Informatics Publishing Limited

V. Srinivasan ¹, Rahimah Zakaria ², Zahiruddin Othman ³, Amnon Brzezinski ⁴

Affiliations
1 Sri Sathya Sai Medical Educational and Research Foundation, Prasanthi Nilayam, 40-Kovai Thirunagar, Coimbatore-641014, Tamilnadu, IN
2 Department of Physiology, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, MY
3 Department of Psychiatry, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, MY
4 Department of Obstetrics and Gynecology, The Hebrew University, Hadassah Medical Center, Jerusalem, 91120, IL

Abstract

Due to inconsistency among reports on the therapeutic efficacy of melatonin, attention has been focused on the development of more potent melatonin analogues with prolonged effects. Melatonergic drugs, ramelteon and agomelatine have been effective in treating either sleep disorders or sleep disturbances associated with depressive disorders. MT₁ and MT₂ melatonergic receptor agonist, ramelteon, was found effective in increasing total sleep time and sleep efficiency, and in reducing sleep latency in patients with insomnia. No reduction in its efficacy was found even after 6-12 months of continuous use. The mechanism of sleep promoting action of ramelteon is entirely different from that of conventional hypnotics that are in use today. Ramelteon's use is not associated with any adverse effects even after six months to one year after its continuous usage. Another melatonergic drug, agomelatine, has also been found effective in improving sleep efficiency and quality, and this action of agomelatine is suggested to be one of the major mechanism by which agomelatine ameliorates depressive symptoms in patients with major depressive disorders and bipolar disorders.

Keywords

Melatonin, Ramelteon, Insomnia, Agomelatine, Depressive Disorder.

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R. Dinesh ¹, V. Srinivasan ¹, S. Hamza ¹, M. Anandaraj ¹

Affiliations
1 Indian Institute of Spices Research (ICAR), P.O. Box 1701, Marikunnu P.O., Calicut 673 012, IN

Abstract

No Abstract.

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S. RamaLakshmi ¹, V. Suganya ¹, B. Saranya ¹, V. Srinivasan ¹

Affiliations
1 Department of CSE, Narasu's Sarathy Institute of Technology, Salem, IN

Abstract

Our paper proposes a decentralized access control scheme for storing data or file in cloud securely with anonymous authentication. Authenticity of the content will be verified without knowing the user’s identity with the help of attribute based signature. Data will be encrypted under attribute based encryption and it will be decrypted only for users with attributes specified by the access policy using their key. Encryption and decryption keys are provided through decentralized scheme with two or more KDC’s and access control is provided by access control schemes which defines who have access to data.

Keywords

Access Control, Cloud Storage, Attribute Based Encryption, Attribute Based Signature, Decentralized.

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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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V. Srinivasan ¹, R. Ilayaraja ²

Affiliations
1 Department of Computer Science, SRM Arts and Science College, Kattankulathur, Kanchipuram (T.N.), IN
2 Department of Micrologist, Sree Renga Hospital, Chengalpattu (T.N.), IN

Abstract

Data mining refers to extracting or mining knowledge from large amounts of data. Data mining is multidisciplinary field, drawing work from area including data base technology, artificial intelligence machine learning neural network, statistical, pattern mining, knowledge based system, knowledge acquisition, information retrieval, high performance computing and data visualization. Data mining plays an important role in the knowledge discovery process in medical data base. Using data mining techniques Malaria diseases prevention of knowledge, attitude and practice we can be easily prediction from people attributes and various diseases of symptoms. Malaria remains one of the most causes of maternal and child morbidity and mortality in Tamilnadu population, despite the availability of effective interaction. This objective of this study was to learn the data mining knowledge discovery the techniques for prediction of KAP (knowledge attitude and practice) on fever diseases symptoms, prevention and awareness to develop the health care in our society. This study aims to describe the knowledge attitude, and practices towards malaria among rural, urban and sub urban peoples and to determine scoring predictors of urban people's of knowledge and practice. A multistage, stratified, random sample method was applied. A total of 1500 peoples, each group have 500 peoples completed confidential self administrated questioner. KAP towards malaria deficient among target populations, especially among urban, sub urban and rural peoples. Information, education and communication activity indicated to create awareness among the community.

Keywords

People Knowledge, Attitutde and Practice, Malaria Diseases, Data Mining.

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V. Srinivasan ¹, R. Ilaya Raja ², R. Babujanarthanan ³

Affiliations
1 Department of Computer Science, SRM Arts and Science College, Kattankulathur, Kancheepuram (T.N.), IN
2 Sree Renga Hospital, Chengalpattu, Kancheepuram (T.N.), IN
3 P.G. Department of Biochemistry and Microbiology, K.M.G. College of Arts and Science, Gudiyattam, Vellore (T.N.), IN

Abstract

Data mining knowledge discovery techniques process of employing one or more machine learning techniques to automatically analysis and extract the knowledge from large database. Data mining explore action and analysis of large quantities of data in order to discover meaningful patterns and rules. ICT (Information Communication and Technology) reached all level in human being, but healthcare and pharmaceutical organization till they have patient of attributes, diseases of various sysmptoms, past history, and feature treatment of forecasting information of large database store and forwarding to retrievals through computer software necessary to healthcare relevant all organization. Electronic health record (EHR) system for necessary and high-quality patient treatment. Cautious design of delegation mechanism must be in place as a building block of various hospital cooperation, since the cooperation inevitably involves exchanging and sharing relevant patient data that are considered highly private and confidential. The delegation mechanism grants permission and restricts access rights of a cooperating partner. Patients are unwilling to accept the EHR system unless their health data are guaranteed proper use and disclosure, which cannot be easily achieved without different transaction of domain like various hospital respect to authentication and fine-grained access control. In addition, revocation of the delegate rights should be possible at any time during the cooperation. In this paper, we propose a secure EHR system, based on cryptographic constructions, to enable secure sharing of sensitive patient data during cooperation and preserve patient data privacy. Our EHR system further incorporates advanced mechanisms for fine-grained access control, and on-demand revocation, as enhancements to the basic access control offered by the delegation mechanism, and the basic revocation mechanism, respectively EHR system is demonstrated to fulfill objectives specific to the online transaction, encryption and decryption methods performance predict the data mining decision tree and clustering techniques.

Keywords

Patient Electronic Health Record, Encryption, Decryption, Java Swing, Decision Tree Data Mining.

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P. N. Ballukraya ¹, V. Srinivasan ²

Affiliations
1 University of Madras, Chennai 600 025, IN
2 Ashoka Trust for Research in Ecology and the Environment, Bengaluru 560 064, IN

Abstract

Analyses of 83 borehole camera video scans revealed that (i) measured groundwater levels show variations of up to about 200 m, even in borewells located in close proximity to each other; (ii) water-bearing joints located at shallow depths in deeper borewells often produce cascades of water which flow down-hole till they meet the water level; (iii) the downward flow of recharging waters directly through the existing bore-well shafts leads to the formation of a dewatered zone below the recharge zone and above the saturated zone, and (iv) the borewells completed in the dewatered zone show a direct relationship between water level and well depth – deeper the borewell, deeper is the water level. Only the currently yielding borewells, with at least one water-yielding joint below the water level give a fair estimate of the regional groundwater table.

Keywords

Borehole Depth, Dewatered Zone, Fractured Rock Aquifer, Groundwater Level.

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K. M. Nair ¹, K. S. Anil Kumar ¹, M. Lalitha ¹, Shivanand ¹, S. C. Ramesh Kumar ¹, S. Srinivas ¹, Arti Koyal ¹, S. Parvathy ¹, K. Sujatha ¹, C. Thamban ², Jeena Mathew ², K. P. Chandran ², Abdul Haris ², V. Krishnakumar ², V. Srinivasan ³, Jessy ⁴, James Jacob ⁴, J. S. Nagaraj ⁵, Maria Violet D’Souza ⁵, Y. Raghuramulu ⁵, R. Hegde ¹, S. K. Singh ¹

Affiliations
1 Regional Centre, ICAR-National Bureau of Soil Survey and Land Use Planning, Hebbal, Bengaluru 560 024, IN
2 ICAR-Central Plantation Crops Research Institute, Kasaragod 671 124, IN
3 ICAR-Indian Institute of Spices Research, Kozhikode 673 012, IN
4 Rubber Research Institute of India, Kottayam 686 009, IN
5 Coffee Research Institute, Chikmagalur 577 117, IN

Abstract

Natural forests and managed plantations constitute the largest land-use systems in the humid tropics of southwestern parts of Peninsular India comprising the Western Ghats and coastal plain. Soils therein are naturally acidic and the acidity is enhanced in managed land-use systems through inputs of chemical fertilizers. Plant nutrient deficiencies and mineral toxicities constrain crop production in acid soils. Surface soil and subsoil acidity in forest, coffee, rubber and coconut land-use systems was evaluated. The spatial pattern of surface soil and subsoil acidity pointed to low intensity of acidification in Malnad region of Karnataka, moderate acidity in northern Kerala and strong acidity in southern Kerala. Among the land-use systems studied, soils under natural forests and coffee plantations were only slightly acidic in surface soil and subsoil, whereas rubber- and coconut-growing soils were strongly acidic. Both natural and managed land-use systems, however, had strongly acid reaction in surface soil and subsoil in southern Kerala. Biomass production and crop yield are constrained in strongly acid soil by toxic levels of aluminium (Al) on soil exchange complex (>0.5 cmol (+) kg^–1 soil) and depletion of basic cations of calcium, magnesium and potassium (base saturation less than 50% or Al saturation more than 50%). Surface soil acidity can be ameliorated by incorporating liming materials into surface soils. In case of subsoil acidity gypsum too should be incorporated. Under humid climate partial solubility of gypsum permits movement of calcium into the subsoil layers, wherein calcium replaces the aluminium on exchange complex and sulphate radical precipitates the aluminium by formation of aluminium sulphate.

Keywords

Base Saturation, Humid Tropics, Land-Use Systems, Surface Soil and Subsoil Acidity.

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