higher (18.17 MJ), followed by small farms (15.32 MJ) and medium farms (15.02 MJ) with the overall average output energy of 15.83 MJ. Out of the total output energy, 83.83 % was from milk and the rest from manure. The results of energy ratio indicated that, small and large farms were having the higher energy ratio of 0.10 compared to energy ratio of medium farms (0.08). Regarding the energy productivity, large farmers were more productive with 100 MJ of energy, 3 litres of milk was produced. Regarding the factors influencing the energy use efficiency of dairy farms, the parameter estimates of the determinants of energy productivity showed that variable farm size (number of animals) and breed were found to be significantly influencing the energy productivity.

Keywords

Dairy Farm, Energy Use, Inputs and Output, Energy Ratio

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M. Prabu ¹, P. Kalaamani ²

Affiliations
1 Department of Mechanical Engineering, St. Joseph College of Engineering & Technology, Daressalaam, TZ
2 Department of Computer Science Engineering, St. Joseph College of Engineering & Technology, Daressalaam, TZ

Abstract

A multivariate approach based on correlation analysis to solve optimal cell formation problem of group technology in which exceptional machines and parts are considered. The proposed approach is carried out in three phases. In the first phase, the correlation matrix is used as similarity coefficient matrix. In the second phase, Principal Component Analysis (PCA) is applied to find the eigen values and eigen vectors on the correlation similarity matrix. A scatter plot analysis as a cluster analysis is applied to make simultaneously machine groups and part families while maximizing correlation between elements. In the third stage, an algorithm is improved to assign exceptional machines and exceptional parts using respectively angle measure and Euclidian distance Extending the proposed approach to identify the role of part family in lean manufacturing system, role of design conformance in lean manufacturing system, role of GT Management & automated factor in lean manufacturing systems direction is our interesting research perspective.
The outline of the paper is as follows: Section 1 describes the introduction, Section 2 describes literature review, Section 3 describes exiting methods manufacturing CF problem which use similarity coefficients approach, CF problem with exceptional machines and parts and performance criteria. Then the proposed approach is presented in Section 4, give presentation for each proposed methodology phase. Lastly, conclusion is made in Section 5.

Keywords

Group Technology, Cellular Manufacturing, Lean Manufacturing, PCA.

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M. Prabu ¹, R. Shanmugalakshmi ²

Affiliations
1 Computer Science and Engineering Department, Adhiyamaan College of Engineering, Hosur, Anna University, Coimbatore, Tamil Nadu, IN
2 Government College of Technology, Coimbatore, Tamil Nadu, IN

Abstract

To date, most of the signature schemes are based on Elliptic curves. The Elliptic curve based on signature scheme is called as ECDSA.In support of this scheme a study on a number of schemes was done. We also extend this signature schemes to a Variant Scheme level of ECDSA.In this paper, we propose a new variant ECDSA scheme that will produce the high level of security with the help of the parameters. We give a brief preamble to the signature scheme in chapter I and the give a comparative result in the chapter XI. Finally, we show that the proposed variant ECDSA satisfy every security levels on the signature schemes.

Keywords

DSA, ECDSA, Lamport, Schnorr, Signature Scheme.

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M. Prabu ¹, S. Natarajan ¹, L. Pugalendhi ¹, R. Murugesan ¹

Affiliations
1 Department of Vegetable Crops, Horticultural College and Research Institute, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN

Abstract

A field experiment to study the soil, plant nutrient status and yield of hybrid chilli (Capsicum annuum L.) CCH1 as influenced by fertigation of N and K fertilizers was carried out during 2010-12. The experiment was laid out in Randomized Block Design with three replications and the treatments included were three levels (125, 100 and 75 % recommended dose) each of water soluble and straight fertilizers. The soil nutrient parameters viz., available soil nitrogen, phosphorus, potassium content and plant nutrient parameters viz., leaf nitrogen, phosphorus and potassium were recorded. The yield parameters like number of fruits per plant, fruit girth, and fruit weight, green fruit yield per plant and per plot were also recorded. The study revealed that the soil and plant nutrient contents in general increased up to 120 days and then declined. Among the several treatments, NPK @ 100 per cent recommended dose of water soluble fertilizers along with liquid biofertilizers registered the highest value for the soil, plant nutrient content and yield parameters.

Keywords

Fertigation, Soil, Leaf Nutrients, Water Soluble Fertilizers, Straight Fertilizers, Yield.

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