48 research outputs found
HeronEye: Survey on Coordinated and Efficient Huge Page Management to Fine-grained OS Support
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Mathematical Model of Security Framework for Routing Layer Protocol in Wireless Sensor Networks
No full textAbstractMost of the environmental and non-attended applications of Wireless Sensor Networks (WSN's) need mobile sensor nodes. However, mobility of sensor nodes increases security issues in WSNs and it's also vulnerable to various kinds of attacks. Dynamic WSN emerges two most common issues related to the authentication of moving sensor nodes and security in communication and key distribution. After possible movement of sensor node requires authenticating again and again from the base station or some other trusted nodes. Similarly, confidentiality in communication and key distribution is an important factor against man-in-middle type of attacks. Till the day most of the WSN's security researchers concentrate on the static environment. Though there schemes are secure and efficient but not sufficient to secure mobile WSN's environment. In this paper we have proposed a novel protocol framework and related mathematical model for secure routing layer communication and key distribution in mobile WSN's. After that we apply this model for performance evaluation on the basis of static as well as dynamic scenario for different number of nodes which shows that our framework is satisfactorily suitable for dynamic WSNs applications
Self-organization Strategies for Hierarchical Network Structure in Wireless Ad Hoc Networks: A Short Survey
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Degradation study of a reversible solid oxide cell (rSOC) short stack using distribution of relaxation times (DRT) analysis
No full textReversible solid oxide cells (rSOC) can convert excess electricity to valuable fuels in electrolysis cell mode (SOEC) and reverse the reaction in fuel cell mode (SOFC). In this work, a five - cell rSOC short stack, integrating fuel electrode (Ni-YSZ) supported solid oxide cells (Ni-YSZ parallel to YSZ vertical bar CGO parallel to LSC-CGO) with an active area of 100 cm(2), is tested for cyclic durability. The fuel electrode gases of H-2/N-2:50/50 and H-2/H2O:20/80 in SOFC and SOEC mode, respectively, are used during the 35 reversible operations. The voltage degradation of the rSOC is 1.64% kh(-1) and 0.65% kh(-1) in SOFC and SOEC mode, respectively, with fuel and steam utilisation of 52%. The post-cycle steady-state SOEC degradation of 0.74% kh(-1) suggests improved lifetime during rSOC conditions. The distribution of relaxation times (DRT) analysis suggests charge transfer through the fuel electrode is responsible for the observed degradation. (C) 2022 The Author(s). Published by Elsevier Ltd on behalf of Hydrogen Energy Publications LLC.SCI-STI-JV
Implementing the market approach to enterprise support - an evaluation of ten matching grant schemes
Get PDFDeveloping viable new business is critical to recovery, and long-term growth, especially in transition economies. There has been a long history of public support of enterprise development, starting with centralized state agency initiatives, but moving more recently to decentralized instruments for development of the business services market. The window of time during which the benefits of intervention are likely to be greatest: when a market is in its infancy, and its development is constrained by uncertainty, and lack of information. Interventions for enterprise support should be demand-responsive, and flexibly organized. In some circumstances, centralized assistance may still be effective, but it is generally better to use competitive private service providers responding to enterprises'changing needs. The main task is to stimulate the private services sector, improving its capacity to respond to the demands of new, and expanding private enterprises. Support for enterprises has tended to be either free, or heavily subsidized. But such subsidies can be justified only if interventions efficiently supply goods. Providing technical, and management know-how can be a public good if it generates externalities- if, for example, know-how benefits can be disseminated at proportionately low additional cost. Any subsidy for an intervention should be temporary, and should be phased out when the main objective of intervention is achieved - that is, when the market takes off. Grants should generally be for know-how, not for equipment. There may be a case for unbundling the know-how component of loans (including feasibility studies, and follow-up expert services) for grant funding. A package combining loans and grants - through a single financial institution, or through separate institutions - may work provided safeguards can be put in place to prevent perverse use of grants. The matching grant model, which is used increasingly in the World Bank, and elsewhere, is one solution - but it must be justified, and carefully designed. After evaluating ten matching grant funds, the author concludes that performance is mixed. Best practice models are needed. Ensuring economic benefits requires proactive management, with clear objectives of market facilitation ("making a market"). And it requires a balance between rapid grant approval procedures, and careful selection of services for grants.Economic Theory&Research,Decentralization,Enterprise Development&Reform,Environmental Economics&Policies,Banks&Banking Reform,Health Economics&Finance,Banks&Banking Reform,Economic Theory&Research,Environmental Economics&Policies,ICT Policy and Strategies
Automatic Classification of Medicinal Plants Using State-Of-The-Art Pre-Trained Neural Networks
Get PDFNow a days every mankind is suffering due to infections. Ayurveda, the science of life helped to take preventive measures which boost our immunity. It is plant-based science. Many medicinal plants found useful in daily life of common people for boosting immunity. Identifying the plant species having medicinal plant is challenging, it requires botanical expert. In the process of manual identification, botanical experts use various plant features as the identification keys, which are examined adaptively and progressively to identify plant species. The shortage of experts and trained taxonomist created global taxonomic impediment problem which is one of the major challenges. Various researchers have worked in the field of automatic classification of plants since the last decade. The leaf is considered as primary input as it is available throughout the whole year. The research paper mainly focuses on the study of transfer learning approach for medicinal plant classification, which reuse already developed model at the starting point for model on a second task. Transfer learning approach is a black box approach used for image classification and many more applications by extracting features from an image. Some of the transfer learning models are MobileNet-V1, VGG-19, ResNet-50, VGG-16. Here it uses Mendeley dataset of Indian medicinal plant species which is freely available. Output layer classifies the species of leaves. The result provides evaluation and variations of above listed features extracted models. MobileNetV1 achieves maximum accuracy of 98%
