Informatics Publishing Limited

M. Sangeetha ¹, J. Sheela ¹

Affiliations
1 Department of Psychology, Women's Christian College, Chennai, IN

Abstract

The study aims to investigate whether marital hardiness predicts marital adjustment in professionals in the fields of Medicine, Information Technology and Education with a working spouse. An ex-post-facto survey research was adopted for the present study.The sample size for thes tudy was 345(N=345)of which ll6 were males and 229 were females. The age of the individuals who were part of the study was 22 to 58 years. The average age of the husbands was 38.22 years and that of the wives was 34.53 years.The method of purposive sampling was used for the selection of sample. The Marital Hardiness Scale (Sangeetha 2009) and the ABC Scale of Marital Relationship (Nappinnai 2006) were the tools used for the study. The independent sample t-test, One-way Analysis of Variance (ANOVA), Pearson's product-moment correlation and multiple regressions were the statistical techniques used for data analysis. The results show that among professionals in the fields of Medicine, Information Technology and Education with a working spouse profession, gender, type and nature of marriage, type of family, presence of an adolescent child, chronological age, age at marriage, years of marriage and number of children do not contribute to marital adjustment. Marital hardiness is related to marital adjustment. Quality of relationship, a dimension of marital hardiness has emerged as a significant predictor of marital adjustment.

Keywords

Marital Hardiness, Marital Adjustments.

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B. Raveendranadh Singh ¹, M. Sangeetha ², Addula Sandhya ³

Affiliations
1 Visvesvaraya College of Engineering and Technology, M.P Patelguda, Ibrahimpatnam(M), Ranga Reddy(D)-501510, IN
2 Department of Computer Science & Engineering, Visvesvaraya College of Engineering and Technology, M.P Patelguda, Ibrahimpatnam (M), Ranga Reddy (D)-501510, IN
3 Department of Computer Science & Engineering, Visvesvaraya College of Engineering and Technology, M.P Patelguda, Ibrahimpatnam(M), Ranga Reddy(D)-501510, IN

Abstract

Privacy has got considerable attention but is still there is a problem inside multimedia local community. Consider some sort of cloud research scenario the spot that the server can be resource-abundant, and is also capable regarding finishing the particular designated duties. It can be envisioned in which secure advertising applications using privacy preservation is going to be treated seriously. In view that the scale-invariant characteristic transform (SIFT) has become widely adopted in several fields, this project may be the first to the fact that privacy-preserving SORT (PPSIFT) and to address the condition of safeguarded SIFT characteristic extraction and also representation inside encrypted domain.

Keywords

Feature Extraction, Privacy Preservation, Security.

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S. Rajasulochana ¹, M. R. Raji ², M. Sangeetha ¹

Affiliations
1 Department of Computer Science and Engineering, SriGuru Institute of Technology, Coimbatore, IN
2 Department of Computer Science and Engineering, SriGuru Institute of Technology, Coimbatore, IN

Abstract

3D printing, an open source additive manufacturing technology, has fueled the way the products are manufactured. It is a rapid prototyping technique with which new products can be developed and manufactured. With the advancement in 3D printing technologies it is feasible to develop from prototype models to real objects like car, bi-cycle, etc. quickly and economically. 3D printing is likely to find its applications in fields such as medicine where tissues can be developed for organ replacement. This paper presents a brief survey on various technologies in 3D printing. It also discusses the environmental impact of 3D printers and about how the materials used in 3D printing process are not harmful to the society.

Keywords

3D Printing, Additive Manufacturing, Rapid Prototyping, 4D Printing.

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M. Sangeetha ¹, K. Anandakumar ²

Affiliations
1 Bharathiar University, Coimbatore - 641 046, Tamil Nadu, IN
2 Bannari Amman Institute of Technology, Sathyamangalam - 638401, Tamil Nadu, IN

Abstract

Objective: The main objective of this research is to establish the semantic gap between human-understandable high-level semantics and machine generated low-level features for Automatic image annotation in Annotation based Online Image Retrieval system. The semantic gap reduction is also concentrated where there will present more semantic gap between the human and machine defined entities. Methods/Statistical Analysis: Semantic annotated Markovian Semantic Indexing (SMSI) is used for retrieving the images and automatically annotates the images in the database using hidden Markov model. In contrast to traditional annotation based image retrieval system, retrieves images based on low-level features, the proposed SMSI semantically retrieves the images by searching semantically annotated images in a database for a user query. Each image in a large collection of training samples is then annotated automatically with the a posteriori probability of concepts present in it. At last semantic retrieval of images can be done by measuring semantic similarity of annotated images in the large database by using Natural Language processing tool namely WordNet. In addition to that entity based ontology representation is introduced which tend to map the human defined higher level keywords to the machine specific lower lever features. It is achieved by converting the lower level feature values into the intermediate level features. Findings: The presented SMSI method possess definite theoretical advantages and also to achieve better Precision versus Recall results when compared to Latent Semantic Indexing (LSI) and Markovian Semantic Indexing (MSI), methods in Annotation-Based online Image Retrieval system. The better accuracy is achieved while retrieving the contents based image annotation where the semantic gap is reduced considerably. Application/Improvements: Thus the analysis of presented work is demonstrates semantically related features of images and achieves improved retrieval result when compare with the other state-of-art techniques.

Keywords

Automatic Image Annotation, Latent Semantic Indexing, Markovian Semantic Indexing, Semantic Annotated Markovian Semantic Indexing.

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M. Sangeetha ¹, P. Vijayakumar ¹, B. Madhukar Krishna ¹, U. Sai Krishna ¹

Affiliations
1 Department of ECE, SRM University, Kattankulathur - 603203, Chennai, Tamil Nadu, IN

Abstract

Background/Objectives: To create a comprehensive fleet tracking system using Internet Of Things (IOT). A fleet tracking system generally provides information on the route that is being used by the vehicle. Other general information like source, destination and driver information can be fed into the system beforehand. Methods/Statistical Analysis: For Intelligent Transportation System (ITS) applications, it becomes necessary to provide several real-time data such as temperature, pressure and humidity to ensure that the transported perishable goods are in good condition. In this paper, the parameters are monitored using a Raspberry-pi and a Sense Hat. Findings: This paper also aims to provide a security feature that can identify authorised personnel who can get access to the transported goods, using Raspberry pi and a Raspberry pi Camera with night vision to provide the real-time information and security alerts using image processing technology. These data are then fed to a server to provide access to drivers, administrators, vendors and management teams for efficient handling of the services. Applications/Improvements: With the boom in online shopping sector and an increase in demand in the freight transportation services, a security feature that can identify authorised personnel can go a long way in improving security.

Keywords

IoT, ITS, Raspberry pi, Sense Hat

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M. Sangeetha ¹, R. Natesan ¹, R. Santhi ¹

Affiliations
1 Department of Soil Science and Agricultural Chemistry, Tamil Nadu Agricultural University, Coimbatore, IN

Abstract

To study the influence of seasonal variation on the nitrate contamination of groundwater, water samples were collected during the pre and post-monsoon seasons from open wells, bore wells and hand pumps at different villages spread over in the 18 blocks of the Coimbatore district of Tamil Nadu. The water samples were analysed for pH, EC and NO₃-N content. Results indicated that the groundwater of different blocks of Coimbatore ranged from neutral to alkaline in reaction and saline in nature. The overall mean NO₃-N content of groundwater samples of different blocks varied from 5.20 to 9.52 mg L^-1 with the overall mean value of 6.74 mg L^-1 and it is below the critical level of 10.0 mg L^-1. The higher mean NO₃-N content was observed in groundwater samples collected from Gudimangalam block followed by Periyanaickenpalayam and Sultanpet blocks. The temporal variation in NO₃-N content of groundwater samples was observed, being higher in the post monsoon than in the pre monsoon season.

Keywords

Nitrate Contamination, Groundwater, Temporal Variation.

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Ananda Das Gupta ¹, M. Sangeetha ²

Affiliations
1 Indian Institute of Plantation Management, Jnana Bharathi Campus, Bangalore, Karnataka, IN
2 ICSSR Project, IN

Abstract

Tea plantations in India employ more than a million permanent workers, and perhaps twice as many seasonal labourers. This makes the industry the largest private-sector employer in the country. Declining productivity in the tea sector at the all India level gets manifested in the tea gardens of Assam much more pronouncedly than in any other state or region. While low labour productivity is frequently cited as the main reason behind faced by the sector, other variables such as inability to expand the area under cultivation, ageing of the tea bushes, inadequate replanting of bushes, inadequate investments in plant modernisation and labour welfare measures, and traditional, cost-ineffective management practices have also contributed towards the near stagnation of production Thus the study assumes greater significance in reviewing on violation of welfare benefits to the workers and how it is impacting in decreasing the productivity level of labour in the Assam tea plantation.

Keywords

Labour, Productivity, Tea Plantations.

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K. Nirmalakumari ¹, A. S. Nivetha ², M. Sangeetha ³

Affiliations
1 Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam - 638 401, IN
2 Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam - 638 401, IN
3 e Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam - 638 401, IN

Abstract

Lung cancer is proving to be a shattering threat to human-beings which is more common in people who used to smoke. Out of 100 different types of cancers observed in human body this is the third largest found cancer with less survival rate. Early detection of lung cancer can increase the chance of survival among people. Various image processing and soft computing techniques can be used to determine cancer cells from medical images. Most commonly CT-images are used for processing because of their high resolution, better clarity, low noise and distortions. This paper focuses on different techniques that have been proposed to provide detection of lung cancer.

Keywords

Lung Cancer, Image Processing, Histogram Equalization, Database, Enhancement, Smoothing, Classification.

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M. Sangeetha ¹, S. Ponne ¹

Affiliations
1 Department of Foods and Nutrition, Vellalar College for Women, Erode – 638012, Tamil Nadu, IN

Abstract

Breastfeeding is a fundamental pillar of child nutrition, with important implications for the health welfare due to its impact on morbidity and mortality, especially among children under one year of age. The process of secretion and production of milk in alveolus of breast after the birth of child is called lactation. Therefore, many use galactagogues to increase the milk production. Galactagogue helps in increasing the prolactin hormone levels. The present study was aimed the with objective to formulate galactagogue rich recipes and to access the knowledge on galactagogue and create awareness to pregnant and lactating women using developed aids. The study was carried out on 25 lactating women using interview schedule to assess their nutritional status, knowledge of breastfeeding practices and awareness of galactagogues. Galactagogue rich recipes such as galacta paratha, galacta tea, galacta pancake and galacta omelette were organoleptically evaluated by the 25 lactating women. Among the four galactagogue rich recipes galacta paratha received highest score and hence variations are shown. The nutrient content of the formulated galacta paratha (100g) was found to be 221.82 kcal of energy, 9.08g of protein, 4.78g of fat, 2.69mg of iron, 65.85mg of Calcium, 77.23μg of vitamin A, 5.38g of fibre and 35.20g of carbohydrates which indicates that galacta paratha was highly nutritious compared to other galactagogue rich recipes. Nutrition education and awareness program were given to pregnant and lactating women in groups using pamphlets and a 5-day menu was designed especially for lactating women. This study concluded that majority 60% of selected lactating women were not aware of the term galactagogues and about 60% of the selected lactating women experienced that their feeding pattern increased much after following prescribed menu. About 60% of the mothers breastfed their infant directly, 20% of them feed with the help of pumped milk and 20 % of them breastfed both directly and by use of pumped milk.

Keywords

Breastfeeding, Galactagogue Rich Recipes, Lactating Women, Pregnant Women

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