Abstract-Cluster based protocols like LEACH were found best suited for routing in wireless sensor networks. In mobility centric environments some improvements were suggested in the basic scheme. LEACH-Mobile is one such protocol. The basic LEACH protocol is improved in the mobile scenario by ensuring whether a sensor node is able to communicate with its cluster head. Since all the nodes, including cluster head is moving it will be better to elect a node as cluster head which is having less mobility related to its neighbours. In this paper, LEACH-Mobile protocol has been enhanced based on a mobility metric "remoteness" for cluster head election. This ensures high success rate in data transfer between the cluster head and the collector nodes even though nodes are moving. We have simulated and compared our LEACH-Mobile-Enhanced protocol with LEACHMobile. Results show that inclusion of neighbouring node information improves the routing protocol.
Anthocephalus cadamba (Roxb.) Miq. Syn A. chinensis (Lamk) A. Rich (Rubiaceae) is ethnomedicinally widely used in the form of paste by tribe in western Ghats for treating skin diseases. In this context, antimicrobial potential of A. cadamba against a wide range of microorganisms was studied. To validate the ethnotherapeutic claims of the plant in skin diseases, wound healing activity was studied, besides antioxidant activity to understand the mechanism of wound healing. The alchoholic and aqueous extract of this plant showed significant antibacterial and antifungal activity against almost all the organisms: Micrococcus luteus, Bacillus subtilis, Staphylococcus aureus, Escherichia coli, Klebsiella pneumoniae, Proteus mirabilis, Pseudomonas aeruginosa, and four fungi Candida albicans, Trichophyton rubrum-dermatophyte fungi, Aspergillus niger, Aspergillus flavus and Aspergillus nidulans-systemic fungi, with especially good activity against the dermatophyte (Trichophyton rubrum) and some infectious bacteria (Escherichia coli, Proteus mirabilis and Staphylococcus aureus) with an MIC of 2.5 µg/disc. The results show that A. cadamba extract has potent wound healing capacity as shown from the wound contraction and increased tensile strength. The results also indicated that A. cadamba extract possesses potent antioxidant activity by inhibiting lipid peroxidation and increase in the superoxide dismutase (SOD) and catalase activity.
Big data is a celebrated topic in Business as well as research community for several years. With the revolution of Big Data, it is becoming easy and less expensive to store tremendous amount of data for future analysis. Weather data gets accumulated very fast and on a large scale. Thorough analysis and research is required on handling this big data and utilizing it for accurate weather prediction. As deterministic weather forecasting models are usually time consuming, it becomes challenging to efficiently use this large volume of data in hand. Machine learning methods are already proved to be good replacement for traditional deterministic approaches in weather prediction. These algorithms are popular for their scalability and hence more suitable in big data solutions. This paper proposes an approach of processing such Big volume of weather Data using Hadoop. Proposal includes Artificial Neural Network implemented on Map-reduce framework for short term rainfall prediction. Rainfall is predicted one day ahead using temperature and rainfall data of immediately preceding days. Temperature and Rainfall data of India over past 63 years is used for this study.
Background:Cheiloscopy is a forensic investigation that deals with the examination of the system of furrows on the red part of human lips. Like fingerprint, lip print is also unique for every individual. But most of the crime-detecting agencies are unaware of the importance of lip print and it is not commonly attempted in identification of the suspects.Aim:The aim of the present study is to determine the predominant lip print pattern among Pondicherry population, India, and also to determine its uniqueness.Materials and Methods:The study comprised of 60 students (30 males and 30 females), aged from 17 to 25 years, from Pondicherry population, India. A dark-colored lipstick was applied with a single stroke and the students were asked to rub both the lips to spread the applied lipstick, after which a lip print was made on butter paper. The lip print was visualized with magnifying lens.Statistical Analysis:Percentage calculation method was used to identify the predominant lip pattern. One-sample T test was done to identify the statistical significance within the different types of lip pattern with P value <0.05.Results and Conclusion:The present study concludes that every individual has unique lip print and Type III appears to be the most predominant pattern in males, followed by the Type II, Type IV, Type I and Type V patterns. In females, Type II appears to be the most predominant pattern followed by the Type IV, Type I, Type III and Type V patterns.
India, using DSpace open source software. The study covers the structure, contents and usage of CUSAT digital library. Design/methodology/approach -This paper examines the possibilities of applying open source in libraries. An evaluative approach is carried out to explore the features of the CUSAT digital library. The Google Analytics service is employed to measure the amount of use of digital library by users across the world. Findings -CUSAT has successfully applied DSpace open source software for building a digital library. The digital library has had visits from 78 countries, with the major share from India. The distribution of documents in the digital library is uneven. Past exam question papers share the major part of the collection. The number of research papers, articles and rare documents is less. Originality/value -The study is the first of its type that tries to understand digital library design and development using DSpace open source software in a university environment with a focus on the analysis of distribution of items and measuring the value by usage statistics employing the Google Analytics service. The digital library model can be useful for designing similar systems.
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