Informatics Publishing Limited

Usha Chandrasekhar ¹, S. Kowsalya ¹, K. Rajalakshmi ¹

Affiliations
1 Department of Food Science and Nutrition, Avinashilingam Institute for Home Science and Higher Education for Women, Deemed University, Coimbatore - 641 043, IN

Abstract

Vitamin A under-nutrition is a global health problem and is the major cause of preventable blindness in many developing countries including India, Bangladesh and Nepal. Dietary interventions of including beta carotene rich foods seem to be the surest way of improving the vitamin A nutrition of individuals. Though Indian diets are based mainly on cereals, pulses, green leafy and other vegetables, deficiency of vitamin A may be attributed to the inadequate consumption of carotene rich foods and bioavailability of beta carotene from dietaries. Hence efforts are needed to find out the consumption pattern of carotene rich foods in Coimbatore district. Towards this effort, the present study was undertaken to find out the type of carotene rich foods like green leafy vegetables, other vegetables and fruits consumed in Coimbatore district, frequency of consumption, cooking methods adopted and oils used for cooking.

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K. Rajalakshmi

Abstract

Rajasthan is a land of varied natural resources. Still, the state remains industrially backward compared to other states.

Rajasthan's industrial sector and All India's industrial sector are not mutually exclusive. However, Rajasthan forms only a small percentage of the manufacturing sector of all India. Hence, an econometric study in depth of Rajasthan's industrial sector separately and comparison of the results with those of national aggregates would be helpful to know where precisely Rajasthan stands in the industrial development of the country.

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K. Rajalakshmi ¹, K. Nirmala ²

Affiliations
1 Bharathiyar University, Coimbatore, Tamil Nadu, IN
2 Quaid-E-Millath Government College for Women, IN

Abstract

Objective: The industry of healthcare contains large information, which is difficult to process by manual methods. The large data are too valuable for extracting information and forming relationship from data mining area. Analysis: The experts and experienced doctors are not also available against the large population; sometimes symptoms are also being neglected. The existing system in the medical field is not able to extract all the information and knowledge from the heart disease database. Complex query for the healthcare practitioner to analyze the heart disease is still a challenging task. Finding: This paper is presenting a novel technique like K-Means, Weighted Associative Classifier (WAC) and Prediction Tree C5.0 for analyzing the heart disease and to sort out the existing issues. The K-Means is being used for unsupervised learning cluster within WAC. Initial centroid is being selected by the K-Means, which allow the classifier to extract the record and make a prediction for analyzing the disease with C5.0 prediction tree. The combined technology of K-Means, WAC and Prediction Tree C5.0 will provide a better, integrated, and accurate result over the heart disease prediction. The projected tool is MapReduce with Hive Database in Hadoop open source framework. Hadoop is perfectly compatible for big data projects. Improvements: The approaches for developing an Intelligent System for Heart Disease Prediction with big data mining will be very advantageous by automation of the proposed system K-Means, Prediction Tree C5.0, Weighted Association Classifier (WAC).

Keywords

Hive Database, K-Means Clustering, MapReduce, Prediction Tree C5.0, Weighted Association Classifier, Weighted Support and Confidence.

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E. R. Sowndharya ¹, M. Surya ¹, K. Rajalakshmi ¹, D. Abiya ¹

Affiliations
1 Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore-641407, IN

Abstract

Super market is a place where people get their daily necessities and the major problem faced by users is that they have to wait in long queues for billing. Some improvement is required in the traditional billing system to improve the quality of shopping experience to the customers. The proposed system helps to eliminate all such difficulties by using RFID. This system makes use of a microcontroller which controls the overall process. Once the purchase is completed the total amount will be calculated and the customer can pay their bills using a Smart Card.

Keywords

RFID Reader, RFID Tags, Microcontroller, Buzzer, LCD Display.

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K. Rajalakshmi ¹, N. Banu ¹

Affiliations
1 Department of Biotechnology, Vels Institute of Science, Technology and Advanced Studies, Chennai, Tamil Nadu, IN

Abstract

Synthetic water soluble form of sodium copper salt of chlorophyll is Chlorophyll in. Antibacterial efficiency of Cholorophyllin from Mimosa pudica was tested against Escherichia coli, Staphylococcus aureus, proteus vulgaris, Klebsiella pneomoniae, Bacillus subtilis, and pseudomonas arogenosa. Agar well diffusion method was used to determine the Antibacterial activity and minimum inhibitory concentration (MIC). Sodium copper chlorophyll in from Mimosa pudica shows significant antibacterial activity against all tested micro organisms. Similarly standard sodium copper chlorophyll in also exhibited significant activity. The minimum zone of inhibition and comparatively greater inhibitory concentration were determined in Escherichia coli, Staphylococcus aureus and showed significant activity in other tested organisms. The Spectrum of activity observed in the present study may be the leaf extracts of sodium copper chlorophyll in from Mimosa pudica could be a possible source to obtain new and effective herbal medicines to treat infectious diseases.

Keywords

Mimosa pudica, Sodium Copper Cholorophyllin, MIC, Antibacterial Activity.

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M. Vijayalakshmi ¹, K. Rajalakshmi ¹

Affiliations
1 Department of Electrical and Electronics Engineering, Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai – 600062, Tamil Nadu, IN

Abstract

Objectives: To increase the chances of saving the victims under debris especially those trapped under collapsed building. Methods: Technology used in this project is Internet of Things (IOT); through this technology the information about the victim trapped under debris is collected and stored in internet which is used for future use. A separate website is created to store the information about the workers in and out time and a GPS system is used to identify the victim location Findings: The simulation result explains about the latitude and longitude position of victim under rubble, Employer Id and the status of the victim under rubble. While comparing with the existing system the ARM processor is used where the analog to digital signal conversion is faster while comparing with PIC microcontroller, the information stored about the victim is useful for future purpose. Applications: Improvement is to reduce the size of the hardware and weight of the hardware. It is mainly applicable for saving the victims' life under collapsed building and under rubble.

Keywords

ARMLPC2148A, Collapsed Building, IOT Technology, Piezoelectric Plate and GPS, Victims.

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K. Rajalakshmi ¹, T. Jayendran ¹

Affiliations
1 Dept. of Chemistry, Dhanalakshmi Srinivasan College of Arts and Science for Women, Perambalur-621212, IN

Abstract

The effect of salicylic acid in conjunction with calcium acetate on the corrosion of aluminium in sodium hydroxide (1.0 N) solution has been investigated using Polarisation Measurements, Open Circuit Potential Measurements, Gasometric Measurements and Weight Loss Studies. The inhibition efficiency values determined by techniques, shows close agreement. The combination of salicylic acid and calcium acetate was found to show synergistic inhibition effect. The results collectively are in good agreement and show clearly that salicylic acid in conjunction with calcium acetate is a good corrosion inhibitor for aluminium under the conditions studied.

Keywords

Salicylic Acid in Conjunction With Calcium Acetate, Sodium Hydroxide Solution, Aluminium and Corrosion Inhibition.

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