M. Vijayakumar ¹, R. Vijayakumar ², R. Stephen ³

Affiliations
1 Dept. of Biotechnology, Vinayaka Mission University, Salem - 636 308, TN, IN
2 Research Dept. of Microbiology, Bharathidasan University College for Women, Orathanadu – 614 625, TN, IN
3 Dept. of Botany, Government Arts College, Ariyalur – 621 713, TN, IN

Abstract

We report the micropropagation of Bacopa monnieri L. a medicinal plant from Shervarayan Hills, Salem, Tamil Nadu, India. Effect of auxins (IAA, NAA&2, 4-D) and cytokinins (BA, KIN&TDZ) on shoot induction and IAA and TDZ on ischolar_main induction were assessed. Callus induction on Murashige and Skoog's medium (MS) supplemented with NAA, 2,4-D and TDZ at various combinations/concentrations were also investigated. The auxiliary buds formed from both leaf and nodal explants on hormone free MS medium within 9 d. Growth hormones at different combinations brought out remarkable variations in shoot, ischolar_main and callus induction. Rooted plantlets were transferred to 10 different soil mixtures with various ratio/combinations of biological and natural fertilizers such as humus rich soil alone (control), soil with vesicular arbuscular mycorrhizae (VAM) (10:1&10:2) soil with vermicompost (4:1&4:2) soil with farmyard manure (4:1&4:2) soil with flyash (1:1&1:2) and soil with agropeat (4:1&4:2) in sterile polythene bags. When the plantlets were transplanted to the actual field, this pre-adaptation increased their survival as much as 80-90% (observed for 45 days).

Keywords

Bacopa monnieri L., Growth Hormones, Auxiliary Shoot Proliferation, Transplantation

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M. Vijayakumar ¹, V. Karthikeyani ²

Affiliations
1 Department of Computer Science, Manonmaniam Sundaranar University, Abishekapatti, Thirunelveli - 627012, Tamil Nadu, IN
2 Department of Computer Science, Govt. Arts women’s College, Yercaud Road, Salem - 636008, Tamil Nadu, IN

Abstract

Objectives: Voice over Internet Protocol (VoIP) could present excellent services through Mobile Ad hoc Networks (MANETs) platform. It could cover a lot of purpose scenario assortment of safety to comfort in the quality of services, the approach is based Improvisation of QoS using DBPQ for queuing technique in VO-MAN (VOIP+MANET) network. Methods/Statistical Analysis: Queuing has become a popular methodology for voice statement from side to side internet scenario. Mobile Ad hoc Networks (MANETs) presents a high-quality stage for the fast consumption of VoIP service in many applications scenario. Through a simulation study, we investigate and assess QoS parameters indicators such as delay, Jitter, Packet Delivery Ratio (PDR) and throughput. In the existing methods the queuing has been performed based on the analysis report, which has its drawbacks with mobile nodes. Hence a QoS based intelligent queue technique called DBPQ (Distance Based Priority Queue) has been proposed to analyze the performance of mobile models illustrate a travel pattern of the nodes. Findings: This paper proposes a method to assess and realize the DBPQ for the development of QoS in VoIP. The main objective of this paper is to allocate the bandwidth as per distance calculation by using RSSI algorithm concept in to undertake a fundamental investigation to enumerate the impact of various queuing mechanisms for VoIP (QoS) using DBPQ for queuing technique in Vo-MAN (VOIP+MANET) network. Applications/Improvements: The proposed system achieves significantly enhanced performance in network simulation than the existing systems by utilize better bandwidth allocation and high throughput access.

Keywords

VoIP, QoS, RED, RSSI, DBPQ, Vo-MAN, Mobile Ad Hoc Network.

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K. Uma ¹, K. Suhasini ¹, M. Vijayakumar ²

Affiliations
1 Department of IT, VIT University, Vellore - 632014, Tamil Nadu, IN
2 Department of English, VIT University,Vellore-632014, IN

Abstract

Brain tumor is one among the conscientious diseases in medical discipline. A brain tumor is an assembly of anomalous cells that develops in or around the brain area. These Tumors can candidly wreck firm brain cells. They can likewise by allusion harm sound cells by swarming different parts of the brain and bringing on irritation, brain swelling and weight inside the skull. Brain tumors are either dangerous or harmless. Brain tumor identification and segmentation is one of the trickiest and tedious undertaking in restorative image handling. MRI (Magnetic Resonance Imaging) is a therapeutic system, fundamentally utilized by the radiologist for representation of the inward structure of the human body without any surgery. MRI gives copious data about the delicate human tissue, which helps in the analysis of brain tumor. The exact segmentation of MRI image is essential for the analysis of brain tumor by system supported clinical apparatus. This paper focuses on various technologies and implementations for segmenting brain tumor images. Besides summarizing those classification techniques, this paper also provides a basic evaluation of these facets of segmenting tumor images.

Keywords

Fuzzy Clustering, K-Means Clustering, Linear Svm, Morphological Filtering, Mri Brain Tumor Segmentation, Neutrosophic Set Approach, Pnn and Grnn.

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