Informatics Publishing Limited

J. Balasubramanian ¹, N. Narayanan ², K. Shahul Hammed Maraicar ², M. Murugan ², K. Azhagesh Raj ², M. Aruna ²

Affiliations
1 Shield Health Care Pvt Ltd, Chennai-600095,Tamilnadu, IN
2 Periyar Maniammai UniversityThanjavur-613403,Tamilnadu, IN

Abstract

Astaxanthin is a red carotenoid pigment extensively found in living organisms. Though Astaxanthin is a carotenoid compound, unlike β-carotene (a vitamin A precursor), cannot be converted to vitamin A. Astaxanthin, a potent antioxidant,with other biological effects protects cell membranes from harmful damage in the body. Studies suggest Astaxanthin may be effective in treating diseases, including cardiovascular, immune disorders, tumor, diabetes, neurodegenerative conditions and inflammatory conditions. Recent studies on Astaxanthin have shown enhancing immune response and decreasing DNA damage in humans. Astaxanthin is capable of crossing the blood-brain barrier in mammals.

Keywords

Astaxanthin, Antioxidant, Immune Response

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J. Anitha ¹, M. Aruna ²

Affiliations
1 GRG School of Management Studies, Peelamedu, Coimbatore, IN
2 PSGR Krishnammal College for Women, Peelamedu, Coimbatore, IN

Abstract

Owing to the revolution of Information Technology, Human Resource Information Systems (HRIS) is of profound significance in managing Human Resources in the contemporary globalised knowledge economy. HRIS is a part of Management Information System that provides a pool of information that harmoniously integrates with the other functions of HR striving for business excellence. The last decade has seen a significant increase in the number of organizations gathering, storing, analysing, and distributing human resources data using Human Resource Information Systems. This is a conceptual paper that focuses on comprehensive exploration of studies that detail on adoption of HRIS in organisations. The aim of this research paper is to identify various variables that influence adoption of HRIS or any Information Systems through a thorough literature study and consolidate them under four major factors namely Technological, Organisational, Environmental and Psychological factors. Validating this model would help the organisations to understand the essential focus areas for successful adoption of HRIS. It visualises that though HRIS utility is in its infancy stage, the complexity and strategic planning required by present day organisations, reinforces to rely on HRIS for futuristic approach.

Keywords

Human Resource Information System, Information Systems, Technological Factors, Organisational Factors, Environmental Factors, Psychological Factors.

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V. Srinivasan ¹, G. Rajenderan ², J. Vandar Kuzhali ³, M. Aruna ⁴

Affiliations
1 Department of MCA, Velalar College of Engineering and Technology, Thindal, Erode (Dt), Tamil Nadu, IN
2 School of Science & Humanities, Kongu Engineering College, Perundurai, Erode (Dt), Tamil Nadu, 638 052, IN
3 Anna University of Technology Coimbatore, Tamil Nadu, 638 057, IN
4 Department of MCA, Velalar College of Engineering and Technology, Thindal, Erode(Dt), Tamil Nadu, 638 012, IN

Abstract

Many applications tract to classify data for actionable alerts, which may include for example rule based algorithm, decision tree base algorithm, K-nearest neighbor and so forth. Some classification models are built for their accuracy. We propose a novel way to incorporate FSVM (Fuzzy support vector machine) with a fuzzy approach offers a good comparison between fastness and accuracy. This method can be used for any data set and shows a significant reduction in time to classify the data sets with more accuracy when compared to the SVM. With the fuzzy approach the SVM algorithm shows the high efficiency and good scalability. Our through performance study with some large database and categorical database has shown that FSVM out performs many well-known classifiers in terms of both accuracy and computational efficiency and scales well with regards to the size of the database.

Keywords

Fizzy Classification, Entropy, Information Gain, SVM.

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M. Aruna ¹, V. Dhanalakshmi ², S. Mohan ³

Affiliations
1 Velammal College of Engineering and Technology, Madurai, Tamil Nadu, IN
2 Thiagarajar College of Engineering, Madurai, Tamil Nadu, IN
3 Central Electro Chemical Research Institute (CECRI), Karaikudi, IN

Abstract

High speed cutting is an important aspect of advanced manufacturing technology introduced to achieve high productivity and to save machining cost. The combination of high speed cutting and dry/wet cutting for difficult-to-cut aerospace materials is the growing challenge to deal with the economic aspects of machining. In the machining of aeronautical materials, classified as difficult-to-machine materials, the role of lubricant during the machining operations is very important. In this paper, attention is focused on Inconel 718 and concerning machining of this material under wet condition. A series of experiments are conducted by varying the process parameters and their special effect on tool wear is calculated. The experimental results indicate that the cutting speed is the most significant factor to the overall performance. The correlation between cutting speed and feed with the tool wear is obtained by multi-variable linear regression and is compared with the experimental results.

Keywords

Ceramics, Inconel 718, Machinability.

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P. Rajammal Devadas ¹, P. Parvathi Easwaran ¹, M. Aruna ¹

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

Abstract

Roadside catering units are an uproar business in most of the leading cities in India. They are patterned to render services to the working classes of the low and middle income strata of the society. The mushroom growth of these units around the busy areas are so popular that it has been a source of self employment for many unemployed youth. The factors usually desired by the clients were low price and simple and fast service though these food are popular. The wholesomeness of these foods in terms of sanitation are questionable.

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M. Aruna ¹, K. Kavitha ², R. Madhusudhan Raju ³, K. Narasimha Reddy ⁴

Affiliations
1 Dept. of Chemistry, University College of Science, Osmania University, Hyderabad-500007, IN
2 All India Net Work Project on Pesticide Residues, Rajendranagar, PJTS Agricultural University, Hyderabad – 500 030, IN
3 Dept. of Chemistry, University College of Science, Osmania University, Hyderabad – 500 007, IN
4 All India Net Work Project on Pesticidce Residues, Prof. Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad – 500 030, IN

Abstract

There are many analytical methods to estimate the pesticide residues in agriculture produce and food products . The multi chemical group pesticide residue analytical method has been validated for the routine analysis of 54 multi chemical class pesticide residues in Citrus fruit (citrus limetta) and fortified levels of 10 μgkg^-1 to 100 μgkg^-1 by Liquid chromatography coupled with triple quadrupole mass spectrometry (LC-MS/MS- TQ) in a single run of 24.01minutes. And the method was applied for the analysis of different fruits i.e., Mango, bear, Banana, grapes, pomegranate, guava etc. By this method volatile and non volatile pesticides of different chemical class can be identified and quantified in single stroke in a sample. Samples were extracted by the adopting QuEChERS method including extraction of sample with acetonitrile and simultaneous liquid partitioning by adding addition of Sodium chloride and Sodium sulphate followed by simple clean up by adding anhydrous magnesium sulfate (MgSO₄) and primary secondary amine (PSA) based on the principle of dispersive solid phase extraction(dSPE). By this method the finding obtained were high recoveries, accuracy, repeatability, reproducibility of results and small quantity of sample and less volumes of solvents are used by this method. The limit of detection (LOD) was 5 μg kg^-1 and limit of quantification in citrus fruit was (LOQ) 10 μg kg^-1 found by this method.

Keywords

Multi Chemical Class Pesticide Residues, Citrus, LC/MS/MS, QuAChERS Method.

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R. Tillak Raaj ¹, M. Aruna ¹, A. Shahana Ikhlas ¹, R. Priya Dharshini ¹, N. Hephzibah Kirubamani ¹

Affiliations
1 Saveetha Medical College and Hospital, Thandalam, Chennai – 602105, Tamil Nadu, IN

Abstract

Objective: To estimate the gestational age by using symphysio fundal height and abdominal girth and to correlate with USG gestational age. The simplest way to determine gestational age is to examine the mother by palpating the abdomen and estimating the size of her uterus compared with a landmark such as umbilicus. Measuring symphysio fundal height and abdominal girth can be used as a sensitive indicator in estimating the gestational age. Methods: About 180 women were enrolled in this prospective population based observational study, who were attending Saveetha Medical College and Hospital Obstetric OPD and the gestational age was estimated by measuring symphysio fundal height abdominal girth and correlating it with ultrasound finding. Result: About 80.52% of gestational age found by symphysio fundal height correlated with the gestational age found by LMP and 77.73% of gestational age found by symphysio fundal height correlated with gestational age found by USG. About 72% of the gestational age estimated by abdominal girth correlated with the gestational age found by LMP and 66.57% of gestational age found by abdominal girth correlated with gestational age found by USG. About 19.479% of gestational age determined by symphysio fundal height did not correlate with gestational age found by LMP; they were further evaluated by USG to find the accuracy and the cause. The USG results showed the following- 4.5% were having low growth profile, 5.8% were found to have intrauterine growth retardation (IUGR), 7.97% had macrsomia due to gestational diabetes and 1.2% was polyhydramnios. Even the USG findings in cases not correlating with abdominal girth the same reasons were obtained in 19.479% and the remaining 8.52% among the 72% of gestational age found by abdominal girth not correlating with LMP were found to be false positive. Conclusion: SFH was found to have high sensitivity in estimating the gestational age when compared to gestational age estimated by abdominal girth, even in the presence of USG and hence it can be used as a good indicator in low setting areas.

Keywords

Abdominal Girth, Correlation, Gestational Age, Symphysio Fundal Height, Ultrasound.

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R. L. Shreekant ¹, M. Aruna ¹, Harsha Vardhan ¹

Affiliations
1 Department of Mining Engineering, National Institute of Technology Karnataka, Surathkal, Mangalore-575025, Karnataka, IN

Abstract

Mining of iron ore invariably produces lot of waste which significantly damages the environment in different ways. To reduce this environmental damage to a certain extent, iron ore waste can be utilized for making bricks in the construction industry by way of mixing it with some additives. In this investigation, an attempt was made to investigate the impact of major chemical composition of prepared iron ore waste (IOW) bricks on its compressive strength. The chemical compositions like total percentage of Al₂O₃, SiO₂ and Fe₂O₃ present in a brick were observed through the output of Java program for different mix ratios. Based on the available data, results of investigation on the impact of chemical composition of bricks on its compressive strength revealed no appropriate relationship with total percentages of SiO₂ and Al₂O₃ present in a brick. However, with increase in total percentage of Fe₂O₃ present in a brick, its compressive strength was found to decrease gradually. Hence, it is suggested to prepare non-fired bricks from iron ore waste fines containing low percentage of Fe₂O₃, which is also desirable from the point of view of mineral conservation. It is suggested to take up detailed investigation in future to study exclusively the influence of different types of chemical constituents which are present in IOW brick and correlate it with compressive strength and water absorption by carrying out regression analysis and arrive at some useful conclusion.

Keywords

Iron Ore Waste (IOW), Fly-Ash, Compressive Strength, Chemical Composition, Al₂O₃, SiO₂, Fe₂O₃.

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R. L. Shreekant ¹, M. Aruna ¹, Harsha Vardhan ¹

Affiliations
1 Department of Mining Engineering, National Institute of Technology Karnataka, Surathkal, Mangalore, IN

Abstract

India is one of the major iron ore producers and exporters in the world. Previous studies have estimated that around 10-15% of the iron ore mined in India is unutilized, and is discarded as waste/tailings due to lack of cost effective technology in extracting low grade ores in the country. The waste thus produced in the form of slimes has remained a major unsolved and challenging task for the Indian iron-ore industry. Many investigators in the past have worked in this regard for comprehensive utilization of such waste so as to reduce its impact on the environment. There is a significant demand for building materials in India and it is therefore imperative to use the mining and mineral wastes in the production of bricks, concrete blocks and any other value added products. In the present paper an attempt has been made to prepare modular bricks using iron ore waste with fly ash and cement as aggregates. Bricks were prepared as per IS standards and tested for its viability for usage in construction industry. The results of the study reveal that a mixture with 70% iron ore waste, 15% cement and 15% fly ash meets the IS standards.

Keywords

Iron Ore Waste, Aggregates, Bricks, Compressive Strength, Water Absorption.

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R. L. Shreekant ¹, M. Aruna ¹, Harsha Vardhan ¹

Affiliations
1 Department of Mining Engineering, National Institute of Technology Karnataka, Surathkal, Mangalore, IN

Abstract

The exploitation of mineral resources would promote the development of economy and society, but it will also generate massive waste/tailings that may pollute the environment significantly (in the form of spreading of waste in and around the mines, siltation of soil/slimes in nearby water bodies, air pollution etc.) Therefore, developing comprehensive utilization of waste fines/tailings in large scale is the need of the day in order to improve the surroundings and for sustainable development of resources. Manufacturing of non-fired bricks is one of the options for utilization of waste generated in mines along with reduction of CO₂ emission. If the waste material is improperly dumped in mine site, the flow of material during rainy season may reduce the fertility of nearby agricultural land. Hence, waste utilization plays a vital role in natural resource conservation. Further, building blocks/bricks from mine waste is eco-friendly as it utilizes waste and reduces air, land and water pollution. It is energy efficient and also cost effective as reported by various investigators in the past. Hence, it is very much necessary to find alternative for making use of iron ore waste material (fines)/tailings as an aggregate in construction materials like bricks or paving blocks. This paper provides a critical review of the utilization of mine waste for brick making in the construction industry.

Keywords

Exploitation, Bricks, Iron Ore Waste, Tailings, Aggregate, Overburden, Sustainable Development.

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M. Aruna ¹, Dr. S. Sugumaran ¹, Dr. V. Srinivasan ¹

Affiliations
1 Department of Master Computer Application, Velalar College of Engineering and Technology, Erode, Tamil Nadu, IN

Abstract

In many research areas it’s always found that it is very difficult to cluster the databases which come under the close region of clusters. This work proposes a novel methodology for performing a structured cluster analysis of share market data. In this work clustering is done using the Mean Centroid K-Means Clustering (MCKM) algorithm and complex regions are selected which are closed to two or more clusters and this selected database is again carefully examined by each of the attribute and then finally clustered to produce more accuracy. In the proposed MCKM Clustering algorithm, centroid value is chosen based on the mean value of the data points. Instead of using random centroid values, mean value of the data points are used as the centroid for clustering. Proposed work has used stock returns at different times along with their valuation ratios from the stocks of National Stock Exchange (NSE) for the India's leading stock exchange. Results of the analysis shows that MCKM analysis builds the most compact clusters when compared to K-Means clustering and self organizing maps (SOM) for share reduced features data. The results are measured by using Silhouette index and Davies–Bouldin index.

Keywords

Boundary Region Analysis, Precision Clusters, Share Market Database, Large database, Reduced Dataset, Clustering, Mean Centroid K-Means Clustering (MCKM) Algorithm

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