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Sujatha, P.
- Effect of Pisolithus tinctorius on Growth of Eucalyptus tereticornis Seedlings in Nursery Conditions
Abstract Views :200 |
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Indian Forester, Vol 126, No 2 (2000), Pagination: 194-196Abstract
Fertilisation of forest soils with chemical fertilisers is not only expensive but also results in environmental pollution. Therefore, it has become essential to go for a cheaper, natural, effective and environmentally safer resources such as biofertitisers. About 95-99% of soil phosphorus occurs in fohns that is not directly available to plant ischolar_mains. Further, its mobility in soils is very low. In such conditions mycorrhiza through symbiotic association offers an effective and long lasting remedy by solubilising unavailable phosphorus and converting them into available form, thereby acting as 'biofertilisers'. Pisolithus tinctorius is an ectomycorrhizal fungus living symbiotically with the ischolar_mains of Eucalyptus. Fruiting bodies of Pisolithus tinctorius were collected from different places and different strains were isolated. Axenic cultures were established on solid and liquid MMN media. From the axenic culture, mycobeads were prepared and applied to the Eucalyptus seedlings. Uninoculated seedlings were maintained as control under identical conditions to compare the growth the biomass. The fungal infected seedlings have better growth and ischolar_main development.
- Urban Health in India: Chennai City as a Case Study
Abstract Views :467 |
PDF Views:148
Authors
Affiliations
1 Asst. Professor, Dept. of Geography, Bharathi Women’s College (A), Chennai-108, TN, IN
2 Intelligent Network & Value Added Service, Telecom Development Company Afghanistan Ltd., Kabul, AF
1 Asst. Professor, Dept. of Geography, Bharathi Women’s College (A), Chennai-108, TN, IN
2 Intelligent Network & Value Added Service, Telecom Development Company Afghanistan Ltd., Kabul, AF
Source
Indian Journal of Science and Technology, Vol 3, No 12 (2010), Pagination: 1236-1246Abstract
The urban population in Chennai city is expected to increase tremendously by 2030. Currently, a sizable proportion of the population in most urban area lives in slum areas. The increasing slum population in urban areas are seen an indication of worsening living conditions and increasing poverty in urban areas. The increasing concentration of population in slums and urban poverty has elicited a strong interest in urban health conditions in general and the health of slum dwellers and the urban poor in particular. The present study provides spatial-information on an extent of poverty by slum/non-slum residence according to the census; demographic and socio-economic characteristics of slum/non-slum residents and the urban poor; Household living conditions; health and health care for the Chennai city. The perceptional study has been adopted for the future planning of urban health/living conditions.Keywords
Urban Population, Slum Population, Non-Slum Population, Urban Poverty, Urban HealthFull Text
References
- Aldrich BC and Sandhu RS (1995) Housing for the urban poor, New Delhi, Sage publications.
- Banerji D (1982) Poverty, class and health culture in India. Vol. 1. New Delhi:Prachi Prakashan.
- Hanumantha Rao CH (1998) Agricultural growth,sustainability and poverty alleviation. Economic Political Weekly. 33(29&30). 613-617.
- Kundu NK and Kanitkar T (2002) Primary healthcare in urban slums. Economic & Political Weekly. 5086–5089.
- Swami HM, Thakur JS, Gupta M and Bhatia SP (2004) Improving environmental conditions of a slum in Chandigarh by an awareness camp. J. Environ. Sci. Engg. 46, 252-256.
- Taneja S, Aggarwal S, Kleinan E (2003) Health vulnerability assessment in urban slums: A tool for targeting interventions and scarce resources, environment health project, USAID-India, New-Delhi, 131st annual meeting of APHA.
- Solid Waste Management in Chennai City
Abstract Views :333 |
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Authors
Affiliations
1 Department of Geography, Bharathi Women’s College (A), Chennai-600108, Tamil Nadu, IN
2 Telecom Development Company, Afghanistan Ltd, Kabul, AF
1 Department of Geography, Bharathi Women’s College (A), Chennai-600108, Tamil Nadu, IN
2 Telecom Development Company, Afghanistan Ltd, Kabul, AF
Source
Indian Journal of Education and Information Management, Vol 1, No 3 (2012), Pagination: 115-125Abstract
Human activities create waste, and the way these wastes are handled, stored, collected and disposed of, which can pose risks to the environment and to public health. Where intense human activities concentrate, such as in urban centers, appropriate and safe solid waste management (SWM) are of utmost importance to allow healthy living conditions for the population. Rapid increase in volume and types of solid and hazardous waste as a result of continuous economic growth, urbanization and industrialization, is becoming a burgeoning problem for national and local governments to ensure effective and sustainable management of waste. The environmental degradation caused by inadequate disposal of waste can be expressed by the contamination of surface and ground water through leach ate, soil contamination through direct waste contact or leach ate, air pollution by burning of wastes, spreading of diseases by different vectors like birds, insects and rodents, or uncontrolled release of methane by anaerobic decomposition of waste. This fact has been acknowledged by most governments, however many municipalities are struggling to provide even the most basic services. Typically one to two thirds of the solid waste generated is not collected (World Resources Institute, et al., 1996). Solid Waste (SW) generation in Chennai, the fourth largest metropolitan city in India, has increased from 600 to 3500 tons per day (tpd) within 20 years. The highest per capita solid waste generation rate in India is in Chennai (0.6 kg/d). Chennai is divided into 10 zones of 155 wards and collection of garbage is carried out using door-to-door collection and street bin systems. The collected wastes are disposed at open dump sites located at a distance of 15 km from the city. The community-based solid waste decomposition is an ideal and a safe disposal method, is more beneficial for solid waste management, as it easily converts waste to valuable fertilizerKeywords
Economic Growth, Population, Solid Waste, Urban Poverty, Environment ProblemsFull Text
References
- Corporation of Chennai (2012) Solid waste Management. Available at: http://www.chennaicorporation.gov.in/departments/solid-waste-management/index.htm
- Esakku S (2007) Municipal solid wate management in chennai city. Proceedings Sardinia 2007, Eleventh International Waste Management and Landfill Symposium. S. Margherita di Pula, Cagliari, Italy; 1 - 5 October 2007.
- Post Traumatic Stress Disorder in Facial Trauma Patients
Abstract Views :267 |
PDF Views:1
Authors
Affiliations
1 Department of Oral & Maxillofacial Surgery, SMBT Dental College, Sangamner, Maharashtra, IN
2 Department of Oral and Maxillofacial Surgery, SMBT Dental College, Sangamner, Maharashtra, IN
3 Clinical Psychologist, Mumbai, IN
1 Department of Oral & Maxillofacial Surgery, SMBT Dental College, Sangamner, Maharashtra, IN
2 Department of Oral and Maxillofacial Surgery, SMBT Dental College, Sangamner, Maharashtra, IN
3 Clinical Psychologist, Mumbai, IN
Source
Indian Journal of Health and Wellbeing, Vol 2, No 2 (2011), Pagination: 460-461Abstract
Facial disfigurement can result in a severe loss of confidence and can cause long term psychological suffering often to resurface long after the aesthetic healing is underway. The management of facial injuries should integrate a multidisciplinary approach that addresses the psychological needs of the patients in both the short term and the long term. Close attention by surgeons towards patient's behaviour may aid in early identification of post traumatic stress disorder in facial trauma patients.- Performance Analysis of Different Edge Detection Techniques for Image Segmentation
Abstract Views :148 |
PDF Views:0
Authors
P. Sujatha
1,
K. K. Sudha
2
Affiliations
1 Department of Computer Science, Vels University, Chennai - 600 117, Tamil Nadu, IN
2 School of Computing Sciences, Vels University, Chennai - 600 117, Tamil Nadu, IN
1 Department of Computer Science, Vels University, Chennai - 600 117, Tamil Nadu, IN
2 School of Computing Sciences, Vels University, Chennai - 600 117, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 14 (2015), Pagination:Abstract
Objectives: This paper provides the performance analysis of three edge detection operators on the basis of intensity value and high gradient. Methods: Edge detection is considered to be the building blocks of image processing for object detection and it is an important technique in image segmentation. Sobel, Prewitt and Roberts are some of the edge detection operators discussed in this paper. MATLAB R2013a is used to analyze the performances of these operators using an input image. Findings: In order to classify the operators, the limitations are identified and the performance analysis is done on the basis of obtained results. Based on the intensity value, Prewitt produces better result than Sobel and Roberts. At the same time, Sobel locates the edges with high gradient. Likewise, Roberts produces quick result due to small filter. Application/Improvement: The performance of these operators has been analyzed and realized that each operator is recognized as the best under various conditions.Keywords
Edge Detection Operators, Image Segmentation, Prewitt, Roberts, SobelFull Text
- Radial Basis Function Neural Network for Image Steganalysis in Computer Forensics
Abstract Views :162 |
PDF Views:1
Authors
Affiliations
1 School of Computing Sciences, Vels University, Chennai, IN
2 Udaya School of Engineering, Kanyakumari – 629 204, Tamil Nadu, IN
3 Mother Therasa University, Kodaikanal, IN
1 School of Computing Sciences, Vels University, Chennai, IN
2 Udaya School of Engineering, Kanyakumari – 629 204, Tamil Nadu, IN
3 Mother Therasa University, Kodaikanal, IN
Source
Digital Image Processing, Vol 4, No 18 (2012), Pagination: 984-988Abstract
The covert communication based on steganography is a challenging technology for governments. Using this most powerful technique terrorists and spies communicate with each other to exchange their plan which is not detected by law enforcement. In order to avoid the misusage of steganographic technique, the government needs to find out some powerful techniques to detect the existence of the hidden data in the digital media. This leads to the concept of steganalysis that is used in many fields such as digital forensics, medical imaging, and journalism. Apart from all modern sciences and technologies, Artificial Neural Network (ANN) plays a vital role in capturing and representing both linear and non-linear relationships. ANN is an intelligent system which enables machines to solve problems like human by extracting and storing the knowledge. Hence to incorporate intelligent method for steganalysis, this paper implements Artificial Neural Network to overcome the drawbacks of the conventional methods. The most powerful Radial basis function algorithm is proposed in this paper since it is more suitable for non-linear data. This paper concentrates on detecting the hidden information for digital forensics application.Keywords
Artificial Neural Network, Covert Communication, Radial Basis Function (RBF), Steganography, Steganalysis.- Providing Enhanced Security on Monitoring Using Multifeature Background Subtraction with Support Vector Machine
Abstract Views :178 |
PDF Views:2
Authors
Affiliations
1 Department of Computer Science & Engineering, V.R.S College of Engineering & Technology, Arasur, Villupuram, IN
1 Department of Computer Science & Engineering, V.R.S College of Engineering & Technology, Arasur, Villupuram, IN
Source
Data Mining and Knowledge Engineering, Vol 7, No 9 (2015), Pagination: 311-315Abstract
Picture and video preparing assume an essential part in the improvement of innovations for managing security issues, observation cameras are broadly diffused as method for wrongdoing decrease, and picture examination devices are utilized as a part of the criminology field. In this venture we are examining about the improved security on using so as to observe reconnaissance multi highlight background subtraction with bolster vector machine. Background displaying and subtraction is a characteristic procedure for item location in recordings caught by a static camera or CCTV furthermore basic pre-handling ventures in different abnormal state PC vision applications. A pixel perceptive generative background model is gotten for every component proficiently and viably by Kernel Density Approximation (KDA). Background subtraction is performed in a discriminative way utilizing a Support Vector Machine (SVM) over background probability vectors for an arrangement of components. In our calculation shading, angle and Haar like components are incorporated to handle spatio-worldly varieties for every pixel. In a confined range or some open zone when a unidentified individual enters without the authorization, in an observation recordings that specific persons face can't be distinguished plainly implies, with the assistance of background subtraction procedure the picture of the specific persons face can be obviously recognized with no scattered in the pixel of the picture.Keywords
Haar Like Features, Background Subtraction, Support Vector Machine, KDA, Background Modeling.- Prediction of Groundwater Levels Using Different Artificial Neural Network Architectures for Tirupati Mandal
Abstract Views :170 |
PDF Views:0
Authors
Affiliations
1 Department of Civil Engineering, Government Polytechnic for Women, Kadapa-516 002, A.P., IN
2 Department of Civil Engineering, S.V. University, Tirupati-517 507, A. P., IN
1 Department of Civil Engineering, Government Polytechnic for Women, Kadapa-516 002, A.P., IN
2 Department of Civil Engineering, S.V. University, Tirupati-517 507, A. P., IN
Source
Nature Environment and Pollution Technology, Vol 8, No 3 (2009), Pagination: 429-436Abstract
Performance of four types of functionally different artificial neural network (ANN) models, namely Feed forward neural network, Elman type recurrent neural network, Input delay neural network and Radial basis function network was examined in order to identify an efficient ANN architecture that can simulate the water table fluctuations using a relatively short length of groundwater level records. Due to inherent advantages, Levenberg Marquardt algorithm (trainlm) has been used in the present study. The town Tirupati, located in Chittoor district of the drought-prone Rayalaseema region of Andhra Pradesh having resident population of over 3.0 lakhs and pilgrims of over 50,000 per day was chosen as the study area as its groundwater levels showed a rapid decline in the last decade due to overexploitation for the domestic, agricultural and industrial needs. Accurate prediction of groundwater levels will help the administrators to plan better the groundwater resources. Results show that accurate predictions can be achieved with Feed Forward Neural Network trained with training algorithm Levenberg-Marquardt with the available shorter length data.Keywords
Neural Network, Groundwater Level, Forecasting, Evapotranspiration, Tirupati Mandal.Full Text
- Banking or IT:The Greatest Contributor to Sustainability through GHRM
Abstract Views :179 |
PDF Views:4
Authors
Ingrid Sylvia
1,
P. Sujatha
1
Affiliations
1 Department of Business Administration, St. Anns College for Women, Medhipatnam, Hyderabad, IN
1 Department of Business Administration, St. Anns College for Women, Medhipatnam, Hyderabad, IN
Source
International Journal of Innovative Research and Development, Vol 5, No 2Sp (2016), Pagination: 109-118Abstract
The services sector, with around 52 per cent contribution to the Gross Domestic Product (GDP) in 2014-15, has made rapid strides in the past decade and a half to emerge as the largest and one of the fastest-growing sectors of the economy. The services sector is not only the dominant sector in India’s GDP, but has also attracted significant foreign investment flows, contributed significantly to exports as well as provided large-scale employment. As service sector transitioned the economy to a knowledge economy and will continue to see the vigorous growth which will further propel its expansion, a need was felt to analyze this robust service sector in contributing to the sustainability factor – that is the practice of green HRM(GHRM) in the organization. With banking named as one of the oldest component of the Indian service sector which has contributed to the economic development and the IT being the most recent component this research aims at studying the various GHRM practices at the banking and IT sector. The research also analyzed and evaluates the contribution of these sectors toward sustainability through GHRM. Primary data from various employees of IT firms and Banks were collected across India with the intention of identifying the contribution of these sectors to the sustainability through GHRM.
Keywords
Service Sector, Sustainability, Green HRM, Banking, IT.Full Text
- Detection of Monsoon Progress Using Relative Humidity Profiles of Troposphere
Abstract Views :125 |
PDF Views:5
Authors
Source
International Journal of Innovative Research and Development, Vol 3, No 4 (2014), Pagination:Abstract
Present analysis emphasises on the change in the vertical profiles of relative humidity (RH) with the progress of Indain summer monsoon during 2009, 2010 and 2011. The study is carried out with the onset of monsoon over Kerala and its progress in Mumbai and Delhi. Relative humidity profiles are obtained using NOAA/ERSL radiosonde observations and Global Positioning System Radio Occultation (GPSRO),Constellation Observing System for Meteorology Ionosphere and Climate (COSMIC) derived 1-DVAR temperature, pressure and water vapour pressure profiles. High relative humidity between 5 and 7 Km is observed one day before onset over the above mentioned stations. Whereas, on onset day, a significant dip in RH at the similar altitude can be considered as a signature for monsoon onset.
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