12 research outputs found

    A DISTRIBUTED RESOURCE-MANAGEMENT APPROACH IN MANETS

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    Mobile ad hoc network (MANET) is an infrastructure less network, in where all mobile nodes are free for any movement to any side. Thus the network is going toward zero configurations that would create some problems. Ad hoc network is faced with various limitations that need to be considered among design and implementation of any protocol for it. Service Advertisement (SA) is one of the important services that are offered in each network. To have a fast service discovery in a network with minimum energy consumption, distributing of services’ information and their management play important roles. In this paper for avoiding packet flooding in the MANET we used Cluster Based Routing Protocol (CBRP). For reducing amount of communication messages we moved service advertisement from application layer to routing layer. Thus we distribute the active services in the network among clustered nodes. However, the results of our experiment show that our method does not add any extra overhead to the network

    Sign Language Recognition

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    This chapter covers the key aspects of sign-language recognition (SLR), starting with a brief introduction to the motivations and requirements, followed by a précis of sign linguistics and their impact on the field. The types of data available and the relative merits are explored allowing examination of the features which can be extracted. Classifying the manual aspects of sign (similar to gestures) is then discussed from a tracking and non-tracking viewpoint before summarising some of the approaches to the non-manual aspects of sign languages. Methods for combining the sign classification results into full SLR are given showing the progression towards speech recognition techniques and the further adaptations required for the sign specific case. Finally the current frontiers are discussed and the recent research presented. This covers the task of continuous sign recognition, the work towards true signer independence, how to effectively combine the different modalities of sign, making use of the current linguistic research and adapting to larger more noisy data set

    A Distributed Resource-Management Approach in MANETs

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    Mobile ad hoc network (MANET) is an infrastructure less network, in where all mobile nodes are free for any movement to any side

    Effectiveness of sambucus ebulus leaf extract in treatment of cutaneous leishmaniasis: A double blind clinical trial

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    Background and purpose: Cutaneous leishmaniasis is a skin disease manifested as chronic ulcerative skin lesions. Current standard therapies for this disease are associated with some problems such as high cost, numerous side effects, need for injections, and drug resistance. Sambucus ebulus is used in treatment of skin inflammation. This study aimed at investigating the effects of S. ebulus leaf extract on cutaneous leishmanisis. Materials and methods: This clinical trial was performed in 110 patients who were divided into intervention (n=55) and control groups (n=55). All patients received the standard treatment for leishmanisis. In addition, the intervention group received topical treatment of S. ebulus leaf extract 5, while the control group received placebo. The therapy was continued until complete epithelialization of the lesions. Before the intervention and at the end of each week (until complete epithelialization of the lesions), healing progress and clinical characteristics of the lesions, including the size, induration, and degree of epithelialization were recorded. Results: The intervention accelerated the decrease in mean diameter of lesions (P<0.05) but had no significant effect on the mean duration of therapy (P=0.31), treatment outcome (P=0.87), degree of recovery (P= 0.95). Conclusion: The use of S. ebulus leaf extract ointment (5) along with the standard therapy showed no effect on the treatment outcome of lesions caused by cutaneous leishmaniasis. © 2020, Mazandaran University of Medical Sciences. All rights reserved

    Development of PMMA-Mon-CNT bone cement with superior mechanical properties and favorable biological properties for use in bone-defect treatment

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    Treatment of bone defects requires materials or bone cement with superior mechanical properties and favorable biological properties, but this remains unachievable to date. To address this issue, the present study aimed to synthesize and characterize a novel poly(methyl methacrylate) (PMMA) bone cement containing monticellite (Mon) and carbon nanotubes (CNTs) for bone defect treatment. Considerably better mechanical properties were noted in the PMMA-Mon-CNT vs. PMMA and PMMA-Mon bone cements due to the unique resistance of CNTs to crack formation and propagation. Favorable bioactivity was also found in the bone cements containing Mon and CNTs, whereas the PMMA bone cement presented poor bioactivity. Specifically, the incorporation of Mon and CNTs into the PMMA matrix promoted the attachment of MG63 cells compared to the PMMA cement. Thus, the PMMA-Mon-CNT bone cements developed are good potential candidates for filling bone defects in orthopedic surgeries
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